• Title/Summary/Keyword: Research field recommendation

Search Result 98, Processing Time 0.034 seconds

Evaluation of Building Construction Management in Sylhet City, Bangladesh

  • Anamul, Hasan Md.
    • Journal of Construction Engineering and Project Management
    • /
    • v.2 no.3
    • /
    • pp.40-47
    • /
    • 2012
  • Construction management is essential for a achieving any pre-determined objective. It is however seen that in spite of construction management, majority of the project do not keep up their original time schedule and their completion cost is also higher as compared with the estimated cost The main reason for overrun in time and cost is that the planning at the outset of the project was not adequate or method of planning was not a refined one. In this research work, I showed the overall conditions of construction work and management in Sylhet city of Bangladesh and found many drawbacks in the construction management after completing my research. I found several factors affecting proper construction management and I have provided brief results. I have also provided some recommendations after my research work.

IT Fusion Global Education Methods for Fostering Global Teachers (글로벌 교원 양성을 위한 IT 융합 글로벌 교육 방법)

  • Kang, Ju-Young;Kim, Seong-Baeg;Kwon, Sang-Chul
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
    • /
    • v.6 no.4
    • /
    • pp.341-349
    • /
    • 2016
  • To meet the requirements in the global age, the necessity and importance of global education in the field of education is rapidly increasing. However, according to the viewpoint on global education, a general consensus of its definition and model is not clear yet and the substantial outcome falls short of our expectation due to high cost, low effectiveness, and lack of persistency in the process of global education. Furthermore, there has been little research on global education for fostering global capabilities of pre-teachers. In this research, we compared and analyzed the ongoing global education programs for training global teachers in domestic universities. Also, through a study on IT fusion education system for tackling the difficulties in global education, we examined appropriate IT fusion education methods. In particular, beased on big data analysis techniques, we presented a recommendation system to complete a global curriculum, which can help a dual-degree or exchange student program.

Analytical method for analyzing formaldehyde using 2, 4-DNPH and gas chromatography/FID, NPD (2,4-DNPH와 가스크로마토그래프를 이용한 포름알데히드 분석방법)

  • Jeong, Jee Yeon;Park, Seung Hyun;Yi, Gwang Yong;Oh, Se Min
    • Journal of Korean Society of Occupational and Environmental Hygiene
    • /
    • v.10 no.1
    • /
    • pp.126-146
    • /
    • 2000
  • To develop and evaluate formaldehyde measurement method using 2,4-dinitro-phenylhydrazine (2,4-DNPH) coated sampler and gas chromatography, laboratory test and field test were conducted. Results of this study are as follows. Limit of detection(LOD) of measurement methods, HPLC-UVD, GC-NPD and GC-FID, is $0.008{\mu}g/m{\ell}$ $0.060{\mu}g/m{\ell}$, $0.472{\mu}g/m{\ell}$ respectively. Coefficiency of measurement methods, HPLC-UVD, GC-NPD and GC-FID, is 0.008, 0.009, 0.020 respectively. Desorption efficiency of sep-pak xposure aldehyde sampler and sorbent sample tube is 1.05(range : 0.99 - 1.12), 1.02(range : 0.99 - 1.06) respectively. Samples of sorbent sample tube and sep-pak xposure aldehyde sampler turned out to be stored at refrigerator, according to storage test results. Measurement methods of HPLC-UVD, GC-NPD, GC-FID, according to results of precision for the combined sampling and analytical procedure, became acceptable to OSHA evaluation standard. Field test using exposure chamber met the NIOSH overall uncertainty recommendation(less than 25%). Overall uncertainty of Sepak-HPLC(UVD), Tube-GC(NPD), Tube-GC(FID) is 11.0% - 17.0%. Consequently gas chromatography(GC-NPD, GC-FID) and high performance liquid chromatography(EPA TO-11) using 2,4-DNPH coated sampler for formaldehyde measurement turned out to be suitable to measure personal formaldehyde exposure at workplaces.

  • PDF

Improving Performance of Recommendation Systems Using Topic Modeling (사용자 관심 이슈 분석을 통한 추천시스템 성능 향상 방안)

