• Journal of Animal Science and Technology
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• v.65 no.3
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• pp.490-510
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• 2023

Feed safety is needed to produce and provide safe animal feeds for consumers, animals, and the environment. Although feed safety regulations have been set for each country, there is a lack of clear feed safety regulations for each livestock. Feed safety regulations are mainly focused on heavy metals, mycotoxins, and pesticides. Each country has different safe levels of hazardous materials in diets. Safe levels of hazardous materials in diets are mostly set for mixed diets of general livestock. Although there is a difference in the metabolism of toxic materials among animals, the safe level of feed is not specific for individual animals. Therefore, standardized animal testing methods and toxicity studies for each animal are needed to determine the correct safe and toxic levels of hazardous materials in diets. If this goal is achieved, it will be possible to improve livestock productivity, health, and product safety by establishing appropriate feed safety regulations. It will also provide an opportunity to secure consumer confidence in feed and livestock products. Therefore, it is necessary to establish a scientific feed safety evaluation system suitable for each country's environment. The chance of outbreaks of new hazardous materials is increasing. Thus, to set up appropriate toxic levels or safe levels in feed, various toxicity methods have been used to determine toxic levels of hazardous materials for humans and animals. Appropriate toxic testing methods should be developed and used to accurately set up and identify toxicity and safe levels in food and feed.

• Journal of Korean Society of Rural Planning
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• v.29 no.4
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• pp.105-116
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• 2023

In this study, evaluation indicators for quantitative and qualitative indicators were presented by resetting the evaluation indicators for the selection of the living conditions renovation project for vulnerable residential areas by reflecting the results of expert importance. The appropriateness of the project selection evaluation index was reviewed by comparing the results of the expert AHP importance survey to make the project sustainable and to discover vulnerable villages. Evaluation items were constructed based on the guidelines for selecting the target site, and AHP importance evaluation was performed using this evaluation item as a proxy variable. Based on the data collected from 152 villages in Gimhae-si for case studies, the evaluation results were derived by applying the existing guideline evaluation indicators and evaluation indicators reflecting the importance proposed in this study. As a result of the study, Overall, there was a positive correlation between the results of the existing guideline evaluation and the results of the AHP importance survey, but in detail, there is a difference in the results evaluated by the two evaluation methods. In the future, if the scope of participating experts is expanded to supplement the importance evaluation, and the evaluation grade is set by analyzing quantitative data from Gyeongsangnam-do or rural areas nationwide, local governments and others will use this evaluation index as basic data when promoting the project.

• Journal of KIISE:Software and Applications
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• v.37 no.6
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• pp.455-463
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• 2010

In this paper, we present an approach to sentence boundary detection for web documents that builds on statistical-based methods and uses rule-based correction. The proposed system uses the classification model learned offline using a training set of human-labeled web documents. The web documents have many word-spacing errors and frequently no punctuation mark that indicates the end of sentence boundary. As sentence boundary candidates, the proposed method considers every Ending Eomis as well as punctuation marks. We optimize engine performance by selecting the best feature, the best training data, and the best classification algorithm. For evaluation, we made two test sets; Set1 consisting of articles and blog documents and Set2 of web community documents. We use F-measure to compare results on a large variety of tasks, Detecting only periods as sentence boundary, our basis engine showed 96.5% in Set1 and 56.7% in Set2. We improved our basis engine by adapting features and the boundary search algorithm. For the final evaluation, we compared our adaptation engine with our basis engine in Set2. As a result, the adaptation engine obtained improvements over the basis engine by 39.6%. We proved the effectiveness of the proposed method in sentence boundary detection.

• Proceedings of the IEEK Conference
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• 2000.06d
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• pp.127-130
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• 2000

In this paper, we explore the possibility to use wavelet decomposition based on modified octave structured 5-level filter banks as a set of features for speech recognition. The HMM (Hidden Markov Model) is used as a recognizer 〔l〕. We compared the performance of the wavelet decomposition with the mel-cepstrum and LPC cepstrum. Experimental results show favorable results.

