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2nd International conference on Human-Centric Smart Computing, ICHCSC 2023

2nd International Conference on Human-Centric Smart Computin...

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2nd International conference on Human-Centric Smart Computing, ICHCSC 2023

ISBN: (纸本)9789819977109

The proceedings contain 53 papers. The special focus in this conference is on Human-Centric Smart Computing. The topics include: Securing Data Based on Lightweight Algorithm for Internet of Things Networks;an Exploration of How Children Can Be Proactive for Their Own Digital Privacy and Security in the Perspective of North-Eastern Bangladesh;A Scalable URL-Based Phishing Websites Detection System Using Machine Learning Techniques;accident Detection and Prevention for advanced Driver Assistance System;labor Safety Analysis Using Object Recognition and Deep Learning;diagnosis of Faults in Wireless sensor Networks Through Machine Learning Approach;career Change: Systematic Literature Review and Future Research Agenda;prediction of Heart Disease and Improving Classifier Performance Using Particle Swarm Optimization;Registration of CT Images of Lung Using Fireworks Algorithm;Exploring Artificial Neural Network for X-Parameter and S-Parameter Modelling of HEMT;Exploratory Review of applications of Machine Learning for Small- and Medium-Sized Enterprises (SMEs);Bank’s Efficiency & The Liquidity Coverage Ratio (LCR) of Indian Banks: Using Data Envelopment Analysis Approach;a Comparative Analysis of Eye Movement and Gaze Tracking Algorithms;response Surface and Artificial Neural Network Simulation Used in Dissolution Enhancement of Poorly Soluble Lornoxicam Using Microwave-Assisted Solid Dispersion Technique;Optimizing Analysis of Donepezil HCl and Memantine HCl Using Multivariate Analysis as a Data Mining Tool in HPTLC Methodology;applying a Privacy Policy for E-Waste Management in Bangladesh;spider Monkey Optimization-Based Image Data Forgery Detection Over Vehicular Cloud Computing;Two-Stage ASL Detection Architecture: A Hand Sign Languages Detection Scheme;retinal Vessel Segmentation Using a Novel U-Net Architecture with Data Augmentation.

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A Review on Resource Allocation Methodologies in Fog/Edge Computing 8

A Review on Resource Allocation Methodologies in Fog/Edge Co...

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8th International conference on Smart Structures and systems, ICSSS 2022

作者： Majumder, Darpan Mohan Kumar, S. New Horizon College of Engineering Visvesvaraya Technological University Bangalore India School of Engineering and Technology Cmr University Karnataka Bangalore India

ISBN: (纸本)9781665497619

Off late we have seen an increase in the usage of IOT devices in various domains. Such devices are equipped with advanced data sensors that can gather environmental data, processing it to certain extent and transmitting them back to backend devices. This is possible due to reduction in computation cost, easy access to Wireless Technologies and a plethora of sensors being made available to the end user. However, one of the open challenges in this regard is to be able to be complete the assigned task reliably within a specific period to be able to satisfy the latency requirements of latency sensitive applications. Since the IOT devices generally tend to have a limited amount of computing resource, it needs support from the backend computing machines that can perform a part of the heavy computation. In most cases these back end devices remain in the edge of the network are not offloaded to the cloud as high network latency is introduced otherwise. This makes Edge computing an ideal choice for Latency sensitive IOT applications. In this research paper we will be exploring the IOT based Edge Computing applications and Machine Learning Tools that are used for the same. © 2022 IEEE.

关键词： Wireless communication Wireless sensor networks Software algorithms Collaborative work sensors Resource management Internet of Things

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Mm-wave wireless sensor networks with zero energy consumption through backscattering metasurfaces

Mm-wave wireless sensor networks with zero energy consumptio...

