• Title/Summary/Keyword: Mobile big data

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Prerequisites on Smart Healthcare in the Perspective of Service Design : Focusing on the Elderly Experience Case (서비스 디자인 관점에서 본 스마트 헬스케어의 선행 조건 : 고령자 경험 사례를 중심으로)

  • Kim, Ho-Da;Joo, Ae-Ran
    • Journal of Information Technology Applications and Management
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    • v.28 no.3
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    • pp.49-58
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    • 2021
  • Due to the increasing interest in wellness aroused by the aging population and the pursuing feature of active old age, Korean elderly set importance on long life with their healthy condition. Following the change in the paradigm of the medical delivery system from hospital-oriented, treatment-oriented to personal-centered and self-care, Service design application of Smart Healthcare for the elderly became valuable. Smart Healthcare is a healthcare service provided through the fusion of ICT technologies including mobile/wearable devices, IoT, big data, and information technology, and it is utilized to prevent diseases managing abundant health information and living habits. As a methodology for delivering such Smart Healthcare to the elderly, Service design can be adopted. Therefore, this study would like to present the perquisites of Smart Healthcare design for the elderly through analyzing the results from in-depth interview methods between the elderly and medical staff. As a result of this study, guidelines for Service design application of health vulnerability management for the elderly utilizing smart phones were presented. Therefore, this study presented four prerequisites composed of 'high level of supplementation and ethical decision making', 'improvement of inequality in accessibility and experience', 'resolving problems in policy implementation' and 'user-friendliness' for the Smart Healthcare service design for the elderly. Overall, Service design is expected to play an innovative role in improving the quality of life for the elderly through the process of collecting and delivering information on Smart Healthcare centered on the experience of the elderly.

Contact Tracking Development Trend Using Bibliometric Analysis

  • Li, Chaoqun;Chen, Zhigang;Yu, Tongrui;Song, Xinxia
    • Journal of Information Processing Systems
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    • v.18 no.3
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    • pp.359-373
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    • 2022
  • The new crown pneumonia (COVID-19) has become a global epidemic. The disease has spread to most countries and poses a challenge to the healthcare system. Contact tracing technology is an effective way for public health to deal with diseases. Many experts have studied traditional contact tracing and developed digital contact tracking. In order to better understand the field of contact tracking, it is necessary to analyze the development of contact tracking in the field of computer science by bibliometrics. The purpose of this research is to use literature statistics and topic analysis to characterize the research literature of contact tracking in the field of computer science, to gain an in-depth understanding of the literature development status of contact tracking and the trend of hot topics over the past decade. In order to achieve the aforementioned goals, we conducted a bibliometric study in this paper. The study uses data collected from the Scopus database. Which contains more than 10,000 articles, including more than 2,000 in the field of computer science. For popular trends, we use VOSviewer for visual analysis. The number of contact tracking documents published annually in the computer field is increasing. At present, there are 200 to 300 papers published in the field of computer science each year, and the number of uncited papers is relatively small. Through the visual analysis of the paper, we found that the hot topic of contact tracking has changed from the past "mathematical model," "biological model," and "algorithm" to the current "digital contact tracking," "privacy," and "mobile application" and other topics. Contact tracking is currently a hot research topic. By selecting the most cited papers, we can display high-quality literature in contact tracking and characterize the development trend of the entire field through topic analysis. This is useful for students and researchers new to field of contact tracking ai well as for presenting our results to other subjects. Especially when comprehensive research cannot be conducted due to time constraints or lack of precise research questions, our research analysis can provide value for it.

Recommendation of Best Empirical Route Based on Classification of Large Trajectory Data (대용량 경로데이터 분류에 기반한 경험적 최선 경로 추천)

  • Lee, Kye Hyung;Jo, Yung Hoon;Lee, Tea Ho;Park, Heemin
    • KIISE Transactions on Computing Practices
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    • v.21 no.2
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    • pp.101-108
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    • 2015
  • This paper presents the implementation of a system that recommends empirical best routes based on classification of large trajectory data. As many location-based services are used, we expect the amount of location and trajectory data to become big data. Then, we believe we can extract the best empirical routes from the large trajectory repositories. Large trajectory data is clustered into similar route groups using Hadoop MapReduce framework. Clustered route groups are stored and managed by a DBMS, and thus it supports rapid response to the end-users' request. We aim to find the best routes based on collected real data, not the ideal shortest path on maps. We have implemented 1) an Android application that collects trajectories from users, 2) Apache Hadoop MapReduce program that can cluster large trajectory data, 3) a service application to query start-destination from a web server and to display the recommended routes on mobile phones. We validated our approach using real data we collected for five days and have compared the results with commercial navigation systems. Experimental results show that the empirical best route is better than routes recommended by commercial navigation systems.

