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Towards next generation Internet of Energy system: Framework and trends

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Energy and AI 2023年第4期14卷 660-681页

作者： Muqit Farhan Tanzim N.Reza Faisal R.Badal Md.R.Islam s M Muyeen Z.Tasneem Md.Mehedi Hasan Md.F.Ali Md.H.Ahamed s.H.Abhi Md.Manirul Islam subrata k.sarker sajal k.Das Prangon Das Department of Mechatronics Engineering Rajshahi University of Engineering TechnologyRajshahi 6204Bangladesh Department of Electrical Engineering Qatar UniversityDohaQatar

The quickening propensity of growth within the areas of information and communications technology and en-ergy networks has triggered the emergence of a central idea termed as Internet of Energy(IoE).such a concept relates the internet of things,which is the term used in describing the usage of sophisticated digital control devices with the capability of transmitting data via IT *** concept of an interconnected energy network is being formed in the upcoming days through upgrades in the field of intelligent energy systems to control real-time energy optimization and *** energy industry has had a sustained expansion,reaching the IoE milestone and continuing to this cutting-edge power system,which is the next generation of IoE.A directional pathway from the traditional power system to the IoE has been conducted in this research work by addressing the importance of integrating the smart transmission and communication infrastructure,smart metering,pricing and energy management scheme.A detailed investigation of the IoE with respect to technical angles,such as communication architecture,IoE on the supply&demand side,and IoE protocol based on fundamental elements and essential technologies has been carried out to indicate the blueprint and jurisdiction *** inte-gration,security and energy management challenges may deviate the performance of the IoE technology that has been focused with proper control issues and ***,a directional framework to establish the next-generation IoE system has been constructed with future scopes to insure higher resiliency,cyber-security and stability.

关键词： Internet of Energy IoT Microgrid smart grid Virtual power plant Next generation power system

Heat transfer analysis of Williamson fluid over exponentially stretching surface

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Applied Mathematics and Mechanics(English Edition) 2014年第4期35卷 489-502页

作者： s.NADEEM s.T.HUssAIN Department of Mathematics Quaid-i-Azam University

This study explores the effects of heat transfer on the Williamson fluid over a porous exponentially stretching surface. The boundary layer equations of the Williamson fluid model for two dimensional flow with heat transfer are presented. Two cases of heat transfer are considered, i.e., the prescribed exponential order surface temperature （PEsT） case and the prescribed exponential order heat flux （PEHF） case. The highly nonlinear partial differential equations are simplified with suitable similar and non-similar variables, and finally are solved analytically with the help of the optimal homotopy analysis method （OHAM）. The optimal convergence control parameters are obtained, and the physical fea- tures of the flow parameters are analyzed through graphs and tables. The skin friction and wall temperature gradient are calculated.

关键词： optimal homotopy analysis method (OHAM) Williamson fluid expo-nential stretching permeable wall heat transfer prescribed exponential order surfacetemperature (PEsT) prescribed exponential order heat flux (PEHF)

An Analysis of soil Coring strategies to Estimate Root Depth in Maize(Zea mays)and Common Bean(Phaseolus vulgaris)

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Plant Phenomics 2020年第1期2卷 347-366页

作者： James D.Burridge Christopher k.Black Eric A.Nord Johannes A.Postma Jagdeep s.sidhu Larry M.York Jonathan P.Lynch The Pennsylvania state University Department of Plant ScienceTyson BuildingUniversity ParkPA 16802USA Department of Biology Greenville University315 E.College AveGreenvilleIL 62246USA Forschungszentrum Jülich GmbH Institute of Bio-and Geosciences-Plant Sciences(IBG-2)52425 JülichGermany Noble Research Institute LLC2510 Sam Noble ParkwayArdmoreOK 73401USA

