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RISS 인기검색어
- 검색키워드
- 저자 : ( Faisal Farooq ) (검색결과 4 건)
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A Miniaturized Novel-Shape Dual-Band Antenna for Implantable Applications
Faisal, Farooq,Yoo, Hyoungsuk IEEE 2019 IEEE transactions on antennas and propagation Vol.67 No.2
<P>In this paper, a miniaturized novel-shape dual-band implantable antenna operating in the industrial, scientific, and medical bands (902–928 MHz and 2.4–2.4835 GHz) is developed for battery-powered implants. The Rogers ULTRALAM ( <TEX>$\varepsilon _{r} =2.9$</TEX> and tan <TEX>$\delta =0.0025$</TEX>) liquid crystalline polymer material with 0.1 mm thickness is used as both the substrate and superstrate. By employing the shorting strategy, a flower-shape radiating patch, and open-ended slots in the ground plane, the total volume of the proposed antenna is confined to <TEX>$7 \times 7.2\times0.2$</TEX> mm<SUP>3</SUP>. In a homogeneous skin phantom, the presented antenna has a maximum gain of −28.44 and −25.65 dBi at 928 MHz and 2.45 GHz, respectively. The calculated maximum specific absorption rate values are in the safe limit and satisfy the IEEE C95.1-1999 and C95.1-2005 safety guidelines. The design, optimization, and analysis of the suggested antenna are performed using the finite difference time-domain- and finite-element method-based simulators. The results suggest that the flower-shape antenna exhibits fairly omnidirectional radiation patterns; therefore, it can be used for gastro applications and skin implantations. Through wireless communication link, we validated that at both frequencies (928 MHz and 2.45 GHz), 7 Kb/s and 78 Mb/s of data can be transmitted easily over more than 6 and 1.5 m, respectively. To verify the validity of the design and simulation results, measurements are performed by substituting the fabricated prototype in the American Society for Testing Materials and head phantoms containing saline solution. The proposed flower-shape antenna shows salient performance parameters compared with the recently proposed antennas.</P>
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Human Action Recognition via Depth Maps Body Parts of Action
( Adnan Farooq ),( Faisal Farooq ),( Anh Vu Le ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.5
Human actions can be recognized from depth sequences. In the proposed algorithm, we initially construct depth, motion maps (DMM) by projecting each depth frame onto three orthogonal Cartesian planes and add the motion energy for each view. The body part of the action (BPoA) is calculated by using bounding box with an optimal window size based on maximum spatial and temporal changes for each DMM. Furthermore, feature vector is constructed by using BPoA for each human action view. In this paper, we employed an ensemble based learning approach called Rotation Forest to recognize different actions Experimental results show that proposed method has significantly outperforms the state-of-the-art methods on Microsoft Research (MSR) Action 3D and MSR DailyActivity3D dataset.
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Hua Bian,Shah Faisal,Khan M Ijaz,El-Zahar Essam Roshdy,Farooq Shahid,Khan Sami Ullah,Guedri Kamel,Wu Wen-jing 한국CDE학회 2022 Journal of computational design and engineering Vol.9 No.3
The current investigation is concerned with the rheological impact of fourth-grade confined by Riga surface. The flow behaviour is analysed over a Riga plate in the presence of stagnation point and porous medium. The relevant similarity variables and corresponding boundary conditions are adopted to model the current problem. The highly non-linear coupled differential system is via optimal homotopy scheme. The outcomes of relevant dimensionless parameters on the velocity profile have been visualized with physical exploration. It is observed from the obtained outcomes that the fluid velocity declines against rising estimations of modified magnetic variable and inverse Darcy number. The increasing velocity change is noted for boosting values of third-grade fluid parameter. Moreover, the velocity pattern for fourth-grade material is comparatively higher than viscous, second-grade, and third-grade materials. The comparative analysis against obtained simulations is also listed.
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Robust extraction of P300 using constrained ICA for BCI applications.
Khan, Ozair Idris,Farooq, Faisal,Akram, Faraz,Choi, Mun-Taek,Han, Seung Moo,Kim, Tae-Seong P. Peregrinus Ltd.] 2012 Medical & biological engineering & computing Vol.50 No.3
<P>P300 is a positive event-related potential used by P300-brain computer interfaces (BCIs) as a means of communication with external devices. One of the main requirements of any P300-based BCI is accuracy and time efficiency for P300 extraction and detection. Among many attempted techniques, independent component analysis (ICA) is currently the most popular P300 extraction technique. However, since ICA extracts multiple independent components (ICs), its use requires careful selection of ICs containing P300 responses, which limits the number of channels available for computational efficiency. Here, we propose a novel procedure for P300 extraction and detection using constrained independent component analysis (cICA) through which we can directly extract only P300-relevant ICs. We tested our procedure on two standard datasets collected from healthy and disabled subjects. We tested our procedure on these datasets and compared their respective performances with a conventional ICA-based procedure. Our results demonstrate that the cICA-based method was more reliable and less computationally expensive, and was able to achieve 97 and 91.6% accuracy in P300 detection from healthy and disabled subjects, respectively. In recognizing target characters and images, our approach achieved 95 and 90.25% success in healthy and disabled individuals, whereas use of ICA only achieved 83 and 72.25%, respectively. In terms of information transfer rate, our results indicate that the ICA-based procedure optimally performs with a limited number of channels (typically three), but with a higher number of available channels (>3), its performance deteriorates and the cICA-based one performs better.</P>
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