• International Journal of Contents
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• v.6 no.4
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• pp.8-13
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• 2010

Due to the expense of health care and the need to contain costs, many stroke patients are discharged from hospitals while still in an impaired condition. Using Tele-rehabilitation, these patients can receive rehabilitation services remotely. A pegboard is a conventional rehabilitation therapeutic device that integrates cognition, sensation and hand motor function. This study proposes a Tele-rehabilitation content with automated pegboard and shows its functional feasibility. The evaluation of the pegboard session was automated with RFID (radio frequency identification), and a 16-hole pegboard was rapid-prototyped. After a pegboard session is completed, the session result is uploaded to a server automatically for viewing on a web browser by a remote therapist. The therapist can also send messages to remote patients to encourage them or to manage the rehabilitation process.

• Tuberculosis and Respiratory Diseases
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• v.38 no.3
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• pp.287-296
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• 1991

Colonial morphology of the various yeasts often encountered in sputum or other clinical specimens was investigated on the corn meal-potato-yeast extract agar medium (GJCPY) containing orange-yellow pigments extracted from Gardenia jasminoides fruits in hopes of differential identification on primary cultures. The results obtained are as follows. 1) Cryptococcus neoformans which is a medically important yeast and whose colony showed brown to purple brown on GJCPY medium was distinguishable not only from buff colored Cr. laurentii after one week incubation but also from Candida spp. 2) Colony color of Candida albicans, a most common species in sputum specimens and of Ca. parapsilosis, a rare isolate, remained unchanged even after 15 days incubation. 3) Ca. tropicalis, second common isolate from sputums and Ca. krusei, a rare isolate, formed a characteristic rough and wrinkled colonies that permit to differentiate them from others. 4) Rare isolates, Ca. guilliermondii and Ca. lusitaniae, turned to prussian blue within three days of incubation. 5) Torulopsis sp. and Saccharomyces cerevisiae showed glossy grayish blue or light blue after one week incubation. The findings clearly showed that Ga. jasminoides pigments medium was useful to the morphological differentiation of medically important yeasts that were often encountered in sputum or other clinical specimens.

• Journal of Information Processing Systems
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• v.14 no.5
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• pp.1114-1135
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• 2018

A multiple classification system based on a new boosting technique has been approached utilizing different biometric traits, that is, color face, iris and eye along with fingerprints of right and left hands, handwriting, palm-print, gait (silhouettes) and wrist-vein for person authentication. The images of different biometric traits were taken from different standard databases such as FEI, UTIRIS, CASIA, IAM and CIE. This system is comprised of three different super-classifiers to individually perform person identification. The individual classifiers corresponding to each super-classifier in their turn identify different biometric features and their conclusions are integrated together in their respective super-classifiers. The decisions from individual super-classifiers are integrated together through a mega-super-classifier to perform the final conclusion using programming based boosting. The mega-super-classifier system using different super-classifiers in a compact form is more reliable than single classifier or even single super-classifier system. The system has been evaluated with accuracy, precision, recall and F-score metrics through holdout method and confusion matrix for each of the single classifiers, super-classifiers and finally the mega-super-classifier. The different performance evaluations are appreciable. Also the learning and the recognition time is fairly reasonable. Thereby making the system is efficient and effective.

• Journal of Plant Biotechnology
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• v.43 no.1
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• pp.1-11
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• 2016

Single nucleotide polymorphism (SNP) is an abundant form of genetic variation within individuals of species. DNA polymorphism can arise throughout the whole genome at different frequencies in different species. SNP may cause phenotypic diversity among individuals, such as individuals with different color of plants or fruits, fruit size, ripening, flowering time adaptation, quality of crops, grain yields, or tolerance to various abiotic and biotic factors. SNP may result in changes in amino acids in the exon of a gene (asynonymous). SNP can also be silent (present in coding region but synonymous). It may simply occur in the noncoding regions without having any effect. SNP may influence the promoter activity for gene expression and finally produce functional protein through transcription. Therefore, the identification of functional SNP in genes and analysis of their effects on phenotype may lead to better understanding of their impact on gene function for varietal improvement. In this mini-review, we focused on evidences revealing the role of functional SNPs in genes and their phenotypic effects for the purpose of crop improvements.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.3
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• pp.477-486
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• 2016

