• Title/Summary/Keyword: big data service platform

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An Analysis of Policy and Technology Status of Smart City for Revitalization of Smart City Industry (스마트도시 산업 활성화를 위한 스마트도시 정책 및 기술현황 분석에 관한 연구)

  • Kim, Dae Ill;Park, Sung Chan;Yeom, Chun Ho
    • Journal of Information Technology Services
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    • v.21 no.1
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    • pp.127-144
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    • 2022
  • Recently, Korea is promoting cooperation with various countries, centering on ASEAN countries, with the aim of exporting Korean smart cities for the globalization of smart cities. The purpose of this study is to select excellent smart city technologies through analysis of smart city technologies owned by domestic companies and company status, and to prepare a plan for revitalization of companies with smart city technologies. Through prior research, the implications were derived through research on the existing smart city. Next, established a smart city policy analysis and smart city technology classification criteria through Korea and Overseas smart city policy and Korea smart city technology status DB. And the big data of smart city technology possessed by Korea companies and a plan for selecting a smart city export technology was prepared through analysis by region and company. As a result, to activate the technology possessed by Korea companies and to export overseas, it seems to need financial support and tax incentives that secure a pathway to export specialized smart technologies of SMEs, along with citizen participation and institutional supplementation. The smart city technology fields with the highest utilization in Korea were traffic, green energy, e-government, crime prevention, and construction, and the service types were platform, IoT, AI, big data, and GIS/GPS. These technologies are expected to contribute to building a platform for overseas smart city technology exports.

An analysis of OTT operator competitiveness via OTT platform business model development (OTT 플랫폼 비즈니스 모델 개발을 통한 OTT 사업자 경쟁력 분석)

  • Kim, So-Hyun;Leem, Choon-Seong
    • Journal of Digital Convergence
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    • v.19 no.10
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    • pp.303-317
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    • 2021
  • The purpose of this study is to analyze the competitiveness of OTT operators by developing an analysis framework specialized for the OTT industry. Based on existing research on business model, platform business model, and OTT characteristics, the OTT platform business model framework was developed, and case analysis was conducted based on data from related materials, literature, and internal data to suggest the direction for domestic OTT operators. As a result of the study, domestic OTT operators should use advanced AI and big data technologies to produce original content and improve the infrastructure and service quality of the platform. This study is meaningful in that it provides an analysis framework for OTT operators to establish their own competitive strategies and suggests the direction for domestic OTT operators through case application.

Blockchain Technology and Application

  • Lee, Sae Bom;Park, Arum;Song, Jaemin
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.2
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    • pp.89-97
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    • 2021
  • Blockchain is designed to collect and store the data recorded on the network in one block unit, and is connected and stored back and forth, and its form is similar to how the blocks are connected, so it is called a blockchain. Many companies are trying to popularize blockchain-based services at home and abroad, and blockchains are used in various industries. This study introduces the technical characteristics of the blockchain and deals with application services utilizing the blockchain. Introducing 5 types of blockchain architecture and core technologies and introducing blockchain application services that are used in payment services, blockchain service networks, blockchain real estate platforms, identity verification, cryptocurrency, diamond distribution path tracking, and blog information recording. do. It is expected to increase the understanding of the blockchain and provide usefulness in future blockchain research and service development.

Application of AI based Chatbot Technology in the Industry

  • Park, Arum;Lee, Sae Bom;Song, Jaemin
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.7
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    • pp.17-25
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    • 2020
  • Based on the successful use of chatbot technology, this study examined what business values each company is creating. The chatbot service contributes to improving the productivity of the company by helping to answer or respond to the questions of employees inside the company or customers. And in the field of education, Instead of instructor, AI technology responds the questions and feedback of the students to reduce the work of the instructor. In the field of commerce, offline stores provide convenient and new purchasing experiences to customers by providing product purchasing services through artificial intelligence speakers and personalization service. Although chatbot service is creating business value in some business cases, it is still limited to the process of a specific company, and the spread rate is still slowing because the service scope, convenience, and usefulness are not greater than expected. Therefore, some chatbot development service providers is providing an integrated development platform to improve usability, Chatbots have the features and advantages of providing convenience instead of answering human questions. However, there is a disadvantage that the level of communication can be lowered by reducing various human subjective views and giving mainly objective answers. Through this study, we will discuss the characteristics, advantages and disadvantages of chatbot services by comparing them.

IoT Based Real-Time Indoor Air Quality Monitoring Platform for a Ventilation System (청정환기장치 최적제어를 위한 IoT 기반 실시간 공기질 모니터링 플랫폼 구현)

  • Uprety, Sudan Prasad;Kim, Yoosin
    • Journal of Internet Computing and Services
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    • v.21 no.6
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    • pp.95-104
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    • 2020
  • In this paper, we propose the real time indoor air quality monitoring and controlling platform on cloud using IoT sensor data such as PM10, PM2.5, CO2, VOCs, temperature, and humidity which has direct or indirect impact to indoor air quality. The system is connected to air ventilator to manage and optimize the indoor air quality. The proposed system has three main parts; First, IoT data collection service to measure, and collect indoor air quality in real time from IoT sensor network, Second, Big data processing pipeline to process and store the collected data on cloud platform and Finally, Big data analysis and visualization service to give real time insight of indoor air quality on mobile and web application. For the implication of the proposed system, IoT sensor kits are installed on three different public day care center where the indoor pollution can cause serious impact to the health and education of growing kids. Analyzed results are visualized on mobile and web application. The impact of ventilation system to indoor air quality is tested statistically and the result shows the proper optimization of indoor air quality.

