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Although many studies on deep neural networks for Advanced Driver Assistance Systems(ADAS) have been emerging, using deeper convolutional neural networks (CNNs) implemented on embedded boards or mobile platforms for the road object detection task is challenging. To deploy a deep CNN pipeline, constraints such as computing power, processing time, battery, and memory capacity need to be overcome. To...
Most of image processing algorithms such as filters are sequentially processed. So, data reusability should be considered to maximize processing efficiency. Because of its high performance and resource requirement, data refill by block based cache architecture has been proposed to maximize data reusability for a portable device image processing. However, if non-continuous data access happens, block...
The application scheduling is an important requirement in the cloud computing context. It allows to define the required resources to execute applications tasks following predefined criteria, for instance, maximum execution time, number of virtual machines, volume of data, among others. Selecting process to choose the most appropriate execution structure is driven by scheduling algorithms. This paper...
This presentation will discuss the open source OpenStack project named Watcher, which is Optimization as a service. This service uses OpenStack cloud platform as the backbone to provide server, storage and network level optimization to one's cloud infrastructure.
Flash Translation Layer (FTL) performs virtual-tophysical address translations and hides the erase-before-write characteristics of Flash. Pure page mapped FTL, which maintains page-level address mappings, is known as the most efficient FTL. However, its huge SRAM requirement to load the entire mapping table limited adoption of its use. In order to reduce SRAM space utilization while maintaining comparable...
In this article, we propose low complexity transmitter and receiver architectures for Faster Than Nyquist communications. Both architectures are based on circular convolutions rather than linear convolutions. These circular architectures allow us to consider a turbo-equalization scheme based on linear MMSE equalization. We can consider low-values for the time compression factor without increasing...
This paper gives a brief overview of the 11th Workshop on Trends in Enterprise Architecture Research (TEAR) held at EDOC 2016. The paper introduces the Workshop research topics and presents the accepted papers.
In this keynote talk we propose the use of a capability-driven approach to enterprise modeling in order to capture the intertwined relationship among design requirements and environment, as well as the interplay of requirements and design artifacts for the purpose of facilitating enterprise agility.
With the advancements of Internet-of-Things (IoT) and Machine-to-Machine Communications (M2M), the ability to generate massive amount of streaming data from sensory devices in distributed environment is inevitable. A common practice nowadays is to process these data in a high-performance computing infrastructure, such as cloud. Cloud platform has the ability to deploy Hadoop ecosystem on virtual clusters...
This paper describes the work involved in developing a script-based PBL environment in Moodle. PLATE-PBL is a Moodle plug-in based entirely on the meta-model of the PBL scripting language. The plug-in dynamically transforms lesson plans developed by a special visual script editor, it then interprets and instantiates equivalent lesson plans in the Moodle's runtime. Lesson plans can also be designed...
This paper presents the design of a fully programmable Mamdani Interval Type-2 Fuzzy Inference System (IT2 FIS) which can be used in a general-purpose Interval Type-2 Fuzzy Logic Controller (IT2 FLC). In the proposed design Type-2 fuzzy membership functions are obtained by combining two Type-1 fuzzy membership functions and it is realized based on Type-1 membership function circuits (T1 MFC). The...
This paper proposes a novel Delta redundant array of independent disks (RAID) technique that enhances small-write performance, resists disk failures of up to 75% in the RAID architecture. In order to generate parity data, three partial strips within a horizontal strip are used. To generate one parity element, Delta RAID requires access from two data disks, one parity disk. Delta RAID provides a fast...
Big Data technologies enable new possibilities to analyze historical data generated by process plants. One possible application is the development of new types of operator support systems (OSS), which could help plant operators during operations in identifying and dealing with critical situations. The project FEE has the objective to develop such support functions based on Big Data analytics of historical...
This paper presents SGAC(Solution de Gestion Automatisée du Consentement, automatised consent management solution), a new healthcare access control model and its support tool, that manages patient wishes regarding access to their electronic health record (EHR). The development of this model has been achieved in the scope of a project with the Sherbrooke University Hospital, and thus has been adapted...
In many aspects of human activity, there has been a continuous struggle between the forces of centralization and decentralization. Computing exhibits the same phenomenon; after having abandoned mainframes in favor of PCs, the last decade has witnessed an unparalleled centralization and consolidation of services in data centers and clouds. Yet, trust, privacy, security and autonomy concerns are requiring...
Workload manager is most relevant to improve the performance of High Performance Computing (HPC) Cluster. Aiming at the recent issues of workload management in the HPC cluster within data center is so complex that it causes the whole data center load imbalanced. This paper introduces an open source solution for middleware layer which is having high efficiency and abilities to gain high resource utilization...
The pipelined architecture has gained popularity due to its ability to achieve high throughput and low hardware complexity, low power consumption. Thus, these architectures are widely used in many applications, mainly for the real-time applications. The fast Fourier transform (FFT) offers optimized design for the complex samples, i.e., complex valued FFT (CFFT) but not for the real input samples,...
Temporal Derivative Cellular Neural Network (TDCNN) is an important class of neural networks. These networks find a lot of application in real life mostly in the real-time image processing. However, the main challenge is to implement this network in hardware. Therefore, in this paper, sinh-domain realization of single cell architecture of TDCNN which forms the only building block of complex TDCNN...
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