Md. Ahsan Habib

A Novel Presentation of Toffoli Gate in Quantum-dot Cellular Automata (QCA)

Quantum dot Cellular Automata (QCA) is one of the emerging nanotechnologies, promising alternative to CMOS technology due to faster speed, smaller size, lower power consumption, higher scale integration and higher switching frequency. The basic element in QCA is majority gate. This paper, present two different design layout of Toffoli gate based on QCA logic gates: majority voter gate (MV), QCA wire and inverter gate. QCADesigner, a common QCA layout design and verification tool is employed to verify and simulate the proposed Toffoli Gate (TG). The simulation result confirmed the correctness of the proposed circuits. The proposed circuit has a promising future in constructing of nano-scale low power exhausting information processing system and can stimulate higher digital applications in QCA. General Terms Nano Technology, Quantum dot Cellular Automata (QCA).

A novel presentation of reversible logic gate in Quantum-dot Cellular Automata (QCA)

In last few decades, low power processing and small scaling have been successfully achieved by conventional lithography-based VLSI technology. However, this trend confronts serious challenges due to fundamental physical limits of Complementary Metal-Oxide-Semiconductor (CMOS) technology such as ultra-thin gate oxides, short channel effects, doping fluctuations at nano-scale regimes. Quantum-dot Cellular Automata (QCA) technology has been extensively conceivable as one of the alternative, that gives not only the solution of CMOS technology at nano-scale, but also it offers a new method of computation and information transformation. This paper presents a novel representation of reversible gate in QCA. Those proposed circuit has a promising future in constructing of nano-scale low power consumption information processing system and can be stimulated higher digital applications in QCA.

Incremental clustering-based object tracking in wireless sensor networks

Emerging significance of moving object tracking has been actively pursued in the Wireless Sensor Network (WSN) community for the past decade. As a consequence, a number of methods from different angle of assessment have been developed while relatively satisfying performance. Amongst those, clustering based object tracking has shown significant results, which in term provides the network to be scalable and energy efficient for large-scale WSNs. As of now, static cluster based object tracking is the most common approach for large-scale WSN. However, as static clusters are restricted to share information globally, tracking can be lost at the boundary region of static clusters. In this paper, an Incremental Clustering Algorithm is proposed in conjunction with Static Clustering Technique to track an object consistently throughout the network solving boundary problem. The proposed research follows a Gaussian Adaptive Resonance Theory (GART) based Incremental Clustering that creates and updates clusters incrementally to incorporate incessant motion pattern without defiling the previously learned clusters. The objective of this research is to continue tracking at the boundary region in an energy-efficient way as well as to ensure robust and consistent object tracking throughout the network. The network lifetime performance metric has shown significant improvements for Incremental Static Clustering at the boundary regions than that of existing clustering techniques.

Impacts of Temperature on the Performance of Cdte Based Thin-Film Solar Cell

In this investigation, the effect of temperature on the performance of CdTe based thin film solar cells has been studied. The parameters such as open circuit voltage (Voc ), short circuit current density (Jsc ), fill factor and efficiency η determines the performance of solar cell. And an important diode parameter, reverse saturation current density, J 0 controls the impacts of temperature on the performance parameters. The reverse saturation current density of the CdTe photovoltaic cell, J 0 = CT 3exp(−qEg /kT) was determinedas optimum for C = 17.90 mAcm −2 K 3 yields CT 3 = 4.74 × 108 mAcm −2. In this case, 298 K is considered to be more suitable temperature to achieve optimized Voc, Jsc, FF, and η calculated for AM1.5G illumination spectra. The maximum attained values of performance parameters are compared with the experimental and theoretical results in the literature of CdTe solar cells. Moreover, the rate of change in performance parameters due to temperature are also measured and compared with the results available in the earlier published works.

Effective fire event notification system for fire service department of Bangladesh

Real or near time notification is crucial to limit the damage of any emergency situation. The intention of this study is to find out the problems of existing fire notification system and propose a possible solution and user acceptance of the new technology to limit the damage caused by fire casualty.