• Journal of KIISE:Software and Applications
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• v.36 no.8
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• pp.633-641
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• 2009

In this paper, we proposed a new pattern classifier which can be incrementally learned, be added new class in learning time, and handle with analog data. Proposed pattern classifier has hierarchical structure and the classification rate is improved by using different metric for each levels. Proposed model is based on the Gaussian ARTMAP which is an artificial neural network model for the pattern classification. We hierarchically constructed the Gaussian ARTMAP and proposed the Principal Component Emphasis(P.C.E) method to be learned different features in each levels. And we defined new metric based on the P.C.E. P.C.E is a method that discards dimensions whose variation are small, that represents common attributes in the class. And remains dimensions whose variation are large. In the learning process, if input pattern is misclassified, P.C.E are performed and the modified pattern is learned in sub network. Experimental results indicate that Hierarchical Gaussian ARTMAP yield better classification result than the other pattern recognition algorithms on variable data set including real applicable problem.

• Korean Journal of Digital Imaging in Medicine
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• v.15 no.2
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• pp.39-44
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• 2013

Purpose : The purpose of this study is the magnification rates depending on the area of patient dose (DAP) and glass dosimeter see the change of the dose according to the dose characteristics of low-magnification aims to raise standards. Materials and Method : Direct DR equipment Sonialvision DAR-8000f, Shimadzu was used, the patient entrance dose measurements to the surface of the Rando Phantom of the neck and the abdomen was placed on the Xi unfors. glass dosimeter for measuring organ doses at the same time the Rando Phantom of the major organs in place by inserting a 9 ", 12", 15 ", 17" and 30 seconds for each magnification were measured according in fluoroscopy. DAP meter area of the patient dose was measured. Result : Esophagography at 17" 143% than 9"magnification the average area dose was increased. Organ dose of Esophagography at 17" was decreased 25.32% than 9" magnification. UGI at 17" was increased 129.73% DAP than 9" magnification. Organ dose of UGI at 17" was decreased 23.32% than 9" magnification. Where the major organs of magnification at 17" were decreased(lung -25.96%, stomach -33.09%, spleen -27.81%, liver -4.92%) than 9" magnification. Conclusion : Expected to get better quality image While using the proper magnification, and have recognition that difference Organ doses and DAP meter in fluoroscopy.

• Journal of Korean Society of Forest Science
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• v.99 no.5
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• pp.655-662
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• 2010

Desertification has been expanding with a remarkable speed across the Northeast Asia. Desertification in Northeast Asia significantly influences Korea's economy and environmental health conditions in recent years. For these reasons, a number of non-governmental organizations (NGOs) in Korea have carried out the reforestation projects to combat desertification in China and Mongolia. Several tree plantation projects were implemented in Mongolia and China. The objective of this study was to analyze and evaluate the performance of tree plantation aid projects carried out by Korean NGOs in Mongolia. The performance of tree plantation projects was examined through effectiveness, efficiency, equity and responsiveness of those projects. The performance was analyzed with the survival rate of planted trees and planting cost, the recognitions of Mongolian people. The analysis of the performance showed that the tree plantation cooperation projects carried out by Korean NGOs in Mongolia had comparatively high performance from a larger point of view. Especially, effectiveness and responsiveness of their projects were highly marked in spite of all the difficulties of carrying out the tree plantation. Such a high effectiveness represented the relatively higher survival rates of trees and Mongolian's positive recognition of plantation projects. Furthermore, the responsiveness also turned out to be high with a great satisfaction of the Mongolian people for plantation projects conducted by the Korean NGOs. Survey results indicated that the efficiency and equity of the projects would be increased by promoting the cooperation projects for tree planting throughout Mongolia with reinforcing infrastructures. By comparison between Korean NGOs and Mongolian Government plantation projects, confirmed the importance of sustained financial support and maintenance activities in the plantation sites.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.2
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• pp.1-8
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• 2011

In this paper, we propose a haptic display system that can convert Braille and tactual map(braille map) to tactile information recognizable through sense of touch almost in real-time. The proposed system consists of a haptic display hardware device, which actually delivers tactile signal to visually impaired people, and a device control software program, which converts Braille and tactile information to tactile signal and transfers it to the hardware device. Experimental evaluations of the proposed system were performed with 10 visually impaired persons. Experimental results show that the proposed system can provide similar Braille recognition rate and speed to those of existing Braille information devices. In addition, the proposed system converts tactile information to tactile signal under maximum 1.1 seconds, so that it can provide graphic information in almost real-time which is not possible with existing tactile devices, such as Braille printer.

• Journal of the Korean Home Economics Association
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• v.43 no.2
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• pp.127-142
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• 2005

The purpose of this study was to investigate the consciousness of dietitians who provide the basic data for the utilization of traditional food in school food service. The conclusions of this study are as follows. The rate of recognition and awareness of traditional Korean food as the pursuit of learning about socio-demographic was generally high, and was remarkable in the elderly dietitians who have worked for a long term. The way how they learned about traditional Korean food was through media, school education, books, and home education, in order. Also, the dietitians who are relatively older or have worked for a long term have pride in traditional food because it suited their taste and was our traditional food. However, it was difficult to provide the food to school food service because the cooking process is complex, and students don's prefer it. Accordingly, improvements of recipe with use of traditional Korean food in school food service are urgently required. The dietitians in Gwangju City in Jeonnam province felt the need to make a standard traditional Korean food recipe, and the demand was especially the strongest among dietitians who have worked from 6 to 10 years. They suggested that the standard recipe should be made by the Korean Dietetic Association, dietitians working at school, Ministry of Education & Human Resource Development, professors majoring in Food & Nutrition, and Ministry of Health & Welfare in order.

