Volume 8 | Issue 4 |

 Abstract

The natural polymers always have exceptional properties which make them distinct from the synthetic polymers and tamarind seed polysaccharide (TSP) is one such example which shows more valuable properties for a wide range of applications. In recent years polysaccharides are used widely in food, cosmetic and pharmaceutical industries. The near future of drug delivery system would lie in the search of a versatile and harmless material, based mostly on the natural resources. The recent use of biopolymers derived from agricultural feed stocks has attracted the attention of many researchers. So, this review mainly focuses on the utility of TSP in pharmaceutical applications.

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 Keywords

Tamarind seed polysaccharide, Green polymer, drug delivery, xyloglucan

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 Abstract

Lung Cancer is one of the dangerous disease which affects the human being easily. The reasons for getting lung cancer are Smoking, Exposure to secondhand smoke, Exposure to radon gas, Family history of lung cancer. Earlier there are some mechanisms for detecting lung cancer. The mechanisms are principal component analysis, naive Bayes, k-nearest neighbor, etc, but these algorithms give less accuracy and also these algorithms are used for smaller datasets. In this project we use neural networks that take large datasets and give more accuracy. The detection of lung cancer in early stages can save human lives and based on the symptoms also we can detect lung cancer. But based on the symptoms we can�t decide whether it is a lung cancer or sometimes, it might be another disease. In this project we are using Convolution neural networks to detect lung cancer. Here first we remove the noise from the image after that we divide the image into multiple segments then we find the features of the image i.e. we calculate the size of the nodule. Based on those features we detect lung cancer. This project will easily tell whether the patient has lung cancer or not.

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 Keywords

Deep learning, CNN, Segmentation

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Cross talk is a common issue in ASIC design for technologies lesser than 180nm. It is more complicated in larger designs like System on Chip and Network on chip. Crosstalk noise effects the timing performance and degrades the signal which is passing from one module to another module in a chip. Generally ASIC implementations use special crosstalk removal circuits which consume more power and more area. In order to avoid crosstalk and delay we have used �Bus Encoding Method�. Bus Encoding Method aims to reduce the overall activity factor and there by reduces the consumption in system. This method avoids the crosstalk by low power and low area. We designed 18T Full adder circuit as testing sequence for crosstalk analysis. crosstalk avoidance can be achieved by low area and low power.

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 Keywords

Crosstalk noise; 18T full adder; Bus encoding; Crosstalk avoidance; 180nm technology; Low power dissipation;

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It is observed that, pure stoichiometric SnO2 and ZrO2 powders are expected to be insulating in nature. However, synthesized powders of bulk SnO2 and ZrO2 are not exactly stoichiometric and hence not insulating. Bulk tin oxide and zirconium oxide powders were observed to be less sensitive to polluting gases. So, nanostructured tin oxide and zirconium oxide powders were synthesized by disc type ultrasonicated microwave assisted centrifuge technique. Nanocomposite material, Zr(0.25)Sn(0.75)O4 was prepared by using synthesized ZrO2 and SnO2 powders by taking their 1:3 proportion. Thick films of nanostructured pure Zr(0.25)Sn(0.75)O4 powder were fabricated by screen printing technique. These films were surface functionalized by strontium oxide for different intervals of time followed by firing at 450oC for 30 min The characterizations of the unmodified and surface activated nanostructured Zr(0.25)Sn(0.75)O4 powder by SrO2 have been investigated by FESEM, E-DAX, XRD, etc. Electrical and gas sensing performance of the thick films were also studied in the laboratory.

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Zr(0.25)Sn(0.75)O4, Surface activation by SrO2, Thick films, Characterizations, etc.

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The high launch cost of rockets has led to a great interest in the development of reusable rockets. These missions were achieved with the use of liquid engine thrust vectoring. This paper discusses design and flight simulation of solid propellant rocket equipped with thrust vector control. Solid rocket motor has been designed with a goal to reach 10 km altitude. It is aimed that the solid rocket motor is to be recovered so that it can be reused for subsequent launches. The design and simulation are carried out assuming that the motion takes place in vertical direction, considering flat earth approximations. This paper deals with selection of solid propellant, grain design, calculation of performance parameters, design and optimization of the rocket motor and nozzle for desired performance, computational analysis and flight simulation with structural constraint. The flight simulation has been carried out using MATLAB� and Simulink� to prove the effectiveness of the concept. For simplicity, rocket is assumed as a point mass in flight simulation. The simulation results testify that the ascent motor is meeting the design goal of 10 km altitude and descent motor works perfectly to bring the rocket back to ground with closer to zero velocity.

