Novel Proportionate Scrutiny On Crop Protection From Creatures By Deep Learning

The main objective of this paper is to protect the crop from animal attacks. The conventional techniques have the same kind of security applied to all the types of animals detected based on a Passive IR sensor, and only single-stage protection is applied. The images were captured and identified with the help of machine learning and deep learning techniques. The project was designed with a rectangular farm area. On each side of the entrance, the device was installed to capture the image for processing to identify the animals, based on the animal identification, different levels of security were applied, and that will produce different sounds with different Db levels and variety of dazzling light. This work provides a comprehensive description of the design, development, and assessment of an intelligent animal repelling system that allows for to detection and recognition of the animals. The enhancement is done by different levels of protection and different types of protection based on the classified animals. In initial level protection, making the noise and lightning from the opposite side send the animal out of the farm. If the animals are still on the farm, initiating the next stage that the image will send to the owner. The accuracy of all the methods discussed will be compared based on the complexity of the technique, implementation cost, reciprocating time, and accuracy of animal detection. In recent years, edge computing has become an essential technology for real-time application development by moving processing and storage capabilities close to ending devices, thereby reducing latency, improving response time, and ensuring secure data exchange

Quantum Information and Entropy

Thermodynamic entropy is not an entirely satisfactory measure of information of a quantum state. This entropy for an unknown pure state is zero, although repeated measurements on copies of such a pure state do communicate information. In view of this, we propose a new measure for the informational entropy of a quantum state that includes information in the pure states and the thermodynamic entropy. The origin of information is explained in terms of an interplay between unitary and non-unitary evolution. Such complementarity is also at the basis of the so-called interaction-free measurement.Comment: 21 pages, 3 figure

Growth Characteristics of Commonly Occurring Fresh Water Chlorophycean Algae for Biodiesel Production.

Liquid biofuels, renewable fuels derived from biomass, are arguably one of the best transition fuels for the near-term and have made a recent resurgence in response to rising oil prices. Biodiesel can be produced from a variety of lipid feedstock, catalysts and alcohols using several possible conversion processes. Microalgae reproduce themselves using photosynthesis to convert sun energy into chemical energy, completing an entire growth cycle every few days. Fresh water chlorophycean algae have great source of lipid content and proving raw material for biodiesel.  This paper focuses the growth behavior of fresh water Chlorophycean algae during mass culture for biodiesel production.&nbsp

Efficiency Analysis of K-12 Public Education in Illinois

The public education system in the United States has received a great deal of attention from both constituents and policy makers alike over the past thirty years. Identifying less efficient school districts and examining the sources of inefficiency has important policy implications. School districts might improve efficiency by managing educational resources differently. In this paper, we estimate technical efficiency for all three types of school districts in the state of Illinois K-12 public education system. Technical efficiency in the Illinois school system averaged 90% for unit school districts, 85% for elementary school districts, and 82% for high school districts. We also investigate possible factors associated with inefficiency. The percentage of student enrollment that qualifies as low income and the size of the school district are positively related to inefficiency. School districts that have a larger percentage of teachers with advanced degrees are more efficient. Having a lower ratio of students per administrator in a school district increases technical efficiency

Social sciences research in neglected tropical diseases 1: the ongoing neglect in the neglected tropical diseases

Centuries of scientific advances and developments in biomedical sciences have brought us a long way to understanding and managing disease processes, by reducing them to simplified cause-effect models. For most of the infectious diseases known today, we have the methods and technology to identify the causative agent, understand the mechanism by which pathology is induced and develop the treatment (drugs, vaccines, medical or surgical procedures) to cure, manage or control

Estimation of the Normal Boiling Points of Haloalkanes Using Molecular Similarity

A molecular similarity measure has been used to estimate the normal boiling points of a set of 267 haloalkanes with 1-4 carbon atoms. Molecular similarity/dissimilarity was quantified in terms of Euclidean distances of molecules in the eight dimensional principal component space derived from fifty-nine topological indices. Correlation coefficients between the experimental and estimated boiling points ranged from 0.854 to 0.943 in the K-nearest neighbor estimation of boiling points using a different number of nearest neighbors (K = 1-10, 15, 20, 25)

Crowd Behavior Analysis and Classification using Graph Theoretic Approach

Surveillance systems are commonly used for security and monitoring. The need to automate these systems is well understood. To address this issue we introduce the Graph theoretic approach based Crowd Behavior Analysis and Classification System (GCBACS). The crowd behavior is observed based on the motion trajectories of the personnel in the crowd. Optical flow methods are used to obtain the streak lines and path lines of the crowd personnel trajectories. The streak flow is constructed based on the path and streak lines. The personnel and their respective potential vectors obtained from the streak flows are used to represent each frame as a graph. The frames of the surveillance videos are analyzed using graph theoretic approaches. The cumulative variation in all the frames is computed and a threshold based mechanism is used for classification and activity recognition. The experimental results discussed in the paper prove the efficiency and robustness of the proposed GCBACS for crowd behavior analysis and classification