INTERNATIONAL JOURNAL OF RESEARCH -GRANTHAALAYAH

3

Authors: Dr. Bijender Singh Chauhan

Colours are forces radiant energies that affect us positively or negatively, whether we are aware of it or not in our daily life. The effects of colours should be experienced and understood not only but also psychologically and symbolically. This paper investigates the various effects of light and colours on our visual apparatus –eye and brain and their anatomical relationships and functions. This paper describes the influence of colour radiation on our mind and spirit. Discovery of relationships, mediated by the eye and brain is major concern of my studies. Paper describes colour perception and colour aesthetic in three directions: 1) Impression (visually) 2) Expression (emotionally) 3) Construction (symbolically).

9

Authors: Mala Bharti Lodhi, Prof. Vineet Richhariya, Prof. Mahesh Parmar

Now in these days due to rapidly increasing network applications the data and privacy security in network is a key challenge. In order to provide effective and trustable security for network, intrusion detection systems are helpful. The presented study is based on the IDS system design for network based anomaly detection. Thus this system requires an efficient and appropriate classifier by which the detection rate of intrusions using KDD CPU dataset can be improved. Due to study there is various kind of data mining based, classification and pattern detection techniques are available. These techniques are promising for detecting network traffic pattern more accurately. On the other hand recently developed the hybrid models are providing more accurate classification. Thus a hybrid intrusion system is presented in this proposed work. That provides a significant solution even when the overall learning patterns are not available in database. Therefore, three different data mining algorithm is employed with system. Proposed system consists of K-mean clustering algorithm for finding the relationship among data in order to filter data instances. The implementation of the proposed classification system is performed using MATLAB environment and performance of designed classifier is evaluated. The obtained results from the simulation demonstrate after filtering steps. On the other hand the classification accuracy is adoptable with low number of training cycles with less time and space complexity.

12

Authors: Banti Khan, Ashita Goyal, Prof. Ashutosh Kumar Chobey

Three phase induction motors are widely used in industries due to their various technical as well as economical advantages. About 60% of industrial electricity is consumed by these motors, but the heat generation inside the motor due to various losses is a critical factor which degrades the dielectric properties of insulation and shortening the lifespan of motor. This paper presents the capillary based water cooling method of three phase squirrel cage induction motor. In this method, a jacket of capillaries made of jute and cotton is used as a outer cover for the motor casing. A small air gap passage is provided in between motor casing and inner surface of jacket. Natural Water Cooling Capillaries (NWCC) method is used to lower down the surrounding temperature of motor which reduces heating limitations of motor. For this purpose we select a 1.1kW three phase, 50Hz squirrel cage induction motor. Heat run test is performed on this motor to determine the total loss of energy dissipated as heat on three phase squirrel cage induction motor with and without adopting capillary based water cooling method. Comparison is done on the basis of experimental result which shows that the temperature withstanding capacity of induction motor will increase by 15.5 % after adopting capillary based water cooling method. This is an economical method and no external energy is required for cooling purpose.