• East Asian Economic Review
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• v.25 no.3
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• pp.233-272
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• 2021

The Regional Comprehensive Economic Partnership (RCEP) agreement, signed in November 2020, comes shortly after the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) entered into force and the US-China Trade War escalated. We use a computable general equilibrium model to assess the long-term effects of these three developments on income, trade, economic structure, factor returns and employment across the world, and especially in Asia-Pacific countries. The results suggest that RCEP could generate income gains that will be almost twice as large as those of the CPTPP, and that the two agreements together will largely offset the substantial negative effects of the US-China Trade War for the world as a whole. All three policy developments, but especially RCEP, will deepen East Asian production networks and will raise productivity and increase wages and employment in much of East Asia. At the sectoral level, regional trade in non-durable and durable manufactures will experience the most growth.

• Journal of Arbitration Studies
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• v.33 no.3
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• pp.107-128
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• 2023

International arbitration is a widely preferred alternative dispute resolution mechanism for many desirable characteristics, such as, party autonomy, procedural flexibility, ability of parties to select their arbitrators, as well as, finality of arbitral awards, among others. However, because arbitral tribunals derive their authority and jurisdiction from the parties' agreement(s) to arbitrate their dispute(s), arbitral tribunals lack coercive powers that national courts have. At times, arbitral tribunals have to deal with circumstances of non-production and/or spoliation of evidence, and due to the lack of coercive authority, it may be challenging to compel such recalcitrant parties to produce the relevant evidence and/or witnesses. Therefore, adverse inferences drawn against the recalcitrant parties may be the most effective sanctions. This article explores the sources of authority for arbitral tribunals to make such adverse inferences and argues for a precise set of rules or standard to be consistently applied by the arbitral tribunals in order to increase predictability in arbitral proceedings. Additionally, some of the critical issues when considering adverse inferences as sanctions are discussed.

• Journal of Forest and Environmental Science
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• v.29 no.1
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• pp.58-70
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• 2013

Iriai an Indigenous forest management system in Japan from the viewpoint of "common pool resources" was a success resilient institution and resulted with sustainable production system and environmental conservation. This study was conducted in Osawa of the Nagano prefecture through group discussions, field observations and an in-depth field survey. Osawa Property Ward Forest is managed under the concept very much similarly to traditional "Iriai". This study firstly examined the changes of collective forest management system in terms of awareness and interest in forest management; forest management activities; role of forest; and collection of forest products. Then it analyzed the current threats for collective forest management have been identified as: land abandonment due to loss of benefits and lack of active community participation; deterioration of forest environment particularly the micro-climate and aesthetic values; conflict with local government authorities restraining the use of money in property ward forest and conflict with outsiders on damping of the garbage. Community cantered forestry management rules; livelihood contribution; protection of environment; local initiatives for protection and economic activities are the prevailing opportunities for collective forest management. The main requirements for revitalization of collective forest management are explained as local reciprocity; imposition of community based forest rules; encouraging local innovations; and building partnerships with stakeholders. Collective forest management system addresses the limitations of conventional forestry models, which had invalidated traditional 'iriai' institutions, and key to restoring sustainable use of forest and environmental resources. Cross-institutional collaborations together with responsibilities of local communities would ensure the revitalization of forest resources.

• The KIPS Transactions:PartB
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• v.9B no.3
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• pp.263-270
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• 2002

Most conventional systems of fire fighting control in a ship have been based on rule-based system in which expert knowledges are expressed with production rules. Renewing and adding of rules is needed continuously for the improvement of the system capability in an already build-up system and such adding and renewing procedures could hinder users from fluent utilization of a system. The author proposes an advanced fire fighting control intelligent system (A-FFIS) using rule-based and carte-based reasoning by clustering to implement conventional hybrid system (H-FFIS). Compared with H-FFIS, new approach with A-FFIS shows that the system proposed here improves fire detection rate and reduces fire detection time.

