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Muhammad Tanveer Riaz
Department of Mechanical, Mechatronics and Manufacturing Engineering, Faisalabad Campus, University of Engineering & Technology (UET) Lahore, Faisalabad 38000, Pakistan

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Journal article
Published: 31 May 2021 in Electronics
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The study proposed the classification and recognition of hand gestures using electromyography (EMG) signals for controlling the upper limb prosthesis. In this research, the EMG signals were measured through an embedded system by wearing a band of MYO gesture control. In order to observe the behavior of these change movements, the EMG data was acquired from 10 healthy subjects (five male and five females) performing four upper limb movements. After extracting EMG data from MYO, the supervised classification approach was applied to recognize the different hand movements. The classification was performed with a 5-fold cross-validation technique under the supervision of Quadratic discriminant analysis (QDA), support vector machine (SVM), random forest, gradient boosted, ensemble (bagged tree), and ensemble (subspace K-Nearest Neighbors) classifier. The execution of these classifiers shows the overall accuracy of 83.9% in the case of ensemble (bagged tree) which is higher than other classifiers. Additionally, in this research an embedded system-based classification approach of hand movement was used for designing an upper limb prosthesis. This approach is different than previous techniques as MYO is used with an external Bluetooth module and different libraries that make its movement and performance boundless. The results of this study also inferred the operations which were easy for hand recognition and can be used for developing a powerful, efficient, and flexible prosthetic design in the future.

ACS Style

Haider Javaid; Mohsin Tiwana; Ahmed Alsanad; Javaid Iqbal; Muhammad Riaz; Saeed Ahmad; Faisal Almisned. Classification of Hand Movements Using MYO Armband on an Embedded Platform. Electronics 2021, 10, 1322 .

AMA Style

Haider Javaid, Mohsin Tiwana, Ahmed Alsanad, Javaid Iqbal, Muhammad Riaz, Saeed Ahmad, Faisal Almisned. Classification of Hand Movements Using MYO Armband on an Embedded Platform. Electronics. 2021; 10 (11):1322.

Chicago/Turabian Style

Haider Javaid; Mohsin Tiwana; Ahmed Alsanad; Javaid Iqbal; Muhammad Riaz; Saeed Ahmad; Faisal Almisned. 2021. "Classification of Hand Movements Using MYO Armband on an Embedded Platform." Electronics 10, no. 11: 1322.

Article
Published: 24 January 2021 in Journal of Materials Science: Materials in Electronics
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The progress of perovskite solar cell (PSC) technology is held back due to the presence of anomalous hysteresis in its current–voltage (J–V) characteristics. Understanding the physical origin of J–V hysteresis is crucial for the development of hysteresis-free solar cell. We computationally explore the relative contribution of dominant physical phenomenon that could cause hysteresis in PSC. We explore that accumulation of mobile ions at the interfaces of the cell inside perovskite produces a space charge which in combination with charge trapping/detrapping in deep traps results in hysteresis which is often characterized by an S shaped behavior of J–V curve. We further explore that shallow traps at the interfaces of carrier-extraction layers alone exhibit the combined effects of ion accumulation and deep charge traps, and lead to J–V hysteresis in PSCs. Moreover, we investigate the effect of energy level of deep/shallow traps and show that the energy level of deep/shallow traps plays an important role in J–V characteristics of the cell. Lastly, we explore that high minority carrier lifetime in the bulk of the perovskite mitigates the effects of ion accumulation and/or charge trapping/detrapping and leads to hysteresis-free cell. The results presented in this work are beneficial for the development of hysteresis-free PSCs.

ACS Style

Usama Bin Qasim; Hassan Bin Qasim; Muhammad Mohsin Saeed; Muhammad Hussnain Riaz; Hassan Imran. Investigating physical origin of dominant hysteresis phenomenon in perovskite solar cell. Journal of Materials Science: Materials in Electronics 2021, 32, 5274 -5285.

AMA Style

Usama Bin Qasim, Hassan Bin Qasim, Muhammad Mohsin Saeed, Muhammad Hussnain Riaz, Hassan Imran. Investigating physical origin of dominant hysteresis phenomenon in perovskite solar cell. Journal of Materials Science: Materials in Electronics. 2021; 32 (4):5274-5285.

Chicago/Turabian Style

Usama Bin Qasim; Hassan Bin Qasim; Muhammad Mohsin Saeed; Muhammad Hussnain Riaz; Hassan Imran. 2021. "Investigating physical origin of dominant hysteresis phenomenon in perovskite solar cell." Journal of Materials Science: Materials in Electronics 32, no. 4: 5274-5285.

