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| 1 | 应用数字信号处理器的基波相位和频率校正检测方法显示文摘提出了一种基于数字信号处理器的基波相位和频率校正检测方法,可用于电力系统中电压或电流基波分量同步信号的获取。输入信号经模/数(A/D)转换后通过频率校正环节可得到与输入信号基波分量相同角频率的信号,该信号再经初相校正环节后就可得到与输入信号基波分量同频率同初相的相位信号,从而实现对输入信号中基波分量的跟踪。该方法在一个采样周期内分别计算输入信号中基波分量的频率和相位及它们与标准信号的误差,而不需要闭环反馈,显著提高了跟踪速度,由于频率校正环节和相位校正环节的结构相同,又简化了编程。仿真和实验结果表明该检测方法不受谐波影响,跟踪精度较高,暂态响应时间小于20ms。 | 纪飞峰 Muhammad Mansoor Khan 解大 陈陈 | 2005 | 电网技术2005，29，24： | 6 |
| 2 | Evaluation of potential RNA-interference-target genes to control cotton mealybug, Phenacoccus solenopsis (Hemiptera: Pseudococcuidae)显示文摘 | Arif M. Khan Muhammad Ashfaq Azhar A. Khan Muhammad T. Naseem Shahid Mansoor | 2018 | Insect Science2018，25，5： | 5 |
| 3 | A framework for stochastic estimation of electric vehicle charging behavior for risk assessment of distribution networks显示文摘Power systems are being transformed to enhance the sustainability.This paper contributes to the knowledge regarding the operational process of future power networks by developing a realistic and stochastic charging model of electric vehicles(EVs).Large-scale integration of EVs into residential distribution networks(RDNs)is an evolving issue of paramount significance for utility operators.Unbalanced voltages prevent effective and reliable operation of RDNs.Diversified EV loads require a stochastic approach to predict EVs charging demand,consequently,a probabilistic model is developed to account several realistic aspects comprising charging time,battery capacity,driving mileage,state-of-charge,traveling frequency,charging power,and time-of-use mechanism under peak and off-peak charging strategies.An attempt is made to examine risks associated with RDNs by applying a stochastic model of EVs charging pattern.The output of EV stochastic model obtained from Monte-Carlo simulations is utilized to evaluate the power quality parameters of RDNs.The equipment capability of RDNs must be evaluated to determine the potential overloads.Performance specifications of RDNs including voltage unbalance factor,voltage behavior,domestic transformer limits and feeder losses are assessed in context to EV charging scenarios with various charging power levels at different penetration levels.Moreover,the impact assessment of EVs on RDNs is found to majorly rely on the type and location of a power network. | Salman HABIB Muhammad Mansoor KHAN Farukh ABBAS Muhammad NUMAN Yaqoob ALI Houjun TANG Xuhui YAN | 2020 | Frontiers in Energy2020，14，2： | 3 |
| 4 | Modeling PWM DC/DC converters out of basic converter units 显示文摘 | Muhammad Mansoor Khan Wu Zhi-ming | 1998 | IEEE Trans on Power Electronics1998，13，5： | 1 |
| 5 | 浅析谐波治理对生产企业经济效益的影响显示文摘非线性负载工作时会产生电力谐波。谐波的存在会使配电设备发生故障、烧毁、电力的使用效率低下,严重时造成停电影响生产,文中举例某汽车零部件制造厂由于典型非线性负载的使用,使无功补偿装置频繁烧毁.功率因数低下。承受着电力公司的巨额罚款的事件,分析了该厂谐波的典型特征,谐波造成器件损段及电力损耗。通过谐波治理后电能质量改善,功率因数提高,变压器利用学提高,分析了使用并联型有源电力滤波器进行谐波治理的效果及好处。 | 郭晓爽 Muhammad Mansoor Khan 王龙 | 2015 | UPS应用2015，0，6： | 1 |
| 6 | A case report of cecal plasmablastic lymphoma in a HIV-negative patient显示文摘 | Muhammad Mansoor Fouad Sadik Saied Alani Mohammed Babar Aslam Santhi N. Kumar Neil Sahasrabudhe Durab Khan | 2012 | European Journal of Gastroenterology & Hepatology2012，，3： | 1 |
| 7 | A novel harmonic - free power factor corrector based on T - type APF with adaptive linear neural network (ADALINE) control 显示文摘 | Yang Han Muhammad Mansoor Khan Gang Yao | 2008 | Simulation Modelling Practice and Theory2008，16，： | 1 |
| 8 | Novel Approach for a van der Pol Oscillator in the Continuous Time Domain显示文摘We investigate the continuous time domain numerical treatment of a van der Pol oscillator,applying the trial solution as an artificial feed-forward neural network model containing unknown adjustable parameters.The optimization of the network is performed by simulated annealing in an unsupervised method.The proposed scheme is tested successfully by its application in both non-stiff and stiff conditions.Its reliability and effectiveness is validated through comprehensive statistical analyses.The obtained results are in good agreement with the classical RK45 method. | Junaid Ali Khan Muhammad Asif Zahoor Raja Ijaz Mansoor Qureshi | 2011 | Chinese Physics Letters2011，28，11： | 1 |
