• Title/Summary/Keyword: Validity Index

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Validity Evaluation of Virtual Training in Maritime Safety (해사안전 가상훈련의 유효성 평가)

  • Jung, Jin-Ki;Lee, Hyeop-Woo;Park, Deuk-Jin;Ahn, Young-Joong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2018.11a
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    • pp.25-26
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    • 2018
  • Virtual training is widely used based on safety and cost efficiency as a way to efficiently train based on virtual reality. In this paper, we propose the implementation and validation evaluation of life safety training, life training in closed area training, initial fire extinguishing training as a virtual training in maritime safety training. Specifically, we discuss how to implement virtual training to meet the goals of each training, and we propose training methods for evaluating trainees' effectiveness when implemented in this manner. The proposed evaluation method can be used as a quantitative evaluation index of the trainee's training assessment of the training and the safety contribution of the training to the evaluation of the training efficienc

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Additive Noise Reduction Algorithm for Mass Spectrum Analyzer (질량 스펙트럼 분석기를 위한 부가잡음제거 알고리즘)

  • Choi, Hun;Lee, Imgeun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.1
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    • pp.33-39
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    • 2018
  • An additive noise reduction algorithm for a mass spectrum analyzer is proposed. From the measured ion signal, we first used an estimated threshold from the mode of the measured signal to eliminate background noises with the white Gaussian characteristics. Also, a signal block corresponding to each mass index is constructed to perform a second order curve fitting and a linear approximation to signal block. In this process, the effective signal block composed of only the ion signal can be reconstructed by removing the impulsive noises and the sample signals which are insufficient to be viewed as normal ion signals. By performing curve fitting on the effective signal block, the noise-free mass spectrum can be obtained. To evaluate the performance of the proposed method, a simulation was performed using the signals acquired from the development equipment. Simulation results show the validity of the threshold setting from the mode and the superiority of the proposed curve fitting and linear approximation based noise canceling algorithm.

Fuzzy-AHP-Based Technology Evaluation Model for venture firms (Fuzzy-AHP에 기반을 둔 벤처기업의 기술력 평가 모델)

  • Joun, Hyang-Soon;Lee, Sang-Yong
    • Journal of Digital Convergence
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    • v.14 no.7
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    • pp.363-371
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    • 2016
  • Technology evaluation for technology innovation of venture firms should take the rapidly changing corporate environment, the ambiguity of language used in evaluation, and the inaccuracy of evaluation index into consideration. In this paper, targeting the absorptive capacity and technological entrepreneurship which are typical evaluation factors of venture firms, an ACTEM model to calculate the importance, priority, and dynamic capability of factors, applying Fuzzy-AHP was proposed. The fuzzy theory was introduced to compensate for the ambiguity of cognitive judgments when calculating weighted values for the factors that made up an assessment scale. An assessment criteria framework for absorptive capacity, technological entrepreneurship, and dynamic capability, which were not considered in previous studies on the evaluation and measurement of technological prowess, so that the users could have a realistic alternative to choose. The study compared the ACTEM model with the old AHP assessment method and found that "knowledge acquisition" and "producing ability" were the highest in absorptive capacity and technological entrepreneurship, respectively, thus demonstrating its validity.

Revision and Application of the Target Pattern in Food Guidance System - Administered to 2nd grade middle school students - (권장식사패턴의 수정안 고안 및 적용 - 중학교 2학년 남녀 학생의 식단계획 작성 및 평가 -)

  • Lee, Ha Yeon;Kim, Youngnam
    • Korean Journal of Community Nutrition
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    • v.19 no.3
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    • pp.274-282
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    • 2014
  • Objectives: The objective of this study was to revise the target pattern in food guidance system for adolescents' balanced menu planning. Methods: The food groups in the target pattern were divided into detailed food items, and intake number were assigned to each food items based on the revised standard food composition table. The validity of revised target pattern was examined. Menu planning according to the revised target pattern was made available to 305 male and female middle school students and the nutritional assessment of the menu plan were carried out using SPSS WIN 12.0. Results: The energy contents, energy contribution ratios of carbohydrate, fat, and protein, and 4 minerals' and 6 vitamins' contents of the revised target pattern were adequate. The average energy contents of the menu planned according to revised target pattern were 400~500 kcal higher than that of the revised target pattern when the revised standard food composition was applied. The energy contribution ratios of fat were 28.9%, close to maximum of acceptable macronutrient distribution range (AMDR) (30%), and that of carbohydrate were 54.5%, lower than minimum of AMDR (55%). The nutrient adequacy ratios (NARs) of calcium and vitamin C were less than 1.0. According to index of nutritional quality (INQ) of food items, kimchi, milk dairy products, and soybean curd were energy efficient source for calcium, kimchi, fruit, vegetable and seaweed were energy efficient source for vitamin C, with INQ of food items were higher or close to 2.0. Kimchi was the best energy efficient source of calcium and vitamin C. Conclusions: Revised target pattern based on the adolescent's foods intake was not good enough for balanced menu planning by adolescents, because what they ate and what they wanted to eat were very much different. Detailed guidance for food selection is necessary in each food items.