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International conference on Electromagnetics in advanced applications (ICEAA)

作者： F. Costa S. Genovesi S. Rodini G. Manara Dipartimento di Ingegneria dell’Informazione Università di Pisa Pisa

ISBN: (数字)9798350360974

ISBN: (纸本)9798350360981

The future of 6 G communications emphasizes a deep understanding of human environments for improved quality of life and work efficiency. IoT sensors will play a crucial role, gathering extensive data about living environments for tasks like environmental monitoring and structural oversight [1]. The success of these systems hinges on cost-effectiveness, energy efficiency, and minimal maintenance requirements. Traditional IoT sensors, despite advancements, still face challenges such as power consumption and limited lifespans, particularly in indoor settings where energy harvesting is difficult. RFID sensors offer potential with their ability to transmit data without additional power, but their cost and reliability in harsh environments pose barriers to widespread adoption [2].

关键词： Wireless sensor networks Power demand Fasteners Metasurfaces sensors Maintenance Environmental monitoring Energy harvesting Faces Radiofrequency identification

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3D Object 360-Degree Motion Detection Using Ultra-Frequency PIR sensor

3D Object 360-Degree Motion Detection Using Ultra-Frequency ...

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2023 IEEE World conference on Applied Intelligence and Computing, AIC 2023

作者： Mahajan, Yash Shandilya, Deepak Batta, Priya Sharma, Muskan Chandigarh University Department of Computer Science and Engineering Mohali India

ISBN: (纸本)9798350310061

This research paper introduces a groundbreaking 3D object 360 motion detection system that employs radiation-based active motion detectors. These sophisticated detectors emit electromagnetic waves and meticulously measure the energy differentials pre and post-reflection to discern motion. The system further harnesses the power of wavelet representation for object recognition amidst crowded scenes, harnessing the prowess of dimensionality reduction and support vector machines for efficient and effective learning. Additionally, the paper explores advanced shape detection techniques, encompassing cutting-edge edge detection and precise geometric parameter estimation. It delves into the efficacy of frame subtraction and background subtraction as highly adaptable motion detection methodologies. The study also sheds light on the merits and demerits of diverse motion detection technologies, encompassing infrared sensors, video motion detection, thermal imaging cameras, and radar systems. Through its comprehensive analysis, this research paves the way for future investigations aimed at enhancing accuracy and performance in 3D object 360 motion detection, thus catering to the evolving needs of security and surveillance applications. © 2023 IEEE.

关键词： Object recognition

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5th International conference on Data and Information Sciences, ICDIS 2023

5th International Conference on Data and Information Science...

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5th International conference on Data and Information Sciences, ICDIS 2023

ISBN: (纸本)9789819969050

The proceedings contain 45 papers. The special focus in this conference is on Data and Information Sciences. The topics include: bSafe: A Framework for Hazardous Situation Monitoring in Industries;comparative Review of Different Techniques for Predictive Analytics in Crime Data Over Online Social Media;An Approach Towards Modification of Playfair Cipher Using 16 $$\times $$ 16 Matrix;Real and Fake Job Classification Using NLP and Machine Learning Techniques;an Improved Privacy-Preserving Multi-factor Authentication Protocol for Wireless sensor Networks;blockchain-Powered Crowdfunding: Assessing the Viability, Benefits, and Risks of a Decentralized Approach;geospatial Project: Landslide Prediction;yoga Pose Identification Using Deep Learning;predicting Size and Fit in Fashion E-Commerce;A Novel Image Captioning Approach Using CNN and MLP;Multimodal Authentication Token Through Automatic Part of Speech (POS) Tagged Word Embedding;sensitive Content Classification;online Social Networks: An Efficient Framework for Fake Profiles Detection Using Optimizable Bagged Tree;Exploring Risk Factors for Cardiovascular Disease: Insights from NHANES Database Analysis;Review of Local Binary Pattern Histograms for Intelligent CCTV Detection;Enhancing Machine Learning Model Using Explainable AI;ioT-Assisted Mushroom Cultivation in Agile Environment;a Comprehensive Survey of Machine Learning Techniques for Brain Tumor Detection;current Advances in Locality-Based and Feature-Based Transformers: A Review;a Systematic Review on Detection of Gastric Cancer in Endoscopic Imaging System in Artificial Intelligence applications;route Optimizations Using Genetic Algorithms for Wireless Body Area Networks;propchain: Decentralized Property Management System;criminal Prevision with Weapon Identification and Forewarning Software in Military Base;advanced Cyber Security Helpdesk Using Machine Learning Techniques.

