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Data Intelligence and Cognitive Informatics (ICDICI), International Conference on

作者： Mulpuri Jithendra M. Madhava Krishna M. Charan Sai P. Sri Harsha Supriya M Dept. of Computer Science and Engineering Amrita School of Computing Bengaluru India

ISBN: (数字)9798350389609

ISBN: (纸本)9798350389616

Using innovative technologies and creative strategies can help reduce fatalities and lessen the financial impact of accidents. This suggests a significant improvement in global traffic law enforcement and road safety advocacy. The study proposed in this paper uses an innovative approach to address the challenge of motorcyclists neglecting traffic regulations through a deep learning-driven framework. Using advanced pre-trained object detection models, the system accurately identifies helmetless motorcyclists and number plates. In addition, the proposed model does the Optical Character Recognition (OCR) to extract the license plate information from the identified motorcyclists who are not wearing helmets. The architecture was tested using an NVIDIA Jetson as the edge device, delivering quick performance, efficiently managing large data volumes, and optimizing resource use. Extensive testing and in-depth analysis show that the proposed approach is robust and highly beneficial. The proposed system integrates OCR algorithms, edge computing capabilities, and advanced deep learning techniques to offer a scalable solution for assisting law enforcement entities and enhancing traffic safety initiatives.

关键词： Law enforcement Computational modeling Writing Helmets Road safety Safety Time factors License plate recognition Edge computing Testing

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Study on Networking Models of SDN using Mininet and MiniEdit

Study on Networking Models of SDN using Mininet and MiniEdit

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Intelligent Data Communication Technologies and Internet of Things (IDCIoT), International Conference on

作者： Sreebha Bhaskaran Supriya M. Dept. of Computer Science and Engineering Amrita School of Computing Bengaluru India

Software Defined Networking (SDN) has brought about a revolutionary shift in network management and control. The driving force behind SDN's development is the need for enhanced network programmability and scalability to accommodate rapidly changing applications and services. By decoupling the control plane from the data plane, network managers gain centralized control and programmability over resources. This study explores the architecture, encompassing application, control layer, and data layer, while highlighting the pivotal role of controllers. In addition, this work also explores SDN using Mininet and MiniEdit emulators for designing custom topologies built based on real time scenarios. Consequently, the research aims to pinpoint the optimal topology suited for various applications.

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A Study and Analysis of Timetable Generation using a Genetic Algorithm

A Study and Analysis of Timetable Generation using a Genetic...

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Advances in computing, Communication Control and Networking (ICAC3N), International Conference on

作者： Sagar Choudhary Janarthanan. S Pranjal Maurya School of Computing Science and Engineering Galgotias University India

ISBN: (数字)9798350330861

ISBN: (纸本)9798350330878

A system of manually creating timetables is tedious in terms of time and resources for educators in universities with large numbers of students, and usually results in conflicting classes and multiple lectures assigned to the same professor. It will result in supplying an automated timetable maker can help you create exams and timetables. the system helps auto-generate and saves time. Avoid complex manual processes to set up and manage timetables. Here, the goal is to create a user-friendly, effective, and straightforward application that facilitates the process of creating and distributing timetables. The main algorithm used to generate timetables is the genetic algorithm. Organizing all the rules will help you create the optimal schedule. Teachers don’t have to worry about time conflicts. The system’s user interface is simple, interactive, and allows for inputs such the teacher’s name, the date of the classroom, the date of the lab, and the date of the topic. the programme features a well-designed database to keep track of all the data submitted. The system uses algorithms to handle all of the data in the database while taking both hard and soft limitations into consideration. A schedule generating method that use a genetic algorithm to find the best option. Instead of cumbersome paperwork, students and instructors may examine timetables immediately. The technique is simple to use and will assist you in creating an effective timetable.

