• Title/Summary/Keyword: performance objective

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A Resource-Based Perspective on Three IT Resources and Their Relationships in IT Outsourcing (IT 아웃소싱 성공에 영향을 미치는 3가지 IT 자원들과 그 관계: 자원기반 관점에서)

  • Kim, Chy Heon;Kim, Joon S.;Im, Kun Shin
    • Information Systems Review
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    • v.14 no.3
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    • pp.53-74
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    • 2012
  • IT outsourcing (ITO) is an integration of two firms-external vendor(s) and a client firm-IT resources by contract. According to resource-based view(RBV), three different resources-ITO vendor's resource, client firm's resource, and the relationship resource between two firms- may have an impact on ITO performance. However, there have been few previous studies considering all three IT resources simultaneously. There have been also few empirical studies in ITO context, which test Bharadwaj (2000)'s findings: 1) IT resources can be divided into tangible IT asset and intangible IT capability, and 2) only IT capability has an impact on the IT performance. Therefore we examined whether, in ITO context, all three different resources have a significant impact on ITO performance. Adopting the findings of previous IT studies, we also divided IT resource into IT asset and IT capability. To achieve this research objective, we analyzed 62 ITO cases of 45 companies being listed in Korean top 100 companies for recent 3 years. Also, we analyzed the data with the Partial Least Squares method. The results of this research lead to the following conclusions: First, only when partnership is high, ITO vendors' resource can have an influence on ITO performance. Second, only client firm's IT capability, not IT asset, is directly related to the ITO success. Third, a firm's IT capability can increase the partnership. Therefore, we concluded that 1) RBV is also an useful theory in ITO context, 2) Bharadwaj(2000)'s suggestion is valid in ITO context as well, and 3) the relationship resource is also important in ITO.

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Effects of Restricted Feeding during Growing Period on Laying Performance and Egg Quality in Layers (산란계의 육성기 제한 급여가 생산성 및 계란 품질에 미치는 영향)

  • Kang, H.K.;Cho, J.H.;Kim, J.H.;Kang, H.G.;Yu, D.J.;Na, J.C.;Kim, D.W.;Lee, S.J.;Kim, I.S.;Kim, S.H.
    • Korean Journal of Poultry Science
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    • v.35 no.1
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    • pp.63-69
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    • 2008
  • The objective of this study was to investigate the effect of restricted feeding to laying performance and egg quality in brown layers. A total of 1,080 brown layer chicks were divided into three treatments; conventional feeding (ad libitum) and two restricted feedings (80% of conventional diet) for 70 weeks. One of restricted feeding started from six to eighteen weeks of age, and the other started from twelve to eighteen weeks of age. Diets were formulated by NRC (1994) recommendation. Overall laying performance and feed intake were the highest in $6{\sim}18 wk$ restricted group. But there was no significant difference among treatment group (P>0.05). Feed intake was higher in $6{\sim}18 wk$ restricted group during maximum production (P<0.05), but there was no difference between treatments after the peak. Egg quality tended to decreased by aging, but there was no significant difference among the treatments (P>0.05). The result of present study indicated that restricted feeding in rearing period of layers is beneficial to improve egg productivity and to reduce feed cost.

Amendments and Construction Systems for Improving the Performance of Sand-Based Putting Greens (골프장 putitng green 개선을 위한 토양 개량제와 green 구조시설)

