• The Korean Journal of Community Living Science
• /
• v.20 no.2
• /
• pp.169-180
• /
• 2009

This study was performed to examine the emotion expectations and explanations of four participants(an actor, a recipient, a child observer, and an adult observer) in moral, social-conventional, and personal rule transgression situations. Six vignettes describing the rule transgressions were presented to 200 children who were either five or seven years old. The children were asked to predict and explain each participant's emotions. The children's emotion expectations were different depending on the domain of the rule transgressions and on the type of the participant. The actors were predicted to feel happy during all transgressions, while the recipients and two observers(a child and an adult) were predicted to feel unhappy. The seven-year-old children attributed more happiness to the actors, and more negative affect to the recipients compared to the five-year-olds. This result was inconsistent with the previous findings that older children attributed more happiness to actors. This finding was discussed in relation to the 'happy victimizer'. Some categories of emotion explanations were differentiated according to the domain of rule transgressions. The personal rule transgressions, newly defined and examined in this study, were judged to be less serious than the moral rule transgressions in terms of the intensity of the negative affect.

• KIPS Transactions on Software and Data Engineering
• /
• v.5 no.2
• /
• pp.59-68
• /
• 2016

Context-aware services recognize the context of situation environments of users and provide useful services according to the context for users. Usual rule-based systems can be used for context-aware services with the specified rules that express context information and operations. This paper proposes a light-weight rule engine that minimizes memory consumption for resource-constrained smart things. The rule engine manages rules at the minimum condition level, removes memories for intermediate rule matching results, and uses hash tables to store rules and context information efficiently. The implemented engine is verified using a rule set of a mouse training system and experiment results shows the engines consumes very little memory compared to the existing Rete algorithm with some sacrifice of execution time.

• Journal of Korean Institute of Industrial Engineers
• /
• v.23 no.1
• /
• pp.197-213
• /
• 1997

It is not easy to find a good production schedule which can be used in practice. Therefore, production scheduling simulation with a simple dispatching rule or a set of dispatching rules is used. However, a simple dispatching rule may not create a robust schedule, for the same rule is blindly applied to all internal production processes. The presumption is that there might be a specific combination of appropriate rules that can improve the efficiency of a total production system for a certain type of orders. In order to acquire a better set of dispatching rules, simulation is used to examine the performance of various combinations of dispatching rule sets. There are innumerable combination of rule sets. Hence it takes too much computer simulation time to find a robust set of dispatching rule for a specific production system. Therefore, we propose a concept of the knowledge based simulation to circumvent the problem. The knowledge based simulation consists of knowledge bases, an inference engine and a simulator. The knowledge base is made of rule sets that is extracted from both simulation and human intuition obtained by the simulation studies. For a certain type of orders, the proposed system provides several sets of dispatching rules that are expected to generate better results. Then the scheduler tries to find the best by simulating all proposed set of rules with the simulator. The knowledge-based simulator armed with the acquired knowledge has produced improved solutions in terms of time and scheduling performance.

• The KIPS Transactions:PartD
• /
• v.10D no.1
• /
• pp.33-44
• /
• 2003

XML is the standard for storing and exchanging information in the Web. As the applications of XML become more widespread, the worts on rule-based technology are rapidly going on to support reactive functionality on the XML documents and the XML repositories. Active rules consist of event-condition-action, which automatically perform actions in response to status change of database. Therefore the feature of active rule satisfies the new needs in XML setting. In this paper, we propose not only a XML based active rule language to manage XML document automatically, but also an active rule analysis method to guarantee rule termination. Finally, we demonstrate some examples of active rule defined by the proposed rule language, and also verify the efficiency of our analysis method by comparing with another method.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2001.01a
• /
• pp.431-434
• /
• 2001

Knowledge discovery in databases(KDD) is the process for extracting valid, novel, potentially useful and understandable knowledge form real data. There are many academic and industrial activities with new technologies and application areas. Particularly, data mining is the core step in the KDD process, consisting of many algorithms to perform clustering, pattern recognition and rule induction functions. The main goal of these algorithms is prediction and description. Prediction means the assessment of unknown variables. Description is concerned with providing understandable results in a compatible format to human users. We introduce an efficient data mining algorithm considering predictive and descriptive capability. Reasonable pattern is derived from real world data by a revised neural network model and a proposed fuzzy rule extraction technique is applied to obtain understandable knowledge. The proposed neural network model is a hierarchical self-organizing system. The rule base is compatible to decision makers perception because the generated fuzzy rule set reflects the human information process. Results from real world application are analyzed to evaluate the system\`s performance.

