• Title/Summary/Keyword: IoT Framework

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Development of Sensor Based Energy Management System (센서기반 에너지 모니터링 프로토타입 시스템)

  • Um, Dae-Jin;Choi, Jung-In;Lee, Ingyu
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.28 no.10
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    • pp.69-74
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    • 2014
  • With the increasing interest of energy efficiency, several buildings and factories begin to monitor energy usages with a built-in energy management system. However, the built-in energy monitoring system does not reflect the dynamics of buildings and factories energy usage. To overcome the latter, we deploy several sensors to monitor the dynamics of buildings energy usage patterns. In this paper, we are proposing a framework of a sensor based energy monitoring system. Based on our limited experiments, we can monitor power usages by a person, device and time period. As a result, we can plan a better energy usage and improve energy efficiency by the monitored energy usage profile data.

Suggestion to Improve Power Efficiency by Changing Sleep-Wakeup Period in Wireless Network Environment for Internet of things

  • Woo, Eun-Ju;Moon, Yu-Sung;Choi, Jae-Hyun;Kim, Jae-Hoon;Kim, Jung-Won
    • Journal of IKEEE
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    • v.22 no.3
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    • pp.862-865
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    • 2018
  • The proposed scheme minimizes the Idle time under the residual energy of the sensor node to adjust the Sleep-Wakeup period and minimize unnecessary energy consumption. It is The proposed scheme minimizes the Idle time under the residual energy of the sensor node to adjust the Sleep-Wakeup period and minimize unnecessary energy consumption. It is an important process to control the Application Packet Framework including the PHY and the MAC layer at each node's Idle time with the Idle time mechanism state before the proposed function is executed. The Current Control Level of the Report Attribute is fixed at one sending / receiving node where power consumption can occur, by changing Sleep-Wakeup time, the low power consumption efficiency was improved while satisfying the transmission requirement of the given delay time constraint.

A Self-Adaptive Attribute-Based Access Control Framework for Interoperability between IoT Platforms (사물인터넷 플랫폼 간 상호운용성을 위한 자가적응형 속성기반 접근제어 프레임워크)

  • Ji-Hoon Park;Giluk Kang;Young-Gab Kim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.92-94
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    • 2023
  • 사물인터넷이 발전함에 따라 사용자에게 여러 서비스를 제공하기 위한 사물인터넷 플랫폼이 활발하게 개발되고 있다. 그러나 각각의 플랫폼은 독자적인 환경에서 개발되고 있어 상호운용성에 어려움이 있다. 특히, 이기종 사물인터넷 플랫폼이 리소스 보호를 위해 동일한 속성기반 접근제어를 사용하더라도 속성을 표현하는 표현법이 상이하여 유효한 속성을 소유하고 있음에도 타 플랫폼의 리소스에 접근할 수 없는 문제가 있다. 이에, 본 논문에서는 속성기반 접근제어를 활용하는 이기종 사물인터넷플랫폼 간의 서로 다른 속성 표현법을 이해하여 상호운용할 수 있는 프레임워크를 제안한다. 본 프레임워크는 자가적응 모듈을 통해 동일한 속성이더라도 표현법의 차이로 발생하는 상호운용의 문제를 해결하여 이기종 플랫폼 간의 리소스 접근이 가능하도록 한다.

A Software Defined Networking Approach to Improve the Energy Efficiency of Mobile Wireless Sensor Networks

  • Aparicio, Joaquin;Echevarria, Juan Jose;Legarda, Jon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.6
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    • pp.2848-2869
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    • 2017
  • Mobile Wireless Sensor Networks (MWSN) are usually constrained in energy supply, which makes energy efficiency a key factor to extend the network lifetime. The management of the network topology has been widely used as a mechanism to enhance the lifetime of wireless sensor networks (WSN), and this work presents an alternative to this. Software Defined Networking (SDN) is a well-known technology in data center applications that separates the data and control planes during the network management. This paper proposes a solution based on SDN that optimizes the energy use in MWSN. The network intelligence is placed in a controller that can be accessed through different controller gateways within a MWSN. This network intelligence runs a Topology Control (TC) mechanism to build a backbone of coordinator nodes. Therefore, nodes only need to perform forwarding tasks, they reduce message retransmissions and CPU usage. This results in an improvement of the network lifetime. The performance of the proposed solution is evaluated and compared with a distributed approach using the OMNeT++ simulation framework. Results show that the network lifetime increases when 2 or more controller gateways are used.

