• International Journal of Internet, Broadcasting and Communication
• /
• v.7 no.1
• /
• pp.70-74
• /
• 2015

The cloud computing are provided various ways for accessing resources and services through collaboration. In this paper, we present a cloud computing model for collaboration in cloud environment. By introducing a model, it is possible to introduce and develop an application required for the database and business services. SaaS model can be applied overall or partially. In particular, business operations need various software. Since cost reduction and applying immediate service are available, it is possible to realize the business environment and high quality service.

• International Journal of Internet, Broadcasting and Communication
• /
• v.10 no.3
• /
• pp.35-41
• /
• 2018

Smart device has become an affordable main computing resource for robotic ap-plications in accordance with a fast growth of mobile internet environment. Since the computing power of smart device has been increased, smart device based ro-bot system attempts to replace traditional robot applications with laptop-based system. Methodologies for acquisition of remote sensory information and control of various types of robots using smart device have been proposed recently. In this paper, we propose a robot control system using a monitoring program and a communication protocol. The proposed system is a combination of an educa-tional programming oriented robot named EPOR-S. as small service robot plat-form and a smart device. Through a simulation study using image processing, the feasibility of combination of the proposed robot monitoring program and control system was verified.

• International Journal of Internet, Broadcasting and Communication
• /
• v.11 no.1
• /
• pp.8-16
• /
• 2019

As smartphone users grow, mobile operators are trying to standardize and commercialize Rich Communication Suite (RCS), which is a next-generation messaging service, so that it can replace legacy messaging services. However, it is not enough to spread RCS widely to the users only by publishing an RCS app. To increase the use of RCS, a web-based open API for common RCS capabilities is needed. By using the API, Internet-based developers can create applications that make use of the RCS capabilities with less effort and time. This paper proposes a lightweight Comet-based open API to allow mobile operators to expose useful information and capabilities to application developers. The system architecture of the open API framework and call flow between relevant nodes are defined. In addition, examples of protocol translations on the framework are provided.

• International Journal of Internet, Broadcasting and Communication
• /
• v.11 no.2
• /
• pp.27-30
• /
• 2019

Factory monitoring systems are gaining importance in wide areas of industry. Especially, there have been many efforts in implementation of vibration measurement and analysis for monitoring the status of rotating machines. In this paper, a digital signal processor (DSP) based monitoring system dedicated to the vibration monitoring and analysis on rotating machines is discussed. Vibration signals are acquired and processed for the continuous monitoring of the machine status. Time domain signals and fast Fourier transform (FFT) are used for vibration analysis. All of the signal processing procedures are done in the DSP to reduce the production and maintenance cost. The developed system could also provide remote and mobile monitoring capabilities to operator via internet connection. This paper describes the overview of the functional blocks of the implemented system. Test results based on signals from small-size single phase motors are discussed for monitoring and defect diagnosis of the machine status.

• International Journal of Internet, Broadcasting and Communication
• /
• v.14 no.4
• /
• pp.11-19
• /
• 2022

Data mining has broad applications that reach beyond scholarly and scientific research and provide internet search engine services that are commonly used forms of Text and Data Mining('TDM') of websites. The exceptions and limitations for data mining provide a competitive advantage in the global race for policy innovation because it permits researchers to conduct computational analysis - TDM on any materials to which they have access. For this purpose, Japan and the EU added limitations on copyright to legalize some TDM research through amendments to copyright law, and the U.S. copyright law has allowed data mining by the fair use provision. On the other hand, there are no explicit exceptions and limitations for data mining under the Korean Copyright Act, and there are no cases considering data mining fair use. We review comparatively exceptions and limitations on copyright which will help to encourage AI-related business by using more data smoothly through the mining process and extracting more valuable information.

• International Journal of Internet, Broadcasting and Communication
• /
• v.14 no.1
• /
• pp.209-218
• /
• 2022

Today, with the development of the Internet and mobile technology, consumers' purchasing patterns have shifted from offline to online. In addition, due to the recent COVID-19, online purchases have significantly increased, and accordingly, the courier industry for logistics delivery has also grown significantly. Various logistics robots are being operated in many industrial and can reduce the labor intensity and physical and mental fatigue of workers. However, if the logistics robot does not properly recognize the people or environment around it, it can lead to a serious accident. We conducted that how logistics robots can perform safe work in a working environment such as a logistics warehouse through the application of ISO/DIS 21448 (SOTIF) to autonomous logistics transport robots. This result is expected to contribute to the operation of unmanned logistics warehouses using AGV.

• International Journal of Internet, Broadcasting and Communication
• /
• v.14 no.1
• /
• pp.1-9
• /
• 2022

Recently, a large number of cryptocurrencies and block chains have been continuously released. However, these cryptocurrencies and block chains are open to users without authorized verification and testing procedures, causing various reliability problems. Existing cryptocurrencies and blockchain test methods build a blockchain Testnet for a certain period of time by the developer without external verification by a third party, and after repeatedly self-testing and self-operating processes, commercialization is in progress by switching to the Mainnet. This self-verification method does not guarantee objectivity and publicness, and high reliability of customers cannot be realized. This study proposes a cryptocurrency and blockchain test interface and test control system as a third-party open test method.

• International Journal of Internet, Broadcasting and Communication
• /
• v.16 no.1
• /
• pp.169-175
• /
• 2024

In this paper, we introduce a novel approach to enhance document security by integrating Computer Generated Hologram(CGH) encryption technology with a system for document encryption, printing, and subsequent verification using a smartphone application. The proposed system enables the encryption of documents using CGH technology and their printing on the edges of the document, simplifying document verification and validation through a smartphone application. Furthermore, the system leverages high-resolution smartphone cameras to perform online verification of the original document and supports offline document decryption, ensuring tamper detection even in environments without internet connectivity. This research contributes to the development of a comprehensive and versatile solution for document security and integrity, with applications in various domains.

• International Journal of Internet, Broadcasting and Communication
• /
• v.16 no.3
• /
• pp.388-393
• /
• 2024

The convergence of machine learning and smart farm is becoming more and more important. The purpose of this research is to quantitatively analyze machine learning and smart farm with bibliographic data from 2013 to 2023. This study analyzed the 251 articles, filtered from the Web of Science, with regard to the article publication trend, the article citation trend, the top 10 research area, and the top 10 keywords representing the articles. The quantitative analysis results reveal the four points: First, the number of article publications in machine learning and smart farm continued growing from 2016. Second, the article citations in machine learning and smart farm drastically increased since 2018. Third, Computer Science, Engineering, Agriculture, Telecommunications, Chemistry, Environmental Sciences Ecology, Material Science, Instruments Instrumentation, Science Technology Other Topics, and Physics are top 10 research areas. Fourth, it is 'machine learning', 'smart farming', 'internet of things', 'precision agriculture', 'deep learning', 'agriculture', 'big data', 'machine', 'smart' and 'smart agriculture' that are the top 10 keywords composing authors' keywords in the articles in machine learning and smart farm from 2013 to 2023.

• Journal of the Korean Society of Industry Convergence
• /
• v.14 no.4
• /
• pp.135-142
• /
• 2011

Convergence between telecom and broadcasting is today a worldwide phenomenon. Diverse services like VoD, mobile broadcasting, IPTV and interactive services have already made their market debut or are currently being commercialized. Regulatory systems are also being revised to appropriately regulate this new breed of services. We propose the new model of educational broadcasting system using the internet network, it is not different conventional coaxial cable methods. Especially, we design the multicast method of the network using the limited channel and resource, propose the method of intercommunication in the school between the broadcasting system and database system.