• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.8
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• pp.1596-1603
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• 2007

In this paper, we experimented by three kind of method for feature parameter, training method and recognition algorithm of most suitable for speech recognition system and considered. We decided speech recognition system of most suitable through two kind of experiment after we make speech recognizer. First, we did an experiment about three kind of feature parameter to evaluate recognition performance of it in speech recognizer using existent MFCC and MFCC new feature parameter that change characteristic space using PCA and ICA. Second, we experimented recognition performance or HMM, SVM and RVM by studying data number. By an experiment until now, feature parameter by ICA showed performance improvement of average 1.5% than MFCC by high linear discrimination from characteristic space. RVM showed performance improvement of maximum 3.25% than HMM in an experiment by decrease of studying data. As such result, effective method for speech recognition system to propose in this paper derives feature parameters using ICA and un recognition using RVM.

• Journal of Climate Change Research
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• v.5 no.3
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• pp.231-248
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• 2014

The goal of this research is to develop an evaluation method applying 'Green Management Index' introduced by Korean government to assess overall Green management level of the industrial sector. The method can help to grasp the present condition of Green management in Korea and analyze changes in trend. For this research, business types are classified into 8 categories and each evaluation method is developed according to each category. Green management evaluation was conducted in 2013, targeting 513 enterprises and the result was analyzed comparing that of 2011 to understand changes in trend. The evaluation shows that 1) 'strategy and system' section is tentatively vulnerable than other sections, 2) industry with higher sensitivity towards regulations has higher score, 3) there is a significant gap conducting green management between conglomerates and SMEs especially in 'system' section. The total score was elevated by 3 points compared to 2011. It is considered that the elevation of score was attributed to tightened regulations such as Target Management Scheme. Controlled Entities scored 4 points higher and 'GHG and environmental pollution' section increased by 10 points. Also, there is a wide disparity in green management evaluation between controlled entities and non-controlled entities from 5 points in 2011 to 10 points in 2013.

• Journal of Environmental Science International
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• v.28 no.4
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• pp.455-464
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• 2019

BAT-AEL(Best Available Techniques Associate Emission Level) is the basis for establishing permissible emission standards for the workplace. Therefore, it is necessary to formulate a regulated BAT-AEL setting methodology that is generally applicable to all relevant industries. For the BAT-AEL settings, various factors should be considered such as the pollutants item, whether the workplace is subject to integrated pollution prevention and control, whether BAT is applicable, the basic data type, the emission classification system, and the suitability of the collected data. Among these factors, it is the most important factor to establish the classification system for the emitting facilities such that the emission characteristics of an industrial facility and its pollutants can be effectively reflected. Furthermore the target of the survey workplace should adhere to the BAT guidelines, even if it is a workplace that is subject to an the integrated environmental system. Certified data (SEMS, TMS, cleanSYS, WEMS, etc.) can be used to prioritize the classification system for the emission facility and the emission levels of pollutants. However, the self-measured data, daily logs, and questionnaire data from the workplace can also be used upon agreement of the relevant TWG. The collected data should only be used only when the facility is operating normally. Data that have been determined to be outliers or inappropriate validation methods should also be excluded. The BAT-AEL can be establish by adhering to the following procedure: 1) investigate all relevant workplaces with in the industry, 2)select workplaces for integrated management, 3)Identify BAT application, 4)identify whether BAT is generally applicable, 5)establish a classification system for emitting facilities, 6)collection available data, 7)verify conformity, 8)remove of outliers, 9)prepare the BAT-AEL draft, 10)deliberate, and 11) perform the confirmation procedure.

• Journal of Korean Port Research
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• v.9 no.2
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• pp.9-24
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• 1995

