• Journal of the Korean Data and Information Science Society
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• v.19 no.2
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• pp.475-485
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• 2008

One of main issues in watermarking is to resolve the strength of watermark for solving the problem of trade-off between fidelity and robustness of watermarking. In the previous research, the strength of watermark has been resolved fixed value generally without considering local image characteristics such as image brightness, contrast, and edge. This paper proposes a new model to predict the strength of watermark considering local image characteristics such as image brightness, contrast, and edge for digital wavelet transform(DWT)-based image watermarking. For the study, psychological experiment was fulfilled to measure the human image perception and regression analysis showed the proposed model was statistically significant at the level of ${\alpha}\;=\;0.01$. Also the model is practically validated on fidelity and robustness of watermarking.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.9
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• pp.2334-2347
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• 2023

Metaverse services generate text data, data of ubiquitous computing, in real-time to analyze user emotions. Analysis of user emotions is an important task in metaverse services. This study aims to classify user sentiments using deep learning and pre-trained language models based on the transformer structure. Previous studies collected data from a single platform, whereas the current study incorporated the review data as "Metaverse" keyword from the YouTube and Google Play Store platforms for general utilization. As a result, the Bidirectional Encoder Representations from Transformers (BERT) and Robustly optimized BERT approach (RoBERTa) models using the soft voting mechanism achieved a highest accuracy of 88.57%. In addition, the area under the curve (AUC) score of the ensemble model comprising RoBERTa, BERT, and A Lite BERT (ALBERT) was 0.9458. The results demonstrate that the ensemble combined with the RoBERTa model exhibits good performance. Therefore, the RoBERTa model can be applied on platforms that provide metaverse services. The findings contribute to the advancement of natural language processing techniques in metaverse services, which are increasingly important in digital platforms and virtual environments. Overall, this study provides empirical evidence that sentiment analysis using deep learning and pre-trained language models is a promising approach to improving user experiences in metaverse services.

• Journal of Digital Contents Society
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• v.13 no.2
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• pp.255-262
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• 2012

Human motion tracking algorithm is receiving attention from many research areas, such as human computer interaction, video conference, surveillance analysis, and game or entertainment applications. Over the last decade, various tracking technologies for each application have been demonstrated and refined among them such of real time computer vision and image processing, advanced man-machine interface, and so on. In this paper, we introduce cost-effective and real-time human motion tracking algorithms based on depth image 3D point matching with a given superellipsoid body representation. The body representative model is made by using parametric volume modeling method based on superellipsoid and consists of 18 articulated joints. For more accurate estimation, we exploit initial inverse kinematic solution with classified body parts' information, and then, the initial pose is modified to more accurate pose by using 3D point matching algorithm.

• Nuclear Engineering and Technology
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• v.39 no.6
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• pp.703-716
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• 2007

As digital and computer technologies have grown, human-machine interfaces (HMIs) have evolved. In safety-critical systems, especially in nuclear power plants (NPPs), HMIs are important for reducing operational costs, the number of necessary operators, and the probability of accident occurrence. Efforts have been made to improve main control room (MCR) interface design and to develop automated or decision support systems to ensure convenient operation and maintenance. In this paper, an integrated decision support system to aid operator cognitive processes is proposed for advanced MCRs of future NPPs. This work suggests the design concept of a decision support system which accounts for an operator's cognitive processes. The proposed system supports not only a particular task, but also the entire operation process based on a human cognitive process model. In this paper, the operator's operation processes are analyzed according to a human cognitive process model and appropriate support systems that support each cognitive process activity are suggested.

• Journal of Fisheries and Marine Sciences Education
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• v.16 no.2
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• pp.227-237
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• 2004

Recently development trends in information technology expand the activity boundaries for human living beyond coastal zones. These rapid changes of paradigm are stimulating scientists and strategists to be encouraged in making adequate model for marine geographic information system (MGIS) and their applications. Coastal zones are places which are affected by many factors, such as water quality, tide, wave, atmosphere, population, industry, etc. Therefore information related to the coast has to be integrated and analyzed for managing it efficiently. GIS-based Ocean Informatics is suited for those purposes and used in the study for establishing and managing coastal geographic and environmental information system. This paper reviews the properties of ocean and coastal spaces, then defines some MGIS related terminologies for clarifying the scope of MGIS boundaries. In this study, coastal geographic information is established by digital geographic information and digital terrain information. Digital coast chart having information on digital chart and map can merge and analyze various coastal information and can be a useful tool for the coastal integrated management.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.47 no.3
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• pp.257-266
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• 2011

