• Title/Summary/Keyword: assessment of codes

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A Study on Improvement for Organizing Construction Bill of Quantity based on Digital Quantity Take-Off (디지털 수량산출에 기반한 건축공사 내역서 구성에 대한 연구)

  • Song, A-Reum;Kang, Ki-Su;Yun, Seok-Heon
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2014.05a
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    • pp.198-199
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    • 2014
  • In construction management the estimation procedure of construction expanses follows a series of submission phases: production of drawings, the assessment report, and the expanse report. In South Korea, it is a widely known issue that the expanse report only includes the net expanses at each construction phase and part, which makes it difficult to trace detailed basis from the records. This issue with inefficient record management should pose a number of problems, which result from discontinuation of construction record, unproductiveness for reproduction of records at each construction and submission phases for construction management, and failure to perform fair management among the contracting parties. Thus, the amendment in which the assessment report and the quantity estimation report reflect common codes to share throughout types of construction, space, and parts should be applied into practices so as to model production of acceptable reports and record.

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Prescription Characteristics of Antibiotics for Clinical Subjects of Acute Respiratory Infection Outpatients -Using National Health Insurance Big Data- (급성호흡기감염 환자의 표시과목별 항생제 처방특성 -국민건강보험 빅데이터를 활용하여-)

  • Gong, Mi-Jin;Hwang, Byung-Deog
    • The Korean Journal of Health Service Management
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    • v.13 no.4
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    • pp.121-132
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    • 2019
  • Objectives: This study analyzed the prescription antibiotics characteristics of Acute respiratory infection outpatients. It provides a basis for establishing the correct evaluation project on appropriate prescribing indicators. Methods: The research data were collected from the National Health Insurance Corporation's 2014 sample cohort for Internal Medicine, Pediatrics, Otorhinolaryngology, Family Medicine and General practitioner clinics classification of diseases codes J00-J06, J20-J22, J40 outpatients. Results: The antibiotic prescription rate on the evaluation project for appropriate prescribing indicators of Health Insurance Review & Assessment Service was 43.54%, whereas in this study it was about 10% higher because the analysis targeted the entire acute respiratory infection diagnosis. Conclusions: There is a need to identify the correct antibiotic prescription by expanding the current assessment standard. Such standard must include acute lower respiratory infections and minor diagnosis because current evaluation projects on appropriate prescribing indicators targets only the major diagnosis of acute upper respiratory infection.

Perceptions of preservice teachers on AI chatbots in English education

  • Yang, Jaeseok
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.1
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    • pp.44-52
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    • 2022
  • With recent scientific advances and growing interest in AI technologies, AI-based chatbots have been viewed as a practical learning aid for English language development. The purpose of this study is to examine preservice teachers' perceptions on the potential benefits of employing AI chatbots in English instruction and its pedagogical aspects. 28 preservice teachers majoring in English education were asked to use Kuki chatbots for a week with a guidance of a researcher and then report on their perceptions of AI chatbots in terms of perceived usefulness after use, applicability, and educational benefits and drawbacks. Emerging codes and themes were identified and evaluated using Thematic Analysis(TA) based on qualitative data from surveys and interviews. The findings show that six emerging themes were identified, encompassing perspectives on teacher, learner, communication, linguistic, affective, and assessment. The overall findings of this study revealed that AI-based chatbots can play a significant role as learning tools for stimulating interactive communication in a target language. Most preservice primary teachers acknowledge that AI chatbots can be useful as teaching and learning aids for both teachers and students. Furthermore, when applying various learner data to chatbot technology, such as learner assessment and diagnosis, a guided approach is necessary to perform a conversation appropriate for the learner's level and characteristics. Finally, as chatbots have a variety of benefits in terms of affective aspects, they may improve EFL learners' confidence in speaking English and learning motivation.

