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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Internet Computing and Services
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Korean Society for Internet Information
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Volume & Issues
Volume 13, Issue 6 - Dec 2012
Volume 13, Issue 5 - Oct 2012
Volume 13, Issue 4 - Aug 2012
Volume 13, Issue 3 - Jun 2012
Volume 13, Issue 2 - Apr 2012
Volume 13, Issue 1 - Feb 2012
Selecting the target year
Semantic-based Genetic Algorithm for Feature Selection
Kim, Jung-Ho ; In, Joo-Ho ; Chae, Soo-Hoan ;
Journal of Internet Computing and Services, volume 13, issue 4, 2012, Pages 1~10
DOI : 10.7472/jksii.2012.13.4.1
In this paper, an optimal feature selection method considering sematic of features, which is preprocess of document classification is proposed. The feature selection is very important part on classification, which is composed of removing redundant features and selecting essential features. LSA (Latent Semantic Analysis) for considering meaning of the features is adopted. However, a supervised LSA which is suitable method for classification problems is used because the basic LSA is not specialized for feature selection. We also apply GA (Genetic Algorithm) to the features, which are obtained from supervised LSA to select better feature subset. Finally, we project documents onto new selected feature subset and classify them using specific classifier, SVM (Support Vector Machine). It is expected to get high performance and efficiency of classification by selecting optimal feature subset using the proposed hybrid method of supervised LSA and GA. Its efficiency is proved through experiments using internet news classification with low features.
Designing Operational Effectiveness of Autonomously Decided Countermeasures
Park, So-Ryoung ; Park, Hun-Woo ; Ha, Ji-Su ; Choi, Chae-Taek ; Jeong, Un-Seob ; Noh, Sang-Uk ;
Journal of Internet Computing and Services, volume 13, issue 4, 2012, Pages 11~21
DOI : 10.7472/jksii.2012.13.4.11
It is indispensable that aircrafts in electrical warfare settings endeavour to improve their survivability by selecting optimal countermeasures against threats. In this paper, we model the successful probabilities of aircraft survivability equipments that remove threats encountered, and also propose a framework for the aircrafts to autonomously decide their countermeasures. And then, we design the operational effectiveness of the aircraft survivability equipments, and quantitatively formulate the operational effectiveness into the form of reduction in lethality (RL). We actually show how the operational effectiveness can be computed in simulated example scenarios. To verify our framework proposed in this paper, we experimented with the successful probabilities of aircraft survivability equipments and the autonomous decision-making against threats in various electronic warfare settings. In the experiments, it turns out that our agents outperform the agents that randomly choose their countermeasures, which is 12% more efficient in their performance.
Fall Detection for Mobile Phone based on Movement Pattern
Vo, Viet ; Hoang, Thang Minh ; Lee, Chang-Moo ; Choi, Deok-Jai ;
Journal of Internet Computing and Services, volume 13, issue 4, 2012, Pages 23~31
DOI : 10.7472/jksii.2012.13.4.23
Nowadays, recognizing human activities is an important subject; it is exploited widely and applied to many fields in real-life, especially in health care and context aware application. Research achievements are mainly focused on activities of daily living which are useful for suggesting advises to health care applications. Falling event is one of the biggest risks to the health and well-being of the elderly especially in independent living because falling accidents may be caused from heart attack. Recognizing this activity still remains in difficult research area. Many systems equipped wearable sensors have been proposed but they are not useful if users forget to wear the clothes or lack ability to adapt themselves to mobile systems without specific wearable sensors. In this paper, we develop a novel method based on analyzing the change of acceleration, orientation when the fall occurs and measure their similarity to featured fall patterns. In this study, we recruit five volunteers in our experiment including various fall categories. The results are effective for recognizing fall activity. Our system is implemented on G1 smart phone which are already plugged accelerometer and orientation sensors. The popular phone is used to get data from accelerometer and results showthe feasibility of our method and significant contribution to fall detection.
Filtered-Push Notification Framework for Messaging Support in Parking Information System
Mateo, Romeo Mark ; Lee, Jae-Wan ;
Journal of Internet Computing and Services, volume 13, issue 4, 2012, Pages 33~43
DOI : 10.7472/jksii.2012.13.4.33
Smart phones can be used in parking management to receive important notifications. An infrastructure based from such approach should consider message persistence which is currently supported through push notification systems. However, the broadcast method produces high overhead when sending notifications throughout the clients. This paper uses a filtering method to prevent unnecessary message overheads. The heuristic approach selects the mobile clients with corresponding preference values based on the notification tag values. The simulation result showed that the proposed filtering method was faster in re-establishing connections and had lower message overhead compared to conventional messaging frameworks.
