Aquila

Kansas City, MO, United States
Kansas City, MO, United States
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Grant
Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: NMP.2013.1.2-1 | Award Amount: 4.54M | Year: 2013

GOALS: The current state-of-the-art for autonomous environmental instruments monitoring the chemical and biological status of our water is based on flow systems that employ conventional approaches to sample/liquid handling, which makes them prohibitively expensive (often >20K per unit) in terms of up-scaling deployments. This project will investigate ways to deliver revolutionary advances in liquid/sample handling combined with new approaches to performing sensitive in-situ analytical measurements. Our goal is to drive down the unit cost of these instruments by orders of magnitude to levels that can create a tipping point, at which the technology becomes ubiquitous. OUTCOMES: Novel technologies that will contribute significantly to the realization of next generation autonomous analytical instruments for distributed environmental monitoring. New services based on the information generated by these instruments in real deployment scenarios. Photoactuated polymer valve structures fully integrated within microfluidic channels Highly sensitive detector integrated with microfluidics sample preparation Photocontrolled functions such as filtering, preconcentration, uptake and release, surface activation/passivation Prototype components will be integrated with existing autonomous sensing devices, and after lab based trials deployed at wastewater treatment plants and in the general environment. This strategy will enable risk to be managed by testing the novel biomimetic fluid handling components with existing detectors (e.g. colorimetric methods for nutrients). In a similar manner, a novel E coli sensor will be assessed using validated fluid handling technologies in the existing devices. This strategy will allow the biomimetic fluid handling and advanced detector elements of the research programme to advance independently, or collaboratively, depending on progress.


Grant
Agency: European Commission | Branch: FP7 | Program: MC-IAPP | Phase: FP7-PEOPLE-2011-IAPP | Award Amount: 1.71M | Year: 2011

WSN4QoL aims at bringing together experts, from industry and academia, with the long-term goal of designing and developing a more efficient pervasive healthcare system in the interest of the society. WSN4QoL wishes to achieve this objective by enhancing and promoting the industry-academia cooperation, as well as by creating a long-term cooperation program among industrial and academic partners in the area of advanced Wireless Sensor Network (WSN) technologies for pervasive healthcare applications. WSN4QoL aims at providing new cooperative protocols, Network Coding (NC) for multi-hop/cooperative diversity, and distributed localization algorithms are developed to meet the specific requirements of WSNs-enabled healthcare applications, and to overcome the limitations of existing services and products. The proposed solutions are developed by taking into account the specific requirements of pervasive healthcare e.g. energy-efficiency, low-latency, data reliability, context-awareness, and security. Furthermore, WSN4QoL aims at providing a proof-of-concept of the proposed solutions through the realization of experiments with real healthcare devices. WSN4QoL achieves these objectives via the fruitful collaboration of three partners, one from academia, i.e., UPC, one SME, i.e., VIDAVO, and a Spin-Off of the University of LAquila(Italy), i.e., WEST. As a whole, the partners have consolidated and complementary expertise in the analysis, design, and experimentation of WSNs and their application to pervasive healthcare. Finally, we mention that this is the re-submission of a project submitted in 2009. This new proposal has been significantly re-shaped and updated by taking into account the suggestions of the evaluators. We have significantly improved its organization, with main emphasis on ToK, secondments, and implementation activities. On the scientific side, new research topics have been added to update the project with current state-of-the-art needs for pervasive healthcare.


Grant
Agency: European Commission | Branch: FP7 | Program: MC-IAPP | Phase: FP7-PEOPLE-2013-IAPP | Award Amount: 2.64M | Year: 2014

Smart energy networks (SENs) are electric systems that use two-way networking technologies, cyber-secure communications technologies, and computational intelligence and control in an integrated fashion to efficiently manage energy consumption with the aim of providing a new electricity grid that is clean, safe, secure, reliable, resilient, efficient, and environmentally sustainable. SENs can be well regarded as a system of many systems, whose design challenges, requirements, and expectations can only be achieved through a holistic analysis, design, and optimization of all its components. In SMART-NRG, we will go beyond state-of-the-art approaches for SENs by introducing an innovative and integrated protocol stack, which will be made of three interlinked and optimized sub-systems: i) reliable communications and networking; ii) smart energy management; and iii) security and protection, which are one-to-one connected to the three key functionalities of SENs. The sub-systems will be studied, optimized, and integrated in a very efficient protocol stack, which will be tested via system level simulations and hardware testbeds, and, eventually, will be integrated into commercial devices. According to this view, the project has four main scientific objectives: 1. The proposal of a new protocol stack and network architecture for SENs integrating communications, energy management, and security protocols, along with their analysis, design, and optimization for smart metering applications. 2. The analysis, the design, and the optimization of an efficient and reliable two-way smart meter communication infrastructure by embracing a stochastic network modeling framework. 3. The analysis, the design, and the optimization of advanced smart energy management algorithms for better energy utilization. 4. The analysis, the design, and the optimization of advanced security and privacy mechanisms for large-scale networks with reduced management and control overhead.


