Chintan Bhatt

Internet of Things and Big Data Technologies for Next Generation Healthcare

This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics. Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.

Internet of Things in HealthCare

The next era will be the connection between the physical things and internet. The things include goods, machine, appliances even we also become the part of it. The reason for integrating healthcare with Internet of Things features into medical devices improves the quality and effectiveness of service, bringing especially high value for elderly, patients with chronic conditions and those that require consistent supervision. Now research is going on-how to transform healthcare industry by increasing efficiency, lowering costs and put the focus back on better patient care. The Internet of Things will be a game changer for the healthcare industry. With an intelligent system and powerful algorithms, one can obtain an unprecedented level of real-time, life-critical data which is captured and analyzed to drive people in advance research, management and critical care. Taking care of patient’s health at very low cost is an important factor. The main idea of applying IoT in healthcare is move out from traditional area to visit hospitals and thus waiting will come to an end. The concept here is that it can be able to sense, process and communicate with biomedical and physical parameters so that they can work on it. Many applications and devices have been designed for healthcare purpose and have been put for people to use. The view is to connect the doctors, patients and nurses via smart device and each entity can roam without any restrictions. The idea is 24 * 7 monitoring of patient.

Internet of Things (IoT): In a Way of Smart World

Internet of things-“IoT” is an interconnection of exclusively identifiable embedded computing devices where all devices are made equipped with communication and data capture capabilities so that they can use the ubiquitous internet to transmit or exchange data and other controlling purposes. IoT is expected to bring a huge leap in the field of global interconnectivity of networks. Here we are going to draw an attention on the topics which have attracted the researchers and industrialists such as remote excavation, remote mining, etc.

Internet of Things Driven Connected Healthcare

The Internet of Things (IoT) is a physical device along with other items network that embedded with software, electronics, network connectivity, and sensors to collect objects in order to exchange data. The IoT impact in healthcare is still in its initial development phases. The IoT system has several layers that lead to implementation challenges where many engaged devices have sensors to collect data. Each has its manufacturer own exclusive protocols. These protocols using software environment associated with privacy and security raise new challenges in the IoT technology. This current chapter attempts to understand and review the IoT concept and healthcare applications to realize superior healthcare with affordable costs. The chapter included in brief the IoT functionality and its association with the sensing and wireless techniques to implement the required healthcare applications.

A Survey of Open Source Protocols XMPP and SIP for Instant Messaging System

The instant messaging system is an application based system used for communication using the internet service, in real time. Its use and popularity is increasing day by day. Many services and applications have been developed for real time communication so far, among them XMPP and SIP are the widely used. The key functionalities of instant messaging system are presence, session management and transfer of data which can be fulfilled using the open source protocols like XMPP, SIP and RTP. Furthermore, a comparison between XMPP and SIP is provided based on a number of criteria.

Indian Sign Language Translator Using Kinect

Though Indian sign language (ISL) translation remained under examination for numerous years, still it is very difficult to implement in real-time systems. The background and brightness disturb the skeleton tracing and make the ISL translation very hard. Microsoft Kinect Xbox 360 is capable of giving in-depth vision image and color vision image of everything in front of it, created on which the skeleton body action can be tracked more precise and easier to get depth coordinate of the skeleton. So that nearest matrix matching algorithm of each ISL word is coordinated and matched among input data to get the result.

Enhancement of jobshop scheduling problem using search optimization

Jobshop scheduling is a most difficult problem, both theoretically and practically. It is classified as NP-Hard Problem. Nature Inspired (or bio-inspired) Algorithms is a new age in layering spacious series of applications and solution to different optimization problems. These algorithms are known as clever algorithms. Job shop scheduling is a problem of constrained optimization and it is most universal and complex problem among all shop scheduling problems Nature inspired algorithms and approximation algorithms seem to be very effective in giving near optimal solutions to such complex problems. In this paper, the concept of the cuckoo search (CS) algorithm (metaheuristic approach to solve structural optimization problems) is elaborated and estimate the approach that cuckoo search optimization algorithm can perform more efficiently. This paper is also trying to give the better approach of reducing makespan of jobshop benchmark problems.

Home Automation Using IoT

The main agenda of IoT is to enable us monitoring and controlling physical environment by collecting, processing and analysing the data generated by smart objects, which is an advancement of automation technologies, making our life simpler and easier. Nowadays Internet of Medical Things also became popular in which medical devices are connected and provides integration for taking care of patients and other aspects related to healthcare. Before the technologies like microcontrollers and smart phones are introduced, establishing home automation was a real burden with interference of electricians, installer and monthly maintenance costing. IoT is providing us home automation system using smart devices to get over this hindrance, which allows us to easily control the home appliances. The presented chapter introduces the home automation system using BASCOM, which also includes the components, flow of communication, implementation and limitations.

Framework of Temporal Data Stream Mining by Using Incrementally Optimized Very Fast Decision Forest

Incrementally Optimized Very Fast Decision Tree (iOVFDT) is a new data stream mining model that optimizes a balance of compact tree size and prediction accuracy. The iOVFDT was developed into open source on Massive Online Analysis as a prior art. In this book chapter, we review related techniques and extend iOVFDT into iOVFDF (‘F’ for forest of Trees) for temporal data stream mining. A framework for follow-up research is reported in this article. A major issue to the current temporal data mining algorithms is due to the inherent limitation of batch learning. But in real-life, the hidden concepts of data streams may change rapidly, and the data may amount to infinity. In the big data era, incremental learning is attractive since it does not require processing the full volume of dataset. Under this framework we propose to research and develop a new breed of temporal data stream algorithms—iOVFDF. We integrate for a “meta-classifier” called iOVFD Forest over a collection of iOVFDT classifiers. The new iOVFD Forest can incrementally learn temporal associations across multiple time-series in real-time, while each underlying individual iOVFDTree learns and recognizes sub-sequence patterns dynamically.

IoT Gateway for Smart Devices

In the world, the revolution of any industry is to connect their product and appliances to the Internet and make it autonomous and remotely connected so any one can operate and watch it from anywhere at any-time. This idea is known as industrial Internet of things (IIoTs). For achieving this goal very first and compulsory needed thing is connectivity. For any IIoTs enabled world the most frequency model architecture is build once in a world and that connectivity is one time disruption which requires new technology to interrupt the old one and manage it with new features. For this challenging task we try to develop the small but open for all system as a part of IIoT for the world. In this we are using the devices which is already define in open standard unified point of sale devices (UPoS) in which they included all physical devices like sensors printer and scanner. Firstly use the method and device defined by the UPoS system for the particular device. Connect that device to the server and lastly connect with it to the cloud. This flow will help us for connecting different branches of the company ubiquitously. By this you can connect remote device anytime anywhere with the right access. To the beneficial this will help us in decision making to the administration of the industry for the industry growth. Furthermore it will connect the one common employee to the chairman of the industry.