• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.1C
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• pp.1-7
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• 2012

At the industrial work site, the manufacturing process is being automated to improve work efficiency. However, it is often difficult to automate the entire manufacturing process, and there are spaces in which workers there are constantly exposed to danger. To protect such workers from the danger, this paper studied a worker safety management system for the industrial work site which uses a location recognition system and which is based on the Ubiquitous-Wireless Sensor Network (U-WSN). Using wireless signals, the distance between two devices can be measured and the location of a worker can be calculated using triangularization in 3-D. But at the industrial work sites where there are a lot of steel and structures, errors occur due to signal reflection and multi-path, etc., which makes it difficult to get the accurate location. To address this problem the following was done: first, a circular polarization patch antenna appropriate to the work site was used to reduce the degree of error that may occur from the antenna emission pattern and the particular Line of Sight (LOS); second, a 3-D localization technique and a filtering algorithm were used to improve the accuracy of location determination. The developed system was tested by using it on a wharf crane to validate its accuracy and effectiveness. The proposed location recognition system is expected to contribute greatly in ensuring the safety of workers at industrial work sites.

• Korean Journal of Construction Engineering and Management
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• v.22 no.1
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• pp.3-12
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• 2021

In the remodeling projects, clients without architectural expertise have limitations in presenting requirements accurately. In some cases, designers and contractors may not recognize their demands exactly, and deliver final products that are different from the clients' intentions. 3D modeling visualizing final products in previous has been regarded as a solution to enhance understanding and communication. However, this approach has the limitation that the final results are presented as a virtual outputs. In the remodeling project, an alternative, mixed-reality, is likely to reinforce the reality as it enables to present remain structure and the parts to be built together. This paper examines the mixed reality as a solution to support decision making of clients and practitioners in remodeling projects. The examinations is conducted in high-rise office remodeling projects by means of action-research. Clients and practitioners, overview product models presented in the format of 2D drawings, BIM and mixed reality asked to evaluate the effectiveness of each methods in 12 standards. The results have shown that mixed reality has improved the sense of reality, making it easier to predict results, but recognizing patterns is difficult in some areas such as the floor, and it caused dizziness.

• Korean Journal of Environmental Biology
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• v.37 no.4
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• pp.508-525
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• 2019

Algific talus slopes provide microclimates suitable for disjunct or relict populations of northern plant species at low elevation habitats in the temperate zones. The propose of this study was to assess the phytogeographical significance and produce a strategy for the comprehensive conservation of the vegetation on algific talus slopes. Therefore, we studied the floristics of bryophytes on 15 algific talus slopes in Korea. The bryophytes on the algific talus slopes in Korea consisted of 59 families, 138 genera, 226 species, two subspecies, and five varieties, totaling 233 taxa. Peculiarly, many northern bryophytes, such as Andreaea rupestris var. fauriei (Besch.) Takaki., Buxbaumia minakatae S. Okamura, Racomitrium lanuginosum (Hedw.) Brid., Hylocomium splendens (Hedw.) Schimp., and Pleurozium schreberi (Willd. ex Brid.) Mitt. were found on the algific talus slopes. Of them, unrecorded species from south Korea numbered 14 taxa and unrecorded species from the Korean peninsula numbered seven taxa. A similarity analysis based on the bryophyte flora showed that the index of similarity between regions with similar environmental factors was high. This means that the bryophyte flora composition on each algific talus slopes was affected by topography and microclimate. Algific talus slopes are phytogeographically significant microhabitats where northern plant species that advanced southward during the latest glacial age have been isolated and adapted. However, algific talus slopes have constantly been destroyed or damaged by humans without consideration of conservation. Conservation strategies to ensure the biodiversity and effective management of algific talus slopes in Korea are discussed in detail.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.2
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• pp.113-121
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• 2012

In this paper, we proposed fast and efficient algorithm for detecting near-duplication based on content based retrieval in large scale video database. For handling large amounts of video easily, we split the video into small segment using scene change detection. In case of video services and copyright related business models, it is need to technology that detect near-duplicates, that longer matched video than to search video containing short part or a frame of original. To detect near-duplicate video, we proposed motion distribution and frame descriptor in a video segment. The motion distribution descriptor is constructed by obtaining motion vector from macro blocks during the video decoding process. When matching between descriptors, we use the motion distribution descriptor as filtering to improving matching speed. However, motion distribution has low discriminability. To improve discrimination, we decide to identification using frame descriptor extracted from selected representative frames within a scene segmentation. The proposed algorithm shows high success rate and low false alarm rate. In addition, the matching speed of this descriptor is very fast, we confirm this algorithm can be useful to practical application.

