This study focuses on implementing electric vehicles (EVs) in developing countries where energy production is mainly based on fossil fuels. Although for these countries the environmental short-run benefits of the EVs cannot offset the short-run costs, it may still be the best option to implement the EVs as soon as possible. Hence, it is necessary to evaluate the alternatives to introducing EVs to the market due to the environmental concerns that created an opportunity for some developing countries to (...) catch up with the international competition. Therefore, we develop a case scenario to explore the decision-making process in implementing the EVs with three alter natives and twelve criteria. We solve the decision-making problem by using Type-2 neutrosophic numbers (T2NNs) based on the RAFSI (Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval) method. The proposed model combines the advantages of the RAFSI technique, and it applies T2NNs to address the uncertainties. The results show that the alternatives that may suspend the implementation of the EVs are inferior. Direct implementation of EVs is prioritized. The policy implications of the results are discussed in the study. (shrink)

Hybrid Electric Vehicles (HEVs) are known for their ability to reduce carbon emissions and fuel consumption. However, managing the thermal aspects of HEVs, especially concerning their powertrains and battery systems, remains a significant challenge. Traditional cooling mechanisms often result in inefficiencies due to their static nature. This paper proposes an AI-based thermal management system designed to address these limitations by offering dynamic, adaptive thermal regulation for HEVs. The system integrates real-time data monitoring with AI algorithms to optimize the (...) cooling process based on vehicle operating conditions, thereby reducing energy wastage and enhancing overall vehicle performance. By employing machine learning models, the system can predict thermal anomalies and adjust cooling efforts accordingly, thereby preventing overheating, improving battery life, and minimizing wear on the electric motor and power electronics. The proposed AI-based thermal management system combines predictive analytics, data-driven decision-making, and advanced cooling methodologies to ensure optimal thermal regulation under varying driving conditions. This paper provides a comprehensive overview of existing thermal management technologies in HEVs, identifies current challenges, and presents the AI-enhanced system as a cutting-edge solution for improving HEV efficiency and reliability. (shrink)

Hybrid Electric Vehicles (HEVs) have gained significant popularity due to their reduced environmental impact and fuel efficiency. However, the complex integration of electrical and mechanical systems in HEVs presents significant cooling challenges. A robust cooling system is essential to maintain optimal performance and extend the lifespan of powertrains and battery systems. This paper explores the development of an advanced cooling system designed specifically for HEV powertrains, leveraging modern technologies such as heat exchangers, liquid cooling, and smart thermal management (...) systems. The proposed system uses adaptive cooling mechanisms that adjust based on real-time vehicle operating conditions to maximize efficiency and reduce energy consumption. Additionally, machine learning algorithms are integrated into the cooling system for predictive maintenance, identifying potential issues before they arise. By optimizing thermal management, the system ensures higher efficiency, improved vehicle performance, and a longer life for HEV components. This paper presents an analysis of the current cooling technologies in HEVs, identifies gaps in their functionality, and proposes a novel cooling framework that addresses these limitations, making HEVs more viable for longterm sustainability and performance. (shrink)

Hybrid Electric Vehicles (HEVs) have gained significant popularity due to their reduced environmental impact and fuel efficiency. However, the complex integration of electrical and mechanical systems in HEVs presents significant cooling challenges. A robust cooling system is essential to maintain optimal performance and extend the lifespan of powertrains and battery systems. This paper explores the development of an advanced cooling system designed specifically for HEV powertrains, leveraging modern technologies such as heat exchangers, liquid cooling, and smart thermal management (...) systems. The proposed system uses adaptive cooling mechanisms that adjust based on real-time vehicle operating conditions to maximize efficiency and reduce energy consumption. Additionally, machine learning algorithms are integrated into the cooling system for predictive maintenance, identifying potential issues before they arise. By optimizing thermal management, the system ensures higher efficiency, improved vehicle performance, and a longer life for HEV components. This paper presents an analysis of the current cooling technologies in HEVs, identifies gaps in their functionality, and proposes a novel cooling framework that addresses these limitations, making HEVs more viable for long-term sustainability and performance. Keywords: Hybrid Electric Vehicle (HEV), Powertrain. (shrink)

With the rapid development of information technology, the electricity consumption of Internet Data Centers (IDCs) increases drastically, resulting in considerable carbon emissions that need to be reduced urgently. In addition to the introduction of Renewable Energy Sources (RES), the joint use of the spatial migration capacity of IDC workload and the temporal flexibility of the demand of Electric Vehicle Charging Stations (EVCSs) provides an important means to change the carbon footprint of the IDC. In this paper, a sustainability improvement (...) strategy for the IDC carbon emission reduction was developed by coordinating the spatial-temporal dispatch flexibilities of the IDC workload and the EVCS demand. Based on the Minkowski sum algorithm, a generalized flexible load model of the EVCSs, considering traffic flow and Road Impedance (RI) was formulated. The case studies show that the proposed method can effectively increase the renewable energy consumption, reduce the overall carbon emissions of multi-IDCs, reduce the energy cost of the DCO, and utilize the EV dispatching potential. Discussions are also provided on the relationship between workload processing time delay and the renewable energy consumption rate. (shrink)

As hybrid electric vehicles (HEVs) gain prominence in the automotive industry, managing the heat generated by their electric motors and batteries has become a critical challenge. The performance, safety, and longevity of HEV components, such as batteries and motors, are significantly affected by thermal conditions. This paper proposes a modular liquid cooling system designed to efficiently manage heat dissipation in hybrid electric vehicle motors and batteries. The system leverages advanced fluid dynamics and thermoelectric materials to achieve (...) optimal thermal control while maintaining energy efficiency. The modular design allows for flexibility, enabling the cooling system to be adapted for different configurations of electric motors and battery modules. This adaptability ensures that the cooling system can cater to various HEV architectures without extensive redesign. The liquid cooling system is composed of multiple channels that distribute coolant uniformly across the critical components, preventing hotspots and ensuring stable operating temperatures. The system is equipped with sensors and control units to monitor and regulate temperature levels in real time, enhancing system reliability. (shrink)

As hybrid electric vehicles (HEVs) continue to rise in popularity due to their potential to reduce carbon emissions and increase fuel efficiency, the efficient management of battery thermal behavior has become an essential concern. Batteries in HEVs experience substantial heat generation during operation, which can lead to performance degradation, shortened lifespan, and safety hazards such as thermal runaway. Traditional cooling methods, such as air or liquid cooling, often fail to provide sufficient heat dissipation, especially under high load conditions.

