• Journal of The Korean Association of Information Education
• /
• v.24 no.4
• /
• pp.401-412
• /
• 2020

Team-based programming methods are widely applied to solve various difficulties that pre-service teachers experience in the programming lessons. To prepare effective collaboration strategies necessary for them, it is necessary to analyze various collaborative factors that affect learners' programming competencies. Therefore, in this article, a questionnaire survey was conducted by dividing learners' collaboration factors into individual and team competencies, and the relationship between learners' programming competencies was analyzed. As a result of the verification, the program design competency showed significant results in all elements of the learner's personal competency, team techniques such as data sharing skills necessary for collaboration, and team collaboration. It was analyzed that an individual's understanding of learning and team collaboration influenced the program implementation competency. In addition, the group with relatively high team technique showed significant differences in programming competence, interest, and satisfaction. Accordingly, by linking meaningful factors related to individual and team competencies according to the programming process, a collaborative strategy practically necessary for pre-service teachers was suggested.

• The Journal of the Korea Contents Association
• /
• v.13 no.8
• /
• pp.474-481
• /
• 2013

The purpose of this study is that pre-service teacher are able to design creative instruction based on NFTM-TRIZ for building up their continuous creative thinking and promoting their creative instruction activities. NFTM-TRIZ is a educational technology system to form and develop creative thinking from child to adult continuously based on TRIZ theory. TRIZ is the thinking technique of creative problem solving that can be the tool of inventory solutions by finding and get over the key of contradiction that is necessary to obtain ideal final results of suggested problems. The subjects for this study were 90 pre-service teachers who are attending third and fourth graders of Teachers' College in G university and are taking 'Curriculum and Educational Evaluation'. The creativity program for this study was carried out for ten minutes at the end of lectures. The verification for this study results were performed two faces. First, pre-service teachers presented teaching and learning plan for one time used 8 Steps' Teaching and Learning Model based on NFTM-TRIZ. Second, researcher got feedback from them about this creative program.

• Journal of Korean Society of Water and Wastewater
• /
• v.21 no.5
• /
• pp.601-607
• /
• 2007

In order to maintain constant residual chlorine in sedimentation basin, It is necessary to develop real time prediction model of residual chlorine considering water treatment plant data such as water qualities, weather, and plant operation conditions. Based on the operation data acquired from K water treatment plant, prediction models of residual chlorine in sediment basin were accomplished. The input parameters applied in the models were water temperature, turbidity, pH, conductivity, flow rate, alkalinity and pre-chlorination dosage. The multiple regression models were established with linear and non-linear model with 5,448 data set. The corelation coefficient (R) for the linear and non-linear model were 0.39 and 0.374, respectively. It shows low correlation coefficient, that is, these multiple regression models can not represent the residual chlorine with the input parameters which varies independently with time changes related to weather condition. Artificial neural network models are applied with three different conditions. Input parameters are consisted of water quality data observed in water treatment process based on the structure of auto-regressive model type, considering a time lag. The artificial neural network models have better ability to predict residual chlorine at sediment basin than conventional linear and nonlinear multi-regression models. The determination coefficients of each model in verification process were shown as 0.742, 0.754, and 0.869, respectively. Consequently, comparing the results of each model, neural network can simulate the residual chlorine in sedimentation basin better than mathematical regression models in terms of prediction performance. This results are expected to contribute into automation control of water treatment processes.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.2
• /
• pp.503-523
• /
• 2022

Nowadays, many attendance applications utilise biometric techniques such as the face, fingerprint, and iris recognition. Biometrics has become ubiquitous in many sectors. Due to the advancement of deep learning algorithms, the accuracy rate of biometric techniques has been improved tremendously. This paper proposes a web-based attendance system that adopts facial recognition using open-source deep learning pre-trained models. Face recognition procedural steps using web technology and database were explained. The methodology used the required pre-trained weight files embedded in the procedure of face recognition. The face recognition method includes two important processes: registration of face datasets and face matching. The extracted feature vectors were implemented and stored in an online database to create a more dynamic face recognition process. Finally, user testing was conducted, whereby users were asked to perform a series of biometric verification. The testing consists of facial scans from the front, right (30 - 45 degrees) and left (30 - 45 degrees). Reported face recognition results showed an accuracy of 92% with a precision of 100% and recall of 90%.

