Quantum Optimal Control with Pulses

Syed Muhammad Abuzar Rizvi,Fakhar Zaman,Kyesan Lee,Hyundong Shin 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.11

Algorithm for Improving the Computing Power of Next Generation Wireless Receivers

Syed S. Rizvi 한국정보과학회 2012 Journal of Computing Science and Engineering Vol.6 No.4

Next generation wireless receivers demand low computational complexity algorithms with high computing power in order to perform fast signal detections and error estimations. Several signal detection and estimation algorithms have been proposed for next generation wireless receivers which are primarily designed to provide reasonable performance in terms of signal to noise ratio (SNR) and bit error rate (BER). However, none of them have been chosen for direct implementation as they offer high computational complexity with relatively lower computing power. This paper presents a low-complexity power-efficient algorithm that improves the computing power and provides relatively faster signal detection for next generation wireless multiuser receivers. Measurement results of the proposed algorithm are provided and the overall system performance is indicated by BER and the computational complexity. Finally, in order to verify the low-complexity of the proposed algorithm we also present a formal mathematical proof.

Novel Architecture of Self-organized Mobile Wireless Sensor Networks

Rizvi, Syed,Karpinski, Kelsey,Razaque, Abdul Korean Institute of Information Scientists and Eng 2015 Journal of Computing Science and Engineering Vol.9 No.4

Self-organization of distributed wireless sensor nodes is a critical issue in wireless sensor networks (WSNs), since each sensor node has limited energy, bandwidth, and scalability. These issues prevent sensor nodes from actively collaborating with the other types of sensor nodes deployed in a typical heterogeneous and somewhat hostile environment. The automated self-organization of a WSN becomes more challenging as the number of sensor nodes increases in the network. In this paper, we propose a dynamic self-organized architecture that combines tree topology with a drawn-grid algorithm to automate the self-organization process for WSNs. In order to make our proposed architecture scalable, we assume that all participating active sensor nodes are unaware of their primary locations. In particular, this paper presents two algorithms called active-tree and drawn-grid. The proposed active-tree algorithm uses a tree topology to assign node IDs and define different roles to each participating sensor node. On the other hand, the drawn-grid algorithm divides the sensor nodes into cells with respect to the radio coverage area and the specific roles assigned by the active-tree algorithm. Thus, both proposed algorithms collaborate with each other to automate the self-organizing process for WSNs. The numerical and simulation results demonstrate that the proposed dynamic architecture performs much better than a static architecture in terms of the self-organization of wireless sensor nodes and energy consumption.

Lifetime Extension of Underwater Wireless Sensor Network using Multiple-AUVs

Syed Murtaza Rizvi,Ho-Shin Cho 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.2

This paper aims to increase the lifetime of an underwater wireless sensor network (UWSN) by maintaining a uniform energy distribution among the network nodes. This is achieved by employing multiple Autonomous Underwater Vehicles (AUV) that traverse the network in elliptical trajectories. Furthermore, the axis of the trajectories are rotated to mitigate the effect of the hot region problem, where the sensor nodes near the trajectory suffer severe energy depletion due to consistent relaying of data of the distant nodes to the AUV. Index Terms—Energy hole problem, AUV, data gathering, underwater wireless sensor networks

Simvastatin-loaded solid lipid nanoparticles for enhanced anti-hyperlipidemic activity in hyperlipidemia animal model

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>

Machine Learning for Qubit State Estimation on IBM Quantum Computer

Syed Muhammad Abuzar Rizvi,Muhammad Asad Ullah,Hyundong Shin 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2

Quantum computing is a rapidly emerging technology, that harnesses the unprecedented resources to solve problems too complex for classical computers. Quantum computers have qubits, which are quantum mechanical analogue of classical bits. IBM uses superconducting qubits for its quantum computers which are controlled by microwave pulses. IBM provides cloud-based experimentalist level access to its superconducting quantum computers equipping end-user with the ability to calibrate pulse parameters and implement customized error mitigation techniques. In this paper we apply multiple machine learning algorithms to estimate the qubit state using the pulse level control and compare their performance in terms of median and interquartile range of accuracy.

Algorithm for Improving the Computing Power of Next Generation Wireless Receivers

Rizvi, Syed S. Korean Institute of Information Scientists and Eng 2012 Journal of Computing Science and Engineering Vol.6 No.4

Next generation wireless receivers demand low computational complexity algorithms with high computing power in order to perform fast signal detections and error estimations. Several signal detection and estimation algorithms have been proposed for next generation wireless receivers which are primarily designed to provide reasonable performance in terms of signal to noise ratio (SNR) and bit error rate (BER). However, none of them have been chosen for direct implementation as they offer high computational complexity with relatively lower computing power. This paper presents a low-complexity power-efficient algorithm that improves the computing power and provides relatively faster signal detection for next generation wireless multiuser receivers. Measurement results of the proposed algorithm are provided and the overall system performance is indicated by BER and the computational complexity. Finally, in order to verify the low-complexity of the proposed algorithm we also present a formal mathematical proof.

Measurement Error Mitigation for NISQ Devices

Syed Muhammad Abuzar Rizvi,Muhammad Asad Ullah,Hyundong Shin 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.6

Novel Architecture of Self-organized Mobile Wireless Sensor Networks

Syed Rizvi,Kelsey Karpinski,Abdul Razaque 한국정보과학회 2015 Journal of Computing Science and Engineering Vol.9 No.4

Self-organization of distributed wireless sensor nodes is a critical issue in wireless sensor networks (WSNs), since each sensor node has limited energy, bandwidth, and scalability. These issues prevent sensor nodes from actively collaborating with the other types of sensor nodes deployed in a typical heterogeneous and somewhat hostile environment. The automated self-organization of a WSN becomes more challenging as the number of sensor nodes increases in the network. In this paper, we propose a dynamic self-organized architecture that combines tree topology with a drawn-grid algorithm to automate the self-organization process for WSNs. In order to make our proposed architecture scalable, we assume that all participating active sensor nodes are unaware of their primary locations. In particular, this paper presents two algorithms called active-tree and drawn-grid. The proposed active-tree algorithm uses a tree topology to assign node IDs and define different roles to each participating sensor node. On the other hand, the drawn-grid algorithm divides the sensor nodes into cells with respect to the radio coverage area and the specific roles assigned by the active-tree algorithm. Thus, both proposed algorithms collaborate with each other to automate the self-organizing process for WSNs. The numerical and simulation results demonstrate that the proposed dynamic architecture performs much better than a static architecture in terms of the self-organization of wireless sensor nodes and energy consumption.

New species of the genus Chelopistes (Ischnocera: Philopteridae) from Pakistan

Saima Naz,Syed Anser Rizvi 한국응용곤충학회 2012 Journal of Asia-Pacific Entomology Vol.15 No.1

A new species of Chelopistes Kéler from common turkey fowl Meleagris gallopavo L. from Karachi, Pakistan is described in detail with reference to morphology and genitalia. The new species is also compared with its closest known ally, Chelopistes meleagridis, a common cosmopolitan parasite previously described from common turkey fowl.