Characteristics of Prescription Drugs for Acute Upper Respiratory Tract Infection in Outpatient Clinics - Centered on Family Medicine, Internal Medicine, Pediatrics, Otorhinolaryngology and General Practitioner Clinics - (1차 의료기관의 급성 상기도 감염 질환자 의약품 처방특성 - 가정의학과, 내과, 소아청소년과, 이비인후과, 일반의 중심으로 -)

  • Gong, Mi-Jin;Hwang, Byung-Deog
    • The Korean Journal of Health Service Management
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    • v.11 no.3
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    • pp.37-49
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    • 2017
  • Objectives : This study analyzes the characteristics of prescription drugs for acute upper respiratory tract infection in outpatient clinics and provides basis for establishing the correct evaluation project on appropriate prescribing indicators. Methods : Research data were collected from two for each family medicine, internal medicine, pediatric, otorhinolaryngology and general practitioner clinics with a total of 10 clinics with diseases classifications codes J00-J06, J20 on patients receiving treatment between January 1, 2013 and December 31, 2013 every Monday in Busan City. Results : The antibiotic prescription rate in evaluating the project on appropriate prescribing indicators of Health Insurance Review & Assessment Service was 44.3%, whereas this study was approximately 30% higher because analysis to target the entire cold-related diagnosis. Conclusions : The correct antibiotic prescription by expanding the current assessment standard should be identified as a minor diagnosis because the evaluation project on appropriate prescribing indicators targets the major diagnosis only.

Performance assessment of RC frame designed using force, displacement & energy based approach

  • Kumbhara, Onkar G.;Kumar, Ratnesh
    • Structural Engineering and Mechanics
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    • v.73 no.6
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    • pp.699-714
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    • 2020
  • Force based design (FBD) approach is prevalent in most of the national seismic design codes world over. Direct displacement based design (DDBD) and energy based design (EBD) approaches are relatively new methods of seismic design which claims to be more rational and predictive than the FBD. These three design approaches are conceptually distinct and imparts different strength, stiffness and ductility property to structural members for same plan configuration. In present study behavioural assessment of frame of six storey RC building designed using FBD, DDBD and EBD approaches has been performed. Lateral storey forces distribution, reinforcement design and results of nonlinear performance using static and dynamic methods have been compared. For the three approaches, considerable difference in lateral storey forces distribution and reinforcement design has been observed. Nonlinear pushover analysis and time history analysis results show that in FBD frame plastic deformation is concentrated in the lower storey, in EBD frame large plastic deformation is concentrated in the middle storeys though the inelastic hinges are well distributed over the height and, in DDBD frame plastic deformation is approximately uniform over the height. Overall the six storey frame designed using DDBD approach seems to be more rational than the other two methods.

A Study on the Application of Natural Language Processing in Health Care Big Data: Focusing on Word Embedding Methods (보건의료 빅데이터에서의 자연어처리기법 적용방안 연구: 단어임베딩 방법을 중심으로)

  • Kim, Hansang;Chung, Yeojin
    • Health Policy and Management
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    • v.30 no.1
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    • pp.15-25
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    • 2020
  • While healthcare data sets include extensive information about patients, many researchers have limitations in analyzing them due to their intrinsic characteristics such as heterogeneity, longitudinal irregularity, and noise. In particular, since the majority of medical history information is recorded in text codes, the use of such information has been limited due to the high dimensionality of explanatory variables. To address this problem, recent studies applied word embedding techniques, originally developed for natural language processing, and derived positive results in terms of dimensional reduction and accuracy of the prediction model. This paper reviews the deep learning-based natural language processing techniques (word embedding) and summarizes research cases that have used those techniques in the health care field. Then we finally propose a research framework for applying deep learning-based natural language process in the analysis of domestic health insurance data.

Extraction Scheme of Function Information in Stripped Binaries using LSTM (스트립된 바이너리에서 LSTM을 이용한 함수정보 추출 기법)

  • Chang, Duhyeuk;Kim, Seon-Min;Heo, Junyoung
    • Journal of Software Assessment and Valuation
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    • v.17 no.2
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    • pp.39-46
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    • 2021
  • To analyze and defend malware codes, reverse engineering is used as identify function location information. However, the stripped binary is not easy to find information such as function location because function symbol information is removed. To solve this problem, there are various binary analysis tools such as BAP and BitBlaze IDA Pro, but they are based on heuristics method, so they do not perform well in general. In this paper, we propose a technique to extract function information using LSTM-based models by applying algorithms of N-byte method that is extracted binaries corresponding to reverse assembling instruments in a recursive descent method. Through experiments, the proposed techniques were superior to the existing techniques in terms of time and accuracy.

