• Journal of KIISE:Computing Practices and Letters
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• v.13 no.4
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• pp.226-230
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• 2007

In the conventional desktop PC environment, keyboard and mouse are used to process the user input and monitor displays the visual information as an output device. In order to manipulate the digital information, we move the virtual cursor to select the desired graphical icon on the monitor The cursor represents the relative motion of the physical mouse on the desk. This desktop metaphor does not provide intuitive interface through human sensation. In this paper, we introduce a novel tangible interface which allows the user to interact with computers using a physical tool called "Smartpuck". SmartPuck system bridges the gap between analog perception and response in human being and digital information on the computer. The system consists of table display based on a PDP, SmartPuck equipped with rotational part and button for the user's intuitive and tactile input, and a sensing system to track the position of SmartPuck. Finally, we will show examples working with the system.

• The Journal of Korean Society for School & Community Health Education
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• v.20 no.2
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• pp.81-91
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• 2019

Objectives: It helps dental clinic to work 1:1 consulting and select the properties of the Kakao Talk message. The study was designed to determine the influence of users cognitive and emotional responses by message attribute that affect intention of use of dental clinic. Methods: This study targeted 297 peple Kakao Talk users aged 20-50 s, in Seoul, Gyeonggi-do and Incheon from, February 6 to April 7, 2017. We analyzed the data with frequency analysis, t-test, one-way ANOVA, and multiple regression analysis by using SPSS ver 24.0(SPSS Inc, Chicago, USA). The significance level for significance was set at 0.05. Results: Among the user's responses about the event type Kakao talk message, the ease(${\beta}=0.121$, p<0.01), usefulness(${\beta}=0.148$, p<0.001), affinity(${\beta}=0.471$, p<0.001), satisfaction(${\beta}=0.249$, p<0.001). affected intention of use of dental clinic. Among the user's responses about the dental information type, the ease(${\beta}=0.150$, p<0.05), expertise(${\beta}=0.151$, p<0.05), satisfaction(${\beta}=0.237$, p<0.001) affected intention of use of dental clinic(p<0.05). Among the user's responses about the general public relations type, the expertise(${\beta}=0.254$), affinity(${\beta}=0.193$), satisfaction(${\beta}=0.474$) affected intention of use of dental clinic(p<0.001). Conclusion: It is necessary to elicit a positive intention of use of dental clinic through a highly emotional response from the users to improve the image of the dental clinic and to attract patients.

• Atmosphere
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• v.29 no.1
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• pp.75-86
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• 2019

In this paper, we introduce a novel Climate & Environment Database System (CEDS). The CEDS is developed by the National Institute of Meteorological Sciences (NIMS) to provide easy and efficient user interfaces and storage management of climate model data, so improves work efficiency. In uploading the data/files, the CEDS provides an option to automatically operate the international standard data conversion (CMORization) and the quality assurance (QA) processes for submission of CMIP6 variable data. This option increases the system performance, removes the user mistakes, and increases the level of reliability as it eliminates user operation for the CMORization and QA processes. The uploaded raw files are saved in a NAS storage and the Cassandra database stores the metadata that will be used for efficient data access and storage management. The Metadata is automatically generated when uploading a file, or by the user inputs. With the Metadata, the CEDS supports effective storage management by categorizing data/files. This effective storage management allows easy and fast data access with a higher level of data reliability when requesting with the simple search words by a novice. Moreover, the CEDS supports parallel and distributed computing for increasing overall system performance and balancing the load. This supports the high level of availability as multiple users can use it at the same time with fast system-response. Additionally, it deduplicates redundant data and reduces storage space.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.620-631
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• 2021

The study aim to test the effect of voice agent's preceding utterance type on the user experience in the smart home contexts by conversation types. Based on two types of conversation (task-oriented vs. relationship-oriented conversations) and two types of utterance (preceding vs. response utterances), four different scenarios were designed for experimental study. A total of 62 participants were divided into two groups by utterance type, and exposed to two scenarios of the conversation types. Likeability, psychological reactance, and perceived intelligence were measured for the user experience of conversational agent. The result showed main effects of likeability in task-oriented conversations, and of psychological reactance in preceding utterances. The interaction effect demonstrated that preceding conversation improved the likeabilitty and perceived intelligence in the task-oriented conversations.

