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Improved Energy Management System for Wind Power-Based Microgrid with EV Charge Station

ELECTRIC POWER COMPONENTS AND SYSTEMS 2024年第10期52卷 1808-1820页

作者： Bekiroglu, Erdal Esmer, Sadullah Bolu Abant Izzet Baysal Univ Dept Elect & Elect Engn Bolu Turkiye Bolu Abant Izzet Baysal Univ Dept Elect & Elect Engn Turkiye TR-14280 Bolu Turkiye

This study aims to peak power shaving and reduce the cost of energy by using improved energy management system (EMS) in a microgrid. This study has three scenarios. In the first scenario, the EV charging station and the wind turbine operate standalone. In the second scenario, a microgrid structure including an energy storage system (ESS) and an EMS is established. The threshold algorithm has been used for the energy management. In the last scenario, fuzzy logic-based EMS is used for energy management. The impact of EV charge station and wind turbine on the grid and the cost of energy are analyzed for three scenarios. The results show that the use of microgrid-connected ESS significantly reduces the cost of energy and creates a more balanced load for the grid side. It is also proved that the EMS affects the energy losses. It is revealed that when the proposed fuzzy logic-based EMS is used, the energy cost is reduced by 78% and the peak power is reduced by 70%. Thus, it is seen that the proposed EMS successfully reduces both the cost of energy and the negative impact of EVs on the grid by balancing grid side load.

关键词： energy management system wind power microgrid EV charge station threshold algorithm fuzzy logic

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Optimization and Technical Validation of the AIDE-MOI Fall Detection algorithm in a Real-Life Setting with Older Adults

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SENSORS 2019年第6期19卷 1357.-1357.页

作者： Scheurer, Simon Koch, Janina Kucera, Martin Bryn, Hakon Bartschi, Marcel Meerstetter, Tobias Nef, Tobias Urwyler, Prabitha Bern Univ Appl Sci Dept Engn & Informat Technol CH-3401 Burgdorf Switzerland Oxomed AG CH-3097 Liebefeld Switzerland Univ Bern Gerontechnol & Rehabil Grp CH-3008 Bern Switzerland Univ Bern ARTORG Ctr Biomed Engn Res CH-3008 Bern Switzerland Inselspital Bern Univ Neurorehabil Unit Dept Neurol Univ Hosp CH-3010 Bern Switzerland

Falls are the primary contributors of accidents in elderly people. An important factor of fall severity is the amount of time that people lie on the ground. To minimize consequences through a short reaction time, the motion sensor AIDE-MOI was developed. AIDE-MOI senses acceleration data and analyzes if an event is a fall. The threshold-based fall detection algorithm was developed using motion data of young subjects collected in a lab setup. The aim of this study was to improve and validate the existing fall detection algorithm. In the two-phase study, twenty subjects (age 86.25 +/- 6.66 years) with a high risk of fall (Morse > 65 points) were recruited to record motion data in real-time using the AIDE-MOI sensor. The data collected in the first phase (59 days) was used to optimize the existing algorithm. The optimized second-generation algorithm was evaluated in a second phase (66 days). The data collected in the two phases, which recorded 31 real falls, was split-up into one-minute chunks for labelling as fall or non-fall. The sensitivity and specificity of the threshold-based algorithm improved significantly from 27.3% to 80.0% and 99.9957% (0.43) to 99.9978% (0.17 false alarms per week and subject), respectively.

