• Journal of Information Processing Systems
• /
• v.14 no.3
• /
• pp.751-770
• /
• 2018

Web applications are indispensable in the software industry and continuously evolve either meeting a newer criteria and/or including new functionalities. However, despite assuring quality via testing, what hinders a straightforward development is the presence of defects. Several factors contribute to defects and are often minimized at high expense in terms of man-hours. Thus, detection of fault proneness in early phases of software development is important. Therefore, a fault prediction model for identifying fault-prone classes in a web application is highly desired. In this work, we compare 14 machine learning techniques to analyse the relationship between object oriented metrics and fault prediction in web applications. The study is carried out using various releases of Apache Click and Apache Rave datasets. En-route to the predictive analysis, the input basis set for each release is first optimized using filter based correlation feature selection (CFS) method. It is found that the LCOM3, WMC, NPM and DAM metrics are the most significant predictors. The statistical analysis of these metrics also finds good conformity with the CFS evaluation and affirms the role of these metrics in the defect prediction of web applications. The overall predictive ability of different fault prediction models is first ranked using Friedman technique and then statistically compared using Nemenyi post-hoc analysis. The results not only upholds the predictive capability of machine learning models for faulty classes using web applications, but also finds that ensemble algorithms are most appropriate for defect prediction in Apache datasets. Further, we also derive a consensus between the metrics selected by the CFS technique and the statistical analysis of the datasets.

• Spatial Information Research
• /
• v.3 no.2
• /
• pp.191-204
• /
• 1995

The data model is a system model which abstracts the spatial and nonspatial fea¬tures of the real world. A system defines through its data model a framework for the inner rep¬resentation of and connections with the outside world. The spatial query language is one of the most efficent framework for defining connection with outside world in the GIS. Existing GIS uses a spatial data model based on relational data model. Therefore, it has some difficulties in data abstraction and representing complex objects through inheritance. In this paper, we pro-pose an object oriented data model-Topological Object Model(TOM). TOM combines object model in ODMG and the planer topological object. Based on this model, we present an object-oriented spatial query language-OQL/Geo. OQL/Geo extends OQL in ODMG and represents TOM effectively. It also provides several operators such as geometric, topological and visible ope-rators. Moreover, it represents with diverse flexivility the request for complex spatial analysis and presentation of query results.

• Journal of Korea Multimedia Society
• /
• v.19 no.5
• /
• pp.826-836
• /
• 2016

Mastering a musical instrument for an unskilled beginning learner is not an easy task. It requires playing every note correctly and maintaining the tempo accurately. Any music comes in two forms, a music score and it rendition into an audio music. The proposed method of assisting beginning music players in both aspects employs two popular pattern recognition methods for audio-visual analysis; they are support vector machine (SVM) for music score recognition and hidden Markov model (HMM) for audio music performance tracking. With proper synchronization of the two results, the proposed music learning assistant system can give useful feedback to self-training beginners.

• Proceedings of the Korean Institute of Interior Design Conference
• /
• 2007.05a
• /
• pp.188-192
• /
• 2007

The best feature of Hotels is they have 24 business hours providing various services. But Interior designers can't change space to answer every demands, it's mood can be changed by lighting design. Especially guest rooms have complex functions like space with habitability and office use. Well planed lighting design in guest rooms is an essential element to help creating interior space in designer's intention with cozy feeling. Here this study is purposed to present a desirable lighting environment satisfying future-oriented function and design throughout the latest examples' analysis of guest room carrying out various functions in hotels.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2007.05a
• /
• pp.275-278
• /
• 2007

모바일 콘텐츠 시스템을 편리하고 빠르게 생산하기 위해서는 프로덕트라인의 적용이 필요하며 공통성과 가변성을 식별하는 도메인 분석은 프로덕트라인 적용의 핵심이다. 그러나 현재 모바일 콘텐츠 시스템의 도메인 분석은 휘처 중심의 도메인 분석 방법(feature-oriented approach)을 이용하고 있어 성숙되지 않은 도메인이나 새로운 도메인의 경우 분석의 결과가 프로덕트라인 방식으로 생산하고자 했던 본래의 목표를 만족시키지 못하고 분석의 단계적인 절차를 제공하지 못한다. 따라서 본 논문에서는 기존에 제시된 목표, 시나리오, 휘처 기반의 도메인 분석방법을 적용하는 방안을 제시하여 이러한 문제점을 해결한다.