Recently, the manufacturers of life-jacket are very interested in the acquisition of USCG(US Coast Guard) approval because the acquisition of USCG approval has an important role in the purchasing decision of the buyer's. Be based on criterion of USCG, we studied how to predict the change of floating position of human model with life-jacket to verify the backside restore. For this, in this study, the human model and the lifejacket was modeled in three dimension, the application program for prediction of floating position was developed, and plugged-in commercial program.

• Journal of Digital Convergence
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• v.8 no.4
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• pp.47-57
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• 2010

The purpose of this study is to suggest the effective alternative plan of the human resource training in the new reproduction energy industry, here in Gwang-Ju area. Nowadays, we, Korea is confronted with great changing moment to reform the developmental model in social situation & economical paradigms. Based on the aspect, the study showed that how suitable place to carry out the aims in Gwangju area ; first, the good equipped natural environment for activating is apt to build the new reproduction energy industry. And next, the good skilled human resource training is to get into the newly industry. According, the various policy of educating manpower for activating new reproduction energy industry need to be driven in short and long term.

• Journal of the Korea Society of Computer and Information
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• v.21 no.3
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• pp.97-104
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• 2016

In this paper, we propose spatial information based simulator for user experience optimization and minimize real space complexity. We focus on developing simulator how to design virtual space model and to implement virtual character using real space data. Especially, we use expanded events-driven inference model for SVM based on machine learning. Our simulator is capable of feature selection by k-fold cross validation method for optimization of data learning. This strategy efficiently throughput of executing inference of user behavior feature by virtual space model. Thus, we aim to develop the user experience optimization system for people to facilitate mapping as the first step toward to daily life data inference. Methodologically, we focus on user behavior and space modeling for implement virtual space.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.8
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• pp.691-701
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• 2017

The barbell squat is a fundamental physical exercise for strengthening the lower body and core muscles. It is an integral part of training and conditioning programs in sports, rehabilitation, and fitness. In this paper, we proposed a virtual test framework for squat exercises using a Smith machine to simulate joint torques and muscle forces, based on an integrated product-human model and motion synthesis algorithms. We built a muscular skeletal human model with boundary conditions modeling the interactions between the human body and a machine or the ground. To validate the model, EMG, external forces, and squat motions were captured through physical experiments by varying the foot position. A regression-based motion synthesis algorithm was developed based on the captured squat motions to generate a new motion for a given foot position. The proposed approach is expected to reduce the need for physical experiments in the development of training programs.

• The Journal of Information Systems
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• v.17 no.2
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• pp.95-112
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• 2008

The development of the Information Technology(IT) has brought enormous change to the human life, not even only to the politics, economy, society, and cultures, but all the way through the people's consciousness and cultural patterns. However, the information society resulted information inequality issues and especially to those disabled people, who have more difficulties on the technology adaptation, the "digital divide" symptom is significantly found. At present the rapid development of IT has gone beyond the level of the information society and it is accelerating the ubiquitous society that will combine people, computers, and all objects into one. And during the time of ubiquitous the "digital divide" will still exist. This research is focused on the digital divide of disabled people that were insufficiently covered in the research of digital divide and ubiquitous. From the empirical study of the effect that the disabled contributes on the service usability in U-City, the factors of background of the digital divide, and the difference of such factors in types of sex, ages, disabled types, and disabled class, and finally how the ubiquitous divide of the disabled affects have been researched. Based on the proposed study model and by analyzing the model by structural equation, following resulted was gained. (1) With the TAM (TAM : Technology Acceptance Model), which is commonly used in the studies of IT devices and services, the digital divide of the disabled cases cannot be identified sufficiently since it is not eligible for Using Intention of U-City Services. (2) In case of the disabled, the mental factors like willingness to overcome the impediment and accessibility like environment to meet the information services and ability to access the services are more effective on Using Intention of U-City Services rather than TAM.