• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2004.10a
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• pp.309-314
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• 2004

A flexible disk grinding system process has been introduced that utilized varying disk orientation with respect to workpiece along with the applied feed speed. Various process conditions including cutting speed, maximum feed speed and orientation angles could applied to observe process outcomes. Even though continuous and constant feed speed has been applied to the process, the results from the trapezoidal input velocity profiles would be observed and compared. Based on the control strategies including neural network methodologies, several output results were compared to find the optimum process condition. Two axis control results were displayed showing better performance with higher trajectory error for larger training epoch.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.49 no.8
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• pp.557-564
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• 2000

A very simple control approach using neural network for the robust position control of a Permanent Magnet Synchronous Motor(PMSM) is presented. The linear quadratic controller plus feedforward neural network is employed to obtain the robust PMSM system approximately linearized using field-orientation method for an AC servo. The neural network is trained in on-line phases and this neural network is composed by a feedforward recall and error back-propagation training. Since the total number of nodes are only eight, this system can be easily realized by the general microprocessor. During the normal operation, the input-output response is sampled and the weighting value is trained multi-times by error back-propagation method at each sample period to accommodate the possible variations in the parameters or load torque. In addition, the robustness is also obtained without affecting overall system response. This method is realized by a floating-point Digital Signal Processor DS1102 Board (TMS320C31).

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 1997.10a
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• pp.82-87
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• 1997

This paper presents a new approach to the design of cruise control system of a mobile robot with two drive wheel. The proposed control scheme uses a Gaussian function as a unit function in the fuzzy-neural network, and back propagation algorithm to train the fuzzy-neural network controller in the framework of the specialized learning architecture. It is proposed a learning controller consisting of two neural network-fuzzy based on independent reasoning and a connection net with fixed weights to simply the neural networks-fuzzy. The performance of the proposed controller is shown by performing the computer simulation for trajectory tracking of the speed and azimuth of a mobile robot driven by two independent wheels.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.270-283
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• 2021

The achievement of the long-term relationship is commonly executed by a salesperson that is eventually very crucial to enhance the customer retention in the insurance industry. It indicates there is an urgency to improve the competence of salesperson and organization support to build and maintain bonds of long-lasting loyalty with the individual customers. Therefore, this research aims to analyze the influence of planner's competency and organizational support on sales performance, and to verify empirically whether MDRT goal orientation mediating role between competency, organizational support and sales performance. The results of this research are as follows: firstly, product and customer competence, digital competence, network competence positively affect sales performance. Secondly, sales support positively affect sales performance. Thirdly, meditating effect of MDRT goal orientation were significant found between the planner's competency and sales performance. Moreover, in the relationship between sales support and sales performance, MDRT goal orientation have a fully mediated effect. This means customer management through excellent competency, organization support to insurance trend change, and competence development through MDRT goal orientation positively affect sales performance.

• The Journal of Engineering Geology
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• v.16 no.4 s.50
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• pp.337-349
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• 2006

Seven hundred and fifty one fractures of the rhyolitic tuffaceous rock masses were mapped using 6 scanlines placed on rock slope exposures that were within 8.02 km of Busan-Ulsan highway. These data were analyzed to find the number of fracture sets that exist in the rock slopes and the probability distributions of orientation, spacing, trace length and fracture size in 3-D for each of the fracture sets. All the fracture set orientation distributions exhibit high variability. The Fisher distributions were found to be unsuitable to represent the statistical distribution of orientation for most of the fracture sets. The probability distributions, gamma, exponential and lognormal were found to be highly suitable to represent the distribution of spacing and semi-trace length of fracture sets. In obtain-ing these distributions, corrections were applied for sampling biases associated with spacing and trace length. The generated fracture system in 3-D was used to make predictions of fracture traces for each fracture set on 2-D win-dows. Developed stochastic 3-D fracture network for the rock mass was validated by comparing statistical proper-ties of the observed fracture traces on scanlines with the predicted fracture traces on the scanlines. This exercise fumed out to be successful.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.2
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• pp.63-68
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• 2018