关键词： Schedules Databases Software algorithms Sociology Optimal scheduling User interfaces Software

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Optimizing Empathetic Response by Generating and Integrating Emotion Feedback and Topic Discussion 28th

Optimizing Empathetic Response by Generating and Integrati...

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28th International Conference on Database Systems for Advanced Applications, DASFAA 2023

作者： Li, Jing Han, Donghong Feng, Shi Zhang, Yifei School of Computer Science and Engineering Northeastern University Shenyang China Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education Northeastern University Shenyang China

ISBN: (纸本)9783031306747

Expressing empathy is a trait in human daily conversation, in which people are willing to give responses containing appropriate emotions and topics on the basis of understanding the interlocutor’s situation. However, empathetic dialogue models trained by data-driven training method tend to generate general responses, which are usually monotonous and difficult to infuse emotions and topics concurrently. To solve this issue, we propose a novel model that generates two sub-responses, namely, emotion feedback and topic discussion, then integrates them to optimize empathetic responses. Specifically, in the sub-response generation stage, we introduce emotion lexicon and commonsense knowledge to make sub-responses focus on emotional words and topic-related words respectively, which drives the sub-responses to be contextually related from different perspectives. Afterward, we utilize cross attention to integrate the global information to optimize the final response. Our model is trained on the pre-trained language model BART. Experimental results show that our method can generate responses involving emotion and topic well, and compared with existing methods, empathy and relevance are improved. Our code is available at https://***/outsider-lj/edsgi_bart. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Digital storage

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Blockchain-Based Access Control with Decentralized Architecture for Data Storage and Transfer 1

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6th International Conference on Innovative computing and Communication, ICICC 2023

作者： Vanjipriya, V. Suresh, A. Department of Networking and Communications School of Computing Faculty of Engineering and Technology SRM Institute of Science and Technology Tamil Nadu SRM Nagar Kattankulathur Chennai603203 India

ISBN: (数字)9789819933150

ISBN: (纸本)9789819933143

When it comes to the security of data in the cloud storage model, access control is the most crucial factor. However, traditional methods of data sharing and access control present significant difficulties in the field of study due to issues like privacy data leakage and key abuse. The blockchain model also offers security because of the various encryption methods used for user authentication. Since this research focuses on the blockchain-based cloud, two major contributions are developed: one for effective access control and the other for privacy-based data sharing and retrieval. The first contribution implements a blockchain-based model for cloud-based access control and data sharing. This issue of a single point of failure in cloud architecture is effectively addressed by the developed blockchain-based access control and data sharing process. According to the credentials, the data user (DU) generates a registration request that is sent to the data owner (DO). In order to ensure safe transmission, an EHR application implements a data protection procedure. The cloud infrastructure incorporates components such as data consumers, data producers, blockchain transactions, smart contracts, and the Interplanetary File System (IPFS). To top it all off, DO includes a data protection algorithm for securing HER, wherein encrypted EHR is converted to IPFS before being shared with the data consumer. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Blockchain

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Tdbamla: Temporal and Dynamic Behavior Analysis in Android Malware Using Lstm and Attention Mechanisms

SSRN

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SSRN 2023年

作者： Misalkar, Harshal Devidas Harshavardhanan, Pon School of Computing Science and Engineering VIT Bhopal India

