• Journal of Computing Science and Engineering
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• 제6권1호
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• pp.12-25
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• 2012

For real-time systems it is important to obtain the accurate worst-case execution time (WCET). Furthermore, how to improve the WCET of applications that run on multicore processors is both significant and challenging as the WCET can be largely affected by the possible inter-core interferences in shared resources such as the shared L2 cache. In order to solve this problem, we propose an innovative approach that adopts a code positioning method to reduce the inter-core L2 cache interferences between the different real-time threads that adaptively run in a multi-core processor by using different strategies. The worst-case-oriented strategy is designed to decrease the worst-case WCET among these threads to as low as possible. The other two strategies aim at reducing the WCET of each thread to almost equal percentage or amount. Our experiments indicate that the proposed multicore-aware code positioning approaches, not only improve the worst-case performance of the real-time threads but also make good tradeoffs between efficiency and fairness for threads that run on multicore platforms.

• The Journal of Asian Finance, Economics and Business
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• 제5권4호
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• pp.117-125
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• 2018

As various types of information technology systems are becoming more pervasive than ever, many studies have evaluated the systems from the user perspective. Some of them have used surveys to measure consumers' cognitive responses to the target technology. However, this method may cause problems if the survey participants do not have a useful frame of reference for evaluating an unfamiliar system. To examine this issue, the current study empirically tested the effect of personal product knowledge on the predictability of a behavioral model, such as Technology Acceptance Model. A series of measurement invariance tests as well as multi-group comparison tests were conducted for rigorous examination of the data. Our analysis showed that the variance of attitude that is explained by the two believes (perceived usefulness and ease of use) was relatively small when the survey respondents had lower amount of product knowledge. Moreover, the group had weaker causal relationship between attitude and intention to use the technology, hindering the predictability of the research model. The results indicated that respondents should have a certain amount of knowledge of the target system in order to form accurate beliefs and behavioral decisions. The findings of this study provide important implications on sampling strategies for researchers with new technology.

• 대한안전경영과학회지
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• 제19권3호
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• pp.137-150
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• 2017

Logistic enterprises want to be competitive enterprises in fierce logistic market and worry about the securement of discriminative competitiveness for it. The standards for the judgement of logistic industry's maintenance of competitiveness are not only economic feasibility of logistic costs but also the satisfaction of users because well-established service system for variety and enhancement of logistic needs. Some of the quality attributes sufficiently satisfy expectation of customers, but not guarantee high-quality satisfaction. Therefore, it's difficult to grasp quality attributes with the existing approach of perceived service quality. Quality attribute model suggested by Kano is widely used as the concept is accurate, there is high possibility to be used at the stage of product/service planning, and it can be easily applied. Kano model has a limitation that quality attributes are classified with mode and the differences between strong property of the quality attribute and week property in quality attributes were ignored. Therefore, Timko calculated customer satisfaction coefficient with the result of Kano's survey and effects of customer satisfaction and unsatisfaction through relations between satisfaction coefficient and unsatisfaction coefficient. The purposes of this study are to use ASC, the average of satisfaction coefficient and unsatisfaction, as the satisfaction of quality characteristics, decide the importance of quality characteristics with TOPSIS, a representative multi-standard decision-making method, and calculate strategy improvement propriety of logistic service quality.

• 보건교육건강증진학회지
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• 제31권5호
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• pp.135-146
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• 2014

Objectives: This study performed to enhance the competency of health education specialist on population-based program to prevent chronic disease in public health organizations. In addition, it will provide the basic data to enhance specialized competency for health education specialist. Method: The current operating strategy and demanded competency related to chronic disease programs were analyzed by reviewing the Korean Health Plan 2020, the guideline of integrated health promotion programs, and the job description of health education specialist. Results: Preventive programs for chronic disease provide with healthy lifestyle programs in integrated health promotion service. First, health education specialist should learn to professional knowledge on health risk factor and chronic disease. Second, they should cultivate the integrated competency to manage operations on obesity, hypertension, diabetes, cardiovascular disease, and cancer prevention programs. Third, they get strengthened the-job training to implement health education, public relations, campaigns, media advocacy, and utilization of multi-media. Conclusion: It should implement the preventive programs for chronic disease in various health promotion services through coordination with multiple sectors. To identify of the job in preventive program for that, it would be required empowerment of health education specialists on disease prevention science and practical life skill.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권10호
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• pp.4681-4702
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• 2016

Recently, Massive energy consumption in Cloud Storage System has attracted great attention both in industry and research community. However, most of the solutions utilize single method to reduce the energy consumption only in one aspect. This paper proposed an energy effective gear-shifting mechanism (E2GSM) in Cloud Storage System to save energy consumption from multi-aspects. E2GSM is established on data classification mechanism and data replication management strategy. Data is classified according to its properties and then be placed into the corresponding zones through the data classification mechanism. Data replication management strategies determine the minimum replica number through a mathematical model and make decision on replica placement. Based on the above data classification mechanism and replica management strategies, the energy effective gear-shifting mechanism (E2GSM) can automatically gear-shifting among the nodes. Mathematical analytical model certificates our proposed E2GSM is energy effective. Simulation experiments based on Gridsim show that the proposed gear-shifting mechanism is cost effective. Compared to the other energy-saved mechanism, our E2GSM can save energy consumption substantially at the slight expense of performance loss while meeting the QoS of user.

