E. Palantei, Ashadi Amir, Wardi, I. Areni, Dewiani, S. Buwarda
{"title":"High gain CP antenna for mobile satellite communications numerically evaluated under various packaging materials","authors":"E. Palantei, Ashadi Amir, Wardi, I. Areni, Dewiani, S. Buwarda","doi":"10.1109/MICEEI.2014.7067312","DOIUrl":"https://doi.org/10.1109/MICEEI.2014.7067312","url":null,"abstract":"The designed CP microstrip antenna suitable for mobile satellite communication was numerically evaluated using various packaging materials. The study is important to provide sufficient information regarding the electrical properties variations of the constructed antenna in the presence of the shielded media. Those worthwhile characterizations are essentially required on the final packaging stage of the whole antenna unit and electronics circuits as an integrated communication peripheral. The numerical evaluation is very useful to be carried-out in order to select the appropriate shielded cover. Based on the computation results, in free space, the antenna has large gain 16.5 dBi and excellent impedance matching at S-Band (2 - 4 GHz) to provide the large operation bandwidth approximately 1900 MHz. As the antenna system shielded using various plastics box cover there are significant alterations on the targeted electrical properties such as the reflection constant (S11), the impedance bandwidth, axial ratio (AR), and gain. While mobile satellite terminal, consisted of antenna unit and various electronics parts, was enclosed with the polyester, polycarbonate and polyvinylchloride (PVC) of the plastic packaging materials types, the overall gain and bandwidth achieved were 4 dBi and 1600 MHz (spans on the frequency range from 1.5 GHz to 3.1 GHz), respectively. Meanwhile, the gain and bandwidth are also altering as ABS (polyacrylonitrile), polypropylene and polyethylene used. These three protective cover materials also affect the alteration of both bandwidth and gain of the mobile satellite antenna. The two parameters, i.e. bandwidth and gain, altered to approximately 1 GHz (at the frequency resonances 2.5 - 3.5 GHz) and 4 - 10 dBi, respectively.","PeriodicalId":285063,"journal":{"name":"2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128620833","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}
Z. Tahir, Andani Ahmad, Indha M. Nur, Anugrahyani, B. Aboobaider, Shinya Kobayashi
{"title":"Using Genetic Algorithm to bridge Decision Making Grid data gaps in Small and Medium Industries","authors":"Z. Tahir, Andani Ahmad, Indha M. Nur, Anugrahyani, B. Aboobaider, Shinya Kobayashi","doi":"10.1109/MICEEI.2014.7067322","DOIUrl":"https://doi.org/10.1109/MICEEI.2014.7067322","url":null,"abstract":"Maintenance management is certainly the important factor to support the successfulness of Small and Medium Industries (SMIs). The SMIs will gain larger profits with the correctness of maintenance system which can minimize the expenses incurred. The application with Decision Making Grid (DMG) for appropriate maintenance strategy has been achieved with favorable outcome. However, the problems, i.e. incompleteness, unavailability and inconsistency of data are the common practice gaps in SMIs. The presences of data gaps cause adverse effects on the DMG process which is certainly not able to provide satisfactory results of maintenance strategies. To overcome the problems, the current research applies the most optimal heuristic adaptive methods of Genetic Algorithm (GA) to generate optimal variable values of machine breakdowns from a DMG process on observed SMIs to be processed into other related problematic SMIs. The combination method has produced remarkable validation results against decision-making of maintenance strategies for all machines with the accuracy of 90,81%. The results deliver the trust toward related SMIs with the data problems or even new concerned SMIs with the absences of data to utilize this DMG-GA method for maintenance decision making which can help maintenance personnel by giving the correct selection of the maintenance strategy.","PeriodicalId":285063,"journal":{"name":"2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123751435","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. A. Ilham, Indrabayu, Rezkiana Hasanuddin, D. M. Putri
{"title":"Wavelet analysis for identification of lung abnormalities using artificial neural network","authors":"A. A. Ilham, Indrabayu, Rezkiana Hasanuddin, D. M. Putri","doi":"10.1109/MICEEI.2014.7067330","DOIUrl":"https://doi.org/10.1109/MICEEI.2014.7067330","url":null,"abstract":"This research analyzed the use of daubechies wavelet as a feature extraction and confusion matrix as the principal parameter of accuracy percentage level in neural network. Detection process began with image pre-processing, lung area segmentation, feature extraction, and training phase. Classifications of the system output consisted of normal lung, pleural effusion, and pulmonary tuberculosis. Seventy five amounts of thorax samples were used as training data and thirty five thoraxes were used as test data. The experiment results showed that the decomposition at level 7 with order db6 was the best configuration for feature extraction which attained up to 91.65% of accuracy.","PeriodicalId":285063,"journal":{"name":"2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125217721","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}
