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Sangmin Park
Department of Intelligent Energy and Industry, Chung-Ang University, Seoul 06974, Korea

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Journal article
Published: 01 July 2021 in Sensors
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Smart energy technologies, services, and business models are being developed to reduce energy consumption and emissions of CO2 and greenhouse gases and to build a sustainable environment. Renewable energy is being actively developed throughout the world, and many intelligent service models related to renewable energy are being proposed. One of the representative service models is the energy prosumer. Through energy trading, the demand for renewable energy and distributed power is efficiently managed, and insufficient energy is covered through energy transaction. Moreover, various incentives can be provided, such as reduced electricity bills. However, despite such a smart service, the energy prosumer model is difficult to expand into a practical business model for application in real life. This is because the production price of renewable energy is higher than that of the actual grid, and it is difficult to accurately set the selling price, restricting the formation of the actual market between sellers and consumers. To solve this problem, this paper proposes a small-scale energy transaction model between a seller and a buyer on a peer-to-peer (P2P) basis. This model employs a virtual prosumer management system that utilizes the existing grid and realizes the power system in real time without using an energy storage system (ESS). Thus, the profits of sellers and consumers of energy transactions are maximized with an improved return on investment (ROI), and an intelligent demand management system can be established.

ACS Style

Sanguk Park; Keonhee Cho; Seunghwan Kim; Guwon Yoon; Myeong-In Choi; Sangmin Park; Sehyun Park. Distributed Energy IoT-Based Real-Time Virtual Energy Prosumer Business Model for Distributed Power Resource. Sensors 2021, 21, 4533 .

AMA Style

Sanguk Park, Keonhee Cho, Seunghwan Kim, Guwon Yoon, Myeong-In Choi, Sangmin Park, Sehyun Park. Distributed Energy IoT-Based Real-Time Virtual Energy Prosumer Business Model for Distributed Power Resource. Sensors. 2021; 21 (13):4533.

Chicago/Turabian Style

Sanguk Park; Keonhee Cho; Seunghwan Kim; Guwon Yoon; Myeong-In Choi; Sangmin Park; Sehyun Park. 2021. "Distributed Energy IoT-Based Real-Time Virtual Energy Prosumer Business Model for Distributed Power Resource." Sensors 21, no. 13: 4533.

Journal article
Published: 31 August 2020 in Sensors
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Currently, many intelligent building energy management systems (BEMSs) are emerging for saving energy in new and existing buildings and realizing a sustainable society worldwide. However, installing an intelligent BEMS in existing buildings does not realize an innovative and advanced society because it only involves simple equipment replacement (i.e., replacement of old equipment or LED (Light Emitting Diode) lamps) and energy savings based on a stand-alone system. Therefore, artificial intelligence (AI) is applied to a BEMS to implement intelligent energy optimization based on the latest ICT (Information and Communications Technologies) technology. AI can analyze energy usage data, predict future energy requirements, and establish an appropriate energy saving policy. In this paper, we present a dynamic heating, ventilation, and air conditioning (HVAC) scheduling method that collects, analyzes, and infers energy usage data to intelligently save energy in buildings based on reinforcement learning (RL). In this regard, a hotel is used as the testbed in this study. The proposed method collects, analyzes, and infers IoT data from a building to provide an energy saving policy to realize a futuristic HVAC (heating system) system based on RL. Through this process, a purpose-oriented energy saving methodology to achieve energy saving goals is proposed.

ACS Style

Sanguk Park; Sangmin Park; Myeong-In Choi; Sanghoon Lee; Tacklim Lee; Seunghwan Kim; Keonhee Cho; Sehyun Park. Reinforcement Learning-Based BEMS Architecture for Energy Usage Optimization. Sensors 2020, 20, 4918 .

