Volume 7 Issue 6
Design and Implementation of a AI Automotic Decesion Robot using Arduino UNO controller
Author's Name: Tathagat Yadav, Ankit yadav

Abstract—In recent years Machine Learning has a major impact in the field of medical science due to its ability to learn and analyze from the examples provided. There are lots of treatments that are available for various common diseases that can be detected by individuals and doctors just on the basis of symptoms. But it is not possible for any human to know about all diseases. So, the problem is that there isn’t any place where anyone can have the details of the diseases based on the symptoms. What if there is a place where we can find our health problem just by entering symptoms. The proposed idea is to create a chatbot that can predict disease using Apriori algorithm just by providing symptoms. Also, by using Recurrent Neural Network algorithm this system can be simply used as a tool of communication. Hence it can be beneficial for people as early detection of the disease can help in better treatment and recovery. Moreover, this system will help people to keep track of their heath regularly and properly without going anywhere.

Design and Development a MediBot Disease Prediction Systen using Apriori algorithm and RNN
Author's Name:Tathagat Yadav, Ankit yadav

Abstract—— In recent years Machine Learning has a major impact in the field of medical science due to its ability to learn and analyze from the examples provided. There are lots of treatments that are available for various common diseases that can be detected by individuals and doctors just on the basis of symptoms. But it is not possible for any human to know about all diseases. So, the problem is that there isn’t any place where anyone can have the details of the diseases based on the symptoms. What if there is a place where we can find our health problem just by entering symptoms. The proposed idea is to create a chatbot that can predict disease using Apriori algorithm just by providing symptoms. Also, by using Recurrent Neural Network algorithm this system can be simply used as a tool of communication. Hence it can be beneficial for people as early detection of the disease can help in better treatment and recovery. Moreover, this system will help people to keep track of their heath regularly and properly without going anywhere.

User Monitoring behaviour in Structured ECommerce Web Application
Author's Name:K. Shanmuga Sundaram

Abstract—Online shopping is becoming more and more common in our daily lives. Tracking user’s interests and behaviour is essential in order to fulfil customer’s requirements. The information about user’s behaviour is stored in the web server logs. Absorbing a view of the process followed by user’s during a session can be of great interest to identify the behavioural patterns. The analysis of such information has focused on applying data mining techniques. Data mining is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis. It is a process used by companies to turn raw data into useful information. By using software to look for patterns in large batches of data, businesses can learn more about their customers to develop more effective marketing strategies, increase sales and decrease costs. To address this issue, this paper proposes a linear temporal logic model checking method for the analysis of structured e-commerce web logs. By defining a common way of tracing log records according to the ecommerce structure, web logs can be converted into event logs where the behaviour of user’s is tracked. Then, different predefined queries can be performed to identify different actions performed by a user during a session. The proposed approach has been studied by applying it to a real case study of a Spanish e-commerce website. The results have identified interesting findings that have made possible to propose some improvements in the website design with the aim of increasing its efficiency

Controlling Optimization Techniques for Efficient Energy Harvesting in WSN
Author's Name: Namamta Awasthy

Abstract—The reduction of the energy consumption is compensated by harvesting RF energy of a WSN using a techniques realized to practical extent, considering the numerous forced limitations. In scheming energy harvesting regulation, techniques were suggested in control methods. The techniques reserved must promise in such a way the limitations are forced by the utility with regard to the quantity of acquired data is attained, whereas the lifetime of the network is increased, in contrast to present and simple arraying. Amidst several control techniques, Model predictive control (MPC) is a one of the important controlling methods. It has several effective uses. This paper contrasts MPC method for automated tuning with Flower Pollination Optimization (FPO) and Particle Swarm Optimization (PSO). The major confrontation of MPC is in tuning of control factors for several WSN targets, and PSO or FPO application for automated tuning may become member of solutions. The computational results for energy harvest of WSN reveal the influence of the suggested PSO and FPO dependent tuning.

Case Study of Computer Graphics and Techniques in Different Aspects
Author's Name:Susmitha R, Mohammad Raiz Khan

Abstract—Computer graphics is an exclusive art of drawing lines, pictures, charts, etc using computers with the help of proper programming. It is made up of number of pixels. The smallest graphical picture or unit which is represented on the computer screen is called Pixel. Computer Graphics is used for manipulating and representing an image data by computer. The continuous development in this field has created a vast change in media like video game and animation industry. The paper aims to provide a step-by-step understanding of the process of developing computer graphics. The applications of computer graphics have also been discussed in detail.

A Comparative Review Study on Cyber Crime in recent Aspects
Author's Name:Shivaji Kachare

Abstract—Cybercrime is one of major problem that people face now a days and it effects the individual, organizations and even the Government. Cybercrime is basically a crime in which an offence is committed against an individual or group of people and itharms their emails, websites and mobile phones. This paper introduces review on cybercrime in detail

Identifying Autonomous Identification of Sentiment in Spontaneous Human Gesture Expression
Author's Name:D. Santhosh M. Sriram

Abstract— In the field of identification of human emotion, human face plays a vital role. There are two forms of communications verbal and non-verbal, the facial expression is of the non-verbal communication. It depicts the human perspective. There will be a natural interaction between computers and humans if computers are able to receive and respond to human emotion. Many works on emotion recognition have been developed however; they were not robust enough for real-time emotion recognition tasks with respect to variations in the face and the movement in the head etc. Here, in this paper, we build an emotion detection system which can analyze basic facial expression of humans. In this study, the system is divided roughly into three stages i.e. face detection, feature extraction, and facial expression classification.

