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11th European Conference on computer Vision

作者： Bronstein, Alexander M. Bronstein, Michael M. BBK Technologies Ltd. United States Dept. of Electrical Engineering Tel Aviv University Israel Dept. of Computer Science Technion Israel Institute of Technology Israel

ISBN: (纸本)9783642155512

Invariant image descriptors play an important role in many computer vision and pattern recognition problems such as image search and retrieval. A dominant paradigm today is that of "bags of features", a representation of images as distributions of primitive visual elements. The main disadvantage of this approach is the loss of spatial relations between features, which often carry important information about the image. In this paper, we show how to construct spatially-sensitive image descriptors in which both the features and their relation are affine-invariant. Our construction is based on a vocabulary of pairs of features coupled with a vocabulary of invariant spatial relations between the features. Experimental results show the advantage of our approach in image retrieval applications.

关键词： Image retrieval

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Towards Sustainable Economic Zones with UAV-assisted Real-time Energy Replenishment in Wireless Rechargeable Sensor Networks 17

Towards Sustainable Economic Zones with UAV-assisted Real-ti...

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17th IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2023

作者： Goyal, Riya Tomar, Abhinav Singal, Gaurav Netaji Subhas University of Technology Dept. of Computer Science and Eng. New Delhi Dwarka India

ISBN: (纸本)9798350307672

An economic zone is bound to have continuous monitoring and control by an autonomous surveillance system for better production competency and security. Wireless Rechargeable Sensor Networks (WRSNs) have gained popularity to provide reliable and sustainable energy supply for continual network operations. In economic zones, numerous sensor nodes are deployed for diverse activities that require continuous energy supply. However, the integration of WRSNs with UAVs has increased the efficiency of recharging the sensor nodes deployed in areas that are difficult to reach by mobile chargers. Nevertheless, UAVs' limited battery life limits their performance and range which requires efficient deployment of charging stations. This paper proposes an integration of the Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithms to address the charging scheduling problem through efficient deployment of charging stations and finding the optimal charging scheduling path for UAVs. Simulation results demonstrate that the proposed scheme produces a shorter planning path, leading to a longer network lifespan than alternative approaches. © 2023 IEEE.

关键词： Ant colony optimization

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Performing Real-Time Network Attacks on Smart Weather Monitoring Device Using Kali Linux 1

Performing Real-Time Network Attacks on Smart Weather Monito...

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1st IEEE Bangalore Humanitarian technology Conference, B-HTC 2020

作者： Rao, Vidya Prema, K.V. Manipal Institute of Technology Manipal Academy of Higher Education Dept. of Computer Science and Engineering Manipal India

ISBN: (纸本)9781728187945

The advancement of applications in Internet-of-Things (IoT) has taken its share in smart farming and smart agriculture. The devices used in IoT can sense, process and communicate the data across the Internet to the user. These devices are easily accessible by unauthenticated users. To secure the data collected by the smart device, it is essential to have security features imbibed. Traditionally, the security scheme developed by various researchers have been evaluated for different attacks using simulation tools like AVISPA, ProVerif. But, it is essential to check the device security by performing a real-time attack. In this research, real-Time attack strategies are shown for an IoT based weather monitoring application that are essential for smart agricultural production. Attacks such as man-in-The-middle (MITM) attack, replay attack and denial of service(DoS) attacks are performed on the weather monitoring setup. By running Elliptic Curve Cryptography (ECC) based security schemes on the devices, the attacks are performed to analyze the system response towards the real-Time attacks for various ECC based solutions. © 2020 IEEE.

关键词： Internet of things

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Emergence of human interaction by dynamic acquiring user's evaluation tendency

IEEJ Transactions on Electronics, Information and Systems

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IEEJ Transactions on Electronics, Information and Systems 2014年第2期134卷 303-311+17页

作者： Sakuma, Takuto Kato, Shohei Dept. of Computer Science and Engineering Graduate School of Engineering Nagoya Institute of Technology Gokiso-cho Showa-ku Nagoya-city Aichi 466-8555 Japan

Research on human interaction is done actively in recently years, and activity of robot is expected in various scenes. For example, the robot which guides facilities while regarding communication as a human being or the robot is intended to play with a child. We paid our attention to the interaction for purpose of enjoying turn-taking. We believe that it is necessary to reflect the preference of the user for an interaction so that a user has a positive impression for the system through such an interaction more. This research aims at development of the human interaction system which a impression for the system of a user improves by the system reflect a preference of the user, and emergence does a better interaction for the user. The user gives an evaluation to the interaction that the user and the system performed, and the system learns it dynamically. The system carries out emergence of a better interaction for a user. This report pays attention to simple interaction by the sight, and inspects effectiveness of the proposal method in interaction using simpler symbol. © 2014 The Institute of Electrical Engineers of Japan.

