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Transmit Power Optimization for Relay-Aided Multi-Carrier D2D Communication

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Tsinghua Science and Technology 2018年第1期23卷 65-74页

作者： Muhammad Waqas Guftaar ahmad Sardar Sidhu Tayyaba Jabeen Muhammad Afaq ahmad Muhammad Awais javed Department of Electrical Engineering COMSATS Institute of Information Technology (CIIT) Islamabad 44000 Pakistan Transmission Department Pakistan Telecommunication Company Limited (PTCL) Islamabad 44000 Pakistan

In this paper, we consider the power optimization problem in Orthogonal Frequency Division Multiplexing （OFDM）-based relay-enhanced device-to-device （D2D） communication. In a single cell transmission scenario, dual- hop communication is assumed in which each D2D user re-uses the spectrum of just one Cellular User （CU）. In this work, we formulate a joint optimization scheme under a Decode-and-Forward （DF） relaying protocol to maximize the sum throughput of D2D and cellular networks via power allocation over different sub-carriers. The problem is thus transformed into a standard convex optimization, subject to individual power constraints at different transmitting nodes. We exploit the duality theory to decompose the problem into several sub-problems and use Karush-Kuhn- Tucker （KKT） conditions to solve each sub-problem. We provide simulation results to validate the performance of our proposed scheme.

关键词： device-to-device communication Orthogonal Frequency Division Multiplexing (OFDM) Decode-and-Forward (DF) relay transmission power optimization

On Edge Irregular Reflexive Labeling of Categorical Product of Two Paths

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Computer Systems Science & Engineering 2021年第3期36卷 485-492页

作者： Muhammad javed Azhar Khan Muhammad Ibrahim Ali ahmad Centre for Advanced Studies in Pure and Applied Mathematics Bahauddin Zakariya UniversityMultanPakistan College of Computer Science and Information Technology Jazan UniversityJazanSaudi Arabia

Among the huge diversity of ideas that show up while studying graph theory,one that has obtained a lot of popularity is the concept of labelings of *** labelings give valuable mathematical models for a wide scope of applications in high technologies(cryptography,astronomy,data security,various coding theory problems,communication networks,etc.).A labeling or a valuation of a graph is any mapping that sends a certain set of graph elements to a certain set of numbers subject to certain *** labeling is a mapping of elements of the graph,i.e.,vertex and for edges to a set of numbers(usually positive integers),called *** the domain is the vertex-set or the edge-set,the labelings are called vertex labelings or edge labelings ***,if the domain is V(G)[E(G)],then the labeling is called total labeling.A reflexive edge irregular k-labeling of graph introduced by Tanna et al.:A total labeling of graph such that for any two different edges ab and a'b'of the graph their weights has wt_(x)(ab)=x(a)+x(ab)+x(b) and wt_(x)(a'b')=x(a')+x(a'b')+x(b') are *** smallest value of k for which such labeling exist is called the reflexive edge strength of the graph and is denoted by res(G).In this paper we have found the exact value of the reflexive edge irregularity strength of the categorical product of two paths (P_(a)×P_(b))for any choice of a≥3 and b≥3.

关键词： Edge irregular reflexive labeling reflexive edge strength categorical product of two paths

A Hybrid Deep Learning Approach for Green Energy Forecasting in Asian Countries

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Computers, Materials & Continua 2024年第11期81卷 2685-2708页

作者： Tao Yan javed Rashid Muhammad Shoaib Saleem Sajjad ahmad Muhammad Faheem School of Computer Science Chengdu UniversityChengdu610106China Information Technology Services University of OkaraOkara56310Pakistan MLC Research Lab University of OkaraOkara56300Pakistan Department of Mathematics University of OkaraOkara56310Pakistan School of Technology and Innovations University of VaasaVaasa65200Finland

