• 제목/요약/키워드: ranking correlation coefficient

검색결과 33건 처리시간 0.029초

Modelling of Demand Determinants for Full-Time Bachelor's Degree Programs in Hospitality and Catering: The Case of Ukrainian Higher Education Institutions

  • Povorozniuk, Inna;Neshchadym, Liudmyla;Lytvyn, Oksana;Berbets, Tetiana;Filimonova, Iryna;Zotsenko, Liudmyla;Hushcha, Yevheniia
    • International Journal of Computer Science & Network Security
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    • 제22권1호
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    • pp.347-357
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    • 2022
  • The aim of the study is to model demand for full-time Bachelor's Degree Programs in Hospitality and Catering, taking into account the influence of the main determinants in the COVID-19 pandemic. The research used methods of algorithms, correlation and regression analysis, ANOVA, graphical method, deduction and induction, abstraction, etc. It was found that the demand for full-time Bachelor's Degree Programs in Hospitality and Catering is price elastic. It has been argued that it is useful to consider both price and non-price determinants when modelling demand for full-time Bachelor's Degree Programs in Hospitality and Catering. It is proved that the main determinants of demand for full-time Bachelor's Degree Programs in Hospitality and Catering are full-time tuition fee, maximum government order, license volume and Consolidated Ranking of a higher education institution (HEI). In this case, the applicant decides to enrol in a full-time Bachelor's Degree Program in Hospitality and Catering, guided by the optimal ratio of tuition fee and the prestige of the HEI.

Optimised neural network prediction of interface bond strength for GFRP tendon reinforced cemented soil

  • Zhang, Genbao;Chen, Changfu;Zhang, Yuhao;Zhao, Hongchao;Wang, Yufei;Wang, Xiangyu
    • Geomechanics and Engineering
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    • 제28권6호
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    • pp.599-611
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    • 2022
  • Tendon reinforced cemented soil is applied extensively in foundation stabilisation and improvement, especially in areas with soft clay. To solve the deterioration problem led by steel corrosion, the glass fiber-reinforced polymer (GFRP) tendon is introduced to substitute the traditional steel tendon. The interface bond strength between the cemented soil matrix and GFRP tendon demonstrates the outstanding mechanical property of this composite. However, the lack of research between the influence factors and bond strength hinders the application. To evaluate these factors, back propagation neural network (BPNN) is applied to predict the relationship between them and bond strength. Since adjusting BPNN parameters is time-consuming and laborious, the particle swarm optimisation (PSO) algorithm is proposed. This study evaluated the influence of water content, cement content, curing time, and slip distance on the bond performance of GFRP tendon-reinforced cemented soils (GTRCS). The results showed that the ultimate and residual bond strengths were both in positive proportion to cement content and negative to water content. The sample cured for 28 days with 30% water content and 50% cement content had the largest ultimate strength (3879.40 kPa). The PSO-BPNN model was tuned with 3 neurons in the input layer, 10 in the hidden layer, and 1 in the output layer. It showed outstanding performance on a large database comprising 405 testing results. Its higher correlation coefficient (0.908) and lower root-mean-square error (239.11 kPa) were obtained compared to multiple linear regression (MLR) and logistic regression (LR). In addition, a sensitivity analysis was applied to acquire the ranking of the input variables. The results illustrated that the cement content performed the strongest influence on bond strength, followed by the water content and slip displacement.