Critical study Investigation on Properties and Characteristics of Mechanical Composites in Copper
Author's Name:Nidhi U, Susmitha R, Anand H N

Abstract—In this research, copper matrix composite reinforced with 5, 10 and 15 Vol. % SiC particles was fabricated via stir casting method. Pure atomized copper powder and Silicon carbide particulate with an average particle size 30 nm (99.9% purity) was used as reinforcement to fabricate Cu-SiC composites at casting temperature (8500C) and stirring periods(2 and 6 min). Optimum amount of reinforcement and casting temperature were determined by evaluating the density, microstructure and mechanical properties of composite. The composite were characterized by scanning electron microscopy (SEM). Hardness test were carried out in order to identify mechanical property. A good distribution of the dispersed SiC particulates in the matrix alloy was achieved

Implementation of Autonomous AIChat Bot Application For Banking Users Personal Assistance
Author's Name:Dobariya Aratiben Ashvinbhai

Abstract—Everyone wants to get fast that they want. Chatbots are intelligent systems that understands user’s questions and answers accordingly. Going to banks and ask questions to any bank employee, the procedure takes too much time to process a single question. So our focus is to make an intelligent assistant System that will save time of users and reduce workload of bank employees. It is like a personal assistant that user feels that they are communicating with a person. The user can ask their queries in plain text in English or in voice. According to user's query the system will process the query and generate response. To complete these tasks we have used artificial intelligence and natural language processing. The system will be available as a web so it can be easily accessible. It can be run on the pc or mobile phones.

Identifying network visualization and analysis tools Using Knowledge Visualization Networks techniques
Author's Name:

Abstract—Network science is an ever-evolving field. As the research continues to evolve, new gaps are opened, and tools are created to help fill these gaps. There are a variety of network analysis tools available for research and they cover a wide range of use cases. However, there are three gaps to be addressed. First, there seems to be little discussion that network links can carry as much information (attributes) as nodes, and the important role that this information can play. Second, there is a need for multimedia data within networks, where images, video, sound and documents can be used to visually enhance the display of information in a network. Third, network partitions do not address the idea of multiple classifications, direct use of continuous data to create clusters, or clusters composed entirely of links. A Knowledge Visualization Network (KVN) is presented as an innovative approach to filling this gap.

A Case Study Paper on Important Impact of Go-Kart race Application
Author's Name:Ram Kartik

Abstract—Go-Kart racing is a constantly growing concept all over the world. Go-Kart is four wheeled vehicle designed for racing and in some countries for enjoyment purpose also. It is not a factory made product. Kart racing is accepted as it is one of the most economic forms of racing. It is bridge between theoretical knowledge and practical knowledge. It is a fun activity. We have designed, fabricated and manufactured the Go-Kart for racing application. This paper includes design of ideas, imaginary concept, designing, analysis, teamwork, project management and development, costing and budgeting. The main objective of kart is to manufacture the kart within a given period time, without any loss of time. So the remaining time can be utilized to increase the performance of kart to get better result in racing. Most of time is wasted in manufacturing and fabrication of the various parts of kart.

Design and I Implementation of Solar Tracking Techniques to Enhance the Performance of Air Cooller System
Author's Name:Gopi Chand, Murali Boosa

Abstract—This paper deals with a brief article about a solar tracking mechanism & it’s working explained along with Air Cooler. A solar tracker is a device that orients a payload toward the sun. Payloads can be photovoltaic panels, reflectors, lenses or other optical devices. In this system we will use photo voltaic method to absorb the solar energy usually with photovoltaic panels. The solar panel was tilted according to the sun movement. So this mechanism is called “Solar Tracking Mechanism”. The above figs will give the brief idea about photo voltaic effect & conversion of light to electricity

Identifying network visualization and analysis tools Using Knowledge Visualization Networks techniques
Author's Name:R Vivek, Rajesh Kumar

Abstract—Network science is an ever-evolving field. As the research continues to evolve, new gaps are opened, and tools are created to help fill these gaps. There are a variety of network analysis tools available for research and they cover a wide range of use cases. However, there are three gaps to be addressed. First, there seems to be little discussion that network links can carry as much information (attributes) as nodes, and the important role that this information can play. Second, there is a need for multimedia data within networks, where images, video, sound and documents can be used to visually enhance the display of information in a network. Third, network partitions do not address the idea of multiple classifications, direct use of continuous data to create clusters, or clusters composed entirely of links. A Knowledge Visualization Network (KVN) is presented as an innovative approach to filling this gap.