• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.625-635
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• 2021

The performance appraisal system is defined as general satisfaction with the performance appraisal system. It is used to assess employees' attitudes towards the fairness of the appraisal system, as well as their satisfaction with their knowledge of the appraisal system. This study aims to investigate the relationship between performance appraisal satisfaction and employee performance with equity as a mediator of this relation. There is limited research that studied the mediating effect of performance appraisal on the relationship between organizational justice and work performance. The research implemented the quantitative methodology throughout distributing questionnaires using google forms for data collection. Only 181 respondents out of 221 respondents answered the questionnaires. The data had been analyzed using the AMOS tool for performing structural equation modeling (SEM) analysis to validate the mediating relationship of equity and justice on the relationship between performance appraisals satisfaction and employees' performance. The results indicated that achieving organizational fairness and equity in the workplace can be done by the implementation of performance appraisal satisfaction, which can lead to higher productivity in the workplace, whichin turn will enhance the organization's image among its competitors.

• Investigative Magnetic Resonance Imaging
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• v.3 no.1
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• pp.13-19
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• 1999

MRI imaging provides many benefits such as noninvasive, 3-dimensional imaging capabilities. But it has relatively serious drawback that is the long data collection time, compared with other imaging modality. Many studies have been performed for fast MR imaging. But EPI and SEPI (4-6) are required to expensive hardware. In this paper, we introduce to Burst imaging technique. It can reduce imaging time by use of a mulitple RF excitation technique. Further it is easily implemented to the normal MRI system. But a pixel profile in the conventional burst sequence is so poor that excited area by burst sequence is a small portion of a pixel. This causes poor signal to noise ratio in burst image. therefore frequency sweeping of RF pulse for burst imaging sequence is proposed to improve pixel profile. A burst pulse train is shaped by liner or nonlinear frequency sweeping function so that all the spins within a pixel are excited, thereby improving the signal to noise ratio. It also shows that the pixel profiles are dependent on how frequency sweep is made. Computer simulations with Bloch equation and experimental results obtained using a 1.0 T NMR imaging system are presented.

• Journal of Digital Contents Society
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• v.18 no.2
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• pp.383-392
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• 2017

This paper introduces a real-time 3D model generation system that can process in real time from multi-view image acquisition to image-based 3D model generation. This system describes how to collect, transmit, and manage the HD images input from 18 cameras and explain the background separation and smooth 3D volume model generation process. This paper proposes a new distributed data transmission and reception method for real-time processing of HD images input from 18 cameras. In addition, we describe a codebook-based background separating algorithm and a modified marching cube algorithm using perspective difference interpolation to generate smooth 3D models from multi-view images. The system is currently being built with a throughput rate of 30 frames per second.

• The Journal of the Korea Contents Association
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• v.9 no.1
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• pp.23-29
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• 2009

This paper presents a capacity estimation of a storage system accumulating all data sensed during the lifetime of an individual human being. The calculation assumes modern data compression and data collection schemes based on wearable or implanted devices under ubiquitous environment. More than 76% of the storage area is found to be used for video data storage of common TV image quality. The remaining storage area is for data from other sensing organs including audio, taste, olfactory and tactual systems in addition to indexing information. Total storage area of around 600 tera bytes is needed to cover 100 years of human life including his fetal period.

• Journal of Satellite, Information and Communications
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• v.10 no.3
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• pp.102-108
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• 2015

With the constantly increasing demand of domestic and oversea satellite images, there is also a growing demand to rapidly acquire images after the satellite image collection planning of KOMPSAT-2/3/5. Therefore, it has been increasing to use the korea ground station and oversea ground station to keep pace with increased demand. The KARI is operating Data Ingestion System of the KOMPSAT-2/3 in Svalbard, where the satellite images have been received at least four or six times a day. The KARI is planning to operate oversea receiving system for KOMPSAT-5/3A. This paper introduces the polar data ingestion system operating in Norway, and presents the process of design and development for Polar Integration receiving system in preparation of multiple satellite operation.

