• Title/Summary/Keyword: Location aware

Search Result 286, Processing Time 0.026 seconds

Empirical Study on Factors Influencing the Value of Mobile Advertising: From the Perspective of Information Value (정보 가치 관점에서 바라본 모바일 광고 가치의 설명 요인에 관한 실증적 연구)

  • Park, Chul-Woo;Ahn, Joong-Ho;Jahng, Jung-Joo;Kim, Eun-Jin
    • Information Systems Review
    • /
    • v.8 no.2
    • /
    • pp.29-49
    • /
    • 2006
  • The introduction of the Digital Economy has formed a new market producing and trading information. Depending on the current contexts, each user evaluates identical information differently. It is difficult, even though important, to create and deliver the information customized to individual users by using some factors as time, location, and their personal characteristics. Information value, therefore, could be influenced by the capability of information systems to delivery useful information based on individual contexts to the right user immediately at the right time. From this point of view, we argue mobile systems which are able to be aware of individual contexts and deliver contextual information in real time can improve information value easily than other systems can. This research presents the results of an empirical test about antecedents to mobile advertising value. Though context relevance doesn't influence directly mobile advertising value, it plays an important role enhancing information usefulness which has great influence on mobile advertising value. Moreover, to supply information connected with users' context overcomes the effect of irritation. Lastly, entertainment can improve mobile advertising value as satisfying user's hedonic desire beyond the information source supporting decision making.

Acceleration sensor, and embedded system using location-aware (가속센서를 이용한 위치인식과 임베디드시스템)

  • Roh, Chang-Bae;Na, Won-Shik
    • Journal of Convergence Society for SMB
    • /
    • v.3 no.2
    • /
    • pp.51-56
    • /
    • 2013
  • Real-time processing of sensor data network, is one of the important factors. Each node in the detected data are required to be transmitted within a certain time since the accurate processing is possible. Thus, the data nodes are successfully delivered within a specified time, it is very important to check whether the. Recently more and more accurate real-time embedded systems are reliable and haejyeoseo been able to provide sophisticated services. Because of the inherent complexity of embedded systems in the physical world and the difficulty of predicting the difficulty of a safe design constraints on the runtime violation of system as to cause unexpected causes. Each node data in time detected by the time required to be passed in the appropriate processing is possible because the data transfer time in this paper, the monitoring of the sensor network through a node are allowed to exist within the time range and transmits data to the server Analysis of the data transfer time for checking whether the system was implemented. Implementation of the data transmission time to the process for analyzing and presenting, according to the procedure suggested by the transit time required for analysis a time difference analysis method, a data collection method and a data transmission time and transmission time calculating method presented.

  • PDF

Study on Establishment of Deoksugung Palace, Tourist Information Services using Augmented Reality(AR) Technology (증강현실(AR) 기술을 이용한 덕수궁 관광안내서비스 구축방안 연구)

  • Oh, Sung-hwan;Kim, Ki-duk
    • Korean Journal of Heritage: History & Science
    • /
    • v.46 no.2
    • /
    • pp.26-45
    • /
    • 2013
  • Sudden increase exceeding 30million in the number of smart phone users, and rising interest in the technology of augmented reality, is now trying to combine it with AR technology in other areas very much. The field of cultural heritage, which has been constructed by the Internet and 3D technology, is not unusual and this field is now rapidly changing thanks to the AR technology which can make users experience cultural heritage with high reality. The Palaces in Seoul, however, use fragmentary tools of information - lack of heritage commentators, leaflet, etc, even though the number of visitors is gradually increasing. Therefore, three-dimensional and comprehensive cultural heritage information service is needed with the guidance in the mobile era. This study utilizes the AR technology for building the Deoksugung Tourist Information Service Application(App.) applying the markerless-based recognition technology which is a more advanced tool than the location-based AR technology. This new AR technology can switch perceived real images such as the tablet of the King in the Palace of in the real world, patterns and pedestals into virtual world, which can reproduce the damaged cultural assets as 3D. This also composes photos of the past with the current buildings, which can increase people's interest and absorption of the contents, and helps them understand and be aware of Korean traditional culture and cultural heritage effectively. In addition, convergence between IT new technology, Augmented Reality(AR) and humanities through storytelling based implementation of cultural heritage in smart phone is attempted to demonstrate that there is strength in which augmented reality technique exerts infinite creativity based on actual reality world.

Frequent Origin-Destination Sequence Pattern Analysis from Taxi Trajectories (택시 기종점 빈번 순차 패턴 분석)

  • Lee, Tae Young;Jeon, Seung Bae;Jeong, Myeong Hun;Choi, Yun Woong
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.39 no.3
    • /
    • pp.461-467
    • /
    • 2019
  • Advances in location-aware and IoT (Internet of Things) technology increase the rapid generation of massive movement data. Knowledge discovery from massive movement data helps us to understand the urban flow and traffic management. This paper proposes a method to analyze frequent origin-destination sequence patterns from irregular spatiotemporal taxi pick-up locations. The proposed method starts by conducting cluster analysis and then run a frequent sequence pattern analysis based on identified clusters as a base unit. The experimental data is Seoul taxi trajectory data between 7 a.m. and 9 a.m. during one week. The experimental results present that significant frequent sequence patterns occur within Gangnam. The significant frequent sequence patterns of different regions are identified between Gangnam and Seoul City Hall area. Further, this study uses administrative boundaries as a base unit. The results based on administrative boundaries fails to detect the frequent sequence patterns between different regions. The proposed method can be applied to decrease not only taxis' empty-loaded rate, but also improve urban flow management.

