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  • 1.
    Aslam, Bilal
    et al.
    Univ Engn & Technol, Dept Telecommun Engn, ACTSENA Res Grp, Taxila, Punjab, Pakistan..
    Azam, Muhammad A.
    Univ Engn & Technol, Dept Telecommun Engn, ACTSENA Res Grp, Taxila, Punjab, Pakistan..
    Amin, Yasar
    KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK. KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. Univ Engn & Technol, Dept Telecommun Engn, ACTSENA Res Grp, Taxila, Punjab, Pakistan..
    Loo, Jonathan
    Middlesex Univ, Sch Engn & Informat Sci, Dept Comp Sci, London, England..
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits.
    A high capacity tunable retransmission type frequency coded chipless radio frequency identification system2019In: International Journal of RF and Microwave Computer-Aided Engineering, ISSN 1096-4290, E-ISSN 1099-047X, Vol. 29, no 9, article id e21855Article in journal (Refereed)
    Abstract [en]

    This article presents a 12-bit frequency coded chipless RFID system in the frequency range of 3 to 6 GHz. The system consists of a fully printable chipless tag and a pair of high-gain reader antennas. The tag also incorporates its own antennas to improve the read range. Information is encoded into frequency spectrum using a multi-resonant circuit. The circuit consists of multiple microstrip U and L-shaped open stub resonators patterned in a unique configuration. The proposed configuration aids in capturing more data in a reduced space as well as tunable frequency operation. Tag and reader antennas utilize techniques such as stepped impedance feeding line, defective partial ground plane, and stair-step patch structure to achieve wide-band impedance bandwidth in miniature size. The results of the wireless measurements in the non-anechoic environment show that the proposed system has a reading range of more than 20 cm. The presented system possesses great potential for low-cost short-range inventory tracking.

  • 2.
    Fawad,
    et al.
    Univ Engn & Technol Taxila, ACTSENA Res Grp, Telecommun Engn Dept, Punjab 47050, Pakistan.
    Khan, Muhammad Jamil
    Univ Engn & Technol Taxila, ACTSENA Res Grp, Telecommun Engn Dept, Punjab 47050, Pakistan..
    Rahman, MuhibUr
    Polytech Montreal, Dept Elect Engn, Montreal, PQ H3T 1J4, Canada..
    Amin, Yasar
    Univ Engn & Technol Taxila, ACTSENA Res Grp, Telecommun Engn Dept, Punjab 47050, Pakistan..
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits. Univ Turku, Dept Informat Technol, TUCS, FIN-20520 Turku, Finland..
    Low-Rank Multi-Channel Features for Robust Visual Object Tracking2019In: Symmetry, ISSN 2073-8994, E-ISSN 2073-8994, Vol. 11, no 9, article id 1155Article in journal (Refereed)
    Abstract [en]

    Kernel correlation filters (KCF) demonstrate significant potential in visual object tracking by employing robust descriptors. Proper selection of color and texture features can provide robustness against appearance variations. However, the use of multiple descriptors would lead to a considerable feature dimension. In this paper, we propose a novel low-rank descriptor, that provides better precision and success rate in comparison to state-of-the-art trackers. We accomplished this by concatenating the magnitude component of the Overlapped Multi-oriented Tri-scale Local Binary Pattern (OMTLBP), Robustness-Driven Hybrid Descriptor (RDHD), Histogram of Oriented Gradients (HoG), and Color Naming (CN) features. We reduced the rank of our proposed multi-channel feature to diminish the computational complexity. We formulated the Support Vector Machine (SVM) model by utilizing the circulant matrix of our proposed feature vector in the kernel correlation filter. The use of discrete Fourier transform in the iterative learning of SVM reduced the computational complexity of our proposed visual tracking algorithm. Extensive experimental results on Visual Tracker Benchmark dataset show better accuracy in comparison to other state-of-the-art trackers.

