2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)最新文献

Pose Estimation of Household Objects Using RGB-D-NIR Camera 基于RGB-D-NIR相机的家用物体姿态估计

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10220998

M. Attamimi, Delonix Senjaya, D. Purwanto, Ditya Garda Nugraha

引用次数: 0

Development of Efficient Brain Tumor Classification on MRI Image Results Using EfficientNet 利用EfficientNet对MRI图像结果进行高效脑肿瘤分类的研究

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221186

Faiz Ainur Razi, A. Bustamam, A. Latifah

{"title":"Development of Efficient Brain Tumor Classification on MRI Image Results Using EfficientNet","authors":"Faiz Ainur Razi, A. Bustamam, A. Latifah","doi":"10.1109/ISITIA59021.2023.10221186","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221186","url":null,"abstract":"Brain tumors are diseases that affect the most vital organs of the human body. Abnormal cell development causes the growth of lesions in the human brain. In visualizing the emergence of a brain tumor, MRI (Magnetic Resonance Imaging) is a relatively good method as it has no radiation compared to other methods. Artificial intelligence is expected to accelerate radiologists in detecting a tumor’s emergence. This study proposes an automatic classification using a deep learning architecture with eight EfficientNet models (BO-B7) variations to classify MRI results into a normal brain or brain with a tumor. The models perform well, in which EfficientNet-B7 achieves the highest training accuracy of 99.71% and validation accuracy of 99.67%. Compared to conventional CNN, EfficientNet is superior in the performance and the computation time. From the experimental results, the level of accuracy of conventional CNN is less than EfficienNet. This indicates that the architectural modifications presented in the EfficientNet model, by combining the layer numbers, image resolution and the channels can improve the conventional CNN in classifying the MRI results.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127494447","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

Enhancement of Overcurrent Relay Coordination in Modern Industrial Distribution System Using Adaptive Modified Firefly Algorithm 用自适应改进萤火虫算法增强现代工业配电系统中过流继电器的协调

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221107

Ou Seng, M. Pujiantara, A. Priyadi, V. R. Mahindara

引用次数: 0

Improvement of Critical Clearing Time by Combination of SFCL and SCES Using Critical Trajectory Method 利用临界轨迹法改进SFCL和ses的临界清除时间

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221006

Hanif Rifai Adha, A. Priyadi, V. Lystianingrum, I. Hafidz, Rafin Aqza Izza Mahendra, N. Yorino

{"title":"Improvement of Critical Clearing Time by Combination of SFCL and SCES Using Critical Trajectory Method","authors":"Hanif Rifai Adha, A. Priyadi, V. Lystianingrum, I. Hafidz, Rafin Aqza Izza Mahendra, N. Yorino","doi":"10.1109/ISITIA59021.2023.10221006","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221006","url":null,"abstract":"The importance of stability in electric power systems and the concept of Critical Clearing Time (CCT) as the time required for the protection system to clear faults and maintain system stability. The paper explores the use of Superconducting Fault Current Limiters (SFCL) and Super Capacitor Energy Storage (SCES) to improve system stability and increase CCT values. The critical trajectory method is employed to calculate CCT values, and the Time Domain Simulation (TDS) method is used for comparison. The IEEE 3machine 9-bus system is used as a case study. This method offers improved computational accuracy and speed compared to other approaches. The simulation results demonstrate that the enhancement of CCT values through the utilization of SFCL and SCES is influenced by factors such as the placement location, size of the devices, and the specific fault points within the system. The simulation results show that the combination of SFCL and SCES can increase CCT values, indicating improved system stability. The optimal configuration is determined to be SFCL installed on lines 1-4 and SCES installed on the critical generator bus. The average increase in CCT values is 6.31% for this configuration. This application allows for an extended duration during which the protection system can isolate the fault. Finally, it can preserve system stability after fault periods and upgrade the relative system transient stability level. The proposed combination utilization strategy is simulated and modified using Matlab R2022a.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116162482","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

Evaluation of Subject Intention Speed Control Electric Wheelchairs With Myoelectric Signal Control for Users With Disabilities 残障人士用肌电信号控制受试者意向速度控制电动轮椅的评价

