2020 8th International Conference on Information and Communication Technology (ICoICT)最新文献

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Blood Detection in Infusion Hose Using Fuzzy System 模糊系统在输液软管血液检测中的应用
2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166256
Rizqillah Zahra Lestari, S. Karimah, M. Abdurohman, R. D. Prayogo
{"title":"Blood Detection in Infusion Hose Using Fuzzy System","authors":"Rizqillah Zahra Lestari, S. Karimah, M. Abdurohman, R. D. Prayogo","doi":"10.1109/ICoICT49345.2020.9166256","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166256","url":null,"abstract":"The use of infusion in medical is an important thing since infusion fluid can replace the lost body fluids rapidly and the infusion fluid is easily absorbed by the body. In the use of infusion, it must be observed periodically to avoid run out of infusion fluid or the blood clotting in an infusion hose. In the case of blood clotting detected in the infusion hose, the blood can clog the blood capillaries in the lungs and causes an embolism in the lungs. A warning system is needed when the infusion is impaired to prevent the blood clotting due to depleted infusion fluid. In this research, we propose an infusion monitoring device by using a color sensor to monitor the blood rises to the infusion hose. If there is blood detected in the infusion hose, the sensor will notify the warning by the buzzer and LED light. The color detection by sensors uses a fuzzy logic method. The results show that the sensor accurately sends a notification through the buzzer and LED light when blood is detected in the infusion hose with the average uptime of the buzzer and LED light is 5.6 seconds.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117100155","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
Performance Comparison of Yolo-Lite and YoloV3 Using Raspberry Pi and MotionEyeOS Yolo-Lite和YoloV3在树莓派和MotionEyeOS下的性能比较
2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166199
Pertiwang Sismananda, M. Abdurohman, Aji Gautama Putrada
{"title":"Performance Comparison of Yolo-Lite and YoloV3 Using Raspberry Pi and MotionEyeOS","authors":"Pertiwang Sismananda, M. Abdurohman, Aji Gautama Putrada","doi":"10.1109/ICoICT49345.2020.9166199","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166199","url":null,"abstract":"This paper proposes system comparison on identifying and processing of human image based on YOLOLITE and YOLOV3 algorithms. Computer Vision (CV) is a field of computer science where the focus is on learning how computers can be trained to identify and process image data as humans do. There are many open source CV frameworks have been proposed such as OpenCV. This paper shows a comparison between YOLO-LITE and YOLOV3 algorithms and analyzes their performance. We have implemented both algorithms in several test cases in the real time domain and carried out in the same test environment. The result shows that the Raspberry Pi camera worked at 15 fps on YOLO-LITE and 1 fps on YOLOV3. This indicates that YOLO-LITE has an average performance of 1 second faster while YOLOV3 has an average accuracy of 30% better.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117337789","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: 8
Learning Content Recommendations on Personalized Learning Environment Using Collaborative Filtering Method 基于协同过滤的个性化学习环境下的学习内容推荐
2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166371
Adhyfa Fahmy Hidayat, D. D. J. Suwawi, K. A. Laksitowening
{"title":"Learning Content Recommendations on Personalized Learning Environment Using Collaborative Filtering Method","authors":"Adhyfa Fahmy Hidayat, D. D. J. Suwawi, K. A. Laksitowening","doi":"10.1109/ICoICT49345.2020.9166371","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166371","url":null,"abstract":"Personal Learning Environment (PLE) is an e-learning concept that allows users to manage their learning environment both in terms of content and process. However, significant problems with PLE implementation in distance learning are excessive information and difficulties in finding the suitable learning content for learners. To overcome these problems, an experimental study was conducted to explore a learning content recommendation system for learners. The learning content recommendation system uses the Collaborative Filtering (CF) algorithm for the basis. CF is a method for filtering information by collecting ratings and combining it with similar information needs or interests of other users. This study intends to build the concept of PLE distance learning by applying the CF recommendation system to find learning content that is appropriate to the needs of learners. The test results reveal that the proposed PLE application is compliant with the PLE attributes. This study has also succeeded in applying a recommendation system using the CF algorithm with the concept of PLE in distance learning. Moreover, the Mean Absolute Error (MAE) calculation reveals that the best-obtained recommendation results reached by K=10. Based on the experimental data obtained, the greater the value of K used in the CF algorithm, the greater the average error.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114298142","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: 8
ECG Based Biometric Identification System using EEMD, VMD and Renyi Entropy 基于EEMD、VMD和任义熵的心电生物特征识别系统
2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166202
S. Hadiyoso, I. Wijayanto, E. M. Dewi