A Study on the Cognition of Rehabilitation Practitioners Working at Community Rehabilitation Centers Toward Sensory Integration Therapy (장애인복지관에 근무하는 재활전문가들의 감각통합치료에 대한 인식조사)

  • Hwang, Ki-Cheol;Chang, Moon-Young;Ro, Hyo-Lyun
    • The Journal of Korean Academy of Sensory Integration
    • /
    • v.6 no.1
    • /
    • pp.13-23
    • /
    • 2008
  • Objective : The purpose of this study is to investigate awareness of rehabilitation practitioners working at community wellness centers regarding the sensory integration (SI) therapy. Methods : 121 rehabilitation practitioners working at community wellness centers, located in Seoul Gyeonggi, Daegu Gyeongbuk and Busan Ulsan, participated in a questionnaire survey to examine their awareness of SI therapy. The questionnaire constructed based on four elements of the information about SI therapy; SI therapy's purpose, target population and technical process, and the qualification of SI therapist. Correlations between general characteristics and the four awareness elements of SI information were explored. The level of recognition on SI therapy were examined in various perspective such as 'have heard', 'means of the recognition', 'easiness of getting information', 'recognition of necessity of SI therapy', 'willing to participate in professional education course' and 'opinions for improving recognition'. Result : There is significant difference in awareness of the all four elements of SI informations depends on several general characteristics; practitioner's clinical field, location of the center, whether SI service has been provided or not at the center, whether the practitioner carry out SI therapy, and the practitioner's clinical experience in SI therapy. Specially, the recognition of occupational therapists is relatively high compared other rehabilitation practitioners. In terms of level of recognition, most rehabilitation practitioners(96.7%) are well-aware of necessity of sensory integration therapy. 79.4% of the practitioners manifest somewhat of difficulty in getting information related SI therapy. 93.4% of the practitioners are willing to participate in professional education course for SI therapy. Opinion for improving recognition with the most number of people(21) chosen is 'educational revitalization'. Conclusion : Many rehabilitation practitioners working at community wellness centers recognize the necessity of understand SI therapy, but there is uneasiness to get relative and valid information. There are difference awareness of the SI therapy Revitalization of education for SI therapy may provide an opportunity to improve level recognition of rehabilitation practitioners. It is suggested that organ related rehabilitation, there is a need for public relations.

  • PDF

Animal Infectious Diseases Prevention through Big Data and Deep Learning (빅데이터와 딥러닝을 활용한 동물 감염병 확산 차단)

  • Kim, Sung Hyun;Choi, Joon Ki;Kim, Jae Seok;Jang, Ah Reum;Lee, Jae Ho;Cha, Kyung Jin;Lee, Sang Won
    • Journal of Intelligence and Information Systems
    • /
    • v.24 no.4
    • /
    • pp.137-154
    • /
    • 2018
  • Animal infectious diseases, such as avian influenza and foot and mouth disease, occur almost every year and cause huge economic and social damage to the country. In order to prevent this, the anti-quarantine authorities have tried various human and material endeavors, but the infectious diseases have continued to occur. Avian influenza is known to be developed in 1878 and it rose as a national issue due to its high lethality. Food and mouth disease is considered as most critical animal infectious disease internationally. In a nation where this disease has not been spread, food and mouth disease is recognized as economic disease or political disease because it restricts international trade by making it complex to import processed and non-processed live stock, and also quarantine is costly. In a society where whole nation is connected by zone of life, there is no way to prevent the spread of infectious disease fully. Hence, there is a need to be aware of occurrence of the disease and to take action before it is distributed. Epidemiological investigation on definite diagnosis target is implemented and measures are taken to prevent the spread of disease according to the investigation results, simultaneously with the confirmation of both human infectious disease and animal infectious disease. The foundation of epidemiological investigation is figuring out to where one has been, and whom he or she has met. In a data perspective, this can be defined as an action taken to predict the cause of disease outbreak, outbreak location, and future infection, by collecting and analyzing geographic data and relation data. Recently, an attempt has been made to develop a prediction model of infectious disease by using Big Data and deep learning technology, but there is no active research on model building studies and case reports. KT and the Ministry of Science and ICT have been carrying out big data projects since 2014 as part of national R &D projects to analyze and predict the route of livestock related vehicles. To prevent animal infectious diseases, the researchers first developed a prediction model based on a regression analysis using vehicle movement data. After that, more accurate prediction model was constructed using machine learning algorithms such as Logistic Regression, Lasso, Support Vector Machine and Random Forest. In particular, the prediction model for 2017 added the risk of diffusion to the facilities, and the performance of the model was improved by considering the hyper-parameters of the modeling in various ways. Confusion Matrix and ROC Curve show that the model constructed in 2017 is superior to the machine learning model. The difference between the2016 model and the 2017 model is that visiting information on facilities such as feed factory and slaughter house, and information on bird livestock, which was limited to chicken and duck but now expanded to goose and quail, has been used for analysis in the later model. In addition, an explanation of the results was added to help the authorities in making decisions and to establish a basis for persuading stakeholders in 2017. This study reports an animal infectious disease prevention system which is constructed on the basis of hazardous vehicle movement, farm and environment Big Data. The significance of this study is that it describes the evolution process of the prediction model using Big Data which is used in the field and the model is expected to be more complete if the form of viruses is put into consideration. This will contribute to data utilization and analysis model development in related field. In addition, we expect that the system constructed in this study will provide more preventive and effective prevention.