Knowledge based Genetic Algorithm for the Prediction of Peptides binding to HLA alleles common in Koreans
Cho, Yeon-Jin ; Oh, Heung-Bum ; Kim, Hyeon-Cheol ;
Journal of Internet Computing and Services, volume 13, issue 4, 2012, Pages 45~52
DOI : 10.7472/jksii.2012.13.4.45
T cells induce immune responses and thereby eliminate infected micro-organisms when peptides from the microbial proteins are bound to HLAs in the host cell surfaces, It is known that the more stable the binding of peptide to HLA is, the stronger the T cell response gets to remove more effectively the source of infection. Accordingly, if peptides (HLA binder) which can be bound stably to a certain HLA are found, those peptieds are utilized to the development of peptide vaccine to prevent infectious diseases or even to cancer. However, HLA is highly polymorphic so that HLA has a large number of alleles with some frequencies even in one population. Therefore, it is very inefficient to find the peptides stably bound to a number of HLAs by testing random possible peptides for all the various alleles frequent in the population. In order to solve this problem, computational methods have recently been developed to predict peptides which are stably bound to a certain HLA. These methods could markedly decrease the number of candidate peptides to be examined by biological experiments. Accordingly, this paper not only introduces a method of machine learning to predict peptides binding to an HLA, but also suggests a new prediction model so called `knowledge-based genetic algorithm` that has never been tried for HLA binding peptide prediction. Although based on genetic algorithm (GA). it showed more enhanced performance than GA by incorporating expert knowledge in the process of the algorithm. Furthermore, it could extract rules predicting the binding peptide of the HLA alleles common in Koreans.
Color Object Segmentation using Distance Regularized Level Set
Anh, Nguyen Tran Lan ; Lee, Guee-Sang ;
Journal of Internet Computing and Services, volume 13, issue 4, 2012, Pages 53~62
DOI : 10.7472/jksii.2012.13.4.53
Object segmentation is a demanding research area and not a trivial problem of image processing and computer vision. Tremendous segmentation algorithms were addressed on gray-scale (or biomedical) images that rely on numerous image features as well as their strategies. These works in practice cannot apply to natural color images because of their negative effects to color values due to the use of gray-scale gradient information. In this paper, we proposed a new approach for color object segmentation by modifying a geometric active contour model named distance regularized level set evolution (DRLSE). Its speed function will be designed to exploit as much as possible color gradient information of images. Finally, we provide experiments to show performance of our method with respect to its accuracy and time efficiency using various color images.
A Design and Implementation of Ubiquitous Museum(U-Seum) Using Location Based Service and Augmented Reality
Lee, Sun-Ho ; Lee, Woo-Ski ; Kim, Nam-Gi ; Chun, Jun-Chul ;
Journal of Internet Computing and Services, volume 13, issue 4, 2012, Pages 63~71
DOI : 10.7472/jksii.2012.13.4.63
This paper presents a design and implementation of U-Seum(Ubiquitous Museum) system based on the LBS(Location Based Service) and mobile augmented reality technique. The mobile services under the smart space of the ubiquitous environments have been expanded in the various fields. In this study, we introduce U-Seum which supports tourists in the museum. U-Seum is developed by use of the position tracking technique based on Wi-Fi and mobile augmented reality. The GPS which is widely used in the position tracking has a difficulty to be utilized in the inside of the building because it requires the Line-of-Sight between a sender and a receiver. Therefore, in this paper, we develop a realtime tour-supported service through experience and evaluate the performance of the system in the world famous UNESCO`s Hwa-Seong Museum by measuring the distance from the Wi-Fi signal which is suitable to track the position interior of the museum. U-Seum provides various push services such as mobile augmented reality service for explanation of the artifacts of the museum, game services and the statistics information of the tourist when the tourist approach a specific AP. U-Seum is developed in the Haw-Seong Museum by the support of the Swon Haw-Seong Cultural Foundation. With a field test, we prove that the excellence and expandability of the system.