Arkham Zahri Rakhman Kurnianingsihi, Lukito Edi Nugrohoi
{"title":"u-FASt: Ubiquitous fall detection and alert system for elderly people in smart home environment","authors":"Arkham Zahri Rakhman Kurnianingsihi, Lukito Edi Nugrohoi","doi":"10.1109/MICEEI.2014.7067326","DOIUrl":"https://doi.org/10.1109/MICEEI.2014.7067326","url":null,"abstract":"Elderly people with long-term care and some disabilities are more susceptible to falls. Fall can cause accidental or unintentional injury, even deaths. Fall detection monitoring is needed amongst elderly, particularly for elderly people who like living independently. Physical limitations and disabilities of elderly in doing their daily activities, which susceptible to fall, become the reason why fall detection is required. This paper presents a prototype of ubiquitous fall detection and alert system in smart home environment (u-FASt) using smartphone. This proposed system of u-FASt has three features, namely: (1) Sensing data gathered from accelerometer and gyroscope that embedded in the smartphone; (2) Real time alerting system consists of mobile alarm, SMS notification, and automatic calling; (3) History of falls that consists of time of fall, body position of fall, and location of fall. The result of the experiments showed that we could get 95.33% for accuracy level.","PeriodicalId":285063,"journal":{"name":"2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124623091","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}
N. Windarko, O. Qudsi, A. Tjahjono, Okky A. Dimas, M. Purnomo
{"title":"Optimized PI constant for current controller of grid connected inverter with LCL filter using Genetic Algorithm","authors":"N. Windarko, O. Qudsi, A. Tjahjono, Okky A. Dimas, M. Purnomo","doi":"10.1109/MICEEI.2014.7067300","DOIUrl":"https://doi.org/10.1109/MICEEI.2014.7067300","url":null,"abstract":"This paper presents optimized PI constant for current controller of grid connected inverter with LCL filter. The controller consists of PI controller applied in Synchronous References Frame to control inverter current. To analyze the controller, the system should be modeled. Unfortunately the system is too complex. Therefore, to simplify the system, it is converted into a balanced single-phase model. Furthermore, the complexity of system increased the difficulties of PI constants tuning. To tune the PI constants, controller loop is formulated as an objective function with constraints of transient responses and steady state error. GA (Genetic Algorithm) will optimize simultaneously to obtain optimal values for the constants of PI controller. The GA algorithm is simulated under MATLAB. Then, the optimized PI constants are verified in circuit of PSIM Simulator. Simulation results confirm the method could determine PI constants for the best response.","PeriodicalId":285063,"journal":{"name":"2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134217176","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":"Antenna design for femtocell LTE at frequency 2.3 – 2.4 GHz","authors":"Sarah Karimah, F. Zulkifli, Basari, E. Rahardjo","doi":"10.1109/MICEEI.2014.7067309","DOIUrl":"https://doi.org/10.1109/MICEEI.2014.7067309","url":null,"abstract":"In cellular networks, it is estimated that more than 50% calls and over 70% of data services occur indoors. Femtocells, also known as home base station, are cellular network access points that connect standard mobile devices to a mobile operator's network using residential Digital Subscriber Line (DSL), cable broadband connections, optical fibres or wireless last-mile technologies. This femtocell antenna is designed to work at frequency 2.3-2.4 GHz for VSWR <;2 and have 100 MHz Impedance bandwidth. From measurement of S11 parameter shows that the single element antenna has 320 MHZ impedance bandwidth which covers frequency 2.12-2.47 GHz.","PeriodicalId":285063,"journal":{"name":"2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI)","volume":"286 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122266046","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":"Performance analysis of interconnection sistem of SulselBarTeng using unified power flow controller (UPFC)","authors":"I. Jaya, Z. Zainuddin, Upa S. Yustinus","doi":"10.1109/MICEEI.2014.7067305","DOIUrl":"https://doi.org/10.1109/MICEEI.2014.7067305","url":null,"abstract":"The operation PLTU Jeneponto 2×125 MW and PLTU Barru 2×50 MW, as well as the transmission line of middle lane that connects GI Sidrap - GI Maros - GI Sungguminasa, is the right solution to overcome weaknesses Sulselbar system that is the bottle neck. The entry of PLTA Poso 2 with power capacity 3×65MW into the power system of south of West Sulawesi (Sulselbar) through the GI Palopo, then the system of SulselBar is in a state surplus of power and develop into a sulselBarTeng (south western and central Sulawesi) system. This situation makes PLN as a manufacturer of electric energy, optimizing the operation of the plant in the system, where plants with fuel largely deactivated and plants with low operating costs in maximized Plant operation optimization policy, of course, would affect the distribution of power in certain plants with a fairly long distance line, so that power losses in line and voltage drop on certain buses can not be avoided. This research analyzes the performance of interonnection system of SulselBarTeng