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2019 International Conference on Computing, Power and Communication Technologies, GUCON 2019

作者： Kanika, Kanika Chakraverty, Shampa Chakraborty, Pinaki Agnihotri, Shikhar Bansal, Prakriti Mohapatra, Soumya Netaji Subhas University of Technology Division of Computer Engineering New Delhi India

ISBN: (纸本)9789353510985

technology is touching every aspect of our lives and learning is not an exception. Mobile technologies and e-learning can be used to eliminate the boundaries of classroom. To circumvent the boundaries imposed by classroom and incorporate real-world elements as a part of the learning process, there is a need to establish a connection between class and the dynamic environment. In an attempt to take studies outside the classroom boundaries and use the real-world as a component in learning, we propose a system with an aim to improve link classroom studies with the outside world. Taking classroom studies as the basis, the system explores World Wide Web to find its applications in augmenting the teaching-learning process. These probable applications are recommended to the students. Although a large number of educational recommender systems are in use, having such recommender system can keep the interest of students alive by presenting some surprising *** conducted a survey and collected responses from 69 students enrolled in the second and third years of the undergraduate program in computer engineering in our university. An analysis of the responses obtained shows that the students find the information recommended relevant to their observations as well as interesting. This indicates that the inclusion of dynamic environment in the process of learning in a personalized manner can lead to better learning outcomes. © 2019 Galgotias University.

关键词： Students

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AI Enabled- Information Retrival Engine (AI-IRE) in Legal Services: An Expert-Annotated NLP for Legal Judgements

AI Enabled- Information Retrival Engine (AI-IRE) in Legal Se...

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Augmented Intelligence and Sustainable Systems (ICAISS), International Conference on

作者： Kishan Kanhaiya Naveen Arpit Kumar Sharma Kamlesh Gautam Pramod Singh Rathore Netaji Subhas University of Technology Delhi India National Institute of Technology Kurukshetra India Department of Computer and Communcation Engineering Manipal University Jaipur India Department of Advance Computing Poornima College of Engineering Jaipur Rajasthan India

The relationships between the law and fact, and the use of the facts to support a legal conclusion requires practice. This study introduces a technique called the "legal analysis of data extraction" which helps students/law practitioners to quickly assess a law article on the basis of the extracted attributes, and then apply their understanding in order to support a legal conclusion. To ease the processing of the law text data and retrieval of important information (entities) like names of Judges, appellants, respondents, judgment dates, etc. by utilizing NLP processes and ML techniques. This study demonstrates a novel approach of advanced information retrieval in the law articles leveraging natural language processing and machine learning techniques which are productized and used on live data as well. In this custom NER, aggregate accuracy of 95% is achieved using text classification followed by a regex fallback and flagging mechanism. This study consists of the following sections- a) Introduction b) Related Work c) About Dataset d) Methodology and approach e) Fallback mechanisms f) Results and Evaluations g) Conclusions & Future Scope with h) References.

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Multi-attributed and structured text-to-face synthesis

Multi-attributed and structured text-to-face synthesis

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2020 IEEE International Conference on technology, engineering, Management for Societal Impact Using Marketing, Entrepreneurship and Talent, TEMSMET 2020

作者： Wadhawan, Rohan Drall, Tanuj Singh, Shubham Chakraverty, Shampa Netaji Subhas Institute of Technology Department of Computer Science and Engineering New Delhi India Netaji Subhas University of Technology Department of Computer Science and Engineering New Delhi India

ISBN: (纸本)9780738142715

Generative Adversarial Networks (GANs) have revolutionized image synthesis through many applications like face generation, photograph editing, and image super-resolution. Image synthesis using GANs has predominantly been uni-modal, with few approaches that can synthesize images from text or other data modes. Text-to-image synthesis, especially text-to-face synthesis, has promising use cases of robust face-generation from eye witness accounts and augmentation of the reading experience with visual cues. However, only a couple of datasets provide consolidated face data and textual descriptions for text-to-face synthesis. Moreover, these textual annotations are less extensive and descriptive, which reduces the diversity of faces generated from it. This paper empirically proves that increasing the number of facial attributes in each textual description helps GANs generate more diverse and real-looking faces. To prove this, we propose a new methodology that focuses on using structured textual descriptions. We also consolidate a Multi-Attributed and Structured Text-to-face (MAST) dataset consisting of high-quality images with structured textual annotations and make it available to researchers to experiment and build upon. Lastly, we report benchmark Fréchet's Inception Distance (FID), Facial Semantic Similarity (FSS), and Facial Semantic Distance (FSD) scores for the MAST dataset. © 2020 IEEE.

