• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.813-818
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• 2020

Recently, with the rapid increase in technology and users of smart devices, the smart watch market has grown, and its utility and usability are continuously expanding. The strengths of smartwatches are wearable portability, application immediacy, data diversity and real-time capability. Despite these strengths, smartwatches have limitations such as battery limitations, display and user interface size limitations, and memory limitations. In addition, there is a need to supplement developers and standard devices, operating system standard models, and killer application modules. In particular, monitoring and application of user's biometric information is becoming a major service for smart watches. The biometric information of such a smart watch generates a large amount of data in real time. In order to advance the biometric information service, stable peer-to-peer transmission of sensing data to a remote smartphone or local server storage must be performed. We propose a synchronization method to ensure wireless remote peer-to-peer transmission stability in a smart watch system. We design a wireless peer-to-peer transmission process based on this synchronization method, analyze asynchronous transmission process and proposed synchronous transmission process, and propose a transmission efficiency method according to an increase in transmission amount.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.10
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• pp.1277-1286
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• 2018

In this paper, we provide flexible scalability of computing resources in cloud environment and Apache Hadoop based cloud environment for analysis of public medical information big data. In fact, it includes the ability to quickly and flexibly extend storage, memory, and other resources in a situation where log data accumulates or grows over time. In addition, when real-time analysis of accumulated unstructured log data is required, the system adopts Hadoop-based analysis module to overcome the processing limit of existing analysis tools. Therefore, it provides a function to perform parallel distributed processing of a large amount of log data quickly and reliably. Perform frequency analysis and chi-square test for big data analysis. In addition, multivariate logistic regression analysis of significance level 0.05 and multivariate logistic regression analysis of meaningful variables (p<0.05) were performed. Multivariate logistic regression analysis was performed for each model 3.

• Journal of Korea Multimedia Society
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• v.5 no.4
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• pp.458-467
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• 2002

There has been proposed many simplification algorithms for effectively decreasing large-volumed polygonal surface data. These algorithms apply their own cost function for collapse to one of fundamental simplification unit, such as vertex, edge and triangle, and minimize the simplification error occurred in each simplification steps. Most of cost functions adopted in existing works use the error estimation method based on distance optimization. Unfortunately, it is hard to define the local characteristics of surface data using distance factor alone, which is basically scalar component. Therefore, the algorithms cannot preserve the characteristic features in surface areas with high curvature and, consequently, loss the detailed shape of original mesh in high simplification ratio. In this paper, we consider the vector component, such as surface orientation, as one of factors for cost function. The surface orientation is independent upon scalar component, distance value. This means that we can reconsider whether or not to preserve them as the amount of vector component, although they are elements with low scalar values. In addition, we develop a simplification algorithm based on half-edge collapse manner, which use the proposed cost function as the criterion for removing elements. In half-edge collapse, using one of endpoints in the edge represents a new vertex after collapse operation. The approach is memory efficient and effectively applicable to the rendering system requiring real-time transmission of large-volumed surface data.

• Journal of KIISE:Computer Systems and Theory
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• v.31 no.5_6
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• pp.371-378
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• 2004

This paper presents the implementation and performance of the HVIA-GE card, which is a hardware implementation of the Virtual Interface Architecture (VIA) based on Gigabit Ethernet. The HVIA-GE card is a 32-bit/33MHz PCI adapter containing an FPGA for the VIA protocol engine and a Gigabit Ethernet chip set to construct a high performance physical network. HVIA-GE performs virtual-to-physical address translation, Doorbell, and send/receive completion operations in hardware without kernel intervention. In particular, the Address Translation Table (ATT) is stored on the local memory of the HVIA-GE card, and the VIA protocol engine efficiently controls the address translation process by directly accessing the ATT. As a result, the communication overhead during send/receive transactions is greatly reduced. Our experimental results show the maximum bandwidth of 93.7MB/s and the minimum latency of 11.9${\mu}\textrm{s}$. In terms of minimum latency HVIA-GE performs 4.8 times and 9.9 times faster than M-VIA and TCP/IP, respectively, over Gigabit Ethernet. In addition, the maximum bandwidth of HVIA-GE is 50.4% and 65% higher than M-VIA and TCP/IP respectively.

