• The Journal of Society for e-Business Studies
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• v.18 no.2
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• pp.223-240
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• 2013

RFID(Radio Frequency Identification) is use of an RFID tag applied to object for the purpose of identification and tracking using radio waves. Recently, it is being actively researched and introduced in logistics and manufacturing. RFID portals in supply chains are meant to identify all the tags within a given interrogation zone. Hence the hardware and software mechanisms for RFID tag identification mostly focus on successful read of multiple tags simultaneously. Such mechanisms, however, are inefficient for determining moving direction of tags, sequence of consecutive tags, and validity of the tag reads from the viewpoint of workflow. These types of problems usually cause many difficulties in RFID portal implementation in manufacturing environment, there by having RFID-system developers waste a considerable amount of time. In this research, we designated an RFID portal system with SDO(Sequence, Direction, and Object-flow)-perception capability by using fundamental data supplied by ordinary RFID readers. Using our work, RFID system developers can save a great amount of time building RFID data-capturing applications in manufacturing environment.

• The KIPS Transactions:PartD
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• v.13D no.6 s.109
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• pp.839-846
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• 2006

Context-aware adaptive service for overcoming the limitations of wireless devices and maintaining adequate service levels in changing environments is becoming an important issue. However, most existing studies concentrate on an adaptation module on the client, proxy, or server. These existing studies thus suffer from the problem of having the workload concentrated on a single system when the number of users increases md, and as a result, increases the response time to a user's request. Therefore, in this paper the adaptation module is dispersed and arranged over the client, proxy, and server. The module monitors the contort of the system and creates a proposition as to the dispersed adaptation system in which the most adequate system for conducting operations. Through this method faster adaptation work will be made possible even when the numbers of users increase, and more stable system operation is made possible as the workload is divided. In order to evaluate the proposed system, a prototype is constructed and dispersed operations are tested using multimedia based learning content, simulating server overload and compared the response times and system stability with the existing server based adaptation method. The effectiveness of the system is confirmed through this results.

• Journal of KIISE:Software and Applications
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• v.33 no.9
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• pp.776-786
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• 2006

This paper proposes XML based mobile information visualization system using rectangle layout to show effectively XML based information to user on mobile devices which do not have a rich display feature. We define XML schema that can describes information in graph with cycle as well as information in tree form. It suggests using rectangle layout method that is an improvement of the traditional method of the radial layout because the specificity of the mobile display should be considered when XML information is rendered on the screen. And then, it applies DOI of fisheye view algorithm to information on the rectangle layout to represent all and user interest information. And it also suggests an effective method considering capability of mobile devices to decrease user's confusion and improve awareness of user when a user Interest target selected. The proposed information visualization system in the form of focus+context supports an effective interface for information retrieval via mobile devices, such as PDA, cellular phone and smart phone, that usually have less power of CPU than that of PC and the constraints of display and memory. In this paper, it performs experiments and makes an evaluation comparing information visualization method between the traditional radial layout and the proposed rectangle layout.

• Korean Journal of Social Welfare
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• v.61 no.2
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• pp.247-276
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• 2009

The purpose of this essay is to explore the methodological standpoint and the meaning of 'Discourse Analysis' in policy science. I discussed it in three dimensions including: 1) the ontological point of view, 2) the epistemological perspective, and 3) researcher's position in policy research. 1) From the ontological standpoint, I explained the policy as a text, context, discourse, and ideology, that is focused on being constructed by the formative power of language. 2) The ontological standpoint produced "the argumentative turn" in the policy analysis, and many policy analysts emphasize the argumentative process of policy making and evaluation. This argumentation process includes the interpretative and critical viewpoints as well as the normative and ethical characteristics of policies in the discourse analysis. We should reexamine reality critically because discourse is ultimately influenced by the prevailing cultural and social norms. Therefore, an interpretative and critical viewpoint is an epistemological perspective in the discourse analysis. This critical approach creates an awareness of the limitations on our thinking under the particular major discourse, and requires the self-reflection within and beyond the discourse. This process leads to the human emancipation. 3) In order to achieve this emancipation, the last approach suggests that we need to scrutinize "the subject" as a researcher, who is also influenced and subjectified by the major discourse and, thus must deconstruct his or herself. Last but not least, we should emphasize the researcher's role as a listener of the minor voice(discourse) and even the silence of the clients.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.519-522
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• 2017

In this paper, we propose an algorithm for an alternative method using the clustering algorithm in a system that needs classification to extract individual user context information. In the conventional user classification system, the user has to input his own information. In this paper, we will research and develop a system applying a clustering algorithm which can extract user 's perceived information applying the improved algorithm for user management base. Generally, the algorithm that distinguishes users with the same data makes sure that recorded information matches the newly entered information, and then responds accordingly. However, it is troublesome to manually input information of the new user. Therefore, in this paper, we propose a method to distinguish users by using the clustering algorithm based on the analyzed data from the working memory in the accumulated system without directly inputting the user information. The study shows that the management method applied to the applied algorithm is more adaptive in environments where the number of people is different from that of the existing system (as a subjective observer test method).