• Proceedings of the KOR-KST Conference
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• 2007.02a
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• pp.384-390
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• 2007

• Proceedings of the Korean Society of Toxicology Conference
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• 2003.10b
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• pp.24-25
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• 2003

Genotoxicity plays an important role for the safety evaluation of chemicals. When the carcinogenicity is evident on a chemical, the threshold can be estimated only when genotoxic mechanism does not operate for carcinogenesis otherwise threshold cannot be set. Without genotoxic mechanism- non-genotoxic carcinogen-threshold can be estimated but with genotoxic mechanism-genotoxic- carcinogen-it cannot be estimated.(omitted)

• Asian-Australasian Journal of Animal Sciences
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• v.19 no.9
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• pp.1225-1228
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• 2006

A total of 1,367 first lactation records of daughters of 81 sires, having 5 or more progeny were used to evaluate sires by 3 different methods viz., least squares (LS), best linear unbiased prediction (BLUP) and derivative free restricted maximum likelihood (DFREML) method. The highest and lowest overall average breeding value of sires for first lactation 305 days or less milk yield was obtained by BLUP (1,520.72 kg) and LS method (1,502.22 kg), respectively. The accuracy, efficiency and stability of different sire evaluation methods were compared to judge their effectiveness. The error variance of DFREML method was lowest ($191,112kg^2$) and its coefficient of determination of fitting the model was highest (33.39%) revealing that this method of sire evaluation was most efficient and accurate as compared to other methods. However, the BLUP method was most stable amongst all the methods having coefficient of variation (%) very near to unadjusted data (18.72% versus 19.89%). The higher rank correlations (0.7979 to 0.9568) between different sire evaluation methods indicated that there was higher degree of similarity of ranking sires by different methods ranging from about 80 to 96 percent. However, the DFREML method seemed to be the most effective sire evaluation method as compared to other methods for the present set of data.

• Journal of the Korean Society for Library and Information Science
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• v.38 no.3
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• pp.103-118
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• 2004

Much investment has been to improve quality of web service as internet service is in pursuit of equilibrium. Web site of electronic library which offers various information has to be set a new standard for improving users service satisfaction by developing objsctive evaluation system. In this research we acquired standard of evaluation parameter such as contents, design, navigation, feedback, reference, privacy by analyzing domestic web site of electronic library We evaluated constructed model of usability evaluation using AHP(Analytic Hierarchy Process). We develop 'digital library web site evaluation model' based systematic analysis through polling category selected as evaluation guide.

• Journal of Energy Engineering
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• v.22 no.2
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• pp.90-95
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• 2013

The paper is aimed at evaluation method for technology-focused professional ESCO. We set up some premise about the evaluation indicators, there are such as the financial soundness, energy savings performance excellence, customer satisfaction, source technology vendor's participation, and guaranteed savings contract. The evaluation indicators consist of the evaluation of expertise (40points), management state (15points), customer satisfaction (20points), technical skills (25points), and detailed indicators were determined. We can apply technology categories such as lighting, cogeneration, process improvement, waste heat recovery, cooling & heating equipments.

• IEIE Transactions on Smart Processing and Computing
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• v.3 no.4
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• pp.195-204
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• 2014

This paper presents the depth evaluation for object detection by automated assembling robots. Pattern distortion analysis from a structured light system identifies an object with the greatest depth from its background. An automated assembling robot should prior select and pick an object with the greatest depth to reduce the physical harm during the picking action of the robot arm. Object detection is then combined with a depth evaluation to provide contour, showing the edges of an object with the greatest depth. The contour provides shape information to an automated assembling robot, which equips the laser based proxy sensor, for picking up and placing an object in the intended place. The depth evaluation process using structured light for an automated electronics assembling robot is accelerated for an image frame to be used for computation using the simplest experimental set, which consists of a single camera and projector. The experiments for the depth evaluation process required 31 ms to 32 ms, which were optimized for the robot vision system that equips a 30-frames-per-second camera.