  • Choi, Seongi;Hyun, Yoonjin;Kim, Namgyu
    • Journal of Intelligence and Information Systems
    • /
    • v.21 no.3
    • /
    • pp.101-116
    • /
    • 2015
  • Recently, due to the development of smart devices and social media, vast amounts of information with the various forms were accumulated. Particularly, considerable research efforts are being directed towards analyzing unstructured big data to resolve various social problems. Accordingly, focus of data-driven decision-making is being moved from structured data analysis to unstructured one. Also, in the field of recommendation system, which is the typical area of data-driven decision-making, the need of using unstructured data has been steadily increased to improve system performance. Approaches to improve the performance of recommendation systems can be found in two aspects- improving algorithms and acquiring useful data with high quality. Traditionally, most efforts to improve the performance of recommendation system were made by the former approach, while the latter approach has not attracted much attention relatively. In this sense, efforts to utilize unstructured data from variable sources are very timely and necessary. Particularly, as the interests of users are directly connected with their needs, identifying the interests of the user through unstructured big data analysis can be a crew for improving performance of recommendation systems. In this sense, this study proposes the methodology of improving recommendation system by measuring interests of the user. Specially, this study proposes the method to quantify interests of the user by analyzing user's internet usage patterns, and to predict user's repurchase based upon the discovered preferences. There are two important modules in this study. The first module predicts repurchase probability of each category through analyzing users' purchase history. We include the first module to our research scope for comparing the accuracy of traditional purchase-based prediction model to our new model presented in the second module. This procedure extracts purchase history of users. The core part of our methodology is in the second module. This module extracts users' interests by analyzing news articles the users have read. The second module constructs a correspondence matrix between topics and news articles by performing topic modeling on real world news articles. And then, the module analyzes users' news access patterns and then constructs a correspondence matrix between articles and users. After that, by merging the results of the previous processes in the second module, we can obtain a correspondence matrix between users and topics. This matrix describes users' interests in a structured manner. Finally, by using the matrix, the second module builds a model for predicting repurchase probability of each category. In this paper, we also provide experimental results of our performance evaluation. The outline of data used our experiments is as follows. We acquired web transaction data of 5,000 panels from a company that is specialized to analyzing ranks of internet sites. At first we extracted 15,000 URLs of news articles published from July 2012 to June 2013 from the original data and we crawled main contents of the news articles. After that we selected 2,615 users who have read at least one of the extracted news articles. Among the 2,615 users, we discovered that the number of target users who purchase at least one items from our target shopping mall 'G' is 359. In the experiments, we analyzed purchase history and news access records of the 359 internet users. From the performance evaluation, we found that our prediction model using both users' interests and purchase history outperforms a prediction model using only users' purchase history from a view point of misclassification ratio. In detail, our model outperformed the traditional one in appliance, beauty, computer, culture, digital, fashion, and sports categories when artificial neural network based models were used. Similarly, our model outperformed the traditional one in beauty, computer, digital, fashion, food, and furniture categories when decision tree based models were used although the improvement is very small.

Analysis on Research of Narrative Therapy in Korea (이야기치료 관련 국내연구의 분석)

  • Lee, Mi-Ryon
    • Journal of Korean Clinical Health Science
    • /
    • v.2 no.3
    • /
    • pp.167-175
    • /
    • 2014
  • Purpose. The purpose of this study was to analyze the trend of the narrative therapy research on 42 studies, the master's and doctor's dissertations in Korea and to propose a direction of the narrative therapy study. Methods. The material used for this study were 42 studies collected from National Digital Library database. The analytic frame of this study is on the year of study, research design, research subjects, key concept, major of researcher and narrative therapy program. Results. Regarding research design, quasi-experimental study was the most used and survey study, program development research in this order. As a research subject, adolescents were the most used and child, aged, in this order. As the key concept, self-esteem was the most used and there were aggression, depression, self-efficacy, etc. As the major of researcher, counseling were the most used and theology, pedagogy, in this order. Conclusions. As a result on the research above, following recommendation can be made. Narrative therapy program should be develop the verify on effect of variables. Narrative therapy study needs to expanded to various subjects. In education field, we should be develop the various methods to apply narrative therapy.

Development of a Gifted Behavior Checklist Based on the Observation Probability and Importance of the Behavior in Class (관찰가능성과 중요도를 고려한 관찰·추천용 초등 영재 행동 특성 체크리스트 개발)

  • Lee, In-Ho;Han, Ki-Soon
    • Journal of Gifted/Talented Education
    • /
    • v.25 no.6
    • /
    • pp.817-836
    • /
    • 2015
  • This research focuses on the development of gifted child behavior checklist which feasibly has application on the nation-wide gifted children observation-recommendation method. Corresponding measure has significance as it reflects actual observations of teachers teaching gifted children first-hand and involves measure of importance regarding each characteristic. An open survey on gifted children behavior characteristics lists and specific behavior patterns has been acquired from teachers in gifted education, and the checklist was developed through expert group review, pre-test, and confirmatory factor analysis process. The former checklists have shown several difficulties on application of observation-recommendation on the field due to behaviors that can't be observed in school, less important behaviors, and collide and duplicate behaviors etc. With regard to such problems, problematic clauses were removed based on the observation probability and importance of the behaviors. Ultimately, total of 32 behavior characteristic checklist consisting of ten sub factors(logical thinking, high achievement, originality, perfectionism, creative problem solving, curiosity, task commitment, conversation ability, creativity, passion) and two to three questions on each factor had been drawn. Through internal consistency test and item-total score correlation, each item of the measure has been analyzed to be consistently evaluating corresponding variables. In addition, the result of confirmatory factor analysis showed every item to be weighed appropriately on its sub-factor, strongly suggesting its feasibility on observation-recommendation of elementary gifted children as an appropriate checklist.