  • Ok Chang-Ho;Anderson Stephen H.;Ervin Erik H.
    • Asian Journal of Turfgrass Science
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    • v.18 no.3
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    • pp.149-163
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    • 2004
  • Physical and chemical properties of root zone mixes and methods of green construction are important considerations for improving turf grass quality for putting greens. This study compared Penncross creeping bentgrass (Agrostis palustris Huds.) performance as affected by three root zone construction systems with three amendments (sand, peat, and zeolite). The objective of this study was to determine if an amended California construction system would improve green performance during establishment (1998-1999) and maturation (2000-2001). Three treatments were tested: California ($100\%$ sand), USGA($90\%$ sand and $10\%$ peat, v/v), and California-Z ($85\%$ sand and $15\%$ zeolite, v/v). Treatments were arranged in a randomized complete block with four replicates. Physical and chemical properties of the root zone and bentgrass performance were compared for the treatments. The California-Z treatment had the highest saturated hydraulic conductivity, field infiltration rate and the lowest bulk density. It also had the highest cation exchange capacity and plant available nutrient concentrations among the three treatments. The California-Z treatment produced bentgrass quality and color during green establishment and maturation that were equal to or higher than the California treatment, and consistently higher than the USGA treatment. The addition of an inorganic amendment to the California system improved physical and chemical properties of the root zone and improved quality and color of bentgrass during green establishment. During green maturation, creeping bentgrass in the California-Z treatment was equal (6 of 15 sampling dates) or $20\%$ higher (9 of 15 dates) in quality compared to the California system.

STRUCTURAL MODEL OF CAUSES OF CONDUCT PROBLEM - RELATIONSHIP AMONG CONDUCT PROBLEMS, DEPRESSION, ANXIETY, FAMILY ENVIRONMENT, SELF-CONCEPT, AND TODDLER TEMPERAMENT - (행동문제 원인의 구조적 모델에 관한 연구 - 행동문제, 우울, 불안, 가정환경, 자기개념, 걸음마기 기질의 관계 -)

  • Cho, Soo-Churl;Shin, Min-Sup;Roh, Myoung-Sun
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.10 no.1
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    • pp.3-14
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    • 1999
  • Objective:This study was designed to investigate the difference between executive function of Attention Deficit/Hyperactivity Disorder(ADHD) group and that of neurotics, and to investigate the developmental aspects of ADHD group's executive function. Method:Executive function between ADHD(N=87) and Neurotics(N=19) was evaluated through their performance on the Wisconsin Card Sorting Test. The results were analyzed by 2-way ANOVA and t-test. Results:The results revealed group difference between ADHD and neurotics in total correct reponses, total error responses, nonperseverative errors, number of categories completed, conceptual level responses. There was no significant difference between the performance of 8-12 aged group and 13-15 aged group. But 7-8 aged group showed significantly poor performance than 8-12 aged in total responses, total error responses, perseverative responses, perseverative error responses, nonperseverative error responses. Conclusions:In comparison to the neurotics group, the children of ADHD group are suggested to be lacking the ability to correct their responses according to the external feedback and they probably respond randomly without self-control. However, as there is no difference between perseverative errors and perseverative responses, the interpretation of this finding warrants caution. It also suggests that the developmental aspects should be considered in the studies of executive functions because there are differences in the performance of executive functions by ages.

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Effects of Increasing Supplementation of Lycii fructus and Glycyrrhiza uralensis Mixture in Diets on Growth Performance, Blood Parameter, Immune Response and Intestinal Microflora in Broilers (사료 내 감초, 구기자 복합제 급여가 육계의 생산성, 혈액성상, 면역성상 및 장내 미생물 균총에 미치는 영향)

  • Kim, Chan Ho;Kim, Ji-Hyuk;Paik, In Kee;Kang, Hwan Ku
    • Korean Journal of Poultry Science
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    • v.42 no.2
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    • pp.139-145
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    • 2015
  • The objective of this experiment was to investigate the effects of dietary supplementation of Lycii fructus (LF) and Glycyrrhiza uralensis (GU) mixture on growth performance, blood parameter, immune response and intestinal microflora in broiler. A total 750 1-d old ROSS 308 was randomly allotted to 1 of 3 dietary treatments with 5 replicates during d 35 of the feeding trial. Two additional diets were prepared by adding 0.5 or 1.0% of LF and GU mixture to the basal diet. The experimental diets were fed on an ad libitum basis to the birds during 35 d. Results indicated that increasing inclusion level of LF and GU mixture in diets improved BW gain (quadratic, P<0.05) and improved feed conversion ratio (quadratic, P<0.05) of birds during to 0 to 21 d. Increasing inclusion level of LF and GU mixture in diets improved BW gain (linear and quadratic, P<0.05) of birds during to 0 to 35 d. The leukocyte concentrations were not affected by increasing inclusion level of LF and GU mixture in diets. Plasma IgG concentration was increased (linear, P<0.05) as the concentrations of LF and GU mixture in diets increased. The concentrations of Lactobacillus spp. in the ileal content of birds increased (linear, P<0.05), but those of Escherichia coli decreased (quadratic, P<0.01). These results suggest that dietary LF and GU mixture may be used as a functional ingredient to improve growth performance, plasma IgG and intestinal health of birds.

