Spatial Structures in a Generalized Ginzburg-Landau Free Energy

Searching for characteristic signatures of a higher order phase transition (specifically of order three or four), we have calculated the spatial profiles and the energies of a spatially varying order parameter in one dimension. In the case of a $p^{th}$ order phase transition to a superconducting ground state, the free energy density depends on temperature as $a^p$, where $a = a_o(1-T/T_c)$ is the reduced temperature. The energy of a domain wall between two degenerate ground states is $\epsilon_p \simeq a^{p-1/2}$. We have also investigated the effects of a supercurrent in a narrow wire. These effects are limited by a critical current which has a temperature dependence $J_c(T) \simeq a^{(2p-1)/2}$. The phase slip center profiles and their energies are also calculated. Given the suggestion that the superconducting transtion in \bkbox, for $x = 0.4$, may be of order four, these predictions have relevance for future experiments.Comment: 7 pages, 5 figure

Archaeological tourism: A creative approach

This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this recordThis theoretical paper conceptualises the role of tourism providers in facilitating creative tourism experiences by focusing on their ingenious enterprise, which we argue can help capture the tourism potential of intangible archaeological heritage. Intangible archaeological heritage can be understood as knowledge emanating from actors’ own interpretation of archaeological sites that have either become physically inaccessible or been destroyed since initial exploration. Archaeological heritage is often equated with tangibility, which results in an omission of experiences that intangible archaeological heritage can offer. By proposing a rethinking of the archaeological tourism framework, we argue that the touristic value of both tangible and intangible archaeological heritage is better realised and can be further utilised to study the easily overlooked aspect of providers’ ingenuity

Fault Detection and Classification in Transmission Line Using Wavelet Transform and ANN

In recent years, there is an increased interest in fault classification algorithms. The reason, behind this interest is the escalating power demand and multiple interconnections of utilities in grid. This paper presents an application of wavelet transforms to detect the faults and further to perform classification by supervised learning paradigm. Different architectures of ANN are tested with the statistical attributes of a wavelet transform of a voltage signal as input features and binary digits as outputs. The proposed supervised learning module is tested on a transmission network. It is observed the Layer Recurrent Neural Network (LRNN) architecture performs satisfactorily when it is compared with the simulation results. The transmission network is simulated on Matlab. The performance indices Mean Square Error (MSE), Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Sum Square Error (SSE) are used to determine the efficacy of the neural network

Fault Detection and Classification in Transmission Line Using Wavelet Transform and ANN

Recent years, there is an increased interest in fault classification algorithms. The reason, behind this interest is the escalating power demand and multiple interconnections of utilities in grid. This paper presents an application of wavelet transforms to detect the faults and further to perform classification by supervised learning paradigm. Different architectures of ANN aretested with the statistical attributes of a wavelet transform of a voltage signal as input features and binary digits as outputs. The proposed supervised learning module is tested on a transmission network. It is observed that ANN architecture performs satisfactorily when it is compared with the simulation results. The transmission network is simulated on Matlab. The performance indices Mean Square Error (MSE), Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Sum Square Error (SSE) are used to determine the efficacy of the neural network

Management of red rust thrips, Chaetanophothripssignipennis (Bagnall) in banana

The commercial value of banana is mainly affected by red rust thrips, Chaetanophothripssignipennis(Bagnall) during fruiting phase at maturity. In this context, the trial was framed at F.R.S., N.A.U., Gandevi under ICAR-AICRP (Fruits) programme. The three years data on efficacy of bio-rational pesticides for management of red rust thrips revealed that bud injection of imidacloprid (0.3 ml/ 500 ml water) @ 1 ml/bud exhibited lowest unblemished fruits up to 8.37% over conventional spraying (20.72%) and bunch sleeving method (42.83%). The comparable results on fruit damage (14.83%) was observed with bud injection of azadirachtin (1%) (5 ml/l water) @ 2 ml/bud over conventional spray. The merit of technology furnished higher no. of unblemished fruits (<10%) and original peel superficial appearance remains impassive under bud injection technique with higher benefit cost ratio with very low dose of pesticide provide financial profit to growers and traders. Besides, imidacloprid residue was not detected in harvested fruits and there is no other technology available to remove this malady of banan

Closed Cell Aluminium Composite Foam for Crashworthiness Applications

Closed cell aluminium foams with various densities have been made through stir casting technique. The crucible temperature and melt temperature have been controlled to control the foaming temperature for controlling foam cell size and foam densities. The foam made has been then characterized for their micro-architectural characteristics as well as deformation responses. The crash of vehicle takes place at very high speed and therefore, the foams have been tested both at quasi-static and dynamic conditions. It is noted that at dynamic conditions the foams exhibit much higher strength and energy absorption. Then the foams have been filled manually inside the commercially available crash-box and tested using drop weight test methodology. The weight is varied up to 375 kg and speed is varied up to 55 km/h. The deformation behavior of bare foam blocks, foam filled crash box and empty crash boxes have been studied. It is observed that the foam synthesized through this technique is excellent for crash energy absorption. It is also noted that hardly any significant weight will be added into the vehicle. These closed cell foam has also the potential to be used in other transport sectors

An S2 Fluorescence Model for Interpreting High-Resolution Cometary Spectra. I. Model Description and Initial Results

A new versatile model providing S2 fluorescence spectrum as a function of time is developed with the aim of interpreting high resolution cometary spectra. For the S2 molecule, it is important to take into account both chemical and dynamic processes because S2 has a short lifetime and is confined in the inner coma where these processes are most important. The combination of the fluorescence model with a global coma model allows for the comparison with observations of column densities taken through an aperture and for the analysis of S2 fluorescence in different parts of the coma. Moreover, the model includes the rotational structure of the molecule. Such a model is needed for interpreting recent high spectral resolution observations of cometary S2. A systematic study of the vibrational-rotational spectrum of S2 is undertaken, including relevant effects, such as non-equilibrium state superposition and the number density profile within the coma due to dynamics and chemistry, to investigate the importance of the above effects on the scale length and abundance of S2 in comets.Comment: 20 pages, 7 figure