The main aim of this review paper is to provide comprehensive review of simple k mean clustering and modified k mean clustering techniques. Clustering is used as active research in various fields like statistics, pattern recognition and machine learning etc. Cluster Analysis is data mining tool for a large and multivariate database. Clustering is the one of data mining techniques in which data is divided into the groups of similar objects and dissimilar objects into another group. Clustering is a suited example of unsupervised classification.

Keywords: Clustering, clustering Technique: Simple K Mean and Modified k mean clustering.

In this paper, we are exhibiting an automated monitoring system using DHT-11, MQ-7, MQ-2, LDR sensor and this sensor data is represented graphically using ThingSpeak. For obtaining the stable data using all these sensors is a challenging task which is done by using shell programming language and interfaces the obtained data on Internet of Things (IoT). By successfully performing this system, it can be used in many applications such as Home automation weather station, Laboratory temperature logger. This system is implemented using Raspberry Pi B+ and Controller based ADC sensor module. The system provides a break through utilizing the sensor data on any applications as it is represented using ThingSpeak which is an emerging area of research. The system is pre-programmed as such it will work as standalone system mode.

Index terms: Raspberry Pi, Raspbian OS, Arduino DHT-11,MQ-7, MQ-2, LDR sensors, Shell, ThingSpeak.

Robotics is the branch of mechanical engineering, electrical engineering, lectronic engineering and computer science that deals with the design, construction, operation, and application of robots, as well as computer systems for their control, sensory feedback, and information processing. These technologies deal with automated machines that can take the place of humans in dangerous environments or manufacturing processes, or resemble humans in appearance, behavior, and/or cognition. Many of today's robots are inspired by nature contributing to the field of bio-inspired robotics.
The concept of creating machines that can operate autonomously dates back to classical times, but research into the functionality and potential uses of robots did not grow substantially until the 20th century. Throughout history, it has been frequently assumed that robots will one day be able to mimic human behaviour and manage tasks in a human-like fashion. Today, robotics is a rapidly growing field, as technological advances continue; researching, designing, and building new robots serve various practical purposes,
The main aim of the project is to provide security to transport vehicle automatically by the control system. This project includes pilot vehicle which control transport vehicle by keeping the distance detected by IR sensor. If there is a fire on the way to the pilot vehicle, pilot vehicle will sense the smoke using smoke sensor, immediately the transport vehicle will stop and it sends the information as message to control room via GSM and alarm starts ring at the control room. By using wireless camera, Pilot vehicle will observe the transport vehicle and the security from the control room can observe each and every movement.

Keywords
Intelligent vehicle highway systems, traffic management, intelligent vehicles, intelligent speed adaptation.

As in today’s scenario, security is the major issue for everyone, so for that situation random numbers plays a vital role for security purposes. Random numbers are those numbers that occurs in a sequence such that it becomes impossible to predict future values based on past or present one and such numbers are also required to be independent. These can be used for different purposes in cryptography for security purposes or for secure communication. In this paper, pseudo-random numbers are generated using Congruence equations.

Keywords- congruence equations, Chinese remainder theorem, randomness, pseudorandom generator, key generation, private-key encryption.