• International journal of advanced smart convergence
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• v.8 no.2
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• pp.94-101
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• 2019

Building a stable knowledge base is an important issue in the application of knowledge engineering. In this paper, we present an algorithm for detecting and locating discrepancies in the line of the reasoning process especially when discrepancies occur on belief values. This includes backtracking the rule firing from a goal node of the rule network. Retracting a belief function allows the current belief state to move back to another belief state without the rule firing. It also gives an estimate, called contribution measure, of how much the rule has an impact on the current belief state. Examining the measure leads the expert to locate the possible cause of problem in the rule. For non-monotonic reasoning, the belief retraction method moves the belief state back to the previous state. A tracing algorithm is presented to identify and locate the cause of problem. This also gives repair suggestions for rule refinement.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.9
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• pp.2314-2333
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• 2023

It is significant to predict the performance degradation of complex electromechanical systems. Among the existing performance degradation prediction models, belief rule base (BRB) is a model that deal with quantitative data and qualitative information with uncertainty. However, when analyzing dynamic systems where observable indicators change frequently over time and working conditions, the traditional belief rule base (BRB) can not adapt to frequent changes in working conditions, such as the prediction of aeroengine performance degradation considering working condition. For the sake of settling this problem, this paper puts forward a new hidden belief rule base (HBRB) prediction method, in which the performance of aeroengines is regarded as hidden behavior, and operating conditions are used as observable indicators of the HBRB model to describe the hidden behavior to solve the problem of performance degradation prediction under different times and operating conditions. The performance degradation prediction case study of turbofan aeroengine simulation experiments proves the advantages of HBRB model, and the results testify the effectiveness and practicability of this method. Furthermore, it is compared with other advanced forecasting methods. The results testify this model can generate better predictions in aspects of accuracy and interpretability.

• ETRI Journal
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• v.39 no.4
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• pp.592-604
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• 2017

Intrusion detection is very important for network situation awareness. While a few methods have been proposed to detect network intrusion, they cannot directly and effectively utilize semi-quantitative information consisting of expert knowledge and quantitative data. Hence, this paper proposes a new detection model based on a directed acyclic graph (DAG) and a belief rule base (BRB). In the proposed model, called DAG-BRB, the DAG is employed to construct a multi-layered BRB model that can avoid explosion of combinations of rule number because of a large number of types of intrusion. To obtain the optimal parameters of the DAG-BRB model, an improved constraint covariance matrix adaption evolution strategy (CMA-ES) is developed that can effectively solve the constraint problem in the BRB. A case study was used to test the efficiency of the proposed DAG-BRB. The results showed that compared with other detection models, the DAG-BRB model has a higher detection rate and can be used in real networks.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.5
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• pp.1186-1207
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• 2024

Bearings are one of the main components of mechanical equipment and one of the primary components prone to faults. Therefore, conducting fault diagnosis on bearings is a key issue in mechanical equipment research. Belief rule base (BRB) is essentially an expert system that effectively integrates qualitative and quantitative information, demonstrating excellent performance in fault diagnosis. However, class imbalance often occurs in the diagnosis task, which poses challenges to the diagnosis. Models with interpretability can enhance decision-makers' trust in the output results. However, the randomness in the optimization process can undermine interpretability, thereby reducing the level of trustworthiness in the results. Therefore, a hierarchical BRB model based on extreme gradient boosting (XGBoost) feature selection with interpretability (HFS-IBRB) is proposed in this paper. Utilizing a main BRB alongside multiple sub-BRBs allows for the conversion of a multi-classification challenge into several distinct binary classification tasks, thereby leading to enhanced accuracy. By incorporating interpretability constraints into the model, interpretability is effectively ensured. Finally, the case study of the actual dataset of bearing fault diagnosis demonstrates the ability of the HFS-IBRB model to perform accurate and interpretable diagnosis.

• Proceedings of the KIEE Conference
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• 2001.11b
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• pp.374-376
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• 2001

In this paper, we developed the fault diagnostic expert system of silicone-immersed transformer using dissolved gas analysis. The knowledge base module consists of the knowledge using the rule: if Then . The inference engine uses the fuzzy rule for the management of uncertainty of the boundary and rule and derivate the Belief and Plausibility of the normality and fault using Dempster-Shafer theory. The expert system is connected to the database and it can manages the history of gas-data of the transformer.

• Journal of the Korea Society of Computer and Information
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• v.6 no.2
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• pp.48-57
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• 2001

In a fuzzy connectionist expert system(FCES), the knowledge base can be constructed of neural logic networks to represent fuzzy rules and their relationship, We call it fuzzy rule inference network. To find out the belief value of a conclusion, the traditional inference strategy in a FCES will back-propagate from a rule term of the conclusion and follow through the entire network sequentially This sequential search strategy is very inefficient. In this paper, to improve the above search strategy, we proposed fuzzy rule inference rule used in a FCES was modified. The proposed adaptive search strategy in fuzzy rule inference network searches the network according to the search priorities.

