检索结果-南通市图书馆

Numerical Investigation of the Pulsatile Flow of Viscous Fluid in Constricted Wall Channel with Thermal Radiation

在线全文

学校读者我要写书评

暂无评论

Advances in Applied Mathematics and Mechanics 2023年第4期15卷 1001-1022页

作者： Amjad Ali Zainab Bukhari hamayun Farooq Zaheer Abbas Centre for Advanced Studies in Pure and Applied Mathematics(CASPAM) Bahauddin Zakariya UniversityMultan 60800Pakistan Department of Mathematics Islamia University of BahawalpurBahawalpur 63100Pakistan

The main theme of the current article is to investigate the heat transfer in the pulsatile flow of an electrically conducting viscous fluid in a constricted channel under the effect of the magnetic field and thermal *** unsteady governing equations simplified for low conducting fluids are solved numerically by finite difference method using stream-vorticity function *** influence of the flow parameters such as the Hartmann number(magnetic parameter),Strouhal number(flow pulsation parameter),Prandtl number,and radiation parameter is studied on the relevant flow *** influence of different emerging parameters on the skin friction coefficient and Nusselt number are examined,as *** general,the profiles are observed to exhibit a relatively more regular pattern upstream of the construction than that downstream of the constriction.

关键词： Constricted channel pulsatileflow thermal radiation magneticﬁeld Strouhal number Prandtl number

Energy-Efficient Scheduling Based on Task Migration Policy Using DPM for Homogeneous MPSoCs

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第1期74卷 965-981页

作者： hamayun Khan Irfan Ud din Arshad Ali Sami Alshmrany Department of Electrical Engineering Faculty of Engineering&Technology Superior University Lahore54000Pakistan Department of Computer Science Faculty of Computer Science&IT Superior University Lahore54000Pakistan Faculty of Computer and Information Systems Islamic University of MadinahAl Madinah Al Munawarah42351Saudi Arabia

Increasing the life span and efficiency of Multiprocessor System on Chip(MPSoC)by reducing power and energy utilization has become a critical chip design challenge for multiprocessor *** the advancement of technology,the performance management of central processing unit(CPU)is *** densities and thermal effects are quickly increasing in multi-core embedded technologies due to shrinking of chip *** energy consumption reaches a threshold that creates a delay in complementary metal oxide semiconductor(CMOS)circuits and reduces the speed by 10%–15%because excessive on-chip temperature shortens the chip’s life *** this paper,we address the scheduling&energy utilization problem by introducing and evaluating an optimal energy-aware earliest deadline first scheduling(EA-EDF)based technique formultiprocessor environments with task migration that enhances the performance and efficiency in multiprocessor systemon-chip while lowering energy and power *** selection of core andmigration of tasks prevents the system from reaching itsmaximumenergy utilization while effectively using the dynamic power management(DPM)*** in the execution of tasks the temperature and utilization factor(u_(i))on-chip increases that dissipate more *** proposed approach migrates such tasks to the core that produces less heat and consumes less power by distributing the load on other cores to lower the temperature and optimizes the duration of idle and sleep times across multiple *** performance of the EA-EDF algorithm was evaluated by an extensive set of experiments,where excellent results were reported when compared to other current techniques,the efficacy of the proposed methodology reduces the power and energy consumption by 4.3%–4.7%on a utilization of 6%,36%&46%at 520&624 MHz operating frequency when particularly in comparison to other energy-aware methods for *** are running and accurately scheduled to make an energy-efficient

关键词： Dynamic power management dynamic voltage&frequency scaling dynamic thermal management multiprocessor system on chip complementary metal oxide semiconductor reliability

An Optimal DPM Based Energy-Aware Task Scheduling for Performance Enhancement in Embedded MPSoC

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第1期74卷 2097-2113页

作者： hamayun Khan Irfan Ud Din Arshad Ali Mohammad Husain Department of Electrical Engineering Faculty of Engineering&Technology Superior University Lahore54000Pakistan Department of Computer Science Faculty of Computer Science&IT Superior University Lahore54000Pakistan Faculty of Computer and Information Systems Islamic University of MadinahAl Madinah Al Munawarah42351Saudi Arabia