Measuring the Impact of Supply Network Topology on the Material Delivery Robustness in Construction Projects

  • Heo, Chan;Ahn, Changbum;Yoon, Sungboo;Jung, Minhyeok;Park, Moonseo
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.269-276
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    • 2022
  • The robustness of a supply chain (i.e., the ability to cope with external and internal disruptions and disturbances) becomes more critical in ensuring the success of a construction project because the supply chain of today's construction project includes more and diverse suppliers. Previous studies indicate that topological features of the supply chain critically affect its robustness, but there is still a great challenge in characterizing and quantifying the impact of network topological features on its robustness. In this context, this study aims to identify network measures that characterize topological features of the supply chain and evaluate their impact on the robustness of the supply chain. Network centrality measures that are commonly used in assessing topological features in social network analysis are identified. Their validity in capturing the impact on the robustness of the supply chain was evaluated through an experiment using randomly generated networks and their simulations. Among those network centrality measures, the PageRank centrality and its standard deviation are found to have the strongest association with the robustness of the network, with a positive correlation coefficient of 0.6 at the node level and 0.74 at the network level. The findings in this study allows for the evaluation of the supply chain network's robustness based only on its topological design, thereby enabling practitioners to better design a robust supply chain and easily identify vulnerable links in their supply chains.

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In-depth exploration of machine learning algorithms for predicting sidewall displacement in underground caverns

  • Hanan Samadi;Abed Alanazi;Sabih Hashim Muhodir;Shtwai Alsubai;Abdullah Alqahtani;Mehrez Marzougui
    • Geomechanics and Engineering
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    • 제37권4호
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    • pp.307-321
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    • 2024
  • This paper delves into the critical assessment of predicting sidewall displacement in underground caverns through the application of nine distinct machine learning techniques. The accurate prediction of sidewall displacement is essential for ensuring the structural safety and stability of underground caverns, which are prone to various geological challenges. The dataset utilized in this study comprises a total of 310 data points, each containing 13 relevant parameters extracted from 10 underground cavern projects located in Iran and other regions. To facilitate a comprehensive evaluation, the dataset is evenly divided into training and testing subset. The study employs a diverse array of machine learning models, including recurrent neural network, back-propagation neural network, K-nearest neighbors, normalized and ordinary radial basis function, support vector machine, weight estimation, feed-forward stepwise regression, and fuzzy inference system. These models are leveraged to develop predictive models that can accurately forecast sidewall displacement in underground caverns. The training phase involves utilizing 80% of the dataset (248 data points) to train the models, while the remaining 20% (62 data points) are used for testing and validation purposes. The findings of the study highlight the back-propagation neural network (BPNN) model as the most effective in providing accurate predictions. The BPNN model demonstrates a remarkably high correlation coefficient (R2 = 0.99) and a low error rate (RMSE = 4.27E-05), indicating its superior performance in predicting sidewall displacement in underground caverns. This research contributes valuable insights into the application of machine learning techniques for enhancing the safety and stability of underground structures.

국내산 더러브렛 경주마의 씨수말 평가 기준으로 이용되는 연간수득상금 분석 (Analysis of the Annual Earnings used as the Sire Evaluation Criteria in Home-produced Thoroughbred Racehorses)

  • 이도형;공홍식;이학교;박경도;조병욱;최연호;전병순;조광현;신영수
    • Journal of Animal Science and Technology
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    • 제53권4호
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    • pp.319-324
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    • 2011
  • 본 연구는 연간수득상금형질을 이용한 국내 씨수말 평가시스템을 분석하여 주파기록과의 관계를 구명하고자 수행되었다. 씨수말 당평균 자마수와 출주수는 각각 34두와 221회였다. 반면에 평균 2세 자마수와 출주수는 각각 9두와 25회였으며, 2세 자마들이 벌어들인 상금은 연간 수득상금의 8.3%였다. 연간수득상금에 대한 자마수와 출주수간의 단순상관계수는 각각 0.922와 0.934, 그리고 자마수와 출주수간의 단순상관계수는 0.985로 매우 높게 나타났다. 씨수말의 검정경력 첫해의 평균 자마수는 6두, 출주수는 17회로 매우 낮았으며, 검정경력에 따른 자마수와 연간수득상금은 매우 밀접한 관계를 나타내었다. 검정경력 4년차에서 40두 이상의 자마수를 확보하는 것으로 나타났으며, 자마수가 증가할수록 평균수득상금지수는 일괄적으로 증가하였다. 자마수가 30두 이하의 씨수말들의 평균수득상금지수는 1.00 보다 낮았으며, 자마수가 10두 이하인 경우에는 0.06에서 0.13의 범위를 나타내어 자마수는 씨수말의 순위 결정에 매우 큰 영향을 미치고 있었다. 주파기록에 대한 육종가와 출주당 수득상금의 상관계수는 다른 형질들에 비하여 가장 높은 -0.524에서 -0.633의 범위를 나타내었다.

