Multimedia And Internetworking Architecture Infrastructure On Interactive E-Learning System

Science.gov (United States)

Indah, K. A. T.; Sukarata, G.

2018-01-01

Interactive e-learning is a distance learning method that involves information technology, electronic system or computer as one means of learning system used for teaching and learning process that is implemented without having face to face directly between teacher and student. A strong dependence on emerging technologies greatly influences the way in which the architecture is designed to produce a powerful interactive e-learning network. In this paper analyzed an architecture model where learning can be done interactively, involving many participants (N-way synchronized distance learning) using video conferencing technology. Also used broadband internet network as well as multicast techniques as a troubleshooting method for bandwidth usage can be efficient.

Evaluating deep learning architectures for Speech Emotion Recognition.

Science.gov (United States)

Fayek, Haytham M; Lech, Margaret; Cavedon, Lawrence

2017-08-01

Speech Emotion Recognition (SER) can be regarded as a static or dynamic classification problem, which makes SER an excellent test bed for investigating and comparing various deep learning architectures. We describe a frame-based formulation to SER that relies on minimal speech processing and end-to-end deep learning to model intra-utterance dynamics. We use the proposed SER system to empirically explore feed-forward and recurrent neural network architectures and their variants. Experiments conducted illuminate the advantages and limitations of these architectures in paralinguistic speech recognition and emotion recognition in particular. As a result of our exploration, we report state-of-the-art results on the IEMOCAP database for speaker-independent SER and present quantitative and qualitative assessments of the models' performances. Copyright © 2017 Elsevier Ltd. All rights reserved.

Ensemble Network Architecture for Deep Reinforcement Learning

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Xi-liang Chen

2018-01-01

Full Text Available The popular deep Q learning algorithm is known to be instability because of the Q-value’s shake and overestimation action values under certain conditions. These issues tend to adversely affect their performance. In this paper, we develop the ensemble network architecture for deep reinforcement learning which is based on value function approximation. The temporal ensemble stabilizes the training process by reducing the variance of target approximation error and the ensemble of target values reduces the overestimate and makes better performance by estimating more accurate Q-value. Our results show that this architecture leads to statistically significant better value evaluation and more stable and better performance on several classical control tasks at OpenAI Gym environment.

An agent architecture with on-line learning of both procedural and declarative knowledge

Energy Technology Data Exchange (ETDEWEB)

Sun, R.; Peterson, T.; Merrill, E. [Univ. of Alabama, Tuscaloosa, AL (United States)

1996-12-31

In order to develop versatile cognitive agents that learn in situated contexts and generalize resulting knowledge to different environments, we explore the possibility of learning both declarative and procedural knowledge in a hybrid connectionist architecture. The architecture is based on the two-level idea proposed earlier by the author. Declarative knowledge is represented symbolically, while procedural knowledge is represented subsymbolically. The architecture integrates reactive procedures, rules, learning, and decision-making in a unified framework, and structures different learning components (including Q-learning and rule induction) in a synergistic way to perform on-line and integrated learning.

A Synchronous Collaborative Service Oriented Mobile Learning Architecture SCSOMLA

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Charles Wamuti

2015-08-01

Full Text Available Despite the growth of mobile learning and advantages offered such as portability social interactivity context sensitivity convenience inclusive and non-discriminatory independence data collected showed that there is low use of such mobile learning systems. Investigation on mobile learning sought the participation of users and availability of users the mimicability of the class room and the various implementations in institutions and attempts at synchronous collaboration in existing Mobile Learning based infrastructure. As seen in the research the social aspect of smart mobile phones has not been leveraged to be incorporated in mobile learning infrastructure where a class is seen as a social place. Mobile Learning has not allowed a collaborative part of the social constructivism theory approach to users of these technologies which have focused on technology other than the fundamental of teaching collaborative pedagogy. Options that would enable group collaboration would be necessary to increase the quality of service for those teaching and learning in a mobile environment. With this lack of environmental feel and exposing the services that are offered in the teaching business service oriented architecture a mature technology was applied due to its seamless integration to business processes. Research explored what standards have been proposed regarding Service Oriented Architecture S.O.A. and M-Learning how has time-based collaboration been archived in other m-learning systems and how can time-based collaboration S.O.A. and M-Learning be wrapped around An architecture based on the intersection of time-based collaboration S.O.A. and M-Learning then was designed and evaluated. Results of a user study comparing a mobile learning system integrated social collaborative pedagogical features suggest that an enhanced social presence was achieved where users worked together similar to a conventional classroom.

Proposing an Optimal Learning Architecture for the Digital Enterprise.

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O'Driscoll, Tony

2003-01-01

Discusses the strategic role of learning in information age organizations; analyzes parallels between the application of technology to business and the application of technology to learning; and proposes a learning architecture that aligns with the knowledge-based view of the firm and optimizes the application of technology to achieve proficiency…

Automation and Control Learning Environment with Mixed Reality Remote Experiments Architecture

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Frederico M. Schaf

2007-05-01

Full Text Available This work aims to the use of remotely web-based experiments to improve the learning process of automation and control systems theory courses. An architecture combining virtual learning environments, remote experiments, students guide and experiments analysis is proposed based on a wide state of art study. The validation of the architecture uses state of art technologies and new simple developed programs to implement the case studies presented. All implementations presented use an internet accessible virtual learning environment providing educational resources, guides and learning material to create a distance learning course associated with the remote mixed reality experiment. This work is part of the RExNet consortium, supported by the European Alfa project.

An Architecture for Open Learning Management Systems

NARCIS (Netherlands)

Avgeriou, Paris; Retalis, Simos; Skordalakis, Manolis

2003-01-01

There exists an urgent demand on defining architectures for Learning Management Systems, so that high-level frameworks for understanding these systems can be discovered, and quality attributes like portability, interoperability, reusability and modifiability can be achieved. In this paper we propose

An Autonomous Mobile Agent-Based Distributed Learning Architecture-A Proposal and Analytical Analysis

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I. Ahmed M. J. SADIIG

2005-10-01

Full Text Available An Autonomous Mobile Agent-Based Distributed Learning Architecture-A Proposal and Analytical Analysis Dr. I. Ahmed M. J. SADIIG Department of Electrical & Computer EngineeringInternational Islamic University GombakKuala Lumpur-MALAYSIA ABSTRACT The traditional learning paradigm invoving face-to-face interaction with students is shifting to highly data-intensive electronic learning with the advances in Information and Communication Technology. An important component of the e-learning process is the delivery of the learning contents to their intended audience over a network. A distributed learning system is dependent on the network for the efficient delivery of its contents to the user. However, as the demand of information provision and utilization increases on the Internet, the current information service provision and utilization methods are becoming increasingly inefficient. Although new technologies have been employed for efficient learning methodologies within the context of an e-learning environment, the overall efficiency of the learning system is dependent on the mode of distribution and utilization of its learning contents. It is therefore imperative to employ new techniques to meet the service demands of current and future e-learning systems. In this paper, an architecture based on autonomous mobile agents creating a Faded Information Field is proposed. Unlike the centralized information distribution in a conventional e-learning system, the information is decentralized in the proposed architecture resulting in increased efficiency of the overall system for distribution and utilization of system learning contents efficiently and fairly. This architecture holds the potential to address the heterogeneous user requirements as well as the changing conditions of the underlying network.

Learning speaker-specific characteristics with a deep neural architecture.

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Chen, Ke; Salman, Ahmad

2011-11-01

Speech signals convey various yet mixed information ranging from linguistic to speaker-specific information. However, most of acoustic representations characterize all different kinds of information as whole, which could hinder either a speech or a speaker recognition (SR) system from producing a better performance. In this paper, we propose a novel deep neural architecture (DNA) especially for learning speaker-specific characteristics from mel-frequency cepstral coefficients, an acoustic representation commonly used in both speech recognition and SR, which results in a speaker-specific overcomplete representation. In order to learn intrinsic speaker-specific characteristics, we come up with an objective function consisting of contrastive losses in terms of speaker similarity/dissimilarity and data reconstruction losses used as regularization to normalize the interference of non-speaker-related information. Moreover, we employ a hybrid learning strategy for learning parameters of the deep neural networks: i.e., local yet greedy layerwise unsupervised pretraining for initialization and global supervised learning for the ultimate discriminative goal. With four Linguistic Data Consortium (LDC) benchmarks and two non-English corpora, we demonstrate that our overcomplete representation is robust in characterizing various speakers, no matter whether their utterances have been used in training our DNA, and highly insensitive to text and languages spoken. Extensive comparative studies suggest that our approach yields favorite results in speaker verification and segmentation. Finally, we discuss several issues concerning our proposed approach.

Organizational Learning Supported by Reference Architecture Models

DEFF Research Database (Denmark)

Nardello, Marco; Møller, Charles; Gøtze, John

2017-01-01

of an emerging technical standard specific for the manufacturing industry. Global manufacturing experts consider the Reference Architecture Model Industry 4.0 (RAMI4.0) as one of the corner stones for the implementation of Industry 4.0. The instantiation contributed to organizational learning in the laboratory...

PELS: A Noble Architecture and Framework for a Personal E-Learning System (PELS)

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Dewan, Jahangir; Chowdhury, Morshed; Batten, Lynn

2014-01-01

This article presents a personal e-learning system architecture in the context of a social network environment. The main objective of a personal e-learning system is to develop individual skills on a specific subject and share resources with peers. The authors' system architecture defines the organisation and management of a personal learning…

The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding.

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Testolin, Alberto; De Filippo De Grazia, Michele; Zorzi, Marco

2017-01-01

The recent "deep learning revolution" in artificial neural networks had strong impact and widespread deployment for engineering applications, but the use of deep learning for neurocomputational modeling has been so far limited. In this article we argue that unsupervised deep learning represents an important step forward for improving neurocomputational models of perception and cognition, because it emphasizes the role of generative learning as opposed to discriminative (supervised) learning. As a case study, we present a series of simulations investigating the emergence of neural coding of visual space for sensorimotor transformations. We compare different network architectures commonly used as building blocks for unsupervised deep learning by systematically testing the type of receptive fields and gain modulation developed by the hidden neurons. In particular, we compare Restricted Boltzmann Machines (RBMs), which are stochastic, generative networks with bidirectional connections trained using contrastive divergence, with autoencoders, which are deterministic networks trained using error backpropagation. For both learning architectures we also explore the role of sparse coding, which has been identified as a fundamental principle of neural computation. The unsupervised models are then compared with supervised, feed-forward networks that learn an explicit mapping between different spatial reference frames. Our simulations show that both architectural and learning constraints strongly influenced the emergent coding of visual space in terms of distribution of tuning functions at the level of single neurons. Unsupervised models, and particularly RBMs, were found to more closely adhere to neurophysiological data from single-cell recordings in the primate parietal cortex. These results provide new insights into how basic properties of artificial neural networks might be relevant for modeling neural information processing in biological systems.

Learning Analytics Architecture to Scaffold Learning Experience through Technology-based Methods

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Jannicke Madeleine Baalsrud Hauge

2015-02-01

Full Text Available The challenge of delivering personalized learning experiences is often increased by the size of classrooms and online learning communities. Serious Games (SGs are increasingly recognized for their potential to improve education. However, the issues related to their development and their level of effectiveness can be seriously affected when brought too rapidly into growing online learning communities. Deeper insights into how the students are playing is needed to deliver a comprehensive and intelligent learning framework that facilitates better understanding of learners' knowledge, effective assessment of their progress and continuous evaluation and optimization of the environments in which they learn. This paper discusses current SOTA and aims to explore the potential in the use of games and learning analytics towards scaffolding and supporting teaching and learning experience. The conceptual model (ecosystem and architecture discussed in this paper aims to highlight the key considerations that may advance the current state of learning analytics, adaptive learning and SGs, by leveraging SGs as an suitable medium for gathering data and performing adaptations.

An Integration Architecture of Virtual Campuses with External e-Learning Tools

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Navarro, Antonio; Cigarran, Juan; Huertas, Francisco; Rodriguez-Artacho, Miguel; Cogolludo, Alberto

2014-01-01

Technology enhanced learning relies on a variety of software architectures and platforms to provide different kinds of management service and enhanced instructional interaction. As e-learning support has become more complex, there is a need for virtual campuses that combine learning management systems with the services demanded by educational…

Learning architectures and negotiation of meaning in European trade unions

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Linda Creanor

2005-12-01

Full Text Available As networked learning becomes familiar at all levels and in all sectors of education, cross-fertilisation of innovative methods can usefully inform the lifelong learning agenda. Development of the pedagogical architectures and social processes, which afford learning, is a major challenge for educators as they strive to address the varied needs of a wide range of learners. One area in which this challenge is taken very seriously is that of trade unions, where recent large-scale projects have aimed to address many of these issues at a European level. This paper describes one such project, which targeted not only online courses, but also the wider political potential of virtual communities of practice. By analysing findings in relation to Wenger's learning architecture, the paper investigates further the relationships between communities of practice and communities of learners in the trade union context. The findings suggest that a focus on these relationships rather than on the technologies that support them should inform future developments.

An Architecture for Emotional and Context-Aware Associative Learning for Robot Companions

OpenAIRE

Rizzi Raymundo, C.; Johnson, C. G.; Vargas, P. A.

2015-01-01

This work proposes a theoretical architectural model based on the brain's fear learning system with the purpose of generating artificial fear conditioning at both stimuli and context abstraction levels in robot companions. The proposed architecture is inspired by the different brain regions involved in fear learning, here divided into four modules that work in an integrated and parallel manner: the sensory system, the amygdala system, the hippocampal system and the working memory. Each of the...

Humanoids Learning to Walk: A Natural CPG-Actor-Critic Architecture.

Science.gov (United States)

Li, Cai; Lowe, Robert; Ziemke, Tom

2013-01-01

The identification of learning mechanisms for locomotion has been the subject of much research for some time but many challenges remain. Dynamic systems theory (DST) offers a novel approach to humanoid learning through environmental interaction. Reinforcement learning (RL) has offered a promising method to adaptively link the dynamic system to the environment it interacts with via a reward-based value system. In this paper, we propose a model that integrates the above perspectives and applies it to the case of a humanoid (NAO) robot learning to walk the ability of which emerges from its value-based interaction with the environment. In the model, a simplified central pattern generator (CPG) architecture inspired by neuroscientific research and DST is integrated with an actor-critic approach to RL (cpg-actor-critic). In the cpg-actor-critic architecture, least-square-temporal-difference based learning converges to the optimal solution quickly by using natural gradient learning and balancing exploration and exploitation. Futhermore, rather than using a traditional (designer-specified) reward it uses a dynamic value function as a stability indicator that adapts to the environment. The results obtained are analyzed using a novel DST-based embodied cognition approach. Learning to walk, from this perspective, is a process of integrating levels of sensorimotor activity and value.

Neural architecture design based on extreme learning machine.

Science.gov (United States)

Bueno-Crespo, Andrés; García-Laencina, Pedro J; Sancho-Gómez, José-Luis

2013-12-01

Selection of the optimal neural architecture to solve a pattern classification problem entails to choose the relevant input units, the number of hidden neurons and its corresponding interconnection weights. This problem has been widely studied in many research works but their solutions usually involve excessive computational cost in most of the problems and they do not provide a unique solution. This paper proposes a new technique to efficiently design the MultiLayer Perceptron (MLP) architecture for classification using the Extreme Learning Machine (ELM) algorithm. The proposed method provides a high generalization capability and a unique solution for the architecture design. Moreover, the selected final network only retains those input connections that are relevant for the classification task. Experimental results show these advantages. Copyright © 2013 Elsevier Ltd. All rights reserved.

Using enterprise architecture to analyse how organisational structure impact motivation and learning

Science.gov (United States)

Närman, Pia; Johnson, Pontus; Gingnell, Liv

2016-06-01

When technology, environment, or strategies change, organisations need to adjust their structures accordingly. These structural changes do not always enhance the organisational performance as intended partly because organisational developers do not understand the consequences of structural changes in performance. This article presents a model-based analysis framework for quantitative analysis of the effect of organisational structure on organisation performance in terms of employee motivation and learning. The model is based on Mintzberg's work on organisational structure. The quantitative analysis is formalised using the Object Constraint Language (OCL) and the Unified Modelling Language (UML) and implemented in an enterprise architecture tool.

Architecture Students' Perceptions of Their Learning Environment and Their Academic Performance

Science.gov (United States)

Oluwatayo, Adedapo Adewunmi; Aderonmu, Peter A.; Aduwo, Egidario B.

2015-01-01

Scholars have agreed that the way in which students perceive their learning environments influences their academic performance. Empirical studies that focus on architecture students, however, have been very scarce. This is the gap that an attempt is filled in this study. A questionnaire survey of 273 students in a school of architecture in Nigeria…

Humanoids Learning to Walk: a Natural CPG-Actor-Critic Architecture

Directory of Open Access Journals (Sweden)

CAI eLI

2013-04-01

Full Text Available The identification of learning mechanisms for locomotion has been the subject of much researchfor some time but many challenges remain. Dynamic systems theory (DST offers a novel approach to humanoid learning through environmental interaction. Reinforcement learning (RL has offered a promising method to adaptively link the dynamic system to the environment it interacts with via a reward-based value system.In this paper, we propose a model that integrates the above perspectives and applies it to the case of a humanoid (NAO robot learning to walk the ability of which emerges from its value-based interaction with the environment. In the model,a simplified central pattern generator (CPG architecture inspired by neuroscientific research and DST is integrated with an actor-critic approach to RL (cpg-actor-critic. In the cpg-actor-critic architecture, least-square-temporal-difference (LSTD based learning converges to the optimal solution quickly by using natural gradient and balancing exploration and exploitation. Futhermore, rather than using a traditional (designer-specified reward it uses a dynamic value function as a stability indicator (SI that adapts to the environment.The results obtained are analyzed and explained by using a novel DST embodied cognition approach. Learning to walk, from this perspective, is a process of integrating sensorimotor levels and value.

Learning, memory, and the role of neural network architecture.

Directory of Open Access Journals (Sweden)

Ann M Hermundstad

2011-06-01

Full Text Available The performance of information processing systems, from artificial neural networks to natural neuronal ensembles, depends heavily on the underlying system architecture. In this study, we compare the performance of parallel and layered network architectures during sequential tasks that require both acquisition and retention of information, thereby identifying tradeoffs between learning and memory processes. During the task of supervised, sequential function approximation, networks produce and adapt representations of external information. Performance is evaluated by statistically analyzing the error in these representations while varying the initial network state, the structure of the external information, and the time given to learn the information. We link performance to complexity in network architecture by characterizing local error landscape curvature. We find that variations in error landscape structure give rise to tradeoffs in performance; these include the ability of the network to maximize accuracy versus minimize inaccuracy and produce specific versus generalizable representations of information. Parallel networks generate smooth error landscapes with deep, narrow minima, enabling them to find highly specific representations given sufficient time. While accurate, however, these representations are difficult to generalize. In contrast, layered networks generate rough error landscapes with a variety of local minima, allowing them to quickly find coarse representations. Although less accurate, these representations are easily adaptable. The presence of measurable performance tradeoffs in both layered and parallel networks has implications for understanding the behavior of a wide variety of natural and artificial learning systems.

Rasch family models in e-learning: analyzing architectural sketching with a digital pen.

Science.gov (United States)

Scalise, Kathleen; Cheng, Nancy Yen-Wen; Oskui, Nargas

2009-01-01

Since architecture students studying design drawing are usually assessed qualitatively on the basis of their final products, the challenges and stages of their learning have remained masked. To clarify the challenges in design drawing, we have been using the BEAR Assessment System and Rasch family models to measure levels of understanding for individuals and groups, in order to correct pedagogical assumptions and tune teaching materials. This chapter discusses the analysis of 81 drawings created by architectural students to solve a space layout problem, collected and analyzed with digital pen-and-paper technology. The approach allows us to map developmental performance criteria and perceive achievement overlaps in learning domains assumed separate, and then re-conceptualize a three-part framework to represent learning in architectural drawing. Results and measurement evidence from the assessment and Rasch modeling are discussed.

Predicting the academic success of architecture students by pre-enrolment requirement: using machine-learning techniques

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Ralph Olusola Aluko

2016-12-01

Full Text Available In recent years, there has been an increase in the number of applicants seeking admission into architecture programmes. As expected, prior academic performance (also referred to as pre-enrolment requirement is a major factor considered during the process of selecting applicants. In the present study, machine learning models were used to predict academic success of architecture students based on information provided in prior academic performance. Two modeling techniques, namely K-nearest neighbour (k-NN and linear discriminant analysis were applied in the study. It was found that K-nearest neighbour (k-NN outperforms the linear discriminant analysis model in terms of accuracy. In addition, grades obtained in mathematics (at ordinary level examinations had a significant impact on the academic success of undergraduate architecture students. This paper makes a modest contribution to the ongoing discussion on the relationship between prior academic performance and academic success of undergraduate students by evaluating this proposition. One of the issues that emerges from these findings is that prior academic performance can be used as a predictor of academic success in undergraduate architecture programmes. Overall, the developed k-NN model can serve as a valuable tool during the process of selecting new intakes into undergraduate architecture programmes in Nigeria.

Learning, composition and placement in the architecture project

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Juan Carlos Pérgolis

2016-04-01

Full Text Available Aprendizaje, composición y emplazamiento en el proyecto de arquitectura [Revisión de libro]ResumenEl texto que se muestra a continuación fue expuesto por el arquitecto Juan Carlos Pérgolis como parte de la presentación del libro Aprendizaje, composición y emplazamiento en el proyecto de arquitectura. Un diálogo entre las aproximaciones analógica y tipológica, que se realizó el 29 de septiembre de 2015 en el auditorio Gabriel Serrano Camargo de la Sociedad Colombiana de Arquitectos en Bogotá-Colombia. Este evento también contó con la participación de Juan Luis Rodríguez y Javier Peinado Pontón como lectores críticos de la obra.Este espacio también es la oportunidad para rendir un homenaje póstumo al arquitecto Germán Darío Correal Pachón, fallecido en octubre de 2015, quien nos dejó un gran legado representado en sus escritos y constantes reflexiones acerca de la pedagogía de la arquitectura, la enseñanza y el aprendizaje, y que con su particular visión de las cosas nos enseñó a ver más allá de las prácticas cotidianas de la docencia en arquitectura, sobre las cuales hay mucho que decir, investigar y escribir.Palabras clave: Diseño arquitectónico; investigación proyectual; pedagogía y didáctica universitaria; proyecto arquitectónico; teoría arquitectónica. Learning, composition and placement in the architecture projectAbstractThe text below was presented by the architect Juan Carlos Pérgolis as part of the presentation of the book Learning, composition and location in the architectural project. A dialogue between analogue and typological approach, which was held on September 29, 2015 in the auditorium Gabriel Serrano Camargo of the Colombian Society of Architects in Bogotá, Colombia. This event also featured the participation of Juan Luis Rodriguez and Javier Peinado Pontón as critical readers of the work.This space is also the opportunity to pay a posthumous tribute to the architect Germán Dar

Architectural design with simple shape grammars and learning

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Eduardo Jiménez-Morales

2014-12-01

Full Text Available This work presents a proposal for the automatic generation of architectural design. This scheme is based on the training of simple shape grammars through reinforcement learning technics. Finally, the results of the implemented system by this technic for the generation of dwelling design with certain restrictions are presented and analyzed.

Implementing the competences-based students-centered learning approach in Architectural Design Education. The case of the T MEDA Pilot Architectural Program at the Hashemite University (Jordan

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Ahmad A. S. Al Husban

2016-11-01

Full Text Available Higher educational systems become increasingly oriented towards the competences-based student-centered learning and outcome approach. Worldwide, these systems are focusing on the students as a whole: focusing on their dimensional, intellectual, professional, psychological, moral, and spiritual. This research was conducted in an attempt to answer the main research question: how can the architectural design courses be designed based on the required competences and how can the teaching, learning activities and assessment methods be structured and aligned in order to allow students to achieve and reach the intended learning outcomes? This research used a case study driven best practice research method to answer the research questions based on the T MEDA pilot architectural program that was implemented at the Hashemite University, Jordan. This research found that it is important for architectural education to adapt the students-centered learning method. Such approach increases the effectiveness of teaching and learning methods, enhances the design studio environment, and focuses on students’ engagement to develop their design process and product. Moreover, this research found that using different assessment methods in architectural design courses help students to develop their learning outcomes; and inform teachers about the effectiveness of their teaching process. Furthermore, the involvement of students in assessment produces effective learning and enhances their design motivation. However, applying competences-based students-centered learning and outcome approach needs more time and staff to apply. Another problem is that some instructors resist changing to the new methods or approaches because they prefer to use their old and traditional systems. The application for this method at the first time needs intensive recourses, more time, and good cooperation between different instructors and course coordinator. However, within the time this method

A novel approach to locomotion learning: Actor-Critic architecture using central pattern generators and dynamic motor primitives.

Science.gov (United States)

Li, Cai; Lowe, Robert; Ziemke, Tom

2014-01-01

In this article, we propose an architecture of a bio-inspired controller that addresses the problem of learning different locomotion gaits for different robot morphologies. The modeling objective is split into two: baseline motion modeling and dynamics adaptation. Baseline motion modeling aims to achieve fundamental functions of a certain type of locomotion and dynamics adaptation provides a "reshaping" function for adapting the baseline motion to desired motion. Based on this assumption, a three-layer architecture is developed using central pattern generators (CPGs, a bio-inspired locomotor center for the baseline motion) and dynamic motor primitives (DMPs, a model with universal "reshaping" functions). In this article, we use this architecture with the actor-critic algorithms for finding a good "reshaping" function. In order to demonstrate the learning power of the actor-critic based architecture, we tested it on two experiments: (1) learning to crawl on a humanoid and, (2) learning to gallop on a puppy robot. Two types of actor-critic algorithms (policy search and policy gradient) are compared in order to evaluate the advantages and disadvantages of different actor-critic based learning algorithms for different morphologies. Finally, based on the analysis of the experimental results, a generic view/architecture for locomotion learning is discussed in the conclusion.

A Novel Approach to Locomotion Learning: Actor-Critic Architecture using Central Pattern Generators and Dynamic Motor Primitives

Directory of Open Access Journals (Sweden)

Cai eLi

2014-10-01

Full Text Available In this article, we propose an architecture of a bio-inspired controller that addresses the problem of learning different locomotion gaits for different robot morphologies. The modelling objective is split into two: baseline motion modelling and dynamics adaptation. Baseline motion modelling aims to achieve fundamental functions of a certain type of locomotion and dynamics adaptation provides a ``reshaping function for adapting the baseline motion to desired motion. Based on this assumption, a three-layer architecture is developed using central pattern generators (CPGs, a bio-inspired locomotor center for the the baseline motion and dynamic motor primitives (DMPs, a model with universal ``reshaping functions. In this article, we use this architecture with the actor-critic algorithms for finding a good ``reshaping function. In order to demonstrate the learning power of the actor-critic based architecture, we tested it on two experiments: 1 learning to crawl on a humanoid and, 2 learning to gallop on a puppy robot. Two types of actor-critic algorithms (policy search and policy gradient are compared in order to evaluate the advantages and disadvantages of different actor-critic based learning algorithms for different morphologies. Finally, based on the analysis of the experimental results, a generic view/architecture for locomotion learning is discussed in the conclusion.

Deep learning architectures for multi-label classification of intelligent health risk prediction.

Science.gov (United States)

Maxwell, Andrew; Li, Runzhi; Yang, Bei; Weng, Heng; Ou, Aihua; Hong, Huixiao; Zhou, Zhaoxian; Gong, Ping; Zhang, Chaoyang

2017-12-28

Multi-label classification of data remains to be a challenging problem. Because of the complexity of the data, it is sometimes difficult to infer information about classes that are not mutually exclusive. For medical data, patients could have symptoms of multiple different diseases at the same time and it is important to develop tools that help to identify problems early. Intelligent health risk prediction models built with deep learning architectures offer a powerful tool for physicians to identify patterns in patient data that indicate risks associated with certain types of chronic diseases. Physical examination records of 110,300 anonymous patients were used to predict diabetes, hypertension, fatty liver, a combination of these three chronic diseases, and the absence of disease (8 classes in total). The dataset was split into training (90%) and testing (10%) sub-datasets. Ten-fold cross validation was used to evaluate prediction accuracy with metrics such as precision, recall, and F-score. Deep Learning (DL) architectures were compared with standard and state-of-the-art multi-label classification methods. Preliminary results suggest that Deep Neural Networks (DNN), a DL architecture, when applied to multi-label classification of chronic diseases, produced accuracy that was comparable to that of common methods such as Support Vector Machines. We have implemented DNNs to handle both problem transformation and algorithm adaption type multi-label methods and compare both to see which is preferable. Deep Learning architectures have the potential of inferring more information about the patterns of physical examination data than common classification methods. The advanced techniques of Deep Learning can be used to identify the significance of different features from physical examination data as well as to learn the contributions of each feature that impact a patient's risk for chronic diseases. However, accurate prediction of chronic disease risks remains a challenging

Experiencing a Problem-Based Learning Approach for Teaching Reconfigurable Architecture Design

Directory of Open Access Journals (Sweden)

Erwan Fabiani

2009-01-01

Full Text Available This paper presents the “reconfigurable computing” teaching part of a computer science master course (first year on parallel architectures. The practical work sessions of this course rely on active pedagogy using problem-based learning, focused on designing a reconfigurable architecture for the implementation of an application class of image processing algorithms. We show how the successive steps of this project permit the student to experiment with several fundamental concepts of reconfigurable computing at different levels. Specific experiments include exploitation of architectural parallelism, dataflow and communicating component-based design, and configurability-specificity tradeoffs.

An Architecture Combining IMS-LD and Web Services for Flexible Data-Transfer in CSCL

Science.gov (United States)

Magnisalis, Ioannis; Demetriadis, Stavros

2017-01-01

This article presents evaluation data regarding the MAPIS3 architecture which is proposed as a solution for the data-transfer among various tools to promote flexible collaborative learning designs. We describe the problem that this architecture deals with as "tool orchestration" in collaborative learning settings. This term refers to a…

Defining a Set of Architectural Requirements for Service-Oriented Mobile Learning Environments

Science.gov (United States)

Filho, Nemésio Freitas Duarte; Barbosa, Ellen Francine

2014-01-01

Even providing several benefits and facilities with regard to teaching and learning, mobile learning environments present problems and challenges that must be investigated, especially with respect to the definition and standardization of architectural aspects. Most of these environments are still built in isolation, with particular structures and…

Building Quality into Learning Management Systems – An Architecture-Centric Approach

OpenAIRE

Avgeriou, P.; Retalis, Simos; Skordalakis, Manolis

2003-01-01

The design and development of contemporary Learning Management Systems (LMS), is largely focused on satisfying functional requirements, rather than quality requirements, thus resulting in inefficient systems of poor software and business quality. In order to remedy this problem there is a research trend into specifying and evaluating software architectures for LMS, since quality at-tributes in a system depend profoundly on its architecture. This paper presents a case study of appraising the s...

Architecture and Stages

DEFF Research Database (Denmark)

Kiib, Hans

2009-01-01

as "experiencescape" - a space between tourism, culture, learning and economy. Strategies related to these challenges involve new architectural concepts and art as ‘engines' for a change. New expressive architecture and old industrial buildings are often combined into hybrid narratives, linking the past...... with the future. But this is not enough. The agenda is to develop architectural spaces, where social interaction and learning are enhanced by art and fun. How can we develop new architectural designs in our inner cities and waterfronts where eventscapes, learning labs and temporal use are merged with everyday...

A Layered Component-Based Architecture of a Virtual Learning Environment

NARCIS (Netherlands)

Avgeriou, Paris; Retalis, Simos; Skordalakis, Manolis; Psaromiligos, Yiannis

2001-01-01

There exists an urgent demand on defining architectures for Virtual Learning Environments (VLEs), so that high-level frameworks for understanding these systems can be discovered, portability, interoperability and reusability can be achieved and adaptability over time can be accomplished. In this

Architectural prototyping

DEFF Research Database (Denmark)

Bardram, Jakob Eyvind; Christensen, Henrik Bærbak; Hansen, Klaus Marius

2004-01-01

A major part of software architecture design is learning how specific architectural designs balance the concerns of stakeholders. We explore the notion of "architectural prototypes", correspondingly architectural prototyping, as a means of using executable prototypes to investigate stakeholders...

Semantic Web-Driven LMS Architecture towards a Holistic Learning Process Model Focused on Personalization

Science.gov (United States)

Kerkiri, Tania

2010-01-01

A comprehensive presentation is here made on the modular architecture of an e-learning platform with a distinctive emphasis on content personalization, combining advantages from semantic web technology, collaborative filtering and recommendation systems. Modules of this architecture handle information about both the domain-specific didactic…

Architectural Design and the Learning Environment: A Framework for School Design Research

Science.gov (United States)

Gislason, Neil

2010-01-01

This article develops a theoretical framework for studying how instructional space, teaching and learning are related in practice. It is argued that a school's physical design can contribute to the quality of the learning environment, but several non-architectural factors also determine how well a given facility serves as a setting for teaching…

The Appearance and Disappearance of the Term Nieuwe Zakelijkheid in Dutch Modern Architecture

NARCIS (Netherlands)

Rebel, B.; Grüttemeier, R.; Beekman, K.; Rebel, B.

