• Journal of the Korean Society of Safety
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• v.31 no.2
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• pp.98-103
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• 2016

The goals of this study were to investigate some significant factors to judge level of safety at urban railway construction field and to analyze degree of risk by work classification. Currently, there are lots of construction fields for the urban railway for national transportation, and our government also planned constructing more urban railway in near future. However, most of the researches on safety neglected the degree of risk factors on the urban railway construction field. Safety managers participated in the brainstorming session for deriving decision criteria of the degree of risk (i.e., significant factors). Then, they were asked to answer a structured questionnaire which was developed for deriving most important factors. Finally, the analytic hierarchy process (AHP) was used to analyze level of risk by work classification. The following results were obtained. First, total twelve factors judging degree of risk were found in the brainstorming session. Second, the questionnaire showed four significant factors, including adjacency of obstacle, intensity of work, unsafe condition and work space. Third, the results of AHP showed civil work is the most dangerous work among 6 work types. The results could be used to give the safety management priority on accident prevention efforts among several hazards and to reduce degree of risk in construction field of the urban railway.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.1128-1135
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• 2003

e-Transformation of an enterprise requires the collaboration of business processes to be suited to the business participants' purpose. To realize this collaboration, business processes should be implemented as components and the system developers could be able to reuse the components for their specific purpose. The first step of this collaboration is the discovery of exact components for business processes. A dilemma, however, is the fact that there are thousands or even millions of business processes which vary from one enterprise to another. Moreover, business processes could be decomposed into multiple levels of semantics and classified into several process areas. In general, discovery of exact business processes requires understanding of widely adopted classification schemes such as CBPC, OAGIS, or SCOR. To cope with this obstacle, business process metadata should be defined and managed regardless of specific classification schemes to support effective discovery and reuse of business processes components. In this paper, a methodology to discover business process components published in different semantic levels is proposed. The proposed methodology represents the metadata of business process components as topic maps stored in a registry and utilizes the powerful features of topic maps for process discovery. TM4J, an open-source topic map engine, is modified to support concept matching and navigation. With the implemented tool, application system developers can discover and publish the business process components effectively.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2003.05b
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• pp.62-65
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• 2003

When a mobile robot moves around autonomously without man-made corrupted bye landmarks, it is essential to recognize the placement of surrounding objects especially for self localization, obstacle avoidance, and target classification and localization. To recognize the environment we use many Kinds of sensors, such as ultrasonic sensors, laser range finder, CCD camera, and so on. Among the sensors, ultra sonic sensors(sonar)are unexpensive and easy to use. In this paper, we analyze the sonar data and propose a method to recognize features of indoor environment. It is supposed that the environments are consisted of features of planes, edges, and corners, For the analysis, sonar data of plane, edge, and corner are accumulated for several given ranges. The data are filtered to eliminate some noise using the Kalman filter algorithm. Then, the data for each feature are compared each other to extract the character is ties of each feature. We demonstrate the applicability of the proposed method using the sonar data obtained form a sonar transducer rotating and scanning the range information around a indoor environment.

• Journal of the Korea Safety Management & Science
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• v.14 no.2
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• pp.113-121
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• 2012

The important elements and conditions to improve corporate competitiveness are customer development, new product development, sales increase, net profit increase, and other factors. Even if those competitiveness elements are well prepared, obstacles may exist. In this paper, we examined the risk, the deadliest obstacle that can affect corporate. We selected the risk factors that exist in functional categories in the system connected complicatedly and variously by organizational value chain of corporate, and examined the conceptual model of Enterprise Risk Management System based on the precedent studies.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2789-2791
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• 2003

Today, many people are sitting on chair in their life. If a sitting posture is not correct, there is some trouble with the waist. And if it goes on long time, sometimes it cause the hurts of waist or the deformded spinal column. A crouched posture is an obstacle to breath and it give rise to drowsiness because the lack of oxygen. Sitting posture is a habit so people can't feel it oneself and look over some kind of risks. It analyzes a condition of muscles by measuring EMG of spinal both side of spin al-bones. It can have a right sitting posture by the analyzing that increasing of muscles tention in one or the other side of muscles when the posture inclines on one side or ahead.

• Journal of Sensor Science and Technology
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• v.30 no.5
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• pp.290-294
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• 2021

Experts have designed popular and successful model architectures, which, however, were not the optimal option for different scenarios. Despite the remarkable performances achieved by deep neural networks, manually designed networks for classification tasks are the backbone of object detection. One major challenge is the ImageNet pre-training of the search space representation; moreover, the searched network incurs huge computational cost. Therefore, to overcome the obstacle of the pre-training process, we introduce a network adaptation technique using a pre-trained backbone model tested on ImageNet. The adaptation method can efficiently adapt the manually designed network on ImageNet to the new object-detection task. Neural architecture search (NAS) is adopted to adapt the architecture of the network. The adaptation is conducted on the MobileNetV2 network. The proposed NAS is tested using SSDLite detector. The results demonstrate increased performance compared to existing network architecture in terms of search cost, total number of adder arithmetics (Madds), and mean Average Precision(mAP). The total computational cost of the proposed NAS is much less than that of the State Of The Art (SOTA) NAS method.