A comprehensive analysis of multi-phase heat exchangers is conducted, including experimental tests and computational fluid dynamics (CFD) simulations. The results demonstrate that the multi-phase system significantly improves the heat transfer performance, reducing the risk of overheating and maintaining the optimal operating temperature for HEV components. This, in turn, leads to increased reliability, extended component lifespan, and improved overall vehicle efficiency. In conclusion, the multi-phase heat exchanger offers a promising solution for overcoming the limitations of traditional cooling methods in HEVs, contributing (...) to safer and more reliable hybrid vehicles in the future. (shrink)

Hybrid Electric Vehicles (HEVs) are rapidly gaining popularity due to their potential to reduce greenhouse gas emissions and fuel consumption. However, the high-power density of HEV motors and batteries generates substantial heat during operation, which, if not effectively managed, can reduce system efficiency and shorten component lifespans. Efficient thermal management is critical for ensuring the optimal performance of HEV powertrains, specifically motors and batteries. Liquid cooling systems, with their superior heat transfer capabilities, have emerged as an effective solution (...) for managing the thermal loads in HEV systems. (shrink)

Abstract— As electric cars are environmentally friendly, their use will reduce air pollution. Electric pedicabs, which are designed to solve the transportation problems of people from electric vehicles designed for different purposes, are widely used in many cities, especially since they are a very effective means of transportation in the city. However, serious research is needed on increasing the performance of the electric rickshaws, especially their batteries. The most important factor that determines the vehicle's range (...) is the capacity of the vehicle's battery. In this study, it has been shown that it is possible to use battery for longer periods with some important changes by conducting a research on pedicab batteries. (shrink)

This project aims to control the speed and direction of a DC motor in four quadrants: clockwise, counterclockwise, forward braking, and reverse braking. An H-bridge motor drive IC is used to switch the motor’s polarity based on user inputs via four control switches. A slide switch enables alternative directional control. A 555 timer generates PWM pulses for speed regulation, while relays manage polarity changes and braking. In regenerative braking, the motor generates reverse Ftorque for instant stopping. The four-quadrant control is (...) achieved by varying the duty cycle of the PWM signal and switching polarity using the H-bridge IC. The paper provides an overview of DC motor operation, explaining key components and working principles. It discusses the importance of four-quadrant operation, including motoring (forward/reverse) and braking (regenerative/plugging). Various control strategies such as armature voltage control and field flux control are examined for their efficiency. Applications in electric vehicles, robotics, and industrial automation are explored, demonstrating the versatile use of DC motors in modern engineering. (shrink)

This project presents a dynamic wireless charging system for electric vehicles (EVs) with the Arduino Uno microcontroller as the main controller. The system features a transmitter (TX) coil embedded in roadway infrastructure and a receiver (RX) coil installed in the vehicle unit, enabling continuous charging while in motion. Energy is wirelessly transferred from the TX coil to the RX coil through electromagnetic induction. The Arduino Uno microcontroller serves as the central control unit, managing power transmission, monitoring charging status, (...) and regulating voltage levels. Integrated Internet of Things (IoT) sensors enable real-time data collection on charging parameters and battery health, enhancing efficiency and safety.. The system is achieves 67% efficiency level while providing safety, reliability, low maintenance and long product life. (shrink)

Hybrid Electric Vehicles (HEVs) are rapidly gaining traction as a sustainable alternative to conventional vehicles, thanks to their ability to reduce fuel consumption and lower emissions. However, HEVs generate a significant amount of heat during operation, particularly in the powertrain and battery systems, which can reduce efficiency and lead to component degradation. This paper proposes an Integrated Heat Recovery Cooling Mechanism (IHR-CM) for HEVs that combines conventional cooling systems with advanced heat recovery techniques. The mechanism uses thermoelectric (...) generators (TEGs) to capture waste heat from the engine, battery, and power electronics, converting it into usable energy for the vehicle’s auxiliary systems or battery recharging. Additionally, an AI-driven thermal management system is integrated into the IHR-CM to optimize cooling processes based on real-time driving conditions. This proactive cooling management reduces energy consumption and improves the overall thermal efficiency of HEVs. The proposed system is designed to extend the lifespan of critical components, improve vehicle efficiency, and reduce the overall energy demand on the battery. Through a comprehensive analysis of existing cooling systems and heat recovery technologies, this paper outlines how the IHR-CM can address the challenges associated with thermal management in HEVs, leading to enhanced performance and sustainability. (shrink)

This paper focuses on the novel and leading innovations and investments into the new energy technologies. Energy issues, including sustainability, energy security and energy dependency are probably one of the most crucial and critical issues that humanity must face at the moment. Recent global challenges, such as climate change and the rise of the “green” energy (represented by the increasing deployment of the renewable energy sources (RES)), as well as distributed energy generation and platform energy markets (e.g. peer-to-peer (P2P) markets (...) for electricity) that were made possible thanks to the rise of Internet, social networks and sharing economy, all create a demand for the new energy technologies. The leaders in energy innovations, such as Tesla are becoming the true trendsetters who are marking the way for the humankind to go forward.We provide an overview of the innovative energy technologies that might change the energy market as we know it and discuss their outcomes and possible implications. Moreover, we contemplate the changes that might be caused by the ongoing transition from the fossil fuels to RES. Our results might be of some interests to researchers and stakeholders dealing with energy economics and policy. (shrink)