한·중·일 주요항만의 웹 사이트 접근성 및 품질평가결과와 효율성과의 상관관계분석 소고 (A Brief Analysis on the Correlations between Website Accessibility and Quality Evaluation Results and Efficiency of Main Seaports in Korea, China, and Japan)

  • 박노경
    • 한국항만경제학회지
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    • 제31권4호
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    • pp.39-52
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    • 2015
  • 본 논문에서는 3개의 투입요소(수심, 총면적, 크레인 수)와, 1개의 산출요소(컨테이너화물처리량)[다른 경우에는 2개의 산출물(TEU와 BDC 총점수)], 그리고 3개년(2009년, 2010년, 2013년)자료를 이용하여 한 중 일 주요항만을 포함한 아시아 13개국의 항만들을 대상으로 하여, 교차효율성 측정, 웹 접근성 평가(KWAH 4), 웹 사이트 평가(BDC, 캐나다 비즈니스 개발은행)결과를 이용하여 각각의 항만들의 순위를 결정한 후에, 상관관계관계분석을 통해서 교차효율성, 웹접근성, 웹 사이트 평가결과의 순위 간에 유의미한 상관관계가 존재하는지를 파악하였다. 실증분석의 핵심적인 결과는 다음과 같다. 첫째, 웹 접근성 및 BDC웹 사이트 평가순위와 교차효율성 모형에 의한 효율성 순위사이의 상관관계분석에서 선형적 연관성은 낮은 것으로 나타났다. 둘째, BDC의 종합점수를 교차효율성 측정의 산출요소로 간주하여 새롭게 측정한 효율성 순위와 웹 사이트 평가와 웹 접근성에 의한 평가순위 사이의 상관분석에서도 낮은 수준의 단조적 증가를 보여 유의미한 상관관계는 보이지 않았다. 본 연구가 갖는 정책적인 시사점은 국내항만의 정책입안자나 경영관리자들은 웹 접근성 지침준수 및 웹 사이트 품질평가 결과를 참고로 하여 웹 사이트를 사용자 편의 중심으로 세심하게 개편해야만 한다.

종합지표 작성 방법 및 적용: 우리나라 지역별 좋은 일자리 지수 (A Method and Application of Constructing an Aggregating Indicator : Regional Descent Work Index in Korea)

  • 강기춘
    • 한국산학기술학회논문지
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    • 제20권2호
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    • pp.153-159
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    • 2019
  • 최근 일자리 창출이 노동시장의 가장 중요한 이슈가 되고 있는데 노동시장에서 발생하고 있는 미스매치를 해소하기 위해서는 일자리 수도 중요하지만 일자리의 질도 매우 중요하다. 김영민(2014)은 지역 노동시장을 객관적으로 평가하기 위하여 고용기회 등 7개 부문 20개 지표로 '2012년 일자리 질 지수'를 작성하였다. 이 방법은 종합지표의 개념인 '일자리 질 지수'를 제시하고 있으며, 동 지수를 작성하기 쉬운 장점이 있다. 그러나 구성지표의 적합성을 통계적으로 검증하고, 이에 근거하여 통계적 기법을 통해 하나의 종합지표로 만드는데 현실적으로 어려움이 있다. 이에 본 연구는 강기춘 김명직(2014)이 제시한 주성분분석(Principal Component Analysis : PCA) 방법론 및 비관측요인모형(Unobserved Component Model : UCM)을 이용하여 대안적 '2012년 좋은 일자리 지수' 및 신뢰구간을 작성하고 2017년 상반기 지역별고용조사를 이용하여 '2017년 좋은 일자리 지수'를 작성하여 지역별로 지수의 변화를 비교해 보았다. 실증분석 결과 김영민 연구에서 사용한 단순가중치 부여 표준화 방법과 본 연구에서 제안하고 사용한 PCA 방법 및 UCM에 의한 방법 등 종합지표 작성 방법에 따른 순위상관계수가 2012년 및 2017년 모두 5% 유의수준 하에서 통계적으로 유의한 것으로 나타나 모든 방법에 유용성이 있는 것으로 판단되었다. 그러나 단순가중치를 자의적으로 부여하는 방법보다는 데이터에 근거하여 과학적이고 객관적인 가중치를 결정하는 PCA 방법론 및 UCM이 더욱 선호되고, 종합지표의 수준뿐만 아니라 신뢰구간까지 계산해 주어 통계적 유의성을 고려한 순위비교가 가능하게 해 주는 UCM이 더 유용한 정보를 제공해 주기 때문에 향후 많은 분야에서 활용될 수 있을 것으로 기대된다.