Journal article
Published: 21 January 2021 in IEEE Journal of Photovoltaics
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Agrivoltaics (AV) is an innovative approach in which solar photovoltaic (PV) energy generation is collocated with agricultural production to enable food–energy–water synergies and landscape ecological conservation. This dual-use requirement leads to unique cooptimization challenges ( e.g., shading, soiling, and spacing) that make module technology and farm topology choices distinctly different from the traditional solar farms. Here, we compare the performance of the traditional optimally titled North/South ( N/S )-faced monofacial farms with a potential alternative based on vertical East/West ( E/W )-faced bifacial farms. Remarkably, the vertical farm produces essentially the same energy output and photosynthetically active radiation ( PAR ) compared with the traditional farms as long as the PV array density is reduced to half or lower relative to that for the standard ground-mounted PV farms. Our results explain the relative merits of the traditional monofacial versus vertical bifacial farms as a function of array density, acceptable PAR deficit, and energy production. The combined PAR /Energy yields for the vertical bifacial farm may not always be superior, it could still be an attractive choice for AV due to its distinct advantages such as minimum land coverage, least hindrance to the farm machinery and rainfall, inherent resilience to PV soiling, easier cleaning, and cost advantages due to the potentially reduced elevation.

ACS Style

Muhammad Hussnain Riaz; Hassan Imran; Rehan Younas; Muhammad Ashraful Alam; Nauman Zafar Butt. Module Technology for Agrivoltaics: Vertical Bifacial Versus Tilted Monofacial Farms. IEEE Journal of Photovoltaics 2021, 11, 469 -477.

AMA Style

Muhammad Hussnain Riaz, Hassan Imran, Rehan Younas, Muhammad Ashraful Alam, Nauman Zafar Butt. Module Technology for Agrivoltaics: Vertical Bifacial Versus Tilted Monofacial Farms. IEEE Journal of Photovoltaics. 2021; 11 (2):469-477.

Chicago/Turabian Style

Muhammad Hussnain Riaz; Hassan Imran; Rehan Younas; Muhammad Ashraful Alam; Nauman Zafar Butt. 2021. "Module Technology for Agrivoltaics: Vertical Bifacial Versus Tilted Monofacial Farms." IEEE Journal of Photovoltaics 11, no. 2: 469-477.

Journal article
Published: 04 November 2020 in IEEE Access
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The software organizations rapidly adopting global software development (GSD) to gain the economic and strategic benefits. Besides, GSD faces many challenges that mainly concerned with the requirements change management (RCM). This study aims to identify and empirically validate the factors that can negatively influence the RCM process in GSD. To this end, literature review and questionnaire survey were conducted for the investigation and validation of RCM challenges. A total of 31 RCM challenges were identified. We have further classified the identified challenges in organization types, organization size and based on experts’ opinions with the aim to provide a clear understanding of the RCM process and its challenges to the practitioners. Based on these identified challenges, we believe that this study can provide a framework for tackling problems associated with RCM activities in GSD environment, which is significant to success and progression of GSD organizations.

ACS Style

Muhammad Azeem Akbar; Wishal Naveed; Abeer Abdulaziz Alsanad; Lulwah Alsuwaidan; Ahmed Alsanad; Abdu Gumaei; Muhammad Shafiq; Muhammad Tanveer Riaz. Requirements Change Management Challenges of Global Software Development: An Empirical Investigation. IEEE Access 2020, 8, 203070 -203085.

AMA Style

Muhammad Azeem Akbar, Wishal Naveed, Abeer Abdulaziz Alsanad, Lulwah Alsuwaidan, Ahmed Alsanad, Abdu Gumaei, Muhammad Shafiq, Muhammad Tanveer Riaz. Requirements Change Management Challenges of Global Software Development: An Empirical Investigation. IEEE Access. 2020; 8 (99):203070-203085.

Chicago/Turabian Style

Muhammad Azeem Akbar; Wishal Naveed; Abeer Abdulaziz Alsanad; Lulwah Alsuwaidan; Ahmed Alsanad; Abdu Gumaei; Muhammad Shafiq; Muhammad Tanveer Riaz. 2020. "Requirements Change Management Challenges of Global Software Development: An Empirical Investigation." IEEE Access 8, no. 99: 203070-203085.