• Journal of Korean Society of Archives and Records Management
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• v.16 no.4
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• pp.121-148
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• 2016

MSR identifies that records are key factors in achieving the goals of an organization and that records management is part of the business administration. Therefore, organizations could secure accountability and continuity of works through the activities of production and management records. This study explored what should be prepared to adopt MSR in public institutions based on the analysis of the requirements of the ISO 30301. which is prepared to be utilized as a certificate system. It focuses on 1) how laws could be supplemented to adopt MSR by comparing the requirements of MSR and the Public Records Management Act; 2) what should be prepared by organizations in terms of their rules and procedures; and 3) how the evaluation system of public institutions and the records management evaluation system could be revised to ensure that MSR will be sufficiently implemented in the organizations. In conclusion, the part to be supplemented by the law, the area to be operated as the internal rules of the organizations, and the way to be reflected in the evaluation of the public institutions were suggested.

• Korean Journal of Child Studies
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• v.6 no.1
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• pp.17-40
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• 1985

This study investigated Korean children's early acquisition of negatives and focused on four research questions: 1) processing of negative variations; 2) the nature of negatives when negatives are completely acquired in Korean (in which meaning and form are matched in one to one mapping); 3) the validity of Bellugi's negative acquisition model in Korean; and 4) the cause of child's erroneous sentence production: limited ability or regularity in children's cognition. The language data of the five subjects (age span; 1.1 - 3.11) were collected by their parents in the natural setting of the home. The results showed that 1) the pivot form, was processed in many ways from a simple to a complicated form, such as <(X+X')+N> <(x+x')+N,Y> <(x+x') N,(y+y')>. It appeared that the children used a simple negative format to reach a one-step advanced negative format. 2) Korean negatives are divided into range of negation in the negative sentence (part or whole), strength of negation (absolute or general), functions of meaning (negation, absences, refusal, prohibition, impossibility). All five children acquired negative sentences in all functions and the complete range after 3 years of age. 3) In spite of the differences in age level, Bellugi's four stage model was in evidence; that is, Korean children's negative acquisition was almost identical with Bellugi's tour stage model in deep structure. 4) Analyses of children's error sentences showed that the sentences with errors were made not because of the children's limitation in cognitive ability but because of the strict application of regularity of rules from the original grammars. Consequently, the children produced negative sentences using two rules: the rule of additive complexity (from simple to complex) and the rule of division (from one to several).

• Convergence Security Journal
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• v.15 no.6_2
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• pp.37-44
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• 2015

There appears a variety forms of crime type and age in accordance with the change of social structure. In this paper it is described for combining the Anomie theory of Emile Durkheim. Anomie refers to the absence of dual standards or norms. In other words, while weakening the existing norms prevailing when the new rules has not been established. That situation would cause social chaos. Rules on the dissemination and utilization of SNS due to the development of information and communication technology undermine the social norms while online regulations are being a weak state not established. In the confusion of these norms it has been shown to increase in juvenile delinquency. Social media has characteristics such as openness, accessibility, relationships, and content diversity. The social media itself is not subject to the general mechanisms of consumption and production due to growing as a kind of organism. It has characteristic to make the most content by utilizing the users to voluntarily share information. Social media using as communication, contact and information in the youth, thus the possibility of crime is high. Social media is also direct and indirect influence on youth crime but no apparent systemic regulation of this situation.

• 수도
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• v.24 no.5 s.86
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• pp.29-44
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• 1997

