Egocentric Activity Recognition Using HOG, HOF and MBH Features

recognizing egocentric actions is a challenging task that has to be addressed in recent years. The recognition of first person activities helps in assisting elderly people, disabled patients and so on. Here, life logging activity videos are taken as input. There are 2 categories, first one is the top level and second one is second level. In this research work, the recognition is done using the features like Histogram of Oriented Gradients (HOG), Histogram of optical Flow (HOF) and Motion Boundary Histogram (MBH). The extracted features are given as input to the classifiers like Support Vector Machine (SVM) and k Nearest Neighbor (kNN). The performance results showed that SVM gave better results than kNN classifier for both categories

CONSTRAINTS FACED BY WOMEN IN EMPOWERMENT THROUGH INCOME GENERATING ACTIVITIES IN VISAKHAPATNAM DISTRICT OF ANDHRA PRADESH

Women are the builder and moulder of nation's destiny. Though delicate and soft as lily, she has a heart, far stronger and bolder than of man. She is supreme inspiration of man's onward march. Empowerment comes from Women's groups who seek to empower themselves through greater self-reliance. They have right to determine their own choices in life. They also seek to gain control and access to resources. The present study was conducted to find out the “Constraints Faced by Women in Empowerment through Income Generating Activities in Visakhapatnam District of Andhra Pradesh.” In Vishakhapatnam District Anakapalli Mandal was selected for data collection. Data was collected from 120 respondents randomly from 6 villages using pre-tested structured interview schedule and analyzed using frequency, percentage, scoring and coefficient of correlation. From this present study the major constraints faced by the respondents are Family restriction, Lack of education, Proper marketing facilities, Lack of proper guidance and financial limitations, Lack of resources, Lack of training and Lack of knowledge, skills and Mismanagement. It was suggested that Family should support to women for participating in different type of income generating activities followed by Women farmers should focus on increasing their education, Govt. should focus on increasing the Proper marketing facilities, Women empowerment organization should focus on proper guidance and different training programmes and Govt. & private organizations should provide funds for financial supports. View Article DOI: 10.47856/ijaast.2021.v08i11.00

Smart Frame - A Location Sensing Picture Frame using IOT

To make communication easier, We have created a IOT Location Sensing Picture Frame. A decorative item which acts smart to tell the user the location of their family member. Each family member has a photo of themselves in the picture frame. Each photo has a corresponding strip of lights that is controlled by an app which runs in the background of the designated family member’s smart phone. The lights are programmed to display colors in a spectrum ranging from red to green. Even the app is designed in such a way that a panic alert can be sent to the emergency contact and alert will be depicted in the photo frame with red lights and a buzzer

Delay Comparison for 16x16 Vedic Multiplier Using RCA and CLA

In any integrated chip compulsory adders are required because first they are fast and second are the less power consumption and delay. And at the same time multiplication process is also used in various applications. So as the speed of multiplier increases then the speed of processor also increases. And hence we are proposing the Vedic multiplier using these adders. Vedic multiplier is an ancient mathematics which uses mainly 16 sutras for its operation. In this project we are using “urdhva triyagbhyam” sutra to do our process. This paper proposes the Vedic multiplier using the adders ripple carry adder(RCA) and carry look ahead adder(CLA) and puts forward that CLA is better than RCA.The major parameters we are simulating here are number of slices and delay. The code is written by using Verilog and is implemented using Xilinx ISE Design Suite

UV SPECTROPHOTOMETRIC ASSAY METHOD DEVELOPMENT AND VALIDATION OF DABIGATRAN ETEXILATE IN CAPSULES

Objective: To develop a simple and a cheap UV spectrophotometric method for the quantitative estimation of Dabigatran etexilate in capsules and validate as per ICH guidelines.Methods: The optimized method uses triethyl ammonium phosphate aqueous solution (pH 2.5) as a solvent for the estimation of assay of Dabigatran etexilate in capsules at a wavelength of 325 nm.Results: The developed method resulted in Dabigatran etexilate exhibiting linearity in the range 5-15μg/ml. The assay precision is exemplified by relative standard deviation of 1.07%. Percentage Mean recovery was found to be in the range of 98â€102, during accuracy studies. Method was found to be robust with respect to wavelength and pH of the solvent. Conclusion: A simple and a cheap UV spectrophotometric method was developed and validated for the quantitative estimation of Dabigatran etexilate in capsules as per ICH guidelines and hence it can be used for routine analysis in various pharmaceutical industries.Â

