Predictive Analysis Model

This paper gives a clear understanding on the current state of art on the IoT. The primary idea of the IoT concept is the pervasive existence around us of a wide range of things such as Radio-Frequency Identification (RFID) tags, actuators, sensors, mobile phones, etc. These are able to communicate with each other and collaborate with their neighbors to reach collective goals through distinctive addressing scheme.

While IoT devices holds much promise, there are still many security issues that need to be addressed. These security issues can have a significant impact on everyday life, such as causing damage, disruption to business operations, and in some cases even loss of life. Having all your devices interconnected using IoT such as lighting, thermostats, doors, and elevators, seems convenient but in fact this poses a great security risk. If these risks are exploited it could disrupt power or lighting which could lead to a loss of life if it were something like a hospital. Addressing these security risks will lead to more efficient and safer to use IoT devices but companies will have to identify them in their devices first (Tankard, 2015).

: Development and validation of a predictive model of acute glucose response to exercise in individuals with type 2 diabetes.

Internet of Things (IoT) are devices that can collect and share data with no human interactions. IoT are machines that connect to other machines. Examples of IoT’s are fitness trackers that report to a smart phone, smart vacuum cleaners that are self- propelled, and Apps for your smart phone that can adjust lighting, temperature or security features at your house when you are away.

With the way technology is speedily changing, analysts have made many predictions about how quickly we can expect things to continue to transform. Gartner, an international think tank, predicts that by 2020 there will be 21 billion connected devices throughout the world. Additionally, the IDC 's Digital Universe study predicts that during that same time the world 's data will grow to be ten times what it is now. This translates to an increase from 4.4 zettabytes (in 2014) to 44 zettabytes in 2020. The Internet of Things is going to contribute at least 10% of the drive behind this massive expansion in big data.

The sudden growth in IT investment is linked with the growth of IOT and therefore naturally an era of increased investment comes with increased business opportunities. The following section describes some of the applications of the internet of things and the opportunities in which they will bring.

The Internet of Things (IoT) is changing how most industries do business and promises a significant return on investment (ROI) in operational efficiency, improved customer experience, risk mitigation, and enabling entirely new business models. The sheer volume of new devices on the network driven by IoT will evolve the scale and range of deploying devices and managing data. Further, recent advances for employing Artificial Intelligence (AI) and Machine Learning (ML) within IoT are creating many new opportunities to enhance data analysis and better decision-making. Although the notion of computing based on sensor data from things was not born yesterday, the meteoric rise of IoT has recently become practical because of smaller, faster,

The Internet of Things (IoT) sometimes known as Internet of objects. Internet of Things later will change to Internet of Everything which includes education, communication, business, science, government, and humanity. The internet is one of the most important and powerful creations in human history (Evan, 2011). The high volumes of data generated by IoT and technologies for the similar environment can flawlessly integrate classical networks with network devices. In this paper, I am going to provide systematic details of data mining, analysis and outlier analysis. The new analytic application will be also consider after successful delivery of required result. This literature review also provides a different perspective of Research topic’s Journal. The objective of this literature review will be providing services to IoT based business. These services include it sustainable solution for the IoT security threat and issue. My literature will provide critical review by bringing up similar topic from different journals.

The use of IoT has already impacted the way cities operate. The term smart cities, is used to describe a city that possesses an IoT oriented infrastructure. “In a smart city, the digital technologies translate into better public services for inhabitants and better use of resources while reducing environmental impacts”. [3] For a smart city to be feasible, IoT must provide intelligence, interconnection, and instrumentation. Wi-Fi-enabled smart devices and low-cost sensors are components of the smart city and allow devices a way to communicate with the public via the internet. These devices collect real-time data, which not only improves the lives of residents, but transforms several sectors of public service as well. Transportation has been revolutionized by smart traffic management systems which gather data from an array of magnetic road sensors and hundreds of cameras. The result is less delay at major stop lights and increased travel speeds, because enabled drivers can see which lights are busy and monitor these areas for other vehicles and pedestrians. To lower traffic and driver search times for parking spots, parking sensors that detect parking-spaces for drivers are installed in major cities. Street lights use a method of energy saving known as adaptive lighting which enables them to determine their brightness setting, appropriate for a given situation. The smart city solution to conserving energy is through smart girds. A smart grid serves several energy management

The Internet of Things is a complex, innovative system rooted in the idea of connectivity. Individual artifacts that transmit data and information amongst each other ensure a smooth and coherent experience based off their ability to communicate through internet connection, sharing the same network to create incomparable efficiency and convenience. The Internet of Things is constantly developing to work in new areas and scenarios, further securing its essentiality in the domain of the technological future

Many of the IoT applications will include monitoring devices reporting on different aspects of the system being monitored. For instance, many buildings and offices include occupancy, and temperature sensors. Vehicles could be equipped with monitoring devices reporting on locations, fuel consumption, etc. However, current IoT applications are domain specific, with no wider vision for reusing the data generated by devices in other applications or sharing them with other users in other domains. The Internet of Things is lacking a well-defined architecture that could help create a competitive marketplace of applications and solutions without locking any users into using a monolithic stack from a single solution provider.

Internet of things enables embedded intelligence system and smart ways to present things then what they did before by increasing efficiency and reliability also presenting the optimized solutions in modern environment. Number of activities and applications on internet are commonly run by cloud computing. Cloud Computing provides a platform for developing, testing, deploying, maintaining n number of services for applications. Datacenters are considered as backbone of cloud computing. Datacenters are huge mass of data containing network of computers running on IP protocol suit, routers, switches, broadcast and monitoring equipments to transfer data between servers and outside world. For this datacenters need big amount of electricity, security and operational maintenance of applications on cloud. Datacenters are run by government agencies or various private companies such as The Amazon Web Services, Google App Engine and Microsoft’s Windows. People now-a-days only need fast data for

The Internet of Things (IoT) helps us sense meaningful data from the physical world. In recent years, its ability to sense the data has increased tremendously, which increases the prospects of IoT applications useful to humans. Machine learning will play a big part to help IoT derive sense from raw data and deliver useful information.

The concept of the internet of things abbreviated as IoT was introduced as early as the late 90’s by Kevin Ashton, the Executive Director of Auto-ID Labs and a professor at Massachusetts Institute of Technology. Now, “the Internet of things is already a disruptive technology capable of determining fundamental changes that are happening in everyday life, and it is considered the fourth industrial revolution.” (Hucanu) The Internet of Things (IoT)

Home Automation System (IoT) (UDP) Prabhat Murlidhar Dhake (140013116011) Parthsarthi Jayraj Raghavan (140013116005) Dr. Narendrasinh Chauhan (Head of Department) Information Technology A D Patel Institute of Technology Gujarat Technological University 2016/2017 Table of Contents I.