Objective: Better feed efficiency can be achieved by selecting rabbit genotypes with lower residual feed intake (RFI) under high ambient temperatures. Methods: Two genotypes of rabbits (Jabali, Saudi local breed and imported, Spanish V-line) were used to derive RFI and to investigate the relationship between RFI and productive traits. In total, 250 animals (125 each) were housed in individual wire mesh cages in a semi-closed rabbitry. Growth performance, feed criteria, carcass evaluation, biochemical blood analysis, and immune responses were determined. Results: Superiority in growth performance, feed efficiency, carcass characteristics, and cellular immunity was recorded in the Jabali breed compared to the V-line genotype. According to regression analysis, a significant effect of daily body weight gain was found, upon computing the expected feed intake in both genotypes. Moreover, mid-body weight0.75 had a significant effect only in the Jabali breed. Positive correlation coefficients between RFI and dry matter feed intake or feed conversion ratio were found. The same trend in this relationship between RFI and productive traits was observed in some cases for both genotypes. An opposite trend in correlations was observed in the studied genotypes for some traits. Conclusion: The results suggest that the relationship between RFI and productive traits must be taken into consideration in rabbit breeding programs under the prevailing environment. However, further studies are required to investigate the effect of rabbit genotype and environmental factors on computing RFI.
International Journal of Advanced Culture Technology
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v.10
no.1
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pp.274-283
/
2022
Korea is facing a number difficulties arising from rising housing prices. As 'housing' takes the lion's share in personal assets, many difficulties are expected to arise from fluctuating housing prices. The purpose of this study is creating housing price prediction model to prevent such risks and induce reasonable real estate purchases. This study made many attempts for understanding real estate instability and creating appropriate housing price prediction model. This study predicted and validated housing prices by using the LSTM technique - a type of Artificial Intelligence deep learning technology. LSTM is a network in which cell state and hidden state are recursively calculated in a structure which added cell state, which is conveyor belt role, to the existing RNN's hidden state. The real sale prices of apartments in autonomous districts ranging from January 2006 to December 2019 were collected through the Ministry of Land, Infrastructure, and Transport's real sale price open system and basic apartment and commercial district information were collected through the Public Data Portal and the Seoul Metropolitan City Data. The collected real sale price data were scaled based on monthly average sale price and a total of 168 data were organized by preprocessing respective data based on address. In order to predict prices, the LSTM implementation process was conducted by setting training period as 29 months (April 2015 to August 2017), validation period as 13 months (September 2017 to September 2018), and test period as 13 months (December 2018 to December 2019) according to time series data set. As a result of this study for predicting 'prices', there have been the following results. Firstly, this study obtained 76 percent of prediction similarity. We tried to design a prediction model of real estate transaction price with the LSTM Model based on AI and Bigdata. The final prediction model was created by collecting time series data, which identified the fact that 76 percent model can be made. This validated that predicting rate of return through the LSTM method can gain reliability.
International conference on construction engineering and project management
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2011.02a
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pp.561-566
/
2011
In general, the early stage of urban renewal such as preparing a master plan and processing administrative works including planning permission are conducted by local governments in Korea. The local governments need to review the status of projects that are undergone in other local governments' territories. However, no integrated information system to manage information to this end at the level of nation exists in Korea. If the system would be developed, it may support central government to obtain information on required resources at the national level. In addition, local governments can gain guidance on the process and recognize potential problematic situations from others experience. The system should include functions to collect data on project summary, cost and schedule of projects according to local governments. The expected effects from using the information system are as following. First, information generated from project practice become more credible on account of management at the national level. Because the authorized party such as system administrative agents of governments are responsible for collecting and managing data. Second, the unified information system with no regard to the place where projects progresses reduces the efforts for accumulating reference data for aiding local governments decision making by providing appropriate information timely. Also, enhanced information accessibility for stakeholders make the project process clear. Finally, oversight management is enforced with visualization technology adopted in the system, presenting master plan and mass model including information on usage by floors and progressing information graphically. Ultimately, potential challenges can be anticipated by considering records accumulated from other local governments' projects. This paper presents concept, functionalities, and architecture of information system enabling to manage data from individual projects and aggregate those for oversight management for local and central governments. As a part of systems analysis, general requirements of briefing system for governments and necessary data fields to this end are identified.