2013-01-01

Although modern architecture was indicated with different terms such as Modern Architecture, Rationalism, Functionalism, Modern Movement, Neue Sachlichkeit and Neues Bauen, the Dutch modern architects had a strong preference for the translations of the last two: Nieuwe Zakelijkheid and Nieuwe

Learning sequential control in a Neural Blackboard Architecture for in situ concept reasoning

NARCIS (Netherlands)

van der Velde, Frank; van der Velde, Frank; Besold, Tarek R.; Lamb, Luis; Serafini, Luciano; Tabor, Whitney

2016-01-01

Simulations are presented and discussed of learning sequential control in a Neural Blackboard Architecture (NBA) for in situ concept-based reasoning. Sequential control is learned in a reservoir network, consisting of columns with neural circuits. This allows the reservoir to control the dynamics of

A Blended Learning Approach to the Teaching of Professional Practice in Architecture

Directory of Open Access Journals (Sweden)

Murray Lane

2015-05-01

Full Text Available This paper reports on a number of blended learning activities conducted in two subjects of a Master of Architecture degree at a major Australian university. The subjects were related to “professional practice” and as such represent a little researched area of architectural curriculum. The research provides some insight into the student perceptions of learning opportunity and engagement associated with on-line delivery modes. Students from these two subjects were surveyed for their perceptions about the opportunity for learning afforded by the on-line components, and also for their perceived level of engagement. Responses to these perceptions of traditional and on-line modes of delivery are compared and analysed for significant differences. While students were generally positive in response to the learning experiences, analysis of the results shows that students found the traditional modes to assist in their learning significantly more than on-line modes. Students were neutral regarding the opportunity for engagement that on-line modes provided. Analysis of the students’ gender, age and hours of paid work was also conducted to ascertain any relationship with attitudes to the flexibility of on-line delivery; no significant relationship was detected. This study has shown that students were generally resistant to on-line engagement opportunities and their ability to support learning.

Evaluation of a deep learning architecture for MR imaging prediction of ATRX in glioma patients

Science.gov (United States)

Korfiatis, Panagiotis; Kline, Timothy L.; Erickson, Bradley J.

2018-02-01

Predicting mutation/loss of alpha-thalassemia/mental retardation syndrome X-linked (ATRX) gene utilizing MR imaging is of high importance since it is a predictor of response and prognosis in brain tumors. In this study, we compare a deep neural network approach based on a residual deep neural network (ResNet) architecture and one based on a classical machine learning approach and evaluate their ability in predicting ATRX mutation status without the need for a distinct tumor segmentation step. We found that the ResNet50 (50 layers) architecture, pre trained on ImageNet data was the best performing model, achieving an accuracy of 0.91 for the test set (classification of a slice as no tumor, ATRX mutated, or mutated) in terms of f1 score in a test set of 35 cases. The SVM classifier achieved 0.63 for differentiating the Flair signal abnormality regions from the test patients based on their mutation status. We report a method that alleviates the need for extensive preprocessing and acts as a proof of concept that deep neural network architectures can be used to predict molecular biomarkers from routine medical images.

Establishment of a Digital Knowledge Conversion Architecture Design Learning with High User Acceptance

Science.gov (United States)

Wu, Yun-Wu; Weng, Apollo; Weng, Kuo-Hua

2017-01-01

The purpose of this study is to design a knowledge conversion and management digital learning system for architecture design learning, helping students to share, extract, use and create their design knowledge through web-based interactive activities based on socialization, internalization, combination and externalization process in addition to…

Meta-Design and the Triple Learning Organization in Architectural Design Process

Science.gov (United States)

Barelkowski, Robert

2017-10-01

The paper delves into the improvement of Meta-Design methodology being the result of implementation of triple learning organization. Grown from the concept of reflective practice, it offers an opportunity to segregate and hierarchize both criteria and knowledge management and at least twofold application. It induces constant feedback loops recharging the basic level of “design” with second level of “learning from design” and third level of “learning from learning”. While learning from design reflects the absorption of knowledge, structuralization of skills, management of information, learning from learning gives deeper understanding and provides axiological perspective which is necessary when combining cultural, social, and abstract conceptual problems. The second level involves multidisciplinary applications imported from many engineering disciplines, technical sciences, but also psychological background, or social environment. The third level confronts these applications with their respective sciences (wide extra-architectural knowledge) and axiological issues. This distinction may be represented in difference between e.g. purposeful, systemic use of participatory design which again generates experience-by-doing versus use of disciplinary knowledge starting from its theoretical framework, then narrowed down to be relevant to particular design task. The paper discusses the application in two cases: awarded competition proposal of Digital Arts Museum in Madrid and BAIRI university building. Both cases summarize the effects of implementation and expose the impact of triple-loop knowledge circles onto design, teaching the architect or helping them to learn how to manage information flows and how to accommodate paradigm shifts in the architectural design process.

Exploring Architectures for Fast and Easy Development of Immersive Learning Scenarios

NARCIS (Netherlands)

Nadolski, Rob; Slootmaker, Aad; Hummel, Hans

2009-01-01

Nadolski, R. J., Slootmaker, A., & Hummel, H. G. K. (2009). Exploring Architectures for Fast and Easy Development of Immersive Learning Scenarios. Presentation given at Online Educa. December, 3-4, 2009, Berlin, Germany. [For Powerpoint-version of this presentation. Please

The visual simulators for architecture and computer organization learning

OpenAIRE

Nikolić Boško; Grbanović Nenad; Đorđević Jovan

2009-01-01

The paper proposes a method of an effective distance learning of architecture and computer organization. The proposed method is based on a software system that is possible to be applied in any course in this field. Within this system students are enabled to observe simulation of already created computer systems. The system provides creation and simulation of switch systems, too.

Organizational Learning Supported by Reference Architecture Models

DEFF Research Database (Denmark)

Nardello, Marco; Møller, Charles; Gøtze, John

2017-01-01

The wave of the fourth industrial revolution (Industry 4.0) is bringing a new vision of the manufacturing industry. In manufacturing, one of the buzzwords of the moment is “Smart production”. Smart production involves manufacturing equipment with many sensors that can generate and transmit large...... amounts of data. These data and information from manufacturing operations are however not shared in the organization. Therefore the organization is not using them to learn and improve their operations. To address this problem, the authors implemented in an Industry 4.0 laboratory an instance...... of an emerging technical standard specific for the manufacturing industry. Global manufacturing experts consider the Reference Architecture Model Industry 4.0 (RAMI4.0) as one of the corner stones for the implementation of Industry 4.0. The instantiation contributed to organizational learning in the laboratory...

A "Knowledge Trading Game" for Collaborative Design Learning in an Architectural Design Studio

Science.gov (United States)

Wang, Wan-Ling; Shih, Shen-Guan; Chien, Sheng-Fen

2010-01-01

Knowledge-sharing and resource exchange are the key to the success of collaborative design learning. In an architectural design studio, design knowledge entails learning efforts that need to accumulate and recombine dispersed and complementary pieces of knowledge. In this research, firstly, "Knowledge Trading Game" is proposed to be a way for…

Web-service architecture for tools supporting life-long e-Learning platforms

NARCIS (Netherlands)

Dimov, Alexander; Stefanov, Krassen

2009-01-01

Dimov, A., & Stefanov, K. (2008). Web-service architecture for tools supporting life-long e-Learning platforms. In R. Koper, K. Stefanov & D. Dicheva (Eds.), Proceedings of the 5th International TENCompetence Open Workshop "Stimulating Personal Development and Knowledge Sharing" (pp. 67-71).

A SCORM Thin Client Architecture for E-Learning Systems Based on Web Services

Science.gov (United States)

Casella, Giovanni; Costagliola, Gennaro; Ferrucci, Filomena; Polese, Giuseppe; Scanniello, Giuseppe

2007-01-01

In this paper we propose an architecture of e-learning systems characterized by the use of Web services and a suitable middleware component. These technical infrastructures allow us to extend the system with new services as well as to integrate and reuse heterogeneous software e-learning components. Moreover, they let us better support the…

A Mobile Service Oriented Multiple Object Tracking Augmented Reality Architecture for Education and Learning Experiences

Science.gov (United States)

Rattanarungrot, Sasithorn; White, Martin; Newbury, Paul

2014-01-01

This paper describes the design of our service-oriented architecture to support mobile multiple object tracking augmented reality applications applied to education and learning scenarios. The architecture is composed of a mobile multiple object tracking augmented reality client, a web service framework, and dynamic content providers. Tracking of…

Learning based upon projects of architectural conservation: from university to real life

OpenAIRE

Mileto, Camilla; Vegas López-Manzanares, Fernando; Cristini, Valentina; Diodato, Maria

2011-01-01

Mileto, C.; Vegas López-Manzanares, F.; Cristini, V.; Diodato, M. (2011). Learning based upon projects of architectural conservation: from university to real life. IATED. 1-8. http://hdl.handle.net/10251/50072 Senia 1 8

Architecture for robot intelligence

Science.gov (United States)

Peters, II, Richard Alan (Inventor)

2004-01-01

An architecture for robot intelligence enables a robot to learn new behaviors and create new behavior sequences autonomously and interact with a dynamically changing environment. Sensory information is mapped onto a Sensory Ego-Sphere (SES) that rapidly identifies important changes in the environment and functions much like short term memory. Behaviors are stored in a DBAM that creates an active map from the robot's current state to a goal state and functions much like long term memory. A dream state converts recent activities stored in the SES and creates or modifies behaviors in the DBAM.

Long-term associative learning predicts verbal short-term memory performance

OpenAIRE

Jones, Gary; Macken, Bill

2017-01-01

Studies using tests such as digit span and nonword repetition have implicated short-term memory across a range of developmental domains. Such tests ostensibly assess specialized processes for the short-term manipulation and maintenance of information that are often argued to enable long-term learning. However, there is considerable evidence for an influence of long-term linguistic learning on performance in short-term memory tasks that brings into question the role of a specialized short-term...

The Hybrid Studio--Introducing Google+ as a Blended Learning Platform for Architectural Design Studio Teaching

Science.gov (United States)

Steinø, Nicolai; Khalid, Md. Saufuddin

2017-01-01

Much architecture and design teaching is based on the studio format, where the co-presence in time and space of students, instructors and physical learning artefacts form a triangle from which the learning emerges. Yet with the advent of online communication platforms and learning management systems (LMS), there is reason to study how these…

Long-term associative learning predicts verbal short-term memory performance.

Science.gov (United States)

Jones, Gary; Macken, Bill

2018-02-01

Studies using tests such as digit span and nonword repetition have implicated short-term memory across a range of developmental domains. Such tests ostensibly assess specialized processes for the short-term manipulation and maintenance of information that are often argued to enable long-term learning. However, there is considerable evidence for an influence of long-term linguistic learning on performance in short-term memory tasks that brings into question the role of a specialized short-term memory system separate from long-term knowledge. Using natural language corpora, we show experimentally and computationally that performance on three widely used measures of short-term memory (digit span, nonword repetition, and sentence recall) can be predicted from simple associative learning operating on the linguistic environment to which a typical child may have been exposed. The findings support the broad view that short-term verbal memory performance reflects the application of long-term language knowledge to the experimental setting.

Deep ECGNet: An Optimal Deep Learning Framework for Monitoring Mental Stress Using Ultra Short-Term ECG Signals.

Science.gov (United States)

Hwang, Bosun; You, Jiwoo; Vaessen, Thomas; Myin-Germeys, Inez; Park, Cheolsoo; Zhang, Byoung-Tak

2018-02-08

Stress recognition using electrocardiogram (ECG) signals requires the intractable long-term heart rate variability (HRV) parameter extraction process. This study proposes a novel deep learning framework to recognize the stressful states, the Deep ECGNet, using ultra short-term raw ECG signals without any feature engineering methods. The Deep ECGNet was developed through various experiments and analysis of ECG waveforms. We proposed the optimal recurrent and convolutional neural networks architecture, and also the optimal convolution filter length (related to the P, Q, R, S, and T wave durations of ECG) and pooling length (related to the heart beat period) based on the optimization experiments and analysis on the waveform characteristics of ECG signals. The experiments were also conducted with conventional methods using HRV parameters and frequency features as a benchmark test. The data used in this study were obtained from Kwangwoon University in Korea (13 subjects, Case 1) and KU Leuven University in Belgium (9 subjects, Case 2). Experiments were designed according to various experimental protocols to elicit stressful conditions. The proposed framework to recognize stress conditions, the Deep ECGNet, outperformed the conventional approaches with the highest accuracy of 87.39% for Case 1 and 73.96% for Case 2, respectively, that is, 16.22% and 10.98% improvements compared with those of the conventional HRV method. We proposed an optimal deep learning architecture and its parameters for stress recognition, and the theoretical consideration on how to design the deep learning structure based on the periodic patterns of the raw ECG data. Experimental results in this study have proved that the proposed deep learning model, the Deep ECGNet, is an optimal structure to recognize the stress conditions using ultra short-term ECG data.

Long-Term Memory and Learning

Science.gov (United States)

Crossland, John

2011-01-01

The English National Curriculum Programmes of Study emphasise the importance of knowledge, understanding and skills, and teachers are well versed in structuring learning in those terms. Research outcomes into how long-term memory is stored and retrieved provide support for structuring learning in this way. Four further messages are added to the…

Evaluating the Instructional Architecture of Web-Based Learning Tools (WBLTs): Direct Instruction vs. Constructivism Revisited

Science.gov (United States)

Kay, Robin

2013-01-01

Web-based learning tools (WBLTs), also known as learning objects, have been evaluated with a wide range of metrics, but rarely with respect to pedagogical design. The current study evaluated the impact of instructional architecture (direct instruction vs. constructive-based) on middle (n = 333)

Architectural slicing

DEFF Research Database (Denmark)

Christensen, Henrik Bærbak; Hansen, Klaus Marius

2013-01-01

Architectural prototyping is a widely used practice, con- cerned with taking architectural decisions through experiments with light- weight implementations. However, many architectural decisions are only taken when systems are already (partially) implemented. This is prob- lematic in the context...... of architectural prototyping since experiments with full systems are complex and expensive and thus architectural learn- ing is hindered. In this paper, we propose a novel technique for harvest- ing architectural prototypes from existing systems, \\architectural slic- ing", based on dynamic program slicing. Given...... a system and a slicing criterion, architectural slicing produces an architectural prototype that contain the elements in the architecture that are dependent on the ele- ments in the slicing criterion. Furthermore, we present an initial design and implementation of an architectural slicer for Java....

Design, Analysis and User Acceptance of Architectural Design Education in Learning System Based on Knowledge Management Theory

Science.gov (United States)

Wu, Yun-Wu; Lin, Yu-An; Wen, Ming-Hui; Perng, Yeng-Hong; Hsu, I-Ting

2016-01-01

The major purpose of this study is to develop an architectural design knowledge management learning system with corresponding learning activities to help the students have meaningful learning and improve their design capability in their learning process. Firstly, the system can help the students to obtain and share useful knowledge. Secondly,…

SchNet - A deep learning architecture for molecules and materials

Science.gov (United States)

Schütt, K. T.; Sauceda, H. E.; Kindermans, P.-J.; Tkatchenko, A.; Müller, K.-R.

2018-06-01

Deep learning has led to a paradigm shift in artificial intelligence, including web, text, and image search, speech recognition, as well as bioinformatics, with growing impact in chemical physics. Machine learning, in general, and deep learning, in particular, are ideally suitable for representing quantum-mechanical interactions, enabling us to model nonlinear potential-energy surfaces or enhancing the exploration of chemical compound space. Here we present the deep learning architecture SchNet that is specifically designed to model atomistic systems by making use of continuous-filter convolutional layers. We demonstrate the capabilities of SchNet by accurately predicting a range of properties across chemical space for molecules and materials, where our model learns chemically plausible embeddings of atom types across the periodic table. Finally, we employ SchNet to predict potential-energy surfaces and energy-conserving force fields for molecular dynamics simulations of small molecules and perform an exemplary study on the quantum-mechanical properties of C20-fullerene that would have been infeasible with regular ab initio molecular dynamics.

Long-term knowledge acquisition using contextual information in a memory-inspired robot architecture

Science.gov (United States)

Pratama, Ferdian; Mastrogiovanni, Fulvio; Lee, Soon Geul; Chong, Nak Young

2017-03-01

In this paper, we present a novel cognitive framework allowing a robot to form memories of relevant traits of its perceptions and to recall them when necessary. The framework is based on two main principles: on the one hand, we propose an architecture inspired by current knowledge in human memory organisation; on the other hand, we integrate such an architecture with the notion of context, which is used to modulate the knowledge acquisition process when consolidating memories and forming new ones, as well as with the notion of familiarity, which is employed to retrieve proper memories given relevant cues. Although much research has been carried out, which exploits Machine Learning approaches to provide robots with internal models of their environment (including objects and occurring events therein), we argue that such approaches may not be the right direction to follow if a long-term, continuous knowledge acquisition is to be achieved. As a case study scenario, we focus on both robot-environment and human-robot interaction processes. In case of robot-environment interaction, a robot performs pick and place movements using the objects in the workspace, at the same time observing their displacement on a table in front of it, and progressively forms memories defined as relevant cues (e.g. colour, shape or relative position) in a context-aware fashion. As far as human-robot interaction is concerned, the robot can recall specific snapshots representing past events using both sensory information and contextual cues upon request by humans.

Architectural and Functional Design and Evaluation of E-Learning VUIS Based on the Proposed IEEE LTSA Reference Model.

Science.gov (United States)

O'Droma, Mairtin S.; Ganchev, Ivan; McDonnell, Fergal

2003-01-01

Presents a comparative analysis from the Institute of Electrical and Electronics Engineers (IEEE) Learning Technology Standards Committee's (LTSC) of the architectural and functional design of e-learning delivery platforms and applications, e-learning course authoring tools, and learning management systems (LMSs), with a view of assessing how…

Integrating Blended and Problem-Based Learning into an Architectural Housing Design Studio: A Case Study

Science.gov (United States)

Bregger, Yasemin Alkiser

2017-01-01

This paper presents how a blended learning pedagogic model is integrated into an architectural design studio by adapting the problem-based learning process and housing issues in Istanbul Technical University (ITU), during fall 2015 and spring 2016 semesters for fourth and sixth level students. These studios collaborated with the "Introduction…

Outline of a novel architecture for cortical computation.

Science.gov (United States)

Majumdar, Kaushik

2008-03-01

In this paper a novel architecture for cortical computation has been proposed. This architecture is composed of computing paths consisting of neurons and synapses. These paths have been decomposed into lateral, longitudinal and vertical components. Cortical computation has then been decomposed into lateral computation (LaC), longitudinal computation (LoC) and vertical computation (VeC). It has been shown that various loop structures in the cortical circuit play important roles in cortical computation as well as in memory storage and retrieval, keeping in conformity with the molecular basis of short and long term memory. A new learning scheme for the brain has also been proposed and how it is implemented within the proposed architecture has been explained. A few mathematical results about the architecture have been proposed, some of which are without proof.

Learning Vicariously: Tourism, Orientalism and the Making of an Architectural Photography Collection of Egypt

Directory of Open Access Journals (Sweden)

Elvan Cobb

2017-01-01

Full Text Available Andrew Dickson White, the first president of Cornell University in the United States, referred to architecture as his 'pet extravagance.' Leveraging his influential position as president, White was instrumental in the establishment of the architecture department in 1871. One of his noteworthy contributions to this newly founded department was the initiation of an architectural photography collection that was a direct result of his travels around the world as a diplomat, a scholar and, eventually, as a tourist. This architectural photography collection formed the core of the architectural history education at the school well into the 20th century. At that time, photographs provided one of the only ways for students to learn about the architecture of distant places. White’s selection of architectural subjects, however, was shaped not through deep scholarly inquiry, but rather by the nascent tourist industry. This paper examines White's Egyptian collection, acquired during his voyage to Egypt in 1889. His trip to Egypt, in his own words “marked a new epoch in [his] thinking.” Encountering the 'east' for the first time, White's photography collection both bolstered and challenged the prescribed ways of viewing Egypt and Egyptian architecture, thus having a direct influence on how Cornell students perceived the historic built environment of the ‘east’.

Magnetic Tunnel Junction Based Long-Term Short-Term Stochastic Synapse for a Spiking Neural Network with On-Chip STDP Learning

Science.gov (United States)

Srinivasan, Gopalakrishnan; Sengupta, Abhronil; Roy, Kaushik

2016-07-01

Spiking Neural Networks (SNNs) have emerged as a powerful neuromorphic computing paradigm to carry out classification and recognition tasks. Nevertheless, the general purpose computing platforms and the custom hardware architectures implemented using standard CMOS technology, have been unable to rival the power efficiency of the human brain. Hence, there is a need for novel nanoelectronic devices that can efficiently model the neurons and synapses constituting an SNN. In this work, we propose a heterostructure composed of a Magnetic Tunnel Junction (MTJ) and a heavy metal as a stochastic binary synapse. Synaptic plasticity is achieved by the stochastic switching of the MTJ conductance states, based on the temporal correlation between the spiking activities of the interconnecting neurons. Additionally, we present a significance driven long-term short-term stochastic synapse comprising two unique binary synaptic elements, in order to improve the synaptic learning efficiency. We demonstrate the efficacy of the proposed synaptic configurations and the stochastic learning algorithm on an SNN trained to classify handwritten digits from the MNIST dataset, using a device to system-level simulation framework. The power efficiency of the proposed neuromorphic system stems from the ultra-low programming energy of the spintronic synapses.

Service Oriented Robotic Architecture for Space Robotics: Design, Testing, and Lessons Learned

Science.gov (United States)

Fluckiger, Lorenzo Jean Marc E; Utz, Hans Heinrich

2013-01-01

This paper presents the lessons learned from six years of experiments with planetary rover prototypes running the Service Oriented Robotic Architecture (SORA) developed by the Intelligent Robotics Group (IRG) at the NASA Ames Research Center. SORA relies on proven software engineering methods and technologies applied to space robotics. Based on a Service Oriented Architecture and robust middleware, SORA encompasses on-board robot control and a full suite of software tools necessary for remotely operated exploration missions. SORA has been eld tested in numerous scenarios of robotic lunar and planetary exploration. The experiments conducted by IRG with SORA exercise a large set of the constraints encountered in space applications: remote robotic assets, ight relevant science instruments, distributed operations, high network latencies and unreliable or intermittent communication links. In this paper, we present the results of these eld tests in regard to the developed architecture, and discuss its bene ts and limitations.

ARCHITECTURES FOR DISTRIBUTED AND COMPLEX M-LEARNING SYSTEMS: Applying Intelligent Technologies.

Directory of Open Access Journals (Sweden)

Ozlem OZAN,

2010-04-01

Full Text Available Today mobile technologies have become an integral part of the learning activities. With mobile technologies ―Any time, anywhere, any device‖ promise of e-learning is going to become actually applicable and mobile technologies are going to provide opportunities to be ―always on‖ and connected for twenty-first century learners and to get information on demand with ―just enough, just in time, and just for me‖ approach (Yamamoto, Ozan, & Demiray, 2010. Mobile technology includes both hardware and networking applications; hence both of them are necessary for the existence of m-Learning. Today one of the big challenges of mobile learning is technical issues. This book provides case studies and solution about technical applications of mobile learning.The book's broader audience is anyone who is interested in mobile learning systems‘ architecture. Beside this, it gives valuable information for mobile learning designers.The book is edited by The book is edited by Angel Juan , Thanasis Daradoumis, Fatos Xhafa and Santi Caballé. Angel A. Juan is an associate professor of simulation and data analysis in the computer sciences department at the Open University of Catalonia (Spain.Thanasis Daradoumis is an associate professor

Space and Architecture's Current Line of Research? A Lunar Architecture Workshop With An Architectural Agenda.

Science.gov (United States)

Solomon, D.; van Dijk, A.

The "2002 ESA Lunar Architecture Workshop" (June 3-16) ESTEC, Noordwijk, NL and V2_Lab, Rotterdam, NL) is the first-of-its-kind workshop for exploring the design of extra-terrestrial (infra) structures for human exploration of the Moon and Earth-like planets introducing 'architecture's current line of research', and adopting an architec- tural criteria. The workshop intends to inspire, engage and challenge 30-40 European masters students from the fields of aerospace engineering, civil engineering, archi- tecture, and art to design, validate and build models of (infra) structures for Lunar exploration. The workshop also aims to open up new physical and conceptual terrain for an architectural agenda within the field of space exploration. A sound introduc- tion to the issues, conditions, resources, technologies, and architectural strategies will initiate the workshop participants into the context of lunar architecture scenarios. In my paper and presentation about the development of the ideology behind this work- shop, I will comment on the following questions: * Can the contemporary architectural agenda offer solutions that affect the scope of space exploration? It certainly has had an impression on urbanization and colonization of previously sparsely populated parts of Earth. * Does the current line of research in architecture offer any useful strategies for com- bining scientific interests, commercial opportunity, and public space? What can be learned from 'state of the art' architecture that blends commercial and public pro- grammes within one location? * Should commercial 'colonisation' projects in space be required to provide public space in a location where all humans present are likely to be there in a commercial context? Is the wave in Koolhaas' new Prada flagship store just a gesture to public space, or does this new concept in architecture and shopping evolve the public space? * What can we learn about designing (infra-) structures on the Moon or any other

A Passive Learning Sensor Architecture for Multimodal Image Labeling: An Application for Social Robots

Directory of Open Access Journals (Sweden)

Marco A. Gutiérrez

2017-02-01

Full Text Available Object detection and classification have countless applications in human–robot interacting systems. It is a necessary skill for autonomous robots that perform tasks in household scenarios. Despite the great advances in deep learning and computer vision, social robots performing non-trivial tasks usually spend most of their time finding and modeling objects. Working in real scenarios means dealing with constant environment changes and relatively low-quality sensor data due to the distance at which objects are often found. Ambient intelligence systems equipped with different sensors can also benefit from the ability to find objects, enabling them to inform humans about their location. For these applications to succeed, systems need to detect the objects that may potentially contain other objects, working with relatively low-resolution sensor data. A passive learning architecture for sensors has been designed in order to take advantage of multimodal information, obtained using an RGB-D camera and trained semantic language models. The main contribution of the architecture lies in the improvement of the performance of the sensor under conditions of low resolution and high light variations using a combination of image labeling and word semantics. The tests performed on each of the stages of the architecture compare this solution with current research labeling techniques for the application of an autonomous social robot working in an apartment. The results obtained demonstrate that the proposed sensor architecture outperforms state-of-the-art approaches.

Framewise phoneme classification with bidirectional LSTM and other neural network architectures.

Science.gov (United States)

Graves, Alex; Schmidhuber, Jürgen

2005-01-01

In this paper, we present bidirectional Long Short Term Memory (LSTM) networks, and a modified, full gradient version of the LSTM learning algorithm. We evaluate Bidirectional LSTM (BLSTM) and several other network architectures on the benchmark task of framewise phoneme classification, using the TIMIT database. Our main findings are that bidirectional networks outperform unidirectional ones, and Long Short Term Memory (LSTM) is much faster and also more accurate than both standard Recurrent Neural Nets (RNNs) and time-windowed Multilayer Perceptrons (MLPs). Our results support the view that contextual information is crucial to speech processing, and suggest that BLSTM is an effective architecture with which to exploit it.

New Energy Architecture. Myanmar

Energy Technology Data Exchange (ETDEWEB)

NONE

2013-06-15

A global transition towards a new energy architecture is under way, driven by countries' need to respond to the changing dynamics of economic growth, environmental sustainability and energy security. The World Economic Forum, in collaboration with Accenture, has created the New Energy Architecture Initiative to address and accelerate this transition. The Initiative supports the development of national strategies and policy frameworks as countries seek to achieve the combined goals of energy security and access, sustainability, and economic growth and development. The World Economic Forum has formed a partnership with the Ministry of Energy of Myanmar to help apply the Initiative's approach to this developing and resource-rich nation. The Asian Development Bank and the World Economic Forum's Project Adviser, Accenture, have collaborated with the Forum on this consultation process, and have been supported by relevant government, industry and civil society stakeholders. The consultation process aims to understand the nation's current energy architecture challenges and provide an overview of a path to a New Energy Architecture through a series of insights. These insights could form the basis for a long-term multistakeholder roadmap to build Myanmar's energy sector in a way that is secure and sustainable, and promotes economic growth as the country makes its democratic transition. While not all recommendations can be implemented in the near term, they do provide options for creating a prioritized roadmap for Myanmar's energy transition. This report is the culmination of a nine-month multistakeholder process investigating Myanmar's energy architecture. Over the course of many visits to the country, the team has conducted numerous interviews, multistakeholder workshops, and learning and data-gathering exercises to ensure a comprehensive range of information and views. The team has also engaged with a variety of stakeholders to better inform their findings, which have come

New Energy Architecture. Myanmar

Energy Technology Data Exchange (ETDEWEB)

NONE

2013-06-15

A global transition towards a new energy architecture is under way, driven by countries' need to respond to the changing dynamics of economic growth, environmental sustainability and energy security. The World Economic Forum, in collaboration with Accenture, has created the New Energy Architecture Initiative to address and accelerate this transition. The Initiative supports the development of national strategies and policy frameworks as countries seek to achieve the combined goals of energy security and access, sustainability, and economic growth and development. The World Economic Forum has formed a partnership with the Ministry of Energy of Myanmar to help apply the Initiative's approach to this developing and resource-rich nation. The Asian Development Bank and the World Economic Forum's Project Adviser, Accenture, have collaborated with the Forum on this consultation process, and have been supported by relevant government, industry and civil society stakeholders. The consultation process aims to understand the nation's current energy architecture challenges and provide an overview of a path to a New Energy Architecture through a series of insights. These insights could form the basis for a long-term multistakeholder roadmap to build Myanmar's energy sector in a way that is secure and sustainable, and promotes economic growth as the country makes its democratic transition. While not all recommendations can be implemented in the near term, they do provide options for creating a prioritized roadmap for Myanmar's energy transition. This report is the culmination of a nine-month multistakeholder process investigating Myanmar's energy architecture. Over the course of many visits to the country, the team has conducted numerous interviews, multistakeholder workshops, and learning and data-gathering exercises to ensure a comprehensive range of information and views. The team has also engaged with a variety of stakeholders to better

Hybrid Experiential-Heuristic Cognitive Radio Engine Architecture and Implementation

Directory of Open Access Journals (Sweden)

Ashwin Amanna

2012-01-01

Full Text Available The concept of cognitive radio (CR focuses on devices that can sense their environment, adapt configuration parameters, and learn from past behaviors. Architectures tend towards simplified decision-making algorithms inspired by human cognition. Initial works defined cognitive engines (CEs founded on heuristics, such as genetic algorithms (GAs, and case-based reasoning (CBR experiential learning algorithms. This hybrid architecture enables both long-term learning, faster decisions based on past experience, and capability to still adapt to new environments. This paper details an autonomous implementation of a hybrid CBR-GA CE architecture on a universal serial radio peripheral (USRP software-defined radio focused on link adaptation. Details include overall process flow, case base structure/retrieval method, estimation approach within the GA, and hardware-software lessons learned. Unique solutions to realizing the concept include mechanisms for combining vector distance and past fitness into an aggregate quantification of similarity. Over-the-air performance under several interference conditions is measured using signal-to-noise ratio, packet error rate, spectral efficiency, and throughput as observable metrics. Results indicate that the CE is successfully able to autonomously change transmit power, modulation/coding, and packet size to maintain the link while a non-cognitive approach loses connectivity. Solutions to existing shortcomings are proposed for improving case-base searching and performance estimation methods.

Critical Success Factors in Crafting Strategic Architecture for E-Learning at HP University

Science.gov (United States)

Sharma, Kunal; Pandit, Pallvi; Pandit, Parul

2011-01-01

Purpose: The purpose of this paper is to outline the critical success factors for crafting a strategic architecture for e-learning at HP University. Design/methodology/approach: A descriptive survey type of research design was used. An empirical study was conducted on students enrolled with the International Centre for Distance and Open Learning…

Architecture for Multiple Interacting Robot Intelligences

Science.gov (United States)

Peters, Richard Alan, II (Inventor)

2008-01-01

An architecture for robot intelligence enables a robot to learn new behaviors and create new behavior sequences autonomously and interact with a dynamically changing environment. Sensory information is mapped onto a Sensory Ego-Sphere (SES) that rapidly identifies important changes in the environment and functions much like short term memory. Behaviors are stored in a database associative memory (DBAM) that creates an active map from the robot's current state to a goal state and functions much like long term memory. A dream state converts recent activities stored in the SES and creates or modifies behaviors in the DBAM.

A Cognitive Neural Architecture Able to Learn and Communicate through Natural Language.

