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Development of ITB Risk Mgt. Model Based on AI in Bidding Phase for Oversea EPC Projects (플랜트 EPC 해외 사업을 위한 입찰단계 시 AI 기반의 ITB Risk 관리 모델 개발)

  • Lee, Don-Hee;Yoon, Gun-Ho;Kim, Jeong-Joon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.4
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    • pp.151-160
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    • 2019
  • EPC companies to continue operating overseas, it is increasingly becoming apparent that risk is no longer something to be avoided but a subject to be managed. During the bidding stage, the requirements, specifications and project line items within the bid package must be studied in details to analyze the various risk factors in order to avoid cost overruns. However, reviewing vast quantities of bidding documents is time consuming and labor intensive and is not an easy task and this is where automated information technology can help. For this study, I have constructed an ITB analysis model based on Watson AI that can analyze and apply vast amount of documents more effectively in a short time. Configuration of the Watson Explorer AI architecture for AI-based ITB risk management model research, the selection of learning procedures and analysis subjects, and the performance evaluation criteria were defined, and a test bed was constructed to conduct a pilot research. Consequently, I verified the effectiveness of the analytical time reduction and the quality of its results and VOC operations by professionals.

Genetic diversity of Indonesian cattle breeds based on microsatellite markers

  • Agung, Paskah Partogi;Saputra, Ferdy;Zein, Moch Syamsul Arifin;Wulandari, Ari Sulistyo;Putra, Widya Pintaka Bayu;Said, Syahruddin;Jakaria, Jakaria
    • Asian-Australasian Journal of Animal Sciences
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    • v.32 no.4
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    • pp.467-476
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    • 2019
  • Objective: This research was conducted to study the genetic diversity in several Indonesian cattle breeds using microsatellite markers to classify the Indonesian cattle breeds. Methods: A total of 229 DNA samples from of 10 cattle breeds were used in this study. The polymerase chain reaction process was conducted using 12 labeled primers. The size of allele was generated using the multiplex DNA fragment analysis. The POPGEN and CERVUS programs were used to obtain the observed number of alleles, effective number of alleles, observed heterozygosity value, expected heterozygosity value, allele frequency, genetic differentiation, the global heterozygote deficit among breeds, and the heterozygote deficit within the breed, gene flow, Hardy-Weinberg equilibrium, and polymorphism information content values. The MEGA program was used to generate a dendrogram that illustrates the relationship among cattle population. Bayesian clustering assignments were analyzed using STRUCTURE program. The GENETIX program was used to perform the correspondence factorial analysis (CFA). The GENALEX program was used to perform the principal coordinates analysis (PCoA) and analysis of molecular variance. The principal component analysis (PCA) was performed using adegenet package of R program. Results: A total of 862 alleles were detected in this study. The INRA23 allele 205 is a specific allele candidate for the Sumba Ongole cattle, while the allele 219 is a specific allele candidate for Ongole Grade. This study revealed a very close genetic relationship between the Ongole Grade and Sumba Ongole cattle and between the Madura and Pasundan cattle. The results from the CFA, PCoA, and PCA analysis in this study provide scientific evidence regarding the genetic relationship between Banteng and Bali cattle. According to the genetic relationship, the Pesisir cattle were classified as Bos indicus cattle. Conclusion: All identified alleles in this study were able to classify the cattle population into three clusters i.e. Bos taurus cluster (Simmental Purebred, Simmental Crossbred, and Holstein Friesian cattle); Bos indicus cluster (Sumba Ongole, Ongole Grade, Madura, Pasundan, and Pesisir cattle); and Bos javanicus cluster (Banteng and Bali cattle).

