This project aims to develop a robust system capable of predicting the prices of used cars based on various factors such as make, model, year, mileage, location, and condition. The rising demand for second-hand vehicles has led to the need for accurate pricing models, and this project utilizes machine learning techniques, particularly Artificial Neural Networks (ANNs), to address this challenge. The system is trained on a comprehensive dataset of used car listings, incorporating key features that impact car prices. Various machine (...) learning algorithms, including linear regression, decision trees, and random forest, are tested and compared to assess their predictive accuracy. However, the core model relies on ANNs for its ability to capture complex, non-linear relationships in the data. By utilizing deep learning, the model can learn intricate patterns and make more accurate predictions, especially in cases where traditional models might struggle. The evaluation of the system is performed using standard regression metrics such as Mean Squared Error (MSE) and R-squared to ensure its reliability and performance. This predictive model not only provides a valuable tool for both buyers and sellers in the used car market but also demonstrates the potential of artificial intelligence in making data-driven decisions in the automotive industry. (shrink)

This paper offers with the theoretical and computational evaluation of optimal& robust controlproblems, with the goal of providing answers to them with MATLAB simulation.For the robust control,  -synthesis controller and for the optimal control, LQR controller are designed for a quarter car active suspension system to maximize the ride comfort and road handling criteria’s of the vehicle. The proposed controllers are designed using Matlab script program using time domain analysis for the four road disturbances (bump, random sine pavement and (...) white noise) for the control targets suspension deflection, body acceleration and body travel. Finally the simulation result proves the effectiveness of the active suspension system with  -synthesis controller. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...) suitable for the evaluation of car acceptability forecasting, can also be extended to all other areas. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 (...) % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 (...) % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 (...) % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars. (shrink)

This paper affords the design and improvement of a semi-active suspension system for an automobile. The main idea is to increase the semi-active suspension system damping vibration of the automobile body even as crossing the bump and sine pavement on the road. This system is modelled for 1 / 4 car system after which the entire system has been simulated usingMat lab/Simulink. It is used to physically simulate the quarter vehicle system of the automobile and have a look at the (...) time domain response to the road disturbances.H infinity controllers is used to govern the damping properties of the semi-active suspension system mechanically. The system is designed in contrast to the most of the available suspension systems using a third order hydraulic actuator. The proposed system is compared with H2 optimal controller to test the performance of the system for the control targets suspension deflection, body acceleration and body travel for the bump and sine road disturbances. The simulation result of this studies reveal the efficiency of the advanced H∞controller for the quarter car semi-active suspension system. (shrink)

To improve road dealing with and passenger consolation of a vehicle, a suspension system is supplied. An active suspension system is taken into consideration better than the passive suspension system. In this paper, an active suspension system of a linear quarter vehicle is designed, that's issue to exclusive disturbances on the road. Since the parametric uncertainty within the spring, the shock absorber and the actuator has been taken into consideration, robust control is used. H∞ and µ-Synthesis controllers of are used (...) to improve using consolation and road dealing with potential of the vehicle, in addition to confirm the sturdy stability and overall performance of the system. In the H∞ design, we designed a driving force for passenger consolation and to preserve the deflection of the suspension small and to reduce the disturbance of the road to the deflection of the suspension. For the µ synthesis system, we designed a controller with hydraulic actuator and uncertainty model. We designed a MATLAB / SIMULINK model for the active suspension system with the H∞ and µ-synthesis controllers we tested the use of 4 road disturbance inputs (bump, random, sinusoidal pavement and slope) for deflection of the suspension, body acceleration and body travel for passive, active suspension with controller and active suspension without controller. Finally, we evaluate the H∞ and µ-synthesis controllers with a Simulink model for suspension deflection, body acceleration and body travel simulation, and the result suggests that both designs offer correct overall performance, however the H∞ controller has superior overall performance as compared to the µ-synthesis controller. (shrink)

In “Normativity and Epistemic Intuitions”, Weinberg, Nichols and Stich famously argue from empirical data that East Asians and Westerners have different intuitions about Gettier -style cases. We attempted to replicate their study about the Car case, but failed to detect a cross - cultural difference. Our study used the same methods and case taken verbatim, but sampled an East Asian population 2.5 times greater than NEI’s 23 participants. We found no evidence supporting the existence of cross - cultural difference about (...) the intuition concerning the Gettier car case. Taken together with the failures of both of the existing replication studies, our results provide strong evidence that the purported cross - cultural difference in Gettier intuitions does not exist. (shrink)

This paper examines the potential educational uses of chat-based large language models (LLMs), moving past initial hype and skepticism. Although LLM outputs often evoke fascination and resemble human writing, they are unpredictable and must be used with discernment. Several metaphors—like calculators, cars, and drunk tutors—highlight distinct models for student interactions with LLMs, which we explore in the paper. We suggest that LLMs hold a potential in students’ learning by fostering proleptic reasoning through scaffolding, i.e., presenting a technological accompaniment in anticipating (...) and responding to potential objections to arguments. Here, the technical limitations of LLMs can be reframed as beneficial when fostering anticipatory reasoning. Whether their outputs are accurate or not, evaluating them stimulates learning. LLMs require students to critically engage, emphasizing analytical thinking over mere memorization. This interaction helps solidify knowledge. Additionally, we explore how engaging with LLMs can prepare students for constructive collective discussions and provide first steps in addressing epistemic injustices by highlighting potential research blind spots. Thus, while acknowledging the sociopolitical and ethical complexities of using LLMs in education, we suggest that when used in an informed way, they can promote critical thinking through anticipatory reasoning. (shrink)