  • 3.
    Khan, Tayyaba
    et al.
    Univ Engn & Technol, Dept Telecommun Engn, Taxila 47050, Pakistan..
    Rahman, MuhibUr
    Polytech Montreal, Dept Elect Engn, Montreal, PQ H3T 1J4, Canada..
    Akram, Adeel
    Univ Engn & Technol, Dept Telecommun Engn, Taxila 47050, Pakistan..
    Amin, Yasar
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. Univ Engn & Technol, Dept Telecommun Engn, Taxila 47050, Pakistan..
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics.
    A Low-Cost CPW-Fed Multiband Frequency Reconfigurable Antenna for Wireless Applications2019In: ELECTRONICS, ISSN 2079-9292, Vol. 8, no 8, article id 900Article in journal (Refereed)
    Abstract [en]

    A novel, cedar-shaped, coplanar waveguide-fed frequency reconfigurable antenna is proposed. The presented antenna uses low-cost FR4 substrate with a thickness of 1.6 mm. Four PIN diodes are inserted on the antenna surface to variate the current distribution and alter the resonant frequencies with different combinations of switches. The proposed antenna is fabricated and measured for all states, and a good agreement is seen between measured and simulated results. This antenna resonates within the range of 2 GHz to 10 GHz, covering the major wireless applications of aviation service, wireless local area network (WLAN), worldwide interoperability for microwave access (WiMAX), long distance radio telecommunications, and X-band satellite communication. The proposed antenna works resourcefully with reasonable gain, significant bandwidth, directivity, and reflection coefficient. The proposed multiband reconfigurable antenna will pave the way for future wireless communications including WLAN, WiMAX, and possibly fifth-generation (5G) communication.

  • 4.
    Naqvi, Syeda, I
    et al.
    Univ Engn & Technol, Telecommun Engn Dept, ACTSENA Res Grp, Taxila 47050, Pakistan..
    Naqvi, Aqeel H.
    Chung Ang Univ, Sch Elect & Elect Engn, Seoul 06974, South Korea..
    Arshad, Farzana
    Univ Engn & Technol, Telecommun Engn Dept, ACTSENA Res Grp, Taxila 47050, Pakistan..
    Riaz, Muhammad A.
    Univ Engn & Technol, Telecommun Engn Dept, ACTSENA Res Grp, Taxila 47050, Pakistan..
    Azam, Muhammad A.
    Univ Engn & Technol, Dept Comp Engn, Taxila 47050, Pakistan..
    Khan, Mansoor S.
    COMSATS Univ Islamabad, Math Dept, Islamabad 45550, Pakistan..
    Amin, Yasar
    Univ Engn & Technol, Telecommun Engn Dept, ACTSENA Res Grp, Taxila 47050, Pakistan..
    Loo, Jonathan
    Univ West London, Sch Comp & Engn, London W5 5RF, England..
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. Univ Turku, TUCS, Dept Informat Technol, FIN-20520 Turku, Finland..
    An Integrated Antenna System for 4G and Millimeter-Wave 5G Future Handheld Devices2019In: IEEE Access, E-ISSN 2169-3536, Vol. 7, p. 116555-116566Article in journal (Refereed)
    Abstract [en]

    In this work, an integrated antenna system with Defected Ground Structure (DGS) is presented for Fourth Generation (4G) and millimeter (mm)-wave Fifth Generation (5G) wireless applications and handheld devices. The proposed design with overall dimensions of 110 mm x 75 mm is modeled on 0.508 mm thick Rogers RT/Duroid 5880 substrate. Radiating structure consists of antenna arrays excited by the T-shape 1 x 2 power divider/combiner. Dual bands for 4G centered at 3.8 GHz and 5.5 GHz are attained, whereas the 10-dB impedance bandwidth of 24.4 - 29.3 GHz is achieved for the 5G antenna array. In addition, a peak gain of 5.41 dBi is demonstrated across the operating bandwidth of the 4G antenna array. Similarly, for the 5G mm-wave configuration the attained peak gain is 10.29 dBi. Moreover, significant isolation is obtained between the two antenna modules ensuring efficient dual-frequency band operation using a single integrated solution. To endorse the concept, antenna prototype is fabricated and far-field measurements are procured. Simulated and measured results exhibit coherence. Also the proposed design is investigated for the beam steering capability of the mm-wave 5G antenna array using CST(R)MWS(R). The demonstrated structure offers various advantages including compactness, wide bandwidth, high gain, and planar configuration. Hence, the attained radiation characteristics prove the suitability of the proposed design for the current and future wireless handheld devices.

