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2021 7th IEEE international conference on advances in computing, communication and control, ICAC3 2021

2021 7th IEEE International Conference on Advances in Comput...

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7th IEEE international conference on advances in computing, communication and control, ICAC3 2021

ISBN: (纸本)9781665426343

The proceedings contain 56 papers. The topics discussed include: efficacy measuring framework for the assessment of dynamic honeypot;campus safety and hygiene detection system using computer vision;semantic segmentation in immunohistochemistry breast cancer image using deep learning;drowsiness detection for drivers;comparative analysis of deep learning techniques for credit card fraud detection;a comparative study of amazon product reviews using sentiment analysis;a proposed approach to check project idea similarity using topic modelling;credit card fraud detection using machine learning;monitoring state of mind using natural language processing;glaucoma identification based on segmentation and fusion techniques;interactive map application for real-time crime reporting;movie recommender system using critic consensus;and designing and analysis of an unmanned aerial vehicle without propulsion and developing an autonomous navigation system using reinforcement learning.

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Integrating Instruction-based Learning with Bidirectional LSTM for Autonomous Vehicle Pedestrian Detection

Integrating Instruction-based Learning with Bidirectional LS...

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Multi-Agent Systems for Collaborative Intelligence (ICMSCI), international conference on

作者： B Shoba T Raghunathan S.Sam Peter Karthick K Akshya. J M. Sundarrajan Mani Deepak Choudhry Department of Electronics and Communication Engineering PSN College of Engineering and Technology Tirunelveli Department of Artificial Intelligence and Data Science Dr.NG.p.Institute of Technology Coimbatore Department of Computer Science and Engineering Sri Krishna College of Technology Coimbatore Department of Information Technology Sona College of Technology Salem Department of Computational Intelligence SRM Institute of Science and Technology Chennai Department of Networking and Communications SRM Institute of Science and Technology Chennai Department of Computing Technologies SRM Institute of Science and Technology Chennai

ISBN: (数字)9798331509828

ISBN: (纸本)9798331509835

Pedestrian detection is a crucial aspect of autonomous vehicle (A V) safety, as it enables accurate identification and tracking of individuals in an A V environment. Effective pedestrian detection supports essential A V functions like braking, steering, and speed control to prevent accidents in urban settings. Traditional computer vision methods, such as Support Vector Machines and Random Forests, rely on pre-designed features like the Histogram of Oriented Gradients. While the existing techniques offer some performance, it face significant challenges in dynamic environments, especially under varying lighting conditions, occlusions, and diverse pedestrian poses. Traditional models also require extensive manual feature engineering and tuning, which limits scalability and adaptability. Recent advances in deep learning, particularly with Convolutional Neural Networks (CNNs), have allowed for automatic feature learning, yielding practical improvements over classical methods. However, CNNs can struggle in low light and when facing adversarial attacks, as they mainly capture spatial features. To address these limitations, this research proposes a new methodology combining CNNs for spatial feature extraction with Bidirectional Long Short-Term Memory (BiLSTM) networks to capture temporal dependencies. This hybrid approach enhances detection capabilities by learning both static and dynamic patterns. Our proposed CNN-BiLSTM model achieves a 92 % detection accuracy and an F1 score of 88.5% across diverse conditions, outperforming existing models by up to 15%. By integrating temporal features, the model reduces missed detections and false positives by up to 20%, providing a more reliable and adaptable solution for pedestrian detection in autonomous vehicles.

关键词： Adaptation models Pedestrians Heuristic algorithms Feature extraction Real-time systems Vehicle dynamics Collision avoidance Autonomous vehicles Optimization Logistics

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Next-Generation Firewalls: Enhancing Network Security with Application-Awareness

Next-Generation Firewalls: Enhancing Network Security with A...

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Automation and Computation (AUTOCOM), international conference on

作者： Noopur Pandey Nalini Sunil M M. Sumathi Intekhab Alam Sidhant Das Rahul Mondal Chitkara Centre for Research and Development Chitkara University Baddi Himachal Pradesh India School of Mangement - PG Management JAIN (Deemed to be University) Bangalore Karnataka Department of Electronics and Communication Engineering Sathyabama Institute of Science and Technology Chennai Tamil Nadu India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Centre for Internet of Things Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar Odisha India

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

As modern alternatives to traditional firewalls, next-generation firewalls are an essential part of advanced network security, providing increased protection against advanced threats over a conventional firewall with the functionality to identify and control specific applications and traffic on the network. Traditional firewalls are packet-inspecting, port and protocol-centric devices that may miss or allow application-level attacks disguised as normal application traffic. In contrast, NGFWs are application-aware, meaning they know their unique signatures and can discriminate between various applications on the same port. This enables prepaid, more granular policy enforcement and protection against multiple threats, including malware, data breaches and unauthorized access. NGFWs provide application awareness and include intrusion prevention, malware detection, and deep packet inspection, which mean you get a multilayered defense against multiple types of attacks. HARs/HEAs also include central management and reporting features, allowing network administrators to monitor, analyze and quickly respond to potential threats. NGFWs are never static and evolve with the latest pointers in emerging threat vectors. They also offer advanced features like sandboxing and threat intelligence integration built into NGFW modules.

