2016 6th International Annual Engineering Seminar (InAES)最新文献_第3页

A comparative study on WEMA and H-WEMA forecasting methods in time series analysis (case study: JKSE composite index data) 时间序列分析中WEMA与H-WEMA预测方法的比较研究(以JKSE综合指数数据为例)

2016 6th International Annual Engineering Seminar (InAES) Pub Date : 2016-08-01 DOI: 10.1109/INAES.2016.7821897

S. Hansun

引用次数: 4

Designing Network Intrusion and Detection System using signature-based method for protecting OpenStack private cloud 基于签名的OpenStack私有云网络入侵检测系统设计

2016 6th International Annual Engineering Seminar (InAES) Pub Date : 2016-08-01 DOI: 10.1109/INAES.2016.7821908

B. I. Santoso, M. Idrus, I. Gunawan

引用次数: 19

Siemens CPU1215C input expansion and remote monitoring with Arduino bridge 西门子CPU1215C输入扩展和远程监控用Arduino桥

2016 6th International Annual Engineering Seminar (InAES) Pub Date : 2016-08-01 DOI: 10.1109/INAES.2016.7821926

Helmy Rahadian, Waluyo Nugroho, D. N. Izzhati

{"title":"Siemens CPU1215C input expansion and remote monitoring with Arduino bridge","authors":"Helmy Rahadian, Waluyo Nugroho, D. N. Izzhati","doi":"10.1109/INAES.2016.7821926","DOIUrl":"https://doi.org/10.1109/INAES.2016.7821926","url":null,"abstract":"Programmable Logic Controllers (PLC) are widely used in industrial to run an automated system. PLC must have some means of receiving and interpreting signal from another device such as sensors and switches. There are two main type of PLC input, discrete and analog. Arduino was built as a bridge or interface adding the capabilities of Siemens PLC CPU1215C to receive another type of input. In this study, Arduino is used to connect PLC with SHT11 sensor which has two wire serial communication. SHT11 temperature, humidity and dew-point data are read by Arduino and transmitted to PLC through LAN network provided by an Ethernet shield. The data can be send to MySQL server and displayed into PHP web page as monitoring screen. Using Arduino Mega 2560 and Wiznet W5100 Ethernet shield, single SHT11 data acquisition and monitoring needs 100 msec to read sensor value, 360 msec to connect and write data to PLC and 4.12 sec to connect and save data to database server, overall it needs 4.58 sec. The entire runtime determine the cycle period and it helps assign this Arduino bridge for the right application. The runtime obatined is feasible for non time critical application.","PeriodicalId":101856,"journal":{"name":"2016 6th International Annual Engineering Seminar (InAES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124600483","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

Planning of BTS hotel using LTE frequency 1800 MHz in Bandung 在万隆使用1800mhz LTE频率的BTS酒店规划

2016 6th International Annual Engineering Seminar (InAES) Pub Date : 2016-08-01 DOI: 10.1109/INAES.2016.7821919

Teguh Dwi Heri Prabowo, A. Muayyadi, U. Usman

引用次数: 0

Optimization of CO2 contents and energy saving on sweetening gas processing plant using Particle Swarm Optimization (PSO) algorithm 采用粒子群优化算法对脱硫气处理厂CO2含量及节能进行优化

2016 6th International Annual Engineering Seminar (InAES) Pub Date : 2016-08-01 DOI: 10.1109/INAES.2016.7821943

