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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 17, Issue 4 - Aug 2016
Volume 17, Issue 3 - Jun 2016
Volume 17, Issue 2 - Apr 2016
Volume 17, Issue 1 - Feb 2016
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A method of Securing Mass Storage for SQL Server by Sharing Network Disks - on the Amazon EC2 Windows Environments -
Kang, Sungwook ; Choi, Jungsun ; Choi, Jaeyoung ;
Journal of Internet Computing and Services, volume 17, issue 2, 2016, Pages 1~9
DOI : 10.7472/jksii.2016.17.2.01
Users are provided infrastructure such as CPU, memory, network, and storage as IaaS (Infrastructure as a Service) service on cloud computing environments. However storage instances cannot support the maximum storage capacity that SQL servers can use, because the capacity of instances provided by service providers is usually limited. In this paper, we propose a method of securing mass storage capacity for SQL servers by sharing network disks with limited storage capacity. We confirmed through experiments that it is possible to secure mass storage capacity, which exceeds the maximum storage capacity provided by an instance with Amazon EBS on Amazon EC2 Windows environments, and it is possible to improve the overall performance of the SQL servers by increasing the disk capacity and performance.
Robustness to Impulsive Noise of Algorithms based on Cross-Information Potential and Delta Functions
Kim, Namyong ;
Journal of Internet Computing and Services, volume 17, issue 2, 2016, Pages 11~17
DOI : 10.7472/jksii.2016.17.2.11
In this paper, the optimum weight of the algorithm based on the cross information-potential with the delta functions (CIPD) is derived and its robustness against impulsive noise is studied. From the analysis of the behavior of optimum weight, it is revealed that the magnitude controlling operation for input plays the main role of keeping optimum weight of CIPD stable from the impulsive noise. The simulation results show that the steady state weight of CIPD is equivalent to that of MSE criterion. Also in the simulation environment of impulsive noise, unlike the LMS algorithm based on MSE, the steady state weight of CIPD is shown to be kept stable.
DDoS Attack Analysis Using the Improved ATMSim
Jeong, Hae-Duck J. ; Ryu, Myeong-Un ; Ji, Min-Jun ; Cho, You-Been ; Ye, Sang-Kug ; Lee, Jong-Suk R. ;
Journal of Internet Computing and Services, volume 17, issue 2, 2016, Pages 19~28
DOI : 10.7472/jksii.2016.17.2.19
Internet traffic has been significantly increasing due to the development of information and communication networks and the growing numbers of cell phone users that access networks. This paper connects to this issue by presenting a way to detect and analyze a typical DDoS attack that results in Internet breaches and network attacks, which are on the increase. To achieve this goal, we improve features and GUI of the existing ATMSim analysis package and use it. This package operates on a network flow-based analysis method, which means that normal traffic collected through an internal LAN at the Korean Bible University campus as well as anomaly traffic with DDoS attacks are generated. Self-similarity processes are used to analyze normal and anomaly traffic that are collected and generated from the improved ATMSim. Our numerical results obtained from three Hurst parameter estimate techniques show that there is quantitatively a significant difference between normal traffic and anomaly traffic from a self-similarity perspective.
A Finger Counting Method for Gesture Recognition
Lee, DoYeob ; Shin, DongKyoo ; Shin, DongIl ;
Journal of Internet Computing and Services, volume 17, issue 2, 2016, Pages 29~37
DOI : 10.7472/jksii.2016.17.2.29
Humans develop and maintain relationship through communication. Communication is largely divided into verbal communication and non-verbal communication. Verbal communication involves the use of a language or characters, while non-verbal communication utilizes body language. We use gestures with language together in conversations of everyday life. Gestures belong to non-verbal communication, and can be offered using a variety of shapes and movements to deliver an opinion. For this reason, gestures are spotlighted as a means of implementing an NUI/NUX in the fields of HCI and HRI. In this paper, using Kinect and the geometric features of the hand, we propose a method for recognizing the number of fingers and detecting the hand area. A Kinect depth image can be used to detect the hand region, with the finger number identified by comparing the distance of outline and the central point of a hand. Average recognition rate for recognizing the number of fingers is 98.5%, from the proposed method, The proposed method would help enhancing the functionality of the human computer interaction by increasing the expression range of gestures.
