• Title/Summary/Keyword: BigData Platform

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Smart Tourism Development in Small and Medium Cities: The Case of Macao

  • Qi, Shanshan
    • Journal of Smart Tourism
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    • v.1 no.2
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    • pp.27-36
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    • 2021
  • As a popular concept, smart tourism is widely used as a strategic tool to improve the competitiveness of world tourism destinations. Taking Macao as a case study, this research explores the relationship between government, academic research, and smart destination applications, with a view toward investigating the utilization of smart technology to achieve service innovation, effective communication with tourists, and enhance the travel experience. The study summarizes the current situation of smart tourism in Macao, finding that most of the smart services in Macao rely on users to obtain information spontaneously and do not achieve real interaction and service demand. Suggestions and advice for smart development are provided.

A Study on the Architecture Design of Smart Farm System based on IoT Technology (IoT 기반의 스마트 팜 시스템 구조설계에 관한 연구)

  • Ghil, Min-Sik;Kwak, Dong-Kurl;Choi, Shin-Hyeong;Shin, Jong-Keun
    • Proceedings of the KIPE Conference
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    • 2019.07a
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    • pp.543-545
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    • 2019
  • Recently, the demand for smart farms is increasing due to the increase in the cultivation area such as horticulture, fruit trees and special crops. However, due to the irregular weather changes and the cultivation method of the crops due to the different cultivation environment, there are frequent occurrence of diseases and insect pests and infectious diseases due to system error or carelessness, and the cycle is also very short. In addition, the Smart Farm business has been built by combining various sensors (temperature, humidity, CO2, illumination) and LED lighting, but it is costly in terms of frequent errors, lack of power supply, And thus the management can not be efficiently managed. Therefore, this paper combines real time sensing technology based on IoT Platform and high performance control technology to control pests and equipment errors and monitor the growth status of crops in real time based on big data analysis and Artificial Intelligence System.

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Analysis of Trends in the IEEE 802.11 Family Amendments (IEEE 802.11 개정 트랜드 분석)

  • Kang, Young-myoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.11
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    • pp.1554-1557
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    • 2020
  • Looking at the direction of the recent amendments of 802.11 family, there are two major trends. One is to enable the wireless transceivers to support the extremely high-speed wireless transmissions, which has been the mainstream so far. Another big trend is providing a high-performance wireless application platform that meets the demands of the market. This paper summarizes the brand-new IEEE 802.11 amendments from 11ax to 11bf under development by analyzing the innovative features and use cases on them. We provide the vision and direction for the research on the revolutionary data-hungry Wi-Fi 6 and the IEEE 802.11be, alias Wi-Fi 7.

A Study on the Factors Affecting the Intention to Use the Integrated Farming and Returning Village Platform Based on Big Data (빅데이터기반 귀농·귀촌 통합플랫폼 사용의도에 영향을 미치는 요인에 관한 연구)

  • Lee, Won Suk;Jang, Sang-hyun;Ha, Seung-Jae;Shin, Yongtae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.249-252
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    • 2021
  • 한국 농업·농촌의 고령화 현상과 농업인구의 감소가 점차 심화됨에 따라 귀농·귀촌을 통한 인구 유입이 절실한 상황이다. 이를 위해서 귀농·귀촌 희망자가 의사결정 시에 도움을 받을 수 있는 귀농·귀촌 통합플랫폼을 구축 예정이다. 따라서 본 연구를 통해 빅데이터기반 귀농·귀촌 통합플랫폼 사용의도에 영향을 미치는 요인들을 분석하여 실제 플랫폼 구축 시 필요한 시사점을 도출하고자 한다.

2009-2022 Thailand public perception analysis of nuclear energy on social media using deep transfer learning technique

  • Wasin Vechgama;Watcha Sasawattakul;Kampanart Silva
    • Nuclear Engineering and Technology
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    • v.55 no.6
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    • pp.2026-2033
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    • 2023
  • Due to Thailand's nuclear energy public acceptance problem, the understanding of nuclear energy public perception was the key factor affecting to re-consideration of the nuclear energy program. Thailand Institute of Nuclear Technology and its alliances together developed the classification model for the nuclear energy public perception from the big data comments on social media using Facebook using deep transfer learning. The objective was to insight into the Thailand nuclear energy public perception on Facebook social media platform using sentiment analysis. The supervised learning was used to generate up-to-date classification model with more than 80% accuracy to classify the public perception on nuclear power plant news on Facebook from 2009 to 2022. The majority of neutral sentiments (80%) represented the opportunity for Thailand to convince people to receive a better nuclear perception. Negative sentiments (14%) showed support for other alternative energies due to nuclear accident concerns while positive sentiments (6%) expressed support for innovative nuclear technologies.

