• Journal of Dental Rehabilitation and Applied Science
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• v.31 no.4
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• pp.310-315
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• 2015

Purpose: The purpose of this study was to measure the tightening torque for dental implant in dental laboratory and to analyze of the effects of different tightening torque. Materials and Methods: The tightening torque for dental implant in dental laboratory were measured by digital torque gauge. The length of abutment and analog were measured as tightening torque of manufacturer's instructions and the measured value. And the data were statically analyzed. Results: The mean tightening torque of implant screw in dental laboratory was $1.563{\pm}0.332Ncm$. The external type implant system of total length were showing no significant differences but the internal type implant system had difference significant (P < 0.05) when compared with tightening torque. Conclusion: The implant prosthesis should be made under manufacturer's instructions especially as tightening torque of screw. For the fidelity of implant prosthesis, dental technician should learn how to use the torque gauge.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.3
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• pp.466-472
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• 2008

The paper concerns Fuzzy C-Means clustering based fuzzy neural networks (FCM-FNN) and the optimization of the network is carried out by means of hierarchal fair competition-based parallel genetic algorithm (HFCPGA). FCM-FNN is the extended architecture of Radial Basis Function Neural Network (RBFNN). FCM algorithm is used to determine centers and widths of RBFs. In the proposed network, the membership functions of the premise part of fuzzy rules do not assume any explicit functional forms such as Gaussian, ellipsoidal, triangular, etc., so its resulting fitness values directly rely on the computation of the relevant distance between data points by means of FCM. Also, as the consequent part of fuzzy rules extracted by the FCM-FNN model, the order of four types of polynomials can be considered such as constant, linear, quadratic and modified quadratic. Since the performance of FCM-FNN is affected by some parameters of FCM-FNN such as a specific subset of input variables, fuzzification coefficient of FCM, the number of rules and the order of polynomials of consequent part of fuzzy rule, we need the structural as well as parametric optimization of the network. In this study, the HFCPGA which is a kind of multipopulation-based parallel genetic algorithms(PGA) is exploited to carry out the structural optimization of FCM-FNN. Moreover the HFCPGA is taken into consideration to avoid a premature convergence related to the optimization problems. The proposed model is demonstrated with the use of two representative numerical examples.

• Journal of Dental Rehabilitation and Applied Science
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• v.17 no.4
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• pp.307-314
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• 2001

To evaluate the effect of misfit in two implant-supported fixed partial dentures in the posterior of the mandible, variations of the standard finite element models were made by changing the location of the gap as follows: 1) no gap present; 2) located between the gold cylinder and the abutment on the distal implant; 3) gap located between the gold cylinder and the abutment on the mesial implant. The results of this study were as follows: 1. When the location of the gap was close to the load applied on the prosthesis, the stress in the prosthesis, implant components and surrounding bone increased. 2. The presence of cantilever increased the stress in the prosthesis, implant and surrounding bone significantly, regardless of the presence of the gap. 3. When there was a gap between the prosthesis and abutment, the stress in the bone around the implant increased. 4. When passive fit was achieved, the stress was distributed widely in each component with less peak stress in each component. 5. The inner structures of the implant components, the gold screw and the abutment screw bear more stress when the prosthesis did not exhibit passive fit with the abutments than when passive fit was present.

• Journal of the Korea Institute of Building Construction
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• v.17 no.4
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• pp.369-375
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• 2017

This study suggests PSO(Particle Swarm Optimization) algorithm that optimizes the snowplow route allocation and the location of the snow control material storage to improve the efficiency in snow removal works. The modified PSO algorithm for improving the search capacity is proposed, and this study suggests the solution representation, the parameter setting, and the fitness function for the given optimization problems. Computational experiments in real-world case are carried out to justify the proposed method and compared with the traditional PSO algorithms. The results show that the proposed algorithms can find the better solution than the traditional PSO algorithms by searching for the wider solution space without falling into the local optima. The finding of this study is efficiently employed to solve the optimization of the snowplow route allocation by minimizing the workload of each snowplow to search the location of the snow control material storage as well.

• Journal of the Korean Society of Safety
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• v.27 no.5
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• pp.148-157
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• 2012

Reliability-based design optimization (RBDO) problem is usually formulated as an optimization problem to minimize an objective function subjected to probabilistic constraint functions which may include deterministic design variables as well as random variables. The challenging task is that, because the probability models of the random variables are often assumed based on limited data, there exists a possibility of selecting inappropriate distribution models and/or model parameters for the random variables, which can often lead to disastrous consequences. In order to select the most appropriate distribution model from the limited observation data as well as model parameters, this study takes into account a set of possible candidate models for the random variables. The suitability of each model is then investigated by employing performance and risk functions. In this regard, this study enables structural design optimization and fitness assessment of the distribution models of the random variables at the same time. As the first paper of a two-part series, this paper describes a new design method considering probability model uncertainties. The robust performance of the proposed method is presented in Part 2. To demonstrate the effectiveness of the proposed method, an example of ten-bar truss structure is considered. The numerical results show that the proposed method can provide the optimal design variables while guaranteeing the most desirable distribution models for the random variables even in case the limited data are only available.

