• Title/Summary/Keyword: IoT product

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A Study on the Necessity and Construction Plan of the Internet of Things Platform for Smart Agriculture (스마트 농업 확산을 위한 IoT기반 개방형 플랫폼의 필요성 및 구축 방안 연구)

  • Lee, Joonyoung;Kim, ShinHo;Lee, SaeBom;Choi, HyeonJin;Jung, JaiJin
    • Journal of Korea Multimedia Society
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    • v.17 no.11
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    • pp.1313-1324
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    • 2014
  • Korea has high quality level of ICT Technologies, however it still have a long way to go before invigoration of ICT in agriculture industry. The government of Korea supply to agriculture ICT systems, however these are the enclosed type and insufficient the level of connectivity, compatibility, and integrity between ICT systems. Farmers can not share crop information and one system can not use with others in combination. Recently, IoT(Internet of Things) become popular to emphasize the vision of a global internet and ICT industry. The IoT is a critical technology that leads future internet generation. We believe that IoT will change status of agriculture industry and appearance of various agriculture business model. Using IoT technology is provided a platform of opportunities to optimize work processes and efficient use of energy, time and labour in farm. It can automatically control temperature, humidity, sunshine system and so on for optimal growth conditions at greenhouse and plant factory. Growth setting can even be controlled and monitored crop condition and disease by a smartphone app or PC. It is possible to improve quality of farming and farm product. We suggest that construction of IoT platform through open API in agriculture industry.

A Survey on Blockchain Platforms for Supply Chain Management (공급망을 위한 블록체인 플랫폼 조사연구)

  • Jang, Jihyun;Song, Seounghan;Kim, Suntae
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.5
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    • pp.259-265
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    • 2018
  • As the supply method of products has become diverse and complex, problems such as manipulation of origin and product trace have occurred in the existing supply chain system. In order to deal with these issues, various Blockchain based studies have been actively carried in the SW industry and academy. However, there is a lack of comprehensive survey research on the applied Blockchain techniques, so that it hardly understand the pros and cons of the technologies. In this study, we intensively investigated the diverse studies from the Industrial and academic area based on the several criteria such as the goals, use of key Blockchain technologies, and IoT technologies.

Blockchain Framework for Occupant-centered Indoor Environment Control Using IoT Sensors

  • Jeoung, Jaewon;Hong, Taehoon;Jung, Seunghoon;Kang, Hyuna;Kim, Hakpyeong;Kong, Minjin;Choi, Jinwoo
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.385-392
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    • 2022
  • As energy-saving techniques based on human behavior patterns have recently become an issue, the occupant-centered control system is adopted for estimating personal preference of indoor environment and optimizing environmental comfort and energy consumption. Accordingly, IoT devices have been used to collect indoor environmental quality (IEQ) data and personal data. However, the need to safely collect and manage data has been emerged due to cybersecurity issues. Therefore, this paper aims to present a framework that can safely transmit occupant-centered data collected from IoT to a private blockchain server using Hyperledger fabric. In the case study, the minimum value product of the mobile application and smartwatch application was developed to evaluate the usability of the proposed blockchain-based occupant-centered data collection framework. The results showed that the proposed framework could collect data safely and hassle-free in the daily life of occupants. In addition, the performance of the blockchain server was evaluated in terms of latency and throughput when ten people in a single office participated in the proposed data collection framework. Future works will further apply the proposed data collection framework to the building management system to automatically collect occupant data and be used in the HVAC system to reduce building energy consumption without security issues.

