Quiz On "Internet Of Things" By IEEE Jit Sb

Big Data is closely associated with the Internet of Things (IoT) because IoT devices generate a massive amount of data. These devices continuously collect and transmit data from various sources, such as sensors, cameras, and other connected devices. This data is then processed and analyzed to extract valuable insights and make informed decisions. The sheer volume, velocity, and variety of data generated by IoT devices make it a prime example of Big Data. Therefore, the statement "Big Data associated with IoT" is true.

Hadoop is a widely used open-source framework for processing and storing large sets of data. It is specifically designed to handle big data, which refers to extremely large and complex data sets that cannot be easily managed with traditional data processing tools. Hadoop provides a scalable and distributed computing environment that allows for efficient processing and analysis of big data. Therefore, the correct answer is Big Data.

IoT (Internet of Things) is based on wireless technology method. This means that devices and objects in IoT are connected and communicate with each other using wireless networks, such as Wi-Fi, Bluetooth, or cellular networks. This allows for seamless and convenient connectivity between various devices, enabling them to share data and perform tasks without the need for physical wired connections. Wireless technology is crucial for the widespread adoption and success of IoT, as it enables flexibility, scalability, and mobility in connecting and controlling a wide range of smart devices and systems.

Hacking is indeed concerned with IoT. IoT devices are connected to the internet and can be vulnerable to hacking if proper security measures are not in place. Hackers can exploit weaknesses in IoT devices to gain unauthorized access, steal data, or even control the devices remotely. Therefore, it is crucial to prioritize cybersecurity and implement strong measures to protect IoT devices from hacking attempts.

ATMs were the first end-user IoT objects because they were one of the earliest devices to connect to the internet and provide services to users. ATMs use internet connectivity to allow users to access their bank accounts, withdraw cash, and perform various banking transactions. This makes them a prime example of IoT objects as they connect to the internet and provide services to end-users. Laptops, smartphones, and smart TVs, although they are also connected to the internet, came into existence after ATMs and are not specifically designed for end-user services like ATMs.

To ensure operating systems and devices within the Internet of Things are compatible, groups like IEEE are developing standards. Standards serve as guidelines and protocols that define how different devices and systems should communicate and interact with each other. By establishing common standards, it becomes easier for devices from different manufacturers to work together seamlessly, promoting interoperability and enhancing the overall functionality and usability of IoT devices and systems.

Enterprise IT could potentially have to manage all the above mentioned types of IoT devices. Smartphones, cars, and refrigerators are all examples of IoT devices that are commonly used in various enterprise settings. These devices are connected to the internet and can collect and transmit data, requiring management and security measures by enterprise IT teams. Therefore, it is important for enterprise IT to be prepared to handle and manage these diverse types of IoT devices.

The name Internet of Things (IoT) was coined in 1999.

A major roadblock to the spread of IoT devices in the enterprise could be all of the above options. The staff size can be a challenge as it may require additional training and resources to manage a large number of IoT devices. Security is another concern as IoT devices can be vulnerable to cyber attacks, potentially compromising sensitive data. Additionally, network size can be an obstacle as it may require significant upgrades and infrastructure to support a large number of connected devices. Therefore, all of these factors can hinder the widespread adoption of IoT devices in the enterprise.

Wi-Fi is the most likely wireless technology to emerge as the power behind IoT networking because it offers high data transfer rates, long range connectivity, and widespread compatibility. Wi-Fi is already widely used in homes, offices, and public spaces, making it a convenient and accessible option for IoT devices. Additionally, Wi-Fi has a large ecosystem of devices and infrastructure, providing a strong foundation for IoT networking.

R is not the most widely used language for Big Data. The correct answer is Java. Java is a popular programming language that is widely used for Big Data processing and analysis. It is known for its scalability, performance, and extensive library support, making it a preferred choice for handling large datasets and complex analytics tasks. R, on the other hand, is a statistical programming language that is commonly used for data analysis and visualization, but it is not as widely adopted for Big Data applications as Java.