Minimizing the energy consumption to increase the life span and performance of multiprocessor system on chip(MPSoC)has become an integral chip design issue for multiprocessor *** performance measurement of computational systems is changing with the advancement in *** to shrinking and smaller chip size power densities onchip are increasing rapidly that increasing chip temperature in multi-core embedded *** operating speed of the device decreases when power consumption reaches a threshold that causes a delay in complementary metal oxide semiconductor(CMOS)circuits because high on-chip temperature adversely affects the life span of the *** this paper an energy-aware dynamic power management technique based on energy aware earliest deadline first(EA-EDF)scheduling is proposed for improving the performance and reliability by reducing energy and power consumption in the system on chip(SOC).Dynamic power management(DPM)enables MPSOC to reduce power and energy consumption by adopting a suitable core configuration for task *** migration avoids peak temperature values in the multicore *** utilization factor(ui)on central processing unit(CPU)core consumes more energy and increases the temperature *** technique switches the core bymigrating such task to a core that has less temperature and is in a low power *** proposed EA-EDF scheduling technique migrates load on different cores to attain stability in temperature among multiple cores of the CPU and optimized the duration of the idle and sleep periods to enable the low-temperature *** effectiveness of the EA-EDF approach reduces the utilization and energy consumption compared to other existing methods and *** simulation results show the improvement in performance by optimizing 4.8%on u_(i) 9%,16%,23%and 25%at 520 MHz operating frequency as compared to other energy-aware techniques for MPSoCs when the least number of tasks is in running state and can

关键词： Dynamic power management dynamic voltage&frequency scaling dynamic thermal management multiprocessor system on chip complementary metal oxide semiconductor reliability

Physicochemical characteristics of various milk samples available in Pakistan

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2008年第7期9卷 546-551页

作者： Mohammad IMRAN hamayun KHAN Syed Shah HASSAN Rasool KHAN Institute of Chemical Sciences University of Peshawar Peshawar-25120 Pakistan Department of Chemistry Kohat University of Science & Technology Kohat-26000 Pakistan

We report physicochemical characteristics of various kinds of liquid milk commercially available in Pakistan in comparison with those of fresh natural milk from animals. Milk samples were collected from local markets at Peshawar, Pakistan, and analyzed for their physical features, including moisture, total solids, specific gravity, conductivity, viscosity and titratable acidity (lactic acid equivalent), and chemical components and macro-minerals, including total protein, casein, lactose, ash and minerals (Na, K and Mg). These items were compared with the physicochemical characteristics of the fresh natural milk samples from buffalo, cow and goat. The results were also compared with reported nutritional quality of milk from various countries and World Health Organization (WHO) standards. We found that all the physical features and chemical components of commercially available milk in Pakistan markets meet WHO's requirements, except for Na, K, Ca and Mg, which are below the standards.

关键词：牛奶物理化学特征巴基斯坦可利用性

Ag-Co3O4：Synthesis,characterization and evaluation of its photo-catalytic activity towards degradation of rhodamine B dye in aqueous medium

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Chemical Engineering 2018年第6期26卷 1264-1269页

作者： Muhammad Saeed Majid Muneer Nida Mumtaz Mohsin Siddique Nadia Akram Muhammad hamayun Department of Chemisny Government College University Faisalabad Pakistan Department of Chemistry Bacha Khan University Charsadda Pakistan Department of Chemistry University of Gujrat Hafiz Hayat Campus Gujrat Pakistan

