A Review on Wireless Sensor Networks

The study of wireless sensor networks is challenging in that it requires an enormous breadth of knowledge. A wireless sensor network (WSN) is a computer network consisting of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants at different locations. The development of wireless sensor networks was originally motivated by military applications such as battlefield surveillance. However, wireless sensor networks are now used in many civilian application areas, including environment and habitat monitoring, healthcare applications, home automation and traffic control. Keywords: WSN, Senso

Response of RLC network circuit with steady source via rohit transform

The electric network circuits are designed by using the elements like resistor R, inductor L, and capacitor Ϲ. There are a number of techniques: exact, approximate, and purely numerical available for analyzing the R L Ϲ network circuits. Since the application of numerical method becomes more complex, computationally intensive, or needs complicated symbolic computations, there is a need to seek the help of integral transform methods for analyzing the RLϹ network circuits. Integral transform methods provide effective ways for solving a variety of problems arising in basic sciences and engineering. In thispaper, a new integral transform Rohit transform is discussed for obtaining the response of a series RLϹ electric network circuit connected to a steady voltage source, and a parallel R L Ϲ electric network circuit connected to a steady current source. The response of a series R L Ϲ network circuit connected to a steady voltage source via the application of Rohit transform will provide an expression for the electric current, and that of a parallel R L Ϲ network circuit connected to a steady current source will provide an expression for the voltage across the parallel RLϹ electric network circuit. The nature of the response of such series (or parallel) network circuits is determined by the values of R, L, and Ϲ of the electric network circuit. The Rohit transform will come out to be a powerful technique for analyzing such series or parallel electric network circuits with steady voltage or current sources

Modeling the relationship between air quality and intelligent transportation system (ITS) with artificial neural networks.

Environmental or air quality impacts of Intelligent Transportation Systems (ITS) are very difficult to measure. Some researchers have attempted to quantify the effects of individual ITS application on emissions; yet, the effects of ITS as a whole on ambient air quality have not been investigated. The objective of this research was to model the relationship between ITS and ambient air quality. The multiple Artificial Neural Networks (ANN) training with the data yielded a model for predicting the air quality. In addition, the ANN made the measurement of the effect of ITS on air quality possible. Data pertaining to sixty US cities (urbanized area) were used for this research. Input variables used were related to transportation and local characteristics, and ITS applications. Output variables were the annual average concentrations of CO, Ozone, and N02 in ambient air. The K-fold cross validation technique was used to train the ANN. The results of ANN model were compared with that of a Multiple Regression (MR) model showing the supremacy of ANN over MR. The ANN model results show that the Mean Absolute Errors (MAEs) in prediction vary from 5 to 20 %. This variance is justified since the factors related with industries, which contribute significantly to air pollution, have not been taken into consideration in this study. There were some unusual findings: in contrast to the common assumptions, N02 concentration increases with ITS intensity, and Ground Level Ozone concentration, in ambient air, seemed to be more transportation-dependent as compared with that of CO and N02• A recommendation for further research on this topic is to include more input variables, especially those which are relatcd with industries, to improve the accuracy of prediction. Scientific experimentations have also been recommended to corroborate the unusual findings

ProtVirDB: a database of protozoan virulent proteins

Abstract Summary: ProtVirDB is a comprehensive and user-friendly web-based knowledgebase of virulent proteins belonging to protozoan species. The database will facilitate research and provide an integrated platform for comparative studies of virulent proteins in different parasitic protozoans and organize them under a unifying classification schema with functional categories. Remarkably, one-third of the protein sequences in the database showed presence of either mono- or hetero-repeats, or both concomitantly—hence reiterating the importance of repeats in parasite virulence mechanisms. A number of useful bioinformatics tools including BLAST and tools for phylogenetic analysis are integrated with the database. With the rapidly burgeoning interest in the pathogenesis mechanisms of protozoans and ongoing genome sequencing projects, we anticipate that the database will be a useful tool for the research community. Availability: http://bioinfo.icgeb.res.in/protvirdb Contact: [email protected] Supplementary information: Supplementary data are available at Bioinformatics onlin

Structural Changes and Ferroelectric Properties of BiFeO₃-PbTiO₃ Thin Films Grown via a Chemical Multilayer Deposition Method