The Effect of Both Employees' Attitude toward Technology Acceptance and Ease of Technology Use on Smart Factory Technology Introduction level and Manufacturing Performance (종업원 기술수용태도와 기술 사용용이성이 스마트공장 기술 도입수준과 제조성과에 미치는 영향)

  • Oh, Ju Hwan;Seo, Jin Hee;Kim, Ji Dae
    • Journal of Information Technology Applications and Management
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    • v.26 no.2
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    • pp.13-26
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    • 2019
  • The purpose of this study is to examine the effect of each of the two technology acceptance factors(employees' attitude toward smart factory technology, and ease of smart factory technology use) on the introduction level of each of the three smart factory technologies (manufacturing big data technology, automation technology, and supply chain integration technology), and in turn, the effect of each of the three smart factory technologies on manufacturing performance. This study employed PLS statistics software package to empirically validate a structural equation model with survey data from 100 domestic small-and medium-sized manufacturing firms (SMMFs). The analysis results revealed the followings. First, it is founded that employees' attitude toward smart factory technology influenced all of the three smart factory technology introduction levels in a positive manner. In particular, SMMFs of which employees had more favorable attitude toward smart factory technology tended to increase introduction levels of both automation technology and supply chain integration technology more than in the case of manufacturing big data technology. Second, ease of smart factory technology use also had a positive impact on each of the three smart factory technology introduction levels, respectively. A noteworthy finding is this : SMMFs which perceived smart factory technology as easier to use would like to elevate the introduction level of manufacturing big data technology more than in the cases of either automation technology or supply chain integration technology. Third, smart factory technologies such as automation technology and supply chain integration technology had affirmative impacts on manufacturing performance of SMMFs. These results shed some valuable insights on the introduction of smart factory technology : The success of smart factory heavily depends on organization-and people-related factors such as employees' attitude toward smart factory technology and employees' perceived ease of smart factory technology use.

Computer modeling of elastoplastic stress state of fibrous composites with hole

  • Polatov, Askhad M.;Ikramov, Akhmat M.;Khaldjigitov, Abduvali A.
    • Coupled systems mechanics
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    • v.8 no.4
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    • pp.299-313
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    • 2019
  • The paper represents computer modeling of the deformed state of physically nonlinear transversally isotropic bodies with hole. In order to describe the anisotropy of the mechanical properties of transversally-isotropic materials a structurally phenomenological model has been used. This model allows representing the initial material in the form of the coupled isotropic materials: the basic material (binder) considered from the positions of continuum mechanics and the fiber material oriented along the anisotropy direction of the original material. It is assumed that the fibers perceive only the axial tensile-compression forces and are deformed together with the base material. To solve the problems of the theory of plasticity, simplified theories of small elastoplastic deformation have been used for a transversely-isotropic body, developed by B.E. Pobedrya. A simplified theory allows applying the theory of small elastoplastic deformations to solve specific applied problems, since in this case the fibrous medium is replaced by an equivalent transversely isotropic medium with effective mechanical parameters. The essence of simplification is that with simple stretching of composite in direction of the transversal isotropy axis and in direction perpendicular to it, plastic deformations do not arise. As a result, the intensity of stresses and deformations both along the principal axis of the transversal isotropy and along the perpendicular plane of isotropy is determined separately. The representation of the fibrous composite in the form of a homogeneous anisotropic material with effective mechanical parameters allows for a sufficiently accurate calculation of stresses and strains. The calculation is carried out under different loading conditions, keeping in mind that both sizes characterizing the fibrous material fiber thickness and the gap between the fibers-are several orders smaller than the radius of the hole. Based on the simplified theory and the finite element method, a computer model of nonlinear deformation of fibrous composites is constructed. For carrying out computational experiments, a specialized software package was developed. The effect of hole configuration on the distribution of deformation and stress fields in the vicinity of concentrators was investigated.

A Study on the Relationship between Service Quality and Visit Intention in a Cosmetics Unmanned Store : Moderating effect of familiarity (화장품 무인매장의 서비스품질과 방문의도의 관계 연구 : 친숙성의 조절효과)

  • Shin, Dong-Hwa
    • Journal of Convergence for Information Technology
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    • v.12 no.1
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    • pp.153-162
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    • 2022
  • In this study, the relationship between service quality and visit intention of unmanned cosmetics stores was investigated and whether there was a moderating effect of familiarity. To this end, a total of 190 questionnaires were collected and the main results of frequency analysis, exploratory factor analysis, reliability analysis, and correlation analysis using the statistical package SPSS 26.0 are summarized as follows. First, it was found that usefulness, ease, and playfulness, which are components of service quality in unmanned cosmetics stores, had a significant effect on the intention to visit. Second, familiarity was also found to have a significant effect on visit intention, and was found to have the greatest influence on visit intention. Third, as a result of examining the moderating effect of familiarity on the relationship between service quality and visit intention of unmanned cosmetics stores, usefulness, ease, and playfulness were all statistically insignificant, indicating that there was no moderating effect of familiarity. As a result of the above, in order to increase the familiarity, which has the greatest influence on the intention to visit, marketing should be presented emphasizing the promotion or advertisement of unmanned cosmetics stores.