• Proceedings of the KSCN Conference
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• 2003.11a
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• pp.1083-1084
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• 2003

사회생활 양식이 점차 복잡해지고 생활전반의 조직이 고도화됨에 따라 대규모 급식의 필요성이 점점 증가되고 있다. 그 동안 단체급식은 자체적으로 운영하는 경우가 많았으나, 최근 들어 위탁운영의 효율성에 대한 인식이 높아짐에 따라 위탁 운영률이 크게 높아지고 있다. 현재까지 대학급식에 관한 연구는 대학식당의 이용실태, 대학 식단의 만족도 평가, 대학급식 메뉴 관리 및 운영 등을 조사한 연구는 많았으나 운영형태에 따른 식단 분석 연구는 미흡한 실정이다. 이에 본 연구에는 서울 시내 일부 대학교의 구내에 있는 5개 식당 23가지 식단에 대하여 직영급식과 위탁급식으로 나누어 학생들에게 제공되는 메뉴를 영양가면과 다양성 면에서 평가하고, 제공된 메뉴를 학생들이 실제 섭취하는 실태를 조사하여 섭취한 식단의 영양가와 음식의 종류를 분석하였다. 본 조사에서 이용한 식단은 총 23가지였고, 그 중에서 직영급식 13가지, 위탁급식 10가지였다. 제공된 상용식단형태는 직영급식은$\ulcorner$밥+국+반찬2+김치1$\lrcorner$, 위탁급식은 $\ulcorner$한그릇+국+반찬1+김치1$\lrcorner$이었으며, 우리나라 전통의 기본패턴을 갖추고 있었다. 제공된 식단 중 한끼 영양소 함량을 평가해본 결과 여자의 경우 1/3 영양권장량을 제공하였으나, 남자의 경우는 부족하였다. 제공되는 식단의 음식군별 제공열량을 살펴보면 밥은 평균 399㎉, 한그릇음식은 425㎉로 한 그릇음식의 경우가 높은 열량을 제공하고 있었다. 반찬의 경우 1가지로부터 얻는 열량은 평균 107㎉였으며 김치의 경우는 9.84 ㎉였다. 직영급식과 위탁급식으로 나누어 살펴보면 한 그릇음식, 반찬, 김치의 제공열량이 위탁급식에서 약간 높은 경향을 보였다. 대상자의 음식의 평균 가짓수는 직영 5.5가지, 위탁 4.3가지였으며, 음식 및 반찬 가짓수가 증가할수록 섭취열량이 증가하였다. 대상자들의 섭취한 식단의 한끼당 섭취한 영양소 함량은 직영급식 524㎉, 위탁급식 494㎉였고, 단백질, 지질, 인, 철, 비타민A, 나이아신 등이 유의적으로 직영급식에서 높았다(p<0.001) 섭취한 식단의 영양소 함량은 인과 비타민C를 제외한 모든 영양소에서 권장량에 미달되었다. 섭취한 식단의 영양소적정섭취비는 대부분 0.4-0.9의 값을 보였고, 평균적정섭취비도 직영, 위탁 모두 0.68로 낮은 값을 보였다. 영양소 밀도의 경우 절대적 섭취에서 직영급식이 대부분의 영양소를 많이 섭취하고 있는 것과는 달리 위탁급식에서 철분의 밀도가 유의적으로 높았다(p<0.01). 총 대상자들이 식단에서 섭취한 열량을 살펴보면, 주식류의 경우 밥은 298㎉, 한 그릇음식은 386㎉로 한 그릇음식이 많은 열량을 제공하고 있었다. 반찬의 경우는 1가지로부터 얻는 열량은 78㎉, 김치는 8㎉였다. 이상의 결과로 볼 때, 제공량은 직영급식에서 많았으나 영양밀도 면에서는 큰 차이가 없는 것으로 보아 위탁급식의 제공량을 늘린다면 급식운영형태별 두 식단의 질적 차이가 크게 줄어들 것으로 보인다. 그러나 두 급식 형태 모두 제공식단의 영양소 함량은 다른 지역이나 연령에 비해 부족한 것으로 나타나 아침 결식 및 불규칙한 식사 등 영양상태가 좋지 못한 대학생들에게 교내 식당에서 질 높은 식사를 제공해야 할 것이다. 또한 식단 작성 시 학생들의 메뉴 기호도를 충분히 반영시키고 다양한 메뉴를 제공하는데 한계가 있다면 주.부식 외에 다양한 후식제공을 통하여 학교 급식에 대한 질을 향상시키는 노력을 해야 할 것이다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.13 no.6
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• pp.129-140
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• 2003

Recently viruses and various hacking tools that threat hosts on a network becomes more intelligent and cleverer, and so the various security mechanisms against them have ken developed during last decades. To detect these network attacks, many NIPSs(Network-based Intrusion Prevention Systems) that are more functional than traditional NIDSs are developed by several companies and organizations. But, many previous NIPSS are hewn to have some weakness in protecting important hosts from network attacks because of its incorrectness and post-management aspects. The aspect of incorrectness means that many NIPSs incorrectly discriminate between normal and attack network traffic in real time. The aspect of post-management means that they generally respond to attacks after the intrusions are already performed to a large extent. Therefore, to detect network attacks in realtime and to increase the capability of analyzing packets, faster and more active responding capabilities are required for NIPS frameworks. In this paper, we propose a framework for real-time intrusion prevention. This framework consists of packet filtering component that works on netfilter in Linux kernel and traffic control component that have a capability of step-by-step control over abnormal network traffic with the CBQ mechanism.

