检索结果-南通市图书馆

Intelligent and Converged Networks 2020年第3期1卷 243-257页

作者： g.m.shafiqur rahman Tian Dang manzoor Ahmed Key Laboratory of Universal Wireless Communications(ministry of Education) Beijing University of Posts and TelecommunicationsBeijing 100876China

Fog Radio Access Networks(F-RANs)have been considered a groundbreaking technique to support the services of Internet of Things by leveraging edge caching and edge ***,the current contributions in computation offloading and resource allocation are inefficient;moreover,they merely consider the static communication mode,and the increasing demand for low latency services and high throughput poses tremendous challenges in F-RANs.A joint problem of mode selection,resource allocation,and power allocation is formulated to minimize latency under various *** propose a Deep Reinforcement Learning(DRL)based joint computation offloading and resource allocation scheme that achieves a suboptimal solution in *** core idea of the proposal is that the DRL controller intelligently decides whether to process the generated computation task locally at the device level or offload the task to a fog access point or cloud server and allocates an optimal amount of computation and power resources on the basis of the serving *** results show that the proposed approach significantly minimizes latency and increases throughput in the system.

关键词： fog radio access networks computation offloading mode selection resource allocation distributed computation low latency deep reinforcement learning

Optimizing BERT for Bengali Emotion Classification: Evaluating Knowledge Distillation, Pruning, and Quantization

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer modeling in Engineering & Sciences 2025年第2期142卷 1637-1666页

作者： md Hasibur rahman mohammed Arif Uddin Zinnat Fowzia Ria Rashedur m.rahman Department of Electrical and Computer Engineering North South UniversityDhaka1229Bangladesh

The rapid growth of digital data necessitates advanced natural language processing(NLP)models like BERT(Bidi-rectional Encoder Representations from Transformers),known for its superior performance in text ***,BERT’s size and computational demands limit its practicality,especially in resource-constrained *** research compresses the BERT base model for Bengali emotion classification through knowledge distillation(KD),pruning,and quantization *** Bengali being the sixth most spoken language globally,NLP research in this area is *** approach addresses this gap by creating an efficient BERT-based model for Bengali *** have explored 20 combinations for KD,quantization,and pruning,resulting in improved speedup,fewer parameters,and reduced memory *** best results demonstrate significant improvements in both speed and *** instance,in the case of mBERT,we achieved a 3.87×speedup and 4×compression ratio with a combination of Distil+Prune+Quant that reduced parameters from 178 to 46 m,while the memory size decreased from 711 to 178 *** results offer scalable solutions for NLP tasks in various languages and advance the field of model compression,making these models suitable for real-world applications in resource-limited environments.

关键词： Bengali NLP black-box distillation emotion classification model compression post-training quantization unstructured pruning

Latency minimization for Internet of Things (IoT) in Device to Device (D2D) Communication with Intervention of Fog Computing

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Latency Minimization for Internet of Things (IoT) in Device ...

作者： g. m. shafiqur rahman 北京邮电大学

学位级别：硕士

Over the past decade,due to immense advancement of powerful mobile devices and internet-connected things,there is a tremendous growing trend for proximity-based applications,such as peer-to-peer file sharing,local multicasting and *** addition,we are on the verge of a transition into a state of fully connected fifth generation wireless technology where high capacity is ***,with current infrastructure deployments and radio resources,telecommunication operators will not be able to adapt with this upcoming rigorous ***,to satisfy the flourishing demand of high-data-rate,device to device(D2D)communication has been considered as one of the key techniques for next generation's wireless communications.D2D communication is a hot issue for future wireless communication system in both academia and *** D2D communications,proximity users in a cellular network can communicate directly to each other without traversing base station(BS).Furthermore,due to promising features of D2D communications and rapid growth of internet-connected things the emerging Internet of Things(IoT)concepts have evolved and become very popular in contemporary D2D based communication *** promising applications of IoT are increasing at an unprecedented scale around the ***,the IoT generate harmful delay into the existing cellular network and become a bottleneck for entire communication ***,the latency minimization is one of the challenging and important issues for IoT in D2D *** this dissertation,we mainly focus on minimizing latency for IoT in D2D communications with the intervention of newly proposed fog computing *** the research of latency minimization for IoT in D2D communications,an advanced system architecture and mathematical model has been presented,where the objective is to minimize the overall latency and enhance the performance of next generation IoT *** framework includes three part

