Results for 'sensor data'

974 found
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  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 (...)
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  2. 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 (...)
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  3. 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 (...)
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  4. 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 (...)
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  5.  52
    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, (...)
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  6. 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 (...)
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  7.  52
    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, (...)
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  8.  89
    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 (...)
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  9.  94
    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 (...)
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  10. Occam's Razor For Big Data?Birgitta Dresp-Langley - 2019 - Applied Sciences 3065 (9):1-28.
    Detecting quality in large unstructured datasets requires capacities far beyond the limits of human perception and communicability and, as a result, there is an emerging trend towards increasingly complex analytic solutions in data science to cope with this problem. This new trend towards analytic complexity represents a severe challenge for the principle of parsimony (Occam’s razor) in science. This review article combines insight from various domains such as physics, computational science, data engineering, and cognitive science to review the (...)
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  11. 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 (...)
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  12. Consensus-Based Data Management within Fog Computing For the Internet of Things.Al-Doghman Firas Qais Mohammed Saleh - 2019 - Dissertation, University of Technology Sydney
    The Internet of Things (IoT) infrastructure forms a gigantic network of interconnected and interacting devices. This infrastructure involves a new generation of service delivery models, more advanced data management and policy schemes, sophisticated data analytics tools, and effective decision making applications. IoT technology brings automation to a new level wherein nodes can communicate and make autonomous decisions in the absence of human interventions. IoT enabled solutions generate and process enormous volumes of heterogeneous data exchanged among billions of (...)
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  13. Data Analysis, Analytics in Internet of Things and BigData.Mohammad Nezhad Hossein Shourkaei, Damghani Hamidreza, D. Leila & Hosseinian Heliasadat - 2019 - 4th International Conference on Combinatorics, Cryptography, Computer Science and Computation 4.
    The Internet-of-Things (IoT) is gradually being established as the new computing paradigm, which is bound to change the ways of our everyday working and living. IoT emphasizes the interconnection of virtually all types of physical objects (e.g., cell phones, wearables, smart meters, sensors, coffee machines and more) towards enabling them to exchange data and services among themselves, while also interacting with humans as well. Few years following the introduction of the IoT concept, significant hype was generated as a result (...)
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  14.  35
    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 (...)
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  15.  75
    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.
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  16. Status of Big Data In Internet of Things: A Comprehensive Overview.Peter Alphonce & Lusekelo Kibona - 2018 - International Journal of Academic Multidisciplinary Research (IJAMR) 2 (3):5-9.
    Abstract: Reports suggests that total amount of data generated everyday reaches 2.5 quintillion bytes [9], annual global IP traffic run rate in 2016 was 1.2 zettabytes and will reach 3.3 zettabytes by 2021 [12]. According to Gartner [25], Internet of Things excluding personal computers, tablets and smartphones will grow to 26 billion units of installed devices in year 2020. This results from penetration of digital applications which highly motivated by smart societies which can be defined as to when a (...)
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  17.  38
    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 (...)
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  18. Cloud-Based IoT System for Outdoor Pollution Detection and Data Analysis.Prathap Jeyapandi - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):424-430.
    Air pollution is a significant environmental concern that affects human health, ecosystems, and climate change. Effective monitoring and management of outdoor air quality are crucial for mitigating its adverse effects. This paper presents an advanced approach to outdoor pollution measurement utilizing Internet of Things (IoT) technology, combined with optimization techniques to enhance system efficiency and data accuracy. The proposed framework integrates a network of IoT sensors that continuously monitor various air pollutants, such as particulate matter (PM), carbon monoxide (CO), (...)
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  19. An Introduction to Hard and Soft Data Fusion via Conceptual Spaces Modeling for Space Event Characterization.Jeremy Chapman, David Kasmier, John L. Crassidis, James L. Llinas, Barry Smith & Alex P. Cox - 2021 - In Jeremy Chapman, David Kasmier, John L. Crassidis, James L. Llinas, Barry Smith & Alex P. Cox (eds.), National Symposium on Sensor & Data Fusion (NSSDF), Military Sensing Symposia (MSS).