Sisca D. N. Nahdliyah, Nur Fitriyani, T. R. Biyanto

{"title":"Optimization of CO2 contents and energy saving on sweetening gas processing plant using Particle Swarm Optimization (PSO) algorithm","authors":"Sisca D. N. Nahdliyah, Nur Fitriyani, T. R. Biyanto","doi":"10.1109/INAES.2016.7821943","DOIUrl":"https://doi.org/10.1109/INAES.2016.7821943","url":null,"abstract":"Natural gas is the energy source that is commonly used today. The high of energy requirement triggers the natural gas processing industry to increase its production by opening new fields. Natural gas is classified as sweet gas if CO2 and H2S contents are less or equal to 2% and 4 ppm, respectively. Therefore in this study, the optimization have been performed and focused at amine regenerator because of had a great impact to CO2 capture or gas sweetening process. Amine column regeneration was modeled using neural network MultiLayer Perceptron (MLP) with Nonlinear Auto Regressive with eXternal input (NARX) structure and learning algorithm using Levenberg-Marquardt. In this system, CO2 removal ratio is influenced by operating variables such as the concentration of feed column regeneration, temperature condenser, and temperature at bottom regenerator, which is in-turn determined by reboiler duty in the amine regenerator. The process has been optimized using Particle Swarm Optimization (PSO) for obtaining CO2 mole fraction in the lean amine and the energy load in reboiler and condenser are minimized.","PeriodicalId":101856,"journal":{"name":"2016 6th International Annual Engineering Seminar (InAES)","volume":"17 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114112826","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 development of non-invasive optical technique to investigate the feasibility of fatigue using skin color extraction 非侵入性光学技术的发展研究疲劳肤色提取的可行性

2016 6th International Annual Engineering Seminar (InAES) Pub Date : 2016-08-01 DOI: 10.1109/INAES.2016.7821898

S. Ariyanti, A. Prihatmanto, Y. Priyana, Chang Soo Kim

{"title":"A development of non-invasive optical technique to investigate the feasibility of fatigue using skin color extraction","authors":"S. Ariyanti, A. Prihatmanto, Y. Priyana, Chang Soo Kim","doi":"10.1109/INAES.2016.7821898","DOIUrl":"https://doi.org/10.1109/INAES.2016.7821898","url":null,"abstract":"A development of Human-Computer Interface (HCI) technology is proposed to estimate and investigate user's fatigue problem with non-invasive optical technique using web-camera sensor. Two kind of parameters are used such as heart rate (HR) as the physiological sign by processing the change of the skin color from face area and separating the signal color that normalized and analyzed using Independent Component Analysis (ICA) and then optimized with Fast Fourier Transform (FFT) algorithm. Eye blinking as the facial features also used as the second parameter that processed using centroid (color-based extraction) method which means observing the darkest area around the eyes in order to count the openness and closeness stage as the result. The image processing using computer vision technique and design to perform in real-time as a smart personal health care through desktop application. Notification also perform as an alert to remind the user's condition while in a fatigue state and present in the measurement result which also used to review the proposed system performance. Furthermore, the whole system is developed and implemented to be a reliable and cost effective with providing a convenient, provision of health and social care, ease and simplicity of use to the end user.","PeriodicalId":101856,"journal":{"name":"2016 6th International Annual Engineering Seminar (InAES)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116524147","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

Analysis of object oriented classification on high resolution images 高分辨率图像的面向对象分类分析

2016 6th International Annual Engineering Seminar (InAES) Pub Date : 2016-08-01 DOI: 10.1109/INAES.2016.7821931

N. Bashit, Harintaka, A. Basith

{"title":"Analysis of object oriented classification on high resolution images","authors":"N. Bashit, Harintaka, A. Basith","doi":"10.1109/INAES.2016.7821931","DOIUrl":"https://doi.org/10.1109/INAES.2016.7821931","url":null,"abstract":"Classification is one step of image processing which aims to obtain information from remote sensing data. Object oriented classification is a classification algorithm which can be used to process a high resolution image because it uses the object elements as spectral, spatial, and texture. The purpose of this study is to examine the application of object oriented classification on two types of images which are categorized as high resolution images. The study uses two types high resolution image. They are SPOT 5 and QuickBird image covering Ngaglik district, Sleman, Yogyakarta. SPOT 5 was acquired on September 2, 2014 which has 2.5 meters spatial resolution and QuickBird was acquired in 2010 which has 0.6 meters spatial resolution. A field survey was conducted for identifying the classification scheme and testing the classification accuracy. Classification has been done through several stages, involving segmentation, merge parameter determination, rule-based classification, and post classification. Object oriented classification extracts meaningful image objects into several classes based on their spectral, spatial, and texture elements. The utilization of object's spatial element is the advantage of object oriented classification in making classification on the high resolution image. The result of this study shows that object oriented classification algorithm can classify the land use on SPOT 5 image in up to 80.00% accuracy with 16 classes, and QuickBird image in up to 92.00% accuracy with 17 classes. Therefore, object oriented classification is very effective to make classification on the high resolution image. Object oriented classification which uses the high resolution image can produce a good accuracy.","PeriodicalId":101856,"journal":{"name":"2016 6th International Annual Engineering Seminar (InAES)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133271436","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

