• Journal of Korea Technology Innovation Society
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• v.13 no.2
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• pp.252-281
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• 2010

In this paper, we analyze the result of the Technology Level Evaluation of 'Biochip and biosensor (BB) Technology' consisted of 3 sub-categorized technologies; biochip sensing (BS), lab on a chip and high-efficient customized health care technology. As an analysis tool, authors used a delphi (a repeated survey) and dynamic methodology with technology growth model to overcome limits of previous evaluations. As a result, levels of BB were evaluated 51.5% (Korea) and 75.1% (US), and the technology gap between two countries was 6.1 yrs. In 2013, these levels were expected to change to 60.1% (Korea), 78.4% (US) and 4.3 yrs, respectively. In comparison with other biotechnology, the gap of BB was smaller and expected to catch up with US faster. In the case of sub-categorized technologies, they showed the smallest gap and would have faster catch-up speed than other sub-categorized technologies in the Biotechnology field. Based on the result of the survey, relative superiority of BB in Korea was originated from competent researchers and research fund, but weak basic science would be weak points. We think that BB's characteristic as an emerging technology and concentrated research activities on BB are additional strong points. This research proposes the supporting and supplemented points to promote the BB in Korea.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.438-441
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• 2007

Recently, due to molecular biology and engineering technology, DNA microarray makes people watch thousands of genes and the state of variation from the tissue samples of living body. With DNA Microarray, it is possible to construct a genetic group that has similar expression patterns and grasp the progress and variation of gene. This paper practices Cluster Analysis which purposes the discovery of biological subgroup or class by using gene expression information. Hence, the purpose of this paper is to predict a new class which is unknown, open leukaemia data are used for the experiment, and MCL (Markov CLustering) algorithm is applied as an analysis method. The MCL algorithm is based on probability and graph flow theory. MCL simulates random walks on a graph using Markov matrices to determine the transition probabilities among nodes of the graph. If you look at closely to the method, first, MCL algorithm should be applied after getting the distance by using Euclidean distance, then inflation and diagonal factors which are tuning modulus should be tuned, and finally the threshold using the average of each column should be gotten to distinguish one class from another class. Our method has improved the accuracy through using the threshold, namely the average of each column. Our experimental result shows about 70% of accuracy in average compared to the class that is known before. Also, for the comparison evaluation to other algorithm, the proposed method compared to and analyzed SOM (Self-Organizing Map) clustering algorithm which is divided into neural network and hierarchical clustering. The method shows the better result when compared to hierarchical clustering. In further study, it should be studied whether there will be a similar result when the parameter of inflation gotten from our experiment is applied to other gene expression data. We are also trying to make a systematic method to improve the accuracy by regulating the factors mentioned above.

• Journal of the Korean Society of Food Culture
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• v.33 no.2
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• pp.142-148
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• 2018

In this study, Seolgi Tteok was made in order to increase consumption of Geuk, which possesses numerous nutritional advantages, and its optimum content as a new food coloring for rice cake was determined. Quality characteristics and quantitative description analysis (QDA) of Seolgi Tteok, in which Geuk was added at 0, 4, 8, and 12%, was conducted. Consumer acceptability test was also conducted. As the amount of added Geuk increased, moisture content of Seolgi Tteok increased as well. Brightness (L-value) was the highest in the control group, and more Geuk resulted in higher values of red index (a-value) and yellow index (b-value), which corresponded to the results of the sensory evaluation. As result of the mechanical texture measurement, only adhesiveness and resilience show a significant difference. As a result of the QDA, 17 sensory characteristic terms were assessed. Among them, only 13 showed a significant difference. Among the different sensory characteristics, almost all of them except for taste characteristics were significantly influenced by the amount of Geuk. The aroma and taste of Geuk were not largely influenced. It can be suggested that Geuk is not a factor that strongly influences flavor. In conclusion, Geuk does not have a strong influence on the taste or aroma of Seolgi Tteok but does on color characteristics. It can be suggested that Geuk is qualified as a coloring material for food, and the reasonable addition amount is 8%. As a result of this research, Geuk can be considered as a coloring material for other types of rice cake, traditional Korean sweets, and even confectioneries as well as for Seolgi Tteok. This implies that Geuk can be utilized to develop various new products as a coloring material with abundant nutritional content, which will contribute to the promotion of Geuk consumption.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.21 no.5
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• pp.29-37
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• 2018