A Study on the Security Threat Response in Smart Integrated Platforms (스마트 통합플랫폼 보안위협과 대응방안 연구)

  • Seung Jae Yoo
    • Convergence Security Journal
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    • v.22 no.1
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    • pp.129-134
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    • 2022
  • A smart platform is defined as an evolved platform that realizes physical and virtual space into a hyper-connected environment by combining the existing platform and advanced IT technology. The hyper-connection that is the connection between information and information, infrastructure and infrastructure, infrastructure and information, or space and service, enables the realization and provision of high-quality services that significantly change the quality of life and environment of users. In addition, it is providing everyone with the effect of significantly improving the social safety net and personal health management level by implementing smart government and smart healthcare. A lot of information produced and consumed in these processes can act as a factor threatening the basic rights of the public and individuals by the informations themselves or through big data analysis. In particular, as the smart platform as a core function that forms the ecosystem of a smart city is naturally and continuously expanded, it faces a huge security burden in data processing and network operation. In this paper, platform components as core functions of smart city and appropriate security threats and countermeasures are studied.

Dynamic Load Management Method for Spatial Data Stream Processing on MapReduce Online Frameworks (맵리듀스 온라인 프레임워크에서 공간 데이터 스트림 처리를 위한 동적 부하 관리 기법)

  • Jeong, Weonil
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.8
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    • pp.535-544
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    • 2018
  • As the spread of mobile devices equipped with various sensors and high-quality wireless network communications functionsexpands, the amount of spatio-temporal data generated from mobile devices in various service fields is rapidly increasing. In conventional research into processing a large amount of real-time spatio-temporal streams, it is very difficult to apply a Hadoop-based spatial big data system, designed to be a batch processing platform, to a real-time service for spatio-temporal data streams. This paper extends the MapReduce online framework to support real-time query processing for continuous-input, spatio-temporal data streams, and proposes a load management method to distribute overloads for efficient query processing. The proposed scheme shows a dynamic load balancing method for the nodes based on the inflow rate and the load factor of the input data based on the space partition. Experiments show that it is possible to support efficient query processing by distributing the spatial data stream in the corresponding area to the shared resources when load management in a specific area is required.

Reference Model for the Service of Smart City Platform through Case Study (사례 연구를 통한 스마트 시티 플랫폼의 서비스를 위한 참조 모델)

  • Kim, Young Soo;Mun, Hyung-Jin
    • Journal of Digital Convergence
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    • v.19 no.8
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    • pp.241-247
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    • 2021
  • As a way to solve the side effects of urban development, a smart city with information and communication technology converges in the city is being built. For this, a smart city platform should support the development and integration of smart city services. Therefore, the underlying technology and the functional and non-functional requirements that the smart platform must support were analyzed. As a result of this, we classified the Internet of Things, cloud computing, big data and cyber-physical systems into four categories as the underlying technologies supported by the smart city platform, and derived the functional and non-functional requirements that can be implemented and the reference model of the smart city platform. The reference model of the smart city platform is used for decision-making on investment in infrastructure technology and the development scope of services according to functional or non-functional requirements to solve specific city problems for city managers. It provides platform developers with guidelines to identify and determine the functional and non-functional requirements and implementation technologies of software platforms for building smart cities.

Education Content Service Platform Using the Near Field Communication based on IoT (IoT 기반의 근거리 통신 기술을 활용한 교육콘텐츠 서비스 플랫폼)

  • Ryu, Chang-su
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.690-692
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    • 2014
  • Conventional one-way cramming education at schools has the disadvantage of poor student interest in learning, immersion, and learning efficiency as well as a limitation in realizing collective intelligence and collaborative learning. Therefore, an educational content service platform using a near-field communication(NFC) technology is required as a tool for encouraging the voluntary learning participation of students and increasing learning effectiveness through self-directed studying. This study focuses on the development of an educational content production system that creates high-quality education contents suitable for smart schools. In these schools, students and teachers generally communicate through an electronic blackboard using Bluetooth, which is an NFC technology. Further, the lecture notes of individual students are reproduced and collected as big data, which will facilitate the sharing of these notes.

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Evolution of Business Model: From Plug To Platform - Dawon DNS Business Case- (비즈니스 모델의 진화: 플러그에서 플랫폼으로 -다원 DNS IoT 기술의 사례-)

  • Park, MinHyuk;Yeo, Unnam;Lee, Jungwoo
    • Journal of Information Technology Services
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    • v.20 no.5
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    • pp.105-118
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    • 2021
  • As we enter the era of the 4th industrial revolution, information and communication technologies, including artificial intelligence and big data, are converging throughout society. Especially, as the importance of the social foundation of hyper-connection grows, the social influence of IoT, a network of connecting objects, people, and various entities, is also gradually expanding. In addition, as a pandemic, COVID-19, continues, interests in untact-oriented technology and service development are growing more than ever, and each company is trying to establish a core competency strategy to gain an edge in competition in the changing society. This study is a case study centered on Dawon DNS, a company that provides an IoT-based AI smart plug platform. Dawon DNS is broadening its services while developing products by applying advanced technologies, and this study is aiming to investigate the core competencies of the business evolution process. The obtained result of this study will provide implications for companies to become more competitive by suggesting the attitudes and strategies that startups should have during the transforming business environment.