The World’s Leading Research and Development Institutions and Companies -/- Introduction -/- Research and Development (R&D) is the backbone of global innovation, driving technological progress, economic growth, and scientific discoveries. Across the world, top institutions and corporations invest billions of dollars into R&D to push the boundaries of human knowledge and create groundbreaking technologies. This essay explores the most influential research institutions and companies shaping the future through their contributions in science, engineering, medicine, and technology. -/- The Role of Research (...) Institutions in Global Innovation -/- Research institutions play a crucial role in advancing fundamental and applied sciences. Many of these institutions are publicly funded universities and government research agencies that focus on a wide range of disciplines, from medicine and engineering to artificial intelligence and space exploration. -/- 1. Leading Research Institutions -/- Some of the most prestigious research institutions include: -/- National Institutes of Health (NIH) – USA: The primary agency of the U.S. government responsible for biomedical and public health research. -/- National Aeronautics and Space Administration (NASA) – USA: A global leader in aerospace and space exploration, NASA continues to innovate in space technology and planetary science. -/- Centre National de la Recherche Scientifique (CNRS) – France: The largest governmental research organization in France, covering all scientific disciplines. -/- Max Planck Society – Germany: A network of research institutes in Germany, known for excellence in science and technology. -/- Chinese Academy of Sciences (CAS) – China: China’s premier research institution focuses on science and technology innovation across various fields. -/- Harvard University – USA: Leads in biomedical research, social sciences, and humanities. -/- Massachusetts Institute of Technology (MIT) – USA: At the forefront of engineering, robotics, artificial intelligence, and quantum computing research. -/- Stanford University – USA: Known for its deep ties to Silicon Valley, Stanford plays a key role in tech innovation. -/- University of Oxford & University of Cambridge – UK: Both institutions are among the oldest and most respected in the world, conducting high-impact research in medicine, engineering, and the humanities. -/- Swiss Federal Institute of Technology Zurich (ETH Zurich) – Switzerland: Excels in engineering and natural sciences research. -/- University of Tokyo – Japan: Japan’s leading university, known for its research in science and technology. -/- California Institute of Technology (Caltech) – USA: A leader in space science and physics. -/- Imperial College London – UK: Specializes in engineering, medical, and business research. -/- University of Toronto – Canada: A top institution in AI, robotics, and engineering. -/- 2. Engineering and Technology Research Leaders -/- Engineering research institutions contribute to infrastructure, automation, and digital transformation. Some of the most prominent ones include: -/- University of California, Berkeley – USA: Known for its research in engineering, computer science, and environmental science. -/- University of Pennsylvania – USA: Invests in innovative engineering projects. -/- University of Michigan – USA: Known for technological advancements in multiple fields. -/- Swiss Federal Institute of Technology Lausanne (EPFL) – Switzerland: Excels in engineering and digital research. -/- Tsinghua University – China: A leader in AI, renewable energy, and industrial automation research. -/- The Role of Private Companies in Research and Development -/- Private corporations play a major role in R&D, investing heavily in emerging technologies, pharmaceuticals, consumer electronics, and industrial innovations. Many of the world’s biggest companies spend billions to maintain leadership in their respective fields. -/- 1. Leading Technology Companies in R&D -/- Amazon ($73.2B in R&D spending, 2022): Focuses on cloud computing, AI, logistics, and automation. -/- Alphabet (Google) ($39.5B in R&D, 2022): Invests in AI, quantum computing, and search algorithms. -/- Meta (Facebook) ($35.3B in R&D, 2022): Focuses on AI, VR, and the Metaverse. -/- Apple ($27.7B in R&D, 2022): Leads in consumer electronics and semiconductor technology. -/- Microsoft ($26.6B in R&D, 2022): Invests in AI, cloud computing, and software innovation. -/- 2. Engineering and Industrial Companies in R&D -/- Volkswagen ($19.88B in R&D, 2022): A leader in automotive engineering and electric vehicles. -/- Samsung ($19.29B in R&D, 2022): Develops advanced semiconductors and electronics. -/- Intel ($17.53B in R&D, 2022): Focuses on microprocessors and AI hardware. -/- Huawei ($24B in R&D, 2022): Leads in telecommunications and 5G development. -/- Siemens – Germany: A global leader in industrial automation, medical technology, and smart infrastructure. -/- Nokia – Finland: Focuses on telecommunications infrastructure and technology development. -/- Sony – Japan: Invests in consumer electronics, gaming, and entertainment technologies. -/- Boeing – USA: Develops aerospace technology, defense systems, and commercial aircraft innovations. -/- General Electric (GE) – USA: Focuses on energy, aviation, and industrial automation R&D. -/- 3. Pharmaceutical and Biotech Research Leaders -/- Roche ($14.72B in R&D, 2022): A leading pharmaceutical company specializing in diagnostics and biotech innovations. -/- Pfizer: Known for vaccine development, including the COVID-19 vaccine. -/- Moderna: A pioneer in mRNA technology for medical treatments. -/- Johnson & Johnson: Invests heavily in medical devices and pharmaceuticals. -/- Bristol-Myers Squibb – USA: Focuses on biopharmaceutical research, including immunology and oncology. -/- AstraZeneca – UK/Sweden: Invests in pharmaceutical research, particularly in oncology and cardiovascular diseases. -/- The Impact of R&D on Society and the Future -/- The advancements driven by R&D have a profound impact on global society. Some of the most significant areas of innovation include: -/- Healthcare: Research in biotechnology, gene therapy, and medical AI is revolutionizing healthcare, leading to personalized medicine and new treatments for previously incurable diseases. -/- Artificial Intelligence: AI research in institutions and companies is driving automation, machine learning, and deep learning applications. -/- Sustainable Energy: Engineering research is focusing on renewable energy, electric vehicles, and smart grid technologies to combat climate change. -/- Space Exploration: Organizations like NASA, SpaceX, and ESA are expanding human exploration beyond Earth. -/- Telecommunications: Companies like Huawei, Nokia, and Qualcomm are leading the development of 5G and future wireless communication technologies. -/- Automotive Industry: Electric vehicles, hydrogen fuel cells, and autonomous driving are key research areas for companies like Tesla, Volkswagen, and Toyota. -/- Conclusion -/- The world’s leading R&D institutions and companies are shaping the future through their groundbreaking work in science, engineering, medicine, and technology. Universities and research centers provide the foundation for discovery, while corporations drive commercial applications of these innovations. As investments in R&D continue to grow, humanity will witness even greater advancements in fields such as artificial intelligence, biotechnology, and space exploration, ultimately improving lives and pushing the boundaries of what is possible. -/- . (shrink)

Bài luận tóm lược ngắn các thông tin liên quan tới quan điểm kinh doanh, chính trị và môi trường xung quanh công nghiệp xe điện (EV) Mỹ, tỷ phú công nghệ số 1 thế giới Elon Musk, tổng thống Mỹ Joe Biden và yếu tố lợi ích chính trị, văn hóa doanh nghiệp.

The Concept of Power: Its Nature, Forms, and Impact -/- Introduction -/- Power is one of the most fundamental forces shaping human civilization, scientific progress, and personal development. It is present in every aspect of life—from the natural world to political structures, from economic systems to personal relationships. At its core, power is the ability to influence, control, or direct outcomes, whether through force, knowledge, persuasion, or other means. -/- However, power can be used in both constructive and destructive ways. (...) While ethical power leads to progress and justice, the misuse of power creates oppression, corruption, and societal imbalance. This essay explores different dimensions of power, including scientific, political, economic, and philosophical power, while also highlighting examples of the misuse of power and its consequences. -/- Forms of Power -/- 1. Physical and Scientific Power -/- In the scientific realm, power is defined as the rate at which work is done or energy is transferred. It is a measurable quantity, expressed in watts (W), and is essential in fields such as engineering, mechanics, and electricity. -/- For example, in mechanical engineering, a car engine generates power by converting fuel into kinetic energy, allowing the vehicle to move. Similarly, in renewable energy, solar panels convert sunlight into electrical power, demonstrating how natural forces can be harnessed for human use. -/- Misuse of Scientific Power: Nuclear Weapons -/- A key example of the misuse of scientific power is the development of nuclear weapons. The atomic bombings of Hiroshima and Nagasaki in 1945 demonstrated the destructive potential of scientific advancements when used irresponsibly. While nuclear energy can be a powerful source of clean electricity, its military application led to mass destruction, the loss of thousands of innocent lives, and long-term environmental and health consequences. -/- 2. Social and Political Power -/- Political power is the ability to influence governance, policies, and social structures. It exists at different levels, from small communities to global institutions. -/- Types of Political Power: -/- Legitimate power: Derived from laws and democratic institutions, such as the authority of an elected president or parliament. -/- Coercive power: Based on force, often seen in dictatorships or police states where compliance is ensured through fear. -/- Soft power: The ability to shape opinions and values through culture, diplomacy, and media, as seen in the global influence of Hollywood movies or international organizations like the United Nations. -/- Example of Proper Political Power Use: Nelson Mandela’s leadership in South Africa was an example of moral and legitimate power. Despite being imprisoned for 27 years, he led his country to end apartheid through reconciliation rather than revenge. -/- Misuse of Political Power: Dictatorships and Oppression -/- Example: Adolf Hitler (Nazi Germany) One of the most infamous examples of political power being used in the wrong way is Adolf Hitler’s regime in Nazi Germany. Hitler gained power through democratic means but later abolished freedoms, controlled information, and used propaganda to manipulate the masses. His leadership led to World War II, the Holocaust, and the deaths of millions of people. His misuse of political power resulted in genocide, war crimes, and long-term global instability. -/- Example: North Korea’s Authoritarian Rule In modern times, North Korea is an example of political power used to oppress rather than empower. The government, led by Kim Jong-un, controls every aspect of citizens’ lives, from their access to information to their ability to leave the country. The country’s resources are allocated to its military, while many citizens suffer from poverty and starvation. This is an example of power used to control people rather than improve their well-being. -/- 3. Psychological and Personal Power -/- Personal power is an individual’s ability to influence their own life and the lives of others. It can take many forms: -/- Inner power: Strength, resilience, and self-discipline, allowing people to overcome adversity. -/- Social power: Charisma, persuasion, and emotional intelligence that enable individuals to lead and inspire others. -/- Knowledge power: The ability to gain influence through education and expertise. -/- Example of Proper Personal Power Use: The philosopher Socrates possessed immense intellectual power. Even without political authority, his ideas shaped Western thought through questioning and critical thinking. Today, leaders and influencers continue to shape society using their intellectual power. -/- Misuse of Psychological Power: Manipulation and Propaganda -/- Example: Cult Leaders (Jim Jones and the Jonestown Massacre) Some individuals misuse personal power to manipulate others for selfish or destructive purposes. A tragic example is Jim Jones, the leader of the People’s Temple cult. He used psychological manipulation to gain total control over his followers, leading to the infamous Jonestown Massacre in 1978, where over 900 people died in a mass murder-suicide. -/- Example: Social Media Misinformation In today’s digital age, personal power is often misused on social media platforms. False information and propaganda are used to manipulate public opinion, often leading to social division, violence, and political unrest. -/- 4. Economic Power -/- Economic power refers to control over financial resources, industries, and markets. Those who control wealth often shape global and national policies, technological advancements, and even cultural trends. -/- Proper Use of Economic Power: -/- Corporate power: Companies like Amazon, Google, and Tesla wield significant economic power, influencing markets and technological innovation. -/- Wealth and capital: Billionaires such as Elon Musk and Jeff Bezos can impact industries like space travel and artificial intelligence through private investments. -/- Misuse of Economic Power: Corporate Greed and Exploitation -/- Example: The 2008 Financial Crisis The 2008 financial crisis was a result of large financial institutions misusing their economic power. Banks engaged in reckless lending, market manipulation, and financial fraud, leading to a global economic collapse. Millions of people lost their jobs, homes, and savings due to the greed and irresponsibility of a few. -/- Example: Sweatshops and Worker Exploitation Some multinational corporations use their economic power to exploit cheap labor in developing countries, forcing workers to endure low wages, unsafe conditions, and inhumane treatment. This misuse of power highlights the dark side of economic influence when profit is prioritized over ethics. -/- 5. Power in Nature and Universal Law -/- From the perspective of the universal law of balance in nature, power must be aligned with natural equilibrium to ensure sustainability and harmony. If power is used excessively or irresponsibly, it creates imbalances—whether in the environment, society, or personal well-being. -/- Misuse of Power in Nature: Environmental Destruction -/- Example: Climate Change and Industrial Pollution Human industrial activity has disrupted the natural balance of the planet. Deforestation, excessive carbon emissions, and overconsumption of natural resources have led to global warming, species extinction, and ecological collapse. This is an example of humanity misusing its power over nature without considering the consequences. -/- The Ethical Use of Power -/- Power itself is neither good nor bad—it depends on how it is used. Ethical power aligns with justice, wisdom, and balance, while unethical power leads to corruption and destruction. -/- Principles of Ethical Power Use: -/- 1. Responsibility: Those in power must act for the common good rather than personal gain. -/- 2. Transparency: Power should be exercised openly, with accountability to the people it affects. -/- 3. Balance: Power must be used in a way that sustains long-term harmony rather than creating instability. -/- Conclusion -/- Power is a complex and dynamic force that can lead to progress or destruction, depending on how it is used. History provides countless examples of both ethical and unethical power, showing that unchecked power leads to oppression, injustice, and suffering. -/- The universal law of balance in nature teaches that any misuse of power will eventually lead to consequences. Therefore, the wisest approach to power is to use it ethically, responsibly, and in alignment with natural equilibrium. -/- . (shrink)

