• Title/Summary/Keyword: Calculating A Score

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Comparison of Clustering Techniques in Flight Approach Phase using ADS-B Track Data (공항 근처 ADS-B 항적 자료에서의 클러스터링 기법 비교)

  • Jong-Chan Park;Heon Jin Park
    • The Journal of Bigdata
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    • v.6 no.2
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    • pp.29-38
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    • 2021
  • Deviation of route in aviation safety management is a dangerous factor that can lead to serious accidents. In this study, the anomaly score is calculated by classifying the tracks through clustering and calculating the distance from the cluster center. The study was conducted by extracting tracks within 100 km of the airport from the ADS-B track data received for one year. The wake was vectorized using linear interpolation. Latitude, longitude, and altitude 3D coordinates were used. Through PCA, the dimension was reduced to an axis representing more than 90% of the overall data distribution, and k-means clustering, hierarchical clustering, and PAM techniques were applied. The number of clusters was selected using the silhouette measure, and an abnormality score was calculated by calculating the distance from the cluster center. In this study, we compare the number of clusters for each cluster technique, and evaluate the clustering result through the silhouette measure.

A Study on the Validity of Short Sensory Profile for Children Without Disability (단축감각프로파일의 타당성 연구)

  • Kim, Kyeong-Mi
    • The Journal of Korean Academy of Sensory Integration
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    • v.2 no.1
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    • pp.1-10
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    • 2004
  • Objective : The purpose of this study were to examine internal reliability and internal validity for Short Sensory Profile(SSP) and to suggest the useful criteria for sensory processing abilities in Korean culture. Methods : The Short Sensory Profile(SSP) was completed by mothers of 304 children typically developing between 3 to 10 years of age in those preschool, kindergarten and elementary school located Seoul and Gyeonggi-do. The total agency for this study was 14 facilities and the period of study was from July, 2002 to June, 2003. Kim Mi Sun(2001) translated and modified the Short Sensory Profile that Macintoshi developed and the tool for the study was used. The data were analyzed with reliability test and Pearson's correlation. Results : 1. Internal reliability of the total tests and sections was estimated by calculating Cronbach's Alphas. Reliability value of the total tests was .889. 2. For internal validity the correlations range from .131 to .575 in magnitude, suggesting that the sections of the Short Sensory Profile tap relatively unique constructs and support the factor structure developed. 3. The total score of the Short Sensory Profile(SSP) range from 118 to 190, mean and SD was 163.12, 14.87. 4. Of 403 children represented by the survey, 32 children(10.5%) met criteria for sensory processing disorders based upon parental perceptions. 5. Cut scores were determined by computing the raw score cut scores for -1 SD and -2 SD. The normal group of sensory processing abilities had score which range from 190 to 149, the probable problem group had score which range from 148 to 134, and the definite problem group had score which range from 133 to 138. Conclusion : Findings from the above study suggest that Short Sensory Profile be the screening tool for sensory processing disorders within Korean culture. Further research is needed to compare with children with the various sensory processing disabilities(PDD, LD, CP ect,).

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Constant score in asymptomatic shoulders varies with different demographic populations: derivation of adjusted score equation

  • Nitesh Gahlot;Ankit Rai;Jeshwanth Netaji
    • Clinics in Shoulder and Elbow
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    • v.25 no.4
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    • pp.274-281
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    • 2022
  • Background: In the present study, the age- and sex-adjusted Constant score (CS) in a normal Indian population was calculated and any differences with other population cohorts assessed. Methods: The study participants were patients who visited the outpatient department for problems other than shoulder and healthy volunteers from the local population. Patients without shoulder pain/discomfort during activity were included in the study. Subjects with any problem that might affect shoulder function (e.g., cervical, thoracic spine, rib cage deformity, inflammatory arthritis) were excluded. Constant scoring of all participants was performed by trained senior residents under the supervision of the senior faculty. Shoulder range of movement and strength were measured following recommendations given by the research and Development Committee of the European Society for Shoulder and Elbow Surgery (2008). A fixed spring balance was used for strength measurement; one end was fixed on the floor and the other end tied with a strap to the wrist of the participant, arm in 90° abduction in scapular plane with palm facing down. Results: Among the 248 subjects (496 shoulders), the average age was 37 years (range, 18-78 years), 65.7% were males (326 shoulders) and 34.3% females (170 shoulders). The mean CS was 84.6±2.9 (males, 86.1±3.0; females, 81.8±2.9). CS decreased significantly after 50 years of age in males and 40 years of age in females (p<0.05). The mean CS was lower than in previous studies for both males and females. Heavy occupation workers had higher mean CS (p<0.05). A linear standardized equation was estimated for calculating the adjusted CS for any age. Conclusions: Mean CS and its change with age differed from previous studies among various population cohorts.

