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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

共 30822 条记录，以下是1761-1770 订阅

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Proceedings of the 2022 ieee international conference on Dependable, Autonomic and Secure computing, international conference on Pervasive Intelligence and computing, international conference on Cloud and Big Data computing, international conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022

Proceedings of the 2022 IEEE International Conference on Dep...

引用

20th ieee international conference on Dependable, Autonomic and Secure computing, 20th ieee international conference on Pervasive Intelligence and computing, 7th ieee international conference on Cloud and Big Data computing, 2022 ieee international conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022

ISBN: (纸本)9781665462976

The proceedings contain 185 papers. The topics discussed include: wearable IMU based gait quality quantitative evaluation method;quantum computing approach for energy optimization in a prosumer community;raising citizens and institutions awareness of environmental problems using smart sensing technologies;event detection in financial markets;design-space exploration of quantized transposed convolutional neural networks for FPGA-based systems-on-chip;seamless sensor data acquisition for the edge-to-cloud continuum;occupancy prediction in buildings: an approach leveraging LSTM and federated learning;lightweight model by iterative momentum pruning scheme for channel reduction;a deep reinforcement learning based approach for intelligent reconfigurable surface elements selection;exploiting mobility data to forecast Covid-19 spread;machine learning methods for microwave imaging in cancer detection;and physical activity recognition using deep transfer learning with convolutional neural networks.

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Flexible Topological Control for Underwater Optical Wireless sensor Networks

Flexible Topological Control for Underwater Optical Wireless...

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international conference on distributed computing systems

作者： Yang Chi Chi Lin Yu Tian Lei Wang School of Software Technology Dalian University of Technology Dalian China Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province Dalian China

Underwater Optical Wireless sensor Network (UOWSN) is a promising technology as it can achieve high-speed communication in underwater environment. However, affected by the uncertainty of complex underwater environment, the network topology of UOWSN is highly dynamic, making it difficult to quantify flexibility or further optimize the topological structure. In this paper, we propose a flexibility-based network topology evaluation model (FEM) for UOWSNs. Then, a reinforcement learning model, termed FEM-DRL, for optimizing the network topology based on FEM is developed, which enables UOWSN to maintain an optimal topology when working in harsh underwater environments. Simulation results demonstrate that the proposed method can significantly improve the network flexibility and reduces the time cost for constructing network topology by 41.8% compared with baseline algorithms. Test-bed experiments verify the applicability and effectiveness in practical applications for detecting emergent events.

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distributed Attacks Classification Based on Radical Basis Function and Particle Swarm Optimization In Hypervisor Layer 6

Distributed Attacks Classification Based on Radical Basis Fu...

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6th international conference on Information systems and Computer Networks, ISCON 2023

作者： Shukla, Aditya Kumar Sharma, Ashish GLA University Department of Computer Engineering and Applications UP Mathura India

ISBN: (纸本)9798350346961

The term 'cloud computing' refers to a concept for on-demand provisioning of computer resources (including hardware and software) through the Internet. Cloud computing's primary benefits lie in the time and money savings it may provide to IT departments. While cloud computing offers many benefits It also raises many safety considerations. These include data privacy, data availability, data placement, data security credential, license, access management, network security, web data protection, virtual devices protection, etc. Recently, machine learning has shown to be an effective tool for safeguarding the cloud. In order to automate the process of identifying cloud assaults with better accuracy than any other technology, machine learning algorithms are trained on numerous legitimate datasets to develop models. To mitigate the effects of DDoS invasions, our research suggests implementing a detection method at the hypervisor layer. As a means of detecting and categorizing DDoS attacks in the communication between virtual computers, the suggested detection method combines the particle swarm optimization (PSO) with radial basis function (RBF). High classification accuracy against DDoS attacks is the focus of our investigation and recommended method.. © 2023 ieee.

关键词： Data privacy

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Optimizing Irregular-Shaped Matrix-Matrix Multiplication on Multi-Core DSPs

Optimizing Irregular-Shaped Matrix-Matrix Multiplication on ...

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ieee international conference on Cluster computing (CLUSTER)

作者： Yin, Shangfei Wang, Qinglin Hao, Ruochen Zhou, Tianyang Mei, Songzhu Liu, Jie Natl Univ Def Technol Sci & Technol Parallel & Distributed Proc Lab Changsha 410073 Peoples R China Natl Univ Def Technol Coll Comp Changsha 410073 Peoples R China

ISBN: (数字)9781665498562

ISBN: (纸本)9781665498562

General Matrix Multiplication (GEMM) has a wide range of applications in scientific simulation and artificial intelligence. Although traditional libraries can achieve high performance on large regular-shaped GEMMs, they often behave not well on irregular-shaped GEMMs, which are often found in new algorithms and applications of high-performance computing (HPC). Due to energy efficiency constraints, low-power multicore digital signal processors (DSPs) have become an alternative architecture in HPC systems. Targeting multi-core DSPs in FT-m7032, a prototype CPU-DSPs heterogeneous processor for HPC, an efficient implementation - ftIMM - for three types of irregular-shaped GEMMs is proposed. FtIMM supports automatic generation of assembly micro-kernels, two parallelization strategies, and auto-tuning of block sizes and parallelization strategies. The experiments show that ftIMM can get better performance than the traditional GEMM implementations on multi-core DSPs in FT-m7032, yielding on up to 7.2x performance improvement, when performing on irregular-shaped GEMMs. And ftIMM on multi-core DSPs can also far outperform the open source library on multi-core CPUs in FT-m7032, delivering up to 3.1x higher efficiency.