by placing a unified power flow controller (UPFC) on one of the transmission line, where the analysis method is done through simulation using NEPLAN software. Simulation results are obtained without UPFC showed reactive power losses are very large, the voltage drop occurs on the bus latuppa (28) 275 kV. The results of the simulation by placing UPFC on line 13-26 shows that the performance of the system increases, power losses decreased, the voltage on the bus latuppa (28) increases and generating capacity also increased.","PeriodicalId":285063,"journal":{"name":"2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI)","volume":"44 22","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114043998","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":"Ultra Wide Band (UWB) antenna design for fetal monitoring","authors":"A. Pratiwi, I. Areni, E. Palantei, Dewiani","doi":"10.1109/MICEEI.2014.7067314","DOIUrl":"https://doi.org/10.1109/MICEEI.2014.7067314","url":null,"abstract":"UWB microstrip antenna has been designed using UWB technology and the principle of Microwave Imaging system that works at UWB frequencies. The Simulation performed using Ansoft HFSS version 13 software to construct the microstrip antenna with some important parameters, such as reflection coefficient (S11) and radiation pattern. This purpose of the antenna is fetal detecting and monitoring system in dual band at (2.54 - 4.45) GHz with the bandwidth of 1.91 GHz and (6.53 - 7.97) GHz with the bandwidth of 1.44 GHz. The antenna will be tested with two conditions, with fetal and without fetal model to find the difference characteristic of each tissue layer.","PeriodicalId":285063,"journal":{"name":"2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI)","volume":"376 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114045294","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}
Md. Dendi Maysanjaya, H. A. Nugroho, N. A. Setiawan
{"title":"The classification of fetus gender on ultrasound images using learning vector quantization (LVQ)","authors":"Md. Dendi Maysanjaya, H. A. Nugroho, N. A. Setiawan","doi":"10.1109/MICEEI.2014.7067329","DOIUrl":"https://doi.org/10.1109/MICEEI.2014.7067329","url":null,"abstract":"One example of the implementations of digital image processing in biomedical field is to identify the gender of the fetus on the ultrasound image. To identify the gender of the fetus, a fetal must attain the age of at least 5 months of pregnancy. Before the process of identification, there are three steps that must be done, i.e. image preprocessing, image segmentation, and feature extraction (shape description). Having obtained the value of the feature extraction stage, the next step is the classification by utilizing one of the artificial neural network (ANN) methods, namely the learning vector quantization (LVQ). Prior to the LVQ process, the training datasets process is conducted beforehand with 3 iterations using the learning rate of 0.05 and the learning rate reduction of 0.02 per iteration. Then the training process is followed by a classification stage. The obtained test results show that the LVQ classification gives poor results. The less optimal results are generated due to the quality of the dataset used. The quality of this dataset is affected by the results of the digitization process, the stage of preprocessing, segmentation, and feature extraction.","PeriodicalId":285063,"journal":{"name":"2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128137837","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":"A generative wireless sensor network framework for agricultural use","authors":"T. Nakanishi","doi":"10.1109/MICEEI.2014.7067340","DOIUrl":"https://doi.org/10.1109/MICEEI.2014.7067340","url":null,"abstract":"Precision agriculture and agricultural decision making assistance have attracted researchers of engineering and agronomy as well as industries as a promising application of wireless sensor network (WSN) technology. However, agriculture is an industry with severe cost-cutting pressure and there is little advance guarantee that the WSN increases profit of farmers. Compared with other applications of the WSN such as power grid, civil engineering, etc., investment to the WSN cannot be expected so much. Nevertheless, if the problem of the cost is resolved, the WSN can be used with wide variety in the farm. The ready-made system satisfying requirements and constraints fully and generally of different farmers increases size and complexity of the system and finally the required investment. On the other hand, the full custom-made system for the individual farmer is not practical. This paper presents a concept of generative WSN framework enabling generation of semi custom-made WSN systems that satisfies requirements and constraints of individual farmers within a prescribed scope and also its fundamental technologies. The framework introduces a paradigm of software product line and manages core assets which are basis of the WSN system to be generated. Two tiered feature modeling, variation point mechanisms for hardware, and integer programming based optimization of system configuration are additionally developed technologies to realize the generative WSN framework.","PeriodicalId":285063,"journal":{"name":"2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129455426","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}