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Quantitative Analysis and Optimization of sensor Deployment for Enhanced Activity Recognition in Smart Home Environments: A Multidimensional Approach to Data-Driven Intelligence and Efficiency in Universal Computing Spaces

Quantitative Analysis and Optimization of Sensor Deployment ...

引用

Advancements in Power, Communication and Intelligent systems (APCI), International conference on

作者： Khalid Aziz Sakshi Dua Prabal Gupta Lovely Professional University Phagwara Punjab India

ISBN: (数字)9798350363289

ISBN: (纸本)9798350363296

This paper presents a comprehensive study on the enhancement of smart home automation and monitoring systems through the application of advanced activity recognition algorithms and sensor deployment optimization. We start by taking a CASAS dataset capturing a wide range of daily living activities, detected through an array of environmental sensors. This study conducts an in-depth analysis of activity recognition performance, leveraging precision, recall, and f1score metrics to identify areas for improvement in existing machine learning models. Further, we investigate sensor activation data to propose optimizations in sensor deployment, aimed at increasing the accuracy of activity recognition while reducing unnecessary sensor data processing. Through temporal analysis of activity patterns, we develop predictive models that forecast future activities with significant accuracy, facilitating smarter resource management and personalized automation strategies. This paper also explores the implications of our findings on user experience enhancement. Our methodology showcases the integration of machine learning techniques, statistical analysis, and practical considerations for deploying smart home technologies. The results indicate a promising avenue for future research and development in smart environments, with potential applications extending beyond residential settings to include healthcare facilities and office spaces. The findings underscore the importance of adaptive and intelligent systems in enhancing the quality of life through technology.

关键词： Adaptation models Automation Adaptive systems Statistical analysis Smart homes Machine learning Activity recognition

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Smart Agriculture Using Modern Technologies

Smart Agriculture Using Modern Technologies

引用

International conference on advanced Computing and Communication systems (ICACCS)

作者： N Shanmugasundaram G Santhip Kumar S Sankaralingam S Vishal N Kamaleswaran Department of Electronics and Communication Engineering Sri Eshwar College of Engineering Coimbatore India

Agriculture is a critical resource for survival of all living things on earth. Agriculture also provides most of the food and fabrics to the world. Environmental changes have impacted today’s agriculture and it has slowed down the productivity of crops. Shortage of water and pests are the major issue that mitigates the yield in agriculture. To sort out these issues, experts and researchers have proposed new processes and adoption of new technologies like Internet of Things (IoT), Smart sensors, Wireless sensor Networks (WSN), Image processing, Data analytics, Artificial Intelligence (AI) and Machine learning (ML) in agriculture in the last decade to make agriculture smart, easy and maximize the production with minimum resources. This paper studies the impact of new technologies and its applications in modern agriculture.

关键词： Smart agriculture Productivity Wireless sensor networks Image processing Process control Machine learning Agriculture

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HT-IDS:A Hybrid Trust Based Intrusion Detection System for Wireless sensor Networks

HT-IDS:A Hybrid Trust Based Intrusion Detection System for W...

引用

International conference on advanced Electrical Engineering (ICAEE)

作者： Ahmed Saidi Department of Mathematics and Computer Science Faculty of Exact Science University of Ghardaia Ghardaia Algeria

ISBN: (数字)9798350349351

ISBN: (纸本)9798350349368

Wireless sensor networks (WSN) are a continuously developing area of research with numerous applications. Despite their benefits, these networks present several challenges, including security problems. The trust factor is an effective strategy for securing the network against internal attacks and misbehaviour nodes. While several intrusion detection systems (IDSs) have been proposed, most of them consider either trust technique or anomaly detection technique. In this research, we suggested a hybrid intrusion detection system that takes anomaly detection techniques and trust factors into account. First, we proposed several criteria to model nodes' behaviours using multiple trust features. Then, we used the Support Vector Machine (SVM) algorithm to classify their behaviour in the network. Our simulation results demonstrate that our approach can effectively detect malicious nodes in the network.

关键词： Support vector machines Wireless communication Wireless sensor networks Simulation Intrusion detection Time measurement Security Communication system security Anomaly detection Standards

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The Internet of Bio-Nano Things — Smart Computing in the Human Body

The Internet of Bio-Nano Things — Smart Computing in the Hu...