The increasing ubiquity of Android devices has precipitated a concomitant surge in sophisticated malware attacks, posing critical challenges to cybersecurity infrastructures worldwide. Existing models have achieved significant strides in malware detection but often suffer from high false-positive rates, lower recall, and computational delays, thus demanding a more efficient and accurate system. Current techniques primarily rely on static features and simplistic learning models, leading to inadequate handling of temporal aspects and dynamic behaviors exhibited by advanced malware. These limitations compromise the detection of modern, evasive malware, and impede real-time analysis. This paper introduces a novel framework for Android malware detection that incorporates Temporal and Dynamic Behavior Analysis using Long Short-Term Memory (LSTM) networks and Attention Mechanisms. We further propose development of an efficient Grey Wolf Optimized (GWO) Decision Trees to find the most salient API call patterns associated with malwares. An Iterative Fuzzy Logic (IFL) layer is also deployed before classification to assess the "trustworthiness" of app metadata samples. For Ongoing Learning, we propose use of Deep Q-Networks (DQNs), which helps the reinforcement learning model to adapt more quickly to changes in the threat landscapes. By focusing on crucial system calls and behavioral characteristics in real-time, our model captures the nuanced temporal patterns often exhibited by advanced malwares. Empirical evaluations demonstrate remarkable improvements across multiple performance metrics. Compared to existing models, our approach enhances the precision of malware identification by 8.5%, accuracy by 5.5%, and recall by 4.9%, while also achieving an 8.3% improvement in the Area Under the Receiver Operating Characteristic Curve (AUC), with higher specificity and a 4.5% reduction in identification delay. In malware pre-emption tasks, our model outperforms by improving precision

关键词： Iterative methods

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Tunnel-structured willemite Zn_(2)SiO_(4):Electronic structure,elastic,and thermal properties

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Journal of Advanced Ceramics 2022年第8期11卷 1249-1262页

作者： Ruqiao DAI Renfei CHENG Jiemin WANG Chao ZHANG Cuiyu LI Hailong WANG Xiaohui WANG Yanchun ZHOU Shenyang National Laboratory for Materials Science Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China School of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China Advanced Computing East China Sub-center Suma Technology Company LimitedKunshan 215300China School of Material Science and Engineering Zhengzhou UniversityZhengzhou 450001China Science and Technology on Advanced Functional Composite Laboratory Aerospace Research Institute of Materials&Processing TechnologyBeijing 100076China

Willemite Zn_(2)SiO_(4)crystallizes in such a way that Zn and Si are tetrahedrally coordinated with O in an ionic–covalent manner to form ZnO_(4)and SiO_(4)tetrahedra as the building *** tetrahedra are corner-sharing,of which one SiO_(4)tetrahedron connects eight ZnO_(4)tetrahedra,and one ZnO_(4)tetrahedron links four ZnO_(4)tetrahedra and four SiO_(4)*** unique crystallographic configuration gives rise to parallel tunnels with a diameter of 5.7Åalong the c-axis *** tunnel structure of Zn_(2)SiO_(4)definitely correlates with its interesting elastic and thermal *** the one hand,the elastic modulus,coefficient of thermal expansion(CTE),and thermal conductivity are ***_(2)SiO_(4)has low Vickers hardness of 6.6 GPa at 10 N and low thermal conductivity of 2.34 W/(m·K)at 1073 *** the other hand,the elastic modulus and CTE along the c-axis are significantly larger than those along the a-and b-axes,showing obvious elastic and thermal expansion ***,the Young’s modulus along the z direction(Ez=179 GPa)is almost twice those in the x and y directions(Ex=Ey=93 GPa).The high thermal expansion anisotropy is ascribed to the empty tunnels along the c-axis,which are capable of more accommodating the thermal expansion along the a-and *** striking properties of Zn_(2)SiO_(4)in elastic modulus,hardness,CTE,and thermal conductivity make it much useful in various fields of ceramics,such as low thermal expansion,thermal insulation,and machining tools.

关键词： Zn_(2)SiO_(4) electronic structure elastic properties thermal expansion thermal conductivity

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Learning Techniques of ECG Arrhythmia Classification: A Review 1

Learning Techniques of ECG Arrhythmia Classification: A Revi...

