• Title/Summary/Keyword: resources evaluation

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Evaluation for Wood Pellets from Pinus densiflora Wood Damaged by Forest Fire (산불피해 소나무재의 목질펠릿으로의 이용가능성 평가)

  • Kwon, Sung-Min;Cho, Jae-Hyun;Lee, Sung-Jae;Kwon, Gu-Joong;Hwang, Byung-Ho;Lee, Gwi-Hyun;Han, Gyu-Seong;Cha, Du-Song;Kim, Nam-Hun
    • Journal of the Korean Wood Science and Technology
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    • v.35 no.4
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    • pp.14-20
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    • 2007
  • The properties of the wood pellets from damaged wood by forest fire and sound woods were investigated. Oven-dry densities of pellets made from sound wood and the damaged wood of Pinus densiflora were 0.93~0.94 and 0.86~0.88, respectively. Compressive strength of the pellets from the woods was ranged from 145 to $168kgf/cm^2$, and there was little difference between the sound wood and the damaged wood of P. densiflora. Ash content for the sound wood and the damaged wood of Pinus densiflora were 0.32~0.37% and 0.25~0.35%, respectively, and calorific values of each pellet were ranged from 18 to 19 MJ/kg. The result of elemental analysis in carbon. hydrogen and oxygen showed 45.8~48.8%, 6.2~6.5% and 46.5~48.0%, respectively. Consequently, there seem no significant difference in the properties between damaged and sound wood pellets.

Politics of Knowledge of Asbestos Activism in South Korea: Settled Dust Analysis and the Controversies over Asbestos Pollution Measurement (한국석면운동의 지식 정치: 먼지 분석법과 석면오염 측정 논란을 중심으로)

  • Kang, Yeonsil
    • Journal of Science and Technology Studies
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    • v.18 no.1
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    • pp.129-175
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    • 2018
  • This paper examines asbestos activism in South Korea by focusing on the politics of knowledge between the asbestos activist group and regulatory agency on the risk of asbestos exposure. Asbestos activism has contributed to establishing asbestos pollution an important safety and public health agenda in South Korea. Asbestos pollution investigation is key to core argument of the activism that asbestos pollution is pervasive especially in urban environment and a serious environmental health problem with its worst consequences has not yet seen. A distinctive characteristic of such asbestos investigation is the use of "settled dust analysis," non-standard, non-legislated analysis method. In this paper, literary technologies used in asbestos investigation report written by activists and controversies over asbestos pollution measurement in Samsung's head office building. Asbestos activists successfully concentrated media's attention on their argument and mobilize resources needed to make policy decisions, by using settled dust analysis data. Regulatory agency and expert group, however, neither saw settled dust analysis nor activists argument persuasive enough to make policy changes, base on their evaluation on the use of standards and evidentiary context for analyzing measured data. While its explanatory power is partially acquired, through the dispute between asbestos activists and regulatory agencies unspoken assumptions of regulatory science was revealed and became the matter of social debate. Settled dust analysis captures the characteristic of asbestos analysis which combined social movement and science to challenge the regulatory agency and expert group.

Adolescents Pregnancy and Stress (청소년 임신과 스트레스)

  • Kim, Man-Jee
    • 한국사회복지학회:학술대회논문집
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    • 2000.04a
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    • pp.615-628
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    • 2000
  • It is said that stress is the threat of peace and excess of resources which man has from special relationship between individual and environment. This study is for suggesting the method of intervention of the clinical social work service concerning stress for the adolescents who can conceive looking into the relationship between adolescent pregnancy and stress through the sundry records for them. When the change of making into parents from pregnancy overlapped with stress in the cycle of life as an adolescent period itself, the accumulated stress grows much bigger. The repeated change causes an obscurity of individual role and worsens stress and brings confusion on a priority ranking of developmental task. The pregnancy of adolescence has a demoralizing influence upon the adolescents themselves who are going to be adults, their children, and society. These negative effects won't be end in a short period so the effort of intervention in necessary to improve the coping skills and adaptability of pregnant adolescents. In case of pregnant adolescents, the approach of personal counsel is not just enough and effective prevention program can be better alternative and purpose at the same time. This intervention protects adolescents from the distress which can be easily disclosed after delivery and contribute to promote a good mental health of adolescents who will grow to be adults later. After all it implies the necessity of stress management program which can improve the coping ability against stress and develop positive recognition for the pregnant adolescents. Therefore much profounder study for practical intervention program, implementation, and evaluation is necessary with the conclusion which has the results of this literature study.