To improve the street managing and passenger comfort of a vehicle, a suspension system is furnished. An active suspension device is considered to be better than the passive suspension device. In this paper, 2 degree of freedom of an active suspension system of a linear vehicle are designed, that's challenge to oneof-a-kind disturbances on the road. Since the parametric uncertainty inside the spring, the shock absorber, the mass and the actuator has been taken into consideration, robust control is used. In (...) this paper, H∞ and µ-synthesis controllers are used to enhance using consolation and the capability to force the car on the road. For the analysis of the time domain, a MATLAB script software become used and a check with 4 road disturbance inputs (bump, random, sinusoidal and harmonic) became carried out for suspension deflection, body acceleration and travel of the body for the energetic suspension with the H∞ controller and the active suspension with the µ-synthesis controller and the comparative simulation and the reference consequences display the effectiveness of the active suspension system with the µ-synthesis controller. (shrink)

Recently, active suspension system will become important to the vehicle industries because of its advantages in improving road managing and ride comfort. This paper offers the development of mathematical modelling and design of a neural network control approach. The paper will begin with a mathematical model designing primarily based at the parameters of the active suspension system. A nonlinear three by four-way valve-piston hydraulic actuator became advanced which will make the suspension system under the active condition. Then, the model can (...) be analyzed thru MATLAB/Simulink software program. Finally, the NARMA-L2, model reference and predictive controllers are designed for the active suspension system. The results are acquired after designing the simulation of the quarter-car nonlinear active suspension system. From the simulation end result using MATLAB/Simulink, the response of the system might be as compared between the nonlinear active suspension system with NARMA-L2, model reference and predictive controllers. Besides that, the evaluation has been made between the proposed controllers thru the characteristics of the manage objectives suspension deflection, body acceleration and body travel of the active suspension system. . As a conclusion, designing a nonlinear active suspension system with a nonlinear hydraulic actuator for quarter car model has improved the car performance by using a NARMA-L2 controller. The improvements in performance will improve road handling and ride comfort performance of the active suspension system. (shrink)

There is a growing body of scholarship on the ethics of autonomous vehicles. Yet the ethical discourse has mostly been focusing on the behavior of the vehicle in accident scenarios. This paper offers a different ethical prism: the implications of the autonomous vehicle for human well-being. As such, it contributes to the growing discourse on the wider societal and moral implications of the autonomous vehicle. The paper is premised on the neo-Aristotelian approach which holds that as human beings, our well-being (...) depends on developing and exercising our innate human capacities: to know, understand, love, be sociable, imagine, create and use our bodies and use our willpower. To develop and exercise these capacities, our environments need to provide a range of opportunities which will trigger the development and exercise of the capacities. The main argument advanced in the paper is that one plausible future of the autonomous vehicle—a future of single-rider autonomous vehicles—may effectively reduce the opportunities to develop and exercise our capacities to know, be sociable and use our willpower. It will therefore be bad for human well-being, and this provides us with a moral reason to resist this plausible future and search for alternative ones. (shrink)

In the paper, the current state and trends of the use of AR technologies in the transport industry and in future specialists' vocational training processes have been reviewed and analyzed. The essence and content of the AR technologies relevant to the transport industry have been clarified. The main directions of the AR introduction for the various spheres of the transport industry including design and tuning, mechanical and automotive engineering, marketing and advertising, maintenance and operation, diagnostics and repair of cars have (...) been determined. The AR mobile apps market and the features of the mobile apps with AR have been outlined. The pedagogical terms of effective organizing the students' cognitive activity for transport industry via AR technologies have been determined and researched, namely: to provide each student with the position of an active actor of study and cognitive activity, to switch the study information in a mode of the project activity, the educational content professionalization and to teach students to use the modern ICT purposefully, to manage students' cognitive process by means of ICT. The methodology of using mobile apps with AR in students' vocational preparation process for the transport industry has been presented. It covers the system of educational tasks, updated content of lectures, practical and laboratory classes for specialized disciplines. (shrink)

Deep learning has shown significant performance in many domains including natural language processing, recommendation systems, and self-driving cars in current years. From all the available applications detecting anomalies is a key problem that has been studied within research domains. The purpose is to assists with recognizing individual actions and detecting whether it is an anomaly or normal activity. To address this challenge of a detection algorithm for action recognition the author has presented a 3dimesional convolutional neural network model to detect (...) real-time anomalies using drone surveillance. The initial stage of the model extract features from each person in the video and represents the data. Analysis of each extracted sequence to detect the associated actions is also proposed. Access dataset and UCF- Rooftop dataset was used for training and testing purposes. The results of this work revealed that the proposed 3dimensional convolutional neural network method provides more accurate anomaly detection achieving around 90%. (shrink)

Suspension system is used to fulfil the criteria of ride comfort and road handling. In this paper, a quarter car active & semi-active suspension systems are designed using Matlab/Script software. Comparison of active & semi-active suspension systems are done using robust control theory for the control targets suspension deflection, body acceleration and body travel. H infinity controller is selected to compare the two suspensions using time domain analysis. Finally the simulation result prove the effectiveness of the active suspension system by (...) decreasing the body acceleration & sustaining the suspension deflection and body travel outputs. (shrink)

