• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.73-81
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• 2003

The construction industry has been experiencing a major challenge in its work force, 'the shortage of skilled craft workers.' This problem has been caused by several factors such as the poor image of the construction industry, lack of training and education, unclear career path, declining wages, and changing work force demographics. A 'step-change' approach called the 'Two-Tier Work Force Strategy' has been proposed by the Center for Construction Industry Studies (CCIS) to deal with the work force related issues in a radical way. It is composed of two separate strategies, Tier I and II. The Tier I strategy uses less skilled and task trained craft workers, and has a larger administrative site management team than the Tier II strategy. The Tier II strategy utilizes fewer, better-educated, and higher skilled workers who perform some lower-management functions in addition to craft functions. They are paid more, but produce more through higher skills, stay on the job longer through multi-skilling, and deliver improved project performance in safety, quality, schedule, and cost The Two-Tier Work Force Strategy has the potential to resolve the current work force problems and foster a better work force environment in the future.

• Research in Community and Public Health Nursing
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• v.13 no.1
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• pp.161-170
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• 2002

Purpose: To evaluate community health nursing practice by nursing students for basic data to improve nursing practice education, and to determine the clinical practice experiences of nursing students at public health centers. Method: According to methodological triangulation, all data was collected from March 2001 to June 2001 through prepared questionnaires with 62 Participants, and in depth interviews with 2 Participants, and content analysis with 8 Participants. Results: 1. Clinical practice content was needed to make up professionally. 2. Clinical practice instructor was satisfied with teaching by community health nursing professor, but not by public health center nurse. 3. Clinical environment was perceived as good. 4. Clinical practice time was perceived suitable, but practice evaluation was given a low grade. 5. Experience of nursing students was grouped into 9 categories and 20 themes. 9 Categories are as follows: change of public health center image, difficulty in the personal relationship, positive personal relationships, doubt about the attitude, doubt about the task, tension, worth, ambivalance of the conference, feeling about the end stage of the clinical practice. Twenty themes are stereotypic of the public health care center: recognition, difficulty between tasks and interrelationships with the clients, decrease of self esteem due to deficiency of trust with the students, exchange of feelings in the relationships, the situation of clients was not considered, feelings were disregarded, not systematic, regarding students as supplementory manpower, independent work but not enough contents, anxiety & fear, self-trust, be skilled in the practice, pragmatic knowledge formation, understanding of the old person, self-study of oneself. live up to the expectation, consider as the job, dissolve the stress and impose burden, feeling the lack regarding active approach in the practice. Conclusion: The students have perceived the need of community health nursing through the clinical practice. Clinical practice of community health nursing requires content supplement, correction of instruction by public center nurses, environmental alteration, evaluation criteria set up. Experience of clinical practice in the public health center was as follows: Getting rid of the stereotype about public health center, nursing students comprehended variety and were worth while to do clinical practice in spite of tension& anxiety and fear. And they thought to be a community nurse someday.

• Journal of Korea Multimedia Society
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• v.13 no.7
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• pp.1000-1015
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• 2010

In this paper, we propose a novel algorithm for hand gesture recognition. The hand detection method is based on human skin color, and we use the boundary energy information to locate the hand region accurately, then the moment method will be employed to locate the hand palm center. Hand gesture recognition can be separated into 2 step: firstly, the hand posture recognition: we employ the parallel NNs to deal with problem of hand posture recognition, pattern of a hand posture can be extracted by utilize the fitting ellipses method, which separates the detected hand region by 12 ellipses and calculates the white pixels rate in ellipse line. the pattern will be input to the NNs with 12 input nodes, the NNs contains 4 output nodes, each output node out a value within 0~1, the posture is then represented by composed of the 4 output codes. Secondly, the hand gesture tracking and recognition: we employed the Kalman filter to predict the position information of gesture to create the position sequence, distance relationship between positions will be used to confirm the gesture. The simulation have been performed on Windows XP to evaluate the efficiency of the algorithm, for recognizing the hand posture, we used 300 training images to train the recognizing machine and used 200 images to test the machine, the correct number is up to 194. And for testing the hand tracking recognition part, we make 1200 times gesture (each gesture 400 times), the total correct number is 1002 times. These results shows that the proposed gesture recognition algorithm can achieve an endurable job for detecting the hand and its' gesture.