Directory of Open Access Journals (Sweden)

Bruno Golosio

Full Text Available Communicative interactions involve a kind of procedural knowledge that is used by the human brain for processing verbal and nonverbal inputs and for language production. Although considerable work has been done on modeling human language abilities, it has been difficult to bring them together to a comprehensive tabula rasa system compatible with current knowledge of how verbal information is processed in the brain. This work presents a cognitive system, entirely based on a large-scale neural architecture, which was developed to shed light on the procedural knowledge involved in language elaboration. The main component of this system is the central executive, which is a supervising system that coordinates the other components of the working memory. In our model, the central executive is a neural network that takes as input the neural activation states of the short-term memory and yields as output mental actions, which control the flow of information among the working memory components through neural gating mechanisms. The proposed system is capable of learning to communicate through natural language starting from tabula rasa, without any a priori knowledge of the structure of phrases, meaning of words, role of the different classes of words, only by interacting with a human through a text-based interface, using an open-ended incremental learning process. It is able to learn nouns, verbs, adjectives, pronouns and other word classes, and to use them in expressive language. The model was validated on a corpus of 1587 input sentences, based on literature on early language assessment, at the level of about 4-years old child, and produced 521 output sentences, expressing a broad range of language processing functionalities.

Using an Analogical Thinking Model as an Instructional Tool to Improve Student Cognitive Ability in Architecture Design Learning Process

Science.gov (United States)

Wu, Yun-Wu; Weng, Kuo-Hua

2013-01-01

Lack of creativity is a problem often plaguing students from design-related departments. Therefore, this study is intended to incorporate analogical thinking in the education of architecture design to enhance students' learning and their future career performance. First, this study explores the three aspects of architecture design curricula,…

Influences of the Living World on Architectural Structures: An Analytical Insight

Directory of Open Access Journals (Sweden)

Gülcan MİNSOLMAZ YELER

2015-01-01

Full Text Available Structures in the nature motivate innovation in architectural and engineering disciplines in termsof aesthetical, functional and structural advantages. Using efficient, lightweight structural forms similar tothose in nature reduces material and energy usage and waste amount. In this sense, it can be clearly seenthat based on learning from nature in relation to meeting gradually increasing and changing requirementsthrough limited resources and creating modern structural designs, biomimicry will provide much morecontribution on architecture and related fields. In this direction, in the study based on comprehensiveliterature research, lots of varying living organisms in the nature have been analyzed in terms of structure;architectural structures developed by inspiring from natural structures have been sampled and influencesof solutions inspired from nature on architectural environment have been focused.

Architectural Design of a LMS with LTSA-Conformance

Science.gov (United States)

Sengupta, Souvik; Dasgupta, Ranjan

2017-01-01

This paper illustrates an approach for architectural design of a Learning Management System (LMS), which is verifiable against the Learning Technology System Architecture (LTSA) conformance rules. We introduce a new method for software architectural design that extends the Unified Modeling Language (UML) component diagram with the formal…

Stable architectures for deep neural networks

Science.gov (United States)

Haber, Eldad; Ruthotto, Lars

2018-01-01

Deep neural networks have become invaluable tools for supervised machine learning, e.g. classification of text or images. While often offering superior results over traditional techniques and successfully expressing complicated patterns in data, deep architectures are known to be challenging to design and train such that they generalize well to new data. Critical issues with deep architectures are numerical instabilities in derivative-based learning algorithms commonly called exploding or vanishing gradients. In this paper, we propose new forward propagation techniques inspired by systems of ordinary differential equations (ODE) that overcome this challenge and lead to well-posed learning problems for arbitrarily deep networks. The backbone of our approach is our interpretation of deep learning as a parameter estimation problem of nonlinear dynamical systems. Given this formulation, we analyze stability and well-posedness of deep learning and use this new understanding to develop new network architectures. We relate the exploding and vanishing gradient phenomenon to the stability of the discrete ODE and present several strategies for stabilizing deep learning for very deep networks. While our new architectures restrict the solution space, several numerical experiments show their competitiveness with state-of-the-art networks.

An Architecture for Interactive Target-Oriented e/m-Learning Systems

Directory of Open Access Journals (Sweden)

Cristina De Castro

2009-12-01

Full Text Available In this paper, an architecture is proposed for the development of an e/m-Learning system with the following features: (1 learning paths can be tailored to the user’s aims and, during the learning process, dynamically modified in order to meet his needs; (2 in context of m-Learning facilities, contents can be scaled and adapted to the user’s device and connection technology. As far as learning paths are concerned, each learner is allowed to specify his initial target and, if he decides to deepen some issues, is authorised to redefine such target over time. This process is guided by a “Path Decision Module” based on Petri Nets, which checks the user’s learning level and consequently decides whether further issues can be faced or not. As for access to the system, the following scenarios are considered: UMTS (e.g.: for PDAs, DSL (e.g.: at home, WiFi (e.g.: within study lounges and libraries, wired/fiber (e.g.: within laboratories. In order to satisfy such heterogeneous requirements, contents are dynamically adapted to available technologies by means of on the fly data format conversions. The whole system relies on a hybrid LDAP-SQL database, which benefits from the joint use of directory services and relational databases. LDAP is used for the storage of learning and assessment material, whereas dynamical paths are stored in the SQL system. Analytical calculations are also presented which show the access time in each scenario and, consequently, if a certain activity can be carried out or not efficiently.

Architectural frameworks: defining the structures for implementing learning health systems.

Science.gov (United States)

Lessard, Lysanne; Michalowski, Wojtek; Fung-Kee-Fung, Michael; Jones, Lori; Grudniewicz, Agnes

2017-06-23

The vision of transforming health systems into learning health systems (LHSs) that rapidly and continuously transform knowledge into improved health outcomes at lower cost is generating increased interest in government agencies, health organizations, and health research communities. While existing initiatives demonstrate that different approaches can succeed in making the LHS vision a reality, they are too varied in their goals, focus, and scale to be reproduced without undue effort. Indeed, the structures necessary to effectively design and implement LHSs on a larger scale are lacking. In this paper, we propose the use of architectural frameworks to develop LHSs that adhere to a recognized vision while being adapted to their specific organizational context. Architectural frameworks are high-level descriptions of an organization as a system; they capture the structure of its main components at varied levels, the interrelationships among these components, and the principles that guide their evolution. Because these frameworks support the analysis of LHSs and allow their outcomes to be simulated, they act as pre-implementation decision-support tools that identify potential barriers and enablers of system development. They thus increase the chances of successful LHS deployment. We present an architectural framework for LHSs that incorporates five dimensions-goals, scientific, social, technical, and ethical-commonly found in the LHS literature. The proposed architectural framework is comprised of six decision layers that model these dimensions. The performance layer models goals, the scientific layer models the scientific dimension, the organizational layer models the social dimension, the data layer and information technology layer model the technical dimension, and the ethics and security layer models the ethical dimension. We describe the types of decisions that must be made within each layer and identify methods to support decision-making. In this paper, we outline

The Architecture Improvement Method: cost management and systematic learning about strategic product architectures

NARCIS (Netherlands)

de Weerd-Nederhof, Petronella C.; Wouters, Marc; Teuns, Steven J.A.; Hissel, Paul H.

2007-01-01

The architecture improvement method (AIM) is a method for multidisciplinary product architecture improvement, addressing uncertainty and complexity and incorporating feedback loops, facilitating trade-off decision making during the architecture creation process. The research reported in this paper

Architectural Narratives

DEFF Research Database (Denmark)

Kiib, Hans

2010-01-01

a functional framework for these concepts, but tries increasingly to endow the main idea of the cultural project with a spatially aesthetic expression - a shift towards “experience architecture.” A great number of these projects typically recycle and reinterpret narratives related to historical buildings......In this essay, I focus on the combination of programs and the architecture of cultural projects that have emerged within the last few years. These projects are characterized as “hybrid cultural projects,” because they intend to combine experience with entertainment, play, and learning. This essay...... and architectural heritage; another group tries to embed new performative technologies in expressive architectural representation. Finally, this essay provides a theoretical framework for the analysis of the political rationales of these projects and for the architectural representation bridges the gap between...

An introduction to Deep learning on biological sequence data - Examples and solutions

DEFF Research Database (Denmark)

Jurtz, Vanessa Isabell; Johansen, Alexander Rosenberg; Nielsen, Morten

2017-01-01

Deep neural network architectures such as convolutional and long short-term memory networks have become increasingly popular as machine learning tools during the recent years. The availability of greater computational resources, more data, new algorithms for training deep models and easy to use....... Here, we aim to further the development of deep learning methods within biology by providing application examples and ready to apply and adapt code templates. Given such examples, we illustrate how architectures consisting of convolutional and long short-term memory neural networks can relatively...

Appropriate teaching and learning strategies for the architectural design process in pedagogic design studios

Directory of Open Access Journals (Sweden)

Ashraf M. Soliman

2017-06-01

Full Text Available The national qualification framework of a country requires a certain level of knowledge and complexity of skills for an academic degree to be recognized. For architectural programs, student workload is heavy on design courses. Therefore, each course must be carefully developed to ensure that students are not overloaded. Teaching and learning strategies have different implications for courses, which occasionally result in overloading the students. This research aims to study the three main pillars of teaching and learning strategies for each design phase in pedagogic design studios. The most appropriate model for each teaching and learning strategy, including a set of the three main pillars, is then identified for each design phase. A practical strategy for managing design studios is also determined. The aforementioned three pillars are as follows: teaching and learning methods, assigned tasks or study aspects, and design communication techniques. Two research methods, namely, a literature review and a survey among design educators, are adopted. The literature review examines aspects that contribute to the design process and its phases, teaching methods, design skills, communication methods, and studio management strategies. On the basis of the literature review, the background of developments and practices in the design education process are used as constructive tools to develop the survey for design educators. Through the survey, the pillars of teaching and learning strategies that are frequently practiced in design studios are evaluated. Results of this study are classified into three ranks using the nature break classification method for numerical values. Subsequently, three priority models that correspond to teaching and learning strategies, as well as to the required skills and capabilities, are established. A group-based strategy with an interdisciplinary approach is also determined to be the most suitable technique for managing the

Architecture & Environment

Science.gov (United States)

Erickson, Mary; Delahunt, Michael

2010-01-01

Most art teachers would agree that architecture is an important form of visual art, but they do not always include it in their curriculums. In this article, the authors share core ideas from "Architecture and Environment," a teaching resource that they developed out of a long-term interest in teaching architecture and their fascination with the…

Efficient Machine Learning Approach for Optimizing Scientific Computing Applications on Emerging HPC Architectures

Energy Technology Data Exchange (ETDEWEB)

Arumugam, Kamesh [Old Dominion Univ., Norfolk, VA (United States)

2017-05-01

Efficient parallel implementations of scientific applications on multi-core CPUs with accelerators such as GPUs and Xeon Phis is challenging. This requires - exploiting the data parallel architecture of the accelerator along with the vector pipelines of modern x86 CPU architectures, load balancing, and efficient memory transfer between different devices. It is relatively easy to meet these requirements for highly structured scientific applications. In contrast, a number of scientific and engineering applications are unstructured. Getting performance on accelerators for these applications is extremely challenging because many of these applications employ irregular algorithms which exhibit data-dependent control-ow and irregular memory accesses. Furthermore, these applications are often iterative with dependency between steps, and thus making it hard to parallelize across steps. As a result, parallelism in these applications is often limited to a single step. Numerical simulation of charged particles beam dynamics is one such application where the distribution of work and memory access pattern at each time step is irregular. Applications with these properties tend to present significant branch and memory divergence, load imbalance between different processor cores, and poor compute and memory utilization. Prior research on parallelizing such irregular applications have been focused around optimizing the irregular, data-dependent memory accesses and control-ow during a single step of the application independent of the other steps, with the assumption that these patterns are completely unpredictable. We observed that the structure of computation leading to control-ow divergence and irregular memory accesses in one step is similar to that in the next step. It is possible to predict this structure in the current step by observing the computation structure of previous steps. In this dissertation, we present novel machine learning based optimization techniques to address

Combining Self-Explaining with Computer Architecture Diagrams to Enhance the Learning of Assembly Language Programming

Science.gov (United States)

Hung, Y.-C.

2012-01-01

This paper investigates the impact of combining self explaining (SE) with computer architecture diagrams to help novice students learn assembly language programming. Pre- and post-test scores for the experimental and control groups were compared and subjected to covariance (ANCOVA) statistical analysis. Results indicate that the SE-plus-diagram…

Preindustrial versus postindustrial Architecture and Building Techniques

DEFF Research Database (Denmark)

Vestergaard, Inge

2014-01-01

How can preindustrial architecture inspire sustainable thinking in postindustrial architectural design? How can we learn from experience and how can social, economic and environmental conditions give perspectives and guide a knowledge based evolution of basic experience towards modern industriali......How can preindustrial architecture inspire sustainable thinking in postindustrial architectural design? How can we learn from experience and how can social, economic and environmental conditions give perspectives and guide a knowledge based evolution of basic experience towards modern...... industrialized building processes? Identification of sustainable parameters related to change in society, to building technique and to comfort are illustrated through two Danish building types, which are different in time, but similar in function. One representing evolution and experience based countryside...... fisherman’s house built around year 1700; and second a frontrunner suburban family house built year 2008. The analysis involves architectural, technical and comfort matters and will state the levels of design, social conditions, sustainable and energy efficient parameters. Results will show lessons learned...

The Impact of School Design and Arrangement on Learning Experiences: A Case Study of an Architecturally Significant Elementary School

Science.gov (United States)

Churchill, Deirdre Lyne

2014-01-01

This qualitative study examined the impact of architectural design and arrangement on the learning experiences of students. Specifically, it examined how school design and arrangement foster interactions and relationships among students and adults relevant to integral learning experiences. This case study was limited to the breadth of knowledge…

INTELLIGENCE-BASED DESIGN: A SUSTAINABLE FOUNDATION FOR WORLDWIDE ARCHITECTURAL EDUCATION

Directory of Open Access Journals (Sweden)

Nikos A. Salingaros

2008-03-01

Full Text Available Architectural theory as currently taught in modern universities throughout the world no longer provides a plausible basis for the discipline and practice of architecture. Students studying within this model are left to their own inventions if they hope to gain an architectural degree. Forced to formulate a body of work constrained by the paradigm of contemporary design, students learn to copy fashionable images without understanding their geometry; or simply invent forms that look as if they possess a contemporary sense of architecture. By their very nature, such forms are irrelevant to human needs and sensibilities. Contrary to what students are led to believe, this practice does not provide a broader base for creativity, but instead effectively restricts choices to a very narrow design vocabulary. Most architectural institutions continue to propagate a curricular model that has sustained their particular ideals and ideologies for decades. While many innovative didactic materials and ideas for revising the architectural curriculum are available today, they are often overlooked or ignored. If implemented, these new ideas could drastically improve the educational model, allowing students the world over to participate in a learning experience specific to their immediate and local context. By re-situating the education of an architect in more practical and contextual terms, we emphasize components of building design that relate directly to human existence, human perception, and the human values and beliefs that have for millennia served to establish culture and identity. A new model of learning is developed here for students wanting to make real architecture, and for educators and practitioners that seek the same. The following proposal is predicated on the knowledge of human interaction with the physical world and the necessity of corporeal engagement with the built environment. Furthermore, our model re-institutes values in the practice and

Distinct cerebellar engrams in short-term and long-term motor learning.

Science.gov (United States)

Wang, Wen; Nakadate, Kazuhiko; Masugi-Tokita, Miwako; Shutoh, Fumihiro; Aziz, Wajeeha; Tarusawa, Etsuko; Lorincz, Andrea; Molnár, Elek; Kesaf, Sebnem; Li, Yun-Qing; Fukazawa, Yugo; Nagao, Soichi; Shigemoto, Ryuichi

2014-01-07

Cerebellar motor learning is suggested to be caused by long-term plasticity of excitatory parallel fiber-Purkinje cell (PF-PC) synapses associated with changes in the number of synaptic AMPA-type glutamate receptors (AMPARs). However, whether the AMPARs decrease or increase in individual PF-PC synapses occurs in physiological motor learning and accounts for memory that lasts over days remains elusive. We combined quantitative SDS-digested freeze-fracture replica labeling for AMPAR and physical dissector electron microscopy with a simple model of cerebellar motor learning, adaptation of horizontal optokinetic response (HOKR) in mouse. After 1-h training of HOKR, short-term adaptation (STA) was accompanied with transient decrease in AMPARs by 28% in target PF-PC synapses. STA was well correlated with AMPAR decrease in individual animals and both STA and AMPAR decrease recovered to basal levels within 24 h. Surprisingly, long-term adaptation (LTA) after five consecutive daily trainings of 1-h HOKR did not alter the number of AMPARs in PF-PC synapses but caused gradual and persistent synapse elimination by 45%, with corresponding PC spine loss by the fifth training day. Furthermore, recovery of LTA after 2 wk was well correlated with increase of PF-PC synapses to the control level. Our findings indicate that the AMPARs decrease in PF-PC synapses and the elimination of these synapses are in vivo engrams in short- and long-term motor learning, respectively, showing a unique type of synaptic plasticity that may contribute to memory consolidation.

An urban informatics approach to smart city learning in architecture and urban design education

Directory of Open Access Journals (Sweden)

Mirko Guaralda

2013-08-01

Full Text Available This study aims to redefine spaces of learning to places of learning through the direct engagement of local communities as a way to examine and learn from real world issues in the city. This paper exemplifies Smart City Learning, where the key goal is to promote the generation and exchange of urban design ideas for the future development of South Bank, in Brisbane, Australia, informing the creation of new design policies responding to the needs of local citizens. Specific to this project was the implementation of urban informatics techniques and approaches to promote innovative engagement strategies. Architecture and Urban Design students were encouraged to review and appropriate real-time, ubiquitous technology, social media, and mobile devices that were used by urban residents to augment and mediate the physical and digital layers of urban infrastructures. Our study’s experience found that urban informatics provide an innovative opportunity to enrich students’ place of learning within the city.

Architecture of Institution & Home. Architecture as Cultural Medium

NARCIS (Netherlands)

Robinson, J.W.

2004-01-01

This dissertation addresses how architecture functions as a cultural medium. It does so by by investigating how the architecture of institution and home each construct and support different cultural practices. By studying the design of ordinary settings in terms of how qualitative differences in

Art and Architectural Space

DEFF Research Database (Denmark)

Unterrainer, Walter

2014-01-01

art and architectural space museums and other exhibition spaces or how artists learn to love architects Over the last two decades, innumerable new museums, art galleries and other exhibition spaces have been built and opened all over the globe. The most extreme growth happened in China, where...... purpose of ´uniqueness´ often fail to be a ´home´, a large scale ´picture frame´ or a productive space for communicating art and even do not fulfil basic technical aspects in terms of a consistent indoor climate, optimized lighting or safety. The lecture will focus on inspiring examples of spaces for art...

Nanotube devices based crossbar architecture: toward neuromorphic computing

International Nuclear Information System (INIS)

Zhao, W S; Gamrat, C; Agnus, G; Derycke, V; Filoramo, A; Bourgoin, J-P

2010-01-01

Nanoscale devices such as carbon nanotube and nanowires based transistors, memristors and molecular devices are expected to play an important role in the development of new computing architectures. While their size represents a decisive advantage in terms of integration density, it also raises the critical question of how to efficiently address large numbers of densely integrated nanodevices without the need for complex multi-layer interconnection topologies similar to those used in CMOS technology. Two-terminal programmable devices in crossbar geometry seem particularly attractive, but suffer from severe addressing difficulties due to cross-talk, which implies complex programming procedures. Three-terminal devices can be easily addressed individually, but with limited gain in terms of interconnect integration. We show how optically gated carbon nanotube devices enable efficient individual addressing when arranged in a crossbar geometry with shared gate electrodes. This topology is particularly well suited for parallel programming or learning in the context of neuromorphic computing architectures.

An Energy-Efficient and Scalable Deep Learning/Inference Processor With Tetra-Parallel MIMD Architecture for Big Data Applications.

Science.gov (United States)

Park, Seong-Wook; Park, Junyoung; Bong, Kyeongryeol; Shin, Dongjoo; Lee, Jinmook; Choi, Sungpill; Yoo, Hoi-Jun

2015-12-01

Deep Learning algorithm is widely used for various pattern recognition applications such as text recognition, object recognition and action recognition because of its best-in-class recognition accuracy compared to hand-crafted algorithm and shallow learning based algorithms. Long learning time caused by its complex structure, however, limits its usage only in high-cost servers or many-core GPU platforms so far. On the other hand, the demand on customized pattern recognition within personal devices will grow gradually as more deep learning applications will be developed. This paper presents a SoC implementation to enable deep learning applications to run with low cost platforms such as mobile or portable devices. Different from conventional works which have adopted massively-parallel architecture, this work adopts task-flexible architecture and exploits multiple parallelism to cover complex functions of convolutional deep belief network which is one of popular deep learning/inference algorithms. In this paper, we implement the most energy-efficient deep learning and inference processor for wearable system. The implemented 2.5 mm × 4.0 mm deep learning/inference processor is fabricated using 65 nm 8-metal CMOS technology for a battery-powered platform with real-time deep inference and deep learning operation. It consumes 185 mW average power, and 213.1 mW peak power at 200 MHz operating frequency and 1.2 V supply voltage. It achieves 411.3 GOPS peak performance and 1.93 TOPS/W energy efficiency, which is 2.07× higher than the state-of-the-art.

Lessons Learned while Exploring Cloud-Native Architectures for NASA EOSDIS Applications and Systems

Science.gov (United States)

Pilone, D.

2016-12-01

As new, high data rate missions begin collecting data, the NASA's Earth Observing System Data and Information System (EOSDIS) archive is projected to grow roughly 20x to over 300PBs by 2025. To prepare for the dramatic increase in data and enable broad scientific inquiry into larger time series and datasets, NASA has been exploring the impact of applying cloud technologies throughout EOSDIS. In this talk we will provide an overview of NASA's prototyping and lessons learned in applying cloud architectures to: Highly scalable and extensible ingest and archive of EOSDIS data Going "all-in" on cloud based application architectures including "serverless" data processing pipelines and evaluating approaches to vendor-lock in Rethinking data distribution and approaches to analysis in a cloud environment Incorporating and enforcing security controls while minimizing the barrier for research efforts to deploy to NASA compliant, operational environments. NASA's Earth Observing System (EOS) is a coordinated series of satellites for long term global observations. NASA's Earth Observing System Data and Information System (EOSDIS) is a multi-petabyte-scale archive of environmental data that supports global climate change research by providing end-to-end services from EOS instrument data collection to science data processing to full access to EOS and other earth science data. On a daily basis, the EOSDIS ingests, processes, archives and distributes over 3 terabytes of data from NASA's Earth Science missions representing over 6000 data products ranging from various types of science disciplines. EOSDIS has continually evolved to improve the discoverability, accessibility, and usability of high-impact NASA data spanning the multi-petabyte-scale archive of Earth science data products.

Microservices Architecture Enables DevOps: an Experience Report on Migration to a Cloud-Native Architecture

OpenAIRE

Balalaie, A; Heydarnoori, A; Jamshidi Dermani, P

2016-01-01

This article reports on experiences and lessons learned during incremental migration and architectural refactoring of a commercial mobile back end as a service to microservices architecture. It explains how the researchers adopted DevOps and how this facilitated a smooth migration.

Deep learning architecture for iris recognition based on optimal Gabor filters and deep belief network

Science.gov (United States)

He, Fei; Han, Ye; Wang, Han; Ji, Jinchao; Liu, Yuanning; Ma, Zhiqiang

2017-03-01

Gabor filters are widely utilized to detect iris texture information in several state-of-the-art iris recognition systems. However, the proper Gabor kernels and the generative pattern of iris Gabor features need to be predetermined in application. The traditional empirical Gabor filters and shallow iris encoding ways are incapable of dealing with such complex variations in iris imaging including illumination, aging, deformation, and device variations. Thereby, an adaptive Gabor filter selection strategy and deep learning architecture are presented. We first employ particle swarm optimization approach and its binary version to define a set of data-driven Gabor kernels for fitting the most informative filtering bands, and then capture complex pattern from the optimal Gabor filtered coefficients by a trained deep belief network. A succession of comparative experiments validate that our optimal Gabor filters may produce more distinctive Gabor coefficients and our iris deep representations be more robust and stable than traditional iris Gabor codes. Furthermore, the depth and scales of the deep learning architecture are also discussed.

LTSA Conformance Testing to Architectural Design of LMS Using Ontology

Science.gov (United States)

Sengupta, Souvik; Dasgupta, Ranjan

2017-01-01

This paper proposes a new methodology for checking conformance of the software architectural design of Learning Management System (LMS) to Learning Technology System Architecture (LTSA). In our approach, the architectural designing of LMS follows the formal modeling style of Acme. An ontology is built to represent the LTSA rules and the software…

Short-term Memory of Deep RNN

OpenAIRE

Gallicchio, Claudio

2018-01-01

The extension of deep learning towards temporal data processing is gaining an increasing research interest. In this paper we investigate the properties of state dynamics developed in successive levels of deep recurrent neural networks (RNNs) in terms of short-term memory abilities. Our results reveal interesting insights that shed light on the nature of layering as a factor of RNN design. Noticeably, higher layers in a hierarchically organized RNN architecture results to be inherently biased ...

An Architecture of Reconciliation

OpenAIRE

Bolton, Carlton Robert

2001-01-01

The reconciliation of architectural idea and built form is accomplished by the materialization of the idea through the use of specific materials with their inherent qualities and restrictions. The learning begins when one sees these restrictions not as a hinderance to the idea, but that which can reveal the very essence of Architecture. The virtue of this architecture of reconciliation lies in its ability to help Man understand his surroundings and place in the world at large. This is acc...

ARCHITECTURAL AND TOWN-PLANNING LEARNING OF THE ISLANDS AT THE DNIEPER RIFTS

Directory of Open Access Journals (Sweden)

VOROBYOV V. V.

2016-06-01

Full Text Available Abstract. Problem Statement. The problem of architectural-town-planning learning of the river Islands in large rivers of the country has a convoluted history, which has radically changed the attitude of people to such areas of land many times. The modern stage of society development and urban development has again raised the issue of the revision the attitude to the Islands in reservoirs, including in the area of the Dnieper rapids, featuring the unique properties of biopositive impact on all the kinds of living organisms. The material embodiment of a new approach involving Islands in the program "Ekopolis "Iriy-Sad" on the Dnieper rapids", architectural and urban aspects of which are being developed since 2008 at the Department of architectural design under the direction of V. V. Vorobyova [ ]. However, articles of various authors on island territories, have not proposed the right approaches yet, which let us look at underrapid island on the Dnieper from the position of the new requirements of the times, which determined by the topicality of this article. The analysis of publications on the environmental aspects of architecture, urban planning and landscape design for the conditions of the river Islands between Dnipropetrovsk and Kiev, showed the absence of theoretical developments and practical recommendations, taking into account their natural and anthropogenic potential in the framework of solving the task of ecologization of the Dnieper valley and the transition to the latest technology organization of space for human life. The purpose of the article is to reveal the potential of the Islands in the area of the Dnieper rapids and the ways of its applying in architecture, urban planning and landscape design. Conclusions. Modern approaches to urban and architectural applying of river Islands do not take into account the fullness of the structural organization of the matrix of the ecosystem (exchange relationships, organized in the form of net

Case study on perspicacity of collaborative learning experiences

Science.gov (United States)

Abdullah, Fadzidah; Majid, Noor Hanita Abdul; Numen, Ibrahim; Kesuma Azmin, Aida; Abd. Rahim, Zaiton; Denan, Zuraini; Emin Sisman, Muhammet

2017-12-01

In the attempt to relate to the architectural practice, architectural education today has augmented the development of collaborative learning environment in the campus scenario. Presently, collaborative work among students from the same program and university is considered common. Hence, attempts of collaboration is extended into having learning and teaching collaboration by means of inter-universities. The School of Architecture, at the International Islamic University Malaysia (IIUM) has explored into having collaboration across the continent with Fatih Sultan Mehmet Waqf University (FSMWU), among faculty members and students of the two (2) universities This paper explicates the empirical study on students’ perspicacity of their collaborative learning experiences; in term of effectiveness, generative behaviour, and teamwork. Survey with three (3) open-ended questions are distributed to students to express their opinions on learning collaboration that they have had during the execution of the Joint Summer School Program (JSSP). Feedback on their perspicacity is obtained and organised into numerical and understandable data display, using qualitative data processing software. Albeit the relevancy of collaborative learning, students gave both positive and negative feedbacks on their experiences. Suggestions are given to enhance the quality of collaborative learning experience for future development

C. elegans positive butanone learning, short-term, and long-term associative memory assays.

Science.gov (United States)

Kauffman, Amanda; Parsons, Lance; Stein, Geneva; Wills, Airon; Kaletsky, Rachel; Murphy, Coleen

2011-03-11

The memory of experiences and learned information is critical for organisms to make choices that aid their survival. C. elegans navigates its environment through neuron-specific detection of food and chemical odors, and can associate nutritive states with chemical odors, temperature, and the pathogenicity of a food source. Here, we describe assays of C. elegans associative learning and short- and long-term associative memory. We modified an aversive olfactory learning paradigm to instead produce a positive response; the assay involves starving ~400 worms, then feeding the worms in the presence of the AWC neuron-sensed volatile chemoattractant butanone at a concentration that elicits a low chemotactic index (similar to Toroyama et al.). A standard population chemotaxis assay1 tests the worms' attraction to the odorant immediately or minutes to hours after conditioning. After conditioning, wild-type animals' chemotaxis to butanone increases ~0.6 Chemotaxis Index units, its "Learning Index". Associative learning is dependent on the presence of both food and butanone during training. Pairing food and butanone for a single conditioning period ("massed training") produces short-term associative memory that lasts ~2 hours. Multiple conditioning periods with rest periods between ("spaced training") yields long-term associative memory (long-term memory across species. Our protocol also includes image analysis methods for quick and accurate determination of chemotaxis indices. High-contrast images of animals on chemotaxis assay plates are captured and analyzed by worm counting software in MatLab. The software corrects for uneven background using a morphological tophat transformation. Otsu's method is then used to determine a threshold to separate worms from the background. Very small particles are removed automatically and larger non-worm regions (plate edges or agar punches) are removed by manual selection. The software then estimates the size of single worm by ignoring

Architectural Anthropology

DEFF Research Database (Denmark)

Stender, Marie

Architecture and anthropology have always had a common focus on dwelling, housing, urban life and spatial organisation. Current developments in both disciplines make it even more relevant to explore their boundaries and overlaps. Architects are inspired by anthropological insights and methods......, while recent material and spatial turns in anthropology have also brought an increasing interest in design, architecture and the built environment. Understanding the relationship between the social and the physical is at the heart of both disciplines, and they can obviously benefit from further...... collaboration: How can qualitative anthropological approaches contribute to contemporary architecture? And just as importantly: What can anthropologists learn from architects’ understanding of spatial and material surroundings? Recent theoretical developments in anthropology stress the role of materials...

Jupiter Europa Orbiter Architecture Definition Process

Science.gov (United States)

Rasmussen, Robert; Shishko, Robert

2011-01-01

The proposed Jupiter Europa Orbiter mission, planned for launch in 2020, is using a new architectural process and framework tool to drive its model-based systems engineering effort. The process focuses on getting the architecture right before writing requirements and developing a point design. A new architecture framework tool provides for the structured entry and retrieval of architecture artifacts based on an emerging architecture meta-model. This paper describes the relationships among these artifacts and how they are used in the systems engineering effort. Some early lessons learned are discussed.

The iCub Software Architecture: evolution and lessons learned

Directory of Open Access Journals (Sweden)

Lorenzo eNatale

2016-04-01

Full Text Available The complexity of humanoid robots is increasing with the availability of new sensors, embedded CPUs and actuators. This wealth of technologies allows researchers to investigate new problems like whole-body force control, multi-modal human-robot interaction and sensory fusion. Under the hood of these robots, the software architecture has an important role: it allows researchers to get access to the robot functionalities focusing primarily on their research problems, it supports code reuse to minimize development and debugging, especially when new hardware becomes available. But more importantly it allows increasing the complexity of the experiments that can be implemented before system integration becomes unmanageable and debugging draws more resources than research itself.In this paper we illustrate the software architecture of the iCub humanoid robot and the software engineering best practices that have emerged driven by the needs of our research community. We describe the latest developments at the level of the middleware supporting interface definition and automatic code generation, logging, ROS compatibility and channel prioritization. We show the robot abstraction layer and how it has been modified to better address the requirements of the users and to support new hardware as it became available. We also describe the testing framework we have recently adopted for developing code using a test driven methodology. We conclude the paper discussing the lessons we have learned during the past eleven years of software development on the iCub humanoid robot.

Architectural Prototyping in Industrial Practice

DEFF Research Database (Denmark)

Christensen, Henrik Bærbak; Hansen, Klaus Marius

2008-01-01

Architectural prototyping is the process of using executable code to investigate stakeholders’ software architecture concerns with respect to a system under development. Previous work has established this as a useful and cost-effective way of exploration and learning of the design space of a system......, in addressing issues regarding quality attributes, in addressing architectural risks, and in addressing the problem of knowledge transfer and conformance. Little work has been reported so far on the actual industrial use of architectural prototyping. In this paper, we report from an ethnographical study...... and focus group involving architects from four companies in which we have focused on architectural prototypes. Our findings conclude that architectural prototypes play an important role in resolving problems experimentally, but less so in exploring alternative solutions. Furthermore, architectural...

Architecture of Schools: The New Learning Environments.

