Category Archive: 'Opnet PHD Projects'

Universal Approximation with Convex Optimization: Gimmick or Reality? [Discussion Forum]

This paper surveys in a tutorial fashion the recent history of universal learning machines starting with the multilayer perceptron. The big push in recent years has been on the design of universal learning machines using optimization methods linear in the parameters, such as the Echo State Network, the Extreme Learning Machine and the Kernel Adaptive filter. […]

Non-Myopic Adaptive Route Planning in Uncertain Congestion Environments

We consider the problem of adaptively routing a fleet of cooperative vehicles within a road network in the presence of uncertain and dynamic congestion conditions. To tackle this problem, we first propose a Gaussian process dynamic congestion model that can effectively characterize both the dynamics and the uncertainty of congestion conditions. Our model is efficient and thus […]

Active queue management for congestion avoidance in multimedia streaming

Reducing the queue length and queuing delay in the buffer which in turn reduces congestion and latency in the network are of great importance for real-time video services. This paper proposes a congestion avoidance active queue management, tailored for scalable video coding (SVC). This distortion-constrained (DC) queue management mechanism maximally decreases the queue length and queuing delay […]

An Oscilloscope Correction Method for Vector-Corrected RF Measurements

The transfer characteristics of the RF front-end circuitry of a real-time oscilloscope (RTO) are not only frequency dependent and nonlinear with signal amplitude but also dependent on the voltage range setting of the oscilloscope. A correction table in the frequency domain is proposed to account for the additional gain and delay introduced when switching between […]

Industrial application development exploiting IoT vision and model driven programming

In recent years there has been a huge discussion about the IoT (Internet of Things) concept, and even more about IoT within industrial environment. The real IoT is a network of devices with local intelligence (sensors, lights, gas pumps, HVAC systems), which shares access & control mechanisms to push and pull status and command information from the networked world. […]

Personalized web search engine using dynamic user profile and clustering techniques

Internet is large interconnection of small networks that is commonly known as World Wide Web. The amount of informations available on internet in digital form are very huge and growing at exponential rate following Moore’s law. So, it’s makes difficult to find exact search result according to user preferences. In this paper, we proposed a method for […]

Nano-patterned permalloy thin film enabled electrically tunable spiral inductor

Inductors are one of the key components and are widely used in modern RFIC and MMIC systems. With the increasing trend of working frequencies, high performance inductors are greatly demanded and indispensable in current and future communication systems. However, inductors generally take large chip area and play a limiting role in further reducing size and […]

Magnetic interaction and electronic transport in La0.4Bi0.6Mn0.5Ti0.5O3manganite

In recent years perovskite type manganites having general formula ABO3 have attracted significant deliberation because of their importance both for potential magneto-electronic applications and fundamental research in condensed matter physics. The properties of these materials such as magnetoresistance, metal-insulator transition, charge, magnetic ordering, etc., have attracted significant attention [1]. The substitution of divalent or other trivalent […]

From Demand Response in Smart Grid Toward Integrated Demand Response in Smart Energy Hub

The proliferation of technologies such as combine heat and power systems has accelerated the integration of energy resources in energy hubs. Besides, the advances in smart grid technologies motivate the electricity utility companies toward developing demand response (DR) programs to influence the electricity usage behavior of the customers. In this paper, we modify the conventional […]

A Novel 2D Urban Map Search Framework Based on Attributed Graph Matching

This paper presents a novel framework for urban map search. The search capabilities of the existing GIS systems are restricted to text-based search, neglecting significant topological and semantic information. We propose a framework that aims to extend the search capabilities by offering sketch-based search. Initially, the urban maps are processed in an offline step in […]