• Korean Journal of Veterinary Research
• /
• v.53 no.4
• /
• pp.207-210
• /
• 2013

Fifteen dry dentate and complete mandible samples from the White Rasquera goat breed were studied for symmetry. Thirty-one landmarks were digitally located on the images of the lateral and medial aspects of each hemimandible. Distances between these landmarks allowed the evaluation of the whole hemimandible and also the neural mandible. In the studied samples, the mandible was rather symmetrical, especially in the medial neural part, and in general, there was no side dominance. Only the diastema differed significantly between the sides, and this was related to the rostral part (incisive arch). The incisive region was the least symmetrical region of the caprine mandible, indicating a modular structure more conservative for the neural part. If unsigned asymmetry is interpreted as a measure of developmental stability, then the studied breed presented a marked ability to develop in good fitness despite the harsh environment. The measurements presented here can also be used as a reference for researchers designing experimental studies, especially on mandibular catch-up growth, and as an aid for zooarchaeologists comparing results from dead animals with those from living goat populations.

• Journal of the Semiconductor & Display Technology
• /
• v.12 no.1
• /
• pp.1-7
• /
• 2013

Grey-level statistical models have been widely used in many applications for object location and identification. However, conventional models yield some problems in model refinement when training images are not properly aligned, and have difficulties for real-time recognition of arbitrarily rotated models. This paper presents improved grey-level statistical models that align training images using image or feature matching to overcome problems in model refinement of conventional models, and that enable real-time recognition of arbitrarily rotated objects using efficient hierarchical search methods. Edges or features extracted from a mean training image are used for accurate alignment of models in the search image. On the aligned position and orientation, fitness measure based on grey-level statistical models is computed for object recognition. It is demonstrated in various experiments in PCB inspection that proposed methods are superior to conventional methods in recognition accuracy and speed.

• 한국가시화정보학회:학술대회논문집
• /
• 2001.12a
• /
• pp.6-13
• /
• 2001

A new GA-3D-PTV technique has been constructed to measure an impinging jet. The measurement system consists of three CCD cameras, Ar-ion laser, an image grabber and a host computer. GA (Genetic Algorithm) was used based on one-to-one correspondences in order to take advantage of the combinatorial optimization in tracking the pairs of the whole particles of the two images having a time interval. Two fitness functions were introduced in order to enhance the correspondences of the particles. One was based on a concept of the continuum theory and the other one was based on a minimum distance error. The constructed GA-3D-PTV system was applied in success to the measurement of flow characteristics of the impinging jet.

• Proceedings of the KSME Conference
• /
• 2000.04b
• /
• pp.650-654
• /
• 2000

Particle Imaging Velocimetry (PIV) is becoming one of essential methods to measure velocity fields of fluid flows. In this paper, a genetic algorithm capable of tracking same particle pairs on two separated images is introduced. The fundamental of the developed technique is based on that on-to-one correspondence is found between two tracer particles selected in two image planes by taking advantage of combinatorial optimization of the genetic algorithm. The fitness function controlling reproductive success in the genetic algorithm is expressed by physical distances between the selected tracer particles. The capability of the developed genetic algorithm is verified by a computer simulation on a farced vortex flow.

• Fashion & Textile Research Journal
• /
• v.13 no.3
• /
• pp.382-389
• /
• 2011

Pants is an item of clothes of which physical suitability for improvement of appearance and movement is greatly emphasized. The pattern design of pants is very important because the fitness of crotch region, which is difficult to measure, is structurally essential in pants. This study gives detailed pattern development data for the future pattern design by considering design factors related with crotch region of pants and by suggesting related data. For this study, we measured and analyzed the measuring size of each parts of pattern and the design methods related with crotch region selecting 20 textbooks used in universities and institutes of higher education. Through this study, crotch region of pants pattern related design data were obtained and this result could be a primary information in development and education of pants pattern.