Science.gov (United States)

Dudek, Mark

This guide focuses on the architecture of the primary and pre-school sector in the United Kingdom and broadly considers the subtle spatial and psychological requirements of growing children up to, and beyond, the age of sixteen. Chapter 1 examines the history, origins, and significant historical developments of school architecture, along with an…

Verbal short-term memory and vocabulary learning in polyglots.

Science.gov (United States)

Papagno, C; Vallar, G

1995-02-01

Polyglot and non-polyglot Italian subjects were given tests assessing verbal (phonological) and visuo-spatial short-term and long-term memory, general intelligence, and vocabulary knowledge in their native language. Polyglots had a superior level of performance in verbal short-term memory tasks (auditory digit span and nonword repetition) and in a paired-associate learning test, which assessed the subjects' ability to acquire new (Russian) words. By contrast, the two groups had comparable performance levels in tasks assessing general intelligence, visuo-spatial short-term memory and learning, and paired-associate learning of Italian words. These findings, which are in line with neuropsychological and developmental evidence, as well as with data from normal subjects, suggest a close relationship between the capacity of phonological memory and the acquisition of foreign languages.

Short-term memory, executive control, and children's route learning

OpenAIRE

Purser, H. R.; Farran, E. K.; Courbois, Y.; Lemahieu, A.; Mellier, D.; Sockeel, P.; Blades, M.

2012-01-01

The aim of this study was to investigate route-learning ability in 67 children aged 5 to 11years and to relate route-learning performance to the components of Baddeley's model of working memory. Children carried out tasks that included measures of verbal and visuospatial short-term memory and executive control and also measures of verbal and visuospatial long-term memory; the route-learning task was conducted using a maze in a virtual environment. In contrast to previous research, correlation...

Artificial cognition architectures

CERN Document Server

Crowder, James A; Friess, Shelli A

2013-01-01

The goal of this book is to establish the foundation, principles, theory, and concepts that are the backbone of real, autonomous Artificial Intelligence. Presented here are some basic human intelligence concepts framed for Artificial Intelligence systems. These include concepts like Metacognition and Metamemory, along with architectural constructs for Artificial Intelligence versions of human brain functions like the prefrontal cortex. Also presented are possible hardware and software architectures that lend themselves to learning, reasoning, and self-evolution

Policy improvement by a model-free Dyna architecture.

Science.gov (United States)

Hwang, Kao-Shing; Lo, Chia-Yue

2013-05-01

The objective of this paper is to accelerate the process of policy improvement in reinforcement learning. The proposed Dyna-style system combines two learning schemes, one of which utilizes a temporal difference method for direct learning; the other uses relative values for indirect learning in planning between two successive direct learning cycles. Instead of establishing a complicated world model, the approach introduces a simple predictor of average rewards to actor-critic architecture in the simulation (planning) mode. The relative value of a state, defined as the accumulated differences between immediate reward and average reward, is used to steer the improvement process in the right direction. The proposed learning scheme is applied to control a pendulum system for tracking a desired trajectory to demonstrate its adaptability and robustness. Through reinforcement signals from the environment, the system takes the appropriate action to drive an unknown dynamic to track desired outputs in few learning cycles. Comparisons are made between the proposed model-free method, a connectionist adaptive heuristic critic, and an advanced method of Dyna-Q learning in the experiments of labyrinth exploration. The proposed method outperforms its counterparts in terms of elapsed time and convergence rate.

Deficits in verbal long-term memory and learning in children with poor phonological short-term memory skills.

Science.gov (United States)

Gathercole, Susan E; Briscoe, Josie; Thorn, Annabel; Tiffany, Claire

2008-03-01

Possible links between phonological short-term memory and both longer term memory and learning in 8-year-old children were investigated in this study. Performance on a range of tests of long-term memory and learning was compared for a group of 16 children with poor phonological short-term memory skills and a comparison group of children of the same age with matched nonverbal reasoning abilities but memory scores in the average range. The low-phonological-memory group were impaired on longer term memory and learning tasks that taxed memory for arbitrary verbal material such as names and nonwords. However, the two groups performed at comparable levels on tasks requiring the retention of visuo-spatial information and of meaningful material and at carrying out prospective memory tasks in which the children were asked to carry out actions at a future point in time. The results are consistent with the view that poor short-term memory function impairs the longer-term retention and ease of learning of novel verbal material.

Architecture and Stages of the Experience City

DEFF Research Database (Denmark)

This book presents more than 41 articles on ‘Architecture and Stages of the Experience City'. The aim of the book is to investigate current challenges related to architecture, art and city life in the ‘Experience City' and it is presenting cutting edge knowledge and experiences within the following...... themes: Experience City Making Digital Architecture Stages in the Experience City The City as a Learning Lab Experience City Architecture Performative Architecture Art and Performance Urban Catalyst and Temporary Use...

Cascade Error Projection: An Efficient Hardware Learning Algorithm

Science.gov (United States)

Duong, T. A.

1995-01-01

A new learning algorithm termed cascade error projection (CEP) is presented. CEP is an adaption of a constructive architecture from cascade correlation and the dynamical stepsize of A/D conversion from the cascade back propagation algorithm.

The development of automaticity in short-term memory search: Item-response learning and category learning.

Science.gov (United States)

Cao, Rui; Nosofsky, Robert M; Shiffrin, Richard M

2017-05-01

In short-term-memory (STM)-search tasks, observers judge whether a test probe was present in a short list of study items. Here we investigated the long-term learning mechanisms that lead to the highly efficient STM-search performance observed under conditions of consistent-mapping (CM) training, in which targets and foils never switch roles across trials. In item-response learning, subjects learn long-term mappings between individual items and target versus foil responses. In category learning, subjects learn high-level codes corresponding to separate sets of items and learn to attach old versus new responses to these category codes. To distinguish between these 2 forms of learning, we tested subjects in categorized varied mapping (CV) conditions: There were 2 distinct categories of items, but the assignment of categories to target versus foil responses varied across trials. In cases involving arbitrary categories, CV performance closely resembled standard varied-mapping performance without categories and departed dramatically from CM performance, supporting the item-response-learning hypothesis. In cases involving prelearned categories, CV performance resembled CM performance, as long as there was sufficient practice or steps taken to reduce trial-to-trial category-switching costs. This pattern of results supports the category-coding hypothesis for sufficiently well-learned categories. Thus, item-response learning occurs rapidly and is used early in CM training; category learning is much slower but is eventually adopted and is used to increase the efficiency of search beyond that available from item-response learning. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Situating universal design architecture: designing with whom?

Science.gov (United States)

Jones, Paul

2014-01-01

To respond to growing calls for a theoretical unpacking of Universal Design (UD), a disparate movement cohering around attempts to design spaces and technologies that seek to allow use by all people (to the fullest extent possible). The on-going embedding of UD into architectural practice and pedagogy represents an opportune juncture at which to draw learning from other distinct-but-related transformatory architectural movements. Sociological-theoretical commentary. UD has to date, and necessarily, been dominated by the practice contexts from which it emerged. Appealing as a short-hand for description of "designing-for-all", in most cases UD has come to stand in as a term to signal a general intent in this direction and as an umbrella term for the range of technical design resources that have been developed under these auspices. There remains a fundamental ambivalence vis-à-vis the question of users' power/capacity to influence decision-making in the design process in UD; technically-oriented typologies of bodies predominate in influential UD architectural accounts. UD represents rich technical and pedagogical resources for those architects committed to transforming the existing built environment so as to be less hostile to a wide range of users. However, within UD, unpacking the social role of the professional architect vis-à-vis a variety of publics is an important, but hitherto underdeveloped, challenge; issues concerning professional-citizen power relations continue to animate parallel architectural politics, and UD can both contribute and draw much from these on-going explorations. Implications for Rehabilitation Universal Design (UD) architecture shares a close affinity with rehabilitation practice, with the creation of built environments that allow use by individuals with a wide range of capacities a priority for both. While an effective communicative "bridge" between professions, UD's deployment typically leaves unspoken the capacity of users to

How architecture students gain and apply knowledge of sustainable architecture

DEFF Research Database (Denmark)

Donovan, Elizabeth; Holder, Anna

2016-01-01

understandings of how architects synthesise different types of knowledge while designing, raising questions about the ‘match’ between educational experiences and subsequent behaviours in practice. Taking an example from Denmark, we outline the approach of Aarhus School of Architecture, where sustainability...... teaching is partially integrated within the design studio courses. We compare the institution’s philosophy for sustainability with pedagogical approaches as practiced within the school. An empirical study was made of 2nd year architecture student experiences of a one-month introduction course to ‘Reuse...... to be supported in gaining different types of knowledge (ie. propositional, experiential, applied) through different modes of learning. There are gaps to be bridged in education in order for the sustainability agenda to be fully integrated in architectural practice....

Bipolarity and Ambivalence in Landscape Architecture

NARCIS (Netherlands)

Koh, J.

2010-01-01

Our discipline of landscape architecture contains bipolarity, not only in terms of landscape and architecture but also because the idea of landscape is both aesthetic and scientific. Furthermore, within landscape architecture there is a gap between design (as implied by architecture) and planning

Organizational Learning Supported by Reference Architecture Models: Industry 4.0 Laboratory Study

Directory of Open Access Journals (Sweden)

Marco Nardello

2017-10-01

Full Text Available The wave of the fourth industrial revolution (Industry 4.0 is bringing a new vision of the manufacturing industry. In manufacturing, one of the buzzwords of the moment is "Smart production". Smart production involves manufacturing equipment with many sensors that can generate and transmit large amounts of data. These data and information from manufacturing operations are however not shared in the organization. Therefore the organization is not using them to learn and improve their operations. To address this problem, the authors implemented in an Industry 4.0 laboratory an instance of an emerging technical standard specific for the manufacturing industry. Global manufacturing experts consider the Reference Architecture Model Industry 4.0 (RAMI4.0 as one of the corner stones for the implementation of Industry 4.0. The instantiation contributed to organizational learning in the laboratory by collecting and sharing up-to-date information concerning manufacturing equipment. This article discusses and generalizes the experience and outlines future research directions.

Stacking Ensemble Learning for Short-Term Electricity Consumption Forecasting

Directory of Open Access Journals (Sweden)

Federico Divina

2018-04-01

Full Text Available The ability to predict short-term electric energy demand would provide several benefits, both at the economic and environmental level. For example, it would allow for an efficient use of resources in order to face the actual demand, reducing the costs associated to the production as well as the emission of CO 2 . To this aim, in this paper we propose a strategy based on ensemble learning in order to tackle the short-term load forecasting problem. In particular, our approach is based on a stacking ensemble learning scheme, where the predictions produced by three base learning methods are used by a top level method in order to produce final predictions. We tested the proposed scheme on a dataset reporting the energy consumption in Spain over more than nine years. The obtained experimental results show that an approach for short-term electricity consumption forecasting based on ensemble learning can help in combining predictions produced by weaker learning methods in order to obtain superior results. In particular, the system produces a lower error with respect to the existing state-of-the art techniques used on the same dataset. More importantly, this case study has shown that using an ensemble scheme can achieve very accurate predictions, and thus that it is a suitable approach for addressing the short-term load forecasting problem.

Neural Architectures for Control

Science.gov (United States)

Peterson, James K.

1991-01-01

The cerebellar model articulated controller (CMAC) neural architectures are shown to be viable for the purposes of real-time learning and control. Software tools for the exploration of CMAC performance are developed for three hardware platforms, the MacIntosh, the IBM PC, and the SUN workstation. All algorithm development was done using the C programming language. These software tools were then used to implement an adaptive critic neuro-control design that learns in real-time how to back up a trailer truck. The truck backer-upper experiment is a standard performance measure in the neural network literature, but previously the training of the controllers was done off-line. With the CMAC neural architectures, it was possible to train the neuro-controllers on-line in real-time on a MS-DOS PC 386. CMAC neural architectures are also used in conjunction with a hierarchical planning approach to find collision-free paths over 2-D analog valued obstacle fields. The method constructs a coarse resolution version of the original problem and then finds the corresponding coarse optimal path using multipass dynamic programming. CMAC artificial neural architectures are used to estimate the analog transition costs that dynamic programming requires. The CMAC architectures are trained in real-time for each obstacle field presented. The coarse optimal path is then used as a baseline for the construction of a fine scale optimal path through the original obstacle array. These results are a very good indication of the potential power of the neural architectures in control design. In order to reach as wide an audience as possible, we have run a seminar on neuro-control that has met once per week since 20 May 1991. This seminar has thoroughly discussed the CMAC architecture, relevant portions of classical control, back propagation through time, and adaptive critic designs.

The Simulation Intranet Architecture

Energy Technology Data Exchange (ETDEWEB)

Holmes, V.P.; Linebarger, J.M.; Miller, D.J.; Vandewart, R.L.

1998-12-02

The Simdarion Infranet (S1) is a term which is being used to dcscribc one element of a multidisciplinary distributed and distance computing initiative known as DisCom2 at Sandia National Laboratory (http ct al. 1998). The Simulation Intranet is an architecture for satisfying Sandia's long term goal of providing an end- to-end set of scrviccs for high fidelity full physics simu- lations in a high performance, distributed, and distance computing environment. The Intranet Architecture group was formed to apply current distributed object technologies to this problcm. For the hardware architec- tures and software models involved with the current simulation process, a CORBA-based architecture is best suited to meet Sandia's needs. This paper presents the initial desi-a and implementation of this Intranct based on a three-tier Network Computing Architecture(NCA). The major parts of the architecture include: the Web Cli- ent, the Business Objects, and Data Persistence.

A "Language Lab" for Architectural Design.

Science.gov (United States)

Mackenzie, Arch; And Others

This paper discusses a "language lab" strategy in which traditional studio learning may be supplemented by language lessons using computer graphics techniques to teach architectural grammar, a body of elements and principles that govern the design of buildings belonging to a particular architectural theory or style. Two methods of…

Workshop on Educational Innovation in Architecture: JIDA’17 5th Edition

Directory of Open Access Journals (Sweden)

Berta Bardí-Milà

2018-05-01

Full Text Available Workshop on Educational Innovation in Architecture (JIDA, http://revistes.upc.edu/ojs/index.php/JIDA are a meeting point for professionals in teaching innovation in the field of Architecture. Its main aim is to present and share teaching experiences within several architecture disciplines. In this sense, the conference becomes a forum to discuss issues related to the daily pedagogical practice from a wide range of views both from national and international schools of Architecture. JIDA’17 goal is to improve the quality of learning in this specific field of knowledge and, more precisely, in the general training of architects. The five editions so far (2013-2017 have been developed under the initiative and coordination of the Grup per la Innovació i la Logística Docent en Arquitectura (GILDA, in cooperation with the Institut de Ciències de l’Educació (ICE-UPC. In the current monograph, we have included four communications which were presented in JIDA’S fifth edition (2017, and a preface by the Conference directors in which we discuss the global panorama of education in architecture in terms of teaching experiences collected in all previous JIDA’s proceedings.

Detail in architecture: Between arts & crafts

Science.gov (United States)

Dulencin, Juraj

2016-06-01

Architectural detail represents an important part of architecture. Not only can it be used as an identifier of a specific building but at the same time enhances the experience of the realized project. Within it lie the signs of a great architect and clues to understanding his or her way of thinking. It is therefore the central topic of a seminar offered to architecture students at the Brno University of Technology. During the course of the semester-long class the students acquaint themselves with atypical architectural details of domestic and international architects by learning to read them, understand them and subsequently draw them by creating architectural blueprints. In other words, by general analysis of a detail the students learn theoretical thinking of its architect who, depending on the nature of the design, had to incorporate a variety of techniques and crafts. Students apply this analytical part to their own architectural detail design. The methodology of the seminar consists of experiential learning by project management and is complemented by a series of lectures discussing a diversity of details as well as materials and technologies required to implement it. The architectural detail design is also part of students' bachelors thesis, therefore, the realistic nature of their blueprints can be verified in the production process of its physical counterpart. Based on their own documentation the students choose the most suitable manufacturing process whether it is supplied by a specific technology or a craftsman. Students actively participate in the production and correct their design proposals in real scale with the actual material. A student, as a future architect, stands somewhere between a client and an artisan, materializes his or her idea and adjusts the manufacturing process so that the final detail fulfills aesthetic consistency and is in harmony with its initial concept. One of the very important aspects of the design is its economic cost, an

Economics-driven software architecture

CERN Document Server

Mistrik, Ivan; Kazman, Rick; Zhang, Yuanyuan

2014-01-01

Economics-driven Software Architecture presents a guide for engineers and architects who need to understand the economic impact of architecture design decisions: the long term and strategic viability, cost-effectiveness, and sustainability of applications and systems. Economics-driven software development can increase quality, productivity, and profitability, but comprehensive knowledge is needed to understand the architectural challenges involved in dealing with the development of large, architecturally challenging systems in an economic way. This book covers how to apply economic consider

Progress of the Architectural Competition: Learning Center, the Lausanne Example

Directory of Open Access Journals (Sweden)

Mirjana Rittmeyer

2006-07-01

Full Text Available Point of entry to the Ecole Polytechnique Fédérale de Lausanne (EPFL, the Learning Center will be a place to learn, to obtain information, and to live. Replacing and improving the old main library, this new building will gradually assimilate all EPFL department libraries collections and services, as they are integrated into a global information system. Conceived as the place for those who are learning, mainly students, who have no personal working area on the campus, it is designed to adapt itself to the ‘seasons’ of academic life throughout the year (flexibility and modularity of rooms, extended opening hours during exam periods. It will take into account group working habits (silence vs. noise, changes in the rhythm of student life (meals, working alone, discussions, etc., and other environmental factors. Of course the needs of EPFL staff and alumni, local industry and citizens have also been carefully considered in the design. By offering a multitude of community functions, such as a bookshop, cafeteria and restaurant services, and rooms for relaxation and discussion, the Learning Center will link the campus to the city. Areas devoted to exhibition and debate will also be included, enforcing its role as an interactive science showcase, in particular for those technologies related to the research and teaching of the EPFL. The presentation described the process and steps towards the actual realisation of such a vital public space: from the programme definition to the collaboration with the bureau of architects (SAANA, Tokyo who won the project competition, the speakers showed what are the challenges and lessons already taken when working on this major piece of architecture, indeed the heart of the transformation of the technical school build in the 1970s into a real 2000s campus.

Design and evaluation criteria for layered architectures

CSIR Research Space (South Africa)

Gerber, AJ

2006-05-01

Full Text Available The terms architecture, layered architecture and system architecture are often used by researchers, as well as system architects and business process analysts inconsistently. Furthermore, the concept architecture is commonplace in discussions...

Comparison of Learning Software Architecture by Developing Social Applications versus Games on the Android Platform

Directory of Open Access Journals (Sweden)

Bian Wu

2012-01-01

Full Text Available This paper describes an empirical study where the focus was on discovering differences and similarities in students working on development of social applications versus students working on development of games using the same Android development platform. In 2010-2011, students attending the software architecture course at the Norwegian University of Science and Technology (NTNU could choose between four types of projects. Independently of the chosen type of project, all students had to go through the same phases, produce the same documents based on the same templates, and follow exactly the same process. This study focuses on one of projects—Android project, to see how much the application domain affects the course project independently of the chosen technology. Our results revealed some positive effects for the students doing game development compared to social application development to learn software architecture, like motivated to work with games, a better focus on quality attributes such as modifiability and testability during the development, production of software architectures of higher complexity, and more productive coding working for the project. However, we did not find significant differences in awarded grade between students choosing the two different domains.

Facilitating long-term changes in student approaches to learning science.

Science.gov (United States)

Buchwitz, Brian J; Beyer, Catharine H; Peterson, Jon E; Pitre, Emile; Lalic, Nevena; Sampson, Paul D; Wakimoto, Barbara T

2012-01-01

Undergraduates entering science curricula differ greatly in individual starting points and learning needs. The fast pace, high enrollment, and high stakes of introductory science courses, however, limit students' opportunities to self-assess and modify learning strategies. The University of Washington's Biology Fellows Program (BFP) intervenes through a 20-session, premajors course that introduces students to the rigor expected of bioscience majors and assists their development as science learners. This study uses quantitative and qualitative approaches to assess whether the 2007-2009 BFP achieved its desired short- and long-term impacts on student learning. Adjusting for differences in students' high school grade point average and Scholastic Aptitude Test scores, we found that participation in the BFP was associated with higher grades in two subsequent gateway biology courses, across multiple quarters and instructors. Two to 4 yr after participating in the program, students attributed changes in how they approached learning science to BFP participation. They reported having learned to "think like a scientist" and to value active-learning strategies and learning communities. In addition, they reported having developed a sense of belonging in bioscience communities. The achievement of long-term impacts for a short-term instructional investment suggests a practical means to prepare diverse students for the rigors of science curricula.

Augmented Reality in Informal Learning Environments: Investigating Short-term and Long-term Effects

DEFF Research Database (Denmark)

Sommerauer, Peter; Müller, Oliver

2018-01-01

field experiment with 24 participants at a mathematics exhibition to measure the effect of AR on acquiring and retaining mathematical knowledge in an informal learning environment, both short-term (i.e., directly after visiting the exhibition) and long-term (i.e., two months after the museum visit). Our...

Architectural space characteristics facilitating teaching and apprenticeship

Directory of Open Access Journals (Sweden)

Maria do Carmo de Lima Bezerra

2016-06-01

Full Text Available The article discusses the relevance of the architectural space as a facilitator of teaching and learning processes. It adopts an analytical methodology based on the architecture and pedagogy literature to know the view of these areas on the subject, and identifies relevant spatial attributes to facilitate education. Research has shown that there are recurrences pointing disciplinary fields of environmental comfort, ergonomics and environmental psychology, which were the subject of this conceptual research about the positive and negative impacts on the school design facility by each attribute of these disciplines. As result, it presents a framework of attributes, characteristics and relevance to teaching and learning to be used as support to the space needs assessment, ie: during the first stage of an architectural design process.

Investigation of support vector machine for the detection of architectural distortion in mammographic images

International Nuclear Information System (INIS)

Guo, Q; Shao, J; Ruiz, V

2005-01-01

This paper investigates detection of architectural distortion in mammographic images using support vector machine. Hausdorff dimension is used to characterise the texture feature of mammographic images. Support vector machine, a learning machine based on statistical learning theory, is trained through supervised learning to detect architectural distortion. Compared to the Radial Basis Function neural networks, SVM produced more accurate classification results in distinguishing architectural distortion abnormality from normal breast parenchyma

Investigation of support vector machine for the detection of architectural distortion in mammographic images

Energy Technology Data Exchange (ETDEWEB)

Guo, Q [Department of Cybernetics, University of Reading, Reading RG6 6AY (United Kingdom); Shao, J [Department of Electronics, University of Kent at Canterbury, Kent CT2 7NT (United Kingdom); Ruiz, V [Department of Cybernetics, University of Reading, Reading RG6 6AY (United Kingdom)

2005-01-01

This paper investigates detection of architectural distortion in mammographic images using support vector machine. Hausdorff dimension is used to characterise the texture feature of mammographic images. Support vector machine, a learning machine based on statistical learning theory, is trained through supervised learning to detect architectural distortion. Compared to the Radial Basis Function neural networks, SVM produced more accurate classification results in distinguishing architectural distortion abnormality from normal breast parenchyma.

An Empirical Investigation of Architectural Prototyping

DEFF Research Database (Denmark)

Christensen, Henrik Bærbak; Hansen, Klaus Marius

2010-01-01

Architectural prototyping is the process of using executable code to investigate stakeholders’ software architecture concerns with respect to a system under development. Previous work has established this as a useful and cost-effective way of exploration and learning of the design space of a system...... and in addressing issues regarding quality attributes, architectural risks, and the problem of knowledge transfer and conformance. However, the actual industrial use of architectural prototyping has not been thoroughly researched so far. In this article, we report from three studies of architectural prototyping...... in practice. First, we report findings from an ethnographic study of practicing software architects. Secondly, we report from a focus group on architectural prototyping involving architects from four companies. And, thirdly, we report from a survey study of 20 practicing software architects and software...

Virtual Things for Machine Learning Applications

OpenAIRE

Bovet , Gérôme; Ridi , Antonio; Hennebert , Jean

2014-01-01

International audience; Internet-of-Things (IoT) devices, especially sensors are pro-ducing large quantities of data that can be used for gather-ing knowledge. In this field, machine learning technologies are increasingly used to build versatile data-driven models. In this paper, we present a novel architecture able to ex-ecute machine learning algorithms within the sensor net-work, presenting advantages in terms of privacy and data transfer efficiency. We first argument that some classes of ...

Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture

OpenAIRE

Park, Seong Hyeon; Kim, ByeongDo; Kang, Chang Mook; Chung, Chung Choo; Choi, Jun Won

2018-01-01

In this paper, we propose a deep learning based vehicle trajectory prediction technique which can generate the future trajectory sequence of surrounding vehicles in real time. We employ the encoder-decoder architecture which analyzes the pattern underlying in the past trajectory using the long short-term memory (LSTM) based encoder and generates the future trajectory sequence using the LSTM based decoder. This structure produces the $K$ most likely trajectory candidates over occupancy grid ma...

Architectural education online and in-class synergies: reshaping the course and the learner

Directory of Open Access Journals (Sweden)

Olga Ioannou

2015-10-01

Full Text Available Architectural courses have been traditionally planned in the context of a physical classroom where the direct rapport of the students with the instructor is an unswerving condition for learning. This model was formed, however, at a time when learning was not impacted by technology. Although digital media have infiltrated architectural practice, they still elude architectural design education. The author argues that the integration of online educational practices in architectural curricula can benefit design education immensely by raising interaction and making students assume responsibility for their learning. To demonstrate the gains of online and in-class synergy in architectural education a blended course was set up at the postgraduate program of the National Technical University of Athens, School of Architecture. Current trends of online learning were carefully examined in regard to their compatibility with the architectural design culture of “learning by doing”. The course was eventually founded on the core principles of the connectivist model where learning consists of the ability to construct and traverse networks of connections (Downes, 2012. This approach was chosen because of its affinity to the design praxis where similarly students are required to make critical connections in order to map spatial phenomena and reconstruct the real. Course content was redesigned to comply with its new medium. Students were offered multiple channels of communication. They were also asked to contribute to the content material. Course data analysis demonstrated an unprecedented level of participation, exchange and student satisfaction as expressed in the surveys that followed the course’s completion.

Sustainable, Reliable Mission-Systems Architecture

Science.gov (United States)

O'Neil, Graham; Orr, James K.; Watson, Steve

2007-01-01

A mission-systems architecture, based on a highly modular infrastructure utilizing: open-standards hardware and software interfaces as the enabling technology is essential for affordable and sustainable space exploration programs. This mission-systems architecture requires (a) robust communication between heterogeneous system, (b) high reliability, (c) minimal mission-to-mission reconfiguration, (d) affordable development, system integration, and verification of systems, and (e) minimal sustaining engineering. This paper proposes such an architecture. Lessons learned from the Space Shuttle program and Earthbound complex engineered system are applied to define the model. Technology projections reaching out 5 years are mde to refine model details.

An Energy-Efficient Multi-Tier Architecture for Fall Detection Using Smartphones.

Science.gov (United States)

Guvensan, M Amac; Kansiz, A Oguz; Camgoz, N Cihan; Turkmen, H Irem; Yavuz, A Gokhan; Karsligil, M Elif

2017-06-23

Automatic detection of fall events is vital to providing fast medical assistance to the causality, particularly when the injury causes loss of consciousness. Optimization of the energy consumption of mobile applications, especially those which run 24/7 in the background, is essential for longer use of smartphones. In order to improve energy-efficiency without compromising on the fall detection performance, we propose a novel 3-tier architecture that combines simple thresholding methods with machine learning algorithms. The proposed method is implemented on a mobile application, called uSurvive, for Android smartphones. It runs as a background service and monitors the activities of a person in daily life and automatically sends a notification to the appropriate authorities and/or user defined contacts when it detects a fall. The performance of the proposed method was evaluated in terms of fall detection performance and energy consumption. Real life performance tests conducted on two different models of smartphone demonstrate that our 3-tier architecture with feature reduction could save up to 62% of energy compared to machine learning only solutions. In addition to this energy saving, the hybrid method has a 93% of accuracy, which is superior to thresholding methods and better than machine learning only solutions.

Background to the teaching-learning process of visual arts for appreciation of architecture in the second cycle

Directory of Open Access Journals (Sweden)

Paula Ester Azuy Chiroles

2016-12-01

Full Text Available This article is a systematization of the definitions given to the concept of Plastic Arts from different theoretical and historical-logical study of the teaching and learning of the arts to the appreciation of architecture in the second cycle, in which it is shown that This has been a failure and / or limiting in Primary Education for the formation of school; (For the appreciation of architecture, as part of the manifestations of the arts, offers the best potential to enhance the aesthetic taste and strengthening cultural identity the documentary analysis to various documents of the curriculum of primary education between which are cited: the ministerial resolutions, Curriculum programs, television programming, educational software, methodological guidance curriculum of primary education, methodological preparations corroborate this problem.

A method for valuing architecture-based business transformation and measuring the value of solutions architecture

OpenAIRE

Slot, R.G.

2010-01-01

Enterprise and Solution Architecture are key in today’s business environment. It is surprising that the foundation and business case for these activities are nonexistent; the financial value for the business of these activities is largely undetermined. To determine business value of enterprise and solution architecture, this thesis shows how to measure and quantify, in business terms, the value of enterprise architecture-based on business transformation and the value of solution architecture.

Randomized controlled trial evaluating the temporal effects of high-intensity exercise on learning, short-term and long-term memory, and prospective memory.

Science.gov (United States)

Frith, Emily; Sng, Eveleen; Loprinzi, Paul D

2017-11-01

The broader purpose of this study was to examine the temporal effects of high-intensity exercise on learning, short-term and long-term retrospective memory and prospective memory. Among a sample of 88 young adult participants, 22 were randomized into one of four different groups: exercise before learning, control group, exercise during learning, and exercise after learning. The retrospective assessments (learning, short-term and long-term memory) were assessed using the Rey Auditory Verbal Learning Test. Long-term memory including a 20-min and 24-hr follow-up assessment. Prospective memory was assessed using a time-based procedure by having participants contact (via phone) the researchers at a follow-up time period. The exercise stimulus included a 15-min bout of progressive maximal exertion treadmill exercise. High-intensity exercise prior to memory encoding (vs. exercise during memory encoding or consolidation) was effective in enhancing long-term memory (for both 20-min and 24-h follow-up assessments). We did not observe a differential temporal effect of high-intensity exercise on short-term memory (immediate post-memory encoding), learning or prospective memory. The timing of high-intensity exercise may play an important role in facilitating long-term memory. © 2017 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

Extending the Soar Cognitive Architecture

National Research Council Canada - National Science Library

Laird, John E

2007-01-01

.... Specifically looking at extensions related to memory and learning (episodic, semantic) and emotion. The direction changed when an opportunity became available to collaborate with other biologically-inspired cognitive architecture...

Long-term response to genomic selection: effects of estimation method and reference population structure for different genetic architectures.

Science.gov (United States)

Bastiaansen, John W M; Coster, Albart; Calus, Mario P L; van Arendonk, Johan A M; Bovenhuis, Henk

2012-01-24

Genomic selection has become an important tool in the genetic improvement of animals and plants. The objective of this study was to investigate the impacts of breeding value estimation method, reference population structure, and trait genetic architecture, on long-term response to genomic selection without updating marker effects. Three methods were used to estimate genomic breeding values: a BLUP method with relationships estimated from genome-wide markers (GBLUP), a Bayesian method, and a partial least squares regression method (PLSR). A shallow (individuals from one generation) or deep reference population (individuals from five generations) was used with each method. The effects of the different selection approaches were compared under four different genetic architectures for the trait under selection. Selection was based on one of the three genomic breeding values, on pedigree BLUP breeding values, or performed at random. Selection continued for ten generations. Differences in long-term selection response were small. For a genetic architecture with a very small number of three to four quantitative trait loci (QTL), the Bayesian method achieved a response that was 0.05 to 0.1 genetic standard deviation higher than other methods in generation 10. For genetic architectures with approximately 30 to 300 QTL, PLSR (shallow reference) or GBLUP (deep reference) had an average advantage of 0.2 genetic standard deviation over the Bayesian method in generation 10. GBLUP resulted in 0.6% and 0.9% less inbreeding than PLSR and BM and on average a one third smaller reduction of genetic variance. Responses in early generations were greater with the shallow reference population while long-term response was not affected by reference population structure. The ranking of estimation methods was different with than without selection. Under selection, applying GBLUP led to lower inbreeding and a smaller reduction of genetic variance while a similar response to selection was

Mosque as a Model of Learning Principles of Sustainable Architecture

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Swambodo Murdariatmo Adi

2016-06-01

Full Text Available The mosque is an integral part of the circuit-worship rituals of Islam. For Muslims in Indonesia, the role of the mosque as a place of worship, examines religion and some other activities occupy a strategic position not only as a religious symbol but more emphasis on the function of the space as a public building. Utilization of space in public buildings as well as space-ritual-social space will have meaning for the people in view of adaptation space used. Awareness of the importance of effective space utilization and management of water resources wisely in support of the ritual apply the principles of sustainable architecture will have a positive impact for the people to give directions as to how the principle of austerity-not wasteful in Islam can be applied. This paper will discuss about the process of continuous learning from the essence of understanding of the mosque as a model in implementing the process of life, taking into account the principles of simplicity, functional and wisdom, especially in the efficiency of utilization of local resources. The method used in this research is qualitative descriptive, which is explained the theory and based on literature and accompanied by case study that have implemented the principles. The output of this application of the principles of sustainable architecture in the planning and use of mosques as a place in the relationship with God and with fellow human relations can be a model for the faithful to deal with wisely challenge natural resource constraints, especially for future generations.

