Profile의 Composite와 Multiple Single-Segment Control의 비교 연구

김준호(Jun-Ho Kim),장성호(Sung-Ho Chang),라두완(Doo-Wan Ra) 한국산업경영시스템학회 2016 한국산업경영시스템학회지 Vol.39 No.4

As manufacturing industries become globalized, product design affects every area of organization. The design sets the goals for a number of different departments, so if it fails to effectively communicate these goals, the entire organization is less efficient. In addition, To communicate clearly, the design must represent a product that meets its technical specification. GD&T (Geometric Dimensioning and Tolerancing) is one of the most important factors, which has an effect on efficiency of manufacture system, in designing products. However, most of designers in different industries are prone to ignore the importance of GD&T. To analyse the importance of GD&T compliance with international standards for design drawing, a comparison analysis of the difference between two methods, composite profile control and multiple single segment profile control, is performed on three different cases and suggests how it used to be more suitable. Composite profile tolerance is specified by a dual feature control frame that has one profile symbol specified with two lines of tolerance information. Whereas a multiple single segment profile control is when two or more single segment profile callouts are used to define the location and/or orientation and/or size and/or form of a part feature. In this study, the following results will be provided : a clear definition and an obvious difference of the tolerance zone, datums and datums sequence and minimization of tolerances. On this study, composite profile tolerance and multiple single segment profile tolerance were discussed. Next steps of research will consist on reaching more accurate results for profile control. Further research will be focused on dealing with the remaining 14 symbols of GD&T.

Multilevel Multiple-Group Latent Profile Analysis of Instructional Practices in Science: Cross-national Comparison between Korea and Japan : 다층 다집단 잠재 프로파일 분석의 적용: 한국과 일본의 과학교과 수업 인식 사례

손윤희(Son, Yoonhee),홍유정(Hong, Yujung),박현정(Park, Hyun-Jeong),김전옥(Kim, Junok) 한국교육학회 2021 敎育學硏究 Vol.59 No.7

이 연구에서는 Morin et al. (2016)에서 제시한 다집단 잠재 프로파일 접근법을 다층 모형으로 확장하고, 이를 실제 자료에 적용해보는 데 목적이 있다. 이 연구에서는 과학 수업 방식에 대한 학생들의 인식 유형을 구분하고 국가 간 비교하기 위하여, PISA 2015의 한국, 일본 자료를 활용하였다. 이를 위해 다층 다집단 잠재 프로파일 분석(MMLPA)을 7단계로 나누어 실시하였으며, 분석 결과는 다음과 같다. 첫째, 이 연구에서는 PISA 2015 예시 자료를 활용한 다층 자료 분석 시, 다층 잠재 프로파일이 단수준 잠재 프로파일보다 적합한 것으로 나타났다. 둘째, 두 번째와 세 번째 단계에서는 한국과 일본에서 다층 잠재 프로파일의 형태적 및 구조적 유사성이 충족되었으며 두 국가에서 가장 적합한 모형은 4개 잠재 프로파일로 나타났다. 이후, 4~7단계에서는 잠재 프로파일의 분산 및 분포, 예측변수와의 관계, 평균이 두 국가 간 동일한 지 살펴봄으로써, 잠재 프로파일 특성의 차이가 국가의 맥락에서 해석될 수 있는지를 확인하였다. 이 연구는 학생이 학교에 내재한 다층 자료의 특성을 반영한 잠재 프로파일을 도출하고, 이를 활용하여 국가 간 다층 잠재 프로파일의 특성을 비교할 수 있는 접근을 제안하였다는 점에서 의의가 있다. This study aims to extend the multi-group latent profile approach proposed by Morin et al. (2016) to a multilevel context and to provide an illustration with real-world data. Specifically, multilevel multiple-group latent profile analysis (MMLPA) models were fitted following seven steps to classify students according to their perception of instructional practices in science classrooms and to compare the latent profiles of two countries using Korean and Japanese data from the Programme for International Student Assessment (PISA) 2015. The results are as follows. First, multilevel latent profile analysis models fit better than single-level models. Second, configurational and structural similarity were satisfied for both countries in the second and third steps, and the four-profile solution had the best fit. Third, the means, variances, and distributions of latent profiles and their relationships to the predictors were similar for both countries, indicating that the differences across latent profiles could be attributed to the educational context of each country. The study results show that MMLPA can provide latent profile probabilities accounting for clustered data where students are nested within a school, enabling the international comparison of the characteristics of latent profiles for Korea and Japan.

