Earticle

The number of standards and methods has been developed for software estimation in the last many decades. These methods help practitioners and engineers to estimate the effort accurately, but they found their inability to estimate software precisely. In this paper, an empirical approach is developed to measure the software development effort. The well-known PROMISE data sets of 217 projects are collected and the several performance factors are used in this paper to validate the estimated results. This work also considers the most popular model for software effort estimating, i.e. COCOMO. And the result of the COCOMO model and proposed an empirical approach is compared with the actual effort, and concludes that the proposed approach estimates the software development effort better than COCOMO in several aspects.

Software defects prediction research is converging on the use of function point elements for software defect predictions. Studies on the nature and behavior of the function point elements are expanding. Previous studies have analyzed the correlation between the function point elements. This paper presents correlation analysis between function point elements and the software defects. It is observed that external input count and external inquiry count function point elements show some correlation with software defects. Different data subsets were analyzed, where 4GL projects shows strong correlation with defects over 3GL and ApG/other projects, while enhancement software projects show more correlation with defects over new software projects.

The non-source temperature calibration method of the multi-spectral pyrometer (MSP), put forward in the previous article, is the non-source calibration method based on the MSP transfer function (NCCTF). In this paper, the practicability of NCCTF is researched. The situations that maybe encountered of the temperature points in the actual calibration process are simulated. The impact of the intervals temperature points of different number and unequal intervals temperature points on the NCCTF accuracy are researched theoretically to determine the temperature points select method. Simulation experimental results show that the NCCTF can meet the actual calibration process with good usability.

An algorithm to detect the number of discontinuity points of the variance function in regression model is proposed. The proposed algorithm is based on the left and right one-sided kernel estimators of the second moment function and test statistics of the existence of a discontinuity point coming from the asymptotic distribution of the estimated jump size. The finite sample performance is illustrated by simulated example.

We study the properties of non-diffenrentiable points of a self-similar Cantor function from which we conjecture a generalization of Darst's result that the Hausdorff dimension of the non-diffenrentiable points of the Cantor function is $(\frac{ln\;2}{ln\;3})^2$.

Using the periodic continued fraction, we give concrete examples of the points at which the derivatives of the Minkowski question mark function does not exist. We also give examples of the differentiability points which show that recent apparently independent results are consistent and closely related.

We study the asymptotic boundary behavior of the Bergman kernel function on the diagonal, the Bergman metric and the holomorphic sectional curvatures of the Bergman metric in bounded strongly pseudoconvex domains.

일반산업 분야의 프로젝트에 비해 소프트웨어 개발 분야에서의 프로젝트는 그 자체 특성상 가시적이고 계량적으로 평가하기 어려웠고 이로 인해 그 동안 국내 업계 및 정부기관에서는 프로젝트 규모 및 비용 산정에 있어서 많은 어려움이 있었다. 다행히도 최근 국제적으로 소프트웨어 프로젝트 측정기준으로 자리잡고 있는 기능점수에 관해서 국내 학계 및 업계에서도 관심을 가지게 되었고 관련된 연구결과도 계속 나오고 있다. 또한, 정부기관을 비롯하여 업계에서도 이러한 연구 결과를 기반으로 소프트웨어 개발비, 유지보수 및 재 개발비의 산정 기준으로 기능점수를 활용하려는 시도가 이루어지고 있다. 이러한 기능점수의 산정에 있어서 프로젝트의 주요 개발 요소인 하드웨어 플랫폼, 개발언어 유형, 대상업무 유형, 개발 납기 등에 따라 보정계수가 다르게 적용되고 있다. 그러나 아직 국내에서는 기능점수로 프로젝트 비용을 산정하기 위한 공감대 및 신뢰도에 대한 확산이 안된 상태이고 이에 따른 분쟁의 소지도 여전히 가지고 있다. 이러한 시점에서 본 논문은 ISBSG(International Software Benchmarking Standards Group)에서 제공하는 그 동안 축적된 해외 프로젝트 개발 결과 데이터를 기초로 기능점수와 프로젝트 개발에 투입되는 주요 개발요소간 관련성 및 프로젝트 개발 요소간의 상관관계를 분석 및 검증하여, 프로젝트 내에서의 기능점수와 관련된 개발요소간의 관련 정도에 대한 통계적 근거를 제시하여 향후 기능점수와 관련해서 이와 유사한 국내 프로젝트 수행 시 벤치마킹 자료로 활용하는데 그 목적이 있다.

