• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.8
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• pp.1569-1580
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• 2016

For the 2.4 GHz active RFID to be successful in the market, one of the requirements is the increased battery life. However, currently we do not have any accurate power consumption estimation method. In this study we develop a simulation model, which can be used to estimate power consumption of tag accurately. Six different simulation models are proposed depending on collision algorithm and query command method. To improve estimation accuracy, we classify tag operating modes as the wake-up receive, UHF receive, sleep timer, tag response, and sleep modes. Power consumption and operating time are identified according to the tag operating mode. Query command for simplifying collection and ack command procedure and newly developed collision control algorithm are used in the simulation. Other performance measures such as throughput, recognition time for multi-tags, tag recognition rate including power consumption are compared with those from the current standard ISO/IEC 18000-7.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2321-2330
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• 2015

A variety of studies for indoor positioning are now being in progress due to the limit of GPS that becomes obsolete in the room. However, most of them are based on private wireless networks and the situation is difficult to commercialize them since they are expensive in terms of installation and maintenance costs, non-real-time, and not accurate. This paper applies the mark recognition algorithm used in existing augmented reality applications to the indoor vehicle positioning application. It installs floor marks on the ground, performs the perspective transformation on it and decodes the internal data of the mark and, as a result, it obtains an absolute coordinate. Through the geometric analysis, it obtains current position (relative coordinates) of a vehicle away from the mark and the heading direction of the vehicle. The experiment results show that when installing the marks every 5 meter, an error under about 30 cm occurred. In addition, it is also shown that the mark recognition rate is 43.2% of 20 frames per second at the vehicle speed of 20km/h. Thus, it is thought that this idea is commercially valuable.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.6
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• pp.237-242
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• 2014

Current digital door lock systems are mainly designed for users' convenience, so they have weakness in security. Thus, this paper suggests a video digital doorlock system grouped with a relay device, a server, and a digital doorlock with a camera, sensors, and communication modules, which is detecting or recognizing objects approaching to the front of the door lock system and sending images and door-opening information to users' smart devices. Experiments showed that the suggested system has 96~98% recognition rate of approaching objects and requires 17.1~23.9 seconds for transmission on average, depending on network systems. Therefore, the system is thought to have enough capability for real time security response by monitoring the front area of the doorlock system.

• Journal of the Korea Society of Computer and Information
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• v.12 no.2 s.46
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• pp.77-82
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• 2007

In this paper, we proposed the image processing techniques for extracting the cracks in a concrete surface crack image and the enhanced Max-Min neural network for recognizing the directions of the extracted cracks. The image processing techniques used are the closing operation or morphological techniques, the Sobel masking for extracting for edges of the cracks, and the iterated binarization for acquiring the binarized image from the crack image. The cracks are extracted from the concrete surface image after applying two times of noise reduction to the binarized image. We proposed the method for automatically recognizing the directions of the cracks with the enhanced Max-Min neural network. Also, we propose an enhanced Max-Min neural network by auto-tuning of learning rate using delta-bar-delta algorithm. The experiments using real concrete crack images showed that the cracks in the concrete crack images were effectively extracted and the enhanced Max-Min neural network was effective in the recognition of direction of the extracted cracks.

• Natural Product Sciences
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• v.22 no.3
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• pp.162-167
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• 2016

Peucedani Radix is the root of Angelica decursiva Franchet et Savatier (=Peucedanum decursivum Maximowicz) or Peucedanum praeruptorum Dunn in several Asian countries. The coumarins contained in Peucedani Radix were quantitatively analyzed using HPLC-DAD to develop a simultaneous determination for the quality control of A. decursiva and P. praeruptorum. For quantitative analysis, four major coumarins contained in these medicinal plants were assessed. Nodakenin (1), nodakenetin (2), praeruptorin A (3), and praeruptorin B (4) were separated with a Phenomenex Luna C18 column ($5{\mu}m$, $4.6{\times}250mm$) under the gradient conditions using distilled water with 0.1% phosphoric acid and acetonitrile with 0.1% phosphoric acid as the mobile phase, at a flow rate of 1.0 ml/min and a detection wavelength of 330 nm. This method was fully validated for linearity, accuracy, precision, recovery, and limit of detection and quantification. As a result, A. decursiva and P. praeruptorum were clearly classified by the quantification of four major coumarins in extracts. Also, the pattern recognition analysis based on HPLC indicates that all of the samples were largely clustered into two groups. Therefore, it is possible to distinguish between A. decursiva and P. praeruptorum and contribute to quality control.