Every year, the Vietnamese people reportedly burned about 50,000 tons of joss papers, which took the form of not only bank notes, but iPhones, cars, clothes, even housekeepers, in hope of pleasing the dead. The practice was mistakenly attributed to traditional Buddhist teachings but originated in fact from China, which most Vietnamese were not aware of. In other aspects of life, there were many similar examples of Vietnamese so ready and comfortable with adding new norms, values, and beliefs, even contradictory (...) ones, to their culture. This phenomenon, dubbed “cultural additivity”, prompted us to study the co-existence, interaction, and influences among core values and norms of the Three Teachings –Confucianism, Buddhism, and Taoism–as shown through Vietnamese folktales. By applying Bayesian logistic regression, we evaluated the possibility of whether the key message of a story was dominated by a religion (dependent variables), as affected by the appearance of values and anti-values pertaining to the Three Teachings in the story (independent variables). Our main findings included the existence of the cultural additivity of Confucian and Taoist values. More specifically, empirical results showed that the interaction or addition of the values of Taoism and Confucianism in folktales together helped predict whether the key message of a story was about Confucianism, β{VT ⋅ VC} = 0.86. Meanwhile, there was no such statistical tendency for Buddhism. The results lead to a number of important implications. First, this showed the dominance of Confucianism because the fact that Confucian and Taoist values appeared together in a story led to the story’s key message dominated by Confucianism. Thus, it presented the evidence of Confucian dominance and against liberal interpretations of the concept of the Common Roots of Three Religions (“tam giáo đồng nguyên”) as religious unification or unicity. Second, the concept of “cultural additivity” could help explain many interesting socio-cultural phenomena, namely the absence of religious intolerance and extremism in the Vietnamese society, outrageous cases of sophistry in education, the low productivity in creative endeavors like science and technology, the misleading branding strategy in business. We are aware that our results are only preliminary and more studies, both theoretical and empirical, must be carried out to give a full account of the explanatory reach of “cultural additivity”. (shrink)

The paper presents the content, as well as approaches to the use in the educational process of the author’s Electronic educational methodical complex (EEMC) “Construction of car”. The course is created for students of the speciality 015 Professional education (Transport, the operation and repairing of automobiles). Its content covers general topics including the study of a car engine, electrical equipment and automotive driveline. The created electronic course embraces, in addition to textual material, illustrations, dynamic models, instructions, manuals, textbooks, reference books (...) and glossaries, test material for each topic. Its possibilities of application during lectures, in the course of performing 15 laboratory works, organizing test control of knowledge, as well as for managing students’ independent study activities have been shown. Approaches to expert evaluation of the developed electronic study course by 11 criteria have been disclosed. The directions for further improvement of the content and methods of organizing the study and cognitive activity of students when using the course have been highlighted. These include the organization of level assimilation of the material, the creation of an individual educational trajectory of students. A rather high assessment of the developed author’s course received from experts allows it to be used in the system of vocational preparation specialists in the transport area of expertise. (shrink)

Recent years, active suspension system has been widely used in automobiles to improve the road holding ability and the riding comfort. This study presents a new fuzzy model predictive control for a nonlinear quarter car active suspension system. A nonlinear dynamical model of active suspension is established, where the nonlinear dynamical characteristic of the spring and damper are considered. Based on the proposed fuzzy model predictive control method is presented to stabilize the displacement of the active suspension in the presence (...) of different road profiles. Parameters of the model predictive and fuzzy logic control laws are designed to estimate the (Bump and Sinusoidal)road profile input in the active suspension. At last, the reliability of the fuzzy model predictive control method is evaluated by the MATLAB simulation tool. Simulation result shows that the fuzzy model predictive control method obtained the satisfactory control performance for the active suspension system. (shrink)

The transport sector is one of the largest sources of greenhouse gas emissions in New Zealand. To address this issue, the government is planning a set of actions to be implemented in the next 15 years. One of these actions deals with transport emissions and targets for a reduction in light vehicle travel. However, to achieve this goal, there is a need for both an updated assessment of effective interventions and an analysis of their relevance and applicability to the New (...) Zealand context. This report seeks to close the gap by conducting a narrative literature review of a collection of existing literature, supplemented with some targeted searches. With the focus on evidence relevant to New Zealand’s largest and fastest growing urban environments, the report identified 24 publicly available research outputs from around the world (mainly from Western European countries). The papers assessed differ not only in the type of research method and analysis applied but also the form of intervention (s) evaluated, the duration of the intervention and follow-up periods, the characteristics of the population groups or intervention sites studied, the measures, results and metrics relevant to New Zealand, and the outcomes of the interventions. Although these differences may represent a challenge in terms of comparability and transferability, they also provide opportunities and lessons for policy-and decision-makers. Finally, the report discusses the implications of the review and its findings and provides some directions and recommendations for future research, policy and practice for the measurement and evaluation of interventions. (shrink)

This study investigated the rhetorical move structure of the dental sciences research article abstract (RAA) genre using Swales’ (2004) model of move analysis, CARS (Create a Research Space), to find the frequency of rhetorical moves and steps in RAAs of the selected journals and also to examine the association between the frequency of moves and steps in the RAAs. To this end, 251 abstracts from articles published in 2018, 2019, and 2020 in four Iranian PubMed-indexed dentistry journals were selected and (...) examined. The frequencies were counted and compared using the Chi Square statistic. The findings revealed that all of the abstracts included M3S4 and M3S5, and all but only one, included M3S1. Yet, M3S2 and M3S7 had not been used in the abstracts whatsoever, and M1S3 had been employed only once. It was also found that the RAAs in the Journal of Dentistry and the Dental Research Journal used the steps considerably more frequently than the RAAs in the Journal of Dental Research and Frontiers in Dentistry. The findings of this study can provide EAP instructors with practical insights into the needs and wants of dental students, and also serve as a complement to the guidelines for academic writing for dental researchers to produce more received RAAs. (shrink)

