|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | 阳台蔬菜的栽培与虫害防治技巧显示文摘阳台蔬菜是指利用阳台或者楼顶平台比较充足的光照条件,通过以盆栽为主的栽培方式,使蔬菜在阳台进行正常生长并供人欣赏与食用的蔬菜群体。都市中的人们也可以通过阳台蔬菜的形式建造一个属于自己的迷你型菜园,在这个属于自己的迷你型菜园中,可以种植自己喜欢的蔬菜,为忙碌的人们提供了一种新的休闲方式。 | 赵瑞希 王文威 Faiz Muhammad 肖伟 | 2014 | 长江蔬菜2014，，5： | 4 |
| 2 | Simultaneous operation of dibenzothiophene hydrodesulfurization and methanol reforming reactions over Pd promoted alumina based catalysts显示文摘In the current study simultaneous reactions of hydrodesulfurization(HDS) of dibenzothiophene(DBT) and reforming of methanol in a micro-autoclave reactor were studied over bi-metallic(Co-Mo/Al2O3 and Ni-Mo/Al2O3) and tri-metallic(Pd-Co-Mo/Al2O3 and Pd-Ni-Mo/Al2O3) catalyst systems which were prepared by incipient impregnation method.In situ hydrogen utilization and low Pd loadings were the major targets of this study.For comparison purpose,catalytic activity was separately determined for both the methanol reforming and HDS of DBT reactions as well.Ni based catalysts were confirmed with better activity than Co ones for both the reactions with Pd promoted ones ranking at the top i.e.Pd-Ni-Mo/Al2O3 > Ni-Mo/Al2O3 > Pd-Co-Mo/Al2O3 > Co-Mo/Al2O3 where Pd-Ni-Mo/Al2O3 showed 91% DBT conversion at 380 ℃ and 12 h reaction time.Some of the selected organic additives on catalytic activity were tested for their effect toward HDS reaction which was unique with close relation to their chemical nature.Reaction products were quantitatively and qualitatively analyzed via HPLC and GC-MS techniques respectively which helped in elucidating reaction mechanism. | Muhammad Yaseen Muhammad Shakimllah Imtiaz Ahmad Ata Ur Rahman Faiz Ur Rahman Muhammad Usman Rauf Razzaq | 2012 | 燃料化学学报2012，40，6： | 3 |
| 3 | Location-allocation modeling for emergency evacuation planning with GIS and remote sensing:A case study of Northeast Bangladesh显示文摘This work developed models to identify optimal spatial distribution of emergency evacuation centers(EECs)such as schools,colleges,hospitals,and fire stations to improve flood emergency planning in the Sylhet region of northeastern Bangladesh.The use of location-allocation models(LAMs)for evacuation in regard to flood victims is essential to minimize disaster risk.In the first step,flood susceptibility maps were developed using machine learning models(MLMs),including:Levenberg-Marquardt back propagation(LM-BP)neural network and decision trees(DT)and multi-criteria decision making(MCDM)method.Performance of the MLMs and MCDM techniques were assessed considering the area under the receiver operating characteristic(AUROC)curve.Mathematical approaches in a geographic information system(GIS)for four well-known LAM problems affecting emergency rescue time are proposed:maximal covering location problem(MCLP),the maximize attendance(MA),p-median problem(PMP),and the location set covering problem(LSCP).The results showed that existing EECs were not optimally distributed,and that some areas were not adequately served by EECs(i.e.,not all demand points could be reached within a 60-min travel time).We concluded that the proposed models can be used to improve planning of the distribution of EECs,and that application of the models could contribute to reducing human casualties,property losses,and improve emergency operation. | Mahfuzur Rahman Ningsheng Chen MdMonirul Islam Ashraf Dewan Hamid Reza Pourghasemi Rana Muhammad AliWashakh Nirdesh Nepal Shufeng Tian Hamid Faiz Mehtab Alam Naveed Ahmed | 2021 | Geoscience Frontiers2021，12，3： | 3 |
| 4 | 哈尔滨地区汛期径流量变化趋势与复杂性分析显示文摘区域水文要素复杂性研究是当今的热点问题,为了研究哈尔滨地区汛期径流量的复杂性特征及变化趋势,将R/S分析法和等概率粗粒化LZC算法引入到区域径流复杂性分析与变化趋势预测中,对地区内10个水文站点的汛期径流序列的复杂性进行诊断并对其变化趋势进行分析。研究结果表明:哈尔滨、通河、阿城、依兰、烟囱山各站未来的汛期径流量呈减少趋势,岔林河、莲花、西北河、延寿、四平山各站未来的汛期径流量呈增长趋势;各站点汛期径流序列的复杂度由高到低依次为:四平山、烟囱山、岔林河、阿城、西北河、依兰、莲花、通河、哈尔滨、延寿;从河流集水面积对其径流长程相关性和复杂性的影响可以看出,站点的河流集水面积越大,其径流量的长程相关性越强,复杂性指数越小。研究成果揭示了本地区汛期径流量的变化趋势以及复杂性演变特征,该特征可为区域径流预测及水资源优化配置提供科学依据。 | 刘东 程晨 KHAN Muhammad Imran FAIZ Muhammad Abrar | 2017 | 华北水利水电大学学报(自然科学版)2017，38，4： | 3 |
