• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2007.11a
• /
• pp.489-498
• /
• 2007

For better predictions and classifications in customer recommendation, this study proposes an integrative model that efficiently combines the currently-in-use statistical and artificial intelligence models. In particular, by integrating the models such as Association Rule, Frequency Matrix, and Rule Induction, this study suggests an integrative prediction model. The data set for the tests is collected from a convenience store G, which is the number one in its brand in S. Korea. This data set contains sales information on customer transactions from September 1, 2005 to December 7, 2005. About 1,000 transactions are selected for a specific item. Using this data set, it suggests an integrated model predicting whether a customer buys or not buys a specific product for target marketing strategy. The performance of integrated model is compared with that of other models. The results from the experiments show that the performance of integrated model is superior to that of all other models such as Association Rule, Frequency Matrix, and Rule Induction.

• Proceedings of the Korean Information Science Society Conference
• /
• 2011.06a
• /
• pp.302-304
• /
• 2011

Rule based machine learning techniques are very important in our real world now. We can list out some important application which we can apply rule based machine learning algorithm such as medical data mining, business transaction mining. The different between rules based machine learning and model based machine learning is that model based machine learning out put some models, which often are very difficult to understand by expert or human. But rule based techniques output are the rule sets which is in IF THEN format. For example IF blood pressure=90 and kidney problem=yes then take this drug. By this way, medical doctor can easy modify and update some usable rule. This is the scenario in medical decision support system. Currently, Rough set is one of the most famous theory which can be used for produce the rule. LEM2 is the algorithm use this theory and can produce the small set of rule on the database. In this paper, we present an improvement of LEM2 algorithm which incorporates the variable precision techniques.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.7 no.6
• /
• pp.110-120
• /
• 2008

Cognitive Radio (CR) technology is proposed for using the unused spectrum band efficiently because of the spectrum scarcity problems. Spectrum sensing technology is one of the key challenge issues in cognitive radio technologies, which enables unlicensed users to identify and utilize vacant spectrum resource allocated to primary users. In this paper, the cooperative spectrum sensing technologies apply the ITS(Intelligent Transport System) and performance of signal detection analyzes. Then, we utilize the OR-rule and AND-rule for the cooperative signal detection. These data fusion rules improve the performance and reliability of the signal detection.

• The Korean Society of Law and Medicine
• /
• v.10 no.2
• /
• pp.455-492
• /
• 2009

(Background) Recent biotechnological breakthroughs are shedding new lights on various ethical and legal issues about human biological material. Since Rudolph Virchow, a German pathologist, had founded the medical discipline of cellular pathology, issues centering around human biological materials began to draw attention. The issues involving human biological materials were revisited with more attention along with series concerns when the human genome map was finally completed. Recently, with researches on human genes and bioengineering reaping enormous commercial values in the form of material patent, such changes require a society to reassess the present and future status of human tissue within the legal system. This in turn gave rise to a heated debate over how to protect the rights of material donors: property rule vs. no property rule. (Debate and Cases) Property rule recognizes the donors' property rights on human biological materials. Thus, donors can claim real action if there were any bleach of informed consent or a donation contract. Donors can also claim damages to the responsible party when there is an infringement of property rights. Some even uphold the concept of material patents overtaking. From the viewpoint of no property rule, human biological materials are objects separated from donors. Thus, a recipient or a third party will be held liable if there were any infringement of donor's human rights. Human biological materials should not be commercially traded and a patent based on a human biological materials research does not belong to the donor of the tissues used during the course of research. In the US, two courts, Moore v. Regents of the University of California, and Greenberg v. Miami Children's Hospital Research Institute, Inc., have already decided that research participants retain no ownership of the biological specimens they contribute to medical research. Significantly, both Moore and Greenberg cases found that the researcher had parted with all ownership rights in the tissue samples when they donated them to the institutions, even though there was no provision in the informed consent forms stating either that the participants donated their tissue or waived their rights to ownership of the tissue. These rulings were led to huge controversy over property rights on human tissues. This research supports no property rule on the ground that it can protect the human dignity and prevent humans from objectification and commercialization. Human biological materials are already parted from human bodies and should be treated differently from the engineering and researches of those materials. Donors do not retain any ownership. (Suggestions) No property rule requires a legal breakthrough in the US in terms of donors' rights protection due to the absence of punitive damages provisions. The Donor rights issue on human biological material can be addressed through prospective legislation or tax policies, price control over patent products, and wider coverage of medical insurance. (Conclusions) Amid growing awareness over commercial values of human biological materials, no property rule should be adopted in order to protect human dignity but not without revamping legal provisions. The donors' rights issue in material patents requires prospective legislation based on current uncertainties. Also should be sought are solutions in the social context and all these discussions should be based on sound medical ethics of both medical staffs and researchers.