성취목표지향 프로파일에 따른 자기조절학습과 학업성취의 차이분석

김유진 ( Yu Jin Kim ) 충남대학교 교육연구소 2011 교육연구논총 Vol.32 No.1

본 연구는 대학생을 대상으로 중다목표관점에서 성취목표지향성에 대한 프로파일적 접근을 제안하고 성취목표지향 프로파일에 따른 자기조절학습 및 학업성취의 차이를 조사하는데 있다. 또한 전공계열, 강의평가방식이 각 프로파일 유형과의 상호작용을 통해 자기조절학습 및 학업성취에 영향을 끼치는지 살펴보기 위한 것이다. 대학생 2, 3, 4학년 남·녀 학생 총 394명을 대상으로 연구한 결과는 다음과 같다. 첫째, 대학생의 3요인 성취목표지향성을 기초로 상호변별적인 성취목표지향 프로파일을 추출할 수 있었다. 군집분석을 통해 [평균형 집단], [숙달목표 높은 집단], [숙달목표, 수행접근목표 높은 집단], [숙달목표, 수행접근목표 낮은 집단]으로 성취목표지향성의 프로파일 유형이 추출되었다. 둘째, 성취목표지향 프로파일 유형에 따라 자기조절학습 및 학업성취에 차이가 있었다. 프로파일간의 유의한 차이는 자기조절학습의 모든 하위요인에서 일관되게 나타났는데, 자기조절학습의 동기조절, 인지조절, 행동조절에서 [숙달목표, 수행접근목표 낮은 집단]보다 [숙달목표 높은 집단], [숙달목표, 수행접근목표 높은 집단]이 더 높게 나타났다. 셋째, 성취목표지향 프로파일 유형과 강의평가방식에서 상호작용효과가 나타나 학업성취에 유의미한 영향을 끼친 것을 확인할 수 있었으며, 전공계열에서도 상호작용효과가 나타나 학업성취와 행동조절에 유의미한 영향을 끼친 것을 확인할 수 있었다. 마지막으로 성취목표 프로파일 유형의 교육적 적용 의의를 논하였다. The purpose of this study is to analyze the achievement goal profiles of undergraduate students in a multiple goal perspective and to research the differences in self-regulated learning and academic achievement made by achievement goal profiles. Another purpose of this study is to examine what effect the interaction of major, method of evaluation of the students and achievement goal profiles has on the self-regulated learning and academic achievement. The subjects of this study were 394 sophomore, junior, and senior students in college. As a research method, a survey was used, which assessed achievement goal profiles, self-regulated learning and academic achievement. The reliability and validity of the measurement tool used in collecting material were verified by SPSS 15.0, for which Cluster analysis, one-way ANOVA, scheffe, two-way ANOVA were used. The following results were drawn using those statistical analysis. First, on the basis of the three dimensions of undergraduate students` Achievement goal, mutually distinguishable achievement goal profiles could be derived. Through cluster analysis, achievement goal profiles of 4 clusters with different achievement goal patterns were deduced: average mastery goal and performance approach goal(cluster 1), low mastery goal and performance approach goal(cluster 2), high mastery goal( cluster 3), and high mastery goal and performance approach goal(cluster4). Second, significant differences in the intensity of self-regulated learning or in the level of academic achievement were made by achievement goal profiles. Third, it was proved that achievement goal profiles and major and method of evaluation interact with each other, which influences academic achievement.

Liver Involvement in Multiple Myeloma: A Hospital Based Retrospective Study

Poudel, Bibek,Mittal, Ankush,Shrestha, Rojeet,Farooqui, Mohammad Shamim,Yadav, Naval Kishor,Shukla, Pramod Shanker Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.5

Objective: This study was to assess liver involvement in multiple myeloma with the aid of liver function tests. Materials and Methods: A hospital based retrospective study was undertaken using data retrieved of multiple myeloma from the register maintained in the Department of Biochemistry of the Manipal Teaching Hospital, Pokhara, Nepal between $1^{st}$ January, 2007 and $28^{th}$ February, 2012. We collected biomarkers of liver profiles including bilirubin (Total, Direct and Indirect), total protein, albumin, AG ratio, SGOT, SGPT, ALP, ${\gamma}GT$, LDH, ferritin, renal profile and hematological profile. Descriptive statistics and testing of hypothesis were used for the analysis using EPI INFO and SPSS 16 software. Results: Out of 37 cases of multiple myeloma, serum level of AST, ALT, ALP, ${\gamma}GT$ and LDH were increased above the cut-off point in 22 (59.5%), 24 (64.86%), 13 (35.13%), 9 (24.3%) and 11 (29.7%) respectively. The mean values of AST ($65.5{\pm}28.18$ U/L), ALT ($68.37{\pm}29.74$ U/L), ALP ($328.0{\pm}148.4$ U/L), ${\gamma}GT$ ($44.5{\pm}29.6$ U/L) and LDH ($361.7{\pm}116.5$ U/L), total protein ($9.79{\pm}1.03$ gm/dl) were significantly increased when compared with controls. In contrast, albumin ($3.68{\pm}0.43$ gm/dl) and the AG ratio ($0.62{\pm}0.15$) were significantly decreased. Similarly, anemia, hyperuricemia, azotemia, hypercalcaemia and Bence Jones proteinuria were found in 30 (78.9%), 27 (71.1%), 19 (51.5%), 15 (39.5%) and 16 (42.1%) respectively, in cases of multiple myeloma. Conclusions: While clinical manifestation of liver disease among the multiple myeloma was not common, abnormalities in liver function were characteristic.

