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Deep learning-based open API recommendation for Mashup development

Science China(information Sciences) 2023年第7期66卷 94-111页

作者： Ye WANG Junwu CHEN Qiao HUANG Xin XIA Bo JIANG School of Computer and Information Engineering Zhejiang Gongshang University Software Engineering Application Technology Lab

Mashup developers often need to find open application programming interfaces(APIs) for their composition application development. Although most enterprises and service organizations have encapsulated their businesses or resources online as open APIs, finding the right high-quality open APIs is not an easy task from a library with several open APIs. To solve this problem, this paper proposes a deep learning-based open API recommendation(DLOAR) approach. First, the hierarchical density-based spatial clustering of applications with a noise topic model is constructed to build topic models for Mashup clusters. Second,developers' requirement keywords are extracted by the Text Rank algorithm, and the language model is built. Third, a neural network-based three-level similarity calculation is performed to find the most relevant open APIs. Finally, we complement the relevant information of open APIs in the recommended list to help developers make better choices. We evaluate the DLOAR approach on a real dataset and compare it with commonly used open API recommendation approaches: term frequency-inverse document frequency, latent dirichlet allocation, Word2Vec, and Sentence-BERT. The results show that the DLOAR approach has better performance than the other approaches in terms of precision, recall, F1-measure, mean average precision,and mean reciprocal rank.

关键词： Mashup development open API recommendation deep learning neural network service discovery

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Designing blockchain based secure autonomous vehicular internet of things (IoT) architecture with efficient smart contracts

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International Journal of information technology (Singapore) 2025年第2期17卷 1207-1223页

作者： Hemani Singh, Dayashankar Dwivedi, Rajendra Kumar Department of Information Technology and Computer Application Madan Mohan Malaviya University of Technology UP Gorakhpur India

The future of autonomous vehicles is exciting and holds significant potential for transforming transportation. The future is bright, but these vehicles require a high degree of connectivity complex software to function effectively. This connectivity, however, can also create a pathway for cyberattacks. If a hacker gains access to a connected vehicle, they may be able to control its systems, steal data, or cause it to malfunction. Additionally, the software systems might have flaws or vulnerabilities that intruders could take advantage of. The paper describe how blockchain technology can help to create a tamper-proof and transparent system that enables secure sharing of data between the nodes of autonomous vehicular (AV) network. A smart contract is utilized to establish predefined rules and conditions for data sharing and access. The paper proposes a efficient approach for securing the information of AVs and improving the safety and reliability of AV networks. In this proposed work, smart contracts are implemented using solidity language and deployed a blockchain using Ganache, and truffle development framework to create a test system while MATLAB is utilized for analysis. And the system configurations are Intel Core i5 CPU (2.30 GHz and 8 GB RAM). © The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of computer applications and Management 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s);author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

关键词： Autonomous vehicles Blockchain Fan-Vercauteren Smart contracts

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Enabling Security in Healthcare IoT System Using Blockchain with Efficient Consensus Protocols and Smart Contracts 6th

Enabling Security in Healthcare IoT System Using Blockchain ...

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6th International Conference on Recent Innovations in Computing, ICRIC 2023

作者： Shrivastava, Atul Lal Dwivedi, Rajendra Kumar Prakash, Shiva Department of Information Technology and Computer Application MMMUT Gorakhpur India

ISBN: (纸本)9789819778614

Electronic Medical Records (EMRs) in hospitals are generally handled by a centralized cloud provider. However, it creates one solitary area of vulnerability, and who are the real owners may lose track of them. To protect the sharing of EMRs among various entities involved in the smart healthcare system, this study seeks to build a smart contract-based access control system on top of a distributed ledger with blockchain. For this, we recommend using smart contracts in four different ways for user authentication. In the proposed system, the hashes of the EMRs are created and added to the Ethereum blockchain. The EMRs themselves are encrypted and saved in the cloud utilizing the cryptographic functions of Elliptic Curve Cryptography (ECC) and Edwards-Curve Digital Signature Algorithm (EdDSA), considering both the massive volume of patient data and the ledger's block size. Performance evaluation with a private Ethereum system is used to observe how well the recommended access control architecture works in the real-time smart healthcare system. Results show that the proposed model outperforms the existing schemes. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Electronic health record

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Multispectral point cloud superpoint segmentation

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Science China(Technological Sciences) 2024年第4期67卷 1270-1281页

作者： WANG QingWang WANG MingYe ZHANG ZiFeng SONG Jian ZENG Kai SHEN Tao GU YanFeng Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming 650500China Yunnan Key Laboratory of Computer Technologies Application Kunming 650500China School of Electronics and Information Engineering Harbin Institute of TechnologyHarbin 150001China

