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Mobile devices are becoming essential for today's life. In developed countries, about half of the people have a Smartphone, resulting in millions of these electronic devices. Android is the most popular operating system for Smartphones and other electronic devices such as tablets. Hence, for network administrators, it is essential to start managing all the Android based devices. Network is formed by the collection or group of computers. While in office is an easy task to manage and control the activities of the network. A remote LAN (Local Area Network) network can be controlled by a user from anywhere using a mobile based application (running on ANDROID operating system). The necessity of such a system arises when the user in unavailable at the actual site of the network. In such a case, to monitor and control the various activities of the network, a wireless and user friendly interface needs to be created through which the user can execute different commands to control the various activities of the network by using Wi-Fi, GPRS. Keywords: Android, remote LAN, Wi-Fi, GPRS.

Human beings are dependent on the natural resources that stands for its quality. Climatic changes and environmental impacts have always been under observation. The quality of the products is always measured before use. Water, an inevitable resource ,has got a serious significance in checking its quality due to the influence of various external factors like industrial effluents, acid rain etc. This paper provide same theology for assessing the water quality that uses statistical quality control technique and Machine Learning algorithms to scale up the classification accuracy. The classification is focused on deciding if the water is suitable for drinking purpose. The goal of this study is to develop a water quality prediction model with the help of water quality factors using Artificial Neural Network (ANN) and time-series analysis.

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