Volume 8 | Issue 7 |

 Abstract

In order to control errors in data transmission through a noisy channel Viterbi algorithm has served as a powerful tool meant for interpreting the conventional codes. It is centred on extreme possibility algorithm for interpreting the data? While coming to hardware implementation of Viterbi algorithm became crucial as it drain large amount of assets because of its complexity. This paper confers the implementation of an efficient VHDL execution of a Viterbi decoder by means of the concept of pipelining to diminish the critical path. There by improving the operating frequency of the design and improving the through put using Modalism and Xilinx ISE tools for simulation and synthesis of modules respectively.

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 Keywords

Error correcting code, convolutional codes, Viterbi algorithm, convolutional codes.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Engine drives vehicle by generating power. To generate this power engine need fuel. Imagine a vehicle without fuel is nothing but the piece of iron. Today where automotive world reach it was beautiful journey, this journey consists lots of ups and downs. Modern automotive face lots of challenges, out of all big challenge is �limited fuel source� �Fuel prices� etc. fuel prices rapidly increases now a days. So Automotive world is looking for substitute for fuel energy. For example, Solar energy, Battery energy, etc. A battery vehicle also called E-Vehicle. it is successful outputs of Automotive world over a fuel problem. In conventional vehicle it is easy to determine remaining fuel, you can check in fuel meter on dashboard. Also, Time required to Refill fuel in conventional vehicle is several minutes. however, in electric vehicle it is more challenging to monitor remaining energy and compared to conventional vehicle an electric vehicle needs several hours to refill rather than several minutes. Also, safety, operation, and even the life of the passenger depends on the battery system. Battery management system keep a continue eye on the key operational parameters during charging and discharging for example voltages, currents and the battery internal and ambient temperature. The BMS system would normally estimate and provide inputs to protection devices which would disconnect the battery from the load or charger any of the parameters like SOC, over charge, under charge, high temperature, become out of limits. All parameters are monitor and well manage with using Neural network algorithm will be implemented on MATLAB software for the process

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 Keywords

Battery, Fuel, charging, Neural Network, Temperature, Automotive, Gasoline, BMS

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Internet of Things (IoT) is an interactive environment, which interconnects material things to the internet and provides advance and intelligent services to a wide range of applications. This kind of complex and dynamic system is often susceptible to attack during data transmission and processing. Therefore, it is essential to know the origin of data and to assure that the source is reliable and the integrity of data is maintained during transmission. However, the limitation on the resources and heterogeneous environment brings several challenges for securing the data in the IoT system. Traditional security solution becomes infeasible because of low energy devices in the IoT system. The purpose of this paper is to present a lightweight security solution for the IoT system by using the Received signal strength indicator. RSSI values would be used to generate the link fingerprint. By comparing the link fingerprints values of various nodes on the server, the presence of adversarial nodes in the system can be detected. This method required very less energy in comparison to the other conventional method.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet of Things, Security, RSSI, Link Fingerprint

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The process of restoring missing or deteriorated regions in an image is called an Image Inpainting. The purpose of digital image inpainting is to reconstructing the loss information according to surrounding image information and to get rid of larger objects from them. The target of image inpainting is to modifying the digital image in an undetectable manner that the changes are invisible to an observer. Image inpainting has various applications such as restoration of older films, removal of objects, red-eye correction, and removal of text. This paper critically examines and reviews methods of Image Inpainting algorithm such as Exemplar based, Diffusion-Based, Partial Differential Equations (PDE) based, Texture based and Hybrid based.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Image Inpainting, Object removal, Image reconstruction, Structure, Texture

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The idea of intelligent, independently learning machines have always been a dream for human race. Healthcare generates a vast amount of useful data and The Internet of Things (IoT) makes this feasible and provides a big volume without human intervention. But it is not cost effective to generate and analyse every bit of available data. This is where Machine Learning and Artificial Intelligence (AI) come to rescue. These technological branches of science help in sifting data received from IOT interfaces. Though it seems tempting and achievable, yet combining IOT and AI is tedious. It requires a massive investment and selective expertise. The present review discusses the basics of Artificial Intelligence, Machine Learning and Internet of Things, along with their applications in the field of healthcare.

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 Keywords

Artificial Intelligence (AI), Internet of Things (IoT) and Machine Learning (ML) in Healthcare- A Way Forward

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 Abstract

Social Enterprises (SE) are developing all around the world in increasing numbers, as confirmed by national and international statistics and analysis. Some countries have put efforts on creating new development policies in order to support this kind of enterprise and enhance their chances to make a better value. The concept of Social Enterprises appeared in Vietnam from the last decade and expanded its value to many worlds. In this study, we analyzed and collected some experiences from some countries and gave lessons properly for Vietnam

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social Enterprises (SE), Development Policy, Lesson

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Moving object detection and tracking field gains a vast interest in it. Most of the moving objects detection methods operate by trying a binary classifier to sub-windows of an image, after that a non-maximum suppression step comes where detections on overlapping sub-windows are eliminated. As the number of feasible sub-windows in even middling sized image datasets is very large, the classifier is usually learned on only a subset of the windows. This circumvent the computational complexity and difficulty of dealing with the entire set of sub-windows , however, this paper address that, it leads to sub-optimal detector performance. Specially , the main offering of this paper is the initiation of a new method, Max-Margin object detection (MMOD), for understanding how to detect objects in images. This method does not execute any sub sampling, but instead optimizes overall sub-windows. MMOD is used to enhance any object detection method which is linear in the learned parameters, such as Histogram of Oriented Gradient (HOG) or bag-of-visual-word models. Using this strategy we manifest substantial performance gains in publicly available data sets. We represent that a single firm HOG filter can overcome a set-of-the-art deformable part model on the object detection data set and benchmark when the HOG filter is assimilated via MMOD.

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 Keywords

Python, Open CV component, video surveillance, detection, tracking, moving images, object detection

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Social media has become second nature to today's learners, so why not use it in the classroom. Today's younger generation is hooked on social media. If given the choice between Tweeting or textbooks, which would students choose? Many teachers think that if they allow their students to use social media in the classroom, students will be posting status updates about how their day is going, which would only detract from educational experiences. However, social media can be a powerful educational tool that provides unique and dynamic learning experiences to students and teachers alike. Social media are becoming the most important tools for interaction among people, where everybody can share, exchange, comment, discuss and create information and knowledge in a collaborative way.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social Media, Education,Learner, Tweet

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cloud storage is a cloud computing model in which data is accumulated on remote servers accessed from the internet. Cloud is sustained, promoted and guided by a cloud storage service provider on a storage server that is built on virtualization procedure. A cloud application is a software program where cloud based and local components attempt mutually. The cloud server routinely is posted in a remote data centre fulfilled by a third party cloud service infrastructure provider. Virtualization is one of the mean to designate the cloud resource precisely. The exploit of the system can be upgraded by using local negotiation based Virtual Machine (VM) consolidation mechanism. To assign the resources, VM migration and Self destruction entrance are resolved. Self destruction intend run out the space when it is pristine for prolonged time. By using co-located strategy, the VM is generated by assemble the pristine space from alternative VM. The pristine storage can be reborned by automatic memory control framework.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AES, VM monitoring, VM migration, SLA, Self destruction.

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Creative Commons Attribution 4.0 and The Open Definition