• Title/Summary/Keyword: information & data security

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Personalized Recommendation System for IPTV using Ontology and K-medoids (IPTV환경에서 온톨로지와 k-medoids기법을 이용한 개인화 시스템)

  • Yun, Byeong-Dae;Kim, Jong-Woo;Cho, Yong-Seok;Kang, Sang-Gil
    • Journal of Intelligence and Information Systems
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    • v.16 no.3
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    • pp.147-161
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    • 2010
  • As broadcasting and communication are converged recently, communication is jointed to TV. TV viewing has brought about many changes. The IPTV (Internet Protocol Television) provides information service, movie contents, broadcast, etc. through internet with live programs + VOD (Video on demand) jointed. Using communication network, it becomes an issue of new business. In addition, new technical issues have been created by imaging technology for the service, networking technology without video cuts, security technologies to protect copyright, etc. Through this IPTV network, users can watch their desired programs when they want. However, IPTV has difficulties in search approach, menu approach, or finding programs. Menu approach spends a lot of time in approaching programs desired. Search approach can't be found when title, genre, name of actors, etc. are not known. In addition, inserting letters through remote control have problems. However, the bigger problem is that many times users are not usually ware of the services they use. Thus, to resolve difficulties when selecting VOD service in IPTV, a personalized service is recommended, which enhance users' satisfaction and use your time, efficiently. This paper provides appropriate programs which are fit to individuals not to save time in order to solve IPTV's shortcomings through filtering and recommendation-related system. The proposed recommendation system collects TV program information, the user's preferred program genres and detailed genre, channel, watching program, and information on viewing time based on individual records of watching IPTV. To look for these kinds of similarities, similarities can be compared by using ontology for TV programs. The reason to use these is because the distance of program can be measured by the similarity comparison. TV program ontology we are using is one extracted from TV-Anytime metadata which represents semantic nature. Also, ontology expresses the contents and features in figures. Through world net, vocabulary similarity is determined. All the words described on the programs are expanded into upper and lower classes for word similarity decision. The average of described key words was measured. The criterion of distance calculated ties similar programs through K-medoids dividing method. K-medoids dividing method is a dividing way to divide classified groups into ones with similar characteristics. This K-medoids method sets K-unit representative objects. Here, distance from representative object sets temporary distance and colonize it. Through algorithm, when the initial n-unit objects are tried to be divided into K-units. The optimal object must be found through repeated trials after selecting representative object temporarily. Through this course, similar programs must be colonized. Selecting programs through group analysis, weight should be given to the recommendation. The way to provide weight with recommendation is as the follows. When each group recommends programs, similar programs near representative objects will be recommended to users. The formula to calculate the distance is same as measure similar distance. It will be a basic figure which determines the rankings of recommended programs. Weight is used to calculate the number of watching lists. As the more programs are, the higher weight will be loaded. This is defined as cluster weight. Through this, sub-TV programs which are representative of the groups must be selected. The final TV programs ranks must be determined. However, the group-representative TV programs include errors. Therefore, weights must be added to TV program viewing preference. They must determine the finalranks.Based on this, our customers prefer proposed to recommend contents. So, based on the proposed method this paper suggested, experiment was carried out in controlled environment. Through experiment, the superiority of the proposed method is shown, compared to existing ways.

Evaluating of the Effectiveness of RTK Surveying Performance Based on Low-cost Multi-Channel GNSS Positioning Modules (다채널 저가 GNSS 측위 모듈기반 RTK 측량의 효용성 평가)

