2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)最新文献_第5页

Application of AI in Library Digital Reading Promotion Service 人工智能在图书馆数字阅读促进服务中的应用

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10100096

Xiao Lin, Yuyan Sun, Y. Zhang, Kushalatha M R

{"title":"Application of AI in Library Digital Reading Promotion Service","authors":"Xiao Lin, Yuyan Sun, Y. Zhang, Kushalatha M R","doi":"10.1109/ICICACS57338.2023.10100096","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10100096","url":null,"abstract":"The advent of the era of great intelligence not only breeds new momentum for the transformation of library services, but also makes library services face challenges and opportunities of forced remodeling. The digital reading promotion service of the library will be provided by a third-party company. Companies that provide digital reading promotion services are often referred to as “data aggregators”. Digital reading is a new trend of library development. It is found that many people read books online, and they do not need to buy them. As a result, the number of readers is increasing every day. In order to meet the needs of these readers, libraries should provide them with good services, which can be achieved through artificial intelligence technology. AI technology can help libraries improve the services they provide to users by identifying customers' interests and reading habits, so that they can provide users with more appropriate suggestions according to users' preferences and reading activity history, even if they do not know how much time each book or book will take.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128748797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of Vocal Music Self-Study Assistant System based on Android Technology 基于Android技术的声乐自学辅助系统设计

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10099956

Jun Ma, Zhe Jiang

引用次数: 1

Enterprise Accounting Risk Early Warning Model Based on Artificial Intelligence System Economics 基于人工智能系统经济学的企业会计风险预警模型

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10100315

Ya Gui

引用次数: 0

Design of Archives Management System Based on Data Mining Technology 基于数据挖掘技术的档案管理系统设计

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10099880

Xue Ru

{"title":"Design of Archives Management System Based on Data Mining Technology","authors":"Xue Ru","doi":"10.1109/ICICACS57338.2023.10099880","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10099880","url":null,"abstract":"In order to enhance the performance of archives management and further improve the efficiency of archives management, a archives management system based on data mining technology is designed. The system includes three parts: database management, query management and archives analysis management. The functional structure diagram of the archives management system is listed, and the specific process of data mining is proposed. The mining algorithm of K-means is improved, and the relationship of various resources in the archives management system is deeply explored. The archives management system mainly uses SQL Server relational database software, and lists in detail the establishment process of databases and data tables in the archives management system, as well as the design process of SQL query programming, SQL update programming and SQL delete programming in the archives management database. Applying this system to archives management can not only achieve the functions of archive data collection, query, update, delete, insert, etc., Moreover, it greatly simplifies the work of the file management personnel and carries out scientific, standardized and effective management of the file system.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"6 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130714919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive Voting Mechanism with Artificial Butterfly Algorithm based Feature Selection for IDS in MANET 基于人工蝴蝶算法特征选择的自适应投票机制

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10099861

Parameshachari B.D., Achyutha Prasad N, Dhanraj, M. T. N.

{"title":"Adaptive Voting Mechanism with Artificial Butterfly Algorithm based Feature Selection for IDS in MANET","authors":"Parameshachari B.D., Achyutha Prasad N, Dhanraj, M. T. N.","doi":"10.1109/ICICACS57338.2023.10099861","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10099861","url":null,"abstract":"Mobile ad hoc networks (MANETs) have gained more interest from consumers and academics than ever before thanks to the proliferation of wireless networks and the expansion of the benefits and uses of communication networks in general. MANETs are useful in a wide variety of settings since they don't rely on a centralised server or other hardware to relay messages or process data packets. It's one of the primary justifications for implementing MANET in many different domains. However, there are also numerous difficulties that have arisen as a result of these networks' rising popularity, with network security being one of the most crucial. There have been challenges with data transmission and reception due to MANETs' weak regulatory and security frameworks; network infiltration has been identified as one of the most pressing concerns. In MANETs, wireless nodes serve as relays and routers, connecting the source and sink nodes. Accordingly, it is now possible for rogue nodes to penetrate networks and destroy data packets. In order to cope with this issue, modern intrusion detection systems (IDSs) are utilised for remote monitoring of the functioning and actions of nodes present in wireless sensor networks. As well as being able to identify hostile nodes in the network, IDSs can often predict how such nodes will act in the future. In this research work, NSL-KDD dataset is used as an input data. SMOTE and Z-score method are used during pre-processing to remove the irrelevant features and normalize the data. The optimal features are carried out by Artificial Butterfly algorithm and then, finally, ensemble classifiers s. Multilayer Perceptron (MLP), Boosted Regression Trees (BRT) and finally, the adaptive voting mechanism is used to select the best classifier. The results proves that the proposed ensemble model achieved 97.16% of accuracy, where the existing models achieved nearly 95% to 96% of accuracy.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126852846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Privacy Preserving based Personal Health Records Sharing Using Rail Fence Data Encryption (RFDE) for Secure Cloud Environment 基于隐私保护的个人健康记录共享，使用安全云环境中的轨道围栏数据加密(RFDE)