• Korean Journal of Computational Design and Engineering
• /
• v.22 no.1
• /
• pp.1-9
• /
• 2017

This research develops dispatching rule for a wafer FABs with dedication constraints. Dedication, mostly considered in a photolithography step, is a feature in a modern FABs in order to increase the yield of machines and achieve the advance of manufacturing technology. However, the dedication has the critical problem because it causes dedication load of machines to unbalance. In this paper, we proposes the dedication load based dispatching rule for load balancing in order to resolve the problem. The objective of this paper is to balance dedication load of photo machines in wafer FABs with dedication constraint. Simulation experiments show that the proposed rule improves the performance of wafer FABs as well as load balance for dedication machines compared to open-loop control based conventional dispatching rule.

• Proceedings of the IEEK Conference
• /
• 2000.06e
• /
• pp.55-58
• /
• 2000

Previous works using a Multi-population Genetic Algorithm have divided chromosome into two components, rule sets and membership functions. However, in this case bad rule sets disturb optimization in good rule sets and membership functions. A new method for a Multi-population Genetic Algorithm suggests three components, good rule sets, bad rule sets, and membership functions. To show the effectiveness of this method, fuzzy controller is applied in a Truck Backing Problem. Results of the computer simulation show good adaptation of the proposed method for a Multi-population Genetic Algorithm.

• Proceedings of the IEEK Conference
• /
• 2002.06a
• /
• pp.319-322
• /
• 2002

In this paper, we consider a generalized rule of retransmission request, identified as (Μ, $\sigma$) rule for multicopy transmission ARQ. Following a revised rule to conform with a strict criterion for requesting a retransmission, we can reduce the probability that a packet accepted by the receiving node is still being infected with errors. In turn, such amendment invokes a degradation of delay and throughput performance. For a quantitative evaluation of (Μ, $\sigma$) rule, we develop an analytical method to calculate probability of error remains, maximum throughput, average and peak delays, and delay variation. From the numerical examples made by use of the analytical method, we observe a performance trade-off between probability of error remains and delay/throughput. We also confirm the adaptability of (Μ, $\sigma$) rule to meet various QoS requirements.

• Journal of the Korean Mathematical Society
• /
• v.41 no.6
• /
• pp.957-976
• /
• 2004

It is well known that the application of the nonlinear coordinate transformations is useful for efficient numerical evaluation of weakly singular integrals. In this paper, we consider the trapezoidal rule combined with a nonlinear transformation $\Omega$$_{m}$(b;$\chi$), containing a parameter b, proposed first by Yun [14]. It is shown that the trapezoidal rule with the transformation $\Omega$$_{m}$(b;$\chi$), like the case of the Gauss-Legendre quadrature rule, can improve the asymptotic truncation error by using a moderately large b. By several examples, we compare the numerical results of the present method with those of some existing methods. This shows the superiority of the transformation $\Omega$$_{m}$(b;$\chi$).TEX>).

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.12 no.2
• /
• pp.193-200
• /
• 2008

Cohesive and frictional materials such as concrete and soil are pressure dependent. In general, failure criterion for such materials inclined with respect to positive hydrostatic axis in Haigh-Westergaard stress space. Consequently, inelastic volumetric strain always positive with associated flow rule. In this study, to overcome this shortcoming, non-associated flow rule which controls volumetric component of plastic flow is adopted. Numerical analysis based on a constitutive model using nonuniform hardening plasticity with five parameter failure criterion and non-associated flow rule has conducted to predict concrete behavior under multi-axial stress state and verified with experimental result.