• Journal of Korea Multimedia Society
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• v.19 no.11
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• pp.1837-1851
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• 2016

Newspaper reader mobile applications using text-to-speech (TTS) function enable blind people to read newspaper contents. But, tables cannot be easily read by the reader program because most of the tables are stored as images in the contents. Even though we try to use OCR (Optical character reader) programs to recognize letters from the table images, it cannot be simply applied to the table reading function because the table structure is unknown to the readers. Therefore, identification of exact location of each table cell that contains the text of the table is required beforehand. In this paper, we propose an efficient image processing algorithm to recognize all the cells in tables by identifying columns and rows in table images. From the cell location data provided by the table column and row identification algorithm, we can generate table structure information and table reading scenarios. Our experimental results with table images found commonly in newspapers show that our cell identification approach has 100% accuracy for simple black and white table images and about 99.7% accuracy for colored and complicated tables.

• Journal of the Ergonomics Society of Korea
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• v.32 no.3
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• pp.253-258
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• 2013

Objective: This study investigates user performance and user perceptions of dynamic Chinese text displays (Leading display and RSVP display) when users search for target information. Background: Today, information searching with dynamic displays is widely used in TV programs, on Internet advertisements, for traffic information systems, and more. Method: A human factors experiment was conducted to compare both displays. Eighteen subjects participated in evaluating two simulated interfaces for the leading display and the RSVP display. Results: The results show that the leading display was better in terms of search time and certain subjective measurements (Easiness, frustration, anxiety). The latter results are consistent with the conclusions of other research efforts showing that dynamic displays are more effective and efficient when reading information. Conclusion: The leading display is more useful for Chinese users in terms of both information searching and information reading. Application: This study helps design dynamic displays written in Chinese texts.

• Journal of Digital Contents Society
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• v.16 no.5
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• pp.707-715
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• 2015

With the development of computer technology, the multimedia mediums that allow for animated videos, conversational illustrations are increasingly receiving attention for materials for educational purposes. Accordingly, there is a need to research whether multimedia resources and material is more effective compared to traditional educational material and resources. This study aims to compare traditional English reading and writing learning methods with learning methods using educational multimedia mediums such as illustrations or animation. Students were divided into a experimental group and a control group, and during 6 months the groups were exposed to different educational resources and on the basis of student evaluation feedback and grades, a new approach to English education is offered.

• Journal of the Korea Institute of Building Construction
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• v.11 no.5
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• pp.468-481
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• 2011

This research presents a strategy and information system to manage the logistics of delivery ready mixed concrete (RMC) under the integrated environment of PMIS+RFID. PMIS is system tool and technique used in construction sectors to delivery information. Information that can be extracted electronically in real time is more valuable than data gathered and maintained manually. RFID technology can help to improve data accuracy through supply chains and by identifying products and objects at specific points through automatic identification. The objectives of these two implementations can be able to improve the efficiency of logistics management for RMC truck process, and to verify the technical and practical feasibility of PMIS+RFID application in construction industry. This may be realistic given the dynamics of daily activities on construction sites. This research is focused on examples on real world case study, applications and research theme related and connected to PMIS+RFID technology. It demonstrated that PMIS+RFID technology has been automatically implemented and has shown process information about the RMC truck and the overall status information about it, both quickly and accurately. As a result, the construction site where needs 300 $m^3$ pouring (50 RMC trucks) per day can be reduced total 250 minutes. Moreover, this time saving is related to the labour cost saving. From the case studies, RFID+PMIS system was proven in terms of effectiveness rather than current method.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.753-757
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• 2008

The objects of this study are to increase the efficiency and competitiveness for construction management and field supervision by using IT technology which is a trend of construction industry thesedays. Using RFID technology can play an important role to achieve the goal, but it is necessary to research a standard of using frequency, specific, protocol, package method and reading method because it is hard to apply RFID to physical, chemical, environmental specifics. In this study as a part of planning research to standardize, a limitation item Is conducted with RFID tag attached building materials, and RFID Tag goods which solve the restriction are produced to conduct a field application test. From the result, available reading distance is different according to physical and environmental specifics. Furthermore because the different application method and attaching method make a various management efficiency, the current management of construction materials is analyzed and applied to a construction field to provide to various limitation items and recovery plan.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.305-310
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• 2023

This study is an example of a class of bibliotherapy through Lee Chung-joon's novel Snowy Road. Bibliotherapy proceeds through the process of identification, catharsis, expression, insight, and application through reading. Through research, students objectively examine the situation of the character in the novel and compare it with their own situation. Students evaluate the situation of the character in the novel, experience the various life positions of the character in the novel by answering "What would you do if I were a character in the novel," and express their willingness to live differently from their lives. At the same time, I look into my relationship with my parents and seriously think about whether there is a problem and how to solve it if there is one. Through this process, students specifically suggest ways to think about and solve their emotions and problems. In the end, students' hurt feelings can be partially or sufficiently healed through reading. Through this study, it is expected that the method of bibliotherapy will be more concrete and develop in a positive direction.

