Proceedings of the 2023 12th International Conference on Software and Computer Applications最新文献_第3页

Improved Classification Accuracy by Feature Selection using Adaptive Support Method 基于自适应支持方法的特征选择提高分类精度

Proceedings of the 2023 12th International Conference on Software and Computer Applications Pub Date : 2023-02-23 DOI: 10.1145/3587828.3587854

Erna Hikmawati, N. Maulidevi, K. Surendro

{"title":"Improved Classification Accuracy by Feature Selection using Adaptive Support Method","authors":"Erna Hikmawati, N. Maulidevi, K. Surendro","doi":"10.1145/3587828.3587854","DOIUrl":"https://doi.org/10.1145/3587828.3587854","url":null,"abstract":"The explosion of data which is happening now must be utilized to support decision making both in terms of business and other matters. Data which are becoming assets today needs to be analyzed and extracted in order to find valuable information. The results of data analysis can be used to make predictions, one of which is classification. For high dimensions data, we require preprocessing stage so that the model building process is not complex and the analysis is accurate. One of the preprocessing stages that need attention is feature selection. Feature selection is applied to reduce features without diminishing the accuracy and information in the data. Performing feature selection can also be done by using the association rule. Association rule refers to considering the association relationship between items and the frequency of items occurrence as features. However, the obstacle in implementing the association rule is when determining the minimum support value. Therefore, an adaptive support method is proposed to determine the minimum support value automatically based on the characteristics of the dataset. In this present study, a feature selection method using adaptive support is proposed. Based on the experimental results using 3 classifiers, the accuracy and F1-Score values for the feature selection method using adaptive support are higher compared to the Information gain method.","PeriodicalId":340917,"journal":{"name":"Proceedings of the 2023 12th International Conference on Software and Computer Applications","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122937485","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

Alzheimer's Disease Early Diagnosis Based on Resting-State Dynamic Functional Connectivity 基于静息状态动态功能连接的阿尔茨海默病早期诊断

Proceedings of the 2023 12th International Conference on Software and Computer Applications Pub Date : 2023-02-23 DOI: 10.1145/3587828.3587881

Fei Xie, Xiaoliang Gong, Zhenghao He, Tongqi Wu, Yan Lu, Mohan Zhao

引用次数: 0

Academic Course Planning Software System at EECE Department EECE系学术课程规划软件系统

Proceedings of the 2023 12th International Conference on Software and Computer Applications Pub Date : 2023-02-23 DOI: 10.1145/3587828.3587844

M. Laghari, Hamdan T. A. Hraiz, Solomon I. Ghebretatios, Aamna S. H. K. Alshehhi

{"title":"Academic Course Planning Software System at EECE Department","authors":"M. Laghari, Hamdan T. A. Hraiz, Solomon I. Ghebretatios, Aamna S. H. K. Alshehhi","doi":"10.1145/3587828.3587844","DOIUrl":"https://doi.org/10.1145/3587828.3587844","url":null,"abstract":"The scheduling of student courses is an imperative as well as a trivial process that can cope with unnecessary industrial and graduation delays. The Department of Electrical and Communication (EECE) at the United Arab Emirates University (UAEU) is one such organization where students encounter problems conditional on many issues that may include improper course advising system, students’ capability to pursue upright advice from advisers, knowledge, and adequate skills of the academic advisors, etc. Inappropriately advised students may endure issues such as lost time because of incorrect course selection, course planning with conflicting offering times, not selecting appropriate courses specific for offering semesters, wrongly selecting o discipline-specific electives, planning either too less or too many courses for a specific semester, etc. An Academic Course Planning Software System (ACPSS) is devised to help students in creating a course study plan to guide them select suitable courses at the registration time. The outcome of this course selection process, which takes the form of a detailed study plan, is recorded in a text file. The system is tested by more than 20 students, however, three test cases are included in this article.","PeriodicalId":340917,"journal":{"name":"Proceedings of the 2023 12th International Conference on Software and Computer Applications","volume":"574 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127082710","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

QR Code Application in Tree Management: A Pilot Project 二维码在树木管理中的应用:一个试点项目

Proceedings of the 2023 12th International Conference on Software and Computer Applications Pub Date : 2023-02-23 DOI: 10.1145/3587828.3587842

T. Truong, Loc Tan Le

引用次数: 1

Cascading Global and Local Deep Features for Smartphone-based Human Activity Classification 基于智能手机的人类活动分类的级联全局和局部深度特征

Proceedings of the 2023 12th International Conference on Software and Computer Applications Pub Date : 2023-02-23 DOI: 10.1145/3587828.3587877