• (The) Research of the performance art and culture
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• no.36
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• pp.365-414
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• 2018

This paper studied the type and character of the Divinity in Korean shamanism. The study of the Divinity means the hierarchy of shamanism, the relationship between shamanism and divinity, and the comparison between shamanism and divinity. The study of the shamanistic divinity based on Kim Tae - Gon's collection of anthology by Shaman(1971). The Jaesugut was composed of the contents of the gods blessing human beings. The JaesuGut of Seoul vary from 10 to 18 depending on the author. The JaesuGut of Goseong consists of 8 Gut. The essence of the ritual gut is to pray for the peace of the individual by using the world which is not explained by reason and science. It is a reincarnation that reflects the world of experience that is stored in the memory of human being that both reason and science can not explain. And the desire to escape from fear was reflected in Jaesu Gut. Every Jaesu Gut in Seoul and Goseong has a main divinity. This main divinity is attached to the divinity in another Gut and becomes a subordination divinity. It also becomes a subordinate-subordination divinity to the another Gut. The gods of reincarnation are basically taken in the order of national security ${\rightarrow}$ local security ${\rightarrow}$ home security.

• The Journal of Korean society of community based occupational therapy
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• v.8 no.2
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• pp.15-28
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• 2018

Objective : This study sought to characterize and determine the qualitative level of a single target study for stroke patients. Methods : The National Science and Technology Information Center (NDSL), DBpia (DBpia), RISS (Radical Research Information Service), Korea Research Information (KISS), and the National Assembly Library's original case study from 2002 to 2017. A total of 24 single target research papers were selected through the screening process to analyze the quality level of research methods and research design. Results : ABA design was th most common study design method. One person was the most with 12(50%). and three were the second with 8(33.3%). Imagination was the most used as an independent lawyer. Dependent variables had the highest level of situability and one-sidedness. The study was also conducted with a variety of target behaviors, including 'memory', 'visual attention', 'dysphagia', 'visual-motor coordination', 'balance', 'activity of daily life' and 'edema' behaviors. It also showed a positive effect on all dependent variables. The Qualitative level was found to be above the intermediate level except for one study. Conclusion : It is academic significance that this study analyzes the items to be prepared for in the performance of a single target study and further studies may require the establishment of a weak but good-quality single target study for researchers conducting research in local communities and clinical sites.

• The Korean Journal of Archival Studies
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• no.44
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• pp.155-197
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• 2015

Disaster of Sewol took place in one year. Meanwhile, the victim's family and the call time record academics have tried to record it. Ansan activists have moved to objectives such as civil records committee also pivotal. The citizens committee under the dictation recording oral history team has a diverse group of people associated with the time issue. bereaved families were collected from the oral as well as volunteers, religious personnel, activists, Ansan citizens and various people. Disasters around the world is also an important event to remember and honor the people together, and one of the most effective means to record There it is establishing an oral history archive. Does not leave a lot of nature history of sudden disasters that occur, as well as a tribute record dictation telling people of diverse perspectives on events helps a lot closer to the reality of the event. Erected in the National September 11 Memorial Museum to honor the Sept. 11 attacks and provide a variety of programs to chaerok dictation of the people involved with 9/11. To remember the 2013 Boston Marathon bombing 'Our Marathon' of crowdsourcing digital archive was built. In the archives of the local universities and institutions were created to collaborate actively and gathering oral history. Pan Am Flight 103 pieces terror has established an archive from Syracuse University. Here, neither graduates, faculty, and to the victim's family and friends gather and oral hitory. Disaster-related Sewol neither should be able to be used as in the case of foreign well, and it should continue to honor the victims of the collection. It also ought to occasion again to avoid this disaster on earth.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.171-173
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• 2022

The 4th industrial revolution technology is developing people's lives more efficiently. GIS provided on the Internet services such as traffic information and time information makes people getting more quickly to destination. National geographic information service(NGIS) and each local government are making basic data to investigate SOC accessibility for analyzing optimal point. To construct the shortest distance, the accessibility from the starting point to the arrival point is analyzed. Applying road network map, the starting point and the ending point, the shortest distance, the optimal accessibility is calculated by using Dijkstra algorithm. The analysis information from multiple starting points to multiple destinations was required more than 3 steps of manual analysis to decide the position for the optimal point, within about 0.1% error. It took more time to process the many-to-many (M×N) calculation, requiring at least 32G memory specification of the computer. If an optimal proximity analysis service is provided at a desired location more versatile, it is possible to efficiently analyze locations that are vulnerable to business start-up and living facilities access, and facility selection for the public.