| 9 | Stochastic Computational Approach for Complex Nonlinear Ordinary Differential Equations显示文摘We present an evolutionary computational approach for the solution of nonlinear ordinary differential equations(NLODEs).The mathematical modeling is performed by a feed-forward artificial neural network that defines an unsupervised error.The training of these networks is achieved by a hybrid intelligent algorithm,a combination of global search with genetic algorithm and local search by pattern search technique.The applicability of this approach ranges from single order NLODEs,to systems of coupled differential equations.We illustrate the method by solving a variety of model problems and present comparisons with solutions obtained by exact methods and classical numerical methods.The solution is provided on a continuous finite time interval unlike the other numerical techniques with comparable accuracy.With the advent of neuroprocessors and digital signal processors the method becomes particularly interesting due to the expected essential gains in the execution speed. | Junaid Ali Khan Muhammad Asif Zahoor Raja Ijaz Mansoor Qureshi | 2011 | Chinese Physics Letters2011，28，2： | 1 |
| 10 | 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 |
| 11 | Countrywide Survey for MERS-Coronavirus Antibodies in Dromedaries and Humans in Pakistan显示文摘Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is a zoonotic pathogen capable of causing severe respiratory disease in humans. Although dromedary camels are considered as a major reservoir host, the MERS-CoV infection dynamics in camels are not fully understood. Through surveillance in Pakistan, nasal (n = 776) and serum (n = 1050)samples were collected from camels between November 2015 and February 2018. Samples were collected from animal markets, free-roaming herds and abattoirs. An in-house ELISA was developed to detect IgG against MERS-CoV. A total of 794 camels were found seropositive for MERS-CoV. Prevalence increased with the age and the highest seroprevalence was recorded in camels aged [ 10 years (81.37%) followed by those aged 3.1–10 years (78.65%) and B 3 years (58.19%).Higher prevalence was observed in female (78.13%) as compared to male (70.70%). Of the camel nasal swabs, 22 were found to be positive by RT-qPCR though with high Ct values. Moreover, 2,409 human serum samples were also collected from four provinces of Pakistan during 2016–2017. Among the sampled population, 840 humans were camel herders.Although we found a high rate of MERS-CoV antibody positive dromedaries (75.62%) in Pakistan, no neutralizing antibodies were detected in humans with and without contact to camels. | Ali Zohaib Muhammad Saqib Muhammad Ammar Athar Jing Chen Awais-ur-Rahman Sial Saeed Khan Zeeshan Taj Halima Sadia Usman Tahir Muhammad Haleem Tayyab Muhammad Asif Qureshi Muhammad Khalid Mansoor Muhammad Ahsan Naeem Bing-Jie Hu Bilal Ahmed Khan Ikram Din Ujjan Bei Li Wei Zhang Yun Luo Yan Zhu Cecilia Waruhiu Iahtasham Khan Xing-Lou Yang Muhammad Sohail Sajid Victor Max Corman Bing Yan Zheng-Li Shi | 2018 | Virologica Sinica2018，33，5： | 1 |
| 12 | LARGE SIGNAL DISCRETE-TIME MODEL FOR PARALLELED BUCK CONVERTERS显示文摘As a number of switch combinations are involved in operation of multi converter system, conventional methods for obtaining discrete time large signal model of these converter systems result in a very complex solution. A simple sampled data technique for modeling distributed dc dc PWM converters system (DCS) was proposed. The resulting model is nonlinear and can be linearized for analysis and design of DCS. These models are also suitable for fast simulation of these networks. As the input and output of dc dc converters are slow varying, suitable model for DCS was obtained in terms of the finite order input/output approximation. | Muhammad Mansoor Khan 吴智铭 | 2002 | Journal of Shanghai Jiaotong university(Science)2002，7，1： | 0 |
| 13 | A Systematic Literature Review of Machine Learning and Deep Learning Approaches for Spectral Image Classification in Agricultural Applications Using Aerial Photography显示文摘Recently,there has been a notable surge of interest in scientific research regarding spectral images.The potential of these images to revolutionize the digital photography industry,like aerial photography through Unmanned Aerial Vehicles(UAVs),has captured considerable attention.One encouraging aspect is their combination with machine learning and deep learning algorithms,which have demonstrated remarkable outcomes in image classification.As a result of this powerful amalgamation,the adoption of spectral images has experienced exponential growth across various domains,with agriculture being one of the prominent beneficiaries.This paper presents an extensive survey encompassing multispectral and hyperspectral images,focusing on their applications for classification challenges in diverse agricultural areas,including plants,grains,fruits,and vegetables.By