• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.5
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• pp.606-611
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• 2009

Performance test was carried out between selective media which are generally used in Staphylococcus aureus isolation from food. Sensitivity, determined according to the appearance of characteristic colonies when 30 different S. aureus strains were tested, resulted as Baird-Parker agar (RPF)> $Petrifilm^{TM}$ Staph Express plate> Baird-Parker agar> Mannitol salt agar. Also, the four different media showed the same selectivity because all tested media did not produce the false positive colonies. Recovery efficiency from the artificially inoculated foodstuff was almost the same for the tested media. Presumptive colonies were collected from the dried fishery product using Mannitol salt agar and collected strains were tested on 4 different selective agar. Almost presumptive strains did not show the false positive colonies except for S. carnosus ssp carnosus. This strain was identified as false positive colonies on Mannitol salt agar, Baird-Parker agar and $Petrifilm^{TM}$ Staph Express plate. But Baird-Parker agar (RPF) did not show the false positive colonies with the same strains. So, it was concluded that the Baird-Parker agar (RPF) has more higher selectivity than other tested media in this experiment.

• Journal of Bio-Environment Control
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• v.21 no.4
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• pp.459-465
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• 2012

This study analyzed the effect of semi-rigid rafter-purlin cross-linking connection and driven steel pipe base on the static behavior of plastic greenhouse (PG). To promote the time and cost efficiency of the assembly process, each cross-linking connections of space arch type grid that consists of rafter and purlin is linked with steel-wire buckles, and each end of the rafters was driven directly to the ground to support the PG structure. However, in the design process, cross-linking connections and bases are idealized by being categorized as fully rigid or frictionless pinned, which does not appropriately reflect actual conditions. This study takes a full-scale loading test of PG and analyzes the effect of member cross-linking connections and driven steel pipe base on the behavior of a structure. The analysis provided a basis for determining the rigidity factor of member cross-linking nodes needed for finite element analysis, and the reliability of the result regarding the static behavior of PG.

• Journal of KIISE:Software and Applications
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• v.31 no.4
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• pp.447-456
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• 2004

Information extraction is a process of recognizing and fetching particular information fragments from a document. In order to extract information uniformly from many heterogeneous information sources, it is necessary to produce information extraction rules called a wrapper for each source. Previous methods of information extraction can be categorized into manual wrapper generation and automatic wrapper generation. In the manual method, since the wrapper is manually generated by a human expert who analyzes documents and writes rules, the precision of the wrapper is very high whereas it reveals problems in scalability and efficiency In the automatic method, the agent program analyzes a set of example documents and produces a wrapper through learning. Although it is very scalable, this method has difficulty in generating correct rules per se, and also the generated rules are sometimes unreliable. This paper tries to combine both manual and automatic methods by proposing a new method of learning information extraction rules. We adopt the scheme of supervised learning in which a user-interface agent is designed to get information from the user regarding what to extract from a document, and eventually XML-based information extraction rules are generated through learning according to these inputs. The interface agent is used not only to generate new extraction rules but also to modify and extend existing ones to enhance the precision and the recall measures of the extraction system. We have done a series of experiments to test the system, and the results are very promising. We hope that our system can be applied to practical systems such as information-mediator agents.

• Journal of the Institute of Convergence Signal Processing
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• v.15 no.1
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• pp.15-22
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• 2014

This paper presents the implementation of a control system of pellet boiler using wood pellet as carbon neutral material. The system also has the additional features to provide remote controlling and monitoring based on home networking technology through either public switched telephone networks or mobile communication networks. It consists of three kinds of sub-modules; a main controller provides basic and additional features such as a setting of temperature, a supplying of wood pellet, a controlling of ignition and fire-power, and a removing of soot. The second is temperature controller of individual rooms which is connected to the main controller through RS-485 links. And interface modules with PSTN and mobile networks can support remote controlling and monitoring the functions. The test results under the heating area of $172m^2$ show a thermal efficiency of 93.6%, a heating power of 20,640kcal/hr, and a fuel consumption of 5.54kg/hr. These results are superior to those of the conventional pellet boilers. In order to obtain the such high performance, we newly applied a 3-step ignition flow, a flame detection by $C_dS$ sensor, and a fire-power control by fine controlling of shutter to our pellet boiler.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.57 no.1
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• pp.1-6
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• 2012

In this study, we conducted to identify predictive parameters affecting the head rice ratio for developing high quality rice cultivar adaptable to the early-transplanting cultivation. The recombinant inbred lines (RILs) population from a cross between the parents of Pungmi and Koshihikari was used for test materials. Variations were observed in most of the measurements, eg culm length (ranging from 51.0 cm to 97.0 cm), amylose content (14.0~20.1%), protein content (5.2~7.4%), pasting properties (peak viscosity, 227.2~309.8 RVU) and head rice ratio (67.7~96.7%). Significant correlations between head rice ratio versus culm length (0.443) and head rice ratio versus protein content (-0.458) were detected in RIL population. However, culm length was negatively related to lodging tolerance. In order to develop a commercially suitable cultivar, selection for short culm and high head rice ratio of rice grains with physiochemical properties such as protein content, amylase content and taste value should be considered. This results can be used to increase the efficiency of breeding program for developing a new early-maturing rice variety adaptable to early transplanting cultivation in Korea.

