Category Archive: 'M.Tech NS3 Projects'
With large data volumes being generated through Google search, Facebook, Twitter, Instagram, and the increasingly instrumented physical world (with embedded sensors), the authors discuss whether such data can be the basis of a new transactional relationship between people and companies in which both sides benefit from new products and services and increased economic growth. However, the […]
The introduction of ubiquitous systems, wearable computing and ‘Internet of Things’ technologies in our digital society results in a large-scale data generation. Environmental, home, and mobile sensors are only a few examples of the significant capabilities to collect massive data in real-time from a plethora of heterogeneous social environments. These capabilities provide us with a unique opportunity to understand […]
Driving is an integral part of our everyday lives, and the average driving time of people globally is increasing to 84 minutes everyday, which is a time when people are uniquely vulnerable. A number of research works have identified that mobile crowd sensing in vehicular social networks (VSNs) can be effectively used for many purposes and bring huge […]
Flash flood is a natural disaster that causes great losses; it happens mostly in rural areas. Heavy rainfall is gathered into the main river on watershed areas. Lots of water comes into the river. This causes a great volume of water flows down to the lower area of watershed. The great volume of water rapidly […]
The single greatest opportunity to improve health and reduce premature death lies in personal behavior. While technology-based behavior intervention has been around for many years, the emerging smartphone and wearable sensing technology brings great promise to push health behavior change further by inferring and predicting real-time behavior occurrence and its context. In this paper, we […]
The Internet of Things (IoT) has been widely used in the past few years. Exploiting sensors and objects to offer personal services is very common today. WoT extends IoT to HTTP level for object representation and message exchanges among users, devices and service providers through Web services. Due to the nature of WoT objects and instability of […]
In this paper, we investigate capacity scaling laws of wireless social networks under the social-based session formation. We model a wireless social network as a three-layered structure, consisting of the physical layer, social layer, and session layer; and we introduce a cross-layer distance & density-aware model, called the population-based formation model, under which: 1) for each node vk, the number of its friends/followers, denoted […]
There’s growing interest in developing applications for the Internet of Things. Such applications’ main objective is to integrate technology into people’s everyday lives, to be of service to them en masse. The form in which this integration is implemented, however, still leaves much room for improvement. Usually, the user must set parameters within the application. […]
This paper lays the ground work for assistive navigation using wearable sensors and social sensors to foster situational awareness for the blind. Our system acquires social media messages to gauge the relevant aspects of an event and to create alerts. We propose social semantics that captures the parameters required for querying and reasoning an event-of-interest, such as what, where, who, when, severity, and action […]
This paper proposes a method for seamless interaction between students and their professor using Twitter, one of the typical social network service (SNS) platforms, in large lectures. During the lecture, the professor poses surprise questions in the form of a quiz on an overhead screen at unexpected moments, and students submit their answers through a smartphone response system […]
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