Improved Approximation Algorithm for Graph Burning on Trees

Given a graph $G=(V,E)$, the problem of \gb{} is to find a sequence of nodes from $V$, called burning sequence, in order to burn the whole graph. This is a discrete-step process, in each step an unburned vertex is selected as an agent to spread fire to its neighbors by marking it as a burnt node. A node that is burnt spreads the fire to its neighbors at the next consecutive step. The goal is to find the burning sequence of minimum length. The \gb{} problem is NP-Hard for general graphs and even for binary trees. A few approximation results are known, including a $3$-approximation algorithm for general graphs and a $2$- approximation algorithm for trees. In this paper, we propose an approximation algorithm for trees that produces a burning sequence of length at most $\lfloor 1.75b(T) \rfloor + 1$, where $b(T)$ is length of the optimal burning sequence, also called the burning number of the tree $T$. In other words, we achieve an approximation factor of $(\lfloor 1.75b(T) \rfloor + 1)/b(T)$

Performance Improvement of SIMD Processor for High-Speed end Devices in IoT Operation Based on Reversible Logic with Hybrid Adder Configuration

The reversible logic function is gaining significant consideration as a style for the logic design by implementing modern Nano and quantum computing with minimal impact on physical entropy. Recent advances in reversible logic allow for computer design applications using advanced quantum computer algorithms. In the literature, significant contributions have been made towards reversible logic gate structures and arithmetic units. However, there are many attempts to dictate the design of Single Instruction-Multiple Data (SIMD) processors. In this research work, a novel programmable reversible logic gate design is verified and a reversible processor design suggests its implementation of SIMD processor. Then, implementing the ripple-carry, carry-select and Kogge-Stone carry look-ahead adders using reversible logic and the performance is compared. The proposed reversible logic-based architecture has a minimum fan out with binary tree structure and minimum logic depth. The simulation result of the proposed design is obtained from Xilinx 14.5 software. From the simulated result, the computational path net delay for 16 × 16 reversible logic with Kogge Stone Adder is 17.247 ns. Compared with 16-bit Kogge Stone Adder, the reversible logic-based 16-bit Kogge Stone Adder gives low power and low time delay. By looking at the speed, energy and area parameters, including fast applications in which two smaller delay and low power adders are required, the effectiveness, including the proper area use of the hybrid adder recommended by it is evaluated

Localization Performance of 1-Bit Passive Radars in NB-IoT Applications

Location-based services form an important use-case in emerging narrowband Internet-of-Things (NB-IoT) networks. Critical to this offering is an accurate estimation of the location without overlaying the network with additional active sensors. The massive number of devices, low power requirement, and low bandwidths restrict the sampling rates of NB-IoT receivers. In this paper, we propose a novel low-complexity approach for NB-IoT target delay estimation in cases where one-bit analog-to-digital-converters (ADCs) are employed to sample the received radar signal instead of high-resolution ADCs. This problem has potential applications in the design of inexpensive NB-IoT radar and sensing devices. We formulate the target estimation as a multivariate fractional optimization problem and solve it via Lasserre's semi-definite program relaxation. Numerical experiments suggest feasibility of the proposed approach yielding high localization accuracy with a very low number of 1-bit samples

Optimum Design for Sparse FDA-MIMO Automotive Radar

Automotive radars usually employ multiple-input multiple-output (MIMO) antenna arrays to achieve high azimuthal resolution with fewer elements than a phased array. Despite this advantage, hardware costs and desired radar size limits the usage of more antennas in the array. Similar trade-off is encountered while attempting to achieve high range resolution which is limited by the signal bandwidth. However, nowadays given the demand for spectrum from communications services, wide bandwidth is not readily available. To address these issues, we propose a sparse variant of Frequency Diverse Array MIMO (FDA-MIMO) radar which enjoys the benefits of both FDA and MIMO techniques, including fewer elements, decoupling, and efficient joint estimation of target parameters. We then employ the Cram\'{e}r-Rao bound for angle and range estimation as a performance metric to design the optimal antenna placement and carrier frequency offsets for the transmit waveforms. Numerical experiments suggest that the performance of sparse FDA-MIMO radar is very close to the conventional FDA-MIMO despite 50\% reduction in the bandwidth and antenna elements

R16. Formulation and Evaluation of Doxorubicin HCl Nanoliposomes by Ethanol Injection Method

Corresponding author (Pharmaceutics and Drug delivery): Arun Kumar Kotha, [email protected]://egrove.olemiss.edu/pharm_annual_posters/1015/thumbnail.jp