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Prediction of Landslide Using Artificial Neural Network Model (인공신경망모델을 이용한 산사태 예측)

  • 홍원표;김원영;송영석;임석규
    • Journal of the Korean Geotechnical Society
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    • v.20 no.8
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    • pp.67-75
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    • 2004
  • The landslide is one of the most significant natural disasters, which cause a lot of loss of human lives and properties. The landslides in natural slopes generally occur by complicated problems such as soil properties, topography, and geology. Artificial Neural Network (ANN) model is efficient computing technique that is widely used to solve complicated problems in many research fields. In this paper, the ANN model with application of error back propagation method was proposed for estimation of landslide hazard in natural slope. This model can evaluate the possibility of landslide hazard with two different approaches: one considering only soil properties; the other considering soil properties, topography, and geology. In order to evaluate reasonably the landslide hazard, the SlideEval (Ver, 1.0) program was developed using the ANN model. The evaluation of slope stability using the ANN model shows a high accuracy. Especially, the prediction of landslides using the ANN model gives more stable and accurate results in the case of considering such factors as soil, topographic and geological properties together. As a result of comparison with the statistical analysis(Korea Institute of Geosciences and Mineral Resources, 2003), the analysis using the ANN model is approximately equal to the statistical analysis. Therefore, the SlideEval (Ver. 1.0) program using ANN model can predict landslides hazard and estimate the slope stability.

Physicochemical and Sensory Characteristics of Yakju Fermented with Different Ratios of Dandelion (Taraxacum platycarpum) Root Powder (민들레 뿌리분말의 첨가비율을 달리하여 제조한 민들레 약주의 이화학적 및 관능적 특성)

  • Lee, Jong-Bok;Lee, Jong-Suk;Kim, Myung-Hee
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.41 no.6
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    • pp.834-839
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    • 2012
  • The physicochemical and sensory characteristics of Yakju fermented with different ratios of Taraxacum platycarpum (dandelion) root powder (0, 5, 10, and 15%) were investigated. The pH of Yakju decreased and the total acidity and sugar content increased according to the addition of dandelion root powder. Dandelion root powder (15%) showed significantly higher reducing sugar content on the 3rd day of fermentation compared with other groups, including the control. Also, further exposure of fermentation time showed a declining pattern of reducing sugar content. Including control, the alcohol content increased in all Yakju samples fermented with dandelion root powder as fermentation progressed. The Yakju fermented with 5% dandelion root powder showed the highest sensory scores for color, aroma, taste, swallowing, and overall acceptability as $6.38{\pm}1.27$, $5.58{\pm}1.02$, $5.79{\pm}0.98$, $6.08{\pm}1.21$, and $5.96{\pm}0.91$, respectively. In the present study for the production of Yakju, 5% dandelion root powder was the most appropriate amount to be added for the production of Yakju. The result obtained here may provide fundamental data for the traditional Yakju industry, which is interested in using a variety of natural resources.

Comparative Evaluation on Geotechnical Information 3D Visualization Program for Dredging Quantity Estimation (준설 물량 산출을 위한 지반정보 3차원 가시화 프로그램 비교 평가)

  • Lee, Boyoung;Hwang, Bumsik;Kim, Han-Saem;Cho, Wanjei
    • Journal of the Korean GEO-environmental Society
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    • v.17 no.7
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    • pp.35-42
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    • 2016
  • There are many reclamation projects domestically and internationally which requires large quantity of reclaimable materials. To provide enough reclaimable soils which are limited in land, there have been various research focusing on the dredged soils in the marine environments. As a part of this research, a GIS based 3D dredging reclamation visualization program was developed for the volume estimation of dredged soils in 2015. The developed program is based on the digitized spatial information of the site investigation data with a consideration of the reliability of the data. Prior to the validation with the comparisons with the actual dredged volume measurement data, the developed program was compared with the commercial 3D visualization program with 3D visualized results from the test site near the Gunjang harbor. The validation of the developed program was performed in terms of the degree of visualized precision, the sectional and profiling of soil layers and the dredged volume estimation results. Based on the comparisons, both commercial and developed program show similar dredged volume with minor discrepancies in soil layers.

