Results for 'Sensor'

139 found
Order:
  1. Ontology-based fusion of sensor data and natural language.Erik Thomsen & Barry Smith - 2018 - Applied ontology 13 (4):295-333.
    We describe a prototype ontology-driven information system (ODIS) that exploits what we call Portion of Reality (POR) representations. The system takes both sensor data and natural language text as inputs and composes on this basis logically structured POR assertions. The goal of our prototype is to represent both natural language and sensor data within a single framework that is able to support both axiomatic reasoning and computation. In addition, the framework should be capable of discovering and representing new (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  2. DESIGN AND IMPLEMENTATION OF SENSOR NODE FOR WIRELESS SENSORS NETWORK TO MONITOR HUMIDITY OF HIGH-TECH POLYHOUSE ENVIRONMENT.B. P. Ladgaonkar - 2011 - International Journal of Advances in Engineering and Technology 1 (3):1-11.
    Wireless Sensors Network is a novel field shows tremendous application potential. To monitor the environmental parameters of high-tech polyhouse the Wireless Sensors Network (WSN) is developed. The heart of this ubiquitous field is the Wireless Sensor Node. Moreover, the field of microcontroller based embedded technology is innovative and more reliable. Therefore, based on an embedded technology and the RF module Zigbee a wireless senor node is designed about highly promising AVR ATmega8L microcontroller and implemented for WSN development. Recently, the (...)
    Download  
     
    Export citation  
     
    Bookmark  
  3. From Sensor Variables to Phenomenal Facts.W. Schwarz - 2019 - Journal of Consciousness Studies 26 (9-10):217-227.
    Some cognitive processes appear to have “phenomenal” properties that are directly revealed to the subject and not determined by physical properties. I suggest that the source of this appearance is the method by which our brain processes sensory information. The appearance is an illusion. Nonetheless, we are not mistaken when we judge that people sometimes fee lpain.
    Download  
     
    Export citation  
     
    Bookmark   5 citations  
  4. Nanochemical electrochemical sensors and a method called as say sandwich component Three.Afshin Rashid - 2024 - Authorea 7.
    The antenna is considered as the primary means of absorbing electromagnetic waves in space and has its own engineering knowledge, which is very developed and extensive. In general, in order to receive the electromagnetic wave in space, the dimensions of the antenna must be in the order of the size of the input wavelength to its surface. Due to the very low dimensions of nano-sensors, nano-antennas need a very high operating frequency to be usable. The use of graphene greatly helps (...)
    Download  
     
    Export citation  
     
    Bookmark  
  5. Conflicting Aims and Values in the Application of Smart Sensors in Geriatric Rehabilitation: Ethical Analysis.Christopher Predel, Cristian Timmermann, Frank Ursin, Marcin Orzechowski, Timo Ropinski & Florian Steger - 2022 - JMIR mHealth and uHealth 10 (6):e32910.
    Background: Smart sensors have been developed as diagnostic tools for rehabilitation to cover an increasing number of geriatric patients. They promise to enable an objective assessment of complex movement patterns. -/- Objective: This research aimed to identify and analyze the conflicting ethical values associated with smart sensors in geriatric rehabilitation and provide ethical guidance on the best use of smart sensors to all stakeholders, including technology developers, health professionals, patients, and health authorities. -/- Methods: On the basis of a systematic (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  6. Artificial Intelligence and Sensor Technologies the Future of Special Education for Students with Intellectual and Developmental Disabilities.Richard Lamb, Ikseon Choi & Tasha Owens - 2023 - Global Journal of Intellectual and Developmental Disabilities 11 (3):555814.
    Artificial Intelligence and Sensor Technologies the Future of Special Education for Students with Intellectual and Developmental Disabilities.
    Download  
     
    Export citation  
     
    Bookmark  
  7.  97
    Wireless IoT Sensors for Environmental Pollution Monitoring in Urban Areas.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):434-441.
    The data collected by these sensors are transmitted to a centralized system where optimization algorithms, such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA), are applied to optimize sensor placement, data transmission, and processing efficiency. This ensures accurate, real-time pollution monitoring and data analysis, providing actionable insights for policymakers, environmental agencies, and the general public. The system's performance is evaluated through simulations and real-world experiments, demonstrating its capability to deliver reliable and timely pollution data. Future (...)
    Download  
     
