• Journal of Sport and Applied Science
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• v.6 no.2
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• pp.19-25
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• 2022

Purpose: This study attempts to investigate causal and intervening conditions for sport participation of Korean immigrants in the United States. Research design, data, and methodology: Grounded theory approach was used to develop a conceptual framework that presents the psychosocial processes that occur in immigrants' experience of sport participation. Participants were selected purposefully for information-rich cases. Korean immigrants with current experience of having periodically participated in sports were the criterion for sample selection. Based on selection criteria, 9 Korean immigrants took part in interview. The interview discussions were taped and transcribed verbatim into a Word file. The process for data analysis included four grounded theory approaches of purposive and theoretical sampling, an open and axial coding, memo writing, and finally the development of the conceptual framework. Results: Six concepts were revealed in the causal conditions that facilitate the process of immigrants' sport participation in the states: Personal experience, significant others, personality, physical environment, psychological well-being, and social connection. Three concepts were revealed as the intervening conditions that block the process of immigrants' sport participation in the states: Conflict with cultural change of organization, Pressure at workplace, and Economic constraints. Conclusions: Conceptual model presents causal and intervening factors. Further implications were discussed.

• Journal of the Korean Institute of Telematics and Electronics
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• v.27 no.4
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• pp.571-579
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• 1990

A dynamic relocation algorithm for non-deterministic process graph in distributed computer systems is proposed. A method is represented for determining the optimal policy for processing a process tree. A general database query request is modelled by a process tree which represent a set of subprocesses together with their precedence relationship. The process allocation model is based on operating cost which is a function fo selection of site for processing operation, data reduction function and file size. By using expected values of parameters for non-deterministic process tree, the process graph and optimal policy that yield minimum operating cost are determined. As process is relocated according to threshold value and new information of parameters after the execution of low level process for non-deterministic process graph, the assigned state that approximate to optiaml solution is obtained. The proposed algorihtm is heuristic By performing algorithm for sample problems, it is shown that the proposed algorithm is good in obtaining optimal solution.

• Journal of the Korea Institute of Building Construction
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• v.17 no.6
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• pp.559-566
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• 2017

The bidding method of public works is decided based on the experience of the officials in charge and the convenience of the work, but the validity of decision making process for the bidding method has not been verified. Another challenge in the bidding method selection is its objective validation is not easy because the decision making is based on experience, when a new type of project is ordered or a new bidding method is applied In this study, therefore, a decision making model to facilitate the selection of a public construction project delivery method was developed and examined with its applicability. This model was developed using the Analytic Hierarchy Process and was verified through 32 persons who were actually in charge of the works. As a result of applying this model, 5 of the 32 persons showed consistency in using the model. and they expressed positive opinions about the model. The model can provide a guide while recognizing the fact that they cannot depend entirely on the model. Therefore, the model proposed in this study is expected to reduce the work-related burden of the persons who are involved in the related work and help the objective performance of their tasks when a new bidding method or project appears in the future.

• Journal of the Korea Institute of Building Construction
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• v.10 no.4
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• pp.49-57
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• 2010

Selecting an appropriate formwork to fit the construction of a high-rise building is an important factor that can influence the success or failure of a construction. Currently, however, the reality is that in domestic high-rise building construction, the selection of an appropriate formwork with consideration of the characteristics of the formwork has not been done in a reasonable manner. To select formwork in a systematic and reasonable fashion, comprehensive consideration is required that must not only include the aspect of construction costs, but also air, quality, safety, and environmental issues. Therefore, this study aims to rationalize the selection process of formwork by applying the scientific method of Analytic Hierarchy Process (AHP) to the selection process of formwork, in terms of construction costs, quality and safety. To do this, the researcher investigated the current status of formwork being used in high-rise residential building construction. Then, based on the results of this investigation, the researcher selected an alternative for the formwork, and taking construction experts as the subjects of this study, conducted a survey on the applicability of the formwork as well as the priority of management thereof when selecting formwork. It is judged that the results of this research will contribute a more scientific and reasonable decision-making process than the existing non-scientific method in selecting formwork for high-rise residential building construction.

