• Title/Summary/Keyword: Performance-based Statistics

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Content Analysis of Voluntary Environmental Disclosure Made in Stand-alone Environmental Reports or Company Web-sites: Focusing on the Interrelations between Disclosure Quality, Environmental Performance and Economic Performance (환경보고서 혹은 웹사이트를 통한 자발적 환경공시의 내용분석: 환경성과 및 경제적 성과와의 동시적 상관관계를 중심으로)

  • Choi, Jong-Seo
    • Journal of Environmental Policy
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    • v.9 no.3
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    • pp.69-114
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    • 2010
  • This study investigates the voluntary corporate disclosure of environmental information via stand-alone environmental reports or company web-sites. Quality of disclosure was assessed using the content analysis index proposed by Clarkson et al. (2008) based on GRI guidelines. Descriptive statistics on disclosure scores by category suggest that the level of disclosure is low relative to the expectation implied by the GRI reporting guidelines, and points to the need for improvement in the future. Specific areas where improvement is required include the disclosure of environmental performance indicators. Corporate environmental performance was measured in terms of the percentage of toxic wastes that was treated or processed by each firm and economic performance, by industry-adjusted annual return, which was subject to a series of association tests designed to explore the interrelations among environmental disclosure, environmental performance, and economic performance. The individual equation approach based on OLS procedures suggests a positive association between environmental performance and the level of discretionary environmental disclosures, which is not the case between environmental and economic performance. An integrated analysis using simultaneous equations approach does not indicate any significant relationships among three constructs, suggesting the lack of endogeneity, inconsistent with Al-Tuwaijri et al. (2004). Additional analysis assesses the level of environmental disclosure made in footnotes to the audited annual reports, which suggests that the quality of disclosure is very low and that footnote disclosure does not serve as a meaningful channel for the provision of corporate environmental information.

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Wavelet-Based Edge Detection Using Local Histogram Analysis in Images (영상에서 웨이블렛 기반 로컬 히스토그램 분석을 이용한 에지검출)

  • Park, Min-Joon;Kwon, Min-Jun;Kim, Gi-Hun;Shim, Han-Seul;Kim, Dong-Wook;Lim, Dong-Hoon
    • The Korean Journal of Applied Statistics
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    • v.24 no.2
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    • pp.359-371
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    • 2011
  • Edge detection in images is an important step in image segmentation and object recognition as preprocessing for image processing. This paper presents a new edge detection using local histogram analysis based on wavelet transform. In this work, the wavelet transform uses three components (horizontal, vertical and diagonal) to find the magnitude of the gradient vector, instead of the conventional approach in which tw components are used. We compare the magnitude of the gradient vector with the threshold that is obtained from a local histogram analysis to conclude that an edge is present or not. Some experimental results for our edge detector with a Sobel, Canny, Scale Multiplication, and Mallat edge detectors on sample images are given and the performances of these edge detectors are compared in terms of quantitative and qualitative measures. Our detector performs better than the other wavelet-based detectors such as Scale Multiplication and Mallat detectors. Our edge detector also preserves a good performance even if the Sobel and Canny detector are sharply low when the images are highly corrupted.

Spatial-Temporal Moving Sequence Pattern Mining (시공간 이동 시퀀스 패턴 마이닝 기법)

  • Han, Seon-Young;Yong, Hwan-Seung
    • The Korean Journal of Applied Statistics
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    • v.19 no.3
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    • pp.599-617
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    • 2006
  • Recently many LBS(Location Based Service) systems are issued in mobile computing systems. Spatial-Temporal Moving Sequence Pattern Mining is a new mining method that mines user moving patterns from user moving path histories in a sensor network environment. The frequent pattern mining is related to the items which customers buy. But on the other hand, our mining method concerns users' moving sequence paths. In this paper, we consider the sequence of moving paths so we handle the repetition of moving paths. Also, we consider the duration that user spends on the location. We proposed new Apriori_msp based on the Apriori algorithm and evaluated its performance results.

Reliability-based assessment of damaged concrete buildings

  • Sakka, Zafer I.;Assakkaf, Ibrahim A.;Qazweeni, Jamal S.
    • Structural Engineering and Mechanics
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    • v.65 no.6
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    • pp.751-760
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    • 2018
  • Damages in concrete structures due to aging and other factors could be a serious and immense matter. Making the best selection of the most viable and practical repairing and strengthening techniques are relatively difficult tasks using traditional methods of structural analyses. This is due to the fact that the traditional methods used for assessing aging structure are not fully capable when considering the randomness in strength, loads and cost. This paper presents a reliability-based methodology for assessing reinforced concrete members. The methodology of this study is based on probabilistic analysis, using statistics of the random variables in the performance function equations. Principles of reliability updating are used in the assessment process, as new information is taken into account and combined with prior probabilistic models. The methodology can result in a reliability index ${\beta}$ that can be used to assess the structural component by comparing its value with a standard value. In addition, these methods result in partial safety factor values that can be used for the purpose of strengthening the R/C elements of the existing structure. Calculations and computations of the reliability indices and the partial safety factors values are conducted using the First-order Reliability Method and Monte Carlo simulation.