Sarmela Ap Raja Sekaran, Y. Pang, S. Ooi

{"title":"Cascading Global and Local Deep Features for Smartphone-based Human Activity Classification","authors":"Sarmela Ap Raja Sekaran, Y. Pang, S. Ooi","doi":"10.1145/3587828.3587877","DOIUrl":"https://doi.org/10.1145/3587828.3587877","url":null,"abstract":"The advancement in technology with multiple sensors embedded in smartphones results in the widespread of smartphones in the applications of human activity analysis and recognition. This promotes a variety of ambient assistive living applications, such as fitness tracking, fall detection, home automation system, healthcare monitoring etc. In this paper, a human activity recognition based on the amalgamation of statistical global features and local deep features is presented. The proposed model adopts temporal convolutional architecture to extract the long-range temporal patterns from the inertial activity signals captured by smartphones. To further enrich the information, statistical features are computed so that the global features of the time series data are encoded. Next, both global and local deep features are combined for classification. The proposed model is evaluated by using WISDM and UCI HAR datasets for user-dependent and independent protocols, respectively, to ensure its feasibility as user-dependent and independent HAR solutions. The obtained empirical results exhibit that the proposed model is outperforming the other existing deep learning models on both user-dependent and independent testing protocols.","PeriodicalId":340917,"journal":{"name":"Proceedings of the 2023 12th International Conference on Software and Computer Applications","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130370373","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

Analysis of Digital Forensic Artifacts Data Enrichment Mechanism for Cyber Threat Intelligence 面向网络威胁情报的数字取证文物数据富集机制分析

Proceedings of the 2023 12th International Conference on Software and Computer Applications Pub Date : 2023-02-23 DOI: 10.1145/3587828.3587857

Hyung-Woo Lee

引用次数: 0

GPU Sparse Matrix Vector Multiplication Optimization Based on ELLB Storage Format 基于ELLB存储格式的GPU稀疏矩阵向量乘法优化

Proceedings of the 2023 12th International Conference on Software and Computer Applications Pub Date : 2023-02-23 DOI: 10.1145/3587828.3587834

Haonan Chen, Zhuowei Wang, Lianglun Cheng

引用次数: 0

Service-Level Agreement Management with Blockchain-based Smart Contract to Improve the Quality of IT Service Management. 基于区块链智能合约的服务水平协议管理，提高IT服务管理质量。

Proceedings of the 2023 12th International Conference on Software and Computer Applications Pub Date : 2023-02-23 DOI: 10.1145/3587828.3587867

Z. F. Azzahra, Gusti Bagus, B. Nugraha

引用次数: 0

A way to find counterexamples located at deep positions with domain knowledge of authentication protocols 一种查找具有认证协议领域知识的深层反例的方法

Proceedings of the 2023 12th International Conference on Software and Computer Applications Pub Date : 2023-02-23 DOI: 10.1145/3587828.3587859

Naomi Okumura, K. Ogata

{"title":"A way to find counterexamples located at deep positions with domain knowledge of authentication protocols","authors":"Naomi Okumura, K. Ogata","doi":"10.1145/3587828.3587859","DOIUrl":"https://doi.org/10.1145/3587828.3587859","url":null,"abstract":"We have model checked that a revised version of the RFC 8120 authentication protocol for HTTP enjoys the four security properties under the assumption that once a password is used for a protocol run, it is leaked to the intruder, such as the intruder, after the protocol run, and random numbers generated by servers are leaked to the intruder. The properties are (1) key secrecy (K-SEC), (2) key sharing (K-SHR), (3) client-point-of-view non-injective agreement (C-NIA), and (4) server-point-of-view non-injective agreement (S-NIA). We intuitively know that the protocol is least likely to enjoy each of the properties under the assumption. Due to the state space explosion, however, it is impossible to find a counterexample for each property with model checking. We have then split each model checking experiment into multiple model checking experiments. We first find a state in which a password has been leaked to the intruder. We next use a state as the initial state to find states in which that K-SEC, C-NIA and S-NIA are broken, respectively. We finally use a state in which C-NIA is broken as the initial state to find a state in which K-SHR is broken.","PeriodicalId":340917,"journal":{"name":"Proceedings of the 2023 12th International Conference on Software and Computer Applications","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134522123","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

A Study on the Relationship Between Heart Rate and Brain Waves During Programming Task in Several Experiments 编程任务中心率与脑电波关系的实验研究

Proceedings of the 2023 12th International Conference on Software and Computer Applications Pub Date : 2023-02-23 DOI: 10.1145/3587828.3587876

K. Umezawa, Mitsuaki Sawata, M. Nakazawa, S. Hirasawa

引用次数: 0