• 제목/요약/키워드: Result Analysis and Evaluation

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The Study on an Automated Generation Method of Road Drawings using Road Survey Vehicle (도로교통안전점검차량을 이용한 도로의 자동도면화 생성 연구)

  • Lee, Jun Seok;Yun, Duk Geun;Park, Jae Hong
    • International Journal of Highway Engineering
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    • v.16 no.5
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    • pp.91-98
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    • 2014
  • PURPOSES : This study is to develop a automate road mapping system using ARASEO(Automated Road Analysis and Safety Evaluation TOol) for road management. METHODS : The road survey van named ARASEO(Automated Road Analysis and Safety Evaluation TOol) was used to generate highway drawings for Korea National Road number 37 automatically. In order to generate the highway drawings for purpose of road management, it is required to acquired the information for highway alignment, road width and road facilities such as safety barrier and road sign. Therefore the survey van acquired and analyzed the road width, median and guardrail data using rear side laser sensor of ARASEO and recognized the traffic control sign and chevron sign using foreside camera images. Also the highway alignment which is the basic information for highway drawing can be analyzed by acquisition the every 1m positional and attitude data using GPU and IMU sensor and developed algorithm. Finally, in this research the CAD based drawing software was developed to draw highway drawing using the analysis result from ARASEO. RESULTS : This study showed the comparison result of the surveyed road width and drawing data. To make the drawing of the road, we made the Autocad ARX program witch run in CAD menu interface. CONCLUSIONS : Using this program we can create the road center line, every 500m horizontal and vertical ground plan drawing automatically.

Development and Utilization of KASP Markers for the Identification of Three Types of Ephedra Herbs (마황 3종 판별을 위한 KASP 마커 개발과 활용)

  • Boreum, Park;Sun Hee, Lee;Kyung-Moon, Han;Jin Woo, Hwang;Hyung il, Kim;Sun Young, Baek
    • Korean Journal of Pharmacognosy
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    • v.53 no.4
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    • pp.226-233
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    • 2022
  • Ephedra herbs are defined as stem of Ephedra sinica , Ephedra intermedia and Ephedra equisetina in the Korean Pharmacopoeia. It is important to use pure herbs to derive the safety and efficacy of herbal medicine. However, the identification of these herbs by conventional taxonomic methods is difficult. Recently, many studies have applied these DNA barcoding for the identification of herbal medicinal species using standard DNA markers. In this study, we report a case study in which the identification of Ephedra species was done by DNA barcoding. For identification of Ephedra species, 17 samples were collected, and a reference DNA barcode library was developed using 6 markers (rbcL, matK, ITS2, ycf1, ycf3, and rpoC2). To develop KASP-SNP markers, we selected 4 markers (ycf1, ycf3, rpl2, and rbcL), which were able to distinguish three Ephedra species. In the result, the specific markers for each of the three Ephedra were clustered into FAM-positive section, whereas non-targeted plants were clustered either HEX-positive or negative section. Therefore, we have developed KASP assay that allow rapid and easy Ephedra species identification using three KASP markers.

Evaluation of Order for Allocation of Rescue Unit using Analytic Network Process (ANP법을 이용한 수색.구조선의 할당순위 평가)

  • Jang, Woon-Jae;Keum, Jong-Soo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.13 no.2 s.29
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    • pp.155-160
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    • 2007
  • This paper aims to evaluation of order for allocation of rescue unit using Analytic Network Process. For evaluation, in this paper, assess about person, ship and environment related risk by fuzzy logic and AHP(Analytic hierarchy Process). Also, quantity and quality operation efficiency assess by DEA(Data Envelopment Analysis) and Liquate scale. finally total weight calculate by ANP. At the result, Rescue Units of MP, YS RCC/RSC is order higher. Thus, it needs to have more rescue ships and rescue devices for relieving the risk in the future.

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An analysis of domestic research trends of mathematics curriculum research through topic modeling: Focused on domestic journals published from 1997 to 2019 (토픽모델링을 활용한 국내 수학과 교육과정 연구 동향 분석 : 1997년부터 2019년까지 게재된 국내 수학교육 학술지 논문을 중심으로)