    Export citation  
     
    Bookmark  
  8.  91
    Low-Power IoT Sensors for Real-Time Outdoor Environmental Pollution Measurement.M. Arulselvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):430-440.
    The data collected by these sensors are transmitted to a centralized system where optimization algorithms, such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA), are applied to optimize sensor placement, data transmission, and processing efficiency. This ensures accurate, real-time pollution monitoring and data analysis, providing actionable insights for policymakers, environmental agencies, and the general public. The system's performance is evaluated through simulations and real-world experiments, demonstrating its capability to deliver reliable and timely pollution data. Future (...)
    Download  
     
    Export citation  
     
    Bookmark  
  9.  53
    Energy-Aware Depth-Based Routing Protocol for Enhanced Data Transmission in Underwater Wireless Sensor Networks.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):631-639.
    Underwater Wireless Sensor Networks (UWSNs) are pivotal for various applications, including oceanographic data collection, environmental monitoring, and naval operations. However, the harsh underwater environment poses challenges in designing efficient routing protocols, especially concerning energy consumption and data transmission reliability. This paper proposes an optimized depth-based routing protocol for energy-aware data transmission in UWSNs, focusing on minimizing energy usage while ensuring robust data delivery. The protocol dynamically adjusts transmission power based on node depth and residual energy, reducing communication overhead and (...)
    Download  
     
    Export citation  
     
    Bookmark  
  10. Aligning Patient’s Ideas of a Good Life with Medically Indicated Therapies in Geriatric Rehabilitation Using Smart Sensors.Cristian Timmermann, Frank Ursin, Christopher Predel & Florian Steger - 2021 - Sensors 21 (24):8479.
    New technologies such as smart sensors improve rehabilitation processes and thereby increase older adults’ capabilities to participate in social life, leading to direct physical and mental health benefits. Wearable smart sensors for home use have the additional advantage of monitoring day-to-day activities and thereby identifying rehabilitation progress and needs. However, identifying and selecting rehabilitation priorities is ethically challenging because physicians, therapists, and caregivers may impose their own personal values leading to paternalism. Therefore, we develop a discussion template consisting of a (...)
    Download  
     
    Export citation  
     
    Bookmark  
  11. A Multiple Sensor Data-Fusion for EFD Using IoT.M. Madan Mohan - 2021 - Journal of Science Technology and Research (JSTAR) 2 (1):70-80.
    Multi sensor data fusion allows large scale deployments for environmental monitoring applications especially in the areas like homes, other buildings and infrastructures and industries. In such areas early fire detection is of great importance as the consequences of a fire are catastrophic. This project predicts the possibility of catching fire using a multi-sensor scheme of data fusion to enhance the performance of the early fire detection process by detecting the concentration of inflammable gases in the atmosphere and by (...)
    Download  
     
    Export citation  
     
    Bookmark  
  12.  36
    Averting Eavesdrop Intrusion in Industrial Wireless Sensor Networks.Arul Selvan M. Arul Selvan M. - 2016 - International Journal of Innovative Research in Computer Science and Engineering (Ijircse) 2 (1):8-13.
    —Industrial networks are increasingly based on open protocols and platforms that are also employed in the IT industry and Internet background. Most of the industries use wireless networks for communicating information and data, due to high cable cost. Since, the wireless networks are insecure, it is essential to secure the critical information and data during transmission. The data that transmitted is intercepted by eavesdropper can be predicted by secrecy capacity. The secrecy capacity is the difference between channel capacity of main (...)
    Download  
     
    Export citation  
     
    Bookmark  
  13.  14
    Kaizen: A Fitness Application for Activity Tracking and Diet Management using Mobile Sensors.V. Vashishta Mithra Reddy - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (11):1-14.
    This paper presents Kaizen, a sensor-driven mobile application developed to track and encourage physical activity through goal-setting, gamification, and personalized diet recommendations, tailored specifically to the Indian dietary context. Kaizen uses accelerometers, GPS, and gyroscopes to monitor user movements in real-time, offering an alternative to traditional fitness tracking methods that often lack cultural dietary considerations or personalized motivation systems. With a ranking system and interactive challenges, Kaizen aims to enhance user engagement and promote continuous improvement in health and fitness. (...)
    Download  
     
