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Article ; Online: Indirect Validation of Ocean Remote Sensing Data via Numerical Model

Haoyu Jiang

Remote Sensing, Vol 12, Iss 2627, p

An Example of Wave Heights from Altimeter

2020 Volume 2627

Abstract: Using numerical model outputs as a bridge, an indirect validation method for remote sensing data was developed to increase the number of effective collocations between remote sensing data to be validated and reference data. The underlying idea for this ... ...

Abstract	Using numerical model outputs as a bridge, an indirect validation method for remote sensing data was developed to increase the number of effective collocations between remote sensing data to be validated and reference data. The underlying idea for this method is that the local spatial-temporal variability of specific parameters provided by numerical models can compensate for the representativeness error induced by differences of spatial-temporal locations of the collocated data pair. Using this method, the spatial-temporal window for collocation can be enlarged for a given error tolerance. To test the effectiveness of this indirect validation approach, significant wave height (SWH) data from Envisat were indirectly compared against buoy and Jason-2 SWHs, using the SWH gradient information from a numerical wave hindcast as a bridge. The results indicated that this simple indirect validation method is superior to “direct” validation.
Keywords	Indirect validation ; numerical model ; significant wave height ; altimeter ; Science ; Q
Subject code	518
Language	English
Publishing date	2020-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Research on the Hydrodynamic Performance of a Pentamaran in Calm Water and Regular Waves

Bowen Zhao / Haoyu Jiang / Jiyuan Sun / Dapeng Zhang

Applied Sciences, Vol 13, Iss 4461, p

2023 Volume 4461

Abstract: As a typical multi-hull ship, the pentamaran has a wider deck, higher damage stability, and low-speed seaworthiness in harsh sea conditions compared with other multi-hull types such as the catamaran and trimaran, having more potential for becoming a new ... ...

Abstract	As a typical multi-hull ship, the pentamaran has a wider deck, higher damage stability, and low-speed seaworthiness in harsh sea conditions compared with other multi-hull types such as the catamaran and trimaran, having more potential for becoming a new type of freight merchant ship in line with the development trend of the marine economy. In this paper, on the basis of the finite volume method, the numerical simulations and detailed comparative analysis of the monohull and pentamaran in viscous flow were carried out. The resistance prediction in calm water and regular waves and the changes of each resistance component of the pentamaran were explored. The dynamic fluid body interaction (DFBI) module was used for the calculations in calm water, and the overset mesh was used for the calculations in regular waves. The results show that in calm water, the adverse effect of the side hulls on the resistance was mainly reflected in the low-speed range. In the high-speed range, the influence of the side hulls on the resistance can be ignored. At high speeds, the main hull and side hulls of the pentamaran will produce favorable wave-making interference, thereby improving the wave-making performance of the pentamaran. In regular waves, although the added resistance of the pentamaran increased most of the time, its amplitude was smaller than that of the monohull under the same wave condition. This work provides a technical basis for the research on the design and hydrodynamic performance of the pentamaran.
Keywords	pentamaran ; monohull ; RANS ; regular waves ; hydrodynamic performance ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	621
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Dynamic Analysis of Underwater Torpedo during Straight-Line Navigation

Bowen Zhao / Jiyuan Sun / Dapeng Zhang / Keqiang Zhu / Haoyu Jiang

Applied Sciences, Vol 13, Iss 4169, p

2023 Volume 4169

Abstract: Torpedoes play an irreplaceable role in naval warfare; therefore, it is significant to study the dynamic response of the direct navigation of torpedoes. In order to study the dynamic response of torpedoes under different Munk moment coefficients, the ... ...

Abstract	Torpedoes play an irreplaceable role in naval warfare; therefore, it is significant to study the dynamic response of the direct navigation of torpedoes. In order to study the dynamic response of torpedoes under different Munk moment coefficients, the dynamic equation of torpedoes is established based on the momentum theorem and the momentum moment theorem. The linear motion mathematical model of torpedoes is obtained. The relationship between the torpedo and the Munk moment coefficient is derived. The straight-line motion model of the torpedo under different Munk moments is established, and the dynamic properties of the space motion of the torpedo are analyzed. It is found that the Munk moment coefficient increase will lead to an increase in the deflection of the torpedo’s direct motion on each degree of freedom, and the Munk moment coefficient is related to the additional mass matrix. During the design of the torpedo, the added mass should be reduced by changing the shape of the torpedo as much as possible so as to reduce the pitch moment, yaw, and roll moments of the torpedo.
Keywords	torpedo ; dynamic response ; Munk moment ; lumped-mass method ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	629
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Genetic Algorithm for TMS Coil Position Optimization in Stroke Treatment

Shujie Lu / Haoyu Jiang / Chengwei Li / Baoyu Hong / Pu Zhang / Wenli Liu

Frontiers in Public Health, Vol

2022 Volume 9

Abstract: Transcranial magnetic stimulation (TMS), a non-invasive technique to stimulate human brain, has been widely used in stroke treatment for its capability of regulating synaptic plasticity and promoting cortical functional reconstruction. As shown in ... ...

