Near Optimal Receive Antenna Selection Scheme for MIMO System under Spatially Correlated Channel

Spatial correlation is a critical impairment for practical Multiple Input Multiple Output (MIMO) wireless communication systems. To overcome from this issue, one of the solutions is receive antenna selection. Receive antenna selection is a low-cost, low-complexity and no requirement of feedback bit alternative option to capture many of the advantages of MIMO systems. In this paper, symbol error rate (SER) versus signal to noise ratio (SNR) performance comparasion of proposed receive antenna selection scheme for full rate non-orthogonal Space Time Block Code (STBC) is obtained using simulations in MIMO systems under spatially correlated channel at transmit and receive antenna compare with several existing receive antenna selection schemes. The performance of proposed receive antenna selection scheme is same as conventional scheme and beat all other existing schemes

Revolution Technique for Internet Of Things 6LowPAN

The Internet of Things is a concept originally coined and introduced by MIT, Auto-ID Centre and intimately linked to RFID and electronic product code (EPC) Its all about physical items talking to each other.From any time ,any place connectivity for anyone, we will now have connectivity for anything. IOT is Best things According to some beneficial purpose just like a Dynamic control of industry and daily life ,Improve the resource utilization ratio ,Better relationship between human and nature, Forming an intellectual entity by integrating human society and physical system Flexible configuration, P&P.The network formed by things/objects having identities(like any object), virtual personalities operating in smart spaces using intelligent interfaces(its nothing but a 6lowpan n/w) to connect and communicate with the users, social and environmental contexts(its nothing but a WSN).So IOT should be full fill in our practical life through implementation of 6lowpan stack in WSN

Comparative analysis and implementation of structured edge active contour

This paper proposes modified chanvese model which can be implemented on image for segmentation. The structure of paper is based on Linear structure tensor (LST) as input to the variant model. Structure tensor is a matrix illustration of partial derivative information. In the proposed model, the original image is considered as information channel for computing structure tensor. Difference of Gaussian (DOG) is featuring improvement in which we can get less blurred image than original image.In this paper LST is modified by adding intensity information to enhance orientation information. Finally Active Contour Model (ACM) is used to segment the images. The proposed algorithm is tested on various images and also on some images which have intensity inhomogeneity and results are shown. Also, the results with other algorithms like chanvese, Bhattacharya, Gabor based chanvese and Novel structure tensor based model are compared.It is verified that accuracy of proposed model is the best. The biggest advantage of proposed model is clear edge enhancement

Feature Based Multi View Image Registration by Detecting the Feature with Fuzzy Logic for Corner Detection

This paper aim to Present accurate feature base registration by detecting the feature with Fuzzy logic for corner detection. Image registration is process used to match two or more partially overlapping image taken for example at different times ,from different sensors, or from different viewpoints and stitch these image into one panoramic image comprising whole scene. It is a fundamental image processing technique very useful in integrating information from different sensors, finding changes in image taken at different time, inferring three-dimensional information from stereo images and recognizing model-based objects. The paper presents a corner detection algorithm for feature detection which employs such fuzzy reasoning. The robustness of the proposed algorithm is compared to well-known conventional Harris corner detectors and its performance is also tested over a noise image. DOI: 10.17762/ijritcc2321-8169.150616

Validation of Targets Related to Maternal and Child Health Services in the Rural Area of the Bhavnagar District, Gujarat: A Cross Sectional Study

Introduction: Despite ‘Target free approach’ being implemented since more than 20 years, the targets related to MCH services are still decided and distributed by top to bottom approach in Gujarat. Irrational distribution of targets may lead to under or over achievement of the targets by SCs and PHCs. Objective: To validate the targets related to MCH services in the rural areas of the Bhavnagar district, Gujarat for the year 2019-2020. Method: A cross-sectional study was carried out to count the actual number of MCH beneficiaries by visiting each house of the selected villages (One village each from a good performing and a poor performing SCs of two randomly selected PHCs from each block of Bhavnagar district) and interviewing a family member of the household. This numbers from the villages were compared with the targets assigned to the respective villages. Results: The actual number of antenatal women was found to be 26.6% lower and 38.8% higher than the assigned targets for early pregnancy registration in the villages of poor and good performing SCs respectively. Similarly the actual number of deliveries was found to be 47.2% lower than the assigned targets for institutional deliveries in poor performing SCs. It was also observed that the actual number of children eligible for full immunization in the respective area was found to be much lower in both the groups of SCs than the assigned targets. Conclusion: Assigned MCH targets were found improper in the villages of Bhavnagar district

Two-year safety and efficacy of Indigenous Abluminus Sirolimus Eluting Stent. Does it differ amongst diabetics? – Data from en-ABLe- REGISTRY

Introduction: To evaluate the efficacy/safety profile of the Abluminus DES+ over 2-years follow-up in the "real-world" scenario in diabetics as compared to non-diabetics. Methods: In prospective, all-comers, open-label registry conducted at 31 sites, patients were analyzed for 1 & 2-year outcomes with the primary endpoint defined as 3P-MACE of CV death, target vessel related myocardial infarction (TV-MI), ischemia-driven target lesion revascularization (TLR)/target vessel revascularization (TVR) apart from Stent thrombosis (ST). Results: Of 2500 patients of PCI with 3286 Abluminus-DES+, 1641 (65.64%) were non-diabetics while859 (34.36%) were diabetics. The 3-P MACE for the cohort at 1 & 2 years were 2.9%, and 3.16%; TLR/TVR - 1.4% at both the intervals for 2493 patients at 2 yrs. follow-up. TV-MI & ST were 0.36% and0.56% at 1st and 2nd year respectively. The 3P-MACE was lower in non-diabetics at 1 & 2 years (2.3%vs 4.2%; 2.4% vs 4.7% respectively). For components of MACE, CV mortality (0.9 vs 1.9% at 1 yr ; 1.0vs 2.1% at 2 years) was significant (P < 0.05) while TLR (1.1 vs 1.9% at 1 yr. & 1.1 vs 2.1% at 2 yrs.) and TV-MI (0.9 vs 1.9% at 1 yr. & 1 vs 2.1% at 2 years) were similar for diabetics and non-diabetics so was ST (P > 0.05). Conclusion: Abluminus-DES+ showed excellent 2-year safety and efficacy with low 3-P MACE which was higher in diabetics driven by higher CV death but similar TLR, TV-MI and ST

Performance of nonlinear detectors in spatial multiplexing for spatially correlated channels

Spatial multiplexing is used in multiple input multiple output (MIMO) wireless systems to increase the data rate. Some nonlinear detectors, such as minimum mean square error (MMSE) Vertical Bell laboratories layered space-time (VBLAST), Maximum A-Posteriori (MMSE VBLAST MAP), and MMSE Improved VBLAST detectors are used in place of a over more complex detector, such as maximum likelihood detector or singular value decomposition based detector. We have presented simulation results of MIMO symbol error rate versus average SNR for MMSE VBLAST MAP and MMSE Improved VBLAST schemes assuming spatially correlated channels for M-ary QAM. We have observed that the performance of MMSE VBLAST MAP and MMSE Improved VBLAST detectors is almost identical in spatially uncorrelated channels. However, in the case of spatially correlated channels, MMSE Improved VBLAST outperforms MMSE VBLAST MAP. We have also seen that complexity of the Improved VBLAST algorithm is higher than the complexity of VBLAST MAP algorithm