Synthesis,characterization of Co_3O_4 and Ag-Co_3O_4 composites and evaluation of their photo-catalytic activities towards photo-degradation of aqueous solution of rhodamine B dye under irradiation of visible light have been described in this ***_3O_4 was prepared by solid phase mechano chemical process using Co(NO_3)_2·6H_2O and NH_4 HCO_3 as precursor *** was deposited on Co_3O_4 from AgNO_3 using Calotropis gigantea extract as reducing ***,SEM and FTIR were used for characterization of prepared ***-catalytic efficiencies of as-prepared Co_3O_4 and Ag-Co_3O_4 were evaluated for aqueous phase photo-degradation of rhodamine *** was found that deposition of Ag on Co_3O_4 highly enhanced the photo-catalytic activity of Co_3O_***-catalytic degradation followed the Eley–Rideal *** 100% and 91% photo-degradation of 40 ml dye solution achieved at 313 K in 90 and 120 min over 0.05 g of Ag-Co_3O_4 as photo-catalyst using 100 and 200 mg·L^(-1) as initial concentration of dye respectively.

关键词：玫瑰精相片合成催化评估媒介水化学药品

Chemical composition and antioxidant activity of certain Morus species

在线全文

学校读者我要写书评

暂无评论

Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2010年第12期11卷 973-980页

作者： Mohammad IMRAN hamayun KHAN Mohibullah SHAH Rasool KHAN Faridullah KHAN Institute of Chemical Sciences University of Peshawar Department of Chemistry Islamia College University Pakistan Council of Scientific & Industrial Research (PCSIR) Laboratories Complex

In the present work,the fruits of four Morus species,namely Morus alba (white mulberry),Morus nigra (black mulberry),Morus laevigata (large white fruit),and Morus laevigata (large black fruit),were analyzed for proximate composition,essential minerals,and antioxidant *** this purpose,the ripe fruits were collected from the northern regions of *** major nutritional components moisture,ash,lipids,proteins,fibres,carbohydrates,and total sugar) were found to be in the suitable range along with good computed *** dry weight,pH,and titratable acidity (percent citric acid) were (17.60±1.94)–(21.97±2.34) mg/100 g,(3.20±0.07)–(4.78±0.15),and (0.84±0.40)%–(2.00±0.08)%,*** riboflavin (vitamin B2) and niacin (vitamin B3) contents were recorded in all the fruits,while ascorbic acid (vitamin C) was in the range from (15.20±1.25) to (17.03±1.71) mg/100 g fresh weight (FW).The mulberry fruits were rich with regard to the total phenol and alkaloid contents,having values of (880±7.20)–(1650±12.25) mg/100 g FW and (390±3.22)–(660±5.25) mg/100 g FW,*** quantities of essential macro-(K,Ca,Mg,and Na) and micro-(Fe,Zn,and Ni) elements were found in all the fruits.K was the predominant element with concentration ranging from (1270±9.36) to (1731±11.50) mg/100 g,while Ca,Na,and Mg contents were (440±3.21)–(576±7.37),(260±3.86)–(280±3.50),and (240±3.51)–(360±4.20) mg/100 g,*** decreasing order of micro-minerals was Fe>Zn>*** radical scavenging activity of methanolic extract of fruits was concentration-dependent and showed a correlation with total phenolic constituents of the respective *** on the results obtained,mulberry fruits were found to serve as a potential source of food diet and natural antioxidants.

关键词：桑树水果化学作文 2,2-diphenyl-1-picrylhydrazyl (DPPH ) 基清除活动营养的价值巴基斯坦

Studies on the Traditional Uses of Some Medicinal Shrubs of Swat Kohistan,Pakistan

在线全文

学校读者我要写书评

暂无评论

云南植物研究 2006年第6期28卷 665-668页

作者： Muhammad hamayun Sumera Afzal KHAN Department of Agronomy College of Agriculture and Life SciencesKyungpook National University Centre of Biotechnology University of Peshawar

This paper is based on an ethnobotanical project carried out in the remote Hindukush mountain region of Swat *** of the local people still rely on medicinal plants for curing different ***,the traditional use and pertinent knowledge of medicinal plants are on decline with the introduction of allopathic drugs in the study *** present study,an effort was made to document the traditional knowledge of some important medicinal shrubs of Swat *** traditional uses of 18 frequently used shrubs belonging to 12 different families were thus *** Kohistani people use these medicinal shrubs for curing multiple ailments and some of these are also exported to other parts of Pakistan.

