• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.11B
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• pp.1254-1260
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• 2009

This paper proposes history-aware random early detection (HRED), a modified version of RED, to lessen bandwidth monopoly by a few of stations employing multiple parallel TCP flows. Stations running peer-to-peer file sharing applications such as BitTorrent use multiple TCP flows. If those stations share a link with other stations with only a small number of TCP flows, the stations occupy most of link bandwidth leading to undesirable bandwidth monopoly. HRED like RED determines whether to drop incoming packets according to probability which changes based on queue length. However it adjusts the drop probability based on bandwidth occupying ratio of stations, thus able to impose harder drop penalty on monopoly stations. The results of simulations assuming various scenarios show that HRED is at least 60% more effective than RED in supporting the bandwidth fairness among stations and at least 4% in utilization.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.227-231
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• 2009

The aim of the research is to focus on the cognitive principles and to achieve human-level intelligence in referring context based browser history and the Windows history. One of the major problems faced by today's computer users is insufficient and single exclusive context based reference of the browser history and the Windows history. Today we search for the browser history and Windows history in different places even though the context is the same. For e.g., When working on a research paper or preparing a business presentation, a user may require to refer many web sites on the internet and various documents on the local computer. The browser can provide only time based history. The windows document history is also time based and limited to list only few documents. Hence, we propose a tool "Cognitive Based Context Aware Reference History Management Tool" which helps to access the exclusive reference of context and time based history in one place. The tool also proposes to store image history with urls and classifies images of a specific topic accessed in different time, bookmarks management and cross browser history management. These features are very useful as we can access all related documents (doc, docx, ppt, pptx, pdf, txt, and html), web pages, images and bookmarks in one place. The tool uses the cognitive principles like classification and association to achieve the purpose.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.4
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• pp.31-51
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• 2008

Predicting the preferences of users and providing the personalized services/products based on users' preferences is one of the important issues. However, the research considering users' preferences on context-aware computing is a relatively insufficient research field. Hence, this paper aims to propose a framework for providing the personalized services based on context history in context-aware computing. Based on this framework, we have implemented a prototype system to show the feasibility of the framework. Previous researches have reasoned the preferences of the user considering only the user's input, but this research provides the personalized services using the relationship between users' profile and services.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.2
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• pp.538-561
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• 2020

Recommender Systems (RecSys) have a major role in e-commerce for recommending products, which they may like for every user and thus improve their business aspects. Although many types of RecSyss are there in the research field, the state of the art RecSys has focused on finding the user similarity based on sequence (e.g. purchase history, movie-watching history) analyzing and prediction techniques like Recurrent Neural Network in Deep learning. That is RecSys has considered as a sequence prediction problem. However, evaluation of similarities among the customers is challenging while considering temporal aspects, context and multi-component ratings of the item-records in the customer sequences. For addressing this issue, we are proposing a Deep Learning based model which learns customer similarity directly from the sequence to sequence similarity as well as item to item similarity by considering all features of the item, contexts, and rating components using Dynamic Temporal Warping(DTW) distance measure for dynamic temporal matching and 2D-GRU (Two Dimensional-Gated Recurrent Unit) architecture. This will overcome the limitation of non-linearity in the time dimension while measuring the similarity, and the find patterns more accurately and speedily from temporal and spatial contexts. Experiment on the real world movie data set LDOS-CoMoDa demonstrates the efficacy and promising utility of the proposed personalized RecSys architecture.

• Journal of the Korea Society of Computer and Information
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• v.14 no.4
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• pp.47-57
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• 2009

Event detection and recognition is an active and challenging topic recent in Computer Vision. This paper describes a new method for recognizing events caused by human motion from video sequences in an office environment. The proposed approach analyzes human motions using Motion History Image (MHI) sequences, and is invariant to body shapes. types or colors of clothes and positions of target objects. The proposed method has two advantages; one is thant the proposed method is less sensitive to illumination changes comparing with the method using color information of objects of interest, and the other is scale invariance comparing with the method using a prior knowledge like appearances or shapes of objects of interest. Combined with edge detection, geometrical characteristics of the human shape in the MHI sequences are considered as the features. An advantage of the proposed method is that the event detection framework is easy to extend by inserting the descriptions of events. In addition, the proposed method is the core technology for event detection systems based on context-aware computing as well as surveillance systems based on computer vision techniques.

• Journal of Physiology & Pathology in Korean Medicine
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• v.21 no.2
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• pp.370-378
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• 2007

${\ulcorner}$Zhujieshanghanlun(註解傷寒論)${\lrcorner}$ are som particular points as below ; first, set up the concepts of chuanjing(傅經), zaichuanjing(再傅經), and guojing(過經). Second, suggested the half exterior and half interior syndrome(半表半裏證) firstly. The third, understood origin literature by the distinguished way for syndrome in accordance with the Yin and Yang(陰陽). Forth, wangyang(亡陽) is described by two different syndromes. One is with perspiration. The other is yangxuzheng(양허증(陽虛證)) from injured yangqi(陽氣). Fifth, xialibiannongxue(下利便膿血) was distinguished by the generic characters of The Cold and Hot(熱${\cdot}$寒). The last, ${\ulcorner}$Shanghanlun${\lrcorner}$ (傷寒論) was described at the view of viscera & bowels's physiology and their pathology. And shaoyin(少陰) disease was aware of kidney case and Taiyin(太陰) disease was aware of spleen case. There are two different cases of bowel diseases. One is that xieqi(邪氣) goes in stomach of Yangming(陽明). The other is that xieqi(邪氣) follows channel and goes into bowel.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.199-208
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• 2022