The intensification of the competition among container terminals has led to important affect such as, decision making or aggressive intervention of customers for terminal operation. Therefore, in case of developed ports, the large transition of port operation is composed of the press of terminal customer than decision making of terminal manager. Overall port tariffs for using terminal is made out by the conference of terminal customers than the supreme headquarters of terminal operation, and the related investment of terminal has been made according to requisition or proposal of customers. Therefore, among decision making problems that shippers, shipping companies, and freight forwarder among decision making problems that shippers, shipping companies, and freight forwarder face, the choice of the container terminal is one of the most important problems. So, the decision making of the users seems to have a significant impact on the competitive power of container terminals. The main objective of this study is to design port marketing strategy for strengthening the competitive power of container terminals. The results of this study were found as follows: Firstly, port authority should establish user-oriented operation policy of terminal as the means of activating the opinion window, using terminal monitoring system(TMS). Secondly, terminal planning and development of government should be made to minimize the lead time, to induce the civil capital and to utilize the economies of scale. Thirdly, port authority needs to endeavor to analyze the information of competing foreign terminals as well to promote the concentrated marketing for the terminal on the users, to train the expert and to develop the new port charge system. Fourthly, to improve the competitive power of the container terminal, Port Authority should optimize the subsystems related to port marketing, far more these systems should be joined organically to work effectively. Finally, port authority system should be introduced, Namely, port should have the enterprise inclination as well s the public inclination.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.6
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• pp.1583-1598
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• 2024

With the popularization and application of artificial intelligence technology in daily life, new ethical and moral problems constantly appear in human society. These ethical and moral problems have been associated with people's moral behavior and have become crucial issues. In traditional social situations, researches have proved that moral intensity affects people's moral behavior. However, in the context of applying artificial intelligence technology, the mechanism between moral intensity and moral behavior is unknown. Therefore, this study focuses on the relationship between moral intensity and moral behavior in the context of applying artificial intelligence technology, and introduces a new concept - technology moral sense (TMS) into the theoretical model. Research method: We set various situations of applying artificial intelligence technology and adopt the situational experiment method to analyze the relationship between moral intensity and moral behavior in different application scenarios. The results show that moral intensity has a significant influence on moral behavior, while the technology moral sense performs a mediating function.

• Korean Journal of Food Science and Technology
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• v.45 no.5
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• pp.537-544
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• 2013

This study was performed to establish method of simultaneous determination of fructose, glucose, and sucrose in honey and commercial vitamin drinks by GC and GC/MS. Optimum chromatographic separation of trimethylsilyl-oxime (TMSO) derivatives by GC was achieved on a DB-5 column. Calibration curves for fructose, glucose and sucrose TMSO derivatives by GC were linear in the range of 50-5000 ${\mu}g/mL$, and their $r^2$ values were 0.9999, The limit of detection and limit of quantification of fructose, glucose, and sucrose were 0.68, 0.47, and 0.53 ${\mu}g/mL$, respectively, and 2.27, 1.58, and 1.77 ${\mu}g/mL$, respectively. Average recoveries of fructose, glucose, and sucrose were 100.5, 101.0, and 99.7%, respectively. When the method was applied to 12 honey samples, the average concentrations of fructose, glucose and sucrose were $42.58{\pm}1.97%$, $27.74{\pm}1.16%$, and $0.79{\pm}0.52%$, respectively. The F/G ratio was $1.53{\pm}0.07$. For fructose and glucose contents, results from the GC analysis were similar to those from the HPLC analysis, but the sucrose content was different for each analysis method. We suggest that the GC method is more suitable than other official analytical methods for simultaneous determination of fructose, glucose, and sucrose in honey.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.5
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• pp.312-321
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• 2003

In this paper, we implement robot which are ability to recognize obstacles and moving automatically to destination. we present two results in this paper; hardware implementation of image processing board and software implementation of visual feedback algorithm for a self-controlled robot. In the first part, the mobile robot depends on commands from a control board which is doing image processing part. We have studied the self controlled mobile robot system equipped with a CCD camera for a long time. This robot system consists of a image processing board implemented with DSPs, a stepping motor, a CCD camera. We will propose an algorithm in which commands are delivered for the robot to move in the planned path. The distance that the robot is supposed to move is calculated on the basis of the absolute coordinate and the coordinate of the target spot. And the image signal acquired by the CCD camera mounted on the robot is captured at every sampling time in order for the robot to automatically avoid the obstacle and finally to reach the destination. The image processing board consists of DSP (TMS320VC33), ADV611, SAA7111, ADV7l76A, CPLD(EPM7256ATC144), and SRAM memories. In the second part, the visual feedback control has two types of vision algorithms: obstacle avoidance and path planning. The first algorithm is cell, part of the image divided by blob analysis. We will do image preprocessing to improve the input image. This image preprocessing consists of filtering, edge detection, NOR converting, and threshold-ing. This major image processing includes labeling, segmentation, and pixel density calculation. In the second algorithm, after an image frame went through preprocessing (edge detection, converting, thresholding), the histogram is measured vertically (the y-axis direction). Then, the binary histogram of the image shows waveforms with only black and white variations. Here we use the fact that since obstacles appear as sectional diagrams as if they were walls, there is no variation in the histogram. The intensities of the line histogram are measured as vertically at intervals of 20 pixels. So, we can find uniform and nonuniform regions of the waveforms and define the period of uniform waveforms as an obstacle region. We can see that the algorithm is very useful for the robot to move avoiding obstacles.

