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Advancements in Smart, Secure and Intelligent computing (ASSIC), International Conference on

作者： Yasmeen Raushan Mohd. Umar Nilamadhab Mishra School of Computing Science & Engineering VIT Bhopal Universty Madhya Pradesh India

All functional mechanisms in organisms are controlled by the genome. Gene changes and mutations can cause abnormalities and diseases. Diseases range from those caused by a single gene to complex ones. In an era of rapidly expanding environmental change, many diseases have occurred and new breeds have emerged due to mutations. It is important to diagnose the disease and start treatment immediately. Here, a technique was developed to subdivide disease and non-disease genes from GeneOntology based on GO aspect groupings. In this study, some existing research has been discussed. GeneOntology and DisGeNET are the two main data sources used in the system. The output of the system includes disease names caused by each aspect of GO and the disease gene.

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Navigating the Blockchain Landscape: Role, Challenges, Risks, and Issues in the Banking and Finance Sector 5

Navigating the Blockchain Landscape: Role, Challenges, Risks...

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5th IEEE International Conference on Cybernetics, Cognition and Machine Learning Applications, ICCCMLA 2023

作者： Kumar, Rajiv Saini, Manisha Vishwakarm, Ajeet Kumar Faizan, Ruby Rawat, Divya Negi, Deepak Shivalik College of Engineering Department of Computer Science and Engineering Uttarakhand Dehradun India Uttaranchal School of Computing Sciences Uttaranchal University Uttarakhand Dehradun India Dev Bhoomi Uttarakhand University Department of Computer Science and Engineering Dehradun India Haldwani UK India

ISBN: (纸本)9798350338287

Due to its potential to fundamentally alter a number of sectors of the financial services industry, blockchain technology has been attracting a lot of attention. However, several obstacles prevent its widespread adoption and application. Scalability is one of the biggest issues with blockchain technology. Traditional block chains, like those used by Bitcoin and Ethereum, have capacity and processing speed restrictions. For many large-scale applications, their low transactional capacity per second is insufficient. Their modest transactional throughput per second is insufficient for many large-scale applications. The complexity of blockchain protocols makes it more difficult for developers who may not be familiar with them to create blockchain apps because they need specialized knowledge and abilities. Considering the autonomous and international nature of blockchain networks, it can be difficult for organizations to traverse complex legal frameworks and maintain compliance with existing legislation. The blockchain business needs standardized frameworks and protocols, which causes complexity and restricts compatibility. Cryptocurrency-related negative instances including fraud, scams, and unlawful activity have stoked fears and stoked skepticism about the technology. Financial institutions, technology providers, regulators, and standardization bodies must work together to address these issues. To get over these barriers and realize the full potential of blockchain technology in the financial services industry, continued research and development activities are essential, as well as regulatory certainty. In this article, we conducted a methodical analysis of the blockchain technology, its use in the financial and economic sector, the current situation, and the difficulties. © 2023 IEEE.

关键词： Smart contract

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Naive Bayes and SVM-based Classification of Myocardial Tissue with Echocardiography Images for Heart Disease Diagnosis

Naive Bayes and SVM-based Classification of Myocardial Tissu...

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2023 International Conference on Sustainable Communication Networks and Application, ICSCNA 2023

作者： Jamunadevi, C. Prarthana, V. Arun Prasath, D. Pandikumar, S. Manimaran, M. Kongu Engineering College Department of CT-PG Erode Tamil Nadu Perundurai India Bengaluru India School of Computing Science and Engineering Vit Bhopal University Madhya Pradesh Bhopal India

ISBN: (纸本)9798350313987

Echocardiography is a non-invasive imaging technique for visualizing the heart and its functions. Accurate classification of myocardial tissue in echocardiography images is crucial for diagnosing and treating heart diseases. This research work suggests a new technique for categorizing cardiac tissue by utilizing the Naive Bayes (NB) and Support Vector Machine (SVM) algorithms. Preprocessing extracts texture, shape, and intensity-based features, followed by classification using NB and SVM. Evaluation metrics include accuracy, sensitivity, specificity, and precision. The results demonstrate high accuracy, with NB slightly outperforming SVM. The proposed method offers an efficient and accurate approach for clinical myocardial tissue classification, benefiting heart disease diagnosis and treatment. © 2023 IEEE.