Air is one of the five classical elements, which make all the creation. We can perceive air in the things it moves, be it leaves or hair. It is an invisible mixture of nitrogen, oxygen, and minute amounts of other gases surrounding the Earth. It is all around us. Yet, we cannot see it. Pure air has no odour. It has many uses. It provides a breath of life to all living beings. As, atmosphere, it prevents the excessive heat of (...) the Sun from reaching us. Oxygen, one of its constituents, supports combustion. Thereby it helps us to cook food, generate heat and electricity, run industries and drive vehicles. Its other two components, nitrogen and carbon dioxide, are essential for the growth of plants. Another beneficial constituent of air is Ozone, which in the form of the Ozone layer around our planet protects us from the adverse effects of the Sun's UV rays. Compressed air is used to fill tyres. Many machines and drills work on compressed air. Wind enables the movement of sailboats and gliders. It runs windmills to generate electricity and helps in the dispersal of seeds. Guru Arjan appreciating the priceless importance of air to all of us articulates [1-2]; He (Creator) gave you the invaluable air. (Mehl 5, SGGS, p 913). (shrink)

The overarching goal of this book is to differentiate and provide a highly detailed descriptive account of a specific class of arguments. To simplify, let us consider the following example: suppose one aims to persuade that “Julius Caesar was a criminal.” To support that claim various arguments may be formulated, such as: a) Joseph Stalin murdered his political opponents who openly opposed him, thus he was a criminal. Julius Caesar did the same. Therefore, if Stalin was a criminal, then Caesar (...) was also a criminal. b) Most historians studying the history of the Roman Empire consider Julius Caesar to be a criminal, so he was one. c) The majority of people believe Julius Caesar was a criminal, so he was one. d) Anyone who murders or orders the killing of others is a criminal—regardless of whether it’s in defense of the country or to maintain power. Julius Caesar issued orders resulting in thousands of deaths, so he was a criminal. Argumentation theory distinguishes and extensively describes different types of arguments, each with its own definition, argumentation scheme, subtypes, and criteria for evaluation. We may, therefore, identify that: example (a) employs the argument from analogy, (b) is an argument from authority (ad auctoritate), and (c) is an argument from popular opinion (ad populum). What about (d)? Is there a theory for such arguments? Argument in the example (d) establishes the meaning of “criminal” by extending it to those who lead troops into battle or kill in self-defense, and in this way, Caesar can also be included in the extension of a “criminal” (regardless of whether he committed genocide or simply won battles). Although there are many concepts in argumentation theory and informal logic that explain various aspect of such arguments (e.g., persuasive definitions and persuasive quasi-definitions, attributions, classification arguments, etc.) there is no theory for such arguments—or rather—there was no until now. This book is aimed to provide a concept, classification, and assessment criteria for arguments which fix the meaning to support persuasion—namely, semantic arguments. Semantic arguments manifest themselves as a common and very powerful means of persuasion in various areas of human activity, including political discourse, advertising, science, law, and philosophy. This can be illustrated through an analysis of some examples: e.g., the redefinition of “planet” proposed in 2008 to exclude Pluto from the scope of this concept, the redefinition of the term “wetland” put forward by G.W. Bush in 1988, modifications of the definition of “human being” in disputes about abortion, or the definition of “vehicle” in cases of accidents involving electric scooters. The book’s goal is to provide a model of semantic argument—differentiating arguments that fix meaning for persuasive purposes, providing definition and scheme, constructing a comprehensive classification, and developing assessment criteria. This broader aim also fills a gap in argumentation theory regarding our understanding of semantic arguments and their actual and potential applications. (shrink)