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1st International Conference on Cognitive computing and engineering Education, ICCCEE 2023

作者： Gupta, T. Raghavendra Nandhini, D. Uma HITAM Department of CSE T.S. Hyderabad India Vel Tech School of Computing Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350332803

Predicting cardiac arrhythmia for early detection of various cardiac conditions using Electrocardiogram (ECG) is a critical research area that can help to prevent adverse heart problems or even death. Cardiac Arrhythmia is a life threatening disease which can be effectively detected by analyzing the abnormalities in the heartbeat. Automated classification of the abnormal heartbeats using patterns and incidence based on non-linear dynamics of RR interval is a challenge for developing new algorithms. Analyzing the morphological features and quasi periodic nature of ECG to recognize the presence and lack of arrhythmia needs a complete survey of the work that is in existence. Several works have implemented in the recent years to automatically detect and classify the ECG signals using traditional algorithms as well as advanced machine learning algorithms. In this paper, we have presented a survey on those algorithms and its segmentation methods, preprocessing techniques and its feature descriptions. Classification challenges and limitations of existing approaches for arrhythmia, have been reviewed and deliberated. Here, our intention is to focus on classification of arrhythmia with highly assured outcomes that can be employed in decision support systems used in diagnosis. Furthermore, it display those results and the possible scope of machine learning methods as the most preferred way to predict cardiovascular diseases (CVD) based on the analysis of cardiac arrhythmia using ECG is presented as the outcome of the survey. The paper address the need of prediction of life threatening diseases like CVD by suggesting suitable methods to have a positive impact on clinical practices and improves the outcome of medical diagnostics. © 2023 IEEE.

关键词： Electrocardiograms

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Dynamic Key Generationfor Secure File Sharing System Using Time Stamp

Dynamic Key Generationfor Secure File Sharing System Using T...

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2024 International Conference on Innovative computing, Intelligent Communication and Smart Electrical Systems, ICSES 2024

作者： Annie Silviya, S.H. Hilda Jerlin, C.M. Mohana Suganthi, N. Helen Sathiya, V. Jayashree, R. Oviya, N. Rajalakshmi Institute of Technology Chennai India Artificial Intelligence and Data Science Panimalar Engineering College Chennai India School of Computing Computer Science and Engineering Vel Tech Rangarajan Dr Sagunthala R&d Institute of Science and Technology Chennai India Vel Tech Multi Tech Dr Rangarajan Dr Sakunthala Engineering College Chennai India

ISBN: (纸本)9798331543617

Dynamic key generation for secure file sharing system using timestamp is a novel approach to military-based secure file sharing, which adds an additional layer of security to AES-2S6 which is prominently considered as the military-grade encryption. It is designed to enhance the confidentiality and integrity of transmitted files. When a Sender uploads a file, the system prompts for a character, converts it to its ASCII value, adds the current system time value to it and utilizes this aggregated value as a unique code to secure the uploaded file. To retrieve a file, the user must possess either the file key or initiate the retrieval process during the exact time of the original upload or in the next precise clock cycle. The combination of these factors provides an extra layer of security, making unauthorized access significantly more challenging. © 2024 IEEE.

关键词： Cryptography Encryption File Sharing System Timestamp

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Dual-Control Reconfigurable Intelligent Metasurface: Design and Realization 6

Dual-Control Reconfigurable Intelligent Metasurface: Design ...

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6th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2023

作者： Zheng, Kangtai Chung, Kwok L. Li, Yuzhong Lai, Guoming Wang, Jianhai Li, Yingsong School of Computer Science and Engineering Huizhou University Huizhou516007 China Anhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education China

ISBN: (纸本)9798350399059

A dual-control reconfigurable intelligent metasurface (DC-RIMS) composed of 24× 22 symmetric cells in the 5G mid-band is proposed. The DC-RIMS of non-artificial-magnetic-conductor type provides a smaller phase resolution of 60° with 2 bits under normal incidence. Angular sensitivities of the RIMS under oblique incidence are investigated. Our results show that the reflection responses at elevation angles are more sensitive than the azimuth angles, whereas the maximum phase differences are differed from each polarization. The horizontal one increases to 220° whereas the vertical one reduces to 150° as compared with overlapped 180° under normal incidence. © 2023 IEEE.

关键词： Beamforming

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