Simulation for the Decision-making Models of Supply Chain Inventory Management System (공급망 재고관리시스템의 의사결정모형을 위한 시뮬레이션)

  • Chen, Jinhui;Nam, Soo-tae;Jin, Chan-yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.159-160
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    • 2021
  • From the simulation results, under the collaborative platform of big data based on coordination of the beer industry to mobilize the supply chain operation condition, supply chain direct logistics inventory are in a relatively stable value, and there is no zero inventory or even a serious lack of beer in the stock situations like traditional beer supply chain operation, which avoid the situation of demand information expansion caused by chain inventory levels report because of the serious lack of supply.

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High-performance and Highly Scalable Big Data Analysis Platform (고성능, 고확장성 빅데이터 분석 플랫폼)

  • Park, Kyongseok;Yu, Chan Hee;Kim, Yuseon;Um, Jung-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.535-536
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    • 2021
  • 빅데이터를 활용한 기계학습 모델을 개발하기 위해서는 빅데이터 처리를 위한 플랫폼과 딥러닝 프레임 워크 등 고급 분석을 수행할 수 있는 도구의 활용이 동시에 요구된다. 그러나 빅데이터 플랫폼과 딥러닝 프레임워크를 자유롭게 활용하기 위해서는 상당한 수준의 기술적 지식과 경험이 필요하다. 또한 빅데이터를 이용한 딥러닝 모델을 개발할 경우 분산처리와 병렬처리에 대한 지식과 추가적인 작업이 요구된다. 본 연구에서는 빅데이터를 활용한 기계학습 모형을 자유롭게 개발 및 공유하고 분산 딥러닝을 위한 시스템적 지원을 통해 분야별로 딥러닝 모형을 개발하는 응용 연구자들이 활용할 수 있는 플랫폼을 제시하였다. 본 연구를 통해 다양한 분야의 연구자들이 자신의 데이터를 이용하여 모형을 개발할 경우 분산처리와 병렬처리를 위한 기술적 제약을 극복하고 보다 빠르고 효율적인 방법으로 모형을 개발하고 현업에 활용할 수 있을 것으로 기대한다.

A Review of FoodTech Applied to Foodservice (급식외식분야 푸드테크 동향 연구)

  • Jong Kyung Lee
    • Journal of the FoodService Safety
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    • v.4 no.2
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    • pp.42-47
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    • 2023
  • The FoodTech industry has been developed with the rise of start-up by using AI, big data, robotics, biotechnology. In addition, sustainable development is more important with the trend of population growth, aging, and climate change. We investigated the impact of FoodTech on the foodservice industry with the cases of the global and domestic companies. The technology of AI, IoT, blockchain, robotics, automation systems are widely used to improve food safety and hygiene while as the use of diagnostic biomarkers such as blood or DNA, digital platform and app, and AI-based solutions are used in the field of personalized nutrition. With the expand of FoodTech in foodservice industry, the competencies that the managers need to develop include understanding technology, resource management, self-development, work ethics, problem-solving, and communication, therefore the support of the related education and training is required.

The effect of Quality of Life by chronic disease using Bigdata (빅데이터를 이용한 만성질환 유무에 따른 삶의 질에 미치는 영향)

  • Kim, Min-kyoung;Cho, Young-bok
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.282-285
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    • 2018
  • The purpose of this study is to investigate the effect of personal factors and community factors on the quality of life based on the presence of chronic diseases based on the Big Data Platform. The research methodology was the matching of the 2017 Community Health Survey data and the National Statistical Office data to the health center units. In the study, The higher the age, the higher the education level, the higher the monthly household income, the economic activity, the spouse, the higher the quality of life. In the case of community factors, the lower the population density, the lower the elderly population ratio, the more doctors engaged in medical institutions, the higher the financial independence, the higher the quality of life.

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5G Cyber Physical System-based Smart City Service Policy (5G CPS 기반 스마트시티 서비스 정책)

  • Kim, Byung-Woon
    • Informatization Policy
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    • v.27 no.4
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    • pp.67-84
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    • 2020
  • This study proposes a smart city service revitalization policy based on communication facility infrastructure in 5G CPS - the core of the 4th industrial revolution, R&D, and related legislations. The 5G CPS is a converged form of ICT technologies, communications facilities, and physical systems. In this study, we propose methods of creating new services for the smart city domain based on communication facilities and the cloud platform in 5G CPS - first, by improving the communication methods classification system based on the facility scale; second, by establishing the national telecommunication facility infrastructure and making long-term investment; third, by reorganizing the Smart City Act aimed at activating new services; and lastly, by expanding the national data analytics R&D and policy support.