Electricity is essential for keeping power networks balanced between supply and demand,especially since it costs a lot to *** article talks about different deep learning methods that are used to guess how much green energy different Asian countries will *** main goal is to make reliable and accurate predictions that can help with the planning of new power plants to meet rising *** is a new deep learning model called the Green-electrical Production Ensemble(GP-Ensemble).It combines three types of neural networks:convolutional neural networks(CNNs),gated recurrent units(GRUs),and feedforward neural networks(FNNs).The model promises to improve prediction *** 1965–2023 dataset covers green energy generation statistics from ten Asian *** to the rising energy supply-demand mismatch,the primary goal is to develop the best model for predicting future power *** GP-Ensemble deep learning model outperforms individual models(GRU,FNN,and CNN)and alternative approaches such as fully convolutional networks(FCN)and other ensemble models in mean squared error(MSE),mean absolute error(MAE)and root mean squared error(RMSE)*** study enhances our ability to predict green electricity production over time,with MSE of 0.0631,MAE of 0.1754,and RMSE of *** may influence laws and enhance energy management.

关键词： Green energy advanced predictive techniques convolutional neural networks(CNNs) gated recurrent units(GRUs) deep learning for electricity prediction green-electrical production ensemble technique

Vehicle Detection in Challenging Scenes Using CenterNet Based Approach

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Computers, Materials & Continua 2023年第2期74卷 3647-3661页

作者： Ayesha Muhammad javed Iqbal Iftikhar ahmad Madini OAlassafi Ahmed SAlfakeeh Ahmed Alhomoud Department of Computer Science University of Engineering and Technology Taxila47050Pakistan Faculty of Computing and Information Technology King Abdulaziz University Jeddah21589Saudi Arabia Faculty of Computing and Information Technology Northern Border UniversityRafhaSaudi Arabia

Contemporarily numerous analysts labored in the field of Vehicle detection which improves Intelligent Transport System(ITS)and reduces road *** major obstacles in automatic detection of tiny vehicles are due to occlusion,environmental conditions,illumination,view angles and variation in size of *** research centers on tiny and partially occluded vehicle detection and identification in challenging scene specifically in crowed *** this paper we present comprehensive methodology of tiny vehicle detection using Deep Neural Networks(DNN)namely *** DNN disregards objects that are small in size 5 pixels and more false positives likely to happen in crowded *** there are two categories of deep learning models single-step and two-step.A single forward pass model is the one in which detection is performed directly to possible location over dense sampling,wherein two-step models incorporated by Region proposals followed by object *** in this research scrutinize one-step State of the art(SOTA)model CenteNet as proposed recently with three different feature extractor ResNet-50,HourGlass-104 and ResNet-101 one by *** train our model on challenging KITTI dataset which outperforms in comparison with SOTA single-step technique MSSD300∗which depicts performance improvement by 20.2%mAPandSMOKEby with 13.2%mAP *** of CenterNet can be justified through the huge improved *** performance of our model is evaluated on KITTI(Karlsruhe Institute of Technology and Toyota Technological Institute)benchmark dataset with different backbones such as ResNet-50 gives 62.3%mAP ResNet-10182.5%mAP,last but not the least HourGlass-104 outperforms with 98.2%mAP CenterNet-HourGlass-104 achieved high mAP among above mentioned feature *** also compare our model with other SOTA techniques.

关键词： CenteNet SOTA object detection deep learning MSSD SMOKE DNN KITTI

Assessment of Metals Concentration and Ecotoxicology of the Sediment Core of Rehri Creek, Karachi Coast, Pakistan

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Acta Geologica Sinica(English Edition) 2013年第5期87卷 1434-1443页

作者： Muhammad Z. CHAUDHARY Nasir ahmad Azhar MASHIATULLAH Sajjad MUNIR Tariq javed Isotope Application Division Pakistan Institute of Nuclear Science and Technology (PINSTECH) Institute of Geology University of the Punjab Department of Earth & Environmental Sciences Bahria University Islamanad

