• Journal of the Korea Computer Industry Society
• /
• v.3 no.12
• /
• pp.1725-1736
• /
• 2002

We describe a characteristic behavior of edge signal intensity, the strictly monotonic variation of intensity across edges and propose a new algorithm for edge detection based on it. We define an extended directional derivatives, which is nonlocal and beyond scaling in the pixel space, to describe that the algorithm is adaptive to the various widths of edges and relevant as an optimal edge detection algorithm. As an industrial application of the algorithm, we discuss a simple computer vision procedure for an example of visual inspection.

• Structural Engineering and Mechanics
• /
• v.2 no.1
• /
• pp.81-94
• /
• 1994

It is well recognized that structures designed to resist strong ground motions should be able to withstand substantial inelastic deformations. A simple procedure has been developed in this paper to monitor the dynamic earthquake response (time-history analysis) of both steel and concrete multistorey buildings in the inelastic range. The building is treated as a shear beam model with three degrees of freedom per floor. The entire analysis has been programmed to run on a microcomputer and can output time histories of displacements, velocities, accelerations and member internal forces at any desired location. A record of plastic hinge formation and restoration to elastic state is also provided. Such information can be used in aseismic analysis and design of multistorey buildings so as to control the damage and optimize their performance.

• Smart Structures and Systems
• /
• v.15 no.4
• /
• pp.1103-1120
• /
• 2015

A self-sensing magnetorheological (MR) damper with embedded piezoelectric force sensor has recently been devised to facilitate real-time close-looped control of structural vibration in a simple and reliable manner. The development and characterization of the self-sensing MR damper are presented based on experimental work, which demonstrates its reliable force sensing and controllable damping capabilities. With the use of experimental data acquired under harmonic loading, a nonparametric dynamic model is formulated to portray the nonlinear behaviors of the self-sensing MR damper based on NARX modeling and neural network techniques. The Bayesian regularization is adopted in the network training procedure to eschew overfitting problem and enhance generalization. Verification results indicate that the developed NARX network model accurately describes the forward dynamics of the self-sensing MR damper and has superior prediction performance and generalization capability over a Bouc-Wen parametric model.

• The Korean Journal of Pain
• /
• v.5 no.1
• /
• pp.76-79
• /
• 1992

Trigeminal neuralgia is a condition characterized by excruciating paroxysms of pain in lips, gums, cheek, or chin, and very rarely, in the distribution of the ophthalmic division of the trigeminal nerve. There are many treatments of trigeminal neuralgia, such as, medical treatment, electrical stimulation, radiation therapy and ablative procedures. Infraorbital nerve block with pure ethyl alcohol is an ablation procedure for trigeminal neuralgia. We injected pure ethyl alcohol into the infraorbital foramen for pain control. The results were as follows; 1) The infraorbital nerve block with pure alcohol was an a simple and an effective method. 2) Complication, included a mild sensory deficit and mild edema over the infraorbital area.

• The Journal of Korea Robotics Society
• /
• v.6 no.1
• /
• pp.86-96
• /
• 2011

The human-following is one of the significant procedure in human-friendly navigation of mobile robots. There are many approaches of human-following technology. Many approaches have adopted various multiple sensors such as vision system and Laser Range Finder (LRF). In this paper, we propose detection and tracking approaches for human legs by the use of a single LRF. We extract four simple attributes of human legs. To define the boundary of extracted attributes mathematically, we used a Support Vector Data Description (SVDD) scheme. We establish an efficient leg-tracking scheme by exploiting a human walking model to achieve robust tracking under occlusions. The proposed approaches were successfully verified through various experiments.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.54 no.4
• /
• pp.73-81
• /
• 2012

In this study, the settlement data of 32 center cored rockfill dams (total 39 monitored data) were collected and analyzed to develop the method to predict the crest settlement of a CCRD after impounding by using the internal settlement data occurred during construction. An artificial neural network (ANN) modeling was used in developing the method, which was considered to be a more reliable approach since in the ANN model dam height, core width, and core type were all considered as input variables in deriving the crest settlement, whereas in conventional methods, such as Clements's method, only dam height is used as a variable. The ANN analysis results showed a good agreement with the measured data, compared to those by the conventional methods using regression analysis. In addition, a simple procedure to use the ANN model for engineers in practice was provided by proposing the equations used for given input values.