关键词： Matrix-matrix multiplication Irregular-shaped matrix DSPs Performance optimization

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IoT Assisted Fisherman Aid to Detect Borders and Alert System by using Intelligent GPS Technology

IoT Assisted Fisherman Aid to Detect Borders and Alert Syste...

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2023 international conference on Innovative computing, Intelligent Communication and Smart Electrical systems, ICSES 2023

作者： Ramesh, A.P. Nithya Paranthaman, R. Porkodi, M. Aruna, V. Rohini, S. Sri Ramakrishna College of Arts and Science Department of ECS Coimbatore India SRM Institute of Science and Technology School of Computing College of Engineering & Technology Department of Networking and Communication Chennai India Sona College of Technology Department of EEE Salem India Panimalar Engineering College Department of ECE Chennai India R.M.K. Engineering College Department of Computer Science Chennai India

ISBN: (纸本)9798350319200

The safety of fisherman will be improved with the use of technology such as the Global Positioning System (GPS) and Wireless sensor Networks (WSN), which will be employed in this project. The GPS may be used to track exactly where the boat is at any given time. In the event that the fisherman ventures outside of the permitted region, the alarm will sound. The user or owner of the vessel is able to monitor the location of the vessel in reference to known dimensions (latitude and longitude) by making use of the vessel's own electrical equipment and software that has been specifically created for this purpose. If a person has a GPS receiver, they will be able to pinpoint their exact location on a digital map. The relay circuit on the boat will give it the ability to turn around. Technology based on wireless sensor networks might be used to transmit communication between the fisherman and the Internet of Things device. The fishermen are alerted when they get close to the first two borders by a loudspeaker (which acts as a siren) and an indicator that has an LCD. In the event that the warning system is unsuccessful, there is a backup option. The boat's engine will automatically turn off when it gets closer to the third border as it travels. Now, both the government of India and the government of Sri Lanka would have access to identical data on the fishermen. © 2023 ieee.

关键词： Alert System Fisherman Border Detection Intelligent GPS Technology Internet of Things IoT Wireless sensor Network WSN

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CSS: Built-In Channel State Scrambling for Secure Wi-Fi Based Sensing

CSS: Built-In Channel State Scrambling for Secure Wi-Fi Base...

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international conference on distributed computing systems

作者： Xiao Deng Dongyu Xia Xun Wang Shuyu Shi Wei Wang State Key Laboratory for Novel Software Technology Nanjing University Nanjing China

ISBN: (数字)9798350386059

ISBN: (纸本)9798350386066

This paper proposes CSS, a built-in channel state scrambling scheme to provide always-on protection for channel state information. CSS uses randomly generated scrambling vectors to emulate human activities, preventing eavesdroppers from recovering human physical activity from the channel state. By carefully designing the scrambling scheme based on physical channel models, we ensure that legacy receivers can successfully decode the frames and all frames transmitted over the air are scrambled. Furthermore, legitimate Wi-Fi sensors can still recover the true activity with a pre-shared secret key. Implementation on a real communication system shows that CSS can retain the same frame-error rate for commercial wireless receivers while misleading eavesdroppers with a success rate of over 95%.

关键词： Wireless communication Wireless sensor networks Receivers Vectors sensor systems OFDM modulation sensors

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Evaluation of a Depth Camera as e-Health sensor for Contactless Respiration Monitoring

Evaluation of a Depth Camera as e-Health Sensor for Contactl...

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2023 ieee international conference on Pervasive computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023

作者： Brinkmann, Steffen Kempfle, Jochen Van Laerhoven, Kristof Pohler, Jonas University Medical Center Hamburg-Eppendorf University of Hamburg Hamburg Germany University of Siegen Ubiquitous Computing Siegen Germany

ISBN: (纸本)9781665453813

We evaluate a contact-free method to observe the breathing behavior of persons seated in front of a desktop environment, with an RGB-D camera attached to the screen. Our system monitors the breathing-induced movement of the user's chest, delivering a respiration curve from the camera depth stream by mean- or median-based averaging of single-distances to pixels in the target body region over time. The system was evaluated in an experiment on 8 study participants. The mean-based respiratory rate estimation presented fewer errors and the system works best at close proximity. At 1m distance, it presents a correlation to a respiration belt as ground truth of 0.94 and an absolute error of 0.04bpm. From our data, no influence on the performance of the system was found by gender or different respiration rate. The final system does not require extensive knowledge to set up and operate. The approach allows users to monitor their breathing rate while working, opening up new e-health application areas. They range from self-care and healthcare to managing operators in safety-critical systems such as control rooms, since the respiratory rate is closely linked to a person's state of attention. © 2023 ieee.

