76 research outputs found
Effect of FRP on bond strength of hooked bar anchorages in normal strength concrete structures - by Faten George Ibrahim
No full textThesis (M.E.)--American University of Beirut, Dept. of Civil and Environmental Engineering, 2006.;"Advisor: Dr. Bilal Hamad, Professor, Department of Civil and Environmental Engineering--Member of Committee: Dr. Mohammad Harajli, Professor, Department ofBibliography: leaves 197-198.The primary objective of the research reported in this thesis was to assess the viability of using carbon fiber reinforced polymer (CFRP) sheets externally conf ining normal strength concrete beam-column joints, in increasing the bond streng th of the ho
A theoretical framework for designing and evaluating semi-structured document triage interfaces
No full textThe authors of this chapter (Fernando Loizides and Aekaterini Mavri) consider several topics that will be of interest to readers. A notable feature of it is that they back up their recommendations with references to research evidence.
Instead of the usual 'how to' guidelines that can be found in manuals of information architecture, this chapter explains why designers should pay attention to certain elements of information architecture, for example, and refers to the research evidence. As the authors themselves emphasise, 'user
studies' is a huge area of research, and it is impossible to refer to all the underpinning evidence. Another problem is that 'user studies' means different things to different disciplines with an interest in the information user.
The dialogue project (Dervin and Reinhard, 2006; Dervin, Reinhard and Shen, 2006) examined convergences and divergences in how three fields (library and information science, human-computer interaction and communication and media studies) looked at users and each other. The authors concluded that
proper shared dialogue was desirable, but rare. The structures for communication across research and practice, and between the disciplines, did not make for mutual understanding, easy discussion, or - frankly - the understanding of users or audiences that the researchers (and practitioners) truly want. Power, prestige and a dependence on 'authority' get in the way. With that in mind, and without taking away from the excellent presentation of research evidence in this chapter, you should remember that you may need to approach the evidence in this chapter (and other chapters in this book) with the sense-making questions set out in the introduction. What are my reactions to this evidence?
What do I agree with? What do I disagree with? What else do I need to know or experience to make further progress with this topic? There are several themes in this chapter. First, there is the idea of the semi-structured document. The authors' emphasis is on journal articles, patents and similar research study formats, and how these may be presented to readers to help them evaluate their contents quickly and successfully. There is considerable research on the difference in comprehension of reading text (usually linear text) on screen versus paper (e.g. Mangen, Walgermo and Bronnick, 2013). On-screen reading is different as it seems to be more difficult for readers to navigate some types of documents, to check whether they are moving around effectively, and whether they have a good spatial mental representation when reading on screen. Semi-structured documents such as journal articles usually have a standard format - introduction, methods, results and discussion - which can support navigation. Readers know what to expect in particular sections, and the order in which they expect to find things. Nevertheless, readers may have all sorts of different purposes when trying to find and extract information from an online semi-structured document and this chapter discusses the importance of providing a table of contents alongside the full text, and the need to deal with captions, images, tables and figures. It provides an overview of the research evidence and covers information architecture, external factors such as accessibility, and assistive tools
Policy Based Approach for Information Transfer over Mobile ad hoc Network using Messages Privacy Control
No full textAd Hoc networks are a set of wireless mobile communication nodes (stations, users) that exchange information between different nodes in a dynamic environment. The mobile infrastructure help to form the dynamic network structure. Nodes communicate and send information between each other and with the centralized access points without interference. Each node acts both as a router to information or as an end user node that receive the sent information. Information dissemination between different nodes may face lake of security due to accidental or unauthorized message forward to illegal third party. This paper proposes a policy based approach for information transfer over Mobile ad hoc network (MANET) using messages privacy control where the creator of the message determines the nodes that should receive the message and deny sending the message to other nodes. Each message is sent in combination with a policy which controls its sending behavior at the receiver side. The policy is applied at the application level. A simulation of the proposed approach has been programmed to perform experimental case studies. The results have proven the efficiency of the proposed approach in securing the privacy of information transfer. </jats:p
Measuring the Performance of Parallel Information Processing in Solving Linear Equation Using Multiprocessor Supercomputer
No full textEvaluation the performance of the algorithms and the method that is used to implement it play a major role in the assessment of the performance of many applications and it help the researchers to decide which algorithm to use and which method to implement it, it also give indicate of the performance of the hardware that the algorithm is tested over. In this paper we evaluate the performance of solving linear equation application over supercomputer which was implemented and using Message Passing interface (MPI) library. The sequential and multithreaded algorithm for solving linear equations has been experimented too and the results has been recorded, the speedup and efficiency of the algorithm has been calculated and the results showed that the parallel algorithm outperforms other methods with the large size matrix of 8192 * 8192 over the number of processors of 64. For large input size, the results also showed that there is a noticeable decrease in running time as the number of processors increase. But in case of multithreaded the results showed that as the matrix size increase the time required for running the algorithm is rapidly increasing although the number of threads increased. This indicates that the parallel performance over for large matrix input size is better and outperforms other methods. </jats:p
Exploiting Social Media and Tagging for Social Book Search: Simple Query Methods for Retrieval Optimization
No full textRecommended from our members
Moments of Contemplation: Art, Science and Architecture
No full textThis book is one of a series of books under the title "Moments of Contemplation".
This particular book is a travel memoir of the author, focusing on art, science, and architecture and their interrelationships with placeness.
In a nostalgic, artistic and atmospheric book featuring images next to each text page, the author documents her experiences of lifelong travels, while reflecting on those experiences as a resident, artist, and scholar with a broad architectural background
Novel hybrid success history intelligent optimizer with Gaussian transformation : application in CNN hyperparameter tuning
No full textThis research proposes a novel Hybrid Success History Intelligent Optimizer with Gaussian Transformation (SHIOGT) for solving different complexity level optimization problems and for Convolutional Neural Network (CNNs) hyperparameter tuning. SHIOGT algorithm is designed to balance exploration and exploitation phases through the addition of Gaussian Transformation to the original Success History Intelligent Optimizer. The inclusion of Gaussian Transformation enhances solution diversity enables SHIO to avoid local optima. SHIOGT also demonstrates robustness and adaptability by dynamically adjusting its search strategy based on problem characteristics. Furthermore, the combination of Gaussian and SHIO facilitates faster convergence, accelerating the discovery of optimal or near-optimal solutions. Moreover, the hybridization of these two techniques brings a synergistic effect, enabling SHIOGT to overcome individual limitations and achieve superior performance in hyperparameter optimization tasks. SHIOGT was thoroughly assessed against an array of benchmark functions of varying complexities, demonstrating its ability to efficiently locate optimal or near-optimal solutions across different problem categories. Its robustness in tackling multimodal and deceptive landscapes and high-dimensional search spaces was particularly notable. SHIOGT has been benchmarked over 43 challenging optimization problems and have been compared with state-of-the art algorithm. Further, SHIOGT algorithm is applied to the domain of deep learning, with a case study focusing on hyperparameter tuning of CNNs. With the intelligent exploration–exploitation balance of SHIOGT, we hypothesized it could effectively optimize the CNN's hyperparameters. We evaluated the performance of SHIOGT across a variety of datasets, including MNIST, Fashion-MNIST, CIFAR-10, and CIFAR-100, with the aim of optimizing CNN model hyperparameters. The results show an impressive accuracy rate of 98% on the MNIST dataset. Similarly, the algorithm achieved a 92% accuracy rate on Fashion-MNIST, 76% on CIFAR-10, and 70% on CIFAR-100, underscoring its effectiveness across diverse datasets. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</p
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