关键词： Human robot interaction

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Machine Learning Techniques for Identifying Child Abusive Texts in Online Platforms 15

Machine Learning Techniques for Identifying Child Abusive Te...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Mahmud, Tanjim Akter, Tahmina Uddin, Mohammad Kamal Aziz, Mohammad Tarek Hossain, Mohammad Shahadat Andersson, Karl Rangamati Science and Technology University Department of Computer Science and Engineering Rangamati4500 Bangladesh Port City International University Dept. of Computer Science and Engineering Chittagong Bangladesh Chittagong University of Engineering & Technology Department of Computer Science and Engineering Chittagong Bangladesh University of Chittagong Dept. of Computer Science and Engineering Chittagong4331 Bangladesh Luleå University of Technology Cybersecurity Laboratory Luleå97187 Sweden

ISBN: (纸本)9798350370249

This study addresses the critical issue of child abuse in digital communications by developing advanced machine learning and deep learning models for detecting child abusive texts in the Bengali language on online platforms. The primary goal of this research is to contribute to child abuse prevention by creating an effective tool for accurately identifying abusive content. Utilizing a combination of natural language processing (NLP) techniques and deep learning algorithms, this model distinguishes between abusive and non-abusive text. The dataset, comprising manually collected and labeled comments and posts from social media sites, is categorized into Positive, Neutral, and Negative classes. For model development, a variety of machine learning algorithms including RF, DT, and SVM, alongside deep learning approaches such as LSTM and CNN, were tested. The performance of the proposed model was assessed using precision, recall, and F1 score metrics. The findings reveal that the model performs with high accuracy in classifying abusive text in Bengali, offering significant potential as a tool for effective child abuse identification and prevention. © 2024 IEEE.

关键词： Deep Learning Machine Learning Natural Language Processing Sentiment Analysis Supervised Model

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Opportunistic Mobile Networks 1

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丛书名： computer Communications and Networks

1000年

作者： Sudip Misra Barun Kumar Saha Sujata Pal

ISBN: (数字)9783319290317

ISBN: (纸本)9783319290294;9783319804767

This textbook reviews the theory, applications, and latest breakthroughs in Delay Tolerant Networks (DTNs). Presenting a specific focus on Opportunistic Mobile Networks (OMNs), the text considers the influence of human aspects, and examines emerging forms of inter-node cooperation. Features: contains review terms and exercises in each chapter, with the solutions and source code available at an associated website; introduces the fundamentals of DTNs, covering OMNs, PSNs, and MOONs; describes the ONE simulator, explaining how to set up a simulation project; provides detailed insights into the development and testing of protocols, together with a set of best practices for increased productivity and optimized performance; examines human aspects in the context of communication networks, from human-centric applications to the impact of emotion on human-network interplay; proposes various schemes for inter-node cooperation in DTNs/OMNs; presents a detailed discussion on aspects of heterogeneity in DTNs.

关键词： computer Communication Networks Simulation and Modeling Philosophy of technology Sociological Theory

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A PubMed Meta search engine based on biomedical entity mining 25

A PubMed Meta search engine based on biomedical entity minin...

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25th International Workshop on Database and Expert Systems Applications, DEXA 2014

作者： Kanavos, Andreas Theodoridis, Evangelos Tsakalidis, Athanasios Computer Engineering and Informatics Department University of Patras Greece Informatics Engineering Dept. Technological Educational Institute of Central Greece Computer Technology Institute and Press Greece

ISBN: (纸本)9781479957224

Biomedical knowledge stored in the web is increasing significantly as most of the biomedical research papers are published online. Biomedical entity extraction is a crucial procedure for efficient text analysis and retrieval. PubMed is a very popular indexing engine, concerning life sciences and biomedical research. Being a free database, it accesses primarily the MEDLINE database of references and abstracts on life sciences and biomedical topics. In this work, we propose a metasearch engine over PubMed, which classifies PubMed results according to their specific topic and the extracted Biomedical entities. This method helps researchers to browse and search in the retrieved results. In order to provide more accurate clustering results, we utilize the biomedical ontology, named MeSH as well as RxNorm which is a tool for supporting semantic interoperation between drug terminologies and pharmacy knowledge base systems. Finally, we embed the proposed methodology in an online system. © 2014 IEEE.