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Implementation of a 3D Indoor Positioning System Using MLP-based Distance Estimation for IoT applications

Implementation of a 3D Indoor Positioning System Using MLP-b...

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2022 International conference on Electrical Engineering, Computer and Information Technology, ICEECIT 2022

作者： Bengherbia, Billel Bougheriza, Mohamed El Amine Bouhedda, Mounir Tobbal, Abdelhafid Toubal, Abdelmoughni Hentabeli, Hamza University Yahia Fares of Medea Research Laboratory in Advanced Electronics Systems Lsea Medea Algeria Tipaza Kolea Algeria

ISBN: (纸本)9781665493529

Wireless sensor network (WSN) indoor location systems are based on effective distance estimation between the target node and anchors to find the node's precise location. Almost all low-cost wireless devices use the received signal strength indicator (RSSI) metric for estimating distance. This study aims to minimise the error in the estimated distance between the anchor nodes and the target node by proposing a model based on an Artificial Neural Network (ANN) for determining the distance using the RSSI. The proposed model was used to apply 3D indoor localisation. ANN is implemented in an Esp32 embedded system to make it compatible with WSN and IoT applications by using the TinyML approach for designing and implementing an efficient base station. The results show that the time required for the indoor localisation process does not exceed 40 ms, which is a very promising result for real-time localisation applications. © 2022 IEEE.

关键词： Indoor positioning systems

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Reinforcement Learning for Mobile Robot's Environment Exploration

Reinforcement Learning for Mobile Robot's Environment Explor...

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Robotics and Technologies for Industrial Automation (ROBOTHIA), IEEE International conference on

作者： Saif Alahdal Nasr Abdalmanan Kamarulzaman Kamarudin Muhammad Aizat Abu Bakar Mohd Rizal Manan Ahmad Shakaff Ali Yeon Syed Muhammad Mamduh Faculty of Electrical Engineering & Technology Universiti Malaysia Perlis Arau Malaysia Center of Excellence for Advanced Sensor Technology Faculty of Electrical Engineering & Technology Universiti Malaysia Perlis Arau Malaysia Faculty of Electrical Engineering & Technology Universiti Malaysia Perlis Perlis Malaysia Center of Excellence for Advanced Sensor Technology Universiti Malaysia Perlis Arau Malaysia

ISBN: (数字)9798350356755

ISBN: (纸本)9798350356762

The field of mobile robotics has become increasingly significant in today's technology-driven world, with applications ranging from autonomous vehicles to automated delivery systems. This project aims to enhance the capabilities of mobile robots in navigating and exploring unfamiliar environments by developing and implementing a Reinforcement Learning (RL) model. The core objective is to enable these robots to autonomously explore, navigate, and adapt to new surroundings efficiently. By integrating the RL model into a mobile robot using the Robot Operating System (ROS), the project evaluates the system's efficiency through comprehensive ground experiments. The research compares the RL-based approach with established exploration methods, emphasizing the effectiveness of the Value Iteration algorithm, a dynamic programming algorithm for Markov Decision Processes (MDPs). Controlled experiments conducted in a 6×3 meter flat space with static obstacles and a 2D lidar sensor provide valuable insights into the RL model's performance and potential real-world applications. The findings highlight the advantages of the Value Iteration algorithm over traditional exploration methods, demonstrating its potential for improving autonomous robotic navigation and exploration.

关键词： Adaptation models Accuracy Service robots Heuristic algorithms Reinforcement learning Robot sensing systems Robustness Dynamic programming Mobile robots Robots

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Design of a Chemoresistive sensor Array for Potential Smart Agriculture applications

Design of a Chemoresistive Sensor Array for Potential Smart ...