AMA Style

Sanguk Park, Sangmin Park, Myeong-In Choi, Sanghoon Lee, Tacklim Lee, Seunghwan Kim, Keonhee Cho, Sehyun Park. Reinforcement Learning-Based BEMS Architecture for Energy Usage Optimization. Sensors. 2020; 20 (17):4918.

Chicago/Turabian Style

Sanguk Park; Sangmin Park; Myeong-In Choi; Sanghoon Lee; Tacklim Lee; Seunghwan Kim; Keonhee Cho; Sehyun Park. 2020. "Reinforcement Learning-Based BEMS Architecture for Energy Usage Optimization." Sensors 20, no. 17: 4918.

Journal article
Published: 19 August 2019 in Sustainability
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To build sustainable smart energy cities (SECs) around the world, many countries are now combining customized services and businesses within their energy infrastructure and urban environments. Such changes could then promote the development of platforms that ultimately provide benefits for citizens such as convenience, safety, and cost savings. Currently, the development of technologies for SECs focuses on independent products and unit technology. However, this is problematic, as it may not be possible to develop sustainable cities if there is a lack of connectivity between various elements within the SEC. To solve such problems, this paper presents an AI-based physical and virtual platform using a 5-layer architecture to develop a sustainable smart energy city (SSEC). The architecture employs both a top-down and bottom-up approach and the links between each energy element in the SSEC can readily be analyzed. The economic analysis based on return on investment (ROI) is carried out by comparing the economic benefits before and after the application of this system. Deploying the proposed platform will enable the speedy development and application of new services for SSECs and will provide SSECs with measures to ensure sustainable development, such as rapid urban development, and cost reductions.

ACS Style

Sanguk Park; Sanghoon Lee; Sangmin Park; Sehyun Park. AI-Based Physical and Virtual Platform with 5-Layered Architecture for Sustainable Smart Energy City Development. Sustainability 2019, 11, 4479 .

AMA Style

Sanguk Park, Sanghoon Lee, Sangmin Park, Sehyun Park. AI-Based Physical and Virtual Platform with 5-Layered Architecture for Sustainable Smart Energy City Development. Sustainability. 2019; 11 (16):4479.

Chicago/Turabian Style

Sanguk Park; Sanghoon Lee; Sangmin Park; Sehyun Park. 2019. "AI-Based Physical and Virtual Platform with 5-Layered Architecture for Sustainable Smart Energy City Development." Sustainability 11, no. 16: 4479.

Journal article
Published: 13 November 2018 in Applied Sciences
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Recently, fire accidents in buildings have become bigger around the world, and it has become necessary to build an efficient building disaster management system suitable for fires in a Smart City. As building fires increase the number of casualties and property damage, it is necessary to take appropriate action accordingly. There has been an increasing effort to develop such disaster management systems worldwide by applying information communication technology (ICT), and many studies have been conducted in practice. In this paper, an augmented reality (AR)-based Smart Building and Town Disaster Management System is suggested in order to acquire visibility and to grasp occupants in case of fire disasters in buildings. This system provides visualization information and optimal guide for quick initial response by utilizing smart element AR-based disaster management service through linkage of physical virtual domain in the building. Additionally, we show a scenario flow chart of the fire extinguishment process according to the time from the ignition stage to the extinguishment stage in the building. Finally, we introduce the related sensors, the actuators, and a small test-bed for AR-based disaster management service. This test-bed was designed for interlocking and interoperability test of the system between the sensors and the actuators. It is expected that the proposed system can provide a quick and safe rescue guideline to the occupants and rescuers in the building where fire is generated and in regions of poor visibility.

ACS Style

Sangmin Park; Soung Hoan Park; Lee Won Park; Sanguk Park; Sanghoon Lee; Tacklim Lee; Sang Hyeon Lee; Hyeonwoo Jang; Seung Min Kim; Hangbae Chang; Sehyun Park. Design and Implementation of a Smart IoT Based Building and Town Disaster Management System in Smart City Infrastructure. Applied Sciences 2018, 8, 2239 .

