Final project | PENTACODE

Wireless Sensor Networks: A survey monitoring water quality Electrical, Computer and Telecommunication Engineering Department of Botswana International University of Science and Technology Palapye Botswana 28 th April 2016   (07) With the development of the world and the changes occurring in the nature, the water resources are getting highly degraded. So the researchers have to do many investigations for monitoring the quality of water for various usages. With regarding the above survey, they have conducted the studies examining the water quality by using wireless sensor networks. These networks were relatively affordable and allowed measurements to be taken remotely in real time and with minimum human intervention. As they monitored air, forest and climatology, they were able to use wireless sensor networks. But in our project we are using wired sensor networks because we need high s...

                                                         This research work aims to compare the performance of the data mining algorithms with soil limitations and soil conditions in respect of the following characteristics: Acidity, Alkalinity and sodality, Salinity, Phosphorus fixation, cracking and swelling properties, Depth, Soil density and Nutrient content. This overall process of finding useful knowledge in raw data involves the following steps: 1.      Developing an understanding of the application domain 2.      Creating a target dataset based on an intelligent way of selecting data by focusing on a subset of variables or data samples 3.      Data cleaning and pre–processing 4.      Data reduction and projection 5.      Choo...

                                                                 Pipe breaks in urban water distribution network lead to significant economic and social costs, putting the service quality as well as the profit of water utilities at risk. In this method we use Data mining prediction method to detect pipe failures. For this prediction they used raw dataset provided by the water utility consists of records of over 500,000 water pipes, adding up to almost 6,000 kilometers in length. In here pipe break prediction task as a ranking problem, which tries to rank pipes according to their break risks, without estimating the true risks.                                                         ...

Scalable Graph Exploration and Visualization: Sensemaking Challenges and Opportunities Robert Pienta, James Abello, Minsuk Kahng, Duen Horng Chau - Georgia Institute of Technology { pientars, kahng, polo } @gatech.edu Rutgers University abello@dimacs.rutgers.edu       1. INTRODUCTION In many domains, data sets can be often represented as graphs or networks, as in online social networks, network traffic, intelligence analysis, and online auctions. In this survey, they have used the terms graph and network interchangeably. Today, making sense of large graphs remains a fundamental challenge, with few tools that allow users to interactively explore, visualize, and understand million-scale graphs. Graph sensemaking Graph sensemaking is a complex and abstract task. It refers to the iterative process of understanding and making sense out of data in graph format, where a user gradually builds u...

Web Scraping for Automated Water Quality Monitoring System: A case study of PDAM Surabaya Rizqi Putri Nourma Budiarti , Nanang Widyatmoko , Mochamad Hariadi and Mauridhi Hery Purnomo (Graduate Student of Electrical Engineering, Institute of Technology Sepuluh November, Surabaya, Indonesia, Department of Maintenance, PDAM Surabaya, Surabaya, Indonesia) In recent years, many researchers have developed about online water quality monitoring capability which can provide an early warning of water pollution events. Ensuring an appropriate and timely response is the best way in detecting contamination of drinking water supplies in real time.  In this research, the application is built by using Python programming and this system is divided into two stages. 1.      First stage:                Collecting data usi...

What is pH? pH, commonly used for water measurements, is a measure of acidity and alkalinity, or the caustic and base present in a given solution. It is generally expressed with a numeric scale ranging from 0-14. The value 7 represents neutrality. The numbers on the scale increase with increasing alkalinity, while the numbers on the scale decrease with increasing acidity. Each unit of change represents a tenfold change in acidity or alkalinity. The pH value is also equal to the negative logarithm of the hydrogen-ion concentration or hydrogen-ion activity. How to use a pH sensor with Arduino How it works PH is a measure of acidity or alkalinity of a solution, the pH scale ranges from 0 to 14. The pH indicates the concentration of hydrogen [H] + ions present in certain solutions. It can accurately be quantified by a sensor that measures the potential difference between two electrodes: a reference electrode (silver / silver chloride) and a glass electrode ...

What are the steps used in Machine Learning? There are 5 basic steps used to perform a machine learning task: Collecting data : Be it the raw data from excel, access, text files etc., this step (gathering past data) forms the foundation of the future learning. The better the variety, density and volume of relevant data, better the learning prospects for the machine becomes. Preparing the data : Any analytical process thrives on the quality of the data used. One needs to spend time determining the quality of data and then taking steps for fixing issues such as missing data and treatment of outliers. Exploratory analysis is perhaps one method to study the nuances of the data in details thereby burgeoning the nutritional content of the data. Training a model : This step involves choosing the appropriate algorithm and representation of data in the form of the model. The cleaned data is split into two parts – train and test (proportion depending on the p...