Biodiversity refers to the diversity of organisms originating from all sources, including terrestrial ecosystems, aquatic ecosystems, and complex ecosystems and it is considered to be the standard of the area to be preserved and protected. So The Importance of environmental assessment for biodiversity conservation is increasing and International efforts to quantify biodiversity and to develop indices have been made, but there are insufficient researches on the use of biomass databases and their quantification in Korea. In this study, the biodiversity map was constructed using the 3rd National Ecosystem Survey Mammal Data with three spatial units(Administrative Area, 1:5,000 index map, hexagonal lattice). and the difference of map constructed by spatial unit was suggested to help research on quantification and evaluation of biodiversity in the future. As a result of the study, biodiversity index for the same area varied according to the spatial unit and overall average and standard deviation were different too. Therefore it is necessary to utilize appropriate spatial unit considering the suitability and purpose of quantification rather than using specific unit. It also showed the necessity of establishing a standard for biodiversity index as a result of comparative analysis with ecosystem and nature map. Based on this research, comprehensive efforts should be made for the sustainable development of the country through further research and institutional improvement for quantification and evaluation of biodiversity, set standards.

• Journal of Korean Society of Rural Planning
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• v.28 no.1
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• pp.57-69
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• 2022

Crop classification is very important for estimating crop yield and figuring out accurate cultivation area. The purpose of this study is to classify crops harvested in fall in Idam-ri, Goesan-gun, Chungcheongbuk-do by using unmanned aerial vehicle (UAV) images and support vector machine (SVM) model. The study proceeded in the order of image acquisition, variable extraction, model building, and evaluation. First, RGB and multispectral image were acquired on September 13, 2021. Independent variables which were applied to Farm-Map, consisted gray level co-occurrence matrix (GLCM)-based texture characteristics by using RGB images, and multispectral reflectance data. The crop classification model was built using texture characteristics and reflectance data, and finally, accuracy evaluation was performed using the error matrix. As a result of the study, the classification model consisted of four types to compare the classification accuracy according to the combination of independent variables. The result of four types of model analysis, recursive feature elimination (RFE) model showed the highest accuracy with an overall accuracy (OA) of 88.64%, Kappa coefficient of 0.84. UAV-based RGB and multispectral images effectively classified cabbage, rice and soybean when the SVM model was applied. The results of this study provided capacity usefully in classifying crops using single-period images. These technologies are expected to improve the accuracy and efficiency of crop cultivation area surveys by supplementing additional data learning, and to provide basic data for estimating crop yields.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.12
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• pp.1871-1876
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• 2010

The reduction of vehicle interior noise has been the main interest of NVH engineers. The driver's perception of the vehicle noise is strongly affected by the psychoacoustic characteristics of the noise and the SPL. The existing methods to evaluate the SQ for vehicle interior noise are linear regression analysis of subjective SQ metrics by statistics and the estimation of subjective SQ values by neural network. However, these methods strongly depend on jury tests, this leads to difficulties. To reduce the important of the jury tests, we suggest a new method using the Mahalanobis distance for SQ evaluation. And, the optimal characteristic values that influenced the results of sound quality evaluation on the basis by main effect. Finally, we developed a new method based on the MD method to evaluate sound quality. The result of noise evaluation revealed that the sound quality could be well improved by changing the structural characteristics of the vehicle.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.64-72
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• 2020