| 5 | 一种蔬菜碱性有机栽培基质的制备方法试验显示文摘试验以含碱性金属离子的海带渣为原料进行蔬菜碱性有机栽培基质的制备,并通过辣椒种子的发芽与栽培试验来证明其作为蔬菜碱性有机栽培基质的可行性。试验结果表明,砂土与发酵后海带渣的比例为6∶1(干质量比)较为适宜,此比例配制的栽培基质,不仅能提前辣椒的出苗时间,提高发芽率,抑制猝倒病的发生,并且能最大程度地利用海带渣废弃物资源。因此,以海带渣作为蔬菜碱性有机栽培基质或者作为酸性土壤的调节基质在农业生产中具有一定的应用前景。 | 肖伟 陈珣 Aslam Muhammad Faiz Muhammad | 2014 | 长江蔬菜2014，，2： | 1 |
| 6 | Ballistic impact properties of woven bamboo-woven E-glass-unsaturated polyester hybrid composites显示文摘In this study, a laminated woven bamboo/woven E glass/unsaturated polyester composite is developed to combat a ballistic impact from bullet under shooting test. The aim of this study is to understand the fundamental effects of the woven bamboo arrangement towards increasing ballistic resistance properties. The work focusses on the ballistic limit test known as NIJ V50, which qualifies materials to be registered for use in combat armor panels. The results show that the composites withstood 482.5 m/s ± 5 limit of bullet velocity, satisfying the NIJ test at level II. The findings give a strong sound basis decision to engineers whether or not green composites are qualified to replace synthetic composites in certain engineering applications. | Aidy Ali Rabiatun Adawiyah Kannan Rassiah Wei Kuan Ng Faiz Arifin Faiz Othman Muhammad Shauqi Hazin M.K. Faidzi M.F. Abdullah M.M.H. Megat Ahmad | 2019 | Defence Technology(防务技术)2019，15，3： | 1 |
| 7 | Support-Vector-Machine-based Adaptive Scheduling in Mode 4 Communication显示文摘Vehicular ad-hoc networks(VANETs)are mobile networks that use and transfer data with vehicles as the network nodes.Thus,VANETs are essentially mobile ad-hoc networks(MANETs).They allow all the nodes to communicate and connect with one another.One of the main requirements in a VANET is to provide self-decision capability to the vehicles.Cognitive memory,which stores all the previous routes,is used by the vehicles to choose the optimal route.In networks,communication is crucial.In cellular-based vehicle-to-everything(CV2X)communication,vital information is shared using the cooperative awareness message(CAM)that is broadcast by each vehicle.Resources are allocated in a distributed manner,which is known as Mode 4 communication.The support vector machine(SVM)algorithm is used in the SVM-CV2X-M4 system proposed in this study.The k-fold model with different values of k is used to evaluate the accuracy of the SVM-CV2XM4 system.The results show that the proposed system achieves an accuracy of 99.6%.Thus,the proposed system allows vehicles to choose the optimal route and is highly convenient for users. | Muhammad Adnan Khan Ahmed Abu-Khadrah Shahan Yamin Siddiqui Taher M.Ghazal Tauqeer Faiz Munir Ahmad Sang-Woong Lee | 2022 | Computers, Materials & Continua2022，，11： | 1 |
| 8 | Environmental kuznets curve for carbon emissions in Pakistan: an empirical investigation 显示文摘 | Muhammad N Faiz U R | 2011 | Energy Policy2011，，39： | 1 |
| 9 | Contemporary Trends in Power Electronics Converters for Charging Solutions of Electric Vehicles显示文摘Electrifying the transport sector requires new possibilities for power electronics converters to attain reliable and efficient charging solutions for electric vehicles(EVs).With the continuous development in power electronics converters,the desire to reduce gasoline consumption and to increase the battery capacity for more electric range is achievable for EVs in the near future.The main interface between the power network and EV battery system is a power electronics converter,therefore,there is a considerable need of new power converters with low cost and high reliability for the advance charging mechanism of EVs.The rapid growth in power converter topologies brings substantial opportunities in EV charging process.In view