• 제목/요약/키워드: estimation software

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Zoom Motion Estimation Method for Depth Video Coding (깊이 영상 부호화에서 신축 움직임 추정 방법)

  • Lee, Dong-Seok;Kwon, Soon-Kak
    • Journal of Korea Multimedia Society
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    • v.20 no.11
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    • pp.1711-1719
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    • 2017
  • In this paper, we propose a method of the zoom motion estimation for the depth video coding. The proposed method calculates the zoom ratio using the average of the depth values in the current block and in the reference block. It resizes the reference block by the zoom ratio and interpolates the reference block to size of the current block. It compares the current block with the reference block that is obtained by subtracting the average of pixels from the current block to the reference block in order to find the reference block that is the best closest one to the current block. The results of the simulation for the proposed method show that the motion estimation errors are significantly reduced.

A Study on the Derivation and Sensitivity Analysis of the Adjustment Factor in the Software Cost Estimation Guidelines (소프트웨어 사업대가기준 보정계수의 유도 및 민감도 분석)

  • Byun, Boon-Hee;Kwon, Ki-Tae
    • The KIPS Transactions:PartD
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    • v.15D no.1
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    • pp.61-72
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    • 2008
  • One of the most significant tasks of software development project is to know how much it will be the software development cost in the early stage of software development cycle. The software development environment and technology are changing very rapidly. For accuracy, we should apply those to the software cost estimation. And it is important that we select the suitable adjustment factor and the value of a suitable adjustment factor. For that, this paper have applied the method of AHP. And we have also analyzed the sensitivity of the adjustment factor which is influenced by decision metrics. In conclusion, the value of the application type adjustment factor is responded more sensitively to the data complexity and the control complexity than processing complexity. And the value of the language adjustment factor is responded more sensitively to the supplying manpower and the time of the coding than the time of the debugging. In the future, we will research the selection of an additional adjustment factor and a suitable value of the adjustment factor which are influenced by the environment and the technology of the domestic software development. And then, in the language adjustment factor, we will try to calculate the value about the individual programming language.

Automatic Project Planning Technique and Tool Based on Software Industry Requirements (소프트웨어 산업체 요구사항을 반영한 자동화된 프로젝트 계획 생성 지원 기법 및 도구)

  • Park, Jihun;Shin, Donghwan;Hong, Gwangui;Seo, Dongwon;Hwa, Jimin;Bae, Gigon;Seo, Yeong-Seok;Bae, Doo-Hwan
    • Journal of Software Engineering Society
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    • v.26 no.4
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    • pp.77-92
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    • 2013
  • To plan a software project, the manager (1)make a work breakdown structure (WBS), (2) estimate efforts for each task, (3) assign employee to each task, and (4) estimate overall schedule. When software project becomes complicated, the possible combination of WBS, effort, and employee assignments dramatically becomes larger. Software planning tool can help software project managers to deal with this complexity. In this research, we discuss with a group of experts who work in software industry, to elicit practical requirements that should be considered in the software planning technique. Considering these requirements, we develop a software project planning tool APP (Automatic Project Planner) which provide effort estimation based on historical knowledge data and automatic human resource allocation. Our technique can be the basis of reasonable and practical software project planing.

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A Software Size Estimation Using Weighted FFP (가중치를 적용한 FFP 소프트웨어 규모 측정)

  • Park Juseok
    • Journal of Internet Computing and Services
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    • v.6 no.2
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    • pp.37-47
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    • 2005
  • Most of the methods of estimating the size of software are based on the functions provided to costumers and in the process of granting the score to each function we consider the complexity during the process. The FFP technique has advantages applied to vast areas like data management. real-time system, algorithmic software, etc, but on the other hand, has disadvantage on estimating sizes for weights for necessary function elements. This paper proposes the estimating method for software size by considering the complexity of each function elements in full function point calculation method applied to a new developed project and maintenance projects. For this, based on function point by using surveyed data proved the validity of proposed method. The valid result. was that the function elements, the attributes used in size estimation of software, est mated better estimated sizes than in the case of other weights being applied.

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A Software Development of Energy Consumption for HVAC System of Building (건물에너지 소비량 해석 소프트웨어 개발)

  • Kim B. H;Jo S. B;Kim J. P
    • The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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    • v.19 no.2
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    • pp.67-81
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    • 1990
  • The objective of this is to develop a practical software package to calculate annual energy consumption of HVAC (Heating Ventilating, and Air Conditioning) System in a building. It can quickly estimate loads and energy consumption, and have a function of economic analysis through the estimation of operating cost. Techniques of save energy consumption used in a building are necessary from the stage of design process to operation. The single most significant task is on HVAC Systems. Their installation costs, and related operating costs have enormous influence upon initial and maintenance costs. HVAC designers and engineers now have a wide variety of software choices available, but only a few of them have been developed in this country and no source program has been disclosed. Neither load culculation nor estimation of energy consumption is systematically made by the domestic HVAC design firms. Even though computer improved over the years with a trend of large scale load calculation and system selection through simulaion, the utilization of software nowadays does not make good progress due to lack of working environment. Therefore, it is necessary to develop a practical software package with which load calculation can be made with ease and kind manner. This study concerns the development of a software package which makes it possible to design HVAC system and save energy consumption in operation. The algorithm used in this program is a Modified Bin Method widely known as a simplified energy analysis means.

