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Dr. Moon-Il Joo
Inje University

Basic Info


Research Keywords & Expertise

0 Human Computer Interaction
0 Software + Services
0 Software engineering
0 Information agriculture
0 Healthcare and biomedical applications

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Short Biography

Moon-Il Joo received an MS degree in Computer Engineering from Inje University in 2012, and a PhD in Computer Science from Inje University, Korea, in 2018. He is currently enrolled in a Doctoral program at the Department of Computer Science, Inje University, Korea. His research interests are in software engineering, human computer interaction, platform based big data, and component-based development.

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Journal article
Published: 07 August 2021 in Healthcare
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With the development of mobile and wearable devices with biosensors, various healthcare services in our life have been recently introduced. A significant issue that arises supports the smart interface among bio-signals developed by different vendors and different languages. Despite its importance for convenient and effective development, however, it has been nearly unexplored. This paper focuses on the smart interface format among bio-signal data processing and mining algorithms implemented by different languages. We designed and implemented an advanced software structure where analysis algorithms implemented by different languages and tools would seem to work in one common environment, overcoming different developing language barriers. By presenting our design in this paper, we hope there will be much more chances for higher service-oriented developments utilizing bio-signals in the future.

ACS Style

Moon-Il Joo; Satyabrata Aich; Hee-Cheol Kim. Development of a System for Storing and Executing Bio-Signal Analysis Algorithms Developed in Different Languages. Healthcare 2021, 9, 1016 .

AMA Style

Moon-Il Joo, Satyabrata Aich, Hee-Cheol Kim. Development of a System for Storing and Executing Bio-Signal Analysis Algorithms Developed in Different Languages. Healthcare. 2021; 9 (8):1016.

Chicago/Turabian Style

Moon-Il Joo; Satyabrata Aich; Hee-Cheol Kim. 2021. "Development of a System for Storing and Executing Bio-Signal Analysis Algorithms Developed in Different Languages." Healthcare 9, no. 8: 1016.

Journal article
Published: 08 May 2021 in Sustainability
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In the digital era, almost every system is connected to a digital platform to enhance efficiency. Although life is thus improved, security issues remain important, especially in the healthcare sector. The privacy and security of healthcare records is paramount; data leakage is socially unacceptable. Therefore, technology that protects data but does not compromise efficiency is essential. Blockchain technology has gained increasing attention as it ensures transparency, trust, privacy, and security. However, the critical factors affecting efficiency require further study. Here, we define the critical factors that affect blockchain implementation in the healthcare industry. We extracted such factors from the literature and from experts, then used interpretive structural modeling to define the interrelationships among these factors and classify them according to driving and dependence forces. This identified key drivers of the desired objectives. Regulatory clarity and governance (F2), immature technology (F3), high investment cost (F6), blockchain developers (F9), and trust among stakeholders (F12) are key factors to consider when seeking to implement blockchain technology in healthcare. Our analysis will allow managers to understand the requirements for successful implementation.

ACS Style

Satyabrata Aich; Sushanta Tripathy; Moon-Il Joo; Hee-Cheol Kim. Critical Dimensions of Blockchain Technology Implementation in the Healthcare Industry: An Integrated Systems Management Approach. Sustainability 2021, 13, 5269 .

AMA Style

Satyabrata Aich, Sushanta Tripathy, Moon-Il Joo, Hee-Cheol Kim. Critical Dimensions of Blockchain Technology Implementation in the Healthcare Industry: An Integrated Systems Management Approach. Sustainability. 2021; 13 (9):5269.

Chicago/Turabian Style

Satyabrata Aich; Sushanta Tripathy; Moon-Il Joo; Hee-Cheol Kim. 2021. "Critical Dimensions of Blockchain Technology Implementation in the Healthcare Industry: An Integrated Systems Management Approach." Sustainability 13, no. 9: 5269.

Journal article
Published: 22 February 2021 in Applied Sciences
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With the recent development of artificial intelligence and data mining technology, various and intelligent vital sign analysis technologies have been developed. Vital sign analysis algorithms and technologies are primarily developed using MATLAB and open source technologies, such as Python and R. The analysis algorithms developed with such programming languages can only be employed and run in their own respective development environments and, hence, are unfortunately not considered as platform independent. In that respect, the interoperability between development tools is needed to ensure efficiency in terms of development time and efforts and reusability between analysis technologies and algorithms developed in different languages. This paper presents the development of a vital sign analysis system that ensures interoperability, which leads to one common environment connecting different development platforms. To maintain the interoperability between MATLAB and R programming, we designed and implemented the Algorithm Block Broker (AB Broker). AB Broker is composed of AB Adapter and AB Broker. Here, the AB Broker uses AB Adapter to request execution of analysis algorithms developed in different languages, such as MATLAB, R, and Python. It also searches and runs the algorithm, helping implement the requested analysis technique. The AB Broker-based vital sign analysis system enables the integrated management of analysis and data mining technologies developed in different languages. From a developer’s point of view, therefore, it is convenient and efficient to develop techniques using existing different programming technologies.

ACS Style

Moon-Il Joo; Hee-Cheol Kim. A Vital Sign Analysis System Based on Algorithm Block Broker for Interoperability between Algorithm Development Tools. Applied Sciences 2021, 11, 1913 .

AMA Style

Moon-Il Joo, Hee-Cheol Kim. A Vital Sign Analysis System Based on Algorithm Block Broker for Interoperability between Algorithm Development Tools. Applied Sciences. 2021; 11 (4):1913.

Chicago/Turabian Style

Moon-Il Joo; Hee-Cheol Kim. 2021. "A Vital Sign Analysis System Based on Algorithm Block Broker for Interoperability between Algorithm Development Tools." Applied Sciences 11, no. 4: 1913.