VISUAL MOVEMENT IDENTIFICATION PROCESS WITH REAL TIME PARAMETERS

Motion recognition can be used to look for the trajectory from the projectile, its orientation in accordance with the plane, its velocity and it is spin. It's very helpful in discovering the existence of any projectile in situation of high-speed video. Motion recognition is generally software based monitoring formula which, if this detects motions will signal the surveillance camera to start recording the big event or just shows the motion recognition using graphical method. Android application can be used for listen the audio begin to see the video and control the gate from remote location. It's stored within the principal room from the institution. MATLAB is the greatest tool to get this done type of operation because of its highly accurate and efficient nature. It really transforms our computers into Motion recognition system. It handles the idea of motion tacking using cameras instantly. This paper provides create motion recognition system using software. It handles the idea of motion tracking using cameras instantly. It is made to produce a customer identification system by which motion is detected MATLAB system reads predefined message

Climate change effects on Chickpea yield and its variability in Andhra Pradesh, India

Farmers usually do not know the precise output that is affected by climatic factors such as temperature and rainfall and are characterized by inter-annual variability, part of which is caused by global climate change. No study covers the influences of climate factors on yield and yield risk in the context of chickpea farming in Andhra Pradesh, India. In this context, this study aimed to investigate the trends in climate change variables during Rabi season (October to January, 1996-2020) and evaluated their variability on chickpea yields across different agro-climatic zones in Andhra Pradesh by employing Just and Pope production function. Four non-parametric methods-Alexandersson’s Standard Normal Homogeneity Test, Buishand’s Range Test, Pettitt’s Test and Von Neumann’s Ratio Test are applied to detect homogeneity in the data. Mann–Kendall (MK) test and Sen’s slope (SS) method were employed to analyze monthly rainfall trends and minimum and maximum temperature trends. Results of Just and Pope (panel data) quadratic and Cobb-Douglas methods revealed that monthly minimum temperature positively influenced the mean yield of chickpea (0.22% and 0.16%, respectively). However, rainfall (-0.41% and -0.31%) and maximum temperature (-0.08% and -0.04%) negatively influenced the mean yield of chickpea under quadratic and Cobb-Douglas models, respectively. Accordingly, rainfall (0.08% and 0.06%) and maximum temperature (0.83% and 0.72%) positively influenced the yield variability and minimum temperature (-0.77% and -0.67%) reduced yield variability of chickpea under quadratic and Cobb-Douglas models respectively. In view of these findings, it is imperative to advocate the farmers about the importance of cultivating drought-tolerant chickpea varieties, drought-proofing and mitigation strategies, micro-irrigation practices and improving their access to agro-meteorological information towards sustainable chickpea cultivation in Andhra Pradesh

Common fixed point theorems through generalized altering distance functions

In this paper we obtain a unique common fixed point theorem, for four self maps using a generalized altering distance function in four variables , which generalizes and improves the main theorem of Choudhury [2]. We also obtain a Gregus type common fixed point theorem for four maps as a corollary

STANDARDIZATION IN VITRO ANTIOXIDANT ACTIVITY AND BRINE SHRIMP LETHALITY OF A POLYHERBAL FORMULATION

Shakti drops an Ayurvedic polyherbal formulation is an effective medicine for immuno modulatory activity. The formulation was prepared in the laboratory with authenticated organic plant drugs. The standardization procedure was conducted on the basis of physicochemical parameters and antimicrobial studies as directed by Ayurvedic formulary of India. Antioxidant activity is further performed based on its prescribed dose in three In-vitro antioxidant models. Physical characters remained unaltered throughout study, In antimicrobial activity total aerobic count was found to be 18×101 CFU/mL and total fungal count was found to be <10 CFU/mL. It is devoid of all tested microorganism i.e. Staphylococcus aureus, Salmonella typhi, Pseudomonas aeruginosa, Escherichia coli tested. In antioxidant activity the results of the study suggest that the Shiakti drops has potent antioxidant and free radical scavenging activity justifying its use in Rasayana

Evaluation of Wound Healing Properties of Bioactive Fractions from the Extract of Butea monosperma (Lam) Stem Bark.

