• Title/Summary/Keyword: data dissemination

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A Short Path Data Routing Protocol for Wireless Sensor Network (단거리 데이터 전달 무선 센서네트워크 라우팅 기법)

  • Ahn, Kwang-Seon
    • The KIPS Transactions:PartC
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    • v.14C no.5
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    • pp.395-402
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    • 2007
  • Wireless sensor networks have many sensor nodes which response sudden events in a sensor fields. Some efficient routing protocol is required in a sensor networks with mobile sink node. A data-path template is offered for the data announcement and data request from source node and sink node respectively. Sensed data are transferred from source node to sink node using short-distance calculation. Typical protocols for the wireless networks with mobile sink are TTDD(Two-Tier Data Dissemination) and CBPER(Cluster-Based Power-Efficient Routing). The porposed SPDR(Short-Path Data Routing) protocol in this paper shows more improved energy efficiencies from the result of simulations than the typical protocols.

A Scheduling Scheme for Conflict Avoidance On-demand Data Broadcast based on Query Priority and Marking (질의 우선순위와 마킹에 기초한 충돌 회피 온디맨드 데이터 방송 스케줄링 기법)

  • Kwon, Hyeokmin
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.5
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    • pp.61-69
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    • 2021
  • On-demand broadcast is an effective data dissemination technique in mobile computing environments. This paper explores the issues for scheduling multi-data queries in on-demand broadcast environments, and proposes a new broadcast scheduling scheme named CASS. The proposed scheme prioritizes queries by reflecting the characteristics of multi-data queries, and selects the data that has not been broadcast in the query for the longest time as the broadcast data according to the query priority. Simulation is performed to evaluate the performance of CASS. The simulation results show that the proposed scheme outperforms other schemes in terms of the average response time since it can show highly desirable characteristics in the aspects of query data adjacency and data conflict rate.

A Study on Energy Platform Using Data in the US: Based on Opening Platform Model

  • Song, Minzheong
    • International journal of advanced smart convergence
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    • v.10 no.3
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    • pp.41-50
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    • 2021
  • The purpose of this study is to analyze various energy platforms using data in the US and to suggest directions and implications. Some of the leading energy platforms are selected and analyzed based on the opening platform model. We focus on the case analysis of the US utility companies. In case of the horizontal open platform, Green Button sponsor's 'Connect My Data (CMD)' driven by the government invites the utility companies to jointly develop the sponsor's data solution. In case of the vertical open platform, the certification program 'Share My Data (SMD)' allows backward compatibility, because the technical improvement is minimal. The utility companies benchmark Amazon's three-sided market mediation and prefer platform and category exclusivity. For the former, they have data analytics companies like Enervee, Opower and for the latter, they have electronics manufactures and energy service providers (ESPs) like Distributed Energy Resources (DERs). Based on this US case study, we suggest the energy platforms to open their platform for renewable energy supply, energy conservation, high-efficiency products, and residential DER dissemination. To successfully implement the government's energy transition policy, the US platforms should be benchmarked as a business model. Especially, it is needed for them to coordinate a platform ecosystem. To ensure trust in the products and services offered on the marketplace platform, platform's certification program is helpful.

Neural network based approach for dissemination of field measurement information

  • Shin Hyu-Soung;Pande Gyan N.;Kim Chang-Yong;Bae Gyu-Jin;Hong Sung-Wan
    • 한국지구물리탐사학회:학술대회논문집
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    • 2003.11a
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    • pp.176-183
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    • 2003
  • This paper presents a neural network based approach to disseminating information relating to experimental and field observations in engineering. Although the methodology is generic and can be applied to many areas of engineering science, attention is focussed here solely on geotechnical engineering applications. Field data relating to the settlement of foundations presented by Burland and Burbidge (1985) which led to their well known equation for calculation of settlement, now included in most text books, is re-visited. A part of the data, chosen randomly, is used to train an Artificial Neural Network (ANN), which relates foundation settlement to various causes as identified by the authors. Predictions are made for situations for which data were not used in training. These indicate sufficient accuracy when compared to the original field data. Accuracy of predictions is further improved when all the data are included in the training set. The finally trained ANN is shown to represent these data more accurately than the Burland and Burbidge equation. Based on the above heuristic example, an ANN is presented as an alternative to developing equations and design rules in geotechnical engineering practice. Significant advantages are shown to arise by using this methodology. Ease of updating the ANN, as and when additional data becomes available, being the most important one. Loss of transparency, however, seems to be the main disadvantage.

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A Development of Digital Curation System for Creativity and Personality Education (창의 인성 교육에 대한 디지털 큐레이션 시스템 개발)

  • Kim, Jung-In;Kim, Byung-Man;Kim, Jung-Ju
    • Journal of Korea Multimedia Society
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    • v.19 no.9
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    • pp.1710-1722
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    • 2016
  • With the advancement of information and communications technologies and the universal dissemination of smartphones, ICT-utilizing education is also getting the limelight. In the recent ICT-utilizing education, teachers and learners produce massive digital data by consulting massive information on the Internet, and the produced data is filtered in the process of education and utilized for the current and next educational programs. In order to construct the data well-suited for education from massive data available on the Internet, it is important to verify the quality of the educational data. To this end, we propose an educational website that can provide the data satisfying visual needs demanded by learners in terms of utilizing a digital curation system. In this paper, we also present a design and implementation of the website that non-ICT majors can easily use, which in turn enables them to conduct the education of creative personality utilizing image and video contents.

