International Journal on Future Revolution in Computer Science & Communication Engineering
Not a member yet
1384 research outputs found
Sort by
Stock Prediction using Machine Learning
Get PDFThe paper give detailed on the work that was done using regression techniques as stock market price prediction. The report describes Linear regression methods that were applied with accuracy obtained using this methods, it was found this model is effective from other although there are several opportunities to expand the research further with additional techniques and parameters
Color Image Enhancement via Combine Homomorphic Ratio and Histogram Equalization Approaches: Using Underwater Images as Illustrative Examples
Get PDFThe histogram is one of the important characteristics of grayscale images, and the histogram equalization is effective method of image enhancement. When processing color images in models, such as the RGB model, the histogram equalization can be applied for each color component and, then, a new color image is composed from processed components. This is a traditional way of processing color images, which does not preserve the existent relation or correlation between colors at each pixel. In this work, a new model of color image enhancement is proposed, by preserving the ratios of colors at all pixels after processing the image. This model is described for the color histogram equalization (HE) and examples of application on color images are given. Our preliminary results show that the application of the model with the HE can be effectively used for enhancing color images, including underwater images. Intensive computer simulations show that for single underwater image enhancement, the presented method increases the image contrast and brightness and indicates a good natural appearance and relatively genuine color
Survival Analysis on Undergraduate Students� Persistence- Case study
Get PDFA longitudinal study on 1,998 undergraduate students in the four-year program was conducted in one of the universities in Kenya. These were students who had been admitted in the years 2012, 2013 and 2014. Data collected was for 64 months, from January 1, 2012 to May 27, 2017.Survival analysis was used to model and analyze the persistence of these students at the university. It was found that majority of the students who withdrew from the university did so in the first 12 months of study. There was a significant difference in the persistence of the male and female students, with the female students having a higher survival rate than the male students. It was also found that the persistence of the Kenyan and Non-Kenyan students was significantly different, with the Kenyan students having a higher survival rate than the Non-Kenyan students. Gender had a significant effect on the survival of these students with the risk of a male student withdrawing being 2 times higher than that of a female student
A Novel Step for the Enhancement of Security in ARIPORTS Using Optical Ideology
Get PDFThe security systems in airports are very important and the detection of entry of unauthorized person must be in high rate so as to have an improved efficient system. The real time systems in airports are implemented based on CCTV cameras. These CCTV cameras are used to record the events for future references. The high rapidity of correlation must be performed for the improvement of security in airports. Firstly, 4f system is introduced into the real time security system of the airport. The introduction of this optical system improves system performance and high speed of correlation. This optical system is designed in the simulation environment of MATLAB. The CCTV images and database images are compared together in MATLAB for various conditions. These conditions help to define the performance of the projected system and to have a better evaluation of the projected architecture. The projected system can outperform conventional correlator based systems with elevated speed of correlation. The projected system enabled by dynamic Fourier plane correlator system was found to have high speed performance
Hand Gesture Recognition using Python
Get PDFThe goal for the project was to develop a new type of Human Computer Interaction system that subdues the problems that users have been facing with the current system. The project is implemented on a Linux system but could be implemented on a windows system by downloading some modules for python. The algorithm applied is resistant to change in background image as it is not based on background image subtraction and is not programmed for a specific hand type; the algorithm used can process different hand types, recognizes no of fingers, and can carry out tasks as per requirement. As it is stated within this paper, the main goals were reached. The application is capable of the gesture recognition in real-time. There are some limitations, which we still have to be overcome in future
Vulnerabilities Issue in Social Media
Get PDF: Social networks have turned into a piece of the human life beginning from shearing information like texts, photos, messages; many have begun share most recent news. Young people will unreservedly surrender individual information to join social networks on the internet. The networking website offer the clear route for individuals to have a straightforward social nearness through web. They give the virtual condition to individuals to share every single movement, their advantage, and their hover of associate with their family, companions, or even the obscure with the so much sharing, programmer hackers and hoodlums have discovered simple approaches to take individual information through these networking sites. This call for progress in security reason to protect again hackers which frame the premise of this exploration in this paper we will talk about a portion of the security and security concerns, attacks and an engineering for secure demand trade of information between client . This design enhances the customization of profile. Our examination recommends that exclusive a legitimate information of the hacking methodologies will enhance the best guard in the war against the cyber attacks
Hybrid Atypical Hierarchical Routing Protocol for Wireless Sensor Network
Get PDFRecent advances in wireless sensor networks have led to many new protocols specifically designed for sensor networks where energy awareness is an essential consideration. Most of the attention, however, has been given to the routing protocols since they might differ depending on the application and network architecture. Since the radio transmission and reception consumes a lot of energy, one of the important issues in wireless sensor network is the inherent limited battery power within network sensor nodes. Therefore, battery power is crucial parameter in the algorithm design to increase lifespan of nodes in the network. In addition to maximizing the lifespan of sensor nodes, it is preferable to distribute the energy dissipated throughout the wireless sensor network in order to maximize overall network performance
Improving the Processing Time with Equally Spread Technique in Cloud Computing