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2023 Smart systems Integration conference and Exhibition, SSI 2023

作者： Pachiu, C. Simionescu, O. Serban, B. Parvulescu, C. Marinescu, R. Dumbravescu, N. Negoita, F. Popa, R. Buiu, O. Serbanescu, M. Pristavu, Gh. Brezeanu, Gh. National Institute for R&d in Microtechnologies Molecular Nanotechnology Laboratory Bucharest Romania National Institute for R&d in Microtechnologies Laboratory for Carbon Based Nanotechnologies and Nanostructures Bucharest Romania National Institute for R&d in Microtechnologies Reliability Laboratory Bucharest Romania Telecommunications and Information Technology University Politehnica of Bucharest Faculty of Electronics Bucharest Romania

ISBN: (纸本)9798350325065

The present paper presents the current achievements of a joint, multidisciplinary research group in developing a set of smart chemoresistive sensors. Based on the experience gathered in developing and testing relative humidity and alcohol chemoresistive sensors, our main objective is developing a series of chemoresistive smart sensors, that could be manufactured employing standard CMOS tools, in conjunction with the direct, inkjet printing like techniques. The results presented here focus on the optimization of nanocrystalline CVD based graphene layers, through exposure to different fluorine based plasmas and the structural changes induced and with relevance for their further use as chemoresistve sensors. © 2023 IEEE.

关键词： Graphene

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The Implementation of the "My Parking" Application as a Tool and Solution for Changing the Old Parking System to a Smart Parking System in Indonesia 1

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International conference on Innovative Technologies in Intelligent systems and Industrial applications, CITISIA 2022

作者： Harahap, Anisah El Hafizha Sardjono, Wahyu Information Systems Management Department BINUS Graduate Program Bina Nusantara University Jakarta11480 Indonesia

ISBN: (数字)9783031290787

ISBN: (纸本)9783031290770

Nowadays with globalization and digitalization, many companies change their business process from conventional business to digital-based business. It aims to shorten and simplify business processes and also to avoid fraud that can occur. It’s the same with the parking system in Indonesia, by taking the advantage of advanced technology to create a better parking system, a smart parking system can be implemented in Indonesia. To be specific by using the Internet of Things or IoT, a sensor system, and developing an application that can be accessed and used by the driver as a user to make a reservation of parking space. Came along with that problem, the existence of "My Parking" can be the problem solver, and with the My Parking innovation as an application to implement a smart parking system in Indonesia, it is hoped that it can help both the community and the government in building a smart city in Indonesia which will lead Indonesia to become a developed country. The purpose of this paper is to visualize the My Parking Apps starting from the flowchart diagram to the User Interface of the apps. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： User interfaces

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Nanostructure-Based Highly Sensitive and Reliable Piezo-Transmittance Strain sensor and Integrated System

Nanostructure-Based Highly Sensitive and Reliable Piezo-Tran...

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IEEE International conference on Micro Electro Mechanical systems

作者： Myung-Kun Chung Su-Min Jeon Jae-Soon Yang Jae-Young Yoo Min-Uk Kim Beom-Jun Kim Tae-Yeon Lee Min-Seung Jo Jun-Bo Yoon School of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) Republic of Korea Department of Semiconductor Convergence Engineering Sungkyunkwan University (SKKU) Republic of Korea Center for Bio-Integrated Electronics Northwestern University Evanston IL USA

ISBN: (数字)9798331508890

ISBN: (纸本)9798331508906

Advancements in human-machine interaction, health monitoring, and robotics have led to increasing demand for reliable strain sensors. Of the various flexible sensors, piezo-transmittance strain sensors adjust their optical transmittance in response to strain and can overcome limitations seen in other sensor types. However, current piezo-transmittance strain sensors face challenges related to controllability and applicability, as well as constraints from bulky designs and complex wired connections. This paper reports a highly sensitive, reliable, and mechanically durable piezo-transmittance strain sensor that addresses these challenges. In addition, we propose a simple, wireless integrated sensor system that eliminates the need for bulky and complex wiring, offering a practical solution for human motion detection applications.

关键词： Wireless communication Micromechanical devices Human computer interaction Wireless sensor networks Materials reliability Capacitive sensors sensor systems Optical sensors Monitoring Strain

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