Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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2000.05a
/
pp.50-55
/
2000
The United States has had the superiority in the global trading market, and focused on the deregulation, decentralization, and often competitiveness. Also, it has adhered to pluralistic and uncoordinated systems for its various standard related activities. But with the WTO TBT entering into force late in 1990s, international standards have become more important in the global telecommunication market. So it has been recognized that the progressive standard activity would lead to keep the superiority of the nation in global telecommunication market. Specially, as the EU has been most active in building an agreed-upon technical standards among Its members, the US has faced with a serious problem that it has lack of agreed-upon infrastructure for standards. Hence, to keep the leadership in international telecommunications market, now it has been focusing on the national approach to standardization activities through the governmental support. For the implementation of above purposes, it amended 2 Acts. One is the Telecommunication Act of 1996. The other is NTTAA(National Technology Transfer and Advancement Art) of 1996, which was enacted according to the 1995 report "Standards, Conformity Assessment, and Trade into the 21 Century" by )TRC(National Research Council). In this paper, we analyse the US legal system in telecommunication standardization field including above arts and their Implementing plans. And we suggest the need for the active system of government in our telecommunication standardization.
Kim, MeeKyung;cho, Byung-Hoon;Kim, Dong-Gyu;Yun, Seon Jong;Lim, Chae-Mi;Park, Su-Jeong;Kim, Heuijin;Kim, Yeon Hee;Kim, Soo-Yeon;Yun, So Mi;Kwon, Jin-Wook;Son, Seong-Wan;Chung, Gab-Soo;Lee, Joo-Ho;Kang, Mun-Il
Korean Journal of Veterinary Research
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v.46
no.4
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pp.295-304
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2006
Residual materials such as veterinary drugs, environmental contaminants, and pesticides are affecting food safety. High resolution techniques and quality controls are needed to analyze these materials from part per million to part per trillion quantities in food. In order to achieve quality results, standardized methods and techniques are required. Our laboratories were prepared to obtain a certificate of accreditation for ISO/IEC 17025 in the analytical criteria of animal drugs, dioxins, pesticides, and heavy metals. ISO together with IEC has built a strategic partnership with the World Trade Organization with the common goal of promoting a free and fair global trading system. ISO collaborates with the United Nations Organization and its specialized agencies and commissions, particularly those involved in the harmonization of regulations and public policies including the World Health Organization and CODEX Alimentarius for food safety measurement, management and traceability. Our goal was to have high quality analysts, proper analytical methods, good laboratory facilities, and safety systems within guidelines of ISO/IEC 17025. All staff members took requirement exams. We applied proficiency tests in the analysis of veterinary drugs (nitrofuran metabolites, sulfonamide and tetracyclines), dioxins, organophosphorus pesticides, and heavy metals (Cd, Pb, As) to the Food Analysis Performance Assessment Scheme (FAPAS) at Central Science Laboratory, Department for Environment Food and Rural Affairs (DEFRA), England. The results were very satisfactory. All documents were prepared, including system management, laboratory management, standard operational procedures for testing, reporting, and more. The criteria encompassed the requirements of ISO/IEC 17025:1999. Finally, the Korea Laboratory Accreditation Scheme (KOLAS) accredited our testing laboratories in accordance with the provisions of Article 23 of the National Standards Act. The accreditation will give us the benefit of becoming a regional reference laboratory in Asia.
The Total Pollutant Load Management System(TPLMS) in the Han River basin is being changed from a voluntary to a mandatory system. Accordingly, this study suggests directions and priorities for research that can support implementation of TPLMS through an objective approach that deploys gap analysis and analytic hierarchy processes (AHP). Gap analysis indicated that TPLMS in Korea is still focused on compliance with regulations, and that implementation of TPLMS is still in its early stage. Improvements are thus needed in flexibility and effectiveness, including introduction of emissions rights trading, and upgrading to a renewable emissions permit system. The AHP study indicated that R&D will need to proceed in parallel in multiple areas to improve systems and resolve scientific uncertainties. Balanced R&D will be needed in both the institutional and technical groups. Subgroup analysis indicated that developing a reasonable process to establish water quality management targets is of the highest priority in the institutional group. In the technical group, higher priority will need to be given to improving model reliability and developing innovative pollution load reduction technologies.
