Data Mining Practical Machine Learning Tools and Techniques

Knowledge Discovery in Databases.

Water management is paramount in countries with water scarcity. This also affects agriculture, as a large amount of water is dedicated to that use. The possible consequences of global warming lead to the consideration of creating water adaptation measures to ensure the availability of water for food production and consumption. Thus, studies aimed at saving water usage in the irrigation process have increased over the years. Typical commercial sensors for agriculture irrigation systems are very expensive, making it impossible for smaller farmers to implement this type of system. However, manufacturers are currently offering low-cost sensors that can be connected to nodes to implement affordable systems for irrigation management and agriculture monitoring. Due to the recent advances in IoT and WSN technologies that can be applied in the development of these systems, we present a survey aimed at summarizing the current state of the art regarding smart irrigation systems. We determine the parameters that are monitored in irrigation systems regarding water quantity and quality, soil characteristics and weather conditions. We provide an overview of the most utilized nodes and wireless technologies. Lastly, we will discuss the challenges and the best practices for the implementation of sensor-based irrigation systems.

https://www.mdpi.com/1424-8220/20/4/1042/pdf

IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture

The development of walking assistants for visually impaired people has become a prominent research area due to the rapid growth of these individuals in recent decades. Although numerous frameworks have been developed to aid visually impaired people, a considerable portion of these is limited in their scopes. In this review, we exhibit a similar review of walking assistants for visually impaired people to demonstrate the advancement of such technologies. This review discusses the recent innovative technologies developed for the visually impaired to aid them in walking with their merits and demerits. With the help of this review, a schema is drawn for upcoming development in the field of sensors, computer vision, and smartphone-based walking assistants. This review aims to present the majority of the issues of such frameworks to serve as a basis for different researchers to develop walking assistants that ensure movability and safety of visually impaired people.

Developing Walking Assistants for Visually Impaired People: A Review

It is essential to increase the productivity of agricultural and farming processes to improve yields and cost-effectiveness with new technology such as the Internet of Things (IoT). In particular, IoT can make agricultural and farming industry processes more efficient by reducing human intervention through automation. In this study, the aim to analyze recently developed IoT applications in the agriculture and farming industries to provide an overview of sensor data collections, technologies, and sub-verticals such as water management and crop management. In this review, data is extracted from 60 peer-reviewed scientific publications (2016-2018) with a focus on IoT sub-verticals and sensor data collection for measurements to make accurate decisions. Our results from the reported studies show water management is the highest sub-vertical (28.08%) followed by crop management (14.60%) then smart farming (10.11%). From the data collection, livestock management and irrigation management resulted in the same percentage (5.61%). In regard to sensor data collection, the highest result was for the measurement of environmental temperature (24.87%) and environmental humidity (19.79%). There are also some other sensor data regarding soil moisture (15.73%) and soil pH (7.61%). Research indicates that of the technologies used in IoT application development, Wi-Fi is the most frequently used (30.27%) followed by mobile technology (21.10%). As per our review of the research, we can conclude that the agricultural sector (76.1%) is researched considerably more than compared to the farming sector (23.8%). This study should be used as a reference for members of the agricultural industry to improve and develop the use of IoT to enhance agricultural production efficiencies. This study also provides recommendations for future research to include IoT systems' scalability, heterogeneity aspects, IoT system architecture, data analysis methods, size or scale of the observed land or agricultural domain, IoT security and threat solutions/protocols, operational technology, data storage, cloud platform, and power supplies.

/pdf/adoption-of-the-internet-of-things-iot-in-agriculture-and-33r5m3x4nh.pdf

Adoption of the Internet of Things (IoT) in Agriculture and Smart Farming towards Urban Greening: A Review

An empirical study of supervised learning methods for breast cancer diseases

Performance enhancement of stepped basin solar still based on OSELM with traversal tree for higher energy adaptive control

In this paper, we are providing a home security for the theft by implementing smart surveillance system using RP and PIR sensor. Now-a-days, the IoT plays a major role in many fields by automating the application. The sensor used in this paper is PIR and temperature sensor. PIR is an electronic sensor that detects the motion of objects, by measuring the level of IR radiation. This principle is used to detect the stranger entering into the house. Temperature sensor and a camera are used to monitor and control the fire incident that takes place in a house. A sub motor setup with a solenoid value is used to spray chloroform. This action is done, which moves the stranger into unconscious state. The camera and PIR sensor are integrated in such a way that any movement in the room, switches ON the camera automatically. The house owner can view the live stream of motion that take place inside the house by the stranger. A mail and phone call services are included in the paper to alert the owner about the stranger action. The proposed work provides a smart home automation system for theft detection.

Theft Detection System using PIR Sensor

Attendance automation has become one of the most important needs in educational institutions and work places across the world, since it saves time and accurate too. Face recognition system needs least human cooperation and is viable too. The system automatically detects the student's entry in the class and marks attendance for the particular student periodically. The data collected can be used by the system further for attendance score calculation and other managerial decisions. Arduino is used to create and control the system that could automatically mark the attendance for the students. Thus the system reduces the manual collection of attendance and the time taken for report generation.

Attendance automation using face recognition biometric authentication

The word2vec model consists of more useful applications in different NLP tasks. The semantic meaning given by word2vec for each word in vector representations has served useful task in machine learning text classification. They are employed in finding analogy, syntactic, and semantic analysis of words. Word2vec falls in two flavors CBOW and Skip-Gram. Given a context, they used to predict a word and vice versa are also true. In order to optimize the efficiency of word2vec, they have introduced two computational techniques namely hierarchical softmax and negative sampling. The proposed research work is more focused on introducing the models, computational technique, and various fields of word2vec applications. Word2vec is compared based on the metrics and their performance is evaluated by comparing with other existing models.

S. Sivakumar

Papers

An empirical study of supervised learning methods for breast cancer diseases

Performance enhancement of stepped basin solar still based on OSELM with traversal tree for higher energy adaptive control

Theft Detection System using PIR Sensor

Attendance automation using face recognition biometric authentication

Review on Word2Vec Word Embedding Neural Net