Human relationships with cars are multifaceted and morally fraught. Cars serve multiple functions, and generate experiences characteristic of both fine art and everyday aesthetic experience – but they’re also the roots of dire eco-social ills. Recent theories tend to undermine the aesthetic aspects of human-automobile relationships in order to emphasize cars’ ethically problematic effects. But cars’ shameful consequences need not cancel out their beauty or their relevance to aesthetic theories. I suggest that David Hume’s aesthetic tenets demonstrate how and why (...) cars are beautiful, foregrounding considerations that automobile aesthetics can’t afford to ignore but that risk being obscured by cars’ positively and negatively charged status. For instance, Hume underscores rational choice as an element of aesthetic experience: we can choose how and when to experience cars’ beauty or ugliness. According to Hume, utility tends to inspire sentiments of beauty; and what is ethically good is most useful to humanity at large. But tension arises from this principle, as Hume finds that even socially harmful phenomena are yet aesthetically interesting. This provocative tension is at the heart of the aesthetic appreciation of cars, and is part of what makes such appreciation worthwhile. Hume paves the way to a realistic aesthetics of automobiles that can account for their problematic effects while refusing to downplay their aesthetic potential. This paper was presented at the 2011 Meeting of the American Society for Aesthetics in Tampa, Florida. (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)

One key aspect in the design of autonomous vehicles is the implementation of real-time object detection which includes identifying and classifying obstacles present in the environment of the vehicle . The system will also be able to capture live or recorded videos and accurately identify and classify the objects within the video streams in very active situations requiring low turnaround times so that the vehicle is able to make the necessary safe driving critical choices . more recent state of the (...) art deep learning frameworks that tackle the object detection problem are Region Based Convolutional Nural network R-CNN and its variants fast R-cnn and faster R-cnn more approximately Fixes models’ Execution Speed. Another object detection system presented in the year 2015 is known as the YOLO system which is focused on fast predictive capabilities and for use in motion pictures. BDD100K dataset for video based deep driving understanding in 100k videos and 10 tasks which are designed to assess how far the algorithm gets in its objective of Image Recognition in driverless cars. The dataset has geographical, environment and weather variability, which is beneficial for training models that have a high likelihood of encountering drastic changes. (shrink)

Moorean arguments are a popular and powerful way to engage highly revisionary philosophical views, such as nihilism about motion, time, truth, consciousness, causation, and various kinds of skepticism (e.g., external world, other minds, inductive, global). They take, as a premise, a highly plausible first-order claim (e.g., cars move, I ate breakfast before lunch, it’s true that some fish have gills) and conclude from it the falsity of the highly revisionary philosophical thesis. Moorean arguments can be used against nihilists in ethics (...) (error theorists), too. Recently, error theorists have recognized Moorean arguments as a powerful challenge and have tried to meet it. They’ve argued that moral Moorean premises seem highly credible to us, but aren’t, by offering various debunking explanations. These explanations all appeal to higher-order evidence—evidence of error in our reasoning. I argue that drawing attention to higher-order evidence is a welcome contribution from error theorists, but that the higher-order evidence actually counts further against error theoretic arguments—including their debunking explanations—and further in favor of Moorean arguments and the commonsense views they support. Along the way I answer a few prominent objections to Moorean arguments: that they are objectionably question-begging, rely on categorizing some facts as “Moorean Facts”, and that reports of one’s credence in a proposition bears no interesting relation to that proposition’s credibility. (shrink)

This paper proposes a conceptual framework for evaluating how social networking platforms fare as epistemic environments for human users. I begin by proposing a situated concept of epistemic agency as fundamental for evaluating epistemic environments. Next, I show that algorithmic personalisation of information makes social networking platforms problematic for users’ epistemic agency because these platforms do not allow users to adapt their behaviour sufficiently. Using the tracing principle inspired by the ethics of self-driving cars, I operationalise it here and identify (...) three requirements that automated epistemic environments need to fulfil: (a) the users need to be afforded a range of skilled actions; (b) users need to be sensitive to the possibility to use their skills; (c) the habits built when adapting to the platform should not undermine the user’s pre-existing skills. I then argue that these requirements are almost impossible to fulfil all at the same time on current SN platforms; yet nevertheless, we need to pay attention to these whenever we evaluate an epistemic environment with automatic features. Finally, as an illustration, I show how Twitter, a popular social networking platform, will fare regarding these requirements. (shrink)

Norm theory (Kahneman & Miller, 1986) described a tendency for people to associate stronger regret with a negative outcome when it is a result of an exception (abnormal behavior) compared to when it is a result of routine (normal behavior). In two pre-registered studies, we conducted a replication and extension of three classic experiments on past behavior exception/routine contrasts (N = 684). We successfully replicated Kahneman and Miller’s (1986) experiments with the classic hitchhiker-scenario (Part 1) and car accident-scenario (Part 2). (...) In both cases, participants examined negative outcomes and tended to indicate a protagonist who deviated from own past behavior as more regretful than another who followed routine. Pre-registered extensions also showed effects for ratings of social norms, negative affect, and perceived luck. We did not find support for the Miller and McFarland (1986) experiment robbery scenario (Part 3) using a compensation measure, in that compensation to a victim of a robbery was not significantly different comparing exceptional and routine circumstances. However, a pre-registered extension showed that robbery under exceptional circumstances was regretted more than robbery under routine circumstances. We discuss implications for current and future research. (shrink)

