• ETRI Journal
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• v.18 no.1
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• pp.29-41
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• 1996

This paper describes a method to select a suitable feature for speech recognition using information theoretic measure. Conventional speech recognition systems heuristically choose a portion of frequency components, cepstrum, mel-cepstrum, energy, and their time differences of speech waveforms as their speech features. However, these systems never have good performance if the selected features are not suitable for speech recognition. Since the recognition rate is the only performance measure of speech recognition system, it is hard to judge how suitable the selected feature is. To solve this problem, it is essential to analyze the feature itself, and measure how good the feature itself is. Good speech features should contain all of the class-related information and as small amount of the class-irrelevant variation as possible. In this paper, we suggest a method to measure the class-related information and the amount of the class-irrelevant variation based on the Shannon's information theory. Using this method, we compare the mel-scaled FFT, cepstrum, mel-cepstrum, and wavelet features of the TIMIT speech data. The result shows that, among these features, the mel-scaled FFT is the best feature for speech recognition based on the proposed measure.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.25-39
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• 2021

This purpose of this study is to investigate the association among mutual funds (MFs) risk measures and return parameters, evaluate mutual fund performance and also explore the best appropriate mutual fund performance measure for investment in Pakistan. Therefore, thirty-five mutual funds have been selected for the period 2007-2015. The Sharpe, Treynor, Jensen Alpha, Information ratio and Fama's Net Selectivity measures has been used to analyze MF performance. Our study findings show significant positive relation exist between Sharpe and Jenson alpha & information ratio (IR); Treynor ratio is negatively correlated to Jenson alpha and Jenson alpha is positively allied with IR. Moreover, association among performance measures, Fama's net selectivity is a major driver in leading to other measures but Sharpe and IR lead to Treynor ratio as well. Furthermore, performance measures are ranked in accordance standard deviation with the arrangement of Fama's net selectivity at top, Jenson Alpha at second, Sharpe ratio at third, IR at fourth and Treynor ratio at fifth position according to risk parameters in Pakistan. Overall, Jensen Alpha measure appears to be the best suitable mutual fund performance measure in Pakistan due to its practical nature. Finally, the Pakistani stock market index KSE100 (as benchmark) performs better than MF industry of Pakistan.

• Journal of the Ergonomics Society of Korea
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• v.11 no.1
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• pp.103-109
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• 1992

Direct manipulations are composed of pointing operations and dragging operations. In order to find the optimum design parameters (such as C/D ratio, moving direction) for the direct manipulation of a GUI(Graphical User Interface), an ergonomic experiment was devised (2*4*3*8 design) to measure the performance of a mouse (Microsoft) and a trackball (Logitech). The results showed that the mouse was more suitable for the direct manipulation (expecially for the dragging operation) than the trackball, and the suitable C/D ratio was 10 (for the mouse) and 16 (for the trackball). Also the movement direction was a determinant factor in trackball performance.

• Knowledge Management Research
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• v.21 no.2
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• pp.1-19
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• 2020

The purpose of this study is to suggest a practical way to measure and report corporate social performance as public interest in corporate social value pursuits increases. In particular, we will look for ways to measure and report on the financial and social performance of a company based on the concept of the Double Bottom Line (DBL), which has recently spread to big companies. For this purpose, this study analyzed the theoretical background and practical techniques related to measuring and reporting corporate social performance, and examined methods for measuring and reporting social performance in the existing financial performance measurement system. As a result, SROI was the most suitable method for measuring social performance of a company. It is recommended that social performance reporting follows the disclosure method of the accounting system, and the details of reporting suggest that using the standard of GRI Standard, an international standard related to sustainability reporting, is the most reasonable alternative to 'Double Bottom Line' performance reporting.

• Journal of Korean Society of Forest Science
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• v.95 no.5
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• pp.569-579
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• 2006

This study focuses on the application of multi-criteria performance measures based on the concept of equifinality to the calibration of the rainfall-runoff model TOPMODEL in a small deciduous forest catchment. The performance of each parameter set was evaluated by six performance measures, individually, and each set was identified as a behavioral or non-behavioral parameter set by a given behavioral acceptance threshold. Many behavioral parameter sets were scattered throughout the parameter space, and the range of model behavior and the sensitivity for each parameter varied considerably between the different performance measures. Sensitivity was very high in some parameters, and varied depending on the kind of performance measure as well. Compatibilities of behavioral parameter sets between different performance measures also varied, and very few parameter sets were selected to be used in making god predictions for all performance measures. Since different behavioral parameter sets with different likelihood weights were obtained for each performance measure, the decision on which performance measure to be used may be very important to achieve the goal of study. Therefore, one or more suitable performance measures should be selected depending on the environment and the goal of a study, and this may lead to decrease model uncertainty.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.599-604
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• 2018

