Adam Nevriyanto, S. Sutarno, Sri Siswanti, E. Erwin
{"title":"Image Steganography Using Combine of Discrete Wavelet Transform and Singular Value Decomposition for More Robustness and Higher Peak Signal Noise Ratio","authors":"Adam Nevriyanto, S. Sutarno, Sri Siswanti, E. Erwin","doi":"10.1109/ICECOS.2018.8605205","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605205","url":null,"abstract":"This paper presents an image technique Discrete Wavelet Transform and Singular Value Decomposition for image steganography. We are using a text file and convert into an image as watermark and embed watermarks into the cover image. We evaluate performance and compare this method with other methods like Least Significant Bit, Discrete Cosine Transform, and Discrete Wavelet Transform using Peak Signal Noise Ratio and Mean Squared Error. The result of this experiment showed that combine of Discrete Wavelet Transform and Singular Value Decomposition performance is better than the Least Significant Bit, Discrete Cosine Transform, and Discrete Wavelet Transform. The result of Peak Signal Noise Ratio obtained from Discrete Wavelet Transform and Singular Value Decomposition method is 57.0519 and 56.9520 while the result of Mean Squared Error is 0.1282 and 0.1311. Future work for this research is to add the encryption method on the data to be entered so that if there is an attack then the encryption method can secure the data becomes more secure.","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":"130614641","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":"Review of Automatic Emotion Recognition Through Facial Expression Analysis","authors":"D. Liliana, T. Basaruddin","doi":"10.1109/ICECOS.2018.8605222","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605222","url":null,"abstract":"Nowadays, the social intelligent machine is developed to be more human-like by understanding human emotion. Therefore, many researches attempt to capture nonverbal signals which visually appears on facial expressions to recognize human emotions. Face is being explored because face mostly reveals the emotion contains in it. Many researches on facial expression recognition have been done and delivered optimistic results, however continuous research must be afforded to increase the performance of some methods. This paper is written as a part of doctoral research study on human emotion recognition as an effort to depict and elaborate the roadmap of research on automatic emotion recognition. In this paper, firstly we describe about Social Signal Processing as the emotion recognition domain. Secondly, the analysis of a human emotion model. Thirdly, the method of Facial Expression Recognition (FER), followed by the description about state of the art research on FER. Lastly, we explore about the prospect of the next research on FER as a part of the development on this field.","PeriodicalId":149318,"journal":{"name":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"30 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":"125711826","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}
J. Y. Ong, M. R. Ahmad, D. Periannan, M. Sabri, B. Y. Seah, M. Aziz, M. Ismail, Mona Riza Mohd Esa, S. A. Mohammad, Z. Abdul-Malek, N. Yusop, V. Cooray, G. Lu
{"title":"Performance Analysis of Stacked Capacitive Antenna for Lightning Remote Sensing","authors":"J. Y. Ong, M. R. Ahmad, D. Periannan, M. Sabri, B. Y. Seah, M. Aziz, M. Ismail, Mona Riza Mohd Esa, S. A. Mohammad, Z. Abdul-Malek, N. Yusop, V. Cooray, G. Lu","doi":"10.1109/ICECOS.2018.8605192","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605192","url":null,"abstract":"Antennas are the important elements in the lightning detection system. To improve performance of the lightning detection system, it is so necessary to improve the efficiency of the antennas. There are two types of antennas used in the system which are capacitive antenna for electric field sensing and loop antenna for magnetic field sensing [1]. Both of these antennas are big in size and causing inconvenient during set up. Thus, small and portable antennas are designed. It is so important to remain or improve the sensitivity of the antennas even though it is small in size. Stacking method is used in capacitive antenna by increase copper plate layer in between the parallel plate antenna. After prototype the multi-stacked capacitive antenna, performance analysis is carried out. Performances of the antennas are compared using CST simulation and hardware set up. Multi-stacked capacitive antenna is compared with the single plate antenna and found that the performance of the antenna increases as the stacked number increases.","PeriodicalId":149318,"journal":{"name":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"15 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":"126276217","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. Jambak, M. I. Mousa, Z. Abdul-Malek, Mona Riza Mohd Esa, Z. Nawawi, M. Sidik