Predicting Movie Revenue by Online Review Mining: Using the Opening Week Online Review (영화 흥행성과 예측을 위한 온라인 리뷰 마이닝 연구: 개봉 첫 주 온라인 리뷰를 활용하여)

  • Cho, Seung Yeon;Kim, Hyun-Koo;Kim, Beomsoo;Kim, Hee-Woong
    • Information Systems Review
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    • v.16 no.3
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    • pp.113-134
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    • 2014
  • Since a movie is an experience goods, purchase can be decided upon preliminary information and evaluation. There are ongoing researches on what impact online reviews might have on movie revenues. Whereas research in the past was focused on the effect of online reviews. The influence of online reviews appears to be significant in products like a movie because it is difficult to evaluate the feature prior to "consuming" the product. Since an online review is regarded to be objective, consumers find it more trustworthy. Contrary to prior research focused on movie review ratings and volume, we focus moves on movie features related specific reviews. This research proposes a predictive model for movie revenue generation. We decided 15 criteria to classify movie features collected from online reviews through the online review mining and made up feature keyword list each criterion. In addition, we performed data preprocessing and dimensional reduction for data mining through factor analysis. We suggest the movie revenue predictive model is tested using discriminant analysis. Following the discriminant analysis, we found that online review factors can be used to predict movie popularity and revenue stream. We also expect using this predictive model, marketers and strategic decision makers can allocate their resources in more parsimonious fashion.

Application of AutoFom III equipment for prediction of primal and commercial cut weight of Korean pig carcasses

  • Choi, Jung Seok;Kwon, Ki Mun;Lee, Young Kyu;Joeng, Jang Uk;Lee, Kyung Ok;Jin, Sang Keun;Choi, Yang Il;Lee, Jae Joon
    • Asian-Australasian Journal of Animal Sciences
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    • v.31 no.10
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    • pp.1670-1676
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    • 2018
  • Objective: This study was conducted to enable on-line prediction of primal and commercial cut weights in Korean slaughter pigs by AutoFom III, which non-invasively scans pig carcasses early after slaughter using ultrasonic sensors. Methods: A total of 162 Landrace, Yorkshire, and Duroc (LYD) pigs and 154 LYD pigs representing the yearly Korean slaughter distribution were included in the calibration and validation dataset, respectively. Partial least squares (PLS) models were developed for prediction of the weight of deboned shoulder blade, shoulder picnic, belly, loin, and ham. In addition, AutoFom III's ability to predict the weight of the commercial cuts of spare rib, jowl, false lean, back rib, diaphragm, and tenderloin was investigated. Each cut was manually prepared by local butchers and then recorded. Results: The cross-validated prediction accuracy ($R^2cv$) of the calibration models for deboned shoulder blade, shoulder picnic, loin, belly, and ham ranged from 0.77 to 0.86. The $R^2cv$ for tenderloin, spare rib, diaphragm, false lean, jowl, and back rib ranged from 0.34 to 0.62. Because the $R^2cv$ of the latter commercial cuts were less than 0.65, AutoFom III was less accurate for the prediction of those cuts. The root mean squares error of cross validation calibration (RMSECV) model was comparable to the root mean squares error of prediction (RMSEP), although the RMSECV was numerically higher than RMSEP for the deboned shoulder blade and belly. Conclusion: AutoFom III predicts the weight of deboned shoulder blade, shoulder picnic, loin, belly, and ham with high accuracy, and is a suitable process analytical tool for sorting pork primals in Korea. However, AutoFom III's prediction of smaller commercial Korean cuts is less accurate, which may be attributed to the lack of anatomical reference points and the lack of a good correlation between the scanned area of the carcass and those traits.