DELAY M9 is an ammunition used in combination with the fuse M904 and M905 of aviation drop-off ammunitions. Due to the properties of the ammunition, the performance or safety of the ammunition cannot be verified until it is used, because of its one-time function, no reproduction and is finally destroyed at the same time. Long-term storage of ammunition in use by the army is inevitable due to its operational characteristics, and a test evaluation is required to maintain and verify the performance of stored ammunition for immediate use in case of emergency. This paper estimates the reliability and shelf life of the DELAY M9 ammunition by using the test data obtained through ASRP performed from the past to the present. The result of the performance evaluation test for the currently stored DELAY M9 ammunition is analyzed, and the reliability and shelf-life of the stored ammunition are assessed by examining the number of defects according to the storage time and production year. This research result can be used to manage the stored ammunition, such as ASRP planning and evaluation test, result analysis and munition state decision.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.178-185
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• 2018

A self-report evaluation is used to prevent driving accidents by elderly drivers. The majority of normal older adults may have mild cognitive impairment with reduced cognitive function. These depressed cognitive functions may be variables that affect the performance of elderly drivers. This study confirmed the cognitive functions that affect the self-reported evaluation for elderly drivers with mild cognitive impairment. Based on the results of the Korean Version of the Montreal Cognitive Assessment, 103 elderly drivers were classified into mild cognitive impairment and normal groups of elderly drivers. The Korean-Drivers 65 plus scores used in the self-reported evaluation of the two groups were compared, and the cognitive functions affecting the evaluation were analyzed. Results found the mild cognitive impairment group showed a significantly lower evaluation performance compared to the normal group, and the self-reported evaluation results of the elderly driver with mild cognitive impairment showed a significant correlation between visuoconstructional skills and delayed recall. As a result of regression analysis, the visuoconstructional skill was identified as the cognitive function with the strongest influence on the self-reported evaluation performance. Delayed recall was also found to have a partial effect but not at the level of altering the self-reported evaluation results of the elderly driver with mild cognitive impairment.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.15 no.4
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• pp.369-380
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• 2017

In order to manage the uncertainty about the evaluation and analysis of the human intrusion scenario of the Gyeongju Low and Intermediate Level Radioactive Waste(LILW) disposal facility, the calculation result by the GENII code was assessed using the RESRAD code, which was developed to evaluate the radiation effects of contaminated soil. The post-drilling scenario was selected as a human intrusion scenario into the near-surface disposal facility to analyze the uncertainty of the modeling by identifying any limitations in the simulation of each code and comparing the evaluation results under the same input data conditions. The results revealed a difference in the migration of some nuclides between the codes, but confirmed that the dose trends at the end of the post-closure control period were similar for all exposure pathways. Based on the results of the dose evaluation predicted by RESRAD, sensitivity analysis on the input factors was performed and major input factors were derived. The uncertainty of the modeling results and the input factors were analyzed and the reliability of the safety evaluation results was confirmed. The results of this study can be applied to the implementation 'Safety Case Program' for the Gyeongju LILW disposal facility.

• Journal of the Korea Safety Management & Science
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• v.15 no.2
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• pp.255-262
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• 2013

Due to the competition between the various professional events, it is imperative for the team's management to improve efficiency by removing the inefficiencies of the professional team in order to gain a competitive edge. This study use different Data Envelopment Analysis (DEA) models to measure the efficiency of professional sport organizations. In this mathematical-analytical study, this study first reviews the related literature to analyze the input/output variables. In the end, the variables were detected and the data for this study were gathered from the Korean Basketball League (KBL). While previous studies examine relative efficiency of Korean Professional baseball teams by using CCR model, this study fully utilize the DEA method to investigate Korean professional sports organizations' operating problem. Thus, this study propose full results of DEA analysis such as efficiency score (overall, technical, and scale efficiency), slacks in inputs and outputs of inefficient organizations, Malmquist index) As a result, this study provides not only the exact productivity information of a team and a way of improving a firm's productivity with a decision maker.