• Journal of Korean Academy of Nursing Administration
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• v.18 no.1
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• pp.23-32
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• 2012

Purpose: The purpose of this study was to assess the clinical application of a bar code medication administration and blood transfusion system and to identify its effects from the aspect of patient safety and nurse satisfaction in a tertiary hospital. Methods: The system in this study was PDA with bar code reading capability and wireless networking function. The logs created during application of the system and administration error reports were analyzed. For nurses' satisfaction with the system, data were collected from 337 nurses using the instrument developed by Otieno et al. and analyzed using descriptive statistics. Results: The system application rate was 98.8%, and the main failure cases in the system application included bar code or network related factors. When the system was applied, 0.02% of errors were prevented. The nurses were satisfied with the system from the aspect of patient safety, however relatively less satisfied with the system from the aspect of work efficiency. Conclusion: The results of the study indicate the usefulness for patient safety of applying the bar code medication administration and blood transfusion system to clinical practice. However technological improvements including bar code and network communication are necessary to ensure higher work efficiency in nursing practice.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2006.05a
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• pp.185-187
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• 2006

This study deals with characterization and the application of magnetoelasticity as a device which measures existing steel stress. Available method of measuring existing stress needs break the concrete and cut the steel bar. But Proposed method doesn't need to cut the steel bar. A successful application of magnetoelasticity depends on the linearity of the relationship between the elastic and magnetic response due to loading. To investigate the correlation between two, steel bars are loaded in tension under uniaxial loading while the magnetic reading is recorded. Results showed linearity or partial-linearity of the elastic behavior of steel bars in relation to magnetic change. In the paper, the various factors affecting the measurements are also discussed.

• Proceedings of the KIEE Conference
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• 2001.04a
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• pp.69-71
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• 2001

In this paper, we propose a new communication protocol for remote metering in electric power meters, also define necessary functions for it. The new protocol is based on the international metering protocol. IEC 1107, 62056, DNP 3.0. This protocol has 4-layered architecture, which has physical. data link, lower application, and upper application layers. For each layer, definitions and detailed functions are introduced. The protocol will be used for communication between the meters and the metering computer(or AMR system). KEPCO (Korea Electric Power Corporation) plans to adopt this protocol as a part of a new metering standard for electric power meters.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.1-25
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• 2020

In this paper, we suggest an application system architecture which provides accurate, fast and efficient automatic gasometer reading function. The system captures gasometer image using mobile device camera, transmits the image to a cloud server on top of private LTE network, and analyzes the image to extract character information of device ID and gas usage amount by selective optical character recognition based on deep learning technology. In general, there are many types of character in an image and optical character recognition technology extracts all character information in an image. But some applications need to ignore non-of-interest types of character and only have to focus on some specific types of characters. For an example of the application, automatic gasometer reading system only need to extract device ID and gas usage amount character information from gasometer images to send bill to users. Non-of-interest character strings, such as device type, manufacturer, manufacturing date, specification and etc., are not valuable information to the application. Thus, the application have to analyze point of interest region and specific types of characters to extract valuable information only. We adopted CNN (Convolutional Neural Network) based object detection and CRNN (Convolutional Recurrent Neural Network) technology for selective optical character recognition which only analyze point of interest region for selective character information extraction. We build up 3 neural networks for the application system. The first is a convolutional neural network which detects point of interest region of gas usage amount and device ID information character strings, the second is another convolutional neural network which transforms spatial information of point of interest region to spatial sequential feature vectors, and the third is bi-directional long short term memory network which converts spatial sequential information to character strings using time-series analysis mapping from feature vectors to character strings. In this research, point of interest character strings are device ID and gas usage amount. Device ID consists of 12 arabic character strings and gas usage amount consists of 4 ~ 5 arabic character strings. All system components are implemented in Amazon Web Service Cloud with Intel Zeon E5-2686 v4 CPU and NVidia TESLA V100 GPU. The system architecture adopts master-lave processing structure for efficient and fast parallel processing coping with about 700,000 requests per day. Mobile device captures gasometer image and transmits to master process in AWS cloud. Master process runs on Intel Zeon CPU and pushes reading request from mobile device to an input queue with FIFO (First In First Out) structure. Slave process consists of 3 types of deep neural networks which conduct character recognition process and runs on NVidia GPU module. Slave process is always polling the input queue to get recognition request. If there are some requests from master process in the input queue, slave process converts the image in the input queue to device ID character string, gas usage amount character string and position information of the strings, returns the information to output queue, and switch to idle mode to poll the input queue. Master process gets final information form the output queue and delivers the information to the mobile device. We used total 27,120 gasometer images for training, validation and testing of 3 types of deep neural network. 22,985 images were used for training and validation, 4,135 images were used for testing. We randomly splitted 22,985 images with 8:2 ratio for training and validation respectively for each training epoch. 4,135 test image were categorized into 5 types (Normal, noise, reflex, scale and slant). Normal data is clean image data, noise means image with noise signal, relfex means image with light reflection in gasometer region, scale means images with small object size due to long-distance capturing and slant means images which is not horizontally flat. Final character string recognition accuracies for device ID and gas usage amount of normal data are 0.960 and 0.864 respectively.