• Journal of Distribution Science
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• v.10 no.4
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• pp.21-28
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• 2012

While recent economic stagnation has left consumers dispirited, rapid growth has been seen in the domestic coffee industry recently. With the growth in coffee consumption, a tremendous increase in the number of specialty coffee shops has been seen in the domestic coffee market. The expectation that markets specializing in coffee will continue to grow for a long time will cause existing enterprises to expand their shops and increase the rate of entry of new shops. Intense competition in the domestic coffee market will force companies to create a competitive advantage through differentiated marketing strategies. This paper focuses on how the shopping value and repatronage intention of customers using coffee shops is affected by service quality. Moreover, this paper intends to examine the service quality that is critical for the successful management of relationships and the values that are important to consumers. For these purposes, the discriminative effect of service quality on shopping value was analyzed and the effect of utilitarian and hedonic value on repatronage intention was reviewed. The results of this study are detailed below. First, interaction and outcome quality can positively affect the hedonic value, whereas environment quality is not meaningful for utilitarian value. Considering the relative effect on utilitarian value outcome, the effect of outcome quality is greater than that of interaction. This result shows that the role of outcome quality is most important for improving utilitarian value. Second, outcome and environment quality positively affect hedonic value; however, interaction quality does not meaningfully increase hedonic value. These results indicate that customers recognize hedonic value on the basis of their evaluation of the service outcomes and the background to delivery service. In particular, it was revealed that the relative effect of outcome quality on hedonic value is greater than that of environment quality. Third, both utilitarian value and hedonic value had a positive effect on repatronage intention. The relative influence of the hedonic value is that the shopping value affects the repatronage intention more than the utilitarian value. These results mean that customers recognize coffee shops as spaces for satisfying utilitarian and hedonic values, and they place more importance on the benefits of the emotional experience than functional needs. Finally, this study suggests that output quality is more important than other service factors, and the results of this paper give some implications to the coffee shop industry that customers seek utilitarian needs based on economic value and place more weight on hedonic value, such as that offered by relationship media.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.39-58
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• 2014

As the importance of big data and related technologies continues to grow in the industry, it has become highlighted to visualize results of processing and analyzing big data. Visualization of data delivers people effectiveness and clarity for understanding the result of analyzing. By the way, visualization has a role as the GUI (Graphical User Interface) that supports communications between people and analysis systems. Usually to make development and maintenance easier, these GUI parts should be loosely coupled from the parts of processing and analyzing data. And also to implement a loosely coupled architecture, it is necessary to adopt design patterns such as MVC (Model-View-Controller) which is designed for minimizing coupling between UI part and data processing part. On the other hand, big data can be classified as structured data and unstructured data. The visualization of structured data is relatively easy to unstructured data. For all that, as it has been spread out that the people utilize and analyze unstructured data, they usually develop the visualization system only for each project to overcome the limitation traditional visualization system for structured data. Furthermore, for text data which covers a huge part of unstructured data, visualization of data is more difficult. It results from the complexity of technology for analyzing text data as like linguistic analysis, text mining, social network analysis, and so on. And also those technologies are not standardized. This situation makes it more difficult to reuse the visualization system of a project to other projects. We assume that the reason is lack of commonality design of visualization system considering to expanse it to other system. In our research, we suggest a common information model for visualizing text data and propose a comprehensive and reusable framework, TexVizu, for visualizing text data. At first, we survey representative researches in text visualization era. And also we identify common elements for text visualization and common patterns among various cases of its. And then we review and analyze elements and patterns with three different viewpoints as structural viewpoint, interactive viewpoint, and semantic viewpoint. And then we design an integrated model of text data which represent elements for visualization. The structural viewpoint is for identifying structural element from various text documents as like title, author, body, and so on. The interactive viewpoint is for identifying the types of relations and interactions between text documents as like post, comment, reply and so on. The semantic viewpoint is for identifying semantic elements which extracted from analyzing text data linguistically and are represented as tags for classifying types of entity as like people, place or location, time, event and so on. After then we extract and choose common requirements for visualizing text data. The requirements are categorized as four types which are structure information, content information, relation information, trend information. Each type of requirements comprised with required visualization techniques, data and goal (what to know). These requirements are common and key requirement for design a framework which keep that a visualization system are loosely coupled from data processing or analyzing system. Finally we designed a common text visualization framework, TexVizu which is reusable and expansible for various visualization projects by collaborating with various Text Data Loader and Analytical Text Data Visualizer via common interfaces as like ITextDataLoader and IATDProvider. And also TexVisu is comprised with Analytical Text Data Model, Analytical Text Data Storage and Analytical Text Data Controller. In this framework, external components are the specifications of required interfaces for collaborating with this framework. As an experiment, we also adopt this framework into two text visualization systems as like a social opinion mining system and an online news analysis system.