The research we are pursuing here is about building a system which we will use and mine a movie review database using concepts of statistics like Euclidean Distance algorithm. This will help us determine similar revie...
The research we are pursuing here is about building a system which we will use and mine a movie review database using concepts of statistics like Euclidean Distance algorithm. This will help us determine similar review according to the ratings. What we plan on achieving through this approach is to analyze the reviews to suggest a suitable critic according to one's preferences and one's taste. We will do this according to the review we select and our algorithm which we use upon it. This algorithm will be the key to find those similar reviews. We are going to use Python programming to program this experiment. We have chosen to pursue this because of not the reviewers being incorrect or correct but merely different according to their preferences and their lean towards a certain genre and we know that a reviewer should also match the taste of the person who want to feel benefited of the review itself. So, we plan to make system that could help with that.
The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-de...
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ISBN:
(数字)9783319706887
ISBN:
(纸本)9783319706870
The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective.
The existing autonomous vehicles cost are very high due to inclusive of various range of LIDAR, RADAR and multiple cameras for autonomous features. The proposed autonomous vehicles can operate at low speed with limite...
The existing autonomous vehicles cost are very high due to inclusive of various range of LIDAR, RADAR and multiple cameras for autonomous features. The proposed autonomous vehicles can operate at low speed with limited sensors which will cut the cost by half. The purpose of this research is to make an auto driven platform, which can be ported in any electric vehicles. The prototype also has features including a safety system, control panel, route recognition, android device assistance, Wi-Fi, & battery updates. Our study findings are carefully analysed. This leads to less emissions of the electric vehicle powered by man.
The paper helps to explore and demonstrate the weight reduction of a component with the help of efficient aerodynamics. This can help to reduce fuel consumption and improve the performance of a racing vehicle. The veh...
The paper helps to explore and demonstrate the weight reduction of a component with the help of efficient aerodynamics. This can help to reduce fuel consumption and improve the performance of a racing vehicle. The vehicle used is a KTM RC200 2015 which was tested on various factors such as aerodynamics, weight, fuel consumption, and performance. The results were eventually validated with appropriate simulation and experimental trials. To improve and sustain the performance of the engine, it is necessary to explore various factors such as weight reduction through material selection and aerodynamically streamlining the vehicle design. The main component that was tested is the front fairing of the bike. The front fairing plays a very important role in a bike's performance. Therefore, the stock front fairing component is to be replaced with a modified component which also needs to meet all the regulatory safety standards. In the present work, two different front fairing components were used and one of them is made up of plastic representing the stock component while the second one is the customized and improved component made up of glass fiber reinforced epoxy. The results had shown promising improvements to the performance of the vehicle and it was observed that the material density and strength played a factor in the bike's performance and fuel efficiency.
Diabetic retinopathy (DR) in patients affects retina function owing to chronic elevated excessive blood glucose rates. The DR is a severe medical disorder. Patients with diabetes are easily prone to this medical compl...
Diabetic retinopathy (DR) in patients affects retina function owing to chronic elevated excessive blood glucose rates. The DR is a severe medical disorder. Patients with diabetes are easily prone to this medical complication which when not detected and treated at earlier stages, leads to vision loss. Globally, diabetes mellitus is the fifth leading cause of vision loss. So, active research is being conducted in this area to find novel ways in identifying the stages of DR. Specific image recognition methods and computer simulation algorithms were initially used to classify DR, but their usefulness was inadequate in real-time clinical practice. The evolution of deep learning models like convolution neural network performed better in identifying DR and non-referable DR compared to conventional machine learning models. Different variations of CNN architecture are being developed over the period, but more analysis and experimentation needs to be carried out to choose the appropriate architecture for detecting Diabetic Retinopathy. The aim of this research is to apply and understand how the performance of pre-trained Deep learning model – ResNet, a deep layered neural network performs to identify non-referable DR and different types of referable DR.
Currently most people don't have access to world-class health care. People tend to go to their local doctors and get their treatment delayed in case of serious diseases. These cases require a specialist to tend to...