关键词： Firewalls (computing) Prevention and mitigation Telecommunication traffic Network security Inspection Data breach Malware Vectors Protection Next generation networking

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advances in computing, communication, and control - Third international conference, ICAC3 2013, Proceedings

Advances in Computing, Communication, and Control - Third In...

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3rd international conference on advances in computing, communication and control, ICAC3 2013

ISBN: (纸本)9783642363207

The proceedings contain 69 papers. The topics discussed include: market-driven continuous double auction method for service allocation in cloud computing;prediction based job scheduling strategy for a volunteer desktop grid;secured mechanism for dynamic key generation in ATM system;U-STRUCT: a framework for conversion of unstructured text documents into structured form;performing web log analysis and predicting intelligent navigation behavior based on student accessing distance education system;web content mining using genetic algorithm;improved implementation and performance analysis of association rule mining in large databases;an optimized formulation of decision tree classifier;quality factor assessment and text summarization of unambiguous natural language requirements;a comparative study of spam and prefix span sequential pattern mining algorithm for protein sequences;and business oriented web service processing and discovery framework.

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advances in computing, communication and control - international conference, ICAC3 2011, Proceedings

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2nd international conference on advances in computing, communication and control, ICAC3 2011

ISBN: (纸本)9783642184390

The proceedings contain 67 papers. The topics discussed include: modified trivial rejection criteria in Cohen-Sutherland line clipping algorithm;greedy views selection using size and query frequency;quantum-inspired differential evolution on Bloch coordinates of Qubits;extending speech-act based communication to enable argumentation in cognitive agents;medical diagnosis using generic intelligent agents;computational modeling and dynamical analysis of genetic networks with FRBPN- algorithm;a Petri net-fuzzy predication approach for confidence value of called genetic bases;textural feature based image classification using artificial neural network;an effective way to hide the secret audio file using high frequency manipulation;web usage mining: an implementation view;cost estimation for distributed systems using synthesized use case point model;and development of agile security framework using a hybrid technique for requirements elicitation.

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advances in computing, communication, and control: Third international conference, ICAC3 2013, Mumbai, India, January 18-19, 2013. Proceedings 1

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丛书名： communications in Computer and Information Science 361

2013年

作者： Pankti Doshi, Vijay Raisinghani (auth.), Srija Unnikrishnan, Sunil Surve, Deepak Bhoir (eds.)

ISBN: (数字)9783642363214

ISBN: (纸本)9783642363207;9783642363214

This book constitutes the refereed proceedings of the Third international conference on advances in computing, communication and control, ICAC3 2013, held in Mumbai, India, in January 2013. The 69 papers presented in this volume were carefully reviewed and selected for inclusion in the book. They deal with topics such as image processing, artificial intelligence, robotics, wireless communications; data warehousing and mining, and are organized in topical sections named: computing; communication; control; and others.

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Autonomous Decision-Making in Cyber-Physical Systems Using Double Deep Q-Learning and Multi-Agent Collaboration

Autonomous Decision-Making in Cyber-Physical Systems Using D...

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Advancement in Computation & Computer Technologies (InCACCT), international conference on

作者： Divyabarathi P Anbarasan R. Vasanthi R B. Leena Akshya J M. Sundarrajan Mani Deepak Choudhry Department of Artificial Intelligence and Data Science Bannari Amman Institute of Technology Erode Tamil Nadu India Department of Information Technology KGiSL Institute of Technology Coimbatore Tamil Nadu India Department of Computer Science and Engineering Bharathidasan Engineering College Thirupathur Tamil Nadu India Department of Electronics and Communication Engineering KGiSL Institute of Technology Coimbatore Tamil Nadu India Department of Computational Intelligence SRM Institute of Science and Technology Chennai Tamil Nadu India Department of Networking and Communications SRM Institute of Science and Technology Chennai Tamil Nadu India Department of Computing Technologies SRM Institute of Science and Technology Chennai Tamil Nadu India