The purpose of this study is to analyze tasks to find intersection points of a function and its inverse function. To do this, we produced a task and 64 people solved the task. As a result, most people had a cognitive conflict related to inverse function. Because of over-generalization, most people regarded intersection points of a function and y=x as intersection points of a function and its inverse. To find why they used the method to find intersection points, we investigated 10 mathematics textbooks. As a result, 23 tasks were related a linear function, quadratic function, or irrational function. 21 tasks were solved by using an equation f(x)=x. 3 textbooks presented that a set of intersection points of a function and its inverse was not equal to a set of intersection points of a function and y=x. And there was no textbook to present that a set of intersection points of a function and its inverse was equal to a set of intersection points of $y=(f{\circ}f)(x)$ and y=x.

Front Points are told to be deeply related with viscera and bowels in oriental medicine. Since the Front Points are treated as response zone, it can be used for the diagnosis and treatment of disease in viscera and bowels. The location of Front Points are very similar to the several response zones in western medicine. Diagnostic aspect of Front Points to several response zones were discussed in here based on many thesis and reported laboratorial experiments. Front Points are located in the same latitude of viscera and bowels. So, diagnosis result in Front Points represent condition of each organs. Palpitation of the Front Points can make diagnosis of body surface and the organ beneath the body surface. Such use of Front Points for diagnosis can used as the treatment points also. Only three Front Points (LU-1, LI-14, GB-24) in lung, liver and gall bladder meridian are located on its meridian. The Front Points of Stomach (CV-12) cross its meridian or closely located to it. Unlike to those four Front Points that are matched to its meridian, other eight Front Points do not located or cross its meridian at all. It seems that the location of Front Points are decided by the location of organs and the conditions at a certain organ do not delivered by the meridians but delivered by main collaterals, tertiary collaterals and superficial collaterals instead. Among visceral response zones, Five Front Points (CV-3, CV-4, CV-12, LI-14, GB-25) are exactly matched to Head's response zone and other Front Points are closely matched to the Head's response zone. There are five Front Points (CV-12, CV-14, CV-17, LI-14, GB-24) that are matched with the location of pressing palpitation point and other Front Points are closely located to the pressing palpitation point. So far, it was clear that the Front Points do have important role as response points. Symptoms expressed to the Front Points were delivered conditions or symptoms occur in corresponding organ and the anatomical location of Front Points were also found near the corresponding organ. Diagnostic and therapeutic application of Front Points for Organ theory and in the Interpromotion-restraint of the five elements in oriental medicine can be made in future to increase its potential.

변위량을 계산하여 영상 쌍의 대응점을 추출하는 방법중에서 대표적인 Hom & Schunck 수법이 있고, 이는 미분법을 기초하기 때문에 변위가 큰 변위량 추정을 위하여는 적당치 않다. 본 논문에서는 이러한 종래의 수법으로는 계측이 곤란하였던 이동량이 큰 변위의 변위량을 추정할 수 있는 직교 함수 전개법을 제안한다. 종래의 Horn & Schunck 수법에 의한 변위량은 국소적처리를 출발점으로 하는bottom-up수법으로 구하였으나, 직교 함수 전개법에서는 이와는 반대로 영상 전체의 움직임을 직교함수의 저차 모드부터 순차 전개하는 top-down수법을 이용한다. 직교 함수 전개법을 이용하여 변위량을 구하는 방법은 명도의 적분치 불변의 구속 조건에 관한 도함수를 이용하는 투영법에 의한 반복 계산으로 얻어진다. 마지막으로 구하여진 변위량과 제1원영상으로부터 제2의 영상을 합성하고, 합성된 영상과 제2의 원영상과 NRMS오차와 상관값을 비교하여 그 유효성을 보인다.

