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- 저자 : Sheeraz, Muhammad (검색결과 39 건)
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Influence of post-annealing on Mn-doped (K0.5Na0.5)NbO3 thin films
Sheeraz Muhammad,Nguyen Bich Thuy,한형수,Bae Jong-Seong,Cho Shinuk,Kim Tae Heon,Ahn Chang Won,김일원 한국물리학회 2022 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.80 No.7
In this work, we synthesized the Mn-doped ( K0.5Na0.5)NbO3 (KNMN) thin films via RF-magnetron sputtering. The effect of the post-annealing temperature on the KNMN film was studied in terms of its structural, ferroelectric, and leakage current properties. We achieved a single perovskite phase in KNMN film. The crystalline quality of the KNMN film was improved further via post-annealing the thin film in the rapid temperature process (RTP), the increase in the intensity of the (100) peak as well as the identification of the additional (200) diffraction peak. The increase in the ferroelectric performance and the reduction in the leakage current density of the post-annealed KNMN film were attributed to the improved crystallinity of the KNMN film. Based on the X-ray photoelectron spectroscopy results, we noticed that the effect of both the chemisorbed layer and the oxygen vacancies was weakened further, thus increasing the crystalline quality of the KNMN film due to post-annealing.
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RPSMDSM: Residential Power Scheduling and Modelling for Demand Side Management
( Sheeraz Ahmed ),( Ali Raza ),( Shahryar Shafique ),( Mukhtar Ahmad ),( M. Yousaf Ali Khan ),( Asif Nawaz ),( Rohi Tariq ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.6
In third world countries like Pakistan, the production of electricity has been quickly reduced in past years due to rely on the fossil fuel. According to a survey conducted in 2017, the overall electrical energy capacity was 22,797MW, since the electrical grids have gone too old, therefore the efficiency of grids, goes down to nearly 17000MW. Significant addition of fossil fuel, hydro and nuclear is 64.2%, 29% and 5.8% respectively in the total electricity production in Pakistan. In 2018, the demand crossed 20,223MW, compared to peak generation of 15,400 to 15,700MW as by the Ministry of Water and Power. Country faces a deficit of almost 4000MW to 5000MW for the duration of 2019 hot summer term. Focus on one aspect considering Demand Side Management (DSM) cannot oversea the reduction of gap between power demand and customer supply, which eventually leads to the issue of load shedding. Hence, a scheduling scheme is proposed in this paper called RPSMDSM that is based on selection of those appliances that need to be only Turned-On, on priority during peak hours consuming minimum energy. The Home Energy Management (HEM) system is integrated between consumer and utility and bidirectional flow is presented in the scheme. During peak hours of electricity, the RPSMDSM is capable to persuade less power consumption and accomplish productivity in load management. Simulations show that RPSMDSM scheme helps in scheduling the electricity loads from peak price to off-peak price hours. As a result, minimization in electricity cost as well as (Peak-to-Average Ratio) PAR are accomplished with sensible waiting time.
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Video Representation via Fusion of Static and Motion Features Applied to Human Activity Recognition
( Sheeraz Arif ),( Jing Wang ),( Zesong Fei ),( Fida Hussain ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.7
In human activity recognition system both static and motion information play crucial role for efficient and competitive results. Most of the existing methods are insufficient to extract video features and unable to investigate the level of contribution of both (Static and Motion) components. Our work highlights this problem and proposes Static-Motion fused features descriptor (SMFD), which intelligently leverages both static and motion features in the form of descriptor. First, static features are learned by two-stream 3D convolutional neural network. Second, trajectories are extracted by tracking key points and only those trajectories have been selected which are located in central region of the original video frame in order to to reduce irrelevant background trajectories as well computational complexity. Then, shape and motion descriptors are obtained along with key points by using SIFT flow. Next, cholesky transformation is introduced to fuse static and motion feature vectors to guarantee the equal contribution of all descriptors. Finally, Long Short-Term Memory (LSTM) network is utilized to discover long-term temporal dependencies and final prediction. To confirm the effectiveness of the proposed approach, extensive experiments have been conducted on three well-known datasets i.e. UCF101, HMDB51 and YouTube. Findings shows that the resulting recognition system is on par with state-of-the-art methods.