This paper presents the area classification, identification, and tracking for multiple moving objects with the similar colors. To do this, first, we use the GMM(Gaussian Mixture Model)-based background modeling method to detect the moving objects. Second, we propose the use of the binary and morphology of image in order to eliminate the shadow and noise in case of detection of the moving object. Third, we recognize ROI(region of interest) of the moving object through labeling method. And, we propose the area classification method to remove the background from the detected moving objects and the novel method for identifying the classified moving area. Also, we propose the method for tracking the identified moving object using Kalman filter. To the end, we propose the effective tracking method when detecting the multiple objects with the similar colors. Finally, we demonstrate the feasibility and applicability of the proposed algorithms through some experiments.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.313-316
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• 2015

Construction is one of the most dangerous job sectors, which reports tens of thousands of time-loss injuries and deaths every year. These disasters incur delays and additional costs to the projects. The safety management needs to be on the top primary tasks throughout the construction to avoid fatal accidents and to foster safe working environments. One of the safety regulations that are frequently violated is the wearing of personal protection equipment (PPE). In order to facilitate monitoring of the compliance of the PPE wearing regulations, this paper proposes a vision based method that automatically identifies whether workers wear hard hats and safety vests. The method involves three modules - human body detection, identification of safety vest wearing, and hard hat detection. First, human bodies are detected in the video frames captured by real-time on-site construction cameras. The detected human bodies are classified into with/without wearing safety vests based on the color features of their upper parts. Finally, hard hats are detected on the nearby regions of the detected human bodies and the locations of the detected hard hats and human bodies are correlated to reveal their corresponding matches. In this way, the proposed method provides any appearance of the workers without wearing hard hats or safety vests. The method has been tested on onsite videos and the results signify its potential to facilitate site safety monitoring.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.2
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• pp.293-300
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• 2018

We propose a moving object extraction and tracking method for improvement of animal identification and tracking technology. First, we propose a method of merging separated moving objects into a moving object by using FCM (Fuzzy C-Means) clustering algorithm to solve the problem of moving object loss caused by moving object extraction process. In addition, we propose a method of extracting data from a moving object and a method of counting moving objects to determine the number of clusters in order to satisfy the conditions for performing FCM clustering algorithm. Then, we propose a method to continuously track merged moving objects. In the proposed method, color histograms are extracted from feature information of each moving object, and the histograms are continuously accumulated so as not to react sensitively to noise or changes, and the average is obtained and stored. Thereafter, when a plurality of moving objects are overlapped and separated, the stored color histogram is compared with each other to correctly recognize each moving object. Finally, we demonstrate the feasibility and applicability of the proposed algorithms through some experiments.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.6
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• pp.605-614
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• 2015

Drone imaging, which is more cost-effective and controllable compared to airborne LiDAR, requires a low-cost camera and is used for capturing color images. From the overlapped color images, we produced two high-resolution digital surface models over different test areas. After segmentation, we performed tree identification according to the method proposed by , and computed the tree height and the canopy crown size. Compared with the field measurements, the computed results for the tree height in test area 1 (coniferous trees) were found to be accurate, while the results in test area 2 (deciduous coniferous trees) were found to be underestimated. The RMSE of the tree height was 0.84 m, and the width of the canopy crown was 1.51 m in test area 1. Further, the RMSE of the tree height was 2.45 m, and the width of the canopy crown was 1.53 m in test area 2. The experiment results validated the use of drone images for the extraction of a tree structure.

• Journal of Animal Reproduction and Biotechnology
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• v.35 no.3
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• pp.239-244
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• 2020

Meat and carcass quality attributes are important factors influencing consumer preference and profitability in the pork industry. Single nucleotide polymorphisms (SNPs) are essential for livestock breeding and improvement. In the present study, the pig Perilipin 2 (PLIN2) gene was characterized with the aim of detecting genetic variation at these loci in relation to economic traits in Berkshire pigs. Four SNPs (G6714C, G6813A, G10340A, and G10632A) were detected in this studied. Statistical analysis indicated that G6714C was significantly associated with the National Pork Producers Council (NPPC) color score, G6813A, and G10340A significantly affected NPPC color score and NPPC marbling score, and G10632A significantly affected backfat thickness (BF) (p < 0.05). Therefore, the molecular markers used in the present study might provide a useful basis for identification and improvement of traits in the Berkshire pigs.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.7
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• pp.753-758
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• 2010

In this paper we propose an efficient marker tracking system that exploits IR and web cameras. The proposed method solves the marker swap problem and allows for fast and responsive marker tracking. We use color information gathered from the IR reflector to assign a unique identification to each marker. We can locate each marker withthe IR camera and also identify the marker uniquely by using color information provided by the web camera. The experiment results show that marker swapping can be eliminated effectively. Furthermore, our approach allows for faster and more responsive marker tracking.