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4th International Conference on Frontiers in Computing and Systems, COMSYS 2023

作者： Haldar, Bilas Sinha, Rohit Paul, Pranam Jha, Prabin Kumar Department of Computer Science and Engineering The Neotia University Diamond Harbour Road South 24 Parganas West Bengal Sarisha743368 India DCG Datacore Systems Pvt. Ltd. Plot 4 DG Block Sector II Kolkata700091 India Department of Computer Science and Engineering Brainware University 398 Ramkrishnapur Road West Bengal Barasat700125 India Department of Robotics and Automation The Neotia University Diamond Harbour Road South 24 Parganas West Bengal Sarisha743368 India

ISBN: (纸本)9789819726134

The security of data has become a top priority in today’s world. An insecure communication network makes data transmission even more challenging. Cryptography can be an effective tool to secure information and ensure the security and confidentiality of information. In cryptography encryption and decryption methods determine communication security, with key sharing. The main purpose of key exchange methods is to provide protection for technology and are not dependent on communication channel security. Encryption and decryption methods determine the transaction security with key sharing. The present work is a new method for generating keys for multi-party communications using a quasi-group approach. A methodology for generating a master key from an unordered value gap was proposed in this work using a quasi-group of order n. The algorithms to generate and renew multiple subkeys from the master key and vice versa are proposed. Additionally, the proposed methods are based on a Modified Secure IDEA (MS-IDEA) algorithm for encryption and decryption using a 256-bit key. The results showed that these methods improve the performance and protection against attacks. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Cryptography

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KT-Imitation: Efficient Visual Imitation for Autonomous Navigation Based on Keypoint Timeline

KT-Imitation: Efficient Visual Imitation for Autonomous Navi...

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IEEE Latin American robotics Symposium, LARS

作者： Karen Li Hanqing Qi Jiawei Xu Edward Jeffs David Saldaña Department of Computer Science and Engineering Lehigh University Bethlehem PA USA Autonomous and Intelligent Robotics Laboratory (AIRLab) Lehigh University

ISBN: (数字)9798331508807

ISBN: (纸本)9798331508814

We introduce Keypoint Timeline (KT-) Imitation, a vision-only imitation algorithm for autonomous navigation. The algorithm is both data- and computation-efficient, as it only requires a single video demonstration. Different from methods in the literature, it does not require extensive action-observation information or an iterative learning process. The algorithm creates a timeline from a video demonstration to evaluate and fine-tune parameters for both the demonstrations and motion controls. This optimization improves the reliability and continuity of the ORB keypoints used in imitation tasks. We present an egocentric action-generation procedure that guides the imitator to carry the camera autonomously to follow the demonstration using the detected keypoints of the onboard camera. Our experiments validate the proposed approaches on a ground robot and an aerial vehicle against ground-truth recordings.

关键词： Visualization Navigation Robot vision systems Cameras Recording Reliability Iterative methods Motion control Optimization Autonomous robots

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A Survey of Stroke Image Analysis Techniques 9th

A Survey of Stroke Image Analysis Techniques

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9th EAI International Conference on Advancement of science and Technology, ICAST 2021

作者： Agizew, Henok Yared Beyene, Asrat Mulatu AI & Robotics CoE Addis Ababa Science and Technology University Addis Ababa Ethiopia Department of Electrical and Computer Engineering Addis Ababa Science and Technology University Addis Ababa Ethiopia

ISBN: (纸本)9783030937089

Stroke is one of the instantaneously shocking and spiking cerebrovascular diseases having substantial residual effects. Image analysis techniques have the ability to diagnosing and providing proper treatment for stroke patients. To lighten the problem, various techniques of image analysis have been proposed. Thus, this survey intended to analyze these proposed image analysis approaches intending to thoroughly examine the state-of-the-art image analysis techniques. To prepare this survey, the systematic literature review method was employed. Based on the reviewed literature, several clinical and biological image datasets are found to be used in the process of stroke diagnosis. However, there are very few publicly accessible datasets are available currently. In this survey, each image analysis technique used for stroke image analysis processes is briefly discussed. Finally, open research challenges are identified that could be addressed in the future. © 2022, ICST Institute for computer sciences, Social Informatics and Telecommunications engineering.

关键词： Image analysis

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GRID-FAST: A Grid-based Intersection Detection for Fast Semantic Topometric Mapping

arXiv

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arXiv 2024年

作者： Fredriksson, Scott Saradagi, Akshit Nikolakopoulos, George Robotics & AI Team Department of Computer Science Electrical and Space Engineering Luleå University of Technology LuleåSE-97187 Sweden

This article introduces a novel approach to constructing a topometric map that allows for efficient navigation and decision-making in mobile robotics applications. The method generates the topometric map from a 2D grid-based map. The topometric map segments areas of the input map into different structuralsemantic classes: intersections, pathways, dead ends, and pathways leading to unexplored areas. This method is grounded in a new technique for intersection detection that identifies the area and the openings of intersections in a semantically meaningful way. The framework introduces two levels of pre-filtering with minimal computational cost to eliminate small openings and objects from the map which are unimportant in the context of high-level map segmentation and decision making. The topological map generated by GRID-FAST enables fast navigation in large-scale environments, and the structural semantics can aid in mission planning, autonomous exploration, and human-to-robot cooperation. The efficacy of the proposed method is demonstrated through validation on real maps gathered from robotic experiments: 1) a structured indoor environment, 2) an unstructured cave-like subterranean environment, and 3) a large-scale outdoor environment, which comprises pathways, buildings, and scattered objects. Additionally, the proposed framework has been compared with state-of-the-art topological mapping solutions and is able to produce a topometric and topological map with up to 92% fewer nodes than the next best solution. Copyright © 2024, The Authors. All rights reserved.