• Journal of Advanced Navigation Technology
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• v.24 no.5
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• pp.382-392
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• 2020

The use of unmanned aerial vehicle (UAV) have been regarded as a promising technique in both military and civilian applications. Nevertheless, due to the lack of relevant and regulations and laws, the misuse of illegal drones poses a serious threat to social security. In this paper, aiming at deriving the three-dimension optimal surveillance trajectories for group monitoring drones, we develop a group trajectory planner based on the particle swarm optimization and updating mechanism. Together, to evaluate the trajectories generated by proposed trajectory planner, we propose a group-objectives fitness function in accordance with energy consumption, flight risk. The simulation results validate that the group trajectories generated by proposed trajectory planner can preferentially visit important areas while obtaining low energy consumption and minimum flying risk value in various practical situations.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.146-150
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• 2007

As the internet has become a mainstream information tool, searching answers has become crucial as well. The collaborative filtering estimates and recommends items based upon the similar preference. However, because it refers to partial users information who have the similar preference, it tends to ignore the rest. In this paper, we propose the apparel coordination based on human sensibility ergonomics using the female students preference. This proposed method calculates evaluation values using fitness function based genetic algorithm, and gathers users through a-cut. Finally, the collaborative filtering recommends apparel coordination. To estimate the performance, the suggested method is compared with FAIMS-I, FAIMS-II in the questionnaire dataset.

• Journal of Korean Orthopaedic Sports Medicine
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• v.2 no.1
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• pp.56-61
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• 2003

This is a review article about range of motion, stretching, and aerobic exercise in accelerated rehabilitation of knee and shoulder. If the joint was immobilized for a long time after injury, it would cause stiffness and atrophy. Therefore, this program includes various exercise techniques; range of motion for joint stiffness, and stretching for muscle relaxation, and cardiovascular training (e.g., swimming, upper body extremity, stationary bicycle) for prevention of cardiopulmonary function decrease. In accelerated rehabilitation, It is very important factor to make interaction between clinical exercise specialist and patients. Also, we recommend that they should discuss with sports medicine doctor as a team members the following; pain, adaptation of exercise, fitness level, and progression of program.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.11
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• pp.2433-2440
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• 2009

Whole system and network for supply of electric power and electricity safety are essential element. Electricity safety technology need rating for product and research about certification as product development that is done electric power u-IT cotton flannel mixed with development of u-IT, u-City base technology consists. Study on serve to develop electricity safety integration supervision system to apply product to u-City electric power appliance and cotton flannel mixed of u-IT appliance, Connection badness sensing instrument made device built-in electric power u-IT cotton flannel mixed in outlet that is used most in electric power appliance terminal. Using sensor on ZigBee, RFID performance estimation of communication module about function of product for remote safety check of electricity safety integration supervision system. A performance experiment and estimation in electric leakage, high voltage, Arc, fire detection diagnosis system and certification KS, electricity safety about product that get fitness finding.

• IMMUNE NETWORK
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• v.5 no.4
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• pp.232-236
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• 2005

Background: A physically active lifestyle and regular exercise training incurs many health benefits. One recently recognized benefit of regular moderate exercise is stress reduction and immune enhancement. Thus, a physical stress such as exercise may act at any number of points in the complex sequence of events collectively termed the immune response. Although exercise causes many propound changes in parameters of immune function, the nature and magnitude of such changes rely on several factors including the immune parameters of interest; type, intensity, and duration of exercise; fitness level or exercise history of the subject; environmental factors such as ambient temperature and humidity. Methods: This study was undertaken to investigate the effect of different type of exercise on superoxide dismutase (SOD), neutrophils, and T lymphocytes of Sprague-Dawley rats. Sprague-Dawley rats were randomly divided into three groups; a non-Trained group (NTG, n=6), a swim-Trained group (STG), and a treadmill-Trained group (TTG). The exercise regimen was designed in a treadmill (5 times/5 days/week) during 8-weeks for TTG, and swim training (5 times/5 days/week) during 8-weeks for STG, and the volume of exercise training was the same in both groups. Results: 8 weeks of regular swim and treadmill training significantly increased liver SOD concentration however, muscle SOD concentration was not statistically significant. In the level of neutrophils, TTG and STG showed significant difference, compared to NTG. TTG was the highest level of neutrophils. In the level of immune cell counts, there was significant difference among TTG, STG, and NTG both in the spleen and thymus. Conculsion: In conclusion, it can be stated that eight weeks swim and treadmill exercise training has beneficial effect in improving immune response and antioxidant defence capacity by augmenting immune cells and SOD activities of SD rats.