Trace metal concentrations were investigated in a recent sediment core collected from the Rehri Creek area of the Karachi coast, Sindh - Pakistan. The core was sliced horizontally at 2.5-cm intervals to determine grain size, sediment composition, pH, organic matter, and acid-leachable trace metals： cadmium, chromium, copper, lead, and zinc. The trace metals were analyzed by ICP. To separate anthropogenic from geogenic input, several approaches were made, including comparison with sediment quality guidelines--ecotoxicological sense of heavy metal contamination and classification by quantitative indexes. Grain-size analysis and sediment composition of core sample show a sandy nature with neutral pH. Elemental sequence （ES） of the trace metals is in the order of Zn （19.2-109.56 ppm）〉 Si （66.46-101.71 ppm）〉 Ba （12.05-26.86 ppm）〉 As （8.18-17.36 ppm）〉 Ni （4.2- 14.69 ppm）〉 Cr （3.02-9.62 ppm）〉 Pb （2.79-6.83 ppm）〉 Cu （2.2-5.29 ppm）〉 Co （0.9-2.05 ppm）. Thus it is likely that the area may face a serious threat of metal pollution with the present deposition rates unless stringent pollution control norms are adopted. The Sediment Geo-accumulation Index shows that there is no Cr, Cu, Ni, Pb, Zn, or Fe pollution; however, the former index and the Pollution Load Index indicate arsenic pollution in the sediments.

关键词： trace elements lake sedimentation sediment quality guidelines pollution shale values

Doping Induced Tailoring in the Morphology,Band-Gap and Ferromagnetic Properties of Biocompatible ZnO Nanowires, Nanorods and Nanoparticles

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Nano-Micro Letters 2014年第3期6卷 242-251页

作者： javed Iqbal Tariq Jan Yu Ronghai Sa jjad Haider Naqvi Ishaq ahmad Laboratory of Advanced Materials Department of Material Science and Engineering Tsinghua University Laboratory of Nanoscience and Technology Department of Physics International Islamic University Islamabad School of Materials Science and Engineering Beihang University Karachi University Nanational Center for Physics (NCP) Quaid-i-Azam University

The modification of nanostructured materials is of great interest due to controllable and unusual inherent properties in such materials. Single phase Fe doped Zn O nanostructures have been fabricated through simple, versatile and quick low temperature solution route with reproducible results. The amount of Fe dopant is found to play a significant role for the growth of crystal dimension. The effect of changes in the morphology can be obviously observed in the structural and micro-structural investigations, which may be due to a driving force induced by dipole-dipole interaction. The band gap of Zn O nanostructures is highly shifted towards the visible range with increase of Fe contents, while ferromagnetic properties have been significantly *** prepared nanostructures have been found to be nontoxic to SH-SY5 Y Cells. The present study clearly indicates that the Fe doping provides an effective way of tailoring the crystal dimension, optical band-gap and ferromagnetic properties of Zn O nanostructure-materials with nontoxic nature, which make them potential for visible light activated photocatalyst to overcome environmental pollution, fabricate spintronics devices and biosafe drug delivery agent.

关键词： ZnO Fe doping Dipole-dipole interaction Band-gap tailoring Ferromagnetism Cytotoxicity

Visual object tracking- classical and contemporary approaches

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Frontiers of Computer Science 2016年第1期10卷 167-188页

作者： ahmad ALI Abdul JALIL Jianwei NIU Xiaoke ZHAO Saima RATHORE javed AHMED Muhammad AKSAM IFTIKHAR Department of Computer and Information Sciences Pakistan Institute of Engineering & Applied Sciences Islamabad 44000 Pakistan State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beijing 100191 China Department of Electrical (Telecom) Engineering NUST Military College of Signals Islamabad 44000 Pakistan COMSATS Institute of Information Technology Lahore 54000 Pakistan

