• Journal of the Korean Society of Manufacturing Process Engineers
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• v.14 no.6
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• pp.49-56
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• 2015

For designing working devices of construction equipment, it is necessary to consider not only sufficient working ability but also available working range. Therefore, it is important to select the appropriate pivot positions of links. This paper presents a study on selection of pivot points of links used in construction equipment. To analyze the effect of each pivot point, a design program for pivot selection is developed. A conventional pivot design method requires a complicated process because it needs to create a certain working position manually to evaluate its performance. However, the developed program includes an automatic link assembly algorithm; thus, the working device can easily be analyzed by using pivot information of links. The developed program also included a kinematic/static analysis module and characteristic analysis algorithms. Therefore, it is possible to easily analyze a working device model created through the automatic assembly algorithm, whereby users can easily analyze the effect of each link pivot point for the actual product design.

• Journal of Internet Computing and Services
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• v.9 no.5
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• pp.9-21
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• 2008

In theory, within ubiquitous learning environment, education is happening all around the student but the student may not even be conscious of the learning process. But, in this study, we consider the ubiquitous learning environment where PMP (Personal Multimedia Player) is being used for delivering the learning-contents. And the purpose of this study is to identify the problematic factors recognized by PMP users in u-learning environment. A need analysis was used to identify and evaluate needs of 74 PMP users as well non-users. Based on the interviews of participants, we give a brief summary results on motivation for using PMP, purchasing and operating costs, category of contents being used, dissatisfying and problematic factors with using PMP in u-learning environment. Therefore, we present six categories of factors preventing the u-learning with PMP from being diffused such as lacks of awareness, loss of confidence, side-effects, lacks of education and support, costs, and lacks of contents. In conclusion, we suggest a set of guidelines which might help remove these the resistance factors.

• Research in Community and Public Health Nursing
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• v.7 no.2
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• pp.203-215
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• 1996

Social security is concerned with ensuring all citizens maintain basic needs, community health nursing maintains and promotes health for all community members. Lately, This new area of community health nursing, concern social welfare has increased. The objectives of this study are, first, to analysis the activities of nurses at community social welfare institutes, second, to estimate nursing demand for social welfare areas. The study methods used were as literature review, an analysis of statistical data and case study etc. The analytical framework also included a demand analysis of nursing manpower in community social welfare areas. The major results are as follows; 1. Employees which work at social welfare institutes number 55,464, nursing manpower (including nurse aids) number 1,458 and this is 3% of the total employees. Within nursing manpower, nurses number 780, nurse aids number 670. 2. The rates of nurses among total employees were high in institutes for mental disorders and institutes for the age. 3. The salary level of nurses was lower than average and the rates of retirement showed a roughly middle level in welfare institutes. 4. The satisfaction level of nursing services was high, and it is the trend that nurses substitute for nurse aids which retire at social welfare institutes. 5. Nurse demand that follows legal criteria is 2,221, but only 35% are working. It is therefore insufficient from the minimum of 733 to a maximum 1433. 6. The sufficiency rates by institution were high at institutes for vagrants, aged and the handicapped. In conclusion, the conditions are of nurses which are working in with the social welfare institutes are poor. Also the number of nurses compared rates of demand were in surplus. But, the basic direction of welfare policy is universal-preventive and provision of the family and of community centered service, and nursing service demand in the social welfare institute will increase continuously, we predict. Therefore, we will need a positive plan such as the development of an inservice education program and the construction of an information collection system etc.

• Fashion & Textile Research Journal
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• v.16 no.1
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• pp.91-100
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• 2014

The purpose of this study was to examine the effect of consumer's environmental knowledge, eco-friendly attitude and purchase intention about fashion consumers' eco-friendly products. This study was conducted by a survey of 330 males and females fashion consumers in their 20s-40s who experienced eco-friendly fashion products purchase. Respondents, who had purchased eco-friendly fashion items at least once, were selected using convenience sampling through the online survey from March $20^{th}$ to $30^{th}$ in 2013. The collected materials were analyzed by frequency analysis, factor analysis, t-test and multi-regression using SPSS 19.0 software. Through the result of statistical analysis, it is found that environmental knowledge has three dimensions; natural environmental knowledge, urbanized environmental knowledge, environmental pollution knowledge. Also the effects of environmental knowledge on eco-friendly attitude are significant and eco-friendly attitude has influence on eco-friendly fashion products purchase behavior. Eco-friendly attitude had an effect word of mouth intention. In addition, there are notable differences in environmental knowledge, eco-friendly attitude and purchase intention depending on fashion consumer's age. The results of this study will provide useful information for both eco-friendly customer management and fashion marketing strategies. Therefore, the fashion company is needed to consider personal characteristics, customer needs and present condition of purchasing eco-friendly fashion products.

