• Korean Journal of Food Science and Technology
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• v.34 no.4
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• pp.719-724
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• 2002

Fresh bamboo was charred in the mechanical steel kiln and traditional earth kiln, and then its smoke was condensed to produce bamboo smoke distillates (BSD). BSD made by mechanical steel kiln (MBSD) was purified by distillation. There is significant difference (p<0.05) in total phenol content among them, 663.40 ppm in MBSD, 571.62 ppm in PMBSD, and 485.16 ppm in TBSD. The nitrite scavenging activity and electron donation ability of BSDs were measured and the content of total phenol content was determined. The nitrite scavenging activity of BSD increased with increasing concentration of BSD at the same pH and decreased with increasing pH. There is significant difference (p<0.05) in nitrite scavenging activity among MBSD, purified MBSD (PMBSD), and BSD made by traditional earth kiln (TBSD) and the activity was the highest in MBSD and the lowest in TBSD. The electron donationg ability of BSDs increased with increasing the concentration of BSD and the reaction time. There is significant difference in the electron donation ability of BSDs at the same period and different concentration among the BSDs, the highest in MBSD and the lowest in TBSD.

• Journal of the Korean Society for Precision Engineering
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• v.30 no.2
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• pp.164-170
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• 2013

The latest vehicle yields a superior safety and reduction of driving burden by monitoring the driving state of vehicle and its environment with various sensors. To detect other vehicles and objects of the rear left and right-side blind spot area of driver, provide the information about a existence of objects inside the blind spot, and give a signal to avoid collision, this study proposes the intelligent outside rear-view mirror system. This study proposes SILS system with PreScan and Matlab/Simulink to verify practical applicability of developed BSDS. PreScan yields realistic driving environments and road conditions and vehicle model dynamics and collision warning is controlled by Matlab/Simulink.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.27-28
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• 2012

• Journal of Oriental Neuropsychiatry
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• v.24 no.4
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• pp.363-372
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• 2013

Objectives: The purpose of this study is to investigate the usefulness of psychological measurements in depression symptoms as compared with non-depressions and hwabyung. Methods: A total of 21 patients, who were diagnosed with depression and hwabyung, were evaluated by using the SCL-90-R, BDI, STAI, STAXI, ISI, HRSD, 20-Item Alexithymia Scale, BSDS and NEO-PI. Thereafter, they were statistically analyzed. Results: 1) In the results of SCL-90-R, the PST score group of hwa-byung group without depression was significantly higher when compared to the score from the depression group without hwa-byung. 2) In the results of NEO-PI, the NEO-PI-O score of hwa-byung group without depression was significantly higher when compared to the score from the depression group without hwa-byung. 3) In the results of 20-Item Alexithymia Scale, the total score and score of difficulty for identifying feelings scale from the depression group was significantly higher when compared to the score of non depression group. Conclusions: The results found are expected to serve as a useful resource for future studies when developing the instruments of oriental medical evaluations for hwa-byung.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.9
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• pp.1049-1059
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• 2019

We propose a learning-based image segmentation algorithm. Starting from super-pixels, our method learns the probability of merging two regions based on the ground truth made by humans. The learned information is used in determining whether the two regions should be merged or not in a segmentation stage. Unlike exiting learning-based algorithms, we use both local and object information. The local information represents features computed from super-pixels and the object information represent high level information available only in the learning process. The object information is considered as privileged information, and we can use a framework that utilize the privileged information such as SVM+. In experiments on the Berkeley Segmentation Dataset and Benchmark (BSDS 500) and PASCAL Visual Object Classes Challenge (VOC 2012) data set, out model exhibited the best performance with a relatively small training data set and also showed competitive results with a sufficiently large training data set.

