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23 results for “Human Area Network”
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Research ArticleOpen accessPhrase in the titleASYNCHRONOUS TIME ENCODER BASED QUASI-STATIC MODELLING FOR HUMAN AREA NETWORK IN VANETR. Vimal Karthick, G. S. Raj, R. Srinivasan et al.Power constraints play a key role in designing Human Area Networks (HANs) for bio authentication vehicle based on driver's identity. To alleviate the power constraints, we advocate a design that uses an asynchronous time encoding mechanisms for representing bio authentication information and the skin surface as the communication channel. Time encoding does not require a clock while allows perfect signal … …Journal of Computer Science, Vol. 10, Issue 11 · 20 Dec 2014 · 8,060 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPerformance of Energy Detection and Matched Filter Receivers in Human Body Communication ChannelMohamad Abou El-Nasr, Heba Shaban, Mohammed Al-AbyadhThis study studies the Bit-Error-Rate (BER) performance of matched filter and energy detection receivers in Human Body Communication (HBC) channel model. HBC, as defined by the IEEE 802.15 Task Group (TG) 6, is a Body Area Network (BAN) at frequency band 5-50 MHz, where communication is from body surface to body surface. The Bit-Error-Rate (BER) performance is investigated for Energy … …American Journal of Applied Sciences, Vol. 9, Issue 12 · 5 Jan 2013 · 6,694 accessesView PDFCite
Research ArticleOpen accessIn the abstractEdge Computing Enabled Human Activity Recognition (ECEHAR) Using LSTM and CNNSuresh Kumar, M Y. Mohamed ParveesHuman Activity Recognition (HAR) is an important research area for various application domains such as healthcare, gaming, telemonitoring, and sports. However, executing HAR algorithms on remote servers or in the cloud have challenges in terms of high latency, increased bandwidth demand, and high energy consumption. Moving the computation to edge-assisted HAR is more effective and flexible solution to address the … …Journal of Computer Science, Vol. 22, Issue 3 · 6 Mar 2026 · 1,578 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Occlusion Aware Facial Expression Recognition Model Using Fitness Based Cheetah Optimizer and Adaptive Multi-Scale ViT-CNN With Attention MechanismA. Reddy Prasad, A. RajeshAs a highly nuanced aspect of human communication, facial expression recognition presents a computationally complex problem, making it a prominent area of research in computer vision and affective computing. Problems like poor image quality, occlusions, inconsistent illumination, and head attitude changes are frequently observed in images taken from unstructured sources such as the internet that affect the accuracy of facial … …Journal of Computer Science, Vol. 21, Issue 12 · 29 Jan 2026 · 1,962 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Facial Emotion Recognition Using DCNN-ELM: A Comprehensive Approach to Preprocessing, Feature Extraction and Performance EvaluationBoopalan K., Satyajee Srivastava, K. Kavitha et al.As a subfield of affective computing, Facial Emotion Recognition (FER) teaches computers to read people's facial expressions to determine their emotional state. Because facial expressions convey 55% of an individual's emotional and mental state in the whole range of face-to-face communication, Facial Emotion Recognition is crucial for connecting humans and computers. Improvements in the way computer systems (robotic systems) interact … …Journal of Computer Science, Vol. 21, Issue 1 · 30 Nov 2024 · 5,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Reliability of Routing Protocols as an Important Factor for Road Safety Applications in VANET-based Autonomous CarsAnanto Tri Sasongko, Grafika Jati, Bob Hardian, Wisnu JatmikoThe autonomous cars are considered as a tremendous disruptive innovation in the coming years. They enable a driving automation system to replace human drivers to control the vehicle with better recognition, decision and driving skills and ultimately enhance the road users’ experience and traffic safety. They can communicate with other cars as they are ready with the Vehicle to Vehicle … …Journal of Computer Science, Vol. 16, Issue 6 · 15 Jun 2020 · 7,420 accessesView PDFCite
Research ArticleOpen accessIn the abstractLandslide Susceptibility Analysis Using Numerical and Neural Network, Near Kedarnath, Uttarakhand, IndiaVinay Kumar Singh, Tariq Anwar Ansari, Vikram Vishal, T.N. SinghThe major concern in hilly regions is the stability of those slopes, which have been proclaimed due to unplanned excavation and uneven blasting during road widening and development activity. These slopes again become more vulnerable under dynamic loading and/or various types of human involvement, heavy rainfall and seismic activity. Failure of these slopes leads to loss of property and human … …American Journal of Environmental Sciences, Vol. 16, Issue 1 · 9 Mar 2020 · 7,772 accessesView PDFCite
EditorialOpen accessIn the abstractVolume 4: Face-to-Face with SGAMR-2020 AwardeesChiara Bedon, Mario D’Aniello, Flavio Stochino…New Year and new results for the SGAMR community!! The year 2021 begins with the announcement of Awardees for the first (ongoing) edition of SGAMR awards for Young Investigator (SGAMR-YRA-2020), Best Paper (SGAMR-BPA-2020) and Outstanding Reviewer (SGAMR-ORA-2020)!! In this editorial, we want further to congratulate the Winners, but also present them to our Readers, Supporters, Authors, Reviewers as well as … …International Journal of Structural Glass and Advanced Materials Research, Vol. 5, Issue 1 · 15 Feb 2021 · 7,183 accessesView PDFCite
Research ArticleOpen accessIn the abstractAUTOMATIC MUSIC EMOTION CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK BASED ON VOCAL AND INSTRUMENTAL SOUND TIMBRESMudiana Binti Mokhsin, Nurlaila Binti Rosli, Suzana Zambri et al.Detecting emotion features in a song remains as a challenge in various area of research especially in Music Emotion Classification (MEC). In order to classify selected song with certain mood or emotion, the algorithms of the machine learning must be intelligent enough to learn the data features as to match the features accordingly to the accurate emotion. Until now, there … …Journal of Computer Science, Vol. 10, Issue 12 · 29 Dec 2014 · 8,527 accessesView PDFCite