• Journal of Korean Society of Environmental Engineers
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• v.28 no.11
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• pp.1222-1227
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• 2006

In this study, nine strains were isolated from heavy metal-contaminated soil in a mine. The high efficiency bacteria, JH1, to be able removal cadmium and copper, was selected by the screen test. JH1 was identified as Ralstonia eutropha by 16S rDNA analysis, fatty acid analysis, and its morphological and biochemical characteristics. After the cadmium-contaminated soil was washed with citric acid solution(pH 6, 10 mM), Ralstonia eutropha JH1 was inoculated in the soil washing water. In order to determine the optimal cell concentration for inoculation, cell concentrations were considered in 0.5, 1.0, 2.0, 4.0 g/L, respectively. The removal efficiencies for cadmium in each cell concentration of Ralstonia eutropha JH1 were 49.9, 84.4, 89.7% and 89.9% of 110 mg/L(Cd), after 5 days culture in soil washing water. When Ralstonia eutropha JH1 was inoculated in soil washing water containing each cadmium(110 mg/L) and copper(100 mg/L), each of them was removed completely during 6 days culture. The completely removing time for cadmium and copper in each low concentration, 10, 30 and 60 mg/L were 12, 18 and 48 hrs, respectively.

• Journal of Broadcast Engineering
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• v.17 no.1
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• pp.73-80
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• 2012

Recently, medical equipments are developed and used for diagnosis or studies. In addition, demand of techniques which automatically deal with three dimensional medical images obtained from the medical equipments is growing. One of the techniques is automatic bone segmentation which is expected to enhance the diagnosis efficiency of osteoporosis, fracture, and other bone diseases. Although various researches have been proposed to solve it, they are unable to be used in practice since a size of the medical data is large and there are many low contrast boundaries with other tissues. In this paper, we present a fast and accurate automatic framework for bone segmentation based on multi-resolutions. On a low resolution step, a position of the bone is roughly detected using constrained branch and mincut which find the optimal template from the training set. Then, the segmentation and the registration are iteratively conducted on the multiple resolutions. To evaluate the performance of the proposed method, we make an experiment with femur and tibia from 50 test knee magnetic resonance images using 100 training set. The proposed method outperformed the constrained branch and mincut in aspect of segmentation accuracy and implementation time.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.7
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• pp.2475-2482
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• 2010

This study aimed to evaluate correlation between self-evaluation factors(satisfaction, linkage with major, suitability of management, verbal and non-verbal communication) and academic achievement of medical students according to introduction of explanation meeting in cadaveric dissection. The study was carried out that medical students(n=57) explained cadaveric structure to health allied sciences students and discussed with each other. Just after the meeting,, medical students filled out a questionnaire on impact of self-evaluation factors and communication. We analyzed these factors and their scores using frequency analysis, T-test and analysis of variance. Regardless of their gender, age, previous experience, the majority of the students gave high scores in all of self-evaluation factors. Among them, only verbal communication factor was closely related to their academic achievement(p<0.05). The verbal and non-verbal communication also had a high correlation of 0.673(p<0.01). The explanation meeting provided chance to learn further with positive attitude to medical students and motivated them academically. Additionally, they realized that communication skill played a key role in transmitting medical knowledge to others. Therefore, introduction of communication-based explanation meeting would be very useful tool in improving educational efficiency.

• Journal of KIISE:Databases
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• v.36 no.1
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• pp.8-21
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• 2009

A wireless sensor network is a computer network which consists of spatially distributed devices, called sensor nodes. In wireless sensor networks, energy efficiency is a key issue since sensor nodes must resides upon limited energy. To retrieve sensor information without dealing with the network issues, a sensor network is treated as conceptual database on which query can be requested. When multiple queries are requested for processing in a wireless sensor network, energy consumption can be significantly reduced if common partial results among similar queries can be effectively shared. In this paper, we propose an energy efficient multi-query processing technique based on the coverage relationship between multiple queries. When a new query is requested, our proposed technique derives an equivalent query from queries running at the moment, if it is derivable. Our technique first computes the set of running queries that may derive a partial result of the new query and then test if this set covers all the result of the new query attribute-wise and tuple-wise. If the result of the new query can be derived from the results of executing queries, the new query derives its result at the base station instead of being executed in the sensor network.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.2
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• pp.1036-1043
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• 2014

The installation of PV system to the power distribution system is being increased as one of solutions for environmental pollution and energy crisis. Because the output efficiency of PV system is getting decreased because of the aging phenomenon and several operation obstacles, the technology development of output prediction and state diagnosis of PV modules are required in order to improve operation performance of PV modules. The conventional methods for output prediction by considering various parameters and standard test condition values of PV modules may have difficult and complex computation procedure and also their prediction values may produce large error. To overcome these problems, this paper proposes an optimal prediction algorithm and state diagnosis algorithm of PV modules by using least square methods of linear regression analysis. In addition, this paper presents a state diagnosis evaluation system of PV modules based on the proposed optimal algorithms of PV modules. From the simulation results of proposed evaluation system, it is confirmed that the proposed algorithms is a practical tool for state diagnosis of PV modules.