• Transactions of the KSME C: Technology and Education
• /
• v.1 no.2
• /
• pp.199-204
• /
• 2013

In this paper, a new system requirement management tool and its application on the Urban Transit Maglev Project were introduced. In most R&D projects on complexity system such as transportation system, Systems Engineering(SE) activities are included on each project, and SE teams are using commercial computer-based tools to perform the SE activities. Even though SE tools help to manage huge data and documents on engineering efficiently, but well-designed functions of SE tools which support SE activities are not sufficiently used on the whole process of system engineering. In order to computer-based SE tools are to be effectively used on project management, most engineers who takes engineering and coordination roles, at least sub-project managers should be familiar to the tool and could be easily use it, but usability of commercial SE tools are very difficult for normal engineers with no experience on SE activities and SE tools. To overcome this difficulty, we developed a new system requirement management tool considering each user's scenario on using engineering tools. The developed tool could not cover whole SE processes, but designed to perform requirement engineering such as system requirements(SRs) management, specification management, traceability management, SRs' verification activity management and so on. All the entities on SR database are inter-connected by pre-recognized traceabilities, so even non-specialists on SE can easily browse the database and find entities concern, and linked information such as interacted entities, legal or engineering constraints, coordination documents, status of development and verification and so on. Also functions for SR verification tools, TPM(Technical Performance Measure) tools, DB searching tools with traceability, and report generation tools are included on the system.

• Proceedings of the KIEE Conference
• /
• 2004.10a
• /
• pp.207-209
• /
• 2004

The conventional pulse width modulation dc to at inverters have a defect that all power devices are switched at high switching frequency. Therefore switching losses are significant. This paper proposed a dual-stage inverter that full bridge switches are operating at low output frequency while a high switching frequency are performed by a pre-inverter switch. The proposed inverter is shown to have small switching losses. Simulation and experiments are performed for verification.

• Transactions of the Korean Society of Mechanical Engineers
• /
• v.18 no.12
• /
• pp.3345-3356
• /
• 1994

A general purpose program, TURBO-3D, for the analysis of 3-D fluid flow in complex geometry has been developed, which employs a standard $k-\varepsilon$ turbulence model and a general nonorthogonal grid system. For the purpose of verification of the program and testing the applicability, turbulent flows in an S-shaped diffuser and turbulent flows over an backward facing step are solved and compared with the earlier results. Comparison with the results by the STAR-CD program has been also made for the same flow configuration and grid structure. The agreements are excellent and hence the program has been verified. Since the present program is applicable only on limited flow phenomena and lacks the pre-and post processor, further improvements toward these directions are being made.

• Journal of the Korean Society of Systems Engineering
• /
• v.4 no.2
• /
• pp.15-26
• /
• 2008

The Korean High-speed train was developed during 1996 to 2007. This development project consists of many sub-projects and the train-system includes a lot of sub-systems. In order to promote the project on planned cost and time effectively, we tried to apply systems engineering process during the whole life-cycle. The purpose of this paper is to introduce the systems engineering process applied to this project. Activities carried out in each phase such as pre-design, detailed-design, integration & verification are described.

• Proceedings of the KIEE Conference
• /
• 2005.07a
• /
• pp.834-836
• /
• 2005

This paper describes algorithms for enhancing the reliability of measurements to verify the performance of energy efficiency programs with an simple method. Fundamentally, measurements contain erroneous data because of the various causes. and so proper procedures or schemes are prepared before the performance is evaluated. In this paper, we propose an approach for detecting and correcting an adulterate data, such as missing and bad data. Erroneous data are detected or corrected by pre-described measuring conditions, ensemble average, and standard deviation of measurements at measuring time. The proposed algorithms are tested by field test measurements. From case studies we drew the promising results.

• Journal of the Korean Society of Manufacturing Process Engineers
• /
• v.14 no.1
• /
• pp.105-110
• /
• 2015

In this study, a high-speed procedure to be used in composite molding technology is developed for the production of a hybrid supercapacitor in a progressive and revolutionary current in a production system, as are the related operating conditions. Mold parts with solid modeling, the ease of programming of future mold product designs, tolerance management, and pre-explode tests by the building of a progressive die design system using Cimatron_E10 Die Design Software for the strip layout are done. The capacity of the super-hybrid composite mold design will save time and money through its verification of the manufacture of molds. We plan to apply this to future related products for production cost savings of more than 30% achieved by considering the components of the production costs, labor, and material costs of production as compared to conventional production methods.