Research on Key Success Factors of Social Authoring system : Focused on Linux and Wikipedia
Lee, Seo-Young ; Lee, Bong-Gyou ;
Journal of Internet Computing and Services, volume 13, issue 4, 2012, Pages 73~82
DOI : 10.7472/jksii.2012.13.4.73
The worldwide increase of cognitive surplus leads to successful social authoring projects. In this research, social authoring mechanisms used in Linux and Wikipedia projects were analyzed to identify the key success factors. In addition, tools used in the recent successful social media such as Facebook and Ushahidi were evaluated to extract components which may be applied in social authoring systems. Based on these analyses, the improvement factors in the design of social authoring projects were suggested. The social authoring projects are expected to be more successfully achieved by providing the core components proposed in this article.
Study on implementation of Secure HTML5 Local Storage
Myeong, Hee-Won ; Paik, Jung-Ha ; Lee, Dong-Hoon ;
Journal of Internet Computing and Services, volume 13, issue 4, 2012, Pages 83~93
DOI : 10.7472/jksii.2012.13.4.83
HTML5 has developed not to have browser dependancy considering interoperability as same as maintaining compatability with lower versions of HTML. HTML5, the newest web standardization is on going of being structured. Along with the smart phone boom, HTML5 is spotlighted because it can be applied to cross platforms in mobile web environments. Specially the local Storage that has been listed in new features in HTML5 supports offline function for web application that enables web application to be run even when the mobile is not connected to 3G or wifi. With Local storage, development of server-independent web application can be possible. However Local storage stores plaintext data in it without applying any security measure and this makes the plaintext data dangerous to security threats that are already exist in other client side storages like Cookie. In the paper we propose secure Local storage methods to offer a safe way to store and retrieve data in Local storage guaranteeing its performance. Suggested functions in this paper follow localStorage standard API and use a module that provide cryptographic function. We also prove the efficiency of suggested secure Local storage based on its performance evaluation with implementation.
Design and Evaluation of an Early Intelligent Alert Broadcasting Algorithm for VANETs
Lee, Young-Ha ; Kim, Sung-Tae ; Kim, Guk-Boh ;
Journal of Internet Computing and Services, volume 13, issue 4, 2012, Pages 95~102
DOI : 10.7472/jksii.2012.13.4.95
The development of applications for vehicular ad hoc networks (VANETs) has very specific and clear goals such as providing intellectual safe transport systems. An emergency warning technic for public safety is one of the applications which requires an intelligent broadcast mechanism to transmit warning messages quickly and efficiently against the time restriction. The broadcast storm problem causing several packet collisions and extra delay has to be considered to design a broadcast protocol for VANETs, when multiple nodes attempt transmission simultaneously at the access control layer. In this paper, we propose an early intelligent alert broadcasting (EI-CAST) algorithm to resolve effectively the broadcast storm problem and meet time-critical requirement. The proposed algorithm uses not only the early alert technic on the basis of time to collision (TTC) but also the intelligent broadcasting technic on the basis of fuzzy logic, and the performance of the proposed algorithm was compared and evaluated through simulation with the existing broadcasting algorithms. It was demonstrated that the proposed algorithm shows a vehicle can receive the alert message before a collision and have no packet collision when the distance of alert region is less than 4 km.
Study on the Performance of Information Search Process in term of Attributes of Apps in Appstore and Buyer`s Innovativeness
Baek, Sung-Wook ; Ahn, Hyo-Young ; Lee, Zoon-Ky ;
Journal of Internet Computing and Services, volume 13, issue 4, 2012, Pages 103~119
DOI : 10.7472/jksii.2012.13.4.103
In this paper, we conducted for information search process of users, who have experience to buy paid-application in Appstore, to find out difference of information searching efforts and information sources, reliance on the information in term of attributes of Apps and buyes` innovativenss. As a result, Innovative buyers take a effort to search various information source but they get help buying decision-making supports by own their efforts like searching in category. On the other hand, non-Innovative buyers who search informtion less than Innovative buyers, get information like recommendation from friend and Apps, then they keep those information help buying decision-making supports highly. Besides buyers of Utility Apps search on objective information sources mainly, but those sources have influence on buying decision-making supports. On the other side buyers of Enjoyment Apps consider reliance on the information more than information searching efforts to buying decision-making supports as they get information source like popularity. This research suggests operators of Appstore and app developers how to promote their Apps to users.