• Journal of the Korean Society for Precision Engineering
• /
• v.21 no.9
• /
• pp.48-55
• /
• 2004

This study presents a genetic algorithm-based method fur optimizing control parameters in the pressure control of electro-hydraulic pump with variable displacement. Genetic algorithms are general-purpose optimization methods based on natural evolution and genetics and search the optimal control parameters maximizing a measure that evaluates the performance of a system. Four control gains of the PI-PD cascade controller for an electro-hydraulic pressure control system are optimized using a genetic algorithm in the experiment. Optimized gains are confirmed by inspecting the fitness distribution which represents system performance in gain spaces. It is shown that genetic algorithm is an efficient scheme in optimizing control parameters of the pressure control of electro-hydraulic pump with variable displacement.

• International Journal of Computer Science & Network Security
• /
• v.22 no.6
• /
• pp.139-144
• /
• 2022

Technological advancements taken the health care industry by a storm by embedding sensors in human body to measure their vitals. These smart solutions provide better and flexible health care to patients, and also easy monitoring for the medical practitioners. However, these innovative solutions provide their own set of challenges. The major challenge faced by embedding sensors in body is the issue of lack of infinite energy source. This work presents a meta-heuristic based routing model using modified PSO, and adopts an energy harvesting scheme to improve the network lifetime. The routing process is governed by modifying the fitness function of PSO to include charge, temperature and other vital factors required for node selection. A reactive routing model is adopted to ensure reliable packet delivery. Experiments have been performed and comparisons indicate that the proposed Energy Harvesting and Modified PSO (EHMP) model demonstrates low overhead, higher network lifetime and better network stability.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.31 no.2 s.161
• /
• pp.177-188
• /
• 2007

The purpose of this study was to provide basic materials for the brief patterns and design development for the elderly women to select number 1 to 3 brands according to their brand preference surveying the elderly women with average shapes, and to compare and analyze the exterior fit and functionality. Accordingly, this study proposed basic materials needed for panty pattern suitable for average shapes of the elderly women. The results of the study are as follows: 1 . Looking into the style, they preferred white the best. Regarding the patterns, almost half preferred patterns and rest of them did not. With the panty with patterns, they wanted small and implicit flower patterns. The design they liked was midi, maxi and then mini in order. When looking into the brands, they preferred 'Company B', 'Company SS', 'Company SY', and then market products. The reason why they selected those panty was feeling of fitness, price and then material. 2. To classify the figures of elderly women, we grouped the subjects with strata method using minimal dispersion method. Type 1 is the average, type 2 is for obese women and type 3 is slender women. 3. 3 brands were selected that were produced using CM 40's and elderly women preferred best. When executing wearing test on two elderly women who have average figure according to the body measures in previous study and body measure of Size Korea total exterior evaluation score was Company A, B and C in order.

• The Journal of the Korea Contents Association
• /
• v.12 no.8
• /
• pp.240-247
• /
• 2012

Marginal and internal fit is an important part of the longevity of dental restorations. The purpose of this study was to analysis the marginal and internal fit of zirconia core by dental CAD/CAM system using innovative and non-destructive methods such as optical coherence tomography(OCT) and compare with conventional method such as silicone replica technique(SRT). Ten dental stone models of abutment of maxillary right central incisal were manufactured and scanned. Ten zirconia cores were fabricated with commercial CAD/CAM system. To measure the marginal and internal fit of each sample, five point of fitness were measured using 2 different methods(OCT and SRT). Statistical analysis was performed using independent sample t-test(${\alpha}$=0.05). OCT and SRT groups were not significantly different(P>0.05). By this results, analysis the fitness of dental restorations using OCT were acceptable measuring method.

• Journal of Korea Multimedia Society
• /
• v.10 no.10
• /
• pp.1284-1294
• /
• 2007

In this paper, a blind nonlinear channel equalization is implemented by using a Modified Fuzzy C-Means (MFCM) algorithm. The proposed MFCM searches the optimal channel output states of a nonlinear channel from the received symbols, based on the Bayesian likelihood fitness function instead of a conventional Euclidean distance measure. Next, the desired channel states of a nonlinear channel are constructed with the elements of estimated channel output states, and placed at the center of a Radial Basis Function (RBF) equalizer to reconstruct transmitted symbols. In the simulations, binary signals are generated at random with Gaussian noise. The performance of the proposed method is compared with that of a hybrid genetic algorithm (GA merged with simulated annealing (SA): GASA), and the relatively high accuracy and fast searching speed are achieved.