Study into prosodic morphological analysis in Korean and Standard Chinese partial reduplication and contrastive analysis using optimality theory (한국어와 표준 중국어 부분 중첩 의성·의태어에 대한 운율 형태론적 분석의 문제와 최적성 이론적 분석을 통한 대조 분석)

  • Chang, Jae-Woong
    • Cross-Cultural Studies
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    • v.49
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    • pp.275-301
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    • 2017
  • Based on the previous analysis by Wanghongjun(2008), this paper applies Optimality Theory (OT) to the field of partial reduplication in Korea to increase its scientific validity. Toward this end, I propose an alternative analysis of Korean partial reduplication, applied as a single process of prefixation. Reduplicated words by prefixation are divided into two types: with a heavy syllable of the stem, and another with the stem. The two types of partial reduplication are closely related by the sound features. In addition, I discussed Chinese partial reduplication from a prefixation perspective within the framework of OT and performed contrastive analysis of Korean and Standard Chinese processes of reduplication by focusing on constrained rankings. As a result, the alternative analysis showed a systematic relationship among the reduplicated words in Korean and Standard Chinese. Lastly, I explained that the coronal /t/ and liquid /l/ have a special functional hierarchy in both languages. This study can be re-explained based on the framework of OT according to a few major constraints, involving MAX-BR, MAX-IO. Their rankings show the adequacy of analysis.

Development and Application of Private-focused Digital Public Service Evaluation Framework: Focused on AHP Analysis (민간 중심 디지털 공공 서비스 적합성 평가 프레임워크 개발 및 시범 적용 연구: AHP를 중심으로)

  • Sangjun Lee;DaeChul Lee
    • Journal of Information Technology Services
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    • v.22 no.2
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    • pp.71-92
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    • 2023
  • Globally, under the leadership of advanced ICT countries, the private sector is promoting various policies to promote the digital transformation of public services. Looking at the research trend, design of public service indicators, development of evaluation system, and empirical research are being carried out steadily, but there are insufficient research cases on models in which the private sector participates in the planning, development, and operation of public services. In this study, Private-centric digital public service suitability evaluation indicators were discovered through interviews with experts in various fields, and weights for each indicator were analyzed through AHP evaluation. In addition, by applying the analysis results to 18 digital public services on a trial basis, the importance and priority of evaluation indicators for each service were derived, and at the same time, the evaluation framework was designed and applied to diagnose implications. As a result of the study, 'social utility', 'corporate acceptability', and 'public acceptability' were selected as the top three indicators of suitability evaluation. At this time, it was analyzed that the weight of the 'company acceptability' index, which includes sub-indices such as 'service profitability', 'service scalability', and 'private initiative possibility', was the highest among the three top indicators. As a result of the demonstration for public services, "IoT facility unmanned remote monitoring service", "blockchain real estate transaction service", and "digital twin disaster prediction service" were evaluated as the most suitable public services for the transition to the private sector.

Development of a Framework for Improvement of Sensor Data Quality from Weather Buoys (해양기상부표의 센서 데이터 품질 향상을 위한 프레임워크 개발)

  • Ju-Yong Lee;Jae-Young Lee;Jiwoo Lee;Sangmun Shin;Jun-hyuk Jang;Jun-Hee Han
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.3
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    • pp.186-197
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    • 2023
  • In this study, we focus on the improvement of data quality transmitted from a weather buoy that guides a route of ships. The buoy has an Internet-of-Thing (IoT) including sensors to collect meteorological data and the buoy's status, and it also has a wireless communication device to send them to the central database in a ground control center and ships nearby. The time interval of data collected by the sensor is irregular, and fault data is often detected. Therefore, this study provides a framework to improve data quality using machine learning models. The normal data pattern is trained by machine learning models, and the trained models detect the fault data from the collected data set of the sensor and adjust them. For determining fault data, interquartile range (IQR) removes the value outside the outlier, and an NGBoost algorithm removes the data above the upper bound and below the lower bound. The removed data is interpolated using NGBoost or long-short term memory (LSTM) algorithm. The performance of the suggested process is evaluated by actual weather buoy data from Korea to improve the quality of 'AIR_TEMPERATURE' data by using other data from the same buoy. The performance of our proposed framework has been validated through computational experiments based on real-world data, confirming its suitability for practical applications in real-world scenarios.