Comparison of Radioactive Waste Transportation Risk Assessment Using Deterministic and Probabilistic Methods (결정론적 및 확률론적 방법을 이용한 방사성폐기물 운반 위험도 평가 비교·분석 )

  • Min Woo Kwak;Hyeok Jae Kim;Ga Eun Oh;Shin Dong Lee;Kwang Pyo Kim
    • Journal of Radiation Industry
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    • v.17 no.1
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    • pp.83-92
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    • 2023
  • When assessing the risk of radioactive wastes transportation on land, computer codes such as RADTRAN and RISKIND are used as deterministic methods. Transportation risk assessment using the deterministic method requires a relatively short assessment time. On the other hand, transportation risk assessment using the probabilistic method requires a relatively long assessment time, but produces more reliable results. Therefore, a study is needed to evaluate the exposure dose using a deterministic method that can be evaluated relatively quickly, and to compare and analyze the exposure dose result using a probabilistic method. The purpose of this study is to evaluate the exposure dose during transportation of radioactive wastes using deterministic and probabilistic methods, and to compare and analyze them. For this purpose, the main exposure factors were selected and various exposure situations were set. The distance between the radioactive waste and the receptor, the size of the package, and the speed of vehicle were selected as the main exposure factors. The exposure situation was largely divided into when the radioactive wastes were stationary and when they were passing. And the dose (rate) model of the deterministic overland transportation risk assessment computer code was analyzed. Finally, the deterministic method of the RADTRAN computer code and the RISKIND computer code and the probabilistic method of the MCNP 6 computer code were used to evaluate the exposure dose in various exposure situations during transportation of radioactive wastes. Then we compared and analyzed them. As a result of the evaluation, the tendency of the exposure dose (rate) was similar when the radioactive wastes were stationary and passing. For the same situation, the evaluation results of the RADTRAN computer code were generally more conservative than the results of the RISKIND computer code and the MCNP 6 computer code. The evaluation results of the RISKIND computer code and the MCNP 6 computer code were relatively similar. The results of this study are expected to be used as basic data for establishing the radioactive wastes transportation risk assessment system in Korea in the future.

Performance-based seismic design of reinforced concrete ductile buildings subjected to large energy demands

  • Teran-Gilmore, Amador;Sanchez-Badillo, Alberto;Espinosa-Johnson, Marco
    • Earthquakes and Structures
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    • v.1 no.1
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    • pp.69-91
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    • 2010
  • Current seismic design codes do not contemplate explicitly some variables that are relevant for the design of structures subjected to ground motions exhibiting large energy content. Particularly, the lack of explicit consideration of the cumulative plastic demands and of the degradation of the hysteretic cycle may result in a significant underestimation of the lateral strength of reinforced concrete structures built on soft soils. This paper introduces and illustrates the use of a numerical performance-based methodology for the predesign of standard-occupation reinforced concrete ductile structures. The methodology takes into account two limit states, the performance of the non-structural system, and in the case of the life safety limit state, the effect of cumulative plastic demands and of the degradation of the hysteretic cycle on the assessment of structural performance.

Buckling assessment of dented truncated cones under external pressure

  • Ghazijahani, Tohid Ghanbari;Showkati, Hossein;Jiao, Hui
    • Advances in Computational Design
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    • v.1 no.4
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    • pp.345-356
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    • 2016
  • Notwithstanding a considerable body of references in the literature on the buckling response of conical shell structures, it seems imperative to provide further insight on the buckling response of locally imperfect steel cones. This paper contains different simulations including non-linear FE analysis and discusses the influence of dent imperfection on the buckling load of these structures subject to external pressure. Data of the present work are evaluated against available experimental results, codes and recommendations and the effect of the local damages is exhaustively set forth. It is also found that the employed FE program can reliably predict the structural response of locally damaged conical shells.