  • Son, Taekwon;Lee, Kwangho
    • The Mathematical Education
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    • v.59 no.3
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    • pp.201-216
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    • 2020
  • This study analyzed 493 domestic mathematics curriculum articles published in KCI's listings from 1997 to 2019 using LDA topic modeling. As a result, domestic mathematics curriculum research could be categorized into eight topics such as 'context in a curriculum', 'analysis a curriculum by the mathematical concept', 'form, system, meaning, and character of a curriculum', 'instruction and application of a curriculum', 'implementation and evaluation of a curriculum', 'tasks in a curriculum', 'analysis of a curriculum based on ability', 'compare and analysis curriculum and textbook'. The topic 'implementation and evaluation of a curriculum' was identified with the lowest proportion. Also, we performed the simple regression analysis with the weight of topics in the application period of the curriculum, and 'analysis of a curriculum based on ability' appeared as a 'hot topic'. Furthermore, topics appeared differently depending on the application period of the curriculum. Some of the appeared topics showed a tendency to match the emphasis of the highlight in a mathematics curriculum. Based on the results, future studies should develop frameworks for mathematics curriculum studies and extend the field of mathematical curriculum studies to make progress. Furthermore, future studies are needed to examine the enactment, feedback, and competency evaluation in the mathematical curriculum.

HIERARCHICAL CLUSTER ANALYSIS by arboART NEURAL NETWORKS and its APPLICATION to KANSEI EVALUATION DATA ANALYSIS

  • Ishihara, Shigekazu;Ishihara, Keiko;Nagamachi, Mitsuo
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2002.05a
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    • pp.195-200
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    • 2002
  • ART (Adaptive Resonance Theory [1]) neural network and its variations perform non-hierarchical clustering by unsupervised learning. We propose a scheme "arboART" for hierarchical clustering by using several ART1.5-SSS networks. It classifies multidimensional vectors as a cluster tree, and finds features of clusters. The Basic idea of arboART is to use the prototype formed in an ART network as an input to other ART network that has looser distance criteria (Ishihara, et al., [2,3]). By sending prototype vectors made by ART to one after another, many small categories are combined into larger and more generalized categories. We can draw a dendrogram using classification records of sample and categories. We have confirmed its ability using standard test data commonly used in pattern recognition community. The clustering result is better than traditional computing methods, on separation of outliers, smaller error (diameter) of clusters and causes no chaining. This methodology is applied to Kansei evaluation experiment data analysis.

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Analysis of Resident's Satisfaction and Its Determining Factors on Residential Environment: Using Zigbang's Apartment Review Bigdata and Deeplearning-based BERT Model (주거환경에 대한 거주민의 만족도와 영향요인 분석 - 직방 아파트 리뷰 빅데이터와 딥러닝 기반 BERT 모형을 활용하여 - )

  • Kweon, Junhyeon;Lee, Sugie
    • Journal of the Korean Regional Science Association
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    • v.39 no.2
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    • pp.47-61
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    • 2023
  • Satisfaction on the residential environment is a major factor influencing the choice of residence and migration, and is directly related to the quality of life in the city. As online services of real estate increases, people's evaluation on the residential environment can be easily checked and it is possible to analyze their satisfaction and its determining factors based on their evaluation. This means that a larger amount of evaluation can be used more efficiently than previously used methods such as surveys. This study analyzed the residential environment reviews of about 30,000 apartment residents collected from 'Zigbang', an online real estate service in Seoul. The apartment review of Zigbang consists of an evaluation grade on a 5-point scale and the evaluation content directly described by the dweller. At first, this study labeled apartment reviews as positive and negative based on the scores of recommended reviews that include comprehensive evaluation about apartment. Next, to classify them automatically, developed a model by using Bidirectional Encoder Representations from Transformers(BERT), a deep learning-based natural language processing model. After that, by using SHapley Additive exPlanation(SHAP), extract word tokens that play an important role in the classification of reviews, to derive determining factors of the evaluation of the residential environment. Furthermore, by analyzing related keywords using Word2Vec, priority considerations for improving satisfaction on the residential environment were suggested. This study is meaningful that suggested a model that automatically classifies satisfaction on the residential environment into positive and negative by using apartment review big data and deep learning, which are qualitative evaluation data of residents, so that it's determining factors were derived. The result of analysis can be used as elementary data for improving the satisfaction on the residential environment, and can be used in the future evaluation of the residential environment near the apartment complex, and the design and evaluation of new complexes and infrastructure.

