2021 13th International Conference on Information & Communication Technology and System (ICTS)最新文献

Two Highest Penalties: A Modified Vogels Approximation Method to Find Initial Basic Feasible Solution of Transportation Problem 两个最高惩罚:一种求运输问题初始基本可行解的改进Vogels逼近法

2021 13th International Conference on Information & Communication Technology and System (ICTS) Pub Date : 2021-10-20 DOI: 10.1109/ICTS52701.2021.9608005

B. Amaliah, C. Fatichah, E. Suryani

{"title":"Two Highest Penalties: A Modified Vogels Approximation Method to Find Initial Basic Feasible Solution of Transportation Problem","authors":"B. Amaliah, C. Fatichah, E. Suryani","doi":"10.1109/ICTS52701.2021.9608005","DOIUrl":"https://doi.org/10.1109/ICTS52701.2021.9608005","url":null,"abstract":"Vogel's Approximation Method (VAM) is one of the methods to find Initial Basic Feasible Solution (IBFS) of Transportation Problem (TP), which is mostly used to find the solution with minimum cost. Unfortunately, VAM has a limitation, i.e., if there are more than one highest penalty, VAM allows to select one arbitrarily. It causes ambiguity on penalty selection, which leads to the production of several alternative final solutions. In order to answer the challenge, Logical Development Of Vogel's Approximation Method (LD-VAM) turned up by selecting penalty in conflict using cell with lowest cost value. This technique triggered another ambiguity when there are several cells with the same minimum cost value. To avoid the ambiguity, Two Highest Penalties Method (THP) is proposed. The proposed method can reduce the cost of transportation problem as it uses Max-Min penalty, select two highest penalties, and use minimum (cost x allocation) to allocate values to the cell. THP still inherits some of VAM and LD-VAM concepts and computation procedures, yet it also introduces a new algorithm to select the suitable cell when ambiguity arises. Numerical examples have been used at this research to prove that THP can solve ambiguity, providing only one final solution and showing better final solution compared to those of VAM and LD-VAM. The result of THP is 98% accurate with optimal solution from TORA Program, which is used as reference.","PeriodicalId":6738,"journal":{"name":"2021 13th International Conference on Information & Communication Technology and System (ICTS)","volume":"45 1","pages":"318-323"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75507492","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

Variance Threshold as Early Screening to Boruta Feature Selection for Intrusion Detection System 方差阈值作为入侵检测系统Boruta特征选择的早期筛选

2021 13th International Conference on Information & Communication Technology and System (ICTS) Pub Date : 2021-10-20 DOI: 10.1109/ICTS52701.2021.9608852

Muhammad al Fatih Abil FIda, T. Ahmad, Maurice Ntahobari

{"title":"Variance Threshold as Early Screening to Boruta Feature Selection for Intrusion Detection System","authors":"Muhammad al Fatih Abil FIda, T. Ahmad, Maurice Ntahobari","doi":"10.1109/ICTS52701.2021.9608852","DOIUrl":"https://doi.org/10.1109/ICTS52701.2021.9608852","url":null,"abstract":"A rapid development of internet technology brings convenience to society and threat of exploitation at the same time. As a countermeasure, an Intrusion Detection System (IDS) was introduced. Research to improve its performance in differentiating normal traffic from malicious ones has been carried out by exploring machine learning. One of them implemented the Boruta algorithm, whose performance is still challenging in processing time to select appropriate features of the NSL-KDD dataset. Some studies work on this issue, which is then labeled as an “infinite loop” problem. However, the methods do not work on every scenario of the experiments, despite showing terrific results on classification using Random Forests. In this paper, we resolve this matter using a statistical approach, which in this case is Variance Threshold, to eliminate unnecessary features earlier so that Boruta would be able to identify all accepted and rejected features sooner while hoping with the same Random Forests that the classification result would not be too affected. It turned out that the proposed method does not work well, and surprisingly, the classification cannot reach 76% accuracy. Nevertheless, we might find a potential flaw in the former study and possibly rule out its result.","PeriodicalId":6738,"journal":{"name":"2021 13th International Conference on Information & Communication Technology and System (ICTS)","volume":"77 1 1","pages":"46-50"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77497340","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: 7