A Universal Formula for Creating a Perfect Society -/- A perfect society must follow the universal law of balance in nature, ensuring that all social, economic, technological, and environmental systems function in harmony. Your universal formula serves as the foundation for designing such a society, where population growth is properly regulated to maintain balance and sustainability. -/- I. The Core Principle: The Universal Law of Balance -/- A perfect society must: ✔ Align human actions with natural laws. ✔ Eliminate corruption, (...) exploitation, and inefficiency. ✔ Balance technological progress with environmental sustainability. ✔ Regulate population growth to match available resources and societal needs. -/- II. The Key Components of a Perfect Society -/- 1. Ideal Population Growth Rate and Regulation -/- A perfect society must have a regulated population growth that aligns with natural resource capacity, economic stability, and environmental sustainability. ✔ Overpopulation leads to resource depletion, poverty, and instability. ✔ Underpopulation leads to economic decline and labor shortages. ✔ The ideal population growth rate must be carefully calculated for each region based on its resource availability, technological advancement, and economic capacity. -/- Implementation: -/- Educate the public on population and resource balance. -/- Implement voluntary and ethical family planning programs. -/- Ensure economic and social policies are adjusted based on population data. -/- Use AI to analyze demographic trends and forecast future population needs. -/- Encourage balanced migration policies to stabilize population distribution. -/- 2. Holistic and Rational Education System -/- ✔ Teach the universal law of balance in education. ✔ Focus on critical thinking, ethics, sustainability, and science. ✔ Train leaders in ethical decision-making, governance, and problem-solving. -/- 3. Governance Rooted in Natural Laws -/- ✔ Data-driven, ethical, and transparent leadership. ✔ AI-assisted governance to prevent corruption and mismanagement. ✔ Scientific, evidence-based policymaking. -/- 4. Urban Planning for Sustainable Cities -/- ✔ Eco-friendly, well-planned cities with green spaces and clean energy. ✔ Smart infrastructure to reduce congestion and pollution. ✔ Affordable, energy-efficient housing for all. -/- 5. Balanced Transportation System -/- ✔ Mass public transit over personal vehicles. ✔ Electric and hydrogen-powered transport to reduce pollution. ✔ Bike-friendly and pedestrian-friendly cities. -/- 6. A Just and Sustainable Economic System -/- ✔ Balanced capitalism—free markets with strong ethical regulations. ✔ No extreme wealth gaps or monopolies. ✔ Fair wages, job security, and profit-sharing models. -/- 7. Energy Production Aligned with Natural Balance -/- ✔ Solar, wind, hydro, and nuclear fusion energy to eliminate fossil fuels. ✔ Decentralized renewable energy grids for reliability. ✔ Buildings, industries, and transportation designed for energy efficiency. -/- 8. Agriculture and Agribusiness for Food Security -/- ✔ Sustainable, regenerative farming practices to maintain soil fertility. ✔ Organic farming over chemical-intensive monoculture. ✔ AI-driven precision agriculture to maximize food production with minimal waste. -/- Implementation: -/- Urban farming and vertical agriculture to reduce land use. -/- Government subsidies for small farmers to prevent corporate monopolies. -/- Integration of agribusiness with clean energy sources. -/- 9. Technology Companies Serving Humanity -/- ✔ Ethical AI and automation that enhance human life. ✔ Tech companies must focus on sustainability, data privacy, and fairness. ✔ Public ownership of essential tech infrastructure (internet, AI governance, energy grids, etc.). -/- 10. Forest Conservation and Wildlife Protection -/- ✔ Strict anti-deforestation laws with mandatory reforestation. ✔ Protect wildlife corridors and endangered species. ✔ Regenerative land use practices to restore ecosystems. -/- 11. Protection of Seas, Oceans, and Rivers -/- ✔ Ban overfishing and destructive fishing methods. ✔ Regulate ocean mining and oil drilling. ✔ Prevent river and ocean pollution from industries and waste. -/- 12. Eliminating Pollution and Managing Waste -/- ✔ Zero-waste circular economy—recycling and reusing materials efficiently. ✔ Eliminate plastic waste and toxic chemicals in industries. ✔ Convert waste into renewable energy sources. -/- 13. Sustainable Water Resource Management -/- ✔ Protect fresh water from contamination and overuse. ✔ Desalination and rainwater harvesting in water-scarce areas. ✔ Efficient irrigation and water recycling in agriculture and industry. -/- 14. Job Creation and Economic Stability -/- ✔ Ensure that automation enhances jobs rather than eliminates them. ✔ Support entrepreneurship and small businesses. ✔ Guarantee fair wages and universal job security. -/- 15. Universal Healthcare System -/- ✔ Preventive medicine should be the priority. ✔ Universal healthcare with AI-driven diagnostics. ✔ Mental health services equal to physical health services. -/- 16. A Strong Social Safety Net -/- ✔ Unemployment benefits and food security. ✔ State-funded job training and skill development. ✔ Affordable housing and support systems for the homeless. -/- 17. Ethical Artificial Intelligence and Automation -/- ✔ AI must serve humanity, not corporate control. ✔ Prevent AI from being used for mass surveillance or manipulation. ✔ Ensure AI aligns with the universal law of balance. -/- 18. Justice System Based on Cause and Effect (Law of Karma) -/- ✔ Laws must be logical, fair, and corruption-free. ✔ Swift, evidence-based legal processes. ✔ Restorative justice rather than punitive imprisonment. -/- 19. Global Feedback Mechanism for Continuous Improvement -/- ✔ AI-assisted global balance monitoring. ✔ Digital democracy and blockchain voting for fair governance. ✔ Regular sustainability and ethics audits. -/- III. Conclusion: A Perfect Society Is Achievable -/- A perfect society follows the universal law of balance in all areas—economy, technology, environment, governance, and social systems. -/- By applying your universal formula, society can: ✔ Eliminate corruption, poverty, and injustice. ✔ Achieve sustainability without harming future generations. ✔ Use AI and technology responsibly for the betterment of all. ✔ Create a world where human potential is maximized, and suffering is minimized. -/- . (shrink)

In the last decade there has been an upsurge in the popularity of electric mountain bikes. However, opinion is divided regarding the implications of this emerging technology. Critics warn of the dangers they pose to landscapes, habitats, and ecological diversity, whilst advocates highlight their potential in increasing the accessibility of the outdoors for riders who would otherwise be socially and/or physically excluded. Drawing on interview data with 30 electric mountain bike users in England, this paper represents one of (...) the first attempts to empirically explore the experiential, ecological and socio-cultural implications of this activity. Utilising Stiegler’s (2013a) account of the pharmakon, in which technology is positioned as both remedy and poison, we suggest that the e-mountain bike’s role in the promotion of social and environmental responsibility is both complex and contradictory. Specifically, findings indicate that while this assistive technology can play a key role in facilitating deeper connections between riders as well as an ethic of care towards others, it can, at the same time, generate more individualised and automated experiences of recreational mobility in outdoor environments. (shrink)

While autonomous vehicles (AVs) are not designed to harm people, harming people is an inevitable by-product of their operation. How are AVs to deal ethically with situations where harming people is inevitable? Rather than focus on the much-discussed question of what choices AVs should make, we can also ask the much less discussed question of who gets to decide what AVs should do in such cases. Here there are two key options: AVs with a personal ethics setting (PES) or (...) an “ethical knob” that end users can control or AVs with a mandatory ethics setting (MES) that end users cannot control. Which option, a PES or an MES, is best and why? This chapter argues, by drawing on the choice architecture literature, in favor of a hybrid view that requires mandated default choice settings while allowing for limited end user control. (shrink)

This semiotic research looks into the vehicle of the process of semiosis, the force or the medium by which the existence of a sign is recognized, and the process of semiosis is carried out. This force, which has been termed as ‘mind’ or ‘quasi-mind’ (Peirce 4.536 and 4.551), ‘organism’ (Johansen 1999), ‘codemaker’ or ‘agent’ (Barbieri 2007, 2008) and ‘interpreter’ (Emmeche et al. 2010) can be “any organism or a part of an organism, or just a product whose mechanism allows or (...) is able to carry out the process of semiosis”. These terms are used with reference to the existence of different types and domains of semiosis. In other words, it is not the process of semiosis, but the vehicle of the process of semiosis which makes the existence of different types and domains of semiosis. (shrink)