关键词： Ethnomedicine Medicinal Shrubs Swat Kohistan Hindu-Kush mountains

MCS HOG Features and SVM Based Handwritten Digit Recognition System

在线全文

学校读者我要写书评

暂无评论

Journal of Intelligent Learning Systems and Applications 2017年第2期9卷 21-33页

作者： hamayun A. Khan Faculty of Computer Studies Arab Open University Industrial Ardiya Kuwait

Digit Recognition is an essential element of the process of scanning and converting documents into electronic format. In this work, a new Multiple-Cell Size (MCS) approach is being proposed for utilizing Histogram of Oriented Gradient (HOG) features and a Support Vector Machine (SVM) based classifier for efficient classification of Handwritten Digits. The HOG based technique is sensitive to the cell size selection used in the relevant feature extraction computations. Hence a new MCS approach has been used to perform HOG analysis and compute the HOG features. The system has been tested on the Benchmark MNIST Digit Database of handwritten digits and a classification accuracy of 99.36% has been achieved using an Independent Test set strategy. A Cross-Validation analysis of the classification system has also been performed using the 10-Fold Cross-Validation strategy and a 10-Fold classification accuracy of 99.26% has been obtained. The classification performance of the proposed system is superior to existing techniques using complex procedures since it has achieved at par or better results using simple operations in both the Feature Space and in the Classifier Space. The plots of the system’s Confusion Matrix and the Receiver Operating Characteristics (ROC) show evidence of the superior performance of the proposed new MCS HOG and SVM based digit classification system.

关键词： Handwritten Digit Recognition MNIST Benchmark Database HOG Analysis Multiple-Cell Size HOG Analysis SVM Classifier 10-Fold Cross-Validation Confusion Matrix Receiver Operating Characteristics

DM-L Based Feature Extraction and Classifier Ensemble for Object Recognition

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Signal and Information Processing 2018年第2期9卷 92-110页

作者： hamayun A. Khan Faculty of Computer Studies Arab Open University Industrial Ardiya Kuwait

Deep Learning is a powerful technique that is widely applied to Image Recognition and Natural Language Processing tasks amongst many other tasks. In this work, we propose an efficient technique to utilize pre-trained Convolutional Neural Network (CNN) architectures to extract powerful features from images for object recognition purposes. We have built on the existing concept of extending the learning from pre-trained CNNs to new databases through activations by proposing to consider multiple deep layers. We have exploited the progressive learning that happens at the various intermediate layers of the CNNs to construct Deep Multi-Layer (DM-L) based Feature Extraction vectors to achieve excellent object recognition performance. Two popular pre-trained CNN architecture models i.e. the VGG_16 and VGG_19 have been used in this work to extract the feature sets from 3 deep fully connected multiple layers namely “fc6”, “fc7” and “fc8” from inside the models for object recognition purposes. Using the Principal Component Analysis (PCA) technique, the Dimensionality of the DM-L feature vectors has been reduced to form powerful feature vectors that have been fed to an external Classifier Ensemble for classification instead of the Softmax based classification layers of the two original pre-trained CNN models. The proposed DM-L technique has been applied to the Benchmark Caltech-101 object recognition database. Conventional wisdom may suggest that feature extractions based on the deepest layer i.e. “fc8” compared to “fc6” will result in the best recognition performance but our results have proved it otherwise for the two considered models. Our experiments have revealed that for the two models under consideration, the “fc6” based feature vectors have achieved the best recognition performance. State-of-the-Art recognition performances of 91.17% and 91.35% have been achieved by utilizing the “fc6” based feature vectors for the VGG_16 and VGG_19 models respectively. The recognition p

关键词： Deep Learning Object Recognition CNN Deep Multi-Layer Feature Extraction Principal Component Analysis Classifier Ensemble Caltech-101 Benchmark Database