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Aluminum doped cadmium selenide tin films of different compositions, (0.1-1.0 mol %) deposited by dip coating method on cleaned glass substrates at room temperature. All the films are polycrystalline nature having hexagonal structure. For all the films the preferred orientation is (100). Some other orientations like (101), (110), (112) (202) (203) are also observed in the films. The values of interplanar distance, dislocation density, microstrain, lattice parameters, volume of unit cell, number of crystallites per unit area and particle size of the aluminum doped thin films were calculated and their variation with dopant concentration was studied. Interplanar distance, intensity, lattice parameters, volume of unit cell and particle size increases up to 0.25mol % of aluminum. Microstrain, dislocation density and number of crystallite per unit area decreases up to 0.25mol % aluminum concentration
Aluminum Doped CdSe Thin Films: Structural Characterization
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ow-a-days data volumes are growing rapidly in several domains. Many factors have contributed to this growth, including inter alia proliferation of observational devices, miniaturization of various sensors ,improved logging and tracking of systems, and improvements in the quality and capacity of both disk storage and networks .Analyzing such data provides insights that can be used to guide decision making. To be effective, analysis must be timely and cope with data scales. The scale of the data and the rates at which they arrive make manual inspection infeasible. As an educational management tool, predictive analytics can help and improve the quality of education by letting decision makers address critical issues such as enrollment management and curriculum Development. This paper presents an analytical study of this approach’s prospects for education planning. The goals of predictive analytics are to produce relevant information, actionable insight, better outcomes, and smarter decisions, and to predict future events by analyzing the volume, veracity, velocity, variety, value of large amounts of data and interactive exploration.
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Smita Dey (1)
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Aluminum doped cadmium selenide tin films of different compositions, (0.1-1.0 mol %) deposited by dip coating method on cleaned glass substrates at room temperature. All the films are polycrystalline nature having hexagonal structure. For all the films the preferred orientation is (100). Some other orientations like (101), (110), (112) (202) (203) are also observed in the films. The values of interplanar distance, dislocation density, microstrain, lattice parameters, volume of unit cell, number of crystallites per unit area and particle size of the aluminum doped thin films were calculated and their variation with dopant concentration was studied. Interplanar distance, intensity, lattice parameters, volume of unit cell and particle size increases up to 0.25mol % of aluminum. Microstrain, dislocation density and number of crystallite per unit area decreases up to 0.25mol % aluminum concentration
Aluminum Doped CdSe Thin Films: Structural Characterization
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ow-a-days data volumes are growing rapidly in several domains. Many factors have contributed to this growth, including inter alia proliferation of observational devices, miniaturization of various sensors ,improved logging and tracking of systems, and improvements in the quality and capacity of both disk storage and networks .Analyzing such data provides insights that can be used to guide decision making. To be effective, analysis must be timely and cope with data scales. The scale of the data and the rates at which they arrive make manual inspection infeasible. As an educational management tool, predictive analytics can help and improve the quality of education by letting decision makers address critical issues such as enrollment management and curriculum Development. This paper presents an analytical study of this approach’s prospects for education planning. The goals of predictive analytics are to produce relevant information, actionable insight, better outcomes, and smarter decisions, and to predict future events by analyzing the volume, veracity, velocity, variety, value of large amounts of data and interactive exploration.
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In this paper, we introduce an architecture of pre-encoded multipliers for Digital Signal Processing applications based on off-line encoding of coefficients. To this extend, the Non-Redundant radix-4 Signed-Digit (NR4SD) encoding technique, which uses the digit values {1; 0; +1; +2} or {-2; -1; 0; +1}, is proposed leading to a multiplier design with less complex partial products implementation. Extensive experimental analysis verifies that the proposed pre-encoded NR4SD multipliers, including the coefficients memory, are more area and power efficient than the conventional Modified Booth scheme.
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In the current scenario of IP core based SoC, to test the CUT we need to communication link between Circuit Under Test and ATPG, so before applying to actual DUT. If there is a problem with this link, there may be a lip in bit of test data. Compared to original test data, if there is a bit lip in the original data, the codeword may change and hence the decompressed data will have a large number of bit deviation. This deviation in bits can severely degrade the test quality and overall fault coverage which may affect yield. The error resilience is the capability of the test data to resist against such bit lips. Here in this paper, the earlier methods of error resilience is compared and a Hamming code based error resilience technique is proposed to improve the error resilience capacity of compressed test data. This method is applied on Huffman code based compressed test data of widely used ISCAS benchmark circuits. The fault coverage measurement results show the effectiveness of the proposed method. The basic goal here is to survey the effect of bit lips on fault coverage and prepare a platform for further development in this avenue.
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In this paper, we introduce an architecture of pre-encoded multipliers for Digital Signal Processing applications based on off-line encoding of coefficients. To this extend, the Non-Redundant radix-4 Signed-Digit (NR4SD) encoding technique, which uses the digit values {1; 0; +1; +2} or {-2; -1; 0; +1}, is proposed leading to a multiplier design with less complex partial products implementation. Extensive experimental analysis verifies that the proposed pre-encoded NR4SD multipliers, including the coefficients memory, are more area and power efficient than the conventional Modified Booth scheme.
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