• 유통과학연구
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• 제19권12호
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• pp.103-114
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• 2021

Purpose: This study was conducted with the goal of increasing research interest in H&B stores as a new distribution channel to identify factors influencing the revitalization of the H&B stores in Korea in distribution channels, in detail, the relationships among perceived values, satisfaction, trust, and loyalty. Research design, data and methodology: With 499 respondents, this study used exploratory factor analysis and reliability analysis to verify the reliability and validity of measured variables. Multiple regression was employed as a statistical method for the hypotheses of the study. Results: According to the results of the analysis, H&B stores are targeted by female customers in their 20s and 30s. The findings showed that four perceived values affect store satisfaction and trust. Store satisfaction and trust have positive effects on loyalty. Comparing the two variables, store satisfaction had a slightly stronger effect on loyalty than on trust. Conclusions: This study identified the store’s diverse values for the revitalization of the H&B stores need to provide to customers. The stores need to form facilities that can enhance the value of shops perceived by customers, and to establish distribution strategies that can further increase store satisfaction, trust, and loyalty to expand trading areas as multi-brand shops.

• International Journal of Computer Science & Network Security
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• 제21권12호
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• pp.65-74
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• 2021

Digital image processing and retrieving have increasingly become very popular on the Internet and getting more attention from various multimedia fields. That results in additional privacy requirements placed on efficient image matching techniques in various applications. Hence, several searching methods have been developed when confidential images are used in image matching between pairs of security agencies, most of these search methods either limited by its cost or precision. This study proposes a secure and efficient method that preserves image privacy and confidentially between two communicating parties. To retrieve an image, feature vector is extracted from the given query image, and then the similarities with the stored database images features vector are calculated to retrieve the matched images based on an indexing scheme and matching strategy. We used a secure content-based image retrieval features detector algorithm called Speeded-Up Robust Features (SURF) algorithm over public cloud to extract the features and the Honey Encryption algorithm. The purpose of using the encrypted images database is to provide an accurate searching through encrypted documents without needing decryption. Progress in this area helps protect the privacy of sensitive data stored on the cloud. The experimental results (conducted on a well-known image-set) show that the performance of the proposed methodology achieved a noticeable enhancement level in terms of precision, recall, F-Measure, and execution time.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권1호
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• pp.305-326
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• 2019

Discriminative correlation filter (DCF) based tracking algorithms have recently shown impressive performance on benchmark datasets. However, amount of recent researches are vulnerable to heavy occlusions, irregular deformations and so on. In this paper, we intend to solve these problems and handle the contradiction between accuracy and real-time in the framework of tracking-by-detection. Firstly, we propose an innovative strategy to combine the template and color-based models instead of a simple linear superposition and rely on the strengths of both to promote the accuracy. Secondly, to enhance the discriminative power of the learned template model, the spatial regularization is introduced in the learning stage to penalize the objective boundary information corresponding to features in the background. Thirdly, we utilize a discriminative multi-scale estimate method to solve the problem of scale variations. Finally, we research strategies to limit the computational complexity of our tracker. Abundant experiments demonstrate that our tracker performs superiorly against several advanced algorithms on both the OTB2013 and OTB2015 datasets while maintaining the high frame rates.

• 한국컴퓨터정보학회논문지
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• 제23권11호
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• pp.193-201
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• 2018

In this paper, we extracted relevant patent data and conducted statistical analysis to understand the technical development trend related to Wireless Power Transfer (WPT) for Light Rail Transit (LRT). Recently, with the development of WPT technologies, the Light Rail Transit (LRT) industry is concentrating on applying WPT to the power supply system of trains because of their advantages compared wired counterpart, such as low maintenance cost and high stability. This technology is divided into three areas: wireless feeding and collecting technology, high-frequency power converter technology and orbital and infrastructure technology. From each specific area, key words in patent document were extracted by TF-IDF method and analyzed by social network. In the keyword network, core word of each specific technology were extracted according to their degree centrality. Then, the multi-word phrases were also built to represent the concept of core technologies. Finally, based on the analysis results, the development strategies for each specifics technical area of WPT in LRT filed will be provided.

• 대한건축학회논문집:계획계
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• 제35권7호
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• pp.127-137
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• 2019

In South Korea, the cafes utilizing idle industrial facilities have become popular recently. The purpose of this study is to understand the causes of these social phenomena and to examine the spatial characteristics of cafes regenerated from idle industrial facilities. For the study method, this study first looked at the unique spatial characteristics of Korean cafes and the cause of the increase in the number of cafes regenerated in South Korea. And then it looked at five cases where factories and warehouses built during the industrialization period (1900s~1970s) of South Korea were regenerated as cafes after 2015. Finally, this study was examined the regenerative characteristics that could be transformed from idle industrial facilities into cafes by the type analysis such as the background of the times and the strategy of regeneration. The results showed that three spatial characteristics(large single, multi-functional and emotional) preferred in South Korean cafes appeared in cafes regenerated from idle industrial facilities.