ISBN: (数字)9798331543891

ISBN: (纸本)9798331543907

The autonomous decision-making capabilities of cyber-physical systems (CPS) establish key elements that optimize the management of resources while distributing tasks and maximizing system operational efficiency. Deep Q-Learning (DQN) represents one approach along with Twin Delayed Deep Deterministic Policy Gradient (TD3) and Multi-Agent Proximal Policy Optimization (PPO) that demonstrates capability in handling decision tasks. The existing models face multiple implementation challenges including inaccurate Q-value estimations weak multi-agent relationships and restricted scalability for dynamic systems. The inadequate performance of present methods for energy efficiency and latency alongside poor collaborative coordination led to the necessity of developing a new approach. The new framework DDQN-MAC takes double-deep Q-Learning and combines it with multi-agent collaboration technology to enhance decision-making abilities specific to challenging environments. The method solves overestimation bias through separate action selection and evaluation processes that use multi-agent collaboration for dynamic task distribution and resource control. The designed model demonstrates enhanced performance in multiple critical evaluation measures. Benchmarks indicate that DDQN-MAC attained a superior completion rate of 95.4% while demonstrating reduced latency performance at 12.5 ms versus the other methods DQN (18.7 ms) and Multi-Agent PPO (92.3%). The research provides fundamental groundwork to guide upcoming investigations in hybrid model development while advancing complex multi-agent system capabilities for enhanced autonomous navigational choices within variable operational environments.

关键词： Q-learning Decision making Collaboration Estimation Cyber-physical systems Dynamic scheduling Energy efficiency Resource management Vehicle dynamics Optimization

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Electric Vehicle Charging System Using RFID and IoT for Enhanced User Experience

Electric Vehicle Charging System Using RFID and IoT for Enha...

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IEEE Middle East and North Africa communications conference (MENACOMM)

作者： Md Mehedi Hassain Injamul Haque Jamil Md Mahmudul Hoque Md. Jahid Hasan Dept. of Electrical & Electronics Engineering International Islamic University Chittagong Chittagong Bangladesh Dept. of Computing & Mathematical Sciences University of Greenwich London United Kingdom Dept. of Computer Science & Engineering CCN University of Science and Technology Cumilla Bangladesh Dept. of Information & Communication Technology Comilla University Cumilla Bangladesh

ISBN: (数字)9798331519957

ISBN: (纸本)9798331519964

Electric vehicles (EVs) are surging in popularity globally, offering a greener and more energy-efficient alternative to traditional cars. Our research aims to develop an RFID based system designed to automate EV charging with minimal user input. This system integrates RFID readers, tags, a microcontroller, and a relay module to manage and monitor charging sessions efficiently. An IoT platform supports real time monitoring and remote control, while a secure payment mechanism handles transactions seamlessly. RFID tags identify vehicles for automatic charging initiation, and the relay module prevents overcharging by disconnecting power after a set time. The system uses MQTT for data transmission and offers real-time insights into energy use and account balances. All information is updated and displayed in real-time on the server. MySQL ensures scalability, enabling effective handling of large volumes of data. The mobile application dashboard provides a view of the charging and discharging processes for user monitoring, and an email notification is sent after the recharge. EV battery charging status is monitored through visual graphs. Key benefits include a streamlined user experience, improved charging management, and support for EV adoption. This innovation advances sustainable mobility with a user friendly, efficient charging solution.

关键词： Visualization Technological innovation Transportation Real-time systems Electric vehicle charging User experience Energy efficiency Relays Monitoring Radiofrequency identification

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Classification of SDN distributed controller approaches: a brief overview 3

Classification of SDN distributed controller approaches: a b...

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3rd international conference on advances in computing, communication and Engineering (ICACCE)

作者： Nkosi, Mpho Lysko, Albert Ravhuanzwo, Lusani Nandeni, Thulani Engelberencht, Andries CSIR Meraka Inst Pretoria South Africa Univ Pretoria Dept Comp Sci Pretoria South Africa

ISBN: (纸本)9781509025763

Software defined networking offers a capability of separating control plane from data plane. The control plane is the key component of a network which ensures smooth management and operation of the entire network. However, network's resiliency and availability offered by SDN single centralized controller architecture is prone to single point of failure. Network operators are rather looking at distributed controllers' deployment to ensure better network resiliency and availability. This paper gives a brief overview of approaches available for distributed controller deployment and also highlights some of the challenges experienced in the SDN distributed controller environments.

关键词： Software Defined networking (SDN) Application Programming Interface(API) distributed controller

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advances in communication and networking 2009

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丛书名： communications in Computer and Information Science

2009年

作者： Laurence Tianruo Yang Jong Hyuk Park Thanos Vasilakos Sang-Soo Yeo

ISBN: (数字)9783642102363

ISBN: (纸本)9783642102356

This volume constitutes the selected and extended papers of the international conference on advances in communication and networking, FGCN2008, and Its Special Sessions, held in Sanya, Hainan Island, China in December 2008. The articles discuss recent progress in the area of communication and networking including modeling, simulation and novel applications associated with the utilization and acceptance of computing devices and systems.

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