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International conference on Smart Computing (SMARTCOMP)

作者： Stefan Fischer Institute of Telematics University of Lübeck Lübeck Germany

ISBN: (数字)9798350349948

ISBN: (纸本)9798350349955

The Internet of Bio-Nano Things (IoBNT) is an innovative field of research located at the intersection of nanotechnology, biotechnology and information and communication technologies. It aims to enable the seamless integration of biological and nanoscale systems into the Internet in order to develop advanced biomedical applications, environmental monitoring sensors and energy-efficient networks. At the core of IoBNT are biocompatible nanodevices that can function in living organisms to monitor or modify specific biological processes in real time. These devices communicate with each other and with the Internet to collect, process and transmit data, opening up entirely new possibilities for health monitoring, disease control, environmental protection and many other areas. By merging biology and nanotechnology, IoBNT promises to push the boundaries of what is technically possible while improving the efficiency and sustainability of technological solutions.

关键词： Merging Process control sensor systems and applications Nanoscale devices Real-time systems Organisms Internet

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Robust Flight Control Design Based on a sensor-based Backstepping Technique for Small Fixed-wing UAV

Robust Flight Control Design Based on a Sensor-based Backste...

引用

Artificial Intelligence, applications, Innovation and Ethics (AI2E), International conference for

作者： Mohamed Etewa Ehab Safwat Mohammed Abozied Hassan Abozied Mohamed Misbah Elkhatib Guidance Department Military Technical College Cairo Egypt Military Technological College Muscat Oman

ISBN: (数字)9798331513733

ISBN: (纸本)9798331513740

Small unmanned Aerial Vehicles (UAVs) become widely employed across various sectors, such as reconnaissance, surveillance, cargo delivery, and fire extinguishing. The effectiveness of UAV operations relies heavily on their precise and reliable flight control systems. The proposed research provides an in-depth examination of designing and implementing a flight controller for fixed-wing UAVs using the Backstepping (BKS) method. The study explores the theoretical underpinnings of BKS and its application to UAV control, focusing on overcoming the challenges associated with dynamic nonlinearities, and uncertainties inherent in UAV systems. Comprehensive simulations are performed to assess the performance of the proposed controller, showcasing its high accuracy and flexibility. The results highlight BKS's potential as an advanced nonlinear control strategy to enhance the performance and robustness of fixed-wing UAV operations in diverse applications.

关键词： Technological innovation Backstepping Uncertainty Surveillance Reliability theory Reconnaissance Autonomous aerial vehicles Robustness Vehicle dynamics Standards

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Smart Cover for Motor Vehicle with High Security System

Smart Cover for Motor Vehicle with High Security System

引用

Advancement in Electronics & Communication Engineering (AECE), International conference on

作者： Aman Kumar Vibha Kumari Basanta Mahato Taslima Ahmed Department of Electronics and Communication Engineering IIMT College of Engineering Greater Noida UP India

ISBN: (数字)9798350364729

ISBN: (纸本)9798350364736

The objective of a smart cover for motor vehicle with a high-security system alert is to provide comprehensive protection for the vehicle while leveraging advanced technology and innovative features. Such a car cover aims to shield the vehicle from external elements such as adverse weather conditions, dust, and potential physical damage. However, its key distinction lies in the incorporation of a high-security system, which includes features like real-time surveillance, alarm systems, and remote monitoring through mobile applications or connected devices. The primary goal is to deter theft, vandalism, and unauthorized access to the vehicle, ensuring the safety and security of the car and its contents. By combining the protective qualities of a car cover with cuttingedge security measures, this innovative solution offers peace of mind to vehicle owners and enhances the overall safety of their valuable assets.

关键词： Surveillance sensor phenomena and characterization Software sensor systems Real-time systems Security Automobiles Servers Remote monitoring Remote control

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AGRIDS: an advanced Multi-Modal Mapping Architecture for Robotics and Agriculture

AGRIDS: an Advanced Multi-Modal Mapping Architecture for Rob...

引用

IEEE International conference on Automation Science and Engineering (CASE)

作者： Jonathan Cox Marc Hanheide Riccardo Polvara Lincoln Centre for Autonomous Systems (LCAS) University of Lincoln UK

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

In this paper, we address the lack of standardisation in mapping and data storage in robotics and agriculture, aiming to effectively represent and store spatial, semantic, and temporal data for both applications. We propose a novel approach that integrates data from various sources, such as robotic and static sensors, to create comprehensive maps crucial for precision agriculture. Our architecture bridges the gap between robotics and agriculture domains, managing the storage of robotics sensor data and structured data. We combine technologies from context brokers, databases and object storage to integrate multi-modal data to enable more context-aware decision-making, paving the way for advancements in robotics and precision agriculture. Our proposed framework is open-source and available on our repository 1

关键词： Precision agriculture Image sensors Protocols Semantics Decision making Memory Robot sensing systems sensor systems sensors Optimization

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Cryogenic temperature sensor based on an optical fiber Fabry-Perot interferometer with high sensitivity 11

Cryogenic temperature sensor based on an optical fiber Fabry...