关键词： internet of things latency device to device fog computing cloud computing

Understanding gaseous reduction in swine manure resulting from nanoparticle treatments under anaerobic storage conditions

同方学位论文库评论

在线全文

同方学位论文库

学校读者我要写书评

暂无评论

Journal of Environmental Sciences 2019年第8期31卷 179-191页

作者： Niloy Chandra Sarker md Borhan Ann-marie Fortuna shafiqur rahman Agricultural and Biosystems Engineering Department North Dakota State University USDA-ARS Grazinglands Research Laboratory

manure is an impending source of carbon(C), sulfur(S) and water(H_2 O). Consequently,microbial populations utilize these constituents to produce methane(CH4), carbon dioxide(CO_2), greenhouse gases(gHgs), and hydrogen sulfide(H_2 S). Application of nanoparticles(NPs) to stored manure is an emerging gHg mitigation technique. In this study, two NPs: nano zinc oxide(nZnO) and nano silver(nAg) were tested in swine manure stored under anaerobic conditions to determine their effectiveness in mitigating gaseous emissions and total gas production. The biological sources of gas production, i.e., microbial populations were characterized via Quantitative Polymerase Chain Reaction(qPCR) analysis. Additionally, pH, redox, and VFAs were determined using standard methods. Each treatment of the experiment was replicated three times and NPs were applied at a dose of 3 g/L of manure. Also, headspace gas from all treatment replicates were analyzed for CH_4 and CO_2 gas concentrations using an SRI-8610 gas Chromatograph and H_2 S concentrations were measured using a Jerome 631 X meter. Nanoparticles tested in this study reduced the cumulative gas volume by 16%–79% compared to the control. Among the NPs tested, only nZnO consistently reduced gHg concentrations by 37%–97%. Reductions in H_2 S concentrations ranged from 87% to97%. gaseous reductions were likely due to decreases in the activity and numbers of specific gas producing methanogenic archaea and sulfate reducing bacterial(SRB)species.

关键词： Swine manure Nanoparticles greenhouse gas methanogen Sulfate reducing bacteria(SRB)

Comparative Evaluation of machine Learning models and Input Feature Space for Non-intrusive Load monitoring

在线全文

学校读者我要写书评

暂无评论

Journal of modern Power Systems and Clean Energy 2021年第5期9卷 1161-1171页

作者： Attique Ur Rehman Tek Tjing Lie Brice Valles shafiqur rahman Tito Department of Electrical and Electronic Engineering Auckland University of TechnologyAucklandNew Zealand Brice Valles Consulting AucklandNew Zealand School of Engineering and Trades Manukau Institute of TechnologyAucklandNew Zealand

Recent advancement in computational capabilities has accelerated the research and development of non-intrusive load ***-intrusive load monitoring(NILm)offers many promising applications in the context of energy efficiency and *** classification is a key component of NILm that relies on different artificial intelligence techniques,e.g.,machine *** study employs different machine learning models for load classification and presents a comprehensive performance evaluation of the employed models along with their comparative ***,this study also analyzes the role of input feature space dimensionality in the context of classification *** the above purposes,an event-based NILm methodology is presented and comprehensive digital simulation studies are carried out on a low sampling real-world electricity load acquired from four different *** on the presented analysis,it is concluded that the presented methodology yields promising results and the employed machine learning models generalize well for the invisible diverse testing *** multi-layer perceptron learning model based on the neural network approach emerges as the most promising ***,it is also noted that it significantly facilitates the classification performance by reducing the input feature space dimensionality.