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221101

Fatih Nurul Izzah, A. Arifin, N. Hermawan

{"title":"Evaluation of Subject Intention Speed Control Electric Wheelchairs With Myoelectric Signal Control for Users With Disabilities","authors":"Fatih Nurul Izzah, A. Arifin, N. Hermawan","doi":"10.1109/ISITIA59021.2023.10221101","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221101","url":null,"abstract":"In doing their daily activities, people with disabilities need wheelchair assistance for their mobility. The research about electric wheelchair with navigation using myoelectric signals from Carpi Radialis muscles with Subject Intention Speed Control has been developed by Elvina, et al in 2020. Therefore, this research focused on evaluating the Subject Intention Speed Control performance of the wheelchair on 5 subjects with Cerebral Palsy. The observation and myoelectric signal intercept were done at the Carpi Radialis muscle while the subjects were doing flexion and extension. Then, the evaluation was carried out on the performance of the adaptive threshold system, signal classification performance for wheelchair movement, and the interaction of disabled users with the system. The subjects were asked to do a series of scenarios that aimed to move the wheelchair. The result showed that the success of wheelchair motion classification for the subject with mild Cerebral Palsy reached 92%. On the other hand, the suitability of the subject’s hand motion with the requested control command reached 90%. Nevertheless, further customization of the wheelchair system must be done, so that the needs of disabled users can be accommodated. The data and conclusions could be used for further development of electric wheelchairs for patients with disabilities.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124543087","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

Portable Malware Scanner Based on Embedded Devices 基于嵌入式设备的便携式恶意软件扫描器

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10220984

Agus Reza Aristiadi Nurwa, Dimas Febriyan Priambodo, Daffa Akbar Putra Yusa, Muhammad Hasbi, Wawan Laksito Yuly Saptomo, Setiyowati Zaini

{"title":"Portable Malware Scanner Based on Embedded Devices","authors":"Agus Reza Aristiadi Nurwa, Dimas Febriyan Priambodo, Daffa Akbar Putra Yusa, Muhammad Hasbi, Wawan Laksito Yuly Saptomo, Setiyowati Zaini","doi":"10.1109/ISITIA59021.2023.10220984","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10220984","url":null,"abstract":"The high number of malware attacks and the increasing use of physical storage media in Indonesia is the perfect combinations that support baiting attacks. This attack can target anyone, from individuals, organizations, and even government institutions. To avoid damage caused by malware inserted into a malicious USB drive, specific devices are needed, including software and hardware, to detect the USB drive before connecting it to the user's device. This study aims to build a portable malware detection device. Fulfillment of conformity criteria is carried out by conducting unit testing, integration testing, user acceptance testing, and system testing. The GUI-based application is implemented on the Raspberry Pi 4 by utilizing the Clam antivirus (ClamAV) signature database to detect malware on the sample USB drive. This malware scanner comprises 5 classes with 31 functions and is displayed on 5 interfaces. Malware samples used consisted of the Win.Packed.Generic-9795615-0, Win.Virus.Virlock-6804475-0, and Win.Worm.Chir-2282 viruses. There are six samples of USB drives with different storage sizes and brands for testing. The results of the tests showing the results as expected at 99.8%. We obtained speeds ranging from 0.842 MB/s to 0.883 MB/s during 60 times scanning experiments on six samples of USB drives. The tests show that malware and the different USB drive types do not affect the resulting scan speed.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"367 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124604310","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

EV Charging Scheduling with Genetic Algorithm as Intermittent PV Mitigation in Centralized Residential Charging Stations 基于遗传算法的集中式住宅充电站间歇性光伏缓解电动汽车充电调度

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221086

Syarifah Muthia Putri, M. Ashari, Endroyono, H. Suryoatmojo

{"title":"EV Charging Scheduling with Genetic Algorithm as Intermittent PV Mitigation in Centralized Residential Charging Stations","authors":"Syarifah Muthia Putri, M. Ashari, Endroyono, H. Suryoatmojo","doi":"10.1109/ISITIA59021.2023.10221086","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221086","url":null,"abstract":"Residential charging stations are a necessity by increasing electric vehicles (EVs) that promise to be environmentally friendly. Residential charging stations systems that use renewable energy such as PV have become an important concern in an effort to build green energy. Unfortunately, intermittent PV is an unavoidable problem. The EV charging demand characteristics of residential charging stations can be utilized to work together with the generator side to achieve a power balance which suitable for the smart grid concept. Our contribution is to propose a novel charging scheduling based on intermittent PV. The charging schedule is used to reduce peak loads during intermittent PV events. The charging scheduling scenario is run using the genetic algorithm with Google Colab to find out that the charging schedule has succeeded in maintaining power balance in the residential charging station systems. The innovative formula of fitness calculation used in the genetic algorithm is a way to get optimal charging scheduling according to PV capabilities. The simulation results confirm that the peak load can be decreased by 30% according to the intermittent PV value in all case modes.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124750520","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

