In order to assess the effect of feeding raw or processed cotton (Gossypium) seed meal (CSM) on meat and wool production, 30 male crossbred lambs (3-4 months) of uniform body weight were assigned equally to five dietary treatments in a completely randomised design. The CSM was processed by three different methods i.e., cooking the meal at $100^{\circ}C$ for 45 minutes, treatment with 1% calcium hydroxide ($Ca(OH)_2$) for 24 h and iron treatment in the ratio of 1 part free gossypol (FG) to 0.3 parts of iron for 30 minutes. The lambs were fed isonitrogenous and isocaloric concentrate mixtures, containing 30% deoiled peanut meal (reference diet) and 40% of either raw, cooked, $Ca(OH)_2$ or iron treated CSM for 180 days. The raw and variously processed CSM replaced about 50% nitrogen of reference concentrate mixture. The concentrate mixtures were fed to meet 80% of the protein requirements (NRC, 1985) along with ad libitum chopped maize (Zea mays) hay. The slaughter weight, empty body weight and carcass weight was higher ($p{\leq}0.01$) in lambs fed cooked CSM incorporated diets, compared to diets containing deoiled peanut meal (DPNM). These parameters were not influenced by feeding diets containing either raw, $Ca(OH)_2$ or iron treated CSM in comparison DPNM diets. The carcass length, loin eye area and edible and inedible portion of carcass and the meat: bone ratio in whole carcass were also not affected by feeding CSM based diets. Among various primal cuts, the yield of legs was lower ($p{\leq}0.05$) from raw CSM fed lambs in comparison to DPNM fed lambs. The fat content in the Longissimus dorsi muscle was reduced ($p{\leq}0.05$) in lambs fed processed CSM based diets compared to those fed DPNM diet. Replacing DPNM with either raw or processed CSM based diets did not influence the sensory attributes and overall acceptability of meat. The wool yield was higher ($p{\leq}0.05$) in iron treated CSM fed lambs. The fibre length and fibre diameter were comparable among lambs on various dietary regimes. Among lambs fed variously processed CSM diets, the feed cost per kg of edible meat production was lower ($p{\leq}0.05$) on $Ca(OH)_2$ treated CSM, followed by cooked CSM diet and then on raw CSM based diets compared to DPNM diet. The CSM after 1% $Ca(OH)_2$ treatment or cooking for 45 minutes appears to be a satisfactory protein supplement in lamb diets for meat and wool production to replace at least 50% nitrogen of scarce and costly peanut meal.
Kim, Teajin;Hong, Jeongshik;Jeon, Yunsu;Park, Jongryul;An, Teayuk
The Journal of Society for e-Business Studies
/
v.23
no.1
/
pp.1-22
/
2018
The value chain has been utilized as a strategic tool to improve competitive advantage, mainly at the enterprise level and at the industrial level. However, in order to conduct value chain analysis at the enterprise level, the client companies of the parent company should be classified according to whether they belong to it's value chain. The establishment of a value chain for a single company can be performed smoothly by experts, but it takes a lot of cost and time to build one which consists of multiple companies. Thus, this study proposes a model that automatically classifies the companies that form a value chain based on actual transaction data. A total of 19 transaction attribute variables were extracted from the transaction data and processed into the form of input data for machine learning method. The proposed model was constructed using the Random Forest algorithm. The experiment was conducted on a automobile parts company. The experimental results demonstrate that the proposed model can classify the client companies of the parent company automatically with 92% of accuracy, 76% of F1-score and 94% of AUC. Also, the empirical study confirm that a few transaction attributes such as transaction concentration, transaction amount and total sales per customer are the main characteristics representing the companies that form a value chain.