The study aims to evaluate the wound healing properties of bioactive fractions from the extract of Butea monosperma (Lam) stem bark. In this study the stem bark powder was extracted with ethanol, further the ethanolic extract was fractionated with different solvents (petroleum ether, benzene, chloroform and acetone) in increasing order of polarity. Thus prepared extracts were subjected to preliminary phytochemical analysis. The wound healing activity of the ethanolic extract and the fractions isolated from the stem bark of Butea monosperma were evaluated in excision, incision and dead space wound healing models using Albino wistar rats. The wound healing activity was assessed by the breaking strength in case of incision wounds, epithelialization and wound contraction in case of excision wound and granulation tissue dry weight, breaking strength and hydroxyproline content in case of dead space wound. The ethanolic extract and the acetone fraction showed the significant wound healing activity on all three wound models. The phytochemical investigations revealed the presence of alkaloids, tannins, flavonoids, phenolic compounds and steroids. The increased rate of wound contraction and hydroxyproline content in the ethanolic extract and the acetone fraction treated animals provides a scientific base to the ethno medicinal use of Butea monosperma, which is largely attributable to the additive or synergistic effect of their constituents. Keywords: Butea monosperma, Dead space wound, Excision wound, Incision wound

Evaluation of Wound Healing Properties of Bioactive Fractions from the Extract of Butea monosperma (Lam) Stem Bark.

The study aims to evaluate the wound healing properties of bioactive fractions from the extract of Butea monosperma (Lam) stem bark. In this study the stem bark powder was extracted with ethanol, further the ethanolic extract was fractionated with different solvents (petroleum ether, benzene, chloroform and acetone) in increasing order of polarity. Thus prepared extracts were subjected to preliminary phytochemical analysis. The wound healing activity of the ethanolic extract and the fractions isolated from the stem bark of Butea monosperma were evaluated in excision, incision and dead space wound healing models using Albino wistar rats. The wound healing activity was assessed by the breaking strength in case of incision wounds, epithelialization and wound contraction in case of excision wound and granulation tissue dry weight, breaking strength and hydroxyproline content in case of dead space wound. The ethanolic extract and the acetone fraction showed the significant wound healing activity on all three wound models. The phytochemical investigations revealed the presence of alkaloids, tannins, flavonoids, phenolic compounds and steroids. The increased rate of wound contraction and hydroxyproline content in the ethanolic extract and the acetone fraction treated animals provides a scientific base to the ethno medicinal use of Butea monosperma, which is largely attributable to the additive or synergistic effect of their constituents. Keywords: Butea monosperma, Dead space wound, Excision wound, Incision wound

PHYTOCHEMICAL SCREENING, ANTIOXIDANT AND ANTIBACTERIAL ACTIVITIES OF MILLINGTONIA HORTENSIS (L)

Objective: Millingtonia hortensis Linn (Bignoniaceae) is commonly known as cork tree and Akash neem. Aim of studies to determine the antioxidant activity and antibacterial activity.Methods: The antioxidant activity of different solvent extracts were measured by chemical analyses involving the assay of 1,1-diphenyl-2-picryhydrazyl (DPPH) radical scavenging activity and super oxide radical scavenging activity.Results: Phytochemicals (secondary metabolites) screening of methanol, chloroform, ethanol, petroleum ether, aqueous leaf extracts revealed the presence of carbohydrates, tannins, saponins, flavonoids, alkaloids, betacyanins, phenols and coumarins.Conclusion: The presence of these phytochemicals and antioxidant capacity support the use of this plant as an antibacterial agent against the group of micro organisms tested.Â

Recognition of characters in document images using morphological operation

In this paper, we deal with the problem of document image rectification from image captured by digital cameras. The improvement on the resolution of digital camera sensors has brought more and more applications for non-contact text capture. It is widely used as a form of data entry from some sort of original paper data source, documents, sales receipts or any number of printed records. It is crucial to the computerization of printed texts so that they can be electronically searched, stored more compactly, displayed on-line, and used in machine processes such as machine translation, text-to-speech and text mining. Unfortunately, perspective distortion in the resulting image makes it hard to properly identify the contents of the captured text using traditional optical character recognition (OCR) systems. In this work we propose a new technique; it is a system that provides a full alphanumeric recognition of printed or handwritten characters at electronic speed by simply scanning the form. Optical character recognition, usually abbreviated as OCR is the mechanical or electronic conversion of scanned images of handwritten, typewritten or printed text into machine-encoded text. OCR software detects and extracts each character in the text of a scanned image, and using the ASCII code set, which is the American Standard Code for Information Interchange, converts it into a computer recognizable character. Once each character has been converted, the whole document is saved as an editable text document with a highest accuracy rate of 99.5 per cent, although it is not always this accurate. The basic idea of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters