• Proceedings of the Korean Geotechical Society Conference
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• 2000.03c
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• pp.37-54
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• 2000

The observational method using field measurement technique have contributed significantly to advancements in the state-of-the art of geotechnical engineering in the 20th century. Due to the rapid development in computer technology, Internet and GIS have become an integral part of civil engineering project management. This paper presents new technologies and development in observational method which have valuable implication on field measurement in geotechnical engineering. Systematic approach to planning monitoring program in geotechnical instrumentation is also presented. Finally, research needs in development and application of integrated design/construction management system in geotechnical engineering projects are discussed.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.16-16
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• 2011

Statistics of extreme rainfall play a vital role in engineering practice from the perspective of mitigation and protection of infrastructure and human life from flooding. While flood frequency assessments, based on river flood flow data are preferred, the analysis of rainfall data is often more convenient due to the finer spatial nature of rainfall recording networks, often with longer records, and potentially more easily transferable from site to site. The rainfall frequency analysis as a design tool has developed over the years in New Zealand from Seelye's daily rainfall frequency maps in 1947 to Thompson's web based tool in 2010. This paper will present a history of the development of New Zealand rainfall frequency analysis methods, and the details of the latest method, so that comparisons may in future be made with the development of Korean methods. One of the main findings in the development of methods was new knowledge on the distribution of New Zealand rainfall extremes. The High Intensity Rainfall Design System (HIRDS.V3) method (Thompson, 2011) is based upon a regional rainfall frequency analysis with the following assumptions: $\bullet$ An "index flood" rainfall regional frequency method, using the median annual maximum rainfall as the indexing variable. $\bullet$ A regional dimensionless growth curve based on the Generalised Extreme Value (GEV), and using goodness of fit test for the GEV, Gumbel (EV1), and Generalised Logistic (GLO) distributions. $\bullet$ Mapping of median annual maximum rainfall and parameters of the regional growth curves, using thin-plate smoothing splines, a $2km\times2km$ grid, L moments statistics, 10 durations from 10 minutes to 72 hours, and a maximum Average Recurrence Interval of 100 years.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.415-426
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• 2021

The implementation of iris biometrics on smartphone devices has recently become an emerging research topic. As the use of iris biometrics on smartphone devices becomes more widely adopted, it is to be expected that there will be similar efforts in the research community to beat the biometric by exploring new spoofing methods and this will drive a corresponding requirement for new liveness detection methods. In this paper we addresses the problem of presentation attacks (Spoofing) against the Iris Recognition System on mobile devices and propose novel Presentation Attack Detection (PAD) method which suitable for mobile environment.

• Journal of Information Technology Services
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• v.8 no.3
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• pp.35-49
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• 2009

This study presents a new design method of courses and programs for interdisciplinary or customized education in university organizations. The concept of modular design in manufacturing industry is employed for the development of new courses and programs design in university education. Diverse customization methods in service processes or service delivery channels in education are excluded in this study to focus on the research purposes. The results of this study can contribute to the development of a new education system for customized or interdisciplinary education in universities.

• Proceedings of the KIEE Conference
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• 1995.07c
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• pp.1054-1057
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• 1995

The pollution-free secondary Li ion battery has been developed recently. However due to short history of Li ion battery, the standards for characterized assessments and standardized testing methods have not been prepared and established yet. Also, the researches have not been done systematically regarding the operating methods of these new type of batteries. Such limited knowledge of new batteries emphasizes the importance of development of characterized assessment and the operating methods.

• Journal of Powder Materials
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• v.8 no.3
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• pp.207-209
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• 2001

Nano particles have recently been a major research interest, motivated by their unusual physical and chemical properties. Such particles can be synthesized using physical and chemical methods. The physical methods need expensive installation like vacuum induction furnace, whereas in chemical methods the process in generally very simple and low cost. In this study, simple and new fabrication process by using ultrasound was investigated to prepare the nano-sized metal particles on various powders at room temperature.

