• The Journal of Korean Medicine
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• v.32 no.4
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• pp.111-127
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• 2011

Objectives: The aim of this study was to establish a fundamental base for hGMP operational systems implementation. Method: The survey was done with a questionnaire developed through consulting specialists, in order to investigate the present state of manpower, facilities and capitalization of private enterprises, and opinions on what the road map for hGMP implementation must include. Results: The results showed that the business scales of related enterprises were relatively small. Education and health monitoring of employees has been done in fair amounts, but a standard must be established. Essential facilities required for herbal product production were present in most cases. Recognition and understanding of hGMP was low. Various opinions on the implementation of hGMP were gathered. Conclusion: Standardized hGMP education programs, plans to modify existing facilities, public announcements and advertisement of the system, and public assistance funds and tax privileges are needed for the successful implementation of the hGMP operational system.

• Journal of the Korean Society of Propulsion Engineers
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• v.11 no.2
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• pp.62-70
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• 2007

The aiming ability is a to improve accuracy performance of the firing vehicle. This paper describes the detection method of chatter vibration using disturbance acceleration in the pointing structure. In order to analysis vibration trends of the pointing system occurred during vehicle drive, acceleration data was processed by using data processing algorithm with moving average and Hilbert transform. Specific mode constants of acceleration were obtained under various disturbances. Vehicle velocity, road condition, property of pointing structure were considered as factors which make change of vibration trend in vehicle dynamics. Finally, back propagation neural networks have been applied to the pattern recognition for the classification of vibration signal in various driving conditions. Results of signal processing were compared and analysed.

• Proceedings of the Safety Management and Science Conference
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• 2005.05a
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• pp.199-212
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• 2005

Many countries of the world is driving forward development of large-scale hub port. They are now pushing ahead with setting up of effective marketing strategies to survive in keen competitions of the 21st century port industry. The port is of ever increasing importance for the bridge connecting sea and road transportation in handling international cargoes. The port, differently from general working places, is a closed area required for security, customs, and quarantine procedures. The loading and unloading is being done differently by ports, cargoes, and ships. To do loading and unloading, a lot of equipment and different types of labor are required, which flow is complicated and safe management is essential. As above mentioned the port is very unique and very deteriorated working place in its working environment. The purpose of this study is to propose ways to reduce and prevent from port accidents. As first step to do this, we have collected 923 accidents happened at Incheon Port during the period of 1994 to 2003. We have thoroughly analyzed characteristics, harmfulness, and risk of the loading/unloading they have done, as well as the accident frequency and relationship between the accidents. As second step to further analyze, We have employed DMAIC technology, an advanced process of 6 sigma presently in spotlight as the best program for management innovation. This analysis results in recognition of important accident characteristics, causes and effects analysis, critical causes of accident, and suggestions to decrease accidents.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.1
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• pp.93-103
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• 1999

To detect obstacles and lane-markers for driving vehicles, a new moving window scheme where moving windows are assigned to an image frame captured by a camera is addressed. For the detection of obstacles, it is important to estimate lane-markers precisely and rapidly. For this purpose, selecting some partes of an image frame at the expected lane locations, i.e., selecting window are generally adopted for extracting lane-markers efficiently. In this paper, a new scheme that extracts lane-markers precisely by assigning variable size windows at the expected locations of lane-markers considering the road curvature and finally detects obstacles within a driving lane is proposed. The accuracy improvement using this moving window scheme is showed by comparing to the conventional fixed window method and to using radar to laser sensors.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.5 s.305
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• pp.165-172
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• 2005

In speech recognition under a noisy environment, it is necessary to construct a system which reduces the noise and enhances the speech. Then it is effective to imitate the human auditory system which has an excellent analytical spectrum mechanism for speech enhancement. Accordingly, this paper proposes an adaptive method using the auditory mechanism which is called lateral inhibition. This method first estimates the noise intensity by neural network, then adaptively adjusts both the coefficients of the lateral inhibition and the adjusting coefficient of amplitude component according to the noise intensity for each input frame. It is confirmed that the proposed method is effective for speech degraded by white noise, colored noise, and road noise based on the spectral distortion measurement.