Classification of leukocyte images using K-Means Clustering based on geometry features 基于几何特征的k均值聚类白细胞图像分类

2016 6th International Annual Engineering Seminar (InAES) Pub Date : 2016-08-01 DOI: 10.1109/INAES.2016.7821942

Tsalis Rosyadi, Agus Arif, Nopriadi, Balza Achmad, Faridah

{"title":"Classification of leukocyte images using K-Means Clustering based on geometry features","authors":"Tsalis Rosyadi, Agus Arif, Nopriadi, Balza Achmad, Faridah","doi":"10.1109/INAES.2016.7821942","DOIUrl":"https://doi.org/10.1109/INAES.2016.7821942","url":null,"abstract":"Information about counts and percentages of each type of leukocytes in blood is much needed to diagnose patients' illness. To gain that information, some functional enhancements had been applied to the optical microscopes so that they could produce digital images. Output images from these engineered microscopes were then extracted to get feature values from each image. These feature values then became input sets to the method of K-Means Clustering so that the leukocyte images could be classified according to each own cluster. Generally, the leukocyte classification process is conducted through four phases, which are image pre-processing, leukocyte segmentation, feature extraction, and leukocyte classification. Leukocyte types which were classified in this research were neutrophil, lymphocyte, monocyte, and eosinophil. Experiments were conducted using five kinds of features, which are normalized area, circularity, eccentricity, normalized parameter, and solidity, and by varying their types and their significant influences. The purpose of these trials were to determine which feature types would result in the highest value of accuracy and the effects of adding these respective features to the resulted accuracy. Based on the conducted classification results, it was found that the highest accuracy value was reached by circularity feature, which was 67%, meanwhile the lowest accuracy value was produced by the eccentricity feature, which was 43%. In this research, it was concluded that the accuracy value is ultimately determined by selecting the correct feature type rather than adding more features.","PeriodicalId":101856,"journal":{"name":"2016 6th International Annual Engineering Seminar (InAES)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133461715","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: 20

Spatial-variation of DVB-T2 signal at the receiver-location DVB-T2信号在接收机位置的空间变化

2016 6th International Annual Engineering Seminar (InAES) Pub Date : 2016-08-01 DOI: 10.1109/INAES.2016.7821928

Budi Setiyanto, Risanuri Hidayat, I. Mustika, Sunarno

引用次数: 2

Pseudonym-based privacy protection for Steppy application 基于假名的Steppy应用程序隐私保护

2016 6th International Annual Engineering Seminar (InAES) Pub Date : 2016-08-01 DOI: 10.1109/INAES.2016.7821922

H. Nugroho, Y. Priyana, A. Prihatmanto, K. Rhee

{"title":"Pseudonym-based privacy protection for Steppy application","authors":"H. Nugroho, Y. Priyana, A. Prihatmanto, K. Rhee","doi":"10.1109/INAES.2016.7821922","DOIUrl":"https://doi.org/10.1109/INAES.2016.7821922","url":null,"abstract":"Steppy is an Android-based application which is used for calculating the number of footsteps. The Steppy data is stored in the database and is shown on the Shesop website. When Personal Health Record (PHR) features on the website, privacy becomes vulnerable to various attacks so it needs reliable and effective technique for privacy preserving. In order to improve the security of data which are displayed on the Shesop website, anyone who access the site should not tamper without permission. In this paper, we adopt pseudonym technique and apply it to the Shesop website to construct secure application. We review the existing system and make some recommendations to preserve the privacy of user and we design pseudonym technique using time based one-time password (TOTP). Furthermore, we present an approach to address the security needs and pseudonym algorithms to tackle the security requirements. In addition, the proposed scheme can overcome the leaked information, the real identity of patients is never disclosed to anyone. Analysis result shows that the proposed scheme can enhance the user privacy against the adversary contained in the mobile healthcare networks (MHNs), which can be regarded as one of the most vulnerable conditions for patient's data.","PeriodicalId":101856,"journal":{"name":"2016 6th International Annual Engineering Seminar (InAES)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129886009","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