• Journal of Internet Computing and Services
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• v.20 no.2
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• pp.9-19
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• 2019

Service and users over the Internet are increasing rapidly. Cyber attacks are also increasing. As a result, information leakage and financial damage are occurring. Government, public agencies, and companies are using security systems that use signature-based detection rules to respond to known malicious codes. However, it takes a long time to generate and validate signature-based detection rules. In this paper, we propose and develop signature based detection rule generation and verification systems using the signature extraction scheme developed based on the LDA(latent Dirichlet allocation) algorithm and the traffic analysis technique. Experimental results show that detection rules are generated and verified much more quickly than before.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.938-941
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• 1995

This paper is concerned with the determination of assembly unit for hull block assembly processes for shipbuilding. In this study,genetic algorithm is adopted for assembly level allocation and assemaly unit is determined by rule-based reasoning. The criteria to detemine assembly unit is to minimize welding operation time for the block assembly.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10a
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• pp.901-905
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• 1992

The manual procedure of drafting engineering design is fast becoming obsolete. One of the important areas in CAPP is to automate tolerance assignment which is encountered in mechanical part design. This paper presents an approach for automating tolerance assignment using CAD database and tolerancing database in CAD drawing. The system is consisted of four major functions feasture extraction, feaure inferencing, rule-based tolerance allocation, and automatic upating. Auto CAD R.II is employed as CAD system and a computer progran is developed by using Auto LISP on PC-386.

• The Journal of Society for e-Business Studies
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• v.17 no.1
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• pp.53-74
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• 2012

This study developed a method for selection of available human resources for incomingjob allocation that considers factors affecting resource performance in the business process management (BPM) environment. For many years, resource selection has been treated as a very important issue in scheduling due to its direct influence on the speed and quality of task accomplishment. Even though traditional resource selection can work well in many situations, it might not be the best choice when dealing with human resources. Humanresource performance is easily affected by several factors such as workload, queue, working hours, inter-arrival time, and others. The resource-selection rule developed in the present study considers factors that affect human resource performance. We used a Bayesian Network (BN) to incorporate those factors into a single model, which we have called the Bayesian Selection Rule (BSR). Our simulation results show that the BSR can reduce waiting time, completion time and cycle time.

• International Commerce and Information Review
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• v.14 no.3
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• pp.481-511
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• 2012

Incoterms 2010 Rules consist of 11 rules. The 11 rules are presented in "rules for any mode or modes of transport" and "rules for sea and inland waterway transport". The each rule of Incoterms 2010 rules has the guidance note, 10 articles(A1~A10) in relation to the seller's obligations and 10 articles(B1~B10) in relation to the buyer's obligations. The A6 and B6 of Incoterms 2010 rules, likewise previous Incoterms rules, have the article of allocations of costs. These articles of Incoterms 2010 rules provide the allocation of costs between the seller and the buyer. According to These A6 and B6, in principle, the seller must pay all costs relating to the goods until they have been delivered in accordance with A4, and the buyer must pay all costs relating to the goods from the time they have been delivered as envisaged in A4. The purpose of this paper is, therefore, to analyze the clauses of allocation of costs in Incoterms 2010 and to provide the problems of the clauses.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.3
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• pp.485-499
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• 1999

Auctions are appealing market-type mechanisms because they can be deployed to solve the twin problems of resources pricing and allocation. Nonetheless the effectiveness of an auction mechanism in radio spectrum property rights should not be taken for granted. Policymakers need to be aware of the complexity of introducing market discipline in an area where none existed before. Auction design is critical to the success of the allocation process. However, a poorly designed auction mechanism can have detrimental effects on the spectrum rights allocation process. This study discusses some of the key elements and issues of auction design of radio spectrum rights for its efficient allocation. Particularly this study discusses, based on the existing auction theory and other countries' experiences, such issues as bidding rule, value interdependency and sequence of auction, information structure and asymmetric bidder, and wealth constraints and imperfect capital market.

