• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.103-110
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• 2020

The EDISON is a platform that supports numerical analysis for problem solving in computational science and engineering. We provide a cloud service for users, and provide an environment to access and execution of the simulation service on the web. For now, the EDISON platform provides simulation services for eight applied field on computational science engineering. Users can check the numerical analysis result by web in the computational science and engineering platform. In addition, various services such as community activity with other researchers, and the configuration of simulation environment by user 's needs can be provided. A representative service of the EDISON platform is a web-based simulation service that performs numerical analysis for problem solving of various computational science and engineering. Currently, EDISON platform provides workbench simulation service. It is the web-based simulation execution environment, and result analysis to provide simulation regardless of various personal computing resource or environment in each numerical analysis. In this paper, we build an interface for pre and post processor that can be used in conjunction with the workbench-based simulation service provided by EDISON platform. We provide a development environment with interface that is implemented by applying a pre and post processor optimized for the simulation service. According to simulation and execution are performed by linking the new workbench-based simulation service to the pre and post processor.

• The Journal of Society for e-Business Studies
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• v.15 no.3
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• pp.45-61
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• 2010

This study investigated the types of intention to use micro-blogging service. In this study, we classified micro-blogging users' motivations using Q methodology which enables measure objectivity with subjective activity like individual thinking and feeling. The results of this study showed that micro-blogging service users' motivationswere classified into four types. Type 1 is 'relationship oriented type' and Type 2 is 'self-expression type.' Type 3 is 'time consumption type' and Type 4 is 'information seeking type.' The findings imply that the characteristics of each user type can be utilized to customize micro-blogging services.

• Journal of the Korea Society of Computer and Information
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• v.16 no.2
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• pp.17-23
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• 2011

In this paper, daily life stress monitoring system is proposed. The proposed wireless ECG module, reducing the noise and increasing the size of signal, amplification circuit was designed for. Using HRV(Heart Rate Variability), extracted by measuring R-wave, stress diagnostic algorithms to assess the stress of human emotion were developed. For monitoring the activities, the proposed system is consist of small rectangular size for portable and by simple measurement it is possible to measure at any time. Through experiments, the proposed approach to represent user's stress level can be confirmed. Through that, it can see appropriate structure to obtain R-wave for stress assess as well as high resemblance to the clinical electrocardiogram. In this paper, performed experiments was developed nonrestraint measuring and wearable wireless biometric scanner that is able to monitor the heart's electrical activity of everyday life.Using this, the algorithm system, that is able to assess stress index through time-domain and frequency-domain analysis of the front and the rear of performing stress load protocol, was developed,

• Journal of the HCI Society of Korea
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• v.11 no.2
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• pp.5-14
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• 2016

Wheelchair users found difficulties in living independently in their houses due to the lack of accessibility. The state of the art smart home technology may enable wheelchair users to live independently. In this study, we built a smart home, and tested its usability with three community dwelling wheelchair users. Three evaluation methods such as scenario-based test, K-IADL(Korea instrumental activity of daily living) test, and in-depth interview were used. All three users responded positively for using the smart home. Through this study, we also found several necessary amendments in building smart homes for wheelchair users.

• Journal of The Korea Institute of Healthcare Architecture
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• v.24 no.2
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• pp.79-87
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• 2018

Purpose: The purpose of this paper is to provide logical basis on enlargement of toilet floor space for the disabled by "ACT ON GUARANTEE OF PROMOTION OF CONVENIENCE OF PERSONS WITH DISABILITIES, THE AGED, PREGNANT WOMEN. ETC" Revised Enforcement regulation [Asterisk 1] (2018.2.10.) and to help with making plans, designs and establishing policies by conducting experimental study with the enhanced floor area regulations. Methods: We conduct Experimental study, field work and interview for this paper. In experimental study, verification of the effective floor area was proceeded by measuring activity space for people in manual wheelchair, electric wheel chair and electric scooter and also reviewed useable area with the space expanded 0.2m both width and depth. In filed work, conducted an observation what other things (ex. sanitary equipment, hand rail and so on) can also affect the active space as well as effective floor space. In the interview, other problems and requirements that were not revealed were experimental study and observation of field work. Results : it's expected to provide better access to toilets for the disabled with the law revision of effective floor area. But, with the usage increasement of enlarged wheel chair and electric wheel chair, expanding side areas of toilet is also highly likely to be required going forward. Implications : Additional research is required on locations of exists and internal arrangement that effect the usage of toilet. It should be led to Universal design by making additional investigation and verification of the users patterns.