Effects of Dietary Ginseng By-product on Growth Performance and Pork Quality Parameters in Finishing Pigs (인삼부산물 급여에 따른 비육돈의 생산성 및 육질 특성에 미치는 영향)

  • Park, J.C.;Kim, Y.H.;Jung, H.J.;Ji, S.Y.;Lee, S.D.;Ryu, J.W.;Jang, H.D.;Moon, H.K.;Kim, I.C.
    • Journal of Animal Science and Technology
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    • v.49 no.6
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    • pp.839-846
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    • 2007
  • The objective of the present study was to investigate the effect of dietary supplementation of the ginseng by-product on growth performance and meat quality in finishing pigs. The animals used in the experiment were a total of 24 Landrace×Yorkshire and weighted 65.81±2.02kg. The experimental diets were basal diet(CON) and 2.5% ginseng by-product(GBP), which replaced lupin in basal diet. The pigs were allotted at 4 pigs per pen with three replicate pens per treatment by completely randomized design. In growth performance, ADFI was significantly lower(P<0.0001) in GBP than in CON. In plasma biochemical composition, total protein(P<0.01), blood urea nitrogen(P<0.03), glucose(P<0.01), albumin(P<0.02), calcium(P<0.01) and inorganic phosphate(P<0.01) were significantly higher in GBP than in CON. Carcass and meat quality were not significantly different between treatments. Total ginsenoside content on meat was significantly higher(P<0.0001) in GBP than in CON. TBARs was significantly lower in GBP than in CON for 6 days(P<0.03) and 12 days (P<0.06), respectively. Our research indicates that plasma biochemical composition, total ginsenoside content and TBARs were affected when replaced with ginseng by-product. Ginseng by-product in the pig diet increased pig muscle ginsenoside, indicating that ginseng by-product can be used as a feed additive.

Effect of Herd-mix Feeding System formulated by Energy Requirement Levels on the Performance of Lactating Cows (에너지 요구수준에 의하여 조제한 자가배합사료 사양체계가 젖소의 산유능력에 미치는 영향)

  • Sung, H.G.;Kim, D.K.
    • Journal of Animal Science and Technology
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    • v.46 no.5
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    • pp.773-782
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    • 2004
  • The objective of this work was to establish an approaching method for TMR feeding system in the farm situation by testing the effects of herd-mix feeding system on the performance of lactating cows. Fifty six Holstein cows were fed for the experimental period of 16 months. Prior to test the herd-mix feeding system, animals were kept on conventional feeding system for 4 months, separate feeding of forage with concentrate, then provided 3 types of herd-mix rations formulated by mean level of energy concentration requirement of higher 1/2 ranker in each herd for remaining 12 months to compare the effect on milk yield performance of animals with conventional feeding system by using a switch-over method. The herd-mix feeding system influenced substantially upon the improvements of milk yield(P<0.01) and milk fat percentage(P<0.05). In all of lactational ages, milk yield and milk fat were enhanced by the herd-mix feeding system. Especially, actual milk yield(AMY) and milk fat in the 1st lactating cows, and AMY and 4.0% fat corrected milk yield(FCM) in the 2nd lactating cows were increased signiticantly by the herd-mix feeding system(P<0.05). In the early and mid-stage of lactation, the herd-mix feeding system showed higher AMY and FCM compared with the conventional feeding system although the milk fat was not different. AMY, milk fat and FCM in the late-stage of lactation were increased generally by the herd-mix feeding system. Especially, milk fat and FCM obtained by the herd-mix feeding system were significantly higher than those by the conventional feeding system(P<0.01). The herd-mix feeding system showed a good type of milking curve with a higher persistency of FCM(93.24%) than in conventional one(92.69%). The income over feed cost with the herd-mix feeding system was lA-fold higher than that with the conventional feeding method. In conclusion, the results of this work suggest that the herd-mix feeding system based on a correct level of energy concentration of TMR and well-determined feed ingredients increases not only milk yield of dairy herd by enhancing the performance of cows in early to mid stage of lactation with improved milk persistency but also gross income of dairy farm.

