KSII Transactions on Internet and Information Systems (TIIS)
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v.18
no.8
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pp.2346-2365
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2024
This research identifies specific user experience factors that have positive impact on user's behavior intention to use so that a new technology called stretchable display(SD) can be accepted and spread in the market. To show how these factors can be applied to SD home appliances, a few concrete designs have been suggested. In the first stage of the research, the initial concept of innovative product design with stretchable display was derived by developing a scenario that solves the expected experience by home product users through the attributes of the SD technology. In the second stage, a scenario of the product to which a stretchable display was applied was suggested to investigate the expected experience factors that influence the behavior intention to use. As a result of the analysis, users showed a positive intention to use for the factors of Functionality of Space and Life Support, Presentation of Preferences, and Customization of Emotions, provided by the product with SD technology applied. In the next stage, based on the verified user experience factors, multifunctional kitchen appliances design, smart furniture design with flexible surfaces, and smart interior wall tile design have been derived. After all, the differentiated transformable interface designs shown through this process have been suggested as three-dimensional soft-physical button design and attachable design for multi-curved soft furniture. This study is significant as it emphasizes a user-centered design process over a technology-centered approach, enhancing market acceptability and focusing on design features aligned with the user's expected experience.
The purpose of this study was to identify important selection attributes of customers for dining at family restaurants, and the determinant and predicting factors in customers' intentions of revisiting. A closed-ended questionnaire was used, and a systematic sampling approach was employed to survey a sample of customers in family restaurants. A total of 124 questionnaires were used for analysis among 300 distributed. Multivariate analysis(factor and regression analysis) was performed for 19 selection attributes measured on a five-point scale. A four-dimensional structure(harmonized decoration consistent service, valuable food, and attractive facility) was established from 19 selection attributes. The results of the study showed that three dimensions were significantly related with the customer's intention of revisiting. The dimension of consistent service had the greatest impact on customers' choice. It was clear that a family restaurant manager's emphasis on only one dimension to attract customers might not be as effective as applying a multi-dimensional strategy.
The purpose of the present study is to examine elementary gifted students' perceptions on bias against creativity utilizing concept mapping approach. Twelve elementary gifted students participated in the group brainstorming and produced 55 final statements. Based on these statements, the multi-dimensional scale and hierarchial cluster analysis using dissimilarity matrix were performed. Average stress value was .30 which is appropriate for a two-dimensional concept mapping study. In addition, a questionnaire survey using likert 6 points scale was carried out targeting 132 elementary gifted students to analyze the degree of sympathy on their anti-creativity bias perception. The findings are as follow: First, four categories were concluded dividing gifted students' perceptions on bias against creativity from the hierarchial cluster analysis with X-Y coordinate matrix, these were 'Contradictory attitudes to creativity', 'Low evaluation for creativity', 'Forced to predetermined rules and ideas', and 'Aversion to new things'. Second, elementary gifted students were sympathetic to the order 'Forced to predetermined rules and ideas'(M=4.16), 'Aversion to new things'(M=3.68), 'Contradictory attitudes to creativity'(M=3.55) and 'Low evaluation for creativity'(M=3.30). This study aims to examine, analyze and categorize various relevant factors related to elementary gifted students' perceptions on bias against creativity. Implications of the study related to the present and future creative education were discussed in depth.
The endeavor to reveal reasons and backgrounds of juvenile's being delinquent has been continuing. Most of them, however, are not multi-dimensional and integrative, but one-dimensional which has had just focused on the factor of family or individual. One of the main purposes of this. study is to get implications on practical programs through the ecological-systematic analysis on factors and processes of juvenile delinquency. In this study, region has separated into two, one is of poor and the other is non, and then informations on factors and process of being delinquent were gathered by comparing between them. Eleven hundreds and sixteen cases were sampled from six junior-high schools which have met the purpose of this study. The survey had been committed with structured questionnaire which had been consisted in several variables; personal; familial; school and peer related; delinquent characteristics. Reliability and validity of each variables had been tested through pilot test. Effects of independent variables on dependent variables were analyzed according to the region through path analysis. In the analysis, remarkable differences on the processes of being delinquent had been found and three path models of being delinquent had been made on the basis of those differences. Each of them has shown different effecting patterns of personal, familial, and school and peer related variables on one's degree of delinquency. In Pattern 1, peer related variables have committed more powerful effects on the degree of delinquency than the others have. School related variables, in Pattern 2, commit most striking effects on the dependent variables. The degree of delinquency in Pattern 3 is most strongly effected by familial variables. The limitations that personal behavior oriented approach might be confronted in the field of juvenile delinquency have been proved by these results of this study. These results have given many implications to us on the needs of distinctive and integrative approaches to the problems of juvenile delinquency.