Evaluation of Young's Modulus of a Cantilever Beam by TA-ESPI (TA-ESPI에 의한 외팔보의 탄성계수 측정)

  • Lee H.S.;Kim K.S.;Kang K.S.;Jung H.C.;Yang S.P.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.1115-1119
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    • 2005
  • The paper proposes the elastic modulus evaluation technique of a cantilever beam by vibration analysis based on time-average electronic speckle pattern interferometry (TA-ESPI) with non-contact and nondestructive and Euler-Bernoulli equation. General approaches for the measurement of elastic modulus of thin film are Nano indentation test, Bulge test and Micro-tensile test and so on. They each have strength and weakness in the preparation of test specimen and the analysis of experimental result. ESPI has been developed as a common measurement method for vibration mode visualization and surface displacement. Whole-field vibration mode shape (surface displacement distribution) at a resonance frequency can be visualized by ESPI. And the maximum surface displacement distribution from ESPI is a clue to find the resonance frequency at each vibration mode shape. And the elastic modules of test material can be easily estimated from the measured resonance frequency and Euler-Bernoulli equation. The TA-ESPI vibration analysis technique is able to give the elastic modulus of materials through the simple processing of preparation and analysis.

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A comparative study of consumer evaluation according to category similarity and store type of bi-national product (복합원산지제품의 카테고리 유사성 및 매장유형에 따른 소비자평가의 비교연구)

  • Son, Jeyoung;Kang, Inwon
    • International Commerce and Information Review
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    • v.19 no.2
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    • pp.193-212
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    • 2017
  • In order to evaluate the evaluation of bi-national products, this study was classified according to product category similarity. In addition, by comparing the types of stores, we tried to suggest alternatives that can be practically applied to companies producing composite origin products. For this purpose, this study is applied to the analysis of bi-national product by product categories, such as public luxury, public luxury, private luxury, and private necessity, based on the psychological bases of consumers. The types of stores are divided into department store/direct store, outlet/discount store to elaborate measurement. As a result of the verification, it was found that brand evaluation and store evaluation had interactive effects depending on product type and store type. Specifically, in the case of public luxury goods, outlets/discount stores in both brand evaluation and store evaluation showed positive evaluation than department store/direct store. In the case of private necessity, there was no significant difference in brand evaluation, but in store evaluation, department store/direct store was confirmed that they had a relatively positive evaluation than outlets/discount stores. As a result, it was verified that consumers' evaluations can be changed according to the type of sales store for each product.

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Creep Damage Evaluation of High-Temperature Pipeline Material for Fossil Power Plant by Ultrasonic Frequency Analysis Spectrum Method (초음파 주파수분석법에 의한 발전소 고온배관재료의 크리프손상 평가)

  • Chung, Min-Hwa;Lee, Sang-Guk
    • Journal of Ocean Engineering and Technology
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    • v.13 no.2 s.32
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    • pp.90-98
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    • 1999
  • Boiler high-temperature pipelines such as main steam pipe, header and steam drum in fossil power plants are degraded by creep damage due to severe operationg conditions like high temperature and high pressure for an extended period time. Such material degradation lead to various component faliures causing serious accidents at the plant. Conventional measurement techniques such as replica method, electric resistance method, and hardness test method have such disadvantages as complex preparation and measurement procedures, too many control parameters, and therefore, low practicality and they were applied only to component surfaces with good accessibility. In this study, both artificial creep degradation test using life prediction formula and frequency analysis by ultrasonic tests for their preparing creep degraded specimens have been carried out for the purpose of nondestructive evaluation for creep damage which can occur in high-temperature pipelline of fossil power plant. As a result of ultrasonic tests for crept specimens, we confirmed that the high frequency side spectra decrease and central frequency components shift to low frequency bans, and bandwiths decrease as increasing creep damage in backwall echoes.

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Evaluation of Risk Factors of Musculoskeletal Disorders in Cashier Work Activities (계산직 작업의 근골격계질환 유해요인 평가)

  • Hwang, Jae-Jin;Jung, Myung-Chul;Kim, Hyun-Joo;JungChoi, Kyung-Hee;Bahk, Jin-Wook;Lee, In-Seok
    • Journal of the Korean Society of Safety
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    • v.26 no.3
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    • pp.75-82
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    • 2011
  • The objective of this study was to identify risk factors associated with the occurrence of musculo-skeletal symptoms of cashiers and provide suggestions for an improved workspace design. Workload and exertion of each task were measured using job analysis and posture analysis. The three most time-consuming tasks were waiting (43.8%), scanning (23.5%) and payment transaction (22.9%). It was analyzed that the workspace can be improved by applying Korean anthropometric data to the design of the desk height. The most common posture was a standing posture with neutral back, and bent lower arms and hands. Finally, it was revealed that 'scanning' and 'payment transaction' seemed more stressful than other operations. The result of the ergonomic evaluation would be a useful basis for designing an improved workspace.