Minimalism in architecture: Abstract conceptualization of architecture

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Vasilski Dragana

2015-01-01

Full Text Available Minimalism in architecture contains the idea of the minimum as a leading creative tend to be considered and interpreted in working through phenomena of empathy and abstraction. In the Western culture, the root of this idea is found in empathy of Wilhelm Worringer and abstraction of Kasimir Malevich. In his dissertation, 'Abstraction and Empathy' Worringer presented his thesis on the psychology of style through which he explained the two opposing basic forms: abstraction and empathy. His conclusion on empathy as a psychological basis of observation expression is significant due to the verbal congruence with contemporary minimalist expression. His intuition was enhenced furthermore by figure of Malevich. Abstraction, as an expression of inner unfettered inspiration, has played a crucial role in the development of modern art and architecture of the twentieth century. Abstraction, which is one of the basic methods of learning in psychology (separating relevant from irrelevant features, Carl Jung is used to discover ideas. Minimalism in architecture emphasizes the level of abstraction to which the individual functions are reduced. Different types of abstraction are present: in the form as well as function of the basic elements: walls and windows. The case study is an example of Sou Fujimoto who is unequivocal in its commitment to the autonomy of abstract conceptualization of architecture.

A Distributed Intelligent E-Learning System

Science.gov (United States)

Kristensen, Terje

2016-01-01

An E-learning system based on a multi-agent (MAS) architecture combined with the Dynamic Content Manager (DCM) model of E-learning, is presented. We discuss the benefits of using such a multi-agent architecture. Finally, the MAS architecture is compared with a pure service-oriented architecture (SOA). This MAS architecture may also be used within…

Travels in Architectural History

Directory of Open Access Journals (Sweden)

Davide Deriu

2016-11-01

Full Text Available Travel is a powerful force in shaping the perception of the modern world and plays an ever-growing role within architectural and urban cultures. Inextricably linked to political and ideological issues, travel redefines places and landscapes through new transport infrastructures and buildings. Architecture, in turn, is reconstructed through visual and textual narratives produced by scores of modern travellers — including writers and artists along with architects themselves. In the age of the camera, travel is bound up with new kinds of imaginaries; private records and recollections often mingle with official, stereotyped views, as the value of architectural heritage increasingly rests on the mechanical reproduction of its images. Whilst students often learn about architectural history through image collections, the place of the journey in the formation of the architect itself shifts. No longer a lone and passionate antiquarian or an itinerant designer, the modern architect eagerly hops on buses, trains, and planes in pursuit of personal as well as professional interests. Increasingly built on a presumption of mobility, architectural culture integrates travel into cultural debates and design experiments. By addressing such issues from a variety of perspectives, this collection, a special 'Architectural Histories' issue on travel, prompts us to rethink the mobile conditions in which architecture has historically been produced and received.

Learning Essential Terms and Concepts in Statistics and Accounting

Science.gov (United States)

Peters, Pam; Smith, Adam; Middledorp, Jenny; Karpin, Anne; Sin, Samantha; Kilgore, Alan

2014-01-01

This paper describes a terminological approach to the teaching and learning of fundamental concepts in foundation tertiary units in Statistics and Accounting, using an online dictionary-style resource (TermFinder) with customised "termbanks" for each discipline. Designed for independent learning, the termbanks support inquiring students…

Islamic Values in Spatial Function of Javanese Traditional Architecture

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Supriyanta Supriyanta

2016-01-01

Full Text Available Learn from the past is important thing as based for the next step. Learn past architecture to gain positive values can be used as guidelines to design better architectural works. Javanese traditional architecture is one of local architecture from the past which has positive values, even if it is done deeper study; it has Islamic values which can be used as principles in the process of Islamic architectural design. To achieve Islamic values in spatial pattern Javanese traditional architecture can be done through exploration and reviewing Javanese traditional architectural space afterward it is associated with Islamic values which are relevant with Al Qur’an and sunnah prophet. In fact is the spatial pattern in Javanese traditional architecture arrayed with beauty and also has Islamic valuable function. Those Islamic values are 1 high esteem guest (pendopo through providing wide and comfortable living room; 2 create divider (pringgitan which separate between living room and main room so that the privation can be kept; 3 separation the bed room (gandok kiwo and gandok tengen between parents and their children who are going mature and also between boys and girls; 4 provide praying room (senthong tengah to pray as family education and also as a place to pray to the God.

Adaptive Neuron Model: An architecture for the rapid learning of nonlinear topological transformations

Science.gov (United States)

Tawel, Raoul (Inventor)

1994-01-01

A method for the rapid learning of nonlinear mappings and topological transformations using a dynamically reconfigurable artificial neural network is presented. This fully-recurrent Adaptive Neuron Model (ANM) network was applied to the highly degenerate inverse kinematics problem in robotics, and its performance evaluation is bench-marked. Once trained, the resulting neuromorphic architecture was implemented in custom analog neural network hardware and the parameters capturing the functional transformation downloaded onto the system. This neuroprocessor, capable of 10(exp 9) ops/sec, was interfaced directly to a three degree of freedom Heathkit robotic manipulator. Calculation of the hardware feed-forward pass for this mapping was benchmarked at approximately 10 microsec.

A Topology Optimisation Approach to Learning in Architectural Design

DEFF Research Database (Denmark)

Mullins, Michael; Kirkegaard, Poul Henning; Jessen, Rasmus Zederkof

2005-01-01

describes an attempt to unify analytic and analogical approaches in an architectural education setting, using topology optimization software. It uses as examples recent student projects where the architectural design process based on a topology optimization approach has been investigated. The paper...

Catalyst Architecture:New York Copenhagen Tokyo Rio de Janeiro

OpenAIRE

Kiib, Hans; Marling, Gitte; Hansen, Peter Mandal

2014-01-01

How can architecture promote the enriching experiences of the tolerant, the democratic, and the learning city - a city worth living in, worth supporting and worth investing in?Catalyst Architecture comprises architectural projects, which, by virtue of their location, context and their combination of programs, have a role in mediating positive social and/or cultural development. In this sense, we talk about architecture as a catalyst for:sustainable adaptation of the city’s infrastructureappro...

Technology System Architecture for Web–Based Education

Directory of Open Access Journals (Sweden)

A. Canales–Cruz

2009-04-01

Full Text Available In this paper a new architecture for development of Web–Based Education systems is presented. The se systems are centered in the learner and adapted to their personals needs in intelligent form. The architecture is based on the IEEE 1484 LTSA (Learning Technology System Architecture specification and it assembles to software development and instructional design patterns. On the one hand, the software development pattern is supported under a Multi–Agents System, it employs the methods and technical of the Domain Engineering for development of IRLCOO (Intelligent Reusable Learning Components Object Oriented. IRLCOO are a special type of Sharable Content Object according to SCORM (Sharable Content Object Reusable Model. On the other hand, the instructional design pattern incorporates a mental model as the Conceptual Maps to transmit, build and generate appropriate knowledge to this educational environment type.

An OER Architecture Framework: Need and Design

Directory of Open Access Journals (Sweden)

Pankaj Khanna

2013-03-01

Full Text Available This paper describes an open educational resources (OER architecture framework that would bring significant improvements in a well-structured and systematic way to the educational practices of distance education institutions of India. The OER architecture framework is articulated with six dimensions: pedagogical, technological, managerial, academic, financial, and ethical. These dimensions are structured with the component areas of relevance: IT infrastructure services, management support systems, open content development and maintenance, online teaching-learning, and learner assessment and evaluation of the OER architecture framework. An OER knowledge and information base, including a web portal, is proposed in the form of a series of knowledge repositories. This system would not only streamline the delivery of distance education but also would enhance the quality of distance learning through the development of high quality e-content, instructional processes, course/programme content development, IT infrastructure, and network systems. Thus the proposed OER architecture framework when implemented in the distance education system (DES of India would improve the quality of distance education and also increase its accessibility in a well-organised and structured way.

Product Architecture Modularity Strategies

DEFF Research Database (Denmark)

Mikkola, Juliana Hsuan

2003-01-01

The focus of this paper is to integrate various perspectives on product architecture modularity into a general framework, and also to propose a way to measure the degree of modularization embedded in product architectures. Various trade-offs between modular and integral product architectures...... and how components and interfaces influence the degree of modularization are considered. In order to gain a better understanding of product architecture modularity as a strategy, a theoretical framework and propositions are drawn from various academic literature sources. Based on the literature review......, the following key elements of product architecture are identified: components (standard and new-to-the-firm), interfaces (standardization and specification), degree of coupling, and substitutability. A mathematical function, termed modularization function, is introduced to measure the degree of modularization...

Toward an Integration of Deep Learning and Neuroscience

Science.gov (United States)

Marblestone, Adam H.; Wayne, Greg; Kording, Konrad P.

2016-01-01

Neuroscience has focused on the detailed implementation of computation, studying neural codes, dynamics and circuits. In machine learning, however, artificial neural networks tend to eschew precisely designed codes, dynamics or circuits in favor of brute force optimization of a cost function, often using simple and relatively uniform initial architectures. Two recent developments have emerged within machine learning that create an opportunity to connect these seemingly divergent perspectives. First, structured architectures are used, including dedicated systems for attention, recursion and various forms of short- and long-term memory storage. Second, cost functions and training procedures have become more complex and are varied across layers and over time. Here we think about the brain in terms of these ideas. We hypothesize that (1) the brain optimizes cost functions, (2) the cost functions are diverse and differ across brain locations and over development, and (3) optimization operates within a pre-structured architecture matched to the computational problems posed by behavior. In support of these hypotheses, we argue that a range of implementations of credit assignment through multiple layers of neurons are compatible with our current knowledge of neural circuitry, and that the brain's specialized systems can be interpreted as enabling efficient optimization for specific problem classes. Such a heterogeneously optimized system, enabled by a series of interacting cost functions, serves to make learning data-efficient and precisely targeted to the needs of the organism. We suggest directions by which neuroscience could seek to refine and test these hypotheses. PMID:27683554

Open Distant Learning: Pedagogical Terms of Reference and Dilemmas

Science.gov (United States)

Tatkovic, Nevenka; Ruzic, Maja; Tatkovic, Sanja

2006-01-01

The paper first presents the essential viewpoints of general characteristics of open distance learning (OLD) and the short historical origins. The second part presents some pedagogical terms of reference for Open distance learning as the quality of ODL, the criteria of successful ODL (planning, successful interaction, work and emotional climate,…

Marginally Stable Triangular Recurrent Neural Network Architecture for Time Series Prediction.

Science.gov (United States)

Sivakumar, Seshadri; Sivakumar, Shyamala

2017-09-25

This paper introduces a discrete-time recurrent neural network architecture using triangular feedback weight matrices that allows a simplified approach to ensuring network and training stability. The triangular structure of the weight matrices is exploited to readily ensure that the eigenvalues of the feedback weight matrix represented by the block diagonal elements lie on the unit circle in the complex z-plane by updating these weights based on the differential of the angular error variable. Such placement of the eigenvalues together with the extended close interaction between state variables facilitated by the nondiagonal triangular elements, enhances the learning ability of the proposed architecture. Simulation results show that the proposed architecture is highly effective in time-series prediction tasks associated with nonlinear and chaotic dynamic systems with underlying oscillatory modes. This modular architecture with dual upper and lower triangular feedback weight matrices mimics fully recurrent network architectures, while maintaining learning stability with a simplified training process. While training, the block-diagonal weights (hence the eigenvalues) of the dual triangular matrices are constrained to the same values during weight updates aimed at minimizing the possibility of overfitting. The dual triangular architecture also exploits the benefit of parsing the input and selectively applying the parsed inputs to the two subnetworks to facilitate enhanced learning performance.

Application of Tessellation in Architectural Geometry Design

Science.gov (United States)

Chang, Wei

2018-06-01

Tessellation plays a significant role in architectural geometry design, which is widely used both through history of architecture and in modern architectural design with the help of computer technology. Tessellation has been found since the birth of civilization. In terms of dimensions, there are two- dimensional tessellations and three-dimensional tessellations; in terms of symmetry, there are periodic tessellations and aperiodic tessellations. Besides, some special types of tessellations such as Voronoi Tessellation and Delaunay Triangles are also included. Both Geometry and Crystallography, the latter of which is the basic theory of three-dimensional tessellations, need to be studied. In history, tessellation was applied into skins or decorations in architecture. The development of Computer technology enables tessellation to be more powerful, as seen in surface control, surface display and structure design, etc. Therefore, research on the application of tessellation in architectural geometry design is of great necessity in architecture studies.

Ambidexterity in drafting of architectural projects

OpenAIRE

Sanchis Madrid, María José

2017-01-01

Treball Final de Grau en Administració d'Empreses. Codi: AE1049. Curs acadèmic: 2016/2017 The approach of this project focuses on analizing the specific contributions of matching explotation and exploration in architectural project drafting, as well as stating the application of ambidexterity in architectural projects as a source of competitive advantage, starting from knowledge theory and organizational learning, by means of a case study.

Architecture in the Experience City

DEFF Research Database (Denmark)

Kiib, Hans

2009-01-01

. The article identifies new rationales related to this development, and it argues that ‘cultural planning' has increasingly shifted its focus from a cultural institutional approach to a more market-oriented strategy that combines art and business in a close relationship. The role of architecture has changed......This article focuses on the combination of programs and the architecture of cultural projects that have emerged within the last few years. These projects are characterized in the article as ‘hybrid cultural projects', because they intend to combine experience with entertainment, play and learning...... too. Architecture not only provides a functional framework for these concepts, but it increasingly tries to give the main idea of the cultural project a spatially aesthetic expression - a shift towards ‘experience architecture'. A great number of these projects typically recycles and reinterprets...

Constituent period in theoretization of minimalism in architecture

Directory of Open Access Journals (Sweden)

Stevanović Vladimir

2012-01-01

Full Text Available The paper analyzes architectural discourse that is formed around the term minimalism, between 1976 and 1999, a period that I consider constitutive for theorization of the term. The presentation is directed by two hypotheses: I minimalism in architecture does not have a continuous stream of origin, development, and is not a style, direction, movement, school, genre or trend in terms of how it is defined in disciplines such as art history, aesthetics and art theory II the fact that it's rare for an architect to declare himself a minimalist suggests that minimalism in architecture is actually a product or construct of an architectural discourse that emerged from the need to consolidate the existing obvious and widespread formal idiom in architecture partly during and after post-modernism. It is indicative that the writing of history of minimalism in architecture, in its most intensive period - the nineties, takes place mainly in three cities: London, Barcelona and Milan. In this sense, we can examine how each of these centers emphasized its role, through the ambition of minimalism in architecture to appear as an authentic local creation.

Mixed artefacts as mediators for collaborative learning

DEFF Research Database (Denmark)

Christiansen, Ellen Tove; Davidsen, Jacob; Konnerup, Ulla

2012-01-01

eLearningLab at Aalborg University conduct teaching and research in the intersection between Human Computer Interaction (technology), Information architecture (organization) and learning and development (human action). Inspired by the lay out of workshops spaces at architecture schools, eLearning...... Work and Computer Supported Collaborative Learning. This paper presents the ideas behind the eLearning Lab‘s DesignLab.......eLearningLab at Aalborg University conduct teaching and research in the intersection between Human Computer Interaction (technology), Information architecture (organization) and learning and development (human action). Inspired by the lay out of workshops spaces at architecture schools, eLearning......-through-construction as part of the Problem Based Learning pedagogy, and to increase students‘ awareness of the role of embodied interaction in learning. Simultaneously the Lab facilitates design of prototypes and exploration of use situations within the fields of Human-Computer Interaction, Computer Supported Cooperative...

Decentralized Software Architecture

National Research Council Canada - National Science Library

Khare, Rohit

2002-01-01

.... While the term "decentralization" is familiar from political and economic contexts, it has been applied extensively, if indiscriminately, to describe recent trends in software architecture towards...

Future city architecture for optimal living

CERN Document Server

Pardalos, Panos

2015-01-01

  This book offers a wealth of interdisciplinary approaches to urbanization strategies in architecture centered on growing concerns about the future of cities and their impacts on essential elements of architectural optimization, livability, energy consumption and sustainability. It portrays the urban condition in architectural terms, as well as the living condition in human terms, both of which can be optimized by mathematical modeling as well as mathematical calculation and assessment.   Special features include:   ·        new research on the construction of future cities and smart cities   ·        discussions of sustainability and new technologies designed to advance ideas to future city developments   Graduate students and researchers in architecture, engineering, mathematical modeling, and building physics will be engaged by the contributions written by eminent international experts from a variety of disciplines including architecture, engineering, modeling, optimization, and relat...

Traffic Flow Prediction with Rainfall Impact Using a Deep Learning Method

Directory of Open Access Journals (Sweden)

Yuhan Jia

2017-01-01

Full Text Available Accurate traffic flow prediction is increasingly essential for successful traffic modeling, operation, and management. Traditional data driven traffic flow prediction approaches have largely assumed restrictive (shallow model architectures and do not leverage the large amount of environmental data available. Inspired by deep learning methods with more complex model architectures and effective data mining capabilities, this paper introduces the deep belief network (DBN and long short-term memory (LSTM to predict urban traffic flow considering the impact of rainfall. The rainfall-integrated DBN and LSTM can learn the features of traffic flow under various rainfall scenarios. Experimental results indicate that, with the consideration of additional rainfall factor, the deep learning predictors have better accuracy than existing predictors and also yield improvements over the original deep learning models without rainfall input. Furthermore, the LSTM can outperform the DBN to capture the time series characteristics of traffic flow data.

A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals.

Science.gov (United States)

Tsiouris, Κostas Μ; Pezoulas, Vasileios C; Zervakis, Michalis; Konitsiotis, Spiros; Koutsouris, Dimitrios D; Fotiadis, Dimitrios I

2018-05-17

The electroencephalogram (EEG) is the most prominent means to study epilepsy and capture changes in electrical brain activity that could declare an imminent seizure. In this work, Long Short-Term Memory (LSTM) networks are introduced in epileptic seizure prediction using EEG signals, expanding the use of deep learning algorithms with convolutional neural networks (CNN). A pre-analysis is initially performed to find the optimal architecture of the LSTM network by testing several modules and layers of memory units. Based on these results, a two-layer LSTM network is selected to evaluate seizure prediction performance using four different lengths of preictal windows, ranging from 15 min to 2 h. The LSTM model exploits a wide range of features extracted prior to classification, including time and frequency domain features, between EEG channels cross-correlation and graph theoretic features. The evaluation is performed using long-term EEG recordings from the open CHB-MIT Scalp EEG database, suggest that the proposed methodology is able to predict all 185 seizures, providing high rates of seizure prediction sensitivity and low false prediction rates (FPR) of 0.11-0.02 false alarms per hour, depending on the duration of the preictal window. The proposed LSTM-based methodology delivers a significant increase in seizure prediction performance compared to both traditional machine learning techniques and convolutional neural networks that have been previously evaluated in the literature. Copyright © 2018 Elsevier Ltd. All rights reserved.

Short-Term Memory, Executive Control, and Children's Route Learning

Science.gov (United States)

Purser, Harry R. M.; Farran, Emily K.; Courbois, Yannick; Lemahieu, Axelle; Mellier, Daniel; Sockeel, Pascal; Blades, Mark

2012-01-01

The aim of this study was to investigate route-learning ability in 67 children aged 5 to 11 years and to relate route-learning performance to the components of Baddeley's model of working memory. Children carried out tasks that included measures of verbal and visuospatial short-term memory and executive control and also measures of verbal and…

A neuromorphic architecture for object recognition and motion anticipation using burst-STDP.

Directory of Open Access Journals (Sweden)

Andrew Nere

Full Text Available In this work we investigate the possibilities offered by a minimal framework of artificial spiking neurons to be deployed in silico. Here we introduce a hierarchical network architecture of spiking neurons which learns to recognize moving objects in a visual environment and determine the correct motor output for each object. These tasks are learned through both supervised and unsupervised spike timing dependent plasticity (STDP. STDP is responsible for the strengthening (or weakening of synapses in relation to pre- and post-synaptic spike times and has been described as a Hebbian paradigm taking place both in vitro and in vivo. We utilize a variation of STDP learning, called burst-STDP, which is based on the notion that, since spikes are expensive in terms of energy consumption, then strong bursting activity carries more information than single (sparse spikes. Furthermore, this learning algorithm takes advantage of homeostatic renormalization, which has been hypothesized to promote memory consolidation during NREM sleep. Using this learning rule, we design a spiking neural network architecture capable of object recognition, motion detection, attention towards important objects, and motor control outputs. We demonstrate the abilities of our design in a simple environment with distractor objects, multiple objects moving concurrently, and in the presence of noise. Most importantly, we show how this neural network is capable of performing these tasks using a simple leaky-integrate-and-fire (LIF neuron model with binary synapses, making it fully compatible with state-of-the-art digital neuromorphic hardware designs. As such, the building blocks and learning rules presented in this paper appear promising for scalable fully neuromorphic systems to be implemented in hardware chips.

Quantum perceptron over a field and neural network architecture selection in a quantum computer.

Science.gov (United States)

da Silva, Adenilton José; Ludermir, Teresa Bernarda; de Oliveira, Wilson Rosa

2016-04-01

In this work, we propose a quantum neural network named quantum perceptron over a field (QPF). Quantum computers are not yet a reality and the models and algorithms proposed in this work cannot be simulated in actual (or classical) computers. QPF is a direct generalization of a classical perceptron and solves some drawbacks found in previous models of quantum perceptrons. We also present a learning algorithm named Superposition based Architecture Learning algorithm (SAL) that optimizes the neural network weights and architectures. SAL searches for the best architecture in a finite set of neural network architectures with linear time over the number of patterns in the training set. SAL is the first learning algorithm to determine neural network architectures in polynomial time. This speedup is obtained by the use of quantum parallelism and a non-linear quantum operator. Copyright © 2016 Elsevier Ltd. All rights reserved.

Optimal causal inference: estimating stored information and approximating causal architecture.

Science.gov (United States)

Still, Susanne; Crutchfield, James P; Ellison, Christopher J

2010-09-01

We introduce an approach to inferring the causal architecture of stochastic dynamical systems that extends rate-distortion theory to use causal shielding--a natural principle of learning. We study two distinct cases of causal inference: optimal causal filtering and optimal causal estimation. Filtering corresponds to the ideal case in which the probability distribution of measurement sequences is known, giving a principled method to approximate a system's causal structure at a desired level of representation. We show that in the limit in which a model-complexity constraint is relaxed, filtering finds the exact causal architecture of a stochastic dynamical system, known as the causal-state partition. From this, one can estimate the amount of historical information the process stores. More generally, causal filtering finds a graded model-complexity hierarchy of approximations to the causal architecture. Abrupt changes in the hierarchy, as a function of approximation, capture distinct scales of structural organization. For nonideal cases with finite data, we show how the correct number of the underlying causal states can be found by optimal causal estimation. A previously derived model-complexity control term allows us to correct for the effect of statistical fluctuations in probability estimates and thereby avoid overfitting.

A comparison of 1D and 2D LSTM architectures for the recognition of handwritten Arabic

Science.gov (United States)

Yousefi, Mohammad Reza; Soheili, Mohammad Reza; Breuel, Thomas M.; Stricker, Didier

2015-01-01

In this paper, we present an Arabic handwriting recognition method based on recurrent neural network. We use the Long Short Term Memory (LSTM) architecture, that have proven successful in different printed and handwritten OCR tasks. Applications of LSTM for handwriting recognition employ the two-dimensional architecture to deal with the variations in both vertical and horizontal axis. However, we show that using a simple pre-processing step that normalizes the position and baseline of letters, we can make use of 1D LSTM, which is faster in learning and convergence, and yet achieve superior performance. In a series of experiments on IFN/ENIT database for Arabic handwriting recognition, we demonstrate that our proposed pipeline can outperform 2D LSTM networks. Furthermore, we provide comparisons with 1D LSTM networks trained with manually crafted features to show that the automatically learned features in a globally trained 1D LSTM network with our normalization step can even outperform such systems.

The Politics of Governance Architectures

DEFF Research Database (Denmark)

Borrás, Susana; Radaelli, Claudio M.

2011-01-01

Governance architectures are strategic and long-term institutional arrangements of international organizations exhibiting three features; namely, they address strategic and long-term problems in a holistic manner, they set substantive output-oriented goals, and they are implemented through...... not being identified as an object of study on its own right. We define the Lisbon Strategy as a case of governance architecture, raising questions about its creation, evolution and impact at the national level. We tackle these questions by drawing on institutional theories about emergence and change...

Learning Methods for Efficient Adoption of Contemporary Technologies in Architectural Design

Science.gov (United States)

Mahdavinejad, Mohammadjavad; Dehghani, Sohaib; Shahsavari, Fatemeh

2013-01-01

The interaction between technology and history is one of the most significant issues in achieving an efficient and progressive architecture in any era. This is a concept which stems from lesson of traditional architecture of Iran. Architecture as a part of art, has permanently been transforming just like a living organism. In fact, it has been…

The relative kicking frequency of infants born full-term and preterm during learning and short-term and long-term memory periods of the mobile paradigm.

Science.gov (United States)

Heathcock, Jill C; Bhat, Anjana N; Lobo, Michele A; Galloway, James C

2005-01-01

Infants born preterm differ in their spontaneous kicking, as well as their learning and memory abilities in the mobile paradigm, compared with infants born full-term. In the mobile paradigm, a supine infant's ankle is tethered to a mobile so that leg kicks cause a proportional amount of mobile movement. The purpose of this study was to investigate the relative kicking frequency of the tethered (right) and nontethered (left) legs in these 2 groups of infants. Ten infants born full-term and 10 infants born preterm (infants participated in the study. The relative kicking frequencies of the tethered and nontethered legs were analyzed during learning and short-term and long-term memory periods of the mobile paradigm. Infants born full-term showed an increase in the relative kicking frequency of the tethered leg during the learning period and the short-term memory period but not for the long-term memory period. Infants born preterm did not show a change in kicking pattern for learning or memory periods, and consistently kicked both legs in relatively equal amounts. Infants born full-term adapted their baseline kicking frequencies in a task-specific manner to move the mobile and then retained this adaptation for the short-term memory period. In contrast, infants born preterm showed no adaptation, suggesting a lack of purposeful leg control. This lack of control may reflect a general decrease in the ability of infants born preterm to use their limb movements to interact with their environment. As such, the mobile paradigm may be clinically useful in the early assessment and intervention of infants born preterm and at risk for future impairment.

Hebb learning, verbal short-term memory, and the acquisition of phonological forms in children.

Science.gov (United States)

Mosse, Emma K; Jarrold, Christopher

2008-04-01

Recent work using the Hebb effect as a marker for implicit long-term acquisition of serial order has demonstrated a functional equivalence across verbal and visuospatial short-term memory. The current study extends this observation to a sample of five- to six-year-olds using verbal and spatial immediate serial recall and also correlates the magnitude of Hebb learning with explicit measures of word and nonword paired-associate learning. Comparable Hebb effects were observed in both domains, but only nonword learning was significantly related to the magnitude of Hebb learning. Nonword learning was also independently related to individuals' general level of verbal serial recall. This suggests that vocabulary acquisition depends on both a domain-specific short-term memory system and a domain-general process of learning through repetition.

Memorization techniques: Using mnemonics to learn fifth grade science terms

Science.gov (United States)

Garcia, Juan O.

The purpose of this study was to determine whether mnemonic instruction could assist students in learning fifth-grade science terminology more effectively than traditional-study methods of recall currently in practice The task was to examine if fifth-grade students were able to learn a mnemonic and then use it to understand science vocabulary; subsequently, to determine if students were able to remember the science terms after a period of time. The problem is that in general, elementary school students are not being successful in science achievement at the fifth grade level. In view of this problem, if science performance is increased at the elementary level, then it is likely that students will be successful when tested at the 8th and 10th grade in science with the Texas Assessment of Knowledge and Skills (TAKS) in the future. Two research questions were posited: (1) Is there a difference in recall achievement when a mnemonic such as method of loci, pegword method, or keyword method is used in learning fifth-grade science vocabulary as compared to the traditional-study method? (2) If using a mnemonic in learning fifth-grade science vocabulary was effective on recall achievement, would this achievement be maintained over a span of time? The need for this study was to assist students in learning science terms and concepts for state accountability purposes. The first assumption was that memorization techniques are not commonly applied in fifth-grade science classes in elementary schools. A second assumption was that mnemonic devices could be used successfully in learning science terms and increase long term retention. The first limitation was that the study was conducted on one campus in one school district in South Texas which limited the generalization of the study. The second limitation was that it included random assigned intact groups as opposed to random student assignment to fifth-grade classroom groups.

Essential software architecture

CERN Document Server

Gorton, Ian

2011-01-01

Job titles like ""Technical Architect"" and ""Chief Architect"" nowadays abound in software industry, yet many people suspect that ""architecture"" is one of the most overused and least understood terms in professional software development. Gorton's book tries to resolve this dilemma. It concisely describes the essential elements of knowledge and key skills required to be a software architect. The explanations encompass the essentials of architecture thinking, practices, and supporting technologies. They range from a general understanding of structure and quality attributes through technical i

Unibot, a Universal Agent Architecture for Robots

Directory of Open Access Journals (Sweden)

Saša Mladenović

2017-01-01

Full Text Available Today there are numerous robots in different applications domains despite the fact that they still have limitations in perception, actuation and decision process. Consequently, robots usually have limited autonomy, they are domain specific or have difficulty to adapt on new environments. Learning is the property that makes an agent intelligent and the crucial property that a robot should have to proliferate into the human society. Embedding the learning ability into the robot may simplify the development of the robot control mechanism. The motivation for this research is to develop the agent architecture of the universal robot – Unibot. In our approach the agent is the robot i.e. Unibot that acts in the physical world and is capable of learning. The Unibot conducts several simultaneous simulations of a problem of interest like path-finding. The novelty in our approach is the Multi-Agent Decision Support System which is developed and integrated into the Unibot agent architecture in order to execute simultaneous simulations. Furthermore, the Unibot calculates and evaluates between multiple solutions, decides which action should be performed and performs the action. The prototype of the Unibot agent architecture is described and evaluated in the experiment supported by the Lego Mindstorms robot and the NetLogo.

The contribution of phonological short-term memory to artificial grammar learning.

Science.gov (United States)

Andrade, Jackie; Baddeley, Alan

2011-05-01

Three experiments investigated the contribution of phonological short-term memory (STM) to grammar learning by manipulating rehearsal during study of an auditory artificial grammar made up from a vocabulary of spoken Mandarin syllables. Experiment 1 showed that concurrent, irrelevant articulation impaired grammar learning compared with a nonverbal control task. Experiment 2 replicated and extended this finding, showing that repeating the grammatical strings at study improved grammar learning compared with suppressing rehearsal or remaining silent during learning. Experiment 3 found no effects of rehearsal on grammar learning once participants had learned the component syllables. The findings suggest that phonological STM aids artificial grammar learning via effects on vocabulary learning.

Music Learning with Long Short Term Memory Networks

OpenAIRE

Colombo, Florian François

2015-01-01

Humans are able to learn and compose complex, yet beautiful, pieces of music as seen in e.g. the highly complicated works of J.S. Bach. However, how our brain is able to store and produce these very long temporal sequences is still an open question. Long short-term memory (LSTM) artificial neural networks have been shown to be efficient in sequence learning tasks thanks to their inherent ability to bridge long time lags between input events and their target signals. Here, I investigate the po...

eLearning, knowledge brokering, and nursing: strengthening collaborative practice in long-term care.

Science.gov (United States)

Halabisky, Brenda; Humbert, Jennie; Stodel, Emma J; MacDonald, Colla J; Chambers, Larry W; Doucette, Suzanne; Dalziel, William B; Conklin, James

2010-01-01

Interprofessional collaboration is vital to the delivery of quality care in long-term care settings; however, caregivers in long-term care face barriers to participating in training programs to improve collaborative practices. Consequently, eLearning can be used to create an environment that combines convenient, individual learning with collaborative experiential learning. Findings of this study revealed that learners enjoyed the flexibility of the Working Together learning resource. They acquired new knowledge and skills that they were able to use in their practice setting to achieve higher levels of collaborative practice. Nurses were identified as team leaders because of their pivotal role in the long-term care home and collaboration with all patient care providers. Nurses are ideal as knowledge brokers for the collaborative practice team. Quantitative findings showed no change in learner's attitudes regarding collaborative practice; however, interviews provided examples of positive changes experienced. Face-to-face collaboration was found to be a challenge, and changes to organizations, systems, and technology need to be made to facilitate this process. The Working Together learning resource is an important first step toward strengthening collaboration in long-term care, and the pilot implementation provides insights that further our understanding of both interprofessional collaboration and effective eLearning.

