In this study, we describe an auto-calibration algorithm with fixed but unknown camera parameters. We have modified Triggs’ algorithm to incorporate known aspect ratio and skew values to make it applicable for small rotation around a single axis. The algorithm despite being a quadratic one is easy to solve. We have applied the algorithm to some artificial objects with known size and dimensions ...

ZnO and ZrO2 photo catalysts were synthesized by sol-gel auto combustion method. The products were characterized by X-ray Diffraction (XRD) and Scanning Electron Microscopy (SEM). Structural and morphological properties of nano particles were investigated and the average crystalline size of ZnO and ZrO2 was obtained 44 and 51 nm, respectively. Also, photo catalytic degrada...

_ By D. N. SEN, l-m.s., Pathologist, Sambhunath Pandit Hospital, Alipore? Note by Major GOURLAY, d-s.o-, Surgeon Supdt., Sambhunath Pandit Hospital. In introducing this paper by Dr. D. N. Sen, Pathologist of the Sambhunath Pandit Hospital. I must admit that I have no first-hand acquaintance with the literature of auto-haemic therapy. At the same time, the subject appears to be an extraordinaril...

Binary codes can be used to speed up nearest neighbor search tasks in large scale data sets as they are efficient for both storage and retrieval. In this paper, we propose a robust auto-encoder model that preserves the geometric relationships of high-dimensional data sets in Hamming space. This is done by considering a noise-removing function in a region surrounding the manifold where the train...

Auto-encoder is a special kind of neural network based on reconstruction. De-noising auto-encoder (DAE) is an improved auto-encoder which is robust to the input by corrupting the original data first and then reconstructing the original input by minimizing the reconstruction error function. And contractive auto-encoder (CAE) is another kind of improved auto-encoder to learn robust feature by int...

The UCVM (figure 1A) has no mean velocity component (μ(t) = 0) and a real, non-negative relaxation parameter α. Defined as α = 1 τ , τ represents a characteristic time scale of auto-correlation [1, 2]. The parameter β has units of velocity × time−1/2 which makes it difficult to interpret biologically. However, the mean squared speed of the UCVM is given by η2 ≡ lim t→∞ 〈 |v(t)|2 〉 = β2τ , such ...

In this paper we use the Density Gradient (DG) simulation approach to study, in 3-D, the effect of local oxide thickness fluctuations on the threshold voltage of decanano MOSFETs on a statistical scale. The random 2-D surfaces used to represent the interface are constructed using the standard assumptions for the auto-correlation function of the interface. The importance of the Quantum Mechanica...

In this paper we use the Density Gradient (DG) simulation approach to study, in 3-D, the effect of local oxide thickness fluctuations on the threshold voltage of decanano MOSFETs on a statistical scale. The random 2-D surfaces used to represent the interface are constructed using the standard assumptions for the auto-correlation function of the interface. The importance of the Quantum Mechanica...

This paper investigates one problem arising from ubiquitous sensing: can the position of a set of randomly placed sensors be automatically determined even if they do not have an overlapping field of view. (If the view overlapped, then standard stereo auto-calibration can be used.) This paper shows that the problem is solvable. Distant moving features allow accurate orientation registration. Giv...