• Journal of Broadcast Engineering
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• v.17 no.1
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• pp.73-80
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• 2012

Recently, medical equipments are developed and used for diagnosis or studies. In addition, demand of techniques which automatically deal with three dimensional medical images obtained from the medical equipments is growing. One of the techniques is automatic bone segmentation which is expected to enhance the diagnosis efficiency of osteoporosis, fracture, and other bone diseases. Although various researches have been proposed to solve it, they are unable to be used in practice since a size of the medical data is large and there are many low contrast boundaries with other tissues. In this paper, we present a fast and accurate automatic framework for bone segmentation based on multi-resolutions. On a low resolution step, a position of the bone is roughly detected using constrained branch and mincut which find the optimal template from the training set. Then, the segmentation and the registration are iteratively conducted on the multiple resolutions. To evaluate the performance of the proposed method, we make an experiment with femur and tibia from 50 test knee magnetic resonance images using 100 training set. The proposed method outperformed the constrained branch and mincut in aspect of segmentation accuracy and implementation time.

• KIPS Transactions on Software and Data Engineering
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• v.1 no.1
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• pp.19-30
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• 2012

The context aware service is the service to provide useful information to the users by recognizing surroundings around people who receive the service via computer based on computing and communication, and by conducting self-decision. But CAS(Context Awareness System) shows the weak point of small-scale context awareness processing capacity due to restricted mobile function under the current mobile environment, memory space, and inference cost increment. In this paper, we propose a mobile cloud context system with using Google App Engine based on PaaS(Platform as a Service) in order to get context service in various mobile devices without any subordination to any specific platform. Inference design method of the proposed system makes use of knowledge-based framework with semantic inference that is presented by SWRL rule and OWL ontology and Jess with rule-based inference engine. As well as, it is intended to shorten the context service reasoning time with mapping the regular reasoning of SWRL to Jess reasoning engine by connecting the values such as Class, Property and Individual which are regular information in the form of SWRL to Jess reasoning engine via JessTab plug-in in order to overcome the demerit of queries reasoning method of SparQL in semantic search which is a previous reasoning method.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2012.10a
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• pp.119-120
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• 2012

The International Hydrographic Organization (IHO) developed S-100 standards as a framework for a variety of data and service for hydrography and a standard research is in process, including a next-generation electronic chart standard, for products and services based on this.The need for standard storage and utilization of navigation routes generated by ECDIS and navigation system using navigation planning features has emerged and a standard research based on S-100 standard has been performed. Route information standard is needed for interoperability among route information generated by a variety of navigation system and requires an examination for the possibility of applicability. In this research, route generation tools and standard-based generation and result of route information using these tools in order to examine the application of route information standards have been executed.In details, first, as a module capable of generating route information, a module that can store values in memory based on route information standards of S-100, second, a module that can store route information in the memory in XML form, third, it includes loading module for route information stored as XML.In this research, we verified normal generation of route information, storage of generated route information and loading functions through developing three modules.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.2
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• pp.113-118
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• 2013

The current GPU virtualization techniques incur large overheads when executing application programs mainly due to the fine-grain time-sharing scheduling of the GPU among multiple Virtual Machines (VMs). Besides, the current techniques lack of portability, because they include the APIs for the GPU computations in the VM monitor. In this paper, we propose a low overhead and high performance GPU virtualization approach on a heterogeneous HPC system based on the open-source Xen. Our proposed techniques are tailored to the bio applications. In our virtualization framework, we allow a VM to solely occupy a GPU once the VM is assigned a GPU instead of relying on the time-sharing the GPU. This improves the performance of the applications and the utilization of the GPUs. Our techniques also allow a direct pass-through to the GPU by using the IOMMU virtualization features embedded in the hardware for the high portability. Experimental studies using microbiology genome analysis applications show that our proposed techniques based on the direct pass-through significantly reduce the overheads compared with the previous Domain0 based approaches. Furthermore, our approach closely matches the performance for the applications to the bare machine or rather improves the performance.