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Application of neural network for stormwater runoff classification from mix landuse site
( Sheeraz Memon ),( Ma. Cristina Paule ),( Raja Umer Sajjad ),( Imran Saleem ),( Seung-hoon Yu ),( Bum-yeon Lee ),( Chinzorig Sukhbaatar ),( Chang-hee Lee ) 한국물환경학회(구 한국수질보전학회) 2015 한국물환경학회·대한상하수도학회 공동 춘계학술발표회 Vol.2015 No.-
Predictive models play an important part in storm water monitoring due to impact on receiving waters and high cost for data collection. In this study, a neural network approach was used to characterize large amount of stormwater data from an outlet of multiple landuse sites including urban and construction in Korea. Out of total 400 data samples, 85% of the data was used for training the network while remaining 15% was used to test the model which is 1/7th of randomly data samples. An attempt was made using coefficient of determination and average relative error values to develop optimized network model. The results revealed that R2 for both estimation and validation varied significantly on different nodes configurations, whereas least generated average relative error for all output constituents were exhibited in the 8 hidden neurons configuration and therefore it was selected for further classification and comparison. The model performance was compared with multiple linear regression model results using R2 values and Nash coefficient. From the results, it was observed that ANN model produced better results because values of MLR were low for all of the constituents. From the findings, it can be suggested that neural network can be used for stormwater quality data.
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Sheeraz Mehboob,Ghulam Ali,Saleem Abbas,정경윤,하흥용 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.80 No.-
For the development of all-vanadium redoxflow batteries (VRFB) with high power ratings, it is verycrucial to identify the reasons that limit the kinetics of vanadium couples at the electrodes. This work,using two different electrode materials (a polyacrylonitrile-based carbon felt and a rayon-based graphitefelt), elucidates the redox reactions at the anode as performance-limiting ones through varioussophisticated physical and electrochemical analyses as well as the VRFB testings with/withouthomogeneous catalyst in the electrolytes and different electrode combinations. The electrode materialwith the properties of higher hydrophilicity arising from abundant surface oxygen functionalities andelectrical conductivity exhibit higher VRFB performance, particularly due to improved reaction kineticsat the anode. Moreover, the incorporation of catalyst, especially for the V3+/V2+ couple, results in asignificant improvement of VRFB performance by accelerating the kinetics of V3+/V2+ redox reactions aswell as mitigating the harmful effects of hydrogen evolution reactions and temperature-related effects.
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Mehboob, Sheeraz,Mehmood, Asad,Lee, Ju-Young,Shin, Hyun-Jin,Hwang, Jinyeon,Abbas, Saleem,Ha, Heung Yong The Royal Society of Chemistry 2017 Journal of Materials Chemistry A Vol.5 No.33
<▼1><P>The impact on the performance of all-vanadium redox flow batteries by tin as an electrocatalyst through <I>in situ</I> electrodeposition is investigated.</P></▼1><▼2><P>This work unfolds novel electrocatalytic effects of tin for all-vanadium redox flow batteries (VRFBs). By the introduction of Sn<SUP>2+</SUP> ions into the electrolyte, tin nanoparticles are <I>in situ</I> electrodeposited on a carbon felt electrode. The effectiveness of the two tin species (Sn<SUP>2+</SUP> and Sn<SUP>4+</SUP>) as well as their impact on the kinetics of cathode (VO2<SUP>2+</SUP>/VO2<SUP>+</SUP>) and anode (V<SUP>3+</SUP>/V<SUP>2+</SUP>) half-reactions are also evaluated comprehensively. Cyclic voltammetry reflects the excellent improvement in reaction kinetics, particularly for the anode half-reaction (<I>i.e.</I> V<SUP>3+</SUP>/V<SUP>2+</SUP> reduction) by reducing its peak potential separation from 1011 to 589 mV, owing to the deposition of tin nanoparticles in its vicinity. The electrocatalytic effects of tin cause a significant improvement in key performance parameters of voltage efficiency, energy efficiency (EE), specific discharge capacity, discharge energy density and cycling stability for VRFBs. The VRFBs employing Sn<SUP>2+</SUP> ions in the anolyte exhibit an EE of 77.3% at a high current density of 150 mA cm<SUP>−2</SUP> while the corresponding specific discharge capacity and discharge energy density are increased by 26.2 and 32.0%, respectively, as compared to the pristine system. Thus, electrolyte utilization is also increased at faster charge/discharge rates due to the reduction of overpotentials. Various characterization techniques confirm the deposition and effectiveness of tin at the electrodes. EIS studies reveal remarkable acceleration in the charge transfer process for the V<SUP>3+</SUP>/V<SUP>2+</SUP> redox couple which is considered as a performance limiting reaction for VRFBs nowadays. Therefore, the convenience in its application coupled with effectiveness for VRFBs, makes tin a commercially feasible electrocatalyst for this technology.</P></▼2>
