Sulistyaningsih, P. Putranto, P. Daud, W. Desvasari
{"title":"Fast Fourier Transform (FFT) Data Sampling using Hamming and Blackman Method for Radar","authors":"Sulistyaningsih, P. Putranto, P. Daud, W. Desvasari","doi":"10.1109/ICECOS.2018.8605193","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605193","url":null,"abstract":"In this research, experiments on signal processing on radar system is conducted. Inside radar system, digital signal processing (DSP) and analog-to-digital converter (ADC) are necessary for obtaining the results of image detection using filtering, sampling and windowing method. X-band frequency of 9,3 GHz is used. Frequencies other than 9,26 Ghz – 9,34 GHz are suppressed by filter. One of the methods in designing a finite impulse response (FIR) digital filter is windowing method. In this study, Hamming and Blackman window type are used in QT software. Testing is done by taking 512, 1024 and 16384 frame length. The experiment is done for all frequency bands. Parameters tested in this filter implementation are amplitude response and signal-to-noise ratio (SNR). Experiment result showed no significant difference for both windows. Hence, it is no problem to choose whichever the window from these choice for this system.","PeriodicalId":149318,"journal":{"name":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117338386","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}
{"title":"Benchmarking Low Latency Kernel and Xenomai for A Network Gateway Encryption Application","authors":"M. D. Marieska, A. I. Kistijantoro","doi":"10.1109/ICECOS.2018.8605255","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605255","url":null,"abstract":"In past years, development of Real Time Operating System (RTOS) has been growing rapidly. What makes RTOS different with General Purpose Operating System (GPOS) is its ability to interrupt and take over CPU instantly using a high priority task. While GPOS focuses on promotes fairness and high throughput. Every RTOS has different characteristics. We need data to decide which RTOS most suitable to support network application with set of its characteristics. To gather this data, we compare performance of two free and open source RTOS: Low Latency Kernel and Xenomai for processing a real time application. RTOS performance assessed through performance of a network gateway encryption application. There are three metrics used for performance measurements; processing time, jitter, and throughput. Test result shows that in overload condition, low latency kernel is able to perform better than Xenomai by delivering higher throughput and more predictable processing time. In low load condition, Xenomai is able to process packet faster than low latency kernel.","PeriodicalId":149318,"journal":{"name":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":" 25","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120825928","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}
Jasmir, S. Nurmaini, R. F. Malik, D. Abidin, A. Zarkasi, Yesi Novaria Kunang, Firdaus
{"title":"Breast Cancer Classification Using Deep Learning","authors":"Jasmir, S. Nurmaini, R. F. Malik, D. Abidin, A. Zarkasi, Yesi Novaria Kunang, Firdaus","doi":"10.1109/ICECOS.2018.8605180","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605180","url":null,"abstract":"Breast cancer has been identified as the most widespread cancer amongst women and also the major cause of female cancer death all over the world. In this paper, we build the classification model of a person who is exposed to breast cancer based on recurrences-event and no-recurrences event. This classification using datasets from the University of Medicine Center, Institute Of Oncology, Ljublijana, Yugoslavia of the 286 datasets consist 2 classes, 201 No-Recurrences-Events classes, 85 Recurrences-events classes and 10 attributes including classes. The algorithm used for breast cancer classification is the Multilayer Perceptron algorithm with the accuracy level of 96.5% and high evaluation is 69.93% in 8-fold cross validation from 10-fold cross validation.","PeriodicalId":149318,"journal":{"name":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130575846","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}
{"title":"Selection of Single-tuned Filter and High Pass Damped Filter with Changes of Inverter Type to Reduce Harmonics on Microgrid AC-DC","authors":"R. Setiabudy, Guru Pamosik Wibowo, Herlina","doi":"10.1109/ICECOS.2018.8605224","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605224","url":null,"abstract":"Distributed Generation (DG) such as solar and wind power plants utilizing power electronic equipment in the set of an inverter to be capable to connect to a grid system. The Inverters are power electronics equipment based on switching operations. Its operation can cause power quality problems in the electrical power system in the set of harmonics. The harmonics generated by the inverter depending on the number of pulses employed. This