Sewage sludge produced in Korea was 1,275,800 tons (dewatered sludge cake) per year in 1996, which is 3,495 tons per day, 0.303% of 11,526,100 tons per day of sewage treated in 79 sewage treatment plants. Sludge production has been and will be increasing in accordance with construction of new facilities for sewage treatment. Most of the sludge is currently disposed by landfill and ocean dumping, but it is becoming difficult to find suitable sites for landfill, particularly in big cities such as Seoul. In addition, rapid increase of landfill cost is anticipated in a near future. Current trend for sludge disposal in advanced countries is land application. Over the past 10 to 20 years in the United States, sludge management practices have changed significantly, moving from disposal to beneficial use. They use biosolid for utilization instead of sludge for disposal. Under the Clean Water Act of 1972, amended in 1987 by Congress, the U.S. EPA was required to develop regulations for the use and disposal of sewage sludge. The EPA assessed the potential for pollutants in sewage sludge to affect public health and the environment through a number of different routes of exposure. The Agency also assessed the potential risk to human health through contamination of drinking water sources or surface water when sludge is disposed on land. The Final Rules were signed by the EPA Administrator and were published (Federal Register, 1993). These rules state that sewage sludge shall not be applied to land if the concentration of any pollutant in the sludge exceeds the ceiling concentration. In addition, the cumulative loading rate for each pollutant shall not exceed the cumulative pollutant loading rate nor should the concentration of each pollutant in the sludge exceed the monthly average concentration for the pollutant. The annual pollutant loading rate generally applies to applications of sewage sludge on agricultural lands. The most popular beneficial use of sewage sludge is land application. The sludge has to be stabilized for appling to land. One of the stabilization process for sewage sludge is lime stabilization process. The stabilization process is consisted of the stabilizing process and the drying process. Stabilization reactor can be a drum type reactor in which a crossed mixer is equipped. The additive agents are a very reactive mixture of calcium oxide and others. The stabilized sludge is dried in sun drier or rotary kiln.

• Journal of the Korean Institute of Intelligent Systems
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• v.6 no.2
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• pp.81-89
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• 1996

A design method of fuzzy modeling is presented for the model identification of route choice of traffic problems.The proposed fuzzy modeling implements system structure and parameter identification in the eficient form of""IF..., THEN-.."", using the theories of optimization theory, linguistic fuzzy implication rules. Three kinds ofmethod for fuzzy modeling presented in this paper include simplified inference (type I), linear inference (type 21,and proposed modified-linear inference (type 3). The fuzzy inference method are utilized to develop the routechoice model in terms of accurate estimation and precise description of human travel behavior. In order to identifypremise structure and parameter of fuzzy implication rules, improved complex method is used and the least squaremethod is utilized for the identification of optimum consequence parameters. Data for route choice of trafficproblems are used to evaluate the performance of the proposed fuzzy modeling. The results show that the proposedmethod can produce the fuzzy model with higher accuracy than previous other studies -BL(binary logic) model,B(production system) model, FL(fuzzy logic) model, NN(neura1 network) model, and FNNs (fuzzy-neuralnetworks) model -.fuzzy-neural networks) model -.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.2
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• pp.56-64
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• 2018

In recent years, imbalanced data is one of the most important and frequent issue for quality control in industrial field. As an example, defect rate has been drastically reduced thanks to highly developed technology and quality management, so that only few defective data can be obtained from production process. Therefore, quality classification should be performed under the condition that one class (defective dataset) is even smaller than the other class (good dataset). However, traditional multi-class classification methods are not appropriate to deal with such an imbalanced dataset, since they classify data from the difference between one class and the others that can hardly be found in imbalanced datasets. Thus, one-class classification that thoroughly learns patterns of target class is more suitable for imbalanced dataset since it only focuses on data in a target class. So far, several one-class classification methods such as one-class support vector machine, neural network and decision tree there have been suggested. One-class support vector machine and neural network can guarantee good classification rate, and decision tree can provide a set of rules that can be clearly interpreted. However, the classifiers obtained from the former two methods consist of complex mathematical functions and cannot be easily understood by users. In case of decision tree, the criterion for rule generation is ambiguous. Therefore, as an alternative, a new one-class classifier using hyper-rectangles was proposed, which performs precise classification compared to other methods and generates rules clearly understood by users as well. In this paper, we suggest an approach for improving the limitations of those previous one-class classification algorithms. Specifically, the suggested approach produces more improved one-class classifier using hyper-rectangles generated by using Gaussian function. The performance of the suggested algorithm is verified by a numerical experiment, which uses several datasets in UCI machine learning repository.