• International Journal of Highway Engineering
• /
• v.16 no.5
• /
• pp.91-98
• /
• 2014

PURPOSES : This study is to develop a automate road mapping system using ARASEO(Automated Road Analysis and Safety Evaluation TOol) for road management. METHODS : The road survey van named ARASEO(Automated Road Analysis and Safety Evaluation TOol) was used to generate highway drawings for Korea National Road number 37 automatically. In order to generate the highway drawings for purpose of road management, it is required to acquired the information for highway alignment, road width and road facilities such as safety barrier and road sign. Therefore the survey van acquired and analyzed the road width, median and guardrail data using rear side laser sensor of ARASEO and recognized the traffic control sign and chevron sign using foreside camera images. Also the highway alignment which is the basic information for highway drawing can be analyzed by acquisition the every 1m positional and attitude data using GPU and IMU sensor and developed algorithm. Finally, in this research the CAD based drawing software was developed to draw highway drawing using the analysis result from ARASEO. RESULTS : This study showed the comparison result of the surveyed road width and drawing data. To make the drawing of the road, we made the Autocad ARX program witch run in CAD menu interface. CONCLUSIONS : Using this program we can create the road center line, every 500m horizontal and vertical ground plan drawing automatically.

• The Journal of the Korea Contents Association
• /
• v.20 no.5
• /
• pp.37-45
• /
• 2020

The purpose of the study is to explore the perceptions or attitudes about utilizing the AWE(Automated Writing Evaluation), Grammarly in English writing. A total of 131 students who are in first grade and in beginner level participate in the study. As a research tool of the study, pre and post-surveys, pre and post-tests, and learning journals were collected and analyzed. The study was conducted for 15 weeks in the 2^nd semester of 2019. According to the results, the findings are as follows. First, the students in the study had difficulty with English grammar and found it useful to get English feedback in English writing. Next, the students showed positive attitudes toward the use of Grammarly. It was helpful for English learning and assignment performance and showed high usefulness. Finally, Grammarly's effect showed a statistically significant result between the pre and post-tests. Based on the results some suggestions are as follows. First, let the students take some time with the program to use to operate. Second, teachers have to make the students understand that AWE's feedback is not always correct. Lastly, it should be provided with teachers' feedback.

• The Journal of Korean Institute for Practical Engineering Education
• /
• v.4 no.2
• /
• pp.91-97
• /
• 2012

The automated visual inspection system (machine vision system) for quality assurance is an important factory automation equipment in the manufacturing industries, such as display, semiconductor, etc. The world market of the machine vision components is expected 18 billon dollars in 2015. Therefore, there is a lot of demand for the machine vision engineers. However, there are no technical training courses for machine vision technologies in vocational schools, colleges and universities. In this paper, we propose a technical training program for the machine vision technology. The total time of training is 30 to 60 hours and the training program can operate flexibly by student's major, a priori knowledge and education level.

• Journal of Advanced Navigation Technology
• /
• v.24 no.4
• /
• pp.314-321
• /
• 2020

Logic automated stimulus and response (LASAR) software is an automatic test program development tool for logic function test and fault detection of avionics components digital circuit cards. LASAR software needs to the information for the logic circuit function and input and output of the device. If there is no component information, normal component modeling is impossible. In this paper, component modeling is carried out through reverse design of programmable logic device (PLD) device without element information. The developed LASAR program identified failure detection rates through fault simulation results and single-seated fault insertion methods. Fault detection rates have risen by 3% to 91% for existing limited modeling and 94% for modeling through the reverse design. Also, the 22 case of stuck fault with the I/O pin of EP310 PLD were detected 100% to confirm the good performance.

• Journal of Biosystems Engineering
• /
• v.38 no.4
• /
• pp.228-239
• /
• 2013

Purpose: The objectives of this study were to develop an automated disinfectant dilution system, and an automated data management system for spraying amount for resolving uncertainty problem. Methods: Proper diluting rate was made by a controlled volume pump for liquid disinfectant and a screw conveyer pump for solid disinfectant. The water capacity of disinfecting system of 400 L was controlled by two water level sensors. The water quantity of water tank was controlled by the signals which were produced by the water level sensors. Signals were processed by Labview Programming, and ON/OFF of solenoid valve that was used for controlling water supplying to water tank, was controlled by SSR. The operating time of pumps for disinfectant was controlled quantitatively. A turbine flowmeter was used for development of automated measurement system for spraying amount of disinfectant. In order to save the flowmeter data and to control the spraying system, a multi-function data logger was used, and it was processed and saved in Excel file by a program developed in this study. Results: Labview 2010 was used for programming to control the automated measurement system for spraying amount of disinfectant. Results showed that the relationship between flowmeter value and time had a significant linear relationship such as 0.99 of $R^2$. Generally, 6.74 L/s of diluted disinfectant is sprayed for a vehicle passing through the disinfection system (about 15 seconds). Test results showed that average error between the measured spraying amount and the flowmeter data was 50 mL, and the range of error was 1.3%. Since the amount and time of spraying could be saved in real-time by using the spreadsheet files which could not be modified arbitrarily, it made possible to judge objectively whether the disinfection spraying was performed or not. Test results of spraying liquid and solid disinfectant showed that the errors between the measured discharge rate and the theoretical one were ranged within 3-4% for various dilution rates. Conclusions: The disinfection system developed would be working accurately. The automated spraying data base management system satisfied the purpose of this study. The automated dilution process system developed in this study could discharge liquid and solid disinfectant with accurate dilution rate, relatively.

