• Title/Summary/Keyword: time-scaling

Search Result 682, Processing Time 0.027 seconds

Twitter Issue Tracking System by Topic Modeling Techniques (토픽 모델링을 이용한 트위터 이슈 트래킹 시스템)

  • Bae, Jung-Hwan;Han, Nam-Gi;Song, Min
    • Journal of Intelligence and Information Systems
    • /
    • v.20 no.2
    • /
    • pp.109-122
    • /
    • 2014
  • People are nowadays creating a tremendous amount of data on Social Network Service (SNS). In particular, the incorporation of SNS into mobile devices has resulted in massive amounts of data generation, thereby greatly influencing society. This is an unmatched phenomenon in history, and now we live in the Age of Big Data. SNS Data is defined as a condition of Big Data where the amount of data (volume), data input and output speeds (velocity), and the variety of data types (variety) are satisfied. If someone intends to discover the trend of an issue in SNS Big Data, this information can be used as a new important source for the creation of new values because this information covers the whole of society. In this study, a Twitter Issue Tracking System (TITS) is designed and established to meet the needs of analyzing SNS Big Data. TITS extracts issues from Twitter texts and visualizes them on the web. The proposed system provides the following four functions: (1) Provide the topic keyword set that corresponds to daily ranking; (2) Visualize the daily time series graph of a topic for the duration of a month; (3) Provide the importance of a topic through a treemap based on the score system and frequency; (4) Visualize the daily time-series graph of keywords by searching the keyword; The present study analyzes the Big Data generated by SNS in real time. SNS Big Data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. In addition, such analysis requires the latest big data technology to process rapidly a large amount of real-time data, such as the Hadoop distributed system or NoSQL, which is an alternative to relational database. We built TITS based on Hadoop to optimize the processing of big data because Hadoop is designed to scale up from single node computing to thousands of machines. Furthermore, we use MongoDB, which is classified as a NoSQL database. In addition, MongoDB is an open source platform, document-oriented database that provides high performance, high availability, and automatic scaling. Unlike existing relational database, there are no schema or tables with MongoDB, and its most important goal is that of data accessibility and data processing performance. In the Age of Big Data, the visualization of Big Data is more attractive to the Big Data community because it helps analysts to examine such data easily and clearly. Therefore, TITS uses the d3.js library as a visualization tool. This library is designed for the purpose of creating Data Driven Documents that bind document object model (DOM) and any data; the interaction between data is easy and useful for managing real-time data stream with smooth animation. In addition, TITS uses a bootstrap made of pre-configured plug-in style sheets and JavaScript libraries to build a web system. The TITS Graphical User Interface (GUI) is designed using these libraries, and it is capable of detecting issues on Twitter in an easy and intuitive manner. The proposed work demonstrates the superiority of our issue detection techniques by matching detected issues with corresponding online news articles. The contributions of the present study are threefold. First, we suggest an alternative approach to real-time big data analysis, which has become an extremely important issue. Second, we apply a topic modeling technique that is used in various research areas, including Library and Information Science (LIS). Based on this, we can confirm the utility of storytelling and time series analysis. Third, we develop a web-based system, and make the system available for the real-time discovery of topics. The present study conducted experiments with nearly 150 million tweets in Korea during March 2013.

Design and Implementation for Portable Low-Power Embedded System (저전력 휴대용 임베디드 시스템 설계 및 구현)

  • Lee, Jung-Hwan;Kim, Myung-Jung
    • Journal of KIISE:Computing Practices and Letters
    • /
    • v.13 no.7
    • /
    • pp.454-461
    • /
    • 2007
  • Portable embedded systems have recently become smaller in size and offer a variety of junctions for users. These systems require high performance processors to handle the many functions and also a small battery to fit inside the system. However, due to its size, the battery life has become a major issue. It is important to have both efficient power design and management for each function, while optimizing processor voltage and clock frequency in order to extend the battery life of the system. In this paper, we calculated the efficiency of power in optimizing power rail. This system has two microprocessors. One is used to play music and movie files while the other is for DMB. In order to reduce power consumption, the DMB microprocessor is turned of while music or videos are played. Lastly, DVFS is applied to the processor in the system to reduce power consumption. Experimental results of the implemented system have resulted in reduced power consumption.