AMA Style

Sangmin Park, Soung Hoan Park, Lee Won Park, Sanguk Park, Sanghoon Lee, Tacklim Lee, Sang Hyeon Lee, Hyeonwoo Jang, Seung Min Kim, Hangbae Chang, Sehyun Park. Design and Implementation of a Smart IoT Based Building and Town Disaster Management System in Smart City Infrastructure. Applied Sciences. 2018; 8 (11):2239.

Chicago/Turabian Style

Sangmin Park; Soung Hoan Park; Lee Won Park; Sanguk Park; Sanghoon Lee; Tacklim Lee; Sang Hyeon Lee; Hyeonwoo Jang; Seung Min Kim; Hangbae Chang; Sehyun Park. 2018. "Design and Implementation of a Smart IoT Based Building and Town Disaster Management System in Smart City Infrastructure." Applied Sciences 8, no. 11: 2239.

Multicenter study
Published: 01 April 2017 in Circulation: Cardiovascular Imaging
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Background— We developed a model that predicts difficulty of percutaneous coronary intervention for coronary chronic total occlusion (CTO) using coronary computed tomographic angiography. Methods and Results— A total of 684 CTO lesions with preprocedural computed tomographic angiography were enrolled from 4 centers. Data were randomly divided into derivation and validation datasets at 2:1 ratio. The end point was successful guidewire crossing ≤30 minutes, which was met in 50%. The KCCT (Korean Multicenter CTO CT Registry) score was developed based on independent predictors identified by multivariable analysis, which were proximal blunt entry, proximal side branch, bending, occlusion length ≥15 mm, severe calcification, whole luminal calcification, reattempt, and ≥12 months or unknown duration of occlusion. The KCCT score was compared with the other prediction scores, including angiography-based J-CTO, PROGRESS-CTO, CL-score, and CT-based CT-RECTOR. The probability of guidewire crossing ≤30 minutes declined consistently from 100% to 0% according to the KCCT score ( P <0.01, all). The KCCT score showed higher discriminative performance compared with the other scoring systems (c-statistics=0.78 versus 0.65–0.72, P <0.001, all). The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of a KCCT score of <4 for guidewire crossing ≤30 minutes was 70%, 68%, 72%, 73%, and 70%, respectively. The KCCT score also showed consistent results with procedural success ( P <0.05, all). These results could be reproduced in validation data set ( P <0.05, all). Conclusions— KCCT scoring could predict successful guidewire crossing ≤30 minutes and also procedural success. KCCT scoring may enable noninvasive grading difficulty of CTO percutaneous coronary intervention.

ACS Style

Cheol-Woong Yu; Hyun-Jong Lee; Jon Suh; Nae-Hee Lee; Sang-Min Park; Taek Kyu Park; Jeong Hoon Yang; Young Bin Song; Joo-Yong Hahn; Seung Hyuk Choi; Hyeon-Cheol Gwon; Sang-Hoon Lee; Yeon Hyeon Choe; Sung Mok Kim; Jin-Ho Choi. Coronary Computed Tomography Angiography Predicts Guidewire Crossing and Success of Percutaneous Intervention for Chronic Total Occlusion. Circulation: Cardiovascular Imaging 2017, 10, 1 .

AMA Style

Cheol-Woong Yu, Hyun-Jong Lee, Jon Suh, Nae-Hee Lee, Sang-Min Park, Taek Kyu Park, Jeong Hoon Yang, Young Bin Song, Joo-Yong Hahn, Seung Hyuk Choi, Hyeon-Cheol Gwon, Sang-Hoon Lee, Yeon Hyeon Choe, Sung Mok Kim, Jin-Ho Choi. Coronary Computed Tomography Angiography Predicts Guidewire Crossing and Success of Percutaneous Intervention for Chronic Total Occlusion. Circulation: Cardiovascular Imaging. 2017; 10 (4):1.