  • Kim, Chi-Hun;Oh, Seong-Jong;Lee, Yong-Chang
    • Journal of Cadastre & Land InformatiX
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    • v.52 no.2
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    • pp.53-65
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    • 2022
  • According to the advancement of the GNSS satellite positioning system, the module of hardware and operation software reflecting accuracy and economical efficiency is implemented in the user sector including the multi-channel GNSS receiver, the multi-frequency external antenna and the mobile app (App) base public positioning analysis software etc., and the multichannel GNSS RTK positioning of the active configuration method (DIY, Do it yourself) is possible according to the purpose of user. Especially, as the infrastructure of multi-GNSS satellite is expanded and the potential of expansion of utilization according to various modules is highlighted, interest in the utilization of multi-channel low-cost GNSS receiver module is gradually increasing. The purpose of this study is to review the multi-channel low-cost GNSS receivers that are appearing in the mass market in various forms and to analyze the utilization plan of the "address information facility investigation project" of the Ministry of Public Administration and Security by constructing the multi-channel low-cost GNSS positioning module based RTK survey system (hereinafter referred to as "multi-channel GNSS RTK module positioning system"). For this purpose, we constructed a low-cost "multi-channel GNSS RTK module positioning system" by combining related modules such as U-blox's F9P chipset, antenna, Ntrip transmission of GNSS observation data and RTK positioning analysis app through smartphone. Kinematic positioning was performed for circular trajectories, and static positioning was performed for address information facilities. The results of comparative analysis with the Static positioning performance of the geodetic receivers were obtained with 5 fixed points in the experimental site, and the good static surveying performance was obtained with the standard deviation of average ±1.2cm. In addition, the results of the test point for the outline of the circular structure in the orthogonal image composed of the drone image analysis and the Kinematic positioning trajectory of the low cost RTK GNSS receiver showed that the trajectory was very close to the standard deviation of average ±2.5cm. Especially, as a result of applying it to address information facilities, it was possible to verify the utility of spatial information construction at low cost compared to expensive commercial geodetic receivers, so it is expected that various utilization of "multi-channel GNSS RTK module positioning system"

Target Word Selection Disambiguation using Untagged Text Data in English-Korean Machine Translation (영한 기계 번역에서 미가공 텍스트 데이터를 이용한 대역어 선택 중의성 해소)

  • Kim Yu-Seop;Chang Jeong-Ho
    • The KIPS Transactions:PartB
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    • v.11B no.6
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    • pp.749-758
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    • 2004
  • In this paper, we propose a new method utilizing only raw corpus without additional human effort for disambiguation of target word selection in English-Korean machine translation. We use two data-driven techniques; one is the Latent Semantic Analysis(LSA) and the other the Probabilistic Latent Semantic Analysis(PLSA). These two techniques can represent complex semantic structures in given contexts like text passages. We construct linguistic semantic knowledge by using the two techniques and use the knowledge for target word selection in English-Korean machine translation. For target word selection, we utilize a grammatical relationship stored in a dictionary. We use k- nearest neighbor learning algorithm for the resolution of data sparseness Problem in target word selection and estimate the distance between instances based on these models. In experiments, we use TREC data of AP news for construction of latent semantic space and Wail Street Journal corpus for evaluation of target word selection. Through the Latent Semantic Analysis methods, the accuracy of target word selection has improved over 10% and PLSA has showed better accuracy than LSA method. finally we have showed the relatedness between the accuracy and two important factors ; one is dimensionality of latent space and k value of k-NT learning by using correlation calculation.

A Recognition for community Based Rehabilitation by Public Health Center Physical Therapists in Seoul Province (서울시 보건소 물리치료사들의 지역사회중심재활에 대한 인식)

  • Kim, Chan-Mun;Hong, Wan-Sung;Bae, Sung-Il
    • Journal of Korean Physical Therapy Science
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    • v.5 no.1
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    • pp.549-556
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    • 1998
  • To survey the recognition of Community Based Rehabilitation(CBR) by Public Health Center(PHC) Physical Therapists in Seoul Province. This study analysed general characteristic of Physical Therapists and cognition, participation, education, problems and requirements for CBR. The subjects of this study were 31 therapists who work at PHC in Seoul Province and Seoul City Childerns Municipal Hospital. Data was collected for 18 days from April 13 to 31, 1998 and results computed from 25 responses. First, Female therapists outnumber males. The age category 30 to 35 old represented 44.0% of the total number studied. 48.0% of therapists had worked more than 7 years and therapists usually 84.0% worked from 3 to 4 years at the PHC. Junior colleage graduates were 72.0%, and respondents with family responsibility were 52.0%. Second, Recently pain control and therapeutic exercises has become the major requirement of patients at PHC(56.0%). If the offered expanded services, a rehabilitation programe at PHC(36.0%) was highly. When asked about a working guide book, nobody had one. Third, 64.0% of therapists were aware of the present level of CBR, 28.0% of them had gotten an information from newspaper and mass media. Fourth, For CBR, 72.0% had positive ideas in which they could participate. 56.0% wished to compose a team of various rehabilitation specialists. 52.0% wished for the meeting day to be flexible and 64.0% desired to meet once or twice a week. Fifth, Almost all(92.0%) desired more educational opportunity about CBR. Example, once or twice a year(48.0%) and training period of 4 to 7 day(44.0%). They wanted to learn theory and parctice together(88.0%) and 48.0% wanted national mutirehabilitation center as a educational managing organization. Sixth, The most important requirement for accomplishing CBR by Physical Therapists was job security and adequate number of therapists(48.0%). Required number of physical therapists in the PHC was 3(52.0%). The cooperative agency should be the distict govement(32.0%) and community welfare center of the disabled persons(32.0%). Factors inhibiting the execution of CBR were lack of physical therapists(56.0%), and equipments for pain control and for therapeutic exercises(68.0%).