Kim, Hyoung-Soon;Lee, Hee-Seung;Cha, Byung-Hun;Joo, Jong-Cheon
Journal of Sasang Constitutional Medicine
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v.23
no.1
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pp.115-124
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2011
1. Objectives : This study aimed to provide practical insights on the development of traditional Korean medical tourism and maximize the satisfaction of foreign patients. The main objectives of this study were also to evaluate Sasang Constitutional Medicine(S.C.M.) diagnosis cost from foreigners' perspectives. 2. Methods : For this study, the data were collected from tourists to Korea between January 3, 2010 to February 20, 2010. The sample used in this study was mainly composed of Japanese, Chines and US/Canada, because they are the major national visitor origin group to Korea. The primary data were collected by questionnaire survey using a standardized instrument with a convenience sampling procedure, and efforts of the interviews involved an on-site, self-administrated questionnaire to those sitting or visiting tourist attractions. The total size of the sample was 276 of which 275 showed no missing value against the factors needed for final analysis and were for analysis as an effective sample. SPSS 13.0 for window was used to analyze the collected data on which descriptive statistics and the Limited Dependent(LIMDEP) 8.0 program was used in estimating the willingness-to-pay(WTP) for traditional Korean medical tourism through the Contingent Valuation Method(CVM). A dichotomous choice question form of a CVM was applied to estimating the value. 3. Results and Conclusion: 1. There was significant statistical relationship between attributes when considering medical tourism destination and socio-demographic profiles such as age group, nationality, educational level and occupation. 2. In the level of recognition on Korean medicine, north Americans showed low level of recognition compared to other nationalities. In addition, in terms of age group, 20's and 30's showed low level of recognition on Korean medicine, 3. In relation to the level of interest on Korean medicine, Japanese respondents had higher interesting level on Korean medicine. Also singles had higher level of interest. 4. Regarding preferred Korean medical treatment program, there found significant statistical relationship between Korean medical treatment program and socio-demographic characteristics. 5. The estimating result of the logit model showed that the variables affecting the WTP for Sasang Constitutional medicine diagnosis were offered price and potential ability of medical tourism destination. 6. In relation to WTP for Sasang Constitutional medicine diagnosis, Japanese respondents showed a WTP of USD 62.69 and Chinese respondents showed USD 57.09. On the other hands, respondents from north America and other countries showed a WTP of USD 65.50. In conclusion, from this study, the results found that the opportunities in tradition Korean medical tourism are immense and the possible rewards are numerous. It is time to continue to promote 'Sasang Constitutional medicine' and make the Korean medical tourism programs considering on nationalities, age group, gender and WTP.
A product classification scheme is the foundation on which product databases are designed, and plays a central role in almost all aspects of management and use of product information. It needs to meet diverse user views to support efficient and convenient use of product information. It needs to be changed and evolved very often without breaking consistency in the cases of introduction of new products, extinction of existing products, class reorganization, and class specialization. It also needs to be merged and mapped with other classification schemes without information loss when B2B transactions occur. For these requirements, a classification scheme should be so dynamic that it takes in them within right time and cost. The existing classification schemes widely used today such as UNSPSC and eCl@ss, however, have a lot of limitations to meet these requirements for dynamic features of classification. Product information implies a plenty of semantics such as class attributes like material, time, place, etc., and integrity constraints. In this Paper, we analyze the dynamic features of product databases and the limitation of existing code based classification schemes, and describe the semantic classification model proposed in [1], which satisfies the requirements for dynamic features of product databases. It provides a means to explicitly and formally express more semantics for product classes and organizes class relationships into a graph.
We investigate the effect of the data skew of join attributes on the performance of a pipelined multi-way hash join method, and propose two new harsh join methods in the shared-nothing multiprocessor environment. The first proposed method allocates buckets statically by round-robin fashion, and the second one allocates buckets dynamically via a frequency distribution. Using harsh-based joins, multiple joins can be pipelined to that the early results from a join, before the whole join is completed, are sent to the next join processing without staying in disks. Shared nothing multiprocessor architecture is known to be more scalable to support very large databases. However, this hardware structure is very sensitive to the data skew. Unless the pipelining execution of multiple hash joins includes some dynamic load balancing mechanism, the skew effect can severely deteriorate the system performance. In this parer, we derive an execution model of the pipeline segment and a cost model, and develop a simulator for the study. As shown by our simulation with a wide range of parameters, join selectivities and sizes of relations deteriorate the system performance as the degree of data skew is larger. But the proposed method using a large number of buckets and a tuning technique can offer substantial robustness against a wide range of skew conditions.
There exists a general consensus in Korea that patients tend to concentrate in large hospitals and this tendency is partly responsible for inefficiency in health services. The process of choosing a medical care provider for health care services and evaluating the provider after utilization seems to involve many diverse factors to become very complex. Therefore a systemsatic study is needed to achieve sufficient understanding of the proeess. For this point of view, this study investigates patient's selection of medical care institution for delivery care services and their evaluation of the institution after delivery. In more specific, the objectives of the study are twofold: 1) to identify the factors associated with expectant mothers' choice of type of medical care institution for delivery among tertiary hospitals, general hospitals, small hospitals, and clinics: and 2) to understand the factors affecting patient evaluation of the medical care institution after delivery. The data used for the analysis were collected through face-to-face interviews with those women who had childbirth during the period from January 1, 1996 to the date of interview in February 1998. The survey was conducted using preqared structured questionnaire in Seoul. The sample was drawn from each of arbitrarily defined four regions of Seoul, Northeast, Northwest, Southeast and Southwest, in proportion to the number of births reported in 1996 in each of them. The distribution of the interviewed women by educational level was made similar to that of mothers of new babies reported in 1996. The sample size was planned to be about 300, but ended up with analytical sample of 319. Major conclusions emerged from the analysis can be summarized as follows: 1) Large hospitals were evaluated as much better for technical quality than other types of institutions, whereas they were compared similar to or worse for other attributes. And it was found that technical quality of care is considered as the most important condition of medical care institution for delivery, while the amount of direct cost is considered as the least important one. Taken together, the utilization of large hospitals is not likely to decrease even though they cannot give satisfaction to patients in other aspects than technical quality. 2) The activeness in the search for information affected the respondents' evaluation of medical care institutions, which would influence their later decision or recommendation to other persons as to the choice of source of health care services. Therefore, increased efforts should be directed to improving availability of useful and correct information for patients in relation to the utilization of health care services. 3) Since the findings of this study were obtained from the analysis of delivery care services, their applicability to other kinds of services may be limited. Thus it would be useful to conduct a comparative study of several kinds of services explicitly taking into account the characteristics of those services in the analysis.