Content Analysis of Online Book Curation Services in Korean Public Libraries (국내 공공도서관 온라인 북큐레이션 서비스의 내용분석)

  • Soo-Sang Lee;Taeseok Lee;So-Hyun Joo
    • Journal of Korean Library and Information Science Society
    • /
    • v.53 no.4
    • /
    • pp.189-209
    • /
    • 2022
  • The purpose of this study is to analyze the content of the online book curation services and recommended books list by public libraries in Korea and to identify their properties. The case for analysis is a list of 11,447 recommended books provided by 35 online book curation services collected from 23 public libraries and the main results of the study are as follows. Only few case libraries were presenting recommendation themes, and recommendation targets were most often not specific, and the recommendation cycle of books was the most monthly. In general, books recommended for book curation do not overlap with each other, but there was overlap in the field of literature (novels) published in 2019~2021. For recommended books, the proportion of books published by some publishers was high, and books published in 2019~2021 were the most common. The subject areas analyzed based on the KDC 6th ed were literature the most. Readers analyzed by ISBN were of in the order of cultural books and children's books, and the type of publication was in the order of books, pucture books, and comics. Based on these research results, it was required to develop guidelines for online book curation service for public libraries and build a platform to share with libraries.

A Study on the Intelligent Online Judging System Using User-Based Collaborative Filtering

  • Hyun Woo Kim;Hye Jin Yun;Kwihoon Kim
    • Journal of the Korea Society of Computer and Information
    • /
    • v.29 no.1
    • /
    • pp.273-285
    • /
    • 2024
  • With the active utilization of Online Judge (OJ) systems in the field of education, various studies utilizing learner data have emerged. This research proposes a problem recommendation based on a user-based collaborative filtering approach with learner data to support learners in their problem selection. Assistance in learners' problem selection within the OJ system is crucial for enhancing the effectiveness of education as it impacts the learning path. To achieve this, this system identifies learners with similar problem-solving tendencies and utilizes their problem-solving history. The proposed technique has been implemented on an OJ site in the fields of algorithms and programming, operated by the Chungbuk Education Research and Information Institute. The technique's service utility and usability were assessed through expert reviews using the Delphi technique. Additionally, it was piloted with site users, and an analysis of the ratio of correctness revealed approximately a 16% higher submission rate for recommended problems compared to the overall submissions. A survey targeting users who used the recommended problems yielded a 78% response rate, with the majority indicating that the feature was helpful. However, low selection rates of recommended problems and low response rates within the subset of users who used recommended problems highlight the need for future research focusing on improving accessibility, enhancing user feedback collection, and diversifying learner data analysis.

Semantic Network Analysis on the MIS Research Keywords: APJIS and MIS Quarterly 2005~2009

  • Lee, Sung-Joon;Choi, Jun-Ho;Kim, Hee-Woong
    • Asia pacific journal of information systems
    • /
    • v.20 no.4
    • /
    • pp.25-51
    • /
    • 2010
  • This study compares and contrasts the intellectual development of the MIS field in Korea from 2005 to 2009 to that of international trends by using a keyword co-occurrence network analysis of the two flagship journals: APJIS and MIS Quarterly. From 316 research articles in these two journals, 132 unique and most frequently co-occurred keywords were put into analysis. The results of structural equivalence show a mild correlation between APJIS and MIS Quarterly. The e-commerce, trust, and technology adoption are the high frequency keywords in both journals. In Korea e-learning, purchasing, and recommendation systems turn out to be important keywords while outsourcing, research method, quantitative method, design research, information theory, and empirical research are in average international journals. This connotes that the Korean scholarship tends to focus more on practically oriented topics, but the clustering and relational mapping of research topics in each journal show a mild level of overlap with distinctive orientations due to intrinsic disparities depending on the concerned journals' geographical scopes, namely domestic or global.

Validation of Floating LiDAR System for Development of Offshore Wind Farms (해상풍력단지 개발을 위한 부유식 라이다 검증)

  • Lee, Jin-Jae;Kang, Seung-Jin;Lee, Gwang-Se;Kim, Hong-Woo;Kim, Sung-One;Ahn, You-Ock;Kyong, Nam-Ho
    • New & Renewable Energy
    • /
    • v.16 no.3
    • /
    • pp.35-41
    • /
    • 2020
  • In this study, a floating LiDAR system (FLS) is investigated through a field test involving two steps. First, correlations among wind speeds, measured using the met mast and two LiDARs, are computed to analyze the acceptance criteria of LiDAR for measuring wind speed. The results of the analysis show that the slopes of single variant regression between mean wind speeds are below 1.03 and the coefficient of determination is above 0.97. Next, correlations among wind speeds measured using the FLS and a fixed LiDAR are determined through a field test carried out in Doomi-doo, Tong-young, Gyeongsangnam-do. The FLS is installed 300 m away from the fixed LiDAR on the ground. The results show that the slope of single variant regression is approximately 1.0275 and the coefficient of determination is above 0.971. According to the IEA/wind 18 recommendation, it is found that the developed FLS measures valid wind speeds to assess wind resources for the development of offshore wind farms.