• Journal of Information Science Theory and Practice
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• v.1 no.3
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• pp.33-46
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• 2013

Despite limited success, today's information retrieval (IR) systems are not intelligent or reliable. IR systems return poor search results when users formulate their information needs into incomplete or ambiguous queries (i.e., weak queries). Therefore, one of the main challenges in modern IR research is to provide consistent results across all queries by improving the performance on weak queries. However, existing IR approaches such as query expansion are not overly effective because they make little effort to analyze and exploit the meanings of the queries. Furthermore, word sense disambiguation approaches, which rely on textual context, are ineffective against weak queries that are typically short. Motivated by the demand for a robust IR system that can consistently provide highly accurate results, the proposed study implemented a novel topic detection that leveraged both the language model and structural knowledge of Wikipedia and systematically evaluated the effect of query disambiguation and topic-based retrieval approaches on TREC collections. The results not only confirm the effectiveness of the proposed topic detection and topic-based retrieval approaches but also demonstrate that query disambiguation does not improve IR as expected.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.1
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• pp.23-32
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• 2009

Although the web is becoming a widely accepted medium, it provides relatively poor performance and low availability. A cluster consists of a collection of interconnected stand-alone computers working together and provides a high-availability solution in application area such as web services or information systems. Web server clusters require a high-availability service with a proactive and practical fault management. However, as the system complexity grows, it is not easy to meet the requirement. Therefore, web server clusters must have self-fault management capability for meeting high-availability requirement. In this paper, we propose high availability web server clusters using self-healing technique with a minimal human intervention. Our experimental results show that a proposed method can be used to improve the availability of web server clusters.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.958-961
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• 2007

Recently, research and deployment have been very active on wireless mesh technologies. Wireless mesh networks extends the coverage of the WLAN easily and economically. Although existing protocols developed for MANET and WSN can be used for wireless mesh WLANs, considerable amount of research are still required, because they exhibit poor performance, when applied as they are, due to a few critically different requirements This paper examine research issues on physical and link layers of WLANs considering those requirements.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.981-983
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• 2013

Damage of the road flooding has recently increased because of torrential rains. However, its prevention is in poor situation. In this study, we propose system expressing an information of flood risk for announcing to drivers to prevent damage of flooding or traffic jams. Our system implements on GUI enviroment that users can easily know the danger of road flooding using C# Language and ArcObjects API. If users use this system, they can know how dangerous of flooding.

• Journal of Yeungnam Medical Science
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• v.8 no.2
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• pp.150-157
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• 1991

The purpose of the this study was to assess the morbidity pattern of urban residents in the poor area by health screening for the community diagnosis. The items of health screening were history taking and physical examination by medical doctor and hearing test, check blood pressure, test for hematocrit, liver function(sGOT, sGPT), urine sugar and protein, and chest X-ray. The examinee in health screening were 437 persons and they occupied 16.9% of total residents in the poor area. Male examinee were 129 persons(9.9% of total residents) and female examinee were 308 persons(23.9% of total residents). Age group of above sixty years old, 42.0% of total residents in the poor area were participated, but only 5.9% were participated in age group of 10 to 19 years old. Among the 437 examinee, 191 persons(43.7%) had one or more abnormal findings in health screening. In male 38.7% had abnormal findings, and some what lower than that of female(45.8%). Age group of above sixty years had most high rate of abnormal findings(69.8%), in contrast to age group of 10 to 19 years old (10.9%). Diseases of the digestive system was the most common and which occupies 23.7% of total abnormal findings. And diseases of the circulatory system occupied 19.7%. Low hematocrit(14.6% of total participants of 437 persons) occupies the most common abnormal findings for screening test(hematocrit, blood pressure, hearing test, sGOT/sGPT, urine protein and urine sugar, chest X-ray) and high blood pressure(10.1%) occupied second, third; hearing impairment (5.5%), fourth ; abnormal liver function (4.1%), fifth ; sugar in urine (2.3%), sixth ; protein in urine(1.4%) and lastly abnormal chest X-ray (0.9%). The positive rate of abnormal findings in health screening was very high compared with morbidity rate by health interview. It is supposed that some portion of this high rate is by selection bias in examinee in health screening specially high participating rate in older age, and the other portion is due to the low socioecomic status and bad environment of the residents of the poor area. These findings will be good information for the research and development of health care system in the urban poor area.

