Computer Sciences and Engineering

— Nowadays, the usage of e-commerce is growing day by day, so online users are also rising. Every user spends their most of the time on e-commerce websites and their behavior is different from one another. E-commerce has become very competitive so, knowing user's behavior has become prior concern. Most of the e-commerce platforms are using either content based or collaborative approach to predict user behavior. Collaborative approach has become obsolete. Many e-commerce websites mainly rely on the content based approach. But for better recommendation, it is important to make use of the user data as well. We propose design and implementation of hybrid system by K-mean algorithm and Hidden Markov Model. Machine learning regression algorithms are used to fetch user's priorities and clustering of data through K-mean algorithm.

Automated number plate recognition is an image processing technique that uses number plate for identification and authorization of products. The paper aims to design a vehicle identification system by using template matching. The proposed system detects an authorized vehicle followed by capturing its image. The system is highly efficient and can be installed in high security zone like government offices including parliament and Supreme Court. The system is implemented in MAT lab. The experimental result of proposed system is also compared with existing pattern matching technique.

Shelter is a basic necessity of life. Every human in all categories are entitled to securing a desired accommodation with an ease, in this advent of advancement in technology. Currently, the process of securing accommodations/houses in most cities of developing countries are characterized by stress, discouragement, confusion, fear of exorbitant rent charges and estate agents' commission among others. While there have been drastic improvements in the first and second world countries, enormous work is still required in the Third world countries to eradicate challenges surrounding acquisition of basic needs of life, among which accommodation is primary. This work maximizes the advent of semantic web technology in a platform that integrates all players in e-Housing for a lasting solution strategy.

This paper describes a command interface for games based on hand gestures and voice command defined by postures, movement and location. The system uses computer vision requiring no sensors or markers by the user. In voice command the speech recognizer, recognize the input from the user. It stores and passes command to the game, action takes place. We propose a simple architecture for performing real time colour detection and motion tracking using a webcam. The next step is to track the motion of the specified colours and the resulting actions are given as input commands to the system. We specify blue colour for motion tracking and green colour for mouse pointer. The speech recognition is the process of automatically recognizing a certain word spoken by a particular speaker based on individual information included in speech waves. This application will help in reduction in hardware requirement and can be implemented in other electronic devices also.

— This paper provides a multidisciplinary overview of the research issues and achievements in the field of Big Data and its visualization techniques and tools. The main aim is to summarize challenges in visualization methods for existing Big Data, as well as to offer novel solutions for issues related to the current state of Big Data Visualization. This paper provides a classification of existing data types, analytical methods, visualization techniques and tools, with a particular emphasis placed on surveying the evolution of visualization methodology over the past years. Based on the results, we reveal disadvantages of existing visualization methods. Despite the technological development of the modern world, human involvement (interaction), judgment and logical thinking are necessary while working with Big Data. Therefore, the role of human perceptional limitations involving large amounts of information is evaluated. Based on the results, a non-traditional approach is proposed: we discuss how the capabilities of Augmented Reality and Virtual Reality could be applied to the field of Big Data Visualization. We discuss the promising utility of Mixed Reality technology integration with applications in Big Data Visualization. Placing the most essential data in the central area of the human visual field in Mixed Reality would allow one to obtain the presented information in a short period of time without significant data losses due to human perceptual issues. Furthermore, we discuss the impacts of new technologies, such as Virtual Reality displays and Augmented Reality helmets on the Big Data visualization as well as to the classification of the main challenges of integrating the technology.

The aim of this paper is to develop home automation system based on IOT using Wi-Fi based microcontroller. As scope of technology is widening every day, we are making our tech advance in mobile, robotics, Machine Learning, then why an exception for our home. Today houses are gradually transferring from ordinary/human’s input-based appliances to smart/IOT enabled appliances to be controlled remotely. At Present, existing home automation systems use technology that is limited to only that device. So, in a nutshell, we are making our devices IOT enabled not our homes.