Search results for "Automation"
showing 10 items of 1181 documents
Context-Aware RF-Energy Harvesting for IoT Networks
2021
Energy Harvesting plays a crucial role in improving the operational lifetime of IoT devices. The deployment of dedicated RF-transmitters helps in sufficient energy propagation to the sensor nodes of IoT networks. Also, energy harvesting using the deployment of such RF-transmitters is a challenging issue. In this work, two methods are proposed for the optimal placement of RF-transmitters for efficient energy harvesting in wireless sensor networks. The proposed context-aware RF-energy harvesting considers different network performance parameters such as energy-hole information, and data routing information. RF-transmitter deployment is achieved using network connectivity information in the fi…
Security Challenges of IoT-Based Smart Home Appliances
2018
The Internet of Things, IoT, and the related security challenges are reaching homes in the form of smart appliances. If the appliances are compromised, they can be used in botnet attacks against Internet services and potentially cause harm to people and property through the local network, for example, by heating up too much or allowing unauthorized access. The aim of this study was to see how secure these devices are against remote and network attacks. Several devices were tested with attacks coming from the same Wi-Fi network to gain various levels of control of the devices. Their security against a Man-in-the-Middle attack was also studied to see differences in the susceptibility to conne…
Robust Hand Gestures Recognition Using a Deep CNN and Thermal Images
2021
Medical systems and assistive technologies, human-computer interaction, human-robot interaction, industrial automation, virtual environment control, sign language translation, crisis and disaster management, entertainment and computer games, and so on all use RGB cameras for hand gesture recognition. However, their performance is limited especially in low-light conditions. In this paper, we propose a robust hand gesture recognition system based on high-resolution thermal imaging that is light-independent. A dataset of 14,400 thermal hand gestures is constructed, separated into two color tones. We also propose using a deep CNN to classify high-resolution hand gestures accurately. The propose…
NoC Reconfiguration for CMP Virtualization
2011
At NoC level, the traffic interferences can be drastically reduced by using virtualization mechanisms. An effective strategy to virtualize a NoC consists in dividing the network in different partitions, each one serving different applications and traffic flows. In this paper, we propose a NoC reconfiguration mechanism to support NoC virtualization under real scenarios. Dynamic reassignment of network resources to different partitions is allowed in order to NoC dynamically adapts to application needs. Evaluation results show a good behavior of CMP virtualization.
Energy-Efficient M2M Communications in for Industrial Automation
2020
M2M communication with autonomous data acquisition and exchange plays a key role in realizing the “control”-oriented tactile Internet (TI) applications such as industrial automation. In this chapter, we develop a two-stage access control and resource allocation algorithm. In the first stage, we introduce a contract-based incentive mechanism to motivate some delay-tolerant machine-type communication (MTC) devices to postpone their access demands in exchange for higher access opportunities. In the second stage, a long-term cross-layer online resource allocation approach is based on Lyapunov optimization, which jointly optimizes rate control, power allocation, and channel selection without pri…
Galaxy-SynBioCAD: Synthetic Biology Design Automation tools in Galaxy workflows
2020
AbstractMany computer-aided design tools are available for synthetic biology and metabolic engineering. Yet, these tools can be difficult to apprehend, sometimes requiring a level of expertise that limits their use by a wider community. Furthermore, some of the tools, although complementary, rely on different input and output formats and cannot communicate with one another. Scientific workflows address these shortcomings while offering a novel design strategy. Among the workflow systems available, Galaxy is a web-based platform for performing findable and accessible data analyses for all scientists regardless of their informatics expertise, along with interoperable and reproducible computat…
Advances in vehicle routing and logistics optimization
2019
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sar: Automatic generation of statistical reports using Stata and Microsoft Word for Windows
2013
The output provided by most Stata commands is plain text not suitable to be presented or published. After the numerical and graphical outputs are obtained, the user has to copy them into a word processor to complete the editing process. Some Stata commands help you to obtain well-formatted output, especially tabulated results in LATEX or other formats, but they are not a complete solution nor are they friendly tools. Stata automatic report (Sar) is an easy-to-use macro for Microsoft Word for Windows that allows a powerful integration between Stata and Word. With Sar, the user can retrieve numerical results and graphs from Stata and automatically insert them into a well-formatted Word docum…
Circuit simulators for circuit analysis in graduate engineering courses
2018
Circuit simulators are extensively used as an aid in many courses at the graduate level in many different engineering and applied sciences programs. SPICE (Simulation Program with Integrated Circuits Emphasis) based software programs have been used for long due to their traditional market position. If we focus on circuits analysis and linear systems subjects, the features that are required from a given simulator can be found in student/limited versions of commercial EDA (Electronic Design Automation) suites or in freeware/open source codes. In this contribution, we analyse and compare the most revelant characteristics of a representative set of the software packages that are commonly adopte…
Automated Uncertainty Quantification Through Information Fusion in Manufacturing Processes
2017
International audience; Evaluation of key performance indicators (KPIs) such as energy consumption is essential for decision-making during the design and operation of smart manufacturing systems. The measurements of KPIs are strongly affected by several uncertainty sources such as input material uncertainty, the inherent variability in the manufacturing process, model uncertainty, and the uncertainty in the sensor measurements of operational data. A comprehensive understanding of the uncertainty sources and their effect on the KPIs is required to make the manufacturing processes more efficient. Towards this objective, this paper proposed an automated methodology to generate a hierarchical B…