The wide variety of blame presents two difficult puzzles. Why are instances of blame categorized under so many different mental kinds, such as judgment, belief, emotion, action, intention, desire, and combinations of these? Why is “blame” used to describe both interpersonal reactions and mere causal attributions, such as blaming faulty brakes for a car crash? I introduce a new conception of blame, on which blame is attention to something as a source of badness. I argue that this view resolves both (...) puzzles and offers an independently appealing conception of blame. (shrink)

In our daily lives, as in science and in all other domains, we encounter huge numbers of dispositions (tendencies, potentials, powers) which are realized in processes such as sneezing, sweating, shedding, melting. Among this plethora of what we can think of as ‘mere dispositions’ is a subset of dispositions in whose realizations we have an interest – a car responding well when driven on ice, a rabbit’s lungs responding well when it is chased by a wolf, and so on. We (...) call the latter ‘capabilities’ and we attempt to provide an ontological account of what capabilities are that is of sufficient generality to serve a variety of purposes, for example by providing a useful extension to ontology-based research in areas where capabilities data are being collected in siloed fashion. (shrink)

Experiences of embodied remembering are familiar and diverse. We settle bodily into familiar chairs or find our way easily round familiar rooms. We inhabit our own kitchens or cars or workspaces effectively and comfortably, and feel disrupted when our habitual and accustomed objects or technologies change or break or are not available. Hearing a particular song can viscerally bring back either one conversation long ago, or just the urge to dance. Some people explicitly use their bodies to record, store, or (...) cue memories. Others can move skilfully, without stopping to think, in complex and changing environments thanks to the cumulative expertise accrued in their history of fighting fires, or dancing, or playing hockey. The forms of memory involved in these cases may be distinct, operating at different timescales and levels, and by way of different mechanisms and media, but they often cooperate in the many contexts of our practices of remembering. (shrink)

This article illustrates in which sense genetic determinism is still part of the contemporary interactionist consensus in medicine. Three dimensions of this consensus are discussed: kinds of causes, a continuum of traits ranging from monogenetic diseases to car accidents, and different kinds of determination due to different norms of reaction. On this basis, this article explicates in which sense the interactionist consensus presupposes the innate?acquired distinction. After a descriptive Part 1, Part 2 reviews why the innate?acquired distinction is under attack (...) in contemporary philosophy of biology. Three arguments are then presented to provide a limited and pragmatic defense of the distinction: an epistemic, a conceptual, and a historical argument. If interpreted in a certain manner, and if the pragmatic goals of prevention and treatment (ideally specifying what medicine and health care is all about) are taken into account, then the innate?acquired distinction can be a useful epistemic tool. It can help, first, to understand that genetic determination does not mean fatalism, and, second, to maintain a system of checks and balances in the continuing nature?nurture debates. (shrink)

Experiences of embodied remembering are familiar and diverse. We settle bodily into familiar chairs or find our way easily round familiar rooms. We inhabit our own kitchens or cars or workspaces effectively and comfortably, and feel disrupted when our habitual and accustomed objects or technologies change or break or are not available. Hearing a particular song can viscerally bring back either one conversation long ago, or just the urge to dance. Some people explicitly use their bodies to record, store, or (...) cue memories. Others can move skilfully, without stopping to think, in complex and changing environments thanks to the cumulative expertise accrued in their history of fighting fires, or dancing, or playing hockey. The forms of memory involved in these cases may be distinct, operating at different timescales and levels, and by way of different mechanisms and media, but they often cooperate in the many contexts of our practices of remembering. (shrink)

Artificial intelligence and robotics is pervasive in daily life and set to expand to new levels potentially replacing human decision-making and action. Self-driving cars, home and healthcare robots, and autonomous weapons are some examples. A distinction appears to be emerging between potentially benevolent civilian uses of the technology (eg unmanned aerial vehicles delivering medicines), and potentially malevolent military uses (eg lethal autonomous weapons killing human com- batants). Machine-mediated human interaction challenges the philosophical basis of human existence and ethical conduct. Aside (...) from technical challenges of ensuring ethical conduct in artificial intelligence and robotics, there are moral questions about the desirability of replacing human functions and the human mind with such technology. How will artificial intelligence and robotics engage in moral reasoning in order to act ethically? Is there a need for a new set of moral rules? What happens to human interaction when it is mediated by technology? Should such technology be used to end human life? Who bears responsibility for wrongdoing or harmful conduct by artificial intelligence and robotics? -/- Whilst Kant may be familiar to international lawyers for setting restraints on the use of force and rules for perpetual peace, his foundational work on ethics provides an inclusive moral philosophy for assessing ethical conduct of individuals and states and, thus, is relevant to discussions on the use and development of artificial intelligence and robotics. His philosophy is inclusive because it incorporates justifications for morals and legitimate responses to immoral conduct, and applies to all human agents irrespective of whether they are wrongdoers, unlawful combatants, or unjust enemies. Humans are at the centre of rational thinking, action, and norm-creation so that the rationale for restraints on methods and means of warfare, for example, is based on preserving human dignity as well as ensuring conditions for perpetual peace among states. Unlike utilitarian arguments which favour use of autonomous weapons on the basis of cost-benefit reasoning or the potential to save lives, Kantian ethics establish non-consequentialist and deontological rules which are good in themselves to follow and not dependent on expediency or achieving a greater public good. -/- Kantian ethics make two distinct contributions to the debate. First, they provide a human-centric ethical framework whereby human exist- ence and capacity are at the centre of a norm-creating moral philosophy guiding our understanding of moral conduct. Second, the ultimate aim of Kantian ethics is practical philosophy that is relevant and applicable to achieving moral conduct. -/- I will seek to address the moral questions outlined above by exploring how core elements of Kantian ethics relate to use of artificial intelli- gence and robotics in the civilian and military spheres. Section 2 sets out and examines core elements of Kantian ethics: the categorical imperative; autonomy of the will; rational beings and rational thinking capacity; and human dignity and humanity as an end in itself. Sections 3-7 consider how these core elements apply to artificial intelligence and robotics with discussion of fully autonomous and human-machine rule-generating approaches; types of moral reasoning; the difference be- tween ‘human will’ and ‘machine will’; and respecting human dignity. (shrink)