Thin films of (1-x)BiFeO3-xPbTiO3 (BF-xPT) with x ~ 0.60 were fabricated on Pt/Si substrates by chemical solution deposition of precursor BF and PT layers alternately in three different multilayer configurations. These multilayer deposited precursor films upon annealing at 700{\deg}C in nitrogen show pure perovskite phase formation. In contrast to the equilibrium tetragonal structure for the overall molar composition of BF:PT::40:60, we find monoclinic structured BF-xPT phase of MA type. Piezo-force microscopy confirmed ferroelectric switching in the films and revealed different normal and lateral domain distributions in the samples. Room temperature electrical measurements show good quality ferroelectric hysteresis loops with remanent polarization, Pr, of up to 18 {\mu}C/cm2 and leakage currents as low as 10-7 A/cm2.Comment: 14 Pages and 6 figure

Aspect-Based Sentiment Analysis using Machine Learning and Deep Learning Approaches

Sentiment analysis (SA) is also known as opinion mining, it is the process of gathering and analyzing people's opinions about a particular service, good, or company on websites like Twitter, Facebook, Instagram, LinkedIn, and blogs, among other places. This article covers a thorough analysis of SA and its levels. This manuscript's main focus is on aspect-based SA, which helps manufacturing organizations make better decisions by examining consumers' viewpoints and opinions of their products. The many approaches and methods used in aspect-based sentiment analysis are covered in this review study (ABSA). The features associated with the aspects were manually drawn out in traditional methods, which made it a time-consuming and error-prone operation. Nevertheless, these restrictions may be overcome as artificial intelligence develops. Therefore, to increase the effectiveness of ABSA, researchers are increasingly using AI-based machine learning (ML) and deep learning (DL) techniques. Additionally, certain recently released ABSA approaches based on ML and DL are examined, contrasted, and based on this research, gaps in both methodologies are discovered. At the conclusion of this study, the difficulties that current ABSA models encounter are also emphasized, along with suggestions that can be made to improve the efficacy and precision of ABSA systems

Clinical correlation between dry eye and pterygium: a study done at government medical college Jammu, Jammu and Kashmir, North India

Background: To study the prevalence of dry eye among the patients of pterygium and to find the clinical correlation between dry eye and pterygium.Methods: The study was conducted at postgraduate department of Ophthalmology of GMC Jammu over a period of one year. 90 pterygium patients and 180 age and sex matched controls presenting to the eye OPD of GMC Jammu were included in the study. The TBUT, Schirmer’s test, basal tear secretion and Rose Bengal staining score were estimated in all patients. A TBUT of less than 10 seconds, a Schirmer’s test of less than 10mm, basal tear secretion of less than 10mm, Rose Bengal staining score of more than 3 were considered abnormal.Results: Redness 57 (63.33%) was the most frequently occurring symptom in pterygium patients followed by cosmosis 49 (54.44%). The mean TBUT, mean Schirmer’s, mean basal secretion and mean Rose Bengal staining score values were 9.88±3.39 seconds, 13.17±4.57mm, 10.11±4.81mm and 3.27±1.85 in pterygium patients and 14.22±3.99 seconds, 16.40±5.21mm, 12.19±5.05mm and 2.49±1.86 in the control group respectively. There was a statistically significant difference in the dry eye results between the pterygium patients and control groups (p<0.001). The odd’s ratio between dry eye and pterygium was 3.83, dry eye was present in 53 pterygium patients.Conclusions: The prevalence of dry eye in pterygium patients was 58.89% which suggests that there is a strong positive clinical correlation between dry eye and pterygium

End stage renal disease patients on haemodialysis profiled epidemiologically at medical college of sub-Himalayan region of India

Background: Mostly, end organ damage becomes the reason for morbidity and mortality among patients with non-communicable diseases (NCDs) due their chronicity. Derangement of renal function along with brain and heart damage are considered to be a significant problem of NCDs. The objectives of this study were on this background of end stage renal disease (ESRD) as a common complication for common NCDs, present study was planned to study the distribution of responsible NCDs.Methods: Over three-year period, all the cases reported GFR <15ml/min/1.73m2 were studied.Results: Total 100 patients (male:65) were studied with mean age of 51.0±13.0 years. Diabetes mellitus (38.0%), hypertension (28.0%), and glomerulonephritis (16.0%) were three leading cause for ESRD. Idiopathic cause was observed among 12.0% patients. Fifteen percent patients could not survive.Conclusions: NCDs mainly diabetes mellitus and hypertension observed to be most common cause for ESRD