• Environmental and Resource Economics Review
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• v.31 no.4
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• pp.733-753
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• 2022

Korean government established the Nationally Determined Contribution (NDC) in 2015. After revising in 2019, the government updated an enhanced target at the end of last year. When the NDC is addressed, the emission targets of each sector, such as power generation, industry, and buildings, are also set. This paper analyzes the emission target of each sector by applying a claims problem or bankruptcy problem developed from cooperative game theory. The five allocation rules from a claims problem are introduced and the properties of each rule are considered axiomatically. This study applies the five rules on allocating carbon emission by sector under the NDC target and compares the results with the announced government target. For the power generation sector, the government target is set lower than the emissions allocated by the five rules. On the other hand, the government target for the industry sector is higher than the results of the five rules. In other sectors, the government's targets are similar to the results of the rule that allocates emissions in proportion to each claim.

• Journal of Korea Water Resources Association
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• v.39 no.5 s.166
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• pp.431-440
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• 2006

Recently, water conflicts are rapidly increasing and more serious. So, it needs to establish the reasonable water allocation rules and criteria. This study aims at performing inter-sectoral water allocation with a focus on economic effciency and social utility. To allocate water among the sectoral water uses, water shortage damage functions were estimated and then converged to the utility functions. Finally, each sectoral water uses are allocated by applying 'law equimarginal utility' to maximize social utility. Also weighting factor which reflects scale and characteristic of water demand in a region was estimated to perform the inter-regional water allocation. The water allocation rule was applied to the future water-deficit situation in Han-river basin. As a result, domestic water use was allocated more sufficient agricultural and industrial water use. Also, the water shortage occurs severely in the rural area like Gangwon-do because of its low urbanization and industrialization. This study suggests a alternative view of the economic water allocation which have difficulty under water supply mechanism in Korea.

• Journal of Korean Port Research
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• v.15 no.1
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• pp.37-46
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• 2001

Fuzzy logic control(FLC) is composed of three parts : fuzzy rule-bases, membership functions, and scaling factors. Well-defined fuzzy rule-base should contain proper physical intuition on the plant, so are needed lots of experiences of the skillful expert. When membership functions are considered, some parameters on the memberships function such as function shape, support, allocation density should be selected well. The rule of scaling factors is 'scaling'(amplifying or reducing) for both input and output signals of the FLC to fit in the membership function support and to operate the plant intentionally. To get a better performance of the FLC, it is necessary to adjust the parameters of the FLC. In general, the adaptation of the scaling factors is the most effective adjustment scheme, compared with that of the fuzzy rule-base or membership function parameters. This study proposes the adaptation scheme of the scaling factors. When the adaptation is performed on-line, the stability of the adaptive FLC should be guaranteed. The stable FLC system can be designed with stability analysis in the sense of Lyapunov stability. To adapt the scaling factors for the error signals, the concept of the conventional MRAC would be introduced into slightly modified form. A tracking accuracy of the control system would be enhanced by the modified shape and support of the membership function. The simulation is achieved on the pilot plant with the hydraulic steering control of a UCT(Unmanned Container Transporter) of which modeling dynamics have lots of severe uncertainties and modeling errors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.10
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• pp.4214-4230
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• 2020

This paper introduces a pilot allocation scheme for massive MIMO systems based on deep convolutional neural network (CNN) learning. This work is an extension of a prior work on the basic deep learning framework of the pilot assignment problem, the application of which to a high-user density nature is difficult owing to the factorial increase in both input features and output layers. To solve this problem, by adopting the advantages of CNN in learning image data, we design input features that represent users' locations in all the cells as image data with a two-dimensional fixed-size matrix. Furthermore, using a sorting mechanism for applying proper rule, we construct output layers with a linear space complexity according to the number of users. We also develop a theoretical framework for the network capacity model of the massive MIMO systems and apply it to the training process. Finally, we implement the proposed deep CNN-based pilot assignment scheme using a commercial vanilla CNN, which takes into account shift invariant characteristics. Through extensive simulation, we demonstrate that the proposed work realizes about a 98% theoretical upper-bound performance and an elapsed time of 0.842 ms with low complexity in the case of a high-user-density condition.