• Convergence Security Journal
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• v.14 no.5
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• pp.31-36
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• 2014

As security management center of financial area, financial ISAC monitors financial corporations and provides security services. Financial ISAC minimizes damage by responding quickly to external attack such as hacking, virus but it is poor at handling internal attack. For the efficient management and stable operation of information source, also to respond jointly to online hacking, the necessity of information sharing system increases day by day in and outside country. This paper proposes financial ISAC that can prevent a secondary damage of leakage information as well as providing security services. The proposed financial ISAC provides new password to financial corporation in which the same ID and password as leakage information are used and in case of financial information leakage it warns customers against phishing etc.

• Journal of Korean Library and Information Science Society
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• v.6
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• pp.187-211
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• 1979

Persons who are waiting for decision of the court concerning whether they are guilty or not after they are involved in the criminal case and detained in the special institution isolated from society, will desire to de found innocent and acquited or to be slightly punished. Inmates are the suspected persons and the accused persons who are detained in the correctional institution. They have the right to de assisted by lawyes in order to receive the favorable verdict in the court. However, the right of the poor and the ignorant, in reality, cannot be perfectly protected due to the imperfection and defect of the defense counsel system itself and its application. Therefore, as a means to guarantee the so-called access to the court, the fundamental constitutional right, the law libraries are established and the legal information services are provided to the inmates within the correctional institution in the advanced country such as the United States. In addition, the judicial precedent and the various kinds of professional organizations provide the managerial guide-lines for such libraries to enoughly collect materials and to provide the effective information services to the inmates. In order to furnish the management of the correctional institution of Korea with useful information, the legal information services, materials collected, and information service personnel of the law libraries within the correctional institution are minutely examined in this paper.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.73-81
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• 2022

The focus of the research is to determine the amount of financial information disclosure and the factors that influence it for non-financial enterprises listed on Vietnam's stock exchange. To evaluate the level of financial information disclosure, the study uses a set of disclosure indexes from the world's leading credit rating agency, Standard and Poor's (S&P). It makes some revisions in compliance with regulations for information disclosure on the Vietnam stock market. The study collects data in the form of annual reports for the year 2017-2020 from 350 non-financial firms listed on Vietnam's stock exchange and then uses a multivariate regression model to assess the effects of factors on the amount of financial information disclosure. The findings show that the size of the firm, the size of the board of directors, and foreign ownership all have a positive impact on financial transparency; however, the number of years the company has a negative impact. According to the findings of this study, companies with more total assets, a larger board of directors, and a higher rate of foreign ownership publish more financial information. Still, long-term listed companies on the stock exchange tend to disclose less.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.7
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• pp.2356-2376
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• 2021

In this paper, we proposed a novel modulation recognition method based on quantum elephant herding algorithm (QEHA) evolving neural network under impulse noise environment. We use the adaptive weight myriad filter to preprocess the received digital modulation signals which passing through the impulsive noise channel, and then the instantaneous characteristics and high order cumulant features of digital modulation signals are extracted as classification feature set, finally, the BP neural network (BPNN) model as a classifier for automatic digital modulation recognition. Besides, based on the elephant herding optimization (EHO) algorithm and quantum computing mechanism, we design a quantum elephant herding algorithm (QEHA) to optimize the initial thresholds and weights of the BPNN, which solves the problem that traditional BPNN is easy into local minimum values and poor robustness. The experimental results prove that the adaptive weight myriad filter we used can remove the impulsive noise effectively, and the proposed QEHA-BPNN classifier has better recognition performance than other conventional pattern recognition classifiers. Compared with other global optimization algorithms, the QEHA designed in this paper has a faster convergence speed and higher convergence accuracy. Furthermore, the effect of symbol shape has been considered, which can satisfy the need for engineering.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.182-192
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• 2022

All the aspects of human life have been affected by the novel coronavirus (Covid-19). It has rapidly spread in most countries including the Kingdom of Saudi Arabia. As a result, early precautionary actions aiming to minimise the virus effect are taken by the Saudi government. One of these actions is the sudden shift to online classes and suspending the attendees to all educational institutes. Such immediate change can have a significant effect on the educational process, especially for students. One can argue that students' information-seeking behaviour within the current situation can affect their learning quality and outcomes. Therefore, this paper examines the Saudi students' information-seeking behaviour by taking a sample of students from Umm Al-Qura University. A descriptive analysis is conducted with 193 students and two approaches are used to collect data, questionnaire and semi-structured interview. The results showed that the majority of students face difficulties when searching and retrieving e-resources from the university library website. The problems range from mainly poor User Experience (UX), network connection, multiple errors and lack of subscription with academic publishers.