This paper is a new defense of the view that visual hallucinations lack content. The claim is that visual hallucinations are illusory not because their content is nonveridical, but rather because they seem to represent when they fail to represent anything in the first place. What accounts for the phenomenal character of visual experiences is not the content itself (content-representationalism), but rather the vehicle of content (vehicle-representationalism), that is, not the properties represented by visual experience, but rather the relational properties (...) of experience (or of the brain) of representing singular contents, namely particular instantiations of properties. I argue that the Russellian particular-involving proposition is the only appropriate model for the representational content of visual experience and hence that visual hallucinations are just like failed demonstrations. (shrink)

The notion of representation in neuroscience has largely been predicated on localizing the components of computational processes that explain cognitive function. On this view, which I call “algorithmic homuncularism,” individual, spatially and temporally distinct parts of the brain serve as vehicles for distinct contents, and the causal relationships between them implement the transformations specified by an algorithm. This view has a widespread influence in philosophy and cognitive neuroscience, and has recently been ably articulated and defended by Shea. Still, I (...) am skeptical about algorithmic homuncularism, and I argue against it by focusing on recent methods for complex data analysis in systems neuroscience. I claim that analyses such as principle components analysis and linear discriminant analysis prevent individuating vehicles as algorithmic homuncularism recommends. Rather, each individual part contributes to a global state space, trajectories of which vary with important task parameters. I argue that, while homuncularism is false, this view still supports a kind of “vehicle realism,” and I apply this view to debates about the explanatory role of representation. (shrink)

The neural vehicles of mental representation play an explanatory role in cognitive psychology that their realizers do not. In this paper, I argue that the individuation of realizers as vehicles of representation restricts the sorts of explanations in which they can participate. I illustrate this with reference to Rupert’s (2011) claim that representational vehicles can play an explanatory role in psychology in virtue of their quantity or proportion. I propose that such quantity-based explanatory claims can apply only (...) to realizers and not to vehicles, in virtue of the particular causal role that vehicles play in psychological explanations. (shrink)

Building on Christopher Peacocke’s account of analog perceptual contentand my own account of analog perceptual vehicles, I defend three claims: that theperception of magnitudes often has analog contents; that the perception of magni-tudes often has analog vehicles; and that the first claim is true in virtue of the second—that is, the analog vehicles help to ground the analog contents.

Note: NI_nanoparticle nickel nanoparticles is a strong conductor of electric current and its surface is shiny and polished. This element belongs to the group of iron and cobalt elementsUsing particles from the microscale to the nanoscale provides benefits for various scientific fields, but because a large percentage of their atoms is on the surface, nanomaterials can be highly reactive and pose risks. have a potential for humans. Nanoparticles are of great interest due to their wide application, both in industry (...) and in the natural sciences. While natural materials have constant physical properties regardless of size, the size of a nanoparticle determines its physical and chemical properties. Therefore, the properties of a material change as its size approaches the nanoscale and the percentage of atoms on the surface of the material becomes significant. The important feature of all nano structures is that in which the number of surface atoms is more than the number of volume atoms. This ratio increases with decreasing nanoparticle size. Therefore, the size of the nanoparticle is considered its most important feature. The range of activity of nanoparticles depends on the nature and shape of the nanostructure. However, if the energy of the nanoparticle field is comparable to the energy of electromagnetic radiation and if in a certain range a wavelength with the occurrence of chemical reactions in materials Under irradiation, significant changes will be made in the activity of nanoparticles up to 100 nm in size. is the nanometer expected to be used for storage. Given the relatively large (physically speaking) storage devices we have now and the fact that we need gigabyte sizes in various areas, there is a high potential for activity in this There is a context. Each quantum dot consists of a discrete ball of several hundred atoms that can have one of two magnetic states. This allows them to contain a single bit of information (zero or one), as is customary in machine computing. In conventional hard disks, the data bits must be spaced far enough apart that they do not overlap. Quantum dots act as completely independent units that are not structurally connected, so they can become somewhat closer to each other. One of the new information storage tools is the use of nickel quantum dots in nanometer sizes, which are expected to be used to store terabytes of data. (shrink)

Accident occur as public do not follow the traffic rules, like not maintaining a proper braking distance between two vehicles, they also fail to follow the traffic signals when it is ‘RED’, also due to the fast life everyone is in a hurry of reaching the destination in time. In this paper, propose system implementing an IOT based Vehicle Tracking, Accident Detection, Accident Avoidance, Drunk Driver Detection and Fire Detection System. This system using Vibration sensor, Ultrasonic sensor, Alcohol Sensor, (...) Smoke Sensor, Web camera, GPS, Arduino Microcontroller, Android App. Our application focus on to providing them more convenience with vehicle safety. It provides Real-time vehicle location information also integrated Google Maps in the application. (shrink)

Despite widespread evidence that fictional models play an explanatory role in science, resistance remains to the idea that fictions can explain. A central source of this resistance is a particular view about what explanations are, namely, the ontic conception of explanation. According to the ontic conception, explanations just are the concrete entities in the world. I argue this conception is ultimately incoherent and that even a weaker version of the ontic conception fails. Fictional models can succeed in offering genuine explanations (...) by correctly capturing relevant patterns of counterfactual dependence and licensing correct inferences. Using the example of Newtonian force explanations of the tides, I show how, even in science, fiction can be a vehicle for truth. (shrink)

Neuroscience has studied deductive reasoning over the last 20 years under the assumption that deductive inferences are not only de jure but also de facto distinct from other forms of inference. The objective of this research is to verify if logically valid deductions leave any cerebral electrical trait that is distinct from the trait left by non-valid deductions. 23 subjects with an average age of 20.35 years were registered with MEG and placed into a two conditions paradigm (100 trials for (...) each condition) which each presented the exact same relational complexity (same variables and content) but had distinct logical complexity. Both conditions show the same electromagnetic components (P3, N4) in the early temporal window (250–525 ms) and P6 in the late temporal window (500–775 ms). The significant activity in both valid and invalid conditions is found in sensors from medial prefrontal regions, probably corresponding to the ACC or to the medial prefrontal cortex. The amplitude and intensity of valid deductions is significantly lower in both temporal windows (p = 0.0003). The reaction time was 54.37% slower in the valid condition. Validity leaves a minimal but measurable hypoactive electrical trait in brain processing. The minor electrical demand is attributable to the recursive and automatable character of valid deductions, suggesting a physical indicator of computational deductive properties. It is hypothesized that all valid deductions are recursive and hypoactive. (shrink)

The digital revolution, in the form of autonomous driving, is changing the very essence of mobility. This paper discusses four different ways in which these transformations are taking place and argues that public policies and business strategies need to focus on innovating and re-engineering (enveloping) whole environments. Only then will autonomous vehicles become an ordinary – and environmentally sustainable – reality. -/- .

Earth Hour is one of the most popular environmental events in Vietnam. However, looking at the rise in electricity consumption in the country, it is impossible to feel its impact.

In physics most phenomena in the microcosm have some kind of an explanatory description. But at the smallest scale size there exists no description of an underlying “tangible” explanatory structure. That is why the description of the origin of the electric charge is more or less lim­ited to a link to particles that carry the electric charge.

