• The KIPS Transactions:PartD
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• v.19D no.1
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• pp.21-28
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• 2012

Predication of protein interaction sites for monomer structures can reduce the search space for protein docking and has been regarded as very significant for predicting unknown functions of proteins from their interacting proteins whose functions are known. In the other hand, the prediction of interaction sites has been limited in crystallizing weakly interacting complexes which are transient and do not form the complexes stable enough for obtaining experimental structures by crystallization or even NMR for the most important protein-protein interactions. This work reports the calculation of 3D surface patches of complex structures and their properties and a machine learning approach to build a predictive model for the 3D surface patches in interaction and non-interaction sites using support vector machine. To overcome classification problems for class imbalanced data, we employed an under-sampling technique. 9 properties of the patches were calculated from amino acid compositions and secondary structure elements. With 10 fold cross validation, the predictive model built from SVM achieved an accuracy of 92.7% for classification of 3D patches in interaction and non-interaction sites from 147 complexes.

• Convergence Security Journal
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• v.19 no.3
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• pp.71-79
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• 2019

The demand of smart cars is increasing rapidly. International stand organize such as 3GPP and 5GAA are proposing standard communication protocvols for connected-car, and automotive network infrastructure. But Smart car network have many security threats and more dangerous against the existed wire communication network. Typically, peripheral devices of a smart car may disguise their identity and steal location information and personal information about the vehicle. In addition, the infrastructure elements around smart cars can conspire and put driving cars in danger, threatening lives. This is a very serious security threat. Therefore, in order to solve these problems, we proposed a system that is secure from collusion and tampering attacks using attribute-based authorize delegation method and threshold encryption algorithms. We have demonstrated using a semantic safety model that the proposed system can be safe from collusion attack.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.3
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• pp.287-293
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• 2012

This paper presents an efficient image registration method by measuring the similarity, which is based on multi-dimensional intensity fluctuation. Multi-dimensional intensity which considers 4 directions of the image, is applied to reflect more properties in similarity decision. And an intensity fluctuation is also applied to measure comprehensively the similarity by considering a change in brightness between the adjacent pixels of image. The normalized cross-correlation(NCC) is calculated by considering an intensity fluctuation to each of 4 directions. The 5 correlation coefficients based on the NCC have been used to measure the registration, which are total NCC, the arithmetical mean and a simple product on the correlation coefficient of each direction and on the normalized correlation coefficient by the maximum NCC, respectively. The proposed method has been applied to the problem for registrating the 22 face images of 243*243 pixels and the 9 person images of 500*500 pixels, respectively. The experimental results show that the proposed method has a superior registration performance that appears the image properties well. Especially, the arithmetical mean on the correlation coefficient of each direction is the best registration measure.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.386-403
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• 2021

Preannouncing a new product to its target audiences has been more and more prevalent in a wealth of industries, particularly industries that attach great importance to the speed of entry. Grounded in market signaling theory, the current research advances a theoretical model that takes full cognizance of the relation between preannounced information about an upcoming product and individual customers' behavioral intentions as well as significant moderating effects of prior product knowledge and new product innovativeness. In response, a web-based survey is conducted for data collection and the structural equation model is utilized for data analysis. Results of this study demonstrate that preannounced new product information attributes (i.e., quantity, clarity) may positively influence consumers' attitudes, in turn, lead to a favorable purchase intention. Moreover, the moderating effects of product knowledge and product innovativeness are also confirmed. Specifically, product knowledge moderates the quantity-attitude relation positively and moderates the clarity-attitude relation negatively, whereas product innovativeness does opposite. Both implications and limitations are also described.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.275-287
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• 2019

As game players have been more diverse and new features of digital games have been emerged in recent days, it is important to find out and understand how recent game players recognize and classify digital games. Thirty game players conducted Q-analysis of twenty-nine Q-statements extracted from previous studies on game typology. By using a QUANL program, three different types were revealed. For game classification, 'Physical Environment Centric Players' type highly values external game elements from the outside perspectives. 'Contents Centric Players' type considers internal game elements as the most important criterion. 'Emotional Experience Centric Players' type values his/her subjective feeling and thoughts. Based on this study, it is expected to make a contribution in developing a framework of game players with their perspectives on game classification.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.4
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• pp.408-424
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• 2020