research aims to reduce the harmonics that appear if the DG enters the AC-DC micro-grid system to comply with the IEEE 519–1992 harmonics standard. The method employed is the adoption of a single-tuned passive filter and high-pass type damped with the inverter type variation based on the number of pulses. The filter is combined with each inverter 6, 12, 24 and 48 pulses. Based on harmonic simulations that have been carried out on 6, 12 and 24 inverters using filters successfully reduced harmonic successive currents up to 20%, 14%, and 6%, while harmonic reductions of successive voltages up to 13%, 13%, and 7%. In a 48-pulse inverter, there is no required for a passive filter owing to harmonic current and voltage distortion less than the IEEE standard.","PeriodicalId":149318,"journal":{"name":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126438877","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}
{"title":"ICECOS 2018 Committees","authors":"","doi":"10.1109/icecos.2018.8605207","DOIUrl":"https://doi.org/10.1109/icecos.2018.8605207","url":null,"abstract":"","PeriodicalId":149318,"journal":{"name":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116567068","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}
A. Adriansyah, Akhmad Wahyu Dani, Krisna Aristoprodjo Brotoatmodjo
{"title":"Power Consumption Optimization in Cooling System using Knowledge Base Temperature System","authors":"A. Adriansyah, Akhmad Wahyu Dani, Krisna Aristoprodjo Brotoatmodjo","doi":"10.1109/ICECOS.2018.8605244","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605244","url":null,"abstract":"A Power Monitoring System (PMS) is a needed unit on a system Base Transceiver Station (BTS). In their operation, a PMS must have a reliable cooling system that operates for a long day. Therefore, a power consumption of a cooling system became a primary problem in PMS. Several studies have tried to solve this problem. This paper attempts to offer optimization of power consumption on the cooling system by using a Knowledge Base Temperature System (KBTS). Several experiments of the KBTS has been performed. There is a reduced power consumption for a cooling system of significant value. The system also maintains a shelter temperature in the permissible one for the system performs well.","PeriodicalId":149318,"journal":{"name":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132652970","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}
Sharipuddin, Kurniabudi, Benni Purnama, Dimas Wahyudi, Fepiliana, Sri Suryani, D. Stiawan, Darmawijoyo, R. Budiarto
{"title":"Measurement of Component Performance (Sensor) on Internet of Thing (IoT)","authors":"Sharipuddin, Kurniabudi, Benni Purnama, Dimas Wahyudi, Fepiliana, Sri Suryani, D. Stiawan, Darmawijoyo, R. Budiarto","doi":"10.1109/ICECOS.2018.8605265","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605265","url":null,"abstract":"This study presents the testing of several devices (sensors) in obtaining sensor performance, there are several experiments and evaluations of the results obtained in the topology. Each sensor must be able to provide some results in the form of accuracy, reliability, range, and resolution. The accuracy and reliability have very important role in producing accurate data. With several explanations and analysis, it is expected to produce a reference for advanced development and policies making in the deployment of IoT system, especially in multi-sensing IoT systems. This work obtain the dataset through several stages, namely building topology (system design), data capture, and feature extraction. Wi-Fi and XBee communication protocols are used. In Wi-Fi protocol, the TCP traffic gives the greatest value compared to other traffic on normal data as well as attack data. In XBee protocol, the Low Rate Wireless PAN IEEE 802.15.4 protocol has an average of 83.96 percent for normal data and 98.73 percent for attack data, respectively. The results of attribute reading experiments, the XBee protocol achieves eighteen attributes whereas the Wi-Fi protocol only seventeen attributes.","PeriodicalId":149318,"journal":{"name":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133152788","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}
M. Sidik, Z. Buntat, Z. Nawawi, M. Jambak, Hafezaidi Mat Saman, F. N. Musa