The multitude of airborne point clouds limits the point cloud processing *** are grouped based on similar points,which can effectively alleviate the demand for computing resources and improve processing ***,existing superpoint segmentation methods focus only on local geometric structures,resulting in inconsistent spectral features of points within a *** feature inconsistencies degrade the performance of subsequent ***,this study proposes a novel Superpoint Segmentation method that jointly utilizes spatial Geometric and Spectral information for multispectral point cloud superpoint segmentation(GSI-SS).Specifically,a similarity metric that combines spatial geometry and spectral information is proposed to facilitate the consistency of geometric structures and object attributes within segmented *** the formation of the primary superpoints,an intersuperpoint pointexchange mechanism that maximizes feature consistency within the final superpoints is *** are conducted on two real multispectral point cloud datasets,and the proposed method achieved higher recall,precision,F score,and lower global consistency and feature classification *** experimental results demonstrate the superiority of the proposed GSI-SS over several state-of-the-art methods.

关键词： multispectral point cloud superpoint segmentation over-segmentation spatial-spectral joint metric

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A Survey of Machine Learning Techniques Related to Understanding Autism Spectrum Disorder 2

A Survey of Machine Learning Techniques Related to Understan...

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2nd International Conference on Disruptive Technologies, ICDT 2024

作者： Kumar, Anil Jaiswal, Umesh Chandra Information Technology & Computer Application Madan Mohan Malaviya University of Technology Gorakhpur India

ISBN: (纸本)9798350371055

Speech, social skills, non-verbal communication, and repetitive activities are all indicators of autism spectrum disorder (ASD), a disease classified as a spectrum disorder by the DSM-5. Gender plays a role in the prevalence of ASD. If ASD isn't caught early enough, the damage is done. It's been a while since computer-aided ASD diagnosis made a lot of progress, which is talked about in this work. This article explores virtual reality for people with ASD with a focus on training and intervention. Our taxonomy categorizes prior VR training for people with ASD into two categories: immersive and regular (non-immersive) VR systems, which we present and put into practice. To fill up the knowledge gaps, we conducted a comprehensive analysis of the existing literature and offered suggestions for further investigation. It is the goal of this study to categorize and review various machine learning approaches, as well as analyze the characteristics of ASD and performance evaluation using various measures. People with ASD have difficulties with social interaction, communication, and other aspects of their cognitive and behavioural development. According to this review, the Random Forest method outperforms other algorithms. © 2024 IEEE.

关键词： Autism Spectrum Disorder (ASD) Data Mining Feature Extraction Image Fusion Machine Learning Typical Controls (TC)

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HRAM-VITON: High-Resolution Virtual Try-On with Attention Mechanism

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computers, Materials & Continua 2025年第2期82卷 2753-2768页

作者： Yue Chen Xiaoman Liang Mugang Lin Fachao Zhang Huihuang Zhao College of Computer Science and Technology Hengyang Normal UniversityHengyang421002China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002China

The objective of image-based virtual try-on is to seamlessly integrate clothing onto a target image, generating a realistic representation of the character in the specified attire. However, existing virtual try-on methods frequently encounter challenges, including misalignment between the body and clothing, noticeable artifacts, and the loss of intricate garment details. To overcome these challenges, we introduce a two-stage high-resolution virtual try-on framework that integrates an attention mechanism, comprising a garment warping stage and an image generation stage. During the garment warping stage, we incorporate a channel attention mechanism to effectively retain the critical features of the garment, addressing challenges such as the loss of patterns, colors, and other essential details commonly observed in virtual try-on images produced by existing methods. During the image generation stage, with the aim of maximizing the utilization of the information proffered by the input image, the input features undergo double sampling within the normalization procedure, thereby enhancing the detail fidelity and clothing alignment efficacy of the output image. Experimental evaluations conducted on high-resolution datasets validate the effectiveness of the proposed method. Results demonstrate significant improvements in preserving garment details, reducing artifacts, and achieving superior alignment between the clothing and body compared to baseline methods, establishing its advantage in generating realistic and high-quality virtual try-on images.

关键词： Virtual try-on attention mechanism high-resolution image generation

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application of adaptive guard channel reservation under hard handoff constraint in wireless cellular network

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International Journal of Wireless and Mobile Computing 2025年第2期28卷 170-185页

作者： Sahu, Promod Kumar Pati, Hemanta Kumar Pradha, Sateesh Kumar Department of Computer Science and Application Utkal University Vani Vihar Odisha Bhubaneswar India Department of Computer Science and Engineering International Institute of Information Technology Bhubaneswar Odisha Bhubaneswar India