• Korean Institute of Interior Design Journal
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• v.17 no.5
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• pp.123-132
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• 2008

It would be investigated how to take advantage of and structure color as form creation of modern architecture and tool of conception. Through this study, it was analyzed that color was introduced actively in the beginning stage of form creation as an image, as collection of data and analysis system, and as creation system of diagram. Also, it was used from the model making stage with experimental device, and was handling to experimental system of various materials and substances. Therefore, with the characteristics of color's originality, color was dealt to space creation system by tool from the process-oriented thought and had given the absolute value in form creation process. Meaning is that the color to be used as a tool in the planning contains a lot of possibilities and values in the architecture planning. Therefore the development of the system without initial planning of overall color scheme could affect the harmony and integration of the developed architecture. And the system could loose many vital concepts in the creation of the form. In execution of thinking process through the color, it'll be ensured that we can acquire the much better and more various result.

• Journal of Korean Society of Archives and Records Management
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• v.2 no.1
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• pp.119-131
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• 2002

The study designs and implements a KORMARC/EAD integrated system for the Myongji Digital Library Collections. The purpose of this paper is to design the metadata to Myongji Korean History Collections to provide digital information of high quality to clients, and to develop and implement a model for managing digital library collections. In order to test the model and the quality of the derived metadata, we built a metadata management system, which is connected to the existing KORMARC system. The system consists of two modules- a retrieval and an input module. While in the retrieve mode, one can retrieve KORMARC records of books and archival items, with links to modified EAD files for archival items or to image files for books, in the input mode, one can type two types of data such as a catalog data and an inventory data. Finally, we evaluated the proposed system via mail questionnaires, and propose three suggestions to make this system a much more comprehensive and effective system.

• Journal of Animal Science and Technology
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• v.66 no.1
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• pp.167-177
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• 2024

Iris segmentation is an initial step for identifying the biometrics of animals when establishing a traceability system for livestock. In this study, we propose a deep learning framework for pixel-wise segmentation of bovine iris with a minimized use of annotation labels utilizing the BovineAAEyes80 public dataset. The proposed image segmentation framework encompasses data collection, data preparation, data augmentation selection, training of 15 deep neural network (DNN) models with varying encoder backbones and segmentation decoder DNNs, and evaluation of the models using multiple metrics and graphical segmentation results. This framework aims to provide comprehensive and in-depth information on each model's training and testing outcomes to optimize bovine iris segmentation performance. In the experiment, U-Net with a VGG16 backbone was identified as the optimal combination of encoder and decoder models for the dataset, achieving an accuracy and dice coefficient score of 99.50% and 98.35%, respectively. Notably, the selected model accurately segmented even corrupted images without proper annotation data. This study contributes to the advancement of iris segmentation and the establishment of a reliable DNN training framework.

• Journal of Computing Science and Engineering
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• v.10 no.3
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• pp.95-101
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• 2016

In this study, we propose a new system for constructing parallel corpora for sign languages, which are generally under-resourced in comparison to spoken languages. In order to achieve scalability and accessibility regarding data collection and corpus construction, our system utilizes deep learning-based techniques and predicts depth information to perform pose estimation on hand information obtainable from video recordings by a single RGB camera. These estimated poses are then transcribed into expressions in SignWriting. We evaluate the accuracy of hand tracking and hand pose estimation modules of our system quantitatively, using the American Sign Language Image Dataset and the American Sign Language Lexicon Video Dataset. The evaluation results show that our transcription system has a high potential to be successfully employed in constructing a sizable sign language corpus using various types of video resources.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.3
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• pp.1189-1204
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• 2018

Detecting and capturing 3D human structures from the intensity-based image sequences is an inherently arguable problem, which attracted attention of several researchers especially in real-time activity recognition (Real-AR). These Real-AR systems have been significantly enhanced by using depth intensity sensors that gives maximum information, in spite of the fact that conventional Real-AR systems are using RGB video sensors. This study proposed a depth-based routine-logging Real-AR system to identify the daily human activity routines and to make these surroundings an intelligent living space. Our real-time routine-logging Real-AR system is categorized into two categories. The data collection with the use of a depth camera, feature extraction based on joint information and training/recognition of each activity. In-addition, the recognition mechanism locates, and pinpoints the learned activities and induces routine-logs. The evaluation applied on the depth datasets (self-annotated and MSRAction3D datasets) demonstrated that proposed system can achieve better recognition rates and robust as compare to state-of-the-art methods. Our Real-AR should be feasibly accessible and permanently used in behavior monitoring applications, humanoid-robot systems and e-medical therapy systems.