Enterprise Architecture Planning (EAP) Using TOGAF-ADM at Fuel Supplier 在燃料供应商使用TOGAF-ADM进行企业架构规划(EAP)

2021 13th International Conference on Information & Communication Technology and System (ICTS) Pub Date : 2021-10-20 DOI: 10.1109/ICTS52701.2021.9608396

Megawati Lestari Pasiak, Andi Wahju Rahardjo Emanuel

引用次数: 2

Detection of Covid-19 from Chest CT Images Using Deep Transfer Learning 基于深度迁移学习的胸部CT图像Covid-19检测

2021 13th International Conference on Information & Communication Technology and System (ICTS) Pub Date : 2021-10-20 DOI: 10.1109/ICTS52701.2021.9608160

A. Irsyad, H. Tjandrasa

{"title":"Detection of Covid-19 from Chest CT Images Using Deep Transfer Learning","authors":"A. Irsyad, H. Tjandrasa","doi":"10.1109/ICTS52701.2021.9608160","DOIUrl":"https://doi.org/10.1109/ICTS52701.2021.9608160","url":null,"abstract":"Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the virus that causes Covid-19. Covid-19 can spread quickly and lead to death so that the World Health Organization (WHO) has declared this disease a pandemic. Currently there are two methods commonly used in Covid-19, The Rapid Diagnostic Test (RDT) which has lower accuracy but requires fast time, and Real-Time Reverse Transcription Polymerase Chain Reaction (RT-PCR) which takes a long time but the accuracy is better than RDT. An alternative method that requires a short time and has high accuracy is required. One of method offered is to use CT images to detect Covid-19. This research proposes to detect Covid-19 from CT images using transfer learning methods of AlexNet, Resnet50, VGG16, Inception-v3, Inception-Resnet, Xception, and DenseNet. In this study we compared transfer learning using CLAHE preprocessing and without CLAHE. The results of this study provide that transfer learning with CLAHE preprocessing has a better performance than without CLAHE. The best performance has an accuracy of 94.97%, F-measure of 94.87%, and a precision of 97.88% for VGG16. Meanwhile, based on recall, Inception-Resnet has the best score with 95.62%, compared to VGG16 without CLAHE the results are slightly below the performance with 94.36% accuracy, F-measure of 94.21%, and a precision of 97.85, and the best recall is Resnet50 with 91.63%.","PeriodicalId":6738,"journal":{"name":"2021 13th International Conference on Information & Communication Technology and System (ICTS)","volume":"10 1","pages":"167-172"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78281170","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

Implementation and Layout Optimization of Motion Sensor for Anomaly Detection in Daily Life of Elderly Persons 老年人日常生活异常检测运动传感器的实现与布局优化

2021 13th International Conference on Information & Communication Technology and System (ICTS) Pub Date : 2021-10-20 DOI: 10.1109/ICTS52701.2021.9608517