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A Review on Major Factors for Microalgae Biofuel Commercialization (미세조류 바이오연료 상용화를 위한 주요 인자 연구)

  • Kang, Do-Hyung;Heo, Soo-Jin;Oh, Chulhong;Ju, Se-Jong;Jeon, Seon-Mi;Choi, Hyun-Woo;Noh, Jae Hoon;Park, Se Hun;Kim, Tae-Young
    • Ocean and Polar Research
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    • v.34 no.4
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    • pp.365-384
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    • 2012
  • Microalgae are photosynthetic microorganisms that are highly productive in the presence of basic renewable natural sources (light, $CO_2$, water and nutrients). They can synthesize lipids, carbohydrates and proteins in a small number of days. Subsequently, these carbon-captured products can be processed into both biofuels and valuable co-products. Additionally, microalgae would be an ideal feedstock for replacing land-based food crops with cellular products as high energy density transportation fuels. These microscopic organisms could contribute a significant amount of renewable energy on a global scale. In Korea, microalgae biofuel research was common in the early 1990s. The research activities were unfortunately stopped due to limited governmental funds and low petroleum prices. Interest in algal biofuels in Korea has been growing recently due to an increased concern over oil prices, energy security, greenhouse gas emissions, and the potential for other biofuel feedstock to compete for limited agricultural resources. The high productivity of microalgae suggests that much of the Korean transportation fuel requirements can be met by biofuels at a production cost competitive with the increasing cost of petroleum seen in early 2008. At this time, the development of microlalgal biomass production technology remains in its infancy. This study reviewed microalgae culture systems and biomass production, harvesting, oil extraction, conversion, and technoeconomical bottlenecks. Many technical and economic barriers to using microalgal biofuels need to be overcome before mass production of microalgal-derived fuel substitutes is possible. However, serious efforts to overcome these barriers could become a large-scale commercial reality. Overall, this study provides a brief overview of the past few decades of global microalgal research.

A Study on Evaluation of the Appropriateness of Hospitalization for Patients with Stroke (뇌졸중 환자의 재원 적절성 평가에 관한 연구)

  • Choi, Eun-Mi;Yoo, In-Sook
    • Journal of Digital Convergence
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    • v.10 no.3
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    • pp.233-240
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    • 2012
  • This study aimed to clarify any factors that may have effect on the appropriateness of hospital admission and hospitalization with the intention of facilitating more efficient occupancy of hospital beds and better medical services in the aspect of their quality, minimizing unnecessary occupancy of beds, and ultimately helping patients requiring acute treatments to use immediately hospitals. This paper selected 154 Stroke patients who left neurology department of one general hospital from March, 1, 2006 to September, 31, 2010 as targets to meet the rate according to medical care security and to see the trend of recent 4 years. As study method, this paper analized medical treatment record with AEP to evaluate the appropriateness of hospital admission and stay and the collected data was computerized through SPSS 12.0. Based upon the results above, the conclusion was drawn that the higher appropriateness of hospital admission and the shorter length of hospital stay will lead to the higher appropriateness of hospitalization. In other words, it is required to provide hospitalized patients with all kinds of behaviors including medical treatments and nursing care service, management of pharmaceuticals, tests, rehabilitation and symptoms, as well as instructions and information for patients. Meanwhile, as it was found that the length of hospital stay may affect the appropriateness of hospitalization, the longer length of hospital stay may result in reduced bed turnover rate. In this light, it is necessary to organize a task force team responsible for evaluation and control of the appropriateness of hospitalization and hospital stay length to improve the quality of medical service in a medical center, so that patients can leave the center timely. Ultimately, governmental supports such as expansion of long-term care facilities will reduce the necessary length of hospital stay so that patients with stroke can receive rehabilitative treatments and long-term care service shortly after completion of acute treatments.