• International Journal of Highway Engineering
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• v.12 no.3
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• pp.87-92
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• 2010

As the Concept "how environmental friendly" becomes more and more important in road construction. However, so far there is no estimation method. Environmental friendly concept can be incorporated at the plan level in order to influence decision making, and support policies that affect environment. The overall goal of this study was to develop environmental friendly concept measures for the national highway and to develop a methodology to implement a more environmental friendly concept. The research identified 8 performance measures through a project analysis that could address environmental impact assessment system's ten strategic goals - Topography, Wildlife, hydrology, landuse, air quality, water quality, soil, waste, noise, landscape. The qualitatively and quantitatively evaluation approach was selected as the decision support framework and performance measure were investigated using the AHP(Analytic Hierarchy Process) and pilot corridor for a 10 section and calculate the index values. The methodology was applied to a pilot corridor comprised of a 120km section of national highway in korea. The methodology made it possible to identify the specific performance measures that need improvement to enhance the overall environmental friendly concept. It is fairly intuitive, based on readily available data, and is easy to apply. It provides a powerful tool for government to assess the relative environmental friendly conceptof their transportation corridors now and in the future. It allows for comparisons within a corridor and with other corridors and identifies the improvements needed to enhance the environmental friendly concept.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.345-356
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• 2016

The purpose of this study was to develop a scale to evaluate the safety competency of perioperative nurses and to examine its validity and reliability. The research process included the development of preliminary items through literature reviews and the construct validity examination of the conceptual framework for the preliminary scale. The content validity of the identified items was evaluated by experts, resulting in 30 preliminary items. The participants involved in testing the validity and reliability of the preliminary scale were 377 perioperative nurses. The data were analyzed using exploratory factor analysis, parallel analysis, confirmatory factor analysis, and internal consistency. To verify the construction factor of the preliminary scale, exploratory factor analysis and parallel analysis were performed, resulting in 3 factors and 27 items. The internal structure of the scale was schematized using confirmatory factor analysis and the goodness of fit of the final research model was very appropriate, as shown by the values of TLI=.90, CFI=.91, RMSEA=.07, and SRMR=.07. The final scale consisted of 27 items and 3 factors including knowledge (6 items), skill (13 items), and attitude (8 items). Cronbach' ${\alpha}$ for the final scale was .94, showing good internal consistency. This safety competency scale can be used for assessing the competency of perioperative nurses regarding patient safety, for developing patient safety studies and for the career development of perioperative nurses.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.5
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• pp.427-435
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• 2005

With the accumulation of protein and its related data on the Internet, many domain based computational techniques to predict protein interactions have been developed. However, most of the techniques still have many limitations to be used in real fields. They usually suffer from a low accuracy problem in prediction and do not provide any interaction possibility ranking method for multiple protein pairs. In this paper, we reevaluate a domain combination based protein interaction prediction method and develop an interaction possibility ranking method for multiple protein pairs. Probability equations are devised and proposed in the framework of domain combination based protein interaction prediction method. Using the ranking method, one can discern which protein pair is more probable to interact with each other than other protein pairs in multiple protein pairs. In the validation of the ranking method, we revealed that there exist some correlations between the interacting probability and the precision of the prediction in case of the protein pair group having the matching PIP(Primary Interaction Probability) values in the interacting or non interacting PIP distributions.

• Journal of Distribution Science
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• v.14 no.4
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• pp.55-66
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• 2016