Interests in face recognition area have been increasing due to diverse emerging applications. Face recognition algorithm from a two-dimensional source could be challenging in dealing with some circumstances such as face orientation, illuminance degree, face details such as with/without glasses and various expressions, like, smiling or crying. Hopfield Network capabilities have been used specially within the areas of recalling patterns, generalizations, familiarity recognitions and error corrections. Based on those abilities, a specific experimentation is conducted in this paper to apply the Redundant Parallel Hopfield Network on a face recognition problem. This new design has been experimentally confirmed and tested to be robust in any kind of practical situations.

• Proceedings of the KIEE Conference
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• 1999.07g
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• pp.2923-2925
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• 1999

The objective of camera calibration is to determine the internal optical characteristics of camera and 3D position and orientation of camera with respect to the real world. Calibration procedure applicable to general purpose cameras and lenses. The general method to revise the accuracy rate of calibration is using mathematical distortion of lens. The effective og calibration show big difference in proportion to distortion of camera lens. In this paper, we propose the method which calibration distortion model by using neural network. The neural network model implicity contains all the distortion model. We can predict the high accuracy of calibration method proposed in this paper. Neural network can set properly the distortion model which has difficulty to estimate exactly in general method. The performance of the proposed neural network approach is compared with the well-known Tsai's two stage method in terms of calibration errors. The results show that the proposed approach gives much more stable and acceptabke calibration error over Tsai's two stage method regardless of camera resolution and camera angle.

• Journal of the Korean Institute of Educational Facilities
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• v.14 no.4
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• pp.4-13
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• 2007

In 21st century, mankind greets an era of ubiquitous computing where physical and virtual space are merged through the innovation of digital and IT(Information Technology), meanwhile ubiquitous computing and network paradigm suggest a new direction which our future educational system should head for. A society where people, computers, and objects can be connected with each other anytime and anywhere, that is, a society of ubiquitous computing where everything in our living space are interconnected by a immense network system may bring a variety of changes into our educational environment in schools. In this study I analysed the forecast of school educational orientation and ubiquitous educational environment and facilities in developed countries, and on the basis of the result, I performed a fundamental work for formation of a ubiquitous classroom environment which is feasible in Korea. In the section of conclusion, I present a model of ubiquitous classroom as a scenario based on ubiquitous computing technology applicable to future classroom environment.

• Journal of the Korean Society of Safety
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• v.28 no.6
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• pp.57-63
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• 2013

This paper discusses 2D models of beams for simulating the fracture of brittle materials. A simulation of an experiment on a concrete beam subjected to bending, in which two overlapping cracks occur, is used to study the effect of individual beam characteristics and different arrangements of the beams in the overall network mesh. It was found that any regular orientation of the beams influences the resulting crack patterns. Methods to implement a wide range of poisson's ratios are also developed, the use of the mesh to study arbitrary micro-structures is outlined. The crack pattern that are obtained with mesh are in good agreement with the experimental results. Also, numerical simulations of the tests were performed by means of a model, and non-integer dimensions were measured on the predicted mesh damage patterns.

• World Technopolis Review
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• v.4 no.2
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• pp.62-78
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• 2015

The importance of university technology transfer has widely been brought to the center of attention over the last decades. Research and practice thereby often concentrate on issues related to patenting and licensing or entrepreneurship but abstract away from relationship- and network-focused initiatives. In this paper, we argue that efforts to systematically develop close, long-term collaboration partnerships - although complex and resource intensive - are likely to be more beneficial for both universities and industry in the long run. Drawing on data derived from interviews with technology transfer executives of 22 leading European and U.S. universities, we analyze and discuss well-established practices of network and relationship management and their possible impact on technology transfer success. Our findings indicate that dedicated relationship management approaches can yield a sustainable competitive advantage for universities. We thereby shift the focus away from transaction-orientation towards more forward-looking relationship-centric approaches and discuss their institutionalization in great detail.