• Proceeding of Spring/Autumn Annual Conference of KHA
• /
• 2004.11a
• /
• pp.399-403
• /
• 2004

As the housing market is changing, there's a trend that the brand marketing through the TV-CM is increasing. Thus, this study purposes to identify the characteristics and the limit of the marketing on the housing market by analyzing the elements of marketing on TV-CM in the 2000's and comparing the representative business enterprises with each other. In the case of television advertisement, it is dominated by the emotional advertisement which is sensitive and image-oriented than the rational one. In addition, 1 pointed out some problems resulted from the transitional feature of the television advertisement and the gap between the real apartment and its brand image appeared on the advertisement, then I will present corresponding solutions.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.22 no.3
• /
• pp.50-59
• /
• 2014

This paper proposes a method of localization of vehicle especially the horizontal position for the purpose of recognizing the driving lane. Through tracking road signs, the relative position between the vehicle and the sign is calculated and the absolute position is obtained using the known information from the regulation for installation. The proposed method uses Kalman filter for road sign tracking and analyzes the motion using the pinhole camera model. In order to classify the road sign, ORB(Oriented fast and Rotated BRIEF) features from the input image and DB are matched. From the absolute position of the vehicle, the driving lane is recognized. The Experiments are performed on videos from the highway driving and the results shows that the proposed method is able to compensate the common GPS localization errors.

• Journal of the Optical Society of Korea
• /
• v.15 no.2
• /
• pp.152-154
• /
• 2011

We propose a novel method which detects convex and concave corners using radial projection. The sum of two neighbors' differences at the local maxima or minima of the radial projection is compared with the angle threshold for detecting corners. In addition, the use of oriented bounding box trees and partial circles makes it possible to detect the corners of complex shapes. The experimental results show that the proposed method can separately detect the convex and concave corners, and that this method is scale invariant.

• Proceedings of the Korean Information Science Society Conference
• /
• 2007.10b
• /
• pp.44-49
• /
• 2007

새로운 패러다임인 유비쿼터스에 대한 개념이나 적용 기술들에 대해서는 많은 연구가 진행되고 있으나, 이를 고려한 도메인 분석 기법에 대한 연구는 많지 않다. 또한, 범용적으로 사용되고 있는 휘처 기반의 도메인 분석 기법은 공간 재설계나 상황 인지 등의 유비쿼터스 컴퓨팅의 대표적인 특징을 수용하는 데에는 한계를 가지고 있다. 본 논문에서는 #공간 재설계#나 #상황 인지#에 초점을 두고 휘처 개발 방법을 통해 유비쿼터스 컴퓨팅 서비스의 도메인 분석 방법을 제시한다. 유비쿼터스 환경을 위한 정형화된 유비쿼터스 휘처 메타모델을 제시하고, 유비쿼터스 컴퓨팅 서비스를 휘처로 표현함으로써 기존의 휘처 모델링 방법에 의한 유비쿼터스 컴퓨팅 서비스의 모델링 접근을 가능하게 한다. 이로써 유비쿼터스 서비스 도메인 모델의 효과적인 분석을 가능하게 하고 정형화된 휘처 모델을 통한 기존 휘처 모델의 제품 계열 개발에 따른 재사용성을 증진시킬 수 있다.

• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.464-471
• /
• 2009

Robot and application of IT skill of construction industry are slow comparatively than another thing industry by the feature. This research proposes progress management and real time information gathering through construction automation and RFID focused on steel structure construction. Building for RTPM system, must consider various variables and surrounding situation in construction field and it is the most important and difficult matter that draw right requirement and grasp relation between this requirements to accomplish one suitable task considering these environment. Therefore, in this study analyzes requirement and target for RTPM system based on scenario that is easy to draw requirement and apply this to use case model. Presented method suggests that represent relation between goals and way that refines goal systematically from requirement of RTPM system. And it could express for visualization through the Way that attaches nonfunctional elements of system with system internal goal.