of this fact,this paper investigates the significant aspects,current progress,and challenges associated with several power converters to suggest further improvements in charging systems of EVs.In particular,an extensive analysis of front-end as well as back-end converter configurations is presented.Moreover,the comparative properties of resonant converter topologies along with other DCDC converters are discussed in detail.Additionally,isolated,and non-isolated topologies with soft switching techniques are classified and rigorously analyzed with a view to their respective issues and benefits.It is foreseen that this paper would be a valuable addition and a worthy source of information for researchers exploring the area of power converter topologies for charging solutions of EVs. | Salman Habib Muhammad Mansoor Khan Farukh Abbas Abdar Ali Muhammad Talib Faiz Farheen Ehsan Houjun Tang | 2020 | CSEE Journal of Power and Energy Systems2020，6，4： | 1 |
| 10 | Human Behavior Classification Using Geometrical Features of Skeleton and Support Vector Machines显示文摘Classification of human actions under video surveillance is gaining a lot of attention from computer vision researchers.In this paper,we have presented methodology to recognize human behavior in thin crowd which may be very helpful in surveillance.Research have mostly focused the problem of human detection in thin crowd,overall behavior of the crowd and actions of individuals in video sequences.Vision based Human behavior modeling is a complex task as it involves human detection,tracking,classifying normal and abnormal behavior.The proposed methodology takes input video and applies Gaussian based segmentation technique followed by post processing through presenting hole filling algorithm i.e.,fill hole inside objects algorithm.Human detection is performed by presenting human detection algorithm and then geometrical features from human skeleton are extracted using feature extraction algorithm.The classification task is achieved using binary and multi class support vector machines.The proposed technique is validated through accuracy,precision,recall and F-measure metrics. | Syed Muhammad Saqlain Shah Tahir Afzal Malik Robina khatoon SyedSaqlain Hassan Faiz Ali Shah | 2019 | Computers, Materials & Continua2019，，8： | 1 |
| 11 | Environmental Kuznets Curve for Carbon Emissions in Pakistan:An Empirical Investigation显示文摘 | Muhammad Nasir Faiz Ur Rehman | 2011 | Energy Policy2011，，39： | 1 |
| 12 | Environmental kuznets curve for car- bon emissions in Pakistan:an empirical investigation显示文摘 | Muhammad N Faiz U R | 2011 | Energy Policy2011，，39： | 1 |
| 13 | Isolation and Expression Analysis of FTZ-F1 Encoding Gene of Black Rock Fish (Sebastes schlegelii)显示文摘Sex related FTZ-F1 is a transcriptional factor regulating the expression of fushi tarazu (a member of the orphan nuclear receptors) gene. In this study, FTZ-F1 gene (FTZ-F1) was isolated from the testis of black rockfish (Sebastes schlegeli) by homology cloning. The full-length cDNA of S. schlegeli FTZ-F1 (ssFTZ-F1) contained a 232bp 5′UTR, a 1449bp ORF encoding FTZ-F1 (482 amino acid residules in length) with an estimated molecular weight of 5.4kD and a 105bp 3′UTR. Sequence, tissue distribution and phylogenic analysis showed that ssFTZ-F1 belonged to FTZ group, holding highly conserved regions including Ⅰ, Ⅱ and Ⅲ FTZ-F1 boxes and an AF-2 hexamer. Relatively high expression was observed at different larva stages. In juveniles (105 days old), the transcript of ssFTZ-F1 can be detected in all tissues and the abuncance of the gene transcript in testis, ovary, spleen and brain was higher than that in other tissues. In mature fish, the abundance of gene transcript was higher in testis, ovary, spleen and brain than that in liver (trace amount), and the gene was not transcribed in other tissues. The highest abundance of gene transcript was always observed in gonads of both juvenile and mature fish. In addition, the abundance of gene transcript in male tissues were higher than that in female tissue counterparts (P<0.05). | Muhammad Shafi WANG Yanan ZHOU Xiaosu MA Liman Faiz Muhammad QI Jie ZHANG Quanqi | 2013 | Journal of Ocean University of China2013，12，1： | 1 |