Journal of the Korean Regional Science Association
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v.32
no.2
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pp.3-13
/
2016
This study is to analyze the feasibility of a project to digitalize the originals of cadastral maps of North Korea, a total of 299,688 sheets archived in South Korea's National Archives. The cost-benefit analysis is limited on the digitalization of the original cadastral maps of lands, woods and fields, information analysis on land attributes and platform construction, and the benefit analyses are divided into divided territory ones, namely intrinsic value, heritage value, direct and indirect utility value, military and strategic value and the foundation for inter-Korean unification, and post-unification ones such as the confirmation of ownerships, control of social conflicts, reconnection of family lines, arrangement of lot numbers, cadastral management and urban planning. Such benefits are estimated through the double-bound dichotomous choice of the contingent valuation method (CVM). The scenarios show that benefit in the divided territory is expected to reach 586.8billion won in the current value. The amount was calculated from the payable amount (7,925won) multiplied by the whole number of households. The post-unification benefit is estimated at 324.3billion to 594.1billion won as the payable amount (8,023won) is multiplied by the whole number of households.
Mode choice Analysis is essential analysis stage in transportation demand forecasting process. Therefore, methods for calibration and forecasting of mode choice model in aspect of practical view need to be discussed in depth. Since 1980s, choice models, especially Logit model, are spread widely and rapidly over academic area, research institutes and consulting firms in Korea like other developed countries in the world. However, the process of calibration and parameter estimation for practical application was not clearly explained in previous papers and reports. This study tried to explain clearly the calibration process of mode choice step by step and suggested a forecasting mode choice model that can be applicable in real policy analysis by using household survey data of Pusan metropolitan are. The study also suggested a way of estimating attributes which was not observed during the household survey commonly such as travel time and cost of unchosen alternative modes. The study summarized the statistical results of model specification for four different Logit models as a process to upgrade model capability of explanation for real traveler's choice behaviors. By using the analysis results, it also calculated the value of travel time and compared them with the values of other previous studies to test reliability of the estimated model.
The scale and operating conditions of logistical systems very sensitively varies according to the variation of traffic intensity that is affected by the arrival characteristics of trucks and the attributes of loading/unloading services in logistics facilities. More exactly, logistics costs are incurred according to variations of traffic intensity. which are intimately linked with in a given time period. Also. although traffic intensity changes minutely, the range of cost variation is wide. Nevertheless, with regard to operating logistics systems, the existing studies make no attempt to analyze these factors. Therefore, it was the purpose of this study to determine the optimal traffic intensity to minimize excessive logistics costs resulting from the generation of unnecessary costs such as waiting costs and overcosts in operating a facility. For the purposes of this analysis. a determination model of optimal traffic intensity was constructed according to queuing theory. The inflow/outflow conditions of trucks and the terminal operational conditions were collected from an off-dock container terminal in Busan. On the basis of this data. the optimal traffic intensity that could off-set excessive waiting and operating costs was determined quantitatively. Also. using the optimal traffic intensity to be determined. we consider the improvements of operating system in the logistics facilities.
The embedded software has been become more important than the hardware in mobile systems in ubiquitous society. The improvement models such as CMMI(Capability Maturity Model Integration) and SPICE(Software Process Improvement and Capability dEtermination) are used to improve the quality of software in general systems. Software process improvement is also necessary for mobile embedded software development to improve its quality. It is not easy to apply the general software improvement model to the mobile embedded software development due to the high cost effectiveness and heavy process. On the other hand, XP has the characteristics on focused communications with customers and iteration development. It is specially suitable for mobile embedded software development as depending on customer's frequent requirement changes and hardware attributes. In this paper, we propose a framework for development small process improvement based XP(eXtreme Programming)'s practice in order to accomplish CMMI level 2 or 3 in mobile embedded software development at the small organizations. We design and implement the Mobile Embedded Software Process Improvement System(MESPIS) to support process improvement. We also suggest the evaluation method for the mobile embedded software development process improvement framework with CMMI coverage check by comparing other process improvement model. In the future, we need to apply this proposed framework to real project for practical effectiveness and the real cases quantitative. It also include the enhance the functionality of MESPIS.
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