• Asian-Australasian Journal of Animal Sciences
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• v.28 no.7
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• pp.1028-1037
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• 2015

Unique organoleptic characteristics such as rich flavors and chewy texture contribute to the higher popularity of native chicken in many Asian areas, while the commercial broilers are well-accepted due to their fast-growing and higher yields of meat. Sensory attributes of foods are often used to evaluate food eating quality and serve as references during the selection of foods. In this study, a three-phase descriptive sensory study was conducted to evaluate the sensory attributes of commercial broiler (BR) and Taiwan native chicken (TNC) breast meat, and investigate correlations between these sensory attributes and instrumental measurements. The results showed that for the first bite (phase 1), TNC meat had significantly higher moisture release, hardness, springiness, and cohesiveness than BR meat. After chewing for 10 to 12 bites (phase 2), TNC meat presented significantly higher chewdown hardness and meat particle size, whereas BR meat had significantly higher cohesiveness of mass. After swallowing (phase 3), TNC meat had higher chewiness and oily mouthcoat and lower residual loose particles than BR meat. TNC meat also provided more intense chicken flavors. This study clearly demonstrates that descriptive sensory analysis provides more detailed and more objectively information about the sensory attributes of meats from various chicken breeds. Additionally, sensory textural attributes vary between BR and TNC meat, and are highly correlated to the shear force value and collagen content which influence meat eating qualities greatly. The poultry industry and scientists should be able to recognize the sensory characteristics of different chicken meats more clearly. Accordingly, based on the meat's unique sensory and physicochemical characteristics, future work might address how meat from various breeds could best satisfy consumer needs using various cooking methods.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.6
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• pp.149-161
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• 2009

Electronic control systems of vehicle are rapidly developed to keep balance of a driver`s safety and the legal, social needs. The driver assistance systems are putted into practical use according to the cost drop in hardware and highly efficient sensor, etc. This study has developed a lane and vehicle detection program using CCD camera. The Risky Driving Analysis Program based on vision systems is developed by combining a risky driving detection algorithm formed in previous study with lane and vehicle detection program suggested in this study. Risky driving detection programs developed in this study with information coming from the vehicle moving data and lane data are useful in efficiently analyzing the cause and effect of risky driving behavior.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.7
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• pp.801-806
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• 2004

Although the technology for emotion recognition is important one which demanded in various fields, it still remains as the unsolved problem. Especially, it needs to develop the algorithm based on human facial image. In this paper, we propose the facial image analysis algorithm for emotion recognition. The proposed algorithm is composed as the facial image extraction algorithm and the facial component extraction algorithm. In order to have robust performance under various illumination conditions, the fuzzy color filter is proposed in facial image extraction algorithm. In facial component extraction algorithm, the virtual face model is used to give information for high accuracy analysis. Finally, the simulations are given in order to check and evaluate the performance.

• Animal cells and systems
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• v.6 no.1
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• pp.13-18
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• 2002

Phylogenetic relationships of Korean Acidiella species were tested using mitochondrial 16S ribosomal RNA gene sequences. We used 16 published sequences as outgroup, and 10 new sequences for nine Korean Acidiella species as ingroup. The number of aligned sites was 1,281 bp, but 1,135 bp were used for the analysis after excluding sites with missing data or gaps. Among these 1,135 sites, 464 sites were variable and 340 were informative for parsimony analysis. Phylogenetic information was extracted from this data set using neighbor-joining, maximum likelihood and maximum parsimony methods and compared to a morphology-based phylogenetic hypothesis. Our molecular data suggest that: (1) the tribe Trypetini appears to be monophyletic even when the nine additional Acidiella species are added to our previous phylogenetic analysis; (2) all the Korean Acidiella species belong to the Trypeta group, but the genus Acidiella is not supported as monophyletic; (3) the close relationship of A. circumvaga, A. issikii, and A. sapporensis is supported; (4) the close relationship of A. pachypogon and two additional new Acidiella species is strongly supported; and (5) the possible presence of two or more cryptic species among the specimens previously identified as A. obscuripennis is suggested. Sequence data from the mitochondrial 16S rDNA allowed us to better understand the systematic status of Korean Acidiella species. They indicated that the current concept about the genus Acidiella is insufficient and needs to be refined further. This study also showed a few interesting relationships, that had not been recognized by morphological study alone. Based on this study, we were able to plan further experiments to analyze relationships within the Trypeta Group.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.5
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• pp.612-620
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• 2011

This study provides information and suggest a direction for the future research needs of medical attire as a high value-added industry. A total of 69 studies on medical attire were categorized and analyzed for the study subject, study method, and study locations. As per the time period, until the mid-80s, almost no research on medical attire was conducted; however, the number has increased as of late. The distribution by subject was in the order of status investigation, design development, material research, textile design, and sizing system, and especially there was significant focus on wearing status and design development that has rapidly increased over the last 10 years. The distribution by target was in the order of adult patients, elderly patients, doctors, nurses, and juvenile patients. There are many studies on the wearing status and design development of adult patient attire as well as on the textile design and sizing system study for doctor's attire. The distribution by study method was in the order of survey and interview, research and development, dressing evaluation, real resources analysis, and physical property experiments. Through the results of the analysis on the study subject and target, it was found that the wearing status investigation for adult patient attire through a survey and interview was most active. The distribution by study location was in the order of Seoul, Incheon - Gyeonggi, Busan - Ulsan - Gyeongnam, and suggested that a study on patient attire in Dajeon - Chungcheong and Jeonbuk was inadequate.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.5
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• pp.1-12
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• 2013

Road's accidents caused by Ice, snow, Wet of roads surface conditions and weather conditions situations that are constantly occurring. That is, driver's negligence and safe driving ability of individuals due to lack of awareness, and Road management main agent(the government and the public, etc.) due to road conditions, if there is insufficient information. So Related research needs is a trend that is required. In this study, gather Camera(Stereo camera)'s image data, and analysis polarization coefficients and wavelet transform. And unlike traditional single-dimensional classification algorithms as multi-dimensional analysis by using SVM classification techniques, develop an algorithm to determine road conditions. Four on the road conditions (dry, wet, snow, ice) recognition success rate for the detection and analysis of experiments.