• Title/Summary/Keyword: SW quality

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Relationships of Muscle Fiber Characteristics to Dietary Energy Density, Slaughter Weight, and Muscle Quality Traits in Finishing Pigs

  • Jeong, Jin-Yeon;Kim, Gap-Don;Ha, Duck-Min;Park, Man-Jong;Park, Byung-Chul;Joo, Seon-Tea;Lee, C.-Young
    • Journal of Animal Science and Technology
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    • v.54 no.3
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    • pp.175-183
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    • 2012
  • The present study was conducted to investigate the relationships of muscle fiber characteristics to dietary energy density [3.0(Low-E) vs. 3.2 (Med-E) Mcal DE/kg)] and slaughter weight [SW; 110, 125, and 138 kg] in finishing pigs (gilt vs. barrow) using a $2{\times}3{\times}2$ factorial treatment design. Forty-one longissimus dorsi muscle (LM) samples were analyzed histochemically, with growth performance and physicochemical data for the 41 animals and their LM out of 192 animals and 72 LM used in a previous study retrospectively included. The ADG was less (P<0.01) in the Low-E than in the Med-E group (0.93 vs. 0.73 kg) whereas lightness ($L^*$) and redness ($a^*$) of LM were greater in the Low-E group SW did not influence these variables. The diameter and perimeter of the type I (slow-oxidative), type IIA (fast oxido-glycolytic) and type IIB (fast glycolytic) fibers increased with increasing SW whereas densities of the fibers decreased. However, the number and area percentages of the fiber types were not influenced by SW or dietary energy density. The percentage and per-$mm^2$ density of type IIB fibers were negatively correlated with SW (r = -0.33 and -0.57, with P<0.05 and <0.01, respectively), whereas type I fiber number percentage was positively correlated with SW (r = 0.31; P<0.05). Marbling score was negatively correlated (P<0.05) with type I (r = -0.36) and type IIB (r = -0.39) fiber densities. The $a^*$ was correlated (P<0.01) with both type I and type IIB fiber number percentages in the opposite way (r = 0.42 and -0.47, respectively). However, $L^*$ (lightness), drip loss and $pH_{24h}$ were not correlated with the fiber number percentage or density of any fiber type. Collectively, results indicate that muscle fibers grow by hypertrophy during the late finishing period, but that fiber characteristics other than the size are not significantly influenced by dietary energy density or SW.

Research for improving quality of SI(System integration) development project (시스템 통합(SI) 구축 사업 품질 향상을 위한 연구)

  • Kim, Seok-Kwan;Ryu, Gab-Sang
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.3
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    • pp.215-220
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    • 2018
  • This paper limited the participation of large corporations in the mass information market by revising the Software Industry Promotion Act in order to increase business opportunity, equality of opportunity, and capacity building for small and medium sized IT companies. However, it is a fact that the medium and small SW companies have insufficient business capacity and expose various problems such as quality degradation of public information business, inadequate risk management, and deterioration of schedule management. In order to solve this problem, this paper derived the factors of quality deterioration in the system integration project and proposed to carry out the project by using some activities of VISUALIZATION, rigorous test management and Agile Methodology as a solution. Applying these measures to healthcare IT projects developed by midsize / small-sized IT companies has improved communications, improved quantitative progress management and improved project visibility. In addition, it contributed to minimizing defect resolution time, improving the requirement coverage ratio, and shortening unnecessary meeting time.

A Analysis Pattern of Defect with SW Quality Characteristics (SW 품질 특성 별 결함 유형 분석)

  • Lee, Sang-Bok;Chung, Chang-Shin;Shin, Seok-Kyoo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.11a
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    • pp.365-368
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    • 2005
  • 최근 소프트웨어 산업에서 소프트웨어 품질이 화두가 되고 있으며 소프트웨어 제품 개발 시 소프트웨어 품질 및 시험 개념을 적용하지 않으면 소프트웨어 시장에서 외면될 가망성이 높아지고 있다. 그로 인해 TTA SW 시험인증 센터에서 소프트웨어 품질을 높이기 위해 GS 시험인증을 서비스 하고 있다. 소프트웨어 시험을 통한 결함 분석을 통해 소프트웨어 제품 개발 시 개발 프로세스에 반영하고 개발자가 소프트웨어 제품을 구현 시 결함에 대한 분석정보를 활용할 수 있도록 소프트웨어 품질특성 중 결함이 많이 발생하는 부분에 결함 유형을 정의하고 사전에 방지할 수 있는 해결방법을 제시한다.