Effect of DOGO phreatic water containing sulphur on Atopic Dermatitis in NC/Nga mouse (아토피 피부염 유발 NC/Nga mouse에서 도고 온천수 유황 성분의 효과)

  • Jang, Moon-Hee;Go, Ga-Yeon;Ahn, Yo-Chan;Ahn, Taek-Won
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
    • /
    • v.26 no.3
    • /
    • pp.36-53
    • /
    • 2013
  • Objectives : The purpose of this study is to investigate the effects of DOGO phreatic water containing sulphur on Atopic Dermatitis in NC/Nga mouse. Methods : We made DOGO phreatic water removed sulphur using Twin Alternating Sulfate Eater. After making atopic dermatitis caused by sensitizing NC/Nga mouse to DNCB(dinitrochlorobenzene), we made mouse swim in tanks each filled with distilled water, tap water, DOGO phreatic water(contain sulphur), DOGO phreatic water(remove sulphur) for 30minutes everyday. 3weeks later, we analyzed skin clinical score, total IgE levels(by ELISA), WBC differential counting(Neutrophils, Monocytes), absolute cell number of $Neutrophil^+Gr-1^+$, CCR3 mRNA expressions(by Real-time PCR), IL-4, IFN-${\gamma}$ production levels(by ELISA), histologic test(by H&E staining, toluidine blue staining). Results : The results of making NC/Nga mouse induced atopic dermatitis swim in tanks filled with DOGO phreatic water(contain sulphur) are as follows. 1. Skin clinical scores were decreased significantly in comparison to control group. 2. Total IgG levels were decreased significantly in comparison to control group. 3. WBC differential counting(Neutrophils, Monocytes) were decreased significantly in c.mparison to control group. 4. Absolute cell number of $Neutrophil^+Gr-1^+$ were decreased significantly in comparison to control group. 5. CCR3 mRNA expressions were decreased significantly in comparison to control group. 6. IL-4, IFN-${\gamma}$ production levels were decreased significantly in comparison to control group. 7. The epithelial tissue thickness, leucocytes infiltration, erythema, edema, excoriation, scaling, mast cells infiltrations in dorsal skin were decreased in comparison to control group. Conclusions : These results indicate that DOGO phreatic water(contain sulphur) can be used for helping treat atopic dermatitis.

A Study on the Status of Oral Health & Oral Health Attitude of Workers in Industries (근로자의 구강건강실태와 구강건강관리행동에 관한 조사)

  • Park, Hong-Ryurn
    • Journal of dental hygiene science
    • /
    • v.6 no.3
    • /
    • pp.177-186
    • /
    • 2006
  • The purpose of this study was to obtain baseline data for establishing oral health policy and developing oral health among industrial workers. A question was used to question paper 226 workers of D heavy industrial company in Sacheon-City. The result obtained were as follows: 1.Generally dental patients asked to not prevention treatment but treatment of dental disease. 2.Most of workers respondent that their oral health is so so.(52.2%). 3.Respondents reported 76.1% of dental calculus, 55.8% of sensitive to cold and hot things. 4.Oral health attitude is tooth brushing experience (39.8%), scaling experience (75.7%), when brushed area all teeth, gingiva and tongue(47.3%). 5.81.8% of respondents received no teeth pain when brushing time is over 3 minutes and 83.7% of smokers had calculus.

  • PDF

The Noise Level Assessment of Dental Equipment (치과 의료장비의 소음 수준 평가)

  • Lee, Jeong-Suk;Han, Ye-Seul;Cho, Young-Sik
    • Journal of dental hygiene science
    • /
    • v.15 no.5
    • /
    • pp.603-611
    • /
    • 2015
  • This research is aimed at cutting off hearing loss and other harmful factors due to noise and providing basic material for noise reduction plan. As the research method, this research assessed noise by measuring acoustic pressure level and frequency in various situation of non-treatment and treatment. As the measurement result, average noise degree of high speed handpiece of non-treatment, ultrasonic waves scaler, and low speed handpiece showed 58~66 dB(A). Average noise degree of scaling of treatment, tooth elimination, and denture adjust showed 73~81 dB(A). The result is inferior to recognized standards of noise induced hearing loss. But the result of assessing this with (noise rating) NR curve was NR-73~78, which exceeded general workplace noise standard. This level can cause hearing loss when exposed to a long time. Therefore, treatment office noise during dental treatment can cause psychological and physical damage in dental clinic employees, and it is urgently required to establish systematic and active noise reduction plan.

