Noise Pollution and Its Impact on Human Health and Social Behavior using Systems Approach-A Case Study in Kurnool City

The main objective of this paper is to evaluate the noise pollution problem in the Kurnool city of Andhra Pradesh, India and its effect on the public. Transportation and horn used in vehicle are the major source of noise pollution. Noise is one of the environmental problems that make daily life uncomfortable. It is an unidentified pollution that causes adverse effects on human life. Noise interferes in complex task performance, modifies social behavior and causes annoyance. Six different locations are chosen for study. Noise levels are monitored at different times in the day and night. Bronfenbrenner’s systems approach is used to illustrate the socio behavioral changes in human life due to noise. Keywords: Traffic noise – severe health issues - effect on social behavior - systems approach

Optimized Supervised ML for Medicinal Plant Detection - An FPGA Implementation

Medicinal plants have a huge significance today as it is the root resource to treat several ailments and medical disorders that do not find a satisfactory cure using allopathy. The manual and physical identification of such plants requires experience and expertise and it can be a gradual and cumbersometask, in addition to resulting in inaccurate decisions. In an attempt to automate this decision making, a data set of leaves of 10 medicinal plant species were prepared and the Gray-level Co-occurence Matrix (GLCM) features were extracted. From our earlier implementations of the several machine learning algorithms, the k-nearest neighbor (KNN) algorithm was identified as best suited for classification using MATLAB 2019a andhas been adopted here. Based on the confusion matrices for various k values, the optimum k was selected and the hardware implementation was implemented for the classifier on FPGA in this work. An accuracy of 88.3% was obtained for the classifier from the confusion chart. A custom intellectual property (IP) for the design is created and its verification is done on the ZedBoard for three classes of plants

Prevalence and risk factors for depression among antenatal women during third trimester of pregnancy in a tertiary care centre

Background: With the rising incidence of Maternal deaths due to suicide as evident from reports of Kerala state confidential review of maternal deaths, there is a felt need for screening for depression in study antenatal population. Though there have been various screening tools used, a simplified tool validated in study population was not used in study antenatal women till now. The objective of this study was to estimate the prevalence of depression among antenatal women admitted in the department of obstetrics and gynecology, Government Medical College, Thrissur and also to study the risk factors associated with depression in the study population.Methods: A questionnaire based cross sectional observational study was conducted among 100 antenatal women in their third trimester. PHQ-9 questionnaire was used to screen for depression and the information regarding risk factors was collected from the patient, her caregivers and from clinical records. Data analysis was done using EPI-INFO/SPSS software.Results: Prevalence of depression among hospitalized mothers: 53%. Most cases (70%) had: mild depression (PHQ Score: 5-9). Only very few (2%) of them had severe depression (PHQ score: more than 20). 9% had: moderately severe depression (PHQ score: 15-19). 19% had: moderate depression (PHQ score: 10-14). Statistically significant risk factors identified in this study were fetal gender preference, anxiety about labour process, anxiety about labour pain, anxiety about making the baby a part of their life and anxiety about baby’s health.Conclusions: The prevalence of depression among hospitalized mothers using PHQ-9 scale is high (53%). Screening for depression was found to be feasible and can be made a part of routine antenatal care so that appropriate interventions can be provided to improve maternal mental health and thereby prevent the maternal mortality occurring due to suicides

COMPARISON OF DIRECT TORQUE CONTROL, BAND CONSTRAINED AND PREDICTION TECHNIQUES OF A 3-Ø INDUCTION MOTOR

Direct torque control (DTC) is one of the most excellent control strategies of torque control in induction machine. It is considered as an alternative to the field oriented control (FOC) or vector control technique. These two control strategies are different on the operation principle but their objectives are the same. They aim to control effectively the torque and flux. Torque control of an induction machine based on DTC strategy has been developed and a comprehensive study is present in this project. In the paper, a novel technique for the direct torque control (DTC) of an induction motor is proposed, which overcomes the trouble of high torque ripple afflicting the conventional DTC technique. With the novel technique, the inverter voltage vector selected from the switching table is applied for the time interval needed by the torque to reach the upper (or the lower) limit of the band, where the time interval is calculated from a suitable modeling of the torque dynamic     By this approach, the control system emulates the operation of a torque hysteresis controller of analog type since the application time of the inverter voltage vector is dictated by the allowed torque excursion and not by the sampling period. In this project we are use three techniques

Comparative cost and returns of tractor owned and hired farms in Tungabhadra project (TBP) area of Karnataka, India