{"title":"ECG Based Biometric Identification System using EEMD, VMD and Renyi Entropy","authors":"S. Hadiyoso, I. Wijayanto, E. M. Dewi","doi":"10.1109/ICoICT49345.2020.9166202","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166202","url":null,"abstract":"New biometric systems are being proposed to overcome the lack of conventional biometric systems, especially in high-security applications. One of the potential modality is an electrocardiogram (ECG) signal based biometric system. In this study, a biometric system has been simulated using one ECG lead signal. A total of 110 ECG waves from 11 subjects have been simulated. Ensemble Empirical Mode Decomposition (EEMD), Variational Mode Decomposition (VMD), and Renyi Entropy are proposed methods for feature extraction. EEMD and VMD decompose ECG signals into five levels. Then, signal complexity analysis using the Renyi Entropy approach is calculated for each of the decomposed signals. The values are then becoming the feature set that fed in the validation process. The highest accuracy of this proposed method for person identification is 96.4%, which achieved by using VMD and Cubic SVM. The proposed method can be considered to be implemented in real-world implementation by considering the use of low-cost devices.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114928565","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
Music Source Separation Using Generative Adversarial Network and U-Net 基于生成对抗网络和U-Net的音乐源分离
2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166374
M. Satya, S. Suyanto
{"title":"Music Source Separation Using Generative Adversarial Network and U-Net","authors":"M. Satya, S. Suyanto","doi":"10.1109/ICoICT49345.2020.9166374","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166374","url":null,"abstract":"The separation of sound sources in the decomposition of music has become an interesting problem among scientists for the last 50 years. It has the main target of making it difficult for components in the music, such as vocals, bass, drums, and others. The results of sound separation have also been applied on many fields, such as remixing, repanning, and upmixing. In this paper, a new model based on a Generative Adversarial Network (GAN) is proposed to separate the music sources to rebuild the sound sources that exist in the music. The GAN architecture is built using U-net with VGG19 as an encoding block, mirror from VGG19 as an encoder block on the generator, and three times combinations of Convolution, Batch Normalization, and Leaky Rectified Linear Unit (LeakyReLU) blocks. An evaluation using the DSD100 dataset shows that the proposed model gives quite high average source to distortion ratios (SDR): 7.03 dB for bass, 18.72 dB for drums, 20.20 dB for vocal, and 12.73 dB for others.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"60 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126764977","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 of Automatic First Arrival Picking On P-Wave Seismic Signal Using Logistic Regression Method 用逻辑回归方法实现p波地震信号的自动初到拾取
2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166345
Yusuf Azam Sya’bani, Astri Novianty, Anggunmeka Luhur Prasasti
{"title":"Implementation of Automatic First Arrival Picking On P-Wave Seismic Signal Using Logistic Regression Method","authors":"Yusuf Azam Sya’bani, Astri Novianty, Anggunmeka Luhur Prasasti","doi":"10.1109/ICoICT49345.2020.9166345","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166345","url":null,"abstract":"The development of automation technology is currently very fast and helps human work, one of them is used by the Badan Meteorologi, Klimatologi dan Geotisika (BMKG) to detect earthquakes. Automatic First Arrival Picking is a system that can detect primary waves at the first arrival or P-Wave that occurs in an earthquake seismic signal. This study aims to create an Automatic First Arrival Picking system and test the performance of the Logistic Regression method to classify this Automatic First Arrival Picking system in detecting primary waves at the first arrival or P-Wave. In this Automatic First Arrival Picking study, data samples taken on the IRIS (Incorporated Research Institutions for Seismology) website with 100 earthquake events taken from the three closest stations with magnitude 5-8 SR. Data samples will be processed using four Feature Extraction: Recursive STA/LTA, Classic STA/LTA, Carl STA/ LTA and Delayed STA/LTA.Furthermore, the results of Feature Extraction that will be used as a dataset will be classified by the Logistic Regression method. From the test results of the Automatic First Arrival Picking system it is known that several parameters can produce the best system performance, that is 50 seconds for time windowing, 55%: 45% for a ratio training and testing, and a value of 100 for Inverse of Regularization. The results of the research conducted using the Logistic Regression method to detect P-waves in the Automatic First Arrival Picking system with a calibration scheme that carried out that obtained accuracy of 83%, Precision by 75%, Recall of 64% and F1-Score of 67%.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125213332","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: 4
Comparative Analysis of K-Nearest Neighbor and Decision Tree in Detecting Distributed Denial of Service k近邻与决策树检测分布式拒绝服务的比较分析
2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166380
Ilham Ramadhan, Parman Sukarno, M. A. Nugroho
{"title":"Comparative Analysis of K-Nearest Neighbor and Decision Tree in Detecting Distributed Denial of Service","authors":"Ilham Ramadhan, Parman Sukarno, M. A. Nugroho","doi":"10.1109/ICoICT49345.2020.9166380","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166380","url":null,"abstract":"Distributed Denial of Service (DDoS) attacks are attacks made by several attackers by flooding the victim’s device with a packet. The ease of making DDoS attacks has led to an increase of these attacks in network traffic. In contrast, the method of non-machine learning Intrusion Detection System (IDS) is now seen very inaccurate. There is a need then for an IDS method with machine learning (ML) that is more accurate in detecting attacks. Several previous studies have known that the K-Nearest Neighbor (KNN) and Decision Tree (DT) algorithms are two algorithms with high accuracy in detecting DDoS attacks. However, research comparing the two algorithms is not found so far. In this study, a comparative analysis was carried out between the two algorithms. The result of this study showed that DT had a higher accuracy with an accuracy value of 99.91% than KNN which only had an accuracy value of 98.94% in detecting DDoS attacks.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123513943","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