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Study on Red and Black Heartwood Properties of Cryptomeria Japonica in Southern Region of Korea

  • Won, Kyung-Rok;Jung, Su-Young;Yoo, Byung-Oh;Hong, Nam-Euy;Byeon, Hee-Seop
    • Journal of the Korean Wood Science and Technology
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    • v.45 no.6
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    • pp.753-761
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    • 2017
  • The heartwood (HW) of Japanese cedar (Cryptomeria japonica) has usually a reddish color. But some trees have black-colored heartwood (BHW). BHW of Japanese cedar has a low commercial value because of the appearance. Therefore, in this study, a comparative analysis was conducted to evaluate the differences in the physical, mechanical, and inorganic element properties, and decay resistance of red-colored heartwood tree (RHW) and BHW. The physical properties showed significant difference between sapwood (SW) and HW, but there was no significant difference between RHW and BHW. From the results of mechanical properties, no significant difference was recognized in SW of RHW, HW of RHW, SW of BHW, and HW of BHW. There were decay resistance differences between RHW and BHW in HW, and between HW and SW in both RHW and BHW, respectively. The magnesium (Mg), potassium (K), and calcium (Ca) contents had significant differences between SW and HW in both RHW and BHW. In this present study, the decay resistances and the contents of Mg and K were higher in HW than in SW both for RHW and BHW, while these measurements were lower in RHW than in BHW. Therefore, BHW was considered to be worthy as a high-quality material as RHW.

Detection of Quantitative Trait Loci Affecting Fat Deposition Traits in Pigs

  • Choi, B.H.;Lee, K.T.;Lee, H.J.;Jang, G.W.;Lee, H.Y.;Cho, B.W.;Han, J.Y.;Kim, T.H.
    • Asian-Australasian Journal of Animal Sciences
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    • v.25 no.11
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    • pp.1507-1510
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    • 2012
  • Quantitative trait loci (QTL) associated with fat deposition traits in pigs are important gene positions in a chromosome that influence meat quality of pork. For QTL study, a three generation resource population was constructed from a cross between Korean native boars and Landrace sows. A total of 240 F2 animals from intercross of F1 were produced. 80 microsatellite markers covering chromosomes 1 to 10 were selected to genotype the resource population. Intervals between adjacent markers were approximately 19 cM. Linkage analysis was performed using CRIMAP software version 2.4 with a FIXED option to obtain the map distances. For QTL analysis, the public web-based software, QTL express (http://www.qtl.cap.ed.ac.uk) was used. Two significant and two suggestive QTL were identified on SSC 6, 7, and 8 as affecting body fat and IMF traits. For QTL affecting IMF, the most significant association was detected between marker sw71 and sw1881 on SSC 6, and a suggestive QTL was identified between sw268 and sw205 on SSC8. These QTL accounted for 26.58% and 12.31% of the phenotypic variance, respectively. A significant QTL affecting IMF was detected at position 105 cM between markers sw71 and sw1881 on SSC 6.

Development of Digital Contents to Improve Computational Thinking

  • Ryu, Mi-Young;Han, Sun-Gwan
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.12
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    • pp.87-93
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    • 2017
  • The purpose of this study is to design and develop of digital contents to improve computational thinking in the online education environment. First, we planned the design and development of contents with 19 experts of Software education. Digital content was designed from the point of view of improving the educational quality and the quality of contents for the improve of computing thinking. The content type is classified into the SW education area; computer science, programming, physical computing, convergent computing, computing thinking, and software education that improves the computing thinking. And we designed 45 learning programs for each SW education area. Designed learning contents were developed in 464 lessons to suit the online education environment. The content validity of the proposed content was verified by the expert group and the average CVI value was over .83. Through this, we could analyze that the developed contents will help learners to expand their computing thinking.