• Nuclear Engineering and Technology
• /
• v.22 no.2
• /
• pp.128-138
• /
• 1990

This paper presents a prototype expert system (ESRCP) for Reactor Coolant Pumps. The purpose of this system is to diagnose RCP failures and to offer corrective operational guides to plant operators. The first symptoms for the diagnosis are the alarms which are related to the RCP domain. Alarm processing is required to find a primary causal alarm when multiple alarms occur. The system performs the alarm processing by rule-based deduction or priority factor operation. To diagnose the RCP failure, the system performs rule-based deduction or Bayesian inference. Various sensor readings are required as symptoms to infer a root cause. When the symptoms are insufficient or uncertain to diagnose accurately, Bayesian inference is performed.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
• /
• v.49
• /
• pp.139-164
• /
• 2011

Traditionally courts have been adopted over the years two standards of dealing with compliance of documents such as strict compliance and substantial compliance and the substantial compliance, which was somewhat less demanding than the strict compliance. However the new guidelines of ICC's international standard banking practice for the examination of documents under documentary credits set up how the UCP is to be applied in practice. The payment obligations of an issuing bank to a beneficiary are independence of the performance or the nonperformance of any contract underlying the letter of credit. However, strictly applying the principle of independence and abstraction could produce unfair results by operating unjustly enrich an unscrupulous beneficiary in case of fraud. Accordingly, when a beneficiary presents complying documents, the issuing bank is bound to honour the presentation unless the fraud rule applies on the facts of the case such as forged or material fraud. If it does, the issuing bank(issuer) needs not pay despite the complying presentation of documents by the beneficiary under the Uniform Commercial Code Article 5-109 and case law in America. However the fraud rule was not addressed in UCP 600. In conclusion, view in terms of legal principle and the court cases is variable and difficult to honour or dishonour the presentation in case of application of the independence principle and fraud rule such as the problems on burden of proof timely, possibility of granting injunction in order to protect against victim for bona fide applicant.

• Journal of Intelligence and Information Systems
• /
• v.9 no.2
• /
• pp.135-154
• /
• 2003

Credit scoring system (CSS) starts from an analysis of delinquency trend of each individual or industry. This paper conducts a research on credit card delinquency of bank customers as a preliminary step for building effective credit scoring system to prevent excess loan or bad credit status. To serve this purpose, we use association rules as a rule generating data mining technique. Specifically, we generate sets of rules of customers who are in bad credit status because of delinquency by association rule mining. We expect that the sets of rules generated by association rule mining could act as an estimator of good or bad credit status classifier and basic component of early warning system.

• KDI Journal of Economic Policy
• /
• v.41 no.4
• /
• pp.1-44
• /
• 2019

The contingent convertible bond (or CoCo) is designed as a bail-in tool, which is written down or converted to equity if the issuing bank is seriously troubled and thus its trigger is activated. The trigger could either be rule-based or discretion-based. I show theoretically that the bail-in is less implementable and that the associated bail-in risk is lower if the trigger is discretion-based, as governments face greater political pressure from the act of letting creditors take losses. The political pressure is greater because governments have the sole authority to activate the trigger and hence can be accused of having 'blood on their hands'. Furthermore, the pressures could be augmented by investors' self-fulfilling expectations with regard to government bailouts. I support this theoretic prediction with empirical evidence showing that the bail-in risk premiums on CoCos with discretion-based triggers are on average 1.13 to 2.91%p lower than CoCos with rule-based triggers.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.14 no.1
• /
• pp.1-7
• /
• 2014

This paper presents a novel method for simultaneously and automatically choosing the nonlinear structures of regressors or discriminant functions, as well as the number of terms to include in a rule-based regression model or pattern classifier. Variables are first partitioned into subsets each of which has a linguistic term (called a causal condition) associated with it; fuzzy sets are used to model the terms. Candidate interconnections (causal combinations) of either a term or its complement are formed, where the connecting word is AND which is modeled using the minimum operation. The data establishes which of the candidate causal combinations survive. A novel theoretical result leads to an exponential speedup in establishing this.

• Journal of the Semiconductor & Display Technology
• /
• v.18 no.1
• /
• pp.74-78
• /
• 2019

As software becomes larger and network technology develops, the management of distributed data becomes more popular. Therefore, it is becoming increasingly important to use blockchain technology that can guarantee the integrity of data in various fields by utilizing existing infrastructure. Blockchain is a distributed computing technology that ensures that servers participating in a network maintain and manage data according to specific agreement algorithms and rules to ensure integrity. As smart contracts are applied, not only passwords but also various services to be applied to the code. In order to reinforce existing research on smart contract applied to the blockchain, we proposed a dynamic conditional rule of smart contract that can formalize rules of smart contract by introducing ontology and SWRL and manage rules dynamically in various situations. In the previous research, there is a module that receives the upper rule in the blockchain network, and the rule layer is formed according to this module. However, for every transaction request, it is a lot of resources to check the top rule in a blockchain network, or to provide it to every blockchain network by a reputable organization every time the rule is updated. To solve this problem, we propose to separate the module responsible for the upper rule into an independent server. Since the module responsible for the above rules is separated into servers, the rules underlying the service may be transformed or attacked in the middleware. Therefore, the security mechanism using TLS and PKI is added as an agent in consideration of the security factor. In this way, the benefits of computing resource management and security can be achieved at the same time.