• Journal of Animal Science and Technology
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• v.66 no.1
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• pp.125-134
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• 2024

In this research, the growth efficiency, nutritional utilization, fecal microbial levels, and fecal score of weaned pigs were evaluated using therapeutic zinc oxide (ZnO) and zinc aspartic acid chelate (Zn-Asp). In a 42-day feeding trial, 60 weaned pigs ([Yorkshire × Landrace] × Duroc) were arbitrarily allotted (age: 21 days; 7.01 ± 0.65 kg preliminary body weight) to 3 different treatment groups with 5 repetitions (2 male and 2 female piglets) in each pen. The trial had 2 different phases, including 1-21 days as phase 1, and 22-42 days as phase 2. The nutritional treatments were: basal diet as control (CON), basal diet incorporated with 3,000 ppm ZnO as TRT1, and basal diet incorporated with 750 ppm Zn-Asp as TRT2. In comparison to the CON group, the pigs in the TRT1 and TRT2 groups had greater (p < 0.05) body weight on day 42; an average daily gain, and an average daily feed intake on days 22-42. Furthermore, during days 1-42, the average daily gain in the treatment groups trended higher (p < 0.05) than in the CON group. Additionally, the fecal score decreased (p < 0.05) at week 6, the lactic acid bacteria count tended to increase (p < 0.05), and coliform bacteria presented a trend in reduction (p < 0.05) in the TRT1 and TRT2 groups compared to the CON group. However, there was no difference in nutrient utilization (p > 0.05) among the dietary treatments. Briefly, the therapeutic ZnO and Zn-Asp nutritional approaches could decrease fecal score and coliform bacteria, increase lactic acid bacteria, and improve growth efficiency; moreover, Zn-Asp (750 ppm) can perform a comparable role to therapeutic ZnO (3,000 ppm). So we can use Zn-Asp (750 ppm) instead of therapeutic ZnO (3,000 ppm) for the better performance of weaning pigs and the reduction of environmental pollution, as therapeutic ZnO is responsible for environmental pollution.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.4
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• pp.332-339
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• 2014

Face classification has wide applications in security and surveillance. However, this technique presents various challenges caused by pose, illumination, and expression changes. Face recognition with long-distance images involves additional challenges, owing to focusing problems and motion blurring. Multiple frames under varying spatial or temporal settings can acquire additional information, which can be used to achieve improved classification performance. This study investigates the effectiveness of multi-frame decision-level fusion with photon-counting linear discriminant analysis. Multiple frames generate multiple scores for each class. The fusion process comprises three stages: score normalization, score validation, and score combination. Candidate scores are selected during the score validation process, after the scores are normalized. The score validation process removes bad scores that can degrade the final output. The selected candidate scores are combined using one of the following fusion rules: maximum, averaging, and majority voting. Degraded facial images are employed to demonstrate the robustness of multi-frame decision-level fusion in harsh environments. Out-of-focus and motion blurring point-spread functions are applied to the test images, to simulate long-distance acquisition. Experimental results with three facial data sets indicate the efficiency of the proposed decision-level fusion scheme.

• Journal of Environmental Science International
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• v.31 no.12
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• pp.1117-1126
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• 2022

This study analyzed the effect of Corporate Social Responsibility and ESG (Environmental, Social and Governance) score on information asymmetry from the perspective of investors, who are important stakeholders of the company. For KOSPI-listed companies from 2017 to 2020, the effect of ESG overall score and each item score (E, S, G) on the bid-ask spread, which is a proxy for information asymmetry, was confirmed. The results are as follows. First, the increase in corporate CSR activities resulted in lowering information asymmetry of investors. It was found that the higher the ESG score, an indicator of CSR activity, the lower the bid-ask spread, which is a proxy variable for information asymmetry. Second, as a result of analysis using ESG scores for each section, information asymmetry decreased as companies with higher scores in the environmental (E) and social (S) aspects, while the governance (G) score did not have a statistically significant effect. The analysis confirmed that corporate CSR activities can contribute to improving market efficiency by resolving information asymmetry of investors and convergence of the stock market into a state of equilibrium. This means that the company's CSR activities are reflected in the investment decision-making, which suggests that the company should consider the investor as a stakeholder in decision-making related to CSR activities.

• Journal of Multimedia Information System
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• v.6 no.4
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• pp.317-322
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• 2019

The purpose of this study was to develop a self-management program for patients suffering from coronary artery disease (CAD), based on the self-determination theory and subsequently perform a heuristic evaluation by professionals and a quality assessment by users. The program consisted of 6 main menus and 20 submenus. Heuristic evaluation was conducted using eight principles, and as a result, a score of 1 was assigned by a professional for five principles: consistency and mapping, good ergonomics and minimalist design, flexibility and efficiency, anesthetics, and error management. Two professionals gave the principles of ease of input, screen readability, and glanceability a score of 1. In the quality assessment by the users, the system quality category had the highest score of 4.6 out of 5, and information quality had the lowest score of 3.87 out of 5. The overall average score was 4.08, which indicated the general satisfaction regarding the quality of the application. We have reflected on all the recommendations provided by the professionals based on their heuristic evaluation and incorporated them in the program.