A Recognition for Community Based Rehabilitation by Public Health Center Physical Therapists in Kyoungki Province (경기도 보건소 물리치료사들의 지역사회심재활에 대한 인식)

  • Kim Chan-Mun;Jong Jae-Hoon
    • The Journal of Korean Physical Therapy
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    • v.10 no.1
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    • pp.75-80
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    • 1998
  • To survey the recognition of Community Based Rehabilitation (CBR) by Public Health Center(PHC) Physical Therapists in Kyoungki Province. This study analysed general characteristic of Physical Therapists and congnition, participation, education, problems and requireanents for CBR. The objects of this study were 37 therapists who work at 27 of 39 PHC in Kyoungki province and data was collected for 20days from Jan. 12 to 31. 1998 and the results computed from 32 responses. First, Female therapists outnumber males. The age category 30 to 35 old represneted $56.2\%$ of the total number studied. $59.4\%$ of therapists had worked more than 7 years and therapists usually$(46.9\%)$ worked from 6 month to 2 years at the PHC. Junior college graduates were $84.4\%$, and respondents with family responsibilirt were $65.6\%$. Second, Recently pain control has become the major requirment of patiants at PH$(53.1\%)$. If they offered expaneded services - a rehabilitation program $(53.1\%)$, home vistation $(31.3\%)$. when asked about a working guide book, nobody had one. Third, $68.7\%$ of therapists were aware of the present level of CBR, $40.9\%$ of them had gotten an information from educated colleagues, and $68.7\%$ of therapists were aware of the present level of CBR, $86.4\%$ of therapists felt responsible to provide rehabilitation Fourth, For CBR, $93.7\%$ had positive ideas in which they could participate. $73.3\%$ wished to composed a team of various rehabilitational specialists. $73.3\%$ wished for the meeting day to be flexible and $86.6\%$ desired to meet once or twice a week. Fifth, Almost all$(96.9\%)$ desired more educational opportunity about CBR. Example, once or twice a year$(56.2\%)$ and training period of 4-7 days $(43.7\%)$. They wanted to learn theory and practice together$(74.2\%)$ and $74.2\%$ wanted the mational multi-rehabilitation center as a educational managing organization. Sixth, The most important requirment for accomplishing CBR by physical therapists was job security and an adequate number of therapists$(84.4\%)$ Required number of physical therapists in the PHC was 3 $(43.7\%)$. The cooperative agency should be the district goverment organization $(56.2\%)$. Factors inhibiting the execution of CBR were lack of administrative support, physical therapists, and equipments for pain control and for therapeutic exercise.

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Back-Propagation Neural Network Based Face Detection and Pose Estimation (오류-역전파 신경망 기반의 얼굴 검출 및 포즈 추정)

  • Lee, Jae-Hoon;Jun, In-Ja;Lee, Jung-Hoon;Rhee, Phill-Kyu
    • The KIPS Transactions:PartB
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    • v.9B no.6
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    • pp.853-862
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    • 2002
  • Face Detection can be defined as follows : Given a digitalized arbitrary or image sequence, the goal of face detection is to determine whether or not there is any human face in the image, and if present, return its location, direction, size, and so on. This technique is based on many applications such face recognition facial expression, head gesture and so on, and is one of important qualify factors. But face in an given image is considerably difficult because facial expression, pose, facial size, light conditions and so on change the overall appearance of faces, thereby making it difficult to detect them rapidly and exactly. Therefore, this paper proposes fast and exact face detection which overcomes some restrictions by using neural network. The proposed system can be face detection irrelevant to facial expression, background and pose rapidily. For this. face detection is performed by neural network and detection response time is shortened by reducing search region and decreasing calculation time of neural network. Reduced search region is accomplished by using skin color segment and frame difference. And neural network calculation time is decreased by reducing input vector sire of neural network. Principle Component Analysis (PCA) can reduce the dimension of data. Also, pose estimates in extracted facial image and eye region is located. This result enables to us more informations about face. The experiment measured success rate and process time using the Squared Mahalanobis distance. Both of still images and sequence images was experimented and in case of skin color segment, the result shows different success rate whether or not camera setting. Pose estimation experiments was carried out under same conditions and existence or nonexistence glasses shows different result in eye region detection. The experiment results show satisfactory detection rate and process time for real time system.