This study aimed to examine the various factors structure of Performance Enhancement Attitude Scale (PEAS) by using confirmatory factor analysis and to provide a suitable questionnaire for elite athletes to measure attitudes toward doping. Three hundred and fifty-five handball players participated in this study and they filled out a self-administrated 17-items PEAS. And 17-items, 11-items, 9-items, 8-items and 6-items PEAS were examined by using confirmatory factor analysis, respectively. 6-items PEAS was suitable to measure attitudes toward doping for adult athletes, and PEAS for adolscent should be developed by being consisted of suitable questions for adolscent athletes.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.426-429
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• 2004

To reconstruct the 3-D information of a irregular object, this paper proposes a new method applying the composition focus measure to time-series image. A focus measure function is carefully selected because a focus measure is apt to be affected by the working environment and the characteristics of an object. The proposed focus measure function combines the variance measure which is robust to noise and the Laplacian measure which, regardless of an object shape, has a good performance in calculating the focus measure. And the time-series image, which considers the object shape, is proposed in order to efficiently applying the interesting window. This method, first, divides the image frame by the window. Second, the composition focus measure function be applied to the windows, and the time-series image is constructed. Finally, the 3-D information of an object is reconstructed from the time-series images considering the object shape. The experimental results have shown that the proposed method is suitable algorithm to 3-D reconstruction of an irregular object.

• Journal of Technology Innovation
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• v.13 no.1
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• pp.265-293
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• 2005

This research examines the relationship between the characteristics of Government S&T Research Institutes (GRI) and their institutional performance evaluation system. First, based on Kaplan & Norton (1992) Balanced Scorecard Model, six perspectives suitable to Korean GRI are derived. Second, personnel who works on evaluation job classified current performance measures into the six perspectives. Analyzing comparative weights of individual perspectives, the characteristics of performance evaluation systems among institutes are derived and compared with their missions. The results are as follows: First, GRI evaluation systems put most weight on the customer perspective and least weight on the financial perspective. This result complies with Korean GRI's missions and strategies as well as findings of foreign cases. Second, Basic-technology GRI group relatively more priotizes long-term customer perspective, while Applied-technology GRI Group relatively more priotizes short-term customer perspective. Public-technology GRI Group is located in the middle in terms of priority of customer perspectives. Third, for three yews (2000-2002), performance measure weights of Basic-technology Group are changed much less than those of the other two groups. Further research are needed for reasons of drastic changes for Applied-technology and Public-technology groups and some abnormally high and low measure weights.

• Journal of the Semiconductor & Display Technology
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• v.19 no.3
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• pp.7-11
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• 2020

Enormous methods have been proposed for the detection and segmentation of blur and non-blur regions of the images. Due to the limited available information about the blur type, scenario and the level of blurriness, detection and segmentation is a challenging task. Hence, the performance of the blur measure operators is an essential factor and needs improvement to attain perfection. In this paper, we propose an effective blur measure based on the local binary pattern (LBP) with the adaptive threshold for blur detection. The sharpness metric developed based on LBP uses a fixed threshold irrespective of the blur type and level which may not be suitable for images with large variations in imaging conditions and blur type and level. Contradictory, the proposed measure uses an adaptive threshold for each image based on the image and the blur properties to generate an improved sharpness metric. The adaptive threshold is computed based on the model learned through the support vector machine (SVM). The performance of the proposed method is evaluated using a well-known dataset and compared with five state-of-the-art methods. The comparative analysis reveals that the proposed method performs significantly better qualitatively and quantitatively against all the methods.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2014.10a
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• pp.1-1
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• 2014

Side scuttle in the shipboard windows is used in a smaller size in order to prevent damage to the glass. This shipboard windows should have high sound insulation performance (More than $R_w$ 53 dB) according to norsok standards. However, side scuttle having a small size and high sound insulation material is difficult to measure exact result without a suitable filler wall. In this study, the test was conducted according to the number of changes in the small window. As a result, before starting the test should be conducted to the selection of the suitable filler wall or secure a specimen area.