A Study on Categorizing Subway Station Areas in Seoul by Rail Use Pattern (서울시 역세권의 유형화에 관한 연구 (요일별 시간대별 지하철 이용인구를 중심으로))

  • Sung, Hyun-Gon;Kim, Tae-Hyun
    • Journal of Korean Society of Transportation
    • /
    • v.23 no.8 s.86
    • /
    • pp.19-29
    • /
    • 2005
  • The purpose of this study is to categorize subway station areas in Seoul by rail use characteristic. Most studies have categorized rail-oriented areas, based on land use patterns or/and urban spatial structure in Korea as well as the United States. However, the land use pattern of a subway station area tends to form by the real use of subway users since the latter plays an important role in forming the former. Therefore, the study is expected to contribute to the planning and policy of subway station areas in Seoul by analyzing characteristics of rail use. To achieve the purpose, the study uses a factor analysis for rail use, in terms of time of the day and day of the week. and then conducted a multidimensional scaling method to identify a relation of the real pattern to land use pattern. The results find that the Seoul subway station areas are categorized into residential, commercial and recreational, and office-centered ones. Furthermore, unlike the results of previous studies, the study identifies that many station areas have the mixed characteristics of economic activities. That is, they form more than a centered function such as residential and commercial, residential and office, commercial and office, residential, commercial and office. In addition, the study identifies that there is a close connection between rail use and land one. In short, identification of these mixed characteristics for subway station areas is expected to contribute to developing the planning and development method of TOD in Korea.

Analysis of Air Voids System Using Image Analysis Technique in Hardened Concrete (화상분석법을 통한 경화 콘크리트의 미세 공극 구조 분석)

  • Yun Kyong-Ku;Jeong Won-Kyong;Jun In-Koo;Lee Bong-Hak
    • Journal of the Korea Concrete Institute
    • /
    • v.16 no.6 s.84
    • /
    • pp.741-750
    • /
    • 2004
  • Air voids in hardened concrete have an important influence on concrete durability such as freeze-thaw resistance, surface scaling resistance, and water permeability, and they have been characterized by spacing factor Linear traverse and point count methods in ASTM standard have been used in estimating an air void system in hardened concrete. However, these methods require lots of time and efforts, further they are not repeatable. Image analysis method could be utilized In estimating an air void systems in hardened concrete with a developments of microscope, digital camera and computer program. The purpose of this study was to develope image analysis method and provide a guideline by comparing the results from ASTM method and image analysis method. The concerns were at air void content and diameter distribution, air voids system as well as spacing factors. The experimental variables included air content by air entrained agent (0, 0.01, $0.03\%$) and depth of specimen (top, middle, bottom). The result showed that it was possible to calculate spacing factor using image analysis technique, as well as air content, air diameter distribution, and air structure. This study also contributed in developing an reasonable and repeatable image analysis method.

A study on the relationship of dating to oral health state among people in their 20s (20대 연령층의 이성교제 여부에 따른 구강위생상태에 관한 조사 연구)

  • Lee, Kyung-Hee;Gwon, Hyun-Jung;Youn, Hye-Jeong
    • Journal of Korean society of Dental Hygiene
    • /
    • v.7 no.2
    • /
    • pp.177-187
    • /
    • 2007
  • The purpose of this study was to examine whether dating affected young people's concern for their looks and their oral health state, and to motivate students to promote their oral health, as national oral health depended on students who would grow into eligible members of society in the near future. Relevant literature and data were reviewed, and a survey was conducted on residents in and around Seoul, who were in their 20s, for approximately three months from June through August 2006 to find out about their oral health status. The findings of the study were as follows: 1. Whether they were seeing someone or not was investigated, and it's found that 37.5 percent had a girl friend or boy friend, and that 6.7 percent hadn't. 2. Concerning the state of dating, 40.3 percent, the largest percentage, had been dating for less than a year, and the largest number of them that accounted for 23.6 percent had been dating one person till then, 4.0 percent were considering getting married with those whom they were seeing. The most dominant type of love was eros(romantic or ardent love; 41.7%), followed by stroge(friendly love; 33.3%), and agape(altruistic, devoted love; 12.5%). 3. As for the impact of dating on oral health status, those who were seeing someone were similar to those who weren't in toothbrushing frequency, toothbrushing time and simplified oral hygiene index. There was no significant gap between the two. 4. Concerning the influence of dating on dental-treatment experience, no statistically significant intergroup differences were found in experiences of taking dental-caries treatment, bad-breath treatment and teeth-whitening treatment. There was a statistically significant intergroup gap only in scaling experience(pE0.05). 5. Regarding the impact of dating on oral health care, 59.7 percent of those who were dating thought that it affected oral health care, and the same rate of the others who weren't stood at 38.3 percent. There was a statistically significant gap between the two(pE0.01). 6. As to the influence of general characteristics on oral hygiene index, their age and gender made no statistically significant differences to that. By occupation, however, many of the company employees were in good oral health, and many of them were in bad oral health, too. The office workers were statistically significantly different from the others in that regard(pE0.01).