Improvement of the Radiation Beam Profile of a Medical Ultrasonic Transducer (의료용 초음파 트랜스듀서의 방사 빔 형상 개선)

  • Park, Yeonsue;Lee, Wonseok;Roh, Yongrae
    • The Journal of the Acoustical Society of Korea
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    • v.34 no.4
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    • pp.264-273
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    • 2015
  • Improvement of the radiation beam profile of a medical ultrasonic transducer has been researched in this paper. In order to improve the beam profile, a new transducer structure has been devised that includes both a shaded electrode and a multi-focus lens. For a linear sound source, the beam profile was investigated through finite element analysis, and then the optimal design of the devised structure was carried out by considering such performances as sidelobe level, focal range and beamwidth simultaneously. In the process, the optimal dimension of the devised structure was derived by using the ratio of the focal range to the minimum beamwidth as a performance index. As a result, the beam profile has been improved to have a lower sidelobe level at -20.2 dB and a consistent narrow beamwidth from 30 mm to 160 mm depth with the minimum beamwidth at 2.04 mm. Further, a prototype transducer was fabricated to have the devised structure, and its performance was measured and compared with the analysis results to confirm the validity of the devised transducer structure.

The Development of the Analytic Coding Frames on the Abductive Reasoning in Scientific Inquiry (과학자의 과학적 탐구과정에서 나타나는 귀추적 추론 분석틀 개발)

  • Cho, Hyun-Jun;Jeong, Sun-Hee;Yang, Il-Ho
    • Journal of the Korean earth science society
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    • v.29 no.7
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    • pp.586-601
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    • 2008
  • The purpose of this study was to identify the scientists' abductive reasoning in three stages of hypothetical-deductive inquiry process; generating hypothesis, designing, and interpreting data and to suggest new analytic coding frames on abductive reasoning in each of the stages. For this purpose, the interview protocols collected through in-depth interviews with eight scientists were analyzed by the early frame with sub-elements derived from the literature reviews. The need of a new frame of analysis beyond the previously established elements arose from the result of this analysis because the processes of abductive reasoning were found in all three stages. Based on scientists' interview data, this study then designed a new frame of analytic coding frames on the abductive reasoning in each of the stages. The content validity index from four experts was 0.90, and these frames showed a good fit to analyze the scientists' real process of abduction in three stages of hypothetical-deductive inquiry process.

Image based Concrete Compressive Strength Prediction Model using Deep Convolution Neural Network (심층 컨볼루션 신경망을 활용한 영상 기반 콘크리트 압축강도 예측 모델)

  • Jang, Youjin;Ahn, Yong Han;Yoo, Jane;Kim, Ha Young
    • Korean Journal of Construction Engineering and Management
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    • v.19 no.4
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    • pp.43-51
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    • 2018
  • As the inventory of aged apartments is expected to increase explosively, the importance of maintenance to improve the durability of concrete facilities is increasing. Concrete compressive strength is a representative index of durability of concrete facilities, and is an important item in the precision safety diagnosis for facility maintenance. However, existing methods for measuring the concrete compressive strength and determining the maintenance of concrete facilities have limitations such as facility safety problem, high cost problem, and low reliability problem. In this study, we proposed a model that can predict the concrete compressive strength through images by using deep convolution neural network technique. Learning, validation and testing were conducted by applying the concrete compressive strength dataset constructed through the concrete specimen which is produced in the laboratory environment. As a result, it was found that the concrete compressive strength could be learned by using the images, and the validity of the proposed model was confirmed.