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10099585

Aman Mittal, Frederick Sidney

{"title":"Privacy Preserving based Personal Health Records Sharing Using Rail Fence Data Encryption (RFDE) for Secure Cloud Environment","authors":"Aman Mittal, Frederick Sidney","doi":"10.1109/ICICACS57338.2023.10099585","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10099585","url":null,"abstract":"The prevalence cloud security has privacy preserving problems that major challenges due to humanity's need protect the sensitive and non-sensitive data to decision-making and resolve data leakage problems. One of the most difficult aspects is the reuse and sharing of accurate and detailed clinical data about PHR collected via Personal Health Records (PHRs) cloud transition is difficult. PHRs are often privacy preserving patient-centric models for exchanging medical information outsourced to third parties, such as Cloud Service Providers (CSP). A unique PHR patient information to ensure security with encryption before storage in the cloud. But still, issues such as security issues, flexible access and a valid user privacy risk management, efficiency and remain an important challenge to achieve better data access sensitive and non-sensitive imposition of control in cloud storage. To achieve high efficiency of PHR and modular data access control, Rail Fence Data Encryption (RFDE) algorithm provided to encrypt the PHR file to make high privacy standards. RFDE is also a form of transposition cipher called zigzag encryption, and the unauthorized user can't access the information. The proposed algorithm encrypts the PHR information it generates the secret key. The receiver decrypts the PHR information using the private key. The proposed algorithm provide efficient performance compared with previous algorithm.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123280166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of TCM Research Demand System Based on Data Mining Technology 基于数据挖掘技术的中医药研究需求系统设计

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10099881

Yuzhu Yang, Yining Huang, Linjing Yang, Hongxing Liu

引用次数: 0

Identification and Monitoring of Urinary Organs in Women Genital System using Deep Learning Model 基于深度学习模型的女性生殖系统泌尿器官识别与监测

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10099914

Vibha Verma, Yadvendra Singh

引用次数: 0

Analysis of High Performance Low Power Full Adder Circuit 高性能低功耗全加法器电路分析

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10100024

P. A. Shraavya, Chaithali R Shetty, Nidhi, Dhanyashri P Suvarna, Roopashree, Anush Bekal

{"title":"Analysis of High Performance Low Power Full Adder Circuit","authors":"P. A. Shraavya, Chaithali R Shetty, Nidhi, Dhanyashri P Suvarna, Roopashree, Anush Bekal","doi":"10.1109/ICICACS57338.2023.10100024","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10100024","url":null,"abstract":"Over the past few decades, the electronics sector has experienced significant growth. This is all a result of the development of nanotechnology. The advancement of nanotechnology has allowed for the creation of numerous high-speed microelectronic devices that rely on sophisticated computer techniques to maintain their accuracy and effectiveness. With the advent of very large-scale integration (VLSI) designs, the application of integrated circuits (ICs) in high-performance computing systems, telecommunication devices, video and image processing algorithms, control systems and consumer electronics has substantially risen. The most basic element needed for all this processing and computation is the complete adder. A full adder circuit is a crucial part of arithmetic and logic units (ALUs), digital signal processors (DSPs), application-specific integrated circuits (ASICs), and a huge variety of different digital systems and circuits. Greater speed, longer battery life, and other qualities are in higher demand as technology advances. Today, creating complete adder circuits that satisfy the expanding demands is one of the biggest challenges facing VLSI architects. Thus, this research survey has covered the prospective technologies that are currently accessible. With the help of this study, the paper intends to provide a comparative analysis of the available architectures and facilitates to come up with a decision on the one that produces the most beneficial outcomes.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123100041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An Efficient Biomedical Solicitation in Liver Cancer Classification by Deep Learning Approach 基于深度学习方法的肝癌分类的高效生物医学请求

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI: 10.1109/ICICACS57338.2023.10099828

N. Vasundhara, Archana S Nandan, S. Hemanth, Sivudu Macherla, Madhura G K

{"title":"An Efficient Biomedical Solicitation in Liver Cancer Classification by Deep Learning Approach","authors":"N. Vasundhara, Archana S Nandan, S. Hemanth, Sivudu Macherla, Madhura G K","doi":"10.1109/ICICACS57338.2023.10099828","DOIUrl":"https://doi.org/10.1109/ICICACS57338.2023.10099828","url":null,"abstract":"The liver, a significant physical organ, is located in the upper right and left abdominal cavities just below the diaphragm. It produces several different chemicals that the body needs to function properly. Researchers can benefit from converting images into data to more easily exchange and generate precise results. Since the process of conversion relies on technology and an algorithm, it eliminates the possibility of human error. Liver cancer has the highest fatality rate of any cancer since its symptoms don't present until late in the disease's progression, making early detection difficult. Skimming, sifting, segmenting, feature abstraction, and presentation via ANN (Artificial Neural Network) are the primary topics of the first stage of the debate. Real-time data sets use Feed-Forward Neural Network (FFNN) for identifying liver cancer and classifying its severity. Filtering has two primary applications: noise suppression and edge rounding. Then, segmentation is employed to isolate the relevant area, allowing for more compact data storage. The Gray Level and Co-occurrence Matrix (GLCM) is used to extract features, and the resulting matrix can have many different forms. This criterion helps classify tumors as benign or malignant. Metrics such as accuracy, sensitivity, positive and negative predictive values, and precision are used to assess the rate. The experimental method for identifying liver tumors uses CT liver pictures to achieve an average accuracy of 99.45% for malignant images.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"5 3-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120930480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2