A Review of the Influence of Sulfate and Sulfide on the Deep Geological Disposal of High-level Radioactive Waste (고준위방사성폐기물 심층처분에 미치는 황산염과 황화물의 영향에 대한 고찰)

  • Jin-Seok Kim;Seung Yeop Lee;Sang-Ho Lee;Jang-Soon Kwon
    • Economic and Environmental Geology
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    • v.56 no.4
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    • pp.421-433
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    • 2023
  • The final disposal of spent nuclear fuel(SNF) from nuclear power plants takes place in a deep geological repository. The metal canister encasing the SNF is made of cast iron and copper, and is engineered to effectively isolate radioactive isotopes for a long period of time. The SNF is further shielded by a multi-barrier disposal system comprising both engineering and natural barriers. The deep disposal environment gradually changes to an anaerobic reducing environment. In this environment, sulfide is one of the most probable substances to induce corrosion of copper canister. Stress-corrosion cracking(SCC) triggered by sulfide can carry substantial implications for the integrity of the copper canister, potentially posing a significant threat to the long-term safety of the deep disposal repository. Sulfate can exist in various forms within the deep disposal environment or be introduced from the geosphere. Sulfate has the potential to be transformed into sulfide by sulfate-reducing bacteria(SRB), and this converted sulfide can contribute to the corrosion of the copper canister. Bentonite, which is considered as a potential material for buffering and backfilling, contains oxidized sulfate minerals such as gypsum(CaSO4). If there is sufficient space for microorganisms to thrive in the deep disposal environment and if electron donors such as organic carbon are adequately supplied, sulfate can be converted to sulfide through microbial activity. However, the majority of the sulfides generated in the deep disposal system or introduced from the geosphere will be intercepted by the buffer, with only a small amount reaching the metal canister. Pyrite, one of the potential sulfide minerals present in the deep disposal environment, can generate sulfates during the dissolution process, thereby contributing to the corrosion of the copper canister. However, the quantity of oxidation byproducts from pyrite is anticipated to be minimal due to its extremely low solubility. Moreover, the migration of these oxidized byproducts to the metal canister will be restricted by the low hydraulic conductivity of saturated bentonite. We have comprehensively analyzed and summarized key research cases related to the presence of sulfates, reduction processes, and the formation and behavior characteristics of sulfides and pyrite in the deep disposal environment. Our objective was to gain an understanding of the impact of sulfates and sulfides on the long-term safety of high-level radioactive waste disposal repository.

Unenhanced Breast MRI With Diffusion-Weighted Imaging for Breast Cancer Detection: Effects of Training on Performance and Agreement of Subspecialty Radiologists

