Global Journal of Computer Science and Technology (GJCST)
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Strategic ERP [Enterprise Resource Planning] System Planning in Alignment with Business Planning for its Improvements
Get PDFEnterprise resource planning (ERP) system has been one of the greatest widespread business management systems, provided that benefits of real-time abilities and whole communication for business in large organizations. However, not all ERP systems implementations have been successful. Since ERP implementation touches entire organizations such as process, people, and culture, so on. There are a number of experiments that companies may come across in implementing ERP system. Business approach is significant to all organizations . Nearly more than 500 companies are implementing Enterprise Resource Planning (ERP) systems to improve the execution of their business strategy and to improve combination with its information technology (IT) strategy. This research observes business and IT planned alignment and pursues to determine whether an ERP implementation can drive business process reengineering and business and IT strategic alignment
Measurement and Classification of Network Traffic Analysis Using Hardoop
Get PDFNetwork traffic can classified as a process which list computer network based on some parameters like port number and protocols into some traffic classes like undesired, sensitivity etc. Traffic can be implemented differently to differentiate the service required for the user for the specific purpose. The large demand of increase in internet users and increase in bandwidth required for various applications are escalating day by day. The traffic data needs to be classified and analyzed with certain tools. Hardoop is the tool which performs the task in very time efficient manner. Hardoop actually run on commodity hardware which process this huge data with hive. Traffic analysis, measurement and classification are done by hardoop based tools at various parameters of packet and flow level. The derived result is used by network administrator for resolving networking related issue. The measurement of internet traffic and analysis has been implemented from long before but the problem is recent years the user in internet has escalated dramatically. We proposed network traffic management system for analyzing internet traffic of multi-terabytes in extensible manner to perform HTTP, ICMP, UDP, TCP and IP
Energy Efficient Weighted Clustering Algorithm in Wireless Sensor Networks
Get PDFWith the advancement in communication and internet technologies, recently there have been many research efforts in the area of Wireless Sensor Networks (WSNs) to conserve energy. Clustering mechanisms have been applied to WSNs to enhance the network performance while reducing the necessary energy consumption. The goal of Weighted Clustering Algorithm (WCA) is to determine the cluster heads dynamically based on a combined weight metric that includes one or more parameters such as node degree, distances with respect to a nodes neighbors, node speed and the time spent as a cluster head. In this work, we have proposed a refined and improved version of WCA known as Energy Efficient Weighted Clustering Algorithm (EEWCA) to prolong the network lifetime by reducing energy consumption. EEWCA is designed and simulated with additional constraint on energy for the selection of cluster heads. Both the WCA and EEWCA schemes have been simulated using MATLAB. The proposed EEWCA behaves better than WCA for longer system lifetime. The proposed work is simulated and performance is tested for number of clusters and average execution time. Simulation results show that the EEWCA outperforms WCA in terms of both the number of clusters formed and the execution time
Review of Microscopic Image Processing techniques towards Malaria Infected Erythrocyte Detection from Thin Blood Smears
Get PDFIn order to diagnose malaria, the test that has traditionally been conducted is the gold standard test. The process mainly entails the preparation of a blood smear on glass slide, staining the blood and examining the blood through the use of a microscope so as to observe parasite genus plasmodium. Although these are several other kinds of diagnostic test solutions that are available and which can be adopted, there are numerous shortcomings which are always observed when microscopic analysis is carried out. Presently, the treatments are hugely conducted based on symptoms and upon the occurrence of false negatives, it might be fatal and may result into the creation of different kinds of implications. There have been a number of deaths which have been associated with malaria and as a result, there is the dire need to ensure that there is early detection of malarial infection among the people. This manuscript mainly provides a review of the current contributions regarding computer aided strategies, as well as microscopic image processing strategies for the detection of malaria. They are discussed based on the contemporary literature
Oil Exploration using Soft Computing
