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Functional Gaze Prediction in Egocentric Video 18

Functional Gaze Prediction in Egocentric Video

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18th International conference on Advances in Mobile computing and multimedia (MoMM)

作者： Naas, Si-Ahmed Jiang, Xiaolan Sigg, Stephan Ji, Yusheng Aalto Univ Dept Commun & Networking Espoo Finland Grad Univ Adv Studies Dept Informat Hayama Kanagawa Japan Natl Inst Informat Informat Syst Architecture Sci Res Div Tokyo Japan

ISBN: (纸本)9781450389242

Streaming 360 degrees videos to a head-mounted display (HMD) client is challenging due to their high network resource consumption and computational load. This is due to the use of gaze point prediction or image saliency features from the field of view (FoV) since, in real-time scenarios, FoV extraction is computationally demanding. We propose a functional gaze prediction system that addresses these issues by relying on a tiling scheme for gaze prediction. We condition gaze point prediction on virtual reality (VR) content and long short-term memory (LSTM)-encoded eye movement history. Further, we encode image flow and saliency maps of RGB images via VGG16, using a convolutional neural network (CNN). Future gaze points are then predicted using a novel sinusoidal encoding technique. In experiments, our tile-based approach outperforms state-of-the-art FoV-based schemes in terms of computational load and predicted gaze position.

关键词： Pervasive HMD interaction 360 degrees video convolutional neural network gaze prediction machine learning virtual and augmented reality

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Editorial Preface on the Proceedings of the International Multi - conference on computing, Communication, Electrical and Nanotechnology, I2CN-2k19

Editorial Preface on the Proceedings of the International Mu...

引用

International Multi-conference on computing, Communication, Electrical and Nanotechnology (I2CN)

作者： Subash, T. D. Mangalam Coll Engn Ettumanoor Dept Elect & Elect Engn Kottauyam 686631 India

I2CN-2K19: "International Multi-conference on computing, Communication, Electrical & Nanotechnology" aimed to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences. It also provides the premier multidisciplinary forum for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns, practical challenges encountered and the solutions adopted in the field of Emerging Trends in Engineering and *** covers the major areas like Advanced materials in Engineering, Bio Medical, Electronics and Green Architecture, Building Energy Conservation and Green Architecture,Computer Vision and Robotics, Computational Fluid Dynamics,Civil Engineering Materials,Chemical and Process Engineering,Design of Embedded system with VLSI, Data mining, Electrical Materials Electro magnetic, Electrical, Electronic and Systems Engineering, Green Manufacturing, Internal combustion Engines Internet and Mobile computing, Instrumentation and Control Engineering, Mechatronics, MEMS and NEMS, Materials preparation and processing Nanotechnology, Nano Devices, New Technology, methods and Techniques in Civil Engineering, networking, Communication and multimedia, Photonics and Opto-electronics, Power engineering, Pervasive, Grid, Cloud computing, Renewable and Non-Renewable Energies, RADAR and satellite communication, Semiconductor devices, Structural Engineering, Signal and Image Processing, Theory and Advanced Technology of Engineering Structure (C) 2019 Elsevier Ltd. All rights reserved.

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A Survey on Machine Learning Algorithms for Detecting Fake Instagram Accounts

A Survey on Machine Learning Algorithms for Detecting Fake I...

引用

Advances in computing, Communication Control and networking (ICAC3N), International conference on

作者： Karishma Anklesaria Zeel Desai Vikram Kulkarni Harish Balasubramaniam MPSTME NMIMS University Mumbai India

ISBN: (纸本)9781665438124

With the tremendous increase in internet usage since its inception, cybercrime and online scamming has become extremely abundant. This surge in online scams is only helped by the presence of social media, which serves as one of the most popular platforms for the scammers to target their victims. Social media platforms such as Instagram, Facebook, Whatsapp, Twitter, have become the primary hub for scamsters, and these platforms facilitate their dangerous activities. The fraudsters carry out such scams using fake accounts which help them hide their true identity. To prevent such scams, we need a tool that helps us differentiate between fake and legitimate profiles. The machine learning models like Artificial neural network, AdaBoost, Multi-Layer Perceptron, Random Forest and Stochastic Gradient Descent (SGD) were implemented and their performance was compared in this paper to differentiate between the fake and legitimate profiles. We compare the results of these algorithms using various parameters and find Random Forest to be the most efficient.

关键词： Freeware Machine learning algorithms Social networking (online) multimedia Web sites Blogs Stochastic processes Surges

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Triple-partition Network: Collaborative Neural Network based on the ‘End Device-Edge-Cloud’

Triple-partition Network: Collaborative Neural Network based...