Integrative Comparison of Burrows-Wheeler Transform-Based Mapping Algorithm with de Bruijn Graph for Identification of Lung/Liver Cancer-Specific Gene

  • Ajaykumar, Atul;Yang, Jung Jin
    • Journal of Microbiology and Biotechnology
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    • v.32 no.2
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    • pp.149-159
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    • 2022
  • Cancers of the lung and liver are the top 10 leading causes of cancer death worldwide. Thus, it is essential to identify the genes specifically expressed in these two cancer types to develop new therapeutics. Although many messenger RNA (mRNA) sequencing data related to these cancer cells are available due to the advancement of next-generation sequencing (NGS) technologies, optimized data processing methods need to be developed to identify the novel cancer-specific genes. Here, we conducted an analytical comparison between Bowtie2, a Burrows-Wheeler transform-based alignment tool, and Kallisto, which adopts pseudo alignment based on a transcriptome de Bruijn graph using mRNA sequencing data on normal cells and lung/liver cancer tissues. Before using cancer data, simulated mRNA sequencing reads were generated, and the high Transcripts Per Million (TPM) values were compared. mRNA sequencing reads data on lung/liver cancer cells were also extracted and quantified. While Kallisto could directly give the output in TPM values, Bowtie2 provided the counts. Thus, TPM values were calculated by processing the Sequence Alignment Map (SAM) file in R using package Rsubread and subsequently in python. The analysis of the simulated sequencing data revealed that Kallisto could detect more transcripts and had a higher overlap over Bowtie2. The evaluation of these two data processing methods using the known lung cancer biomarkers concludes that in standard settings without any dedicated quality control, Kallisto is more effective at producing faster and more accurate results than Bowtie2. Such conclusions were also drawn and confirmed with the known biomarkers specific to liver cancer.

Trend Analysis of Pet Plants Before and After COVID-19 Outbreak Using Topic Modeling: Focusing on Big Data of News Articles from 2018 to 2021

  • Park, Yumin;Shin, Yong-Wook
    • Journal of People, Plants, and Environment
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    • v.24 no.6
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    • pp.563-572
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    • 2021
  • Background and objective: The ongoing COVID-19 pandemic restricted daily life, forcing people to spend time indoors. With the growing interest in mental health issues and residential environments, 'pet plants' have been receiving attention during the unprecedented social distancing measures. This study aims to analyze the change in trends of pet plants before and during the COVID-19 pandemic and provide basic data for studies related to pet plants and directions of future development. Methods: A total of 2,016 news articles using the keyword 'pet plants' were collected on Naver News from January 1, 2018 to August 15, 2019 (609 articles) and January 1, 2020 to August 15, 2021 (1,407 articles). The texts were tokenized into words using KoNLPy package, ultimately coming up with 63,597 words. The analyses included frequency of keywords and topic modeling based on Latent Dirichlet Allocation (LDA) to identify the inherent meanings of related words and each topic. Results: Topic modeling generated three topics in each period (before and during the COVID-19), and the results showed that pet plants in daily life have become the object of 'emotional support' and 'healing' during social distancing. In particular, pet plants, which had been distributed as a solution to prevent solitary deaths and depression among seniors living alone, are now expanded to help resolve the social isolation of the general public suffering from COVID-19. The new term 'plant butler' became a new trend, and there was a change in the trend in which people shared their hobbies and information about pet plants and communicated with others in online. Conclusion: Based on these findings, the trend data of pet plants before and after the outbreak of COVID-19 can provide the basis for activating research on pet plants and setting the direction for development of related industries considering the continuous popularity and trend of indoor gardening and green hobby.

