Volume 1 Issue 1

Paper 1: Algorithm for Coding Person’s Names in large Databases / Data Warehouses to Enhance Processing Speed, Efficiency and Reduce Storage Requirements

  • Abstract-:A technique to codify the names of people in Databases and Data warehouses to reduce the storage requirements and enhance processing speed is presented. It is estimated that the storage requirement can be reduced, which is normally dominated by the entries of first name, middle name and last name and storage requirements for Data warehouses keep on increasing. The scheme of the Algorithm replaces the first name, middle name and last name in numeric charterers instead of alpha characters for storage. It decodes them into actual Alpha Characters at the time retrieval. The step by step analysis and working of the algorithm is presented.

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Paper 2: Analyzing and Resolving Issues in Software Project Risk Management

  • Abstract-:In last decade the main reason for projects failure is poor management of software. But now a day’s most of the organizations are focusing on software project management for making project successful. Software project management provides overall management of software from project planning phase to project execution. In software project management we also deal with risks that may occur during development of projects. In this paper we analyze risks during management of software and we resolve issues that come in software project risk management. We introduce some approaches by which we can resolve all the issues regarding software risk management. Risk management also suggests us that how we can avoid risks and if risks occur then how we can control those risks. By analyzing software risk management, we come to know that what factors affect risk management and how we can remove them. Software risk m1anagement manages all risks efficiently and makes our project successful.

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Paper 3: Algorithm and Technique for Animation

  • Abstract-: Fluids simulation particularly water courses such as rivers are an important element to achieve realistic simulations in real-time applications like video games. This work presents a new approach called SiViFlow that simulates watercourses in real-time. The algorithm is flexible enough to be used in any type of environment and allows a river to be dynamically generated given any riverbed. The component that manages the flow is responsible for the water animation and allows the use of various techniques to simulate visual features. As all the information is dynamically generated, SiViFlow also reacts to dynamic objects that come in contact with the river, properly adjusting the course of the flow. This work helps accelerate and improve the methods of creating realistic rivers so that they can be used in video games.

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Paper 4: Effects of Mobile Phone Radiation on Human Health

  • Abstract-:In past 20 years the use of mobile phone has increased manifold. After 2015 there are more mobiles than humans on this earth. This makes the world a hub of communication as well as Centre of social network. There is a huge growth of antennas and towers to support increasing trend of mobile. Along with that, there is a growing concern that radiations emitted by Mobile Stations or these towers are dangerous for health. Although many believe that it is yet to be proved that these radiations are injurious to health, especially harmful to heart, brain, nervous system and many more, but a large number of mobile users know that mobile radiations are dangerous for sure. This research is an effort to find actual impacts of radiations by mobiles on human health and to find the impact of heavy mobile usage on our society as physical contact has been now replaced to peer to peer (p2p) on the phone.

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Paper 5: A Quantum Optimization Model for Dynamic Resource Allocation in Cloud Computing

  • Abstract-: Quantum Computing and Cloud Computing technologies have potential capability to change the dynamic of future computing. Similarly, both Complexities, time and Space are the basic constraints which can determine the efficient cloud service performance. Quantum optimization for the cloud resources in dynamic environment provides a way to deal with the present classical cloud computation model’s challenges. By combining the fields of quantum computing and cloud computing, will result in evolutionary technology. Virtual resource allocation is a major challenge facing cloud computing with dynamic characteristics, a single aspect for the evaluation of resource allocation strategy cannot satisfy the real world demands in this case. Quantum Optimization resource allocation mechanism on the cloud computing environment based two-way factors, improving user satisfaction and best use of resource utilization of cloud computing systems.

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Paper 6: Energy Efficient Schemes for Wireless Sensor Network (WSN)

  • Abstract-: Conservation of energy is the main design issue in wireless sensor network (WSN) which is usually available at each node. Although different solutions have been introduced for typical wireless networks, cellular networks, MANET, and other short-range wireless local area networks, yet they are not often much feasible for a large scale WSN. For this purpose, multiple mobile sink nodes can be deployed to increase the life of sensor network. The purpose can be achieved by splitting the life time into equal time interval known as rounds. Similarly, by employing multiple sink nodes can also make the sensor network more energy efficient. Another way to make the sensor network energy efficient is to logically divide the deployment area into static clusters. By adopting the strategy of static cluster, energy consumption can be minimized. The two major wireless standards used by WSN are 802.15.4 and Zigbee [1] & [2] .They are low-power protocols. Maximum distance is around 100m (at 2.4 GHz). However, performance is an issue. In order to assure the Wireless sensor network (WSN)s survivability and increase the lifetime of network in such environments, various energy efficiency schemes have been proposed in the literature. Energy is a valuable commodity in wireless networks due to the limited battery of the handy devices. The energy problem becomes stiffer in ad-hoc WSN).

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Paper 7: Face and Face Parts Detection in Image Processing

  • Abstract-:This paper based on a procedure for automatically detecting one or more human faces, eyes pair, nose, mouth in colour images. This is depending on two-method which first detects regions of face, eyes pair, nose, mouth contain human skin in the colour image and then extracts information from these regions and then detect the regions which include face, eyes pair, mouth, nose in the colour image. The face, eyes pair, mouth, nose identified is completed on a colour image having only the identified image parts. An arrangement of thresh holding and calculated values and some functions are used to remove item structures that would show the existence of an identified area.

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Paper 8: Denoising of 3D magnetic resonance images using non-local PCA and Transform-Domain Filter

  • Abstract-:The Magnetic Resonance Imaging (MRI) technology used in clinical diagnosis demands high Peak Signal-to-Noise ratio (PSNR) and improved resolution for accurate analysis and treatment monitoring. However, MRI data is often corrupted by random noise which degrades the quality of Magnetic Resonance (MR) images. Denoising is a paramount challenge as removing noise causes reduction in the fine details of MRI images. We have developed a novel algorithm which employs Principal Component Analysis (PCA) decomposition and Wiener filtering. We have proposed a two stage approach. In first stage, non-local PCA thresholding is applied on noisy image and second stage uses Wiener filter over this filtered image. Our algorithm is implemented using MATLAB and performance is measured via PSNR. The proposed approach has also been compared with related state-of-art methods. Moreover, we present both qu1alitative and quantitative results which prove that proposed algorithm gives superior denoising performance.

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