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A Study on Introduction of IoT Infrastructure based on BSC and AHP: Focusing on Electronic Shelf Label (BSC와 AHP를 활용한 IoT 인프라 도입 의사결정에 관한 연구: 전자가격라벨(ESL)을 중심으로)

  • Yang, Jae Yong;Lee, Sang Ryul
    • The Journal of Society for e-Business Studies
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    • v.22 no.3
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    • pp.57-74
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    • 2017
  • The Electronic Shelf Label (ESL) is an alternative to the paper price label attached to merchandise shelves and is attracting attention as a retail IoT infrastructure that will lead the innovation of offline retail outlets. In general, when introducing a substitute product, the company tends to consider the financial factors such as the efficiency of the investment cost compared to the existing product or the reduction of the operating cost. However, considering only financial factors in the decision-making process, it may not properly reflect the various values associated with corporate strategy and the requirements of stakeholders. In this study, 8 evaluation items (Investment Cost, Operating Cost, Quality Level, Customer Management, Job Efficiency, Maintenance, Functional Expandability, and Store Image) based on BSC's 4 perspectives (Financial, Customer, Internal Business Process, Learning & Growth), and using AHP (Analytic Hierarchy Process) to measure the priorities of evaluation items for domestic small supermarket employees. As a result of the research, priority was given in order of Customer, Learning & Growth, Internal Business Process, and Financial aspects among the evaluation items for adopting the price label, and the electronic price label was supported with higher importance than the paper price label. In contrast to the priorities of the financial aspects of most prior studies, the items of Learning & growth and customer perspectives have relatively high priorities. In particular, respondents classified by job group, The priorities of the 8 evaluation items were different among the groups. These results are expected to provide implications for both companies (retail outlets) and ESL providers (manufacturers and service providers) who are considering the introduction of ESL.

The Design of IoT-based Drive Through Service System for Customers in Distribution Stores (대형 유통매장의 고객을 위한 IoT기반 드라이브 스루 서비스 시스템 설계)

  • Min, So-Yeon;Lee, Jong-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.11
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    • pp.151-157
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    • 2017
  • Recently, the retail industry has created efficient store operations, and has differentiated customer service through the future store. The intelligence of these stores is being applied by using technologies such as the Internet of Things (IoT), and the business process is being improved through this. The process also focuses on efficient store operations and service developments to provide customers with shopping convenience. The change in trends in the industry means that domestic distribution has already reached maturity. Even in countries where retail industries are mature, such as the U.S. and Europe, recent trends are moving toward maximizing operational efficiency and customer service. The reason is that many retailers have already reached saturation and survived the competition. This paper is a study of a drive-through service for automation and efficiency in receiving service after ordering by a customer of the distribution store. When ordering a product being purchased by a customer, the product picking process is done in a timely fashion through a picking scheduling agent. When the customer enters the store parking lot, a service supports the entry of information and finding a parking place so the customer can quickly pick up the goods. The proposed service can be applied to a retail store drive-through system, the distribution store's delivery system, the digital picking system, and indoor/outdoor large parking management systems, and it is possible to provide one-dimensional customer service through the application of IoT technology.

Developing Evaluation Indicators for Selecting Suppliers based on IoT Business Model in Servitization Using Delphi Method (델파이 기법을 사용한 사물인터넷 비즈니스 모델 기반의 서비타이제이션 협력업체 선정 평가지표 개발)

  • Yang, Jae-Yong;Lee, Sang-Ryul
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.42 no.1
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    • pp.21-32
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    • 2019
  • The flow of the $4^{th}$ Industrial Revolution calls for the innovation of the traditional business models of the manufacturers. Servitization is a corporate strategy to respond to changes in the business environment. These days, the value that the market demands can be created on the basis of the product-service integration. Thus the manufacturers must pursue the fundamental innovation of the current strategy and business models. It is necessary to create common values with customers through providing product-service integrated offerings beyond the development, production, and delivery. The purpose of this study is to develop the evaluation indicators for selecting suppliers when the manufacturer who offers the value of product-service integration needs to obtain the resources from outside. The case company in this study is the manufacture firm conducting the retail IoT business as a new business. The Delphi method is used to develop the evaluation indicators for selecting suppliers. This study suggests the academic implications providing the perspective of Servitizaiton by using Delphi method, and the practical implications applying the creating value method of Servitization by collecting the opinions from both value providers and value consumers in the process of developing the evaluation indicators.