关键词： Echocardiography Myocardial Naive Bayes SVM

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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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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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Effect of an inquiry-based teaching sequence on secondary school students’ understanding of wave optics

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Physical Review Physics Education Research 2024年第1期20卷 010156-010156页

作者： Maja Planinic Katarina Jelicic Karolina Matejak Cvenic Ana Susac Lana Ivanjek Department of Physics Faculty of Science Department of Applied Physics Faculty of Electrical Engineering and Computing School of Education

Wave optics is a mandatory part of Croatian secondary school physics curriculum for students in the final year of secondary school (age 18–19). Many physics education research studies have shown that it is a difficult physics topic for both university and secondary school students. An inquiry-based teaching sequence on wave optics, designed for eight 45-min teaching periods, was developed by the authors. The sequence included four investigative students’ experiments on the topics of interference, diffraction, and polarization of light, as well as several teacher demonstrations. The experimental group included six classes of students from six different Croatian urban secondary schools, who underwent the teaching intervention with the new inquiry-based sequence on wave optics, whereas the control group consisted of six classes from the same schools, taught in a predominantly lecturing way. Both groups were post-tested with the same instrument, the Conceptual Survey on Wave Optics (CSWO), to evaluate the research hypothesis that the new sequence might improve students’ conceptual understanding better than the traditional teaching. The results of the experimental and control groups were analyzed and compared using the Rasch analysis. The results show that the experimental group outperformed the control group in four out of five conceptual areas probed by the CSWO, suggesting that the new inquiry-based teaching sequence may contribute to stronger development of secondary school students’ conceptual understanding of wave optics, especially concerning typical wave optics patterns, reasoning from experiments, and explaining basic wave optics phenomena. A questionnaire on attitudes toward the teaching intervention was administered to students and it was found that students generally liked the inquiry-based teaching intervention and expressed positive attitudes to interactive, experimental, and collaborative aspects of physics teaching. The results are very promising, but the

关键词： Concepts & principles Instructional strategies Scientific reasoning & problem solving

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BFP-Net: Boundary Feature Pyramid for Medical Image Segmentation

BFP-Net: Boundary Feature Pyramid for Medical Image Segmenta...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Min, Shiquan Zhang, Xiang Wang, Shunfang Yunnan University School of Information Science and Engineering Kunming650504 China Yunnan University Yunnan Key Laboratory of Intelligent Systems and Computing Kunming650504 China

ISBN: (纸本)9798350337488

In this paper, we propose a novel method, namely boundary feature pyramid network (BFP-Net), which can effectively segment targets with blurred boundaries. Specifically, we first propose a global feature fusion module (GFFM) at the top of BFP-Net to fuse feature maps within different scales. It can learn more global region localization of the target and help the learning of boundaries more effectively. Then, we propose a series of boundary enhancement modules (BEMs) at the decoder to effectively extract and integrate boundary information during the upsampling process, thereby enhancing the ability to capture fine details (such as the boundaries). Furthermore, we introduce a boundary-enhanced composite loss function to effectively segment both the regions and their boundaries within different scales. Finally, extensive experiments on two widely-used datasets demonstrate that BFP-Net is more effective in fusing contextual information and guiding feature map boundaries compared to previous competitive methods. © 2023 IEEE.

关键词： Boundary enhancement Feature pyramid Global feature fusion Medical images Segmentation

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FedSKG: Self-supervised Federated Learning with Structural Knowledge of Global Model 29

FedSKG: Self-supervised Federated Learning with Structural K...

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29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023

作者： Li, Jun Luo, Dan Wei, Kang Mei, Zhen Shao, Yumeng Nanjing University of Science and Technology School of Electronic and Optical Engineering Nanjing China The Hong Kong Polytechnic University Department of Computing Hong Kong Hong Kong

ISBN: (纸本)9798350330717

Federated self-supervised learning (FedSSL) is an emerging method in the domain of machine learning. It collaboratively learns a powerful feature extractor among multiple participants by utilizing distributed unlabeled data. However, conventional FedSSL suffers from statistical heterogeneity due to the non-independent and identically distributed (Non-IID) data among participants. In this work, we introduce a novel method to tackle the Non-IID data issue in FedSSL. First, the relation knowledge distillation is utilized to enhance the learning from global models. Then, we dynamically update the local model with divergence-aware update (DAU) method to preserve the client's knowledge of Non-IID data. Our experimental results demonstrate that the proposed approach outperforms other methods by up to 8% on linear evaluation, verifying the effectiveness of our approach. © 2023 IEEE.

关键词： Federated self-supervised learning knowledge distillation non-independent and identically distributed

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