• Korean Journal of Food Science and Technology
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• v.48 no.1
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• pp.1-8
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• 2016

Sugar profiles of 45 Korean honey samples (15 acacia, 15 multi-floral, 10 chestnut, and 5 artificial honey samples), which are commercially available in the Korean markets, were analyzed using gas chromatography/mass spectrometry (GC/MS) through TMS-oxime and TMS-methoxime derivatization. The average invert sugar contents in acacia, multi-floral, chestnut, and artificial honey samples were $71.2{\pm}1.05$, $68.7{\pm}3.26$, $63.2{\pm}1.85$, and $68.0{\pm}2.10%$, respectively. Fourteen disaccharides were detected from the samples, and the average content of major disaccharides was higher in order of turanose, maltulose, maltose, trehalulose, kojibiose, isomaltose, and nigerose. The average content of total disaccharides was highest in chestnut and lowest in acacia. Seven trisaccharides were detected from the samples, and the average content of trisaccharides was the highest in artificial honeys, which had high erlose content. The total content of disaccharides and trisaccharides was highest ($16.0{\pm}2.03%$) in chestnut honey and lowest ($9.70{\pm}1.75%$) in acacia honey.

• Journal of the Korea Organic Resources Recycling Association
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• v.31 no.1
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• pp.85-100
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• 2023

In this study, in order to improve the installation periodical inspection method of waste treatment facilities, we conducted on-site surveys of waste treatment facilities classified into six fields, grasped the problems of inspection methods, and made improvements accordingly. And revised the inspection method for waste treatment facilities. As a result, in the field of incineration and incineration heat recovery, inspection methods such as total temperature measurement and one-year TMS data comparison using a thermal imaging camera were established. And for the safety of the inspected person, it was applied so that the waste can be replaced with a document without opening it. In the case of landfill facilities, the details regarding the use of video information processing equipment and the management of facilities covering the upper part of the landfill facility are presented in the law, but the items that do not have a inspection methods were applied to the inspection method. In the case of Food Waste Treatment Facility, inspection methods were put in place to ensure compliance with standards for foul-smelling fish in odor control, a major cause of complaints. As a result, 10 out of 18 improvement proposals were reflected in the incineration and sterilization grinding, cement kiln, and incineration heat recovery facilities, and 11 out of 12 improvement proposals were reflected in the landfill facility. In the case of food distribution waste treatment facilities, 10 out of 12 improvement proposals were reflected, and a total of 31 inspection methods were improved.

• Membrane Journal
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• v.22 no.2
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• pp.120-127
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• 2012

In this study, separation of ethylbenzene from mixed xylene was performed by using TS-1 zeolite membrane. TS-1 zeolite membranes were prepared by microwave synthesis and changing the reaction temperature. MFI-type TS-1 membranes are synthesized on alumina tubes by functional coating using 3-chloropropyltrimethoxysilane (3CP-TMS). On top surface of interlayer, nano TS-1 crystals were seeded. To form interlayer, microwave-assisted growth of TS-1 zeolite was carried out and thin zeolite layers were produced. All of the prepared membranes are tested to separate ethylbenzene from mixed xylene at different operating temperatures. TS-1 membrane with zeolite seed synthesized at $170^{\circ}C$ compared to 120, $140^{\circ}C$ shows the best ethylbenzene separation at the operation temperature of $200^{\circ}C$ from ternary mixed xylene containing certain composition of ethylbenzene/p-xylene/m-xylene. (separation factor : 2.64, ethylbenzene flux : 1703.0 mol/$m^2{\cdot}s{\cdot}Pa$).