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Mehboob, Sheeraz,Ali, Ghulam,Shin, Hyun-Jin,Hwang, Jinyeon,Abbas, Saleem,Chung, Kyung Yoon,Ha, Heung Yong Elsevier 2018 APPLIED ENERGY Vol.229 No.-
<P><B>Abstract</B></P> <P>An all-vanadium redox flow battery (VRFB) is an attractive candidate as an electrochemical energy storage system that uses conversion technology for applications that range from those requiring only a few kilowatts to those that must perform on a megawatt scale. Issues to be resolved, however, include problems with increasing the rates of charge/discharge (due to an increase in overpotentials) and cycling stability (due to the irreversibility of redox reactions at the electrodes as well as crossover of the vanadium species) that have prevented a broader market penetration of VRFB systems. One of the strategies to overcome these problems may be the introduction of electrocatalysts to the electrode surface to improve the reaction kinetics of the positive and negative redox couples, thus enabling the achievement of higher levels of power density. Therefore, carbon felt electrodes decorated with SnO<SUB>2</SUB> nanoparticles were evaluated in this study. The performance of VRFBs at a high current density of 150 mA cm<SUP>−2</SUP> with SnO<SUB>2</SUB>-deposited carbon felts returned an energy efficiency of 77.3%, with a corresponding increase in discharge capacity of 23.7% over a pristine electrode. Cycling stability of the system was also improved almost 2.7-fold compared with that of a pristine electrode at 50 mA cm<SUP>−2</SUP>. The electrocatalytic activity of SnO<SUB>2</SUB> nanoparticles facilitates a reduction in the overpotentials, which enables charge/discharge reactions at faster rates, which was confirmed by cyclic voltammetry and electrochemical impedance spectroscopy. Furthermore, confirmation of the formation of clusters of SnO<SUB>2</SUB> nanocrystals as well as their chemical and physical stability after cycling (as probed by various characterization techniques including synchrotron-based X-ray absorption) supports their feasibility as a stable, efficient and cost-effective electrocatalyst for use in VRFB systems.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Carbon felt is deposited with clusters of SnO<SUB>2</SUB> nanoparticles (3–5 nm). </LI> <LI> The SnO<SUB>2</SUB>-deposited carbon felt exhibits energy efficiency of 77.3% at 150 mA cm<SUP>−2</SUP>. </LI> <LI> Impact of SnO<SUB>2</SUB> electrocatalyst on improvement of cycling stability is also focused. </LI> <LI> Stability of electrocatalyst is probed by synchrotron radiations-based techniques. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
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Memon, Sheeraz,Go, Sunghoon,Lee, Chang-Hee Wiley (John WileySons) 2013 Water environment research Vol.85 No.3
<P>Urban land-use areas with high imperviousness, such as bridges, highways, and parking lots, are known to be responsible for relatively large amounts of stormwater runoff and high concentration of pollutants particularly in the 'first flush'. This study was conducted to determine the effect of first flush from urban land-use sites located in Yongin City, Korea, on runoff amounts and pollutant concentration. It was observed that, on most pollutant parameters, the effect was apparent when the data were analyzed qualitatively but it was relatively weak when analyzed quantitatively. A stronger effect was observed from a bridge site than from a parking lot site. Pollutant loads, washed off at 40 and 60% runoff volume, respectively, were also determined for further analysis of the first flush effect to find an improved strategy for best management practices. In this study, no correlation was observed between rainfall intensity and runoff duration with first flush effect.</P>
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