Describing Activities to Verify Artifacts(Documents and Program) in Software R&D
Dashbalbar, Amarmend ; Lee, Eun-Chul ; Lee, Jung-Won ; Lee, Byeongjeong ;
Journal of Internet Computing and Services, volume 17, issue 2, 2016, Pages 39~47
DOI : 10.7472/jksii.2016.17.2.39
In software R&D artifacts including documents and program code are produced. There are two kinds of software R&D artifacts: Research artifacts and development artifacts. Research artifacts include software R&D planning document, annual report, final report, research note and so on. Software development artifacts include software requirements, software design description, testing plan, test report, and program code. It is important to verify the documents and to test code to check the direction of the R&D. Moreover, we should check relationships as such completeness and consistency between research and development artifacts. The verification and testing help project manager and researchers understand what they do during software projects. Therefore, in this study, we present a process to verify documents and program in software R & D. In the process we check documents produced in software R&D and test program code. We describe the process by using Essence elements including alpha, activity, and competency. We present a case study to show the effectiveness of the process.
Improving an Ensemble Model by Optimizing Bootstrap Sampling
Min, Sung-Hwan ;
Journal of Internet Computing and Services, volume 17, issue 2, 2016, Pages 49~57
DOI : 10.7472/jksii.2016.17.2.49
Ensemble classification involves combining multiple classifiers to obtain more accurate predictions than those obtained using individual models. Ensemble learning techniques are known to be very useful for improving prediction accuracy. Bagging is one of the most popular ensemble learning techniques. Bagging has been known to be successful in increasing the accuracy of prediction of the individual classifiers. Bagging draws bootstrap samples from the training sample, applies the classifier to each bootstrap sample, and then combines the predictions of these classifiers to get the final classification result. Bootstrap samples are simple random samples selected from the original training data, so not all bootstrap samples are equally informative, due to the randomness. In this study, we proposed a new method for improving the performance of the standard bagging ensemble by optimizing bootstrap samples. A genetic algorithm is used to optimize bootstrap samples of the ensemble for improving prediction accuracy of the ensemble model. The proposed model is applied to a bankruptcy prediction problem using a real dataset from Korean companies. The experimental results showed the effectiveness of the proposed model.
A Measurement System for Color Environment-based Human Body Reaction
Kim, Ji-Eon ; Jeong, Chang-Won ; Joo, Su-Chong ;
Journal of Internet Computing and Services, volume 17, issue 2, 2016, Pages 59~65
DOI : 10.7472/jksii.2016.17.2.59
The result of analyzing the cognitive reaction due to the color environment has been applied to various filed especially in medical field. Moreover, the study about the identification of patient's condition and examination the brain activity by collecting the bio-signal based on the color environment is being actively conducted. Even though, there were a variety of experiments by convention the color environment using a light or LED color, it still has a problem that affects the psychological information. Therefore, our proposed system using a HMD (Head Mounting display) to provide a completed color environment condition. This system uses the BMS(Biomedical System) to collect the biometric information which responds to the specific color condition and the human body response information can be measured by the development the Memory and Attention test on Mobile phone. The collection of Biometric information includes electro cardiogram(ECG), respiration, oxygen saturation (Sp02), Bio-impedance, blood pressure will store in the database. In addition, we can verify the result of the human body reaction in the color environment by Memory and Attention application. By utilizing the reaction of the human body information that is collected thought the proposed system, we can analyze the correlation between the physiological information and the color environment. And we also expect that this system can apply to the medical diagnosis and treatment. For future work, we will expand the system for prediction and treatment of Alzheimer disease by analyzing the visualization data through the proposed system. We will also do evaluation on the effectiveness of the system for using in the rehabilitation program.
Analytical Study for Typology of Signage Market : by applying Q methodology
Kim, Hang Sub ; Lee, Bong Gyou ;
Journal of Internet Computing and Services, volume 17, issue 2, 2016, Pages 67~76
DOI : 10.7472/jksii.2016.17.2.67
Defining of signage market types is an issue of great interest for both service providers and consumers. Through an interview with an expert with a deep understanding about digital signage in early-media stage, and based on analysis results, this study induced three types of signage market types. Each signage market type can be explained by their similar thoughts, opinions, concepts, and behaviors, but are dependent on the differences in a user experiences and knowledge. The study named the interactive signage market as Type 1, the network signage market as Type 2, and the signage-coupled-with-other-media market as Type 3.
