2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)最新文献_第8页

Parallelized k-means clustering by exploiting instruction level parallelism at low occupancy 在低占用下利用指令级并行性的并行k-means聚类

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285516

A. Prahara, Dewi Pramudi Ismi, A. I. Kistijantoro, M. L. Khodra

{"title":"Parallelized k-means clustering by exploiting instruction level parallelism at low occupancy","authors":"A. Prahara, Dewi Pramudi Ismi, A. I. Kistijantoro, M. L. Khodra","doi":"10.1109/ICITISEE.2017.8285516","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285516","url":null,"abstract":"Clustering is a technique to cluster data into defined number of cluster. K-means clustering is the most well-known and widely used clustering algorithm. While data become large in terms of volume, the needs of high performance computing (HPC) to perform data clustering is raising. One of the solutions with compromised budget but high efficiency is to utilize highly parallel architecture of Graphics Processing Unit (GPU). In this research, k-means clustering algorithm is implemented on GPU and optimized by exploiting instruction level parallelism (ILP) at low occupancy. ILP on k-means clustering algorithm is achieved by running a number of independent instruction per thread i.e. when calculating distance or sum of data in each cluster. By loading more works into thread at lower occupancy, the higher utilization can be achieved. Experiment on clustering several data shows that the proposed method can speed up k-means clustering several times faster than other parallelized k-means clustering and k-means implementation on CPU.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121794321","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

Colenak: GPS tracking model for post-stroke rehabilitation program using AES-CBC URL encryption and QR-Code Colenak:基于AES-CBC URL加密和QR-Code的卒中后康复项目GPS跟踪模型

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285506

R. M. Awangga, Nuraini Siti Fathonah, Trisna Irmayadi Hasanudin

{"title":"Colenak: GPS tracking model for post-stroke rehabilitation program using AES-CBC URL encryption and QR-Code","authors":"R. M. Awangga, Nuraini Siti Fathonah, Trisna Irmayadi Hasanudin","doi":"10.1109/ICITISEE.2017.8285506","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285506","url":null,"abstract":"Stroke is one of the biggest causes of death in the world. Due to lack of supervision and family support to rehabilitate stroke patients, the number of deaths caused by stroke is increasing. Its because stroke is a neurological disorder that takes a long rehabilitation to get motor skill acquisition for each patient. For those whose goals are to walk again, having physiotherapists help is the way to do so. Unfortunately, there has not been a tool in physiotherapy to conduct medical records measuring travel and mileage of the patient walking outdoor. It is needed for further physiotherapists analysis and recommendation. In this study, we proposed a model called Colenak. It is proposed a Global Positioning System(GPS) tracking model to record the walking (physio)therapy of the stroke patients. This model combines the use of Advance Encryption Stanford (AES) Cipher Block Chaining (CBC) mode and Quick Response (QR) Code. Advance Encryption Standard (AES) CBC algorithm is applied to encrypt the URL. While Uniform Resource Locator (URL)s are known only to patients given QR Code, the QR code will be created based on patient identification and physiotherapy system encrypted along with the URL. By using GPS, the stroke patients who are practicing to walk can be tracked and the tracking result of each patient is expected to support the advance physiotherapy method within this model of physiotherapy.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127025519","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: 12

Instagram online shop's comment classification using statistical approach 运用统计学方法对Instagram网店的评论进行分类

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285512

F. Prabowo, A. Purwarianti

{"title":"Instagram online shop's comment classification using statistical approach","authors":"F. Prabowo, A. Purwarianti","doi":"10.1109/ICITISEE.2017.8285512","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285512","url":null,"abstract":"Instagram is one of the currently popular social medias in Indonesia. Some online shop owners use Instagram to show their products and also use its comment section to communicate with their customers. A system that can classify Instagram comment automatically based on its response surely will help online shop owners to respond all various comments without having to read all of the comments. Thus, this study was conducted to find the best method to classify Instagram comment using statistical approach. In general, the system created in this study is divided into 4 components namely pre-process, feature extraction, feature selection, and classification. We compared several techniques in each component. In feature extraction, we compared lexical approaches (unigram) and word embedding approaches. As for the learning algorithm, we compared support vector machine (SVM) and convolutional neural network (CNN). The effect of pre-process and feature selection is also investigated in this study. The preprocess done in this study is basic pre-process, mention conversion, punctuation conversion, emoticon conversion, number conversion, formalization and region name conversion. The data used in this study is 2810 Instagram comments which have been labelled with 3 kinds of responses namely “answered”, “read”, and “ignored”. Using 10-fold cross validation, we conducted 3 experiment types, such as the baseline, pre-process, and word embedding. Baseline was done by using SVM as learning algorithm and unigram as feature. Pre-process experiment was done by adding pre-processing and feature selection to baseline. Word embedding experiment was done by using word embedding as feature and SVM or CNN as learning algorithm. The best result in this study was obtained from word embedding experiment using word embedding as feature representation, CNN as learning algorithm, and pre-processed model data with accuracy of 84.23%.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133060736","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

Handwritten javanese character recognition using descriminative deep learning technique 使用判别深度学习技术的手写爪哇文字识别