引用

IEEE conference on Wireless Communications and networking

作者： Zhipeng Gao Dong Miao Langcheng Zhao Zijia Mo Guangpeng Qi Liang Yan State key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications China Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia Beijing University of Posts and Telecommunications China Inspur Group Ltd Jinan China

The traditional centralized data processing model represented by cloud computing cannot meet the data processing requirements that are gradually tending to the edge. Therefore, a new distributed computing model coordinated by the end devices, edges and cloud has become the main development direction. However, artificial intelligence algorithms that are widely used in cloud-only approach are difficult to embed in resource-constrained distributed frameworks. To address this issue, we propose Triple-partition Network, a neural network model augment with three exit points. The structure of three exit points allows to segment the traditional neural network and deploying them on the end devices, edges, and cloud. By setting up suitable exit points through the Entropy Topsis comprehensive evaluation model, part of the data can exit the network in advance to improve the efficiency of computing services. In this experiment, the classic neural networks (Alexnet, Resnet) are used to study the Triple-partition Network on a state-of-art platform and show that trained Triple-partition Network can greatly reduce the end-to-end latency by over 3x while achieving high accuracy.

关键词： Training Cloud computing Adaptation models Computational modeling Neural networks Transforms Tools

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A Review on Women Safety in India using Machine Learning on Different Social Media Platform

A Review on Women Safety in India using Machine Learning on ...

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Advanced Technologies in Intelligent Control, Environment, computing & Communication Engineering (ICATIECE), International conference on

作者： Ashok K B Rajalakshmi Konapalli Sai Chaitanya Reddy Geetha Priyanka Guggulla Santhosh Krishna B V Computer Science & Engineering New Horizon College of Engineeering Bengaluru Karnataka

ISBN: (纸本)9781665493970

Present days women's and girls are facing issues of abuse harassment, not only in society and also in social media in various forms all over the India. The safety measures and protections towards the women are very less in social media compare to real life situations. This review paper basically focuses on the review on women safety in different social media platforms across the Indian cities. The website and apps such as twitter, Facebook, Instagram and more. This paper basically focuses on women's safety in social media and to protect them in every place. Tweets on twitter, posts on face book, Instagram which contains the videos and images, any written text and quote which are abusive the women's or treat to them and less protection to women's in different areas of India can be used to understand by the youth of India and to take the strict action on them who misuse the women's safety who harass them in social medias via tweets, posts, text should take the strict action on them. tweets on twitter and the posts on Facebook and Instagram where the women share there views which spread all over the world as a stand for women or girls to explain their views, and opinions where they felt bad while when planned to go out for work and moving in a public places and transport and we can understand what actually they are feeling when they are in unknown place or harassed by unknown people and weather they are feeling safe or not.

关键词： Social networking (online) Operating systems multimedia Web sites Blogs Urban areas Machine learning Safety

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Predicting and Preventing Cyber Attacks during COVID-19 Time Using Data Analysis and Proposed Secure IoT layered Model 4

Predicting and Preventing Cyber Attacks during COVID-19 Time...

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4th International conference on multimedia computing, networking and Applications, MCNA 2020

作者： Tawalbeh, Lo'Ai Muheidat, Fadi Tawalbeh, Mais Quwaider, Muhannad Saldamli, Gokay Texas AM University IEEE SM Department of Computing and Cybersecurity San Antonio United States California State University San Bernardino IEEE SM School of Computer Science and Engineering San Bernardino United States Jordan University of Science and Technology Computer Engineering Department Jordan San Jose State University Computer Engineering Department San Jose United States

ISBN: (数字)9781728183732

ISBN: (纸本)9781728183732

The global spread of the COVID-19 pandemic and its unprecedented impact not only on health and economy but almost on all aspects of our lives, including how we work, meet, communicate, collaborate, etc. Unfortunately, these changes and the transition to the virtual space in such a short time without proper planning created opportunities for bad actors in cyberspace. In the last few months, we have witnessed new treads and waves of cyber-Attacks targeting businesses, governments, health, and other critical services. Attackers try to take advantage of people's fear of the virus, vulnerabilities associated with data collection sensors and IoT devices, and eagerness to look for solutions or protections. In this study, we will survey the nature of cyberattacks related to the COVID-19 outbreak. Them, we will analyze related data to phishing attacks using Neural Networks. This analysis is covering different technical and socio-economical aspects. We will also evaluate states' countermeasures in response to such attacks. We propose a new IoT model. We define three layers;End User, Device or Sensors, and Cloud. We can combine the proposed model with the security and privacy policies to countermeasure the cybersecurity threats facing each layer. © 2020 IEEE.

关键词： COVID-19

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Colored Ant for Flow Management in Fog computing

Colored Ant for Flow Management in Fog Computing

引用

International conference on Communications, Signal Processing, and their Applications (ICCSPA)

作者： Kaouthar Sethom INNOV'COM Lab SUPCOM University of Carthage Tunisia

ISBN: (数字)9781728165356

ISBN: (纸本)9781728165363

Nowadays, users' demands are increasing in terms of data volume, interactivity, and multimedia quality. This put higher challenges on providers. Cloud operators are trying to improve network performance to fulfill application requirements and satisfy customers. However, this objective is still increasing in difficulty. Software-Defined Network (SDN) offers a new vision of the networking paradigm with more management flexibility. It simplifies networking by providing global visibility through a central controller. In this paper, we propose a new QoS aware flow management based on the SDN technique and Ant optimization algorithm in the scenario of Fog computing. The per-flow decision is taken more efficiently in the centralized controller based on specific metrics and flows classification. Performance experiments based on our implementation shows promising results.