关键词： Mapping

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Cyberbullying Classification Using a Natural Language Processing and Machine Learning Techniques

Cyberbullying Classification Using a Natural Language Proces...

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2024 International Conference on Advances in Computing Research on science engineering and Technology, ACROSET 2024

作者： Mankar, Nikhilesh Pramod Mahure, Tushar Joshi, Anushka A. Pande, Sagar Dhanraj Khamparia, Aditya Nathe, Ankita Shrikrushna Turjman, Fadi Al Pune India Independent Researcher Amravati India Babasaheb Bhimrao Ambedkar University Department of Computer Science Amethi India Kavikulguru Institute of Technology and Science Department of Information Technology Nagpur India Ai and Robotics Institute Near East University Artificial Intelligence Software Information Systems Engineering Departments Nicosia Cyprus University of Kyrenia Research Center for Ai and IoT Faculty of Engineering Kyrenia Turkey

ISBN: (纸本)9798350388800

The usage of online entertainment has increased dramatically after some time with the enhancement of the Internet and has turned into the most compelling systems administration stage in this century. Notwithstanding, the upgrade of a social network regularly makes adverse consequences on society that add to two or three terrible peculiarities, for example, online maltreatment, badgering cyberbullying, cybercrime, and internet savaging. Cyberbullying habitually prompts genuine mental and actual misery, especially for ladies and kids, and even occasionally make them to use self-destruction methods. Multiple number of episodes have as of late happened worldwide because of online badgering, like sharing private talks, bits of hearsay, and sexual comments. In this way, the distinguishing proof of harassing messages or messages via online entertainment has gained a significant measure for development for consideration with in scientists. The ground or motive for this exploration is to create a full-fledged way or a method to differentiate online harmful and tormenting drafts by combining various methods and techniques in the domain of natural language processing and AI © 2024 IEEE.

关键词： Adversarial machine learning

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Exploring 3D Reconstruction with Drone Images: Advances and Challenges in Urban Environments 50

Exploring 3D Reconstruction with Drone Images: Advances and ...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Miranda Baldivieso, Thiago João da Silva Batista, Taise Grazielle Chagas, Fabio Suim Rodrigues Velho, Luiz Carlos Pacheco Ferreira Rosa, Paulo Fernando Defense Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil State Institute of the Environment Inea RJ Rio de Janeiro Brazil Department of Science and Industry systems University of South-Eastern Norway Kongsberg Norway Department of Computer Graphics Institute for Pure and Applied Mathematics Rio de Janeiro Brazil Electrical Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil

ISBN: (纸本)9781665464543

This working-in-progress paper aims to present a three-dimensional reconstruction using aerial images in different environments. The experiments were conducted with aircraft in both external and internal settings, starting with image acquisition, followed by the application of specific photogrammetry software-both commercial and open-source-and concluding with a qualitative evaluation of the results. © 2024 IEEE.

关键词： Aerial photography

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Adaptive Control of Euler-Lagrange Systems under Time-varying State Constraints without a Priori Bounded Uncertainty

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IFAC-PapersOnLine 2023年第2期56卷 3360-3365页

作者： Viswa Narayanan Sankaranarayanan Sumeet Satpute Spandan Roy George Nikolakopoulos Robotics and Artificial Intelligence Group Department of Computer Science Electrical and Space Engineering Luleå University of Technology Sweden Robotics Research Center International Institute of Information Technology Hyderabad India

In this article, a novel adaptive controller is designed for Euler-Lagrangian systems under predefined time-varying state constraints. The proposed controller could achieve this objective without a priori knowledge of system parameters and, crucially, of state-dependent uncertainties. The closed-loop stability is verified using the Lyapunov method, while the overall efficacy of the proposed scheme is verified using a simulated robotic arm compared to the state of the art.

关键词： Adaptive control barrier Lyapunov function Euler-Lagrangian system

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Gender Detection from Hand Palm Images: A PySpark-Driven Approach with VGG19 Feature Extraction and MLP Classification 6

Gender Detection from Hand Palm Images: A PySpark-Driven App...