关键词： wearable fall detection healthcare sensors threshold algorithm

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Best Features Selection for the Implementation of a Postural Sway Classification Methodology on a Wearable Node

IEEE OPEN JOURNAL OF INSTRUMENTATION AND MEASUREMENT

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IEEE OPEN JOURNAL OF INSTRUMENTATION AND MEASUREMENT 2022年 1卷

作者： Ando, Bruno Baglio, Salvatore Marletta, Vincenzo Finocchiaro, Valeria Dibilio, Valeria Mostile, Giovanni Zappia, Mario Branciforte, Marco Curti, Salvatore Univ Catania Dept Elect Elect & Informat Engn DIEEI I-95124 Catania Italy Univ Catania Dept Med Surg Sci & Adv Technol GF Ingrassia I-95124 Catania Italy STMicroelectron Srl I-95121 Catania Italy

The possibility of identifying potential altered postural status in frail people, including patients with Parkinson Disease, represents an important clinical outcome in the management of frail elderly subjects, since this could lead to greater instability and, consequently, an increased risk of falling. Several solutions proposed in the literature for the monitoring of the postural behavior use infrastructure-dependent approaches or wearable devices, which do not allow to distinguish among different kinds of postural sways. In this article, a low-cost and effective wearable solution to classify four different classes of postural behaviors (Standing, Antero-Posterior, Medio-Lateral, and Unstable) is proposed. The solution exploits a sensor node, equipped by a triaxial accelerometer, and a dedicated algorithm implementing the classification task. Different quantities are proposed to assess performance of the proposed strategy, with particular regards to the system capability to correctly classify an unknown pattern, through the index Q%, and the reliability index, RI%. Results achieved across a wide dataset demonstrated the suitability of the methodology developed, with Q% =99.84% and around 70% of classifications, showing an RI% above 65%.

关键词： Assessment inertial sensor postural classification reliability sensor node threshold algorithm Assessment inertial sensor postural classification reliability sensor node threshold algorithm

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Himawari-8 Satellite Based Dynamic Monitoring of Grassland Fire in China-Mongolia Border Regions

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SENSORS 2018年第1期18卷 276页

作者： Na, Li Zhang, Jiquan Bao, Yulong Bao, Yongbin Na, Risu Tong, Siqin Si, Alu Northeast Normal Univ Sch Environm Changchun 130024 Peoples R China Minist Educ Key Lab Vegetat Ecol Changchun 130024 Peoples R China Inner Mongolia Normal Univ Collage Geog Hohhot 010022 Peoples R China Northeast Normal Univ Sch Geog Sci Changchun 130024 Peoples R China

In this study, we used bands 7, 4, and 3 of the Advance Himawari Imager (AHI) data, combined with a threshold algorithm and a visual interpretation method to monitor the entire process of grassland fires that occurred on the China-Mongolia border regions, between 05:40 (UTC) on April 19th to 13:50 (UTC) on April 21st 2016. The results of the AHI data monitoring are evaluated by the fire point product data, the wind field data, and the environmental information data of the area in which the fire took place. The monitoring result shows that, the grassland fire burned for two days and eight hours with a total burned area of about 2708.29 km(2). It mainly spread from the northwest to the southeast, with a maximum burning speed of 20.9 m/s, a minimum speed of 2.52 m/s, and an average speed of about 12.07 m/s. Thus, using AHI data can not only quickly and accurately track the dynamic development of a grassland fire, but also estimate the spread speed and direction. The evaluation of fire monitoring results reveals that AHI data with high precision and timeliness can be highly consistent with the actual situation.

关键词： threshold algorithm visual interpretation Himawari-8 satellite grassland fire China-Mongolia border regions

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Prediction of appropriate ICD-therapy using infarct heterogeneity from CMR in patients with coronary artery disease

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Journal of Cardiovascular Magnetic Resonance 2015年第SUPPL 1期17卷 P165-P165页

作者： Robert Jablonowski Uzma Chaudhry Henrik Engblom Håkan Arheden Einar Heiberg Rasmus Borgquist Marcus Carlsson Cardiac MR group Lund Dept of Clinical Physiology Lund University Lund Sweden Dept. of Cardiology Arrhytmia Clinic Skane University Hospital Lund University Lund Sweden Dept. of Biomedical Engineering Faculty of Engineering Lund University Lund Sweden

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Design and Realization of an Early Pre-impact Fall Alarm System Based on MEMS Inertial Sensing Units

Design and Realization of an Early Pre-impact Fall Alarm Sys...

