• 대한의용생체공학회:의공학회지
• /
• 제15권3호
• /
• pp.355-364
• /
• 1994

The most important requirement for the controller of a prosthetic arm is that it has a high fidelity discriminator where the motion control may be performed open loop using EMG signals as a control source. Therefore, it is very effective method to reduce the influence of misclassification of classifier for the total system performance. This paper presents the new function discrimination method which combines MLP classifier and frizzy filter by stages for the requirement. The major advantage of MLP is a consistent learning capability for the easy adaptation to environments. The fuzzy filter uses all informations of MLP outputs and prior EMG activity informations which increase as the experience increases. That property is superior to one which uses maximum output of MLP in view of information amounts and quality. Simulation result shows that proposed method is superior to the probabilistic model, MLP model and the combined model of both in the respect of discrimination quaity.

• Architectural research
• /
• 제17권3호
• /
• pp.83-91
• /
• 2015

A comprehensive understanding of functions and performances enables a selection of appropriate alternatives to the existing design and can prevent defective design. A performance-based design quality management can ensure successful project completion. This study proposes a new model for design quality management in order to prevent defective design and to minimize design change. The new quality management model defines the requirement about function and performance based on technical characteristic, and assesses suitability for design alternatives. This study attempts to propose a quality matrix assessment method that can compare the alternative design and requirements defined with the new quality management model. This method can judge conformity and suitability of design quality in accordance with the requirements configured.

• 시스템엔지니어링학술지
• /
• 제2권2호
• /
• pp.33-38
• /
• 2006

It is well known that efficient management and thorough implementation of stakeholder requirements is vital for a successful development of a large-scale and complex system. Equally important is to make sure that all the requirements be correctly realized in the developed system. For the purpose, verification requirements are derived with traceability from the system requirements. This paper discusses a step by step process for constructing the requirements verification model which includes : 1) the schema modeling both requirements and their traceability; 2) the template documenting the verification requirements; 3) the verification model constructed from the schema; and 4) the test and evaluation plan that can be printed automatically.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2003년도 추계학술대회 논문집(III)
• /
• pp.265-271
• /
• 2003

System engineering is one of the most important research topics in railway system for developing new railway system or improving existed system. The system engineering methods have been applied to innovate railway system. The system engineering activities, which are requirement analysis, functional analysis, system synthesis and analysis, sometimes requires longtime and tiresome works to fix some ideas level into some concrete forms. The system engineering using objected oriented method relieves the hard works of system engineering and clarifies the system engineering objects from its ambiguities. In this paper, we presented requirement model, analysis model and design model using objected oriented approach and showed the consistency of the system engineering work with an example of Automatic Train Control System.

• 한국해양공학회지
• /
• 제14권2호
• /
• pp.84-88
• /
• 2000

The main objectives of this study are to compare the obtained mechanical characteristics of reduced-scale model materials with those of the prototype and to provide the information on the best selection of materials. Manufacturing techniques on the micro-concrete and reduced reinforcement are introduced. The test results of these materials are shown to be satisfactory with regard to the similitude requirement. The simple beam tests were performed to verify similitude in the bond behavior between micro-concrete and reduced reinforcement. Those results also prove that these manufacturing and experimental techniques are useful and reliable for reduced-scale model tests.

• Journal of information and communication convergence engineering
• /
• 제10권3호
• /
• pp.284-294
• /
• 2012

The quality of requirements is one of the key factors in the success of a project. One of the studies on successful projects is the reuse of requirements. However, the rate of failed projects is about 70%, and these projects often fail because of improper requirements. The current techniques for software reuse may not perform requirement engineering appropriately or develop requirements having good characteristics. In order to improve this situation, we propose a model for reusing requirements. We expect that our model will contribute toward increasing project productivity using requirement reuse in existing projects, and reusing requirements that have good quality.

• 한국군사과학기술학회지
• /
• 제20권5호
• /
• pp.688-699
• /
• 2017

Model-based test, a well-known method of the black box tests, is consisted of the following four steps : model construction using requirement, test case generation from the model, execution of a SUT (software under test) and detection failures. Among models constructed in the first step, state-based models such as UML standard State Machine are commonly used to design event-based embedded systems (e.g., weapon control systems). To generate test cases from state-based models in the next step, coverage-based techniques such as state coverage and transition coverage are used. Round-trip path coverage technique using W-Method, one of coverage-based techniques, is known as more effective method than others. However it has a limitation of low failure observability because the W-Method technique terminates a testing process when arrivals meet states already visited and it is hard to decide the current state is completely same or not with the previous in the case like the GUI environment. In other words, there can exist unrevealed faults. Therefore, this study suggests a Extended W-Method. The Extended W-Method extends the round-trip path to a final state to improve failure observability. In this paper, we compare effectiveness and efficiency with requirement-item-based technique, W-Method and our Extended W-Method. The result shows that our technique can detect five and two more faults respectively and has the performance of 28 % and 42 % higher failure detection probability than the requirement-item-based and W-Method techniques, respectively.