The majority of civil aviation accidents are caused by human factors, and especially for rotary-wing aircraft, accidents often occur in situations where pilots unexpectedly or unintentionally enter into instrument meteorological conditions (IIMC). This research analyzed the error rates of rotary-wing aircraft pilots under low visibility conditions from various angles to gain insights into flight characteristics and to explore measures to reduce accidents in IIMC situations. The occurrence rate of errors by pilots under low visibility conditions was examined using a flight simulator equipped with motion, with 65 pilots participating in the experiment. Flight data obtained through the experiment were used to aggregate and analyze the number of errors under various conditions, such as reductions in flight visibility, the presence or absence of spatial disorientation, and the pilot's qualifications. The analysis revealed peculiarities in flight characteristics under various conditions, and significant differences were found in the rate of error occurrence according to the pilot's qualification level, possession of instrument flight rules (IFR) qualifications, and during different phases of flight. The results of this research are expected to contribute significantly to the prevention of aircraft accidents in IIMC situations by improving pilot education and training programs.
Journal of Korean Library and Information Science Society
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v.55
no.1
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pp.215-237
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2024
This study proposes a selection plan for research entities and PIDs and a strategy for building and operating a PID consortium based on a survey of advanced cases of research entities and PID operations in major countries such as the United Kingdom, Germany, Canada, Japan, China, and Australia. The criteria for selecting research entities and PIDs are 'research life cycle' and 'PID infrastructure maturity'. Based on the two selection criteria, it is proposed to prioritize research entity-PID pairs such as 'Researcher-ORCID', 'Publication-DOI', 'Data-DOI', 'Institution-ROR', 'Grant-DOI', and 'Project-RAiD' and expand to other research entities and PIDs in the emerging stage. The strategy for establishing and operating a PID consortium should encourage the participation of various PID stakeholders, identify the latest trends through collaborative networks with domestic and international PID organizations, lead education and outreach activities to raise awareness and increase utilization of PID, and secure policy support and financial stability. This is expected to lay the foundation for domestic research entities to gain visibility and accessibility at the global level.
This study aimed to gain valuable insights into the performance and user satisfaction of applications (apps) through a thorough analysis of Instagram user reviews collected from Google Play. The study utilized text mining and sentiment analysis techniques and systematically identified emotions and opinions embedded in user reviews to deeply understand the areas of improvement and user experiences of the app. It analyzes how Instagram reviews reflect the diverse experiences of users and how they reveal the strengths and weaknesses of the app. For this purpose, sentiment analysis using the naive Bayes algorithm was conducted, and the results were expected to aid in the improvement of Instagram's services. In addition, the study aimed to assist developers in better understanding and utilizing user feedback, ultimately contributing to enhanced user satisfaction. This study explored the complex relationship between social media usage patterns and user opinions by seeking ways to provide a better user experience through these insights.
Journal of the Korean Society of Food Science and Nutrition
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v.39
no.7
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pp.1064-1072
/
2010
The objectives of this study were to gain an overview of practices and effect evaluation of oven utilization at school foodservice facilities in Daegu and Gyeongbuk province. Out of 147 dieticians, who responded for questionnaires, 44 dieticians used the oven and 103 dieticians did not use the oven. All statistical analyses were conducted with the SPSS 14.0 statistical software program. With regard to the style of foodservice system, 74.4% were urban, 23.3% were rural, and 2.3% were remote country. Also, 23.3% of school foodservices produced meals by batch cooking. According to the results of the expected effect and using effect analysis for 27 items, the average of evaluation score about expected effect was 1.64 points and that of using effect was 1.61 points. Both expected effect and using effect had higher scores than average points in 13 items out of 27 items. Using effect had higher scores than expected effect in 4 items. In conclusion, using ovens could help to increase foodservice satisfaction of students at school foodservice, because it can improve the various cooking methods and the food safety management. Therefore, it is important to modernize and automate cooking equipment for quality improvement of school foodservice operations.
