Data centers are being deployed worldwide. They provide the fundamental computing and communication resources for both business customers and regular consumers. Different from traditional data centers, today's data centers must have the capability to provide services to millions of users on a dynamic basis. New data centers are designed to deploy large number of commodity […]

While a significant number of tools have been developed to extract from web repositories information relevant to some search criteria, the unstructured nature of the returned information limits the ability to extract automatically concise and meaningful profiles. The purpose of this project is to develop anintelligent framework using case-based reasoning and semantic similarity to encode […]

The automation of wastewater treatment plants can lead to decreased energy usage and improved effluent quality. Current technology focuses on instrumentation and displays so that human operators can make decisions on the operating point of the plant, while relying on simple computer feedback controls to guide the plant. This research program aims at developing intelligent […]

This project aims to develop an optimal method of integrating Photovoltaic plants into Microgrid with Diesel generators. It is expected to achieve high quality, high efficiency, and low cost of power generation by the introduction of renewable power source and its control system. Although existing researches have provided quite a lot of references for this […]

Machine-to-machine (M2M) devices are defined as the equipments which do not require a direct human interaction for communicating to each other. M2M networks are predicted to have a large end-user market in the near future with numerous potential applications, such as home automation, patient monitoring, transportation, and smart metering. Currently, the main bottleneck is to […]

Developing subject-based social media requires proper interaction with the users by learning and analyzing their profile and dynamically incorporating their opinion. In this project, a crowd-based profiling of users with respect to their peers will be developed and confidence factor calculated based on the collective opinion of the crowd will be assigned to the individuals’ […]

As chronic pain affects a large portion of the population, caregivers cannot locate the optimum pain site, there is a demand for the development of a pain scanner device to provide accurate information regarding the areas of pain. During this internship, a Patient Response Module (PRM) used by the patient to provide information about the […]

The distributed energy management system that needs to be optimized represents a control and command center for a network of distributed resources, which may operate within an isolated or weakly interconnected micro-grid. The controller’s primary functions are to communicate with each distributed energy resource controller to determine the operating status of each distributed energy resources […]

In the modern world people want fast access to the right data at the right time. The facilitator of this data transmission and interconnection is the internet. People are sending and receiving data through their different devices. In this so called ubiquitous era service providers are moving from in shop servers to cloud environments and […]

Big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis, and visualization. In this internship, we analyze a real-world big data set(s) to make sensible inferences by […]

Computed Tomography (CT) is one of the most widespread non-invasive imaging modalities in medical diagnostics. Recent concerns regarding radiation induced cancer, has drawn a lot of attention to reduce the radiation dose used during CT scanning. However, the signal to noise ratio of scans taken at lower radiation dose is considerably lower than at higher […]

Long checkout lines at the grocery stores and wholesales are one of the biggest complaints about the shopping experience. Soon these lines could disappear when te ubiquitous universal product code barcode is replaced by smart labels, also called radio frequency identification (RFID) tags. RFID tags are intelligent barcodes that can talk to a networked system […]