• Food Science and Preservation
• /
• v.18 no.5
• /
• pp.684-691
• /
• 2011

This study was carried out to suggest producers' marketing direction for GAP certified rawginseng using STP(segmentation, targeting and positioning). In order to fulfill this object, conjoint analysis and cluster analysis were used. The main results are as follows. Based on the results of part worth for attributes such as safety, size, and price, GAP certified raw-ginseng, large size, and low price were preferred to conventional ginseng, small size, and high price respectively. In the relative importance for each attributes, safety was 47.2%, size was 30.0%, and price was 17.8%. As a result of market segmentation, 3 consumer groups(large size preferred, safety preferred, lower price preferred) were classified. Among those groups, the safety preferred group was selected as a target market for GAP certified raw-ginseng and its market size was estimated approximately 2,968 tons which is 26.8% of total raw ginseng market.

• The KIPS Transactions:PartD
• /
• v.16D no.3
• /
• pp.317-326
• /
• 2009

Recently, there have been many research efforts proposed on trajectory information. Most of them mainly focus their attention on those objects moving in Euclidean space. Many real-world applications such as telematics, however, deal with objects that move only over road networks, which are highly restricted for movement. Thus, the existing methods targeting Euclidean space cannot be directly applied to the road network space. This paper proposes a new clustering scheme for a large volume of trajectory information of objects moving over road networks. To the end, we first define a trajectory on a road network as a sequence of road segments a moving object has passed by. Next, we propose a similarity measurement scheme that judges the degree of similarity by considering the total length of matched road segments. Based on such similarity measurement, we propose a new clustering algorithm for trajectories by modifying and adjusting the FastMap and hierarchical clustering schemes. To evaluate the performance of the proposed clustering scheme, we also develop a trajectory generator considering the observation that most objects tend to move from the starting point to the destination point along their shortest path, and perform a variety of experiments using the trajectories thus generated. The performance result shows that our scheme has the accuracy of over 95% in comparison with that judged by human beings.

• Korean Journal of Construction Engineering and Management
• /
• v.21 no.5
• /
• pp.11-19
• /
• 2020

A daily progress monitoring and further schedule management of a construction project have a significant impact on the construction manager's decision making in schedule change and controlling field operation. However, a current site monitoring method highly relies on the manually recorded daily-log book by the person in charge of the work. For this reason, it is difficult to take a detached view and sometimes human error such as omission of contents may occur. In order to resolve these problems, previous researches have developed automated site monitoring method with the object recognition-based visualization or BIM data creation. Despite of the research results along with the related technology development, there are limitations in application targeting the practical construction projects due to the constraints in the experimental methods that assume the fixed equipment at a specific location. To overcome these limitations, some smart devices carried by the field workers can be employed as a medium for data creation. Specifically, the extracted information from the site picture by object recognition technology of CNN model, and positional information by GIPS are applied to update 4D BIM data. A standard CNN model is developed and BIM data modification experiments are conducted with the collected data to validate the research suggestion. Based on the experimental results, it is confirmed that the methods and performance are applicable to the construction site management and further it is expected to contribute speedy and precise data creation with the application of automated progress monitoring methods.

• Journal of Digital Convergence
• /
• v.13 no.10
• /
• pp.135-146
• /
• 2015

Public data open is one of the important tasks of Korea Government 3.0. By making open data available to the private sector, the goal is to create jobs, increase innovation and improve quality of life. Public data open is a policy that emphasized its importance worldwide. Open data should have adequate quality in order to achieve the object of the public. However, there are open data's quality problems due to the lack of data quality management and standardization. The purpose of this study is to derive data characteristics of public open data from existing researches. In addition, the model was modified and verified through a survey targeting the experts on public open data. The study indicates that public open data's quality characteristics as publicity, usability, reliability, suitability. This study is significant in that it suggests quality characteristics to improve the data quality and promote utilization of the open data.

• Journal of the Korean Society for Library and Information Science
• /
• v.40 no.2
• /
• pp.103-123
• /
• 2006

Assuming that the knowledge creation and retrieval functions could be the most important factors for a successful knowledge management(KM) especially during the promotion stage of KM, this study suggests an e-learning application as one of best methods for producing knowledge and also the integrated knowledge repository model in which learning, knowledge. and information objects can be semantically associated through topic map-based knowledge map. The traditional KM system provides a simple directory-based knowledge map. which can not provide the semantic links between topics or objects. The proposed model can be utilized as a solution to solve the above-mentioned disadvantages of the traditional models. In order to collect the basic data for the proposed model, first, case studies utilizing interviews and surveys were conducted targeting at three Korean insurance companies' knowledge managers(or e-learning managers) and librarians. Second, the related studies and other topic map-based pilot systems were investigated.

