• Journal of Wetlands Research
• /
• v.1 no.1
• /
• pp.51-59
• /
• 1999

As important ecological systems, wetlands contribute a wide array of biological, social. and economic benefits. However, wetlands are lost until the present, primarily due to human induced land-use conversions. Society is placing demands for the efficient preservation and management on Woopo wetland as the first largest wetland in Korea. GIS(Geographic Information System) is a rapidly developing technology for handling, analyzing, and modeling ecological information on wetlands. In the paper, Woopo Wetland Management System has been developed by using Desktop GIS and Internet GIS technology to embrace major functions: information query and browsing, spatial searching on map, and rule-based analysis. As a menu-driven system, these functions are designed to be implemented through customized menus. The developed system is expected to be used for the effective publicity service as well as the professional management of Woopo.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2018.05a
• /
• pp.588-591
• /
• 2018

다양한 센서와 네트워크의 발달로 인하여 여러 분야의 사물인터넷 서비스들이 보급되기 시작하였다. 국내 사물인터넷 서비스의 인프라 수준은 높지만 사물인터넷의 생태계의 부족으로 인하여 사물인터넷 서비스의 경쟁력이 약하다. 이는 사물인터넷 발전에 부정적이 영향을 가져올 수 있으므로 사물인터넷의 생태계의 구성에 관한 논의가 필요하다. 본 논문에서는 사물인터넷 생태계를 비즈니스 관점과 시장 중심의 관점으로 분석하고, 세부적으로 생태계를 구성하는 4가지 요소에 대해 분석한다. 또한 국내 사물인터넷의 생태계의 부족한 점에 관하여 논의를 한다. 본 논문은 사물인터넷 생태계의 분석을 통하여 국내 사물인터넷의 생태계의 도움을 주는 역할을 할 것이다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.11
• /
• pp.5252-5268
• /
• 2018

To support a large-scale Hadoop cluster, Hadoop heartbeat messages are designed to deliver the significant messages, including task scheduling and completion messages, via piggybacking to reduce the number of messages received by the NameNode. Although Hadoop is designed and optimized for high-throughput computing via batch processing, the real-time processing of large amounts of data in Hadoop is increasingly important. This paper evaluates Hadoop's performance and costs when the heartbeat period is controlled to support latency sensitive applications. Through an empirical study based on Hadoop 2.0 (YARN) architecture, we improve Hadoop's I/O performance as well as application performance by up to 13 percent compared to the default configuration. We offer a guideline that predicts the performance, costs and limitations of the total system by controlling the heartbeat period using simple equations. We show that Hive performance can be improved by tuning Hadoop's heartbeat periods through extensive experiments.

• International Journal of Internet, Broadcasting and Communication
• /
• v.13 no.4
• /
• pp.1-10
• /
• 2021

The purpose of the study is to contribute to the positive development of blockchain technology by providing data to examine security vulnerabilities and threats to blockchain-based services and review countermeasures. The findings of this study are as follows. Threats to the security of blockchain-based services can be classified into application security threats, smart contract security threats, and network (P2P) security threats. First, application security threats include wallet theft (e-wallet stealing), double spending (double payment attack), and cryptojacking (mining malware infection). Second, smart contract security threats are divided into reentrancy attacks, replay attacks, and balance increasing attacks. Third, network (P2P) security threats are divided into the 51% control attack, Sybil attack, balance attack, eclipse attack (spread false information attack), selfish mining (selfish mining monopoly), block withholding attack, DDoS attack (distributed service denial attack) and DNS/BGP hijacks. Through this study, it is possible to discuss the future plans of the blockchain technology-based ecosystem through understanding the functional characteristics of transparency or some privacy that can be obtained within the blockchain. It also supports effective coping with various security threats.

• International Journal of Internet, Broadcasting and Communication
• /
• v.16 no.3
• /
• pp.379-387
• /
• 2024

Agriculture has always been the foundation of Vietnam's economy, accounting for a significant portion of GDP. However, like many traditional industries, Vietnamese agriculture faces many challenges, from inefficient supply chains to unpredictable weather developments. In recent years, Vietnam's agricultural sector has been looking for ways to improve productivity and efficiency by applying modern technology. Among these technologies, artificial intelligence (AI) has emerged as a potential solution to address the challenges farmers and other stakeholders face in the agricultural supply chain. AI can analyze large amounts of data, optimize resource allocation, and predict market trends, which can significantly improve decision-making in agriculture. However, despite the promising prospects of AI in agriculture, there are still challenges to the widespread application of AI in Vietnam. These include the need for more awareness, technical expertise, and Infrastructure to support AI implementation. In this study, we analyze the current state of AI applications in Vietnam's agricultural supply chain, identify key challenges, and propose strategies to facilitate the integration of AI technology in agriculture supply chains in Vietnam in the digital age.