    Export citation  
     
    Bookmark  
  14. An Exposition of Moral Issues in the Use of Sensor Technology on Psychiatric Patients.Ubong Iniobong David - 2018 - GNOSI: An Interdisciplinary Journal of Human Theory and Praxis 1 (1).
    The advance of scientific approaches to life has recorded a plethora of successes as well as failures. Man being at the center of its experiment is tossed toe and fro by the result of its inquiry. Predictions are that in the nearest time, humanity might be living absolutely under the directives of Technology based on Artificial intelligence. At present, Technology based on Artificial Intelligence is quickly finding its way into various areas of life including health and social services. This spread (...)
    Download  
     
    Export citation  
     
    Bookmark  
  15.  76
    OPTIMIZED AGGREGATED PACKET TRANSMISSION IN DUTY-CYCLED WIRELESS SENSOR NETWORKS.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):444-458.
    t: Wireless Sensor Networks (WSNs) have become increasingly prevalent in various applications, ranging from environmental monitoring to smart cities. However, the limited energy resources of sensor nodes pose significant challenges in maintaining network longevity and data transmission efficiency. Duty-cycled WSNs, where sensor nodes alternate between active and sleep states to conserve energy, offer a solution to these challenges but introduce new complexities in data transmission.
    Download  
     
    Export citation  
     
    Bookmark  
  16.  53
    Optimized Depth-Based Routing for Energy-Efficient Data Transmission in Underwater Wireless Sensor Networks.K. Usharani - 2024 - Journal of Science Technology and Research (JSTAR) 5 ( 1):623-628.
    Underwater Wireless Sensor Networks (UWSNs) are pivotal for various applications, including oceanographic data collection, environmental monitoring, and naval operations. However, the harsh underwater environment poses challenges in designing efficient routing protocols, especially concerning energy consumption and data transmission reliability. This paper proposes an optimized depth-based routing protocol for energy-aware data transmission in UWSNs, focusing on minimizing energy usage while ensuring robust data delivery. The protocol dynamically adjusts transmission power based on node depth and residual energy, reducing communication overhead and (...)
    Download  
     
    Export citation  
     
    Bookmark  
  17.  39
    Improved Depth-Based Routing for Prolonged Network Lifetime in Underwater Wireless Sensor Systems.R. Senthilkumar - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):625-630.
    The protocol dynamically adjusts transmission power based on node depth and residual energy, reducing communication overhead and prolonging network lifetime. The proposed methodology employs a multi-step approach, starting with the initialization phase, where nodes calculate their depth and energy levels. Following this, a depth-based clustering mechanism organizes nodes into clusters, allowing more efficient data aggregation. The routing process then prioritizes nodes with higher energy levels, reducing premature node failure. A novel energy-aware transmission algorithm ensures that data packets are transmitted over (...)
    Download  
     
    Export citation  
     
    Bookmark  
  18. (1 other version)Review of: "Many types of electrical nano-sensors using CP nanomaterials designed for nano-biological applications".Afshin Rashid - 2024 - Qeios 8 (815_987654):1 _ 2.
    Note: Many types of nanosensors are designed using CP nanomaterials for nanobiological applications. (Conductive surface) The oxidation of conductive polymeric materials is easily altered by redox mechanisms, and the charge transfer properties of these materials are affected by structural parameters, such as diameter and dimensions. CP materials are able to provide sensitive and rapid responses to specific biological and chemical species. Techniques such as chemical polymerization are often used to make CP nanomaterials. Manufacturing strategies can be divided into three categories: (...)
    Download  
     