• Microbiology and Biotechnology Letters
• /
• v.31 no.2
• /
• pp.201-204
• /
• 2003

Glycopeptide antibiotics, teicoplanin was purified from a mutant strain of Actinoplanes teichomyceticus ATCC31121, A. teichomyceticus MSL2211. We developed a simple procedure to separate and purify the teicoplanin from the fermentation broth. Teicoplanin was purified by two-step purification system, hydrophobic adsorption and sugar affinity chromatography in combination with HPLC analysis based on the properties of hydrophobic acyl chain and sugar moiety in teicoplanin. Teicoplanin was separated from the culture broth by Diaion HP-20 and further purified by concanavalin A affinity column chromatography. As an adsorbent resin, Diaion HP-20 in broth eliminated toxic effects on growth, reduced feedback repression of teicoplanin production, and assisted In rapid recovery of teicoplanin. The teicoplanin displayed the final yield of 80% and 95% of purity.

• Journal of the Korean Applied Science and Technology
• /
• v.10 no.1
• /
• pp.1-8
• /
• 1993

The possibilities for HPLC analysis of lipids have been revolutionised by the availability of evaporative light-scattering detectors, with which the response is independent of the nature of the mobile phase and does not depend On the presence of specific chromophores in the lipids. It was thus possible to develop an HPLC procedure, involving ternary gradient elution, for separating all the lipid classes in animal tissues in a single step. Although reversed-phase HPLC has been widely used for the analysis of molecular species of lipids, sliver ion chromatography can be a valuable alternative. For example, a stable silver ion column for HPLC was developed which permitted resolution of molecular species of triacylglycerols, even from such complex samples as fish oils, again With light-scattering detection and gradient elution. The capacity for HPLC resolution of diastereomeric diacyl-sn-glycerol derivatives, prepared from triacylglycerols. has lead to a new simple method for stereospecific analysis of the latter.

• Journal of the Korean Professional Engineers Association
• /
• v.42 no.4
• /
• pp.40-44
• /
• 2009

The analysis of air quality model applied for EIA in Korea indicates that ISCST3 and CALINE3 dominate the model, and it causes the problem that regional and business characteristics are not taken into account. To solve this problem, it appears necessary to build guideline of the air quality model operation. First of all, to implement the above plan we need to categorize the site into simple and complex terrain, coast to consider regional characteristics, and the sources of pollutants into point/area/line as well. To make the procedure more efficient with reduced time and less cost, we are to apply screening model for prelimninary work of the suggested model.

• Journal of Construction Engineering and Project Management
• /
• v.6 no.3
• /
• pp.14-21
• /
• 2016

One of the major issues in the material-based or acceptance quality characteristics asphalt pavement Quality Assurance (QA) is that the method does not have rationality to link between the individual materials and the projected performance of the pavement. A new asphalt mix QA method has been recently developed under a national research project using the probabilistic Performance Related Specification (PRS). This advanced PRS QA methodology integrates the AASHTOWare Pavement ME Design$^{(R)}$ technology with the simple performance test concept that bridges the material characteristics with the pavement performance. This paper presents a case study of asphalt pavement performance using the developed PRS QA computer program, named Quality Related Specification Software (QRSS), with an actual pavement project, to demonstrate the developed PRS procedure and to assess the robustness of QRSS in terms of the rationality of the distress predictions. The results of this limited case study show that the new PRS QA method reasonably predicts the pavement performance, properly applied the probabilistic methods, and produced rational pay adjustment.