• Journal of Korean Library and Information Science Society
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• v.52 no.2
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• pp.303-330
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• 2021

The coronavirus infection-19 (hereinafter referred to as Corona 19) that occurred last year has not been ended until now. There have also been major changes in the library environment. This study focuses on changes in the library environment due to prolonged infectious diseases. In addition, it aims to derive implications for library services in the New Normal era by analyzing changes in user needs over time. For this purpose, we have comprehensively summarized the response activities of libraries due to the spread of Corona 19 in 2020, and analyzed changes in user needs that appeared on social media. Key terms were selected by collecting 496,741 tweets related to libraries in 2019 and 2020, and analysis by year and period by operation type was conducted. Through the analysis, the needs of library users in 2020 were classified into four issues, and the implications for each issue were derived.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1279-1286
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• 2021

This study suggests the user's needs for a smart parking service that enables parking lot search and advance reservation service, and is a study on the user's preference selection model related to fees (reservation fee, penalty fee), etc. Two types of user preference models in the form of logit models were constructed by composing a response questionnaire for smart parking service. The first is a model for selecting a smart parking lot, which suggests a situation in which the probability of selection is higher than that of a general parking lot in the relationship between usage fee and cost. The second is a parking ticket reservation discount selection model, and the smart parking service selection probability was analyzed through the relationship model between the reservation amount and the penalty. It can be used as a design requirement that enables sophisticated and various types of smart parking service considering users' preferences.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.2
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• pp.520-541
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• 2023

In CRNs, SS is of utmost significance. Every CR user generates a sensing report during the training phase beneath various circumstances, and depending on a collective process, either communicates or remains silent. In the training stage, the fusion centre combines the local judgments made by CR users by a majority vote, and then returns a final conclusion to every CR user. Enough data regarding the environment, including the activity of PU and every CR's response to that activity, is acquired and sensing classes are created during the training stage. Every CR user compares their most recent sensing report to the previous sensing classes during the classification stage, and distance vectors are generated. The posterior probability of every sensing class is derived on the basis of quantitative data, and the sensing report is then classified as either signifying the presence or absence of PU. The ISVM technique is utilized to compute the quantitative variables necessary to compute the posterior probability. Here, the iterations of SVM are tuned by novel GO-PSA by combining GOA and PSO. Novel GO-PSA is developed since it overcomes the problem of computational complexity, returns minimum error, and also saves time when compared with various state-of-the-art algorithms. The dependability of every CR user is taken into consideration as these local choices are then integrated at the fusion centre utilizing an innovative decision combination technique. Depending on the collective choice, the CR users will then communicate or remain silent.

• Journal of the Korea Society of Computer and Information
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• v.29 no.4
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• pp.23-30
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• 2024

In this paper, we propose a deep learning-based personalized senior care service application. The proposed application uses Speech to Text technology to convert the user's speech into text and uses it as input to Autogen, an interactive multi-agent large-scale language model developed by Microsoft, for user convenience. Autogen uses data from previous conversations between the senior and ChatBot to understand the other user's intent and respond to the response, and then uses a back-end agent to create a wish list, a shared calendar, and a greeting message with the other user's voice through a deep learning model for voice cloning. Additionally, the application can perform home IoT services with SKT's AI speaker (NUGU). The proposed application is expected to contribute to future AI-based senior care technology.

• KEPCO Journal on Electric Power and Energy
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• v.2 no.3
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• pp.391-395
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• 2016

In the last few decades, global electricity consumption has dramatically increased and has become drastically fluctuating and uncertain causing blackout. Due to the unexpected peak electricity demand, we need significant electricity supply. The solutions to these problems are smart grid system which is envisioned as future power system. Smart grid system can reduce electricity peak demand and induce effective electricity consumption through various price policies, demand response (DR) control methodologies, and state-of-the-art smart equipments in order to optimize electricity resource usage in an intelligent fashion. Demand response (DR) is one of the key technologies to enable smart grid. In this paper, we propose greedy technique for demand response smart grid system. The proposed scheme focuses on minimizing electricity bills, preventing system blackout and sacrificing user convenience.

• Convergence Security Journal
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• v.13 no.6
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• pp.83-89
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• 2013

When applying web hacking techniques and methods it needs to configure the integrated step-by-step and run an information security. Web hackings rely upon only one way to respond to any security holes that can cause a lot. In this study the diagnostic process of cross-site scripting attacks and web hacking response procedures are designed. Response system is a framework for configuring and running a step-by-step information security. Step response model of the structure of the system design phase, measures, operational step, the steps in the method used. It is designed to secure efficiency of design phase of the system development life cycle, and combines the way in secure coding. In the use user's step, the security implementation tasks to organize the details. The methodology to be applied to the practice field if necessary, a comprehensive approach in the field can be used as a model methodology.