引用

conference on advanced sensor systems and applications XI

作者： Yang, Jiahua Dong, Xiaopeng Yin, Biao Xiamen Univ Inst Lightwave Technol Dept Elect Engn Xiamen 361005 Peoples R China

ISBN: (数字)9781510646520

ISBN: (纸本)9781510646520;9781510646513

Different from the previously reported cryogenic temperature measurement based on the fiber Bragg grating (FBG) sensor, we propose a novel cryogenic temperature measurement scheme with a fiber interferometric sensor. The proposed sensor is constructed by the extrinsic Fabry-Perot interferometer (EFPI) which is consisted of a ceramic ferrule, a copper sleeve and two fiber ends. Under the cryogenic surrounding, the cavity length of the EFPI will change with the thermal deformation of the copper sleeve. With liquid nitrogen, the surrounding temperature can be changed from 77K to room temperature, and as high as 2.246nm/K of the temperature sensitivity can be achieved at a temperature range from 113K-153K in the experiment, with a 12.38 mu m EFPI cavity. The proposed interferometric sensor will still have relatively high sensitivity at a temperature lower than 77K according to our numerical simulation, so, has good application prospect in cryogenic temperature environment.

关键词： Cryogenic temperature extrinsic Fabry-Perot interferometric temperature sensor

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Conformal Design and Fabrication of Wearable Piezoelectric sensor Array for Spatiotemporal Distribution of Arterial Pulse Waves

Conformal Design and Fabrication of Wearable Piezoelectric S...

引用

IEEE International conference on Micro Electro Mechanical systems

作者： Liyun Zhen Yueqi Zhai Xiantao Zhu Mengfei Xu Yizhi Li Jingquan Liu Bin Yang National Key Laboratory of Advanced Micro and Nano Manufacture Technology Shanghai Jiao Tong University Shanghai China Department of Micro/Nano Electronics School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China

This paper reports a wearable piezoelectric pressure MEMS sensor array for multi-site conformal sensing of pulse waves. Thinned bulk lead zirconate titanate (PZT) piezoceramic films with high performance are embedded into soft materials, allowing optimal deformability and conformality. Specifically, a spin-on polymeric adhesive is adopted to transfer uniform PZT film during bonding and releasing processes. As a result, the device of single element exhibits high sensitivity with 47.45 mV/N. Furthermore, it can capture a weak pulse with the spatial and temporal distribution without cross talk among channels, which has great potential applications in the diagnosis of cardiovascular disease.

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A Finite- Time Complementary Filter for Attitude Estimation Using Inertial sensors

A Finite- Time Complementary Filter for Attitude Estimation ...

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IEEE International conference on Unmanned systems (ICUS)

作者： Linan Wang Guanghui Wen Xiaojian Yi Xinhe Wang Geng Liu Department of Systems Science Southeast University Nanjing China School of Mechatronical Engineering Beijing Institute of Technology Beijing China School of Cyber Science and Engineering Southeast University Nanjing China China State Shipbuilding Corporation Systems Engineering Research Institute Beijing China

ISBN: (数字)9798350384185

ISBN: (纸本)9798350384192

This paper presents a novel finite-time complementary filter specifically designed for attitude and gyroscope bias estimation. The key contributions of this filter include ensuring rapid convergence to the actual attitude within a finite time, significantly improving performance over traditional filters that only guarantee asymptotic stability. The filter achieves high accuracy by effectively integrating data from multiple sensors, such as gyroscopes, accelerometers, and magnetometers, through advanced sensor fusion algorithms and noise suppression techniques. Additionally, simulation tests confirm the filter's robust resistance to noise, highlighting its potential to enhance the performance of attitude estimation systems across various applications by providing faster, more accurate, and reliable estimates.

关键词： Accuracy Magnetometers Magnetic separation Magnetic sensors Noise reduction Noise Filtering algorithms sensor fusion Gyroscopes Convergence

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