  • 5.
    Saeed, Ayesha
    et al.
    Univ Engn & Technol Taxila, Telecommun Engn Dept, ACTSENA Res Grp, Taxila 47050, Pakistan..
    Fawad,
    Khan, Muhammad Jamil
    Univ Engn & Technol Taxila, Telecommun Engn Dept, ACTSENA Res Grp, Taxila 47050, Pakistan..
    Riaz, Muhammad Ali
    Univ Engn & Technol Taxila, Telecommun Engn Dept, ACTSENA Res Grp, Taxila 47050, Pakistan..
    Shahid, Humayun
    Univ Engn & Technol Taxila, Telecommun Engn Dept, ACTSENA Res Grp, Taxila 47050, Pakistan..
    Khan, Mansoor Shaukat
    COMSATS Univ Islamabad, Math Dept, Islamabad 45550, Pakistan..
    Amin, Yasar
    Univ Engn & Technol Taxila, Telecommun Engn Dept, ACTSENA Res Grp, Taxila 47050, Pakistan..
    Loo, Jonathan
    Univ West London, Sch Comp & Engn, London W5 5RF, England..
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics.
    Robustness-Driven Hybrid Descriptor for Noise-Deterrent Texture Classification2019In: IEEE Access, E-ISSN 2169-3536, Vol. 7, p. 110116-110127Article in journal (Refereed)
    Abstract [en]

    A robustness-driven hybrid descriptor (RDHD) for noise-deterrent texture classification is presented in this paper. This paper offers the ability to categorize a variety of textures under challenging image acquisition conditions. An image is initially resolved into its low-frequency components by applying wavelet decomposition. The resulting low-frequency components are further processed for feature extraction using completed joint-scale local binary patterns (CJLBP). Moreover, a second feature set is obtained by computing the low order derivatives of the original sample. The evaluated feature sets are integrated to get a final feature vector representation. The texture-discriminating performance of the hybrid descriptor is analyzed using renowned datasets: Outex original, Outex extended, and KTH-TIPS. The experimental results demonstrate a stable and robust performance of the descriptor under a variety of noisy conditions. An accuracy of 95.86%, 32.52%, and 88.74% at noise variance of 0.025 is achieved for the given datasets, respectively. A comparison between performance parameters of the proposed paper with its parent descriptors and recently published paper is also presented.

  • 6.
    Shabbir, Ghulam
    et al.
    Univ Engn & Technol Taxila, Taxila 47050, Pakistan..
    Ahmad, Jamil
    Univ Engn & Technol Taxila, Taxila 47050, Pakistan..
    Raza, Waseem
    Univ Lahore, Lahore 54000, Pakistan..
    Amin, Yasar
    Univ Engn & Technol Taxila, Taxila 47050, Pakistan..
    Akram, Adeel
    Univ Engn & Technol Taxila, Taxila 47050, Pakistan..
    Loo, Jonathan
    Univ West London, London W5 5RF, England..
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits.
    Buffer-Aided Successive Relay Selection Scheme for Energy Harvesting IoT Networks2019In: IEEE Access, E-ISSN 2169-3536, Vol. 7, p. 36246-36258Article in journal (Refereed)
    Abstract [en]

    In this paper, we analyze the impact of buffer-aided full-duplex successive relay selection schemes with energy harvesting capability of relay nodes in amplifying and forward (AF) and decode and forward (DF) relaying environments for the Internet of Things networks. We propose to select a relay pair based on the energy harvested and signal strength at relay and destination to receive and transmit in the same time slot, respectively. Contrary to the previous relay pair selection schemes which are based on the signal strength only and cause the relay overuse problem, the proposed scheme ensures the balanced use of energy of relay nodes. The proposed relay selection scheme is implemented with the time switching (TS) and power splitting (PS)-based energy harvesting models in AF and DF relaying environments separately. Furthermore, we derive the closed-form expression of the outage probability and average throughput for both the TS and PS approaches in the DF and AF relaying modes. We compare the proposed relay selection scheme with the S-MMRS scheme and prove that the proposed scheme significantly reduces the outage probability and improves the average throughput. Furthermore, the analytical findings are reinforced with the extensive Monte Carlo simulations.

1 - 6 of 6
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  • apa
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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  • asciidoc
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