• Journal of Digital Convergence
• /
• v.13 no.6
• /
• pp.105-111
• /
• 2015

In this highly competitive century, selling products and service through Internet and smart phones offers both opportunities and challenges. Online commerce is expanding it's wings to the offline market. The connection between online market and offline market is called O2O(Offline to Online) market. In this study we examine the best practice case study of an Internet company's successful efforts to connect users and offline merchants. Based on Dianping.com success story in China, a successful framework for building online to offline ecosystem is examined. Dianping.com successful experience may provide suggestions for other online companies operate in the convergent field.

• Journal of Internet Computing and Services
• /
• v.18 no.2
• /
• pp.113-121
• /
• 2017

As the industrial structure of the mobile telecommunications market is transforming into the ICT ecosystem centered on smartphones, the regulatory system conforming to the new ICT environment has become the main subject of discussion in key developed countries. The EU segmented the mobile phone service into wholesale and retail. Simultaneously, the EU appraised mobile telecommunication carriers' market domination in segmented markets to continuously improve the scheme to promote competition in the telecommunications market. In Korea, also, there is discussion about adopting the EU scheme to segment the mobile phone market definition more finely and taking measures to appraise the market domination in accordance with object appraisal criteria. As such, this study analyzes whether the current criteria for appraising the wholesale termination rate market domination under the ICT's domestic mobile telecommunication ecosystem is adequate and presents the rational improvement measures reflecting the theoretically suggested evaluation factors.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.17 no.2
• /
• pp.135-140
• /
• 2017

The demand for aquatic products in the domestic and overseas is increased, so that the aquaculture industry can achieve high performance by controlling and standardizing the production even with a relatively small amount of resources compared with existing fisheries. However, traditional method has problems of low productivity such as natural disasters and ecosystem pollution, and it is necessary to develop a new culture system that can move to the optimal culture site. In order to find the optimal location, you need to collect and analyze the necessary data such as temperature and DO in real time. Data analysis was performed by using K-means clustering method based on machine learning, so that it was possible to decision when and where to move the farm by repeated unsupervised learning. The proposed research could solve the problems of low productivity such as natural disasters and ecosystem pollution if applied to regressive fish farmers.

• International Journal of Internet, Broadcasting and Communication
• /
• v.13 no.4
• /
• pp.112-120
• /
• 2021

Recently, the number of consumers using digital online distribution platforms is increasing. This caused the rapid growth of the e-commerce market and increased delivery volume in urban areas. The logistics system, designed ar006Fund the city center to handle the delivery volume, operates a delivery system from the outskirts of the city to the urban area using cargo trucks. This maintains an ecosystem of high-cost and inefficient structures that increase social costs such as road traffic congestion and environmental problems. To solve this problem, research is being conducted worldwide to establish a high-efficiency urban joint logistics system using urban railway facilities and underground space infrastructure existing in existing cities. The joint logistics system begins with linking unmanned delivery automation services that link terminal delivery such as cargo classification and stacking, infrastructure construction that performs cargo transfer function by separating from passengers such as using cargo platform. To this end, it is necessary to apply the device to the vertical and horizontal transportation machine supporting the vertical transfer in the flat space of the joint logistics terminal, which is the base technology for transporting cargo using the transfer robot to the destination designated as a freight-only urban railway vehicle. Therefore, this paper aims to derive holistic viewpoints needs for design requirements for vertical and vertical transportation machines and freight transportation standard containers, which are underground railway logistics transport devices to be constructed by urban logistics ecosystem changes.

• International Journal of Internet, Broadcasting and Communication
• /
• v.16 no.1
• /
• pp.241-252
• /
• 2024

We analyze the types of Web3 business model innovation (BMI) of the six major Korean game companies by market size. As a result of the analysis, Nexon is watched as the adapter. It introduces blockchain (BC) layer 2, 'Polygon' to the extended ecosystem such as the creator's secondary creation, item utility, and compensation experience using the existing core intellectual property (IP). KakaoGames and Neowiz are watched as the adventurers. KakaoGames introduces BC layer 2, 'Polygon' and 'Near Protocol' to various experiments using tokenomics models in casual games and massively multiplayer online role-playing games (MMORPGs) using several existing popular IPs. Neowiz also introduces BC layer 2, 'Polygon' and 'Avalanche' to the IntellaX platform using existing game IPs. As the reinventor, Netmable positions as a game publisher that releases third-party games based on multi-chain infrastructure such as Klaytn, BNB Chain, Near Protocol, Aptos Foundation, and introduces BC to new core IPs. Finally, there are Wemade and Com2us as the mavericks. They aim to be the Web3 platform operators that create a BC layer 1 ecosystem and provide services that encompass BC games, GameFi, and non-fungible tokens (NFTs). Here are the implications of the four types of BMI. In terms of infrastructure, Nexon, KakaoGames, and Neowiz try to introduce a part of cross-chain, whereas Netmable tries to move toward a complete multi-chain strategy, and Wemade and Com2us also try to consider multi-chain, even if they have the full BC introduction. In terms of defending against market decline, Nexon and Netmable have a different position. Nexon which has a greater market dominance, only tries to continuously experiment, but Netmable is aggressively focusing on monetizing new products. Attacks on growth aspirations also show two different positions. KakaoGames and Neowiz only try to aggressively explore, while WeMade and Com2us try to set new standards for industrial innovation.