Voice is the king of communication in wireless cellular network (WCN). Again, WCNs provide two types of calls, i.e., new call (NC) and handoff call (HC). Generally, HCs have higher priority than NCs because call dropping gives negative impact to users as compared to call blocking. So, to handle this problem some channels are reserved for HCs. If more channels are reserved for HCs, then handoff call dropping probability (HCDP) decreases at the same time as new call blocking probability (NCBP) increases;if fewer channels are reserved for HCs, HCDP increases and NCBP decreases. If channels are reserved for HCs by considering target HCDP then HCDP will be below the target and NCBP will be minimum for that target. So, keeping this in mind in this paper, we propose a mathematical model that estimates optimal number of guard channels (GCs) for HCs by considering target HCDP and keeping NCBP minimum. The mathematical model proposed assume static traffic parameters. However, in reality, the user traffic is dynamic and usually inherited through its testbed implementation. To obtain optimal performance we propose an adaptive GC reservation scheme by considering hard handoff constraint while implementing this model through testbed. Finally, we have verified testbed results with those of the model-based approach applying the parameters of different Global System for Mobile Communication (GSM) standards to evaluate its applicability to real systems. Copyright © 2025 Inderscience Enterprises Ltd.

关键词： Testbeds

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Enhancing Scalability in Sharding Blockchain via Interoperability Protocol 5th

Enhancing Scalability in Sharding Blockchain via Interoperab...

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5th International Conference on Trends in Computational and Cognitive Engineering, TCCE 2023

作者： Maurya, Alka Dwivedi, Rajendra Kumar Department of Information Technology and Computer Application Madan Mohan Malaviya University of Technology Gorakhpur India

ISBN: (纸本)9789819719228

Blockchain technology has shown immense promise in revolutionizing various industries by offering secure and open decentralized solutions. Popular blockchain networks still struggle with scalability, which limits their potential for widespread adoption. A suggested alternative, sharding, divides the blockchain into more manageable, smaller chunks to boost throughput and transaction capacity. Sharding is the extensively used approach to the trilemma of simultaneously attaining decentralization, security, and scalability in traditional blockchain systems. Although sharding has many advantages, it also poses problems with inter-shard communication and data consistency. The focus of this thesis is to explore how interoperability between shards can be leveraged to enhance scalability in sharding blockchains. Our goal is to increase the blockchain ecosystem's scalability, efficiency, maintaining transparency, security, throughput, and usability by enabling seamless communication and data sharing between shards. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Blockchain

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New Proper Reparameterization of Plane Rational Bézier Curves

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Journal of computer Science & technology 2024年第5期39卷 1193-1206页

作者： Zhen-Fei Wang Xiao-Diao Chen Jun-Hai Yong School of Computer Hangzhou Dianzi UniversityHangzhou 310018China Haihe Laboratory of Information Technology Application Innovation Tianjin 300480China School of Software Tsinghua UniversityBeijing 100084China

Coincidence detection of two curves or two surfaces has wide application in computer-aided design(CAD)and computer-aided geometric design(CAGD).Proper reparameterization is the most complicated part in the *** paper presents and proves the efficient and necessary coincidence condition for two rational Bézier curves in a new *** also proposes an effective and efficient proper reparameterization method,Algorithm 1,for detecting a rational Bézier curve which can be degenerated into a new one of a lower degree.A numerical proper reparameterization method,Algorithm 2,and examples are also *** 1 is up to ten times faster than other prevailing methods,and Algorithm 2 is twice as fast and half as close as other prevailing *** CAD systems using Algorithm 1 and Algorithm 2 will hold accuracy and little computation time.

关键词： rational Bézier curve coincidence condition control polygon degeneration proper reparameterization

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Security Enhancement in Tea Supply Chain using Blockchain with Hyperledger 2

Security Enhancement in Tea Supply Chain using Blockchain wi...

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2nd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024

作者： Gupta, Amritesh Kumar Dwivedi, Rajendra Kumar Madan Mohan Malaviya University of Technology Dept. of Information Technology and Computer Application Gorakhpur India

ISBN: (纸本)9798350327533

With the advancement of technology and emergence of blockchain, it has become quite a popular tool which is often integrated with systems and processes that require decentralization, traceability, consistency etc. One such area is of supply chain management. Often the raw materials used to make a final product do not come from a single source and hence there has been always a risk of making counterfeit, cloned item of the same. Same goes in the case of tea powder production too. Seeds used and leaves planted come from different sources which collectively determine the quality of the end tea powder. The proposed work tackles issues not only by providing traceability but also contributes in the overall security of the system by making use of Hyperledger fabric and Elliptic Curve Digital Signature Algorithm (ECDSA). In addition to these features, cross platform payment is also made possible by integrating the system with bridges. By making use of Hyperledger fabric and Interplanetary File System (IPFS), latency is decreased as well as throughput is increased. Additionally, making use of ECDSA provides same level of security with smaller key size and generates signature faster as compared to other cryptographic algorithms like Rivest-Shamir-Adleman (RSA). © 2024 IEEE.

关键词： Blockchain Elliptic Curve Digital Signature Algorithm (ECDSA) Internet of Things (IoT) Interplanetary File System (IPFS) Supply Chain Management Tea Supply Chain

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