Abstract	Transcranial magnetic stimulation (TMS), a non-invasive technique to stimulate human brain, has been widely used in stroke treatment for its capability of regulating synaptic plasticity and promoting cortical functional reconstruction. As shown in previous studies, the high electric field (E-field) intensity around the lesion helps in the recovery of brain function, thus the spatial location and angle of coil truly matter for the significant correlation with therapeutic effect of TMS. But, the error caused by coil placement in current clinical setting is still non-negligible and a more precise coil positioning method needs to be proposed. In this study, two kinds of real brain stroke models of ischemic stroke and hemorrhagic stroke were established by inserting relative lesions into three human head models. A coil position optimization algorithm, based on the genetic algorithm (GA), was developed to search the spatial location and rotation angle of the coil in four 4 × 4 cm search domains around the lesion. It maximized the average intensity of the E-field in the voxel of interest (VOI). In this way, maximum 17.48% higher E-field intensity than that of clinical TMS stimulation was obtained. Besides, our method also shows the potential to avoid unnecessary exposure to the non-target regions. The proposed algorithm was verified to provide an optimal position after nine iterations and displayed good robustness for coil location optimization between different stroke models. To conclude, the optimized spatial location and rotation angle of the coil for TMS stroke treatment could be obtained through our algorithm, reducing the intensity and duration of human electromagnetic exposure and presenting a significant therapeutic potential of TMS for stroke.
Keywords	TMS ; stroke ; voxel of interest ; genetic algorithm ; coil position optimization ; Public aspects of medicine ; RA1-1270
Subject code	006
Language	English
Publishing date	2022-03-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Unexpectedly high levels and health risks of atmospheric polychlorinated biphenyls in modern mechanical dismantling of obsolete electrical equipment

Jingnan Li / Haoyu Jiang / Juanjuan Qin / Yuanyuan Qin / Xueming Zhou / Shaoxuan Shi / Zhao Shu / Yuwei Gao / Jihua Tan

Environment International, Vol 182, Iss , Pp 108333- (2023)

Investigations in a large integrated e-waste dismantling industrial estate

2023

Abstract: Large industrial estates for electrical and electronic waste (e-waste) mechanical dismantling and recycling are gradually replacing outmoded small factories and intensive domestic workshops for e-waste manual and chemical dismantling. However, the air ... ...

Abstract	Large industrial estates for electrical and electronic waste (e-waste) mechanical dismantling and recycling are gradually replacing outmoded small factories and intensive domestic workshops for e-waste manual and chemical dismantling. However, the air pollution and health risks of persistent organic pollutants during the modern mechanical processing of e-waste, especially obsolete electrical equipment, still remain unclear. Here, unexpectedly high levels (409.3 ng/m3) and health risks of airborne polychlorinated biphenyls (PCBs) were found during the mechanical processing of obsolete electric equipment or parts in a large integrated dismantling industrial estate, which is comparable to or a dozen times higher than those reported during chemical processing. In contrast, the levels (936.0 pg/m3) and health risks of particulate polybrominated diphenyl ethers (PBDEs) were all lower than those of previous studies. PCB emissions (44.9–3300.5 ng/m3) varied significantly across six mechanical dismantling places specifically treating waste motors, electrical appliances, hardware, transformers, and metals, respectively. The high PCB content and mass processing number of obsolete electrical equipment probably result in the highest PCB emissions from the mechanical dismantling of obsolete motors, followed by waste electrical appliances and metals. The PCB non-cancer and cancer risks associated with inhalation and dermal exposure in different mechanical dismantling places were all above the given potential risk limits. In particular, the health risks of dismantling obsolete motor exceeded the definite risk levels. Little difference in PCB emissions and health risks between working and non-working time suggested the importance of PCB volatilization from most e-waste. Such high PCB emissions and health risks of PCBs undoubtedly posed a severe threat to frontline workers, but fortunately, they decreased significantly with the increasing distance from the industrial estate. We highlight that PCB emissions and associated health ...
Keywords	PCBs ; PBDEs ; E-waste dismantling ; Mechanical dismantling ; Obsolete equipment ; Health risk assessment ; Environmental sciences ; GE1-350
Subject code	333
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Increasing Historical Tropical Cyclone-Induced Extreme Wave Heights in the Northern East China Sea during 1979 to 2018

Shuiqing Li / Haoyu Jiang / Yijun Hou / Ning Wang / Jiuyou Lu

Remote Sensing, Vol 12, Iss 2464, p

2020 Volume 2464

Abstract: Tropical cyclone (TC)-induced wind waves are a major concern in coastal safety, therefore quantifying the long-term change in extreme TC waves is critical for the design of coastal infrastructures and for understanding variations in coastal morphology. ... ...