• The Korean Journal of Elementary Counseling
• /
• v.5 no.1
• /
• pp.205-226
• /
• 2006

The purpose of this study was to find out the relations between 6th graders' negative cognitive process and anger experience and aggressiveness. To achieve the goal, it conducted a test to examine children's negative cognitive process, anger experience, aggressiveness targeting 100 children of 6th grade in C elementary school, Gyeonggj province. Then it conducted SPSS 12.0 statistical program to get the results of correlation analysis and regression analysis. The outcomes were as follows. First, there was a meaningfully positive relation between a negative cognitive process and anger experience. In other words, children having more negative cognitive process seemed to experience the feelings of anger more often, this presented the important role of cognition while getting into a temper Second, it reported a positive relation between anger experience and aggressiveness. Children who have experienced anger more often showed more violent behaviors, especially there were more significant positive relations between trait-anger and aggressiveness compared to state-anger and aggressiveness. This could explain some possibilities that children with high level of trait-anger might outrage more often than others by recognizing the situations as anger stimulants. Third, when conducting a regression analysis, a negative cognitive process made an effect on anger experience which affected aggressiveness. However, it did not show a negative cognitive process making a direct effect on aggressiveness. This is considered that children could experience an anger while evaluating an event or object in a negative way based on individual belief, and emotional linguistic behavioral aggressiveness would be formalized as they express the sparked fury either internally or externally. In conclusion, this study proved that there were close relations between children's negative cognitive process and anger experience and aggressiveness. A negative cognitive process affects anger experience, and anger experience affects aggressiveness afterwards. A negative cognitive process affects aggressiveness through anger experience indirectly, and especially trait-anger among anger experience is the main factor to influence on aggressiveness. With consideration of these results, it is believed that mediation is important key to moderate the negative cognition and trait-anger in order to diminish children's aggressive behaviors. This study has a meaning to provide searching for manifold mediating methods between negative cognition and trait anger, with a fundamental resource.

• The Journal of Sustainable Design and Educational Environment Research
• /
• v.6 no.2
• /
• pp.25-52
• /
• 2007

This paper is focused on the economical efficiency of the geothermal heat pump system in school. As the importance of problems of environment and energy becomes larger, the development and distribution of energy-saving technology in the whole nation has become influential. This paper is intended, targeting on school buildings scattered all over the country, to evaluate the introduction and possibility of a terrestrial heat system which is in the first stage of introduction in the country, through energy consumption and efficiency in case where a terrestrial heat system is introduced. To do that, the author performed a qualitative analysis of the heat pump system using various terrestrial heat energy and the system introduced to existing school buildings and, through the analysis, made tentative evaluation on the most environment-friendly and energy saving type system. Also, the author performed simulation analysis using a currently typical school building standard and, on the basis of this result, conducted efficiency analysis of various heat pump systems. The conclusion according to synthetical analysis & evaluation can be summarized as follows. In case a heat pump system is introduced to a school building, it was deemed the investment in the early stage would increase, but the investment could be collected within 5~6 years through reduction of large operation expenses. Also, it was analyzed in case of terrestrial heat contracted heat mode using midnight electric power among heat pump systems, not only early investment but also operation expenses could be reduced to a great extent. Accordingly in case the system using terrestrial heat energy is applied to the school buildings that are to be newly built or repaired in the future, it will provide an object-lesson to students as well as contributing to energy saving.

• Journal of Korean Society on Water Environment
• /
• v.23 no.2
• /
• pp.206-215
• /
• 2007

The objective of this study was to establish the optimal system operating strategies for nitrogen and phosphorus removal through model simulation system built for advanced wastewater treatment targeting on simultaneous temporal/special phase isolation BNR process. The simulation system was built with unit process modules using object modules in GPS-X code. The system was well verified by field experiment data. Simulation study was carried out to investigate performance response to design and operation parameters, i.e. hydraulic retention time (HRT), solids retention time (SRT), and cycle time. The process operated at HRTs of 10~15 hours, longer SRTs, and cycle time of 2 hours showed optimal removal of nitrogen. The HRTs of 10~15 hours, SRTs of 20~25 days, and longer cycle time was optimal for phosphorus removal. Both simulation and field studies showed that optimal operating strategies satisfying both the best nitrogen and phosphorus removals include HRTs ranged 10~15 hours, SRTs ranged 20~25 days, and cycle times of 4~8 hours. The simulation system with modularization of generalized components in BNR processes was, therefore, believed to be a powerful tool for establishing optimal strategies of advanced wastewater treatment.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.12
• /
• pp.4420-4438
• /
• 2021

