International Journal on Future Revolution in Computer Science & Communication Engineering
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Analysis of Data Aggregation Techniques of IOT
Get PDFThe internet of things is the self configuring network in which sensor nodes can join or leave the network when they want. The security, data aggregation are the two major issues of IOT. In the previous years various techniques are designed to improve data aggregation rate of IOT. The clustering is the technique which can increase data aggregation rate and reduce lifetime of the network. In this paper, various techniques are reviewed to improve lifetime of the network and increase data aggregation rate
Review Paper on Comparison of RIP, OSPF and EIGRP Protocols Using Simulation
Get PDFRouting plays important role in internet communication and it is based on routing protocols, now a day's many routing protocols exist, among these routing protocols most famous are RIP (Routing information protocol) and OSPF (Open shortest path first). In this research work we analyze the performance of these protocols in term of their convergence, traffic, CPU utilization by changing special parameters within network. Cisco Packet Tracer simulation tool is used to design the network; analysis of the results is examined using standard tools
Review: Future Scope of Mathematical Modelling of Pulse Combustor Suggested by Ahrens Et Al.
Get PDFvarious types of mathematical modeling give us different parameters in which model or technique is exclusive of some of one. In Kilicarslan model it reduces larger quantity of noise with unwavering output but at same time mean noise and self noise quantity having disturbances [2]. This paper is discussing about how Ahrens et al model is different and useful in combustor accept Kilicarslan. What are the unique parameters in Ahrens which is useful in pulse combustor
The New Method of Disease Detection Using Image Processing
Get PDFThe population of India is growing day by day, with the growing rate of population rate of disease is growing exponentially. There are various hazardous and life captivating disease in the world likes lung cancer, brain tumour, dengue etc. The premature detection of the diseases is necessary to save population of the world. Image processing is worldwide used technique in medical field. It is difficult for the practitioner to exactly construe and discover the diseases from medical images like from CT scan images. A beginner cannot accurately get the disease information, although the image processing helps a lot to categorize the diseases perfectly to save the life
Enhancing Video Deblurring using Efficient Fourier Aggregation
Get PDFVideo Deblurring is a process of removing blur from all the video frames and achieving the required level of smoothness. Numerous recent approaches attempt to remove image blur due to camera shake,either with one or multiple input images, by explicitly solving an inverse and inherently ill-posed deconvolution problem.An efficient video deblurring system to handle the blurs due to shaky camera and complex motion blurs due to moving objects has been proposed.The proposed algorithm is strikingly simple: it performs a weighted average in the Fourier domain, with weights depending on the Fourier spectrum magnitude. The method can be seen as a generalization of the align and average procedure, with a weighted average, motivated by hand-shake physiology and theoretically supported, taking place in the Fourier domain. The method�s rationale is that camera shake has a random nature, and therefore, each image in the burst is generally blurred differently.The proposed system has effectively deblurred the video and results showed that the reconstructed video is sharper and less noisy than the original ones.The proposed Fourier Burst Accumulation algorithm produced similar or better results than the state-of-the-art multi-image deconvolution while being significantly faster and with lower memory footprint.The method is robust to moving objects as it acquired the consistent registration scheme
Analysis Based on SVM for Untrusted Mobile Crowd Sensing
Get PDFMobile crowdsensing, which collects environmental information from mobile phone users, is growing in popularity. These data can be used by companies for marketing surveys or decision making. However, collecting sensing data from other users may violate their privacy. Moreover, the data aggregator and/or the participants of crowdsensing may be untrusted entities. Recent studies have proposed randomized response schemes for anonymized data collection. We have Developed vehicle Survey Mobile Application for decision making and predict marketing survey. This kind of data collection can analyze the sensing data of users statistically without precise information about other users� sensing results. In this proposed work, we use SVM classifier for classifying the data can be used by companies for marketing surveys or decision making. In which we worked on Parameter of a city, which will help in analyzing vehicle count as well their availability according to vehicle type, vehicle model etc. The Result analyses will directly affects in predicting the result oriented strategies
A Computational Approach to Predict the Severity of Breast Cancer through Machine Learning Algorithms
Get PDFBreast cancer is one type of cancer which causes from breast tissue. A lump in the breast, skin dimpling, breast shape changes, fluid from the nipple, or a red scaly patch of skin are some of signs of breast cancer. In the world, cancer is one of the most leading causes of deaths among the women. Among the cancer diseases, breast cancer is especially a concern in women. Mammography is one of the methods for finding tumor in the breast. This method is utilized to detect the cancer which is helpful for the doctor or radiologists. Due to the inexperience�s in the field of cancer detection, the abnormality is missed by doctor or Radiologists. Segmentation is very expensive for doctor and radiologists to examine the data in the mammogram. In mammogram the accuracy rate is based on the image segmentation. The recent clustering techniques are presented in this paper for detection of breast cancer. These Classification algorithms have been mostly studied which is applied in a various application areas. To maximize the efficiency of the searching process various clustering techniques are recommended. In this paper, we have presented a survey of Classification techniques
Sentiment Analysis of Twitter Data
Get PDFSentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, emotions, political and religious views from written language about personality, product or event and determined whether they are viewed positively or negatively. Our project will involve collection of data from web resources such as twitter by using Hadoop and intend to derive useful inferences and recommendations. From the evaluation of this study it can be concluded that the proposed machine learning and natural language processing techniques are an effective and practical methods for sentiment analysis
A Study of Progressive Model of Micro-Finance in India
Get PDFMicrofinance is describe as associate unit brolly under that money services as well as small credit measure provided to the weaker and low financial group. As we know Poverty alleviation is one of the primary goals of developing economy like India.The suppression of poverty and achieving the sustainable development are the two most important challenges facing by India and also the world in this century. On the basis of this, the role and significance of micro-finance inIndia cannot be denied. India is the home of 1/3 of the world�s poor and equally large number of people does not have an access to remittance and formal banking facilities. In India about 85 percent of the poorest household do not have access to credit. The basic idea of microfinance is to provide credit to the disadvantaged groups and poor people who would not have access to credit services.This paper tries todiscussconcrete framework of a microfinance institution in India and how Micro-financing is regarded as a tool for socio-economic up-lift in India. This paper also explainsthe role and significance of the microfinance and its models in current economic scenario of India
Energy Efficient Algorithm for AOMDV with Load Balanced Feature
Get PDFMANET is one of the most challenging and growing research fields due to their demand and challenges in the provision of services. Load balancing is one of the main problems of MANET since the load balancing of the network is essential for a better network life, QoS and congestion control. The approach proposed in the research emphasizes the stability of the load and the distribution of traffic in the network based on the energy of the nodes. The simulations are done in NS2. The results show that the proposed algorithm was able to reach the distribution and performance of the battery pack without increasing the overload in the network. But the average residual energy is even greater in the case of AOMDV, which leads to further compensation. The proposed algorithm has also managed to consume a balanced energy of all the nodes of the network