Collaborative Filtering for Credit Card Recommendation based on Multiple User Profiles

Won Cheol Lee(이원철),Hyoup Sang Yoon(윤협상),Seok Bong Jeong(정석봉) 한국산업경영시스템학회 2017 한국산업경영시스템학회지 Vol.40 No.4

Collaborative filtering, one of the most widely used techniques to build recommender systems, is based on the idea that users with similar preferences can help one another find useful items. Credit card user behavior analytics show that most customers hold three or less credit cards without duplicates. This behavior is one of the most influential factors to data sparsity. The ‘cold-start’ problem caused by data sparsity prevents recommender system from providing recommendation properly in the personalized credit card recommendation scenario. We propose a personalized credit card recommender system to address the cold-start problem, using multiple user profiles. The proposed system consists of a training process and an application process using five user profiles. In the training process, the five user profiles are transformed to five user networks based on the cosine similarity, and an integrated user network is derived by weighted sum of each user network. The application process selects k-nearest neighbors (users) from the integrated user network derived in the training process, and recommends three of the most frequently used credit card by the k-nearest neighbors. In order to demonstrate the performance of the proposed system, we conducted experiments with real credit card user data and calculated the F1 Values. The F1 value of the proposed system was compared with that of the existing recommendation techniques. The results show that the proposed system provides better recommendation than the existing techniques. This paper not only contributes to solving the cold start problem that may occur in the personalized credit card recommendation scenario, but also is expected for financial companies to improve customer satisfactions and increase corporate profits by providing recommendation properly.

성취목표지향성 프로파일에 따른 중학생의 학습기술과 학업성취도의 차이

신현숙,류정희,안정은 한국교육학회 2010 敎育學硏究 Vol.48 No.2

This study was conducted to explore profiles of achievement goal orientations adopted by middle school students and to test differences in learning skills and academic achievement among achievement goal orientation profiles. Questionnaires were administered to 271 seventh-graders (147 boys and 124 girls) attending a middle school in G city. The results of the cluster analyses, ANOVAs and MANOVAs are summarized as follows. First, achievement goal orientations were grouped into four profiles: performance goal oriented, mastery avoidance goal oriented, approach goal oriented, avoidance goal oriented. Second, overall differences in the use of learning skills were significant. Specifically, the greatest use of learning skills was found in the approach goal oriented profile. Compared to the avoidance goal oriented profile, the performance goal oriented profile was better at self management, class participation, problem solving, test taking, and information processing. Interestingly, the performance goal oriented profile was better at test taking than the mastery avoidance goal oriented profile. Third, difference in academic achievement was not significant in Science. However, academic achievement in Social Studies was higher in the approach goal orientated profile than in the mastery avoidance goal orientated and avoidance goal orientated profiles. In addition, academic achievement in Korean, Math and English was highest in the approach goal oriented profile. These results imply that it be necessary to examine students’ achievement goal orientation from a multiple goal perspective. Finally, the limitations of this study and suggestions for future research were discussed. 이 연구는 중다목표의 관점에서 중학생의 성취목표지향성(숙달접근, 숙달회피, 수행접근, 수행회피)이 어떻게 군집화 되는지를 분석하여 성취목표지향성 프로파일을 확인하고, 학습기술과 학업성취도에 있어 프로파일 간 차이가 유의한지를 검증하기 위하여 수행되었다. 중학교 1학년 271명(남학생 147명, 여학생 124명)을 대상으로 지필식 질문지를 실시하였으며 기말시험 성적(국어, 사회, 수학, 영어, 과학)을 검토하였다. 군집분석 및 일원분산분석, 다변량분산분석을 실시한 결과는 다음과 같다. 첫째, 군집분석의 결과, 수행목표지향형, 숙달회피목표지향형, 접근목표지향형, 회피목표지향형의 네 가지 프로파일이 도출되었다. 둘째, 성취목표지향성 프로파일 간 학습기술의 차이는 자기관리, 수업참여, 과제해결, 읽기, 쓰기, 시험치기, 정보처리 모두에서 유의하였다. 구체적으로, 접근지향형 프로파일이 모든 학습기술 하위영역에서 가장 우수하였고, 수행목표지향형 프로파일이 회피목표지향형 프로파일에 비해 자기관리, 수업참여, 과제해결, 시험치기, 정보처리에서 우수하였다. 시험치기에서는 수행목표지향형 프로파일이 숙달회피목표지향형 프로파일보다 유의하게 높았다. 셋째, 성취목표지향성 프로파일 간 학업성취도의 차이는 국어, 사회, 수학, 영어에서 유의하였으나 과학에서는 유의하지 않았다. 사회 점수는 접근목표지향형 프로파일이 숙달회피목표지향형 프로파일과 회피목표지향형 프로파일보다 더 높았고, 국어, 수학, 영어 점수는 나머지 세 프로파일에 비해 접근목표지향형 프로파일에서 가장 높았다. 이러한 결과는 중학생의 성취목표지향성을 중다목표의 관점에서 고찰하는 것이 학생 이해와 지도에 유용함을 시사한다. 마지막으로, 연구의 제한점과 후속연구를 위한 제언을 논하였다.

