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Our life is becoming faster day by day by the blessing of the internet of things (IoT). It plays a vital role to reduce the time to complete a computer-based or IT related work. Cloud and fog computing are one of the main elements of IoT which helps to provide service accurately in fewer times. A significant portion of the work related to fog and cloud computing indicates that fog computing is better...
The domain of plant genotyping and phenotyping presents a number of challenges in the area of large data computation. Various tools and systems have been developed to automate the scientific workflows and support the computational needs of this domain. In this paper, we review a number of the popular systems (i.e., Galaxy, iPlant, GenAp and LemnaTec) in the domain of plant genotyping and phenotyping...
This paper proposes an online dynamic electro-thermal model to compute the junction temperature of an IGBT under real time operating conditions. The proposed computational model is based on transient thermal capacitance and power loss calculations. Insulated Gate Bipolar Junction Transistor is popularly used in mission safety critical applications such as aerospace. Usually mission critical application...
Cognitive engineering is a multi-disciplinary field and hence it is difficult to find a review article consolidating the leading developments in the field. The incredible pace at which technology is advancing pushes the boundaries of what is achievable in cognitive engineering. There are also differing approaches to cognitive engineering brought about from the multi-disciplinary nature of the field...
The interest on traditional technologies is decreasing with the increasing demand on new technologies. The world of cloud market is changing with emergence of new technologies. In this paper we used a new virtualization method known as lightweight virtualization or containerization for the implementation of Infrastructure as a Service (IaaS) in private cloud rather than traditional hypervisor approach...
In this paper, we propose a hybrid classification model, which has correlation based filter feature selection algorithm and support vector machine as a classifier. In this method, features are ordered according to their Absolute correlation value with respect to the class attribute. Then top K Features are selected from ordered list of features to form a reduced dataset. The classification accuracy...
There have been several efforts on run-time mapping of applications on multiprocessor-systems-on-chip. These traditional efforts perform either on-the-fly processing or use design-time analyzed results. However, on-the-fly processing often leads to low-quality mappings, and design-time analysis becomes computationally costly for large-size problems and require huge storage for large number of applications...
In this research work, it is tried to develop a technique for ‘Credit Card Fraud Detection’. Credit Card can be accepted for each online and offline in today's world. There are combinations of methods used. Firstly, Shopping Behavior is based on which type of products customer buys. Secondly, Spending Behavior in this the fraud is detected based on the maximum amount spent. Thirdly, Hidden Markov...
Human computer interface (HCI) system requires a skin color detection algorithm in it's first step of designing. Skin color detection algorithm faces two major problems one is variable Human skin tone and second one is complex background. Human skin tone variation can be easily seen from person to person within same ethnic group or different ethnic groups. And the background used in real time is usually...
Cellular Automata (CA) is a decentralized computing tool which attracts the researchers from different domains. It comprises of various dimensions and particularly having diverse behavior according to the structure considered. Our main goal regarding this study is to analyze the structure and behavior of one dimensional five neighborhood Cellular Automata keeping in mind the aspects and properties...
This paper presents a direct truncation methodology for reducing the order of large scale interval systems. The algorithm is computationally simple, and intuitively appealing. Numerical examples illustrating the effectiveness of the proposed method are included.
Simulation-based Design Space Exploration (DSE) to evaluate all possible mappings for a given application and Multiprocessor-System-on-Chip (MPSoC) platform is computationally costly for large problems. Even using efficient exploration methodologies to evaluate the mappings cannot overcome the evaluation time bottleneck. This paper presents a novel DSE methodology that analyzes the execution trace...
This paper considers the detection of ball in a basketball game covered by multiple loosely synchronized cameras. First, plausible ball candidates are detected on the nodes of a 3D grid defined around the basket. This is done by correlating independently in each view the spatial template of the ball with a precomputed foreground mask. Efficient implementation of this step relies on integral images...
This paper presents an enhanced geometric hashing technique suitable for object recognition. Unlike the available geometric hashing, the proposed technique needs less amount of time and memory, uniform index distribution in the hash space without using any rehashing function. It performs indexing and searching in one pass with linear complexity. The proposed technique has been applied in biometric...
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