Image dehazing is an ill-posed problem which is far from being solved. Traditional image dehazing methods often yield mediocre effects and possess substandard processing speed, while modern deep learning methods perform best only in certain datasets. The haze removal effect when processed by said methods is unsatisfactory, meaning the generalization performance fails to meet the requirements. Concurrently, due to the limited processing speed, most dehazing algorithms cannot be employed in the industry. To alleviate said problems, a lightweight fast dehazing network based on a multiple scale-patch framework (MSP) is proposed in the present paper. Firstly, the multi-scale structure is employed as the backbone network and the multi-patch structure as the supplementary network. Dehazing through a single network causes problems, such as loss of object details and color in some image areas, the multi-patch structure was employed for MSP as an information supplement. In the algorithm image processing module, the image is segmented up and down for processed separately. Secondly, MSP generates a clear dehazing effect and significant robustness when targeting real-world homogeneous and nonhomogeneous hazy maps and different datasets. Compared with existing dehazing methods, MSP demonstrated a fast inference speed and the feasibility of real-time processing. The overall size and model parameters of the entire dehazing model are 20.75M and 6.8M, and the processing time for the single image is 0.026s. Experiments on NTIRE 2018 and NTIRE 2020 demonstrate that MSP can achieve superior performance among the state-of-the-art methods, such as PSNR, SSIM, LPIPS, and individual subjective evaluation.

• Korean Journal of Heritage: History & Science
• /
• v.39
• /
• pp.351-378
• /
• 2006

With the development of media, the methods for the documentation of intangible cultural heritage have been also developed and diversified. As well as the previous analogue ways of documentation, the have been recently applying new multi-media technologies focusing on digital pictures, sound sources, movies, etc. Among the new technologies, the documentation of intangible cultural heritage using the method of 'Motion Capture' has proved itself prominent especially in the fields that require three-dimensional documentation such as dances and performances. Motion Capture refers to the documentation technology which records the signals of the time varing positions derived from the sensors equipped on the surface of an object. It converts the signals from the sensors into digital data which can be plotted as points on the virtual coordinates of the computer and records the movement of the points during a certain period of time, as the object moves. It produces scientific data for the preservation of intangible cultural heritage, by displaying digital data which represents the virtual motion of a holder of an intangible cultural heritage. National Research Institute of Cultural Properties (NRICP) has been working on for the development of new documentation method for the Important Intangible Cultural Heritage designated by Korean government. This is to be done using 'motion capture' equipments which are also widely used for the computer graphics in movie or game industries. This project is designed to apply the motion capture technology for 3 years- from 2005 to 2007 - for 11 performances from 7 traditional dances of which body gestures have considerable values among the Important Intangible Cultural Heritage performances. This is to be supported by lottery funds. In 2005, the first year of the project, accumulated were data of single dances, such as Seungmu (monk's dance), Salpuri(a solo dance for spiritual cleansing dance), Taepyeongmu (dance of peace), which are relatively easy in terms of performing skills. In 2006, group dances, such as Jinju Geommu (Jinju sword dance), Seungjeonmu (dance for victory), Cheoyongmu (dance of Lord Cheoyong), etc., will be documented. In the last year of the project, 2007, education programme for comparative studies, analysis and transmission of intangible cultural heritage and three-dimensional contents for public service will be devised, based on the accumulated data, as well as the documentation of Hakyeonhwadae Habseolmu (crane dance combined with the lotus blossom dance). By describing the processes and results of motion capture documentation of Salpuri dance (Lee Mae-bang), Taepyeongmu (Kang seon-young) and Seungmu (Lee Mae-bang, Lee Ae-ju and Jung Jae-man) conducted in 2005, this report introduces a new approach for the documentation of intangible cultural heritage. During the first year of the project, two questions have been raised. First, how can we capture motions of a holder (dancer) without cutoffs during quite a long performance? After many times of tests, the motion capture system proved itself stable with continuous results. Second, how can we reproduce the accurate motion without the re-targeting process? The project re-created the most accurate motion of the dancer's gestures, applying the new technology to drew out the shape of the dancers's body digital data before the motion capture process for the first time in Korea. The accurate three-dimensional body models for four holders obtained by the body scanning enhanced the accuracy of the motion capture of the dance.