meticulously examining primary studies,we delve into the specific agricultural domains where multispectral and hyperspectral images have found practical use.Additionally,our attention is directed towards utilizing machine learning techniques for effectively classifying hyperspectral images within the agricultural context.The findings of our investigation reveal that deep learning and support vector machines have emerged as widely employed methods for hyperspectral image classification in agriculture.Nevertheless,we also shed light on the various issues and limitations of working with spectral images.This comprehensive analysis aims to provide valuable insights into the current state of spectral imaging in agriculture and its potential for future advancements. | Usman Khan Muhammad Khalid Khan Muhammad Ayub Latif Muhammad Naveed Muhammad Mansoor Alam Salman A.Khan Mazliham Mohd Su’ud | 2024 | Computers, Materials & Continua2024，78，3： | 0 |
| 14 | In vitro and in vivo study on fine-grained Mg-Zn-RE-Zr alloy as a biodegradeable orthopedic implant produced by friction stir processing显示文摘Magnesium alloys containing biocompatible components show tremendous promise for applications as temporary biomedical devices. However, to ensure their safe use as biodegradeable implants, it is essential to control their corrosion rates. In concentrated Mg alloys, a microgalvanic coupling between the α-Mg matrix and secondary precipitates exists which results in increased corrosion rate. To address this challenge, we engineered the microstructure of a biodegradable Mg-Zn-RE-Zr alloy by friction stir processing (FSP), improving its corrosion resistance and mechanical properties simultaneously. The FS processed alloy with refined grains and broken and uniformly distributed secondary precipitates showed a relatively uniform corrosion morphology accompanied with the formation of a stable passive layer on the alloy surface. In vivo corrosion evaluation of the processed alloy in a small animal model showed that the material was well-tolerated with no signs of inflammation or harmful by-products. Remarkably, the processed alloy supported bone until it healed till eight weeks with a low in vivo corrosion rate of 0.7 mm/year. Moreover, we analyzed blood and histology of the critical organs such as liver and kidney, which showed normal functionality and consistent ion and enzyme levels, throughout the 12- week study period. These results demonstrate that the processed Mg-Zn-RE-Zr alloy offers promising potential for osseointegration in bone tissue healing while also exhibiting controlled biodegradability due to its engineered microstructure. The results from the present study will have profound benefit for bone fracture management, particularly in pediatric and elderly patients. | Vasanth C.Shunmugasamy Marwa AbdelGawad Muhammad Umar Sohail Talal Ibrahim Talha Khan Thomas Daniel Seers Bilal Mansoor | 2023 | Bioactive Materials2023，，10： | 0 |
| 15 | Satisfactory Model Predictive Control for a Hybrid Single-phase Seven-level Converter显示文摘Today,many hybrid multilevel converters with flying capacitors are being proposed.Besides the practicality of these converters in reducing the switching devices count and the cost,it is challenging to balance their capacitor voltage charge.The unbalanced capacitors restrain the converters’performance and lead to failure in delivering the required current.This paper proposes a model predictive control(MPC)for a seven-level converter based on an active neutral point clamped converter cascaded with an H-bridge.A conventional MPC uses a single cost function with two terms,one for current tracking and the other for capacitor balancing,which needs an accurate weighting factor to balance them.In this work,the suggested MPC adopts a satisfactory optimization technique.It evaluates the capacitor charge membership to a nominal voltage range to define the degree of freedom in which to optimize the current tracking problem.This transforms the relationship between the two cost terms into a more collaborative relationship.The proposed MPC improves the output current quality and balances the capacitor charge with the least number of computations.Experimental and simulation results have validated the controller^effectiveness. | Mohamed Tamim Touati Shaoyuan Li Jing Wu Muhammad Ali Muhammad Mansoor Khan | 2021 | CSEE Journal of Power and Energy Systems2021，7，5： | 0 |