Get PDFCloud Computing attracts many people because disappearing entrepreneur needs users consider pre-provisioning, and allows small businesses and expanding resources only when there is an increase in demand for services. In our research work we have used the Equally Spread Current Execution Load technique by creating 50 user bases and 2 data centers on different regions and configuring each user bases on different data centers. Furthermore simulation is run for 90 minutes using service broker policy for the betterment of the results. Finally we configured it with 50 user bases with 2 data centers on different regions by using linux operating system with virtual machine monitor (VMM). By allotting physical hardware units on data centers and running the simulation for 90 minutes it has been observed that the results obtained in case of Equally Spread Current Execution Load are far better than that of round robin. So in this research work we have implemented the Equally Spread Current Execution Load technique and improvement has been made on the behalf of overall response time and processing time of data centers which is much distinguishable as compared to the Round Robin Technique
Evaluate Various Techniques of Data Warehouse and Data Mining with Web Based Tool
Get PDFAll enterprise has a crucial role to play proficiently and productively to maintain its survival in the market and increase its profitability shares. This challenge becomes more complicated with advancement in information technology along with increasing volume and complexity of information. Currently, success of an enterprise is not just the result of efforts by resources but also depends upon its ability to mine the data from the stored information. Data warehousing is a compilation of decision making procedure to integrate and manage the large variant data efficiently and scientifically. Data mining shores up organizations, scrutinize their data more effectively and proficiently to achieve valuable information, that can reward an intelligent and strategic decision making. Data mining has several techniques and maths algorithms which are used to mine large data to increase the organization performance and strategic decision-making. Clustering is a powerful and widely accepted data mining method used to segregate the large data sets into group of similar objects and provides to the end user a sophisticated view of database. This study discusses the basic concept of clustering; its meaning and applications, especially in business for division and selection of target market. This technique is useful in marketing or sales side and, for example, sends a promotion to the right target for that product or service. Association is a known data mining techniques. A pattern is inferred based on an affiliation between matter of same business transaction. It is also referred as relation technique. Large enterprises depend on this technique to research customer's buying preferences. For instance, to track people's buying behavior, retailers might categorize that a customer always buy sambar onion when they buy dal, and therefore suggest that the next time that they buy dal they might also want to buy onion. Classification – it is one of the data mining concept differs from the above in a way it is used on machine learning and makes use of techniques used in maths such as linear programming, decision trees, neural network. In classification, enterprises try to build tool that can learn how to classify the data items into groups. For instance, a company can define a classification in the application that “given all records of employees who offered to resign from the company, predict the number of individuals who are likely to resign from the company in future.” Under such a scenario, the company can classify the records of employees into two groups that namely “separate” and “retain”. It can use its data mining software to classify the employees into separate groups created earlier. Fuzzy logic resembles human reasoning greatly in handling of imperfect information and can be used as a flexibility tool for soften the boundaries in classification that suits the real problems more efficiently. The present study discusses the meaning of fuzzy logic, its applications and different features. A tool to be build to check data mining algorithms and algorithm behind the model, apply clustering method as a sample in tool to select the training data out of the large data base and reduce complexity and time while computing. K-nearest neighbor method can be used in many applications from general to specific to find the requested data out of huge data. Decision trees – A decision tree is a structure that includes a root node, branches, and leaf nodes. Every one interior node signify a test on an attribute, each branch denotes the result of a test, and each leaf node represents a class label. The topmost node in the tree is the root node. Within the decision tree, we start with a simple question that has multiple answers. Each respond show the way to a further query to help classify or identify the data so that it can be categorized, or so that a prediction can be made based on each answer. Regression analysis is the data mining method of identifying and analyzing the relationship between variables. It is used to identify the likelihood of a specific variable, given the presence of other variables. Outlier detection technique refers to observation of data items in the dataset which do not match an expected pattern or expected behaviour. This technique can be used in a variety of domains, such as intrusion, detection, fraud or fault detection, etc. Outer detection is also called Outlier Analysis or Outlier mining. Sequential Patterns technique helps to find out similar patterns or trends in transaction data for definite period
Feminist Perspective in Shashi Deshpande's That Long Silence
Get PDFDeshpande writes about the condition of women and their failures in the rapid life changing socio economic background of India. Her portrayal of women’s world is genuine, pragmatic and realistic as she presents the middle class women in her novels and writes about silent, sobbing women, mothers, grand-mothers, aunts, sisters, grand-aunts, daughters and a whole lot of women.Usually considering the dawn of culture, has been a struggle to unconstrained women from male oppression. The time before the movement of speaking or writing, work by the women authors has been undervalued because of some patriarchal assumption. Which woman affects the in justices and meted to the special category. Then literature experiences are notified that the woman chances and their preference guide which ever supportive. Basic women raise always economic social and cultural are fulfillment of in history.The novel are well research try to and long silenceamong maintain the writer paint of them.The true spirit of feminism is into look at women and men as human beings. There should not be a gender bias or prejudice in familial and social and cultural life. Establishing justice and gender equity is the key aspects of feminist movement.The mechanical and artificial love is significant where gender discrimination exists in family environment. Jaya could break her silence after the support of Kamat but decides to keep silence and surrender. Violence is not the solution to the problems, to bring a change one has to wait and to be optimistic. Feminist movement advocates the equal rights and equal opportunities for women