• Journal of KIISE:Software and Applications
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• v.36 no.4
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• pp.253-260
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• 2009

Many algorithms for computer vision and pattern recognition have recently been implemented on GPU (graphic processing unit) for faster computational times. However, the implementation has two problems. First, the programmer should master the fundamentals of the graphics shading languages that require the prior knowledge on computer graphics. Second, in a job that needs much cooperation between CPU and GPU, which is usual in image processing and pattern recognition contrary to the graphic area, CPU should generate raw feature data for GPU processing as much as possible to effectively utilize GPU performance. This paper proposes more quick and efficient implementation of neural networks on both GPU and multi-core CPU. We use CUDA (compute unified device architecture) that can be easily programmed due to its simple C language-like style instead of GPU to solve the first problem. Moreover, OpenMP (Open Multi-Processing) is used to concurrently process multiple data with single instruction on multi-core CPU, which results in effectively utilizing the memories of GPU. In the experiments, we implemented neural networks-based text extraction system using the proposed architecture, and the computational times showed about 15 times faster than implementation on only GPU without OpenMP.

• Proceedings of the KSRS Conference
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• v.2
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• pp.551-554
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• 2006

House management is very important in water resource protection in order to provide sustainable drinking water for about four millions population in northern Taiwan. House management can be a simple job that can be done without any ingredient of remote sensing or geographic information systems. Remote sensing and GIS integration for house management can provide more efficient management prescription when land use enforcement, soil and water conservation, sewage management, garbage collection, and reforestation have to be managed simultaneously. The objective of this paper was to integrate remote sensing and GIS to manage houses in a water resource protection district. More than four thousand houses have been surveyed and created as a house data base. Site map of every single house and very detail information consisting of address, ownership, date of creation, building materials, acreages floor by floor, parcel information, and types of house condition. Some houses have their photos in different directions. One house has its own card consists these information and these attributes were created into a house data base. Site maps of all houses were created with the same coordinates system as parcel maps, topographic maps, sewage maps, and city planning maps. Visual Basic.NET, Visual C#.NET have been implemented to develop computer programs for house information inquiry and maps overlay among house maps and other GIS map layers. Remote sensing techniques have been implemented to generate the background information of a single house in the past 15 years. Digital orthophoto maps at a scale of 1:5000 overlay with house site maps are very useful in determination of a house was there or not for a given year. Satellite images if their resolutions good enough are also very useful in this type of daily government operations. The developed house management systems can work with commercial GIS software such as ArcView and ArcPad. Remote sensing provided image information of a single house whether it was there or not in a given year. GIS provided overlay and inquiry functions to automatically extract attributes of a given house by ownership, address, and so on when certain house management prescriptions have to be made by government agency. File format is the key component that makes remote sensing and GIS integration smoothly. The developed house management systems are user friendly and can be modified to meet needs encountered in a single task of a government technician.

• Journal of Bio-Environment Control
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• v.3 no.1
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• pp.42-51
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• 1994

Visual features of a mushromm(Lentinus Edodes L.) are critical in sorting and grading as most agricultural products are. Because of its complex and various visual features, grading and sorting of mushrooms have been done manually by the human expert. Though actions involved in human grading look simple, it decision making underneath the simple action comes from the result of the complex neural processing of visual image. Recently, an artificial neural network has drawn a great attention because of its functional capability as a partial substitute of the human brain. Since most agricultural products are not uniquely defined in its physical properties and do not have a well defined job structure, the neuro -net based computer visual information processing is the promising approach toward the automation in the agricultural field. In this paper, first, the neuro - net based classification of simple geometric primitives were done and the generalization property of the network was tested for degraded primitives. And then the neuro-net based grading system was developed for a mushroom. A computer vision system was utilized for extracting and quantifying the qualitative visual features of sampled mushrooms. The extracted visual features of sampled mushrooms and their corresponding grades were used as input/output pairs for training the neural network. The grading performance of the trained network for the mushrooms graded previously by the expert were also presented.

• Journal of Agricultural Extension & Community Development
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• v.19 no.4
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• pp.773-798
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• 2012

The study present the findings divide into brand naming, image, positioning. The farms built trust by consumer relationship with the farm brand. The results of the study provide insights for agricultural marketers who intend to design brand stories that align with their produce. This study is a regional case study of the factor analysis which explain residents' satisfaction of the efficient rural development projects under the Block Grants System in Buyeo. This study attempted to proceed the empirical survey of 353 residents who live in one 'town(eup)' and 13 'village(meon)' in Buyeo-gun and analyzed through SPSSWIN. The results of the satisfaction analysis in the local development projects satisfied with the overall average 3.16 and then empirically verified the important factors of the 'cultural and leisure activities', 'learning environment', 'jobs and working conditions', 'transportation'. The factor analysis of 12 variables united into three factors, the first Factors are 'transportation', 'learning environment', 'social welfare', 'cultural and leisure activities', 'Information and Communication', 'Health and Medical Services'. The second factors are 'crimes and accidents', 'environmental management', 'neighbor relations and social participation', and the third factors united into 'income and consumption activities', 'job creation' which imply the economic variables, and 'residential environment' as the common category.