A soil coring protocol was developed to cooptimize the estimation of root length distribution(RLD)by depth and detection of functionally important variation in root system architecture(RsA)of maize and *** functional-structural model OpensimRoot was used to perform in silico soil coring at six locations on three different maize and bean RsA *** were compared to two seasons of field soil coring and one *** one-sided T-test(TOsT)analysis of in silico data suggests a between-row location 5 cm from plant base(location 3),best estimates whole-plot RLD/D of deep,intermediate,and shallow RsA phenotypes,for both maize and *** discriminant analysis indicates location 3 has~70%categorization accuracy for bean,while an in-row location next to the plant base(location 6)has~85%categorization accuracy in *** of field data suggests the more representative sampling locations vary by year and *** silico and field studies suggest location 3 is most robust,although variation is significant among seasons,among replications within a field season,and among field soil coring,trench,and *** propose that the characterization of the RLD profile as a dynamic rhizo canopy effectively describes how the RLD profile arises from interactions among an individual plant,its neighbors,and the pedosphere.

关键词： mays soil Root

statistical Procedures for Estimating and Detecting Climate Changes

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Advances in Atmospheric sciences 2006年第1期23卷 61-68页

作者： s. s. P. sHEN Department of Mathematical and statistical sciences University of AlbertaEdmontonCanada

This paper provides a concise description of the philosophy, mathematics, and algorithms for estimating, detecting, and attributing climate changes. The estimation follows the spectral method by using empirical orthogonal functions, also called the method of reduced space optimal averaging. The detection follows the linear regression method, which can be found in most textbooks about multivariate statistical techniques. The detection algorithms are described by using the space-time approach to avoid the non-stationarity problem. The paper includes （1） the optimal averaging method for minimizing the uncertainties of the global change estimate, （2） the weighted least square detection of both single and multiple signals, （3） numerical examples, and （4） the limitations of the linear optimal averaging and detection methods.

关键词： Climate change detection optimal averaging optimal detection mean square error multivariate analysis linear regression inference

Design of current mirror integration ROIC for snapshot mode operation

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Journal of semiconductors 2016年第10期37卷 68-74页

作者： Hari shanker Gupta A s kiran kumar M.shojaei Baghini subhananda Chakrabarti sanjeev Mehta Arup Roy Chowdhury Dinesh k sharma Indian Institute of Technology Bombay Mumbai India space Applications Centre Jodhpur Tekra Ahmedabad India

Current mirror integration（CMI） read out integrated circuit（ROIC） topology provides a low input impedance to photo-detectors and provides large injection efficiency, large charge handling capacity and snapshot mode operation without in-pixel opamps. The ROIC described in this paper has been implemented with a modified current mirror circuit, with matched PMOs pairs for detector input stage and its biasing. The readout circuit has been designed for 30×30μm^2 pixel size, 4×4 array size, variable frame rate, 5 Me charga pixel per second（Mpps）.Experimental performance of the test chip has achieved 15 Me charge handling capacity, a high dynamic range of83 dB, 99.8% linearity and 99.96% injection efficiency. The ROIC design has been fabricated in 3.3 V 1P6 MUMC180 nm CMOs process and tested up to 5 MHz pixel rate at room and at cryogenic temperature.

关键词： pixel pitch readout integrated circuit (ROIC) cryogenics snapshot FPA IR detectors

strong coupling,charm- and bottom-quark masses from electron-positron annihilation

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Chinese Physics C 2010年第6期34卷 675-679页

作者： J.H.kühn Institut für Theoretische Teilchenphysik Karlsruhe Institute of Technology

The cross section for electron-positron annihilation into hadrons allows for a precise determination of the strong coupling constant and the charm- and bottom-quark masses. Recent theoretical and experimental results ... 详细信息

关键词： strong coupling quark masses

Fuzzy Based Latent Dirichlet Allocation for Intrusion Detection in Cloud Using ML

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Computers, Materials & Continua 2022年第3期70卷 4261-4277页

