• Smart Structures and Systems
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• v.23 no.4
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• pp.393-403
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• 2019

Applying more features gives us better accuracy in modeling; however, increasing the inputs causes the curse of dimensions. In this paper, a new structure has been proposed for fault detecting and identifying (FDI) of high-dimensional systems. This structure consist of two structure. The first part includes Auto-Encoders (AE) as Deep Neural Networks (DNNs) to produce feature engineering process and summarize the features. The second part consists of the Local Model Networks (LMNs) with LOcally LInear MOdel Tree (LOLIMOT) algorithm to model outputs (multiple models). The fault detection is based on these multiple models. Hence the residuals generated by comparing the system output and multiple models have been used to alarm the faults. To show the effectiveness of the proposed structure, it is tested on single-shaft industrial gas turbine prototype model. Finally, a brief comparison between the simulated results and several related works is presented and the well performance of the proposed structure has been illustrated.

• International Journal of Computer Science & Network Security
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• v.23 no.1
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• pp.11-16
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• 2023

Vehicular networks are part of the next generation wireless and smart Intelligent Transportation Systems (ITS). In the future, autonomous vehicles will be an integral part of ITS and will provide safe and reliable traveling features to the users. The reliability and security of data transmission in vehicular networks has been a challenging task. To manage data transmission in vehicular networks, road networks are divided into clusters and a cluster head is selected to handle the data. The selection of cluster heads is a challenge as vehicles are mobile and their connectivity is dynamically changing. In this paper, a novel secure cluster head selection algorithm is proposed for secure and reliable data sharing. The idea is to use the secrecy rate of each vehicle in the cluster and adaptively select the most secure vehicle as the cluster head. Simulation results show that the proposed scheme improves the reliability and security of the transmission significantly.

• Journal of Veterinary Clinics
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• v.39 no.1
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• pp.23-27
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• 2022

An 11-year-old spayed female Maltese dog presented with mass in oral cavity. On conscious oral examination, the right maxillary canine tooth was not visible, and a lesion has been suspected of mass existed in canine tooth area. The adjacent maxillary first premolar was buried in the lesion, with a little part of the tooth exceptions. On radiographic examination, the canine tooth was buried horizontally in the lesion, and the root part was adjacent to the first premolar tooth. Extraction was performed for a treatment. When the lesion was incised, the canine tooth was horizontal with the concave surface facing the palatal, and formed double teeth by fusing with the premolar tooth at the roots parts of the teeth. This report described the double teeth in the dentigerous cyst rarely reported in dogs.

• Electric Engineers Magazine
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• s.311
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• pp.23-29
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• 2008

이 규격은 2006년에 제1판으로 발행된 IEC 62305-1, Protection against lightning-Part 1 : General principles을 기술적인 내용과 규격의 양식을 변경하지 않고 한국산업규격으로 제정한 것이다.

• Electric Engineers Magazine
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• s.324
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• pp.23-29
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• 2009

이 규격은 2006년에 제1판으로 발행된 IEC 62305-1, Protection against lightning-Part 1 : General principles을 기술적인 내용과 규격의 양식을 변경하지 않고 한국산업규격으로 제정한 것이다.

• Honam Mathematical Journal
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• v.28 no.1
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• pp.23-29
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• 2006

Neutral subtraction algebras and neutral ideals are introduced, and related properties are investigated.

• Proceedings of the KWS Conference
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• 2003.11a
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• pp.21-23
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• 2003

• Magazine of korean Tunnelling and Underground Space Association
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• v.23 no.1
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• pp.44-60
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• 2021

• Journal of Korean Institute of Industrial Engineers
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• v.24 no.1
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• pp.23-35
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• 1998

This article presents a network flow analysis to form flexible machine cells with minimum intercellular part moves and a neural network model to form part families. The operational sequences and production quantity of the part, and the number of cells and the cell size are taken into considerations for a 0-1 quadratic programming formulation and a network flow based solution procedure is developed. After designing the machine cells, a neural network approach for the integration of part families and the automatic assignment of new parts to the existing cells is proposed. A multi-layer backpropagation network with one hidden layer is used. Experimental results with varying number of neurons in hidden layer to evaluate the role of hidden neurons in the network learning performance are also presented. The comprehensive methodology developed in this article is appropriate for solving large-scale industrial applications without building the knowledge-based expert rule for the cellular manufacturing environment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.58
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• pp.17-27
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• 2000

In FMS where tool movement policy is adopted, a mathematical model has been developed which determines the selection of a tool type for each operation and tool loading-part assignment simultaneouly. The objective is to minimize the total cost of operation including machining time cost, tool cost, tool replacement and loading time cost, and tool change time cost. Due to the complexity of the problem, an approximate solution procedure has been developed utilizing the special structure of the model. Tool selection was determined first to allocate one tool type to each operation considering more than one tool type alternatives for each operation. Tool loading-part assignment was determined to minimize tile total number of tool changes due to part mix based on the tool selection.