Kosuke Shima, Takuma Kawamura, Masahiro Yamaguchi, Takumi Yoshida, T. Otsuka

{"title":"Implementation and Layout Optimization of Motion Sensor for Anomaly Detection in Daily Life of Elderly Persons","authors":"Kosuke Shima, Takuma Kawamura, Masahiro Yamaguchi, Takumi Yoshida, T. Otsuka","doi":"10.1109/ICTS52701.2021.9608517","DOIUrl":"https://doi.org/10.1109/ICTS52701.2021.9608517","url":null,"abstract":"The increasingly aged society is one of most critical issues facing developed countries. An especially important issue is elderly care in rural areas, which has become a much greater challenge to meet due to large numbers of young people migrating to urban areas. Furthermore, in these rural areas, it is difficult for care workers to frequently visit the homes of the elderly. In addition to the problems of implementing monitoring systems, there is usually no mobile internet deployment, frequent servicing by engineers is difficult, and the elderly cannot check or maintain the systems themselves. For this reason, we propose a monitoring system model that contains motion sensors and a sensor network using LoRa communication. LoRa communication enables us to implement a sensor network economically and energy-effectively. We implement an energy-effective sensor device using only a passive infrared sensor, a microcontroller, and the LoRa comm module. In experiments, we conducted data sampling in several rooms of a participant's house. The data are the number of times that the resident appears in front of a sensor device. We confirmed that the living room and bedroom were frequently used in daily routines and that the obtained values differed according to the time. Furthermore, we also confirmed that the sensor device placed in the restroom could be expected to detect health anomalies that are reflected in the number of usages of the restroom.","PeriodicalId":6738,"journal":{"name":"2021 13th International Conference on Information & Communication Technology and System (ICTS)","volume":"49 1","pages":"140-145"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81771758","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

[Copyright notice] (版权)

2021 13th International Conference on Information & Communication Technology and System (ICTS) Pub Date : 2021-10-20 DOI: 10.1109/icts52701.2021.9608780

引用次数: 0

Feature Extraction Amazon Customer Review to Determine Topic on Smartphone Domain 特征提取亚马逊客户评论，以确定智能手机领域的主题

2021 13th International Conference on Information & Communication Technology and System (ICTS) Pub Date : 2021-10-20 DOI: 10.1109/ICTS52701.2021.9608015

Hendriyana, A. Huda, Z. Baizal

{"title":"Feature Extraction Amazon Customer Review to Determine Topic on Smartphone Domain","authors":"Hendriyana, A. Huda, Z. Baizal","doi":"10.1109/ICTS52701.2021.9608015","DOIUrl":"https://doi.org/10.1109/ICTS52701.2021.9608015","url":null,"abstract":"The growth of information affects social development. It makes long distance become shorter so that it is not a problem, it also changes someone of doing business activity through internal media or often called as electronic commercial or more popular with the name of e-commerce. Information about a particular product is called a review, whereas information about certain products obtained from other customer is customer review. Review is useful for consumers and manufacturing industries because determine consumer decisions in choosing a particular product. To determine a sentence that contains a particular feature of extraction on a sentence can be seen from words that contain product features directly is explicit, but there are some words that indirectly product feature or show characteristic of features is implicit. This paper aims to extract product features both explicit and implicit features to a review sentence on the mobile phone domain. The review format used is free text from the amazon e-commerce website but it raises ambiguous words to the product features, therefore takes dummy data to separate the word on product features. The method used to extract the feature is called SLTM (Sentence Level Topic Model) in previous [7] on online review. The dummy dataset, the system performance to extract the explicit feature is 76% and the implicit feature is 92.59%. While in the dataset amazon customer review, system performance to extract explicit features of 88.24% and implicit features of 60%.","PeriodicalId":6738,"journal":{"name":"2021 13th International Conference on Information & Communication Technology and System (ICTS)","volume":"63 1","pages":"342-347"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82069997","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

Power System Harmonics Estimation using Hybrid Archimedes Optimization Algorithm-based Least Square Method 基于混合阿基米德优化算法的电力系统谐波估计

2021 13th International Conference on Information & Communication Technology and System (ICTS) Pub Date : 2021-10-20 DOI: 10.1109/ICTS52701.2021.9608829

Hasan Jamil Apon, Md. Shadman Abid, Khandaker Adil Morshed, M. M. Nishat, Fahim Faisal, Nchouwat Ndumgouo Ibrahim moubarak