Optimal Location of FACTS Devices Using Adaptive Particle Swarm Optimization Hybrid with Simulated Annealing

  • Ajami, Ali;Aghajani, Gh.;Pourmahmood, M.
    • Journal of Electrical Engineering and Technology
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    • v.5 no.2
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    • pp.179-190
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    • 2010
  • This paper describes a new stochastic heuristic algorithm in engineering problem optimization especially in power system applications. An improved particle swarm optimization (PSO) called adaptive particle swarm optimization (APSO), mixed with simulated annealing (SA), is introduced and referred to as APSO-SA. This algorithm uses a novel PSO algorithm (APSO) to increase the convergence rate and incorporate the ability of SA to avoid being trapped in a local optimum. The APSO-SA algorithm efficiency is verified using some benchmark functions. This paper presents the application of APSO-SA to find the optimal location, type and size of flexible AC transmission system devices. Two types of FACTS devices, the thyristor controlled series capacitor (TCSC) and the static VAR compensator (SVC), are considered. The main objectives of the presented method are increasing the voltage stability index and over load factor, decreasing the cost of investment and total real power losses in the power system. In this regard, two cases are considered: single-type devices (same type of FACTS devices) and multi-type devices (combination of TCSC, SVC). Using the proposed method, the locations, type and sizes of FACTS devices are obtained to reach the optimal objective function. The APSO-SA is used to solve the above non.linear programming optimization problem for better accuracy and fast convergence and its results are compared with results of conventional PSO. The presented method expands the search space, improves performance and accelerates to the speed convergence, in comparison with the conventional PSO algorithm. The optimization results are compared with the standard PSO method. This comparison confirms the efficiency and validity of the proposed method. The proposed approach is examined and tested on IEEE 14 bus systems by MATLAB software. Numerical results demonstrate that the APSO-SA is fast and has a much lower computational cost.

Key Frame Extraction and Region Segmentation-based Video Retrieval in Compressed Domain (압축영역에서의 대표프레임 추출 및 영역분할기반 비디오 검색 기법)

  • 강응관;김성주;송호근;최종수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.9B
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    • pp.1713-1720
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    • 1999
  • This paper presents a new key frame extraction technique, for scene change detection, using the proposed AHIM (Accumulative Histogram Intersection Measure) from the DC image constructed by DCT DC coefficients in the compressed video sequence that is video compression standard such as MPEG. For fast content-based browsing and video retrieval in a video database, we also provide a novel coarse-to-fine video indexing scheme. In the extracted key frame, we perform the region segmentation as a preprocessing. First, the segmented image is projected with the horizontal direction, then we transform the result into a histogram, which is saved as a database index. In the second step, we calculate the moments and change them into a distance value. From the simulation results, the proposed method clearly shows the validity and superiority in respect of computation time and memory space, and that in conjunction with other techniques for indexing, such as color, can provide a powerful framework for image indexing and retrieval.

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An Investigation of a Sensibility Evaluation Method Using Big Data in the Field of Design -Focusing on Hanbok Related Design Factors, Sensibility Responses, and Evaluation Terms- (디자인 분야에서 빅데이터를 활용한 감성평가방법 모색 -한복 연관 디자인 요소, 감성적 반응, 평가어휘를 중심으로-)

  • An, Hyosun;Lee, Inseong
    • Journal of the Korean Society of Clothing and Textiles
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    • v.40 no.6
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    • pp.1034-1044
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    • 2016
  • This study seeks a method to objectively evaluate sensibility based on Big Data in the field of design. In order to do so, this study examined the sensibility responses on design factors for the public through a network analysis of texts displayed in social media. 'Hanbok', a formal clothing that represents Korea, was selected as the subject for the research methodology. We then collected 47,677 keywords related to Hanbok from 12,000 posts on Naver blogs from January $1^{st}$ to December $31^{st}$ 2015 and that analyzed using social matrix (a Big Data analysis software) rather than using previous survey methods. We also derived 56 key-words related to design elements and sensibility responses of Hanbok. Centrality analysis and CONCOR analysis were conducted using Ucinet6. The visualization of the network text analysis allowed the categorization of the main design factors of Hanbok with evaluation terms that mean positive, negative, and neutral sensibility responses. We also derived key evaluation factors for Hanbok as fitting, rationality, trend, and uniqueness. The evaluation terms extracted based on natural language processing technologies of atypical data have validity as a scale for evaluation and are expected to be suitable for utilization in an index for sensibility evaluation that supplements the limits of previous surveys and statistical analysis methods. The network text analysis method used in this study provides new guidelines for the use of Big Data involving sensibility evaluation methods in the field of design.