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2013 Eleventh International Conference on ICT and Knowledge Engineering最新文献

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A parallel processing framework using MapReduce for content-based image retrieval 使用MapReduce进行基于内容的图像检索的并行处理框架
2013 Eleventh International Conference on ICT and Knowledge Engineering Pub Date : 2013-11-01 DOI: 10.1109/ICTKE.2013.6756291
A. Tungkasthan, W. Premchaiswadi
{"title":"A parallel processing framework using MapReduce for content-based image retrieval","authors":"A. Tungkasthan, W. Premchaiswadi","doi":"10.1109/ICTKE.2013.6756291","DOIUrl":"https://doi.org/10.1109/ICTKE.2013.6756291","url":null,"abstract":"In this paper, a Hadoop MapReduce framework is presented in order to perform distributed processing used for CBIR system. Moreover, Hadoop MapReduce framework is used with the intention of increasing the performance of two main functionalities of data insertion and query processing. Therefore, the main objective of the study is distribution of the image data over a large number of nodes. Some of the techniques used in the paper includes: image indexing and retrieval, parallel processing of indexing, and comparing the similarity of retrieved images.","PeriodicalId":122281,"journal":{"name":"2013 Eleventh International Conference on ICT and Knowledge Engineering","volume":"124 26","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120825443","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: 6
An adaptive machine learning on Map-Reduce framework for improving performance of large-scale data analysis on EC2 基于Map-Reduce的自适应机器学习框架，提高EC2上大规模数据分析的性能
2013 Eleventh International Conference on ICT and Knowledge Engineering Pub Date : 2013-11-01 DOI: 10.1109/ICTKE.2013.6756290
W. Romsaiyud, W. Premchaiswadi
{"title":"An adaptive machine learning on Map-Reduce framework for improving performance of large-scale data analysis on EC2","authors":"W. Romsaiyud, W. Premchaiswadi","doi":"10.1109/ICTKE.2013.6756290","DOIUrl":"https://doi.org/10.1109/ICTKE.2013.6756290","url":null,"abstract":"Map-Reduce is a programming for writing applications that rapidly process vast amounts of data in parallel on large cluster of computer nodes and can be deployed on cloud computing. However, to run a Map-Reduce job, many configuration parameters are required for tuning and improving the performance to set up such as number of running mappers and maximum number of reduce slots in the cluster in order to minimize the data transferred between map and reduce tasks. To say simple, the main emphasis is on reducing the job execution time as well as shuffling tweaks to tune parameters for memory management. In this paper, we introduce a machine learning model on top of Map-Reduce for automate setting of tuning parameters for Map-Reduce programs. Our model consists of three main steps; 1) describe the plan baseline marked for verification. 2) Propose a ML algorithm for learning and predicting the model, and 3) develop our automated method to run the program automatically at a specific time. In our experiments, we run Hadoop on 20-nodes cluster on EC2.","PeriodicalId":122281,"journal":{"name":"2013 Eleventh International Conference on ICT and Knowledge Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127787021","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: 9
Voltage-mode allpass section employing only one DDCCTA and one capacitor 电压模式全通部分，仅采用一个DDCCTA和一个电容器
2013 Eleventh International Conference on ICT and Knowledge Engineering Pub Date : 2013-11-01 DOI: 10.1109/ICTKE.2013.6756279
M. Kumngern, Vittawat Mongkol, S. Junnapiya
{"title":"Voltage-mode allpass section employing only one DDCCTA and one capacitor","authors":"M. Kumngern, Vittawat Mongkol, S. Junnapiya","doi":"10.1109/ICTKE.2013.6756279","DOIUrl":"https://doi.org/10.1109/ICTKE.2013.6756279","url":null,"abstract":"This paper presents a voltage-mode allpass section employing only one differential difference current conveyor transconductance amplifier (DDCCTA) and one capacitor. The pole frequency of the filter can be controlled electronically by the transconductance value via adjusting the bias current of the DDCCTA. For realize filtering function, no component-matching conditions are needed. Simulation results using TSMC 0.35 μm CMOS process are performed to examine the proposed circuit. From simulation results, the proposed filter offers agree well with the proposed theory.","PeriodicalId":122281,"journal":{"name":"2013 Eleventh International Conference on ICT and Knowledge Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114725253","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
Data communications in electricity supply chain: ICT-systems interconnections in Nordic power market area 电力供应链中的数据通信:北欧电力市场领域的信息通信技术系统互联
2013 Eleventh International Conference on ICT and Knowledge Engineering Pub Date : 2013-11-01 DOI: 10.1109/ICTKE.2013.6756271
J. Lahti, P. Helo, A. Shamsuzzoha