关键词： Semantics

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AraBEM at WANLP 2022 Shared Task: Propaganda Detection in Arabic Tweets 7

AraBEM at WANLP 2022 Shared Task: Propaganda Detection in Ar...

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7th Arabic Natural Language Processing Workshop, WANLP 2022 held with EMNLP 2022

作者： Refaee, Eshrag A. Ahmed, Basem H. Saad, Motaz K. Faculty of Computer Sciences Jazan University Saudi Arabia Dept. of computer science Alaqsa University Palestine Faculty of Info Technology The Islamic University of Gaza Palestine

ISBN: (纸本)9781959429272

Propaganda is information or ideas that an organised group or government spreads to influence peoples' opinions, especially by not giving all the facts or secretly emphasising only one way of looking at the points. The ability to automatically detect propaganda-related language is a challenging task that researchers in the NLP community have recently started to address. This paper presents the participation of our team AraBEM in the propaganda detection shared task on Arabic tweets. Our system utilised a pre-trained BERT model to perform multi-class binary classification. It attained the best score at 0.602 micro-f1, ranking third on subtask-1, which identifies the propaganda techniques as a multilabel classification problem with a baseline of 0.079. © 2022 Association for Computational Linguistics.

关键词： Classification (of information)

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An audio watermarking algorithm for audio authentication

An audio watermarking algorithm for audio authentication

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2010 IEEE International Conference on Information Theory and Information Security, ICITIS 2010

作者： Zhao, Hong Shen, Dongsheng Dept. of Computer Science Key Laboratory of Information Security Technology Zhangzhou Normal University Zhangzhou China

ISBN: (纸本)9781424469406

A semi-fragile watermarking algorithm for copyright protection and content authentication is proposed in this paper. The features of the proposed algorithm are as follows: 1) The watermark dept. can be adaptively adjusted according to local audio character, enhanced the robustness of digital audio watermark;2) The copyright protection and content authentication for digital audio can be utilized simultaneously. The proposed algorithm can locate the tampered region. Experimental results show that the semi-fragile audio watermarking algorithm is robust against various signals processing such as low pass filtering, loss compression, and re-sampling. In addition, the proposed scheme can detect effectively the tampered regions. © 2010 IEEE.

关键词： Audio watermarking

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I-NXGeVita: IoMT based ubiquitous health monitoring system using deep neural networks 3

I-NXGeVita: IoMT based ubiquitous health monitoring system u...

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3rd IEEE International Conference on Recent Trends in Electronics, Information and Communication technology, RTEICT 2018

作者： Maxime Konan, Derroh Amany Patel, Warish Parul Institute of Engineering and Technology Parul University Dept. of Computer Science and Engineering Vadodara Gujarat India

ISBN: (纸本)9781538624401

Internet of Things is a new emerging technology by which devices can communicate using internet. The proposed work (i-NXGeVita), Intelligent Next Generation Vital Signs Monitoring System, states that how to apply Internet of Things in Healthcare using Machine Learning Techniques. Indeed, connect Internet of Medical Things (IoMT) to patient will be helping Doctors and Caregivers to monitor him or her in real-time around the globe. The IoMT devices will collect Vital Signs data such as body temperature, pulse rate, heartbeats (signals), using ECG (Electrocardiogram) sensor, Temperature sensor, etc. That will be stored in the Cloud System and it will synchronize with the local server. Machine Learning comes to analyze those data to identify health risks and estimate severity in real-time by using its Algorithms. i-NXGeVita based on Deep Neural Networks (DNN) and IoMT can differentiate between Normal and Abnormal Heartbeats and classify different Abnormal Rhythms. Such techniques will be very useful for physicians to detect possible Health problems and deliver appropriate Medical assistance on time to serve humankind in better way. © 2018 IEEE.

关键词： Electrocardiograms

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