Large space antenna technology applied to radar-imaging, rain-rate measurements, and ocean wind sensing

During the last decade, the utility of spaceborne microwave remote sensing systems for ocean windspeed measurement, ocean wave imaging and sea ice studies was demonstrated. Development of large space antennas offers some interesting possibilities for rain rate measurements, ocean and ice studies, and radar imaging. The joint use of active and passive sensors using the 15 m antenna for ocean, ice, and soil moisture studies; rain rate measurements; and radar imaging is considered. Verification of the frequency agile rain radar concept with Shuttle offers the possibility of much needed rain rate statistics over the ocean

Investigation of radar backscattering from second-year sea ice

The scattering properties of second-year ice were studied in an experiment at Mould Bay in April 1983. Radar backscattering measurements were made at frequencies of 5.2, 9.6, 13.6, and 16.6 GHz for vertical polarization, horizontal polarization and cross polarizations, with incidence angles ranging from 15 to 70 deg. The results indicate that the second-year ice scattering characteristics were different from first-year ice and also different from multiyear ice. The fading properties of radar signals were studied and compared with experimental data. The influence of snow cover on sea ice can be evaluated by accounting for the increase in the number of independent samples from snow volume with respect to that for bare ice surface. A technique for calculating the snow depth was established by this principle and a reasonable agreement has been observed. It appears that this is a usable way to measure depth in snow or other snow-like media using radar

Real Time Domestic Power Consumption Monitoring using Wireless Sensor Networks

This paper subsumes the implementation of automation in tracking the electrical consumption data of household systems over the network (WEB). This could sub-sequentially cut down the manual work involved in the process of collecting no: of units consumed from each house, thereby avoiding the manual costs and errors by building an automatic network access. The installation of this system is quite an easy task, which do not need much hardware work. The key elements that make this system are Current sensor and Voltage sensor interfaced to an Arduino board (A General Purpose Micro Controller board) with an Ethernet shield and a WIFI Router for transmission of data wirelessly to the server for storing consumption values into the database. Hosting web pages with the database connectivity will make the administrator generate electricity bill automatically that facilitates user’s to view and pay his electricity bill online

Chronic idiopathic hyperphosphatasia with unusual dental findings: a case report

Chronic idiopathic hyperphosphatasia(CIH) or juvenile Paget disease is believed to be a distinct disease characterized by an increase in the serum alkaline phosphatase, cortical thickening and bowing of the long bones, especially the femora. It is a rare autosomal recessive bone disorder, with excessive bone resorption and bone formation. Skeletal malformations in the legs may cause problems in walking and may eventually result in short stature. The radiographic appearances include widening of the diaphyses, vertebral osteoporosis, acetabular protrusion, and thickening of the skull vault. Intensive bisphosphonate treatment prevented the development of deformity and disability but there is no published data on long-term efficacy. Bisphosphonate therapy showed suppression of bone turnover, doubling of trabecular thickness with no mineralization defect, and no osteopetrosis. We report a female of 21 years, a case of chronic idiopathic hyperphosphatasia congenital form, with a history of fracture, short stature and malformed teeth. She had a waddling gait, bone deformities, kyphoscoliosis and curvature of her limbs

On reconciling ground-based with spaceborne normalized radar cross section measurements

©2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.This study examines differences in the normalized radar cross section, derived from ground-based versus spaceborne radar data. A simple homogeneous half-space model, indicates that agreement between the two improves as 1) the distance from the scatterer is increased; and/or 2) the extinction coefficient increases

DESIGN AND ANALYSIS OF AUTOMOTIVE POWERTRAIN USING STATIC, MODEL, THERMAL AND TRANSIENT STRUCTURE ANALYSIS TECHNIQUES

In a motor vehicle, the term power train describes the main components that generate power and deliver it to the road surface, water, or air. This includes the engine, transmission, drive shafts, differentials, and the final drive (drive wheels, continuous track as in military tanks or caterpillar tractors, propeller, etc.). Sometimes "power train" is used to refer to simply the engine and transmission, including the other components only if they are integral to the transmission. This project aim is to explain how components function and then represent their behavior through mathematical models based on the physics of their operation. Then, the components can be combined together as a complete power train system and the resulting model should provide an important tool to contribute to vehicle design. The design process was done in SOLIDWORKS 2015 and it includes parts such as flywheel, clutch and gearbox. Assembly model was imported into ANSYS WORKBENCH 14.5 to analyze on structural parts. It includes static, model and harmonic analyses are performed on power train. Then we concluded that which material is suitable for the design of Power train depends on the analysis results

Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties

This paper investigates quantile regression in the presence of non-convex and non-smooth sparse penalties, such as the minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD). The non-smooth and non-convex nature of these problems often leads to convergence difficulties for many algorithms. While iterative techniques like coordinate descent and local linear approximation can facilitate convergence, the process is often slow. This sluggish pace is primarily due to the need to run these approximation techniques until full convergence at each step, a requirement we term as a \emph{secondary convergence iteration}. To accelerate the convergence speed, we employ the alternating direction method of multipliers (ADMM) and introduce a novel single-loop smoothing ADMM algorithm with an increasing penalty parameter, named SIAD, specifically tailored for sparse-penalized quantile regression. We first delve into the convergence properties of the proposed SIAD algorithm and establish the necessary conditions for convergence. Theoretically, we confirm a convergence rate of $o\big({k^{-\frac{1}{4}}}\big)$ for the sub-gradient bound of augmented Lagrangian. Subsequently, we provide numerical results to showcase the effectiveness of the SIAD algorithm. Our findings highlight that the SIAD method outperforms existing approaches, providing a faster and more stable solution for sparse-penalized quantile regression

Study of various predictors influencing success with artificial insemination husband

Background: Infertility effects more than 180 million people world-wide and couples should be evaluated to focus on the modifiable factors and various interventions to optimize the results before switching to costly treatments. Artificial insemination husband is one such treatment where various prognostic factors determine the success. Methods: The present study was done in department of reproductive medicine and surgery GSL medical college .All infertile couples attending the clinic and satisfying inclusion and exclusion criteria after proper consent were enrolled for study. Various relevant prognostic factors determining outcome were analysed statistically using the chi square test, the Fischer exact test, and the one way ANNOVA test. Results: In present study, the prevalence of positive pregnancy after IUI procedure was 14.7%. The total pregnancy rate per cycle was 10.6%. Among prognostic factors total motile sperm count, semen preparation technique and first AIH cycle showed positive correlation with the outcome. Conclusions: According to the results of the current study, intrauterine insemination (IUI) can provide many infertile couples with an opportunity of parenting. Before beginning this type of therapy, it is crucial to make the right selection of cases and conduct a thorough assessment of the couples