Optimal long-term contracting with learning

OpenAIRE

He, Zhiguo; Wei, Bin; Yu, Jianfeng; Gao, Feng

2016-01-01

We introduce uncertainty into Holmstrom and Milgrom (1987) to study optimal long-term contracting with learning. In a dynamic relationship, the agent's shirking not only reduces current performance but also increases the agent's information rent due to the persistent belief manipulation effect. We characterize the optimal contract using the dynamic programming technique in which information rent is the unique state variable. In the optimal contract, the optimal effort is front-loaded and decr...

The VREST learning environment.

Science.gov (United States)

Kunst, E E; Geelkerken, R H; Sanders, A J B

2005-01-01

The VREST learning environment is an integrated architecture to improve the education of health care professionals. It is a combination of a learning, content and assessment management system based on virtual reality. The generic architecture is now being build and tested around the Lichtenstein protocol for hernia inguinalis repair.

GREENING THE ARCHITECTURAL CURRICULUM IN ALL THE MALAYSIAN INSTITUTES OF HIGHER LEARNING- IT IS NOT AN OPTION

Directory of Open Access Journals (Sweden)

Abdul Malik Abdul Rahman

2010-07-01

Full Text Available Preparations toward sustainability and energy efficiency in buildings begun about a decade ago with many aspects of tangible and intangible results such as the existence of a The Ministry of Energy, Green Technology & Water (MEGTW - Low Energy Office, The Malaysian Energy Center (Green Energy Office and the forthcoming office building for the Energy Commission known as the Green Office. Other initiatives are the high efficient motor, the increase of the electricity tariffs, the introduction of the Renewable Energy as the 5th Fuel Policy with a national campaign known as the Suria 1000 where the use of solar electricity for the building industry is encouraged. At the same time there needs a parallel development for the critical mass otherwise initial noble efforts would be jeopardized due to lack of knowledge and skill support infrastructure. Training has been going on but only for specific tasks initiated either by non-governmental organizations (NGOs or government agencies. But as for the architecture profession, the efforts fully depended on individuals’ interests and passion. This slows the process of assimilation and adaptation. There should be a thorough awareness throughout the practicing and academic architects as to the seriousness of having green buildings as the next future direction for Malaysian buildings. This paper does not attempt to set an agenda for education in architecture but rather to espouse the idea. It sets to show one way to accelerate the change in the mindsets of architects as a whole towards designing for architectural sustainability, is to revamp the architectural courses and curriculums in institutes of higher learning.

Reconfiguring Course Design in Virtual Learning Environments

DEFF Research Database (Denmark)

Mullins, Michael; Zupancic, Tadeja

2007-01-01

for architectural students offers some innovative insights into experientially oriented educational interfaces. A comparative analysis of VIPA courses and project results are presented in the paper. Special attention in the discussion is devoted to the improvements of e-learning solutions in architecture......Although many administrators and educators are familiar with e-learning programs, learning management systems and portals, fewer may have experience with virtual distributed learning environments and their academic relevance. The blended learning experience of the VIPA e-learning project....... The criterion of the relation between the actual applicability of selected e-learning solutions and elements of collaborative educational interfaces with VR are taken into account. A system of e-learning applicability levels in program and course development and implementation of architectural tectonics...

Does supporting multiple student strategies lead to greater learning and motivation? Investigating a source of complexity in the architecture of intelligent tutoring systems

NARCIS (Netherlands)

Waalkens, Maaike; Aleven, Vincent; Taatgen, Niels

Intelligent tutoring systems (ITS) support students in learning a complex problem-solving skill. One feature that makes an ITS architecturally complex, and hard to build, is support for strategy freedom, that is, the ability to let students pursue multiple solution strategies within a given problem.

Supporting Undergraduate Computer Architecture Students Using a Visual MIPS64 CPU Simulator

Science.gov (United States)

Patti, D.; Spadaccini, A.; Palesi, M.; Fazzino, F.; Catania, V.

2012-01-01

The topics of computer architecture are always taught using an Assembly dialect as an example. The most commonly used textbooks in this field use the MIPS64 Instruction Set Architecture (ISA) to help students in learning the fundamentals of computer architecture because of its orthogonality and its suitability for real-world applications. This…

A Novel Unsupervised Adaptive Learning Method for Long-Term Electromyography (EMG) Pattern Recognition

Science.gov (United States)

Huang, Qi; Yang, Dapeng; Jiang, Li; Zhang, Huajie; Liu, Hong; Kotani, Kiyoshi

2017-01-01

Performance degradation will be caused by a variety of interfering factors for pattern recognition-based myoelectric control methods in the long term. This paper proposes an adaptive learning method with low computational cost to mitigate the effect in unsupervised adaptive learning scenarios. We presents a particle adaptive classifier (PAC), by constructing a particle adaptive learning strategy and universal incremental least square support vector classifier (LS-SVC). We compared PAC performance with incremental support vector classifier (ISVC) and non-adapting SVC (NSVC) in a long-term pattern recognition task in both unsupervised and supervised adaptive learning scenarios. Retraining time cost and recognition accuracy were compared by validating the classification performance on both simulated and realistic long-term EMG data. The classification results of realistic long-term EMG data showed that the PAC significantly decreased the performance degradation in unsupervised adaptive learning scenarios compared with NSVC (9.03% ± 2.23%, p < 0.05) and ISVC (13.38% ± 2.62%, p = 0.001), and reduced the retraining time cost compared with ISVC (2 ms per updating cycle vs. 50 ms per updating cycle). PMID:28608824

A Novel Unsupervised Adaptive Learning Method for Long-Term Electromyography (EMG Pattern Recognition

Directory of Open Access Journals (Sweden)

Qi Huang

2017-06-01

Full Text Available Performance degradation will be caused by a variety of interfering factors for pattern recognition-based myoelectric control methods in the long term. This paper proposes an adaptive learning method with low computational cost to mitigate the effect in unsupervised adaptive learning scenarios. We presents a particle adaptive classifier (PAC, by constructing a particle adaptive learning strategy and universal incremental least square support vector classifier (LS-SVC. We compared PAC performance with incremental support vector classifier (ISVC and non-adapting SVC (NSVC in a long-term pattern recognition task in both unsupervised and supervised adaptive learning scenarios. Retraining time cost and recognition accuracy were compared by validating the classification performance on both simulated and realistic long-term EMG data. The classification results of realistic long-term EMG data showed that the PAC significantly decreased the performance degradation in unsupervised adaptive learning scenarios compared with NSVC (9.03% ± 2.23%, p < 0.05 and ISVC (13.38% ± 2.62%, p = 0.001, and reduced the retraining time cost compared with ISVC (2 ms per updating cycle vs. 50 ms per updating cycle.

Healthy eating design guidelines for school architecture.

Science.gov (United States)

Huang, Terry T-K; Sorensen, Dina; Davis, Steven; Frerichs, Leah; Brittin, Jeri; Celentano, Joseph; Callahan, Kelly; Trowbridge, Matthew J

2013-01-01

We developed a new tool, Healthy Eating Design Guidelines for School Architecture, to provide practitioners in architecture and public health with a practical set of spatially organized and theory-based strategies for making school environments more conducive to learning about and practicing healthy eating by optimizing physical resources and learning spaces. The design guidelines, developed through multidisciplinary collaboration, cover 10 domains of the school food environment (eg, cafeteria, kitchen, garden) and 5 core healthy eating design principles. A school redesign project in Dillwyn, Virginia, used the tool to improve the schools' ability to adopt a healthy nutrition curriculum and promote healthy eating. The new tool, now in a pilot version, is expected to evolve as its components are tested and evaluated through public health and design research.

Architecture for Collaborative Learning Activities in Hybrid Learning Environments

OpenAIRE

Ibáñez, María Blanca; Maroto, David; García Rueda, José Jesús; Leony, Derick; Delgado Kloos, Carlos

2012-01-01

3D virtual worlds are recognized as collaborative learning environments. However, the underlying technology is not sufficiently mature and the virtual worlds look cartoonish, unlinked to reality. Thus, it is important to enrich them with elements from the real world to enhance student engagement in learning activities. Our approach is to build learning environments where participants can either be in the real world or in its mirror world while sharing the same hybrid space in a collaborative ...

Bilateral Learning and Teaching in Chinese-Australian Arts and Architecture

Science.gov (United States)

Joubert, Lindy; Whitford, Steven

2006-01-01

A collaborative design-based, cross-cultural exchange between the Chinese School of Architecture, Tsinghua University of Beijing, and the Faculty of Architecture, Building, and Planning at the University of Melbourne is the case study presented in this article. Two design studios were conducted: one in the Master of Urban Design program, and the…

5G technologies boosting efficient mobile learning

Directory of Open Access Journals (Sweden)

Leligou Helen C.

2017-01-01

Full Text Available The needs for education, learning and training proliferate primarily due to the facts that economy becomes more and more knowledge based (mandating continuous lifelong learning and people migrate among countries, which introduces the need for learning other languages, for training on different skills and learning about the new cultural and societal framework. Given that in parallel, time schedules continuously become tighter, learning through mobile devices continuously gains in popularity as it allows for learning anytime, anywhere. To increase the learning efficiency, personalisation (in terms of selecting the learning content, type and presentation and adaptation of the learning experience in real time based on the experienced affect state are key instruments. All these user requirements challenge the current network architectures and technologies. In this paper, we investigate the requirements implied by efficient mobile learning scenarios and we explore how 5G technologies currently under design/testing/validation and standardisation meet these requirements.

Virtual Reality As A Spatial Experience For Architecture Design: A Study of Effectiveness for Architecture Students

Directory of Open Access Journals (Sweden)

Sapto Pamungkas Luhur

2018-01-01

Full Text Available Studios. This ability gained through visual design thinking. The spatial experience honed by three dimensional thinking from the medium diversity. The spatial experience learned through a room layout, proportion, and composition. This research used an experimental method and the primary data obtained by a “Likert” scale questionnaire. The Respondents are 50 students of the Architectural Design Studio. Moreover, the analysis focuses on the VR for spatial experience. The result was a descriptive explanation of the effectiveness of Virtual Reality for a spatial experience of architecture students at Technology University of Yogyakarta.

Component-Based Approach in Learning Management System Development

Science.gov (United States)

Zaitseva, Larisa; Bule, Jekaterina; Makarov, Sergey

2013-01-01

The paper describes component-based approach (CBA) for learning management system development. Learning object as components of e-learning courses and their metadata is considered. The architecture of learning management system based on CBA being developed in Riga Technical University, namely its architecture, elements and possibilities are…

Neural classifiers for learning higher-order correlations

International Nuclear Information System (INIS)

Gueler, M.

1999-01-01

Studies by various authors suggest that higher-order networks can be more powerful and biologically more plausible with respect to the more traditional multilayer networks. These architecture make explicit use of nonlinear interactions between input variables in the form of higher-order units or product units. If it is known a priori that the problem to be implemented possesses a given set of invariances like in the translation, rotation, and scale invariant recognition problems, those invariances can be encoded, thus eliminating all higher-order terms which are incompatible with the invariances. In general, however, it is a serious set-back that the complexity of learning increases exponentially with the size of inputs. This paper reviews higher-order networks and introduces an implicit representation in which learning complexity is mainly decided by the number of higher-order terms to be learned and increases only linearly with the input size

Neural Classifiers for Learning Higher-Order Correlations

Science.gov (United States)

Güler, Marifi

1999-01-01

Studies by various authors suggest that higher-order networks can be more powerful and are biologically more plausible with respect to the more traditional multilayer networks. These architectures make explicit use of nonlinear interactions between input variables in the form of higher-order units or product units. If it is known a priori that the problem to be implemented possesses a given set of invariances like in the translation, rotation, and scale invariant pattern recognition problems, those invariances can be encoded, thus eliminating all higher-order terms which are incompatible with the invariances. In general, however, it is a serious set-back that the complexity of learning increases exponentially with the size of inputs. This paper reviews higher-order networks and introduces an implicit representation in which learning complexity is mainly decided by the number of higher-order terms to be learned and increases only linearly with the input size.

The SAMPLE experience: The development of a rich media online mathematics learning environment

OpenAIRE

Chang, Jen

2006-01-01

This report documents the development of Sample Architecture for Mathematically Productive Learning Experiences (SAMPLE), a rich media, online, mathematics learning environment created to meet the needs of middle school educators. It explores some of the current pedagogical challenges in mathematics education, and their amplified impacts when coupled with under-prepared teachers, a decidedly wide-spread phenomenon. The SAMPLE publishing experience is discussed in terms of its instructional de...

Teaching Creative Thinking through Architectural Design

Science.gov (United States)

Jeon, Kijeong; Cotner, Teresa L.

2010-01-01

Art and art education are open to broader definitions in the twenty-first century. It is time that teachers seriously think about including built environment design in K-12 art education. The term "built environment" includes interior design, architecture, landscape architecture, and urban planning. Due to increased exposure to built environment…

MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.

Science.gov (United States)

Mutasa, Simukayi; Chang, Peter D; Ruzal-Shapiro, Carrie; Ayyala, Rama

2018-02-05

Bone age assessment (BAA) is a commonly performed diagnostic study in pediatric radiology to assess skeletal maturity. The most commonly utilized method for assessment of BAA is the Greulich and Pyle method (Pediatr Radiol 46.9:1269-1274, 2016; Arch Dis Child 81.2:172-173, 1999) atlas. The evaluation of BAA can be a tedious and time-consuming process for the radiologist. As such, several computer-assisted detection/diagnosis (CAD) methods have been proposed for automation of BAA. Classical CAD tools have traditionally relied on hard-coded algorithmic features for BAA which suffer from a variety of drawbacks. Recently, the advent and proliferation of convolutional neural networks (CNNs) has shown promise in a variety of medical imaging applications. There have been at least two published applications of using deep learning for evaluation of bone age (Med Image Anal 36:41-51, 2017; JDI 1-5, 2017). However, current implementations are limited by a combination of both architecture design and relatively small datasets. The purpose of this study is to demonstrate the benefits of a customized neural network algorithm carefully calibrated to the evaluation of bone age utilizing a relatively large institutional dataset. In doing so, this study will aim to show that advanced architectures can be successfully trained from scratch in the medical imaging domain and can generate results that outperform any existing proposed algorithm. The training data consisted of 10,289 images of different skeletal age examinations, 8909 from the hospital Picture Archiving and Communication System at our institution and 1383 from the public Digital Hand Atlas Database. The data was separated into four cohorts, one each for male and female children above the age of 8, and one each for male and female children below the age of 10. The testing set consisted of 20 radiographs of each 1-year-age cohort from 0 to 1 years to 14-15+ years, half male and half female. The testing set included left

The Development of Automaticity in Short-Term Memory Search: Item-Response Learning and Category Learning

Science.gov (United States)

Cao, Rui; Nosofsky, Robert M.; Shiffrin, Richard M.

2017-01-01

In short-term-memory (STM)-search tasks, observers judge whether a test probe was present in a short list of study items. Here we investigated the long-term learning mechanisms that lead to the highly efficient STM-search performance observed under conditions of consistent-mapping (CM) training, in which targets and foils never switch roles across…

Neural Monkey: An Open-source Tool for Sequence Learning

Directory of Open Access Journals (Sweden)

Helcl Jindřich

2017-04-01

Full Text Available In this paper, we announce the development of Neural Monkey – an open-source neural machine translation (NMT and general sequence-to-sequence learning system built over the TensorFlow machine learning library. The system provides a high-level API tailored for fast prototyping of complex architectures with multiple sequence encoders and decoders. Models’ overall architecture is specified in easy-to-read configuration files. The long-term goal of the Neural Monkey project is to create and maintain a growing collection of implementations of recently proposed components or methods, and therefore it is designed to be easily extensible. Trained models can be deployed either for batch data processing or as a web service. In the presented paper, we describe the design of the system and introduce the reader to running experiments using Neural Monkey.

How artists learn to love architects

DEFF Research Database (Denmark)

Unterrainer, Walter

2015-01-01

How artists learn to love architects Prof. Walter Unterrainer Aarhus School of Architecture Over the last two decades, innumerable new museums and other exhibition spaces have been built and opened all over the globe. The most extreme growth happened in China, where the number of museums went up...... surprises: in many cities, the buildings for art are much better known and more published than the art they accommodate. A lot of them are considered as artistic objects. This raises two questions: How much is architecture itself a form of arts? - but more relevant: what are appropriate architectural spaces...... art and even do not fulfil basic technical aspects in terms of a consistent indoor climate, optimized lighting or safety. The lecture focuses on inspiring examples of spaces for art, where famous (Renzo Piano, Peter Zumthor) or not so famous (Heinz Tesar, Gigon and Guyer) architects have designed...

Software Reuse in the Naval Open Architecture

National Research Council Canada - National Science Library

Greathouse, Carlus A

2008-01-01

This thesis describes a web-based continuous learning module (CLM) for use in introducing members of the Department of the Navy s acquisition community to software reuse in the context of Naval Open Architecture...

A shared synapse architecture for efficient FPGA implementation of autoencoders.

Science.gov (United States)

Suzuki, Akihiro; Morie, Takashi; Tamukoh, Hakaru

2018-01-01

This paper proposes a shared synapse architecture for autoencoders (AEs), and implements an AE with the proposed architecture as a digital circuit on a field-programmable gate array (FPGA). In the proposed architecture, the values of the synapse weights are shared between the synapses of an input and a hidden layer, and between the synapses of a hidden and an output layer. This architecture utilizes less of the limited resources of an FPGA than an architecture which does not share the synapse weights, and reduces the amount of synapse modules used by half. For the proposed circuit to be implemented into various types of AEs, it utilizes three kinds of parameters; one to change the number of layers' units, one to change the bit width of an internal value, and a learning rate. By altering a network configuration using these parameters, the proposed architecture can be used to construct a stacked AE. The proposed circuits are logically synthesized, and the number of their resources is determined. Our experimental results show that single and stacked AE circuits utilizing the proposed shared synapse architecture operate as regular AEs and as regular stacked AEs. The scalability of the proposed circuit and the relationship between the bit widths and the learning results are also determined. The clock cycles of the proposed circuits are formulated, and this formula is used to estimate the theoretical performance of the circuit when the circuit is used to construct arbitrary networks.

Autodesk Revit Architecture 2014 fundamentals metric

CERN Document Server

ASCENT center for technical knowledge

2014-01-01

The Autodesk® Revit® Architecture software is a powerful Building Information Modeling (BIM) program that works the way Architects think. From Preliminary Design through Design Development, and into Construction Documents, the program streamlines the design process with a central 3D model. Changes made in one view update across all views and on the printable sheets. This training guide is designed to teach you the Autodesk Revit functionality as you would work with it in the design process. You begin by learning about the user interface and the Autodesk Revit commands for design development followed by those available for construction documentation. Since building projects themselves tend to be extremely complex, the Autodesk Revit Architecture software is also complex. The objective of the Autodesk Revit Architecture 2014 Fundamentals training guide is to enable students to create full 3D architectural project models and set them up in working drawings. This training guide focuses on basic tools that the ...

Developing a Complete and Effective ACT-R Architecture

National Research Council Canada - National Science Library

Anderson, John R; Lebiere, Christian

2008-01-01

The Carnegie Mellon University team focused on extending their current cognitive architecture, ACT-R, to show how visual imagery, language, emotion and meta-cognition affect learning, memory, and reasoning...

Long-term Risedronate Treatment Normalizes Mineralization and Continues to Preserve Trabecular Architecture: Sequential Triple Biopsy Studies with Micro-Computed Tomography

International Nuclear Information System (INIS)

Borah, B.; Dufresne, T.; Ritman, E.; Jorgensen, S.; Liu, S.; Chmielewski, P.; Phipps, R.; Zhou, X.; Sibonga, J.; Turner, R.

2006-01-01

The objective of the study was to assess the time course of changes in bone mineralization and architecture using sequential triple biopsies from women with postmenopausal osteoporosis (PMO) who received long-term treatment with risedronate. Transiliac biopsies were obtained from the same subjects (n = 7) at baseline and after 3 and 5 years of treatment with 5 mg daily risedronate. Mineralization was measured using 3-dimensional (3D) micro-computed tomography (CT) with synchrotron radiation and was compared to levels in healthy premenopausal women (n = 12). Compared to the untreated PMO women at baseline, the premenopausal women had higher average mineralization (Avg-MIN) and peak mineralization (Peak-MIN) by 5.8% (P = 0.003) and 8.0% (P = 0.003), respectively, and lower ratio of low to high-mineralized bone volume (BMR-V) and surface area (BMR-S) by 73.3% (P = 0.005) and 61.7% (P 0.003), respectively. Relative to baseline, 3 years of risedronate treatment significantly increased Avg-MIN (4.9 ± 1.1%, P = 0.016) and Peak-MIN (6.2 ± 1.5%, P = 0.016), and significantly decreased BMR-V (-68.4 ± 7.3%, P = 0.016) and BMR-S (-50.2 ± 5.7%, P = 0.016) in the PMO women. The changes were maintained at the same level when treatment was continued up to 5 years. These results are consistent with the significant reduction of turnover observed after 3 years of treatment and which was similarly maintained through 5 years of treatment. Risedronate restored the degree of mineralization and the ratios of low- to high-mineralized bone to premenopausal levels after 3 years of treatment, suggesting that treatment reduced bone turnover in PMO women to healthy premenopausal levels. Conventional micro-CT analysis further demonstrated that bone volume (BV/TV) and trabecular architecture did not change from baseline up to 5 years of treatment, suggesting that risedronate provided long-term preservation of trabecular architecture in the PMO women. Overall, risedronate provided sustained

Neurally and mathematically motivated architecture for language and thought.

Science.gov (United States)

Perlovsky, L I; Ilin, R

2010-01-01

Neural structures of interaction between thinking and language are unknown. This paper suggests a possible architecture motivated by neural and mathematical considerations. A mathematical requirement of computability imposes significant constraints on possible architectures consistent with brain neural structure and with a wealth of psychological knowledge. How language interacts with cognition. Do we think with words, or is thinking independent from language with words being just labels for decisions? Why is language learned by the age of 5 or 7, but acquisition of knowledge represented by learning to use this language knowledge takes a lifetime? This paper discusses hierarchical aspects of language and thought and argues that high level abstract thinking is impossible without language. We discuss a mathematical technique that can model the joint language-thought architecture, while overcoming previously encountered difficulties of computability. This architecture explains a contradiction between human ability for rational thoughtful decisions and irrationality of human thinking revealed by Tversky and Kahneman; a crucial role in this contradiction might be played by language. The proposed model resolves long-standing issues: how the brain learns correct words-object associations; why animals do not talk and think like people. We propose the role played by language emotionality in its interaction with thought. We relate the mathematical model to Humboldt's "firmness" of languages; and discuss possible influence of language grammar on its emotionality. Psychological and brain imaging experiments related to the proposed model are discussed. Future theoretical and experimental research is outlined.

Future Network Architectures

DEFF Research Database (Denmark)

Wessing, Henrik; Bozorgebrahimi, Kurosh; Belter, Bartosz

2015-01-01

This study identifies key requirements for NRENs towards future network architectures that become apparent as users become more mobile and have increased expectations in terms of availability of data. In addition, cost saving requirements call for federated use of, in particular, the optical...

"Notice of Violation of IEEE Publication Principles" Multiobjective Reinforcement Learning: A Comprehensive Overview.

Science.gov (United States)

Liu, Chunming; Xu, Xin; Hu, Dewen

2013-04-29

Reinforcement learning is a powerful mechanism for enabling agents to learn in an unknown environment, and most reinforcement learning algorithms aim to maximize some numerical value, which represents only one long-term objective. However, multiple long-term objectives are exhibited in many real-world decision and control problems; therefore, recently, there has been growing interest in solving multiobjective reinforcement learning (MORL) problems with multiple conflicting objectives. The aim of this paper is to present a comprehensive overview of MORL. In this paper, the basic architecture, research topics, and naive solutions of MORL are introduced at first. Then, several representative MORL approaches and some important directions of recent research are reviewed. The relationships between MORL and other related research are also discussed, which include multiobjective optimization, hierarchical reinforcement learning, and multi-agent reinforcement learning. Finally, research challenges and open problems of MORL techniques are highlighted.

Component Architectures and Web-Based Learning Environments

Science.gov (United States)

Ferdig, Richard E.; Mishra, Punya; Zhao, Yong

2004-01-01

The Web has caught the attention of many educators as an efficient communication medium and content delivery system. But we feel there is another aspect of the Web that has not been given the attention it deserves. We call this aspect of the Web its "component architecture." Briefly it means that on the Web one can develop very complex…

Collaborative testing for key-term definitions under representative conditions: Efficiency costs and no learning benefits.

Science.gov (United States)

Wissman, Kathryn T; Rawson, Katherine A

2018-01-01

Students are expected to learn key-term definitions across many different grade levels and academic disciplines. Thus, investigating ways to promote understanding of key-term definitions is of critical importance for applied purposes. A recent survey showed that learners report engaging in collaborative practice testing when learning key-term definitions, with outcomes also shedding light on the way in which learners report engaging in collaborative testing in real-world contexts (Wissman & Rawson, 2016, Memory, 24, 223-239). However, no research has directly explored the effectiveness of engaging in collaborative testing under representative conditions. Accordingly, the current research evaluates the costs (with respect to efficiency) and the benefits (with respect to learning) of collaborative testing for key-term definitions under representative conditions. In three experiments (ns = 94, 74, 95), learners individually studied key-term definitions and then completed retrieval practice, which occurred either individually or collaboratively (in dyads). Two days later, all learners completed a final individual test. Results from Experiments 1-2 showed a cost (with respect to efficiency) and no benefit (with respect to learning) of engaging in collaborative testing for key-term definitions. Experiment 3 evaluated a theoretical explanation for why collaborative benefits do not emerge under representative conditions. Collectively, outcomes indicate that collaborative testing versus individual testing is less effective and less efficient when learning key-term definitions under representative conditions.

Getting Their Hands Dirty: Qualitative Study on Hands-on Learning for Architectural Students in Design-build Course

Directory of Open Access Journals (Sweden)

Zunaibi B. Abdullah

2011-06-01

Full Text Available This qualitative study provides an in-depth perspective of hands-on learning through the observation and analysis of architectural students' views in a design-build program at the University of Nebraska-Lincoln during the fall semester of 2008. Qualitative data was gathered from 14 participants involved in the construction of a low energy double-storey house in the city of Lincoln, Nebraska. The study inventoried the requisite characteristics of a design-build course. Participants' views and activities were studied to ascribe the qualitative benefits of hands-on learning. In addition, students' motivation towards hands-on activities were evaluated in reference to student confidence and independence levels towards their future career as architects, designers or other design-build professionals. The findings showed the design-build course could offer a specific knowledge that link between theoretical subjects and the practical expect of building contractions.

Differentiating Visual from Response Sequencing during Long-term Skill Learning.

Science.gov (United States)

Lynch, Brighid; Beukema, Patrick; Verstynen, Timothy

2017-01-01

The dual-system model of sequence learning posits that during early learning there is an advantage for encoding sequences in sensory frames; however, it remains unclear whether this advantage extends to long-term consolidation. Using the serial RT task, we set out to distinguish the dynamics of learning sequential orders of visual cues from learning sequential responses. On each day, most participants learned a new mapping between a set of symbolic cues and responses made with one of four fingers, after which they were exposed to trial blocks of either randomly ordered cues or deterministic ordered cues (12-item sequence). Participants were randomly assigned to one of four groups (n = 15 per group): Visual sequences (same sequence of visual cues across training days), Response sequences (same order of key presses across training days), Combined (same serial order of cues and responses on all training days), and a Control group (a novel sequence each training day). Across 5 days of training, sequence-specific measures of response speed and accuracy improved faster in the Visual group than any of the other three groups, despite no group differences in explicit awareness of the sequence. The two groups that were exposed to the same visual sequence across days showed a marginal improvement in response binding that was not found in the other groups. These results indicate that there is an advantage, in terms of rate of consolidation across multiple days of training, for learning sequences of actions in a sensory representational space, rather than as motoric representations.

Evaluation of CNN architectures for gait recognition based on optical flow maps

OpenAIRE

Castro, F. M.; Marín-Jiménez, M.J.; Guil, N.; López-Tapia, S.; Pérez de la Blanca, N.

2017-01-01

This work targets people identification in video based on the way they walk (\\ie gait) by using deep learning architectures. We explore the use of convolutional neural networks (CNN) for learning high-level descriptors from low-level motion features (\\ie optical flow components). The low number of training samples for each subject and the use of a test set containing subjects different from the training ones makes the search of a good CNN architecture a challenging task. Universidad de Mál...

Intact Acquisition and Short-Term Retention of Non-Motor Procedural Learning in Parkinson's Disease.

Directory of Open Access Journals (Sweden)

Muriel T N Panouillères

Full Text Available Procedural learning is a form of memory where people implicitly acquire a skill through repeated practice. People with Parkinson's disease (PD have been found to acquire motor adaptation, a form of motor procedural learning, similarly to healthy older adults but they have deficits in long-term retention. A similar pattern of normal learning on initial exposure with a deficit in retention seen on subsequent days has also been seen in mirror-reading, a form of non-motor procedural learning. It is a well-studied fact that disrupting sleep will impair the consolidation of procedural memories. Given the prevalence of sleep disturbances in PD, the lack of retention on following days seen in these studies could simply be a side effect of this well-known symptom of PD. Because of this, we wondered whether people with PD would present with deficits in the short-term retention of a non-motor procedural learning task, when the test of retention was done the same day as the initial exposure. The aim of the present study was then to investigate acquisition and retention in the immediate short term of cognitive procedural learning using the mirror-reading task in people with PD. This task involved two conditions: one where triads of mirror-inverted words were always new that allowed assessing the learning of mirror-reading skill and another one where some of the triads were presented repeatedly during the experiment that allowed assessing the word-specific learning. People with PD both ON and OFF their normal medication were compared to healthy older adults and young adults. Participants were re-tested 50 minutes break after initial exposure to probe for short-term retention. The results of this study show that all groups of participants acquired and retained the two skills (mirror-reading and word-specific similarly. These results suggest that neither healthy ageing nor the degeneration within the basal ganglia that occurs in PD does affect the mechanisms

Problem-Based Project-Oriented Learning: Educating and evaluating for new disciplines emerging in the interplay between the professions of civil engineering and architecture

DEFF Research Database (Denmark)

Mullins, Michael

2006-01-01

styles, which raises the question of how to assess the individual student’s learning where widely different strategies with widely differing results are employed. While offering many interesting possibilities, the integration of these historically separated disciplines embraces paradoxes...... and contradictions reflected in the differences inherent in two pedagogical models used by the university, problem-based learning and project-oriented learning. However, in order for this to be adequately demonstrated, suitable forms of evaluation are necessary. A case is made for the review of assessment criteria......, and uses PBL and project-oriented models for its educational form. There is a distinct difference between engineering and architecture in their evolutionary backgrounds and their varying degree of emphasis on natural science. Both present different forms of problem solving that appeal to different learning...

Interoperability in pedagogical e-learning services

OpenAIRE

Queirós, Ricardo

2009-01-01

The ultimate goal of this research plan is to improve the learning experience of students through the combination of pedagogical eLearning services. Service oriented architectures are already being used in eLearning but in this work the focus is on services of pedagogical value, rather then on generic services adapted from other business systems. This approach to the architecture of eLearning platforms raises challenges addressed by this work, namely: conceptual modeling of the pedagogica...

Teaching Learning Strategies to Increase Success of First-Term College Students

Science.gov (United States)

Tuckman, Bruce W.; Kennedy, Gary J.

2011-01-01

In this study, the authors examined the effect of taking a learning strategies course on grade point average, retention, and graduation rate of 351 first-year students over their first 4 terms in comparison with 351 matched non-course takers. The course taught 4 learning strategies and 8 substrategies to help students overcome procrastination,…

From green architecture to architectural green

DEFF Research Database (Denmark)

Earon, Ofri

2011-01-01

that describes the architectural exclusivity of this particular architecture genre. The adjective green expresses architectural qualities differentiating green architecture from none-green architecture. Currently, adding trees and vegetation to the building’s facade is the main architectural characteristics...... they have overshadowed the architectural potential of green architecture. The paper questions how a green space should perform, look like and function. Two examples are chosen to demonstrate thorough integrations between green and space. The examples are public buildings categorized as pavilions. One......The paper investigates the topic of green architecture from an architectural point of view and not an energy point of view. The purpose of the paper is to establish a debate about the architectural language and spatial characteristics of green architecture. In this light, green becomes an adjective...