  • PDF

Sensibility Evaluation for Car Navigation System based on Vehicle-type Preference (선호 차종별 자동차 네비게이션 시스템의 감성평가)

  • Park Sung Joon;Kim Sung Hoon
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.9 no.3
    • /
    • pp.71-79
    • /
    • 2004
  • Owing to the rapid increase of the number of automobiles, the traffic is being heavily crippled as time goes by. To provide drivers with better safety and convenience, a variety of CNSs(Car Navigation System) are being installed more and more specially for the vehicles which are produced in recent days. As the CNS has gained the public popularity, it has been playing a role as a component of the multimedia system in a vehicle in addition to providing the capability of route guidance service. It is, therefore, now recognized as an important unit of the vehicle interior system. As the situation has been changed as formerly described, it is necessary that not only the functions but also the usability and exterior features are to be designed to suit customers' tastes. This paper is an attempt to find out what the major sensibility factors which customers want as far as a CNS is concerned are. Because these factors can differ from a vehicle type to another that customers prefer, the analysis is based on the vehicle preference. It is proved that MDS(Multi Dimensional Scaling) is an effective method to analyze the sensibility factors for the different types of vehicles. The result shows that for the people who prefer the sedan-type vehicles, luxuriousness, harmoniousness, and texture are major factors. For people who like sports car, faminism, salience, and dynamics are major factors. For people who prefer SUV's(Sports Utility Vehicle) or MPV's(Multi Purpose Vehicle), solidity, dynamics, and convenience are important.

  • PDF

Efficient Mining of Frequent Subgraph with Connectivity Constraint

  • Moon, Hyun-S.;Lee, Kwang-H.;Lee, Do-Heon
    • Proceedings of the Korean Society for Bioinformatics Conference
    • /
    • 2005.09a
    • /
    • pp.267-271
    • /
    • 2005
  • The goal of data mining is to extract new and useful knowledge from large scale datasets. As the amount of available data grows explosively, it became vitally important to develop faster data mining algorithms for various types of data. Recently, an interest in developing data mining algorithms that operate on graphs has been increased. Especially, mining frequent patterns from structured data such as graphs has been concerned by many research groups. A graph is a highly adaptable representation scheme that used in many domains including chemistry, bioinformatics and physics. For example, the chemical structure of a given substance can be modelled by an undirected labelled graph in which each node corresponds to an atom and each edge corresponds to a chemical bond between atoms. Internet can also be modelled as a directed graph in which each node corresponds to an web site and each edge corresponds to a hypertext link between web sites. Notably in bioinformatics area, various kinds of newly discovered data such as gene regulation networks or protein interaction networks could be modelled as graphs. There have been a number of attempts to find useful knowledge from these graph structured data. One of the most powerful analysis tool for graph structured data is frequent subgraph analysis. Recurring patterns in graph data can provide incomparable insights into that graph data. However, to find recurring subgraphs is extremely expensive in computational side. At the core of the problem, there are two computationally challenging problems. 1) Subgraph isomorphism and 2) Enumeration of subgraphs. Problems related to the former are subgraph isomorphism problem (Is graph A contains graph B?) and graph isomorphism problem(Are two graphs A and B the same or not?). Even these simplified versions of the subgraph mining problem are known to be NP-complete or Polymorphism-complete and no polynomial time algorithm has been existed so far. The later is also a difficult problem. We should generate all of 2$^n$ subgraphs if there is no constraint where n is the number of vertices of the input graph. In order to find frequent subgraphs from larger graph database, it is essential to give appropriate constraint to the subgraphs to find. Most of the current approaches are focus on the frequencies of a subgraph: the higher the frequency of a graph is, the more attentions should be given to that graph. Recently, several algorithms which use level by level approaches to find frequent subgraphs have been developed. Some of the recently emerging applications suggest that other constraints such as connectivity also could be useful in mining subgraphs : more strongly connected parts of a graph are more informative. If we restrict the set of subgraphs to mine to more strongly connected parts, its computational complexity could be decreased significantly. In this paper, we present an efficient algorithm to mine frequent subgraphs that are more strongly connected. Experimental study shows that the algorithm is scaling to larger graphs which have more than ten thousand vertices.

  • PDF