• Journal of the Ergonomics Society of Korea
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• v.32 no.1
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• pp.17-26
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• 2013

Objective: The aim of this study is ergonomic analysis of tele-operation tasks using modified remote handling devices dedicated to the cell of PRIDE(PyRoprocess Integrated inactive DEmonstration facility) in KAERI(Korea Atomic Energy Research Institute). Background: Tele-operation manipulators of the PRIDE are applied to perform the remote handling and management of pyroprocessing facilities. Generally, these kinds of systems are composed of master-slave system and its peripherals installed along a wall or ceiling of the cell, and the manipulators transmit the user's own motion to grippers directly. However, a user convenience and intuitiveness while operating the manipulators have not been fully considered in research fields. Method: This study tries to analyze the ergonomic performance of remote handling manipulators in the developed cell facility. It was included that the analysis of operator's capability for his/her own motion range of upper arm while manipulating the MSM, considerations of its manipulation margin and related tool modifications to improve the remote handling performance. Conclusion: The test results of several remote handling tasks performed in PRIDE are represented, and adequate operation strategies for the tele-operation system of hot-cell type facilities are proposed. Application: The knowledge represented in this study can be utilized to improve a tele-operation system operated in a large-scale hot-cell system.

• Journal of Broadcast Engineering
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• v.20 no.6
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• pp.827-836
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• 2015

The purpose of this study is to suggest improvement direction of the delivery system through researching the information accepter' recognition and use about warning delivery system. According to the survey, they listen to civil defence alert broadcasting on mass media more than personal media. The frequency of alert broadcasting is significantly very low and they listen to it below 5 times in a year. Also, nearly one in four people says its siren and contents are indistinct. Alert broadcasting's siren shows less memory retrieval and sorting capability than others and the result shows that they will act based on the broadcasting instead of reacting to prior knowledge in real situations. Finally, the result shows that improving public awareness through education and publicity more than social system buildup is important in civil defence alert system.

• Asia-Pacific Journal of Business
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• v.8 no.1
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• pp.45-65
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• 2017

This study which focused on factors and challenges affecting the decision-making of indigenous corn farmers ascertained the determinants that make farmers decide to engage in and continue corn farming activities in Paracelis, Mountain Province, in Northern Philippines. Determinants of decision and motivational factors of corn farmers were examined based on survey responses of 120 indigenous corn farmers by applying chi-square test analysis. Results showed that there were some decision and motivational factors that were significantly related to specific characteristics of corn farmers and there were also similarities of factors that affected the decision making of farmers in terms of engaging in and sustaining corn farming activities. Among the identified driving forces, financing capability and availability of land area were highly related with farm size and with a farmer's educational attainment. Knowledge or experience and interest in corn farming were also related with educational attainment. All the identified driving forces were found to be unrelated to farmers' age. The motivational factor identified as "personally satisfying" was found to be related with age, educational attainment and years in the farming business. Factors which affected a farmer's decision to sustain corn farming activities ("sustaining" factors) such as availability of different networks is highly related to educational attainment, years in the farming business and farm size while high market price of corn was the only "sustaining" factor linked to educational attainment. Based on these factors and cited problems in corn farming, recommendations were offered to address the issues raised by farmers.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.1
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• pp.76-84
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• 2007

The goal of this paper is to improve the watermarking performance using the following two methods; watermark estimation and low density parity check (LDPC) codes. For a blind watermark decoding, the power of a host image, which is hundreds times greater than the watermark power, is the main noise source. Therefore, a technique that can reduce the effect of the power of the host image to the detector is required. To this end, we need to estimate watermark from the watermarked image. In this paper, the watermark estimation is done by an adaptive estimation method with the generalized Gaussian distribution modeling of sub-band coefficients in the wavelet domain. Since the watermark capacity as well as the error rate can be improved by adopting optimum decoding principles and error correcting codes (ECC), we employ the LDPC codes for the decoding of the estimated watermark. Also, in LDPC codes, the knowledge about the noise power can improve the error correction capability. Simulation results demonstrate the superior performance of the proposed algorithm comparing to LDPC decoding with other estimation-based watermarking algorithms.

• The Journal of the Acoustical Society of Korea
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• v.19 no.1
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• pp.4-10
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• 2000

The work presented in this paper is about a postprocessor, which improves the performance of automatic speech segmentation system by correcting the phoneme boundary errors. We propose a postprocessor that reduces the range of errors in the auto labeled results that are ready to be used directly as synthesis unit. Starting from a baseline automatic segmentation system, our proposed postprocessor trains the features of hand labeled results using multi-layer perceptron(MLP) algorithm. Then, the auto labeled result combined with MLP postprocessor determines the new phoneme boundary. The details are as following. First, we select the feature sets of speech, based on the acoustic phonetic knowledge. And then we have adopted the MLP as pattern classifier because of its excellent nonlinear discrimination capability. Moreover, it is easy for MLP to reflect fully the various types of acoustic features appearing at the phoneme boundaries within a short time. At the last procedure, an appropriate feature set analyzed about each phonetic event is applied to our proposed postprocessor to compensate the phoneme boundary error. For phonetically rich sentences data, we have achieved 19.9 % improvement for the frame accuracy, comparing with the performance of plain automatic labeling system. Also, we could reduce the absolute error rate about 28.6%.