| 14 | Novel Algorithm for Mobile Robot Path Planning in Constrained Environment显示文摘This paper presents a development of a novel path planning algorithm, called Generalized Laser simulator (GLS), for solving the mobilerobot path planning problem in a two-dimensional map with the presence ofconstraints. This approach gives the possibility to find the path for a wheelmobile robot considering some constraints during the robot movement inboth known and unknown environments. The feasible path is determinedbetween the start and goal positions by generating wave of points in alldirection towards the goal point with adhering to constraints. In simulation,the proposed method has been tested in several working environments withdifferent degrees of complexity. The results demonstrated that the proposedmethod is able to generate efficiently an optimal collision-free path. Moreover,the performance of the proposed method was compared with the A-star andlaser simulator (LS) algorithms in terms of path length, computational timeand path smoothness. The results revealed that the proposed method hasshortest path length, less computational time and the best smooth path. Asan average, GLS is faster than A∗ and LS by 7.8 and 5.5 times, respectivelyand presents a path shorter than A∗ and LS by 1.2 and 1.5 times. In orderto verify the performance of the developed method in dealing with constraints, an experimental study was carried out using a Wheeled Mobile Robot(WMR) platform in labs and roads. The experimental work investigates acomplete autonomous WMR path planning in the lab and road environmentsusing a live video streaming. Local maps were built using data from a live video streaming with real-time image processing to detect segments of theanalogous-road in lab or real-road environments. The study shows that theproposed method is able to generate shortest path and best smooth trajectoryfrom start to goal points in comparison with laser simulator. | Aisha Muhammad Mohammed A.H.Ali Sherzod Turaev Ibrahim Haruna Shanono Fadhl Hujainah Mohd Nashrul Mohd Zubir Muhammad Khairi Faiz Erma Rahayu Mohd Faizal Rawad Abdulghafor | 2022 | Computers, Materials & Continua2022，，5： | 0 |
| 15 | Influencing factors on the accuracy of local geoid model显示文摘Different modification methods and software programs were developed to obtain accurate local geoid models in the past two decades.The quantitative effect of the main factors on the accuracy of local geoid modeling is still ambiguous and has not been clearly diagnosed yet.This study presents efforts to find the most influential factors on the accuracy of the local geoid model,as well as the amount of each factor’s effect quantitatively.The methodology covers extracting the quantitative characteristics of 16 articles regarding local geoid models of different countries.The Statistical Package of Social Sciences(SPSS)software formulated a strong multiple regression model of correlation coefficient r = 0.999 with a high significance coefficient of determination R^2 = 0.997 and adjusted R^2 = 0,98 for the required effective factors.Then,factor analysis is utilized to extract the dominant factors which include:accuracy of gravity data(40%),the density of gravity data(25%)(total gravity factors is 65%),the Digital Elevation Model(DEM)resolution(16%),the accuracy of GPS/leveling points(10%)and the area of the terrain of the country/state under the study(9%).These results of this study will assist in developing more accurate local geoid models. | Shazad Jamal Jalal Tajul Ariffin Musa Ami Hassan Md Din Wan Anom Wan Aris WenBin Shen Muhammad Faiz Pa’suya | 2019 | Geodesy and Geodynamics2019，10，6： | 0 |