Mechanization saves time in completing different operations, which gives the crop more time to mature, allows the farmer to be more flexible in his farming operations and facilitates multi cropping. At present in India, trac-tors are being used for tillage on about 22.78 per cent of the total land area and sowing about 21.30 per cent of total area. Custom hiring service (CHS) is a popular method of gaining short-term control of farm machineries. The CHS gained importance mainly due to rise in the cropping intensity and drop in average landholdings. The productivity of major crops is higher on the tractor owning farms due to timely and sufficient availability of tractor services and 61.67 per cent of large farmers and 11.67 per cent of medium farmers own tractors. The net farm income is higher on tractor owning farms but input costs are low on custom hiring farms. It may be due to the high fixed costs and variable costs on tractor owning farms. The tractor charge was relatively same for all tractor drawn implements, it was ranging from `135.15/h to `142.11/h. The cost incurred was highest for rotavator (`574.93/h) followed by cage wheel puddler (`491.58/h) and MB plough (`462.58/h).The small and medium tractor hiring farms earned more net income. This shows that it is better for smaller farms to hire tractor services rather to have their own tractor CHS would constitute a reliable tool for implementing specific farming practices and obtaining a reasonable income

Cultural and morphological studies on Ponnampet leaf and neck blast isolates of Magnaporthe grisea (Herbert) barr on rice (Oryza sativa L.)

The study was carried out to standardize the optimal growth, sporulation and production of perfect stage of pathogen on different media. Among different media used such as Potato dextrose Agar (PDA), Oat meal Agar, Ragi flour agar, yeast extract + 2% soluble starch, Host extract + 2% soluble sucrose agar, Potato dextrose agar + Biotin + Thiamine and Rice flour agar, Oat meal agar and potato dextrose agar was found to be best media for radial growth and sporulation of M. grisea. Maximum conidia length (9.46?m) and breadth (7.36?m) was recorded in Oat meal agar followed by Potato dextrose agar and least conidia length (6.15 ?m) and breadth (5.11 ?m) was recorded in ragi flour media after 20 days of inoculation. Conidial size varied in leaf and neck blast isolates, the maximum mean colony diameter of 88.00mm and 89.16mm in neck and leaf blast was recorded in Oat meal agar respectively. The maximum sporulation mean index was observed in Oat Meal agar of 3.15 ?m in leaf and 3.20 ?m in neck blast was recorded. The best growth of the pathogen was recorded at optimum pH range from 6.0 - 7.0 and temperature of 27oC. Therefore oat meal agar media was found to be best among all the media used for growth, sporulation, conidial size and colony characters of M. grisea

Real-Time Anti Spoofing Face Detection with Mask Using CNN

As COVID-19 spread the whole way across the world, a significant number of us got mindful of how significant face covers are. Medical services authorities and nearby foundations from one side of the planet to the other are encouraging individuals to wear masks ,as it is the best way to forestall the transmission of the infection. Masks have without a doubt frustrated the facial-acknowledgment industry; the innovation has likewise adjusted. It might sound odd yet wearing a cover does not really prevent a PC from recognizing somebody. We are intending to prepare our model to recognize whether the pictures are genuine or fake one even though individuals are wearing face cover. In this paper, we intend to make a liveness detector equipped for spotting counterfeit faces. To make a liveness detector, we will prepare a deep learning neural network fit for recognizing genuine versus counterfeit appearances. It deals with two correlative spaces: RGB space and multi-scale Retinex (MSR) space. The RGB space contains the point-by-point facial surfaces, yet it is sensitive to illumination whereas the MSR pictures can adequately catch the high recurrence data, which is discriminative for face recognition

Teaching indicators to unravel the kinetic features of host-guest inclusion complexes

Both thermodynamic and kinetic insights are needed for a proper analysis of association and dissociation processes of host–guest interactions. However, kinetic descriptions of supramolecular systems are scarce in the literature because suitable experimental protocols are lacking. We introduce here three time-resolved methods that allow for convenient determination of kinetic rate constants of spectroscopically silent or even insoluble guests with the macrocyclic cucurbit[n]uril family and human serum albumin (HSA) protein as representative hosts

Incidence of Infectious Diseases in Patients Suffering from Renal Diseases

Background: Infection is an invasion of an organism’s body tissues by disease-causing agents, their multiplication, and the reaction of host tissues to the infectious agents and the toxins they produce. Patients with renal compromised states are more susceptible to infection than normal individuals. In the pre-dialysis era, about 45% of patients with the renal compromised state suffering from infection required hospitalization, while a total of about 78% of the enrolled subjects needed hospitalization. It was assumed that the debility caused by the uremic state increased the risk of infection, and the reversal of uremia would reduce the risk of infection.Aim: The main aim of the study is to report the incidence of infectious diseases in patients with renal compromised state and appropriate measures to be considered to control infectious conditions.Materials and Methods: The study was carried out as prospective and cross-sectional studies. During the study period, a total of 195 subjects were examined with the renal compromised state, of which 108 subjects were suffering from infectious co-morbidity, and were enrolled based on inclusion and exclusion criteria, which includes in-patients, out-patients, and patients on regular dialysis.Results: This shows the percentage prevalence of infections in patients with the renal compromised state is 55.38. Patients were found to show various infectious states.Conclusion: The conclusion shows the probability of encountering a subject with renal compromised state along with co-morbid infection is 0.55. Evidence-based international guidelines are of great value and are instrumental in helping reduce health-care-associated infections.Keywords: Incidence of infectious diseases, Renal compromised state, Renal disease