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Distributed Incremental Approximate Frequent Itemset Mining Using MapReduce
Mohsin Shaikh,Irfan Ali Tunio,Syed Muhammad Shehram Shah,Fareesa Khan Sohu,Abdul Aziz,Ahmad Ali International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.5
Traditional methods for datamining typically assume that the data is small, centralized, memory resident and static. But this assumption is no longer acceptable, because datasets are growing very fast hence becoming huge from time to time. There is fast growing need to manage data with efficient mining algorithms. In such a scenario it is inevitable to carry out data mining in a distributed environment and Frequent Itemset Mining (FIM) is no exception. Thus, the need of an efficient incremental mining algorithm arises. We propose the Distributed Incremental Approximate Frequent Itemset Mining (DIAFIM) which is an incremental FIM algorithm and works on the distributed parallel MapReduce environment. The key contribution of this research is devising an incremental mining algorithm that works on the distributed parallel MapReduce environment.
Mechanical and Biodegradable Properties of Jute/Flax Reinforced PLA Composites
Mohsin Ejaz,Muhammad Muzammil Azad,Atta Ur Rehman Shah,S. Kamran Afaq,Jung-il Song 한국섬유공학회 2020 Fibers and polymers Vol.21 No.11
Green composites possessing biodegradable or recyclable characteristics have gained interest in recent years dueto their ecofriendly, sustainable and lightweight characteristics over the conventional plastic-based materials. In this study,flax and jute natural fibers have been used individually and as hybrid reinforcement into Poly Lactic Acid (PLA) matrix. Thecomposites developed are suitable to be used in biodegradable products in packaging and automobile industries. Hot presscompression molding was used to fabricate samples of PLA/flax, PLA/jute and PLA/flax/jute (hybrid composites). Theconcentration of natural fibers in individual fiber-based composites was varied (between 0-50 %) by weight to investigate itseffect on tensile and impact properties. Maximum tensile properties were obtained for 40 wt% single-fiber reinforced intoPLA. This reinforcement content (40 wt%) was used as reference for hybrid composites. Hybrid composites were fabricatedwith different combinations of jute and flax fibers by keeping the total concentration of reinforcement equal to 40 % byweight. Tensile and Charpy impact tests were performed to evaluate the mechanical properties of the composites. ScanningElectron Microscopy of the tensile fractured surfaces was performed to observe the failure mechanism and adhesion at fibermatrixinterfaces in the composites. Further characterizations included Fourier Transform Infra-Red spectroscopy andBiodegradability tests, which were performed according to ASTM standards. Fourier Transform Infrared analysis revealedinteraction between the natural fibers (jute and flax) and PLA matrix in hybrid composites. The enhanced interaction inhybrid composites resulted in their improved impact resistance. Based on the results obtained in this study, the improvedmechanical and biodegradable properties of these composites make it suitable for use in applications like food-packaging andindoor plastic products in automobiles, to reduce synthetic plastic pollution.
Broad Dual-band Metamaterial Filter with Sharp Out-of-band Rejections
Qi, Limei,Shah, Syed Mohsin Ali Optical Society of Korea 2018 Current Optics and Photonics Vol.2 No.6
A broad dual-band terahertz metamaterial filter with sharp out-of-band rejections is designed and demonstrated. The center frequencies of the first and the second bands occur at 0.35 THz and 0.96 THz with 3 dB relative bandwidth of 31% and 17%, respectively. Results are measured using a THz time-domain spectroscopy system that shows agreement with simulations. Physical mechanisms of the broad dual-band resonance are clarified based on transmissions of different structures and surface current density distributions. Influence of structure parameters on the transmission characteristics are discussed. Symmetry of the structure ensures the filter polarization independence at normal incidence. These results supported by the design of the filter could find applications in broad multi-band sensors, terahertz communication systems, and other emerging terahertz technologies.
Sarim Ahmed,Hassan Mohsin,Kamran Qureshi,Ajmal Shah,Waseem Siddique,Khalid Waheed,Naseem Irfan,Masroor Ahmad,Amjad Farooq 한국원자력학회 2018 Nuclear Engineering and Technology Vol.50 No.5
A venturi scrubber is an important element of Filtered Containment Venting System (FCVS) for theremoval of aerosols in contaminated air. The present work involves computational fluid dynamics(CFD) study of dust particle removal efficiency of a venturi scrubber operating in self-priming mode usingANSYS CFX. Titanium oxide (TiO2) particles having sizes of 1 micron have been taken as dust particles. CFD methodology to simulate the venturi scrubber has been first developed. The cascade atomizationand breakup (CAB) model has been used to predict deformation of water droplets, whereas the EulerianeLagrangian approach has been used to handle multiphase flow involving air, dust, and water. Thedeveloped methodology has been applied to simulate venturi scrubber geometry taken from the literature. Dust particle removal efficiency has been calculated for forced feed operation of venturi scrubberand found to be in good agreement with the results available in the literature. In the second part, venturiscrubber along with a tank has been modeled in CFX, and transient simulations have been performed tostudy self-priming phenomenon. Self-priming has been observed by plotting the velocity vector fields ofwater. Suction of water in the venturi scrubber occurred due to the difference between static pressure inthe venturi scrubber and the hydrostatic pressure of water inside the tank. Dust particle removal efficiencyhas been calculated for inlet air velocities of 1 m/s and 3 m/s. It has been observed that removalefficiency is higher in case of higher inlet air velocity.