| 16 | Molecular epidemiology, characterization of virulence factors and antibiotic resistance profile of Streptococcus agalactiae isolated from dairy farms in China and Pakistan显示文摘Streptococcus agalactiae is one of the most common pathogens that cause bovine mastitis worldwide. Identifying pathogen prevalence and virulence factors is critical for developing prevention and control approaches. Herein, 1 161 milk samples from various dairy farms in China(n=558) and Pakistan(n=603) were collected between 2019–2021 and were subjected to S. agalactiae isolation. Prevalence, serotyping, virulence genes, and antibiotic-resistant genes of S. agalactiae were evaluated by PCR assay. All isolates were characterized for haemolysis, biofilm production, cytotoxicity, adhesion, and invasion on bovine mammary epithelial cells. The prevalence of S. agalactiae-induced mastitis in cattle was found to be considerably higher in Pakistan than in China. Jiangsu and Sindh provinces had the highest area-wise prevalence in China and Pakistan, respectively. Serotypes Ia and II were prevalent in both countries, whereas serotype III was found only in Pakistan. Moreover, all isolates tested positive for PI-2b gene but negative for PI-1 and PI-2a genes. All isolates harboured cfb, cylE, hylB, and fbsB virulent genes, whereas many of them lacked bibA, rib and bca. However, the absence of bac and scp genes in Chinese isolates and cspA in Pakistani isolates was noted, while spb1 and lmb were not detected in isolates of both countries. Pakistani isolates, particularly serotype Iapositive, had a considerably higher ability to produce biofilm, haemolysis, cytotoxicity, adhesion, and invasion than Chinese isolates. Most of the isolates were phenotypically resistant to tetracycline, erythromycin, and clindamycin and genotypic resistance was confirmed by the presence of ermA, ermB, tetM and tetO genes. Our study highlights the antimicrobial resistance profile and virulence-related factors contributing to the epidemiological spread of mastitis-causing S. agalactiae in China and Pakistan. The findings may facilitate future studies designed to develop improved treatment and control strategies against this pathogen. | Ambreen LEGHARI Shakeel Ahmed LAKHO Faiz Muhammad KHAND Khaliq ur Rehman BHUTTO Sameen Qayoom LONE Muhammad Tahir ALEEM Iqra BANO Muhammad Ali CHANDIO Jan Muhammad SHAH LIN Hui-xing FAN Hong-jie | 2023 | Journal of Integrative Agriculture2023，22，5： | 0 |
| 17 | Performance of Object Classification Using Zernike Moment显示文摘Moments have been used in all sorts of object classification systems based on image. There are lots of moments studied by many researchers in the area of object classification and one of the most preference moments is the Zernike moment. In this paper, the performance of object classification using the Zernike moment has been explored. The classifier based on neural networks has been used in this study. The results indicate the best performance in identifying the aggregate is at 91.4% with a ten orders of the Zernike moment. This encouraging result has shown that the Zernike moment is a suitable moment to be used as a feature of object classification systems. | Ariffuddin Joret Mohammad Faiz Liew Abdullah Muhammad Suhaimi Sulong Asmarashid Ponniran Siti Zuraidah Zainudin | 2014 | Journal of Electronic Science and Technology2014，12，1： | 0 |