The Present Situation and Development Methods of the Communication Industry in China (중국 통신산업의 현황과 전망)

  • Song, Yun-Tao;Lee, Jong-Ho
    • The Journal of Industrial Distribution & Business
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    • v.9 no.4
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    • pp.73-82
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    • 2018
  • Purpose - Before the economic reforms, the Chinese communication industry was poorly developed. After China's entering to WTO, the Chinese market were gradually opened, domestic companies will be faced with more and more pressures of competition from the world rival countries. As time goes on, the overseas telecommunications companies will occupy the Chinese market with the opening of China Telecommunications market to outside. So this paper focuses on problems and development methods based on the research about the present situation and development methods of communication industry(communication manufacturing industry and communication manufacturing industry) in China. Research design, data, and methodology - This study analyzed the policies of China's entering to WTO. This paper observed previous researches and made an empirical research on Chinese communication industry based on the governmental policies, strategies, books and previous papers with several kinds of clear data announced formally by China authorities. Results - Most recently, reorganization of the communication industry has brought good opportunities for the development of the communication manufacturing enterprises. This paper analyze policy changes of Chinese communication industry, the status of communication manufacturing industry and communication service industry. Finally, this study for further research analyzes the existing problems and puts forward some practicable measures to solve them. Conclusions - Looking ahead, with China's rapid economic development and steady deepening of reform and opening-up, the Chinese communication industry is faced with an even broader prospect of development. Chinese communication industry will be become the pillar one in national economy after 10 years development. Foreign communication companies accelerated investment and progresses to Chinese information and communication markets. Positive ones are more foreign investment, export increase, domestic innovation, communication industry made steep growth. But negative ones are obstacles of domestic companies' development and jobless rate increase etc. Second communication manufacturing industry made good development, but computer and TV related industry made decline in growth. Third, market sizes of internet and mobile services are growing but the size of wired communication services is downsizing gradually. To overcome them, the studies of components or parts of communication manufacturing industry are needed individually. Second China Unicom, China Telecom, China Mobile etc. are Chinese representatives. The sales volumes are very similar at the beginning, but now they are different and make big differences. So the analysis about, their differences and its impact, are needed.

A MapReduce-based kNN Join Query Processing Algorithm for Analyzing Large-scale Data (대용량 데이터 분석을 위한 맵리듀스 기반 kNN join 질의처리 알고리즘)

  • Lee, HyunJo;Kim, TaeHoon;Chang, JaeWoo
    • Journal of KIISE
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    • v.42 no.4
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    • pp.504-511
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    • 2015
  • Recently, the amount of data is rapidly increasing with the popularity of the SNS and the development of mobile technology. So, it has been actively studied for the effective data analysis schemes of the large amounts of data. One of the typical schemes is a Voronoi diagram based on kNN join algorithm (VkNN-join) using MapReduce. For two datasets R and S, VkNN-join can reduce the time of the join query processing involving big data because it selects the corresponding subset Sj for each Ri and processes the query with them. However, VkNN-join requires a high computational cost for constructing the Voronoi diagram. Moreover, the computational overhead of the VkNN-join is high because the number of the candidate cells increases as the value of the k increases. In order to solve these problems, we propose a MapReduce-based kNN-join query processing algorithm for analyzing the large amounts of data. Using the seed-based dynamic partitioning, our algorithm can reduce the overhead for constructing the index structure. Also, it can reduce the computational overhead to find the candidate partitions by selecting corresponding partitions with the average distance between two seeds. We show that our algorithm has better performance than the existing scheme in terms of the query processing time.

A Method of Inspecting ITO Pattern and Node Using Measured Data of Each Node's Mutual Capacitance ITO Sensor (상호 유도 정전하 방식 ITO 센서의 노드별 측정 데이터를 이용한 ITO패턴과 노드 검사 방법)

  • Han, Joo-Dong;Moon, Byoung-Joon;Choi, Kyung-Jin;Kim, Dong-Han
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.7
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    • pp.230-238
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    • 2014
  • In this paper, we propose the possible way of accurate analysis and examination of ITO sensor to discriminate whether mutual capacitance ITO sensor is defective by using mutual capacitance of data in each node which consists of electrodes inside of ITO sensor. We have analyzed the structure characteristic of mutual capacitance ITO sensor which is used as an input device for not only small size electronics like mobile phone and tablets but also big size electronics and designed the circuit to inspect ITO sensor using touch screen panel IC. Set a variable related with mutual capacitance of charge and discharge and Implement to find and analyze accurate position when defect is made through the data from each node of ITO sensor. First, we can set a yield effective range through the first experiment data of mutual capacitance ITO sensor and by using the data of each node of ITO sensor which is the result from the second experiment, we can verify accuracy and effectiveness of effective range from the first experiment as a sample which is used in this experiment.