• Journal of The Korean Association For Science Education
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• v.24 no.6
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• pp.1206-1215
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• 2004

In this study, we explored the students' perceptions on the online discussion system for physics investigation as the physics education program. With these, we explored the characteristics of online discussion system. For these, the questions and interviews were executed in order to get informations about user-friendly characteristics of on-line discussion learning system of physics investigation, asynchronicity of on-line investigation discussion, on-line investigation discussion related to writing, visual cues and physical presence of on-line investigation discussion and preference of on-line investigation discussion. The students represented that there were two advantages in the online investigation discussion. One is that they could participate in the on-line investigation discussion without the restriction of time and space, and the other is that they could enter into a dispute with sufficient consideration because of the asynchronicity characteristic of online investigation discussion. Although the online educational activity is mainly achieved by independent work on the part of students, the role of teacher and parents is more important than the technical part of online educational system for the active participation.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.96-104
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• 2020

As consumers' consumption activities become more active due to the activation of online shopping malls, companies are conducting item trend analyses to boost sales. The existing item trend analysis methods are analyzed by considering only the activities of users in online shopping mall services, making it difficult to identify trends for new items without purchasing history. In this paper, we propose a trend analysis method that combines data in online shopping mall services and social network data to analyze item trends in users and potential customers in shopping malls. The proposed method uses the user's activity logs for in-service data and utilizes hot topics through word set extraction from social network data set to reflect potential users' interests. Finally, the item trend change is detected over time by utilizing the item index and the number of mentions in the social network. We show the superiority of the proposed method through performance evaluations using social network data.

• Journal of Korea Multimedia Society
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• v.11 no.9
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• pp.1213-1226
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• 2008

A recommender system supports people in making recommendations finding a set of people who are likely to provide good recommendations for a given person, or deriving recommendations from implicit behavior such as browsing activity, buying patterns, and time on task. We proposed new recommender system which combined SOM(Self-Organizing Map) neural networks with the Collaborative filtering which most recommender systems hat applied First, we segmented user groups according to demographic characteristics and then we trained the SOM with people's preferences as ito inputs. Finally we applied the classic collaborative filtering to the clustering with similarity in which an recommendation seeker belonged to, and therefore we didn't have to apply the collaborative filtering to the whose data set. Experiments were run for EachMovies data set. The results indicated that the predictive accuracy was increased in terms of MAE(Mean-Absolute-Error).

• Journal of Advanced Navigation Technology
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• v.16 no.1
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• pp.89-95
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• 2012

This paper introduces domestic and international trends and researches related with U-Greenhouse systems. USN (Ubiquitous Sensor Networks), along with the development of networks as well as science and technology, is a new computing paradigm which is the convergence of user-oriented physical activity space and virtual space of electronics and computing and also provides services according to change in surrounding environment at anytime and anywhere. The U-Greenhouse system is to apply USN to agricultural production, logistics and distribution management which are relatively insufficient to utilize IT technology. Thus, applying u-IT technology to agriculture can reinforces international competitiveness of the agricultural sector through the effects such as cost cutting as a rise in output, logistics and distribution management.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.265-269
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• 2008

Home health care with compact wearable units sounds to be a convenient solution for the elderly people living independently. This paper presents a method to detect fall from the other activities of daily living and also to classify those activities. This kind of ambulatory monitoring enables them to get an emergency help in the case of the fatal fall event and can provide their general health status by observing the activities being performed in daily life. A tri-axial accelerometer sensor is used to get the acceleration anomalies associated with the user's movements. The three axis acceleration data are transferred to the base station sensor node via an IEEE 802.15.4 compliant zigbee module. The base station sensor node sends the data to base station PC for an offline processing. This work shows the feature set preparation using the principal component analysis (PCA) for the designing of neural network. The work includes the most common activities of daily living (ADL) like Rest, Walk and Run along with the detection of fall events from ADL. The angle from the vertical is found to be the most significant feature parameter for classification of fall while mean, standard deviation and FFT coefficients were used as the feature parameter for classifying the other activities under consideration. The accuracy for detection of fall events is 86%. The overall accuracy for ADL and fall is 94%.