2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)最新文献

SCADA Solution by Installing DTM6000 and Trunking Tier Three 通过安装DTM6000和中继三层实现SCADA解决方案

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251301

M. Siregar, D. Wahyudi, Ikar Mustikaswara, Tajuddin Nur

引用次数: 0

Design of Integrated Bioimpedance Analysis and Body Mass Index for Users with Special Needs 为有特殊需要的用户设计集成生物阻抗分析和体重指数

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251895

Ganjar Winasis, M. Riyadi, T. Prakoso

引用次数: 1

Email classification via intention-based segmentation 基于意图的电子邮件分类

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251306

S. K. Sonbhadra, Sonali Agarwal, M. Syafrullah, K. Adiyarta

{"title":"Email classification via intention-based segmentation","authors":"S. K. Sonbhadra, Sonali Agarwal, M. Syafrullah, K. Adiyarta","doi":"10.23919/EECSI50503.2020.9251306","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251306","url":null,"abstract":"Email is the most popular way of personal and official communication among people and organizations. Due to untrusted virtual environment, email systems may face frequent attacks like malware, spamming, social engineering, etc. Spamming is the most common malicious activity, where unsolicited emails are sent in bulk, and these spam emails can be the source of malware, waste resources, hence degrade the productivity. In spam filter development, the most important challenge is to find the correlation between the nature of spam and the interest of the users because the interests of users are dynamic. This paper proposes a novel dynamic spam filter model that considers the changes in the interests of users with time while handling the spam activities. It uses intention-based segmentation to compare different segments of text documents instead of comparing them as a whole. The proposed spam filter is a multi-tier approach where initially, the email content is divided into segments with the help of part of speech (POS) tagging based on voices and tenses. Further, the segments are clustered using hierarchical clustering and compared using the vector space model. In the third stage, concept drift is detected in the clusters to identify the change in the interest of the user. Later, the classification of ham emails into various categories is done in the last stage. For experiments Enron dataset is used and the obtained results are promising.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"1 1","pages":"38-44"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83779051","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: 3

IoT Botnet Malware Classification Using Weka Tool and Scikit-learn Machine Learning 使用Weka工具和Scikit-learn机器学习的物联网僵尸网络恶意软件分类

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251304

Susanto, D. Stiawan, M. Arifin, Mohd Yazid Bin Idris, R. Budiarto

{"title":"IoT Botnet Malware Classification Using Weka Tool and Scikit-learn Machine Learning","authors":"Susanto, D. Stiawan, M. Arifin, Mohd Yazid Bin Idris, R. Budiarto","doi":"10.23919/EECSI50503.2020.9251304","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251304","url":null,"abstract":"Botnet is one of the threats to internet network security-Botmaster in carrying out attacks on the network by relying on communication on network traffic. Internet of Things (IoT) network infrastructure consists of devices that are inexpensive, low-power, always-on, always connected to the network, and are inconspicuous and have ubiquity and inconspicuousness characteristics so that these characteristics make IoT devices an attractive target for botnet malware attacks. In identifying whether packet traffic is a malware attack or not, one can use machine learning classification methods. By using Weka and Scikit-learn analysis tools machine learning, this paper implements four machine learning algorithms, i.e.: AdaBoost, Decision Tree, Random Forest, and Naïve Bayes. Then experiments are conducted to measure the performance of the four algorithms in terms of accuracy, execution time, and false positive rate (FPR). Experiment results show that the Weka tool provides more accurate and efficient classification methods. However, in false positive rate, the use of Scikit-learn provides better results.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"68 27","pages":"15-20"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91400030","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: 5

Designing Feature Application for User Experience to Censor Inappropriate Scene in Indonesia 为用户体验设计功能应用程序以审查印度尼西亚的不适当场景

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251909

Ariesta Satryoko, Arthur Josias Simon Runturambi

引用次数: 0

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251899

Amaliah Khoirun Nisyak, Khairiyah Rizkiyah, T. Raharjo

{"title":"Human Related Challenges in Agile Software Development of Government Outsourcing Project","authors":"Amaliah Khoirun Nisyak, Khairiyah Rizkiyah, T. Raharjo","doi":"10.23919/EECSI50503.2020.9251899","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251899","url":null,"abstract":"In 2019, a government organization in Indonesia has developed several systems that will run in parallel using Agile by utilizing vendor services. Based on internal project reports, there are indications of human-related issues or challenges during the development process of these systems. The case study is one of the critical systems of failed projects in this government organization. In this study, a Systematic Literature Review (SLR) was used to identify human-related challenges or issues that could lead to failure in an ASD project. These issues or challenges were qualitatively validated based on expert judgment from external and internal organizations by interview and questionnaire. The final results of this study were 20 human-related challenges grouped into 5 categories, which were identified as human-related challenges that led to the failure of the ASD project in this case study. Proposed solutions based on best practices are also provided for each challenge or issue by conducting business research methods with open and axial coding. Besides, the comparison of views between vendors and organizations on human-related challenges as well as the implications of this study are also presented at the end, so that readers can get insight into these challenges.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"64 1","pages":"222-229"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90476742","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: 5

Features Extraction on IoT Intrusion Detection System Using Principal Components Analysis (PCA) 基于主成分分析的物联网入侵检测系统特征提取

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251292

Sharipuddin, Benni Purnama, Kurniabudi, E. Winanto, D. Stiawan, Darmawiiovo Hanapi, Mohd Yazid Bin Idris, R. Budiarto

引用次数: 8

Optimal Sizing of Micro Hydropower to Improve Hybrid Renewable Power System 微水电优化规模优化可再生能源混合发电系统

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251911

Syafii, H. D. Laksono, Novizon, R. Fahreza

引用次数: 2

Dynamic Hand Gesture Recognition Using Temporal-Stream Convolutional Neural Networks 基于时间流卷积神经网络的动态手势识别

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251902

Fladio Armandika, E. C. Djamal, Fikri Nugraha, Fatan Kasyidi

{"title":"Dynamic Hand Gesture Recognition Using Temporal-Stream Convolutional Neural Networks","authors":"Fladio Armandika, E. C. Djamal, Fikri Nugraha, Fatan Kasyidi","doi":"10.23919/EECSI50503.2020.9251902","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251902","url":null,"abstract":"Movement recognition is a hot issue in machine learning. The gesture recognition is related to video processing, which gives problems in various aspects. Some of them are separating the image against the background firmly. This problem has consequences when there are incredibly different settings from the training data. The next challenge is the number of images processed at a time that forms motion. Previous studies have conducted experiments on the Deep Convolutional Neural Network architecture to detect actions on sequential model balancing each other on frames and motion between frames. The challenge of identifying objects in a temporal video image is the number of parameters needed to do a simple video classification so that the estimated motion of the object in each picture frame is needed. This paper proposed the classification of hand movement patterns with the Single Stream Temporal Convolutional Neural Networks approach. This model was robust against extreme non-training data, giving an accuracy of up to 81,7%. The model used a 50 layers ResNet architecture with recorded video training.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"110 1","pages":"132-136"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87655441","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

Design of Regenerative Damper for Energy Harvester in Playground Seesaw 游乐场跷跷板能量采集器蓄热式阻尼器设计

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251299

Reyhan Ramadhan, E. Ekawati, Muhammad Dhiya Ul Haq, Tri Prakosa

引用次数: 1