Twitter and Retweet Context: User Characteristics and Message Attributes of Twitter for PR and Marketing (기업의 홍보 마케팅용 트위터의 리트윗 현황 분석: 이용자 특성과 콘텐츠 속성을 중심으로)

  • Cho, Tae-Jong;Yun, Hae-Jung;Lee, Choong-C.
    • Information Systems Review
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    • v.14 no.1
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    • pp.21-35
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    • 2012
  • The rapid growth and popularity of Twitter have been one of the most influential phenomena in the era of social network system and the mobile internet, which also opens up opportunities for new business strategies; in particular, PR and marketing area. This study analyzed use of Twitter in terms of user characteristics and message attributes. Actual field data from the Twitter for PR and Marketing of a representative Korean IT company (Company "K") was used for this analysis. Research findings show that overall corporate twitter users show passive attitude in retweet behavior. Also, users who have relatively small network size (less than 1,000) are more active in retweet than power twitterians that have big network size(over than 10,000). It is showed that the rate of retweet is higher in the order of recruiting, promotional event, IT information, and general PR message. In the conclusion section, practical implications based on the research finding are thoroughly discussed.

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Development of Android App for Suppor ting Smooth Multimedia Streaming Service Using Frame Buffer (프레임 버퍼를 이용한 매끄러운 멀티미디어 스트리밍 서비스를 지원하는 안드로이드 앱 개발)

  • Seo, Sang-min;Kwon, Jonnho;Choi, Yoon-Ho
    • Journal of Internet Computing and Services
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    • v.17 no.1
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    • pp.55-64
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    • 2016
  • Existing Android applications for streaming video in real time are dependent on the codec, which composes the encoding function, and the version of Android operating system. Also, for streaming video in real time, most applications should be connected with a separate desktop PC. To overcome these disadvantages, we propose a new application, which records and streams video in real time. Specifically, the proposed application uses the flash video file format, which is the common media file format supported by various versions of Android operating system. Through experiments, we show that it is possible for the proposed application to record the video screens more than 20 frames per second and to stream it in real time while using the existing video encoding methods.

Design and Implementation of Self-installing Agricultural Automation System for Remote Monitoring and Control Based on LPWA Technology (저전력 장거리 무선통신기술(LPWA) 기반 원격감시 및 제어가 가능한 자가설치형 농업 자동화 시스템 설계 및 구현)

  • Baek, JaeGu;Lee, Hyung-Woo
    • Journal of Internet of Things and Convergence
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    • v.3 no.1
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    • pp.13-19
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    • 2017
  • In this paper, we designed and implemented Thing Connected-Green, a self-installing agricultural automation system capable of remote monitoring and control based on Low Power Wide Area communication technology (LPWA). Farming requires water, sunlight, soil, fertilizer, temperature control, etc., and these elements can be remotely monitored and controlled using an automated system. Using this system, it is possible to construct an agricultural automation system which can be optimized according to the kind of plant and cultivation environment from vinyl house to flower garden. The information gathered from the sensor is stored in the server through the gateway, and the optimal cultivation environment can be set and operated using the smart phone based on the big data.

Design of a Personalized Service Model for Developing Research Support Tool (연구지원 도구의 개인화 서비스 모델 설계)

  • Choi, Hee-Seok;Park, Ji-Young;Shim, Hyoung-Seop;Kim, Jae-Soo;You, Beom-Jong
    • The Journal of the Korea Contents Association
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    • v.15 no.8
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    • pp.37-45
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    • 2015
  • With advancement in information technologies and a better mobile environment, the paradigm of service is shifting again from web portals to networked-applications based on individual application programs. Furthermore, as more investment is being made in R&D, the efforts to enhance R&D productivity are becoming important. In this paper, we designed a personalized service model for developing a tool to assist researchers in their R&D activities. To do this, we first compared services and tools in terms of information activities of researchers in R&D. In addition, we also analyzed changes of information environment such as open expansion of information and data, enhancement of personal information protection, popularization of social networking service, very big contents, advances in web platform technology in terms of personalization, and defined some directions of developing a personalized service. Subsequently we designed a personalized service model of research support tool in the views of functions, contents, operation, and defined personalized design goals and principles for implementing it as standard, participation, and open.