    Export citation  
     
    Bookmark  
  19. Density Based Traffic Control Signaling Using IR sensors.Tenepalli Kalyan Sai Manikanta Chari & SaiTeja Tutika - 2019 - IJEAIS 3 (3):51-60.
    Abstract—Traffic clog is a serious issue in the majority of the urban areas over the world and it has turned into a bad dream for the residents. It is brought about by postponement in flag, improper planning of traffic flagging and so on. The postponement of traffic light is hard coded and it doesn't depend on traffic. In this manner for streamlining traffic control, there is an expanding request in precise snappy programmed framework. This paper is intended to build up (...)
    Download  
     
    Export citation  
     
    Bookmark  
  20. Mechanical Ventilator Design for COVID-19 Patient with Resistive Belt Sensor.Mustefa Jibril - 2021 - ScienceOpen 7 (3):1-9.
    A ventilator is a device that provides cool air by moving the air in or out of the lungs, inhaling a patient who is not fit to smell, or breathing properly. In this paper, a resistive chest belt sensorbased mechanical ventilator is designed to provide the COVID-19 patient with the volume of air you need to deliver with the expansion of the patient's chest in need of more air. The resistive band sensor senses the expansion of the patient's chest (...)
    Download  
     
    Export citation  
     
    Bookmark  
  21. Automatic Heat Dispel System for DINGSON Biscuit Oven using Thermocouple Temperature Sensor.Mustefa Jibril - 2021 - Journal of Engineering and Applied Sciences 16 (4):147-151.
    In this study, an automatic heat dispel system for DINGSON Biscuit Oven have been designed and simulated using Proteus program successfully. This system uses thermocouple temperature sensor to sense the oven temperature and automatically open and close the dispel system. The temperature in which the dispel open and close can be adjusted any time the operator needs to adjust it.
    Download  
     
    Export citation  
     
    Bookmark  
  22. Design to Implementation of A Line Follower Robot Using 5 Sensors.Anupoju Sai Vamsi, Badana Manasa, Kocherla Rama Krishna, Tarigoppula Venu & A. N. V. N. Shashank - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (1):42-47.
    Abstract: The main objective is to design a line follower robot is to carry products in the manufacturing process in industries. In this paper, we mainly focused on the design to work the line follower efficiently with lighter weight. The line follower robot designed with 5 sensors to make the robot move in even complex paths. This paper discussed the mechanical and technical issues with the line follower robot and applications in various fields. In the working model, we used black (...)
    Download  
     
    Export citation  
     
    Bookmark  
  23. Efficient Aggregated Data Transmission Scheme for Energy-Constrained Wireless Sensor Networks.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):445-460.
    Optimization algorithms such as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) are employed to determine the optimal aggregation and transmission schedules, taking into account factors such as network topology, node energy levels, and data urgency. The proposed approach is validated through extensive simulations, demonstrating significant improvements in energy consumption, packet delivery ratio, and overall network performance. The results suggest that the optimized aggregated packet transmission method can effectively extend the lifespan of duty-cycled WSNs while ensuring reliable data communication. Future (...)
    Download  
     
    Export citation  
     
    Bookmark  
  24. EDAP: An Efficient Data-Gathering Protocol for Wireless Sensor Networks.Nastooh Taheri Javan - 2011 - International Journal of Ad Hoc and Ubiquitous Computing 7 (1):12-24.
    Directed Diffusion (DD) uses data aggregation to suppress data overhead however there is no guarantee that paths from nearby sources join after a few hops. In this paper, an efficient data-gathering protocol (EDAP) is proposed to address this problem by using a Virtual Sink (VS) node nearby the sources, which plays the role of sink node and broadcasts local interest messages and routes gathered data toward destination. Also, multiple paths are constructed between VS and the sink node, which leads to (...)
    Download  
     
