• Proceedings of the KSR Conference
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• 2008.06a
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• pp.603-609
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• 2008

Nowadays, double-system of TFM(Track-side Functional Modules) developed instead of single-system in use of high speed line to acquisition more availability. Safety Law for Railroad recommend to quality certification of development and general railway machines. It is important to select metrics which form the bases for testing software products. A number of package software development part do not open source cords, so testing external characteristic vectors having relationship with metrics. In this paper, review the process for the TFM Point Modules, Universal Modules and Switchers, think about the test methode of circuit boards output performance by using TFM tester and Simulators.

• The Transactions of the Korea Information Processing Society
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• v.4 no.2
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• pp.395-400
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• 1997

An important quality characteristic of a software reliability.Software reliablilty growh models prvied the tools to evluate and moniter the reliabolty growth behavior of the sofwate during the testing phase Therefore failure data collected during the testing phase should be continmuosly analyzed on the basis of some selected software reliability growth models.For the cases where nonhomogeneous Poisson proxess models are the candiate models,we suggest Poisson regression model, which expresses the relationship between the expeted and actual failures counts in disjonint time intervals,for analyzing the failure count data.The weighted lest squares method is then used to-estimate the paramethers in the parameters in the model:The resulting estimators are equivalent to the maximum likelihood estimators. The method is illustrated by analyzing the failutr count data gathered from a large- scale switchong system.

• Journal of the Korea Society of Computer and Information
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• v.14 no.5
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• pp.167-174
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• 2009

The meaning of Database in order to manage the data which is huge in the meeting of the record which logically had become the fire tube or file 'efficiently' is widely used from the place which controls a many double meaning data. Like this data base it creates, it manages, the programs which send an answer back according to demand of the user as DBMS it calls. Like this it will be able to grasp the quality level of the data base software product which is important index from the research which index it buys it defined. Also, in order to produce the result of index it selects the collection item which is necessary and collection and analysis it leads and what kind of defect types occur substantially mainly, and it confirmed and the test and evaluation model in about data base software and a tentative instance it developed it analyzed.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.147-153
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• 2023

As it spreads to all industries of artificial intelligence technology, AIaaS equipped with artificial intelligence services is emerging. In particular, non-IT companies are suffering from the absence of software experts, difficulties in training big data models, and difficulties in collecting and analyzing various types of data. AIaaS makes it easier and more economical for users to build a system by providing various IT resources necessary for artificial intelligence software development as well as functions necessary for artificial intelligence software in the form of a service. Therefore, the supply and demand for such cloud-based AIaaS services will increase rapidly. However, the quality of services provided by AIaaS becomes an important factor in what is required as the supply and demand for AIaaS increases. However, research on a comprehensive and practical quality evaluation metric to measure this is currently insufficient. Therefore, in this paper, we develop and propose a usability, replacement, scalability, and publicity metric, which are the four metrics necessary for measuring reusability, based on implementation, convenience, efficiency, and accessibility, which are characteristics of AIaaS, for reusability evaluation among the service quality measurement factors of AIaaS. The proposed metrics can be used as a tool to predict how much services provided by AIaaS can be reused for potential users in the future.

• Journal of the Korean Society for Nondestructive Testing
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• v.17 no.2
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• pp.108-113
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• 1997

Ultrasonic testing is one of the most widely used method of nondestructive testing for pre-service inspection(PSI) & in-service inspection(ISI) in structures of bridges, power plants, chemical plants & heavy industrial fields. It is very important to estimate safety, life, quality of structures. Also, a lot of research for quantities evaluation & analyses inspection data is proceeding. But traditional portable ultrasonic flaw detector had been following disadvantages. 1) Analog ultrasonic flaw detector decreased credibility of ultrasonic test, because it is impossible for saving data & digital signal processing. 2) Stand-alone digital ultrasonic flaw detector cannot effectively evaluate received signals because of lack of its storage memory. To overcome this shortcoming, we develop the computer based ultrasonic flaw detector for nondestructive testing. It can store the received signal and effectively evaluate the signal, and then enhance the reliability of the testing results.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.627_628
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• 2009

도어락 스위치(Door-lock switch)는 드럼세탁기, 식기 세척기등 회전이나 열이 발생되어 작동 할 때 임의로 열지 못하도록 하는 가전제품에 쓰이는 도어안전잠금장치로 드럼세탁기에서는 없어서는 안 되는 중요한 부품 중의 하나이다. 드럼 세탁기 도어는 소비자가 사용 할 때 항상 느낌을 가지는 부분으로 안전성과 동시에 감성이 뒤따르는 부품이기도 하다. 본 논문은 드럼세탁기의 도어에 감성과 관련된 요소들을 조사하였으며, 도어락 스위치의 기구적인 구조들을 파악한 뒤 드럼세탁기에 장착하였을 때 열림력, 닫힘력을 측정할 수 있는 지그와 소프트웨어를 제작하여 측정한 힘의 그래프를 분석하고 사용자에 의해 평가한 후, 드럼세탁기 도어락 스위치의 구조에 따른 감성에 차이점을 찾아보고 최적의 설계를 위한 요소를 제시하였다.