• ETRI Journal
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• v.42 no.6
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• pp.965-975
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• 2020

This paper proposes a new framework for the development and deployment of honeypots for evolving malware threats. As new technological concepts appear and evolve, attack surfaces are exploited. Internet of things significantly increases the attack surface available to malware developers. Previously independent devices are becoming accessible through new hardware and software attack vectors, and the existing taxonomies governing the development and deployment of honeypots are inadequate for evolving malicious programs and their variants. Malware-propagation and compromise methods are highly automated and repetitious. These automated and repetitive characteristics can be exploited by using embedded reinforcement learning within a honeypot. A honeypot for automated and repetitive malware (HARM) can be adaptive so that the best responses may be learnt during its interaction with attack sequences. HARM deployments can be agile through periodic policy evaluation to optimize redeployment. The necessary enhancements for adaptive, agile honeypots require a new development and deployment framework.

• International Commerce and Information Review
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• v.6 no.2
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• pp.23-41
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• 2004

Rapid development of computer and telecommunication technology brought out the expansion of electronic commerce which is the new type of business transaction. Offline transaction can lead to problems and disputes the same is for cyberspace transactions. However ADR is not meet for the online transaction for speed, cost and open network system, ODR methods to resolve electronic commerce conflicts is crucial for building confidence and permitting access to justice in an online business environment. And ADR refers to processes other than judicial determination in which an impartial person assists those in a dispute to resolve the issues between them. ODR refers to ADR processes assisted by information technology, particularly the internet. ODR has been available since 1996. Its development can be as passing through three broad stages : hobbyist, experimental, entrepreneurial, institutional phrase. Also, ODR has adapted a range of traditional ADR for use online, including arbitration. mediation. facilitated negotiation and case appraisal. Mediation and arbitration have been the most prevalent forms of ODR. ODR is the burgeoning field and has created a new issues. All such issues which have been debated in the ADR are composed with ODR. But these are not limited. Some of issues are further complicated by the nature of the online environment such as confidentiality and principle of parties. Finally electronic commerce now takes place on the Internet, it is inevitable that the commercial world wants access to dispute resolution process that best suits the new commercial environment. ODR methods are processing for development and legal issues are considered by both national and international authorities.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.321-328
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• 2019

The purpose of the study is to analyze the main approaches to assessing human capital and develop proposals for its most objective assessment of it at the different levels of manifestation - individual, microeconomic and macroeconomic. The article considers the basic approaches to the evaluation of human capital, used in practice: retrospective (costly) and prospective (income based). Cost based methods involve measuring the value of human capital based on the total costs associated with its formation. The proposed additional evaluation criteria, in particular, the use of the expert approach and the developed indicators of a qualitative assessment of the human capital of the enterprise will allow development that is more efficient and use of available human resources. Human capital is becoming a major factor in the formation and development of an innovative economy and knowledge economy. Accordingly, the proposed additions to the assessment of human capital at the country level are aimed at assessing it from a new angle, taking into account the current global trends in the formation of an innovative economy and digitalization. They meet qualitatively new requirements for human capital as the main productive factor in the creation of new highly efficient technologies that promote the active development of the social sphere, science, education, health, etc.

• Communications for Statistical Applications and Methods
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• v.26 no.1
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• pp.1-9
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• 2019

Various probabilistic methods have been proposed for using interpopulation allele frequency differences to infer the ethnic group of a DNA specimen. The selection of the statistical method is critical because the accuracy of the statistical classification results vary. For the ancestry classification, we proposed a new ancestry evaluation method that estimate the combined ethnicity index as well as compared its performance with various classical classification methods using two real data sets. We selected 13 SNPs that are useful for the inference of ethnic origin. These single nucleotide polymorphisms (SNPs) were analyzed by restriction fragment mass polymorphism assay and followed by classification among ethnic groups. We genotyped 400 individuals from four ethnic groups (100 African-American, 100 Caucasian, 100 Korean, and 100 Mexican-American) for 13 SNPs and allele frequencies that differed among the four ethnic groups. Additionally, we applied our new method to HapMap SNP genotypes for 1,011 samples from 4 populations (African, European, East Asian, and Central-South Asian). Our proposed method yielded the highest accuracy among statistical classification methods. Our ethnic group classification system based on the analysis of ancestry informative SNP markers can provide a useful statistical tool to identify ethnic groups.