{"title":"Distance Effect on Lightning Electromagnetic Pulse over Lossy Ground","authors":"M. Jambak, M. I. Mousa, Z. Abdul-Malek, Mona Riza Mohd Esa, Z. Nawawi, M. Sidik","doi":"10.1109/ICECOS.2018.8605214","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605214","url":null,"abstract":"Electromagnetic pulses produced by lightning return strokes travel both above and underground for long distances. Lightning electromagnetic pulses are caused significant effects and disturbances on the function of nearby systems such as power, communications, and etcetera. Electromagnetic fields are propagate into both above and underground for long distances. This study purposes to increase the comprehensive about the effect of distance on the lightning electromagnetic propagation over frequency-dependent soil. The modified transmission line with exponential decay (MTLE) model is used to model the lightning return stroke channel. The return stroke, and electromagnetic propagation models were modeled using RF-Module in the form of finite elements analysis via COMSOL software. The studied electromagnetic components are radial electric field, vertical electric field and azimuthal magnetic field with various distance from lightning channel. Furthermore, their behaviors with different soil water content up to 100% were as well studied. Peak values, wave shapes, and polarities of the above/using frequency domain solvers under ground electric and magnetic fields are influenced by distance from lightning channel. The aboveground fields are differently affected by the soil water content for various distances. In contrast, the behaviors of soil water content of underground fields are non-significantly affected by the distance from lightning channel.","PeriodicalId":149318,"journal":{"name":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"80 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":"116255572","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":"Design of a Solar Micro Power Plant for Home Lighting","authors":"Julie Rante, Alexander Patras, Lianly Rompis","doi":"10.1109/ICECOS.2018.8605260","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605260","url":null,"abstract":"Indonesia is a country located on the equator so that Indonesia is often referred to as one of the tropical countries in the world. Countries with tropical climate usually have two kinds of seasons, dry season and rainy season. Being on the equatorial line, Indonesia has a constant supply of sunshine throughout the year. Given the high intensity of sunlight, Indonesians should be able to utilize sunlight by developing and constructing Solar Power Plants, PLTS. This solar power plant is very beneficial for remote hinterlands and isolated islands where it is not covered by electricity from PLN. This power plant is made by using solar thermal receiver panel, Solar Cell. This paper discusses the method of design and manufacture of solar power plants for a home. It includes literature study, observation, design, and implementation. The result of making this PLTS gives a basic solution in designing solar micro plant for home lighting, and conducting better improvements in the future. It is expected to be a solution for rural communities left behind or can be a solution for urban communities who often experience power cuts with energy efficiency and affordable prices.","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":"115499086","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.A. B Sidik, A. W. Arum, Z. Nawawi, M. Jambak, R. F. Kurnia, S. Fitria, Z. Buntat
{"title":"Variation of Pattern and CavityDiameter of Aluminium Perforated with Single Glass Dielectric Barrier for Ozone Generation","authors":"M.A. B Sidik, A. W. Arum, Z. Nawawi, M. Jambak, R. F. Kurnia, S. Fitria, Z. Buntat","doi":"10.1109/ICECOS.2018.8605219","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605219","url":null,"abstract":"One of the high-voltage applications that are widely used is ozone generation. Research on ozone generations have been carried out for many years such as by using Dielectric Barrier Discharge (DBD) method to produce optimum ozone. This paper presents a variation of pattern and cavity diameter of perforated aluminium used as electrodes for ozone generation using a DBD method with single barrier glass. The result of the study showed that although 99.9% concentration of pure oxygen was used, the pattern variations and the cavity diameter of the perforated aluminium affected the ozone concentration. The highest ozone concentration was 2175.8 ppm in a chamber with electrode area of 99.58% (A2 electrode) and at 18 kV. The lowest ozone concentration was 567.5 ppm with 98.33% electrode area (A1) and at 17 kV. For stability of ozone concentration, the chamber with B2 electrode and at voltage 17 kV or 18 kV showed that the stability of ozone concentrations improved more rapidly.","PeriodicalId":149318,"journal":{"name":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"15 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":"121194433","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":"Electricity Demand Forecasting of Household Sector in Papua Province 2050","authors":"Yosef Lefaan, R. Dalimi","doi":"10.1109/ICECOS.2018.8605233","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605233","url":null,"abstract":"Household sector electricity demand plays an important role in electricity demand forecasts in the short, medium, and long-term. This is due to the increase in electricity demand from year to year in line with the increasing of the population, the electrification ratio (ER) and the people’s welfare. This study is intended to simulate household electricity demand and the average electricity needs per household in 2016-2050 in some areas of Papua Province. Biak-Numfor Regency, Jayapura Municipality, Jayawijaya Regency, and Merauke Regency selected in this study to represent each of these areas. The