    Export citation  
     
    Bookmark  
  25. Ontology based annotation of contextualized vital signs.Goldfain Albert, Xu Min, Bona Jonathan & Barry Smith - 2013 - In Albert Goldfain, Min Xu, Jonathan Bona & Smith Barry (eds.), Proceedings of the Fourth International Conference on Biomedical Ontology (ICBO). pp. 28-33.
    Representing the kinetic state of a patient (posture, motion, and activity) during vital sign measurement is an important part of continuous monitoring applications, especially remote monitoring applications. In contextualized vital sign representation, the measurement result is presented in conjunction with salient measurement context metadata. We present an automated annotation system for vital sign measurements that uses ontologies from the Open Biomedical Ontology Foundry (OBO Foundry) to represent the patient’s kinetic state at the time of measurement. The annotation system is applied (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  26.  36
    Adaptive Depth-Based Routing Protocol for Energy-Constrained Underwater Wireless Networks.M. Sheik Dawood - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):635-640.
    Underwater Wireless Sensor Networks (UWSNs) have emerged as a critical tool for various marine applications, such as underwater surveillance, oceanographic data collection, pollution monitoring, and resource exploration. These networks consist of a group of sensor nodes deployed underwater to monitor and collect data, which are then transmitted to a surface station for analysis.
    Download  
     
    Export citation  
     
    Bookmark  
  27. Information-Matter Bipolarity of the Human Organism and Its Fundamental Circuits: From Philosophy to Physics/Neurosciences-Based Modeling.Florin Gaiseanu - 2020 - Philosophy Study 10 (2):107-118.
    Starting from a philosophical perspective, which states that the living structures are actually a combination between matter and information, this article presents the results on an analysis of the bipolar information-matter structure of the human organism, distinguishing three fundamental circuits for its survival, which demonstrates and supports this statement, as a base for further development of the informational model of consciousness to a general informational model of the human organism. For this, it was examined the Informational System of the Human (...)
    Download  
     
    Export citation  
     
    Bookmark   5 citations  
  28. BATTERY-POWERED DEVICE FOR MONITORING PHYSICAL DISTANCING THROUGH WIRELESS TECHNOLOGY.Angelica A. Cabaya, Rachel Grace B. Rizardo, Clesphsyche April O. Magno, Aubrey Madar B. Magno, Fredolen A. Causing, Steven V. Batislaong & Raffy S. Virtucio - 2023 - Get International Research Journal 1 (2).
    One method for preventing the spread of the coronavirus and other contagious diseases is through social distancing. Therefore, creating a tool to measure and quickly discover the precise distance is necessary. In order to prevent physical contact between individuals, this study aimed to detects individuals’ physical distance, through an inaugurated battery-powered device that monitors physical distance through wireless technology. Specifically, in public or crowded areas, to lessen the spread of the virus. This study focuses on detecting people’s physical distance in (...)
    Download  
     
    Export citation  
     
    Bookmark  
  29.  13
    Gesture-Based Control System Injamuri.Sri Sanjana - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (11):1-14.
    t. This paper presents a sensor-based approach to developing a gesture-controlled robotic vehicle, designed to enhance human-machine interaction in a more intuitive and accessible manner. The system translates hand movements, detected through accelerometers and gyroscopes within a wearable device, into commands that control the vehicle. Traditional methods for operating robotic systems, such as joysticks or remote controls, often require physical interaction, limiting their effectiveness, especially for individuals with disabilities or in environments where hands-free control is essential. This approach offers (...)
    Download  
     
    Export citation  
     
    Bookmark  
  30. Smart Walking System based on Artificial Intelligence.Vanita Babanne, Simranjeet Kaur, Tejal Mehta, Divya Mulay & Rachana Nagarkar - 2018 - International Journal of Research in Engineering, Science and Management 1 (12).
    This paper shows the smart walking stick based on ultrasonic sensors and Arduino for outwardly debilitated individuals. There are roughly 37 million individuals over the globe who are visually impaired as indicated by the World Health Organization. Individuals with visual inabilities are regularly subjected to outer help which can be given by people, trained dogs, or electronic gadgets as supportive networks for basic assistance. Thus, this played as the motivation to develop a smart cane white stick to survive these restrictions (...)
    Download  
     
    Export citation  
     
    Bookmark  
  31. Modern Automated System for Traffic Signals.Senbaga Ganesh - 2021 - Journal of Science Technology and Research (JSTAR) 2 (1):111-119.
    This work has been designed to develop an a dynamic road signal based on an emergency with density. The sync signal automatically switches to detecting traffic density at the intersection. Traffic congestion is a serious problem in many large cities around the world and has become a nightmare for travelers in these cities. The conventional traffic light system is based on the concept of fixed time assigned to each side of the join that cannot be varied by varying traffic density. (...)
    Download  
     