• Maxillofacial Plastic and Reconstructive Surgery
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• v.16 no.1
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• pp.104-111
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• 1994

Necrotizing fascitis is a severe soft tissue infection characterized by extensive necrosis of superficial fascia, suppurative fascitis, vascular thrombosis, widespread undermining of surrounding tissues. Associated systemic problems are widespread undermining of surrounding tissues, Associated systemic problems are common, with chronic alcoholism and diabetes being most prominent. Most commonly this disease presents in the extremities, trunk, and perineum. Necrotizing fascitis of dental origing is rare and its fulminating clinical course is not well documented in the dental literature. The present report is a case of necrotizing fascitis following vital extirpation of the pulp in a patient with uncontrolled diabetes mellitus and liver cirrhosis. Originally throught to be caused by hemolytic streptococcus organism or stphylococcus aureus, advances in anaerobic culturing have shown it to be a synergistic bacterial infection involving aerobic and ovligate anaerobes. it is relatively rare in relatively rare in haea and neck regions. If it was not diagnosed and treated in early stages, necrotizing fascitis can be potentially fetal, with a mortality rate approaching 40%. It's treatment requires early recognition, prompt and aggressive surgical debriment and proper supportive cares, such as, antibiotic therapy, fluid resuscitation and correction of metabolic and electrolyte disorder, resolving of the underlying systemic disease. Recently, we experienced two cases of necrotizing fascitis in cervicofacial region, One patient was 60 years old male with uncontrolled Diabetes Mellitus and other patient was 48 years old with steroid therapy during 30 years. Local surgical wound healing was successful but, patients were died after admission, because of lung abscess, gastrointestinal bleeding, septic shock and respiration hold.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.44 no.11
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• pp.25-32
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• 2007

In this paper, we propose the Group Separation Algorithm for RFID Tag Anti-Collision. We study the RFID Tag anti-collision technique of ALOHA and the anti-collision algorithm of binary search. The existing technique is several problems; the transmitted data rate included of data, the recognition time and energy efficiency. For distinction of all tags, the Group Separation algorithm identify each Tag_ID bit#s sum of bit #1#. In other words, Group Separation algorithm had standard of selection by collision table, the algorithm can reduce unnecessary number of search even than the exisiting algorithm. The Group Separation algorithm had performance test that criterions were reader#s number of repetition and number of transmitted bits for understanding tag. We showed the good performance of Group Separation algorithm better than exisiting algorithm.

• Journal of Forest and Environmental Science
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• v.28 no.4
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• pp.254-262
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• 2012

The purposes of the research in related to FSC in JuJe experimental forests (JJEFs) is to make pre and post socio-economic comparisons and play an important role of FSC, and recognition change to FSC timbers and to make an analysis to consumers' needs. As the results of onsite survey in 2005, respondents show a high awareness of SFM and FSC in comparisons of 2004, and the JJEFs play a critical role to make SFM and FSC advertisement worldwide, such as consumers' satisfaction to SFM and FSC is high. Hence provision of JJEF information such as job creation and socio-economic impacts to stockholders could make their satisfaction improving. Most of respondents to the FSC of JJEF represent a positive rate while low awareness to FSC timber is represented. Therefore, necessary information about JJEF FSC with forest management, process and consumption pattern of FSC is required into citizens. The final results prove that FSC effects such as 1.3 billion won direct additional benefits in terms of socio-economic aspects including environmental benefits and job creation and economic effects are enough to offset 1.3 billion won additional costs.

• Journal of Advanced Navigation Technology
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• v.24 no.3
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• pp.192-197
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• 2020

Recently, the technologies related to autonomous drive has studying the goal for safe operation and prevent accidents of vehicles. There is radar and camera technologies has used to detect obstacles in these autonomous vehicle research. Now a day, the method for using LiDAR sensor has considering to detect nearby objects and accurately measure the separation distance in the autonomous navigation. It is calculates the distance by recognizing the time differences between the reflected beams and it allows precise distance measurements. But it also has the disadvantage that the recognition rate of object in the atmospheric environment can be reduced. In this paper, point cloud data by triangular functions and Line Regression model are used to implement measurement algorithm, that has improved detecting objects in real time and reduce the error of measuring separation distances based on improved reliability of raw data from LiDAR sensor. It has verified that the range of object detection errors can be improved by using the Python imaging library.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.3
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• pp.98-110
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• 2018

In this paper, we propose both Dense grid model and Anchor model to improve the recognition rate of dynamic objects. Two experiments are conducted to study the performance of two proposed CNNs models (Dense grid model and Anchor model), which are to detect dynamic objects. In the first experiment, YOLO-v2 network is adjusted, and then fine-tuned on KITTI datasets. The Dense grid model and Anchor model are then compared with YOLO-v2. Regarding to the evaluation, the two models outperform YOLO-v2 from 6.26% to 10.99% on car detection at different difficulty levels. In the second experiment, this paper conducted further training of the models on a new dataset. The two models outperform YOLO-v2 up to 22.40% on car detection at different difficulty levels.