| 18 | Extreme Wind Variability and Wind Map Development in Western Java,Indonesia显示文摘Wind-related disasters are one of the most frequent disasters in Indonesia.It can cause severe damages of residential construction,especially in the world's most populated island of Java.Understanding the characteristics of extreme winds is crucial for mitigating the disasters and for defining structural design standards.This study investigated the spatiotemporal variations of extreme winds and pioneered a design wind map in Indonesia by focusing on western Java.Based on gust data observed in recent years from 24 stations,the extreme winds exhibit a clear annual cycle where northwestern and southeastern sides of western Java show out-of-phase relationship due to reversal monsoons.Meanwhile,extreme wind occurrences are mostly affected by small-scale weather systems,regardless of seasons and locations.To build the wind map,we used bias-corrected gust from ERA5 and applied the Gumbel method to predict extreme winds with different return periods.The wind map highlights some drawbacks of the current national design standards,which use single wind speed values regardless of location and return period.Beside a fundamental improvement for wind design,this study will benefit disaster risk mapping and other applications that require extreme wind speed distribution. | Muhammad Rais Abdillah Prasanti Widyasih Sarli Hafidz Rizky Firmansyah Anjar Dimara Sakti Faiz Rohman Fajary Robi Muharsyah Gian Gardian Sudarman | 2022 | International Journal of Disaster Risk Science2022，13，3： | 0 |
| 19 | Zero group velocity longitudinal modes in an isotropic cylinder显示文摘Zero group velocity(ZGV) modes are studied in an isotropic cylinder. The L(0, 2) mode behaves anomalously for the mater√ials with a value of the bulk velocity ratio, κ,in the range ^(1/2)< κ < 2.64 and normally otherwise. All higher modes, except the first few, have no ZGV point for all isotropic materials. This is explained analytically by finding the slope of phase velocity dispersion curves of modes first when the phase velocity equals κ and then at their initial state. | Takasar Hussain Faiz Ahmad Muhammad Ozair | 2018 | Acta Mechanica Sinica2018，34，3： | 0 |
| 20 | A Cascaded Design of Best Features Selection for Fruit Diseases Recognition显示文摘Fruit diseases seriously affect the production of the agricultural sector,which builds financial pressure on the country’s economy.The manual inspection of fruit diseases is a chaotic process that is both time and cost-consuming since it involves an accurate manual inspection by an expert.Hence,it is essential that an automated computerised approach is developed to recognise fruit diseases based on leaf images.According to the literature,many automated methods have been developed for the recognition of fruit diseases at the early stage.However,these techniques still face some challenges,such as the similar symptoms of different fruit diseases and the selection of irrelevant features.Image processing and deep learning techniques have been extremely successful in the last decade,but there is still room for improvement due to these challenges.Therefore,we propose a novel computerised approach in this work using deep learning and featuring an ant colony optimisation(ACO)based selection.The proposed method consists of four fundamental steps:data augmentation to solve the imbalanced dataset,fine-tuned pretrained deep learning models(NasNetMobile andMobileNet-V2),the fusion of extracted deep features using matrix length,and finally,a selection of the best features using a hybrid ACO and a Neighbourhood Component Analysis(NCA).The best-selected features were eventually passed to many classifiers for final recognition.The experimental process involved an augmented dataset and achieved an average accuracy of 99.7%.Comparison with existing techniques showed that the proposed method was effective. | Faiz Ali Shah Muhammad Attique Khan Muhammad Sharif Usman Tariq Aimal Khan Seifedine Kadry Orawit Thinnukool | 2022 | Computers, Materials & Continua2022，，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员