Get PDFSoft computing (SC) techniques provide wide variety of applications in data processing, analysis and interpretation. SC play a key role in the geo sciences due to the immense size and uncertainty associated with the data. The nature of SC assesses oil industry in oil exploration and optimization of oil wells. There is a significant change in oil industry due to the complex techniques and modern equipment. Intelligent systems like Neuro computing and Artificial Intelligence are available for the exploration of oil and popular evolutionary algorithms have effective methods for the optimization of oil wells but processing of vague data create problems for the existing techniques. Uncertainty data plays a crucial role to take vital decisions. The research uses seismic data in the process of oil exploration and compared the proposed method with the existing methods and results are favorable to the proposed research
Understanding Network Routing Problem and Study of Routing Algorithms and Heuristics through Implementation
Get PDFIn this project, we intend to identify, understand and compare various routing algorithms used in real world networks. The various objectives of this research are: 1. Define and understand the concepts of routing. 2. Determine if a Greedy or Dynamic Programming strategy algorithm is more efficient for routing, in general. Identify which strategy is used more in real world networks. 3. Identify the common routing algorithms used in networks. Identify which algorithms are used in which scenarios. 4. Identify the performance metrics for gauging algorithms. 5. Compare existing routing algorithms in various scenarios (on the simulation software). Also note specific phenomena or anomalies during simulation. 6. Think of modifications (if any) in existing routing algorithms, or devise a new routing algorithm
A Review of Technical Issues on IDS and Alerts
Get PDFThe fact that swindlers can trick computer and mobile systems to commit different criminal offenses have to lead to the current advancement in the domain of Intrusion Detection Systems IDSs While the toolkits are growing mechanisms for monitoring analyzing gathering and reporting activities that can endanger computer and mobile systems however they are frequently subjected to series of fiery debates over the years Thus a wide range of taxonomy has been proposed to clarify their strengths and weaknesses Nonetheless researchers often reticent from critical issues associated with the used alerts and unused alerts that the toolkits can generate to warn analysts Thus this paper presents the progression of the above mechanisms over the years and exhaustively explains some salient issues that were faulted in the previous reviews Finally we suggest various ways to improve the efficacy of the toolkits and how to lessen cases of intrusions across the glob
A Video Stabilization Method Based on Inter-frame Image Matching Scorea
Get PDFVideo stabilization is an important video enhancement technology which aims at removing annoying shaky motion from videos. In this paper, we propose an robust and efficient video stabilization algorithm based on inter-frame image matching score. Firstly, image matching is performed by a method combining Maximally Stable Extremal Regions (MSERs) detection algorithm and Features from Accelerated Segment Test (FAST) corner detection algorithm, which can get the matching score and the motion parameters of the frame image. Then, the matching score is filtered to filter out the high frequency component and keep the low frequency component. And the motion compensation is performed on the current frame image according to the ratio of the matching score before and after the filtering to retain the global motion and remove the local jitter. Various classical corner detection operators and region matching operators are compared in experiments. And experimental results illustrate that the proposed method is effective to stabilize translational, rotational, and zooming jitter and robust to local motions, and has the state-of-the-art processing speed to meet the needs of real-time equipment
PSO Based Lossless and Robust Image Watermarking using Integer Wavelet Transform
Get PDFIn recent days, the advances in the broadcasting of multimedia contents in digital format motivate to protect this digital multimedia content form illegal use, such as manipulation, duplication and redistribution. However, watermarking algorithms are designed to meet the requirements of different applications, because, various applications have various requirements. This paper intends to design a new watermarking algorithm with an aim of provision of a tradeoff between the robustness and imperceptibility and also to reduce the information loss. This approach applies Integer Wavelet Transform (IWT) instead of conventional floating point wavelet transforms which are having main drawback of round of error. Then the most popular artificial intelligence technique, particle swarm optimization (PSO) used for optimization of watermarking strength. The strength of watermarking technique is directly related to the watermarking constant alpha. The PSO optimizes alpha values such that, the proposed approach achieves better robustness over various attacks and an also efficient imperceptibility. Numerous experiments are conducted over the proposed approach to evaluate the performance. The obtained experimental results demonstrates that the proposed approach is superior compared to conventional approach and is able to provide efficient resistance over Gaussian noise, sal