Grant
Agency: European Commission | Branch: FP7 | Program: MC-ITN | Phase: FP7-PEOPLE-2010-ITN | Award Amount: 4.23M | Year: 2011

Current 4G vision envisages higher data rates and multi standard radio interfaces to provide all users with a continuous seamless connection. The large number of foreseen devices coupled with the surge in power requirements for future emerging handsets raises significant challenges in terms of: i) reducing the energy consumption; and ii) reducing the amount of electromagnetic radiations. GREENET targets the following main objectives: 1. Recruitment of ESRs with the clear and long-term objective to conduct top-notch research and to pursue research excellence at the national, European, and international levels. 2. Develop training and career plans that are personalized as possible to meet the needs and desires of each ESR. 3. To allow the ESRs to understand and address key research challenges on energy efficient GREENET communications, that form pivotal societal and economic concerns for Europe within the mid-to-long term. 4. Offer to each ESR top-level training and research programs with the twofold objective to reinforce and corroborate their own background, as well as to complement this with active participation in a multi-disciplinary network of research scientists. 5. Complement the typical competences of applied research with aspects related to project management, intellectual property rights, writing of patents, presentation and communication skills, writing of technical papers, exploitation of technical results and creation of start-up companies, etc. 6. Guide and help the ESRs to build the bridge from academia to a remarkable and untactful professional career in either the private or public sectors.


Grant
Agency: European Commission | Branch: H2020 | Program: MSCA-RISE | Phase: MSCA-RISE-2014 | Award Amount: 1.08M | Year: 2016

The current paradigm in service provisioning to future communication networks lacks thorough end-to-end interpretation from the quality viewpoint, while the end-users/customers profiles and preferences are mostly not taken into account. The subjective perception of a provided service, known as Quality of Experience (QoE), is one of the most important factors for a users decision on retaining the service or giving it up, and the key parameter for enabling advanced customer experience management (CEM). The main objective of CASPER is to combine academic and industrial forces towards leveraging the expected benefits of QoE exploitation in future networks. In particular, CASPER will exploit the most recent approaches in communication networks, such as the Software Defined Networking (SDN) and the Network Functions Virtualisation (NFV), to design and implement a middleware architecture for QoE-driven service provisioning. The architecture will consist of three interlinked modules, one-to-one mapped to the three instrumental functionalities required for the beneficial exploitation of QoE: i) reliable, secure and passive QoE monitoring, ii) efficient, dynamic and objective QoE estimation, and iii) robust and real-time QoE-driven service management. The three modules will be optimised and released as an integrated solution, in order to accelerate the adoption of QoE-driven network service management. The cornerstone of this effort will be a carefully-planned inter-sectorial secondment programme for Experienced Researchers (ERs) and Early Stage Researchers (ESRs). Under this programme, CASPER is expected to foster the exchange of knowledge and strengthen the collaboration among academia and industry through a bidirectional knowledge-sharing approach, where the academic beneficiaries will contribute by conveying their knowledge in QoE analysis and modelling, while industrial beneficiaries will provide their expertise in service development and software implementation.


Grant
Agency: European Commission | Branch: H2020 | Program: MSCA-RISE | Phase: MSCA-RISE-2015 | Award Amount: 346.50K | Year: 2016

Endometriosis (the presence of endometrial-like tissue or lesions outside the uterus) is a chronic inflammatory disease affecting 6-10% of reproductive age women. It is associated with pelvic pain, painful periods, pain with sexual intercourse, and subfertility. The socioeconomic impacts of endometriosis are considerable. The recent WERF EndoCost study (a worldwide cost-of-illness study) reported that endometriosis reduced work productivity in 51% and negatively affected relationships in 50% of women with endometriosis. Current treatment options include invasive and repeated surgeries, or hormonal suppression with significant side effects analogous to a premature menopause. While several general concepts of the etiology of the disease such as retrograde menstruation, coelomic metaplasia, lymphovascular metastasis or the embryonic rest theory have been developed, the molecular mechanisms underlying the disease are currently still incompletely understood, hampering the development of efficient targeted therapies with limited side effects. MOMENDO utilizes the potential of an interdisciplinary consortium of leading world endometriosis experts to provide a deeper understanding of key molecular processes contributing to disease etiology and progression. By employing a wide range of experimental methods (biomarker and epigenetic studies on patient tissues, advanced animal models of the disease, proprietary atomic force microscopy for marker-free diagnostics) and novel and innovative conceptual approaches (adult stem cells, microRNAs, iron-induced inflammatory responses, novel endocrine concepts), MOMENDO will substantially contribute to a deeper understanding of the molecular mechanisms that explain the inflammatory pain associated with endometriosis and the persistent growth of endometriosis lesions. By combining the respective strengths of non-academic and clinical partners, MOMENDO expect to successfully translate these findings into novel therapeutic approaches.


Patent
Aquila | Date: 2016-03-01

Intelligent notification methods and systems configured for receiving and processing any suitable input message, determining whether or not an output notification should be sent and for sending such output notifications with the appropriate information to the appropriate parties according to predetermined business rules are disclosed. Particular methods for performing intelligent notification are described by example.


Patent
Aquila | Date: 2014-01-15

An intelligent notification system configured for receiving and processing any suitable input message, determining whether or not an output notification should be sent and for sending such output notifications with the appropriate information to the appropriate parties according to predetermined business rules.


Patent
Aquila | Date: 2013-05-15

A system and method provides updated personnel count information for offshore locations for daily use and use during emergencies that is coordinated with a cloud database. The system allows persons not at an offshore rig or installation to monitor the presence, excuse, or absence of personnel at fixed mustering stations and moveable mustering stations such as lifeboats and the launch status of particular lifeboats. The system provides simplified touch screen information that is intuitively available to obtain user profiles for persons missing, present and excused from being present at mustering stations as well as participation in drills or emergency situations.


Grant
Agency: GTR | Branch: Innovate UK | Program: | Phase: Innovation Voucher | Award Amount: 5.00K | Year: 2015

At Aquila Insight Limited we are concerned that our current information security, controls and process could be improved to protect our client and business data from cyber attacks. We appreciate that cyber security is an ongoing challenge but strongly believe if our application is successful that it will change the way our business operates for the foreseeable future

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