• Title/Summary/Keyword: Industry classification

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Impact of Diverse Document-evaluation Measure-based Searching Methods in Big Data Search Accuracy (빅데이터 검색 정확도에 미치는 다양한 측정 방법 기반 검색 기법의 효과)

  • Kim, Ji young;Han, DaHyeon;Kim, Jongkwon
    • Journal of KIISE
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    • v.44 no.5
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    • pp.553-558
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    • 2017
  • With the rapid growth of Big Data, research on extracting meaningful information is being pursued by both academia and industry. Especially, data characteristics derived from analysis, and researcher intention are key factors for search algorithms to obtain accurate output. Therefore, reflecting both data characteristics and researcher intention properly is the final goal of data analysis research. The data analyzed properly can help users to increase loyalty to the service provided by company, and to utilize information more effectively and efficiently. In this paper, we explore various methods of document-evaluation, so that we can improve the accuracy of searching article one of the most frequently searches used in real life. We also analyze the experiment result, and suggest the proper manners to use various methods.

Cancer Risks among Welders and Occasional Welders in a National Population-Based Cohort Study: Canadian Census Health and Environmental Cohort

  • MacLeod, Jill S.;Harris, M. Anne;Tjepkema, Michael;Peters, Paul A.;Demers, Paul A.
    • Safety and Health at Work
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    • v.8 no.3
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    • pp.258-266
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    • 2017
  • Background: Welders are exposed to many known and suspected carcinogens. An excess lung cancer risk among welders is well established, but whether this is attributable to welding fumes is unclear. Excess risks of other cancers have been suggested, but not established. We investigated welding cancer risks in the population-based Canadian Census Health and Environmental Cohort. Methods: Among 1.1 million male workers, 12,845 welders were identified using Standard Occupational Classification codes and followed through retrospective linkage of 1991 Canadian Long Form Census and Canadian Cancer Registry (1992-2010) records. Hazard ratios (HRs) were calculated using Cox proportional hazards models based on estimated risks of lung cancer, mesothelioma, and nasal, brain, stomach, kidney, and bladder cancers, and ocular melanoma. Lung cancer histological subtypes and risks by industry group and for occasional welders were examined. Some analyses restricted comparisons to blue-collar workers to minimize effects of potential confounders. Results: Among welders, elevated risks were observed for lung cancer [HR: 1.16, 95% confidence interval (CI): 1.03-1.31], mesothelioma (HR: 1.78, 95% CI: 1.01-3.18), bladder cancer (HR: 1.40, 95% CI: 1.15-1.70), and kidney cancer (HR: 1.30, 95% CI: 1.01-1.67). When restricted to blue-collar workers, lung cancer and mesothelioma risks were attenuated, while bladder and kidney cancer risks increased. Conclusion: Excess risks of lung cancer and mesothelioma may be partly attributable to factors including smoking and asbestos. Welding-specific exposures may increase bladder and kidney cancer risks, and particular sources of exposure should be investigated. Studies that are able to disentangle welding effects from smoking and asbestos exposure are needed.

Classification of Upper Torso Somatotype for Development of Senior Men's Dressform (시니어 남성의 기성복 피팅용 드레스폼 개발을 위한 상반신 체형분류)

  • Do, Wolhee;Choi, Eunhee
    • Fashion & Textile Research Journal
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    • v.19 no.6
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    • pp.804-812
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    • 2017
  • This study builds a database that can be reflected in the production of dress form for fitting by typifying the upper body shape of a senior male. This study analyzed the 3D shape data of 405 persons of the 5th Size Korea. The age range is from 50s 210 persons and 60s 205 persons. Analysis items to identify upper body shape of senior males consisted of 51 items. 3D shape data were also measured using a Geomagic Design ${\times}$ program for the analysis of the upper body of the senior male required for the dress form of this study. The reference point was based on the Size Korea 2010 3D measurement standard and created points (Back-protrusion) on shape data. As a result of the senior men type, the senior men's body type was classified into four types:1. Overall, the upper body is a large body type and the most undistorted overall body type 2. Width / Thickness Flatness is the largest and vertical length factor is the smallest abdominal obesity type 3. Severe flexion of the back part type 4. The upper body is small and the scapular bending is severe. The elderly body type showed a high distribution ratio in the type with severe flexion. The development of a dress form that reflects the cause of the finery issue can improve the fit of ready-to-wear.