• Korean Security Journal
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• no.36
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• pp.417-442
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• 2013

This study considers the characteristics of the separation of public and private security service during Koryo dynasty, and compares it with the modern security service. Modern day security service's definition of private and public security service was used to distinguish them. Given the different historical settings, it's difficult to argue that the distinction between public and private service during Koryo dynasty was clear, but it can be said that public security service was centered around palace guard and concerns the activities of protest, and military made for the relationship, and private security service was centered around power of DoBang and includes the activities of malingering, and Byolchogun. During the early days of Koryo, protest, district military and soldiers who stay in the palace were all parts of a palace revolt and this institutional improvement of soldiers who stay in the palace was accomplished during King Seongjong's rule. The tradition of a palace revolt can find its roots in the middle military, and after the unification, a palace revolt was reformed into the king's palace revolt of second and the 6th along the course of establishing the nation's system. All of the changes stem from the reformation for consolidating the royal authority. Gyung Dae Seoung wanted to protect himself and he slept with his army night and days and because of that, group of soldiers was created and it was called DOBANG. Some members were from dobang gyeonryong, The forced were powerful because it was gathered with a warriors with extraordinaire martial arts and competent management. Most of the soldiers followed gyeong dae seung because they believed that he has a strong leadership and loves his people, and had a strong faith in him. However, the general gyeong jang had a belief that politics must be reverted to the previous so the relationships between jungbang wasn't smooth. Because of the economic operational problems, due to fraud committed by the mens under his command failed to maintain integrity and was criticised.The misconception also fed up with the emperor and the deepening relationships between the soldiers, his dobang was dismantled. After he took over the dobang, for his personal safety and to strengthen his position he compensated gyeon dae seong's dobang and developed the organization. In the process of extending the dobang Choi chung heon recruited many talented people to strengthen the military base, and also accepted the advice and expanded the power of Dobang. Choi Chung Heon thus consolidated his political gains by weakening the power of the king's army and adjusting the myth, which could've threatened his regime, and this was called Dobang number 6th. Dobang number six got even more powerful by his son named Choi woo, and after ruling, he expanded into a room, and a substantial reorganization of Dobang was developed. And then the creation of yabyeolcho also showed the effect to prevent the crisis. Although the palace guards who were public security service of Koryo Dynasty was still maintained during the military rule era when the royal authority was incapacitated, it was only maintained to have a symbolic meaning as the actual authority including military power was with Choi, the master of Dobang, private security service group. Likewise, during the rule of Choi, private securty service could reign over public security service, and the noteworthy characteristic of Dobang is that it assisted the private soldier groups to seize the military power by reorganizing and modifying military system. Although both differences and similarities can be found when comparing the guards of Koryo Dynasty with those of contemporary society, they have a similarity in terms of the essence of guards that they guarantee the safety of their clients. As for differences, the royalty of Koryo Dynasty and the pursuit of profit of contemporary society are in contrast, and contemporary guards can be seen as the fulfillment of responsibility and duty by free will, whereas guards of Koryo Dynasty were ruled with military coercion.

• (The)Study of the Eastern Classic
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• no.62
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• pp.9-35
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• 2016

This study examined Songgye Na-sik's(松桂懶湜, 1684~1765) literary world based on Priest Songgye's Anthology(松桂大禪師文集). In consideration of the insufficiencies of the only previous study on Songgye's literature, this study was focused on his ideological character and its historicity, the trend of literary exchange in the Buddhist circle, and the literary geographical aspect of his literature. Priest Songgye was the head of the Bonghwa-sa Temple in Andong during the years under the rule of Kings Sukjong and Yeongjo, and learned from Hwanseong Ji-ahn(喚醒志安, 1664~1729) and Nakam Eui-nul(落巖義訥, 1666~1737). The priest did not have many students under him nor leave numerous writings. In the process of the development of the Buddhist doctrines in the late Joseon Dynasty, however, he completed the scripture learning courses faithfully and laid the ground of his philosophy. In addition, the afterword of Hwaeomgyeongchilcheogupumhoipummok (華嚴經七處九會品目跋) shows that he compiled the book under his teacher's instruction. What is more, he is known to have devoted himself to belief in the Pure Land in his late years. Given these backgrounds, the priest's life, writings, and ideological tendencies pursued all of Zen, Hwaeom, and the Pure Land together, and at the same time, reflected the characteristics of Korean Buddhism in the 18th century. The priest steadily cultivated himself in poetry and established his own literary world, and all the outcomes were fully reflected in his anthology. Priest Songgye walked the road of a learner throughout his lifetime but, on the other hand, he established his identity as a literary man in the specific time and space of Andong, Yeongnam in the late Joseon Dynasty.