Abstract: Economists are accustomed to distinguishing between a positive and a normative component of their work, a distinction that is peculiar to their field, having no exact counterpart in the other social sciences. The distinction has substantially changed over time, and the different ways of understanding it today are reflective of its history. Our objective is to trace the origins and initial forms of the distinction, from the English classical political economy of the first half of the 19th century to (...) the emergence of welfare economics in the first half of the 20th century. This sequential account will also serve to identify the main representative positions along with the arguments used to support them, and it thus prepares the ground for a discussion that will be less historical and more strictly conceptual. -/- Résumé : Les économistes ont coutume de distinguer entre une composante positive et une composante normative de leurs travaux, ce qui est une singularité de leur discipline, car cette distinction n'a pas de répondant exact dans les autres sciences sociales. Elle a fortement évolué au cours du temps et les différentes manières de la concevoir aujourd'hui en reflètent l'histoire. On se propose ici d'en retracer les origines et les premières formes, de l'économie politique classique anglaise de la première moitié du XIXe siècle jusqu'à l'apparition de l'économie du bien-être dans la première moitié du XXe siècle. Ce parcours séquentiel vise aussi à identifier les positions les plus représentatives et les arguments invoqués pour les soutenir, en préparant ainsi une discussion qui serait moins historique et plus strictement conceptuelle. (shrink)

What is the ontology of collective action? I have in mind three connected questions. 1. Do the truth conditions of action sentences about groups require there to be group agents over and above individual agents? 2. Is there a difference, in this connection, between action sentences about informal groups that use plural noun phrases, such as ‘We pushed the car’ and ‘The women left the party early’, and action sentences about formal or institutional groups that use singular noun phrases, such (...) as ‘The United States declared war on Japan on December 8th, 1941’ and ‘The Supreme Court ruled that segregation is unconstitutional in 1954 in Brown vs. Board of Education’? 3. Under what conditions does it make sense to speak of a group doing something together, and what, if anything, is a collective action? In this paper, I argue that a) understanding action sentences about groups does not commit us to the existence of group agents per se, but only to the existence of individual agents; b) there is no difference in this regard between sentences which attribute actions to informal groups on the one hand and institutional groups on the other; c) collective action can be both intentional and unintentional; d) any random group of agents each of whom does something is also a group which does something together; e) while there is a sense in which groups per se perform no primitive collective actions, and therefore no actions at all, f) there is a sensible extension of talk of actions to groups, though it should be treated strictly speaking, like talk of group agents, as a façon de parler, for g) the only agents per se are individuals and the only actions are theirs. -/-. (shrink)

The technology known as artificial intelligence (AI) has become a game-changer, capable of completely altering a number of facets of civilization. But as AI grows more and more common, significant ethical questions arise that need to be answered. An overview of the main ethical issues surrounding artificial intelligence (AI) is given in this abstract, emphasizing the necessity of developing, implementing, and governing AI systems responsibly. First, fairness, accountability, and openness are the main ethical concerns surrounding AI. Inadvertent bias perpetuation in (...) training data by AI systems can result in unfair hiring, lending, and criminal justice outcomes. Careful design, objective data gathering, and ongoing monitoring to minimize and correct any potential biases are necessary to ensure fairness in AI systems. Second, two essential components of ethical AI are explainability and transparency. Understanding the reasoning behind the decisions made by some AI models is difficult due to their lack of interpretability, especially in high-stakes industries like healthcare and driverless cars. Establishing systems to offer defenses and explanations for AI results is crucial to fostering responsibility and confidence. Thirdly, data security and privacy are issues that AI brings up. AI systems frequently rely on enormous volumes of personal data, therefore their use needs to respect people's autonomy and adhere to privacy laws. To solve these ethical issues, it is essential to protect data from illegal access, obtain informed consent, and put strong security measures in place. Fourth, it's important to closely consider how AI will affect employment and socioeconomic inequality. AI has the potential to increase productivity and open up new opportunities, but it also has the potential to worsen already-existing inequality and cause job displacement. In order to mitigate the possible negative effects, ethical concerns call for developing inclusive economic policies, supporting retraining programs, and making sure that impacted workers have a fair transition. Furthermore, making ethical decisions is necessary when using AI in delicate fields like criminal justice, healthcare, and warfare. Artificial intelligence need to supplement human talents rather than supplant human discernment, and it ought to consistently take moral and ethical factors into account when making consequential decisions. Last but not least, a variety of stakeholders, including developers, legislators, and the general public, are accountable for ethical AI. Establishing ethical standards, codes of conduct, and regulatory frameworks that control the creation, use, and use of AI technology requires cooperation and interdisciplinary methods. (shrink)