{"title":"Data communications in electricity supply chain: ICT-systems interconnections in Nordic power market area","authors":"J. Lahti, P. Helo, A. Shamsuzzoha","doi":"10.1109/ICTKE.2013.6756271","DOIUrl":"https://doi.org/10.1109/ICTKE.2013.6756271","url":null,"abstract":"Open power market in Nordic countries like Finland, Sweden, Norway and Denmark has increased demand of interconnecting among EMSs (Energy Management Systems) and other power related systems. The concept of Nordic power market is seen as state-of-the-art model which has combined the physical quality of electricity and free power markets. Efficient functioning within power markets and optimizing the power transmission network inside the market area has lead to standardization of the data communication protocols. The aim of this study was to find out currently used interconnecting methods and protocols among EMS, SCADA (Supervisory Control And Data Acquisition) and other power related ICT(Information and Communication technology)-systems used in electricity supply chain in Finland. This paper also reviews the topical challenges faced in protocol implementations and future development plans for EDI (Electronic Data Interchange)-protocols. Finland is the part of Nordic power market area, we have also examined the other protocols as used in Nordic area. In such a perspective, we have presented a comprehensive overview of external data communications and major protocols as used in enterprise architecture of power and energy management systems in Finland.","PeriodicalId":122281,"journal":{"name":"2013 Eleventh International Conference on ICT and Knowledge Engineering","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114989416","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: 3
Augmented reality 3D eyeglasses frame simulator using active shape model and real time face tracking 基于主动形状模型和实时人脸跟踪的增强现实3D眼镜框架模拟器
2013 Eleventh International Conference on ICT and Knowledge Engineering Pub Date : 2013-11-01 DOI: 10.1109/ICTKE.2013.6756272
E. Setyati, Yosi Kristian, Y. Pranoto, David Alexandre
{"title":"Augmented reality 3D eyeglasses frame simulator using active shape model and real time face tracking","authors":"E. Setyati, Yosi Kristian, Y. Pranoto, David Alexandre","doi":"10.1109/ICTKE.2013.6756272","DOIUrl":"https://doi.org/10.1109/ICTKE.2013.6756272","url":null,"abstract":"Combination of real-world object and computergenerated object know as Augmented Reality (AR) is considered media of the future. In AR the computer-generated object is a result of a three-dimensional graphics rendering. An AR software designed to provide real-time interactivity with the user in forms of video. In this paper we implement AR technology to simulate eyeglasses frame model simulation so user can try many eyeglasses frame models and see how they look without actually have to try the eyeglasses. After activating this software, users in the webcam's range will be processed automatically, a 3D eyeglasses frame model will be positioned in the user's face. To develop this software we must first implement a fast and effective face tracking algorithm so user can feel the AR as a real object. The speed of face detection or face tracking used in this software will have a significant effect on user experience. On the other hand the higher the video resolution the slower the face tracking algorithm will be. In this paper we use a medium video resolution (640 × 480) so we can increase the speed of face tracking algorithm to make the frame per second user experience acceptable. This simulation is an example of an effective AR technology usage.","PeriodicalId":122281,"journal":{"name":"2013 Eleventh International Conference on ICT and Knowledge Engineering","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124063047","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: 5
Using feature selection and association rule mining to evaluate digital courseware 利用特征选择和关联规则挖掘对数字课件进行评价
2013 Eleventh International Conference on ICT and Knowledge Engineering Pub Date : 2013-11-01 DOI: 10.1109/ICTKE.2013.6756286
Shaveen Singh, S. Lal
{"title":"Using feature selection and association rule mining to evaluate digital courseware","authors":"Shaveen Singh, S. Lal","doi":"10.1109/ICTKE.2013.6756286","DOIUrl":"https://doi.org/10.1109/ICTKE.2013.6756286","url":null,"abstract":"Effective digital courseware should be easy to implement and integrate into instructional plans, saving teachers time and helping them support their students' learning needs. It should also not only enable students to achieve explicit learning objectives but also accelerate the pace at which they do so. This paper highlights the advantage of using Feature Selection techniques and Associative rule mining to get insightful knowledge from the log data from the Learning Management System (Moodle). The Machine Learning approach can be objectively deployed to obtain a predictive relationship and behavioral aspects that permits mapping the interaction behaviour of students with their course outcome. The knowledge discovered could immensely assist in evaluating and validating the various learning tools and activities within the course, thus, laying the groundwork for a more effective learning process. It is hoped that such knowledge would result in more effective courseware that provides for a rich, compelling, and interactive experience that will encourage repeated, prolonged, and self-motivated use.","PeriodicalId":122281,"journal":{"name":"2013 Eleventh International Conference on ICT and Knowledge Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128702321","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: 6
Locating nearest public facility using IDA∗ algorithm 使用IDA *算法定位最近的公共设施
