The system is designed using ordinary cameras that work in the visible region of the electromagnetic spectrum. He was Professor and Head of the Department of Computer Science at Berhampur University till 2007. He joined as Head of the Department of Computer Science and Engineering in 2002 at VIT University, Vellore.
The driver adjusts the speed of the vehicle based on the objects he sees through the windshield. This is an important stage in detecting the vehicle license plate at the license plate location. Depending on the vehicle type, the windshield/window area is identified and this part of the image is used for further processing.
If the tint level exceeds government standards, the imaging system retrieves the vehicle's license plate. The proposed hue level detection system is designed using ordinary cameras operating in the visible region of the electromagnetic spectrum.
Semi-Supervised Learning with Genetic Algorithms and Rough Set Theory
In this experiment, we will focus on categorizing the data based on the person. Recall is calculated by the diagonal value for a column and the sum of the column. Lower bounds on the clusters will be useful when accuracy is an overwhelming criterion.
Based on the received error, the re-propagation phase starts with bias and weight updates to minimize the error received in the first phase. Based on the type of convolution function used in the process, the size of the output feature maps can be determined. In this, using the random filter is a good choice that is represented in the range of [−1 to +1].
B. Pankajavalli Bharathiar University
In the digital age, the rapidly growing Internet of Things (IoT) comes with great solutions for connectivity and communication between smart objects. Devices with sensing capabilities are in the form of smart objects, where wireless sensing in IoT is expected to play an important role. It supports the IEEE 802.11 protocol, which ensures the transfer of data throughput in the range of hundreds of megabits per second.
The data rate for ZigBee and 6LoWPAN is in the range of 250 kilobits per second. second. In the broad view, IoT requires customized security and many studies need to be done in the field of IoT security. The question is who should have control over the data that is surrounded by the environment.
To influence users to participate in IoT, an efficient privacy and protection mechanism must be established. Over the next decade, connecting 50 million devices to the Internet would require more spectrum than is currently available. The impact of IoT will create a mass environment surrounded by sensors, devices and objects in the coming years.
Current technology support is insufficient for near-future processing power and energy limitations. Although many efforts have been made to promote IoT technologies, Green IoT still faces many significant challenges in various aspects. The number of potential challenges, especially in standardization, interoperability, legal rights, protection and privacy, must be solved for the benefit of people, society and the economy.
Evas, D., The Internet of Things, how the next evolution of the Internet is changing everything, Cisco IBSG, San Jose, CA, 2011.
K.Tripathy VIT University
This is analogous to the fact that increasing the availability of processing power will be accompanied by a reduction in visibility (Weiser 1991; Strategy 2005). a) The social network, (b) Decentralized social network of communities, and (c) Social network of department of health promotion. In the SIoT server, the network layer consists of various types of communication channels associated with the SIoT. The base sublayer of application layer includes the database for storing and managing the data and the relevant descriptors. Information privacy was defined by Westin (1968) as "the right to choose what personal information about me is known to which people." Westin's definition, although referring to non-electronic environments, is still valid and general to enable the discussions about privacy in the IoT.
The Internet of Things How the Next Evolution of the Internet Is Changing Everything, white paper, pp. SPROUT: P2P routing with social networks, In The Proceedings of the EDBT 2004 Workshops, LNCS 3268, Springer, March 14, pp. In this chapter , we are interested in investigating the integration of the soft biometric features, gender and age group, with the existing keystroke dynamics user authentication systems proposed by [1-3].
Basically, this study is one approach to identify the gender and age of internet users. Some researchers have worked on optimization techniques and aimed to improve the user authentication performance under keystroke dynamics. Keystroke dynamics characteristics are Key Duration (KD) Key Delay, Up Up Key Delay (UU), Down Down Key Delay (DD), Up Down Key Delay (UD), Down Up Key Delay (DU), Total Time ( T_Time Key Latency, Three-graph Time (T) and Four-graph Time (F).
According to the results obtained in Tables 6.3 and 6.4, both the gender and age group of the users can be inferred from the typing pattern. Thus, this technique can be used to predict the gender and age group of Internet users, as shown in our experiment, since keystroke dynamics is a common measurable distance-based activity to monitor Internet usage via keyboard/touch screen . This module will also segregate the data based on the IoT devices and their owner.
The concept and idea of IoNT was proposed and presented by Akyildiz and Jornet (2010). For example, nano things will be uncontrollable most of the time, so they can face physical attacks. The digital forensic investigation process of the Internet of Nano Things is called “IoNT Forensics”. IoNT presents a major challenge to digital investigators and examiners in collecting and extracting digital evidence as admissible evidence of a crime committed in an IoNT environment.
Anuradha and S. Vandhana VIT University
According to Manyika et al. 2013) in Global Institute report, IoT is one of the 12 technologies that can bring major economic transformations and have a massive impact on life, business and the global economy in the coming years. Mostly the sensors are portable; however, this may affect the convenience of the customers. It is centered on building a behavioral profile of the customer and observing if there are deviations from the model.
The following figures describe some of the wearable devices used to assist and monitor the elderly. When the mass of the light supply is lost, it indicates the movement of the person in the bed. To extract intelligence from data, some of the machine learning techniques or analytics are performed on the basis of which rational decisions can be made.
Feedback on the decision is considered by caregivers or doctors, based on which further actions will be taken. The server sends an emergency message to the hospital with patient details. Wireless communication technologies have evolved to a greater extent to meet the requirements of AAL applications.
The architecture in Figure 8.11 consists of data acquisition, model to understand the state of the person at any time and the handling of timely activity to make decisions. Another report by IMS Research - the research partner of wearable technologies - states that the wearable devices work in close proximity to the human body and produce more realistic results. Furthermore, as the widespread adoption of IoT grows, many of the inefficiencies in healthcare will be reduced.
These three entities are responsible for the adequacy of the data – if they have captured the right things.
Data Provisioning
Data Analysis
Many healthcare systems choose to implement one of three types of analytics solutions. They also don't provide much insight beyond the specific area of interest. Probabilistic models, neural networks and fuzzy models are some of the techniques applied for activity recognition.
For example, after, before, meet, overlapped, started by, ended and during are some of the temporal relations. The assumptions about the reliability of the components are based on (i) the reliability of the performed services, where the execution time of the invocation is not considered a factor, (ii) transition state, which depends on the source state and the available transition and its transfer of control between the components is estimated through Markov Chain property, and (iii) errors in the transition. Thus, the behavior of the gates (the edges of the communication point) determines the interaction pattern in timed messages sent to the environment.
An interview-based investigation by Demiris et al also showed that the elderly were concerned about privacy invasion, visibility and accuracy of the assistance systems. People spend most of the time in the digital world and are connected by it. Analysis performed on the acquired data will support decision-making in the critical situation or in the absence of the caretaker.
However, the supremacy of the AAL rests on the above points, still the design of the device reflects an impression of comfort for the end user. In Proceedings of the International Conference on Advanced Information Networking and Applications Workshops, IEEE Computer Society, Washington, DC, pp. In Proceedings of 3rd Human—Computer Interaction and Usability Engineering of the Austrian Computer Society Conference HCI and Usability for Medicine and Health Care, pp. 2012), Reliability Analysis in the Environmentally Assisted Living Domain:.
One of the main problems with existing methods is the lack of a real standard in the NAPS server as a middleware [1] that is interoperable with heterogeneous platforms [2].