{"title":"Non-thermal Plasma for Removal of NOx from Diesel Engine Vehicle: A Simulation Study","authors":"M. Sidik, Z. Buntat, Z. Nawawi, M. Jambak, Hafezaidi Mat Saman, F. N. Musa","doi":"10.1109/ICECOS.2018.8605186","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605186","url":null,"abstract":"This paper presents the simulation case study of non-thermal plasma for removal of nitrogen oxide, NOx from diesel engine vehicle. The geometric properties of the exhaust chamber are analyzed and discussed in order to obtain the most effective geometric properties of exhaust chamber that will help the process of NOx reduction become more effective. The gap between the exhaust case and perforated metal, the length of the exhaust chamber, no. of stages, hole diameter of the perforated metal and the thickness of the perforated metal are studied in details. The method used to study these geometric properties of the exhaust chamber is mesh and boundary condition. Optimum NOx reduction is achieved using exhaust chamber gap between 45mm and exhaust chamber length of 190mm with NOx reduction by 61.11%. Maximum NOx reduction is achieved by using 3 stages of the exhaust chamber with reduction by 70.63%. In addition, the hole diameter of the perforated metal with 5 mm and 1 mm of thickness are the most effective geometric properties of the perforated metal that will produce a high speed of gaseous inside the exhaust chamber and uniform speed of flow in the exit duct.","PeriodicalId":149318,"journal":{"name":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"559 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134504208","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}
Wiwik Anggraeni, Graha Pramudita, Edwin Riksakomara, Radityo Pw, F. Samopa, Pujiadi, R. S. Dewi
{"title":"Artificial Neural Network for Health Data Forecasting, Case Study: Number of Dengue Hemorrhagic Fever Cases in Malang Regency, Indonesia","authors":"Wiwik Anggraeni, Graha Pramudita, Edwin Riksakomara, Radityo Pw, F. Samopa, Pujiadi, R. S. Dewi","doi":"10.1109/ICECOS.2018.8605254","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605254","url":null,"abstract":"Dengue Hemorrhagic Fever (DHF) has become one of the most deadly diseases in the world. Diseases caused by Aedes-type mosquitoes are found in many tropical countries, one of them in Indonesia. Indonesia becomes the country with the highest number of DHF cases in ASEAN, even among the highest in the world. Malang Regency is one of dengue endemic areas in Indonesia. DHF’s current handling strategy is more reactive than anticipatory. As a result, the opportunity to prevent transmission and control the epidemic is reduced. On this basis, efforts should be made to deal with DHF cases. One effort that can be done is to predict the number of dengue cases that will occur in the future. With the forecasting, Malang District Health Office can immediately formulate strategies and take precautions quickly. Also required visualization on the map to show the spread of dengue cases so easy to do the analysis. Artificial Neural Network Method (ANN) is used to predict the number of dengue cases in Malang Regency. The independent variables used as input are the number of dengue cases in each neighboring Puskesmas (Pusat Kesehatan Masyarakat or Community Health Centers) and weather conditions in Malang Regency. After the forecasting, the results obtained are then visualized using the Google Maps API. The Google Maps API provides the ability to display each of the Puskesmas points along with a description of the number of forecasting cases on a Google Maps map through a web browser. This research produced a model that can predict the number of dengue cases in Malang Regency and visualization capable of displaying the spread of cases.","PeriodicalId":149318,"journal":{"name":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117003113","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}
Maria Rosario Borroek, Errissya Rasywir, Y. Pratama, Fachruddin, Marrylinteri Istoningtyas
{"title":"Analysis on Knowledge Layer Application for Knowledge Based System","authors":"Maria Rosario Borroek, Errissya Rasywir, Y. Pratama, Fachruddin, Marrylinteri Istoningtyas","doi":"10.1109/ICECOS.2018.8605262","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605262","url":null,"abstract":"Building a knowledge-based system usually must have 4 (four) layers as modules integrated in the system. The modules are a unity in a knowledge-based system. According to the researchers, this knowledge layer module can be separated as a separate application, especially when it wants to update knowledge, so when it wants to build a knowledge-based system, we only need to build 3 layers apart from the knowledge layer. Based on this, the researchers tried to build the Application Knowledge Layer Management as a separate application. System modeling method used by UML (Unified Modeling Language). Building app process includes designing user interfaces, encoding and testing. To evaluate the output, the system will be tested using black box testing, we also evaluate the efficiency of system. From the four models of this layer management application. The highest average is 6,714 and the lowest score is 5,429 of scale 7. The highest value is available in the input feature (manual input manually). Meanwhile, the lowest value is in Match-process (rule-driven) for each iteration. On average 70%, application layer management is feasible to be used as an engine in system development.","PeriodicalId":149318,"journal":{"name":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116590291","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}