The Use of Traditional Korean Medicine and its Affecting Factors among Patients with Chronic Disease in Jeju Province, Korea (만성질환자들의 한의약의료서비스 이용과 결정요인 -제주도 보건소이용 환자를 중심으로-)

  • Oh, Jong-Soo;Han, Dong-Woon;Im, Mun-Hyuk;Hong, Yong-Seok;Lee, Young-Ho;Noh, Hong-In
    • Journal of Society of Preventive Korean Medicine
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    • v.13 no.3
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    • pp.55-71
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    • 2009
  • Background : Traditional Korean medicine(TKM) has gained in popularity among chronic patients in recent years. The use of TKM among patients with chronic diseases is common, with about two thirds of patients using some form of TKM in Korea. Objectives : The purpose of this study is to analyze the use of TKM and determine what factors affect to use TKM among patients with chronic diseases. The study also aims to provide information on TKM therapies and assist therapy selection among various TKM therapies for patients with chronic diseases. Methods : The design of the study was descriptive cross-sectional, and data were collected using a 21-item questionnaire. This study was conducted with subjects with confirmed diagnosis of chronic diseases, who live in Jeju Province, Korea. Results : Among the participants, past or current TKM use was 66.7%, with a statistically significant difference in gender and level of health status groups(p<0.05), but no difference in age, marital status, education, occupation, and income groups. The most common therapies of TKM used by the patients included acupuncture(51.1%), physiotherapy(16.8%), cupping(13.5%), and herbal medicine(4.8%). The main benefits from TKM perceived by the patients were chronic diseases management and health promotion. In a logistic regression analysis, significant influencing factors related to TKM use were gender, family income level, the extent of recognition of efficacy, heath status, and health security program. Conclusions : In this study the socio-demographic and health status, recognition of TKM efficacy factors associated with TKM use among patients with chronic diseases were similar to those found in the general population. The findings suggest that due to the relatively high use of TKM among patients with chronic diseases in Korea, this topic should be taken into account in the development of a holistic approach for patients with chronic diseases and an efficient chronic disease management system. Additionally proactive and consistent management of TKM is necessary in the health care system in Korea.

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Design of NePID using Anomaly Traffic Analysis and Fuzzy Cognitive Maps (비정상 트래픽 분석과 퍼지인식도를 이용한 NePID 설계)

  • Kim, Hyeock-Jin;Ryu, Sang-Ryul;Lee, Se-Yul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.4
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    • pp.811-817
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    • 2009
  • The rapid growth of network based IT systems has resulted in continuous research of security issues. Probe intrusion detection is an area of increasing concerns in the internet community. Recently, a number of probe intrusion detection schemes have been proposed based on various technologies. However, the techniques, which have been applied in many systems, are useful only for the existing patterns of probe intrusion. They can not detect new patterns of probe intrusion. Therefore, it is necessary to develop a new Probe Intrusion Detection technology that can find new patterns of probe intrusion. In this paper, we proposed a new network based probe intrusion detector(NePID) using anomaly traffic analysis and fuzzy cognitive maps that can detect intrusion by the denial of services attack detection method utilizing the packet analyses. The probe intrusion detection using fuzzy cognitive maps capture and analyze the packet information to detect syn flooding attack. Using the result of the analysis of decision module, which adopts the fuzzy cognitive maps, the decision module measures the degree of risk of denial of service attack and trains the response module to deal with attacks. For the performance evaluation, the "IDS Evaluation Data Set" created by MIT was used. From the simulation we obtained the max-average true positive rate of 97.094% and the max-average false negative rate of 2.936%. The true positive error rate of the NePID is similar to that of Bernhard's true positive error rate.