ScholarWorks Community:https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/172912024-03-28T22:01:01Z2024-03-28T22:01:01ZDewMetrics: Demystification of the Dew Computing in Sustainable Internet of ThingsRoy, SamarjitPanda, DebadritaKim, Byung-GyuBairagi, PalashMondal, TamalArosh, SirshenduSinha, SuprabhatDe, DebashisWang, YingweiSkala, KaroljDavidovic, Davorhttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/1596132024-03-22T04:30:27Z2024-09-01T00:00:00ZTitle: DewMetrics: Demystification of the Dew Computing in Sustainable Internet of Things
Authors: Roy, Samarjit; Panda, Debadrita; Kim, Byung-Gyu; Bairagi, Palash; Mondal, Tamal; Arosh, Sirshendu; Sinha, Suprabhat; De, Debashis; Wang, Yingwei; Skala, Karolj; Davidovic, Davor
Abstract: Dew computing, a new version of the computing paradigm appeared along with cloud, edge, and fog computing. Dew computing is a distributed computing framework that is deliberated as an augmentation in the cloud computing schema. Researchers and academic practitioners have explored the concept of dew computing since its germination. In dew computing, users can perform full system functionality without depending on Internet availability. Information will be warehoused on the local storage of the user’s device, and when the Internet connection is present, harmonization will be accomplished to synchronize the transmitted information on cloud-dependent applications. There have been voluminous implementations of dew computing in prevailing usages, although research achieved concerning dew computing is not as much as in erstwhile distributed computing spheres. They have even tried to integrate computing into several existing and sustainable applications, such as the Internet of Things, smart Healthcare, Indoor navigation, agriculture, and numerous human-centric paradigms. The key objective of dew computing is to enhance the efficiency and reduce the cost of personal IoT devices which further augment the productivity and scalability of any distributed computing network. In this chapter, we first briefly focus on unfolding the concept of dew computing. We illustrate a set of real-time case studies, such as the cache computing framework for dew devices, the reduced Internet dependency-induced decision-making processes, the crises, the humanitarian Internet of Music Things, and so on, where the flow of information should be abundant despite having issues with constant digital network connectivity. We would focus on providing a detailed literature survey of dew computing architecture, applications, tools, and technologies that might assist in delivering ICT-based sustainable Internet of Things applications. This chapter additionally provides a deep insight into upcoming tools and technologies that can be integrated with the conventional dew computing architecture for obtaining more efficiency in Internet-dependent distributed networks.2024-09-01T00:00:00ZA Time-Based Direct MPPT Technique for Low-Power Photovoltaic Energy HarvestingMaeng, JunyoungJeong, JunwonPark, InhoShim, MinseobKim, Chulwoohttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/1595962024-03-22T03:00:21Z2024-05-01T00:00:00ZTitle: A Time-Based Direct MPPT Technique for Low-Power Photovoltaic Energy Harvesting
Authors: Maeng, Junyoung; Jeong, Junwon; Park, Inho; Shim, Minseob; Kim, Chulwoo
Abstract: This letter introduces a maximum power point tracking (MPPT) technique for photovoltaic (PV) energy harvesting (EH) systems to enhance the end-to-end efficiency (ηE-E) when the output power of PV cell (PPV,MAX) is low. A ripple-based PV cell current sensing and a time domain multiplication are proposed to monitor the PV cell power delivered to the charger, which reduces the controller power consumption (PCTR). The PV EH system with the proposed MPPT method is implemented in a 180-nm CMOS process. The PCTR is 1.34 μW. The measured ηE-E at low PPV,MAX (13 μW) is 88%. The measured peak ηE-E is 94.4% at 82 μW. IEEE2024-05-01T00:00:00ZEffect of Nb addition and annealing treatment on structural and magnetic properties of Fe-Si-B-P-Cu alloy ribbonsLee, HyunkyungSon, HyunsolChoi-Yim, Haeinhttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/1597712024-03-22T06:30:23Z2024-03-01T00:00:00ZTitle: Effect of Nb addition and annealing treatment on structural and magnetic properties of Fe-Si-B-P-Cu alloy ribbons
Authors: Lee, Hyunkyung; Son, Hyunsol; Choi-Yim, Haein
Abstract: Thermal and magnetic properties of Fe85-xSi2B8P4Cu1Nbx (0 <= x <= 4) alloy ribbons of different microstructures were systematically investigated. Increase in Nb content raised the first crystallization onset temperature from 646 to 701 K suggesting improved thermal stability. XRD results on the as-spun ribbons also suggested the role of Nb increasing the thermal stability and glass-forming ability by showing fully amorphous patterns for all alloys with Nb addition. However, Nb addition turned out to decrease the saturation magnetic flux density from 1.74 to 1.17 T. To further optimize the properties, annealing treatment was carried out to find the optimized condition as Fe84Si2B8P4Cu1Nb1 processed at 793 K for 10 min resulting in nanocrystalline microstructure with a high saturation magnetic flux density of 2.03 T. Transmission electron microscopy confirmed the formation of nanocrystalline alpha-Fe phase in the annealed ribbons.2024-03-01T00:00:00ZDetection-Free Object Tracking for Multiple Occluded Targets in Plenoptic VideoYong, YunjeongKang, JiwooOh, Heeseokhttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/1597652024-03-22T06:00:22Z2024-02-01T00:00:00ZTitle: Detection-Free Object Tracking for Multiple Occluded Targets in Plenoptic Video
Authors: Yong, Yunjeong; Kang, Jiwoo; Oh, Heeseok
Abstract: Multiple object tracking (MOT) is a fundamental task in vision, but MOT techniques for plenoptic video are scarce. Almost all 2D MOT algorithms that show high performance mostly use the detection-based method which has the disadvantage of operating only for a specific object. To enable tracking of arbitrary desired objects, this paper introduces a groundbreaking detection-free tracking method for MOT in plenoptic videos. The proposed method deviates from traditional detection-based tracking methods, emphasizing the challenges of tracking targets with occlusions. The paper presents specialized algorithms that exploit the multifocal information of plenoptic video, including the focal range restriction and dynamic focal range adjustment schemes to secure robustness for occluded object tracking. To the improvement of the spatial searching capability, the anchor ensemble and the dynamic change of spatial search region algorithms are also proposed. Additionally, in terms of MOT, to reduce the computation time involved, the motion-adaptive time scheduling technique is proposed, which improves computation speed while guaranteeing a certain level of accuracy. Experimental results show a significant improvement in tracking performance, with a 77% success rate based on intersection over union for occluded targets in plenoptic videos, marking a substantial advancement in the field of plenoptic object tracking.2024-02-01T00:00:00Z