• Title/Summary/Keyword: 복잡도 척도

Search Result 167, Processing Time 0.035 seconds

Software Development Effort Estimation Using Neural Network Model (신경망 기반의 소프트웨어 개발노력 추정모델 구축에 관한 연구)

  • Kim, Byung-Gwan;Baek, Seung
    • 한국IT서비스학회:학술대회논문집
    • /
    • 2005.05a
    • /
    • pp.372-380
    • /
    • 2005
  • 소프트웨어 개발노력 추정에 대한 연구는 소프트웨어가 복잡해지고 범위가 크게 증가함에 따라서 그 중은 지속적으로 부각되고 있다. 관련 프로젝트를 발주하는 업체나, 이를 수주하고 개발을 진행하는 업체에게 원가를 고려하는 측면에서 매우 중요한 부분을 차지하고 있다. 이러한 개발노력 추정을 위하여 다양한 접근 방식들이 고려되어지고 있는데, 그중에서 많이 활용되어지고 있는 방식은 소프트웨어 규모에 기반을 둔 LOC(Line Of Code) 기반 COCOMO (Constructive Cost Model) 모델이나 기능점수(Function Point)를 기반으로 한 회귀분석 모델, 인공지능(Artificial Intelligence)을 활용한 신경망(Neural Network) 모델, 사례분석기법 (CBR, Case Based Reasoning) 등이 있다. 이중에서 최근에 기능점수를 활용한 개발노력 추정에 관한 연구들이 활발히 진행되고 있으나 개발노력 추정에는 소프트웨어 규모의 척도인 기능점수 뿐만 아니라, 개발환경을 구성하는 여러 가지 측면에 대한 고려가 추가되어져야 한다. 이에 본 논문은 최신의 소프트웨어 개발 사례들에 대하여 기능점수 및 추가적인 개발환경 요소들을 면밀히 분석하고, 분석한 내용에 대해서 전문가들의 설문을 통한 빈도분석 및 로지스틱 회귀분석, 데이터마이닝 기법인 신경망 분석 등을 활용하여 개발노력 추정 모델을 구축함으로써, 소프트웨어 개발의 다양한 측면의 중요성을 강조하고, 정확한 추정의 방안을 제시 하고자 노력 하였다.

  • PDF

Analysis of the Factors Influencing Quality Assurance of Smart Learning using IPA (IPA를 이용한 스마트러닝 품질관리 요인분석)

  • Lee, Jun-Hee
    • Journal of The Korean Association of Information Education
    • /
    • v.16 no.1
    • /
    • pp.81-89
    • /
    • 2012
  • Quality in smart learning is composed of many factors, and it is more complicated than the traditional education. This study put emphasis on three aspects of the smart learning quality(contents, systems, services). This study depended mostly on literature review, supplemented by FGI(Focus Group Interview) for classification of the smart learning quality factors. On a 5 point Likert scale, the survey enables the users to rate the relative importance of factors, followed by another factor performance rating. The questionnaire were composed of 39 questions. 8 questionnaire sheets were excluded which were not properly filled in or unsuitable for the analysis, and therefore, a total of 112 questionnaires were used for the final analysis. Collected data was statistically analyzed using the SPSS 18.0 for Windows statistical package. Importance-performance analysis(IPA; gap between importance and performance) is used for the empirical test.

  • PDF

A Survey of DEA Applications in Measuring the Efficiency Performance of Construction Organizations (비모수 분석방법에 의한 국내 건설조직 성과 측정 방향에 관한 연구 - DEA를 이용한 국내 연구 문헌 고찰을 기반으로 -)

  • Lee, Yoon-Sun
    • Korean Journal of Construction Engineering and Management
    • /
    • v.15 no.5
    • /
    • pp.103-114
    • /
    • 2014
  • Data envelopment analysis (DEA) measures the relative efficiency of decision making units (DMUs) with multiple performance factors that are grouped into outputs and inputs. DEA has proven to be superior to simple aggregation of performance measures, and is also useful for evaluating the performance of construction companies for comparison with competitor performance. The purpose of this study was to survey literatures on the application of DEA methodology and to propose a methodological scheme to measure the performance of construction organizations. Articles on previous studies were surveyed and examined as part of a comprehensive review. The survey revealed that the application of DEA in the construction industry was li mited. Further, the survey indicated that there is a need for the development of a methodological framework on the special goals and subjects of performance measurement, methods of data structure and collection, selection of appropriate DEA models, analysis of results, and post-test. Based on the survey, this study identified and discussed the types of major issues and topics for future studies from a methodological perspective, which could be helpful to researchers interested in using DEA to study performance issues in construction organizations.