关键词： Measurement Signal processing algorithms Quality of service Classification algorithms Delays Topology Edge computing

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Passive and Active Reconnaissance: A Social Engineering Case Study 8

Passive and Active Reconnaissance: A Social Engineering Case...

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8th International conference on Information Technology and multimedia, ICIMU 2020

作者： Hidayah Zulkiffli, Siti Nur Ahmad Zawawi, Md Nabil Rahim, Fiza Abdul College of Computing and Informatics Universiti Tenaga Nasional Department of Computing Malaysia

ISBN: (纸本)9781728173108

Love scams, online scams and how absurd as it may seem, still causes people to lose their money. This issue happens because some people are still susceptible to social engineering. Our investigation attempts to find out how people could be exploited for this type of social engineering attack on social media. Social engineering could be categorized into passive and active reconnaissance. Our experiment involves individuals such as UNITEN students and Instafamous to find out if such attempts would deceive them. The methodology proposed is the attack cycle that consists of four steps: information gathering, establishing relationship and rapport, exploitation, and execution. This case study will also explore the possible uses of valuable information of target that can be gathered based on passive and active reconnaissance © 2020 IEEE.

关键词： Social networking (online)

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Secure multimedia Content Retrievals via Multi-path Transmission in Named Data networking

Secure Multimedia Content Retrievals via Multi-path Transmis...

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International Wireless Communications and Mobile computing conference, IWCMC

作者： Jie Song Yanming Xue Tong Li Hao Xing School of Information and Electronics Beijing Institute of Technology Beijing P.R. China

Named Data networking (NDN), as a typical implementation for Information-Centric Network (ICN), has been introduced to solve some inherent problems that arise with today's TCP/IP network model and it has also been proven to have good prospects in multimedia services. Meanwhile, in the sensitive occasions, the security requirements of multimedia data transmission are higher. Due to the hacking techniques and misuse of cryptography, signed-packets can no longer be considered a safeguard from attacks. Adversaries with eavesdropping capability along a routing path can compromise the data privacy or even disconnect the end-to-end communications. So, we will propose a new way of solving the eavesdropping problem in NDN, a novel routing protocol namely multi-path content retrieval protocol(MPCRP). In our approach, we establish a new kind of multi-path forwarding table(MPFT), to establish the node-disjoint multi-path. Under the condition that no adversary obtains all pieces of privacy data, our approach can securely deliver the user privacy data against eavesdropping. The ndnSIM results demonstrate that our MPCRP achieves its design goals.

关键词： Wireless communication Data privacy TCPIP Network coding Routing Throughput Routing protocols

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Beyond Trends: Tiktok’s Educational Symphony by Unmasking the Digital Revolution

Beyond Trends: Tiktok’s Educational Symphony by Unmasking t...

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Technological Engineering and its Applications in Sustainable Development (ICTEASD), International conference for

作者： Miharaini Md Ghani Wan Azani Mustafa Mohd Ekram Alhafis Bin Hashim Hafizul Fahri Hanafi Laith H. Alzubaidi School of Communication Universiti Sains Malaysia Penang Malaysia Faculty of Electrical Engineering & Technology Universiti Malaysia Perlis Arau Perlis Department of Creative Multimedia Faculty of Art Sustainability and Creative Industry Universiti Pendidikan Sultan Idris Tanjong Malim Perak Department of Computer Science and Digital Technology Faculty of Computing and Meta-Technology Universiti Pendidikan Sultan Idris Tanjong Malim Perak Faculty of Engineering The Islamic University Najaf Iraq

ISBN: (数字)9798350336474

ISBN: (纸本)9798350336481

In the fast-paced digital age, TikTok has emerged as an unlikely protagonist in the realm of education, ushering in a bite-sized learning revolution. This comprehensive study delves into the captivating phenomenon of TikTok's educational content, unveiling its transformative impact on learners across generations and disciplines. Drawing from extensive empirical research and expert insights, the article will explore the intricate interplay between TikTok's snackable video format and its ability to foster knowledge acquisition and skill development. It illuminates how this platform's unique amalgamation of entertainment and education has redefined traditional learning paradigms, empowering users to consume and share knowledge in a highly engaging and democratized manner. Beyond trends unravels the cognitive mechanisms underpinning the effectiveness of bite-sized learning, shedding light on its potential to cater to diverse learning styles and attention spans. It examines the platform's role in democratizing access to education, enabling content creators and subject matter experts to reach unprecedented global audiences. Moreover, It provides a critical analysis of the challenges and opportunities that arise as bite-sized learning gains traction, offering invaluable insights for educators, policymakers, and stakeholders invested in shaping the future of education. With its multidisciplinary approach and forward-thinking perspectives, Beyond Trends serves as a comprehensive guide to navigating the digital learning landscape, empowering readers to harness the transformative potential of TikTok and its bite-sized educational content.

关键词： Video on demand Social networking (online) Navigation Subject matter experts Education Market research Motion pictures

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