Mimo Detection

The use of digital wireless communication systems has become more and more common during recent years. A multiple-input-multiple-output (MIMO) system techniques can be implemented to enhance the capacity of a wireless link. We have investigated the performances of MIMO detectors : Linear detectors(ZF detector, MMSE detector), SIC(Successive Interfer- ence Cancellation) signal detectors, Maximum Likelihood detector, Sphere decoding. In SIC signal detection we use MMSE weight matrix

Design of Fractional Order Digital Differentiators and Integrators Using Indirect Discretization

Mathematics Subject Classification: 26A33, 93B51, 93C95In this paper, design of fractional order digital differentiators and integrators using indirect discretization is presented. The proposed approach is based on using continued fraction expansion to find the rational approximation of the fractional order operator, s^α. The rational approximation thus obtained is discretized by using s to z transforms. The proposed approach is tested for differentiators and integrators of orders 1/4 and 1/2. The results obtained compare favorably with the ideal characteristics

A New Modified Collection Selection Algorithm using Optimal Term Weight for Web based Applications

As the number of electronic data collections available on the internet increases so does the difficulty of finding the right collection for a given query Often the first time user will be overwhelmed by the array of options available and will waste time hunting through pages of collection names followed by time reading results pages after doing an adhoc search Collection selection using optimal weight methods try to solve this problem by suggesting the best subset of collections to search based on a query This is of importance to fields containing large number of electronic collections which undergo frequent change and collections that cannot be fully indexed using traditional methods such as spiders This paper presents a solution to these problems of selecting the best collections and reducing the number of collections needing to be searche

Validation of Molecular Markers Genetically Linked to S-Cytoplasm and Restoration-of-fertility (Rf) Loci in Hot Pepper (Capsicum annuum L.)

Existence of CGMS system in hot pepper is due to the rearrangements in the mitochondrial genome and is largely used in economized and pure F 1 hybrid seed production around the world. The orf456, a new ORF present at flanking region of the coxII gene at the 3’ end, was distinguished male sterile cytoplasm in hot peppers along with atp6-2gene. In the current study, eighteen pepper genotypes (nine each of A and corresponding B lines) of varied origin were used to validate with two male sterile cytoplasm (S-cytoplasm) specific sequence characterised amplified region (SCAR) markers viz., atp6-2 (875 bp) and orf456 (456 bp) and one restoration-of-fertility (Rf) locus specific marker, CRF (550 bp). The results clearly showed that the presence of CMS-S-cytoplasm and absence of restoration-of-fertility (Rf) gene in the pepper genotypes studied and is comparable with the phenotypic data. In view of the outcomes it has been reasoned that the accessible S and Rf markers available in the public domain are reproducible and can be promptly utilized for marker assisted selection (MAS) in hot pepper crop improvement program

A Revise On Ambler Stream Behavior Beside Pavement

We can find mixed traffic conditions, which mean that the flow routes include all kinds of vehicles like bicycles, bikes, cars, etc. During peak hours, the influx of NMVs is high. The presence of NMV in the transportation system affects traffic characteristics such as speed, volume and river flow. In order to plan a route, it is essential to understand how to travel. For mixed traffic conditions, the river behaviour is difficult to understand. In this article, an attempt is made to study the behavioural characteristics of NMVs in river mixtures. The entire project consists of two parts. The first is the sample section and the last is the sample section test. The first part of the study includes studying the basic foundations and finding potentials of the group and collateral settlement of the group to obtain the information obtained from the various parts of Guntur. The change in NMV ratio was viewed as a problem present in the model such as velocity, density, and flow. In a background study, it was observed that in one sector of transport traffic, the large number of NMVs occupying the left side and MVs occupying most of the area due to our Indian transport behaviour are left-handed and easy for the MV to pass slowly. In the case of two lanes intersecting, the traffic limit is available in the middle section but the lower part is in the left and right parts in light of the fact that vehicles are in fill in that

MHD Boundary Layer Slip Flow over a Flat Plate with Soret and Dufour Effects

The present paper studies the effects of Soret and Dufour on MHD boundary layer slip flow over a flat plate. The governing partial differential equations are converted to a set of nonlinear ordinary differential equations by using similarity transformations. Then, these equations are solved numerically by implicit Finite Difference Scheme. The numerical solutions for Velocity, Temperature and Concentration profiles for the related essential physical parameters are visualized through graphs and discussed. Results show that the velocity rises whereas the temperature and concentration reduces with the respective slip parameters. The increase in Soret number or decrease in Dufour number reduces the temperature and enhances the concentration of the fluid

Feature based-Learning with Data Increasing for video Recommendation and Computing

Image content analysis is crucial for determining the reliability of a link between two videos. Video characteristics are increasingly being used in image and video representation as custom pre-trained picture and video convolutional neural networks become generally available. People also have limited access to video editing tools for a variety of reasons, such as ownership and privacy concerns. You don't need to go back to the source video data to use the refined features again. An affine transformation, for instance, can be used to map a well-studied function onto an unfamiliar domain. To do this, we use a unique triplet failure in conjunction with the re-learning strategy. We propose a contemporary data augmentation method that may be applied to functionality on various frames for videos as an alternative to employing specific motion data. Extensive testing on the well-known Hulu content-based Video Relevance challenge demonstrates the process's efficacy and provides solid evidence of state-of-the-art performance