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.5
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• pp.148-154
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• 2008

In a ubiquitous computing environment, a ubiquitous smart space is required to help devices provide intelligent services. The smart space embedded with mobile devices should have the capabilities of collecting data and refining the data to contact. Unfortunately, the context information in a ubiquitous smart space has many ambiguous characteristics. Therefore, it is necessary to adapt a standard taxonomy for contact information in the smart space and to implement an inference technique of the context information based on taxonomy. Rule-based inference engine, such as CLIPS, Jess, was employed for providing situation-aware services. However, it is difficult for these engines to be used in resource limited mobile devices. In this paper, we propose a light-weight inference engine providing autonomous situation aware services in mobile environment. It can be utilized for personal mobile devices tuck as mobile phone, PMP and navigation. It can also support both generalized rules and specialized rules as using hierarchical taxonomy information.

• 한국노년학
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• v.30 no.1
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• pp.221-240
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• 2010

Despite a growing trend in elder mistreatment, research about the problem and its effects on the victims has been sparse. Notably missing are the perspectives of older adults themselves, whose perceptions and responses to elder mistreatment are greatly affected by social and cultural context. The purpose of this study is to examine factors associated with older persons' perceptions of elder mistreatment and subsequent help-seeking behaviors. Six hypothetical scenarios featuring elders were the basis of interviews with 124 older persons, drawn by a quota sampling strategy. Findings indicated that older persons perceived situations of physical abuse (87.9%), financial abuse (86.3%), and psychological abuse (66.1%) to be elder mistreatment, yet respondents showed less sensitivity to elder mistreatment that took the form of physical mistreatment within a couple (47.6%), neglect (40.3%), and self-neglect (16.9%). Certain scenarios yielded less intention to seek help: namely, physical mistreatment within a couple, neglect, and self-neglect. Older persons' personal characteristics, social factors, and cultural factors exerted significant influence on both perception and help-seeking behavior. Perception was identified as a key factor that significantly influenced help-seeking behavior. Findings point to awareness of cultural and social context for success in elder mistreatment prevention, intervention, and policy design for this population.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.4
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• pp.44-57
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• 2019

Various studies have been conducted to solve traffic congestions in many metropolitan cities through accurate traffic flow prediction. Most studies are based on the assumption that past traffic patterns repeat in the future. Models based on such an assumption fall short in case irregular traffic patterns abruptly occur. Instead, the approaches such as predicting traffic pattern through big data analytics and artificial intelligence have emerged. Specifically, deep learning algorithms such as RNN have been prevalent for tackling the problems of predicting temporal traffic flow as a time series. However, these algorithms do not perform well in terms of long-term prediction. In this paper, we take into account various external factors that may affect the traffic flows. We model the correlation between the multi-dimensional context information with temporal traffic speed pattern using deep neural networks. Our model trained with the traffic data from TOPIS system by Seoul, Korea can predict traffic speed on a specific date with the accuracy reaching nearly 90%. We expect that the accuracy can be improved further by taking into account additional factors such as accidents and constructions for the prediction.

• Korea Science and Art Forum
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• v.30
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• pp.453-464
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• 2017

With the development of IT technology, various smart products and services have been spread in our daily life, providing users with convenience and emotional satisfaction. Particularly, input and output technologies, sensor technologies, and intelligent system technologies have offered new opportunities for diverse interaction patterns and new user experiences. This research started from the interest in the idea generation of product designers who need to combine various technological aspects with users' needs. The goal of this research is to propose an interaction design framework which can be used in an idea generation stage. To do so, first, the concept and characteristics of smart products were studied through literature reviews, and the interaction technologies, including input/output modality and context-aware technologies, were also investigated. Then, the frameworks that have been proposed in the deisgn fields were reviewed. This paper finally proposed the interaction design framework and explained its application to the idea generation, using several case studies. The proposed framework consists of four categories: product components, context-awareness elements, information input elements, and feedback output elements. Each of these are divided into several sub-categories, focused on users' needs. Sub-categories includes some elements of interaction, and each of the elements is explained with an existing smart product/system. The paper also describes how the proposed framework would be used in the idea generation process, using some design ideation examples. In the future study, more various concept ideas will be proposed through some elaborated case studies, and the framework is expected to be verified in terms of its possibility as an idea generation tool.

• Korean Journal of Culture and Arts Education Studies
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• v.9 no.3
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• pp.45-61
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• 2014

Recently, there is a discussion about culture theory in the area of traffic safety regulation. It has the view that the subject of criticism, etc. by drivers' regulation interpretation, awareness about the danger of regulation violation and nonacceptance of regulation can be changed according to the way drivers' cultural bias was formed. According to the culture theory, fundamental views of the world in particular social relations surrounding individuals, world view or cosmology, are formed and the world view makes an effect on individual behavior and attitude. In this context, cultural cognition and cultural learning theory which are suggested in Christoph Wulf's study on historical-cultural anthropology provide new approach toward this phenomenon. According to his insistence, core mechanisms which can explain cultural cognition and cultural learning are systematized by five things; physical characteristic, mimesis, performance theory, rite and image. The purpose of this research is to investigate the changes by the way Korean people cognize traffic regulations culturally and experiences of traffic regulation violation through the analytic frame of Christoph Wulf's five core mechanisms. To achieve it, cognition of traffic culture was analyzed by analytical phenomenology for drivers who had been educated due to their violation of traffic regulations. Value, lifestyle and practicing methods which are pursued by people work in sociocultural context rather than are influenced by cognitive structure of individuals.