Abstract	Tropical cyclone (TC)-induced wind waves are a major concern in coastal safety, therefore quantifying the long-term change in extreme TC waves is critical for the design of coastal infrastructures and for understanding variations in coastal morphology. In this study, a trend analysis is performed on the TC-induced extreme wave heights in the northern East China Sea using numerically simulated wave height data during the period of 1979 to 2018. The simulation was forced with historical TC winds constructed using a parametric TC wind model with satellite-observed TC best-track data as the input. The results show consistently increasing extreme wave heights throughout the study region, which are induced predominantly by the increasing TC intensity. The increase rates (0.01–0.08 m yr −1 ) are relatively large (small) in offshore (nearshore) waters and at relatively high (low) latitudes. The spatial variability of the wave height trend is highly sensitive to the type of TC track. An analytical model of extreme wave height trend is developed that can efficiently estimate the rate of change in the extreme wave heights using extreme wind speed information.
Keywords	tropical cyclone ; extreme wave height ; trend ; northern East China Sea ; Science ; Q
Subject code	551
Language	English
Publishing date	2020-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Optimal economic dispatching of multi‐microgrids by an improved genetic algorithm

Haoyu Jiang / Shiyuan Ning / Quanbo Ge / Wang Yun / JinQiang Xu / Yu Bin

IET Cyber-systems and Robotics, Vol 3, Iss 1, Pp 68-

2021 Volume 76

Abstract: Abstract A multi‐microgrid economic dispatching strategy based on adaptive mutation genetic algorithm is proposed for multi‐microgrid systems with different load types and power demands. Based on the analysis of industrial, residential and commercial ... ...

Abstract	Abstract A multi‐microgrid economic dispatching strategy based on adaptive mutation genetic algorithm is proposed for multi‐microgrid systems with different load types and power demands. Based on the analysis of industrial, residential and commercial loads, considering the synergy and complementarity between multi‐microgrids, an optimal dispatching model of multi‐microgrids based on the minimum operation cost and environmental protection cost of multi‐microgrids is established from the point of view of environmental protection and economy. At the same time, an adaptive mutation genetic algorithm is proposed to optimize the system model and find the optimal economic dispatching scheme.
Keywords	distributed power generation ; genetic algorithms ; power generation dispatch ; power generation economics ; Cybernetics ; Q300-390 ; Electronic computers. Computer science ; QA75.5-76.95
Language	English
Publishing date	2021-03-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Modulation of Sleep Architecture by Whole-Body Static Magnetic Exposure

Lei Yang / Haoyu Jiang / Xiaotong Ding / Zhongcai Liao / Min Wei / Juan Li / Tongning Wu / Congsheng Li / Yanwen Fang

International Journal of Environmental Research and Public Health, Vol 19, Iss 741, p

A Study Based on EEG-Based Automatic Sleep Staging

2022 Volume 741

Abstract: A steady increase in sleep problems has been observed along with the development of society. Overnight exposure to a static magnetic field has been found to improve sleep quality; however, such studies were mainly based on subjective evaluation. Thus, ... ...

Abstract	A steady increase in sleep problems has been observed along with the development of society. Overnight exposure to a static magnetic field has been found to improve sleep quality; however, such studies were mainly based on subjective evaluation. Thus, the presented data cannot be used to infer sleep architecture in detail. In this study, the subjects slept on a magneto-static mattress for four nights, and self-reported scales and electroencephalogram (EEG) were used to determine the effect of static magnetic field exposure (SMFE) on sleep. Machine learning operators, i.e., decision tree and supporting vector machine, were trained and optimized with the open access sleep EEG dataset to automatically discriminate the individual sleep stages, determined experimentally. SMEF was found to decrease light sleep duration (N2%) by 3.51%, and sleep onset latency (SOL) by 15.83%, while it increased deep sleep duration (N3%) by 8.43%, compared with the sham SMFE group. Further, the overall sleep efficiency (SE) was also enhanced by SMFE. It is the first study, to the best of our knowledge, where the change in sleep architecture was explored by SMFE. Our findings will be useful in developing a non-invasive sleep-facilitating instrument.
Keywords	static magnetic field exposure (SMFE) ; questionnaire ; electroencephalogram (EEG) ; sleep staging ; support vector machine (SVM) ; Medicine ; R
Subject code	150
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Fault recognition method of smart grid data acquisition system based on FNN and sequential DS fusion