2013 Eleventh International Conference on ICT and Knowledge Engineering Pub Date : 2013-11-01 DOI: 10.1109/ICTKE.2013.6756270
Esther Irawati Setiawan, Joan Santoso, I. Maryati
{"title":"Locating nearest public facility using IDA∗ algorithm","authors":"Esther Irawati Setiawan, Joan Santoso, I. Maryati","doi":"10.1109/ICTKE.2013.6756270","DOIUrl":"https://doi.org/10.1109/ICTKE.2013.6756270","url":null,"abstract":"Nowadays public transportation is needed given the current increasing transportation needs in the community because of the density of private vehicles that causes congestion everywhere. Given these reasons, currently people prefer to use public transportation to get to a location or perform daily life activities. But the problem is lack of information of public facilities and routes of available public transportation. This research will propose a system for searching public facility locations with implementation of IDA* algorithm. The input of this system is user's location from a mobile device and the output will be a list of routes that can be viewed in a map.","PeriodicalId":122281,"journal":{"name":"2013 Eleventh International Conference on ICT and Knowledge Engineering","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128626373","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
Identification of Indonesian vehicle registration plate by adaptive thresholding and region labeling algorithm 基于自适应阈值和区域标记算法的印尼车牌识别
2013 Eleventh International Conference on ICT and Knowledge Engineering Pub Date : 2013-11-01 DOI: 10.1109/ICTKE.2013.6756278
Samuel Lukas, Pujianto Yugopustito, D. Krisnadi
{"title":"Identification of Indonesian vehicle registration plate by adaptive thresholding and region labeling algorithm","authors":"Samuel Lukas, Pujianto Yugopustito, D. Krisnadi","doi":"10.1109/ICTKE.2013.6756278","DOIUrl":"https://doi.org/10.1109/ICTKE.2013.6756278","url":null,"abstract":"Every car has a unique label to identify the car. It is called a license plate or a vehicle registration plate. A vehicle registration plate (VRP) in Indonesia consists of a series of alphanumeric. The aim of this research is to identify and crop the VRP given a frontal image of a car. Image processing is done by converting the color image from a camera into grayscale image. It is transformed into binary image by using adaptive threshold. The position of the VPR from the frontal car image has to be detected first before cropping by using region labeling, filtering techniques. Experiments are conducted and system is able to identify the VRP above 95%.","PeriodicalId":122281,"journal":{"name":"2013 Eleventh International Conference on ICT and Knowledge Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131741821","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: 3
Focusing approach using LD block and association study with haplotype combination on DNA data 利用LD块的聚焦方法和DNA数据单倍型组合的关联研究
2013 Eleventh International Conference on ICT and Knowledge Engineering Pub Date : 2013-11-01 DOI: 10.1109/ICTKE.2013.6756266
M. Tomita
{"title":"Focusing approach using LD block and association study with haplotype combination on DNA data","authors":"M. Tomita","doi":"10.1109/ICTKE.2013.6756266","DOIUrl":"https://doi.org/10.1109/ICTKE.2013.6756266","url":null,"abstract":"In statistical genetics, SNPs, haplotype and diplotype are the major polymorphic markers in DNA data. Therefore, over approximately the last 10 years, the relative frequencies of different haplotypes have been estimated, their structures have been examined, and haplotypes have been used for association studies. We focus haplotype analyses, e.g., identification of haplotype blocks and haplotype association studies.","PeriodicalId":122281,"journal":{"name":"2013 Eleventh International Conference on ICT and Knowledge Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133194890","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
Online voting system for India based on AADHAAR ID 基于AADHAAR ID的印度在线投票系统
2013 Eleventh International Conference on ICT and Knowledge Engineering Pub Date : 2013-11-01 DOI: 10.1109/ICTKE.2013.6756265
Himanshu Agarwal, G. Pandey
{"title":"Online voting system for India based on AADHAAR ID","authors":"Himanshu Agarwal, G. Pandey","doi":"10.1109/ICTKE.2013.6756265","DOIUrl":"https://doi.org/10.1109/ICTKE.2013.6756265","url":null,"abstract":"An online voting system for Indian election is proposed for the first time in this paper. The proposed model has a greater security in the sense that voter high security password is confirmed before the vote is accepted in the main database of Election Commission of India. The additional feature of the model is that the voter can confirm if his/her vote has gone to correct candidate/party. In this model a person can also vote from outside of his/her allotted constituency or from his/her preferred location. In the proposed system the tallying of the votes will be done automatically, thus saving a huge time and enabling Election Commissioner of India to announce the result within a very short period.","PeriodicalId":122281,"journal":{"name":"2013 Eleventh International Conference on ICT and Knowledge Engineering","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115059744","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: 65
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