Chicago/Turabian Style

Cheol-Woong Yu; Hyun-Jong Lee; Jon Suh; Nae-Hee Lee; Sang-Min Park; Taek Kyu Park; Jeong Hoon Yang; Young Bin Song; Joo-Yong Hahn; Seung Hyuk Choi; Hyeon-Cheol Gwon; Sang-Hoon Lee; Yeon Hyeon Choe; Sung Mok Kim; Jin-Ho Choi. 2017. "Coronary Computed Tomography Angiography Predicts Guidewire Crossing and Success of Percutaneous Intervention for Chronic Total Occlusion." Circulation: Cardiovascular Imaging 10, no. 4: 1.

Research article
Published: 17 October 2016 in International Journal of Distributed Sensor Networks
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In the changing environment of the Internet of Things, optimal energy management in smart spaces requires intelligent and reliable energy-aware-based context sensing and technologies that are capable of recognizing and analyzing the big-data user pattern. In this article, we propose an intelligent and reliable standby power management system. The system uses physical and virtual user behavioral pattern analysis based on energy-aware management to cut-off the standby power of office appliances in the office environment. We propose a two-step priority power-aware method. The first step entails physical perception and management that controls devices through user recognition and device relationship scenarios. The second step is virtual perception and management that controls the standby power by collecting user behavioral patterns and performs an analysis based on a rule mechanism. The proposed system was applied to three locations (offices A, B, and C) in the university test-bed. Power consumption was reduced to 23% of the original consumption through the elimination of unnecessary standby power consumption.

ACS Style

Sanguk Park; Sangmin Park; Byeongkwan Kang; Myeong-In Choi; Keon-Hee Cho; Sehyun Park. Design and implementation of an office standby–power management system through physical and virtual management by user–device habitual pattern analysis in energy–Internet of Things environments. International Journal of Distributed Sensor Networks 2016, 12, 1 .

AMA Style

Sanguk Park, Sangmin Park, Byeongkwan Kang, Myeong-In Choi, Keon-Hee Cho, Sehyun Park. Design and implementation of an office standby–power management system through physical and virtual management by user–device habitual pattern analysis in energy–Internet of Things environments. International Journal of Distributed Sensor Networks. 2016; 12 (10):1.

Chicago/Turabian Style

Sanguk Park; Sangmin Park; Byeongkwan Kang; Myeong-In Choi; Keon-Hee Cho; Sehyun Park. 2016. "Design and implementation of an office standby–power management system through physical and virtual management by user–device habitual pattern analysis in energy–Internet of Things environments." International Journal of Distributed Sensor Networks 12, no. 10: 1.

Research article
Published: 09 August 2016 in International Journal of Distributed Sensor Networks
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In the coming Internet of Things era, billions of users and devices will be connected to the Internet; this will lead beyond the era of super-connection to the era of super-fusion. In this era, it is more important than ever to design a highly scalable Internet of Things infrastructure by mass customization for cost-effective production of exponentially increasing numbers of Internet of Things systems to provide more intelligent service in smart spaces. The purpose of this article is the design of mass-customization-based Internet of Things system through three-level analysis of the building; it proposes a new concept of a systematic design for providing economical Internet of Things systems for intelligent service in smart building spaces through three-level analysis comprising environmental-, service-, and functional-level analyses.

ACS Style

Sanguk Park; Sangmin Park; Jinsung Byun; Sehyun Park. Design of a mass-customization-based cost-effective Internet of Things sensor system in smart building spaces. International Journal of Distributed Sensor Networks 2016, 12, 1 .

AMA Style

Sanguk Park, Sangmin Park, Jinsung Byun, Sehyun Park. Design of a mass-customization-based cost-effective Internet of Things sensor system in smart building spaces. International Journal of Distributed Sensor Networks. 2016; 12 (8):1.

