• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.2
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• pp.466-474
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• 2014

According to wireless network technology and mobile processors performance were improved, the small wireless mobile device such as smart phones has been widely utilized. The mobile devices can be used GPS information, thereby the services based on location information was increased. GPS was impossible to provide location information in indoor and signal shading environment, and the tracking systems based on short distance wireless communication are required infrastructure. The IEEE 802.11 based tracking system is possible estimation using APs, however the tracking device is exhausted battery power seriously. In this paper, we propose IEEE 802.11 based low-power tracking system. We reduced power consumption from channel scanning and network connection. For performance evaluation, we designed and implemented the tracking tag device, and measured power consumption of the device. As the simulation result, we confirmed that the power consumption was reduced 46% compare to the standard execution.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.146-147
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• 2017

Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Internet of things" keyword, one month as of october 8, 2017. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Internet of things" has been found to be technology (995). This study suggests theoretical implications based on the results.

• The KIPS Transactions:PartD
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• v.15D no.2
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• pp.179-186
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• 2008

The converge of location-aware devices, GIS functionalities and the increasing accuracy and availability of positioning technologies pave the way to a range of new types of location-based services. The field of spatiotemporal data mining where relationships are defined by spatial and temporal aspect of data is encountering big challenges since the increased search space of knowledge. Therefore, we aim to propose algorithms for mining spatiotemporal patterns in mobile environment in this paper. Moving patterns are generated utilizing two algorithms called All_MOP and Max_MOP. The first one mines all frequent patterns and the other discovers only maximal frequent patterns. Our proposed approach is able to reduce consuming time through comparison with DFS_MINE algorithm. In addition, our approach is applicable to location-based services such as tourist service, traffic service, and so on.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.10
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• pp.351-356
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• 2014

Recently, automobile black boxes have evolved to support functionality to transfer videos stored in them into mobile phones via wireless network, from which the videos can be utilized for various purposes. This paper presents a method for automation of traffic violation reports using the automobile black boxes. When a traffic violation is captured by a black box, the proposed method helps a user to transfer the video capturing it into a mobile phone through a simple UI operation. With the video, an HTTP request to report the violation is automatically generated from the mobile phone, and then is transferred to a cyber-report center. We present a prototype system that implements the proposed method, and discuss several issues necessary to apply the method to real-world applications.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.1
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• pp.99-107
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• 2008

Recently route guiding system using GPS is spread widely. In the parking management system of complex mall, RFID is mainly used to control status of parking lots. However, in a case that a vehicle only with RFID tag enters into small market-populated district with service of parking lots, there is no parking route guiding system optimized with information of real tine status of parking lots and the system only with GPS can't provide a function of using real time status of parking lots. This paper proposes a location recognizing method of RFID tag object for parking control system to integrated several parking lots in the business district and database-linked route guiding system optimized for parking. The proposed location recognizing method makes the search of optimized parking route possible by abstracting decoding order of tag and antenna number and recognizing direction of tag linked with database. Ihe implemented system that is composed of RFID tag, reader, middleware, server, parking lot clients and mobile clients shows that the proposed method works well and it will be useful for integrated parking control system.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.7-14
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• 2019

With the development of information and communication technology, we have been able to access and manage documents containing corporate information anytime and anywhere using smart devices. As the work environment changes to smart work, the scope of information distribution is expanded, and more efforts are needed to manage security. This paper proposes a file sharing system that enables users who have smart devices to manage and share files through mutual cooperation. Proposed file sharing system, the user can add a partner to share files with each other when uploading files kept by spliting the part of the file and the other uses an algorithm to store on the server. After converting the file to be uploaded to base64, it splits it into encrypted files among users, and then transmits it to the server when it wants to share. It is easy to manage and control files using dedicated application to view files and has high security. Using the system developed with proposed algorithm, it is possible to build a system with high efficiency even for SMEs(small and medium-sized enterprises) that can not pay much money for security.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.407-413
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• 2019

The purpose of this study is to measure the shopping experience of a more specific SNS shopping service, limited to shopping through the Instagram of the Millennial Generation. Based on the AISAS purchasing phase, a qualitative study was conducted on the user experience of SNS shopping services in parallel with the survey and in-depth interviews. As a result of the study, the aesthetic experience appeared mainly in the Attention stage and the Interest stage, the emotional experience in the Action stage and the Share stage, and the cognitive experience in the Search stage. While there have been many empirical studies on the impact of SNS on consumer behavior to date, this study is meaningful in that it has led to a contextual study of the user experience on SNS shopping services. The research is expected to help establish a brand and service strategy differentiated from existing mobile shopping services when providing SNS shopping services in the future.

• Journal of Korean Library and Information Science Society
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• v.52 no.2
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• pp.275-301
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• 2021

The purpose of the research is to find out both what information tweens (12~14 years old adolescents) need and how they use YouTube to satisfy with their information needs. In order to achieve the goal, the research collected the data by conducting a survey on tweens (N=130) and analyzed the data with statistical processes. The research found out some significant results: first, tweens frequently use the informaton on YouTube and search for leisure information most often. Second, tweens search for information on YouTube because of ease and convenience on learning information even though they do not trust the information on YouTube. Third, tweens regard that YouTube play the role as a significant information source and searching tool, and use information on YouTube because the information on YouTube are composed of easy-to-understand video format. On the basis of the results, the research suggests and discusses how information organization such as public or school libraries provide information services for youth groups effectively.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.1
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• pp.85-91
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• 2011

The technique, which is able to detect and recognize characters in videos such as a movie or TV drama, can be used for applications which are database management of a general user's facial images for the suppliers of PVR(personal video recorder), mobile phones, and multimedia, etc. In this paper, we propose a face detection algorithm. It searches the character through cast indexing when the scene is changed in video. It is consisted of three stages. The first step is the detection-step of the scene change after producing a paused image. The second step is the face detection-step using color information. The final step is the detection-step which detects its features by the facial boundary. According to the experimental result, it has detected faces in different conditions successfully and more advanced than the existing other one that are using only color information.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.46-63
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• 2022

With the rapid development of digital technology and the growing trend to integrate it into the medical field, recent studies suggest language rehabilitation for people with aphasia using virtual reality (VR), augmented reality (AR) and mobile applications. This study conducted a scoping review to summarize the features of digital technology-based language rehabilitation for aphasia in the last four years (2018-2021) and draw implications for future research. A total of 20 papers met the selection criteria among the documents retrieved from the Web of Science, CINAHL, and RISS. This review demonstrates that digital technology could offer unique treatment content by gamification, individualization, and creating a realistic communication environment, and by utilizing them in various ways. Therefore, we expect digital technology-based language rehabilitation for aphasia could supplement the limitations of conventional language rehabilitation and provide a novel perspective on development of treatment content.