• Proceedings of the CALSEC Conference
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• 2002.01a
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• pp.65-85
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• 2002

In order to achieve competitive business goals, every enterprise needs to evaluate the current level of IS(information systems) performance and their utilization. The evaluation is to measure technical capacity and operational capability of enterprise information systems and to diagnose their effectiveness of business goals and efficiency of resources. Furthermore, organizations need to apply information technology(IT) proactively instead of reactively. However. it is usually very difficult for an enterprise to accumulate knowledge acquired during construction of the information systems and apply it to maintain and evaluate them. Also. most researches regarding evaluation are limited in some parts of evaluation fields, the most prominent being lack of the entire views and integrated relationships of enterprise activities. This dissertation develops an integrated evaluation system, which is based on the continuous improvement model of information systems performance. that effectively measures the level of enterprise information systems performance. enabling enterprises to achieve their goals of information systems and related business strategies. The contents of this work are composed of the continuous improvement model of information systems performance, an integrated evaluation system for IS performance and case study.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.05a
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• pp.383-387
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• 2001

The sea flower begins at the water-sediment Interface. In the ocean basins, the sound velocity of the sediments at the interface vary from a few percent less than the sound speed in water just above the interface to somewhat greater. Marine sediments are unconsolidated; that is, the particles are not cemented of fused together. Samples feel like mud, muddy sand, sand, and so on. With the theoretical knowledge, the systematic research on the searching capability of Ultra Sonic Signal will be continued to identify the influence against the sea water subject. In this research, signal will be analyzed according to the influence range, power and sensitiveness of Ultra Sonic Generator. In addition, the radius of Ultra Sonic Signal will be included. The experimental field work will be executed at Nockdong, Pulkyo and other places well known as a habitat of Pan Shell.

• The Transactions of the Korea Information Processing Society
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• v.6 no.6
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• pp.1590-1597
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• 1999

Advertisements on the Web, rising as a major profit source of Web services, have a distinctive characteristic of detailed classification of potential customers, compared with those of other conventional media such as TV and newspaper. It is therefore possible to advertise selectively according to personal characteristics and to record precise advertisement effects. Web-based advertisement management systems of nowadays have the capability to select ones compatible with personal environment characteristics and registered information, and to provide processed information and knowledge about advertisement effects based on usage recordings. However, they have severe problems in modeling diverse requirements or characteristics of users : customers, advertisers and ISP, and in matching and coordinating of them. In order to solve these problems, we propose a frame work for coordinating the needs of users, advertisers, and ISPs, which is built on top of tree-style classification of advertisements. Other schemes are supported around the framework as follows : (1) characteristics management of pages within themselves, (2) rule-based modeling of advertisement target, and (3) user modeling and case-based analysis. We propose a prototype system within the framework.

• Journal of the Korean Society for information Management
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• v.18 no.4
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• pp.37-55
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• 2001

The purpose of this study is to present a text summarization system using a knowledge base containing information about verbs and their arguments that are statistically obtained from a subject domain. The system consists of two modules: the training module and the summarization module. The training module is to extract cue verbs and their basic sentence patterns by counting the frequency of verbs and case markers respectively, and the summarization module is substantiate basic sentence patterns and to generate summaries. Basic sentence patterns are substantiated by applying substantiation rules to the syntactics structure of sentences. A summary is then produced by connecting simple sentences that the are generated through the substantiation module of basic sentence patterns. ‘robbery’in the daily newspapers are selected for a test collection. The system generates natural summaries without losing any essential information by combining both cue verbs and essential arguments. In addition, the use of statistical techniques makes it possible to apply this system to other subject domains through its learning capability.

• International Journal of Fluid Machinery and Systems
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• v.8 no.4
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• pp.264-273
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• 2015

This presentation describes an experimental approach for the detection of cavitation in hydraulic machines by use of ultrasonic signal analysis. Instead of using the high frequency pulses (typically 1MHz) only for transit time measurement different other signal characteristics are extracted from the individual signals and its correlation function with reference signals in order to gain knowledge of the water conditions. As the pulse repetition rate is high (typically 100Hz), statistical parameters can be extracted of the signals. The idea is to find patterns in the parameters by a classifier that can distinguish between the different water states. This classification scheme has been applied to different cavitation sections: a sphere in a water flow in circular tube at the HSLU in Lucerne, a NACA profile in a cavitation tunnel and two Francis model test turbines all at LMH in Lausanne. From the signal raw data several statistical parameters in the time and frequency domain as well as from the correlation function with reference signals have been determined. As classifiers two methods were used: neural feed forward networks and decision trees. For both classification methods realizations with lowest complexity as possible are of special interest. It is shown that two to three signal characteristics, two from the signal itself and one from the correlation function are in many cases sufficient for the detection capability. The final goal is to combine these results with operating point, vibration, acoustic emission and dynamic pressure information such that a distinction between dangerous and not dangerous cavitation is possible.