Technical Efficiency of Rice Farms under Irrigated Conditions in Central Gujarat

The present investigation undertaken in the central Gujarat, has estimated the technical efficiency in rice production and has assessed the effect of farm-specific socio-economic factors on this technical efficiency. A stochastic frontier production function has been estimated to determine technical efficiency of individual farms and variance as well as regression analyses have been carried out to find the influence of socioeconomic factors. The study has revealed that the farm-specific technical efficiencies range from 71.39 per cent to 99.82 per cent, with the mean of 72.78 per cent, which indicates that on average, the realized output can be raised by 27 per cent in the region with the available technology and resources, without any additional resources. It has been found that factors like operational area, experience, education and distance of field from canal structure are the most influential determinants of technical efficiency, while the variable, number of working family members, has shown significant but negative relationship with technical efficiency. By adopting good management practices and proper allocation of the existing resources and technology, along with sound extension programmes, the potential that exists for improving the productivity of rice in the state, could be exploited.Agricultural and Food Policy,

Mathematical Modeling of DC Cardiac Ablation

This thesis presents a mathematical modeling of the cardiac DC ablation procedure. The model treats the procedure as a one dimensional heat transfer phenomenon taking place across the thickness of the myocardium. The model further considers a constant 37 oC for one of the boundary condition of the affected tissue, and the temperature of the other boundary condition is set to be a time dependent square-pulse variations. The parameters defining this time dependent boundary condition is used to perform parametric studies to predict tissue temperature at different depth of the myocardium. The initial condition of the myocardium prior to the ablation procedure is considered to be also constant and at 37 oC. MATLAB was used to solve the parabolic partial differential equation that describes the temperature variations within the myocardium. The duration of off-and-on square-pulse controlled temperature at the inner wall of the myocardium showed to be influential in the depth of intentional lesion within the myocardium. In case of a 1.5-seconds on-time for a 60 oC wall temperature, and a 0.5-second off-time, the time taken to have a lesion depth of 0.26 mm reaching 55 oC was about 6.32 second

Mathematical Modeling of DC Cardiac Ablation

This thesis presents a mathematical modeling of the cardiac DC ablation procedure. The model treats the procedure as a one dimensional heat transfer phenomenon taking place across the thickness of the myocardium. The model further considers a constant 37 oC for one of the boundary condition of the affected tissue, and the temperature of the other boundary condition is set to be a time dependent square-pulse variations. The parameters defining this time dependent boundary condition is used to perform parametric studies to predict tissue temperature at different depth of the myocardium. The initial condition of the myocardium prior to the ablation procedure is considered to be also constant and at 37 oC. MATLAB was used to solve the parabolic partial differential equation that describes the temperature variations within the myocardium. The duration of off-and-on square-pulse controlled temperature at the inner wall of the myocardium showed to be influential in the depth of intentional lesion within the myocardium. In case of a 1.5-seconds on-time for a 60 oC wall temperature, and a 0.5-second off-time, the time taken to have a lesion depth of 0.26 mm reaching 55 oC was about 6.32 second

Mathematical Modeling of DC Cardiac Ablation

This thesis presents a mathematical modeling of the cardiac DC ablation procedure. The model treats the procedure as a one dimensional heat transfer phenomenon taking place across the thickness of the myocardium. The model further considers a constant 37 oC for one of the boundary condition of the affected tissue, and the temperature of the other boundary condition is set to be a time dependent square-pulse variations. The parameters defining this time dependent boundary condition is used to perform parametric studies to predict tissue temperature at different depth of the myocardium. The initial condition of the myocardium prior to the ablation procedure is considered to be also constant and at 37 oC. MATLAB was used to solve the parabolic partial differential equation that describes the temperature variations within the myocardium. The duration of off-and-on square-pulse controlled temperature at the inner wall of the myocardium showed to be influential in the depth of intentional lesion within the myocardium. In case of a 1.5-seconds on-time for a 60 oC wall temperature, and a 0.5-second off-time, the time taken to have a lesion depth of 0.26 mm reaching 55 oC was about 6.32 second

Introducing Faceted Exception Handling for Dynamic Information Flow

JavaScript is most commonly used as a part of web browsers, especially client- side scripts interacting with the user. JavaScript is also the source of many security problems, which includes cross-site scripting attacks. The primary challenge is that code from untrusted sources run with full privileges on the client side, thus lead- ing to security breaches. This paper develops information flow controls with proper exception handling to prevent violations of data confidentiality and integrity. Faceted values are a mechanism to handle dynamic information flow security in a way that overcomes the limitations caused by dynamic execution, but previous work has not shown how to properly handle exceptions with faceted values. Sometimes there might be problems where high-security information can be inferred from a pro- gram\u27s control flow, or sometime the execution might crash while transferring this high-security information when there is an exception raised. Usage of faceted values is an experimental approach as an alternative to multi-process execution. This paper provides more detail on providing exception support to multi-faceted execution