关键词： machine learning model load feature non-intrusive load monitoring(NILm) comparative evaluation

Nanoparticles in mitigating gaseous emissions from liquid dairy manure stored under anaerobic condition

在线全文

学校读者我要写书评

暂无评论

Journal of Environmental Sciences 2019年第2期31卷 26-36页

作者： Niloy Chandra Sarker shafiqur rahman md.Saidul Borhan Parthiban Rajasekaran Swadeshmukul Santra Ali Ozcan Agricultural and Biosystems Engineering North Dakota State University NanoScience Technology Center University of Central Florida Burnett School of Biomedical Sciences University of Central Florida Department of Chemistry University of Central Florida Department of materials Science and Engineering University of Central Florida

A number of mitigation techniques exist to reduce the emissions of pollutant gases and greenhouse gases(gHgs) from anaerobic storage of livestock manure. Nanoparticle(NP)application is a promising mitigating treatment option for pollutant gases, but limited research is available on the mode of NP application and their effectiveness in gaseous emission reduction. In this study, zinc silica nanogel(ZnSNL), copper silica nanogel(CuSNL), and N-acetyl cysteine(NACL) coated zinc oxide quantum dot(Qdot) NPs were compared to a control lacking NPs. All three NPs tested significantly reduced gas production and concentrations compared to non-treated manure. Overall, cumulative gas volumes were reduced by 92.73%–95.83%, and concentrations reduced by 48.98%–99.75% for H_2S, and 20.24%–99.82% for gHgs. Thus, application of NPs is a potential treatment option for mitigating pollutant and gHg emissions from anaerobically stored manure.

关键词： Nanoparticles greenhouse gas Hydrogen sulfide Anaerobic storage gaseous reduction

Non-invasive load-shed authentication model for demand response applications assisted by event-based non-intrusive load monitoring

在线全文

学校读者我要写书评

暂无评论

Energy and AI 2021年第1期3卷 180-191页

作者： Attique Ur Rehman Tek Tjing Lie Brice Valls shafiqur rahman Tito School of Engineering Computerand Mathematical SciencesAuckland University of TechnologyNew Zealand Brice Valles Consulting New Zealand School of Professional Engineering Manukau Institute of TechnologyNew Zealand

With today’s growth of prosumers and renewable energy resources,it is inevitable to incorporate the demand-side approaches for reliable and sustainable grid *** this context,demand response is a promising technique facilitating the consumers to play a substantial role in the energy market by altering their energy consumption patterns in times of peak demand or other critical ***,effective demand response deployment faces numerous challenges including trust deficit among the concerned *** paper addresses the mentioned issue by proposing a non-invasive load-shed authentication model for demand response applications,assisted by an improved event-based non-intrusive load monitoring *** the said purposes,an improved event detection algorithm and machine learning model:support vector machine with a combination of genetic algorithm and gridSearchCV,is *** paper also presents a comprehensive real-world case study to validate the effectiveness of the proposed model in a real-life *** the given context,all the simulations are carried out on low sampling real-world load measurements:Pecan Street-Dataport,where electric vehicle and air conditioning are employed as potential load elements for evaluation *** on the presented case study and analysis of the results,it is established that the presented improved event-based non-intrusive load monitoring approach yields promising performance in the context of multi-class ***,it is also concluded that the proposed low sampling event-based non-intrusive load monitoring assisted non-invasive load-shed authentication model is a viable and promising solution for the effective implementation of demand response applications.

关键词： Non-Intrusive Load monitoring Load-Shed Authentication Demand Response machine Learning model genetic Algorithm Energy Efficiency

melting phenomenon in magneto hydro-dynamics steady flow and heat transfer over a moving surface in the presence of thermal radiation

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Physics B 2013年第3期22卷 57-62页

作者： Reda g.Abdel-rahman m.m.Khader Ahmed m.megahed Department of mathematics Faculty of ScienceBenha University

The Lie group method is applied to present an analysis of the magneto hydro-dynamics（mHD） steady laminar flow and the heat transfer from a warm laminar liquid flow to a melting moving surface in the presence of thermal *** using the Lie group method,we have presented the transformation groups for the problem apart from the scaling *** application of this method reduces the partial differential equations（PDEs） with their boundary conditions governing the flow and heat transfer to a system of nonlinear ordinary differential equations（ODEs） with appropriate boundary *** resulting nonlinear system of ODEs is solved numerically using the implicit finite difference method（FDm）.The local skin-friction coefficients and the local Nusselt numbers for different physical parameters are presented in a table.