An Adaptive Fault Tolerant and QoS-Enabled Middleware Support in Distributed Systems (분산 시스템의 적응형 내결합성 및 QoS 미들웨어 지원)

  • Cagalaban, Giovanni A.;Kim, Seok-Soo
    • Proceedings of the KAIS Fall Conference
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    • 2009.12a
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    • pp.461-465
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    • 2009
  • Normally, a distributed computing environment is flexible in controlling complex embedded systems but their software components are becoming complex as these systems are equipped with several platforms and attached to various electronic devices, sensors, and actuators. These systems requires inter-object communication mechanisms to provide fault tolerant and QoS-enabled middleware service support in a distributed system. Generally, a middleware performs analysis of the parameters to ensure the availability and reliability of data dissemination. This paper focuses in particular to designing an application middleware for the specific scenario to improve the high availability and fault tolerance of data thus improving the QoS (Quality of Service) of a distributed system. The performance of an adaptive and highly reliable middleware can be significant based on the selection of vital parameters of the system.

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Analysis of the Online Review Based on the Theme Using the Hierarchical Attention Network (Hierarchical Attention Network를 활용한 주제에 따른 온라인 고객 리뷰 분석 모델)

  • Jang, In Ho;Park, Ki Yeon;Lee, Zoon Ky
    • Journal of Information Technology Services
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    • v.17 no.2
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    • pp.165-177
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    • 2018
  • Recently, online commerces are becoming more common due to factors such as mobile technology development and smart device dissemination, and online review has a big influence on potential buyer's purchase decision. This study presents a set of analytical methodologies for understanding the meaning of customer reviews of products in online transaction. Using techniques currently developed in deep learning are implemented Hierarchical Attention Network for analyze meaning in online reviews. By using these techniques, we could solve time consuming pre-data analysis time problem and multiple topic problems. To this end, this study analyzes customer reviews of laptops sold in domestic online shopping malls. Our result successfully demonstrates over 90% classification accuracy. Therefore, this study classified the unstructured text data in the semantic analysis and confirmed the practical application possibility of the review analysis process.

The Effects of Market Orientation of Apparel Firms and Salesperson's Job performance on the Job Satisfaction (의류업체의 시장지향성과 판매원의 직무능력이 판매원 만족에 미치는 영향)

  • 김혜정;최선형
    • Journal of the Korean Society of Clothing and Textiles
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    • v.27 no.1
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    • pp.1-8
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    • 2003
  • The purpose of this study is to examine the components of market orientation of apparel firms and to examine the influence of market orientation, and salesperson's job performance on the salesperson's job satisfaction. Data were obtained from 547 shop-masters working at L' Department Stores in Seoul and Bundang. Statistics used for data analysis were frequency, factor analysis, cronbach's and multiple regression analysis. The results can be summarized as follows: (1) The market orientation of apparel firms is composed of three factors: information generation, information dissemination, and the responsiveness to market information. (2) Market orientation was found to have a positive effect on salespeople's job satisfaction. (3) salespeople's job performance was found to have a positive effect on salespeople's job satisfaction.

A Study on Optimization Model for IoT and IoB based Optimal Medical Care (IoT(Internet of Things)와 IoB(Internet of Body) 기반 적정 의료를 위한 의료 최적화 모델 연구)

  • Park, Sunho;Kim, Young-kil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.551-554
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    • 2017
  • The largest industry in the world is the medical industry, and due to aging and growing demand for well-being, it is necessary to review the competition strategy of the healthcare industry. We will secure competitiveness among medical institutions through the rapid dissemination of ICT convergence, study the intelligence level of digital health care by increasing the capacity of intelligent medical care by combining big data of medical data and artificial intelligence, And to find a countermeasure for constructing a medical optimization model.

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A Design for a Zigbee Security System in the Customer Side Environment of Jeju Smart Grid Field Test (제주 스마트그리드 실증단지 수용가 환경에서 Zigbee 보안 체계 설계)

  • Lee, Myung-Hoon;Son, Sung-Yong
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.8
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    • pp.1186-1192
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    • 2012
  • In Jeju Smart Grid field test, Zigbee technology is being used as one of customer side solutions for AMI. Although Zigbee networks that provides effective connectivity and control among devices are advantages in ease of implementation and use, the data can be exposed to cyber attacks such as eavesdrop, unauthorized data dissemination and forgery. Currently authentication and confidentiality services are provided with the network and link keys generated based on public key pairs that are pre-installed in offline. However, the network is vulnerable once a hacker intrudes into a local network because operation and management policies for the generated keys are not well-established yet. In this paper, the vulnerability of the Zigbee security system in the customer side environment of Jeju Smart Grid field test is analyzed. Then, two-way authentication with the unique identifiers of devices and user-specific group management policies are proposed to resolve the vulnerability.