    This paper describes an AFOSR-supported basic research program that focuses on developing a new framework for combining hard with soft data in order to improve space situational awareness. The goal is to provide, in an automatic and near real-time fashion, a ranking of possible threats to blue assets (assets trying to be protected) from red assets (assets with hostile intentions). The approach is based on Conceptual Spaces models, which combine features from traditional associative and symbolic cognitive models. While Conceptual (...)
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  20. 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 (...)
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  21. 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 (...)
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  22. 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 (...)
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  23.  17
    Solving the Turbulence Problem in Physics Using the Universal Formula.Angelito Malicse - manuscript
    Solving the Turbulence Problem in Physics Using the Universal Formula -/- By Angelito Malicse -/- Introduction -/- Turbulence remains one of the greatest unsolved problems in physics. It is a chaotic, unpredictable phenomenon observed in fluid dynamics, affecting airflow over aircraft wings, ocean currents, wind energy systems, and even blood flow in the human body. Despite the well-established Navier-Stokes equations governing fluid motion, turbulence remains difficult to fully predict and control due to its inherent complexity. -/- In this essay, I (...)
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  24.  35
    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.
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  25.  93
    AI in Climate Change Mitigation.Mohammad Alnajjar, Mohammed Hazem M. Hamadaqa, Mohammed N. Ayyad, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research (IJAER) 8 (10):31-37.
    Abstract: Climate change presents a critical challenge that demands advanced analytical tools to predict and mitigate its impacts. This paper explores the role of artificial intelligence (AI) in enhancing climate modeling, emphasizing how AI-driven methods are revolutionizing our understanding and response to climate change. By integrating machine learning algorithms with diverse data sources such as satellite imagery, historical climate records, and real-time sensor data, AI improves the accuracy, efficiency, and granularity of climate predictions. The paper reviews key (...)
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  26. 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 (...)
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  27. The Ontology of Fields.Donna Peuquet, Barry Smith & Berit O. Brogaard (eds.) - 1998 - National Center for Geographic Information and Analysis.
    In the specific case of geography, the real world consists on the one hand of physical geographic features (bona fide objects) and on the other hand of various fiat objects, for example legal and administrative objects, including parcels of real estate, areas of given soil types, census tracts, and so on. It contains in addition the beliefs and actions of human beings directed towards these objects (for example, the actions of those who work in land registries or in census bureaux), (...)
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  28. 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 (...)
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  29. 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 (...)
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  30. 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. (...)
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  31. State of the Art of Audio- and Video-Based Solutions for AAL.Slavisa Aleksic, Michael Atanasov, Jean Calleja Agius, Kenneth Camilleri, Anto Cartolovni, Pau Climent-Perez, Sara Colantonio, Stefania Cristina, Vladimir Despotovic, Hazim Kemal Ekenel, Ekrem Erakin, Francisco Florez-Revuelta, Danila Germanese, Nicole Grech, Steinunn Gróa Sigurđardóttir, Murat Emirzeoglu, Ivo Iliev, Mladjan Jovanovic, Martin Kampel, William Kearns, Andrzej Klimczuk, Lambros Lambrinos, Jennifer Lumetzberger, Wiktor Mucha, Sophie Noiret, Zada Pajalic, Rodrigo Rodriguez Perez, Galidiya Petrova, Sintija Petrovica, Peter Pocta, Angelica Poli, Mara Pudane, Susanna Spinsante, Albert Ali Salah, Maria Jose Santofimia, Anna Sigríđur Islind, Lacramioara Stoicu-Tivadar, Hilda Tellioglu & Andrej Zgank - 2022 - Alicante: University of Alicante.
    It is a matter of fact that Europe is facing more and more crucial challenges regarding health and social care due to the demographic change and the current economic context. The recent COVID-19 pandemic has stressed this situation even further, thus highlighting the need for taking action. Active and Assisted Living technologies come as a viable approach to help facing these challenges, thanks to the high potential they have in enabling remote care and support. Broadly speaking, AAL can be referred (...)
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  32. 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: (...)
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  33.  41
    Geo-Tagging of Plantation in The Catchment Area of Hydro Project.G. Prabhakar Raju - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (3):1-13.