• 산업융합연구
• /
• 제18권2호
• /
• pp.95-100
• /
• 2020

소비자를 파악하기 위해 활용되고 있는 사용자 중심 데이터 중 사용자 리뷰 데이터는 다량으로 상세하게 소비자의 의견을 파악할 수 있다는 장점으로 인해 주목받고 있으며 많은 소비자들이 사용자 리뷰에 의존하고 신뢰하고 있다. 많은 어플리케이션 개발사들은 중요성을 인지하고 사용자 리뷰를 관찰 및 대응하고 있지만 체계적인 방법의 부재로 고객의 만족과 관계없이 시간과 비용을 투자하고 있다. 따라서, 본 논문에서는 주어진 시간과 비용에서 고객의 만족을 최대화 시킬 수 있도록 고객 만족과 서비스 품질을 다루는 카노 모델을 이용하여 어플리케이션 마켓에서 사용자 리뷰들을 선별하는 체계적인 방법을 제안하였다. 본 방법은 어플리케이션 마켓에서 사용자 리뷰들을 수집하고 요구사항을 도출하는 사용자 리뷰 수집 및 요구사항 도출 단계, 도출된 요구사항에 카노 모델을 적용하고 품질 유형으로 선별하는 카노 모델 적용 및 선별 단계, 그리고 관련자들이 모여 내부적인 측면에서 요구사항 검토 및 재정의하는 이해관계자들과 검토 및 재정의 단계로 구성되었다.

• Tuberculosis and Respiratory Diseases
• /
• 제82권2호
• /
• pp.166-172
• /
• 2019

Background: The purpose of this study was to determine whether components of the ProVent model can predict the high medical costs in Korean patients requiring at least 21 days of mechanical ventilation (prolonged mechanical ventilation [PMV]). Methods: Retrospective data from 302 patients (61.6% male; median age, 63.0 years) who had received PMV in the past 5 years were analyzed. To determine the relationship between medical cost per patient and components of the ProVent model, we collected the following data on day 21 of mechanical ventilation (MV): age, blood platelet count, requirement for hemodialysis, and requirement for vasopressors. Results: The mortality rate in the intensive care unit (ICU) was 31.5%. The average medical costs per patient during ICU and total hospital (ICU and general ward) stay were 35,105 and 41,110 US dollars (USD), respectively. The following components of the ProVent model were associated with higher medical costs during ICU stay: age <50 years (average 42,731 USD vs. 33,710 USD, p=0.001), thrombocytopenia on day 21 of MV (36,237 USD vs. 34,783 USD, p=0.009), and requirement for hemodialysis on day 21 of MV (57,864 USD vs. 33,509 USD, p<0.001). As the number of these three components increased, a positive correlation was found betweeen medical costs and ICU stay based on the Pearson's correlation coefficient (${\gamma}$) (${\gamma}=0.367$, p<0.001). Conclusion: The ProVent model can be used to predict high medical costs in PMV patients during ICU stay. The highest medical costs were for patients who required hemodialysis on day 21 of MV.

• 국제학술발표논문집
• /
• The 9th International Conference on Construction Engineering and Project Management
• /
• pp.304-311
• /
• 2022

Construction inspection is a crucial stage that ensures that all contractual requirements of a construction project are verified. The construction inspection capabilities among state highway agencies have been greatly affected due to budget reduction. As a result, efficient inspection practices such as risk-based inspection are required to optimize the use of limited resources without compromising inspection quality. Automated prioritization of textual requirements according to their criticality would be extremely helpful since contractual requirements are typically presented in an unstructured natural language in voluminous text documents. The current study introduces a novel model for predicting the risk level of requirements using machine learning (ML) algorithms. The ML algorithms tested in this study included naïve Bayes, support vector machines, logistic regression, and random forest. The training data includes sequences of requirement texts which were labeled with risk levels (such as very low, low, medium, high, very high) using the fuzzy logic systems. The fuzzy model treats the three risk factors (severity, probability, detectability) as fuzzy input variables, and implements the fuzzy inference rules to determine the labels of requirements. The performance of the model was examined on labeled dataset created by fuzzy inference rules and three different membership functions. The developed requirement risk prediction model yielded a precision, recall, and f-score of 78.18%, 77.75%, and 75.82%, respectively. The proposed model is expected to provide construction inspectors with a means for the automated prioritization of voluminous requirements by their importance, thus help to maximize the effectiveness of inspection activities under resource constraints.