Telugu Text Categorization using Language Models

Document categorization has become an emerging technique in the field of research due to the abundance of documents available in digital form. In this paper we propose language dependent and independent models applicable to categorization of Telugu documents. India is a multilingual country; a provision is made for each of the Indian states to choose their own authorized language for communicating at the state level for legitimate purpose. The availability of constantly increasing amount of textual data of various Indian regional languages in electronic form has accelerated. Hence, the Classification of text documents based on languages is crucial. Telugu is the third most spoken language in India and one of the fifteen most spoken language n the world. It is the official language of the states of Telangana and Andhra Pradesh. A variant of k-nearest neighbors algorithm used for categorization process. The results obtained by the Comparisons of language dependent and independent models

Wireless Monitoring of Driver\u27s Pulse Rate and Temperature Using Hand Gloves Approach

There is growing concern about dangers correlated with driving, for people with known cardiovascular diseases. However, the association between having a chronic cardiovascular disease and being involved in a motor vehicle crash remains controversial. This study aims to monitor people with known medical emergencies or other medical conditions while driving [1]. It also helps the co-passengers to be cautious while the person is driving with an abnormal health condition. Designed it to be convenient and also can be easily adaptable by the end user. The proposed project focuses on a wearable sensor glove that equipped with a pulse rate sensor, Temperature sensor, conductive thread, and an embedded system consisting of amplifier unit, power supply, microcontroller, and Zigbee transmitter unit. . This project consists of three systems: Transmitter, Receiver, and Wireless healthcare monitoring unit. The transmitter section includes sensors, amplifier, processing unit and Zigbee for transmission. Here the pulse sensor uses a technique called Photoplethysmography (PPG) and temperature sensor used here is LM35. The pulse sensor mounted on the index finger of the gloves acquires the raw data from the human body and then sends to the microcontroller using conductive thread. The conductive thread sewed into the gloves feed the signal into the microcontroller. Data is analyzed by microcontroller and then sent to the receiver. The receiver end consists of a Microcontroller, interfaced with display, storage unit, alarm, GPS, and GSM. Data from transmitter side is acquired using ZigBee receiver and sent to the Microcontroller, which is programmed such a way that the pulse rate and temperature parameters stored and displayed in real-time. When pulse rate and temperature are below or above the threshold, an alarm system is implemented to alert the co-passengers

R17. Solid Crystal Suspensions of Carbamazepine using Hot-melt Extrusion: A Solubility Enhancement Approach

Corresponding author (Pharmaceutics and Drug delivery): Sagar Narala, [email protected]://egrove.olemiss.edu/pharm_annual_posters/1016/thumbnail.jp

Why my photos look sideways or upside down? Detecting Canonical Orientation of Images using Convolutional Neural Networks

Image orientation detection requires high-level scene understanding. Humans use object recognition and contextual scene information to correctly orient images. In literature, the problem of image orientation detection is mostly confronted by using low-level vision features, while some approaches incorporate few easily detectable semantic cues to gain minor improvements. The vast amount of semantic content in images makes orientation detection challenging, and therefore there is a large semantic gap between existing methods and human behavior. Also, existing methods in literature report highly discrepant detection rates, which is mainly due to large differences in datasets and limited variety of test images used for evaluation. In this work, for the first time, we leverage the power of deep learning and adapt pre-trained convolutional neural networks using largest training dataset to-date for the image orientation detection task. An extensive evaluation of our model on different public datasets shows that it remarkably generalizes to correctly orient a large set of unconstrained images; it also significantly outperforms the state-of-the-art and achieves accuracy very close to that of humans

Enhancement of bandwidth and gain of a rectangular microstrip patch antenna

In this project, method of moments based IE3D software is used to design a Microstrip Patch Antenna with enhanced gain. The aim of the project is to design a rectangular Microstrip Patch Antenna with enhanced gain and bandwidth and study the effect of antenna dimensions Length (L), Width (W) and substrate parameters relative Dielectric constant (εr), substrate thickness on antenna gain and bandwidth. The conducting patch can take any shape but rectangular and circular configurations are the most commonly used configuration. Other configurations are complex to analyze and require heavy numerical computations. The length of the antenna is nearly half wavelength in the dielectric, it is a very critical parameter, which governs the resonant frequency of the antenna. In view of design, selection of the patch width and length are the major parameters along with the feed line depth. Desired Patch antenna design is simulated by using IE3D simulator. And Patch antenna is realized as per design requirements. A wideband phi-shape microstrip patch antenna has been designed. The return loss is below −10 dB from 4.45 GHz to 7.4 GHz except at 5.1GHz with a bandwidth of 48%.The antenna is thin and compact which makes it easily portable. A maximum gain of 8.77dB achieved at 4.7 GHz frequency. The VSWR parameter was found to be less than 2 within the operating frequency range. It can be used for wireless Local Area Network application in the frequency range 5.2 to 5.8 GHz