• Journal of Korean society of Dental Hygiene
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• v.9 no.2
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• pp.89-98
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• 2009

This study did question, and got following conclusion to ready necessary basic data to develop school oral health educational programs because grasp 388 man high school students in Jeolla-bukdo Namwon per June, 2008 realization about oral health and oral health education actual conditions. 1. Students of 56.7% recognized own oral health as is not healthy in realization about subjective oral health, and students of 72.2% were interested in oral health, and was recognizing oral fitness by important health problems. 2. Oral health realization by class was significant difference in toothbrushing reason, cause of dental caries, cause of periodontal disease. Students who respond that know adjusted water fluoridation did only for 10.3%, and it was 43.0% of students who responded that students of 57.0% do toothbrushing because of draft cleanliness, and responds that cause of dental caries is food dregs. 3. Responded that 87.1% is right toothbrushing by oral disease preservative, and next time was on-time oral medical examination 79.4%, smoking resection 58.5%, sugar intake limitation 55.4% round. 4. Students, who oral health education by interest degree of oral health is interested in oral health, is oral health educational experience and the need rate, participation intention was high when educate.

• Journal of Korean society of Dental Hygiene
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• v.12 no.4
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• pp.723-732
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• 2012

Objectives : This study aims to analyze the tasks, recognition and obstacles in operation of school dental clinics and to examine opinions on installation, operation and prerequisites for toothbrushing facilities. Methods : It conducted a survey t o the persons in charge at 378 school dental clinics in Korea and total 127 sheets, excluding incompletely answered data, were used for analysis by using SPSS 18.0. Results : Two regular dental hygienists visit school dental clinics 2-3 times per week and work 4-6 hours per week on average. Their tasks include oral health education, toothbrushing instruction, oral examination, sending school newsletters, and dental sealants. The obstacles of operation include excessive workload other than the work for the school dental clinic, lack of dentists, and lack of cooperation of principals and teachers in school. The persons in charge think that the chief task of the school dental clinic is the continuous oral health management, and it effectively affects students' oral health improvement. Most of them were for the installation of toothbrushing facilities. They said that it will be effective in students having an adequate toothbrushing habit and their toothbrushing rate increasing higher. They thought that if the school dental clinic is changed to toothbrushing facilities, it will improve students' oral health management. The prerequisites for toothbrushing facilities are the support of manpower in charge, principal's support, and development of operational programs. Conclusions : The most effective function of school dental clinics is constant oral health management. However, when public health doctors are reduced and dental sealants get included in health insurance, the budget of local government will decrease and then it will eventually reduce the work of school dental clinics. Therefore, it is needed to enhance support for school dental clinics or install a toothbrushing facilities rather than a school dental clinic.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.1 s.149
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• pp.125-136
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• 2006

The purpose of this study was to examine the size system of women's suits on the market in China and the levels of satisfaction on the fit experienced by Chinese customers, and thereby to look into the problems relating to the fit of Chinese women's suits. The findings were as follows: 1. The size fur women's suits currently on sale in China was indicated by the number by all manufacturers. The size of the largest production was in the order of 165-88A, 160-84A, and 170-92A for jackets; 160-68A, 165-72A, and 170-76A far pants and skirt. 2. The survey on the recognition of the size for ready-made suits showed the response rate of $91.1\%$ for jackets, $58.7\%$ for pants, and $56.3\%$ for skirts, indicating the higher recognition level in the measure for jackets in comparison with pants. 3. The survey on the satisfaction with the fitness for each item of women's suits(jackets, pants, and skirts) showed the satisfaction levels of $3.05\~3.63$ for all items, above the ordinary figures. Of the three items, the satisfaction level of pants was lowest. 4. The survey on the repair frequency for each item of suits showed $53.2\%$ for jackets, $52.5\%$ for pants, and $30.4\%$ for skirts, that of the skirts being lower than those of the other items.

• Journal of Korea Game Society
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• v.13 no.4
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• pp.15-24
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• 2013

The game of Go, which is originated at least more than 2,500 years ago, is one of the oldest board games in the world. So far the theoretical studies concerning to the Go openings are still insufficient. We applied traditional LDA algorithm to recognize a pro player's opening to a class obtained from the training openings. Both class-independent LDA and class-dependent LDA methods are conducted with the Go game records of the Korean top 10 professional Go players. Experimental result shows that the average recognition rate of class-independent LDA is 14% and class-dependent LDA 12%, respectively. Our research result also shows that in contrary to our common sense the algorithm based on PCA outperforms the algorithm based on LDA and reveals the new fact that the Euclidean distance metric method rarely does not inferior to LDA.

• Journal of the Korea Society of Computer and Information
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• v.13 no.3
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• pp.179-187
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• 2008

In this paper, we apply a set of algorithms to classily normal and cancer nucleus from uterine cervical pap-smear images. First, we use lightening compensation algorithm to restore color images that have defamation through the process of obtaining $1{\times}400$ microscope magnification. Then, we remove the background from images with the histogram distributions of RGB regions. We extract nucleus areas from candidates by applying histogram brightness, Kapur method, and our own 8-direction contour tracing algorithm. Various binarization, cumulative entropy, masking algorithms are used in that process. Then, we are able to recognize normal and cancer nucleus from those areas by using three morphological features - directional information, the size of nucleus, and area ratio - with fuzzy membership functions and deciding rules we devised. The experimental result shows our method has low false recognition rate.