This research suggests for efficient operation of the e-commerce guarantee financing system in domestic industries by reviewing the definition, current situation and problems of the e-commerce guarantee financing system in operation since 2001. Throughout the 10 years of the e-commerce guarantee financing system's implementation, technological development has solved many previously concerning factors. The goal of the study is to resolve the current issues of the e-commerce guarantee financing system and offer means by which to expand the accessibility of the system to domestic industries and further assistance to firms already using the system. One of the primary policies supported by the research is the reallocation of funds from archaic means of exchanging finances to the modem e-commerce guaranteed financing methods because of the increased transparency of the trading. Specifically, the funding operated by government guarantee agencies requires systematic promotion, justifying subsidies and tax breaks to companies that are using e-commerce guarantee financing because of the increased overall transparency. In addition, the benefits of e-commerce guarantee financing as a means of funding are numerous: the promotion of good business, relaxation of credit ratings for company loans, construction of the mobile operating system for small businesses, and creation of policy flexibility in operating fund agencies run by government. Future research areas include continued collection and analysis of the above data provided and new market feedback such as direct poll surveys of the operating staff in companies using e-commerce guarantee financing agencies.
This paper is intended to suggest benchmarking ascension for the Gwangyang Port as a hub for international logistics. Most countries that seek to join. and lead, the global trading system as they work to develop production and logistics systems that establish a reputation for leadership in international logistics. Our focus in this research is on the Gwangyang Port and whether Gwangyang Port is capable of carving out a competitive niche as a hub of international logistics. Our analysis is based on comparison and analysis with benchmark port developments around the world. As proposals to promote and activate Gwangyang Port as a hub for international logistics, we recommended in this paper several benchmarks. First, Gwangyang Port FTZ must strengthen the incentive system for tenant companies and providing an inducement for new global companies. Second, Gwangyang Port needs to moderation of regulation on the investment tenant companies and strengthening one-stop service. Third, it is required to stabilize labor and management relationship and securing of flexibility of labor market. Lastly, Gwangyang Port must strengthen mutual interaction of Free Economic Zone (FEZ), Customs Free Zone(CFZ) and Free trade Zone(FTZ) in Korea.
This study set out to analyze the perceptions of investigative police officers and division police officers regarding Police Investigation Specialization, which had been in effect for four years, identify the problems, and search for alternative policies. The results led to the following alternative policies; first, the communication among the members should be facilitated by trading the jobs between investigative policemen and division members in certain percentage regularly, integrating job education and special work, and developing diverse support programs for detective activities to provide them with opportunities to experience and understand investigation. The second suggestion concerns the investigation members' morale. There should be a range of measures to boost their moral such as allocating separate budget and personnel to support the investigation department and the treatment of major criminal and civil cases, giving each investigation team an office and investigation room to improve their working environment, readjusting the promotion ratio of Police Investigation Specialization to introduce a promotion system proper for each investigation's characteristics. The third suggestion is to secure job efficiency. It's required to reinforce the current short-term specialized education program to bring up practical and professional investigators, open the certification exam of professional investigators to all members so that every policeman can have their abilities recognized and approved as long as they have the demanded capabilities, and create a system of shedding off the members idle at work by reflecting low performance records when evaluating the members to decide who to dismiss from Police Investigation Specialization. And finally, it's important to divide duties rationally. The rationality of duties division can be guaranteed by setting the guidelines for direct handling for the team leader to help him devote himself to his duties, defining objective criteria of measuring investigation workload, and creating devoted systems and teams for simple and small accidents so that experienced investigators can deal with high-profile cases.
The Bollinger Band indicating the current price position in the recent price action range is obtained by adding/substracting the simple standard deviation (SSD) to/from the simple moving average (SMA). In this paper, we first compare the characteristics of the SMA and the exponential moving average (EMA) in the operator's point of view. A basic equation is obtained between the interval length N of the SMA operator and the weighting factor ${\rho}$ of the EMA operator, that makes the centers of the 1st order momentums of each operator impulse respoinse identical. For equivalent N and ${\rho}$, frequency response examples are obtained and compared by using the discrete time Fourier transform. Based on observation that the SMA operator reacts more excessively than the EMA operator, we propose a novel exponential standard deviation (ESD) band centered at the EMA and derive an auto recursive formula for the proposed ESD band. Practical examples for the ESD band show that it has a smoother bound on the price action range than the Bollinger Band. Comparisons are also made for the gap corrected chart to show the advantageous feature of the ESD band even in the case of gap occurrence. Trading techniques developed for the Bollinger Band can be straight forwardly applied to those for the ESD band.