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6th International Conference on Computing and Informatics, ICCI 2024

作者： Henedak, Mayar Tarek Ezzeldin, Ganna Waleed Mohamed, Nada Adel Hamed, Malak Essam ElMasarawi, Sarah Mahmoud Fekry, Shahd Mohamed Yasser, Tawfik Fouad, Khaled M. Fathi, Mostafa Abdelbaky, Ibrahim BMD Program ITCS Nile University Giza Egypt AlProgram ITCS Nile University Giza Egypt Faculty of Computers and Artificial Intelligence Benha University Egypt Faculty of Computer Science and Engineering New Mansoura University Egypt Computer Science Program ITCS Nile University Giza Egypt Artificial Intelligence Department Faculty of Computers and Artificial Intelligence Benha University Banha13518 Egypt

ISBN: (纸本)9798350373875

This paper presents a comprehensive methodology for gender detection using hand palm images, leveraging image processing techniques and PySpark for scalable and efficient processing. The approach encompasses a meticulous image preprocessing pipeline, incorporating essential stages like grayscale conversion, the application ofthe Difference of Gaussians (DoG) filter, and adaptive histogram equalization. This approach not only refmes image features but also ensures scalability, accommodating large datasets seamlessly. After preprocessing of hand images, the VGG19 model is employed as a powerful feature extractor, utilizing its pre-trained convolutional layers to capture high-level abstract features from hand palm images. The fmal step was to train and fit the tabular data and extracted features on the Multilayer Perceptron (MLP) model, which is a feedforward neural network for classification tasks in PySpark. The MLP model, with its ability to learn complex patterns, proves effective in accurately predicting gender categories based on the extracted features. Finally, the model results were 94% accuracy for training and 87% testing which indicates that the model is generalizing well to unseen data. Also, another evaluation metrics were used like Precision 0.87, Recall 0.87, Fl Score 0.87 and AUC 0.92. © 2024 IEEE.

关键词： Multilayer neural networks

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Attendance System via Internet of Things, Blockchain and Artificial Intelligence Technology: Literature Review 37th

Attendance System via Internet of Things, Blockchain and Art...

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37th International Conference on Advanced Information Networking and Applications, AINA 2023

作者： Abidemi, Sarumi Usman Mubarak, Auwalu Saleh Akanni, Olukayode Ameen, Zubaida Said Cacciagrano, Diletta Al-turjman, Fadi Artifiical Intelligence Engineering Department AI and Robotics Institue Near East University Mersin 10 Nicosia Turkey Computer Science Division School of Science and Technology Camerino University Camerino62032 Italy Research Center for AI and IoT Faculty of Engineering University of Kyrenia Mersin 10 Kyrenia Turkey

ISBN: (纸本)9783031286933

Many researchers have make efforts on creating several attendance systems to keep track of student attendance in school which is also part of academic curriculum that will have great impact in student academic performance. There have been different technologies such as RFID, face recognition, biometric, web-based attendance system etc. To capture attendance in a way that’s better than the traditional method of pen and paper or roll call system. Making this attendance record available on blockchain network and applying artificial intelligence algorithm for prediction or classification in correlation with the data captured from student attendance purpose. Several articles, papers and journals has been reviewed from different research plethora of research publishers’ database through internet such as Google scholar, IEEExplore, Springerslink etc. This will make it easy for comparing several attendance systems with respect to internet of things, blockchain and artificial intelligence to address the research gap in this aspect. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Blockchain

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Robust Audio Watermarking Based on Empirical Mode Decomposition and Group Differential Relations

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AES: Journal of the Audio engineering Society 2023年第3期71卷 100-117页

作者： Lai, Wen-Hsing Chou, Tsung-Yuan Chou, Meng-Chen Schuller, Björn W. Department of Computer and Communication Engineering National Kaohsiung University of Science and Technology No. 1 University Rd. Yanchao Dist. Kaohsiung City82445 Taiwan ZD.B Chair of Embedded Intelligence for Health Care and Wellbeing University of Augsburg Germany Ph.D. Program in Engineering Science and Technology College of Engineering National Kaohsiung University of Science and Technology Taiwan GLAM – Group on Language Audio & Music Imperial College London United Kingdom

An audio watermarking technique using Complementary Ensemble Empirical Mode Decomposition and group differential relations of average absolute amplitudes of the last Intrinsic Mode Function (IMF) is proposed. By using group differential relations, the relationship with neighboring samples in the last IMF is well preserved, and near-imperceptibility can be achieved. Placing a watermark on low-frequency components, the last IMF, which is perceptually significant, therefore makes the watermark difficult to be removed. The embedding watermark, which is a logo image in our experiment, is processed by Arnold transformation, secret key encryption, and Bose–Chaudhuri–Hocquenghem coding to enhance robustness and security. Experimental results of the signal-to-noise ratio fit the recommendations of imperceptibility of the International Federation of the Phonographic Industry. The average Objective Difference Grade (an objective measure that correlates very well with subjective assessment) and subjective quality assessment were performed to evaluate the imperceptibility. Furthermore, our method accomplishes robustness under 13 different categories of attacks, including noise corruption, amplitude scaling, echo addition, resampling, re-quantization, low-pass filtering, MPEG-1 Audio Layer III compression, Digital-to-Analog/Analog-to-Digital conversion, cropping, time shift, zero thresholding, jittering, and combined attacks. © 2023 Authors. All rights reserved.

关键词： Intrinsic mode functions

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