A Study on the Compression Moldability for Continuous Fiber-Reinforced Polymeric Composites -Part II : Effect of Correlation Coefficient on Compression Moldability- (연속섬유강화 플라스틱 복합재료의 압축성형성에 관한 연구 -제II보 : 압축성형성에 미치는 상관계수의 영향-)

  • 오영준;김이곤
    • Composites Research
    • /
    • v.13 no.1
    • /
    • pp.1-10
    • /
    • 2000
  • During the compression molding process of the continuous fiber-reinforced polymeric composites, two main problems such as fiber-matrix separation and fiber orientation are produced by the difference of flow velocity. Molded parts are lead to be nonhomogeneous and anisotropic. As the mechanical property of the products are dependent on the separation and orientation, it is important to research the fiber mat structure and molding condition. If the fiber mat structure is changed by the increment of needling, the separation decreases and after compression molding the orientation is easily aligned. As it were, the compression moldability is good. But the defects as tears, thin thickness are produced in the products. Therefore, it is important to clarify the moldability in relation to the usage of products and the expenses of produce on the actual process. Therefore we must make the measurement methods that can define the moldability of products. In this research, the effects of the fiber mat structure(NP = 0, 5, 10, 25, 50 punches/$cm^2$) and the mold geometry($r_p$ = 1, 25, 50 mm) on the moldability of products were discussed. We investigated the case of one-dimensional flow in order to obtain the degree of nonhomogeneity and the fiber orientation function. In result, we could gain the correlation coefficient of the continuous fiber-reinforced polymeric composites. Also we experimented on the cup-type compression molding which was appeared the wrinkle on the flange part by the complex stress condition in order to gain the degree of nonhomogeneity and area ratio. In result, the moldability of products was expressed as the correlation coefficient and area ratio.

  • PDF

Study on images of technical high school students toward 'engineering' through semantic differential method (의미분별법에 의한 공업계 고등학생의 '공학'에 대한 이미지 연구)

  • Kim, Ki-Soo;Lee, Chang-Hoon
    • 대한공업교육학회지
    • /
    • v.35 no.2
    • /
    • pp.25-42
    • /
    • 2010
  • This research aims to understand how students of technical high schools view 'engineering' as well as to identify the main elements that contribute to the perception on 'engineering.' The research targets are 695 senior students of technical high schools nationwide. The researcher developed the measuring tool for the experiment by referencing the adjective value criteria utilized in the semantic difference method developed by Osgood (1957). There were a grand total of 30 criteria following the preliminary studies. The results of the research are as follows. Firstly, the average value of the overall perception of technical high school students on 'engineering' is 4.27 points. This value just exceeds the standard (4 points). Secondly, when examining the general tendency it can be noticed that there is a sense of stigma that although 'engineering' is significant and valuable it is a field that is overly difficult, complex and even dangerous. Thirdly, 6 main elements that influence the perception on 'engineering' were extracted as results of the factor analysis. The first element is practicality; the second element is emotions; the third element is aesthetics; the fourth is simplicity; the fifth is responsibility; and finally the sixth element is assertiveness. Fourthly, when comparing the average values of the perception on 'engineering' by region, it was seen that there existed a difference on the perception towards 'engineering' based on differing regions.

  • PDF

A Study of Coastal Passenger Ship Routes through Social Network Analysis Method (사회 네트워크 분석 방법을 활용한 국내 여객항로 분석 연구)

  • Ko, Jae-Woo;Cho, Chang-Mook;Kim, Sung-Ho;Jung, Wan-Hee
    • Journal of Navigation and Port Research
    • /
    • v.39 no.3
    • /
    • pp.217-222
    • /
    • 2015
  • In this research, sea routes of domestic coaster liners between 2005 and 2013 were studied via social network analysis. Study of the sea routes revealed that they follow power-law in a scale-free form, a characteristic found often in social network. We have looked into centrality, which is a major standard in the field of social network analysis. We have also analyzed the annual changing trend in the centrality of the connectivity, examined the effect of quantity through the comparison with the original quantitative analysis method, and lastly, verified the relationship between the centrality of connectivity and mediation. Then, we were able to identify ports according to priority using these factors. This research assumed and interpreted the coaster liners route as a single network and suggested useful results. Based on these results, directing of development of domestic coaster liners route development and other factors will be achieved more smoothly. And if we utilize social network analysis method in other various fields - for example, the centrality of airport and the diplomatic realations analysis of the neighboring country - we will be able to effectively analyze events in diverse perspectives.

Fauna Diversity at the Deukjin River, Hapcheon-gun, Korea (합천군 덕진천의 동물상에 대한 다양성)

  • Huh, Man Kyu
    • Journal of Life Science
    • /
    • v.28 no.1
    • /
    • pp.105-109
    • /
    • 2018
  • Biodiversity (or biological diversity) is defined as the variability of living organisms, the "diversity of life on Earth," and the complex relationships that make up ecosystems. This study aimed to investigate the spatial and temporal patterns in animal species composition and diversity at the Deukjin River, located in Hapcheon Province, Korea. The fauna community at the Deukjin River during 2016 season was identified with a total of 55 taxa, representing the following six classes: Mammalia (mammals), Actinopterygii (bony fish), Chondrichthyes (cartilaginous fish), Aves (birds), Amphibia (amphibians), Reptilia (reptiles), and invertebrates. The Berger - Parker index (BPI) for mammals varied from 0.233 (Station A) to 0.333 (Station D). The Shannon - Weaver index (H') and two diversity indexes (N1 and N2) for mammals and birds in the upper region were higher than those in the lower region. The values of ${\beta}$-diversity for animals varied from 0.229 for fish to 0.339 for invertebrates. The richness indices for animal taxa also varied among the stations and seasons. Station A showed considerably high richness in mammals, birds, and reptiles/amphibians. Although the richness indices (R1 and R2) for six animal kingdoms during the seasons were different from each other, the difference was not significant (p<0.05). The evenness indices for five animal kingdoms were different from each other, but again, the difference was not significant (p<0.05).

