• The Journal of Society for e-Business Studies
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• v.16 no.3
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• pp.249-261
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• 2011

The rapid growth of e-business market makes new online companies to start and existing offline companies to join in this area. As the number of players of this market grows rapidly, the competition among them is very intense. Many companies invest huge resources to online marketing including search advertisement, email advertisement and banner advertisement. Because these traditional online marketing activities mainly focus on how to invite visitors to their web sites, ROI of these marketing activities are getting lower. Many companies are looking for a new marketing method to escape this situation. In this paper, we propose ROMS (Realtime Online Marketing System) which supports tools to improve conversion ratio of e-commerce sites, ROMS gathers behavioral data of visitors and analyzes it in realtime. ROMS supports live chats, visitor profiling, context analysis, event detection, and live marketing. With ROMS, personalized offers based on visitors' realtime context can be made for each visitor.

• The Journal of the Korea Contents Association
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• v.14 no.3
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• pp.215-222
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• 2014

Recent years, mirror therapy or mirror neuron therapy has been used to improve neural damage of upper extremities among stroke patients. This systematic review was conducted to assess the clinical effect of mirror therapy used for the treatment of upper extremities for patients with stroke. After literature search, researchers selected for 9 randomized controlled clinical trial studies registered up to October 2013 based on PubMed database, using the following search terms: mirror therapy, mirror neuron, stroke, paresis, hemiplegia, upper extremity. There were significant improves of distal upper extremity function in the use of mirror therapy groups but the research using range of motion(ROM) as outcome measure. In conclusion, mirror therapy was more effective than conventional therapies or sham therapies for upper recovery of distal upper extremity function among stroke patients.

• Archives of Reconstructive Microsurgery
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• v.19 no.1
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• pp.21-28
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• 2010

Purpose: To report the clinical results of the use of arterialized venous free flaps in reconstruction in soft tissue defects of the finger and to extend indications for the use of such flaps based on the clinical experiences of the authors. Materials and Methods: Eighteen patients who underwent arterialized venous free flaps for finger reconstruction, between May 2007 and July 2009 were reviewed retrospectively. The mean flap size was 4.7${\times}3.2$ cm. The donor site was the ipsilateral volar aspect of the distal forearm in all cases. There were 8 cases of venous skin flaps, 5 cases of neurocutaneous flaps, 4 cases of tendocutaneous flaps, 1 case of innervated tendocutaneous flap. The vascuality of recipient beds was good except in 4 cases (partial devascuality in 2, more than 50% avascuality (bone cement) in 2). Results: All flaps were survived. The mean number of included veins was 2.27 per flap. Mean static two-point discrimination was 10.5 mm in neurocutaneous flaps. In 3 of 5 cases where tendocutaneous flaps were used, active ROM at the PIP joint was 60 degrees, 30 degrees at the DIP joint and 40 degrees at the IP joint of thumb. There were no specific complications except partial necrosis in 3 cases. Conclusions: An arterialized venous free flap is a useful procedure for single-stage reconstruction in soft tissue or combined defect of the finger; we consider that this technique could be applied to fingers despite avascular recipient beds if the periphery of recipient bed vascularity is good.

• Journal of The Korean Society of Integrative Medicine
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• v.4 no.1
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• pp.1-11
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• 2016

Purpose : The purpose of this study was to exam effects of aroma therapy on the woman with headache in range of motion, results based on Pain and the tiredness index. we applied this study in female patients with headache. tiredness, stress, pain to examine effects of easing off headache, Tiredness. Methods : The study has been conducted with three different groups of "H" University in Gwangyang, the forty-five 20's female university student with headache were randomly assigned to groups each groups did a survey to evaluate their tiredness, VAS, VRS before this study and after there are three groups: 15 people gets a swedish massage by using almond oil(I Group, n= 15), 15 people got a swedish massage by using lavender oil(II Group, n=15) and 15 people got a swedish massage by using lavender oil, smalled at the scent of lavender candle(III Group, n=15). I, II, III Group common characteristics(gender, age, height, weight) were measured by using goniometer to measured flexion extension, left right flexion, left right rotation of cervical range of motion. the measured data were analyzed by using repeated ANOVA. Especially in order to investigate the effect of Aroma therapy by using lavender candle this study is progressed 20 minutes, 3 times per week for a term of 3weeks(total 9). Results : The results of this study were as follows : 1) the VAS and VRS showed significant different result. 2) in the range of motion, cervical extension between Group I and II and left right flexion between Group I and III showed quite motional difference. 3) in the tiredness, there were no significant factors after examination. Conclusion : Therefore, the results of this study demonstration that the effect of Aroma therapy by using lavender candle didn't show prominent effects.

• Journal of Korean Home Economics Education Association
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• v.15 no.3
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• pp.59-73
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• 2003

This study aims to review and analyze the contents related to environment among curriculum of Technology$.$Home Economics subject; to produce multimedia learning materials and web-based materials for effective environmental education: and to find the way to effectively utilize them in schools. The data were analyzed by t-test with SPSS Win 10.0 program. The results of this study are as follows; First, the textbook carries a lot of contents concerning the environment. Second, the multimedia materials help students to understand environmental issues and strengthen their attitudes of environmental problems very effectively. Third, after using the instructional multimedia materials, the students showed significantly different results.