Abstract Introduction Logically valid deductive arguments are clear examples of abstract recursive computational proce‐ dures on propositions or on probabilities. However, it is not known if the cortical time‐consuming inferential pro‐ cesses in which logical arguments are eventually realized in the brain are in fact physically different from other kinds of inferential processes. Methods In order to determine whether an electrical EEG discernible pattern of logical deduction exists or not, a new experimental paradigm is proposed contrasting logically valid and invalid (...) inferences with exactly the same content (same premises and same relational variables) and distinct logical complexity (propositional truth‐functional operators). Electroencephalographic signals from 19 subjects (24.2 ± 3.3 years) were acquired in a two‐condition para‐ digm (100 trials for each condition). After the initial general analysis, a trial‐by‐trial approach in beta‐2 band allowed to uncover not only evoked but also phase asynchronous activity between trials. Results showed that (i) deductive inferences with the same content evoked the same response pattern in logically valid and invalid conditions, (ii) mean response time in logically valid inferences is 61.54% higher, (iii) logically valid inferences are subjected to an early (400 ms) and a late reprocessing (600 ms) verified by two distinct beta‐2 activa‐ tions (p‐value < 0,01, Wilcoxon signed rank test). Conclusion We found evidence of a subtle but measurable electrical trait of logical validity. Results put forward the hypothesis that some logically valid deductions are recursive or computational cortical events. Keywords Beta‐2 band, Evoked potentials, Induced potentials, Deductive inference, Logical validity, Cortical bases of logical reasoning. (shrink)

Autonomous vehicles (AVs) are expected to improve road traffic safety and save human lives. It is also expected that some AVs will encounter so-called dilemmatic situations, like choosing between saving two passengers by sacrificing one pedestrian or choosing between saving three pedestrians by sacrificing one passenger. These expectations fuel the extensive debate over the ethics settings of AVs: the way AVs should be programmed to act in dilemmatic situations and who should decide about the nature of this programming in (...) the first place. In the article, the ethics settings problem is analyzed as a trilemma between AVs with personal ethics setting (PES), AVs with mandatory ethics setting (MES) and AVs with no ethics settings (NES). It is argued that both PES and MES, by being programmed to choose one human life over the other, are bound to cause serious moral damage resulting from the violation of several principles central to deontology and utilitarianism. NES is defended as the only plausible solution to this trilemma, that is, as the solution that sufficiently minimizes the number of traffic fatalities without causing any comparable moral damage. (shrink)

The paper focuses on the part of the Coulomb’s Law that is just a definition and provides one possible mechanism for operationally defining electric charge based on the concept of force. Then a derivation of Coulomb’s law from the definition is presented and the sign of the charges are defined. Finally, the paper concludes with a discussion on the conservation of charge.

This paper aims to identify computerized management information systems resources and their relationship to the development of performance in the Electricity Distribution Company in Gaza. This research used two dimensions. The first dimension is computerized management information systems and the second dimension the Development of Performance. The control sample was (063). (360) questioners were distributed and (306) were retrieved back with a percentage of (85%). Several statistical tools were used for data analysis and hypotheses testing, including reliability correlation using Cronbach’s (...) alpha, “ANOVA”, Simple Linear Regression and Step Wise Regression. The overall findings of the current study suggested the presence of a statistically significant relationship between resources (physical, software, and human and organizational) for the computerized management information systems and the development of performance in the Electricity Distribution Company in Gaza. The study recommended the following: The need to strengthen the company's management interest in the potential of computerized management information systems and using them in the computerization of all the company's activities. And the need to involve workers and users in the design of computerized management information systems and assessment and development process. And strengthen the relationship between users and information systems personnel in the department responsible for the system. And it is essential that the company is developing the infrastructure for information technology in general, and computerized management information systems, in particular for the development of performance. And increase interest in providing resources (physical, software, and human and organizational) for the computerized management information systems. The current study is unique by the virtue of its nature, scope and way of implied investigation, as it is the first study at Electricity Distribution Company in Gaza resources explores the status of Computerized management information systems and their relationship to the development of performance in the Electricity Distribution Company in Gaza increasing interest in Computerized management information systems through continuity, keeping pace with technological means and modern techniques. (shrink)

The increase in number of vehicles on the road is being observed day by day, and the responsibilities that should be upheld by vehicle owners are frequently neglected. To ensure that the rules defined by the RTO are adhered to by every vehicle owner, the "Vehicle Surveillance System using deep learning" is proposed. This system is designed to capture vehicle data through web-app, with the identification of vehicles being achieved through the recognition of their number plates, and the (...) extraction of characters from the plates. Once the vehicle's number plate is recognized, the vehicle's information and owner's details will be verified with RTO data using Application programming interface (API). If any unfulfilled criteria are identified by the system, a notification will be generated. Vehicle detection is carried out using the Common Objects in Context Single Shot MultiBox Detection (COCOSSD) model, while the Russian model is utilized for number plate recognition. The extraction of characters from the number plate is executed through Optical Character Recognition (OCR), which includes character extraction and segmentation. (shrink)

This paper is my very first publication, please feel free to give me feedback and constructive criticism. I hope to be able to pitch into the discussion around the extension of mind and the philosophy of mind in general. It is my Bachelor's thesis, supervised and graded by a lecturer and assistant professor at the Munich Center for Mathematical Philosophy. Simply for their own privacy, I have censored their name from the publication. -/- Thank you for reading.

This book reports on theoretical and practical analyses of the ethical challenges connected to driving automation. It also aims at discussing issues that have arisen from the European Commission 2020 report “Ethics of Connected and Automated Vehicles. Recommendations on Road Safety, Privacy, Fairness, Explainability and Responsibility”. Gathering contributions by philosophers, social scientists, mechanical engineers, and UI designers, the book discusses key ethical concerns relating to responsibility and personal autonomy, privacy, safety, and cybersecurity, as well as explainability and human-machine interaction. (...) On the one hand, it examines these issues from a theoretical, normative point of view. On the other hand, it proposes practical strategies to face the most urgent ethical problems, showing how the integration of ethics and technology can be achieved through design practices. All in all, this book fosters a multidisciplinary approach where philosophy, ethics, and engineering are integrated, rather than just juxtaposed. It is meant to inform and inspire an audience of philosophers of technology, ethicists, engineers, developers, manufacturers, and regulators, among other interested readers. (shrink)

The moral importance of liability to harm has so far been ignored in the lively debate about what self-driving vehicles should be programmed to do when an accident is inevitable. But liability matters a great deal to just distribution of risk of harm. While morality sometimes requires simply minimizing relevant harms, this is not so when one party is liable to harm in virtue of voluntarily engaging in activity that foreseeably creates a risky situation, while having reasonable alternatives. On (...) plausible assumptions, merely choosing to use a self-driving vehicle typically gives rise to a degree of liability, so that such vehicles should be programmed to shift the risk from bystanders to users, other things being equal. Insofar vehicles cannot be programmed to take all the factors affecting liability into account, there is a pro tanto moral reason not to introduce them, or restrict their use. (shrink)