Visual object tracking （VOT） is an important sub- field of computer vision. It has widespread application do- mains, and has been considered as an important part of surveillance and security system. VOA facilitates finding the position of target in image coordinates of video frames. While doing this, VOA also faces many challenges such as noise, clutter, occlusion, rapid change in object appearances, highly maneuvered （complex） object motion, illumination changes. In recent years, VOT has made significant progress due to availability of low-cost high-quality video cameras as well as fast computational resources, and many modern techniques have been proposed to handle the challenges faced by VOT. This article introduces the readers to 1） VOT and its applica- tions in other domains, 2） different issues which arise in it, 3） various classical as well as contemporary approaches for object tracking, 4） evaluation methodologies for VOT, and 5） online resources, i.e., annotated datasets and source code available for various tracking techniques.

关键词： visual object tracking computer vision imageprocessing point tracking kernel tracking silhouette track-ing

Optimized Predictive Framework for Healthcare Through Deep Learning

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Computers, Materials & Continua 2021年第5期67卷 2463-2480页

作者： Yasir Shahzad Huma javed Haleem Farman Jamil ahmad Bilal Jan Abdelmohsen A.Nassani Department of Computer Science University of PeshawarPeshawar25120Pakistan Department of Computer Science Islamia College PeshawarPeshawar25120Pakistan Department of Computer Science FATA UniversityKohat26100Pakistan Department of Management College of Business AdministrationKing Saud UniversityRiyadhSaudi Arabia

Smart healthcare integrates an advanced wave of information technology using smart devices to collect health-related medical science *** data usually exist in unstructured,noisy,incomplete,and heterogeneous *** these limitations remains an open challenge in deep learning to classify health *** this paper,a long short-term memory(LSTM)based health condition prediction framework is proposed to rectify imbalanced and noisy data and transform it into a useful form to predict accurate health *** imbalanced and scarce data is normalized through coding to gain consistency for accurate results using synthetic minority oversampling *** proposed model is optimized and ne-tuned in an end to end manner to select ideal parameters using tree parzen estimator to build a probabilistic *** patient’s medication is pigeonholed to plot the diabetic condition’s risk factor through an algorithm to classify blood glucose metrics using a modern surveillance error grid *** proposed model can efciently train,validate,and test noisy data by obtaining consistent results around 90%over the state of the art machine and deep learning techniques and overcoming the insufciency in training data through transfer *** overall results of the proposed model are further tested with secondary datasets to verify model sustainability.

关键词： Recurrent neural network long short-term memory deep learning Bayesian optimization surveillance error grid hyperparameter

PtCu dendroframe octahedrons:Enhancing peroxidase-like activity and antibacterial efficiency through structural evolution

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Nano Research 2025年第1期18卷 100-106页

作者： Ri Feng Jiuyi Hu Liangjun Wang Jiayu Xu Jiajia Li Zeeshan ahmad Shaohui Zheng Muhammad Farhan Farid Wenjing Liu Faisal Saleem Key Laboratory of Flexible Electronics(KLOFE) Institute of Advanced Materials(IAM)and School of Flexible Electronics(Future Technologies)Nanjing Tech UniversityNanjing 211816China

Nanozymes,which possess enzyme-like catalytic activity,are attractive alternatives to natural *** activity is largely dependent on the structure of the ***,challenges remain in optimizing the structure-activity *** work explores the synthesis and utilization of PtCu nanostructures(NSs),focusing on their peroxidase(POD)-like properties and their potential as antibacterial *** developed PtCu dendrites that transform into unique dendroframe octahedrons(DFOs)and subsequently stabilize into solid octahedrons with unusual growth *** intermediate DFO,showed higher POD-like activity in comparison to other shapes of PtCu *** DFOs also have the better ability to consume glutathione,thus enhancing their sterilization ***,we demonstrate the effectiveness of these PtCu DFOs as powerful antibacterial *** work provides valuable information on shape dependent activities of PtCu NSs in the field of biomedicine.

关键词： nanozymes antibacterials peroxidase PtCu dendroframe octahedrons dendrites