Classification of Breast Shape of Women Aged 11~15 Using 3D Body Scan Data (3D 인체 스캔 데이터를 이용한 11~15세 성장기 여성의 유방형태에 따른 유형 분류)

  • Han, Tingting;Song, Hwa Kyung;Lee, Kyu Sun
    • Fashion & Textile Research Journal
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    • v.19 no.6
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    • pp.786-794
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    • 2017
  • The purpose of this study is to analyze and classify breast shape of women aged 11~15 using 3D body scan data. In this study, 250 women's body scans were selected from the 6th Size Korea dataset, and 30 items from each of the scan were measured using RapidForm XOR 3 program. The principal component analysis and cluster analysis were conducted using statistical program SPSS 17.0. The five principal components were identified; breast drooping and breast capacity, size from chest to under bust area, breast protrusion, breast height, and under breast angle & outer distance of breast. As the results of cluster analysis, woman's breast types were classified into four types. The breast type 1 was protrusion type (25.1%) which is considered as the breast maturity stage. The breast type 2 had the most drooped breast covering a large area (20.2%). The breast type 3 had the least prominent breast with a highest nipple point, which was considered as the early breast development stage (38.9%). The breast type 4 had the obesity of the chest and breast circumferences with the slightly prominent and the least drooped breast (15.8%). This study can provide fundamental information to develop sizing system and brassiere pattern for junior girls.

What Quality Factors Affect to the e-Learning Performance (e-러닝 성과에 영향을 미치는 품질요인에 관한 연구)

  • Kim, Sung-Gyun;Sung, Hang-Nam;Jeong, Dae-Yul
    • The Journal of Information Systems
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    • v.16 no.1
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    • pp.201-230
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    • 2007
  • Recently, the growth of e-Learning systems and its related information technology has presented a unique challenge for both schools and industry. It would make an extremely phenomenal paradigm shift in the educational method and practice. Methods of assessing the quality of e-teaming services and contents are critical issue in both practice and research. Moreover, many researchers are interested in what qualify factors more affect to the Performance of e-Learning service. Nevertheless, service quality is a construct that is difficult to define and measure. e-Learning services are composed of many factors, and they are more complicated than the traditional education services because they we performed on the distance basis and the many platforms of IT infrastructure. The purposes of our research are to classify the e-Learning service dimension and identify their factors, to develop the measurement of the factors, and finally to test empirically their relationship between the service factors and e-Learning service performance. For the development of the service factors we considered SERVQUAL model and SERVPERF model which were developed in the service marketing area. The SERVQUAL model was more fitted to the e-Learning services than the latter. From that we derived several factors that fit to our research domain, ie, tangibles, access, reliability, credibility, security, responsiveness, assurance, empathy. We combined three factors of them(reliability, credibility, security) into a factor, system stability for the semantic simplicity, and divided responsiveness factor into system operator responsiveness and teacher responsiveness as the entity based dimension classification. In the e-Learning services research, Most researcher are mentioned the quality factors of contents, so we added to two contents quality factors, ie, contents production method and richness of contents itself. We examined the relationship between the service quality factors and e-Learning performance(student satisfaction and service reuse intention). As result three quality factors(contents production method, teacher responsiveness, empathy) significantly affected student satisfaction. To the other performance variable, ie, service reuse intention, the teacher related quality factors(such as teacher responsiveness, assurance, empathy) affected only. In conclusion, even in the on-line distance teaming, the teacher's role md earnestness is as important as ever.

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Rotor Fault Detection of Induction Motors Using Stator Current Signals and Wavelet Analysis

  • Hyeon Bae;Kim, Youn-Tae;Lee, Sang-Hyuk;Kim, Sungshin;Wang, Bo-Hyeun
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.539-542
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    • 2003
  • A motor is the workhorse of our industry. The issues of preventive and condition-based maintenance, online monitoring, system fault detection, diagnosis, and prognosis are of increasing importance. Different internal motor faults (e.g., inter-turn short circuits, broken bearings, broken rotor bars) along with external motor faults (e.g., phase failure, mechanical overload, blocked rotor) are expected to happen sooner or later. This paper introduces the fault detection technique of induction motors based upon the stator current. The fault motors have rotor bar broken or rotor unbalance defect, respectively. The stator currents are measured by the current meters and stored by the time domain. The time domain is not suitable to represent the current signals, so the frequency domain is applied to display the signals. The Fourier Transformer is used for the conversion of the signal. After the conversion of the signals, the features of the signals have to be extracted by the signal processing methods like a wavelet analysis, a spectrum analysis, etc. The discovered features are entered to the pattern classification model such as a neural network model, a polynomial neural network, a fuzzy inference model, etc. This paper describes the fault detection results that use wavelet decomposition. The wavelet analysis is very useful method for the time and frequency domain each. Also it is powerful method to detect the features in the signals.