• Journal of the Korean Institute of Landscape Architecture
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• v.44 no.6
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• pp.98-106
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• 2016

This paper has attempted to reexamine current international circumstance and the meaning of regionality and discover the practical design strategy in the process of observing the trend of contemporary landscape architecture from the perspective of regionality. Contemporary landscape architecture has started to discover possibility in the local value and create identity. This tendency can be classified as follows: First, regionality is re-examined as a medium which can integrate nature, culture and city. As a concept which contains time and spatial continuity, landscape is a matter of the identity of land and area. Second, regionality has been reinterpreted and recreated by designers. Landscape designers attempt to restore the past memories and traces instead of adding a new concept after erasing previous physical features. This design attitude has spatialized time continuity. Third, site is seen as a palimpsest, not tabula rasa in contemporary landscape architecture. It has been attempted to visually materialize the natural and ecological processes and spatial features. Fourth, site is approached in a tectonic approach instead of analytical approach. It is attempted to organize and restore the geological and archeological memories and ecological processes. Differentiation has emerged as a critical design strategy in contemporary landscape architecture. However, regionality is also formed through an interaction with continuity as well as through differentiation. In this sense, the following possibilities can be reviewed as practical design strategies to realize regionality: First, a terra-tectonic approach discovers and selects possibility in the site and expresses the site, creating practical possibility which strengthens regionality. If the memory and conditions of the site are different, the identity would different as well. Second, continuity of region itself is a gene pool with comparative advantage. As a rough sketch of design, it acts as a loose conformity on designers' experience and practice. Of course, this approach is not absolute with some limitations. It is necessary to explore practical strategies.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.163-177
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• 2019

As smartphones are getting widely used, human activity recognition (HAR) tasks for recognizing personal activities of smartphone users with multimodal data have been actively studied recently. The research area is expanding from the recognition of the simple body movement of an individual user to the recognition of low-level behavior and high-level behavior. However, HAR tasks for recognizing interaction behavior with other people, such as whether the user is accompanying or communicating with someone else, have gotten less attention so far. And previous research for recognizing interaction behavior has usually depended on audio, Bluetooth, and Wi-Fi sensors, which are vulnerable to privacy issues and require much time to collect enough data. Whereas physical sensors including accelerometer, magnetic field and gyroscope sensors are less vulnerable to privacy issues and can collect a large amount of data within a short time. In this paper, a method for detecting accompanying status based on deep learning model by only using multimodal physical sensor data, such as an accelerometer, magnetic field and gyroscope, was proposed. The accompanying status was defined as a redefinition of a part of the user interaction behavior, including whether the user is accompanying with an acquaintance at a close distance and the user is actively communicating with the acquaintance. A framework based on convolutional neural networks (CNN) and long short-term memory (LSTM) recurrent networks for classifying accompanying and conversation was proposed. First, a data preprocessing method which consists of time synchronization of multimodal data from different physical sensors, data normalization and sequence data generation was introduced. We applied the nearest interpolation to synchronize the time of collected data from different sensors. Normalization was performed for each x, y, z axis value of the sensor data, and the sequence data was generated according to the sliding window method. Then, the sequence data became the input for CNN, where feature maps representing local dependencies of the original sequence are extracted. The CNN consisted of 3 convolutional layers and did not have a pooling layer to maintain the temporal information of the sequence data. Next, LSTM recurrent networks received the feature maps, learned long-term dependencies from them and extracted features. The LSTM recurrent networks consisted of two layers, each with 128 cells. Finally, the extracted features were used for classification by softmax classifier. The loss function of the model was cross entropy function and the weights of the model were randomly initialized on a normal distribution with an average of 0 and a standard deviation of 0.1. The model was trained using adaptive moment estimation (ADAM) optimization algorithm and the mini batch size was set to 128. We applied dropout to input values of the LSTM recurrent networks to prevent overfitting. The initial learning rate was set to 0.001, and it decreased exponentially by 0.99 at the end of each epoch training. An Android smartphone application was developed and released to collect data. We collected smartphone data for a total of 18 subjects. Using the data, the model classified accompanying and conversation by 98.74% and 98.83% accuracy each. Both the F1 score and accuracy of the model were higher than the F1 score and accuracy of the majority vote classifier, support vector machine, and deep recurrent neural network. In the future research, we will focus on more rigorous multimodal sensor data synchronization methods that minimize the time stamp differences. In addition, we will further study transfer learning method that enables transfer of trained models tailored to the training data to the evaluation data that follows a different distribution. It is expected that a model capable of exhibiting robust recognition performance against changes in data that is not considered in the model learning stage will be obtained.