Mixed-Norm Patch Similarity Search for Self-Example-based Single Image Super-Resolution (자가 표본 기반 단일 영상 초해상도 복원을 위한 혼합 놈 패치 유사도 검색)

  • Oh, Jong-Geun;Hong, Min-Cheol
    • Journal of IKEEE
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    • v.22 no.2
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    • pp.491-494
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    • 2018
  • This paper presents a similarity search method based on mixed norm for enhancing self-example-based single image super-resolution. In order to incorporate the local statistical characteristics of the patches into the super-resolution image reconstruction, we propose a method to determine the order of the norm according to the patch inclination and use it as a similarity search between patches. Experimental results demonstrate that the proposed similarity search method has the capability to improve the performance of existing search method.

A TWO-STAGE SOURCE EXTRACTION ALGORITHM FOR TEMPORALLY CORRELATED SIGNALS BASED ON ICA-R

  • Zhang, Hongjuan;Shi, Zhenwei;Guo, Chonghui;Feng, Enmin
    • Journal of applied mathematics & informatics
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    • v.26 no.5_6
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    • pp.1149-1159
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    • 2008
  • Blind source extraction (BSE) is a special class of blind source separation (BSS) methods, which only extracts one or a subset of the sources at a time. Based on the time delay of the desired signal, a simple but important extraction algorithm (simplified " BC algorithm")was presented by Barros and Cichocki. However, the performance of this method is not satisfying in some cases for which it only carries out the constrained minimization of the mean squared error. To overcome these drawbacks, ICA with reference (ICA-R) based approach, which considers the higher-order statistics of sources, is added as the second stage for further source extraction. Specifically, BC algorithm is exploited to roughly extract the desired signal. Then the extracted signal in the first stage, as the reference signal of ICA-R method, is further used to extract the desired sources as cleanly as possible. Simulations on synthetic data and real-world data show its validity and usefulness.

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Window Configurations Comparison Based on Statistical Edge Detection in Images (영상에서 윈도우 배치에 따른 통계적 에지검출 비교)

  • Lim, Dong-Hoon
    • Communications for Statistical Applications and Methods
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    • v.16 no.4
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    • pp.615-625
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    • 2009
  • In this paper we describe Wilcoxon test and T-test that are well-known in two-sample location problem for detecting edges under different window configurations. The choice of window configurations is an important factor in determining the performance and the expense of edge detectors. Our edge detectors are based on testing the mean values of local neighborhoods obtained under the edge model using an edge-height parameter. We compare three window configurations based on statistical tests in terms of qualitative measures with the edge maps and objective, quantitative measures as well as CPU time for detecting edge.

Analysis of Learning Effects According to Characteristics of Students on Project Based Multimedia Authoring (프로젝트기반 멀티미디어 저작 교육에서 학습자의 특성에 따른 성취도 분석)

  • Cho, Soo-Sun
    • Journal of Korea Multimedia Society
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    • v.8 no.5
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    • pp.691-699
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    • 2005
  • One of the important objects in the multimedia instruction is improvement of ability to make multimedia contents. In order to achieve this goal, instructing project based multimedia contents authoring and examining the effectiveness can be contributable to enhance the instruction strategies. In this study, we analyzed the teaming effects according to characteristics of students on project based multimedia contents authoring which has performed during one semester, at a university to enrich the purpose of multimedia instruction. As the result, differences on teaming effects according to personal characteristics such as 'ages', 'admitter or not', were found to be significant in statistics. And 'interestedness in projects', 'roles in projects' also have lead to distinct differences on students' performance.

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Least Squares Based Adaptive Motion Vector Prediction Algorithm for Video Coding (동영상 압축 방식을 위한 최소 자승 기반 적응 움직임 벡터 예측 알고리즘)

  • Kim, Ji-hee;Jeong, Jong-woo;Hong, Min-Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.9C
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    • pp.1330-1336
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    • 2004
  • This paper addresses an adaptive motion vector prediction algorithm to improve the performance of video encoder. The block-based motion vector is characterized by non-stationary local statistics so that the coefficients of LS (Least Squares) based linear motion can be optimized. However, it requires very expensive computational cost. The proposed algorithm using LS approach with spatially varying motion-directed property adaptively controls the coefficients of the motion predictor and reduces the computational cost as well as the motion prediction error. Experimental results show the capability of the proposed algorithm.

Government Agility and Management Information Systems: Study of Regional Government Financial Reports

  • AHMAD, Jamaluddin;EKAYANTI, Asdian;NONCI, Nurjannah;RAMADHAN, Muhammad Rohady
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.315-322
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    • 2020
  • This study investigates the application of management information systems to the quality of local government financial reports, especially the principle of transparency and the law of accountability, which have been measures of financial statement performance evaluation. The study was conducted in Enrekang Regency, Indonesia, which, based on the results of the examination, the Supreme Audit Board reported the status of Disclaimer, Fair with Exceptions, and Fair without Exceptions for three years each. This study used a sample of 35 respondents, finance department employees who worked on local government financial reports. Descriptive quantitative data were collected using a questionnaire instrument, then with the assistance of the Program Solution and Product Statistics (SPSS) Program, data were processed to test hypotheses. The results showed that the use of management information systems based on information and communication technology (ICT) had a significant influence on the quality of local government financial reports. The findings of this study indicate that the application of ICT-based management information systems affects the accountability and transparency of local government financial reports. This finding is reinforced by the use of the principles of government agility in the form of government apparatuses that apply responsive dexterity, flexibility agility, and competency agility.