Hanzhe Qiao / Quanbo Ge / Haoyu Jiang / Ziyi Li / Zilong You / Jianmin Zhang / Fengjuan Bi / Chunlei Yu

Cognitive Computation and Systems, Vol 3, Iss 1, Pp 28-

2021 Volume 36

Abstract: Abstract It is of significant practical importance to ensure the operational safety of the smart grid, which requires real‐time fault diagnosis and identifying what causes it based on an enormous amount of data. This article further studies the ... ...

Abstract	Abstract It is of significant practical importance to ensure the operational safety of the smart grid, which requires real‐time fault diagnosis and identifying what causes it based on an enormous amount of data. This article further studies the intelligent fault‐identification method based on the combination of multi‐machine learning methods on the bases of researching on Fault Diagnosis of Smart Grid Data Acquisition System. Firstly, we should apply statistical analysis and feature extraction for fault data. Then, we can use fuzzy neural network (FNN) to calculate the probability of fault prediction of power distribution stations, manufacturers and operation businesses, and use the membership function to calculate the corresponding fault membership and uncertainty. Secondly, it makes use of Dempster/Shafer (DS) evidence sequential fusion method to realize fault membership fusion, and gives the corresponding decision criteria for failure causes. Thirdly, a fault‐identification method of smart grid data‐acquisition system is established based on FNN and DS Evidence Fusion. Finally, the experimental results based on the actual operation data of smart grid show that the new method has a very good application effect at fault cause identification.
Keywords	statistical analysis ; fuzzy neural nets ; feature extraction ; smart power grids ; condition monitoring ; fault diagnosis ; Computer engineering. Computer hardware ; TK7885-7895 ; Computer applications to medicine. Medical informatics ; R858-859.7
Subject code	006
Language	English
Publishing date	2021-03-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Regional monitoring of biomass burning using passive air sampling technique reveals the importance of MODIS unresolved fires

Haoyu Jiang / Jun Li / Jiaqi Wang / Hongxing Jiang / Yangzhi Mo / Jiao Tang / Ruijie Zhang / Wanwisa Pansak / Guangcai Zhong / Shizhen Zhao / Jicai Ning / Chongguo Tian / Gan Zhang

Environment International, Vol 170, Iss , Pp 107582- (2022)

2022

Abstract: Field-based sampling can provide more accurate evaluation than MODIS in regional biomass burning (BB) emissions given the limitations of MODIS on unresolved fires. Polyurethane foam-based passive air samplers (PUF-PASs) are a promising tool for ... ...

Abstract	Field-based sampling can provide more accurate evaluation than MODIS in regional biomass burning (BB) emissions given the limitations of MODIS on unresolved fires. Polyurethane foam-based passive air samplers (PUF-PASs) are a promising tool for collecting atmospheric monosaccharides. Here, we deployed PUF-PASs to monitor monosaccharides and other BB-related biomarkers and presented a dataset of 31 atmospheric BB-related biomarkers in the Indo-China Peninsula (ICP) and Southwest China. The peak concentrations of monosaccharides in the ICP occurred before monsoon season. The highest concentrations were in the eastern Mekong plain, while the lowest were along the eastern coast. BB-related biomarkers displayed elevated concentrations after April, particularly in the monsoon season; however, fewer active fires were recorded by MODIS. This revealed the importance of MODIS unresolved fires (e.g., indoor biofuel combustion, small-scale BB incidents, and charcoal fires) to the regional atmosphere. The PAS derived levoglucosan concentrations indicated that, with the inclusion of MODIS unresolved fires, the estimated top-down emissions of PM (4194–4974 Gg/yr), OC (1234–1719 Gg/yr) and EC (52–384 Gg/yr) would be higher than previous bottom-up estimations in the ICP. Future studies on these MODIS unresolved fires and regional monitoring data of BB are vital for improving the modeling of regional BB emissions.
Keywords	Biomass burning ; PUF-PAS ; Indo-China Peninsula ; Levoglucosan ; Lignin derivatives ; Top-down emission estimations ; Environmental sciences ; GE1-350
Language	English
Publishing date	2022-12-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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