    This project centers on developing a geo-tagging and monitoring system for plantations within the catchment area of a hydro project. Designed for the forest department, it provides real-time insights into environmental conditions to support the sustainable management of forest resources. The system comprises an Arduino Uno microcontroller that integrates GPS, DHT11 (temperature and humidity sensor), and LoRa modules to track and communicate critical data, such as the geographic location, temperature, and humidity around each plantation site. Powered by a (...)
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  34. Natural Mutation and Human Catalysis - Philosophy After the Big Bang Theory.Yang I. Pachankis - 2023 - Biomedical Journal of Scientific and Technical Research 48 (3):39784-39786.
    Purpose: The purpose of the discussion is to call for an experimental trial in order to optimize the sociology of knowledge in the astronomical and cosmological sciences from a cognitive science and developmental psychology perspective. The potential of such experimental trial may also correlate developmental psychology with cosmology and astrophysics, therefore, contribute to public health from an astrobiological perspective. -/- Method: The discussion adopts a philosophizing method for the multidisciplinary and trans-disciplinary proposal, with the hypothesis that proton decay in cosmology (...)
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  35.  34
    Smart Harvesting System (Agro-Flow).C. Dastagiriah - 2024 - International Journal of Engineering Innovations and Management Strategies, 1 (3):1-14.
    plant watering and monitors crop health to enhance farming efficiency and sustainability. The first component of the system is an automatic plant watering system, which leverages soil moisture sensors to monitor real-time soil conditions. When the soil moisture level falls below a predefined threshold, the system triggers an automatic irrigation process via a water pump. This system can be remotely controlled and monitored through a smartphone application or web interface, ensuring optimal water usage and preventing over-watering or under-watering. The second (...)
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  36.  33
    Comprehensive Inspection and Analysis of Water Distribution Lines.Goli Shiva Ram - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (8):1-14.
    This IoT-based water quality monitoring system ensures good water quality in distribution lines by monitoring pH value, flow rate, and conductivity level in real-time. Utilizing Arduino, pH, flow, and conductivity sensors, and ESP8266 WiFi module, the system analyses data and sends automated alerts to authorized personnel's Android devices. This automated monitoring enhances public health, provides real-time data analysis, and enables remote monitoring, making it an efficient solution for water distribution plants to maintain optimal water quality.
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  37. 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 (...)
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  38.  37
    Smart Health Alert System and Predictive Analytics for Enhanced Patient Monitoring.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):660-670.
    The continuous growth of healthcare data has made it essential to develop efficient systems that not only alert healthcare providers but also visualize patient data in a comprehensible way. This study introduces a Health Alert System integrated with Report Visualization powered by Data Analytics to improve patient monitoring and alerting mechanisms. By leveraging real-time data from wearable sensors and hospital records, the system generates health alerts based on deviations from normal parameters. The proposed system combines predictive (...)
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  39.  57
    Digital Monitoring of Diesel Generators.B. Ujwala - 2024 - International Journal of Engineering Innovations and Management Strategie 1 (3):1-13.
    The increasing demand for reliable power sources has made diesel generators essential in various industries. However, traditional monitoring methods often rely on manual inspections, resulting in inefficiencies, unplanned downtimes, and higher operational costs. This project proposes a digital monitoring system for diesel generators that leverages advanced sensor technologies and real-time data analytics to overcome these challenges. The system will utilize Internet of Things (IoT) devices to collect key operational parameters, such as fuel levels, temperature, vibration, and performance metrics, (...)
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  40.  85
    Advanced Driver Drowsiness Detection Model Using Optimized Machine Learning Algorithms.S. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):396-402.
    Driver drowsiness is a significant factor contributing to road accidents, resulting in severe injuries and fatalities. This study presents an optimized approach for detecting driver drowsiness using machine learning techniques. The proposed system utilizes real-time data to analyze driver behavior and physiological signals to identify signs of fatigue. Various machine learning algorithms, including Support Vector Machines (SVM), Convolutional Neural Networks (CNN), and Random Forest, are explored for their efficacy in detecting drowsiness. The system incorporates an optimization technique—such as Genetic (...)