Vehicle externalists hold that the physical substrate of mental states can sometimes extend beyond the brain into the body and environment. In a particular variation on vehicle externalism, Susan Hurley (1998) and Alva Noë (2004) have argued that perceptual states, states with phenomenal qualities, are among the mental states that can sometimes spread beyond the brain. Their vehicle externalism about perceptual states will be the main topic of this article. In particular, I will address three strong objections to their vehicle (...) externalism, objections by Ned Block (2005), Jesse Prinz (2006), and Fred Adams & Ken Aizawa (2008). Though in some ways these objections appear disparate, I will argue that all of them depend on a crucial presupposition, one which Hurley, Noë, and their sympathizers should reject. This presupposition is that perceptual character is fixed by an instantaneous snapshot of neural states, a view that Hurley dubbed ‘temporal atomism.’ To put the presupposition in more familiar terms, all three objections are implicitly committed to something like Dennett’s Cartesian Theater (1991). -/- In the first part of the article, I will discuss Hurley and Noë’s views, and include reasons why their views entail the rejection of the Cartesian Theater. In the next part of the article I will introduce the three objections and show how they presuppose something like a Cartesian Theater. I will also show that, if the Cartesian Theater is rejected, the objections all vanish. In the final part of the article I address the charge that Noë and Hurley confuse causation with constitution. This charge reveals a lack of appreciation for the way in which dynamical explanation motivates Hurley’s externalism. (shrink)

The convergence of computing, sensing, and communication technology will soon permit large-scale deployment of self-driving vehicles. This will in turn permit a radical transformation of traffic control technology. This paper makes a case for the importance of addressing questions of social justice in this transformation, and sketches a preliminary framework for doing so. We explain how new forms of traffic control technology have potential implications for several dimensions of social justice, including safety, sustainability, privacy, efficiency, and equal access. Our (...) central focus is on efficiency and equal access as desiderata for traffic control design. We explain the limitations of conventional traffic control in meeting these desiderata, and sketch a preliminary vision for a next-generation traffic control tailored to address better the demands of social justice. One component of this vision is cooperative, hierarchically distributed self-organization among vehicles. Another component of this vision is a priority system enabling selection of priority levels by the user for each vehicle trip in the network, based on the supporting structure of non-monetary credits. (shrink)

Here, we continue the discussion in [1], about infinities in Physics. Our goal is to create a Mathematical system to give a probable explanation for infinities in QED, based on Fuzzy time. This Mathematical system should be sufficiently satisfactory and Simple. In general, our goal of these series, is to provide more reasons to consider time as a fuzzy concept in a way that is explained in [4], [5], [6].

The Vehicle Routing Problem (VRP) has been extensively studied by different researchers from all over the world in recent years. Multiple solutions have been proposed for different variations of the problem, such as Capacitive Vehicle Routing Problem (CVRP), Vehicle Routing Problem with Time Windows (VRP-TW), Vehicle Routing Problem with Pickup and Delivery (VRPPD), among others, all of them with deterministic times. In the last years, researchers have been interested in including in their different models the variations that travel times may (...) experience when exposed to all kind of phenomena, mainly vehicle traffic. This article addresses the VRP from this perspective, proposing the design and implementation of a genetic algorithm based on neutrosophic theory for calculating the fitness function of each route, considering the variability and uncertainty present in travel times. A deterministic genetic algorithm is also implemented with the average travel times to compare it with the neutrosophic algorithm using simulation. As conclusion, a deterministic algorithm does not necessarily generate the best solution in the real world, full of uncertainty. Also, the quantification of uncertainty using neutrosophic theory can be used in route planning, opening a broad and interesting field of research for future investigations. (shrink)

Automated vehicles promise much in the way of both economic boons and increased personal safety. For better or worse, the effects of automating personal vehicles will not be felt for some time. In contrast, the effects of automated work vehicles, like semi-trucks, will be felt much sooner—within the next decade. The costs and benefits of automation will not be distributed evenly; while most of us will be positively affected by the lower prices overall, those losing their livelihoods (...) to the automated semi-trucks and other similar work vehicles will be much worse off. This sets up a classic distributive justice problem: how do we balance the harms and benefits of automation? In this paper, the authors recommend work alternatives: policies that the government would enact in order to ensure that each person could live a decent life even if one could not work, especially for reasons like having one’s job automated. After arguing for this position, we propose some policy guidelines. (shrink)

This paper aims to identify computerized management information systems resources and their relationship to the development of performance in the Electricity Distribution Company in Gaza. This research used two dimensions. The first dimension is computerized management information systems and the second dimension the Development of Performance. The control sample was (063). (360) questioners were distributed and (306) were retrieved back with a percentage of (85%). Several statistical tools were used for data analysis and hypotheses testing, including reliability correlation using Cronbach’s (...) alpha, “ANOVA”, Simple Linear Regression and Step Wise Regression. The overall findings of the current study suggested the presence of a statistically significant relationship between resources (physical, software, and human and organizational) for the computerized management information systems and the development of performance in the Electricity Distribution Company in Gaza. The study recommended the following: The need to strengthen the company's management interest in the potential of computerized management information systems and using them in the computerization of all the company's activities. And the need to involve workers and users in the design of computerized management information systems and assessment and development process. And strengthen the relationship between users and information systems personnel in the department responsible for the system. And it is essential that the company is developing the infrastructure for information technology in general, and computerized management information systems, in particular for the development of performance. And increase interest in providing resources (physical, software, and human and organizational) for the computerized management information systems. The current study is unique by the virtue of its nature, scope and way of implied investigation, as it is the first study at Electricity Distribution Company in Gaza resources explores the status of Computerized management information systems and their relationship to the development of performance in the Electricity Distribution Company in Gaza increasing interest in Computerized management information systems through continuity, keeping pace with technological means and modern techniques. (shrink)

The research aims to identify the impact of the management requirements on operating of computerized management information systems to improve performance, and discuss the perceptions of respondents to develop the performance of employees in the Gaza Electricity Distribution Company, the researchers used the stratified sample method, (360) questionnaires were distributed on the study sample, (306) questionnaires were recoved with a percentage of (85%). The most important findings of the study: computerized MI have a positive impact on the development of performance (...) in the Gaza Electricity Distribution Company systems. The is statistical significance impact between “the physical, software supplies, human and organizational” requirements for the management and operation of computerized management information systems and performance development in the Gaza Electricity Distribution Company. -/- The research also concluded a series of recommendations: the need to strengthen the company's management interest in the use of computerized management information systems in all its components and elements of being an important variable which contributes to the effect on performance development. It's essential that we develop the infrastructure for information technology in general, and computerized management information systems, in particular for the development of performance. Increased interest in providing the material of equipment and devices used in the computerized management information system requirements. Interest in providing technical inputs to the computerized management information systems through keeping pace with technological means and modern techniques and work on the training of personnel to use those systems. And increased attention to human inputs of computerized management information systems "specialists technicians and end-users" through a variety of disciplines working in the field of computerized management information systems. (shrink)

Household electricity consumption rates are increasing globally. However, saving electricity can decrease energy use, avoid wastage, and save financial resources for households. Therefore, this study was conducted to determine how attitude influences electricity-saving behaviors among household users in Nsukka District, Enugu State, Nigeria. The study adopted a descriptive survey design. A research question with corresponding null hypotheses was formulated and tested at a 0.05 level of significance. Stratified random sampling was used to select 400 household users, consisting of 206 females (...) and 194 males. A structured questionnaire was used to collect information from the respondents. The questionnaire was validated by three experts and tested for reliability using the Cronbach alpha method. It contained respondents' personal data (biodata and demographics) and 28 items on attitudinal factors. The data obtained were analyzed to determine mean responses, and t-tests were used to test the null hypotheses at a 0.05 level of significance. The study found that gender does not influence the attitude of household users towards electricity-saving behaviors. It is recommended that government and non-government bodies organize training programs for household users of electricity to improve their attitude and promote more electricity-saving behaviors. (shrink)