• Journal of information and communication convergence engineering
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• v.20 no.1
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• pp.31-40
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• 2022

Coronary heart disease (CHD) is a comorbidity of COVID-19; therefore, routine early diagnosis is crucial. A large number of examination attributes in the context of diagnosing CHD is a distinct obstacle during the pandemic when the number of health service users is significant. The development of a precise machine learning model for diagnosis with a minimum number of examination attributes can allow examinations and healthcare actions to be undertaken quickly. This study proposes a CHD diagnosis model based on feature selection, data balancing, and ensemble-based classification methods. In the feature selection stage, a hybrid SVM-GA combined with fast correlation-based filter (FCBF) is used. The proposed system achieved an accuracy of 94.60% and area under the curve (AUC) of 97.5% when tested on the z-Alizadeh Sani dataset and used only 8 of 54 inspection attributes. In terms of performance, the proposed model can be placed in the very good category.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.2
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• pp.65-72
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• 2011

In this paper, a real-time monocular vision based navigation system is developed for the disabled people, where online background learning and vector field histogram are used for identifying obstacles and recognizing avoidable paths. The proposed system is performed by three steps: obstacle classification, occupancy grid map generation and VFH-based path recommendation. Firstly, the obstacles are discriminated from images by subtracting with background model which is learned in real time. Thereafter, based on the classification results, an occupancy map sized at $32{\times}24$ is produced, each cell of which represents its own risk by 10 gray levels. Finally, the polar histogram is drawn from the occupancy map, then the sectors corresponding to the valley are chosen as safe paths. To assess the effectiveness of the proposed system, it was tested with a variety of obstacles at indoors and outdoors, then it showed the a'ccuracy of 88%. Moreover, it showed the superior performance when comparing with sensor based navigation systems, which proved the feasibility of the proposed system in using assistive devices of disabled people.

• Journal of the Korean association of regional geographers
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• v.22 no.1
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• pp.25-35
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• 2016

This paper is to classify subregions of Yeongnam region, to realize their core area, and to provide the basis on studying inherent cultural characteristics in Yeongnam region. To do so, I made a overlay human factors of administrative district and dialect with physical factors of drainage basin and climate area. The limit of subregion is the range of possessing environmental factors similar to provincial center. The parcels possessing a equivalent combination of environmental factors are 27, the size of parcel is various from one-city/county to six-city/county. These parcels are classified to six subregions(Andong, Sangju, Kyeongju, Daegu, Kimhae, Jinju). The boundary of subregion is high mountains and large river which are obstacle to communication between subregions, and in case of little obstacle exists transitional zone.

• The Korean Journal of Archival Studies
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• no.3
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• pp.65-89
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• 2001

We, at The Korea Democracy Movement Archives opened temporarily at SungKongHoe University(SKHU), have currently collected about 100,000 recorded materials of democratization movement related with labor, farmer, civilian, human rights, peace, unification, young people, student and women's movements by investigating, collecting and receiving donations from civil organizations and individuals, and about 70,000 data out of this 100,000 data were converted into computer files. The Korea Democracy Movement Archives(temp) at SKHU has a significance in that it is the first archive opened by an organization. Furthermore, the opening of this Archive means the expansion of awareness on recording culture and accumulation of the achievements of the democratization movement in Korea. However, many obstacles still remain in the establishment of this Archive in a full-scale. This article examined many theoretical and realistic obstacles posed to the archivists, who are the professionals responsible for record management, in process of establishing the Archive, and the role and future perspectives of the archivists at The Korea Democracy Movement Archives(temp). The first obstacles in the process of organizing and separating the recorded materials at the Archive is a difficulty in the description of classifying the different movement organizations. The second obstacle is a difficulty in specifically applying the international standard, ISAD(G), of record description in the process of establishing the description items. Through many trials and errors, we need to try to confirm the description befitting. The Korea Democracy Movement Archives through continuous adjustment and complementary measures. The third obstacle is a difficulty in estimating the range and physical and quantitative amount of the recorded materials since the collection of recorded materials is complete. Thus, the answers to these problems lie in continuous efforts to establish a creative classification system befitting the democratization movement in Korea in the process of many trials and errors and endeavor. The evaluation classification done by archivists is a creative act forming record heritage, and archivists need to form record heritage reflecting the evaluation system of a certain period. Moreover, they transmit the shape of the current era in a maximum scale to the future by using the minimum amount of records. An archivist is responsible for two tasks, i.e., preserving a record and making other people to utilize the record by working with record. However, We, at The Korea Democracy Movement Archives(temp), have an additional task of contributing to the democratization movement in korea that has not ended by collecting, preserving and making people to utilize the fragments of memory in the recent history of Korea by establishing the Archives.