신용카드 추천을 위한 다중 프로파일 기반 협업필터링

이원철,윤협상,정석봉 한국산업경영시스템학회 2017 한국산업경영시스템학회지 Vol.40 No.4

Collaborative filtering, one of the most widely used techniques to build recommender systems, is based on the idea that users with similar preferences can help one another find useful items. Credit card user behavior analytics show that most customers hold three or less credit cards without duplicates. This behavior is one of the most influential factors to data sparsity. The ‘cold-start’ problem caused by data sparsity prevents recommender system from providing recommendation properly in the personalized credit card recommendation scenario. We propose a personalized credit card recommender system to address the cold-start problem, using multiple user profiles. The proposed system consists of a training process and an application process using five user profiles. In the training process, the five user profiles are transformed to five user networks based on the cosine similarity, and an integrated user network is derived by weighted sum of each user network. The application process selects k-nearest neighbors (users) from the integrated user network derived in the training process, and recommends three of the most frequently used credit card by the k-nearest neighbors. In order to demonstrate the performance of the proposed system, we conducted experiments with real credit card user data and calculated the F1 Values. The F1 value of the proposed system was compared with that of the existing recommendation techniques. The results show that the proposed system provides better recommendation than the existing techniques. This paper not only contributes to solving the cold start problem that may occur in the personalized credit card recommendation scenario, but also is expected for financial companies to improve customer satisfactions and increase corporate profits by providing recommendation properly.

A Deployment-Oriented Service System Reliability Analyses

Jinyu Kai,Huaikou Miao,Honghao Gao 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.8

The single-instance deployment mode can't meet the needs of the increasing user access, and multiple-instance deployment is a feasible scheme to improve the scalability of the service system. The traditional reliability analysis methods are aimed at the single-instance deployment and they cannot be used to analyze the reliability of the service system of multi-instance deployment. To address this problem a new approach is proposed in this paper to analyze the reliability of service that a services system provided in the case of multiple-instance deployment. This approach extends the traditional user-oriented system reliability analysis method, adopting a vector representing the reliabilities of the multiple instances of a component service to settle down the problem. To bring this method to fruition, a prototype framework is constructed and realized in Java, and a case study demonstrates this approach.

다축차동장치의 전위기어 해석

강동수(Dongsoo Kang),송철기(Chul Ki Song) Korean Society for Precision Engineering 2011 한국정밀공학회지 Vol.28 No.5

A new tooth profile which is adjusted on the amount of addendum modification factor is proposed for reducing vibration and noise of gears. The transmission error of the new profile can be designed more uniformly than that of the standard involute profile. The basic concepts of tooth profile modification are to reduce the load in contact area and to find the appropriate profile modification factor for operation condition. In this study, gears were estimated to constructive safety of bending strength and contact strength durability by using ROMAX program, and were compared with results by design formula of AGMA standard.

Nondestructive Inspection System Using Optical Profiles and Laser Surface Waves to Detect a Surface Crack

박승규,백성훈,Hyung-Ki Cha,정용무,강영준 한국물리학회 2010 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.56 No.1

An improvement of the detection efficiency for cracks is essential for a laser ultrasonic inspection system because it provides a relatively low signal-to-noise ratio when compared with conventional transducers. In this paper, a nondestructive inspection system using accumulated line profiles and multiple laser surface waves is configured to detect surface cracks. An optical line profile is used to detect a crack’s position, and multiple laser surface waves are adopted to accurately extract information on the crack’s depth. During a scanning test, multiple surface waves provide precise crack-depth information after a crack’s position is detected from an image of accumulated line profiles when a crack is positioned in the middle of multiple pulse laser beams. Multiple laser surface waves are composed of two parts, a reference part and a data part when a surface crack is positioned in the middle of these multiple pulse laser beams. Detailed crack-depth information can be extracted from the normalized multiple surface waves by referencing the reference part. The crack depth is proportional to the difference between the two peak frequencies of the reference and the data signals. With visual detection using an image of the accumulated line profiles, a nondestructive inspection system using multiple surface waves provides reliable surface-crack information.