This study attempts to analyze the spatial clustering of survived and closed coffee shops based on the land price and land use for each coffee shop location. The locational characteristics of survived and closed coffee shops for each cluster type are identified through various locational properties such as transport factors (physical accessibility), shop properties (franchise information, newly open/closed business experience), and spatial density (kernel density estimation). To this end, we categorize the clusters of survived and closed coffee shops into three types (general locational distribution type, commercialization type of residential area and location type of commercial center), and then analyze their locational characteristics. As the result, we found that the locations of newly open and closed coffee shops show different distribution characteristics, even though they are classified into the same type due to the double sidedness of new open and closed locations. The results of this study can be provided as basic data for planning the location of coffee shop as well as regional commercial district.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.357-369
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• 2020

This study tries to identify and clarify the concept of barriers to sexual health nursing care. A hybrid model was used to perform a concept of barriers to sexual health nursing care. To accomplish this, we analyzed data collected from 4 participants as well as from available literature regarding. We categorized barriers to sexual health nursing care were identified to have five dimensions and six attributes. The definition of barriers to sexual health nursing care recognizes the need and necessity of sexual health nursing care, but due to difficulty in accessing sex, prejudice, stereotypes, difficulty in communication, and lack of knowledge related to sex, the subjects are provided with professional sexual health nursing education and it is found that the service was not provided. This study is a basic data for evaluating barriers to sexual health nursing care as a prerequisite for reducing barriers to sexual health nursing care experienced by nurses to provide sexual health nursing care. Besides, the results may serve as a basis for proposing the development of a program to reduce barriers to sexual health nursing care.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.287-300
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• 2020

The present study applied the IPA(Importance-Performance Analysis) to derive several practical alternatives for the improvement of Chuncheon Silver Orchestra program using IPA(importance-performance analysis). Most importantly, this work performed a comparative study using sample data collected from two groups of silver member(N=53) and program operator(N=32). A careful literature review leaded to the development of six types of evaluation sectors, including 'connection with the local community', 'budget operation', 'program operation', 'manpower operation', 'public relations strategy' as well as 'environment for program operation'. This work further devised twenty-two evaluation items. The results indicated that silver member group rated 'manpower operation' the highest in their both perceived importance and performance. Program operator group rated 'budget operation' and 'manpower operation' rated the highest in their perceived importance and performance, respectively. The results form IPA matrix analysis provides an important implication that much efforts and interests should be sustainably given from the perspective of the silver member group and the program operator group coupled with four types of IPA quadrant, accordingly.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.319-325
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• 2021

The urban regeneration project is an activity that promotes the economy in underdeveloped commercial or residential areas and maintains urban communities through improvement of living in residential areas. Through this study, various successful cases of urban regeneration at home and abroad and surveys related to urban regeneration in Bongsan Village, Yeongdo, Busan were collected and analyzed. Key keywords for each case were derived, grouped, and top keywords were created. The 13 top keywords were evaluated using Likert's 5-point scale, and AHP was conducted for the 10 keywords that were finally selected. As a result of AHP analysis, the preference for "spatial and physical properties" was derived in the order of "publicity", "sustainability", and "identity". The preference of "content and system properties" was derived in the order of "resident participation", "convenience", "locality", and "local government participation". It is necessary to present a role as a design guideline for establishing urban regeneration designs in relation to various urban regeneration projects that will become more active in the future through the analysis of preferences of urban regeneration keywords derived through this study.

• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.506-517
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• 2022

The study was conducted to identify and clarify the conceptual definitions and attributes of caregiving satisfaction in family caregivers of patients with dementia. The hybird model was used to perform the concept analysis of caregiving satisfaction. Results from both the theoretical review and a field study including 7 participants were included in final process. The concept of caregiving satisfaction was found to have three dimensions with seven attributes. Caregiving satisfaction by family caregivers of patients with dementia was defined as positive of aspects of caregiving usually experienced in three dimensions such as interpersonal dimensions (accomplishing a duty, reciprocity, strengthening of the relationship), role performance dimensions (feeling of accomplishment, emotional reward, emotional comfort) and meaning of role dimensions (positive meaning-making). Based on the results, a tool for measuring caregiving satisfaction among Koreans family caregivers of patients with dementia and effective programs for enhancing caregiving satisfaction should be developed in future studies.