关键词： Generative adversarial networks

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Deep Q-Network Dueling-Based Opportunistic Data Transmission in Blockchain-Enabled M2M Communication

Deep Q-Network Dueling-Based Opportunistic Data Transmission...

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IEEE Conference on Global Communications (GLOBECOM)

作者： Jagdeep Singh Sanjay Kumar Dhurandher Isaac Woungang Department of Computer Science and Engineering Sant Longowal Institute of Engineering and Technology Longowal Punjab India Department of Information Technology Netaji Subhas University of Technology New Delhi India National Institute of Electronics and Information Technology New Delhi India Department of Computer Science Toronto Metropolitan University Toronto ON Canada

The growth of the opportunistic network (OppNet) in recent years has created a variety of opportunities and concerns. Machine-to-machine (M2M) communications, which are a critical component of OppNet, provide a novel means for connecting and communicating among machine-type communication devices (MTCDs) without the need for human interaction. OppNet data play a significant role in M2M communications and it emphasizes more powerful data storage, computation, processing, as well as the security and stability of data transfer. This paper proposes a joint optimization framework for dueling Deep Q-network (DQN)-based opportunistic data transmission in M2M communication using blockchain technology. The best choice and decision of caching servers, blockchain systems, and computing nodes, can be made in accordance with the dynamic decision-making process by DQN, a decision to increase the system incentives, including high data processing efficiency, lower cost, and improved data interaction security. Simulation results using various parameters demonstrate that the proposed model has more benefits and is more efficient than the existing random, greedy, and Conventional DQN benchmark schemes.

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Analysis of Prevalence and Effectiveness of Mobile Devices and Wearables in the Domain of Education

Analysis of Prevalence and Effectiveness of Mobile Devices a...

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Computational Performance Evaluation (ComPE), International Conference on

作者： Arshia Kaul Pooja Pooja Division of Computer Engineering Netaji Subhas University of Technology New Delhi India

ISBN: (纸本)9781665436571

Significant developments in the field of wireless communication, networking and semiconductors have paved the way for ubiquity of mobile technology. Being lightweight, portable and affordable, it is used by a large number of students and academicians worldwide. This has given rise to MOOCs- a method of disseminating knowledge that is almost entirely reliant on the use of mobile technologies. This study involves a survey of 120 people to document the prevalence and use of various mobile devices used by students, and the extent of challenges faced by them in doing so. The data is analyzed using certain Python libraries. 42.5% of the participants had completed their senior secondary schooling. 53.3% participants were graduates. Despite being owned by an equal number of respondents, laptops fared better than smartphones for their role in education by a margin of 29.2%. The market share of wearable devices is significantly low as compared to other mobile devices. Among those who owned wearables, only 3.3% used them for educational purposes. Although a remarkable 81.7% have used MOOCs at least once, only 57.6% admit that MOOCs have helped them excel in their career. As affirmed by the survey, smartphones and laptops have become crucial means to impart knowledge. Wearable technology is a relatively new and developing field with untapped scope in education. While MOOCs face challenges due to the massive participation in these courses, they still act as stepping stones for students to improve their skills and augment their knowledge.

关键词： Wireless communication Performance evaluation Technological innovation Portable computers Electronic learning Wearable computers Education

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Demystifying Cyber terrorism: Causes, Costs & its impact on individuals’ psyche and public confidence

Demystifying Cyber terrorism: Causes, Costs & its impact on ...