Purpose - This study empirically analyzes the consumer value of risk management associated with illegal, unreported, and unregulated (IUU) fishing of fishery products imported to Korea. The global regulatory paradigm for IUU fishing has shifted from production-centered to market-centered. As a result, changes in the international fisheries trade environment emphasizing "transparency" and "legality" of the production process are accelerating. Therefore, changes in the management systems of fishery products entering the country are also needed. Accordingly, this study estimated the consumer value for risk management of IUU fishing, targeting major fish species imported to Korea, and derived the feasibility of introducing related policies. Design/methodology - This study used the choice experiment as an analysis model to estimate consumers' willingness to pay for the "possibility to check for IUU fishing." The choice experiment assumes that the value of a good or service is composed of separable attributes and that the sum of the part-worth of these individual attributes becomes the total value. In this study, respondents were presented with profiles comprising three attributes (country of origin, price, and possibility of checking IUU fishing) and the levels of frozen poulp squid, the subject of the analysis. The participants were asked to select their preferred profile. The marginal willingness to pay for each attribute was derived from the results of the respondents' choices using conditional logit model estimates. Findings - There is a marked difference in utility based on the preference of the country of origin of fishery products among consumers. In addition, the utility of fishery products that have undergone IUU fishing verification was observed to be higher, with the utility marked to be higher for lower prices. Originality/value - Estimating the policy value of the risk management in IUU fishing of imported fisheries products in this study is a novel attempt that has never been conducted before. Several studies have been conducted to assess the risk of IUU fishing associated with the import of fishery products internationally. However, such studies are yet to be conducted in Korea. Instead, policies and studies have focused on issues related to complying with trading partners' legal and transparent standards for exporting fishery products. This study should be the beginning of more in-depth empirical and theoretical explorations to establish order in the domestic seafood market and respond to changes in international regulations on IUU fishing.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference
/
2021.10a
/
pp.582-583
/
2021
As the production of new and renewable energy such as solar and wind power has diversified, microgrid systems that can simultaneously produce and consume have been introduced. . In general, a decrease in electricity prices through solar power is expected in summer, so producer protection is required. In this paper, we propose a transparent and safe gift power transaction system between users using blockchain in a microgrid environment. A futures is simply a contract in which the buyer is obligated to buy electricity or the seller is obliged to sell electricity at a fixed price and a predetermined futures price. This system proposes a futures trading algorithm that searches for futures prices and concludes power transactions with automated operations without user intervention by using a smart contract, a reliable executable code within the blockchain network. If a power producer thinks that the price during the peak production period (Hajj) is likely to decrease during production planning, it sells futures first in the futures market and buys back futures during the peak production period (Haj) to make a profit in the spot market. losses can be compensated. In addition, if there is a risk that the price of electricity will rise when a sales contract is concluded, a broker can compensate for a loss in the spot market by first buying futures in the futures market and liquidating futures when the sales contract is fulfilled.
Financial time-series forecasting is one of the most important issues because it is essential for the risk management of financial institutions. Therefore, researchers have tried to forecast financial time-series using various data mining techniques such as regression, artificial neural networks, decision trees, k-nearest neighbor etc. Recently, support vector machines (SVMs) are popularly applied to this research area because they have advantages that they don't require huge training data and have low possibility of overfitting. However, a user must determine several design factors by heuristics in order to use SVM. For example, the selection of appropriate kernel function and its parameters and proper feature subset selection are major design factors of SVM. Other than these factors, the proper selection of instance subset may also improve the forecasting performance of SVM by eliminating irrelevant and distorting training instances. Nonetheless, there have been few studies that have applied instance selection to SVM, especially in the domain of stock market prediction. Instance selection tries to choose proper instance subsets from original training data. It may be considered as a method of knowledge refinement and it maintains the instance-base. This study proposes the novel instance selection algorithm for SVMs. The proposed technique in this study uses genetic algorithm (GA) to optimize instance selection process with parameter optimization simultaneously. We call the model as ISVM (SVM with Instance selection) in this study. Experiments on stock market data are implemented using ISVM. In this study, the GA searches for optimal or near-optimal values of kernel parameters and relevant instances for SVMs. This study needs two sets of parameters in chromosomes in GA setting : The codes for kernel parameters and for instance selection. For the controlling parameters of the GA search, the population size is set at 50 organisms and the value of the crossover rate is set at 0.7 while the mutation rate is 0.1. As the stopping condition, 50 generations are permitted. The application data used in this study consists of technical indicators and the direction of change in the daily Korea stock price index (KOSPI). The total number of samples is 2218 trading days. We separate the whole data into three subsets as training, test, hold-out data set. The number of data in each subset is 1056, 581, 581 respectively. This study compares ISVM to several comparative models including logistic regression (logit), backpropagation neural networks (ANN), nearest neighbor (1-NN), conventional SVM (SVM) and SVM with the optimized parameters (PSVM). In especial, PSVM uses optimized kernel parameters by the genetic algorithm. The experimental results show that ISVM outperforms 1-NN by 15.32%, ANN by 6.89%, Logit and SVM by 5.34%, and PSVM by 4.82% for the holdout data. For ISVM, only 556 data from 1056 original training data are used to produce the result. In addition, the two-sample test for proportions is used to examine whether ISVM significantly outperforms other comparative models. The results indicate that ISVM outperforms ANN and 1-NN at the 1% statistical significance level. In addition, ISVM performs better than Logit, SVM and PSVM at the 5% statistical significance level.
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