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Tag Archive: IEEE Ns2 Projects

Micropatterning of multiple photonic colloidal crystals in single-layered microchannels for structural-color optical filter

We describe a simple and rapid micropatterning method of multiple types of photonic colloidal crystals (PCCs) on a single substrate for an optical color filter of a reflective display. We developed a “Channel-Cut Method” to introduce multiple colloidal suspensions selectively and sequentially into a microchannelnetwork. By combining this method with centrifugal crystallization, we succeeded in […]

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Colorimetric materials for gas selective sensing in low-power applications

One approach to realize selective chemical sensors is the integration of colorimetric materials as gas sensitive substances. Color changes, due to the reaction with the target gas, can be detected optically. These kinds of sensors offer various advantages, such as fast response times and the use of simple instrumentation. Being selective, reliable and energy-saving, the […]

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An N-path UE with recourse for traffic assignment

Traffic assignment plays an essential role in transportation planning because it offers methods to predict the flow allocation on paths and evaluating the performance of traffic network. The conventional user equilibrium(UE) makes sure that no road user will change routing choices unilaterally due to the risk of more loss. In this paper, we consider more complicated […]

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A 512×512-cell associative CAM/Willshaw memory with vector arithmetic

In this paper we present a CMOS implementation of a 512×512-cell Associative Content Addressable Memory (ACAM) in 180 nm CMOS. The memory can be operated either as an associative CAM or it can be configured into a Willshaw memory for operating with sparse data. The vector matching operation can use a tunable hit threshold or […]

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Towards machines that know when they do not know: Summary of work done at 2014 Frederick Jelinek Memorial Workshop

A group of junior and senior researchers gathered as a part of the 2014 Frederick Jelinek Memorial Workshop in Prague to address the problem of predicting the accuracy of a nonlinear Deep NeuralNetwork probability estimator for unknown data in a different application domain from the domain in which the estimator was trained. The paper describes the […]

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Mobile Agent-Based Service Migration

Mobile agents are special software agents that can move spontaneously across multiple hosts of one or more networks. In case of a malicious attack and system failure, mobile agents can move from their damaged platforms to other clean, healthy platforms so that the services they offer can be continuously provided on the new platforms, thus achieving […]

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On the distributed acoustic sensing based on local time-frequency coherence analysis

This paper outlines novel approaches to design a new generation of distributed networks of acoustic sensors. The key-concept is marked by the use of time-frequency signal analysis tools directly embedded at the sensor node. The general framework for analysis at the acoustic sensor level is based on spectrogram which is very simple and easy to implement. The […]

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Cooperative localization by factor composition over a faulty low-bandwidth communication channel

This paper reports on an underwater cooperative localization algorithm for faulty low-bandwidth communication channels based on a factor graph estimation framework. Vehicles measure the one-way-travel-time (OWTT) of acoustic broadcasts to obtain a relative range observation to the transmitting vehicle. We present a method to robustly share locally observed sensor data across thenetwork by exploiting odometry factor […]

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Distributed greedy sparse recovery for through-the-wall radar imaging

A modified distributed orthogonal matching pursuit algorithm is presented for sparse scene reconstruction in through-the-wall radar imaging applications. A distributed network of radar systems, each equipped with a single transmitter and an array of receivers, is considered. Ray-tracing based numerical simulation results are provided which demonstrate the effectiveness of the proposed algorithm.

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Drivers and aspects of 2.5/3D integration as a potential game-changer

Summary form only given. It is increasingly clear that performance and capacity improvements predicated on Moore’s law will not be sufficient to meet projected overall capacity demands in anetworked society – in fact more than Moore will be needed. One way to meet these demands is enabled by 2.5D and 3D integration on chip-level. In this […]

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