A Comprehensive Survey of Cellular Network Performance from User’s Perspective: A Case Study in 0-km Spot of Yogyakarta 从用户角度对蜂窝网络性能的全面调查:以日惹0公里点为例
2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166160
Widyasmoro, Indar Surahmat
{"title":"A Comprehensive Survey of Cellular Network Performance from User’s Perspective: A Case Study in 0-km Spot of Yogyakarta","authors":"Widyasmoro, Indar Surahmat","doi":"10.1109/ICoICT49345.2020.9166160","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166160","url":null,"abstract":"Smart city issues have been a trending topic since the last three decades. Some aspects support the development of smart city included information and communication infrastructures where cellular networks play important roles. Maintaining or improving performance of cellular networks is one of the importance keys to keep their existence. Therefore, it cannot be avoided that cellular-networks operators (CNO) must measure their network performance. In the case of user perspectives, CNOs usually measure the performance by doing field measurements in standard procedures. The procedures mostly in quantitative manners. It is rare, the performance is measured in qualitative manners. Therefore, this paper provides additional qualitative methods for having a more comprehensive measurement of quality of service (QoS) as well as the quality of experience (QoE) of the cellular networks. This paper starts with a simulation of coverage with a ray tracing software in specific parameters to be used for field measurement. For the qualitative methods, a survey through questionnaire has been done to know what user opinions are about obtained services. The study chose the 0-km-spot of Yogyakarta which is known as one of the favorite tourism objects. The result shows, even though the signal strength is maintained stable better than -80dBm, SNR is fluctuating. While the survey shows that some potential network parameters still need to be upgraded to increase the user satisfaction level suggested by 25% of the respondents.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121838233","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
A Strategy Framework For Incorporating Sustainability Into Enterprise Architecture 将可持续性纳入企业架构的战略框架
2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166373
E. Perdana, B. Sitohang, H. Sastramihardja, Muhammad Z. C. Candra
{"title":"A Strategy Framework For Incorporating Sustainability Into Enterprise Architecture","authors":"E. Perdana, B. Sitohang, H. Sastramihardja, Muhammad Z. C. Candra","doi":"10.1109/ICoICT49345.2020.9166373","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166373","url":null,"abstract":"Enterprises expected to have awareness and play an active role in achieving sustainability or sustainable development goals. This encourages enterprises to be more sustainable in every aspect. Technological developments open opportunities for enterprises to coping with sustainability issues. Enterprise requires digital transformation to optimize the role of this technology. Enterprise Architecture is the right tool in implementing digital transformation towards sustainable enterprise. The problem is, sustainability has not been explicitly and systematically addressed within the EA itself. Therefore we need joint and ongoing efforts to incorporate the concept of sustainability into EA’s. This paper proposes A Strategy Framework that can be used as an initial guide for the incorporation. There are at least 2 types of incorporation, which are augmentation (non-organic) and organic. And there are at least 4 areas as incorporation objects consisting of Foundation, Model / Framework, Method, language levels.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122675196","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
Experimental and Simulation Approach for Water Bed Movements 水床运动的实验与模拟方法
2020 8th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2020-06-01 DOI: 10.1109/ICoICT49345.2020.9166201
A. Jaya, P. H. Gunawan, A. Aditsania
{"title":"Experimental and Simulation Approach for Water Bed Movements","authors":"A. Jaya, P. H. Gunawan, A. Aditsania","doi":"10.1109/ICoICT49345.2020.9166201","DOIUrl":"https://doi.org/10.1109/ICoICT49345.2020.9166201","url":null,"abstract":"This paper examines the simulation of a 1D half nonlinear shallow water model using a staggered grid scheme for comparing with experiment results. Here, the experiment of the moving bottom problem in one-directional horizontal is given. The experiment was built in a glass basin with an obstacle as the moving bottom. Indeed, the impact of moving the bottom in shallow water can generate surface waves with various elevation values. The results showed that numerical simulation using nonlinear shallow water equations is close enough with the experimental data. The comparison of water elevation from simulation results and experimental data is observed in three gauge which are shown as G 1, G 2, and G 3. Using the initial condition of water elevation 0.1 m, then the error measurement of each gauge are obtained less than $10^{-3}$.","PeriodicalId":113108,"journal":{"name":"2020 8th International Conference on Information and Communication Technology (ICoICT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121784263","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
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