SUSTAINABLE ARCHITECTURAL DESIGN: REVIVING TRADITIONAL DESIGN AND ADAPTING MODERN SOLUTIONS

Directory of Open Access Journals (Sweden)

Ibrahim Mostafa Eldemery

2010-03-01

Full Text Available Architecture is the art and science of designing which involves the manipulation of mass, space, volume, texture, light, shadow, materials, program and other elements in order to achieve an end which is aesthetic, functional and sustainable. Sustainability is a growing trend within the field of architecture, it is currently the most pressing, complex and challenging agenda facing architects. The industrialization and modernization of the world has led to increased initiatives regarding sustainability debate, where recently the word ‘sustainable’ entered into the consciousness of architects and became an essential concern in the discourse of architecture. What is more, we are nowadays witnessing the defense of former ways of life that affect not only the architecture, but also the habitat, work, and, in short, what can be called sustainability. Although sustainability at the human settlement scale has received great attention so far in most of the developing countries, it still remains the most glaring challenge in terms of its demand on resources and expertise. The aim today is to bring modern technologies and knowledge representing design solutions as guidelines like double skin façade, adapting traditional concepts, in tune with such practices to develop solutions that provide us with sustainable buildings that interact and are in harmony with natural climatic conditions. The paper will make an attempt at highlighting sustainability challenges we currently face including its implications for the built environment, in order to propose a sustainability evaluation framework, drawing out transferable lessons learned for future development.

Architecture on Architecture

DEFF Research Database (Denmark)

Olesen, Karen

2016-01-01

that is not scientific or academic but is more like a latent body of data that we find embedded in existing works of architecture. This information, it is argued, is not limited by the historical context of the work. It can be thought of as a virtual capacity – a reservoir of spatial configurations that can...... correlation between the study of existing architectures and the training of competences to design for present-day realities.......This paper will discuss the challenges faced by architectural education today. It takes as its starting point the double commitment of any school of architecture: on the one hand the task of preserving the particular knowledge that belongs to the discipline of architecture, and on the other hand...

Viability of Intranets for Sustainable Architectural Education in ...

African Journals Online (AJOL)

... Education in Nigeria: A Case Study of the Federal University of Technology, Akure. ... reliability and currency of information, cost effectiveness, higher efficiency ... Keywords: Architectural Education, E-library, E-learning, E-studio, Intranet ...

Information architecture. Volume 1, The foundations

Energy Technology Data Exchange (ETDEWEB)

NONE

1995-03-01

The Information Management Planning and Architecture Coordinating Team was formed to establish an information architecture framework to meet DOE`s current and future information needs. This department- wide activity was initiated in accordance with the DOE Information Management Strategic Plan; it also supports the Departmental Strategic Plan. It recognizes recent changes in emphasis as reflected in OMB Circular A-130 and the Information Resources Management Planning Process Improvement Team recommendations. Sections of this document provides the foundation for establishing DOE`s Information Architecture: Background, Business Case (reduced duplication of effort, increased integration of activities, improved operational capabilities), Baseline (technology baseline currently in place within DOE), Vision (guiding principles for future DOE Information Architecture), Standards Process, Policy and Process Integration (describes relations between information architecture and business processes), and Next Steps. Following each section is a scenario. A glossary of terms is provided.

Active learning units interrelated using TIC’s tools in architectural construction

Directory of Open Access Journals (Sweden)

Núria Martí Audí

2013-08-01

Full Text Available 0 0 1 141 779 USAL 6 1 919 14.0 Normal 0 21 false false false ES JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabla normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:Calibri; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-ansi-language:ES; mso-fareast-language:EN-US;} The presence of new technologies in the university world is a matter of fact. Nevertheless, it has not always blended correctly as in many cases TIC incorporation has not taken alumni opinion understood as final users. A correct implementation might evaluate some variables as satisfaction, need, interest and finally that versatility to adapt it to proficient professional training on a regular basis. This paper analyses a new approach to learning in the field of Architectural Construction based on a series of strategically designed and interactive units. The centre of these is the collaborative project; this is based on complex problem-solving situations akin to the professional world; where theory and practice are combined in a discovery-learning process. The tools of Information and Communication Technology are applied, simultaneously facilitating the student’s autonomy in acquiring skills and knowledge.

Learning in the machine: The symmetries of the deep learning channel.

Science.gov (United States)

Baldi, Pierre; Sadowski, Peter; Lu, Zhiqin

2017-11-01

In a physical neural system, learning rules must be local both in space and time. In order for learning to occur, non-local information must be communicated to the deep synapses through a communication channel, the deep learning channel. We identify several possible architectures for this learning channel (Bidirectional, Conjoined, Twin, Distinct) and six symmetry challenges: (1) symmetry of architectures; (2) symmetry of weights; (3) symmetry of neurons; (4) symmetry of derivatives; (5) symmetry of processing; and (6) symmetry of learning rules. Random backpropagation (RBP) addresses the second and third symmetry, and some of its variations, such as skipped RBP (SRBP) address the first and the fourth symmetry. Here we address the last two desirable symmetries showing through simulations that they can be achieved and that the learning channel is particularly robust to symmetry variations. Specifically, random backpropagation and its variations can be performed with the same non-linear neurons used in the main input-output forward channel, and the connections in the learning channel can be adapted using the same algorithm used in the forward channel, removing the need for any specialized hardware in the learning channel. Finally, we provide mathematical results in simple cases showing that the learning equations in the forward and backward channels converge to fixed points, for almost any initial conditions. In symmetric architectures, if the weights in both channels are small at initialization, adaptation in both channels leads to weights that are essentially symmetric during and after learning. Biological connections are discussed. Copyright © 2017 Elsevier Ltd. All rights reserved.

Robust short-term memory without synaptic learning.

Directory of Open Access Journals (Sweden)

Samuel Johnson

Full Text Available Short-term memory in the brain cannot in general be explained the way long-term memory can--as a gradual modification of synaptic weights--since it takes place too quickly. Theories based on some form of cellular bistability, however, do not seem able to account for the fact that noisy neurons can collectively store information in a robust manner. We show how a sufficiently clustered network of simple model neurons can be instantly induced into metastable states capable of retaining information for a short time (a few seconds. The mechanism is robust to different network topologies and kinds of neural model. This could constitute a viable means available to the brain for sensory and/or short-term memory with no need of synaptic learning. Relevant phenomena described by neurobiology and psychology, such as local synchronization of synaptic inputs and power-law statistics of forgetting avalanches, emerge naturally from this mechanism, and we suggest possible experiments to test its viability in more biological settings.

Robust short-term memory without synaptic learning.

Science.gov (United States)

Johnson, Samuel; Marro, J; Torres, Joaquín J

2013-01-01

Short-term memory in the brain cannot in general be explained the way long-term memory can--as a gradual modification of synaptic weights--since it takes place too quickly. Theories based on some form of cellular bistability, however, do not seem able to account for the fact that noisy neurons can collectively store information in a robust manner. We show how a sufficiently clustered network of simple model neurons can be instantly induced into metastable states capable of retaining information for a short time (a few seconds). The mechanism is robust to different network topologies and kinds of neural model. This could constitute a viable means available to the brain for sensory and/or short-term memory with no need of synaptic learning. Relevant phenomena described by neurobiology and psychology, such as local synchronization of synaptic inputs and power-law statistics of forgetting avalanches, emerge naturally from this mechanism, and we suggest possible experiments to test its viability in more biological settings.

Robust Short-Term Memory without Synaptic Learning

Science.gov (United States)

Johnson, Samuel; Marro, J.; Torres, Joaquín J.

2013-01-01

Short-term memory in the brain cannot in general be explained the way long-term memory can – as a gradual modification of synaptic weights – since it takes place too quickly. Theories based on some form of cellular bistability, however, do not seem able to account for the fact that noisy neurons can collectively store information in a robust manner. We show how a sufficiently clustered network of simple model neurons can be instantly induced into metastable states capable of retaining information for a short time (a few seconds). The mechanism is robust to different network topologies and kinds of neural model. This could constitute a viable means available to the brain for sensory and/or short-term memory with no need of synaptic learning. Relevant phenomena described by neurobiology and psychology, such as local synchronization of synaptic inputs and power-law statistics of forgetting avalanches, emerge naturally from this mechanism, and we suggest possible experiments to test its viability in more biological settings. PMID:23349664

Mosaic model for sensorimotor learning and control.

Science.gov (United States)

Haruno, M; Wolpert, D M; Kawato, M

2001-10-01

Humans demonstrate a remarkable ability to generate accurate and appropriate motor behavior under many different and often uncertain environmental conditions. We previously proposed a new modular architecture, the modular selection and identification for control (MOSAIC) model, for motor learning and control based on multiple pairs of forward (predictor) and inverse (controller) models. The architecture simultaneously learns the multiple inverse models necessary for control as well as how to select the set of inverse models appropriate for a given environment. It combines both feedforward and feedback sensorimotor information so that the controllers can be selected both prior to movement and subsequently during movement. This article extends and evaluates the MOSAIC architecture in the following respects. The learning in the architecture was implemented by both the original gradient-descent method and the expectation-maximization (EM) algorithm. Unlike gradient descent, the newly derived EM algorithm is robust to the initial starting conditions and learning parameters. Second, simulations of an object manipulation task prove that the architecture can learn to manipulate multiple objects and switch between them appropriately. Moreover, after learning, the model shows generalization to novel objects whose dynamics lie within the polyhedra of already learned dynamics. Finally, when each of the dynamics is associated with a particular object shape, the model is able to select the appropriate controller before movement execution. When presented with a novel shape-dynamic pairing, inappropriate activation of modules is observed followed by on-line correction.

From "Learning Disability to Intellectual Disability"--Perceptions of the Increasing Use of the Term "Intellectual Disability" in Learning Disability Policy, Research and Practice

Science.gov (United States)

Cluley, Victoria

2018-01-01

Background: The term "intellectual disability" is increasingly used to refer to people with learning disabilities in British learning disability policy, practice and research. This change is undoubtedly a reflection of the changing international context. The inclusion of the term "intellectual disability" has been particularly…

Short-term perceptual learning in visual conjunction search.

Science.gov (United States)

Su, Yuling; Lai, Yunpeng; Huang, Wanyi; Tan, Wei; Qu, Zhe; Ding, Yulong

2014-08-01

Although some studies showed that training can improve the ability of cross-dimension conjunction search, less is known about the underlying mechanism. Specifically, it remains unclear whether training of visual conjunction search can successfully bind different features of separated dimensions into a new function unit at early stages of visual processing. In the present study, we utilized stimulus specificity and generalization to provide a new approach to investigate the mechanisms underlying perceptual learning (PL) in visual conjunction search. Five experiments consistently showed that after 40 to 50 min of training of color-shape/orientation conjunction search, the ability to search for a certain conjunction target improved significantly and the learning effects did not transfer to a new target that differed from the trained target in both color and shape/orientation features. However, the learning effects were not strictly specific. In color-shape conjunction search, although the learning effect could not transfer to a same-shape different-color target, it almost completely transferred to a same-color different-shape target. In color-orientation conjunction search, the learning effect partly transferred to a new target that shared same color or same orientation with the trained target. Moreover, the sum of transfer effects for the same color target and the same orientation target in color-orientation conjunction search was algebraically equivalent to the learning effect for trained target, showing an additive transfer effect. The different transfer patterns in color-shape and color-orientation conjunction search learning might reflect the different complexity and discriminability between feature dimensions. These results suggested a feature-based attention enhancement mechanism rather than a unitization mechanism underlying the short-term PL of color-shape/orientation conjunction search.

Convolutional neural network architectures for predicting DNA–protein binding

Science.gov (United States)

Zeng, Haoyang; Edwards, Matthew D.; Liu, Ge; Gifford, David K.

2016-01-01

Motivation: Convolutional neural networks (CNN) have outperformed conventional methods in modeling the sequence specificity of DNA–protein binding. Yet inappropriate CNN architectures can yield poorer performance than simpler models. Thus an in-depth understanding of how to match CNN architecture to a given task is needed to fully harness the power of CNNs for computational biology applications. Results: We present a systematic exploration of CNN architectures for predicting DNA sequence binding using a large compendium of transcription factor datasets. We identify the best-performing architectures by varying CNN width, depth and pooling designs. We find that adding convolutional kernels to a network is important for motif-based tasks. We show the benefits of CNNs in learning rich higher-order sequence features, such as secondary motifs and local sequence context, by comparing network performance on multiple modeling tasks ranging in difficulty. We also demonstrate how careful construction of sequence benchmark datasets, using approaches that control potentially confounding effects like positional or motif strength bias, is critical in making fair comparisons between competing methods. We explore how to establish the sufficiency of training data for these learning tasks, and we have created a flexible cloud-based framework that permits the rapid exploration of alternative neural network architectures for problems in computational biology. Availability and Implementation: All the models analyzed are available at http://cnn.csail.mit.edu. Contact: gifford@mit.edu Supplementary information: Supplementary data are available at Bioinformatics online. PMID:27307608

Application architecture for .NET designing applications and services

CERN Document Server

Microsoft. Redmond

2003-01-01

Get expert architectural and design-level guidance for building distributed solutions with the Microsoft® .NET Framework-learning how to synthesize your knowledge of application development, servers, and infrastructure and business requirements. This guide assumes you are familiar with .NET component development and the basic principles of a layered distributed application design. It examines architectural issues and solution design for a range of project stakeholders-whether you build and design applications and services, recommend appropriate technologies and products for applications and s

Vocabulary Learning in Primary School Children: Working Memory and Long-Term Memory Components

Science.gov (United States)

Morra, Sergio; Camba, Roberta

2009-01-01

The goal of this study was to investigate which working memory and long-term memory components predict vocabulary learning. We used a nonword learning paradigm in which 8- to 10-year-olds learned picture-nonword pairs. The nonwords varied in length (two vs. four syllables) and phonology (native sounding vs. including one Russian phoneme). Short,…

Evaluating the Physical Environment of Design Studios: A Case study in Malaysian Private Architecture Schools

Directory of Open Access Journals (Sweden)

Shanthi Muniandy

2015-09-01

Full Text Available Understanding the notion of learner’s experiences in the design of physical environment of an architecture design studio is a necessity as it contains certain values of influence. It is due to the unique learning experiences which are accrued particularly in design studio that is continued during professional practice as well. Most architectural campuses in Malaysian Private Higher Education Institutions (MPHEI are devoid of certain important elements and this issue needs to be looked into seriously. Apparently, most architectural design studios today have different physical settings, and have developed their own learning culture based on the typical space that they have. Reviewing the physical environment and how it contributes to the social environ-ment in MPHEI’s architectural context requires certain understanding on the learner’s psycho-logical needs, expectations and in the same time to meet the educational objective which is never an easy task. Hence, this paper reviewed the studies of the possible physical environment approaches in connecting the learner’s connections in architecture studio learning environ-ment. A questionnaire survey with Likert-scale components, and semi-structured interview on learners of five distinguished Private Architectural schools in Malaysia unveiled several signifi-cant findings that can lead entrepreneurs to upgrade the physical environment of these MPHEIs in order to cope with the demands of the stakeholders.

Lunar Navigation Architecture Design Considerations

Science.gov (United States)

D'Souza, Christopher; Getchius, Joel; Holt, Greg; Moreau, Michael

2009-01-01

The NASA Constellation Program is aiming to establish a long-term presence on the lunar surface. The Constellation elements (Orion, Altair, Earth Departure Stage, and Ares launch vehicles) will require a lunar navigation architecture for navigation state updates during lunar-class missions. Orion in particular has baselined earth-based ground direct tracking as the primary source for much of its absolute navigation needs. However, due to the uncertainty in the lunar navigation architecture, the Orion program has had to make certain assumptions on the capabilities of such architectures in order to adequately scale the vehicle design trade space. The following paper outlines lunar navigation requirements, the Orion program assumptions, and the impacts of these assumptions to the lunar navigation architecture design. The selection of potential sites was based upon geometric baselines, logistical feasibility, redundancy, and abort support capability. Simulated navigation covariances mapped to entry interface flightpath- angle uncertainties were used to evaluate knowledge errors. A minimum ground station architecture was identified consisting of Goldstone, Madrid, Canberra, Santiago, Hartebeeshoek, Dongora, Hawaii, Guam, and Ascension Island (or the geometric equivalent).

Deep Learning for ECG Classification

Science.gov (United States)

Pyakillya, B.; Kazachenko, N.; Mikhailovsky, N.

2017-10-01

The importance of ECG classification is very high now due to many current medical applications where this problem can be stated. Currently, there are many machine learning (ML) solutions which can be used for analyzing and classifying ECG data. However, the main disadvantages of these ML results is use of heuristic hand-crafted or engineered features with shallow feature learning architectures. The problem relies in the possibility not to find most appropriate features which will give high classification accuracy in this ECG problem. One of the proposing solution is to use deep learning architectures where first layers of convolutional neurons behave as feature extractors and in the end some fully-connected (FCN) layers are used for making final decision about ECG classes. In this work the deep learning architecture with 1D convolutional layers and FCN layers for ECG classification is presented and some classification results are showed.

Functional architecture of reward learning in mushroom body extrinsic neurons of larval Drosophila.

Science.gov (United States)

Saumweber, Timo; Rohwedder, Astrid; Schleyer, Michael; Eichler, Katharina; Chen, Yi-Chun; Aso, Yoshinori; Cardona, Albert; Eschbach, Claire; Kobler, Oliver; Voigt, Anne; Durairaja, Archana; Mancini, Nino; Zlatic, Marta; Truman, James W; Thum, Andreas S; Gerber, Bertram

2018-03-16

The brain adaptively integrates present sensory input, past experience, and options for future action. The insect mushroom body exemplifies how a central brain structure brings about such integration. Here we use a combination of systematic single-cell labeling, connectomics, transgenic silencing, and activation experiments to study the mushroom body at single-cell resolution, focusing on the behavioral architecture of its input and output neurons (MBINs and MBONs), and of the mushroom body intrinsic APL neuron. Our results reveal the identity and morphology of almost all of these 44 neurons in stage 3 Drosophila larvae. Upon an initial screen, functional analyses focusing on the mushroom body medial lobe uncover sparse and specific functions of its dopaminergic MBINs, its MBONs, and of the GABAergic APL neuron across three behavioral tasks, namely odor preference, taste preference, and associative learning between odor and taste. Our results thus provide a cellular-resolution study case of how brains organize behavior.

Cognitive Architectures and Autonomy: A Comparative Review

Science.gov (United States)

Thórisson, Kristinn; Helgasson, Helgi

2012-05-01

One of the original goals of artificial intelligence (AI) research was to create machines with very general cognitive capabilities and a relatively high level of autonomy. It has taken the field longer than many had expected to achieve even a fraction of this goal; the community has focused on building specific, targeted cognitive processes in isolation, and as of yet no system exists that integrates a broad range of capabilities or presents a general solution to autonomous acquisition of a large set of skills. Among the reasons for this are the highly limited machine learning and adaptation techniques available, and the inherent complexity of integrating numerous cognitive and learning capabilities in a coherent architecture. In this paper we review selected systems and architectures built expressly to address integrated skills. We highlight principles and features of these systems that seem promising for creating generally intelligent systems with some level of autonomy, and discuss them in the context of the development of future cognitive architectures. Autonomy is a key property for any system to be considered generally intelligent, in our view; we use this concept as an organizing principle for comparing the reviewed systems. Features that remain largely unaddressed in present research, but seem nevertheless necessary for such efforts to succeed, are also discussed.

Preindustrial versus postindustrial Architecture and Building Techniques

DEFF Research Database (Denmark)

Vestergaard, Inge

2014-01-01

house built around 1700 and the other a frontrunner suburban family house built year 2010. The aim is to show how preindustrial architecture can inspire sustainable thinking in postindustrial architectural design, how we can learn from the experience and how the nowadays social, economic......The paper will identify the sustainable parameters related to the change in society, building technique and comfort demands illustrated through 2 Danish building types, which are very different in time, but similar in function. The one representing evolution and experience based countryside farm...... out how living conditions, landscape and topology, how climate and the possibility to use local materials for construction and how actual building technology influences the design, the economy, the comfort and the energy use. Analysis involves architectural, technical and comfort matters...

Energy Management Strategy for a Hybrid Electric Vehicle Based on Deep Reinforcement Learning

Directory of Open Access Journals (Sweden)

Yue Hu

2018-01-01

Full Text Available An energy management strategy (EMS is important for hybrid electric vehicles (HEVs since it plays a decisive role on the performance of the vehicle. However, the variation of future driving conditions deeply influences the effectiveness of the EMS. Most existing EMS methods simply follow predefined rules that are not adaptive to different driving conditions online. Therefore, it is useful that the EMS can learn from the environment or driving cycle. In this paper, a deep reinforcement learning (DRL-based EMS is designed such that it can learn to select actions directly from the states without any prediction or predefined rules. Furthermore, a DRL-based online learning architecture is presented. It is significant for applying the DRL algorithm in HEV energy management under different driving conditions. Simulation experiments have been conducted using MATLAB and Advanced Vehicle Simulator (ADVISOR co-simulation. Experimental results validate the effectiveness of the DRL-based EMS compared with the rule-based EMS in terms of fuel economy. The online learning architecture is also proved to be effective. The proposed method ensures the optimality, as well as real-time applicability, in HEVs.

Toolkits and Libraries for Deep Learning.

Science.gov (United States)

Erickson, Bradley J; Korfiatis, Panagiotis; Akkus, Zeynettin; Kline, Timothy; Philbrick, Kenneth

2017-08-01

Deep learning is an important new area of machine learning which encompasses a wide range of neural network architectures designed to complete various tasks. In the medical imaging domain, example tasks include organ segmentation, lesion detection, and tumor classification. The most popular network architecture for deep learning for images is the convolutional neural network (CNN). Whereas traditional machine learning requires determination and calculation of features from which the algorithm learns, deep learning approaches learn the important features as well as the proper weighting of those features to make predictions for new data. In this paper, we will describe some of the libraries and tools that are available to aid in the construction and efficient execution of deep learning as applied to medical images.

Virtualized cognitive network architecture for 5G cellular networks

KAUST Repository

Elsawy, Hesham

2015-07-17

Cellular networks have preserved an application agnostic and base station (BS) centric architecture1 for decades. Network functionalities (e.g. user association) are decided and performed regardless of the underlying application (e.g. automation, tactile Internet, online gaming, multimedia). Such an ossified architecture imposes several hurdles against achieving the ambitious metrics of next generation cellular systems. This article first highlights the features and drawbacks of such architectural ossification. Then the article proposes a virtualized and cognitive network architecture, wherein network functionalities are implemented via software instances in the cloud, and the underlying architecture can adapt to the application of interest as well as to changes in channels and traffic conditions. The adaptation is done in terms of the network topology by manipulating connectivities and steering traffic via different paths, so as to attain the applications\\' requirements and network design objectives. The article presents cognitive strategies to implement some of the classical network functionalities, along with their related implementation challenges. The article further presents a case study illustrating the performance improvement of the proposed architecture as compared to conventional cellular networks, both in terms of outage probability and handover rate.

Correlating learning and memory improvements to long-term potentiation in patients with brain injury

Institute of Scientific and Technical Information of China (English)

Xingfu Peng; Qian Yu

2008-01-01

BACKGROUND:Brain injury patients often exhibit learning and memory functional deficits.Long-term potentiation(LTP)is a representative index for studying learning and memory cellular models; the LTP index correlates to neural plasticity. OBJECTIVE:This study was designed to investigate correlations of learning and memory functions to LTP in brain injury patients,and to summarize the research advancements in mechanisms underlying brain functional improvements after rehabilitation intervention. RETRIEVAL STRATEGY:Using the terms "brain injuries,rehabilitation,learning and memory,long-term potentiation",manuscripts that were published from 2000-2007 were retrieved from the PubMed database.At the same time,manuscripts published from 2000-2007 were also retrieved from the Database of Chinese Scientific and Technical Periodicals with the same terms in the Chinese language.A total of 64 manuscripts were obtained and primarily screened.Inclusion criteria:studies on learning and memory,as well as LTP in brain injury patients,and studies focused on the effects of rehabilitation intervention on the two indices; studies that were recently published or in high-impact journals.Exclusion criteria:repetitive studies.LITERATURE EVALUATION:The included manuscripts primarily focused on correlations between learning and memory and LTP,the effects of brain injury on learning and memory,as well as LTP,and the effects of rehabilitation intervention on learning and memory after brain injury.The included 39 manuscripts were clinical,basic experimental,or review studies. DATA SYNTHESIS:Learning and memory closely correlates to LTP.The neurobiological basis of learning and memory is central nervous system plasticity,which involves neural networks,neural circuits,and synaptic connections,in particular,synaptic plasticity.LTP is considered to be an ideal model for studying synaptic plasticity,and it is also a classic model for studying neural plasticity of learning and memory.Brain injury

Art and Architectural Space

DEFF Research Database (Denmark)

Unterrainer, Walter

2014-01-01

and its content. The urban and spatial question goes far beyond museums and other buildings for art: how in democratic societies should public spaces be supported by art and how can public art support ´cityness´ and meaning versus spaces of consumerism. Famous but egocentric buildings with the main......art and architectural space museums and other exhibition spaces or how artists learn to love architects Over the last two decades, innumerable new museums, art galleries and other exhibition spaces have been built and opened all over the globe. The most extreme growth happened in China, where...... historically considered even the mother of all arts) - but more relevant: what are appropriate architectural spaces for presenting, exhibiting, contemplating, reflecting, meditating, discussing, enjoying, dissenting, debating creations of art. Simplified, this is a question about the relation between package...

Protocol for Short- and Longer-term Spatial Learning and Memory in Mice

Directory of Open Access Journals (Sweden)

Emily F. Willis

2017-10-01

Full Text Available Studies on the role of the hippocampus in higher cognitive functions such as spatial learning and memory in rodents are reliant upon robust and objective behavioral tests. This protocol describes one such test—the active place avoidance (APA task. This behavioral task involves the mouse continuously integrating visual cues to orientate itself within a rotating arena in order to actively avoid a shock zone, the location of which remains constant relative to the room. This protocol details the step-by-step procedures for a novel paradigm of the hippocampal-dependent APA task, measuring acquisition of spatial learning during a single 20-min trial (i.e., short-term memory, with spatial memory encoding and retrieval (i.e., long-term memory assessed by trials conducted over consecutive days. Using the APA task, cognitive flexibility can be assessed using the reversal learning paradigm, as this increases the cognitive load required for efficient performance in the task. In addition to a detailed experimental protocol, this paper also describes the range of its possible applications, the expected key results, as well as the analytical methods to assess the data, and the pitfalls/troubleshooting measures. The protocol described herein is highly robust and produces replicable results, thus presenting an important paradigm that enables the assessment of subtle short-term changes in spatial learning and memory, such as those observed for many experimental interventions.

Comparison effectiveness of cooperative learning type STAD with cooperative learning type TPS in terms of mathematical method of Junior High School students

Science.gov (United States)

Wahyuni, A.

2018-05-01

This research is aimed to find out whether the model of cooperative learning type Student Team Achievement Division (STAD) is more effective than cooperative learning type Think-Pair-Share in SMP Negeri 7 Yogyakarta. This research was a quasi-experimental research, using two experimental groups. The population of research was all students of 7thclass in SMP Negeri 7 Yogyakarta that consists of 5 Classes. From the population were taken 2 classes randomly which used as sample. The instrument to collect data was a description test. Measurement of instrument validity use content validity and construct validity, while measuring instrument reliability use Cronbach Alpha formula. To investigate the effectiveness of cooperative learning type STAD and cooperative learning type TPS on the aspect of student’s mathematical method, the datas were analyzed by one sample test. Comparing the effectiveness of cooperative learning type STAD and TPS in terms of mathematical communication skills by using t-test. Normality test was not conducted because the sample of research more than 30 students, while homogeneity tested by using Kolmogorov Smirnov test. The analysis was performed at 5% confidence level.The results show as follows : 1) The model of cooperative learning type STAD and TPS are effective in terms of mathematical method of junior high school students. 2). STAD type cooperative learning model is more effective than TPS type cooperative learning model in terms of mathematical methods of junior high school students.

Dynamic Neural Fields as a Step Towards Cognitive Neuromorphic Architectures

Directory of Open Access Journals (Sweden)

Yulia eSandamirskaya

2014-01-01

Full Text Available Dynamic Field Theory (DFT is an established framework for modelling embodied cognition. In DFT, elementary cognitive functions such as memory formation, formation of grounded representations, attentional processes, decision making, adaptation, and learning emerge from neuronal dynamics. The basic computational element of this framework is a Dynamic Neural Field (DNF. Under constraints on the time-scale of the dynamics, the DNF is computationally equivalent to a soft winner-take-all (WTA network, which is considered one of the basic computational units in neuronal processing. Recently, it has been shown how a WTA network may be implemented in neuromorphic hardware, such as analogue Very Large Scale Integration (VLSI device. This paper leverages the relationship between DFT and soft WTA networks to systematically revise and integrate established DFT mechanisms that have previously been spread among different architectures. In addition, I also identify some novel computational and architectural mechanisms of DFT which may be implemented in neuromorphic VLSI devices using WTA networks as an intermediate computational layer. These specific mechanisms include the stabilization of working memory, the coupling of sensory systems to motor dynamics, intentionality, and autonomous learning. I further demonstrate how all these elements may be integrated into a unified architecture to generate behavior and autonomous learning.

Using EDUCache Simulator for the Computer Architecture and Organization Course

Directory of Open Access Journals (Sweden)

Sasko Ristov

2013-07-01

Full Text Available The computer architecture and organization course is essential in all computer science and engineering programs, and the most selected and liked elective course for related engineering disciplines. However, the attractiveness brings a new challenge, it requires a lot of effort by the instructor, to explain rather complicated concepts to beginners or to those who study related disciplines. The usage of visual simulators can improve both the teaching and learning processes. The overall goal is twofold: 1~to enable a visual environment to explain the basic concepts and 2~to increase the student's willingness and ability to learn the material.A lot of visual simulators have been used for the computer architecture and organization course. However, due to the lack of visual simulators for simulation of the cache memory concepts, we have developed a new visual simulator EDUCache simulator. In this paper we present that it can be effectively and efficiently used as a supporting tool in the learning process of modern multi-layer, multi-cache and multi-core multi-processors.EDUCache's features enable an environment for performance evaluation and engineering of software systems, i.e. the students will also understand the importance of computer architecture building parts and hopefully, will increase their curiosity for hardware courses in general.

An Architecture for Online Laboratory E-Learning System

Science.gov (United States)

Duan, Bing; Hosseini, Habib Mir M.; Ling, Keck Voon; Gay, Robert Kheng Leng

2006-01-01

Internet-based learning systems, or e-learning, are widely available in institutes, universities, and industrial companies, hosting regular or continuous education programs. The dream of teaching and learning from anywhere and at anytime becomes a reality due to the construction of e-learning infrastructure. Traditional teaching materials and…

Electromagnetic Physics Models for Parallel Computing Architectures

Science.gov (United States)

Amadio, G.; Ananya, A.; Apostolakis, J.; Aurora, A.; Bandieramonte, M.; Bhattacharyya, A.; Bianchini, C.; Brun, R.; Canal, P.; Carminati, F.; Duhem, L.; Elvira, D.; Gheata, A.; Gheata, M.; Goulas, I.; Iope, R.; Jun, S. Y.; Lima, G.; Mohanty, A.; Nikitina, T.; Novak, M.; Pokorski, W.; Ribon, A.; Seghal, R.; Shadura, O.; Vallecorsa, S.; Wenzel, S.; Zhang, Y.

2016-10-01

The recent emergence of hardware architectures characterized by many-core or accelerated processors has opened new opportunities for concurrent programming models taking advantage of both SIMD and SIMT architectures. GeantV, a next generation detector simulation, has been designed to exploit both the vector capability of mainstream CPUs and multi-threading capabilities of coprocessors including NVidia GPUs and Intel Xeon Phi. The characteristics of these architectures are very different in terms of the vectorization depth and type of parallelization needed to achieve optimal performance. In this paper we describe implementation of electromagnetic physics models developed for parallel computing architectures as a part of the GeantV project. Results of preliminary performance evaluation and physics validation are presented as well.

The effects of short-term and long-term learning on the responses of lateral intraparietal neurons to visually presented objects.

Science.gov (United States)

Sigurdardottir, Heida M; Sheinberg, David L

2015-07-01

The lateral intraparietal area (LIP) is thought to play an important role in the guidance of where to look and pay attention. LIP can also respond selectively to differently shaped objects. We sought to understand to what extent short-term and long-term experience with visual orienting determines the responses of LIP to objects of different shapes. We taught monkeys to arbitrarily associate centrally presented objects of various shapes with orienting either toward or away from a preferred spatial location of a neuron. The training could last for less than a single day or for several months. We found that neural responses to objects are affected by such experience, but that the length of the learning period determines how this neural plasticity manifests. Short-term learning affects neural responses to objects, but these effects are only seen relatively late after visual onset; at this time, the responses to newly learned objects resemble those of familiar objects that share their meaning or arbitrary association. Long-term learning affects the earliest bottom-up responses to visual objects. These responses tend to be greater for objects that have been associated with looking toward, rather than away from, LIP neurons' preferred spatial locations. Responses to objects can nonetheless be distinct, although they have been similarly acted on in the past and will lead to the same orienting behavior in the future. Our results therefore indicate that a complete experience-driven override of LIP object responses may be difficult or impossible. We relate these results to behavioral work on visual attention.