| 16 | Recent advances in titanium carbide MXene-based nanotextures with influential effect of synthesis parameters for solar CO_(2)reduction and H_(2)production:A critical review显示文摘Photocatalytic solar to energy conversion is considered an attractive approach for overcoming energy crises and environmental concerns.Recently,titanium carbide(Ti_(3)C_(2))MXenes have been recognized as promising cocatalysts based on their metallic conductivity,excessive active reaction sites,and enlarged surface area.The current review focuses on the properties and applications of Ti_(3)C_(2)MXenes useful in the field of photocatalysis.More specifically,surface modification of Ti_(3)C_(2)MXenes by varying synthesis parameters to get pure materials and also composites with the role of functional groups towards solar energy conversion applications is highlighted in this review.The effect of etching and oxidizing pathways to get an efficient cocatalyst has been discussed in detail.Considering the significant effect of parameters,optimum synthesis conditions such as etchant type,concentration,time and type of intercalant in both the Ti_(3)C_(2)synthesis approaches for improved photoactivity are discussed.Additionally,the surface modification of Ti_(3)C_(2)through oxidation for TiO2growth on its surface is deliberated with a detailed discussion on etchant type,concentration,etching time,and environmental factors.The optimum oxidation condition,including temperature,time,and environment for thermal treatment of Ti_(3)C_(2),were also included.Lastly,the review summarizes the conclusion and future perspectives for solar energy conversion applications. | Muhammad Tahir Azmat Ali Khan Sehar Tasleem Rehan Mansoor Areen Sherryna Beenish Tahir | 2023 | Journal of Energy Chemistry2023，，1： | 0 |
| 17 | Polarization state and image rotation via spontaneously generated coherence in a spinning fast light medium显示文摘In this article we propose a four-level rubidium(Rb87)atomic system for observing interesting features of polarization state rotation in a fast light medium.We investigate spontaneously generated coherence(SGC)for a spinning medium.We show how SGC can affect different spectral profiles of the polarization state and images in this suggested model.We observe a 0.5 radian rotation and 2.5 microsecond time advancement in our proposed system.Our precise results will provide a new platform for researchers in quantum optics due to its applications in image coding,telecommunications and cloaking technology. | Habibur Rahman Mansoor Khan Shabir Ahmad Muhammad Tayyab Haseena Bibi Hazrat Ali | 2020 | Communications in Theoretical Physics2020，72，11： | 0 |
| 18 | Analyzing COVID-19 Impact on the Researchers Productivity through Their Perceptions显示文摘Context:Since the end of 2019,the COVID-19 pandemic had a worst impact on world’s economy,healthcare,and education.There are several aspects where the impact of COVID-19 could be visualized.Among these,one aspect is the productivity of researcher,which plays a significant role in the success of an organization.Problem:There are several factors that could be aligned with the researcher’s productivity of each domain and whose analysis through researcher’s feedback could be beneficial for decision makers in terms of their decision making and implementation of mitigation plans for the success of an organization.Method:We perform an empirical study to investigate the substantial impact of COVID-19 on the productivity of researchers by analyzing the relevant factors through their perceptions.Our study aims to find out the impact of COVID-19 on the researcher’s productivity that are working in different fields.In this study,we conduct a questionnaire-based analysis,which included feedback of 152 researchers of certain domains.These researchers are currently involved in different research activities.Subsequently,we perform a statistical analysis to analyze the collected responses and report the findings.Findings:The results indicate the substantial impact of COVID-19 pandemics on the researcher’s productivity in terms of mental disturbance,lack of regular meetings,and field visits for the collection of primary data.Conclusion:Finally,it is concluded that researcher’s daily or weekly meetings with their supervisors and colleagues are necessary to keep them more productive in task completion.These findings would help the decision makers of an organization in the settlement of their plan for the success of an organization. | Syeda Javeria Shoukat Humaira Afzal Muhammad Rafiq Mufti Muhammad Khalid Sohail Dost Muhammad Khan Nadeem Akhtar Shahid Hussain Mansoor Ahmed | 2021 | Computers, Materials & Continua2021，，5： | 0 |
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