All ordinary decisions involve some risk. If I go outside for a walk, I may trip and injure myself. But if I don’t go for a walk, I slightly increase my chances of cardiovascular disease. Typically, we disregard most small risks. When, for practical purposes, is it appropriate for one to ignore risk? This issue looms large because many activities performed by those in wealthy societies, such as driving a car, in some way risk contributing to climate harms. Are these (...) activities morally appropriate? -/- In this paper, I first summarize and respond to some arguments that purport to show that it is appropriate to ignore or discount very small risks. I argue that because our rationality is bounded, it is impossible for us to include every small risk in our decision-making process, and so we may reasonably use heuristics to guide many decisions. However, contrary to some thinkers, I argue that this does not violate the spirit of expected value theory; it merely shows that we should adopt a so-called "two-level" view. Our use of heuristics allows for the reasonable ignoring of some risks, and this perhaps explains why one might be inclined to think that individual climate-related risks are negligible. However, virtually all greenhouse-gas emitting activities in fact have some climate risk on the negative side of the ledger, and the use of heuristics does not permit the general ignoring of climate-change-related risk by individuals on grounds of expediency of judgment and decision-making. (shrink)

Artificial Intelligence (AI) is a technology that enables machines or computer systems to perform tasks that usually require human intelligence. AI systems can understand and interpret information, make decisions, and solve problems based on patterns and data. They can also improve their performance over time by learning from their experiences. AI is used in various applications, such as enhancing knowledge and understanding, helping as voice assistants, aiding in image recognition, facilitating self-driving cars, and helping diagnose diseases. The appropriate usage of (...) AI can help in the promotion of Sikhism. However, awareness of the pitfalls of using AI for religious purposes is essential. So, we must use AI with caution in spiritual matters. (shrink)

The advent and widespread adoption of modern technology has impacted our society in a significant and ubiquitous manner. I argue that our dependence on modern technology, specifically, has prompted a loss of human autonomy that corresponds directly to its advancement. I argue that this anti-reciprocal phenomenon is self-instituted. In this sense, autonomy is not lost like ones wallet or car keys, but rather handed over to modern technology in exchange for the streamlined processes and conveniences it promises. -/- I arrive (...) at this conclusion through exploring the research and findings of other thinkers situated in the field of philosophy of technology and the analyses made by other contemporary authors. I also provide my own analysis incorporating relevant phenomena that serve to validate and solidify my arguments. -/- For as much talk of technology that comes part and parcel with a work of this nature, I suggest something quite divergent from its leading critics. It is true that modern technology impacts nearly every aspect of our lives today, and in many ways, its influence defines the very way we have evolved as a society. In its use, there can be seen a wide spectrum of advocacy from philia to phobia and everything between. Yet, I recognize that the one common factor in the invention, adoption, advancement, and widespread utilization of modern technology is a human inventor, adopter, advancer, and end user. It is my contention that the blame can rest not in a thing for the phenomenon of human dependence and loss of autonomy. To truly understand the way modern technology affects us, we must look upon ourselves. (shrink)

Hobbs (2010) introduced ‘clause-internal coherence’ (CIC) to describe inferences in, e.g., ‘A jogger was hit by a car,’ where the jogging is understood to have led to the car-hitting. Cohen & Kehler (2021) argue that well-known pragmatic tools cannot account for CIC, motivating an enrichment account familiar from discourse coherence research. An outstanding question is how to compositionally derive CIC from coherence relations. This paper takes strides in answering this question. It first provides experimental support for the existence of CIC (...) via offline evidence that attributive (non-)deverbal adjectives can trigger the same causal inferences within clauses that their predicative counterparts can trigger across clauses, albeit more weakly. To explain the experimental results, we use tools in Segmented Discourse Representation Theory (SDRT), which allows us to show that causal inferences can be derived in various ways, depending on whether deverbal adjectives are used attributively or predicatively. If the former, they are presupposition triggers and the coherence relations Elaboration/Continuation compete with Background; if the latter, Explanation/Result compete with Background. These different competitions -- cashed out in terms of interaction between default axioms -- correlate with the difference in the relative salience of the causal inferences. (shrink)

Whether we ought to trust the testimony of another person is often thought to primarily depend on features like their evidence, knowledge, or level of expertise. No doubt these are epistemically relevant features. However, a recent paper by Justin P. McBrayer (2024) convincingly argues that a testifier's interests may be more important than their expertise when it comes to how we should allocate our epistemic trust in them. Just think of the proverbial used car salesman. You should not trust what (...) he tells you, and realizing that he is an expert only seems to make things worse. In this reply, I consider McBrayer’s basic insight, constructively criticize his view, and tentatively explore further territory. (shrink)

In the last year or so (and going back many decades) there has been extensive claims by major computational scientists, engineers, and others that AGI (artificial general intelligence) is 5 or 10 years away, but without a scintilla of scientific evidence, for a broad body of these claims: Computers will become conscious, have a “theory of mind,” think and reason, will become more intelligent than humans, and so on. But the claims are science fiction, not science. -/- This article reviews (...) evidence for the following three (3) propositions using extensive body of scientific research and related sources from the cognitive and neurosciences; evolutionary evidence; linguistics; data science; comparative psychology; self-driving cars, and robotics; and the learning sciences. (1) Do computing machines think or reason? (2) Are computing machines sentient or conscious? (3) Do computing machines have a theory of mind? (shrink)

The main objective of this project is to improve an existing real-time vehicle tracking system by improving its control circuit with GPS and a microcontroller. It uses GPS technology to track the vehicle location; the position data of the vehicle is updated in a real-time manner so that monitoring is done effectively. also features remind that can be set to alert when entering or leaving a chosen virtual perimeter of the car. The purpose of the project is to offer the (...) consumer an accurate and inexpensive solution of vehicle tracking that allows to determine location, perform geofencing, and be used for security or planning, both for commercial fleets and individuals. (shrink)

