Text detection and recognition in images is a research area which attempts to develop a computer system with the ability to automatically read text from images or videos. This problem is challenging due to the complex background and large variations of these components features like color, size, shape, orientation or texture. Here new proposed framework is explored which can automatically detect and recognize aligned text from urban scene images e.g.shop name,landmark,street.The proposed framework evaluated on new generated dataset.It consist of a three main step 1) image partition perform to segment text based on color information.2) character grouping to detect text character in every text string depend on character size differences, distance between neighboring characters.3) the detected text recognition using neural network. This proposed method efficiently and accurately detects and recognizes the text with a low false positive.
Keywords: - Text detection, preprocessing, segmentation, character recognition
De D. K. and Dikko A. B., (2012), An innovative technique of liquid purity analysis and its application to analysis of water concentration in alcohol-water mixtures and studies on change of activation energies of the mixtures, Applied Physics Research, Canadian Center of Science and Education.Vol.4 No.4 pp. 98 -114
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Starting with a model Hamiltonian for the system with equal spin singlet and triplet pairings based on quantum field theory and green function formalism, we obtain expressions for superconductivity and ferromagnetism parameters. The model exhibits a distinct possibility of the coexistence of superconductivity and ferromagnetism, which are two usually irreconcilable cooperative phenomena, however, recently ferromagnetism and superconductivity have been shown to coexist simultaneously in the newly discovered compounds such as UCoGe, UIr and UGe2 .The work is motivated by the recent experimental evidences below the superconducting phase temperature in a number of uranium-based superconductors. The theoretical results are then applied to show the coexistence of superconductivity and ferromagnetism in the intermetallic uranium-based compound UCoGe, UIr and UGe2. The limitations of the model are also discussed.
Keywords: · BCS Hamiltonian, green function formalism, Order parameters, Spin singlet and triplet state, Superconducting and ferromagnetic
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Bacterial cellulose (BC) was used as a modern carrier in immobilization of cell. The immobilization of Corynebacterium glutamicum using bacterial cellulose (BC) as a carrier was carried out in two steps: adsorption and incubation. The screening method Plackett-Burman Design was used to identify the significantly influenced factors and the experiments were designed by Response Surface Methodology having the Central Composite Design (RSM-CCD). The obtained immobilization parameters were the cell density of 6.6 billion clone form units per milliliter, the weight of BC of 10g/100mL, the adsorption time of 6.82 hours with the shaking speed of 150 rpm and immobilized cell was incubated at 300C for 3 days. The optimal efficiency of this immobilization reached 72.4% and the average density of cell on BC carrier was achieved 47.7 ± 0.02 billion clone form units per gram of finished product. These were fermented to receive L-lysine, the number reusing times of immobilized cell was eight, and the lysine field was 95% in the eighth time of reusing immobilized cell for fermentation with 26.032 ± 0.023 g/L and volumetric productivity was achieved 0.618 ± 0.100 g/(L.h). Furthermore, this immobile product was maintained under the suitable condition in the sterile water, pH = 7. After storing at 40C for 30 days, the percentage of cell survival was 80%.
Keywords: - bacterial cellulose, cell immobilization, Corynebacterium glutamicum, L-lysine, Plackett-Burman matrix, Response Surface Methodology (RSM) - Central Composite Design (CCD)
The moving vehicles detection and tracking is a necessity for collision-free navigation. Motion-based detection is challenging due to low signal to noise ratio in natural unstructured environments. This paper aims at real-time analysis to detect and track objects ahead for safety, motion detection, and target tracing. This paper describes of variation in distances between the camera and the objects in different parts of the scene (object depth) in surveillance videos. 'Vicinity Factor', is robust to noise and object segmentation. It can applied to estimate spatial thresholds and object size in different parts of the scene. A comprehensive approach to localizing target Objects in video under various conditions. I have investigated videos of day and night on different types of conditions showing that my approach is robust and effective in dealing with changes in environment and illumination and that real-time processing becomes possible.
Keywords: - Target Tracking, Object depth, spatial threshold.
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The suitable agro-climate conditions are making the Tripura State into second largest rubber producer in country, India. Rapid growth of rubber production and rubber based industries has resulted rapid economy growth of the State. Despite the derived economy benefit, the rubber based industry generates large quantities of effluents during the various stages of processing. The production process of commercial rubber products causes serious water pollution problems. Massive disposal of effluents in to inland water surface often causes damage to the precious water resources. Surface water resources are the greatest victims due to effluent of rubber processing industries. The present study is aimed to quantify the trend of deterioration of water quality within the study area and its resulting impacts on the surface water resources due to inland disposal of effluent from the rubber based industries of Bodhjungnagar Industrial Growth Centre. Major causes of deterioration of water quality are due to high BOD load, high concentration of suspended solid and nitrogen content. Different extents of acid usage in various sections of rubber processing industries are also responsible for pH variation and causing acidic effluent. Such a study is an attempt to redress the water pollution problem in the Bodhjungnagar Industrial Growth Centre.
Keywords: - Bodhjungnagar Industrial Growth Centre, Effluent, Rubber Industry, Water Pollution.
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