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285521

M. Wibowo, Muhamad Soleh, Winangsari Pradani, A. Hidayanto, A. M. Arymurthy

{"title":"Handwritten javanese character recognition using descriminative deep learning technique","authors":"M. Wibowo, Muhamad Soleh, Winangsari Pradani, A. Hidayanto, A. M. Arymurthy","doi":"10.1109/ICITISEE.2017.8285521","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285521","url":null,"abstract":"Research on handwriting recognition using deep learning method has been widely explore by many researchers in the field of computer vision and machine learning. Many researchers mentioned that handwriting recognition using deep learning technique has lead to achieve higher accuracy compared to conventional machine learning techniques. Handwriting character recognition using deep learning has been impalement in Latin, Chinese, Arabic, Persian, and Bangla Character. As for the object of Javanese character is still not much encroached. Since the Javanese Classical Manuscripts contain a variety of scientific treasures that can be taken up in order to be preserved as a valuable heritage possessed from Indonesia. Therefore, in this study, the Javanese character Recognition is applied using Convolutional Neural Network (CNN). CNN is one type of discriminative deep-learning model that is widely used for classification based on supervised learning. CNN method is a very powerful deep learning technique in completing its task to perform data classification with image dataset as an input, because it utilizes pixel neighbor information in feature extraction process with convolution and pooling operation between inputs and kernel. The data than classify using softmax to determine its class based on its features. From the experimental results obtained that the discriminative model of deep learning has confirmed to recognize 20 basic Javanese character with the accuracy 94.57 %.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133414559","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: 16

Design of flooding detection system based on velocity and water level DAM with ESP8266 ESP8266基于速度和水位DAM的洪水检测系统设计

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285537

H. Yuliandoko, Subono, V. A. Wardhany, S. Pramono, P. Siwindarto

{"title":"Design of flooding detection system based on velocity and water level DAM with ESP8266","authors":"H. Yuliandoko, Subono, V. A. Wardhany, S. Pramono, P. Siwindarto","doi":"10.1109/ICITISEE.2017.8285537","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285537","url":null,"abstract":"Indonesia is a tropical country with high rainfall intensity and prone to flooding. In Indonesia the flood disaster has become one of the highest natural disasters in each year. To prevent flooding disaster is still done in conventional ways. One of them by building dams in the river to control the flow of water. However, the high intensity of rainfall, and the absence of soil absorption can result the volume of water in the dam exceed of capacity. In the conventional ways on every dam there is an officer who controls the water level directly. This way of direct observation is very inefficient and officers should always be in place. If the condition of water volume increases suddenly and the officer is not there, the flood information is not quickly conveyed. So that appropriate technology is needed in order to solve the problem. The ESP8266 is a micro controller with minimum power consumption. The ESP8266 also has wireless tools which can be integrated with internet networks. This ability makes the data sensors can be sent web servers and smart phone applications to inform the flooding alert.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134180949","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: 7

Implementation of automatic I/Q imbalance correction for FMCW radar system FMCW雷达系统I/Q不平衡自动校正的实现

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285474

D. Kurniawan, C. Wael, Tajul Miftahushudur, O. Heriana

引用次数: 5

Implementation of direct pass strategy during moving ball for “T-FLoW” Humanoid Robot “T-FLoW”类人机器人移动球时直接传球策略的实现

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285500

R. D. Pristovani, Ajir, B. E. Henfri, K. A. Subhan, D. Sanggar, Pramadihanto. Dadet

{"title":"Implementation of direct pass strategy during moving ball for “T-FLoW” Humanoid Robot","authors":"R. D. Pristovani, Ajir, B. E. Henfri, K. A. Subhan, D. Sanggar, Pramadihanto. Dadet","doi":"10.1109/ICITISEE.2017.8285500","DOIUrl":"https://doi.org/10.1109/ICITISEE.2017.8285500","url":null,"abstract":"EEPIS Robotics Research Center (ER2C) has been built a humanoid robot and the name is “T-FLoW” humanoid robot. This Humanoid robot is used to solve the problem in the direct pass during moving ball in the technical challenge RoboCup Competition. This paper will explain about the implementation of direct pass strategy during moving the ball into “T-FloW” humanoid robot. Direct pass strategy is splitting into 3 step. The first step is how to calculate and predict the position, speed, and acceleration during ball movement by using camera vision strategy. The second step is how to doing kick motion when the ball is approaching the foot based on the position, speed, and acceleration from the first step. The third step is the main strategy to combine the first and second step. Based on the experiment result, the success to pass the ball is 80%. The kicking locomotion is not fast enough. Perhaps in next research, the kicking locomotion will be made with fully efficient and faster than before.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127523706","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

An expert system for diagnosing dysgraphia 诊断书写困难的专家系统

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285552

Dimas Adi Kurniawan, S. W. Sihwi, Gunarhadi

引用次数: 16

Third order quadrature sinusoidal oscillator using single CDCTA 使用单CDCTA的三阶正交正弦振荡器

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285546

M. Kumngern, U. Torteanchai

引用次数: 5

Landslide susceptibility mapping using ensemble fuzzy clustering: A case study in ponorogo, east java, Indonesia 用集合模糊聚类绘制滑坡易感性图:以印尼东爪哇波诺罗戈为例

2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE) Pub Date : 2017-11-01 DOI: 10.1109/ICITISEE.2017.8285540

A. Basofi, A. Fariza, Nailussaaada

引用次数: 3