关键词： Lie group method magneto hydro-dynamics melting phenomenon Newtonian fluid radiation

Crystal Structures, Optical, Electrical and magnetic Properties of Ca0.9Sr0.1mn1−xmoxO3 Perovskites for the Applications of multifunctional Devices

在线全文

学校读者我要写书评

暂无评论

Journal of Applied mathematics and Physics 2025年第1期13卷 61-86页

作者： Sanjana Afrin Tanvir Ahmed mithum Kumar Das mohammad majibur rahman mohammed Nazrul Islam Khan mohammad J. miah Department of Physics Comilla University Cumilla Bangladesh Department of EEE Bangladesh University of Business and Technology Dhaka Bangladesh Department of Environmental Sciences Jahangirnagar University Dhaka Bangladesh materials Science Division Bangladesh Atomic Energy Commission Dhaka Bangladesh

The standard solid-state reaction method was employed to synthesize the polycrystalline Ca0.9Sr0.1mn1−xmoxO3 (CSmmO with x = 0.00, 0.02, 0.04, 0.06, and 0.08) ceramics and each composition was sintered at 1300˚C for 4 hours. The crystal structure, microstructure, optical properties, electrical properties, complex initial permeability, and DC magnetization of the prepared compositions were carried out. The compound exhibited perovskite structure with the transformation of phase from orthorhombic symmetry for x = 0.00 to x = 0.04 samples into a tetragonal symmetry for the samples x = 0.06 and x = 0.08. The lattice constant was found to be enhanced with the doping of mo concentration. The mean grain size was estimated in the micrometer, with values from 1.3045 to 3.0124 µm. Energy band gap (Eg) was determined for each composition and the magnitudes of Eg were lying between 1.85 - 4.00 eV. The Eg values firstly decreased with the doping content up to 2% and, then, increased for 4% to 6% mo contents, where it again very slightly decreased for 8% mo content. The lowest value of Eg was obtained for the x = 0.02 composition. The FTIR spectra revealed the existence of a metal oxide band in each of the prepared samples and supported the formation of a single-phase compound of synthesized material without any impurity, as confirmed by the XRD analysis. The electrical properties, such as resistivity and AC conductivity, were collected using the Impedance analyzer at room temperature. The resistivity and AC conductivity increased with the addition of dopant concentration. The frequency-dependent conductivity spectra showed three distinct regions. The complex initial permeability (μ′) was found to be enhanced with the addition of mo and the highest value was noticed the 6% mo dopant sample. On the other hand, the lowest loss factor was obtained for the samples x ≥ 0.06. The m-H hysteresis loops of various Ca0.9Sr0.1mn1−xmoxO3 ceramics were measured both at room temperature (300 K

关键词： Perovskite Optical Band gap Conductivity Permeability DC magnetization

Roles of Superthermal Electrons and Adiabatic Heavy Ions on Heavy-Ion-Acoustic Solitary and Shock Waves in a multi-Component Plasma

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Communications in Theoretical Physics 2015年第8期64卷 208-214页

作者： m.g.Shah m.m.rahman m.R.Hossen A.A.mamun Department of Physics Jahangirnagar University Department of Natural Sciences Daffodil International University

Heavy-ion-acoustic(HIA) waves in an unmagnetized collisionless plasma system comprising superthermal electrons, Boltzmann distributed light ions, and adiabatic positively charged inertial heavy ions have been investigated both numerically and analytically. The well-known reductive perturbation method has been used to derive the Kortewegde Vries(K-d V) and Burgers(Bg) equations. The parametric regimes for the existence of both the positive and negative solitary and shock waves have been obtained. The effects of adiabaticity of heavy ions and superthermality of electrons,which are found to notably modify the fundamental features(viz. polarity, amplitude, phase speed, etc.) of HIA solitary and shock waves, are precisely studied. The results of our theoretical investigation can be applicable to understand the characteristics and basic nonlinear structures of HIA waves both in space and laboratory plasma situations.

关键词： heavy-ion acoustic waves superthermality adiabatic