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  41. 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, (...)
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  42. Making Sense of Sensory Input.Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli & Marek Sergot - 2021 - Artificial Intelligence 293 (C):103438.
    This paper attempts to answer a central question in unsupervised learning: what does it mean to “make sense” of a sensory sequence? In our formalization, making sense involves constructing a symbolic causal theory that both explains the sensory sequence and also satisfies a set of unity conditions. The unity conditions insist that the constituents of the causal theory – objects, properties, and laws – must be integrated into a coherent whole. On our account, making sense of sensory input is a (...)
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  43. 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 (...)
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  44.  24
    Empowering Power Plant Operations: A Digital Twin Platform for Real-Time Monitoring, Maintenance and Operational Efficiency.Md Ryan-Ur-Rehman - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (7):1-15.
    The project centers on the development and deployment of live digital twins for power plants, designed to seamlessly integrate with existing monitoring and database systems. These digital twins act as dynamic, real-time virtual replicas of physical power plants, capturing the intricate details of plant operations, infrastructure, and environmental interactions. The primary objective is to leverage this technology to enhance the construction, operation, and maintenance phases of power plant management. By continuously receiving real-time data from various operational sensors, equipment, and (...)
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  45.  25
    Dredging Analysis and Decision Support System.K. Mahesh - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (5):1-15.
    Dredging operations are essential for maintaining navigable waterways, but determining the ideal time to dredge requires a multifaceted approach, incorporating both environmental and operational variables. This paper presents the Dredging Analysis and Decision Support System (DADSS), a data-driven solution that employs historical sedimentation data, weather patterns, and water flow statistics to optimize dredging decisions. The system leverages Random Forest Classifier and Regressor models to predict the need for dredging and estimate associated costs. Key inputs include sedimentation depth, water (...)
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  46.  46
    Comprehensive IOT Solution for Optimized Digital Farming.V. Jyothi - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (3):1-14.
    Monitoring soil pH levels forms the backbone of precision agriculture with regard to maximizing crop health and yield. The paper discusses an IoT-based solution, specifically designed for continuous soil pH testing in digital farming. It has pH sensors placed strategically around the agricultural fields such that the information regarding the acidity or alkalinity of the soil is available in real-time. The pH information will be transmitted to the central IoT gateway. Here, the information is processed, and via communication of cloud-based (...)
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  47.  63
    Innovative Robotic Solutions for Improved Stock Management Efficiency.M. Sheik Dawood - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):680-690.
    The primary objective of this research is to enhance the precision and speed of stock handling while minimizing human intervention and error. Our design incorporates state-of-the-art sensors, real-time tracking systems, and autonomous robots programmed with advanced algorithms for object identification, gripping, and movement. We propose a systematic workflow for automating the storage and retrieval process, starting from the identification of the stock to its precise placement and retrieval within the storage facility. The design also addresses potential challenges such as robot (...)
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  48.  13
    Real-Time Visibility of Dumper Load Status to Shovel Operator.J. Balaraju - 2025 - International Journal of Engineering Innovations and Management Strategies 1 (9):1-10.
    . In the high-stakes environments of mining and construction, the efficiency of loading operations is crucial for maximizing productivity and ensuring safety. Shovel operators often rely on estimates or indirect cues to gauge the load status of haul trucks, leading to challenges such as overloading, underloading , and increased operational costs. Introducing real-time visibility for dumper load status can significantly transform this process. By equipping haul trucks with sensors and data transmission technology, operators gain immediate access to accurate load (...)
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  49.  50
    Predictive Healthcare Systems: Visual Analytics and Alert Mechanisms for Monitoring".M. Sheik Dawood - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):650-660.
    The continuous growth of healthcare data has made it essential to develop efficient systems that not only alert healthcare providers but also visualize patient data in a comprehensible way. This study introduces a Health Alert System integrated with Report Visualization powered by Data Analytics to improve patient monitoring and alerting mechanisms. By leveraging real-time data from wearable sensors and hospital records, the system generates health alerts based on deviations from normal parameters. The proposed system combines predictive (...)
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  50.  82
    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 (...)
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