In computing the optical flow, Horn and Schunck's method which is a representative algorithm is based on differentiation. Therefore it is difficult to estimate the velocity for a large displacement by this algorithm. In this paper, we propose a method for estimating nonuniform motion from sequential images which is based on integral brightness constancy constraints. The equations which transform a source image to a target image are expressed as a function of the displacement field. If marginal effects can be neglected, the form of the transformation integral transform or orthogonal expansion can be determined from the expansion coefficients of the two images. The apparent displacement field is then computed iteratively by a projection method which utilities the functional derivatives of the linearized moment equations. We demonstrate that the performance of the orthogonal function transform on the data set of large motion.

본 연구는 시간의 순서에 따라 순차적으로 발생한 신호 자료에 있어서, 변화점 검출을 위한 베이지안 방법을 개발하고자 한다. 특히, Reversible Jump MCMC를 이용하여, 차원이 정해지지 않은 모수 공간을 탐색할 수 있는 효율적인 베이지안 추론 모형을 개발한다. 신호가 각 구간에서 선형함수인 경우에 대한 모형과 이해가 용이한 모형을 제안하고, 추정을 위해 고유의 MCMC알고리즘을 개발하였다. 제안된 방법을 모의실험 자료에 적용함으로써 그 정확성 및 효율성을 검증하였고, 실제 자료에도 적용하여 보았다.

When consecutive data follows different distributions(depending on the time interval) change-point detection infers where the changes occur first and then finds further inferences for each sub-interval. In this paper, we investigate the Bayesian detection of multiple change points. Utilizing the reversible jump MCMC, we can explore parameter spaces with unknown dimensions. In particular, we consider a model where the signal is a piecewise linear function. For the Bayesian inference, we propose a new Bayesian structure and build our own MCMC algorithm. Through the simulation study and the real data analysis, we verified the performance of our method.

본 논문에서는 머리전달함수 보간 알고리즘을 제안하며, 특히 작은 크기의 측정 데이터를 다루는 경우를 고려한다. 제안하는 알고리즘은 머리전달함수의 음향학적 모델링에 기초하며, 모델링 계수를 추정함으로써 머리전달함수를 보간한다. 이 때 측정 위치의 개수가 부족할 경우 모델링 계수를 추정하는 것은 매우 어려우며, 따라서 본 알고리즘은 벡터-기반 크기 패닝 기법을 이용하여 데이터를 확장함으로써 이러한 문제를 해결하려고 한다. 본 알고리즘은 벡터-기반 크기 패닝 기법 기반의 데이터 확장 단계와, 최소자승법 기반의 모델링 계수 추정 단계의 두 단계로 이루어져 있다. 제안하는 알고리즘의 성능을 확인하기 위하여 CIPIC(Center for Image Processing and Integrated Computing) 머리전달함수 데이터베이스의 측정 데이터 중 일부를 이용한 시뮬레이션을 진행하였으며, 시뮬레이션 결과 약 1.5 dB ~ 4 dB의 최소 자승 오차가 감소됨을 확인할 수 있었다.

In this paper, an interpolation method of HRTF (Head-Related Transfer Function) is proposed for small-sized measurement data set, especially. The proposed algorithm is based on acoustic modeling of HRTFs, and the algorithm tries to interpolate the HRTFs via estimation the model coefficients. However, the estimation of the model coefficients is hard if there is lack of measurement points, so the algorithm solves the problem by a data augmentation using the VBAP (Vector Based Amplitude Panning). Therefore, the proposed algorithm consists of two steps, which are data augmentation step based on VBAP and model coefficients estimation step by least squares method. The proposed algorithm was evaluated by a simulation with a measured data from CIPIC (Center for Image Processing and Integrated Computing) HRTF database, and the simulation results show that the proposed algorithm reduces mean-squared error by 1.5 dB ~ 4 dB than the conventional algorithms.