Do Innovation and Relative Advantage Affect the Actual Use of FinTech Services?: An Empirical Study using Classical Attitude Theory (핀테크 서비스의 혁신성과 상대적 장점은 실질이용에 영향을 미칠까?: 고전적 태도이론을 이용한 실증 연구)

  • Se Hun Lim
    • Information Systems Review
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    • v.21 no.3
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    • pp.87-110
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    • 2019
  • The Fintech services provide innovation to financial services users using various mobile devices and computers in wired and wireless communication environments. In this study, we develope a theoretical research framework to explain the psychology of Fintech services users based on a cognitive, affective, and conative framework. Using this framework, this study analyzes the relationships between the cognitive characteristics (i.e., innovation, relative advantage, ease of use, and usefulness), emotional characteristic (i.e., attitude), and behavioral characteristic (i.e., actual use) toward Fintech services users. This study conducted an online survey of people who have experienced using Fintech services. And the data of the collected Fintech services users was analyzed using structural equation model software (i.e., SMART PLS 2.0 M3). The results of the empirical analysis show the relationships between innovation, relative advantage, perceived usefulness, perceived ease of use, attitude, and actual use of Fintech service users. The results of this study provide useful information to improve the practical use of Fintech services users in the Internet of Things (IoT) environment.

Proposal of Network Security Solution based on Software Definition Perimeter for Secure Cloud Environment (안전한 클라우드 환경을 위한 소프트웨어 정의 경계 기반의 네트워크 보안 솔루션 제안)

  • Cha, Wuk-Jae;Shin, Jae-In;Lee, Dong-Bum;Kim, Hyeob;Lee, Dae-Hyo
    • Journal of the Korea Convergence Society
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    • v.9 no.12
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    • pp.61-68
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    • 2018
  • As the smartphone and mobile environment develop, the time and space constraints for individual work performance are disappearing. Companies can reduce costs and expand their business quickly through cloud computing. As the use of various cloud expands, the boundaries of users, data, and applications are disappearing. Traditional security approaches based on boundaries (Perimeter) are losing their utility in the cloud environment. This paper describes the limitations of existing network access control (NAC) in a cloud environment and suggests network security technology that complements it. The study explains the SDP and combines SDP(Software Defined Perimeter) to overcome the limitations of NAC, while at the same time explaining its role as a new framework for supporting the cloud environment. The new framework proposed in this paper suggests a software-based network security solution that supports physical and software parts, providing identity-based access control, encrypted segment management, and dynamic policy management, not IP-based.

Multimedia Information and Authoring for Personalized Media Networks

  • Choi, Insook;Bargar, Robin
    • Journal of Multimedia Information System
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    • v.4 no.3
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    • pp.123-144
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    • 2017
  • Personalized media includes user-targeted and user-generated content (UGC) exchanged through social media and interactive applications. The increased consumption of UGC presents challenges and opportunities to multimedia information systems. We work towards modeling a deep structure for content networks. To gain insights, a hybrid practice with Media Framework (MF) is presented for network creation of personalized media, which leverages the authoring methodology with user-generated semantics. The system's vertical integration allows users to audition their personalized media networks in the context of a global system network. A navigation scheme with dynamic GUI shifts the interaction paradigm for content query and sharing. MF adopts a multimodal architecture anticipating emerging use cases and genres. To model diversification of platforms, information processing is robust across multiple technology configurations. Physical and virtual networks are integrated with distributed services and transactions, IoT, and semantic networks representing media content. MF applies spatiotemporal and semantic signal processing to differentiate action responsiveness and information responsiveness. The extension of multimedia information processing into authoring enables generating interactive and impermanent media on computationally enabled devices. The outcome of this integrated approach with presented methodologies demonstrates a paradigmatic shift of the concept of UGC as personalized media network, which is dynamical and evolvable.