Journal article
Published: 12 October 2020 in IEEE Access
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The software organizations widely consider the cloud based global software development (CGSD) as it offer the quality projects with low cast. The adoption of CGSD is challenging due to the geographical distance between practitioners. This study aims to identify and analyses the motivators that could positively impact the implementation of CGSD paradigm. The systematic literature review approach was applied to identify the CGSD motivators reported in the literature, and were further validated with industry experts using questionnaire survey study. Moreover, the fuzzy-AHP approach was applied to prioritize the investigated motivators concerning their significance for the successful adoption of CGSD. The findings of the study provide the prioritization-based taxonomy of the investigated motivators that assists the software organizations to develop and revise their strategies for the successful implementation of CGSD.

ACS Style

Muhammad Azeem Akbar; Hussain Alsalman; Arif Ali Khan; Sajjad Mahmood; Chandrashekhar Meshram; Abdu H. Gumaei; Muhammad Tanveer Riaz. Multicriteria Decision Making Taxonomy of Cloud-Based Global Software Development Motivators. IEEE Access 2020, 8, 185290 -185310.

AMA Style

Muhammad Azeem Akbar, Hussain Alsalman, Arif Ali Khan, Sajjad Mahmood, Chandrashekhar Meshram, Abdu H. Gumaei, Muhammad Tanveer Riaz. Multicriteria Decision Making Taxonomy of Cloud-Based Global Software Development Motivators. IEEE Access. 2020; 8 (99):185290-185310.

Chicago/Turabian Style

Muhammad Azeem Akbar; Hussain Alsalman; Arif Ali Khan; Sajjad Mahmood; Chandrashekhar Meshram; Abdu H. Gumaei; Muhammad Tanveer Riaz. 2020. "Multicriteria Decision Making Taxonomy of Cloud-Based Global Software Development Motivators." IEEE Access 8, no. 99: 185290-185310.

Journal article
Published: 01 January 2020 in IEEE Access
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ACS Style

Muhammad Azeem Akbar; Sajjad Mahmood; Hussain Alsalman; Abdul Razzaq; Abdu Gumaei; Muhammad Tanveer Riaz. Identification and Prioritization of Cloud Based Global Software Development Best Practices. IEEE Access 2020, 8, 191242 -191262.

AMA Style

Muhammad Azeem Akbar, Sajjad Mahmood, Hussain Alsalman, Abdul Razzaq, Abdu Gumaei, Muhammad Tanveer Riaz. Identification and Prioritization of Cloud Based Global Software Development Best Practices. IEEE Access. 2020; 8 ():191242-191262.

Chicago/Turabian Style

Muhammad Azeem Akbar; Sajjad Mahmood; Hussain Alsalman; Abdul Razzaq; Abdu Gumaei; Muhammad Tanveer Riaz. 2020. "Identification and Prioritization of Cloud Based Global Software Development Best Practices." IEEE Access 8, no. : 191242-191262.

Journal article
Published: 08 March 2019 in Energies
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Two technology opportunities, integration of renewable energy sources and the electrification of vehicles are being encouraged to reduce dependency on fossil fuels and pollution problems. Nevertheless, the huge increase of plug-in hybrid electric vehicles (PHEVs) on roads will cause an additional load in demand, especially at rush hours, and therefore, threatens the stability of existing power grids. Considering PHEV stay for several hours in the workplace, (i.e., university), this may provide an inimitable framework to charge PHEV from wind in the workplace. This paper introduces the possibility of introducing intelligent control of wind power and battery storage units as supplementary power sources for future PHEV charging demands during rush hours. The operation of the proposed algorithm is based on the priority levels of PHEVs charging, and fluctuations in DC link voltage levels due to the variation in wind speed. The priorities of PHEVs charging are developed according to their power requirements, maximum rating of distribution transformer and park duration of PHEVs in the workplace during wind speed. Various non-isolated proportional–integral controllers and improved intelligent fuzzy control are used to keep a minimum critical DC link voltage to permit the power conditioning system to operate a charging station uninterruptedly, even at low wind speed. The improved intelligent fuzzy controller also contributes to minimizing the stress on the DC bus and ensures quality output power. The performance of the proposed charging station is verified for the real PHEV under real-world record of wind speed. All the energy sources, electric charging station and their controllers are designed in MATLAB/Simulink. Finally, the feasibility of proposed charging station is checked experimentally in the laboratory.