Classification of Negative Emotions based on Arousal Score and Physiological Signals using Neural Network (신경망을 이용한 다중 심리-생체 정보 기반의 부정 감성 분류)

  • Kim, Ahyoung;Jang, Eun-Hye;Sohn, Jin-Hun
    • Science of Emotion and Sensibility
    • /
    • v.21 no.1
    • /
    • pp.177-186
    • /
    • 2018
  • The mechanism of emotion is complex and influenced by a variety of factors, so that it is crucial to analyze emotion in broad and diversified perspectives. In this study, we classified neutral and negative emotions(sadness, fear, surprise) using arousal evaluation, which is one of the psychological evaluation scales, as well as physiological signals. We have not only revealed the difference between physiological signals coupled to the emotions, but also assessed how accurate these emotions can be classified by our emotional recognizer based on neural network algorithm. A total of 146 participants(mean age $20.1{\pm}4.0$, male 41%) were emotionally stimulated while their physiological signals of the electrocardiogram, blood flow, and dermal activity were recorded. In addition, the participants evaluated their psychological states on the emotional rating scale in response to the emotional stimuli. Heart rate(HR), standard deviation(SDNN), blood flow(BVP), pulse wave transmission time(PTT), skin conduction level(SCL) and skin conduction response(SCR) were calculated before and after the emotional stimulation. As a result, the difference between physiological responses was verified corresponding to the emotions, and the highest emotion classification performance of 86.9% was obtained using the combined analysis of arousal and physiological features. This study suggests that negative emotion can be categorized by psychological and physiological evaluation along with the application of machine learning algorithm, which can contribute to the science and technology of detecting human emotion.

Analysis of Network Dynamics from Annals of the Chosun Dynasty (조선왕조실록 네트워크의 동적 변화 분석)

  • Kim, Hak Yong;Kim, Hak Bong
    • The Journal of the Korea Contents Association
    • /
    • v.14 no.9
    • /
    • pp.529-537
    • /
    • 2014
  • To establish a foundation to objectively interpret Chosun history, we construct people network of the Chosun dynasty. The network shows scale free network properties as if most social networks do. The people network is composed of 1,379 nodes and 3,874 links and its diameter is 14. To analysis of the network dynamics, whole network that is composed of 27 king networks were constructed by adding the first king, Taejo network to the second king, Jeongjong network and then continuously adding the next king networks. Interestingly, betweenness and closeness centralities were gradually decreased but stress centrality was drastically increased. These results indicate that information flow is gradually slowing and hub node position is more centrally oriented as growing the network. To elucidate key persons from the network, k-core and MCODE algorithms that can extract core or module structures from whole network were employed. It is a possible to obtain new insight and hidden information by analyzing network dynamics. Due to lack of the dynamic interacting data, there is a limit for network dynamic research. In spite of using concise data, this research provides us a possibility that annals of the Chosun dynasty are very useful historical data for analyzing network dynamics.

Optimal Design of Generalized Process-storage Network Applicable To Polymer Processes (고분자 공정에 적용할 수 있는 일반화된 공정-저장조 망구조 최적설계)

  • Yi, Gyeongbeom;Lee, Euy-Soo
    • Korean Chemical Engineering Research
    • /
    • v.45 no.3
    • /
    • pp.249-257
    • /
    • 2007
  • The periodic square wave (PSW) model was successfully applied to the optimal design of a batch-storage network. The network structure can cover any type of batch production, distribution and inventory system, including recycle streams. Here we extend the coverage of the PSW model to multitasking semi-continuous processes as well as pure continuous and batch processes. In previous solutions obtained using the PSW model, the feedstock composition and product yield were treated as known constants. This constraint is relaxed in the present work, which treats the feedstock composition and product yield as free variables to be optimized. This modification makes it possible to deal with the pooling problem commonly encountered in oil refinery processes. Despite the greater complexity that arises when the feedstock composition and product yield are free variables, the PSW model still gives analytic lot sizing equations. The ability of the proposed method to determine the optimal plant design is demonstrated through the example of a high density polyethylene (HDPE) plant. Based on the analytical optimality results, we propose a practical process optimality measure that can be used for any kind of process. This measure facilitates direct comparison of the performance of multiple processes, and hence is a useful tool for diagnosing the status of process systems. The result that the cost of a process is proportional to the square root of average flow rate is similar to the well-known six-tenths factor rule in plant design.