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A Study on the Development of Measurement Instruments for the Business Model of Electronic Commerce in the Strategic Perspective (전략적 관점에서 본 전자상거래 비즈니스 모델의 측정도구 개발에 관한 연구)

  • Song Young-Il;Jeon Ho-Il
    • The Journal of Information Systems
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    • v.15 no.3
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    • pp.1-34
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    • 2006
  • The purpose of this study Is to develop empirically validated instrument for business model. The previous researches related to business model were almost taxonomies. And the focus of those researches were the classification by the degree of integration and innovation the origin, and the main source of revenue etc. In the emerging fields such as IT, e-commerce, and e-business, it tends to overlook methodological issue in its substantive relationships and also measurement. Business model is taken an interest in recent years. However, as the non-establishment of construct on business model has made no empirical study, this, study tries to develop an empirical validated instrument that identifies the dimensions of business model by uncovering meaningful group or categories. For this, the outlined domain of business model are defined as an organizational level that competes in the industry through the literature reviews. And the traits such as process integration, value chain reconstruction, strategic alliance with another business model, specialty in a certain wet sustainability of essential capabilities, differentiation, convertibility, customer orientation, revenue stream, newness, innovation leadership: and vision sharing are identified in those respective domains, and then the traits are classified into five dimensions such as interlinkageableness, valueness, functionalness, preemptiveness, and goalness by their characteristics. Generating items are continued on the basis of operationalization. Confirmatory factor analysis is performed in order to develop validated instrument with LISREL measurement model. Finally the instrument is developed through the previous procedure. The implication of this study is the first empirical effort to assess business model. The resulting instrument can be used with dependent variables in the future study related to business model. And the establishment of construct of business model is able to make a basis to rise an additional issue consequently. In the practical side, the instrument also can be employed as an assessment framework that can assess whether the expected value success or not. The instrument with the measurement can be used on competitor's business model, In. When an investment into a i-m with a specific business model, these instrument developed can be presented as the basic framework of assessment.

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A Study on the Development of National Competency Steandards(NCS) in the Guard (경호분야 국가직무능력표준(NCS) 개발에 관한 연구)

  • Kim, Dong-Ho;Kim, Sin Hye;Kim, Minsu
    • Convergence Security Journal
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    • v.16 no.2
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    • pp.35-53
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    • 2016
  • For the development of national competency standards to successfully perform the duties by systemizing the contents of education and training such as knowledge technology grounding required to perform the duties in the industrial field, the necessity has been raised in that it can solve the time and cost of re-investment through retraining and train high-quality human resources required in the industrial field. For the development of the education and training process with a focus on duty performers for the security sector classifying work and duties into 1:1 among sub-categories based on the NCS classification system, this study enhances the site suitability of security sector education and proposes the development of the practical education and training process required by the industry by using NCS development manual and DACUM technique, the worker-centered job analysis considering 'correlation' with the actual work, 'applicability' of progress and 'efficiency' for costs and time.

Key Performance Indicators of Building Project (건축 프로젝트의 경영성과지표 선정 연구)

  • Choi, Jae-Hwi;Sohn, Hyo-Won;Kim, Sun-Kuk
    • Journal of the Korea Institute of Building Construction
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    • v.11 no.1
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    • pp.61-72
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    • 2011
  • Management performance of a construction company can be the sum of management performance of each different project. Therefore, the measurement of management performance following construction projects is essential for securing the competitiveness of a company. However, most research has been related to the performance measurement of the construction industry and companies and little has been conducted on individual project's performance. In particular, building projects have various characteristics depending on construction orderer, type and commissioning entity but no performance indicators have been selected based on this classification. This study aims to select performance indicators for subdivided areas based on project characteristics as well as those which can be commonly used to measure management performance at construction and trial run stages of building projects. In the future, those indicators proposed in this study can be used for developing methodology to evaluate them and later applied to actual building projects to generate quantitative data. In addition, they are expected to be used as reference for selecting indicators to measure management performance of plant and civil engineering projects.

Recycling Factor Analysis on Wood Wastes in the Construction Site by Classification Origination Reason (건설현장 폐목재의 발생원인 분류를 통한 재활용 요인분석)

  • Jung, Chan-Young;Kim, Jae-Jun;Jung, Young-Gi
    • Korean Journal of Construction Engineering and Management
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    • v.8 no.1 s.35
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    • pp.107-115
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    • 2007
  • Today's human life is more conveniently advantaged and abundant as industrial society advanced. However, the development has been creating a serious environmental crisis. Environmental pollution and exhaustion of natural resources recently became an important issue in construction industry as well as the concern about construction waste management and recycling the resources has arisen. Because the industrial wastes are not only increased quantitatively but also qualitatively intricate and various, groping for ways of reducing the use of resources primarily and recycling is urged on promotion. Currently, only about 33% of the wood wastes produced in construction site are recycled and the others are incinerated or disposed through irregular circulation process. In this study, I will investigate the present status of generating, processing, and recycling construction wood wastes and compare domestic disposal trend to other countries. In addition, I will analyze the actual condition of processing wood wastes in the construction site, verify the irrational causes, and simplify anomalous factors for the purpose of more efficient and correct activation of wood waste treatment and recycling on construction field and protection of environment in the long run.