A Study on Invasion of Privacy and Right to be forgotten by Internet Cookie Technology
Choi, Younsung ; Kwon, Oh-Geol ; Won, Dongho ;
Journal of Internet Computing and Services, volume 17, issue 2, 2016, Pages 77~85
DOI : 10.7472/jksii.2016.17.2.77
Internet cookie technology is designed for solving unreliable problem of HTTP's inherent property and notifying user's previous activity to web site's server, so it is useful to provide suitable service for individual user. However, the cookie techniques are becoming more sophisticated such as the third cookie and super cookie. And its included information is applied for advertisement and target marketing strategy, so the problem occurs that user's personal information is collected excessively. However, our law does not recognize the internet cookie as personal information so user cannot know where own internet cookie is stored and applicable. Therefore, in this paper, we explain the internet cookie technology, the privacy invasion and right to be forgotten for solving problem due to the internet cookie. And we analysis the relationship between the information of internet cookie and personal information, and then present the improvement requirement on the law and technology to use internet cookie securely and conveniently.
SNS as a Method of Election Campaign: A Case study of the 2015's Special Election in South Korea
Park, SeMi ; Hwang, HaSung ;
Journal of Internet Computing and Services, volume 17, issue 2, 2016, Pages 87~95
DOI : 10.7472/jksii.2016.17.2.87
Considerable research over the years has been devoted to ascertaining the impact of social media on political settings.In recent days, Social Network Sites (SNS) such as Facebook allowed users to share their political beliefs, support specific candidates, and interact with others on political issues. This study examines the role of SNS as the means of political campaign. The study tasks the case of the 2015'sspecial election, Seoul Korea. The analysis aims to identify how candidates use Facebook or Twitter to interact with voters by applying functional theory of political campaign discourse developed by Benoit. In this study, we analyzed the candidates' SNS messages in terms of political behavior such as self-expression, informing policy, asking voters to participate in political events. Among them the results indicated that two candidates, Jung, Dong Young and Byun, Hee Jae, both of them used SNS to express themselves the most. The study also found that two candidates used mainly the strategy called 'acclaim' which praises their own strengths. In terms of topics of SNS messages (policy versus character) there was different between two candidates. Jung, sent message in relation to 'character' the most, while Byun contained 'policy' message on SNS the most. Based on these findings implications and directions for future studies are discussed.
A Study on the Determinant Factors of the Social Capital Construction through Social Media: Focused on college students
Lee, Byung-Hye ;
Journal of Internet Computing and Services, volume 17, issue 2, 2016, Pages 97~107
DOI : 10.7472/jksii.2016.17.2.97
The purpose of this study was to investigate the determinant factors of the social capital construction through socal media focused on social media use, motives, trust. Total of 261, college students participated in this study. The data were analyzed by the exploratory factor analysis, confirmatory factor analysis, correlation analysis, reliability analysis and path analysis based on structural equation model analysis using IBM SPSS 21 and IBM AMOS 21 program. Results show that social media use, motives(employment/reminiscences) and social media trust influenced positively on bridging social capital. Second, motives of use(information/exchange) and social media trust influenced positively on bonding social capital. Finally, social media use, specifically, social media trust generally promotes participatory social capital.
Big Data and Entertainment Content : Case Studies and Prospects
Kim, Hae Won ; Lee, Mina ;
Journal of Internet Computing and Services, volume 17, issue 2, 2016, Pages 109~118
DOI : 10.7472/jksii.2016.17.2.109
Big data, thanks to the development of data sciences, has been key words for economic development and governmental policies. This study reviewed how big data has been used with entertainment contents since the uses of big data in the fields have been more popular and the cases making successful business have been reported. To do ends, the changes in production, distribution, and consumption of entertainment contents have been characterized and prime cases have been introduced. Furthermore, Korean production companies of entertainment contents, Bloter and NEOTOUCHPOINT, were selected to investigate how big data has been utilized. It was found that the companies used big data to analyze consumers' behaviors and gain insights of content creation, such as identifying specific elements of enjoyments and conditions to share the contents with others. The domestic entertainment companies are preparing a full-scale of use of big data but, in order to take advantage of big data, collaboration between developers and experts in the field and specific goal-setting and model building are recommended.