• Journal of IKEEE
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• v.14 no.4
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• pp.291-296
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• 2010

This paper handles, pitching and rolling posture change detection using the visual image changes due to the road slope conditions. When the moving vehicle is slanted to a direction, the objects in the visual images of the vehicle are moving to up or down and right or left. This is similar to the human's balancing behavior depending on the visual image change detection as well as the vestibular organs and semicircular canal in the ear. The proposes method shows the visual image through the camera can be used for the image information itself and for the posture change detection through the experiments.

• Journal of the Korea Safety Management & Science
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• v.7 no.2
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• pp.13-27
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• 2005

Many countries of the world is driving forward development of large-scale hub port. They are now pushing ahead with setting up of effective marketing strategies to survive in keen competitions of the 21st century port industry. The port is of ever increasing importance for the bridge connecting sea and road transportation in handling international cargoes. The port, differently from general working places, is a closed area required for security, customs, and quarantine procedures. The loading and unloading is being done differently by ports, cargoes, and ships. To do loading and unloading, a lot of equipment and different types of labor are required, which flow is complicated and safe management is essential. As above mentioned the port is very unique and very deteriorated working place in its working environment. The purpose of this study is to propose ways to reduce and prevent from port accidents. As first step to do this, we have collected 923 accidents happened at Incheon Port during the period of 1994 to 2003. We have thoroughly analyzed characteristics, harmfulness, and risk of the loading/unloading they have done, as well as the accident frequency and relationship between the accidents. As second step to further analyze, We have employed DMAIC technology, an advanced process of 6 sigma presently in spotlight as the best program for management innovation. This analysis results in recognition of important accident characteristics, causes and effects analysis, critical causes of accident, and suggestions to decrease accidents.

• Journal of the Semiconductor & Display Technology
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• v.10 no.2
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• pp.31-38
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• 2011

This paper introduces a video based traffic monitoring system for detecting vehicles and obstacles on the road. To segment moving objects from image sequence, we adopt the background subtraction algorithm based on the local binary patterns (LBP). Recently, LBP based texture analysis techniques are becoming popular tools for various machine vision applications such as face recognition, object classification and so on. In this paper, we adopt an extension of LBP, called the Diagonal LBP (DLBP), to handle the background subtraction problem arise in vision-based autonomous parking systems. It reduces the code length of LBP by half and improves the computation complexity drastically. An edge based shadow removal and blob merging procedure are also applied to the foreground blobs, and a pose estimation technique is utilized for calculating the position and heading angle of the moving object precisely. Experimental results revealed that our system works well for real-time vehicle localization and tracking applications.

• Cross-Cultural Studies
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• v.33
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• pp.263-286
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• 2013

Is this a right way in politics that attitude of Japanese scholars to separate Natsume Soseki from the expansionism of pre-war Japan to protect 'sanctity'? Nowadays, most Japanese scholars are regarded to share the desire that minimize the memory of the behavior of Japanese Imperialism in East Asia, such as Korea, China, etc. Furthermore, 'the desire to minimize' inescapably concluded in avoidance, concealment, at last the temptation of deliberate misleading. Until now, the controversy about the Natsume Soseki's travel to Korea and Manchuria has repeated in defence and criticism surrounding the self-awareness and recognition of others of Natsume Soseki, making the expression in a record of Natsume's travel as the subject of study, for example, the degrading expression about Chosun people and scorn for Chinese and Russian. This paper will investigate that Natsume's travel is the political practice which is combined with the desire for the empire, focusing on the political context in the action of journey of Natsume and its contents other than the expression itself.

• Journal of Drive and Control
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• v.19 no.3
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• pp.9-15
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• 2022

This paper proposes a method for constructing and verifying datasets used in deep learning technology, to prevent safety accidents in automated construction machinery or autonomous vehicles. Although open datasets for developing image recognition technologies are challenging to meet requirements desired by users, this study proposes the interface of virtual simulators to facilitate the creation of training datasets desired by users. The pixel-level training image dataset was verified by creating scenarios, including various road types and objects in a virtual environment. Detecting an object from an image may interfere with the accurate path determination due to occlusion areas covered by another object. Thus, we construct a database, for developing an occlusion area detection algorithm in a virtual environment. Additionally, we present the possibility of its use as a deep learning dataset to calculate a grid map, that enables path search considering occlusion areas. Custom datasets are built using the RDBMS system.