Photonic Crystal and Photonic Crystal Fibers Communications

The development of all optical communications could benefit from the index guiding photonic crystal fibers. In communication the photonic crystal fibers could provide many new solutions. Conventional optical fibers have within the last decades revolutionized the communications industry and it is today a mature technology being pushed to its limit with respect to properties such as losses, single mode operation and dispersion. The spectra have been used by others to develop optical frequency standards. The process can potentially be used for frequency conversion in fiber optic network. In this system the dispersive properties can be controlled by the optical lattice making it possible to achieve phase-matched four wave mixing, like look the process taking place in the photonic crystal fibers. In this paper we will discuss the use of photonic crystal fibers in communications

Characterization of the definitive classical calpain family of vertebrates using phylogenetic, evolutionary and expression analyses

Peer reviewedPublisher PD

Requirements of knowledge sharing for group decision support system

Group decision support systems (GDSS) have evolved from applications designed primarily to support decision making for groups. Indeed, it is generally accepted that improvements of group support systems is a longstanding interest to organizational researchers, containing solid practical as well as scientific significance. Within this practice, there is increasing challenge to improve the exchange of knowledge among group members in order to enhance GDSS capability of knowledge sharing. Therefore, the paper investigates the current GDSS situation and analyzing the requirements of knowledge sharing (KS) to enhance GDSS. It is hoped that these findings will aid to provide GDSS systems with the solid capability of knowledge sharing

Wireless power transfer characteristics observations using inductive coupling method

The purpose of this project is designing and modelling of a system for WPT using inductive coupling to eliminate the use of wires. In this project the problem of using the wires which will reduce the efficiency of the system will be eliminated. There are many ways to overcome the energy that will be dissipated in the wires of the wired systems, and here in this project will model one of those techniques which is inductive coupling. This method will help to transfer the power wirelessly and the use of the wires will be eliminated, but with less distances. This project will give information that the power is transferred wirelessly and the distance effect for the output power of the WPT. Still some of the low power devices need a developed procedure for safe and accurate wireless power transfer. So this project will highlight some aspects for wireless power transfer. By using math lab Simulink maximum efficiency was achieved while the coupling coefficient K was 1 which is 97.33% in both theoretical and simulation results

Circumnavigation of an Unknown Target Using UAVs with Range and Range Rate Measurements

This paper presents two control algorithms enabling a UAV to circumnavigate an unknown target using range and range rate (i.e., the derivative of range) measurements. Given a prescribed orbit radius, both control algorithms (i) tend to drive the UAV toward the tangent of prescribed orbit when the UAV is outside or on the orbit, and (ii) apply zero control input if the UAV is inside the desired orbit. The algorithms differ in that, the first algorithm is smooth and unsaturated while the second algorithm is non-smooth and saturated. By analyzing properties associated with the bearing angle of the UAV relative to the target and through proper design of Lyapunov functions, it is shown that both algorithms produce the desired orbit for an arbitrary initial state. Three examples are provided as a proof of concept.Comment: To appear in IEEE Conference on Decision and Control, 201

Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models

The health and function of tissue rely on its vasculature network to provide reliable blood perfusion. Volumetric imaging approaches, such as multiphoton microscopy, are able to generate detailed 3D images of blood vessels that could contribute to our understanding of the role of vascular structure in normal physiology and in disease mechanisms. The segmentation of vessels, a core image analysis problem, is a bottleneck that has prevented the systematic comparison of 3D vascular architecture across experimental populations. We explored the use of convolutional neural networks to segment 3D vessels within volumetric in vivo images acquired by multiphoton microscopy. We evaluated different network architectures and machine learning techniques in the context of this segmentation problem. We show that our optimized convolutional neural network architecture, which we call DeepVess, yielded a segmentation accuracy that was better than both the current state-of-the-art and a trained human annotator, while also being orders of magnitude faster. To explore the effects of aging and Alzheimer's disease on capillaries, we applied DeepVess to 3D images of cortical blood vessels in young and old mouse models of Alzheimer's disease and wild type littermates. We found little difference in the distribution of capillary diameter or tortuosity between these groups, but did note a decrease in the number of longer capillary segments ($>75\mu m$) in aged animals as compared to young, in both wild type and Alzheimer's disease mouse models.Comment: 34 pages, 9 figure

The wordpress project :|bapractical action research experience

Tesis (Profesor de Inglés para la Enseñanza Básica y Media y al grado académico de Licenciado en Educación)The aim of this study is to promote and implement the use of social media resources in English-as-foreign-language (EFL) classrooms. In addition, the investigation intends to advance our understanding of this issue through examining the perspectives and a digital-immigrant teacher experiences. According to identity and the socio-cultural theory literature, we realized that there are teachers who are seeking to be innovative in their practices by using social media tools. This study pretends to portray that Internet and different social media tools, especially WordPress, are becoming essential for teaching purposes. The results reflect that social media tools were helpful for this teacher and what were her perceptions about the process and the implementation of Social media tools (SMT), in her EFL classroom.El objetivo de este estudio es promover e implementar el uso de los medios de comunicación social en las clases de inglés como lengua extranjera. Además, esta investigación pretende avanzar en nuestra comprensión de este tema a través del examen de las perspectivas de una maestra considerada como inmigrante digital, y sus experiencias. De acuerdo con la literatura sobre identidad y la teoría sociocultural, nos dimos cuenta de que hay maestros que buscan ser innovadores en sus prácticas mediante el uso de herramientas en línea. Este estudio pretende retratar que Internet y sus diferentes herramientas, especialmente WordPress, se están volviendo imprescindibles para propósitos docentes. Los resultados reflejan que las herramientas de los medios de comunicación social fueron útiles para esta profesora y cuáles son sus percepciones sobre el proceso y la implementación del proyecto en su clase