method used is an exponential regression between human development index (HDI) and average electricity consumption per household using system dynamics model based on historical data 2007-2015. A Powersim studio tool used to simulate the household sector electricity demand model. At the beginning of the simulation year obtained HDI were 71.47; 78.93; 55.03 and 68.41 respectively in Biak-Numfor Regency, Jayapura Municipality, Jayawijaya Regency, and Merauke Regency. At the end of the simulation, year obtained HDI were 83.65; 87.80; 75.88 and 83.56. Electricity demand of the household sector at the beginning of the simulation year was 55.128 GWh, 191.610 GWh, 34.038 GWh, 94.679 GWh. At the end of the simulation, the year was 126,473 GWh, 515,517 GWh, 128,468 GWh, 319,140 GWh. The average electricity needs per household at the beginning of the simulation year was 1,649; 2,810; 2,353; 2,039 in kWh/household. At the end of the simulation was 2,250; 5,466; 2,037; 4,047 in kWh/household.","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":"131127978","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}
Yesi Novaria Kunang, S. Nurmaini, D. Stiawan, A. Zarkasi, Firdaus Jasmir
{"title":"Automatic Features Extraction Using Autoencoder in Intrusion Detection System","authors":"Yesi Novaria Kunang, S. Nurmaini, D. Stiawan, A. Zarkasi, Firdaus Jasmir","doi":"10.1109/ICECOS.2018.8605181","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605181","url":null,"abstract":"Intrusion Detection System (IDS) can detect attacks by analysing the patterns of data traffic in the network. With a large amount of data that is processed in the IDS, then need to do a feature extraction to reduce the computational cost of processing raw data in IDS. Feature extraction will transform features to the lower dimension to accelerate the learning process and improve the accuracy. This research on automatic feature extraction using simple autoencoder and SVM to classify attacks on IDS. We use various functions activation and loss to see how far this feature extraction feature can improve accuracy. We use Datasets KDD Cup‘ 99 NSL-KDD and to evaluate the effectiveness of the mechanisms of detection after extraction features process. In the proposed model, the activation functions autoencoder hyperparameter ReLU activation and loss function cross-entropy gives best accuracy value than other functions.","PeriodicalId":149318,"journal":{"name":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"25 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":"132299596","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":"Optimal Gas Sensors Arrangement in Odor Searching Robot","authors":"N. Husni, A. Silvia, S. Nurmaini, rsyadi Yani","doi":"10.1109/ICECOS.2018.8605236","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605236","url":null,"abstract":"This paper presents an analysis of an optimal sensor arrangement in Odor Searching Robot (OSR). 5 gas sensors integrated in OSR can help the OSR to navigate to the source. Since low cost, low computation and robust robot is preferred in swarm robot application, the OSR, as an individual robot of swarm in this study, is designed to be able to switch into the mode 3 or the mode 5 in order to analyze the optimal distance of the gas sensors arrangement that can be integrated in the OSR. By knowing the optimal sensor arrangement, the low cost and or the low computation OSR can be established. Algorithms of fuzzy logic for 3 and 5 gas sensors are tested in open environment. The concentration of gas is used as the input of the fuzzy logic. The robot uses the concentration, as its parameters in determining which way that it should take. From this research, it can be concluded that there was no significant difference between using 3 gas sensors or 5 gas sensors.","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":"130873650","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}
Anggi Sahfutri, N. Husni, M. Nawawi, Iskandar Lutfi, Evelina, A. Silvia, E. Prihatini
{"title":"Smart Parking Using Wireless Sensor Network System","authors":"Anggi Sahfutri, N. Husni, M. Nawawi, Iskandar Lutfi, Evelina, A. Silvia, E. Prihatini","doi":"10.1109/ICECOS.2018.8605241","DOIUrl":"https://doi.org/10.1109/ICECOS.2018.8605241","url":null,"abstract":"This paper presents a wireless sensor networking smart parking system that can provide information about parking slots located in the parking area. In this study, to find out the parking slots available in the parking area, a wireless communication that can be monitored through the monitor screen is proposed. The monitor serves as a monitoring of the parking slot area to be displayed, so that visitors know whether the parking slot is still available or even fully charged. The HC-SR04 ultrasonic sensor is installed in each parking slot area, the sensor will detect the parking slot, which will be filled by the car. The data obtained from the ultrasonic sensor will be managed by arduino mega 2560 located in monitor area and then sent to the monitoring area using the Wireless Sensor Network Xbee-Pro S2 communication. The parking slot area available or already filledby car will be displayed using Visual Studio software display 2013.","PeriodicalId":149318,"journal":{"name":"2018 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"87 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":"133773494","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}