Time series data refers to a sequence of data points collected over a specific period of time, where each data point is associated with a timestamp. It is used to analyze and understand patterns, trends, and behaviors over time. In the context of IoT, devices and sensors generate massive amounts of data with timestamps, providing valuable insights into the behavior and performance of various systems and processes. Therefore, time series data is based on timestamps rather than SQL commands, computer time, or language.

Connected vehicles refer to vehicles that are equipped with internet connectivity and can communicate with each other and the surrounding infrastructure. This technology allows for various features such as real-time traffic updates, remote diagnostics, and enhanced safety measures. Therefore, connected vehicles fall under the category of the "Connected car" project.

Automation in the automobile industry does not necessarily decline sales. In fact, automation can lead to increased efficiency, improved productivity, and cost savings in the manufacturing process, which can ultimately benefit sales. Additionally, automation can also result in the development of advanced features and technologies in automobiles, making them more attractive to consumers and potentially boosting sales. Therefore, the statement "No" implies that automation does not decline sales in the automobile industry.

A motor is an example of an actuator because it is a device that converts electrical energy into mechanical energy. It is used to control or move a mechanism or system. Motors are commonly found in various applications such as vehicles, industrial machinery, and household appliances. They play a crucial role in converting electrical signals into physical movement, making them an essential component of many automated systems.

According to The Internet of Things Global Standards, an IoT device must have 7 key features.

According to the given answer, there will be 50 billion connected devices in 2020. This suggests that the number of devices connected to the internet will significantly increase by that time. This exponential growth in connected devices can be attributed to the rapid advancement of technology and the increasing demand for smart devices in various industries such as healthcare, transportation, and home automation. The widespread adoption of Internet of Things (IoT) technology also contributes to the increasing number of connected devices.

Self-driving cars are expected to generate approximately 2 PB (petabytes) of data. This is because self-driving cars rely on a variety of sensors and cameras to collect and process information about their surroundings, including road conditions, obstacles, and other vehicles. This data is then used by the car's AI system to make real-time decisions and navigate safely. Given the complexity and high-resolution nature of this data, it is estimated that self-driving cars will generate a significant amount of data, reaching up to 2 PB.

AllJoyn is the correct answer because it is an open-source software framework that enables devices to communicate and interact with each other regardless of their operating system or brand. It is developed and maintained by the AllSeen Alliance, which is a group of 20 world technology leaders. The purpose of this alliance is to establish standards and protocols for device communication, making it easier for different devices to connect and work together seamlessly.

The words "personalised" and "instant" suggest that these are new expectations of challenges. This implies that people now expect challenges to be tailored to their individual needs and preferences, and they also expect them to be delivered quickly and immediately. This could mean that individuals want challenges that are specifically designed for them and their unique circumstances, and they want them to be accessible and available in real-time.

The Internet of Things market value in 2020 is estimated to be worth 15 million dollars.

IoT data differs from other Big Data in terms of its date not being based on time series. This means that the data collected in IoT does not necessarily follow a sequential or chronological order. Unlike other types of Big Data, where time series analysis is often used to analyze and understand patterns over time, IoT data may not exhibit such time-dependent characteristics. This distinction highlights the unique nature of IoT data and the need for different analytical approaches to derive insights from it.

The Internet of Things (IoT) is a network of interconnected devices that collect and exchange data. One of the concerns of the IoT is efficiency, as it is important to ensure that devices and systems are operating optimally. Privacy concerns are also a major concern, as the IoT involves the collection and processing of personal data. Cybersecurity is another concern, as the IoT increases the potential for cyber attacks. However, data storage standards are not typically considered a concern of the IoT, as there are already established standards and protocols for storing and managing data.

The wearable device market grew by 225% in 2015. This means that the market more than doubled in size compared to the previous year. The significant growth indicates a high demand for wearable devices such as smartwatches, fitness trackers, and other wearable technology. This growth could be attributed to advancements in technology, increased consumer interest in health and fitness tracking, and the introduction of new and innovative wearable devices in the market.

The given question asks which IoT business model is not currently publicly available. Among the options provided, IoT Refrigerators is the correct answer because there are already publicly available IoT business models for utility meters, electric meters, and cleaners. However, IoT Refrigerators as a specific business model is not currently publicly available.