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Design of a Zone-based Population Estimation System using Deep Learning Image Recognition for Digital Twin (딥러닝 영상인식을 이용한 디지털 트윈 기반 구역별 유동 인구 추정 시스템 설계)

  • Ok-Kyoon Ha;Jin-chan Kim;Yong-jin Kim;Yong-hun Ok;Dong-hun Na;Uk-ryeol Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.41-42
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    • 2023
  • 인구 밀집도가 높은 곳에서의 안전사고 대응과 이에 대한 예방을 위한 기술 및 해결 방안의 필요성이 증가하고 있다. 이를 위한 기존의 기술들은 지능형 CCTV 기반의 경고 알림을 울리는 방식과 스마트폰의 신호를 수집하여 유동인구를 측정하는 기술 등이 사용되고 있다. 그러나 군중 밀집 사고의 원인인 병목현상과 군중 난류 현상까지 대응하지는 못하는 문제점이 있다. 본 논문에서는 CCTV로부터 수집된 영상 정보만으로 딥러닝 영상인식 기술을 이용하여 병목현상이 일어나기 쉬운 출입구의 유·출입 인구 카운팅과 광장의 밀집도 분석을 디지털 트윈 기반으로 실시하고 이를 통해 위험 상황 발생 시 출입구의 통제와 대피를 위한 안내가 가능한 시스템을 제시한다. 제시하는 시스템은 유동 인구가 많고 인구의 급격한 밀집으로 인해 발생할 수 있는 안전사고의 예방과 이를 해결하기 위한 통제 및 안내를 위한 대처 방법으로 활용할 수 있다.

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Robust Deep Age Estimation Method Using Artificially Generated Image Set

  • Jang, Jaeyoon;Jeon, Seung-Hyuk;Kim, Jaehong;Yoon, Hosub
    • ETRI Journal
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    • v.39 no.5
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    • pp.643-651
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    • 2017
  • Human age estimation is one of the key factors in the field of Human-Robot Interaction/Human-Computer Interaction (HRI/HCI). Owing to the development of deep-learning technologies, age recognition has recently been attempted. In general, however, deep learning techniques require a large-scale database, and for age learning with variations, a conventional database is insufficient. For this reason, we propose an age estimation method using artificially generated data. Image data are artificially generated through 3D information, thus solving the problem of shortage of training data, and helping with the training of the deep-learning technique. Augmentation using 3D has advantages over 2D because it creates new images with more information. We use a deep architecture as a pre-trained model, and improve the estimation capacity using artificially augmented training images. The deep architecture can outperform traditional estimation methods, and the improved method showed increased reliability. We have achieved state-of-the-art performance using the proposed method in the Morph-II dataset and have proven that the proposed method can be used effectively using the Adience dataset.

An Estimation Process of Effort and Cost in Security Evaluation of Information Technology Security Systems by utilizing Evaluation Work Break-down Structure (EWBS를 통한 정보보호 시스템의 보안성 평가 업무량 및 비용 산정 프로세스)

  • You, Hyung-Joon;Ko, Jeong-Ho;Chang, Soo-Jin;Ahn, Sun-Suk;Lee, Gang-Soo;Jung, Hong-Jin
    • Journal of KIISE:Software and Applications
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    • v.27 no.2
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    • pp.134-147
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    • 2000
  • Even though software industry has been activated, there lack in results of studies on evaluation effort and cost of software systems including Information Technology Security System (ITSS). In this paper, we present a process and a tool for evaluation effort and cost of ITSS, which are conformed to a ITSS evaluation criteria(i. e., Common Criteria or ISO/IEC 15408), by utilizing Evaluation Work Break-down Structure (EWBS) and conventional software development cost estimation methods. Even though we concentrate on ITSS, results of this paper can be applied to estimation of effort and cost of evaluation of software development process and software products.

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Parameter Estimation and Prediction for NHPP Software Reliability Model and Time Series Regression in Software Failure Data

  • Song, Kwang-Yoon;Chang, In-Hong
    • Journal of Integrative Natural Science
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    • v.7 no.1
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    • pp.67-73
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    • 2014
  • We consider the mean value function for NHPP software reliability model and time series regression model in software failure data. We estimate parameters for the proposed models from two data sets. The values of SSE and MSE is presented from two data sets. We compare the predicted number of faults with the actual two data sets using the mean value function and regression curve.