{"title":"Power System Harmonics Estimation using Hybrid Archimedes Optimization Algorithm-based Least Square Method","authors":"Hasan Jamil Apon, Md. Shadman Abid, Khandaker Adil Morshed, M. M. Nishat, Fahim Faisal, Nchouwat Ndumgouo Ibrahim moubarak","doi":"10.1109/ICTS52701.2021.9608829","DOIUrl":"https://doi.org/10.1109/ICTS52701.2021.9608829","url":null,"abstract":"Estimating harmonics of a power system with different optimization techniques has emerged as a potential field of research in recent times. The amount of necessary information in an unknown signal, polluted with noise can be effectively determined by utilizing stochastic optimization techniques. In this context, this study proposes a hybridized algorithm termed as Archimedes optimization algorithm-based least square (AOA-LS) technique for estimation of harmonics of a power system. The proposed optimization algorithm contributes in predicting the phases of the harmonic signal and conventional least-square (LS) method determines the amplitudes. The simulation was carried out for a voltage wave obtained from a standard testing module's load bus terminal under two noisy conditions: Uniform noise and Gaussian noise. Furthermore, for each noisy situation, the signal-to-noise ratios (SNR) are set to 0 dB, 10 dB, 20 dB, and 40 dB, respectively. For the purpose of comparative analysis, performance of the proposed AOA-LS scheme is evaluated and compared with three of the other techniques known as Firefly algorithm-based LS (FA-LS), Particle swarm optimization with passive congregation based LS (PSOPC-LS), and Artificial bee colony based LS (ABC-LS). According to the findings, the proposed algorithm surpasses all the algorithms in terms of estimation accuracy and computational time.","PeriodicalId":6738,"journal":{"name":"2021 13th International Conference on Information & Communication Technology and System (ICTS)","volume":"92 1","pages":"312-317"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79424921","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: 6

Video-Based License Plate Recognition Using Single Shot Detector and Recurrent Neural Network 基于视频的单镜头检测器和递归神经网络车牌识别

2021 13th International Conference on Information & Communication Technology and System (ICTS) Pub Date : 2021-10-20 DOI: 10.1109/ICTS52701.2021.9608790

D. A. Navastara, Nuzha Musyafira, C. Fatichah, Safhira Maharani

引用次数: 0

Transfer Learning Approaches for Indonesian Biomedical Entity Recognition 印尼生物医学实体识别的迁移学习方法

2021 13th International Conference on Information & Communication Technology and System (ICTS) Pub Date : 2021-10-20 DOI: 10.1109/ICTS52701.2021.9608496

D. Purwitasari, A. Abdillah, Safitri Juanita, M. Purnomo

{"title":"Transfer Learning Approaches for Indonesian Biomedical Entity Recognition","authors":"D. Purwitasari, A. Abdillah, Safitri Juanita, M. Purnomo","doi":"10.1109/ICTS52701.2021.9608496","DOIUrl":"https://doi.org/10.1109/ICTS52701.2021.9608496","url":null,"abstract":"Biomedical Named Entity Recognition (BioNER) could be found in high-quality annotated biomedical dataset of some applications such as medical question answering, clinical documents classification and decision support system. However, high-quality biomedical documents (i.e., PubMed, MPlus) as the main source of BioNER dataset is only available in English while it is lack in Indonesian. Efforts to annotate such documents is also burdensome since it requires extensive work of experts. Transformers based model, i.e. BERT and pretrained multilingual language models lead to an opportunity to perform crosslingual transfer learning from well progressed English BioNER to Indonesian language. This paper investigates XLM-Roberta and M-BERT as pretrained multi-lingual model to perform BioNER for Indonesian biomedical corpora. The model is fine-tuned in English documents before being evaluated in Indonesian biomedical test data. As the results, XLM-Roberta achieves better than M-BERT model in all measurements metrics. The investigations also compare the performance of multilingual with monolingual language model to evaluate the BioNER task and found no significant result difference between both models.","PeriodicalId":6738,"journal":{"name":"2021 13th International Conference on Information & Communication Technology and System (ICTS)","volume":"7 1","pages":"348-353"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88436839","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