Optimal Setting of Overcurrent Relay Coordination on Real Power System PT. Pupuk Sriwidjaja Using Modified Particle Swarm Optimization Algorithm 基于改进粒子群算法的电力系统过流继电器协调优化设置[j]

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221060

Sopanha Khan, M. Pujiantara, A. Priyadi

引用次数: 0

Identification of Poultry Reproductive Behavior Using Faster R-CNN with MobileNet V3 Architecture in Traditional Cage Environment 基于MobileNet V3架构的快速R-CNN识别传统笼中家禽繁殖行为

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221017

Andi Saenong, Z. Zainuddin, Mohammad Niswar

{"title":"Identification of Poultry Reproductive Behavior Using Faster R-CNN with MobileNet V3 Architecture in Traditional Cage Environment","authors":"Andi Saenong, Z. Zainuddin, Mohammad Niswar","doi":"10.1109/ISITIA59021.2023.10221017","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221017","url":null,"abstract":"Muscovy ducks are one of the waterfowl that are widely cultivated because of their relatively higher price compared to chickens and ducks. Determining whether Muscovy ducks are productive (raised to lay eggs and sell the eggs) or unproductive (raised/fattened to sell the meat) is one of the actions that can be taken to increase production. However, monitoring that only focuses on egg-laying behavior and is still done manually by humans is still prone to errors. An automated monitoring system is needed to improve monitoring. In this research, building a Deep Learning model using the Faster RCNN algorithm MobileNetV3 architecture to monitor poultry reproductive behavior. The identified behaviors are mating, non-mating, and egg-laying/swarming behaviors. Reproductive behavior can be used as a reference to determine whether a bird is productive or not. A model was built and tested on traditional cages. The addition of pre-processing techniques to improve image quality was performed. The results obtained were 86% mating behavior, 80% non-mating behavior, and 94% egg-laying. There was a difference in accuracy before using preprocessing techniques, which was 82% mating behavior, 74% non-mating behavior, and 88% egg laying. Adding Preprocessing methods (Image enhancement, ROI, and Blurring) can improve the performance of the Faster R-CNN algorithm to detect objects but impacts blurry image quality. The addition of deblurring techniques after the Faster R-CNN algorithm detection process can be used to restore image quality without affecting accuracy.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123511474","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

Comparison of TDNN and Factorized TDNN Approaches for Indonesian Speech Recognition 印尼语语音识别中TDNN与分解TDNN方法的比较

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221093

Gunarso, A. Buono, Mushthofa, M. T. Uliniansyah

{"title":"Comparison of TDNN and Factorized TDNN Approaches for Indonesian Speech Recognition","authors":"Gunarso, A. Buono, Mushthofa, M. T. Uliniansyah","doi":"10.1109/ISITIA59021.2023.10221093","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221093","url":null,"abstract":"The use of Deep Neural Networks in speech recognition development has outperformed the GMM-HMM technique and has been widely applied in various world languages. One of the DNNs traditionally used in speech recognition development is TDNN which has undergone several modifications, such as Factorized TDNN or TDNN-F. In this paper, we will compare the performance of standard TDNN with TDNN-F for developing Indonesian speech recognition. Our experiment used the KDW-BPPT-50K-ASR1 speech corpus developed by BPPT in 2013. We aim to identify which architecture suits Indonesian speech recognition applications better. Using the nnet3 recipe with the chain model in Kaldi, various variations of the TDNN architecture were tested to create an Indonesian speech recognition acoustic model. Furthermore, the acoustic model is compared with the acoustic model produced by TDNN-F. The experimental results show that TDNN-F performs very well compared to vanilla TDNN. The outcomes also indicate that alterations in the vanilla TDNN’s architecture, such as the number of layers and configurations in each layer, do not result in a substantial performance improvement.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126455133","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