In recent years, machining with robots has become a trend in the manufacturing industry. The concept offers an economical solution for medium to low accuracy machining applications. However, due to the complexity of the robot kinematics, planning for these paths is challenging. Jabez Technologies has developed a semi-graphical approach that can program large robot-paths. This approach has been very well received by the industry and has proven to be extremely robust in practice. However, this approach is semi-automatic and cannot work without user input.
Poor data quality is a barrier to effective, high-quality decision-making based on data. Declarative data cleaning has emerged as an effective tool for both assessing and improving the quality of data. In this work, we will address some important challenges in applying declarative data cleaning to big data, challenges that arise due to the scale, complexity, and massive heterogeneity of such data. First, we will investigate the use of domain ontologies to enhance declarative data cleaning. Second, given the dynamic nature of big data, we will develop new continuous data cleaning methods.
Declarative programming techniques have been used to make programming available to common users through introducing query languages such as SQL and spreadsheet programs such as Excel. The proposed industrial partner, LogicBlox, has developed software that enables highly-complex data analysis through the flexible and familiar form of spreadsheet computing. The main goal of this proposal is to increase and automate adaptivity of LogicBlox platform, and to evaluate proposed methodology through applications in local industry.
This research project aims to prototype and evaluate a computer system supporting the creation of data-driven domain ontologies.
The first phase consists in creating a working prototype of a computer application supporting:
1) Preliminary research;
2) Creation of an interactive and visual computer interface allowing the visual concept mapping of a domain, its entities; define relationships between those entities and define attributes and parameters of those entities and relationships;
Following a stroke, the rehabilitation gains achieved in intensive therapy are often lost without sustained follow-up. The long-term objective of the project is to extend the reach of the health team (physicians, therapi sts, caregivers) following hospital discharge to continue therapy using mobile devices. As a first step, the objectives of the planned project are to:
1) develop clinically meaningful metrics related to the quantity and quality of everyday movement, speech, and sleep from body-worn sensor data,
2) to design and fabricate system prototypes for testing, and
Learning Systems are among the most popular e-learning tools in today’s education and training. Most e-Learning systems do not take into account individual aspects of learners (e.g., their goal, experiences, existing knowledge, learning style etc.).The primary goal of the proposed research is to offer rich adaptivity by combining information from a learner’s profile (e.g. levels, goals, learning style, cognitive abilities etc) with the information from other learners sharing common interests.
Millions of people post information on social media sites about their interests, preferences, opinions etc. on a daily basis. LeadSift mines this data stream in real-time to generate incredibly accurate and targeted sales leads. Given the short text and ambiguity around a social post, it gets very difficult to accurately identify intent. This project will explore different Natural Language Processing techniques to analyze the inherent semantic structure of social posts. Due the real-time nature of the social data, the algorithms need to be extremely efficient and scalable.
Operating Centre control rooms are large rooms where trained operators remotely supervise data centre equipment. Operators aim to maintain the connectivity and computer services modern society relies on. They provide services to their organizations or government or industry clients including forming and monitoring tactical teams that solve time-critical computing issues. Their daily activities include monitoring and responding to alerts, while simultaneously participating in multiple distributed teams where the role of the operator is to ensure progress towards a problem's resolution.
The demand for computing power has been rapidly growing over the last decade. The ability to efficiently utilize computing resources and improve the productivity of applications is necessary for the competitiveness of any industry and it will become more critical as the demand for computational resources increases. The computer hardware sector has seen rapid advances with the introduction of multicore and many-core processors and has introduced many challenges for the software development community to efficiently utilize the new architectures.