• Journal of the Korean Institute of Telematics and Electronics
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• v.21 no.5
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• pp.79-89
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• 1984

In this paper we present development of microprocessor-based 8-channel statistical multiplexer (SMUX). The hardware design includes one Z-80A CPU board with the clock rate of 4 MHz, one 16 Kbyte ROM board for program storage, one 16 Kbyte dynamic RAM board and three I/O boards, all connected through an S-100 compatible tristate bus. The SMUX can presently multiplex 8 channels with data rates ranging 50 bps to 9600 bps, but can be reduced to accommodate 4 channels by having a slight modification of software and removing one terminal I/O board. The system specifications meet CCITT recommendations X.25 link level, V.24, V.28, X.3 and X.28. Significant features of the SMUX are its capability of handling 4 input codes (ASCII, EBCDIC, Baudot, Transcode), the use of a dynamic buffer management algorithm, a diagnostic facility, and the efficient use of a single CPU for all system operation. Throughout the paper, detailed explanations are given as to how the hardware and software of the SMUX system have been designed efficiently.

• Annals of Clinical Neurophysiology
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• v.2 no.1
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• pp.8-12
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• 2000

Purpose : The rapid development and wide popularity of Digital EEG(DEEG) is due to its convenience, accuracy and applicability for quantitative analysis. These advantages of DEEG make one hesitate to use analog EEG(AEEG). To assess the advantage of DEEG system utilizing AEEG(DAEEG) over conventional AEEG and the clinical applicability, a DAEEG system was developed and applied to animal model Methods : Sprague-Dawley rat as status epilepticus model were used for collecting the EEG data. After four epidural electrodes were inserted and connected to 8-channel analog EEG(Nihon-Kohden, Japan), continous. EEG monitoring via computer screen was done from two rats simultaneously. EEG signals through analog amplifier and filters were digitized at digital signal processor and stored in Windows-based pentium personal computer. Digital data were sampled at a rate of 200 Hz and 12 bit of resolution. Acquisition software was able to carry out 'real-time view, sensitivity control and event marking' during continuous EEG monitoring. Digital data were stored on hard disk and hacked-up on CD-ROM for off-line review. Review system consisted of off-line review, saving and printing out interesting segment and annotation function. Results: This DAEEG system could utilize most major functions of DEEG sufficiently while making a use of an AEEG. It was easy to monitor continuously compared to Conventional AEEG and to control sensitivity during ictal period. Marking the event such as a clinical seizure or drug injection was less favorable than AEEG due to slowed processing speed of digital processor and central processing unit. Reviewing EEG data was convenient, but paging speed was slow. Storage and management of data was handy and economical. Conclusion : Relatively simple digital EEG system utilizing AEEG can be set-up at n laboratory level. It may be possible to make an application for clinical purposes.

• Proceedings of the KOSOMBE Conference
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• v.1996 no.11
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• pp.273-276
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• 1996

In the Total Artificial Heart (TAH) and Ventricular Assist Device (VAD), the size implanting the internal controller into human body is very serious problem. Hence, we need the size reduction of that controller for safe implantation. Using PSD302 chip for microcontroller-based applications, we could decrease the number of components in the digital control board and miniaturize the digital control board. We could replace a ROM, RAM, and a latch with that single chip, so the size of the newly developed board could be half the previous board.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.313-315
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• 2010

In this paper, we describe research results of developing hardware rasterizer that is applicable to mobile 3D graphics system, designed in SIMD architecture and verified in FPGA. Tile-based scan conversion unit is designed like SIMD architecture running four tiles simultaneously and each tile traverses pixels hierarchical in 3-level so that visiting counts is minimized. As experimental results, $8{\times}8$ is the most efficient size of tile and the last step of tile traversing is performed on $2{\times}2$ sized subtile. The rasterizer supports flat shading and gouraud shading and texture mapper supports affine mapping and perspective corrected mapping. Also, texture mapper supports point sampling mode and bilinear interpolating sampling mode and two types of wrapping modes and various blending modes. The rasterzer operates as 120Mhz on xilinx vertex4 $l{\times}100$ device. To easy verification, texture memory and frame buffer are generated as block rom and block ram.

• The Journal of Society for e-Business Studies
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• v.26 no.3
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• pp.67-80
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• 2021

The node embedding technique for learning graph representation plays an important role in obtaining good quality results in graph mining. Until now, representative node embedding techniques have been studied for homogeneous graphs, and thus it is difficult to learn knowledge graphs with unique meanings for each edge. To resolve this problem, the conventional Triple2Vec technique builds an embedding model by learning a triple graph having a node pair and an edge of the knowledge graph as one node. However, the Triple2 Vec embedding model has limitations in improving performance because it calculates the relationship between triple nodes as a simple measure. Therefore, this paper proposes a feature extraction technique based on a graph convolutional neural network to improve the Triple2Vec embedding model. The proposed method extracts the neighborliness vector of the triple graph and learns the relationship between neighboring nodes for each node in the triple graph. We proves that the embedding model applying the proposed method is superior to the existing Triple2Vec model through category classification experiments using DBLP, DBpedia, and IMDB datasets.