The Software Process Assessment of Software Companies by Analyzing Software Process Capability Level (SW프로세스 능력수준 분석을 통한 국내 SW기업 프로세스 진단)

  • Lee, Sang-Eun;Yang, Hae-Sool
    • Journal of Information Technology Services
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    • v.6 no.3
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    • pp.129-139
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    • 2007
  • It is essential to perform the software process improvement activities to reinforce the software quality. Some companies are trying to improve the software process capability by establishing and implementing the software process improvement strategies voluntarily. But, the whole software industry is not active yet in terms of software process improvement. In this paper, we surveyed 'Software Process Capability Level' of software companies, analyzed the strength and weakness of the companies and provided with systematic approaches to improve Software Process capability. So, this paper contributes that software companies vigorously focus on the Software Process Improvement and eventually have the global competitiveness in terms of software quality.

Uncooperative Person Recognition Based on Stochastic Information Updates and Environment Estimators

  • Kim, Hye-Jin;Kim, Dohyung;Lee, Jaeyeon;Jeong, Il-Kwon
    • ETRI Journal
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    • v.37 no.2
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    • pp.395-405
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    • 2015
  • We address the problem of uncooperative person recognition through continuous monitoring. Multiple modalities, such as face, height, clothes color, and voice, can be used when attempting to recognize a person. In general, not all modalities are available for a given frame; furthermore, only some modalities will be useful as some frames in a video sequence are of a quality that is too low to be able to recognize a person. We propose a method that makes use of stochastic information updates of temporal modalities and environment estimators to improve person recognition performance. The environment estimators provide information on whether a given modality is reliable enough to be used in a particular instance; such indicators mean that we can easily identify and eliminate meaningless data, thus increasing the overall efficiency of the method. Our proposed method was tested using movie clips acquired under an unconstrained environment that included a wide variation of scale and rotation; illumination changes; uncontrolled distances from a camera to users (varying from 0.5 m to 5 m); and natural views of the human body with various types of noise. In this real and challenging scenario, our proposed method resulted in an outstanding performance.

Classification-Based Approach for Hybridizing Statistical and Rule-Based Machine Translation

  • Park, Eun-Jin;Kwon, Oh-Woog;Kim, Kangil;Kim, Young-Kil
    • ETRI Journal
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    • v.37 no.3
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    • pp.541-550
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    • 2015
  • In this paper, we propose a classification-based approach for hybridizing statistical machine translation and rulebased machine translation. Both the training dataset used in the learning of our proposed classifier and our feature extraction method affect the hybridization quality. To create one such training dataset, a previous approach used auto-evaluation metrics to determine from a set of component machine translation (MT) systems which gave the more accurate translation (by a comparative method). Once this had been determined, the most accurate translation was then labelled in such a way so as to indicate the MT system from which it came. In this previous approach, when the metric evaluation scores were low, there existed a high level of uncertainty as to which of the component MT systems was actually producing the better translation. To relax such uncertainty or error in classification, we propose an alternative approach to such labeling; that is, a cut-off method. In our experiments, using the aforementioned cut-off method in our proposed classifier, we managed to achieve a translation accuracy of 81.5% - a 5.0% improvement over existing methods.

Hole-Filling Methods Using Depth and Color Information for Generating Multiview Images

  • Nam, Seung-Woo;Jang, Kyung-Ho;Ban, Yun-Ji;Kim, Hye-Sun;Chien, Sung-Il
    • ETRI Journal
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    • v.38 no.5
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    • pp.996-1007
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    • 2016
  • This paper presents new hole-filling methods for generating multiview images by using depth image based rendering (DIBR). Holes appear in a depth image captured from 3D sensors and in the multiview images rendered by DIBR. The holes are often found around the background regions of the images because the background is prone to occlusions by the foreground objects. Background-oriented priority and gradient-oriented priority are also introduced to find the order of hole-filling after the DIBR process. In addition, to obtain a sample to fill the hole region, we propose the fusing of depth and color information to obtain a weighted sum of two patches for the depth (or rendered depth) images and a new distance measure to find the best-matched patch for the rendered color images. The conventional method produces jagged edges and a blurry phenomenon in the final results, whereas the proposed method can minimize them, which is quite important for high fidelity in stereo imaging. The experimental results show that, by reducing these errors, the proposed methods can significantly improve the hole-filling quality in the multiview images generated.