유사도 알고리즘을 활용한 시맨틱 프로세스 검색방안 (Semantic Process Retrieval with Similarity Algorithms)

  • 이홍주
    • Asia pacific journal of information systems
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    • 제18권1호
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    • pp.79-96
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    • 2008
  • One of the roles of the Semantic Web services is to execute dynamic intra-organizational services including the integration and interoperation of business processes. Since different organizations design their processes differently, the retrieval of similar semantic business processes is necessary in order to support inter-organizational collaborations. Most approaches for finding services that have certain features and support certain business processes have relied on some type of logical reasoning and exact matching. This paper presents our approach of using imprecise matching for expanding results from an exact matching engine to query the OWL(Web Ontology Language) MIT Process Handbook. MIT Process Handbook is an electronic repository of best-practice business processes. The Handbook is intended to help people: (1) redesigning organizational processes, (2) inventing new processes, and (3) sharing ideas about organizational practices. In order to use the MIT Process Handbook for process retrieval experiments, we had to export it into an OWL-based format. We model the Process Handbook meta-model in OWL and export the processes in the Handbook as instances of the meta-model. Next, we need to find a sizable number of queries and their corresponding correct answers in the Process Handbook. Many previous studies devised artificial dataset composed of randomly generated numbers without real meaning and used subjective ratings for correct answers and similarity values between processes. To generate a semantic-preserving test data set, we create 20 variants for each target process that are syntactically different but semantically equivalent using mutation operators. These variants represent the correct answers of the target process. We devise diverse similarity algorithms based on values of process attributes and structures of business processes. We use simple similarity algorithms for text retrieval such as TF-IDF and Levenshtein edit distance to devise our approaches, and utilize tree edit distance measure because semantic processes are appeared to have a graph structure. Also, we design similarity algorithms considering similarity of process structure such as part process, goal, and exception. Since we can identify relationships between semantic process and its subcomponents, this information can be utilized for calculating similarities between processes. Dice's coefficient and Jaccard similarity measures are utilized to calculate portion of overlaps between processes in diverse ways. We perform retrieval experiments to compare the performance of the devised similarity algorithms. We measure the retrieval performance in terms of precision, recall and F measure? the harmonic mean of precision and recall. The tree edit distance shows the poorest performance in terms of all measures. TF-IDF and the method incorporating TF-IDF measure and Levenshtein edit distance show better performances than other devised methods. These two measures are focused on similarity between name and descriptions of process. In addition, we calculate rank correlation coefficient, Kendall's tau b, between the number of process mutations and ranking of similarity values among the mutation sets. In this experiment, similarity measures based on process structure, such as Dice's, Jaccard, and derivatives of these measures, show greater coefficient than measures based on values of process attributes. However, the Lev-TFIDF-JaccardAll measure considering process structure and attributes' values together shows reasonably better performances in these two experiments. For retrieving semantic process, we can think that it's better to consider diverse aspects of process similarity such as process structure and values of process attributes. We generate semantic process data and its dataset for retrieval experiment from MIT Process Handbook repository. We suggest imprecise query algorithms that expand retrieval results from exact matching engine such as SPARQL, and compare the retrieval performances of the similarity algorithms. For the limitations and future work, we need to perform experiments with other dataset from other domain. And, since there are many similarity values from diverse measures, we may find better ways to identify relevant processes by applying these values simultaneously.