Research in multi-agent systems typically assumes a regulative model of social practice. This model starts with agents who are already capable of acting autonomously to further their individual ends. A social practice, according to this view, is a way of achieving coordination between multiple agents by restricting the set of actions available. For example, in a world containing cars but no driving regulations, agents are free to drive on either side of the road. To prevent collisions, we introduce driving regulations, (...) insisting that everyone drives on the left hand side of the road. We accept this limitation on our freedom because it lowers the probability of a collision. -/- This paper describes AI systems that are based on the constitutive view of social practice. According to this alternative view, there are certain actions that are only available to the agent because he is participating in a practice of a certain sort. For example, you can swing a peculiarly shaped piece of wood without participating in any particular practice - but this action will only constitute a strike if you are participating in a game of baseball. I can raise my hand whenever I like, but this only counts as voting for the motion within the institution of voting. But not all the examples are from frivolous, optional or institutional activities. Sellars and Brandom argue that even the fundamental act of assertion is only possible within the context of a particular social practice: the Game of Giving and Asking for Reasons. -/- The constitutive view, which is familiar to philosophers, is relatively unknown within the AI community. -/- The central aim of this paper is to show how the constitutive view of practice can be put to use in AI applications. (shrink)

The automotive door system's weather-strip seals play a crucial role in determining the degree of door closure, sealing the passenger cabin from water, and reducing wind noise inside the vehicle. Wrinkles often occur when installing weather-strips on door surfaces with bent or twisted profiles, affecting both the closure tightness and the noise insulation properties of the car door system. This study characterizes the wrinkling of Ethylene Propylene Diene Monomer (EPDM) automotive weather-strip seals during bending and identifies critical conditions for wrinkle (...) formation. The hyper elastic behaviour of the seal's EPDM sponge and dense EPDM rubber was modeled using the Foam and Mooney-Rivlin models, respectively. A Finite Element Analysis (FEA) model of the automotive weather strip seal was then developed and analysed using the linear FEA software Abaqus to determine the deformation and thickness reduction in areas prone to wrinkling. Finally, the critical criteria for wrinkle formation were determined through reaction force analysis in these areas. The proposed analytical method significantly reduces the product design cycle and cuts down on design and prototype costs. (shrink)

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)

Abstract: The intelligent embedded agricultural robotic system is a low cost and efficient microcontroller robot which include; A soil moisture monitoring system which monitors the moisture content of the soil in the various parts of the field and the measured data to a microcontroller unit which in turn displays the received data on a Liquid Crystal Display to determine when to irrigate or spray the farm field. An automatic car, which follows a path designed in the field, i.e., a white (...) line on a black surface integrated with a spraying and irrigating mechanism for carrying out agricultural spray and irrigation. An automatic solar tracking system that tracks the sun’s position for maximum light intensity was used to charge the DC 12V battery which was used to power to the robotic system. A refilling system with obstacle detection feature was used for refilling water, chemical or fertilizer spray in the spraying and irrigating tank integrated with the line follower robotic system. This embedded system is useful for farmers who wish to monitor the soil moisture content of the field, and automate spraying and irrigation purposes at low costs and higher efficiency. (shrink)

The automotive door system's weather-strip seals play a crucial role in determining the degree of door closure, sealing the passenger cabin from water, and reducing wind noise inside the vehicle. Wrinkles often occur when installing weather-strips on door surfaces with bent or twisted profiles, affecting both the closure tightness and the noise insulation properties of the car door system. This study characterizes the wrinkling of Ethylene Propylene Diene Monomer (EPDM) automotive weather-strip seals during bending and identifies critical conditions for wrinkle (...) formation. The hyper elastic behaviour of the seal's EPDM sponge and dense EPDM rubber was modeled using the Foam and Mooney-Rivlin models, respectively. A Finite Element Analysis (FEA) model of the automotive weather strip seal was then developed and analysed using the linear FEA software Abaqus to determine the deformation and thickness reduction in areas prone to wrinkling. Finally, the critical criteria for wrinkle formation were determined through reaction force analysis in these areas. The proposed analytical method significantly reduces the product design cycle and cuts down on design and prototype costs. (shrink)

The automotive door system's weather-strip seals play a crucial role in determining the degree of door closure, sealing the passenger cabin from water, and reducing wind noise inside the vehicle. Wrinkles often occur when installing weather-strips on door surfaces with bent or twisted profiles, affecting both the closure tightness and the noise insulation properties of the car door system. This study characterizes the wrinkling of Ethylene Propylene Diene Monomer (EPDM) automotive weather-strip seals during bending and identifies critical conditions for wrinkle (...) formation. The hyper elastic behaviour of the seal's EPDM sponge and dense EPDM rubber was modeled using the Foam and Mooney-Rivlin models, respectively. A Finite Element Analysis (FEA) model of the automotive weather strip seal was then developed and analysed using the linear FEA software Abaqus to determine the deformation and thickness reduction in areas prone to wrinkling. Finally, the critical criteria for wrinkle formation were determined through reaction force analysis in these areas. The proposed analytical method significantly reduces the product design cycle and cuts down on design and prototype costs. (shrink)

This paper addresses the cultural sustainability of artificial intelligence use through one of its most widely discussed instances: autonomous driving. The introduction of self-driving cars places us in a radically novel moral situation, requiring advance, reflectively endorsed, forced, and iterable choices, with yet uncharted forms of risk imposition. The argument is meant to explore the necessity and possibility of maintaining one of our most fundamental moral-cultural principles in this new context, that of the equal treatment of persons. It is claimed (...) that the implementation of this principle requires central and uniform regulation in autonomous mobility. (shrink)