• Journal of Information Technology Applications and Management
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• v.15 no.3
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• pp.243-259
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• 2008

To support business services interoperation, the BSD (Business Service Document), which is an extension of the Web Service Description Language (WSDL) the web service specification of the World Wide Web Consortium (W3C) was designed. The WSDL presents comprehensive standards for the interoperability of software components and W3C delegates extensions of WSDL to the users for their own purposes and objectives. In this article, BSD Creator, which can generate well-formed and valid BSDs, was designed and implemented. Also, the BSD Operation Pilot System where service providers can publish BSD specification documents and service users can search for services, was implemented and presented. BSD Creator and the BSD Operation Pilot System, which are the outcomes of this study, were assessed for their quality and usefulness using ISO/IEC 9126. The outcomes of this paper will be the basis on which industry groups can construct a Business Services Interoperation System, and are expected to contribute to the revitalization of business service interoperation.

• ETRI Journal
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• v.35 no.2
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• pp.207-217
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• 2013

This paper introduces the modular cellular neural network (CNN), which is a new CNN structure constructed from nine one-layer modules with intercellular interactions between different modules. The new network is suitable for implementing many image processing operations. Inputting an image into the modules results in nine outputs. The topographic characteristic of the cell interactions allows the outputs to introduce new properties for image processing tasks. The stability of the system is proven and the performance is evaluated in several image processing applications. Experiment results on texture segmentation show the power of the proposed structure. The performance of the structure in a real edge detection application using the Berkeley dataset BSDS300 is also evaluated.

• Journal of Korean Society of Transportation
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• v.32 no.4
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• pp.293-302
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• 2014

Recently, advanced sensors and communication technologies have been widely applied to advanced safety vehicles for reducing traffic accidents and injury severity. To apply the advanced safety vehicle technologies, it is important to quantify safety benefits, which is a fundamental for justifying application. This study proposed a methodology for quantifying the effectiveness of the Advanced Driver Assistant System (ADAS) with the Analytic Hierarchy Process (AHP). When the proposed methodology is applied to 2008-2010 Gyeonggi-province crash data, ADAS would reduce about 10.18% of crashes. In addition, Adaptive Cruise Control, Automatic Emergency Braking System, Lane Departure Warning System and Blind Spot Detection System are expected to reduce about 10.43%, 10.17%, 9.96%, and 10.18%, respectively. The outcomes of this study might support decision making for developing not only vehicular technologies but also relevant safety policies.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.1
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• pp.1-17
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• 2008

Recently, the object based storage devices systems(OSDs) have been actively researched. They are different from existing block based storage systems(BSDs) in terms of the storage unit. The storage unit of the OSDs is an object that includes the access methods, the attributes of data, the security information, and so on. The object has no size limit and no influence on the internal storage structures. Therefore, the OSDs improve the I/O throughput and the scalability. But the backup systems for the OSDs still use the existing backup techniques for the BSDs. As a result, they need much backup time and do not utilize the characteristics of the OSDs. In this paper, we design and implement a new object based backup system that utilizes the features of the OSDs. Our backup system significantly improves the backup time over existing backup systems because the raw objects are directly transferred to the backup devices in our system. It also restores the backup data much faster than the existing systems when system failures occur. In addition, it supports various types of backup and restore requests.

• Korean Journal of Psychosomatic Medicine
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• v.23 no.2
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• pp.107-113
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• 2015

Objectives : The aim of this study was to investigate the factors including possibility of bipolar disorder that are related to intensity of suicidal idea. Methods : The study subjects consisted of 50 patients who did suicidal attempt and treated at the Inje University Haeundae Paik Hospital Emergency Room. All participants underwent psychiatric interview and underwent Columbia Suicide Severity Rating Scale(C-SSRS), Beck Depression Inventory(BDI), Korean Version of Mood Disorder Questionnaire(MDQ) and Bipolar Spectrum Diagnostic Scale(BSDS) to evaluate patient's suicide attempt, severity of depression and possibility of bipolar disorder. Results : Compared to non-high risk group, suicide high risk group showed significantly higher BDI(p<0.001) and intensity of ideation(IOI) in C-SSRS(p<0.001). Also intensity of ideation(IOI) was correlated with Mood Disorder Questionnaire(MDQ) bipolarity positive(p=0.033). Conclusions : The present study indicated that possibility of bipolar disorder plays a significant role in suicide attempters. Assessment of suicide ideation severity and possibility of bipolar disorder should be considered when suicide attempters come to emergency room.