Food Component Characterization of Muscle From Salmon Frame (연어 Frame 육의 식품성분 특성)

  • Heu, Min-Soo;Kim, Hyung-Jun;Yoon, Min-Seok;Park, Do-Yeong;Park, Kwon-Hyun;Kim, Jin-Soo
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.37 no.11
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    • pp.1452-1456
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    • 2008
  • For the effective use of salmon processing by-products, the food components of salmon frame muscle were investigated and compared with those of fillet muscle. The proximate composition of salmon frame muscle was 73.2 g/100 g muscle for the moisture, 76.9 g/100 g dry material for the protein, 15.7 g/100 g dry material for the lipid and 4.1 g/100 g dry material for the ash. pH and volatile basic nitrogen (VBN) content of salmon frame muscle were 6.63 and 16 mg/100 g, respectively. The proximate composition, pH and VBN of salmon frame muscles were similar to those of salmon fillet muscle. The Hunter values of salmon frame muscle were 55.34 for L value, 16.60 for a value, 19.99 for b value and 48.83 for ${\Delta}E$ value, which were different compared to the salmon fillet muscle. The trichloroacetic acid (TCA) soluble-N content of salmon frame muscle was 542 mg/100 g, which was lower than that of salmon fillet muscle. No difference was found in fatty acid composition, total amino acid, calcium, phosphorus contents and sensory evaluation between salmon frame muscle and salmon fillet muscle. These results suggested that muscle from salmon frame could be used as resources for seafood processing.

Estimation of Genetic Parameters for Calving Ease by Heifers and Cows Using Multi-trait Threshold Animal Models with Bayesian Approach

  • Lee, D.H.
    • Asian-Australasian Journal of Animal Sciences
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    • v.15 no.8
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    • pp.1085-1090
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    • 2002
  • Genetic parameters for birth weights (BWT), calving ease scores observed from calves born by heifers (CEH), and calving ease scores observed from calves born by cows (CEC) were estimated using Bayesian methodology with Gibbs sampling in different threshold animal models. Data consisted of 77,458 records for calving ease scores and birth weights in Gelbvieh cattle. Gibbs samplers were used to obtain the parameters of interest for the categorical traits in two univariate threshold animal models, a bivariate threshold animal model, and a three-trait linear-threshold animal model. Samples of heritabilities and genetic correlations were calculated from the posterior means of dispersion parameters. In a univariate threshold animal model with CEH (model 1), the posterior means of heritabilities for calving ease was 0.35 for direct genetic effects and 0.18 for maternal genetic effects. In the other univariate threshold model with CEC (model 2), the posterior means of heritabilities of CEC was 0.28 for direct genetic effects and 0.18 for maternal genetic effects. In a bivariate threshold model with CEH and CEC (model 3), heritability estimates were similar to those in unvariate threshold models. In this model, genetic correlation between heifer calving ease and cow calving ease was 0.89 and 0.87 for direct genetic effect and maternal genetic effects, respectively. In a three-trait animal model, which contained two categorical traits (CEH and CEC) and one continuous trait (BWT) (model 4), heritability estimates of CEH and CEC for direct (maternal) genetic effects were 0.40 (0.23) and 0.23 (0.13), respectively. In this model, genetic correlation estimates between CEH and CEC were 0.89 and 0.66 for direct genetic effects and maternal effects, respectively. These estimates were greater than estimates between BWT and CEH (0.82 and 0.34) or BWT and CEC (0.85 and 0.26). This result indicates that CEH and CEC should be high correlated rather than estimates between calving ease and birth weight. Genetic correlation estimates between direct genetic effects and maternal effects were -0.29, -0.31 and 0.15 for BWT, CEH and CEC, respectively. Correlation for permanent environmental effects between BWT and CEC was -0.83 in model 4. This study can provide genetic evaluation for calving ease with other continuous traits jointly with assuming that calving ease from first calving was a same trait to calving ease from later parities calving. Further researches for reliability of dispersion parameters would be needed even if the more correlated traits would be concerned in the model, the higher reliability could be obtained, especially on threshold model with property that categorical traits have little information.