• Journal of Institute of Control, Robotics and Systems
• /
• v.10 no.7
• /
• pp.643-648
• /
• 2004

Most of shoes manufacturing processes are not yet automated, which puts restrictions on the increase of productivity. Among them, adhesive application processes particularly are holding the most workers and working hours. In addition, its working conditions are very poor due to the toxicity of adhesive agents. In case of automating adhesive application processes by using robots, the robot teaching by playback is difficult to produce high productivity because the kinds of shoes to be taught mount up to several thousands. Therefore, it is essential to generate the robot working paths automatically according to the kind, the size, and the right and left of shoes, and also to teach them to the robot automatically. This study deals with automated adhesive spraying to shoe outsoles and uppers by using a robot, and develops the program to generate three-dimensional robot working paths off-line based on CAD data. First, the three-dimensional data of an outsole outline or an upper profiling line are extracted from the two-dimensional CAD drawing file or the three-dimensional scanner. Next, based on the extracted data and the nozzle conditions for adhesive spraying, a robot working path is generated automatically. This research work is the core in automating adhesive spraying processes, and will do much for increasing productivity of shoes manufacturing.

• Korean Journal of Community Nutrition
• /
• v.4 no.2
• /
• pp.149-156
• /
• 1999

This study was due to investigate the dietary intakes, serum lipids and other hematological indices in female adolescent smokers. The subjects were 85 smokers, whose average pack-year(smoking years on the basis of one pack of cigarettes per day) was 1.26 and 87 nonsmokers who were female high school students in Seoul. An anthropometric measreument was performed and % body fat was also analyzed by the Bioelectrical Impedance Fatness Analyzer(GIF-891). Dietary intakes and food habits were examined through questionnaires and nutrient intakes were analyzed by the Computer Aided. Nutritional analysis program for professional(CAN-pro). Serum TG, HDL-cholesterol and total-cholesterol levels were measured with test kits. Serum glucose, albumin, GOT and GPT were measured by automated dry chemistry system, SPOTCHEM 4410. Hemoglobin, hematocrit, RBC, WBC and MCV were determined by Semi Automated Microcell Counter(F-520). All data were statistically analyzed by SAS PC package program. There was no significant difference in the anthropometric measurements between smokers and nonsmokers. The caloric intake in adolescent smokers tended to be higher than that of nonsmokers but the difference was not statistically significant. In addition, there was no significant difference between smokers and nonsmokers in biochemical indices. Analysis of serum lipids showed that the serum levels of total-cholesterol and LDL-cholesterol of nonsmokers were unexpectedly significantly higher(p<0.05) than those of smokers. Overall results indicate that smoking itself with short pack-year in healthy female adolescent did not seem to influence apparent health and nutritional status.

• Journal of KIISE:Software and Applications
• /
• v.31 no.10
• /
• pp.1304-1319
• /
• 2004

We can significantly reduce the cost o# program testing by automating the process of test data generation. Test data generation usually concerns identifying input values on which a selected path is executed. Although lots of research has been done so far, there still remains a lot of issues to be addressed. One of the issues is the shape problem. The shape problem refers to the problem of figuring out a shape of the input data structure required to cause the traversal of a given path. In this paper, we introduce a new method for the shape problem. The method converts the selected path into static single assignment (SSA) form without pointer dereferences. This allows us to consider each statement in the selected path as a constraint involving equality or inequality. We solve the constraints to get a solution which will be represented in terms of the points-to relations for each input variable. Simple, but illustrative examples are given to explain the proposed method.

• The KIPS Transactions:PartD
• /
• v.17D no.4
• /
• pp.297-310
• /
• 2010

Recently, a new testing technique called concolic testing receives lots of attention. Concolic testing generates test data by combining concrete program execution and symbolic execution to achieve high test coverage. CREST is a representative open-source test tool implementing concolic testing. Currently, however, CREST only deals with integer type as input. This paper presents a new rule for automated test data generation in presence of inputs of pointer type. The rules effectively handles multi-level stack-directed pointers that are mainly used in C programs. In addition, we describe a tool named vCREST implementing the proposed rules together with the results of applying the tool to some C programs.

• The Korean Journal of Emergency Medical Services
• /
• v.21 no.3
• /
• pp.17-33
• /
• 2017

Purpose: The purpose of the study was to investigate knowledge and attitudes of students majoring in health-related fields toward automated external defibrillator (AED) and to identify the influencing factors of knowledge and attitudes in AED use among the students. Methods: Data were collected from 346 students and analyzed using descriptive statistics, t-tests, one-way ANOVA, post hoc $Scheff{\acute{e}}$ test, Pearson's correlation coefficient, and hierarchical multiple regression analysis, with SPSS Win 20.0 program. Results: Overall knowledge of AED in health-related major students, except paramedics and physical therapy was relatively low while attitudes were at moderate level. There were statistically significant differences in knowledge according to age, grade, major, cardiopulmonary resuscitation (CPR) awareness, exposure to AED and CPR education; and differences in attitude according to major, health status, health awareness, CPR awareness, exposure to AED, and CPR education. Significant factors explained 63% of knowledge on AED (F= 43.96, p<.001) and 37% of attitudes on AED (F= 15.84, p<.001). Conclusion: The study findings suggest that systemic education programs on AED should be implemented during undergraduate curriculum to improve survival rate of sudden cardiac arrest.