A Study on the Relationship between Sasang Constitution and Framingham Coronary Risk Score (사상체질(四象體質)과 Framingham Coronary Risk Score의 상관성(相關性)에 관한 연구(硏究))

  • Shim, Gyue-Hearn;Yoo, Jun-Sang;Koh, Sang-Baek;Park, Jong-Ku
    • Journal of Sasang Constitutional Medicine
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    • v.21 no.1
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    • pp.165-185
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    • 2009
  • 1. Objectives This study was designed to research the relationship between Sasang Constitution and Framingham coronary risk score(FRS), 2. Methods 666 people, over 40 years old, were participated in the community-based cohort in Wonju, South Korea from July 2nd to August 30th in 2006, Sasang Constitutional Diagnosis was carried out using PSSC(Phonetic System of Sasang Constitution), face and tongue photos and a checkup list, Framingham coronary risk score(FRS) was calculated using previously studied sheets adopted from KCDC(Korea Center for Disease Control and Prevention). 3. Results The average FRS of men was 7,06 and that of female was 8,19 which was significantly higher than that of men. There were significant differences between Taeeumin and other constitutions in women, whereas no differences among male constitutions. Analyzing adjusted ORs for CHD risk intervals according to Sasang constitution, they were 0.96 in Taeeumin and 1.70 in Soyangin to Soeumin. Also 0.55 in Taeeumin and 3.39 in Soyangin to Soeumin in men, 1.96 in Taeeumin and 1.87 in Soyangin to Soeumin in women. Women had highet FRS than men and female Taeeumin group have highet FRS points and CRP than other constitutions. 4. Conclusions Regarding the positive relationship between FRS, APG and CRP, it is thought to be useful to understand APG and CRP results at the same time when calculating FRS. When it comes to prevention and screening of CHD, female Taeeumin should be more careful and female Soyangin also should have a consideration of heart disease.

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A Personal Credit Rating Using Convolutional Neural Networks with Transformation of Credit Data to Imaged Data and eXplainable Artificial Intelligence(XAI) (신용 데이터의 이미지 변환을 활용한 합성곱 신경망과 설명 가능한 인공지능(XAI)을 이용한 개인신용평가)

  • Won, Jong Gwan;Hong, Tae Ho;Bae, Kyoung Il
    • The Journal of Information Systems
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    • v.30 no.4
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    • pp.203-226
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    • 2021
  • Purpose The purpose of this study is to enhance the accuracy score of personal credit scoring using the convolutional neural networks and secure the transparency of the deep learning model using eXplainalbe Artifical Inteligence(XAI) technique. Design/methodology/approach This study built a classification model by using the convolutional neural networks(CNN) and applied a methodology that is transformation of numerical data to imaged data to apply CNN on personal credit data. Then layer-wise relevance propagation(LRP) was applied to model we constructed to find what variables are more influenced to the output value. Findings According to the empirical analysis result, this study confirmed that accuracy score by model using CNN is highest among other models using logistic regression, neural networks, and support vector machines. In addition, With the LRP that is one of the technique of XAI, variables that have a great influence on calculating the output value for each observation could be found.

Association between family structure and food group intake in children

  • Baek, Youn Joo;Paik, Hee Young;Shim, Jae Eun
    • Nutrition Research and Practice
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    • v.8 no.4
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    • pp.463-468
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    • 2014
  • BACKGROUNDS/OBJECTOVES: Family has an impact on dietary intake of children as a proximal food environment and family structures are changing and becoming more diverse. This study was performed to identify the association between family structure and food group intake of children aged 3-18 years in Korea. SUBJECTS/METHODS: A total of 3,217 children with complete data on variables for household information, dietary intake and sampling weights were obtained from 2010-2011 Korea National Health and Nutrition Examination Survey. Children's family structure was classified into 3 groups (Living with both parents, Living with one parent and Living without parents). To evaluate children's food group intake, scores of individual food groups ('Grains', 'Meat, Fish, Eggs and Beans', 'Vegetables', 'Fruits' and 'Milk and Dairy products') was calculated from percent adherence to the recommended servings of the Korean Food Guidance System (KFGS). 'Food group mean score' was obtained by calculating the average of five food group scores. RESULTS: After adjusting for age, sex, number of family members, and household income, children living with both parents had higher scores in 'Fruits' (P < 0.01), 'Milk and Dairy products' (P < 0.05), and mean score of individual food group score (P < 0.001) compared to children living with one parent. Individual food group scores and mean scores of individual food group scores were associated with different socio-demographic factors in study children. Family structure was associated with 'Fruits,' 'Milk and Dairy products' score and mean scores of food group scores. CONCLUSIONS: These results suggested that different approach might be required to solve nutrition problem in children depending on their family structure and other socio-demographic factors.