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Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON), International Conference on

作者： Syed Rameem Zahra Tausifa Jan Saleem Sonia Department of Computer Science and Engineering Netaji Subhas University of Technology Delhi India Department of Electrical Engineering Indian Institute of Technology Delhi Delhi India Yogananda School of AI Computer and Data Science Shoolini University Solan H.P India

Just like the game for Information technology (IT) security was turned topsy-turvy by the arrival of mobile devices a few decades ago, the Internet of Things (IoT) today is changing it again a big time. Data breaches, loss of productivity and profitability were quite a commonplace when mobile security became an issue. Today as IoT tries to connect everything to the internet, it intensifies the problem (more privacy violations, phishing/skimming attacks, security incidents) by creating a vast attack surface for the rogue players implying that important national (ports, airports, bridges, power-pants etc.) and cyber infrastructure could now be attacked. Moreover, if the network of your company has a weak point, it can easily be compromised to set off an attack. These Cyber terrorism attacks instigate identical responses from individuals as those for conventional terrorism attacks e.g. they heighten anxiety and stress, worsen feelings of vulnerability and harden the political attitudes of people. But this dimension is often overlooked by the policy makers. However, the increase in cyber terrorism cases has increased the research interest in the domain. Researchers are focusing on improving the security of internet and IoT devices. The field is still in its infancy. A lot needs to be done to mitigate these attacks. Motivated to demystify the repercussions of the cyber terrorism, this paper analyzes the distinctive characteristics of the most significant cyberattacks, investigates the expenditures incurred by the industries as a result of these cyber events, and then examines the impact of these attacks on the psychological health of the populace and the trust in public institutions.

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Data Protection for Backups and Recovery in Cloud Storage

Data Protection for Backups and Recovery in Cloud Storage

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Smart Generation Computing, Communication and Networking (SMART GENCON), International Conference on

作者： Abhijeet Kumar Ayan Kumar Das Department of Electronics and Communication Engineering Netaji Subhas Institute of Technology (NSIT) Bihta Patna Department of Computer Science & Engineering BIT Patna Mesra Campus

Cloud provides its users with different services. Every day during cloud computing, a great deal of data is generated. The data should be saved on the cloud servers properly. If this data is missing from the server, a mechanism to retrieve this data should be created. This study states one such solution. The proposed scheme would allow the data to be stored simultaneously on the cloud server and the remote server. The data is returned from the remote server when the key file is lost. Secret key security is ensured so that the authentication is secure and authorized by the user based on the attributes of backup and recovery. A cloud is a distinct Information technology infrastructure designed to provide its users with different facilities that can be accessed remotely. Cloud refers to the term network of networks that support access to decentralized Information technology resources. Cloud uses the Internet as well as the remote central servers to manage consumers and businessmen's data and applications. This helps to save the consumer from costs and room problems. It is a technology that makes data collection, processing, and bandwidth much more centralized. A cloud has a certain limit, as it is a certain framework used to provide resources remotely. The Internet offers access to a vast number of clouds. Whereas the Internet offers free access to several web-based Information technology services, a cloud is generally private and provides wireless data resources. Much of the Internet is accessible via the web service to Information technology services. On the other hand, the Information technology services supplied by cloud environments are intended to provide back-end computing capabilities and browser access.

关键词： Wireless communication Cloud computing Ciphers Virtual machine monitors Web services Transforms Safety

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Simulation studies on aerodynamic features of Eurofighter Typhoon and Dassault Rafale combat aircraft

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Materials Today: Proceedings 2021年 38卷 191-197页

作者： Lohit Malik Sachin Rawat Manish Kumar Abhishek Tevatia Division of Manufacturing Processes and Automation Engineering Netaji Subhas Institute of Technology University of Delhi New Delhi 110 078 India Department of Mechanical Engineering Netaji Subhas University of Technology New Delhi 110 078 India