• Journal of the Economic Geographical Society of Korea
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• v.10 no.2
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• pp.223-238
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• 2007

Central government of Korea devised the balanced national development as one of important agenda of government administration, and set up special act for balanced national development. According to special act, a plan to transfer public institutions to local areas was publicized on June 24, 2005. Thus 175 public institutions located in the capital area will be transfered to 11 local governments, and innovative cities will be built in local areas until 2012. However, Gwangju and Jeonnam province adopted not two individual innovative cities but one common innovative city in cooperation with two local governments. This study focuses on the characteristics of location selection process of common innovative city in Gwangju and Jeonnam province. Discussion about construction of common innovative city was started in need of new model for common development of two provinces, and most of peoples agreed a plan to establish on common innovative city within Jeonnam area near Gwangju area. Gwangju Jeonnam Regional Innovation Council, in particular, played an important role in the process of location selection and initial discussion about common innovative city. In addition, Common innovative city to be built in Naju city will be provided positive regional development effects in several dimensions. In result, it has been evaluated as a successful model of innovative city to be constructed with transfer of public institutions to local areas.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.10
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• pp.5023-5038
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• 2017

Big data is an emerging technology which deals with wide range of data sets with sizes beyond the ability to work with software tools which is commonly used for processing of data. When we consider a huge network, we have to process a large amount of network information generated, which consists of both normal and abnormal activity logs in large volume of multi-dimensional data. Intrusion Detection System (IDS) is required to monitor the network and to detect the malicious nodes and activities in the network. Massive amount of data makes it difficult to detect threats and attacks. Sequential Pattern mining may be used to identify the patterns of malicious activities which have been an emerging popular trend due to the consideration of quantities, profits and time orders of item. Here we propose a sequential pattern mining algorithm with fuzzy logic feature selection and fuzzy weighted support for huge volumes of network logs to be implemented in Apache Hadoop YARN, which solves the problem of speed and time constraints. Fuzzy logic feature selection selects important features from the feature set. Fuzzy weighted supports provide weights to the inputs and avoid multiple scans. In our simulation we use the attack log from NS-2 MANET environment and compare the proposed algorithm with the state-of-the-art sequential Pattern Mining algorithm, SPADE and Support Vector Machine with Hadoop environment.

• Journal of Digital Contents Society
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• v.8 no.2
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• pp.129-139
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• 2007

The past interactive art was only attempted through interdisciplinary study of art and science. As it goes to the digital age, however, the artistic methods based on digital technology have been gradually increasing in combination with other media in various ways. This paper analyzes how spectators' individual selection of viewing-route increases the interaction between spectators and interactive art work by focusing on $\ulcorner$Meta 4Saisons$\lrcorner$. In the process of route selection, each spectator selects his/her own viewing-route almost different from the others', respectively. This individual viewing-route makes each spectator placed in a position of individual interaction, thus leading him/her to the experience of various feelings through the act of immersing in the interactive art interface.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.6
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• pp.370-376
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• 2016

Manufacturing data analysis and its applications are getting a huge popularity in various industries. In spite of the fast advancement in the big data analysis technology, however, the manufacturing quality data monitored from the automated inspection system sometimes is not reliable enough due to the complex patterns of product quality. In this study, thus, we aim to define the level of trusty of an automated quality inspection system and improve the reliability of the quality inspection data. By correlation analysis and feature selection, this paper presents a method of improving the inspection accuracy and efficiency in an SVM-based automatic product quality inspection system using thermal image data in an auto part manufacturing case. The proposed method is implemented in the sealer dispensing process of the automobile manufacturing and verified by the analysis of the optimal feature selection from the quality analysis results.

• The Journal of Industrial Distribution & Business
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• v.11 no.10
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• pp.17-25
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• 2020

Purpose: The purpose of this study is to narrow the target down to college students representing single-person households to identify the main attributes of their choice of Home Meal Replacement(HMR) and to look at the impact on satisfaction and repurchase intentions. Research design, data and methodology: An online survey was conducted for consumers who purchased HMR products at least once and a total of 264 questionnaires were used for demonstration analysis. The collected data have verified for validity and reliability between measurement variables through exploratory factor analysis and reliability analysis. Results: As a result, curiosity, economy, safety, and brand, which are HMR selection attributes that university students' value, have a significant impact on satisfaction, and satisfaction has a significant impact on the intention of repurchase, a variable of behavior. In addition, the adjustment effect of health value pursuit was significant only in safety attributes. Conclusions: This study divided the target group to examine what the HMR selection attributes of single-person college students are, the main consumer of HMR, and how selective attributes affect satisfaction and willingness to repurchase. In the process, we wanted to find out if there was a moderating effect on the health-oriented values in the dietary lifestyle.

• Journal of Korean Tunnelling and Underground Space Association
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• v.16 no.2
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• pp.125-133
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• 2014

In this study, TBM selection methods to meet soil and site conditions were presented. Factors and excavation equipment affecting TBM selection by soil and environmental condition were selected and classified. Weights between equipment and influencing factors selected were calculated by applying the AHP (Analytic Hierarchy Process) method. The results of the analysis influence factors, Ground condition was a major factor in objective factors and strength was a major factor in the hard condition of criteria factors and water pressure was a major factor in the soft ground condition of criteria factors. In Environment condition, existence of adjacent structures was evaluated more important than existence of feasible site. Lastly, Adequacy was verified through the deduction of results that coincide with input equipment by applying derived weights to actual site conditions.