The latest active studies on distributed OLAP to adopt a distributed environment are mainly focused on DHT P2P OLAP and Grid OLAP. However, these approaches have its weak points, the P2P OLAP has limitations to multidimensional range queries in the cloud computing environment due to the nature of structured P2P. On the other hand, the Grid OLAP has no regard for adjacency and time series. It focused on its own sub set lookup algorithm. To overcome the above limits, this paper proposes an efficient central managed P2P approach for a cloud computing environment. When a multi-level hybrid P2P method is combined with an index load distribution scheme, the performance of a multi-dimensional range query is enhanced. The proposed scheme makes the OLAP query results of a user to be able to reused by other users' volatile cube search. For this purpose, this paper examines the combination of an aggregation cube hierarchy tree, a quad-tree, and an interval-tree as an efficient index structure. As a result, the proposed cloud P2P OLAP scheme can manage the adjacency and time series factor of an OLAP query. The performance of the proposed scheme is analyzed by a series of experiments to identify its various characteristics.
Journal of the Institute of Convergence Signal Processing
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v.19
no.1
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pp.7-13
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2018
In the current study, we proposed an optimized brain-computer interface (BCI) which employed blind source separation (BBS) approach to remove noises. Thus motor imagery (MI) signal and steady state visual evoked potential (SSVEP) signal were easily to be detected due to enhancement in signal-to-noise ratio (SNR). Moreover, a combination between MI and SSVEP which is typically can increase the number of commands being generated in the current BCI. To reduce the computational time as well as to bring the BCI closer to real-world applications, the current system utilizes a single-channel EEG signal. In addition, a convolutional neural network (CNN) was used as the multi-class classification model. We evaluated the performance in term of accuracy between a non-BBS+BCI and BBS+BCI. Results show that the accuracy of the BBS+BCI is achieved $16.15{\pm}5.12%$ higher than that in the non-BBS+BCI by using BBS than non-used on. Overall, the proposed BCI system demonstrate a feasibility to be applied for multi-dimensional control applications with a comparable accuracy.
Journal of the Korea Society of Computer and Information
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v.25
no.6
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pp.109-117
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2020
An edutainment system aims to help learners to recognize problems effectively, grasp and classify important information needed to solve the problems and convey the contents of what they have learned. Edutainment contents can be usefully applied to education and training in the both scientific and industrial areas. Our present work proposes an edutainment system that can be applied to a drug discovery process including virtual screening by using intuitive multi-modal interfaces. In this system, a stereoscopic monitor is used to make three-dimensional (3D) macro-molecular images, with supporting multi-modal interfaces to manipulate 3D models of molecular structures effectively. In this paper, our system can easily solve a docking simulation function, which is one of important virtual drug screening methods, by applying gaming factors. The level-up concept is implemented to realize a bio-game approach, in which the gaming factor depends on number of objects and users. The quality of the proposed system is evaluated with performance comparison in terms of a finishing time of a drug docking process to screen new inhibitors against target proteins of human immunodeficiency virus (HIV) in an e-drug discovery process.