The world health organization classified the emerging coronavirus (known as Covid-19) as a pandemic after confirming the extent of spread and scale. As a matter of fact, outbreaks of similar scale or even worse have been witnessed throughout history. Thus, the development of prevention strategies exists to protect against such calamaties. One of the widely proven measures that controls the spread of any contagious diseases is social distancing. As a result, this paper will demonstrate the concept of an application "Be Aware" on enabling the implementation of this preventive measure. In particular "Be aware" evaluates the extent of congestion in public places using current time data. The proposed project will use Global Positioning System (GPS), and Application Programming Interface (API), to ensure information accuracy, and the API use Crowdsourcing to collect Real-Time Data (RTD) from the selected places. One line

• The Journal of Internal Korean Medicine
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• v.28 no.2
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• pp.284-293
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• 2007

Objectives : Hypertension(HTN), diabetes mellitus(DM) and hyperlipidemia(HL) are the most common risk factors of cerebro-vascular attack(CVA). To prevent CVA, early diagnosis (awareness before CVA) of HTN, DM and HL is essential, and for the effective early diagnosis we need to analyze the data of CVA patients concerned with HTN, DM and HL. In this study, we studied characteristics of patients early diagnosed before CVA. Methods : We analyzed the data of 363 patients with acute ischemic stroke from Hanbang Stroke Registry supported by the Ministry of Science and Technology of Korea. Subjects' enrollment was done in the oriental medical hospitals of 3 universities located in the metropolitan region from October 2005 to October 2006. We analyzed all registered data about HTN. DM and HL, for example, how many patients were aware of their HTN, DM or HL before CVA, differences in characteristics of early diagnosed patients, effects of early diagnosis on CAV, etc. Results : Patients aware of their HTN. DM and HL before CVA have more past history and family history about HTN, DM or HL. Early diagnosis rate of HL is lower than HTN and DM, and early diagnosed HL patients were younger and deucated longer than patients who weren't aware of their HL before CVA. These results mean that publicity is the key to promoting early diagnosis rates of HTN, DM and HL. In DM and HL, early diagnosed patients had more SVO type cerebral infarction than patients who weren't aware of risk factors. We can thus see that early diagnosis even affects CVA types. Conclusion : This work helps us to understand the realities and importance of early diagnosis of HTN, DM and HL before CVA. There should be further research, which can contribute to much more improved early diagnosis rates of HTN, DM and HL.

• (The)Study of the Eastern Classic
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• no.67
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• pp.259-295
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• 2017

The purpose of this article is to understand Ahn Hwak(1886~1946)'s perception of national history through "History of Joseon Literature" and "History of Joseon Civilization". He presented the 'cultural history' of Joseon from a modern point of view, by exploring the mental and emotional aspects of the Korean people ingrained in the literary works from the various historical periods. He also reconstructed the national history from Gojoseon era to Joseon dynasty as a continuous 'political history'. For him, a nation was not merely a cultural community, but also a political community. His thought was that while 'culture' and 'politics' are dualistic, they should also be viewed as the two sides of the same coin. In "History of Joseon Literature", Ahn emphasized the mental 'Awakening(自覺)' of the nation. 'Awakening' is a process of universal progress in which the mind pursues freedom by freeing itself from the material bondage. In "History of Joseon Civilization", he finds history of 'Autonomy(自治)' as the characteristics of Joseon's 'history of politics'. He believes that Joseon was able evolve into 'self-aware and voluntary civilization' because of the tradition of 'Autonomy', a political system of reflecting and gathering of the will of the people. Through his two books, Ahn Hwak underlines the idea that the national history of Joseon was a history of 'Awakening', from a cultural perspective, and a history of 'Autonomy', from a political point of view. To him, 'Awakening' was a concept focused on the universality of the mind, while 'Autonomy' was a concept that emphasized the uniqueness of a nation. In sum, Ahn Hwak, through his works, tried to combine cultural universality and political identity.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.7
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• pp.1643-1651
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• 2014

Social networking services (in short, SNS) allow users to share their own data with family, friends, and communities. Since there are many kinds of information that has been uploaded and shared through the SNS, the amount of information on the SNS keeps increasing exponentially. Particularly, Facebook has adopted some interesting features related to entertainment (e.g., movie, music and TV show). However, they do not consider contextual information of users for recommendation (e.g., time, location, and social contexts). Therefore, in this paper, we propose a novel approach for movie recommendation based on the integration of a variety contextual information (i.e., when the users watched the movies, where the users watched the movies, and who watched the movie with them). Thus, we developed a Facebook application (called MyMovieHistory) for recording the movie history of users and recommending relevant movies.