Randomized, Double-blind, and Placebo-controlled Human Trial to Evaluate the Efficacy and Safety of Humulus japonicus Extract Powder on Child Height Growth: Study Protocol (소아 키 성장에 미치는 한삼덩굴추출분말의 유효성 및 안전성을 평가하기 위한 무작위배정, 이중눈가림, 위약 대조 인체적용시험: 인체적용시험 프로토콜)

  • Jang Subi;Choi Bom;Cheon Jin Hong;Kim Ki Bong
    • The Journal of Pediatrics of Korean Medicine
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    • v.37 no.3
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    • pp.121-132
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    • 2023
  • Objectives We aimed to confirm whether Humulus japonicus Extract Powder can enhance child height growth significantly and safely compared with a placebo. Methods A total of 150 children between the 3rd and 25th percentiles in height and between the ages of 6 and 9 years will be recruited to participate in this randomized, double-blind, placebo-controlled clinical trial. The participants will be randomly assigned to the treatment or placebo group. Participants in the treatment group will take one pack per day (700 mg of Humulus japonicus Extract Powder) for 24 weeks. Participants in the placebo group will take one package of placebo per day (0 mg of Humulus japonicus Extract Powder) for 24 weeks. The primary outcome will be a change in height after 12 weeks, and the secondary outcomes will be the height after 24 weeks, growth rate, height standard deviation, growth hormone, insulin-like growth factor-1 (IGF-1), insulin-like growth factor binding protein-3 (IGFBP-3), bone alkaline phosphatase (BALP), and osteocalcin after 12 and 24 weeks. Results This protocol was approved by the Institutional Review Board (IRB) of the Korean Medicine Hospital of Busan University (IRB No. PNUKHIRB-2023-03-002). Research participants will be recruited from June 2023 to December 2023. Conclusions The results of this study provide clinical information regarding the effectiveness and safety of the Humulus japonicus Extract Powder in increasing child height.

Effect of Big 5 Personality Trait on a Game Behavior of Game Users (Big 5 성격이 게임이용자의 게임행동에 미치는 영향)

  • Shim, Sun-Ae;Jung, Hyung-Won
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.3
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    • pp.317-332
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    • 2019
  • The purpose of this study is to analyze the personality trait of game users' game behavior and to investigate the differences according to demographic variables. For research, questionnaire survey was conducted for game users of 10~ 40's, and the collected data was analyzed and processed using the statistics package program SPSS 20.0. The results of the study showed that the Big 5 personality traits had a significant impact on game use, and in the case of Conscientiousness, most of them were positive for use of Adaptive games and most of them had negative effects on Maladaptive game use. Even in personal characteristics, a variable showing a significant influence on game use was found, which showed meaningful effects in game platform, game frequency, and occupation. In subsequent research, it is necessary to identify the variables such as types of games or platforms that can reflect characteristics of games, and to understand what kind of roles play in the relationship between game user characteristics and game use behavior.

Solder Alloy Types and Solder Joint Reliability Evaluation Techniques (솔더 합금 종류 및 솔더 조인트의 신뢰성 평가 기법)

  • You-Gwon Kim;Heon-Su Kim;Tae-Wan Kim;Hak-Sung Kim
    • Journal of the Microelectronics and Packaging Society
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    • v.30 no.1
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    • pp.17-29
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    • 2023
  • In this paper, a method for evaluating the reliability of solder joints is introduced, as they play a crucial role in packaging technology due to the miniaturization and high-performance requirements of electronic device. Firstly, properties of solder based on various alloy compositions and solder types are described, followed by an analysis of solder joint structures in different packages. Next, the influence of solder alloy composition and microstructure on the thermal and mechanical properties of solder is analyzed, and solder creep behavior is briefly introduced. Subsequently, analytical techniques considering creep models and fatigue models for reliability evaluation are presented, and various ways to improve the reliability of solder joints are discussed. This study is expected to provide valuable information for evaluating and enhancing the reliability of solder joints in the semiconductor packaging technology field.