Yun, Yeong Sik;Seong, Hye Jin;Zhang, Qi Man;Chung, Sang Uk;Lee, Ga Eul;Park, Jae Hyun;Jang, Se Young;Lee, Jin wook;Kim, Kwan woo;Moon, Sang Ho
Journal of The Korean Society of Grassland and Forage Science
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v.38
no.2
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pp.120-125
/
2018
The study was conducted to determine effects on forage productivity, feed value, grazing intensity and livestock productivity in growing Korean native female goat grazing in native pasture. Its with average initial body weight of $14.10{\pm}3.6kg$ and an average age of 4 months were used in this study. Dry matter content of native pasture was the highest at $33.48{\pm}2.56%$ in June, and the content was significantly increased from spring to autumn (p<0.05). Crude protein was maintained between 11% and 12% on average. Nutrient content was maintained at a certain level in native pasture, but there were differences due to the different types of wild grasses produced in each season. The productivity of forage crops increased from June, but decreased after August and showed a characteristic of grassland where productivity decreased rapidly in spring and autumn. The average grazing intensity are 39 head/ha. Black goat average daily gain was 80.2g/d. The stable weight gain in grazing is that the nutrient requirement of the black goat was met by supplementing the concentrated feed during grazing. study, can be expected that the productivity of livestock can be increased through the proper feeding of supplementary feed and maintenance of grazing intensity.
This study was carried out to investigate the effects of wormwood (Artemisia sp.) addition on the growth performance, nutrients utilization and abdominal fat deposition of broiler chickens. Two hundred twenty five and two-day old Arboracre strain male commercial broiler chicks were distributed to 5 treatments with wormwood supplementation levels; C(O%), $T_1$ (1%), $T_2$ (3%), $T_3$ (5%), and $T_4$ (10%) and with 3 replications each with 5 birds for five weeks. Body weight gain during the experiment was improved in $T_1$ (1723.0g) compared with that of $T_3$ (1557.7g) and $T_4$ (1450.7g) (P<0.05). Feed intake was significantly (P<0.05) increased as the levels of wormwood addition increased (C: 2653.8g, T1: 2852.0, $T_2$: 2900.3, $T_3$: 2900.7g, T4: 2954.7g). Feed conversion rate (feed/gain) was significantly (P<0.05) increased as the levels of wormwood addition increased (C: 1.55, $T_1$: 1.66, $T_2$: 1.70, $T_3$: 1.86, $T_4$: 2.04). The days reaching to 2.0kg of body weight were expected to be 43.2 days in control, whereas those of group T1 were reduced to 42.6 days by 0.6 day from control. Nutrient utilization and abdominal fat deposition in the experiment were significantly decreased (P<0.05) and small intestine contents in the broilers was significantly increased (P<0.05) as the levels of wormwood addition increased. Therefore, although there was no significant improvement for the performance of broiler chickens with the dietary supplementation of wormwood meal, less than 1% addition of wormwood to broiler diets might have beneficial for human health by reducing the abdominal fat deposition of the broiler chicknens.
This study was conducted to determine the effects of different types of hilly pasture grazing on growth and meat quality in organic Korean black goats, and to obtain basic data for the production of organic goats. A total of 40 goats with similar age and BW were equally allocated to four dietary treatments in a randomized complete block design. Dietary treatments included grazing types of four different hilly pastures; T1: forages types, T2: organic forages types, T3: native plants types, and T4: browse types, respectively. The trial lasted for 174 days from 15th of May to 5th of November, 2007 in Livestock Genetic Resources Experiment Station, National Institute of Animal Sciences. At the end of trial, all animals were slaughtered to analyze carcass characteristics and meat quality. Average daily gain was significantly (p<0.05) higher for T1 treatments than for others. Dressing percentage was significantly (p<0.05) higher for T1 and T2 than for T3 and T4 treatments. Meat percentage of T1 treatments was significantly (p<0.05) higher than those of other treatments. For meat properties, crude fat content was highest in T3 treatments. Linoleate (18:2n6) and linolenate (18:3n3) contents tended to be higher in T1 than those of other treatments, while arachidonate (20:4n6) content tended to be higher in T3 and T4 than that of other treatments. Shear force was lower (p<0.05) for T3 than other treatments. For sensory results, juiciness and tenderness tended to be greater (p<0.05) in T2 and T3, and flavour tended to be greater (p<0.05) in T3 and T4. The results indicated that grazing in hilly pastures for organic Korean black goats was somewhat less in their performances and carcass characteristics, but not behind in the meat quality and physical characteristics as compared with the conventional regimen. Therefore, it would be expected that goats grazing in hilly pastures made it possible to produce organic animal products with a high safety and also might lead to increase of breeders income and consumers satisfaction.
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