• Korean Journal of Agricultural Science
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• v.50 no.3
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• pp.349-356
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• 2023

Garlic powder (GP) was supplemented in the diet to assess the growth efficiency, nutritional retention, and fecal score of growing pigs. In total, 80 growing pigs ([Yorkshire × Landrace] × Duroc) were arbitrarily allotted (22.04 ± 0.56 kg primary average body weight) to two different trial groups with eight repetitions (three males and two females) in each pen for the 42-day trial. The dietary treatment consisted of control (CON, basal diet), which included 0.2% GP (TRT1). Growing pigs fed the GP diet exhibited an increase (p < 0.05) in body weight on day 42 and a lower (p < 0.05) overall feed conversion ratio compared to the CON pigs; however, the average daily gain and feed intake showed no difference (p > 0.05). Additionally, nutrient utilization of dry matter was greater (p < 0.05) in the GP-supplemented diet group than in the CON group. The feeding methods did not adversely affect the nitrogen and energy utilization and the fecal score significantly (p > 0.05). In summary, growing pigs fed the GP diet showed increased growth and nutritional utilization, and no adverse impact on the fecal score; thus, it could be utilized as a stimulant for improved growth performance.

• Journal of Korean Society for Quality Management
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• v.38 no.3
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• pp.463-474
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• 2010

In this study, we evaluate the efficiency of Construction Industry using Data Envelopment Analysis(DEA). Since the Construction Industry has been traditionally operated through competition, it is important to measure the efficiency. In this paper, we empirically analyze the Efficiency of the 50 Korean Construction Industry. In detail, we used the scale of efficiency in order that efficiency cannot be affected by the total technical efficiency of each company and the scale of DMU by applying CCR or BBC model. Also, we analyzed the changes of measurement DEA model score. we adopted the basic DEA, RTS Region and MPSS(Most Productive Scale Size) method which are combined with efficiency measurement model in order to analyze the operational status. Furthermore, by complementing the shortfalls of the scale efficiency value of the DEA Model, RTS Region Model can be recommended to be appropriate in the evaluation of ideal input/output Quantity. In particular, input variables are total assets, construction capacity, the technical staff and output variables are sales volume, operating income. The result of RTS Region and MPSS shows that 9 DMUs of the efficiency frontier in the Construction Industry are analyzed to be relatively efficient DMUs, and 41 DMUs are analyzed to be inefficient DMUs, and finally inefficient DMUs are separated with Region 1 and Region 6.

• Korean Management Science Review
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• v.27 no.1
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• pp.107-116
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• 2010

There are several stage in corporate's life cycle such as foundation, growth, maturity or bankruptcy. A bankruptcy is very important for corporate in the life cycle. Especially, venture business' life cycle is short compare to other type of corporate. A lot of venture businesses have emerged and bankrupted soon in the market. Venture businesses' survival or bankruptcy have been influenced by not only external environment like the rate of exchange, oil price, and foreign exchange crisis but also internal environment such as efficiency, process, human resources, finance and CEO. In this paper, we attempt to examine financial factors and efficiency that influence on the venture businesses' survival and bankruptcy. The more venture businesses have high efficiency score, the more they have high probability of survival.

• The Korean Journal of Health Service Management
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• v.7 no.3
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• pp.225-235
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• 2013

This study purposed to analyze the productivity of regional medical capacity in attracting medical tourist between 2009 and 2011. Data envelopment analysis (DEA) and Malmquist productivity index (MPI) were applied to test the productivity and changes in study periods. The DEA model included a number of doctors, nurses, and beds as input factors, and a number of inpatient and outpatient, and hospital income as output factors. The result of the study were as follow. Jeju had efficiency value of 1 for three years. Seoul, Busan, Daegu, Daejeon, Ulsan, Gyeonggi, Gangwon, Jeonnam, Gyeongbuk, and Gyeongnam showed an increasing trend of efficiency value over three years. Seoul had the efficiency value, 1, in 2011. But, Incheon, Gwangju showed decreasing efficiency score during the study period. MPI showed overall productivity decrease during the period. Further studies will be needed by collecting more time-series data.

• Journal of the Korean Society for Library and Information Science
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• v.36 no.3
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• pp.275-286
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• 2002

This paper estimates the relative efficiency of 29 university libraries in Seoul by data envelopment analysis. We employed library space, staff and book collection as inputs, and book circulation and reader visits as outputs. The result shows that average efficiency score is 0.5248 and only 3 libraries are efficient. Inefficiency is estimated to be 47.52%. Reorganization may be necessary in order to achieve greater efficiency.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.6
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• pp.1629-1639
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• 2016

This study is to estimate the production efficiency of abalone aquaculture and to find its determinants utilizing the survey data of operating expenses in 2015. The first part of the analysis applied both DEA and Super-DEA for the estimation of efficiency of each aquaculture household as DMU. We used wages, feeding costs and area as inputs and annual profits and sales as outputs of the model. The second part of the study applied both Tobit and OLS for the identification of determinants of the efficiency. We investigated cost-ratio, depreciation costs, careers, value of living seeds, cleaning costs of farming ground and a ratio of 1 and 2 year-old abalone at shipment as potential determinants. The estimation results show us that the average technical efficiency, pure technical efficiency, and scale efficiency score turn out to be 72%, 81% and 85% respectively. The Super-BCC and Super-CCR models reveal their average efficiency scores as 81% and 80%. All of the variables used to identify the determinants of the efficiency. The study results suggests that the production efficiency can be improved by cleaning farming ground and hence lowering the death rate of seeds.