Purpose - The aim of this study is to investigate the benefit-sharing activities. They affect contract renewal intention between franchisers and franchisees that are linked through a contract with the intention of building their relationship from the level based on dynamic trust. This study will show a new approach on qualitative growth and consolidation of competitive power and may well be able to suggest practical ways to strengthen directions in the field of franchise industries. Research design, data, and methodology - In this study, based on literature review, we separated logistical-supporting activities and non-logistical-supporting activities from benefit-sharing activities. We modeled how benefit-sharing activities influence contract renewal intention of franchisees by dynamic trust. In particular, considering the possibility of trading concepts and characteristics of trust between providers opportunistic behaviors was defined as variables, depending on the situation and dynamic characters reveal their relationship trust concept. That is, dynamic trust having the possibility of changing depending on opportunistic risks and interdependencies by Lewis & Weigert(1985, 2012) was classified into transitional-based trust, calculated based trust, relational-based trust and balance-based on trust. The total of 104 samples from domestic franchisees being with franchisees were collected by using a structural composed questionnaire. Results - The results are as following. Benefit-sharing activities in logistical supporting activities appeared to affect the multidimensional concept of transitional trust, calculated based on trust, relationship-based trust and balance based on trust dynamic trust with all-defined impact. Non-logistical supporting activities appeared to affect significantly the positive (+) to the dynamic trust concept except transitional trust. Lewis & Weigert(1985; 2012) have proposed a dynamic confidence calculated from relations within-based trust relationship based on trust appears to affect the significant positive (+) to the balance-based confidence transactions confidence mechanism of the system side in the verified relationship. Finally, a relationship based on trust and confidence in the balance based on the Influence of dynamic renewed confidence showed significantly affect the positive(+). In particular, the balance based trust showed the acts as a mediating factors between relational trust and confidence and renew calculated. Conclusion - From the above these results, the significance from this study is as following. First, the proposed activity is to share and validate the approach by identifying the potential in the relationship from the contract with building dynamic trust, and one of the ways from the franchise headquarters and affiliated merchants mutual growth through win-win cooperation in sharing activities. Next, the dynamic segmentation confidence to suggest the possibility can be broken down over the validity and reliability test for each concept. In addition, by identifying the relationship between the dynamic level of confidence granular multi-dimensional concept, to determine the level of trust with a dynamic relationship between risk and interdependencies can be possible in franchise industries. In order to maintain and develop their mutual relationship, franchise industries should propose confidence-building steps to promote their quality improvement.
R-trees are widely used in various areas such as geographical information systems, CAD systems and spatial databases in order to efficiently index multi-dimensional data. As data sets used in these areas grow in size and complexity, however, range query operations on R-tree are needed to be further faster to meet the area-specific constraints. To address this problem, there have been various research efforts to develop strategies for acceleration query processing on R-tree by using the buffer mechanism or parallelizing the query processing on R-tree through multiple disks and processors. As a part of the strategies, approaches which parallelize query processing on R-tree through Graphics Processor Units(GPUs) have been explored. The use of GPUs may guarantee improved performances resulting from faster calculations and reduced disk accesses but may cause additional overhead costs caused by high memory access latencies and low data exchange rate between GPUs and the CPU. In this paper, to address the overhead problems and to adapt GPUs efficiently, we propose a novel approach which uses a GPU as a buffer to parallelize query processing on R-tree. The use of buffer algorithm can give improved performance by reducing the number of disk access and maximizing coalesced memory access resulting in minimizing GPU memory access latencies. Through the extensive performance studies, we observed that the proposed approach achieved up to 5 times higher query performance than the original CPU-based R-trees.
This paper is to study techniques of a virtual reality to maximize the depth of the users' immersion based on differentiated interactive contents using korean traditional fairy tale. In order to increase more interests in korean traditional fairy tale, we produce a interactive 3D contents and propose a new approach to a system designing applying a virtual realities such as HMD, Leap motion. First, using Korean traditional fairy tale, we generate interactive contents consisting of scenes intensifying user's tensions while interaction of game process. Based on the interactive contents generated, we design scene generation using Oculus HMD, the gaze based input processes and a hand interface using Leap motion, in order to provide a multi dimensional scene transmission and an input process method to intensify the sense of the reality. We will verify through diverse tests whether the proposed virtual reality contents based on a technique of an input process will actually intensify the immersion in the virtual reality or not while minimizing the motion sickness of the users.
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