어린이의 식습관(食習慣)이 체위(體位)에 미치는 영향(影響)에 관한 연구(硏究) (The Influence of Food Habits on Body Stature of Children)

  • 이미숙;모수미
    • Journal of Nutrition and Health
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    • 제9권1호
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    • pp.7-15
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    • 1976
  • The Purpose of this study was to determine every possible correlation between food habits and body statures of primary school children, aged ten years old. This study was conducted from July to October of 1975. In July, prepared questionaires concerning life style, anthropometry, food preference, and food behavior were distributed through school teachers to 425 children; 219 boys and 206 girls, in the 5th grade of three elementary schools in the city of Seoul. Then, in October, when subjects had been classified into underweight/obese by statistical analysis, mothers of obese or underweight children were interviewed by the authors to determine weaning history, daily food consumption of their children, and opinions of various snacks for children. Analysis of results in terms of correlation coefficient, chisquare test and percentage calculations, are as follows: 1. Physical growth and development Boys Girls Height (cm) $134.8{\pm}5.74\;134.4{\pm}5.97$ Weight (kg) $30.0{\pm}4.27\;29.5{\pm}5.16$ Chestgirth (cm) $64.1{\pm}3.59\;63.3{\pm}3.81$ Arm circumference (cm) $18.3{\pm}1.61\;18.2{\pm}1.70$ Triceps skinfold thickness (mm) $10.9{\pm}5.13\;12.7{\pm}4.86$ Various indices of nutrition such as relative weight, relative chestgirth, $R{\ddot{o}}hrer's$ index, Kaup index, Vervaeck index were determined. 2. Food habits 1) Food $preference{\cdots}{\cdots}A$ varying number of foods were selected from 60 items were accepted. It was found that the food which children liked best was fruit and snacks were popular one. Lowest ranking among LIKED foods were from strongly flavored vegetables and organ meat. In general, girls had more food dislikes than did boys. Selected as liked foods were fruits, rice noodle soup, biscuits, and peanuts. Disliked foods were liver, green onions, onions, green pepper, mushrooms, oysters, shellfish, and pork. Items which children never ate before were liver, mushrooms, fish cake, boiled rice mixed with sorghum, mayonnaise, and fresh water firsh. Reasons which children gave for dislike were undesirable flavor and odor. 2) Food $behavior{\cdots}{\cdots}It$ was found that boys liked sweet and salty flavors more than did the girls who more often liked sour flavor. The majority of children enjoyed evening meals more than lunch and breakfast. A number of children skipped breakfast because of lack of appetite or lack of time before going to school. Snacks were the most popular food, especially among girls. Their snacking habits were formed by the encouragement of the mother, and the relieve boredom. Educational backgrounds of mothers and family economical levels of children were remarkable correlated with mothers' attitudes toward feeding of children. There were several interesting findings relating body stature to some other responses; such as that the obese child has a small number of brothers, higher birth order, higher educated mothers and higher family cultural background. It was also discovered that food perference, except for fat and oil group foods was not related to body stature. Sweet taste was liked best and pepperly taste was mostly disliked. Sour taste was popular in the group of underweight. Underweight children were more finicky, disliked snacking, and didn't get much attention from their mothers. 3) Correlation between body stature and nutrition during their infancy. The majority of children, both from obese and underweight, were breast fed as infant. Twenty five per cent of obese children and 17.4 per cent of underwight children started weaning at $1{\sim}6$ months old. The most popular supplemental food of weaning was cereal gruel for the obese group, while boiled white rice and cereal gruel were most common for the underweight group. Highly significant relationships were found between stature of parents and their children. In the obese group 47.8 per cent of fathers and 45.9 per cent of mothers were overweight; however, none of the fathers and only one mother was found to be underweight. In daily food consumption patterns, meals consisting of bread or noodle were popular in the obese group but disliked by the underweight group. The study found clear contrast in that the obese group liked meat and fish while the underweight group liked fruits and vegetables, especially kimchee. The obese children desired to eat cereal foods, milk and milk products, and fat foods while the underweight group desired to eat fruits and vegetables. Frequency of snacks per day was much greater in the obese group. Foods which mothers believed to be good for the health were carrots, cucumbers, fruits, milk, potatoes, sweet potatoes, and breads, while sweet foods such as candies, drinks. chocolate were considered not good for the teeth. Watching television was not significantly related to statures of children. Most significant relationships were found beween frequencies of family guest meals/and eating-out, and children's statures. Nutritional problems which have been considered for the malnourished children in addition to those of children who have a tendency toward obesity, must be taken into consideration in the development of proper nutrition education through the channels of regular school teaching and teaching by parents in the homes. Korean standards of anthropometric measurements for children should be revised, current measurements show much higher figures than present Korean standards.