  • Yeon Soo Kim;Su Hyun Lee;Soo-Yeon Kim;Eun Sil Kim;Ah Reum Park;Jung Min Chang;Vivian Youngjean Park;Jung Hyun Yoon;Bong Joo Kang;Bo La Yun;Tae Hee Kim;Eun Sook Ko;A Jung Chu;Jin You Kim;Inyoung Youn;Eun Young Chae;Woo Jung Choi;Hee Jeong Kim;Soo Hee Kang;Su Min Ha;Woo Kyung Moon
    • Korean Journal of Radiology
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    • v.25 no.1
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    • pp.11-23
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    • 2024
  • Objective: To investigate whether reader training improves the performance and agreement of radiologists in interpreting unenhanced breast magnetic resonance imaging (MRI) scans using diffusion-weighted imaging (DWI). Materials and Methods: A study of 96 breasts (35 cancers, 24 benign, and 37 negative) in 48 asymptomatic women was performed between June 2019 and October 2020. High-resolution DWI with b-values of 0, 800, and 1200 sec/mm2 was performed using a 3.0-T system. Sixteen breast radiologists independently reviewed the DWI, apparent diffusion coefficient maps, and T1-weighted MRI scans and recorded the Breast Imaging Reporting and Data System (BI-RADS) category for each breast. After a 2-h training session and a 5-month washout period, they re-evaluated the BI-RADS categories. A BI-RADS category of 4 (lesions with at least two suspicious criteria) or 5 (more than two suspicious criteria) was considered positive. The per-breast diagnostic performance of each reader was compared between the first and second reviews. Inter-reader agreement was evaluated using a multi-rater κ analysis and intraclass correlation coefficient (ICC). Results: Before training, the mean sensitivity, specificity, and accuracy of the 16 readers were 70.7% (95% confidence interval [CI]: 59.4-79.9), 90.8% (95% CI: 85.6-94.2), and 83.5% (95% CI: 78.6-87.4), respectively. After training, significant improvements in specificity (95.2%; 95% CI: 90.8-97.5; P = 0.001) and accuracy (85.9%; 95% CI: 80.9-89.8; P = 0.01) were observed, but no difference in sensitivity (69.8%; 95% CI: 58.1-79.4; P = 0.58) was observed. Regarding inter-reader agreement, the κ values were 0.57 (95% CI: 0.52-0.63) before training and 0.68 (95% CI: 0.62-0.74) after training, with a difference of 0.11 (95% CI: 0.02-0.18; P = 0.01). The ICC was 0.73 (95% CI: 0.69-0.74) before training and 0.79 (95% CI: 0.76-0.80) after training (P = 0.002). Conclusion: Brief reader training improved the performance and agreement of interpretations by breast radiologists using unenhanced MRI with DWI.

Multi-Variate Tabular Data Processing and Visualization Scheme for Machine Learning based Analysis: A Case Study using Titanic Dataset (기계 학습 기반 분석을 위한 다변량 정형 데이터 처리 및 시각화 방법: Titanic 데이터셋 적용 사례 연구)

  • Juhyoung Sung;Kiwon Kwon;Kyoungwon Park;Byoungchul Song
    • Journal of Internet Computing and Services
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    • v.25 no.4
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    • pp.121-130
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    • 2024
  • As internet and communication technology (ICT) is improved exponentially, types and amount of available data also increase. Even though data analysis including statistics is significant to utilize this large amount of data, there are inevitable limits to process various and complex data in general way. Meanwhile, there are many attempts to apply machine learning (ML) in various fields to solve the problems according to the enhancement in computational performance and increase in demands for autonomous systems. Especially, data processing for the model input and designing the model to solve the objective function are critical to achieve the model performance. Data processing methods according to the type and property have been presented through many studies and the performance of ML highly varies depending on the methods. Nevertheless, there are difficulties in deciding which data processing method for data analysis since the types and characteristics of data have become more diverse. Specifically, multi-variate data processing is essential for solving non-linear problem based on ML. In this paper, we present a multi-variate tabular data processing scheme for ML-aided data analysis by using Titanic dataset from Kaggle including various kinds of data. We present the methods like input variable filtering applying statistical analysis and normalization according to the data property. In addition, we analyze the data structure using visualization. Lastly, we design an ML model and train the model by applying the proposed multi-variate data process. After that, we analyze the passenger's survival prediction performance of the trained model. We expect that the proposed multi-variate data processing and visualization can be extended to various environments for ML based analysis.