    Export citation  
     
    Bookmark  
  32. Latency-Aware Packet Transmission Optimization in Duty-Cycled WSNs.M. Arulselvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):444-459.
    Wireless Sensor Networks (WSNs) have become increasingly prevalent in various applications, ranging from environmental monitoring to smart cities. However, the limited energy resources of sensor nodes pose significant challenges in maintaining network longevity and data transmission efficiency. Duty-cycled WSNs, where sensor nodes alternate between active and sleep states to conserve energy, offer a solution to these challenges but introduce new complexities in data transmission. This paper presents an optimized approach to aggregated packet transmission in duty-cycled WSNs, utilizing (...)
    Download  
     
    Export citation  
     
    Bookmark  
  33.  67
    In-Cab Smart Guidance and support system for Dragline operator.P. Lavanya - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (2):1-13.
    The proposed sensor device for dragline operator is designed to enhance environmental safety by detecting and alerting operators to climate change impacts and potential hazards. Utilizing advanced sensor technology, this device continuously monitors weather conditions, such as heavy rain, strong winds, and extreme temperatures. When a hazard is detected, the device provides real-time alerts through an intuitive interface, enabling operators to take immediate action to mitigate risks. This proactive approach ensures operators are well-informed about their surroundings, significantly reducing (...)
    Download  
     
    Export citation  
     
    Bookmark  
  34. Smoke Detectors Using ANN.Marwan R. M. Al-Rayes & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (10):1-9.
    Abstract: Smoke detectors are critical devices for early fire detection and life-saving interventions. This research paper explores the application of Artificial Neural Networks (ANNs) in smoke detection systems. The study aims to develop a robust and accurate smoke detection model using ANNs. Surprisingly, the results indicate a 100% accuracy rate, suggesting promising potential for ANNs in enhancing smoke detection technology. However, this paper acknowledges the need for a comprehensive evaluation beyond accuracy. It discusses potential challenges, such as overfitting, dataset size, (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  35. Digital wormholes.Elizabeth O’Neill - 2023 - AI and Society 38 (6):2713-2715.
    Cameras, microphones, and other sensors continue to proliferate in the world around us. I offer a new metaphor for conceptualizing these technologies: they are _digital wormholes_, transmitting representations of human persons between disparate points in space–time. We frequently cannot tell when they are operational, what kinds of data they are collecting, where the data may reappear in the future, and how the data can be used against us. The wormhole metaphor makes the mysteriousness of digital sensors salient: digital sensors have (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  36. From Biological Synapses to "Intelligent" Robots.Birgitta Dresp-Langley - 2022 - Electronics 11:1-28.
    This selective review explores biologically inspired learning as a model for intelligent robot control and sensing technology on the basis of specific examples. Hebbian synaptic learning is discussed as a functionally relevant model for machine learning and intelligence, as explained on the basis of examples from the highly plastic biological neural networks of invertebrates and vertebrates. Its potential for adaptive learning and control without supervision, the generation of functional complexity, and control architectures based on self-organization is brought forward. Learning without (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  37. Grip force as a functional window to somatosensory cognition.Birgitta Dresp-Langley - 2022 - Frontiers in Psychology 13:1026439.
    Analysis of grip force signals tailored to hand and finger movement evolution and changes in grip force control during task execution provide unprecedented functional insight into somatosensory cognition. Somatosensory cognition is a basis of our ability to manipulate, move, and transform objects of the physical world around us, to recognize them on the basis of touch alone, and to grasp them with the right amount of force for lifting and manipulating them. Recent technology has permitted the wireless monitoring of grip (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  38. Deep learning and synthetic media.Raphaël Millière - 2022 - Synthese 200 (3):1-27.
    Deep learning algorithms are rapidly changing the way in which audiovisual media can be produced. Synthetic audiovisual media generated with deep learning—often subsumed colloquially under the label “deepfakes”—have a number of impressive characteristics; they are increasingly trivial to produce, and can be indistinguishable from real sounds and images recorded with a sensor. Much attention has been dedicated to ethical concerns raised by this technological development. Here, I focus instead on a set of issues related to the notion of synthetic (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  39. Designing the Health-related Internet of Things: Ethical Principles and Guidelines.Brent Mittelstadt - 2017 - Information 8 (3):77.
    The conjunction of wireless computing, ubiquitous Internet access, and the miniaturisation of sensors have opened the door for technological applications that can monitor health and well-being outside of formal healthcare systems. The health-related Internet of Things (H-IoT) increasingly plays a key role in health management by providing real-time tele-monitoring of patients, testing of treatments, actuation of medical devices, and fitness and well-being monitoring. Given its numerous applications and proposed benefits, adoption by medical and social care institutions and consumers may be (...)
    Download  
     