A Smart Refrigerator System based on Internet of Things (IoT 기반 스마트 냉장고 시스템)

  • Kim, Hanjin;Lee, Seunggi;Kim, Won-Tae
    • Journal of IKEEE
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    • v.22 no.1
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    • pp.156-161
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    • 2018
  • Recently, as the population rapidly increases, food shortages and waste are emerging serious problem. In order to solve this problem, various countries and enterprises are trying research and product development such as a study of consumers' purchasing patterns of food and a development of smart refrigerator using IoT technology. However, the smart refrigerators which currently sold have high price issue and another waste due to malfunction and breakage by complicated configurations. In this paper, we proposed a low-cost smart refrigerator system based on IoT for solving the problem and efficient management of ingredients. The system recognizes and registers ingredients through QR code, image recognition, and speech recognition, and can provide various services of the smart refrigerator. In order to improve an accuracy of image recognition, we used a model using a deep learning algorithm and proved that it is possible to register ingredients accurately.

Design of IoT System for 3D PRINTER Multi-Management (3D 프린터 다중 관리를 위한 IoT 시스템 설계)

  • Jang, Dae-Sung;Lee, Hyo-Seung;Oh, Jae-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.4
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    • pp.759-764
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    • 2020
  • As the paradigm of manufacturing and production is also changing in line with the fourth industrial revolution, the social demands and directions for Industry 4.0 cannot be reversed, and the scalability and universality of 3D printing technology are attracting attention. 3D printer is a technology developed for the purpose of reducing product development costs, and with the recent expiration of 3D printer technology patent, related technology has been revealed and various technologies applied are being researched and developed, and various singularities have been discovered and supplemented. Thus, to compensate for the inconvenience of the current output method, which requires direct offline adjustment of the machine in the use of 3D printers and 3D printing through direct input of modeling data, the design of the IoT system is proposed to perform real-time online output requests for multiple 3D printers, monitoring functions that can expect normal outputs, and online real-time remote management functions for multiple 3D printers.

An Explorative Study on the Features of Activity Trackers as IoT based Wearable Devices (사물인터넷 기반 웨어러블 디바이스인 활동량측정기의 특성에 대한 탐색연구)

  • Hong, Suk-Ki
    • Journal of Internet Computing and Services
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    • v.16 no.5
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    • pp.93-98
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    • 2015
  • IoT (Internet of Things) is recently burgeoning as business applications as well as ICT itself. Among the business applications of IoT, wearable devices are recognized as a leading area of customer devices. This research first identifies customer needs of activity trackers (fitness trackers), as one of representative wearable devices, and mapping the identified needs with the well-known marketing model of marketing mix (4 P's: Product, Price, Promotion, and Place). Survey was applied to university students for identifying current and potential needs for activity trackers. The needs were classified by 4 P's, and according to the results, different from other IT devices, activity trackers has more potential needs. Moreover, reliable distribution channels, offline and company owned shops were preferred, rather than online shopping mall by third parties. The results would provide some valuable implications to not only designers of activity trackers but also business management.

A Study on the Machine Learning Model for Product Faulty Prediction in Internet of Things Environment (사물인터넷 환경에서 제품 불량 예측을 위한 기계 학습 모델에 관한 연구)

  • Ku, Jin-Hee
    • Journal of Convergence for Information Technology
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    • v.7 no.1
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    • pp.55-60
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    • 2017
  • In order to provide intelligent services without human intervention in the Internet of Things environment, it is necessary to analyze the big data generated by the IoT device and learn the normal pattern, and to predict the abnormal symptoms such as faulty or malfunction based on the learned normal pattern. The purpose of this study is to implement a machine learning model that can predict product failure by analyzing big data generated in various devices of product process. The machine learning model uses the big data analysis tool R because it needs to analyze based on existing data with a large volume. The data collected in the product process include the information about product faulty, so supervised learning model is used. As a result of the study, I classify the variables and variable conditions affecting the product failure, and proposed a prediction model for the product failure based on the decision tree. In addition, the predictive power of the model was significantly higher in the conformity and performance evaluation analysis of the model using the ROC curve.