• Journal of The Korean Association For Science Education
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• v.25 no.2
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• pp.184-196
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• 2005

The purpose of this study is to identify various issues contributing to the current issues of students not wanting to major in science and engineering. and further explore various strategies to encourage their higher education in the science and engineering area. The study administered survey on students' perception towards the science related profession including respondents' gender, grade, their attitude towards woman scientists, perception on the woman scientists, scientists as profession, their level of knowledge on the scientists, and if there is any they respect. The results indicated that overall perceptions on the scientists as career for high school students was positive, but there was more negative acceptance for the juniors since they are more concerned with their majors at the university: higher for students who are in the natural science area than the ones in the social science school since they are more directly related than others. The perception on the woman scientists and girls in the science and engineering majors was positive. However, there were some differences in the response level among the items. Among these, considering the job availability and conditions, the perception was more negative than the others. Also the result indicated that both boys and girls disagree that the science-related profession may be gender-inappropriate for girls due to physical and cognitive characteristics. Results also indicated the level of awareness among scientists, they had higher awareness for male scientists than that of the female, and also international ones than the national ones. And many girls did not have positive image of a successful woman scientists.

• The Journal of Natural Sciences
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• v.10 no.1
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• pp.199-208
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• 1998

This study forecasts the trend of ethnic theme through market survey, concentrating on Los Angeles market. First, the background of ethnic theme was examined, and the present situation of shops, department sores, and headquarter was also surveyed. After that, fashion trend suitable for market was suggested by analyzing the life style of consumers through zip code. The results of the study are as follows. The conspicuous trend of '97 F/W retail stores is ethnic. This reaction to complicated modern life, and symbolizes the desirable evaluation on the simpleness of basic life and nature. The model of ethnic design is identified in natural clothing, primitive arts, ethnic culture and African theme. In short, this ethnic fashion is expressed as simpleness, naturalism convenience and freedom. On the other hand, the standard of general department stores such as Broadway and Robinson May which are the headquarter of this trend is to satisfy various consumers with various styles. Ethnic goods from Broadway has not arrived at the top for its introducing step. To elevate sales of these goods, promotion through VMD and suggesting various ethnic goods should be done. Besides, when analyzing the consumers of Beverly center Broadway, the target of these goods are mostly professional young people in their 25-34 and 35-44. The life style of these people emphasizes sophisticated life in aspects such as job-oriented activities, and up-to-date fashion. Especially, image is very important. They want individuality different from others. These images are diversified from simpleness, naiveness to sexy character. Accordingly, suggesting fashion trend satisfying the demand of consumers through market survey will make fashion market create infinite possibilities.

• Korean Journal of Construction Engineering and Management
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• v.9 no.4
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• pp.193-205
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• 2008

Quality is an important keyword representing the corporate competitiveness and image in today' s construction industry. Especially in concrete construction, any problems or defects in fresh concrete can significantly degrade the entire quality and performance of the facility built. Thus, adequate quality inspection and testing must be exercised over the fresh concrete, if concrete with the required strength, durability and appearance is to be obtained. The testing of concrete delivered to the construction job site involves testing of fresh concrete and performing strength tests on hardened concrete. The principal tests conducted on fresh concrete include the slump test and tests for air and salt content. The temperature of fresh concrete should be checked out hot or cold weather concreting. The 7-day and 28-day strength of hardened concrete are also determined by compression tests on usually cylinder samples. However, it is very complex and time-consuming process requiring a lot of efforts to document those on-site concrete testing results and to accumulate their historical data. The primary objective of this study is to suggest a unique PDA and web-based system which enables an on-site quality manager to effectively conduct the concrete inspection and testing, automatically document and accumulate the collected historical data, and promptly obtain the approval from supervisors. Finally, it is anticipated that the effective use of the proposed PDA and web-based system would be able to improve reliability of the concrete quality inspection and testing data as well as significantly reduce the approval process.