    Export citation  
     
    Bookmark   5 citations  
  40. The attribute of realness and the internal organization of perceptual reality.Rainer Mausfeld - 2013 - In Liliana Albertazzi (ed.), Handbook of Experimental Phenomenology. Visual Peception of Shape, Space and Appearance. Chichester, West Sussex, UK: Wiley.
    The chapter deals with the notion of phenomenal realness, which was first systematically explored by Albert Michotte. Phenomenal realness refers to the impression that a perceptual object is perceived to have an autonomous existence in our mind-independent world. Perceptual psychology provides an abundance of phenomena, ranging from amodal completion to picture perception, that indicate that phenomenal realness is an independent perceptual attribute that can be conferred to perceptual objects in different degrees. The chapter outlines a theoretical framework that appears particularly (...)
    Download  
     
    Export citation  
     
    Bookmark   5 citations  
  41. Gut feelings of safety: Tolerance to the microbiota mediated by innate immune receptors.Bartlomiej Swiatczak & Irun R. Cohen - 2015 - Microbiology and Immunology 59 (10):573-585.
    To enable microbial colonisation of the gut mucosa, the intestinal immune system must not only react to danger signals but also recognize cues that indicate safety. Safety recognition, paradoxically, is mediated by the same environmental sensors that are involved in signalling danger. Indeed, in addition to their well established role in inducing inflammation in response to stress signals, pattern recognition receptors (PRRs) and a variety of metabolic sensors also promote gut-microbiota symbiosis by responding to "microbial symbiosis factors", "resolution-associated molecular patterns", (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  42.  85
    Effective Urban Resilience through AI-Driven Predictive Analytics in Smart Cities.E. Garcia - manuscript
    Urban resilience is critical for ensuring the sustainability and adaptability of cities in the face of growing challenges such as climate change, population growth, and infrastructure degradation. Predictive analytics, powered by Artificial Intelligence (AI) and the Internet of Things (IoT), offers a transformative approach to enhancing urban resilience. This paper explores how AI-driven predictive analytics can optimize disaster preparedness, infrastructure maintenance, and resource allocation in smart cities. By integrating real-time data from IoT sensors with advanced machine learning models, cities can (...)
    Download  
     
    Export citation  
     
    Bookmark  
  43.  18
    The Inefficiency of the Biological Brain and Its Impact on Personal, Social, and Societal Problems: A Perspective Based on the Universal Formula.Angelito Malicse - manuscript
    -/- The Inefficiency of the Biological Brain and Its Impact on Personal, Social, and Societal Problems: A Perspective Based on the Universal Formula -/- The human brain, though remarkably complex and capable of extraordinary feats, is inherently limited by its biological structure and inefficiencies. These limitations often lead to errors in perception, cognition, and decision-making, which in turn contribute to a wide range of personal, social, and societal problems. Using the framework of the universal formula, which incorporates the law of (...)
    Download  
     
    Export citation  
     
    Bookmark  
  44.  69
    AI-Driven Water Management Systems for Sustainable Urban Development.Eric Garcia - manuscript
    Water scarcity and inefficient water management are critical challenges for rapidly growing urban areas. Traditional water distribution systems often suffer from leaks, wastage, and inequitable access, exacerbating resource shortages. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban water management by enabling real-time monitoring, predictive maintenance, and efficient resource allocation. By integrating data from smart meters, pressure sensors, and weather forecasts, cities can reduce water losses, improve distribution efficiency, and ensure equitable access. Experimental results demonstrate significant (...)
    Download  
     