Purpose - This article aims to explore the characteristics of disaster risk distribution information in China. Also, this research attempts to analyze the findings of risk communication using case study in chronological order in terms of social amplification of risk. To achieve the purpose, the paper reviews the trends and issues of risk communication in China, with an emphasis on examining earthquakes by a chronological approach. In these regards, we hope that some relevant findings from this empirical study with cases will be able to enhance national risk communication and provide implications in Korea as well. Research design, data, and methodology - The conceptual framework of this study is theoretically based on the risk amplification model, which describes signals about risk transmitted and processed by individuals and social groups. The social amplification of risk also reflects the interactions of social groups about disaster-related risk issues, which are potential amplifiers or attenuators of communication signals. The key concept of social amplification implies that the risks pertaining to natural disasters interact with social, psychological, institutional, and cultural processes in ways that can affect public perceptions of risk. SMCRE Model is methodologically employed to examine risk communication history of China with the focus on natural disaster. Four earthquakes are selected to figure out the chronological characteristics of risk communication since 1970s. He bei Tang Shan earthquake is selected as an example disaster before 1990's, while the earthquake in Yun Nan Jiang is explored for the case study of 1990's. The earthquake in Si Chuan Wen Chuan is also examined as a example disaster of 2000's. The recent earthquake in Si Chuan Ya An Lu Shan is selected as a case of 2010s. Results - SMCRE model in this case study is operationally defined as a methodology and applied to the four earthquakes occurred in China. SMCRE model describes the exchange of risk information and is also applied to all forms of communication between stake holders. Each factor of risk communication includes source, message, channel, receiver and effect. It is notable that a big progress has been made on disaster risk communication in China for the past 40 years. We also found that highly developed information technology has enabled Chinese society to better cope with natural disaster, leading to enhanced disaster risk communication. It is mainly found from case study that the disaster risk communication of China has been involved with political situation, which derived from the change of government for the past 40 years. Conclusion - From this historical research, it can be inferred that the policies and politics of Chinese leaders have had a more critical role to play in the process of source of risk communication than those of any other countries. The results of this paper also support that the effective risk communication involves not only the improved reliability of local government as a key factor of disaster risk communication, but also is accompanied by international cooperation for substantial collaboration with stake holders.

• Journal of Distribution Research
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• v.15 no.4
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• pp.21-60
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• 2010

In recent retail environments, multichannel customer management increasingly has been considered a key element of successful CRM. Although customer's multichannel usage is believed to be potential cause of customer loyalty, the theoretical explanation about this causal relationship still remains unexamined and unanswered. In this paper, the authors present a systematic framework to test the postulated "multichannel usage-shopping experience-customer satisfaction" chain. To this end, we examine that the two core components of shopping experience(convenience and enjoyment) is a mediator of the direct causality of multichannel usage(based on both information search and product purchase stage) on customer satisfaction. Moreover, the authors examine that two types of customer-firm relationship characteristics(relationship age and purchase frequency) is a moderator of the multichannel usage-shopping experience relationship. Using integrating data with survey and customer database of multichannel retail company, the authors empirically test and substantiate shopping experience's mediating role in the multichannel usage-customer satisfaction relationship and customer-firm relationship characteristics' moderating role in the multichannel usage-customer experience relationship. These results suggest that multichannel retailers should deliver favorable shopping experience for building customer satisfaction and differentiate shopping experience according to customer-firm relationship characteristics.

• The Journal of Industrial Distribution & Business
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• v.10 no.10
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• pp.67-79
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• 2019

Purpose - The purpose of this study was to explore the model that supports the recipient country by using the ODA (Official Development Assistance) project and at the same time fits the global start-up/employment support of donor country with CSV business model. Specifically, we wanted to examine the feasibility of the project based on the existing ODA projects. Research design, data, and methodology - As the methodology, case studies and interview were conducted as well as literature studies. The case analysis is based on a press release of the entire KOICA's ODA project, which has been implemented for one year, based on 2017. After consideration, the actual results and future feasibility were analyzed. The interviews were conducted on senior Korean officials and Indian officials involved in Vietnam's ODA project. Results - As a result, some of the project cases applied and analyzed according to the model of this study were judged to be highly potential. Based on the results of this analysis, as the model derived from this study pursues, the global business model is developed under the CSV (Creating Shared Value) strategy through ODA projects to support recipient countries and global start-up/employment support of donor country. The possibility of simultaneously pursuing this model based on CSV business model was also confirmed. Conclusions - In the past, free aid agencies like KOICA focused solely on supporting recipient countries, but in terms of sustainability, they could discover the potential of supporting the global start-up/employment of the donor country using CSV business model in ODA project. In this study, we tried to find the theoretical background and potential possibilities in some ODA projects based on CSV business model. As a result of the analysis of KOICA ODA projects in 2017 and interviews, some ODA projects could be used to improve the economic development of the recipient country as well as the global start-up/employment of the donor country. Therefore, it is necessary for the ministries of the government to promote ODA projects to understand the framework that achieves these two objectives simultaneously and to promote ODA projects based on various strategic considerations.