作者： s.Ranjithkumar s.Chenthur Pandian sri Ramakrishan Engineering College Coimbatore641022India sNs College of Technology Coimbatore641035India

The growth of cloud in modern technology is drastic by provisioning services to various industries where data security is considered to be common issue that influences the intrusion detection system(IDs).IDs are considered as an essential factor to fulfill security ***,there are diverse Machine Learning(ML)approaches that are used for modeling effectual *** IDs are based on ML techniques and categorized as supervised and ***,IDs with supervised learning is based on labeled *** is considered as a common drawback and it fails to identify the attack ***,unsupervised learning fails to provide satisfactory ***,this work concentrates on semi-supervised learning model known as Fuzzy based semi-supervised approach through Latent Dirichlet Allocation(F-LDA)for intrusion detection in cloud *** helps to resolve the aforementioned ***,LDA gives better generalization ability for training the labeled ***,to handle the unlabelled data,Fuzzy model has been adopted for analyzing the ***,preprocessing has been carried out to eliminate data redundancy over network *** order to validate the efficiency of F-LDA towards ID,this model is tested under NsL-kDD cup dataset is a common traffic *** is done inMATLAB environment and gives better accuracy while comparing with benchmark standard *** proposed F-LDAgives better accuracy and promising outcomes than the prevailing approaches.

关键词： Cloud security fuzzy model latent dirichlet allocation preprocessing NsL-kDD

A　Combination　Method　of　sVD　And　Neuro－Controller　for　Identifying　Uncertain　systems

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Journal of systems Engineering and Electronics 1995年第2期6卷 40-51页

作者： Lin Wang, Min Han, Robert N.k. Loh (Center for Robottes and Advanced Automation, Oakland University, Michigan 48309, U.s.A.) Center for Robotics and Advanced Automation Oakland University Michigan 48309 U.S.A.

A combination method of singular Value Decomposition (sVD) and Neuro-Controller is presented in this *** a system with unknown structure and uncertain parameters,a sVD and backward linear prediction (BLP) method (sVD-BLP method) is used to determine the order of the system in a noisy environment. Then a neuro-controller is applied to dynamically idelltify is the uncertain parameters of the system in the face of disturbances. simulation results are presented.

关键词： sVD Neural network Adaptive control Backward linear prediction (BLP).

Phase transformation and crystal growth behavior of 8mol%(smO1.5, GdO1.5, and YO1.5) stabilized ZrO2 powders

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International Journal of Minerals,Metallurgy and Materials 2017年第7期24卷 842-849页

作者： R.Mahendran s.P.kumaresh Babu s.Natarajan s.Manivannan A.Vallimanalan Department of Metallurgical and Materials Engineering National Institute of Technology Tirchirappalli 620015 Tamil Nadu india

Nanocrystalline powders of ZrO_2–8mol%smO1.5（8sm sZ）, ZrO_2–8mol%GdO1.5（8Gd sZ）, and ZrO_2–8mol%YO1.5（8YsZ） were prepared by a simple reverse-coprecipitation technique. Differential thermal analysis/thermogravimetry（DTA/TG）, Fourier transform infrared spectroscopy（FTIR）, X-ray diffraction（XRD）, Raman spectroscopy, and high-resolution transmission electron microscopy（HRTEM） were used to study the phase transformation and crystal growth behavior. The DTA results showed that the ZrO_2 freeze-dried precipitates crystallized at 529, 465, and 467°C in the case of 8sm sZ, 8Gd sZ, and 8YsZ, respectively. The XRD and Raman results confirmed the presence of tetragonal ZrO_2 when the dried precipitates were calcined in the temperature range from 600 to 1000°C for 2 h. The crystallite size increased with increasing calcination temperature. The activation energies were calculated as 12.39, 12.45, and 16.59 k J/mol for 8sm sZ, 8Gd sZ, and 8YsZ respectively.

关键词： zirconia thermal analysis reverse coprecipitation activation energy