关键词： Cameras

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Enhancing Intrusion Detection in Wireless sensor Networks Using Deep Learning-Based K-Barriers Prediction

Enhancing Intrusion Detection in Wireless Sensor Networks Us...

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2023 international conference on Self Sustainable Artificial Intelligence systems, ICSSAS 2023

作者： Ganga Bhavani, T. Chokkalingam, S.P. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India

ISBN: (纸本)9798350300857

For wireless sensor networks (WSNs) to remain secure, effective intrusion detection is a vital requirement. This research work enhances a feed-forward artificial neural network (ANN) based on deep learning as a novel approach to intrusion detection. The proposed approach focuses on precisely forecasting the count of k-barriers, which is essential for efficient intrusion detection and mitigation. Important characteristics, such as the region of interest, sensor sensing area, sensor count, and sensor sensing transmission area, all derived via Monte Carlo simulation, are utilize to train and evaluate the model. The model successfully estimates k-barrier counts, which is demonstrated by the achieved Root Mean Square Error and correlation coefficients. A conditional generative adversarial network (CGAN) based intrusion detection system and an extreme gradient boosting (XGBoost) classifier for quick result comparison and visualization are developed to further increase the system's effectiveness. The suggested approach has the ability to drastically reduce false alarms and eliminate the requirement for additional sensors to produce false data. The created deep learning architecture uses a fully linked feed-forward ANN with a focus on quick intrusion detection and prevention. Through thorough training and evaluation, this ANN achieves amazing accuracy in predicting k-barrier counts. Comparative assessments demonstrate the suggested method's advantage in terms of precision and computational effectiveness, supporting its value in enhancing wireless sensor network security. © 2023 ieee.

关键词： Wireless sensor networks

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An Approach to design Keyboard and Mouse assisting device for handicap users

An Approach to design Keyboard and Mouse assisting device fo...

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ieee international IOT, Electronics and Mechatronics conference (IEMTRONICS)

作者： Hameed, Kamran Ali, Syed Mehmood Ali, Uzma Imam Abdulrahman Bin Faisal Univ Dept Biomed Engn Dammam Saudi Arabia Imam Abdulrahman Bin Faisal Univ Dept Publ Hlth Dammam Saudi Arabia

ISBN: (纸本)9781665486842

The main idea is to develop an intelligent computing system for disabled people, especially handicapped people who are willing to use a computer for their us-age purpose. Still, due to their disability, they can't use it. Nowadays, engineers try to make some equipment to solve this problem because this century is the computer century. The usage of the computer nowadays is very important. A person needs to use computers for their office purpose, education, and communication. A normal person can do this easily, but a disabled person, especially handicapped people, can't do this. This is a hard situation for a handy cap person because He also needs to communicate with the world. The proposed design can help handicapped peoples use computers for their usage purpose. Intelligent computing System (ICS) is based on two units one is a head unit which contains a LASER which is used as a remote control, the other unit is ground unit which contains LDR sensor-based keyboard, controlling circuits may assets in performing the whole functionality of the ICS system by providing the instructions through the coding directed by PIC Controller which sending the data to the computer through MAX233 IC. The proposed LDR-based-matrix keyboard system sensor was sensitive enough to detect laser light which was tested on ten different users and shown promising accuracy;for future enhancement in order to use this device as a commercial device, instead of LDR matrix, we can, or the fabrication industry can fabricate LDR matrix during the fabrication process, to minimize the size of the system in order to save the power consumption of the system and may also allow a handicap people to use a computer and communicate with the world and gain knowledge and information just like a normal people.

关键词： Intelligent computing systems handy capped assistive device LDR sensor matrix keyboard and matrix mouse

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Early Fault Detection in Solar Panels Using Machine Learning 8

Early Fault Detection in Solar Panels Using Machine Learning

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8th international conference on Advanced computing and Communication systems, ICACCS 2022

作者： Abinaya, M. Shanthi, S. Subha, R. Sri Eshwar College of Engineering Department of Computer Science and Engineering TamilNadu Coimbatore India

ISBN: (纸本)9781665408165

Monitoring and detecting the set of solar panels using a Wireless sensor Network (WSN) is our main aim of this project. Here we have illustrated an effective implementation of an intelligent remote monitoring system for wind turbine and solar PhotoVoltaic (PV) Power Conditioning Unit (PCU) which is used in a greenhouse environment. Nowadays, with the development of sensor technology, it is a very viable option to connect the wind turbine system and the solar energy to the cloud with the help of the Internet of Things. Once these systems are connected to the cloud, the productivity, efficiency and performance of the system can be calculated easily. The result of our manifestation shows that the system can manipulate and monitor data from solar PV PCU and wind turbines. The automatic remote monitoring systems are recognized in real-time. Also, we integrate the data analysis, production and pricing using R-programming. Finally, the predicted output is passed using *** (web services). Keywords: © 2022 ieee.

关键词： Wireless sensor networks

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