Volume 5 Issue 4 Oct-Dec 2017
REVIEW ON COOLING TECHNIQUE FOR ENHANCING THE EFFICIENCY OF SOLAR PHOTOVOLTAIC SYSTEM [pp 01-06]
NEW NAÏVE BAYES CLASSIFIER FOR IMPROVE INTRUSION DETECTION SYSTEM ACCURACY [pp 07-11]
Jitendra Malviya, Vaibhav Patel, Anurag Srivastava
ABSTRACT- Information security is becoming a more important issue for modern computer system, progressively. Intrusion Detection System (IDS) as the main security defensive technique is widely used against many category of attacks. IDS are used to detect various kinds of attacks in very large data. Data mining and machine learning technology have applied in intrusion detection systems. Many machine learning methods have also been introduced ….
OPTIMIZATION AND ANALYSIS OF SOLAR CELL DUE TO EFFECT OF TEMPERATURE IN CENTRAL INDIA [pp 12-20]
Manish Pawar, Punam Kumar
ABSTRACT- Solar energy is a valuable form of energy which has the potential to meet a significant proportion of the world’s energy needs. In India it is of much importance as summers are predominant for the major part of the year. In some parts of Rajasthan, it has been found out that atmospheric temperature reaches about 48oC and most part of the country above 40oC . In Rajasthan as ambient temperature reaches above 400C, ….
STRUCTURAL DESIGN & FEM ANALYSIS OF LARGE BUTTERFLY VALVE [pp 25-30]
Atul Shrivastava, Arun Patel
ABSTRACT- Valves for hydro power projects are fitted for safety, servicing and repair, and stop flow of water, as well as for flow and variation in pressure. A Valve used in hydel power plant is known as Butterfly valve and is a type of flow control device; it is widely used to regulate a fluid flowing through a section of pipe. This type of valve is mainly used as safety valve, turbine inlet valve, and pump valve for low to ….
SOFTWARE ENGINEERING REINFORCEMENT LEARNING- A ROUTE TO SELF-SUSTAINED AI SYSTEMS [pp 31-39]
Jay Patel
ABSTRACT- Reinforcement learning (RL) has risen as a robust framework for facilitating independent decision-making in software engineering, altering the ways systems adjust, enhance, and recuperate from failures. This paper examines how RL contributes to the enhancement of software engineering methods through the facilitation of self-learning and adaptive AI-based systems. The research explores the incorporation of RL across different phases of software development, encompassing design, testing, optimization, and maintenance, enabling autonomous systems that can make intricate decisions with little human involvement. The capability of RL to adapt from immediate feedback enables software to progress according to shifting needs and settings, enhancing system effectiveness, scalability, and robustness. We explore essential applications such as autonomous bug identification, system enhancement, code….