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 Keywords

thrust vector control, solid rocket motor, design and optimization of rocket motor, flight simulation.

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This experiment is done by various tests to check and analyze compressive strength of the concrete after adding the optimal amount of PET fiber, as an constituent to obtain appropriate results for the research. This research shows the increased mechanical properties, at certain PET fiber fraction. In this research, we have taken a proportionate amount of PET fiber to the weight of cement to improve the mechanical property of concrete. In our research, we have mixed PET fiber concrete of M25 grade, by the fractional volume of cement in different ratios, as 0.5%, 1.0 %, 1.5% and 2%.Then , the mechanical properties of concrete namely compressive strength were compared to the standard concrete, to analyze the effective amount of PET fiber to be used in construction sites.

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Concrete, Polyethylene Terephthalate (PET fiber), compressive strength, flexural strength.

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This paper highlights the material properties of the engineered cementitious composite for the effective development of new structures and maintenance of existing structures. The material researchers have conducted a lot of experiments based on sustainability, durability and safety point of view. As a result of the attempts, finally a new material was established in the last decade. The proper selection of the fiber, mixing of the composite exhibit strain hardening and multiple cracking behaviour of the material. The strain hardening behaviour of the cementitious composite gives significant advantage under flexural loading. The crack width developed under loading is very small when compared with conventional concrete due to the bridging effect of the fiber. The material properties of ECC reinforced with following 0.5%, 1.0%, 1.5%, 2% of steel fiber and 0.1%, 0.15%, 0.2%, 0.25% of polypropylene fiber. The optimum strength attained at 1.0% of steel fiber and 0.1% of polypropylene fiber and has been claimed to be the most promising proportion of the fiber content. A series of experiments were carried out to determine the compressive strength, tensile strength and flexural characteristics of cementitious composite.

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Cemetitious concrete,steel fiber,polypropylene fiber

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A web-based venue booking management system provides reliable and easy to use online reservation system for wedding halls, party halls, and all other bookable venues. A venue booking management system provides the searching facilities. This web application is to check the availability of venue and book it; hence we need not go and visit the place. Information of individual�s venue with facilities, amenities, images etc. is displaying during the booking. It is web-based system, available from anywhere through a browser. It is simple to follow, which has web based options. It is going to provide flexible bookings. An efficient and user friendly system is required to reserve the venue before-hand and make the information available to others to check the status of the venue before booking. There is no system available in Amravati that can manage online venue booking in term of real-time availability and utilization.

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venue booking, hall management, online event venue booking, reservation system

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Heart-related diseases or cardiovascular diseases (CVDs) have been the main cause of a large number of deaths in the world over the last few decades and have emerged as the most life-threatening illness, not just in India but throughout the world. Therefore, a robust, effective and viable system is required to diagnose these diseases in time for proper medical care. Machine Learning algorithms and methods have been applied to different clinical datasets to mechanize the examination of enormous and complex information. In recent years, several researchers have used many techniques of machine learning to help the health care industry and the experts identify heart related diseases. This paper presents an overview of different models dependent on such calculations and procedures and analyze their performance. Models based on supervised learning algorithms such as, Gaussian Na�ve Bayes, Decision Trees (DT), Support Vector Machines (SVM), Linear SVC, Random Forest (RF) are quite popular among the researchers.

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Heart Disease Prediction

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Poaching in today�s world is one of the most significant threats to wildlife. Poachers use different methods to capture animals. Many commercial poachers use military-grade weapons along with arrows and spears to hunt wildlife. Sometimes, objects called snares (a set of wires tied to trees configured to capture any animal by their leg or neck that gets into it) are also implemented. Poachers also trap the animal into large nets, known as trap nets, pitfall traps (a vast pit dug in the ground that is layered with leaves and plants) or baits. In this paper, we suggest a new solution that operates in real-time to pursue the cause of wildlife conservation by preventing the poaching of any species of animals - endangered or non-endangered by profit-hungry poachers with the help of Artificial Intelligence(AI) and Internet of Things(IoT). In comparison to previous methods in the same domain, it presents an alternate approach, in the form of a monitoring system that can track poaching activity and predict poachers� behavior and alert forest authorities for any suspicious crime.

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 Keywords

Artificial Intelligence, Internet of Things, Anti-Poaching, Wildlife Conservation, Applied Machine Learning

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Creative Commons Attribution 4.0 and The Open Definition