ACS Style

Syed Zulqadar Hassan; Tariq Kamal; Muhammad Tanveer Riaz; Syed Aamir Hussain Shah; Hina Gohar Ali; Muhammad Sarmad; Amir Zahoor; Muhammad Abbas Khan; Julio Pascual Miqueleiz. Intelligent Control of Wind-Assisted PHEVs Smart Charging Station. Energies 2019, 12, 909 .

AMA Style

Syed Zulqadar Hassan, Tariq Kamal, Muhammad Tanveer Riaz, Syed Aamir Hussain Shah, Hina Gohar Ali, Muhammad Sarmad, Amir Zahoor, Muhammad Abbas Khan, Julio Pascual Miqueleiz. Intelligent Control of Wind-Assisted PHEVs Smart Charging Station. Energies. 2019; 12 (5):909.

Chicago/Turabian Style

Syed Zulqadar Hassan; Tariq Kamal; Muhammad Tanveer Riaz; Syed Aamir Hussain Shah; Hina Gohar Ali; Muhammad Sarmad; Amir Zahoor; Muhammad Abbas Khan; Julio Pascual Miqueleiz. 2019. "Intelligent Control of Wind-Assisted PHEVs Smart Charging Station." Energies 12, no. 5: 909.

Journal article
Published: 22 August 2018 in Electronics
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In this study, the energy management and switching control of plug-in hybrid electric vehicles (PHEVs) in a hybrid smart micro-grid system was designed. The charging station in this research consists of real market PHEVs of different companies with different sizes. The rate of charging of PHEVs is managed via switching control to receive maximum benefits from renewable energy sources and reduce the consumption of electricity from the grid. To support the optimum utilization of sustainable power, charging time and network stability, seven scenarios were developed for different interaction among the proposed micro-grid system and PHEVs. The proposed hybrid smart micro-grid system consists of three renewable energy sources: photovoltaic (PV) array controlled via an intelligent fuzzy control maximum power point subsystem, a fuel cell stack and a microturbine set controlled by proportional integral differential/proportional integral subsystems. A hybrid energy storage system (super-capacitor, battery storage bank and hydrogen) and residential load are also included in the proposed architecture. The hybrid smart micro-grid system is checked in terms of voltage regulation, frequency deviation and total harmonic distortion (THD). It was found that these are in limits according to the international standards. The simulations verify the feasibility of the proposed system and fulfill the requirement of vehicle-to-grid and grid-to-vehicle operations in a smart grid environment.

ACS Style

Tariq Kamal; Murat Karabacak; Syed Zulqadar Hassan; Luis M. Fernández-Ramírez; Muhammad Tanveer Riaz; Muhammad Abbas Khan; Laiq Khan. Energy Management and Switching Control of PHEV Charging Stations in a Hybrid Smart Micro-Grid System. Electronics 2018, 7, 156 .

AMA Style

Tariq Kamal, Murat Karabacak, Syed Zulqadar Hassan, Luis M. Fernández-Ramírez, Muhammad Tanveer Riaz, Muhammad Abbas Khan, Laiq Khan. Energy Management and Switching Control of PHEV Charging Stations in a Hybrid Smart Micro-Grid System. Electronics. 2018; 7 (9):156.

Chicago/Turabian Style

Tariq Kamal; Murat Karabacak; Syed Zulqadar Hassan; Luis M. Fernández-Ramírez; Muhammad Tanveer Riaz; Muhammad Abbas Khan; Laiq Khan. 2018. "Energy Management and Switching Control of PHEV Charging Stations in a Hybrid Smart Micro-Grid System." Electronics 7, no. 9: 156.

Journal article
Published: 01 January 2017 in Advances in Science, Technology and Engineering Systems Journal
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ACS Style

Muhammad Tanveer Riaz; Eman Manzoor Ahmed; Fariha Durrani; Muhammad Asim Mond. Wireless Android Based Home Automation System. Advances in Science, Technology and Engineering Systems Journal 2017, 2, 234 -239.

AMA Style

Muhammad Tanveer Riaz, Eman Manzoor Ahmed, Fariha Durrani, Muhammad Asim Mond. Wireless Android Based Home Automation System. Advances in Science, Technology and Engineering Systems Journal. 2017; 2 (1):234-239.

Chicago/Turabian Style

Muhammad Tanveer Riaz; Eman Manzoor Ahmed; Fariha Durrani; Muhammad Asim Mond. 2017. "Wireless Android Based Home Automation System." Advances in Science, Technology and Engineering Systems Journal 2, no. 1: 234-239.