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반정량식품섭취빈도조사지의 타당성 검증 및 보정 - 지역사회 유전체 코호트 참여자를 대상으로 - (Validation and Calibration of Semi-Quantitative Food Frequency Questionnaire - With Participants of the Korean Health and Genome Study -)

  • 안윤진;이지은;조남한;신철;박찬;오범석;김규찬
    • 대한지역사회영양학회지
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    • 제9권2호
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    • pp.173-182
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    • 2004
  • We carried out a validation-calibration study of the food frequency questionnaire (FFQ) that we had previously developed for a community-based cohort of the Korean Genome and Health Study of the Korea National Genome Research Institute. We have collected a total of 254 3-day diet records (DRs) from 400 subjects, 200 each randomly selected from the two study cohorts of Ansung and Ansan. FFQ was administered at the time of cohort recruitment in 2001, and DRs were collected during a two month period from January through February of 2002. The mean age was 52.2 years. Farming for men and housewife for women were the most common occupations. The majority of the subjects had undergone 6∼12 years of education. The general characteristics including demographic and other data were not different from the total cohort subjects. Absolute levels of consumed nutrients including total energy (energy), protein, fat, carbohydrate, calcium, phosphorus, sodium, potassium, iron, retinol, carotene, vitamin A, thiamin, riboflavin, niacin and vitamin C were compared. The average of energy intake was not significantly different between the data collected by the 2 methods. However, consumptions of protein and fat were higher in data of DRs, whereas that of carbohydrate was higher in FFQ data. Significant correlation of each nutrient consumption between the data sets was observed (p < 0.05) except in the case of iron, while the average correlation coefficient between them was 0.22 ranging from 0.33 for energy to 0.11 for iron. The results of cross classification by quantile for exact classification ranged from 25.2% (carotene) to 35.0% (phosphorus), and from 64.6% (vitamin A) to 76.4% (retinol) for adjacent classification. The proportion of completely opposite classification was 8.1% in average. Calibration slope was estimated by regression and calibration parameters ranged from 0.025 for carotene to 0.423 for niacin. We conclude that the FFQ we have developed is an appropriate tool for assessing the nutrient intakes as ranking exposures in epidemiology studies in view that amounts of consumed nutrients obtained by FFQ were similar to those collected by DRs, that correlations between consumed nutrients collected by these methods were significant, and that classification results were relatively fair. The correlation coefficients, however, were lower than expected, which may be mainly due to the survey season. In fact, any short-term dietary survey cannot accurately reflect the overall dietary intakes that change heavily depending on seasons. Further studies including the analysis of chemical indices would be helpful for the studies of causal relationship between the diet and disease.