    Export citation  
     
    Bookmark  
  45. Persons or datapoints?: Ethics, artificial intelligence, and the participatory turn in mental health research.Joshua August Skorburg, Kieran O'Doherty & Phoebe Friesen - 2024 - American Psychologist 79 (1):137-149.
    This article identifies and examines a tension in mental health researchers’ growing enthusiasm for the use of computational tools powered by advances in artificial intelligence and machine learning (AI/ML). Although there is increasing recognition of the value of participatory methods in science generally and in mental health research specifically, many AI/ML approaches, fueled by an ever-growing number of sensors collecting multimodal data, risk further distancing participants from research processes and rendering them as mere vectors or collections of data points. The (...)
    Download  
     
    Export citation  
     
    Bookmark  
  46. Why machines do not understand: A response to Søgaard.Jobst Landgrebe & Barry Smith - 2023 - Archiv.
    Some defenders of so-called `artificial intelligence' believe that machines can understand language. In particular, Søgaard has argued in his "Understanding models understanding language" (2022) for a thesis of this sort. His idea is that (1) where there is semantics there is also understanding and (2) machines are not only capable of what he calls `inferential semantics', but even that they can (with the help of inputs from sensors) `learn' referential semantics. We show that he goes wrong because he pays insufficient (...)
    Download  
     
    Export citation  
     
    Bookmark  
  47.  54
    AI-Enhanced Public Safety Systems in Smart Cities.Eric Garcia - manuscript
    Ensuring public safety is a critical challenge for rapidly growing urban areas. Traditional policing and emergency response systems often struggle to keep pace with the complexity and scale of modern cities. Artificial Intelligence (AI) offers a transformative solution by enabling real-time crime prediction, optimizing emergency resource allocation, and enhancing situational awareness through IoT-enabled systems. This paper explores how AI-driven analytics, combined with data from surveillance cameras, social media, and environmental sensors, can improve public safety in smart cities. By addressing challenges (...)
    Download  
     
    Export citation  
     
    Bookmark  
  48. INDUSTRY-SPECIFIC INTELLIGENT FIRE MANAGEMENT SYSTEM.M. Arul Selvan - 2023 - Journal of Science Technology and Research (JSTAR) 4 (1):247-259.
    The proposed model in this paper employs different integrated detectors, such as heat, smoke, and flame. The signals from those detectors go through the system algorithm to check the fire's potentiality and then broadcast the predicted result to various parties using GSM modem associated with the GSM network system. The system uses various sensors to detect fire, smoke, and gas, then transmits the message using GSM module. After the message, send by the module the help arrives in 15 minutes. The (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  49.  51
    AI-Optimized Urban Green Spaces: Enhancing Biodiversity and Sustainability in Smart Cities.Eric Garcia - manuscript
    Urban green spaces are vital for mitigating climate change, enhancing biodiversity, and improving citizen well-being. However, traditional methods of designing and managing these spaces often lack the precision and scalability needed to address modern urban challenges. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban green spaces in smart cities. By integrating satellite imagery, soil sensors, and machine learning models, cities can dynamically monitor plant health, predict ecological impacts, and design green zones that maximize biodiversity and (...)
    Download  
     
    Export citation  
     
    Bookmark  
  50.  51
    AI-Enhanced Urban Mobility: Optimizing Public Transportation Systems in Smart Cities.Eric Garcia - manuscript
    Urban transportation systems face significant challenges due to increasing congestion, inefficient routes, and fluctuating passenger demand. Traditional public transportation networks often struggle to adapt dynamically to these challenges, leading to delays, overcrowding, and environmental inefficiencies. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban mobility by enabling real-time route optimization, demand forecasting, and passenger flow management. By integrating data from GPS trackers, fare collection systems, and environmental sensors, cities can reduce travel times, enhance commuter satisfaction, and (...)
    Download  
     
    Export citation  
     
    Bookmark  
1 — 50 / 139