Voice Activity Detection Based on SNR and Non-Intrusive Speech Intelligibility Estimation

  • An, Soo Jeong;Choi, Seung Ho
    • International Journal of Internet, Broadcasting and Communication
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    • v.11 no.4
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    • pp.26-30
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    • 2019
  • This paper proposes a new voice activity detection (VAD) method which is based on SNR and non-intrusive speech intelligibility estimation. In the conventional SNR-based VAD methods, voice activity probability is obtained by estimating frame-wise SNR at each spectral component. However these methods lack performance in various noisy environments. We devise a hybrid VAD method that uses non-intrusive speech intelligibility estimation as well as SNR estimation, where the speech intelligibility score is estimated based on deep neural network. In order to train model parameters of deep neural network, we use MFCC vector and the intrusive speech intelligibility score, STOI (Short-Time Objective Intelligent Measure), as input and output, respectively. We developed speech presence measure to classify each noisy frame as voice or non-voice by calculating the weighted average of the estimated STOI value and the conventional SNR-based VAD value at each frame. Experimental results show that the proposed method has better performance than the conventional VAD method in various noisy environments, especially when the SNR is very low.

Sentimental Analysis of SW Education News Data (SW 교육 뉴스데이터의 감성분석)

  • Park, SunJu
    • Journal of The Korean Association of Information Education
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    • v.21 no.1
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    • pp.89-96
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    • 2017
  • Recently, a number of researches actively focus on the contents and sensitivity of information distributed through SNS as smartphones and SNS gained its popularity. In this paper, we collected online news data about SW education, extracted words after morphological analysis, and analyzed emotions of collected news data by calculating sentimental score of each news datum. Also, the accuracy of the calculated sentimental score was examined. As a result, the number of news related to 'SW education' in the collection period was about 189 per month, and the average of sentimental score was 0.7, which signifies the news related to 'SW education' was emotionally positive. We were positive about the importance of SW education and the policy implementation, but there were negative views on the specific method for the realization. That is, a lack of SW education environment and its education method, a problem related to improvement of SW developers and improvement of their labor conditions, and increase of private education in coding were the factors for the negative viewers.

Artificial neural network approach for calculating mass attenuation coefficient of different glass systems

  • A. Benhadjira;M.I. Sayyed;O. Bentouila;K.E. Aiadi
    • Nuclear Engineering and Technology
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    • v.56 no.1
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    • pp.100-105
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    • 2024
  • In this study, we propose an alternative approach using Artificial Neural Networks (ANN) for determining Mass Attenuation Coefficients (MAC) in various glass systems. This method takes into account the weights of glass compositions, density, and photon energy as input features. The ANN model was trained and tested on a dataset consisting of 650 data points and subsequently validated through a K-fold cross-validation procedure. Our findings demonstrate a high level of accuracy, with R2 values ranging from 0.90 to 0.99. Additionally, the model exhibits robust extrapolation capabilities with an R2 score of 0.87 for predicting MAC values in a new glass system. Furthermore, this approach significantly reduces the need for costly and time-consuming computations and experiments, making it a potential tool for selecting materials for effective radiation protection.

A Study on the Visual Preference in Enclosed Spaces Based on the Paired Comparison Method (쌍체비교기법을 통한 중정의 시각적 선호에 관한 연구)

  • 이태희;임승빈
    • Journal of the Korean Institute of Landscape Architecture
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    • v.14 no.3
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    • pp.3-19
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    • 1987
  • The purpose of this study was to investigate desirable width / height ratio of enclosed space and to offer basic information for the design of enclosed spaces. The data of this study were gathered from the experiment through simulation. Photographic sampling of 7 campus sites located in Kwanak campus of Seoul National University and slides of perspective drawings of enclosed spaces with various D/H ratio (12, 1, 2, 4, 6, 9, 12)were used for simulation. A response format was made using the method of paired comparison and students from various departments were randomly selected for evaluation. In the method of analysis of data Thurstone's equation of Comparative Judgement was used for calculating preference score. A1so non-linear regression analysis was used for finding out relations between preference and D/H ratio. The other method of data analysis were correlation, Chi - test. And the results were summarized as follows. 1. In sketch simulation the ratio of D/H 4 got the highest preference store. This result suggests that desirable D/H ratio of enclosed space is D/H 4. And at the lower range of D/H ratio, as ratio increases, the preference score increases. At the higher range of D/H ratio, however, as ratio increases, the preference score starts to decrease from the cardinal point of D/H 4. 2. In campus photograph simulation preference is influenced by slope, elevation change of floor, trees, lawn area, familiarity, space arrangement, and exterior shape of building besides D/H ratio. 3. The preference virtue was not significantly affected by order effect. This result suggests that order effect can be ignored in the study of visual preference. 4. There are so many factors related to preference that it is difficult to explore those factors without scientific information based on scientific method. We must carry out study for scientific approach of planning and design based on precise, complete simulation technique.

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