• Explosives and Blasting
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• v.19 no.2
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• pp.5-18
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• 2001

채석, 광물채광 등의 발파에서 생성된 파쇄 암석편들에 대한 정확한 파쇄도의 측정은 발파효율성 및 경제성을 평가하기 위한 수단으로 사용될 수 있다. 발파현장에서 파쇄도의 측정은 파쇄암석의 크기를 대상으로 이루어지며, 이러한 측정의 궁극적인 목표는 파쇄도에 대한 정확한 측정과 분석을 통하여 발파를 최적화시킴으로써 과파쇄에 의한 화약의 낭비, 과대한 암괴로 인한 운반경비의 증가, 분할을 위한 2차 발파나 추가파쇄를 위한 경비증가 등을 줄일 수 있다. 또한 선광 및 파쇄장비들의 과대한 마모방지와 품질의 균질성 확보를 위한 모니터링의 수단으로 사용될 수도 있다. 최근 파쇄도측정에 많이 사용되고 있는 기술중의 하나가 영상처리 시스템으로, 본 논문에서는 촬영조건 및 분석대상물 등의 변화에 따른 이 영상처리기법의 문제에 대한 언급보다는 영상처리기법에 대한 이해를 돕기 위해 이 기법에 대한 설명과 상용 소프트웨어를 이용한 모델시험 및 채석현장에서 실시된 발파후의 파쇄암석들에 대한 파쇄도 분석에서의 문제점들에 대하여 언급하고자 한다.

• Journal of Service Research and Studies
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• v.13 no.4
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• pp.191-205
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• 2023

Artificial Intelligence (AI), especially in the domain of text-generative services, has witnessed a significant surge, with forecasts indicating the AI-as-a-Service (AIaaS) market reaching a valuation of $55.0 Billion by 2028. This research set out to explore the quality dimensions characterizing synthetic text media software, with a focus on four key players in the industry: ChatGPT, Writesonic, Jasper, and Anyword. Drawing from a comprehensive dataset of over 4,000 reviews sourced from a software evaluation platform, the study employed the Latent Dirichlet Allocation (LDA) topic modeling technique using the Gensim library. This process resulted the data into 11 distinct topics. Subsequent analysis involved comparing these topics against established AI service quality dimensions, specifically AICSQ and AISAQUAL. Notably, the reviews predominantly emphasized dimensions like availability and efficiency, while others, such as anthropomorphism, which have been underscored in prior literature, were absent. This observation is attributed to the inherent nature of the reviews of AI services examined, which lean more towards semantic understanding rather than direct user interaction. The study acknowledges inherent limitations, mainly potential biases stemming from the singular review source and the specific nature of the reviewer demographic. Possible future research includes gauging the real-world implications of these quality dimensions on user satisfaction and to discuss deeper into how individual dimensions might impact overall ratings.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.5
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• pp.847-859
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• 2023

With the recent increase in damage caused by malcious codes using software vulnerabilities in Korea, it is essential to install anti-virus to prevent malicious codes, However, it is not easy for general users to know which anti-virus product has good performance or whether it is suitable for their environment. There are many institutions that provide information on anti-virus performance outside of korea, and these institutions have established their own test environments and test evaluation items, but they do not disclose detailed test environment information, detailed test evaluation items, and results. In addition, existing quality evaluation studies are not suitable for the evaluating the latest anti-virus products because there are many evaluation criteria that do not meet anti-virus product evaluation. Therefore, this paper establishes detailed anti-virus evaluation metrics suitable for the latest anti-virus evaluation and applies them to 9 domestic and foreign anti-virus products to verify the functions and performance of anti-viruses.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.7A
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• pp.649-658
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• 2006

Recently, Software Development was applied to new-approach methods as a various form : client-server system and web-programing, object-orient concept, distributed development with a network environments. On the other hand, it be concerned about the distributed development technology and increasing of object-oriented methodology. These technology is spread out the software quality and improve of software production, reduction of the software develop working. Futures, we considered about the distributed software development technique with a many workstation. In this paper, we discussed optimal release problem based on a stochastic differential equation model for the distributed Software development environments. In the past, the software reliability applied to quality a rough guess with a software development process and approach by the estimation of reliability for a test progress. But, in this paper, we decided to optimal release times two method: first, SRGM with an error counting model in fault detection phase by NHPP. Second, fault detection is change of continuous random variable by SDE(stochastic differential equation). Here, we decide to optimal release time as a minimum cost form the detected failure data and debugging fault data during the system test phase and operational phase. Especially, we discussed to limitation of reliability considering of total software cost probability distribution.