Rizvi, Syed Zaki Husain,Shah, Fawad Ali,Khan, Namrah,Muhammad, Iftikhar,Ali, Khan Hashim,Ansari, Muhammad Mohsin,Din, Fakhar ud,Qureshi, Omer Salman,Kim, Kyoung-Won,Choe, Yeong-Hwan,Kim, Jin-Ki,Zeb, A Elsevier 2019 International journal of pharmaceutics Vol.560 No.-
<P><B>Abstract</B></P> <P>The objective of current study was to develop solid lipid nanoparticles-loaded with simvastatin (SIM-SLNs) and investigate their <I>in vivo</I> anti-hyperlipidemic activity in poloxamer-induced hyperlipidemia model. Nano-template engineering technique was used to prepare SIM-SLNs with palmityl alcohol as lipid core and a mixture of Tween 40/Span 40/Myrj 52 to stabilize the core. The prepared SIM-SLNs were evaluated for physicochemical parameters including particle diameter, surface charge, morphology, incorporation efficiency, thermal behaviour and crystallinity. <I>In vitro</I> release profile of SIM-SLNs in simulated gastric and intestinal fluids was evaluated by using dialysis bag technique and anti-hyperlipidemic activity was assessed in hyperlipidemia rat model. SIM-SLNs revealed uniform particle size with spherical morphology, zeta potential of −24.9 mV and high incorporation efficiency (∼85%). Thermal behaviour and crystallinity studies demonstrated successful incorporation of SIM in the lipid core and its conversion to amorphous form. SIM-SLNs demonstrated a sustained SIM release from the lipid core of nanoparticles. SIM-SLNs significantly reduced the elevated serum lipids as indicated by ∼3.9 and ∼1.5-times decreased total cholesterol compared to those of untreated control and SIM dispersion treated hyperlipidemic rats. In conclusion, SIM-SLNs showed a great promise for improving the therapeutic outcomes of SIM via its effective oral delivery.</P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Allah Jurio Khaskheli,Muharam Ali,Syad Zakir Hussain Shah,Zohra Fatima Memon,Saleem Awan,Muhammad Ibrahim Khaskheli,Mohsin Ali Khaskheli,Bilqees Magsi,Zareen Qambrani,Asad Ali Khaskheli 한국식물생명공학회 2021 JOURNAL OF PLANT BIOTECHNOLOGY Vol.48 No.2
The present study aimed to evaluate the initiation, proliferation potential, and mass clonal production ability of a micropropagation system for banana through tissue culture. A total of 60 explants were cultured on basal media supplemented with various concentrations of BAP and NAA. Banana plants regenerated on MS basal medium (control) without the addition of BAP + NAA showed a significantly (P < 0.05) lower survival rate with no signs of shoots up to the end of the experimental period. The results further revealed that the performance in MSS-XI medium was almost 89%, followed by MSS-IX and MSS-X media, both of which showed performance up to 88%. In contrast, the performance in the MSS-XVI medium was less than 60%, at the less duration of time and highly shoot induction detected at MSS-XIII medium. The maximum number of shoots (4.9) was observed in the medium supplemented with growth adjuster MSS-XI, followed by the MSS-XII medium (4.5). Surprisingly, the best performance was observed for the MSR-VII medium approximately 16 days after initiation, while the lowest performance was observed with MSR-XI (approximately 31 days). The maximum rooting percentage (98%) was observed in the MSR-V to MSR-VIII media (98%), while the minimum rooting percentage was observed in MSR-XI (approximately 45%)
Muhammad Ahsan Sami,Muhammad Umar Masood,Muhammad Waqar,Muhammad Mujtaba,Abrahim Ali Shah,Nasir Rashid,Mohsin I. Tiwana,Javaid Iqbal,Adnan Shujah 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10
This paper presents an application of a novel approach for detecting and tracking an object with a 2 DOF robotic manipulator which can be equipped with an array of electrically controlled actuators. The said approach utilizes the Image Based Visual Servoing (IBVS) technique. The developed system is able to determine the object pose in real time from features in the image. Object is detected using shaped based approach algorithms of image processing. The position and orientation of the world coordinates of the object being tracked are calculated from the coordinates of the object in image plane using camera’s intrinsic and extrinsic parameters. Experimental results demonstrate the effectiveness of this proposed approach.
Adaptive Thresholding Technique for Segmentation and Juxtapleural Nodules Inclusion in Lung Segments
Muhammad Zia ur Rehman,Syed Omer Gilani,Syed Irtiza Ali Shah,Mohsin Jamil,Irfanullah,Shahid Ikramullah Butt 보안공학연구지원센터 2016 International Journal of Bio-Science and Bio-Techn Vol.8 No.5
Early diagnosis of lung cancer plays crucial role in the improvement of patients' chances of survival. Computer aided detection (CAD) system has been a groundbreaking step in the timely diagnosis and identification of potential nodules (lesions). CAD system starts detection process by extracting lung regions from CT scan images, this step narrows down the region for detection. Hence saving the time consumption and reducing false positives outside the lung regions that results in the improvement of specificity of system. Proper lung segmentation significantly increases the performance of CAD systems. Different algorithms are presented by various researchers to improve segmentation results. An intensity based approach is presented in this paper for the segmentation of parenchyma and the goal is to achieve reasonable segmentation results in less time. Algorithm used in this paper is based on the Intensity based thresholding which is the fastest method for image segmentation. Images used in this research to analyze algorithm's result are taken from Lung Image Database Consortium (LIDC). Twenty random cases were picked, each having different number of slices (128 to 300). Algorithm is implemented using MatlabR2014 and a system with processor of 2.6 GHz and RAM of 4 GB. Total time taken for a single case of 128 images was 6.3 seconds and hence with an average of 49 milli sec/slice.