Comparative study using computational fluid dynamics (CFD) of aircraft Eurofighter Typhoon and Dassault Rafale is carried out while presenting the importance of examining the complete aircraft including all the components and its cruciality in enhancing the performance during flight. The results obtained using ANSYS Fluent (19.2) yields variation in temperature, pressure and shear stress on the surface of both the aircraft. The comparison over the complete surface reveals that Eurofighter is under lower pressure (2% lower for Mach 1 and 3.33% for Mach 1.8), the shear stress is always smaller on Rafale than on the Eurofighter (78.6% lower for Mach 1 and 73% for Mach 1.8) and the temperature on Rafale is higher by 1% for Mach 1 whereas lower by 1.25% for Mach 1.8. On the other hand, during analysis of the front section, all the parameters show an increment with the rise in speed (Mach 1 to Mach 1.8) for the case of Rafale whereas the design of Eurofighter is such that some unforeseen behaviour is noticed. For example, the pressure plot for the speeds corresponding to Mach 1 and Mach 1.8 comprise of several crests and throughs whose amplitude varies along the highlighted length and the shear stress is minimum for Mach 1.5. These results show that the structure and design of aircraft have colossal effect on the performance of the aircraft based on the preferred purpose that exhibit the extremity of the parameters discussed.

关键词： Eurofighter Typhoon Dassault Rafale CFD Pressure & temperature distribution Shear stress investigation Nosecone exploration

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A Buffer Occupancy Estimation Model for Opportunistic Networks

A Buffer Occupancy Estimation Model for Opportunistic Networ...

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Biennial Symposium on Communications, QBSC

作者： Jagdeep Singh Sanjay K. Dhurandher Isaac Woungang Periklis Chatzimisios Department of Computer Science and Engineering Sant Longowal Institute of Engineering and Technology Longowal India Department of Information Technology Netaji Subhas University of Technology New Delhi India Department of Computer Science Toronto Metropolitan University Toronto ON Canada International Hellenic University Thessaloniki Greece University of New Mexico USA

When designing routing schemes for opportunistic networks (OppNets), node's buffer congestion is one of the major concerns. Most buffer management schemes for OppNets are reactive ones, which require that more messages be transmitted. In this paper, a Buffer Occupancy Estimation Model (denoted BOEM) for OppNets is proposed, which uses the Chernoff's bound to estimate the expected buffer occupancy of any node without involving the communication of messages. Through simulations using both the realistic and synthetic mobility models, the effectiveness of the proposed model is proven, showing that it can significantly reduce the overall quantity of messages sent while leading to reduce node's buffer congestion.

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Comparison of LSCP and Cluster Coverage Model for Emergency Train’s Assets Management:Use Case;North Eastern Railway

Comparison of LSCP and Cluster Coverage Model for Emergency ...

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Maintenance and Intelligent Asset Management (ICMIAM), International Conference on

作者： Kshitij Mishra Swastika Mishra Abhyuday Computer Engineering International Institute of Information Technology Hyderabad India Mechanical Engineering Netaji Subhas University of Technology New Delhi Indian Railways Service of Mechanical Engineers Indian Institute of Technology Kharagpur India

Deployment of Accident Relief Medical Vans (ARMV) used for accident relief and rescue operations is generally done heuristically. ARMV is an ambulance-train equipped with various tools like jacks, heavy cutting tools, generators, operation theatre, artificial breathing equipment etc. to ease the rescue process. Taking North Eastern Railway (NER) as a case study, Location Set Covering Problem (LSCP) model will be used to find the minimum number of ARMVs required for the given network and their locations so that all demand points can be ‘covered’ within a maximum of one hour @ 100 kmph for each of the nearest facility. This paper proposes a new mathematical model based on the Cluster Coverage Model (CCM) to provide a better coverage of ARMV’s demands. We have used Girvan-Newman (GN) algorithm, a weight-based graph for clustering of NER network where nodes are taken as depots with ARMV parking facilities & crew availability and distance between these nodes is taken as edge weight of the graph. Finally, we present a comparison of results between the proposed cluster coverage models with LSCP and suggest relocations of the existing ARMVs and show that our proposed model is economical and provides a better coverage of ARMVs demands.

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