Chicago/Turabian Style

Sanguk Park; Sangmin Park; Jinsung Byun; Sehyun Park. 2016. "Design of a mass-customization-based cost-effective Internet of Things sensor system in smart building spaces." International Journal of Distributed Sensor Networks 12, no. 8: 1.

Journal article
Published: 01 November 2015 in International Journal of Distributed Sensor Networks
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The development of the Internet of Things (IoT) technologies has enabled smart objects to communicate with each other, and various IoT methods and techniques have appeared accordingly. At this point in time, there is a growing need for big data-based energy-IoT technology that can reduce energy consumption. However, despite the emergence of these technologies for IoT, there is still a lack of control systems to surmount the energy efficiency problem of hyperconnected IoT applications. In this paper, we attempt to reduce energy consumption by automatically controlling the communication between each device by establishing three different energy-IoT-based chains regarding the relationship of connections between devices.

ACS Style

Sangmin Park; Sanguk Park; Jinsung Byun; Yeong Yu; Sehyun Park. Design of Building Energy Autonomous Control System with the Intelligent Object Energy Chain Mechanism Based on Energy-IoT. International Journal of Distributed Sensor Networks 2015, 11, 931792:1 -931792:9.

AMA Style

Sangmin Park, Sanguk Park, Jinsung Byun, Yeong Yu, Sehyun Park. Design of Building Energy Autonomous Control System with the Intelligent Object Energy Chain Mechanism Based on Energy-IoT. International Journal of Distributed Sensor Networks. 2015; 11 (11):931792:1-931792:9.

Chicago/Turabian Style

Sangmin Park; Sanguk Park; Jinsung Byun; Yeong Yu; Sehyun Park. 2015. "Design of Building Energy Autonomous Control System with the Intelligent Object Energy Chain Mechanism Based on Energy-IoT." International Journal of Distributed Sensor Networks 11, no. 11: 931792:1-931792:9.

Journal article
Published: 01 January 2014 in Forschende Komplementärmedizin / Research in Complementary Medicine
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Background: The aim of this study was to investigate the effects of needle-pricking therapy on peripheral facial paralysis. Methods: This study included 162 patients with peripheral facial paralysis, 107 of whom were treated with usual care (conventional and alternative treatments) and 55 of whom were additionally treated with needle-pricking therapy on 3 specific extra-meridian acupuncture points known as ‘Samjoong' (Sānchóng in Chinese). We evaluated changes in facial motor functions and sequelae using the Yanagihara and gross House-Brackmann grading systems before and after treatments. Results: Yanagihara score and House-Brackmann grade significantly improved after treatments in both groups. However, the needle-pricking therapy group showed greater improvements in Yanagihara score and House-Brackmann grade than the usual care group. Conclusion: Our results suggest that Samjoong needle-pricking therapy could be applied as an adjunct therapy to usual care for patients with peripheral facial paralysis.

ACS Style

You-Jung Kwon; Seunghoon Lee; Sangmin Park; Ungin Lee; Sung-Keun Lim; Dongwoo Nam; Sanghoon Lee. Clinical Effects of Needle-Pricking Therapy on Peripheral Facial Paralysis. Forschende Komplementärmedizin / Research in Complementary Medicine 2014, 21, 300 -300.

AMA Style

You-Jung Kwon, Seunghoon Lee, Sangmin Park, Ungin Lee, Sung-Keun Lim, Dongwoo Nam, Sanghoon Lee. Clinical Effects of Needle-Pricking Therapy on Peripheral Facial Paralysis. Forschende Komplementärmedizin / Research in Complementary Medicine. 2014; 21 (1):300-300.

Chicago/Turabian Style

You-Jung Kwon; Seunghoon Lee; Sangmin Park; Ungin Lee; Sung-Keun Lim; Dongwoo Nam; Sanghoon Lee. 2014. "Clinical Effects of Needle-Pricking Therapy on Peripheral Facial Paralysis." Forschende Komplementärmedizin / Research in Complementary Medicine 21, no. 1: 300-300.