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Signal length possesses a very important role in size estimation of underwater wireless sensor network (UWSN). As size estimation is very tough in UWSNs using conventional protocol techniques, a cross-correlation based technique is introduced to estimate the number of nodes. In UWSN, The greater the signal length, the more energy is required to perform the estimation. In this paper, we observe the...
This paper is concerned with the reduction of peak to average power ratio (PAPR) of 3rd generation partnership project (3GPP) LTE standard using the single carrier-frequency division multiple access (SCFDMA) for mobile uplink transmission. The PAPR reduction is done based on the discrete Fourier transform (DFT) spreading technique which is well known as DFT - SCFDMA and in case of LTE which can reduce...
In underwater network, it is very important to know the location of unmanned underwater vehicle (UUV). The unknown position of UUV considered as an unknown node that can be determined from the known node locations through underwater acoustic network. The known node locations considered here as fixed positioned node. The range data is measured between unknown node and known nodes. By exploiting these...
Due to low work function, high melting point and superior chemical stability at high temperatures, lanthanum hexaboride (LaB6) has great potential as a thermionic emitter in renewable energy applications. The main challenge is to synthesise these hexaborides at lower temperatures without any post-synthesis cleaning treatments. In this present work, we investigated several techniques to prepare pure...
The micrometer scale of optics is significantly larger than the nanometer scale of modern electronic devices. To produce photodiodes yielding both superior speed and responsivity, a critical challenge is to confine the incident light efficiently to an active region having a small (subwavelength) area. In recent years, plasmonics has been applied as a means to confine light to subwavelength areas....
Nanocrystelline La1−xSrxFeO3 (0≤x≤1) was prepared by sol gel citrate method. The structural characterization of the compound was carried out by XRD and SEM. X-Ray diffraction showed that single phase LaFeO3 was formed with an orthorhombic structure. DC measurements of the prepared material were investigated from 300K-400K. It has been observed that increase in Sr content enhances the conductivity...
Zinc sulfide (ZnS) nanoparticles were synthesized using chemical co-precipitation method. The structural and morphological properties of these particles were studied by X-ray diffraction (XRD) and Scanning electron microscopy (SEM). The crystallite sizes calculated from XRD patterns were 2.8nm and 29nm of as prepared sphalerite and annealed wurtzite ZnS particles respectively. UV-visible absorption...
A simple process is presented for the preparation of TiO2 nanoparticles by Co-precipitation method. This process is relatively cheaper and by using different variation we can control particle size and shape. TiCl4 was used as primary precursor along with Na2CO3 for synthesis of Rutile nanoparticles. Synthesis was done with and without modifier. Structural characterizations of samples were performed...
The concept and the simulated device characteristics of ultralow-power and high-performance band-to-band tunneling field-effect transistors employing stepped broken-gap heterobarriers, HetTFETs, are presented. Abrupt switching is defined by the onset of a band overlap. High on-state currents are provided by narrow tunnel barriers defined by crystal growth rather than electrostatics. Sentaurus Device...
This paper evaluates the energy-saving achievable by performing traffic grooming in WDM networks with drop-and-continue node architecture. Different grooming strategies are compared in terms of network performance and energy usage.
Evaluation of localized and time-varying behaviors of rain in Tokyo Tech millimeter-wave wireless network is presented in this paper. Data about Rain rate, Bit Error Rate (BER) and Rx level are being collected since March 2008. Based on the data, we performed conventional statistical analysis such as measuring rain attenuation constant, cumulative rain rate distribution, relation between availability...
In this paper, we have prepared a medium size Bangla speech corpus and compare performances of different acoustic features for Bangla word recognition. Most of the Bangla automatic speech recognition (ASR) system uses a small number of speakers, but 40 speakers selected from a wide area of Bangladesh, where Bangla is used as a native language, are involved here. In the experiments, mel-frequency cepstral...
In this paper, we compare among performance of different acoustic features for Bangla Automatic Speech Recognition (ASR). Most of the Bangla ASR system uses a small number of speakers, but 40 speakers selected from a wide area of Bangladesh, where Bangla is used as a native language, are involved here. In the experiments, mel-frequency cepstral coefficients (MFCCs) and local features (LFs) are inputted...
This paper describes an effect of articulatory Δ and ΔΔ parameters on automatic speech recognition (ASR). Articulatory features (AFs) or distinctive phonetic features (DPFs)-based system shows its superiority in performances over acoustic features based ASR. These performances can be further improved by incorporating articulatory dynamic parameters into it. In this paper, we have proposed such a phoneme...
This paper describes an evaluation of Inhibition/Enhancement (In/En) network for noise robust automatic speech recognition (ASR). In articulatory feature based speech recognition using neural network, the In/En network is needed to discriminate whether the articulatory features (AFs) dynamic patterns of trajectories are convex or concave. The network is used to achieve categorical AFs movement by...
Gene Regulatory Network (GRN) is an abstract mapping of gene regulations in living cells that can help to predict the system behavior of living organisms. In this research, we use a model based inference method to reconstruct GRN from gene expression data. We use linear time variant model which is of particular interest among all other models because of its capability of discovering the non-linear...
This paper investigates the benefits of enabling services with differentiated energy-saving (DiffEnS) in WDM optical networks with traffic grooming capabilities. DiffEnS can reduce the operating cost (OPEX) as more customers gradually join green programs and subscribe to the energy efficient traffic services referred to as the Green. Based on a modular node design with grooming capabilities, two heuristic...
This paper describes an isolated word recognition method based on distinctive phonetic features (DPFs). The method comprises two multilayer neural networks (MLNs). The first MLN, MLNLF-DPF, maps local features (LFs) of an input speech signal into discrete DPFs and the second MLN, MLNDyn, restricts dynamics of outputted DPFs by the MLNLF-DPF. In the experiments on Tohokudai Isolated Spoken-Word Database...
This paper presents a speech recognition technique based on inhibition/enhancement (In/En) of articulatory features (AFs) by determining the dominant factor between inhibition and enhancement. The proposed method comprises three stages-a) Multilayer Neural Networks (MLNs), b) In/En Network and c)Gram-Schmidt (GS) Orthogonalization. At first stage, the MLNs detects AFs and then In/En network is used...
Content-addressable memory (CAM) is an essential component for high-speed lookup intensive applications. This paper presents a match-line selective charging technique to increase speed and reduce the energy per bit per search while increasing the noise-tolerance. Simulation in TSMC 0.18 μm technology with 64×72 Ternary CAM shows the match-line energy reduction of 45% compared to the conventional current-saving...
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