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第四届国际仿生工程学术会议

作者： Huiqi Li Ding Liang Yunkun Ning Qi Zhang Guoru Zhao Shenzhen Key Laboratory for Low-cost Healthcare and Shenzhen Institute s of Advanced Technology Chinese Academy of Sciences

Falls are the second leading cause of unintentional injury deaths worldwide, so how to prevent falls has become a safety and security problem for elderly *** present, because the sensing modules of most fall alarm devices generally only integrate the single 3-axis accelerometer, so the measured accuracy of sensing signals is *** results in that these devices can only achieve the alarm of post-fall detection but not the early pre-impact fall recognition in real fall applications.

关键词： early fall alarm inertial sensor threshold algorithm

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A New Bit-Allocating algorithm for Adaptive OFDM Transmission System

A New Bit-Allocating Algorithm for Adaptive OFDM Transmissio...

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2005年无线通信、网络和移动计算国际会议

作者： Hong Peng Jiong Zhu Collage of Information Engineering Zhejiang University of Technology Hangzhou Zhejiang China De Collage of Information Engineering Zhejiang University of Technology Hangzhou Zhejiang China

ISBN: (纸本)078039335X

This paper studies the bit loading algorithm for adaptive OFDM transmission system, and proposes an improved scheme called shifting-threshold algorithm. Using computer simulations, we show that the OFDM system employing the shifting threshold algorithm can enhance bit rate. On BER performance, the shifting threshold algorithm is better than fixed threshold algorithm.

关键词： OFDM Adaptive modulation threshold algorithm

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Intelligent Vacuum-pumping Detection Device Base On STM32MCU

Intelligent Vacuum-pumping Detection Device Base On STM32MCU

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第三届数字制造与自动化国际会议

作者： Zhengzhong Gao Qingliang Zeng Shiguang Li Shandong University of Science & technicology

Large centrifugal water pumps are widely applied in various water-supply and drainage systems. The vacuum-pumping is pre-requisite for their start-up so that the intelligent vacuum-pumping detection device utilizing STM32F103 as the main controller was presented to realize the automatic control especially of unattended pumps. A differential pressure transducer was adopted to measure the vacuum degree in pump chamber. Afterwards, an electrical signal of corresponding value was output, and then entered the ADC of STM32F103 after conditioning. The threshold algorithm was introduced for the judgement whether vacuum-pumping had been accomplished. Actual applications indicated this detection device was feasible and reliable, and the judgement algorithm was simply implemented and performed well in practice.

关键词： water pump vacuum-pumping STM32F103 pressure detection threshold algorithm

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A method of wavelet-based dual thresholding de-noising for ECG Signal

A method of wavelet-based dual thresholding de-noising for E...

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International Congress on Image and Signal Processing

作者： Liu Yi Yu-qing Song Sch. of Comput. Sci. & Telecommun. Eng. Jiangsu Univ. Zhenjiang China

ISBN: (纸本)9781479958368

ECG (Electrocardiography) signal is one of important means of clinical diagnosis for heart disease which has great significance in clinical medicine. De-noising is a critical task in the preprocess of ECG signal. This paper proposed a dual thresholding function and a level-dependent threshold estimator by the different thresholds estimated based on wavelet coefficients in different layers. Experiments were carried out and the results suggest that the proposed new threshold algorithm is suitable to remove the ECG signal noise and has potential in ECG signal processing field.

关键词： diseases electrocardiography medical signal processing signal denoising wavelet transforms ECG signal noise ECG signal preprocessing ECG signal processing field clinical diagnosis clinical medicine dual thresholding function heart disease level-dependent threshold estimator threshold algorithm wavelet coefficients wavelet-based dual thresholding denoising Electrocardiography Noise reduction Signal processing algorithms Signal to noise ratio Wavelet coefficients De-noising ECG Signal threshold De-noising Wavelet

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