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Distributed computing platforms provide a robust mechanism to perform large-scale computations by splitting the task and data among multiple locations, possibly located thousands of miles apart geographically. Although such distribution of resources can lead to benefits, it also comes with its associated problems such as rampant duplication of file transfers increasing congestion, long job completion...
Yield and loss prediction plays an important role in the planning and operation of solar PV systems. The performance of a solar PV system depends on the location, system design, field of view, and the orientation of the solar panels in a given system. Some design and simulation tools are designed by professionals to connect to efficient planning and grid operations as well as stand-alone solar photovoltaic...
Today's dynamic computing deployment for commercial and scientific applications is propelling us to an era where minor inefficiencies can snowball into significant performance and operational bottlenecks. Data center operations is increasingly relying on sensors based control systems for key decision insights. The increased sampling frequencies, cheaper storage costs and prolific deployment of sensors...
As high performance computing (HPC) infrastructures continue to grow in capability and complexity, so do the applications that they serve. HPC and distributed-area computing (DAC) (e.g. grid and cloud) users are looking increasingly toward workflow solutions to orchestrate their complex application coupling, pre- and post-processing needs. To that end, the US Department of Energy Integrated end-to-end...
Extreme learning machine (ELM) is a learning method for training feedforward neural networks with randomized hidden layer(s). It initializes the weights of hidden neurons in a random manner and determines the output weights in an analytic manner by making use of Moore-Penrose (MP) generalized inverse. No-Prop algorithm is recently proposed training algorithm for feedforward neural networks in which...
The power produced through the wind changes very quickly because of the constant fluctuation of the speed of wind and direction. This is essential for the power industry to have the ability to forecast the Power generated by the wind for the power control and management. A short term method of forecasting the wind power of a wind power plant (WPP) is introduced in this paper which is trained by Artificial...
Blockmodel problem (BMP) deals with identifying structural similarities or equivalences among entities which, in turn, provide many insights into the structures or patterns of complex networks such as social networks. The objective of this problem is to find a small number of large blocks containing structural similarities or equivalences among entities in a given graph representing a complex network...
The minimum weight dominating set (MWDS) problem is a classic NP-Hard optimisation problem with a wide range of practical applications. As a result, many algorithms have been proposed for this problem. Several greedy and approximation algorithms exist which provide good results for unit disk graphs with smooth weights. However, these algorithms do not perform well when applied to general graphs. There...
A 50 A, ±225 V current regulated bipolar power supply has been developed to energize the solenoid coil in atom cooling experiment. The power supply operates on 415 V, 50 Hz three-phase ac mains. Topology used is a two-quadrant asymmetrical half-bridge operating at 25 kHz. The main feature of this power supply is its ability to generate fast rising and falling current profiles of peak amplitude 50...
All-to-all broadcast refers to the process by which every node inherently communicates to every other node in the network. The all-to-all broadcast problem seeks a broadcast tree scheme using minimum unique cast tree (MUCT) with minimum energy consumption. The “minimum all-to-all power broadcast problem is NP-Hard”. This work proposes an energy efficient heuristic to find minimum all-to-all power...
Robot telemanipulation in Master-Slave mode is required for unstructured and hazardous environments as in case of high-radiation areas. The expensive master devices can be replaced by the cheaper Kinect camera and the telemanipulation can be done using gestures. The traditional motion mappings from master devices to the slave prove to be quite non-intuitive when used for gesture based telemanipulation...
Broadcasting in wireless networks has gained tremendous importance in recent years with its spatial aspects, since multiple nodes can be communicated by a single transmission. All-to-all broadcast is a communication where in every node has to broadcast to all other nodes in the network. In this paper, we have investigated minimum unicast tree (MUCT) for computing minimum total power for all-to-all...
The min-degree constrained minimum spanning tree (MDCMST) problem seeks a spanning tree with minimum total cost such that each non-leaf node in the tree has a degree of at least d in the tree. MDCMST problem is NP-Hard. In this paper we have proposed a new heuristic and a metaheuristic approach to this problem. The metaheuristic approach consists of a recently proposed swarm intelligence technique...
P-center problem has been studied widely in operations research and computational geometry. It is a facility location problem. Here the goal is to find the best positions of p centers in a plane consisting of n demand points such that the maximum distance of any point from its nearest center is minimized. Constrained p-center problem is an extension of p-center problem where there are certain restrictions...
We describe a PUF design with integrated error correction that is robust to various layout implementations and achieves excellent and consistent results in each of the following four areas: Randomness, Uniqueness, Bias and Stability. 133 PUF devices in 0.13 μm technology encompassing seven circuit layout implementations were tested. The PUF-based key generation design achieved less than 0.58 ppm failure...
Algorithms that uses bit-wise operations are known as bit-parallel algorithms. Technique of bit-parallelism has been very useful in string matching area since the introduction of the Shift-Or algorithm. In this algorithm, the input pattern length (m) is required to be less than the computer word size (W) to benefit from the full power of bit-parallelism. In the past, BLIM (Bit-parallel length independent...
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