Currently most people don't have access to world-class health care. People tend to go to their local doctors and get their treatment delayed in case of serious diseases. These cases require a specialist to tend to the needs of the patients. A system is created that helps a person find a doctor based on the symptoms the user is facing. The system helps the user to get redirected to the nearest specialist that is appropriate to the special case of each user. This article discusses how the system was designed and implemented and what exactly was the need to implement such a system.
Waste segregation is one of the primary challenges to recycling systems in major cities in our country. In India, 62 million tons of garbage is generated annually. Of this 5.6 million tons of wastes consist of plastic...
Waste segregation is one of the primary challenges to recycling systems in major cities in our country. In India, 62 million tons of garbage is generated annually. Of this 5.6 million tons of wastes consist of plastic materials. About 60 percent of this is recycled every year. In addition, 11.9 million tons are recycled from 43 million tons of solid waste produced. Though the numbers sound good, a serious problem in the recycling industry is the segregation of waste before recycling or any other waste treatment processes. In India, at present situation waste is not segregated when collected from households. So a lot of workforce and effort are needed to separate this waste. In addition to this people working in this industry are prone to various infections caused due to toxic materials present in the waste. So the idea is to decrease the human intervention and make this waste segregation process more productive. The proposed work is aimed to build an image classifier that identifies the object and detects the type of waste material using Convolutional Neural Network. In this work, four different models of the CNN, such as ResNet50, DenseNet169, VGG16, and AlexNet, trained on ImageNet, are used to extract features from images and feed them into a classifier to make predictions and distinguish a type of waste from its corresponding category. The experimental results showed that the performance of DenseNet169 was significantly greater than all four models and the performance of ResNet50 is closer to DenseNet169.
The mobile cloud services can be accessed over an internet by portable devices. The rapid growth of mobile services and cloud computing, the Mobile Cloud Computing becomes so popular. Mobile Cloud Computing (MCC) inco...
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The mobile cloud services can be accessed over an internet by portable devices. The rapid growth of mobile services and cloud computing, the Mobile Cloud Computing becomes so popular. Mobile Cloud Computing (MCC) incorporates the cloud computing technology with mobile environment. The service associated with quality of service parameters which make it preeminent service to a user. This paper proposed a Preeminet Service Ranking (PSR) method using backward propagation neural network (BPNN) to find the best services. The method consists of two phases which are the Training phase and the Ranking phase. In the Training phase, the network is trained and obtain the deviation. It means that error of the current network from the ideal network. In the Ranking phase, determine the best services are at any given time using the deviation obtained from the training phase. The mobile cloud services are measured by using Quality of Service (QoS) parameters. This paper proved that a proposed method performs better over conventional methods like TOPSIS, AHP, and ANP.
Cellular automaton are tremendously utilized for their spatial and characteristically dynamic structure and detailed resolution. They outperform other models in representing practical methods of illumination. Formal C...
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Cellular automaton are tremendously utilized for their spatial and characteristically dynamic structure and detailed resolution. They outperform other models in representing practical methods of illumination. Formal Cellular Automaton is based on straightforward standard. The dynamics rely upon the state of the cell (on/off) and the state of neighboring cells. Traditional Cellular Automata can deliver various elements, surprisingly diverse dynamics, including self-replicable structures. The aim of the proposed work to use Cellular Automata is to provide a simulation on optimal illumination for LED based lighting system based on the round robin transition scheme where state of each LED is governed by its neighboring LED states in a way which optimizes the consumption of electricity without compromising much on the illumination.
The Context-aware system provides real time information between patients and caregivers by using Internet of Things technology. In this paper we propose a Smart Home Caregivers System (SHCS) is able to collect the rea...
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ISBN:
(纸本)9781538628430;9781538628423
The Context-aware system provides real time information between patients and caregivers by using Internet of Things technology. In this paper we propose a Smart Home Caregivers System (SHCS) is able to collect the real-time patient respiratory rate, oxygen leakage information, normal and abnormal conditions of the patients can be monitor via MQ6 sensor. The sensed data can be delivered to Base Station (BS) where monitored by the caregivers through laptop or app. It can be done either by wire or remote users via REST web services.
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