MATHEMATICS COURSES AND NEW EMERGING DESIGN TOOL AN OVERVIEW OF ARCHITECTURAL EDUCATION IN INDONESIA

Directory of Open Access Journals (Sweden)

Aswin Indraprastha

2008-01-01

Full Text Available Since the beginning, mathematics courses are inherent within architecture education. In Indonesia, the legacy from Dutch education system has influenced most of the architectural schools and this courses stand as one of basic engineering courses for architecture education system. This situation has been remaining well adopted until recently, some of architectural schools are tailoring mathematics to shape with contemporary challenges particularly regards to the digital tools. This paper aims to present brief information about mathematics courses in architectural schools in Indonesia, the importance of mathematics in learning digital design tools and propose thoughts to upgrade mathematics content in architectural education towards new emerging design tools.

'Pays' -'Land'-'Yuan Lin'. The power of landscape (architecture) terms

NARCIS (Netherlands)

Bruns, D.; Brink, van den A.

2012-01-01

In order to continue building a common body of knowledge, landscape architecture researchers and practitioners must refer to the same fundamental concepts – particularly in those instances where different words are used to describe them. This paper puts the focus on ‘landscape’, probably the most

Dualism and Sensory Awareness in Architecture and Design

DEFF Research Database (Denmark)

Fisker, Anna Marie; Danielsen, Mads Harder

2012-01-01

By using the term less we focus on architectural heritage; can a heritage from a modernist architect show that less does not exclude more? In the search for a hierarchy of relevant sustainable investment in architecture our paper focuses on the architect Arne Jacobsen. We focus on the dualism of ...

Lifelong learning of human actions with deep neural network self-organization.

Science.gov (United States)

Parisi, German I; Tani, Jun; Weber, Cornelius; Wermter, Stefan

2017-12-01

Lifelong learning is fundamental in autonomous robotics for the acquisition and fine-tuning of knowledge through experience. However, conventional deep neural models for action recognition from videos do not account for lifelong learning but rather learn a batch of training data with a predefined number of action classes and samples. Thus, there is the need to develop learning systems with the ability to incrementally process available perceptual cues and to adapt their responses over time. We propose a self-organizing neural architecture for incrementally learning to classify human actions from video sequences. The architecture comprises growing self-organizing networks equipped with recurrent neurons for processing time-varying patterns. We use a set of hierarchically arranged recurrent networks for the unsupervised learning of action representations with increasingly large spatiotemporal receptive fields. Lifelong learning is achieved in terms of prediction-driven neural dynamics in which the growth and the adaptation of the recurrent networks are driven by their capability to reconstruct temporally ordered input sequences. Experimental results on a classification task using two action benchmark datasets show that our model is competitive with state-of-the-art methods for batch learning also when a significant number of sample labels are missing or corrupted during training sessions. Additional experiments show the ability of our model to adapt to non-stationary input avoiding catastrophic interference. Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Urban Sustainability through Public Architecture

Directory of Open Access Journals (Sweden)

Soomi Kim

2018-04-01

Full Text Available As the sustainability of contemporary cities has gained emphasis, interest in architecture has increased, due to its social and public responsibility. Since sustainability is linked to public values, research on sustainable public spaces is an important way to secure sustainability in cities. Based on this, we analyzed the sustainability of European cities by examining the design methods of public architecture according to the region. The aim of the study is to derive architectural methodology corresponding to local characteristics, and to suggest issues to consider in public architecture design to promote urban sustainability based on this. First, regarding the environmental aspect, it can be observed that there is an effort to secure sustainability. Second, in terms of social sustainability, historical value remains as a trace of architectural place, so that it continues in people’s memory. In addition, public architecture provides public places where citizens can gather and enjoy programs, while the architectural methods showed differences influenced by cultural conditions. Third, in economic sustainability, it was shown that energy saving was achieved through cost reduction through recycling of materials, facilities, or environmental factors. In conclusion, the issues to be considered in public architectural design are the voiding of urban space through architectural devices in the construction method. In other words, the intention is to form “ground” that attempts to be part of the city, and thereby create better places. Since skin and material have a deep relationship with the environment, they should have the durability and an outer skin that are suitable for the regional environment. Finally, sustainability is to be utilized through the influx of programs that meet local and environmental characteristics. Design research into public architecture that is oriented towards urban sustainability will be a task to be carried out by the

A Cognitive Architecture Using Reinforcement Learning to Enable Autonomous Spacecraft Operations, Phase I

Data.gov (United States)

National Aeronautics and Space Administration — We propose an architecture to enable the modular development and deployment of autonomous intelligent agents in support of spacecraft operations. This architecture...

Architecture as mediator of culture, democracy and hope: XXIII World Congress of Architecture in Turin

Directory of Open Access Journals (Sweden)

Bogdanov Ana

2009-01-01

Full Text Available The XXIII World Congress of Architecture organized by The International Union of Architects (UIA was held in Turin from June 29 to July 03. Every third year this great architectural event gathers together more than one thousand professionals and students from 126 countries that UIA encompasses today. The main topic of the this year Congress was 'Transmitting Architecture' suggesting that future architecture will increasingly depend on communication and integration. It also suggests that global problems which architecture has been encountered with in recent years should be considered at all levels through ever active network of information and communications. In that term exchanging and sharing knowledge and experience among architects of different national and social backgrounds are crucial. Besides, transmitting architecture has also a faint futuristic sound which points out new technologies and their increasing importance in architecture. At last, this topic emphasize that the Congress has been oriented towards and open to not only academic discussions, but to younger generations and students who have always been most experienced in using digital technologies. Throughout the Congress Programme which consisted of lectures, debates, workshops exhibitions, where more than 600 speakers participated, various topics were discussed with a common aim to gain an insight into the situation on current architectural scene, to realize the position of architects and architecture in today's sphere of social, political, cultural, technical and technological factors, and consequently to establish possible tracks and offer recommendations for further progress in this field. Out of Congress, the participants had the opportunity of being introduced to Turin, the city of vision and sustainability put into action.

Logs Analysis of Adapted Pedagogical Scenarios Generated by a Simulation Serious Game Architecture

Science.gov (United States)

Callies, Sophie; Gravel, Mathieu; Beaudry, Eric; Basque, Josianne

2017-01-01

This paper presents an architecture designed for simulation serious games, which automatically generates game-based scenarios adapted to learner's learning progression. We present three central modules of the architecture: (1) the learner model, (2) the adaptation module and (3) the logs module. The learner model estimates the progression of the…

Integrated Design Process in Problem-Based Learning

DEFF Research Database (Denmark)

Knudstrup, Mary-Ann

2004-01-01

This article reports and reflects on the learning achievements and the educational experiences in connection with the first years of the curriculum in Architecture at Aalborg University ?s Civil Engineer Education in Architecture & Design. In the article I will focus on the learning activity and ...... the students need in order to concentrate, mobilize creativity and find the personal design language which is a precondition for making good architecture....... and the method that are developed during the semester when working with an Integrated Design Process combining architecture, design, functional aspects, energy consumption, indoor environment, technology, and construction. I will emphasize the importance of working with different tools in the design process, e...

Direct current induced short-term modulation of the left dorsolateral prefrontal cortex while learning auditory presented nouns

Directory of Open Access Journals (Sweden)

Meyer Martin

2009-07-01

Full Text Available Abstract Background Little is known about the contribution of transcranial direct current stimulation (tDCS to the exploration of memory functions. The aim of the present study was to examine the behavioural effects of right or left-hemisphere frontal direct current delivery while committing to memory auditory presented nouns on short-term learning and subsequent long-term retrieval. Methods Twenty subjects, divided into two groups, performed an episodic verbal memory task during anodal, cathodal and sham current application on the right or left dorsolateral prefrontal cortex (DLPFC. Results Our results imply that only cathodal tDCS elicits behavioural effects on verbal memory performance. In particular, left-sided application of cathodal tDCS impaired short-term verbal learning when compared to the baseline. We did not observe tDCS effects on long-term retrieval. Conclusion Our results imply that the left DLPFC is a crucial area involved in short-term verbal learning mechanisms. However, we found further support that direct current delivery with an intensity of 1.5 mA to the DLPFC during short-term learning does not disrupt longer lasting consolidation processes that are mainly known to be related to mesial temporal lobe areas. In the present study, we have shown that the tDCS technique has the potential to modulate short-term verbal learning mechanism.

Architectural Design Propaedeutics in Russia: History and Prospects

Science.gov (United States)

Lee, I. S.

2017-11-01

Architectural design propaedeutics is the introductory course of the composition basics which largely determines the process of professional training of an architect and a designer and the result of their work in the form of artistically meaningful artificial human environment. The article gives a brief overview of the history of propedeutics development in Russia, the experience of application and the prospects of development of the methods used to teach the basics of composition to future professionals. The article considered the main direction of the VKHUTEMAS development, Moscow Architectural Institute. Further, the paper identifies he connection of propedeutics with the architectural and design practice of the corresponding period. The article addresses to the author’s personal experiences related to the composition basics learning at Moscow Architectural Institute in the 70-ies of the last century. Besides, it presents the examples of the works made by the students from South Ural State University at the Chair of Design and Fine Arts.

Learning turning points--in life with long-term illness--visualized with the help of the life-world philosophy.

Science.gov (United States)

Berglund, Mia M U

2014-01-01

A long-term illness is an occurrence that changes one's life and generates a need to learn how to live with it. This article is based on an empirical study of interviews on people living with different long-term illnesses. The results have shown that the learning process is a complex phenomenon interwoven with life as a whole. The essential meaning of learning to live with long-term illness concerns a movement toward a change of understanding of access to the world. In this movement, in which everyday lives as well as relationships with oneself and others are affected, a continual renegotiation is needed. Texts from existential/lifeworld philosopher, Heidegger and Gadamer, have been used to get a greater understanding of the empirical results. These texts have been analysed with particular focus on learning turning points and the importance of reflection. The results are highlighted under the following themes: Pursuit of balance-the aim of learning, The tense grip-the resistance to learning, To live more really-the possibilities of the learning, Distancing-the how of the learning, and The tense of the learning-the whole of the learning. In those learning turning points are present. Knowledge from this study has been used to make a didactic model designed to give caregivers a tool to support patients' learning. The didactic model is called: The challenge to take charge of life with a long-term illness.

Electromagnetic Physics Models for Parallel Computing Architectures

International Nuclear Information System (INIS)

Amadio, G; Bianchini, C; Iope, R; Ananya, A; Apostolakis, J; Aurora, A; Bandieramonte, M; Brun, R; Carminati, F; Gheata, A; Gheata, M; Goulas, I; Nikitina, T; Bhattacharyya, A; Mohanty, A; Canal, P; Elvira, D; Jun, S Y; Lima, G; Duhem, L

2016-01-01

The recent emergence of hardware architectures characterized by many-core or accelerated processors has opened new opportunities for concurrent programming models taking advantage of both SIMD and SIMT architectures. GeantV, a next generation detector simulation, has been designed to exploit both the vector capability of mainstream CPUs and multi-threading capabilities of coprocessors including NVidia GPUs and Intel Xeon Phi. The characteristics of these architectures are very different in terms of the vectorization depth and type of parallelization needed to achieve optimal performance. In this paper we describe implementation of electromagnetic physics models developed for parallel computing architectures as a part of the GeantV project. Results of preliminary performance evaluation and physics validation are presented as well. (paper)

Depletion of Serotonin Selectively Impairs Short-Term Memory without Affecting Long-Term Memory in Odor Learning in the Terrestrial Slug "Limax Valentianus"

Science.gov (United States)

Santa, Tomofumi; Kirino, Yutaka; Watanabe, Satoshi; Shirahata, Takaaki; Tsunoda, Makoto

2006-01-01

The terrestrial slug "Limax" is able to acquire short-term and long-term memories during aversive odor-taste associative learning. We investigated the effect of the selective serotonergic neurotoxin 5,7-dihydroxytryptamine (5,7-DHT) on memory. Behavioral studies indicated that 5,7-DHT impaired short-term memory but not long-term memory. HPLC…

Contrasting contributions of phonological short-term memory and long-term knowledge to vocabulary learning in a foreign language.

Science.gov (United States)

Masoura, Elvira V; Gathercole, Susan E

2005-01-01

The contributions of phonological short-term memory and existing foreign vocabulary knowledge to the learning of new words in a second language were compared in a sample of 40 Greek children studying English at school. The children's speed of learning new English words in a paired-associate learning task was strongly influenced by their current English vocabulary, but was independent of phonological memory skill, indexed by nonword repetition ability. However, phonological memory performance was closely linked to English vocabulary scores. The findings suggest that in learners with considerable familiarity with a second language, foreign vocabulary acquisition is mediated largely by use of existing knowledge representations.

[The architectural design of psychiatric care buildings].

Science.gov (United States)

Dunet, Lionel

2012-01-01

The architectural design of psychiatric care buildings. In addition to certain "classic" creations, the Dunet architectural office has designed several units for difficult patients as well as a specially adapted hospitalisation unit. These creations which are demanding in terms of the organisation of care require close consultation with the nursing teams. Testimony of an architect who is particularly engaged in the universe of psychiatry.

Quality Assurance in Architectural Education in Asia – On the Perspective of ‘Design’ Based Architectural Education and its Holistic Assessment

Directory of Open Access Journals (Sweden)

Lee Junsuk

2018-01-01

Full Text Available This paper starts by describing the importance of ‘Architecture’ to our society to our everyday life. It dominates our living environment, inevitably forms visual memories of life experience. Undoubtedly, a building is a ‘container’ to hold one’s everyday living, the grouping of architecture an urban environment is a ‘container.’ It is to hold one’s entire life. If then, there is paramount importance in realizing how we should properly educate our future ‘architects.’ First, it is important that the essential of architecture education must be based on proper ‘Design Studio’ format. Much of reasons are self described by following quotes such as ‘like art, architecture cannot be taught, but it can and should be cultivated,’ ‘Essentials of architecture can be learned through actual doing,’ ‘architecture education is most perfect liberal arts education format invented.’ Secondly, it is important to realize the vast meaning of architecture and architect to our society. Luckily, there is the Charter for UNESCO/UIA for Architectural Education which serves as not only a fundamental background to this discussion but also as ‘prior principle’ in articulating proper education for architects. Thirdly, considering the Charter as a principle, then it is worth discussing actual methodology as a working system in delivering ‘accredited/validated education.’ The KAAB’s Conditions is compared with the Charter. For an indepth look into the most important set of Conditions of the KAAB the Student Performance Criteria, the paper describes the origin, historic background, and evolvement of the ‘Student Performance Criteria,’ which is borne by the NAAB in 1980’s. As it weighs much importance of the whole accrediting process, it must be carefully written to reflect society’s needs of an architect. Also, it must not be written too specific nor should include quantitative measure, to avoid all school programs

EVALUATION OF UTILIZING SERVICE ORIENTED ARCHITECTURE AS A SUITABLE SOLUTION TO ALIGN UNIVERSITY MANAGEMENT INFORMATION SYSTEMS AND LEARNING MANAGEMENT SYSTEMS

Directory of Open Access Journals (Sweden)

A. M. RIAD

2009-10-01

Full Text Available To help universities achieve their goals, it is important to align managerial functionalities side by side with educational aspects. Universities consume University Management Information Systems (UMIS to handle managerial aspects as they do with Learning Management Systems (LMS to achieve learning objectives. UMIS advances LMS by decades and has reached stable and mature consistency level. LMS is the newly acquired solution in Universities; compared to UMIS, and so adopting LMSs in universities can be achieved via three different deployment approaches. First approach believes in LMS ability to replace UMIS and performing its functionalities. Second approach presents the idea of extending UMIS to include LMS functionalities. Third approach arises from the shortages of the two proposed approaches and present integration between both as the appropriate deployment approach. Service Oriented Architecture (SOA is a design pattern that can be used as a suitable architectural solution to align UMIS and LMS. SOA can be utilized in universities to overcome some of information systems’ challenges like the integration between UMIS and LMS. This paper presents the current situation at Mansoura University; Egypt, presents integration as the most suitable solution, and evaluates three different implementation techniques: Dynamic Query, Stored Procedure, and Web services. Evaluation concludes that though SOA enhanced many different aspects of both UMIS and LMS; and consequently university overall. It is not recommended to adopt SOA via Web services as the building unit of the system, but as the interdisciplinary interface between systems.

An introduction to deep learning on biological sequence data: examples and solutions.

Science.gov (United States)

Jurtz, Vanessa Isabell; Johansen, Alexander Rosenberg; Nielsen, Morten; Almagro Armenteros, Jose Juan; Nielsen, Henrik; Sønderby, Casper Kaae; Winther, Ole; Sønderby, Søren Kaae

2017-11-15

Deep neural network architectures such as convolutional and long short-term memory networks have become increasingly popular as machine learning tools during the recent years. The availability of greater computational resources, more data, new algorithms for training deep models and easy to use libraries for implementation and training of neural networks are the drivers of this development. The use of deep learning has been especially successful in image recognition; and the development of tools, applications and code examples are in most cases centered within this field rather than within biology. Here, we aim to further the development of deep learning methods within biology by providing application examples and ready to apply and adapt code templates. Given such examples, we illustrate how architectures consisting of convolutional and long short-term memory neural networks can relatively easily be designed and trained to state-of-the-art performance on three biological sequence problems: prediction of subcellular localization, protein secondary structure and the binding of peptides to MHC Class II molecules. All implementations and datasets are available online to the scientific community at https://github.com/vanessajurtz/lasagne4bio. skaaesonderby@gmail.com. Supplementary data are available at Bioinformatics online. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Sharing e-Learning Experiences: A Personalised Approach

Science.gov (United States)

Clematis, Andrea; Forcheri, Paola; Ierardi, Maria Grazia; Quarati, Alfonso

A two-tier architecture is presented, based on hybrid peer-to-peer technology, aimed at providing personalized access to heterogeneous learning sources. The architecture deploys a conceptual model that is superimposed over logically and physically separated repositories. The model is based on the interactions between users and learning resources, described by means of coments. To support users to find out material satisfying their needs, mechanisms for ranking resources and for extracting personalized views of the learning space are provided.

Presenting an Approach for Conducting Knowledge Architecture within Large-Scale Organizations.

Science.gov (United States)

Varaee, Touraj; Habibi, Jafar; Mohaghar, Ali

2015-01-01

Knowledge architecture (KA) establishes the basic groundwork for the successful implementation of a short-term or long-term knowledge management (KM) program. An example of KA is the design of a prototype before a new vehicle is manufactured. Due to a transformation to large-scale organizations, the traditional architecture of organizations is undergoing fundamental changes. This paper explores the main strengths and weaknesses in the field of KA within large-scale organizations and provides a suitable methodology and supervising framework to overcome specific limitations. This objective was achieved by applying and updating the concepts from the Zachman information architectural framework and the information architectural methodology of enterprise architecture planning (EAP). The proposed solution may be beneficial for architects in knowledge-related areas to successfully accomplish KM within large-scale organizations. The research method is descriptive; its validity is confirmed by performing a case study and polling the opinions of KA experts.

Crowdsourcing and the Architectural Competition as Organisational Technologies

DEFF Research Database (Denmark)

Kamstrup, Andreas

In this dissertation, I take interest in crowdsourcing and architectural competitions as I focus on examining how a crowdsourcing platform works in the building industry and how the practices unfolding on it relates to – and maybe mimics – architectural competitions. The platform is operated...... and situated in the building industry, where ‘the architectural competition’ stands as an institution for how to coordinate interactions between actors. I also take interest in an architectural competition setup where dialogue between architects and jury is part of the setup. In overall terms, the research...... project aims to contribute to understanding novel interaction practices in the building industry and the architectural world at large. The research is based primarily on ethnographic explorations and the results hereof is the article-based dissertation you have just embarked on. The dissertation...

The analysis of cultural architectural trends in Crisan locality

Directory of Open Access Journals (Sweden)

SELA Florentina

2010-09-01

Full Text Available The paper presents data about the identification and analyse of the traditional architectural elements in Crisan locality knowing that the tourism activity is in a continuous development. The field research (during November 2007 enabled us to develop a qualitative and quantitative analysis in terms of identification of traditional architecture elements, their conservation status, and frequency of traditional building materials use, decorative elements and specificcolors used in construction architecture. Further, based on collected data, was realized the chart - Distribution for TraditionalArchitecture Index (TAI on the distance from the center of Crisan locality, showing that in Crisan locality the houses were and are built without taking into account any rule, destroying thus traditional architecture.

Il workshop in architettura. Un processo di apprendimento in progress / The Workshop in Architecture. A learning process in progress

Directory of Open Access Journals (Sweden)

João Barros Matos

2014-03-01

Full Text Available Si riconosce che il workshop costituisce un modello dinamico di apprendimento, in continua evoluzione e sperimentazione, e in grado di essere costantemente riformulato per giungere a nuove e stimolanti situazioni per insegnare la pratica dell'architettura. Si tratta infatti di un modello particolarmente adatto alla ricerca di un approccio globale e coerente al progetto architettonico, dato che evita di separare gli argomenti in frammenti isolati nel processo progettuale. Riunire i gruppi di lavoro nello stesso spazio e nel tempo limitato a disposizione richiede un pensiero intenso e un ritmo di produzione che aiuta a migliorare il rapporto tra i riferimenti teorici riportabili al soggetto trattato e gli aspetti relativi all'elaborazione e alla comunicazione del progetto architettonico. / We recognize the workshop as a dynamic model of learning, which is continuously changing and experimenting, and is able to be constantly redesigned to achieve new and stimulating situations for teaching the practice of architecture. In fact it is a particularly suitable model for seeking a global and coherent approach to the architectural project, while avoiding separating the topics into isolated fragments, throughout the project’s process. Bringing work teams together in the same space and within a reduced time limit requires intensive thought and a rhythm of production which helps improve the relation between the theoretical references of the subject’s production and the aspects related to producing work and communication elements for the architectural project.

Vocabulary learning in primary school children: working memory and long-term memory components.

Science.gov (United States)

Morra, Sergio; Camba, Roberta

2009-10-01

The goal of this study was to investigate which working memory and long-term memory components predict vocabulary learning. We used a nonword learning paradigm in which 8- to 10-year-olds learned picture-nonword pairs. The nonwords varied in length (two vs. four syllables) and phonology (native sounding vs. including one Russian phoneme). Short, phonologically native nonwords were learned best, whereas learning long nonwords leveled off after a few presentation cycles. Linear structural equation analyses showed an influence of three constructs-phonological sensitivity, vocabulary knowledge, and central attentional resources (M capacity)-on nonword learning, but the extent of their contributions depended on specific characteristics of the nonwords to be learned. Phonological sensitivity predicted learning of all nonword types except short native nonwords, vocabulary predicted learning of only short native nonwords, and M capacity predicted learning of short nonwords but not long nonwords. The discussion considers three learning processes-effortful activation of phonological representations, lexical mediation, and passive associative learning-that use different cognitive resources and could be involved in learning different nonword types.

''Beauty of Wholeness and Beauty of Partiality.'' New Terms Defining the Concept of Beauty in Architecture in Terms of Sustainability and Computer Aided Design

Science.gov (United States)

Farid, Ayman A.; Zaghloul, Weaam M.; Dewidar, Khaled M.

2014-01-01

The great shift in sustainability and computer aided design in the field of architecture caused a remarkable change in the architecture philosophy, new aspects of beauty and aesthetic values are being introduced, and traditional definitions for beauty cannot fully cover this aspects, which causes a gap between; new architecture works criticism and…

Assessment Focus in Studio: What Is Most Prominent in Architecture, Art and Design?

Science.gov (United States)

de La Harpe, Barbara; Peterson, J. Fiona; Frankham, Noel; Zehner, Robert; Neale, Douglas; Musgrave, Elizabeth; McDermott, Ruth

2009-01-01

What can be learned about assessment from what educators in the creative practices focus their studio publications on? What should form the focus of assessment in architecture, art and design studios? In this article we draw on 118 journal articles on studio published over the last decade in three disciplines; architecture, art and design to…

Parents' learning needs and preferences when sharing management of their child's long-term/chronic condition: A systematic review.

Science.gov (United States)

Nightingale, Ruth; Friedl, Simone; Swallow, Veronica

2015-11-01

This review aimed to (1) identify parents' learning needs and preferences when sharing the management of their child's long-term/chronic (long-term) condition and (2) inform healthcare professional support provided to parents across the trajectory. We conducted a literature search in seven health databases from 1990 to 2013. The quality of included studies was assessed using a critical appraisal tool developed for reviewing the strengths and weaknesses of qualitative, quantitative and mixed methods studies. Twenty-three studies met our criteria and were included in the review. Three themes emerged from synthesis of the included studies: (1) parents' learning needs and preferences (2) facilitators to parents' learning, and (3) barriers to parents' learning. Asking parents directly about their learning needs and preferences may be the most reliable way for healthcare professionals to ascertain how to support and promote individual parents' learning when sharing management of their child's long-term condition. With the current emphasis on parent-healthcare professional shared management of childhood long-term conditions, it is recommended that professionals base their assessment of parents' learning needs and preferences on identified barriers and facilitators to parental learning. This should optimise delivery of home-based care, thereby contributing to improved clinical outcomes for the child. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Architectural Decision Management for Digital Transformation of Products and Services

Directory of Open Access Journals (Sweden)

Alfred Zimmermann

2016-04-01

Full Text Available The digitization of our society changes the way we live, work, learn, communicate, and collaborate. The Internet of Things, Enterprise Social Networks, Adaptive Case Management, Mobility systems, Analytics for Big Data, and Cloud services environments are emerging to support smart connected products and services and the digital transformation. Biological metaphors of living and adaptable ecosystems provide the logical foundation for self-optimizing and resilient run-time environments for intelligent business services and service-oriented enterprise architectures. Our aim is to support flexibility and agile transformations for both business domains and related information technology. The present research paper investigates mechanisms for decision analytics in the context of multi-perspective explorations of enterprise services and their digital enterprise architectures by extending original architecture reference models with state of art elements for agile architectural engineering for the digitization and collaborative architectural decision support. The paper’s context focuses on digital transformations of business and IT and integrates fundamental mappings between adaptable digital enterprise architectures and service-oriented information systems. We are putting a spotlight on the example domain – Internet of Things.

Cellular Automata as a learning process in Architecture and Urban design

DEFF Research Database (Denmark)

Jensen, Mads Brath; Foged, Isak Worre

2014-01-01

. An architectural methodological response to this situation is presented through the development of a conceptual computational design system that allows these dynamics to unfold and to be observed for architectural design decision taking. Reflecting on the development and implementation of a cellular automata based...... design approach on a master level urban design studio this paper will discuss the strategies for dealing with complexity at an urban scale as well as the pedagogical considerations behind applying computational tools and methods to a urban design education....

Symbiotic architecture: Redefinition of recycling design principles

OpenAIRE

Milan Šijaković; Ana Perić

2018-01-01

The study seeks to examine the possibility of implementing the biological concept of symbiosis into the field of architecture for redefining the design principles of architectural recycling. Through an in-depth analysis of the biological concept of symbiosis (i.e., a close and often long-term interaction between two or more different biological species and the criteria that govern the differentiation between symbiotic associations), three redefined design principles of recycling—commensalism,...

Renewing Theories, Methods and Design Practices: Challenges for Architectural Education

Directory of Open Access Journals (Sweden)

Andri Yatmo Yandi

2018-01-01

Full Text Available Architectural education should promote the advancement of knowledge that is necessary as the basis for the development of excellent design practice. Architectural education needs to respond appropriately to the current issues in the society. To find its way into the society in an appropriate way, architecture needs to be liquid. The ability to address the liquidity of architecture requires educational approach that promotes the ability to work with a range of design methods and approaches. There are several principles that become the basis for developing architectural education that could strengthen its position within the society: to promote knowledge-based design practice, to embrace variety of design methods and approaches; to keep a balance between design knowledge and design skills; while at the same time to aim for mastery and excellence in design. These principles should be the basis for defining and developing the curriculum and the process of design learning architectural education. Then the main challenge is on our willingness to be liquid in developing architectural education, which needs continuous renewal and update to respond to the changing context of knowledge, technology and society.

Learning Outcomes in Affective Domain within Contemporary Architectural Curricula

Science.gov (United States)

Savic, Marko; Kashef, Mohamad

2013-01-01

Contemporary architectural education has shifted from the traditional focus on providing students with specific knowledge and skill sets or "inputs" to outcome based, student-centred educational approach. Within the outcome based model, students' performance is assessed against measureable objectives that relate acquired knowledge…

Learning Networks Distributed Environment

NARCIS (Netherlands)

Martens, Harrie; Vogten, Hubert; Koper, Rob; Tattersall, Colin; Van Rosmalen, Peter; Sloep, Peter; Van Bruggen, Jan; Spoelstra, Howard

2005-01-01

Learning Networks Distributed Environment is a prototype of an architecture that allows the sharing and modification of learning materials through a number of transport protocols. The prototype implements a p2p protcol using JXTA.

Monte Carlo simulations on SIMD computer architectures

International Nuclear Information System (INIS)

Burmester, C.P.; Gronsky, R.; Wille, L.T.

1992-01-01

In this paper algorithmic considerations regarding the implementation of various materials science applications of the Monte Carlo technique to single instruction multiple data (SIMD) computer architectures are presented. In particular, implementation of the Ising model with nearest, next nearest, and long range screened Coulomb interactions on the SIMD architecture MasPar MP-1 (DEC mpp-12000) series of massively parallel computers is demonstrated. Methods of code development which optimize processor array use and minimize inter-processor communication are presented including lattice partitioning and the use of processor array spanning tree structures for data reduction. Both geometric and algorithmic parallel approaches are utilized. Benchmarks in terms of Monte Carl updates per second for the MasPar architecture are presented and compared to values reported in the literature from comparable studies on other architectures

Climatic architecture: Situation, principles, establishment of technical policies

International Nuclear Information System (INIS)

Brejon, P.

1994-01-01

Climatic architecture, despite the efforts of its protagonists, remains nearly marginal. Nevertheless, environmental awareness is gaining ground, whether through concern for the depletion of natural resources, for global warming or for CO 2 emissions. It is only by establishing technical policies, making an effort in terms of training and research and distributing knowledge to all those in the business that the principles of climatic architecture will actually be applied in the field. Resources are available to make climatic architecture a fundamental concern in the design of environmentally friendly buildings. (author). 6 refs, 3 tabs

Activate: Social Action in landscape Architecture Design Education

Directory of Open Access Journals (Sweden)

Helen Mclean

2004-06-01

Full Text Available This paper is a reflection on the teaching approach adopted in two landscape architecture design studios where students were engaged in developing design projects and campaign strategies informed by personal understandings of action and advocacy for and with communities. The approach was a deliberate application of principles from advocacy theory enmeshed in an educational philosophy of learner-centeredness and the intent was for students to develop strong individual senses of awareness and empowerment in an environment that value personal interests and learning. An evaluation of the approach as an attempt to position landscape architecture as social practice is provided.

Architectural accessibility of shools: Implications for individual education plans for pupils with physical disabilities

Directory of Open Access Journals (Sweden)

Nikolić Snežana

2015-01-01

Full Text Available In available studies of inclusive practice and IEP, emphasis was placed on the activities undertaken to reach the accessibility of teaching programs for students with special needs. Architectural accessibility of schools and its implementation for IEP has not been researched enough. The main aim of this research was to highlight the importance of architectural barriers for the process of creating IEP for pupils with physical disabilities, trough determining a current situation in regular elementary schools in Belgrade. An observation list, with 38 variables of architectural accessibility was used in this research. The sample consisted of 12 elementary schools in “Zvezdara” Municipality, Belgrade. The results show that there is complete architectural accessibility in nine out of 38 variables. All nine variables belong to “universal design”. In other variables, elements that measure specific components of architectural accessibility for pupils with physical disabilities mainly intermit. This must be taken into consideration when we discuss IEP, primarily from the aspect of planning additional help and support to professionals, providing additional time for pupils’ work and learning in class, and providing adequate place for learning.

A neutral network based technique for short-term forecasting of anomalous load periods

Energy Technology Data Exchange (ETDEWEB)

Sforna, M [ENEL, s.p.a, Italian Power Company (Italy); Lamedica, R; Prudenzi, A [Rome Univ. ` La Sapienza` , Rome (Italy); Caciotta, M; Orsolini Cencelli, V [Rome Univ. III, Rome (Italy)

1995-01-01

The paper illustrates a part of the research activity conducted by authors in the field of electric Short Term Load Forecasting (STLF) based on Artificial Neural Network (ANN) architectures. Previous experiences with basic ANN architectures have shown that, even though these architecture provide results comparable with those obtained by human operators for most normal days, they evidence some accuracy deficiencies when applied to `anomalous` load conditions occurring during holidays and long weekends. For these periods a specific procedure based upon a combined (unsupervised/supervised) approach has been proposed. The unsupervised stage provides a preventive classification of the historical load data by means of a Kohonen`s Self Organizing Map (SOM). The supervised stage, performing the proper forecasting activity, is obtained by using a multi-layer percept ron with a back propagation learning algorithm similar to the ones above mentioned. The unconventional use of information deriving from the classification stage permits the proposed procedure to obtain a relevant enhancement of the forecast accuracy for anomalous load situations.

Presenting an Approach for Conducting Knowledge Architecture within Large-Scale Organizations

Science.gov (United States)

Varaee, Touraj; Habibi, Jafar; Mohaghar, Ali

2015-01-01

Knowledge architecture (KA) establishes the basic groundwork for the successful implementation of a short-term or long-term knowledge management (KM) program. An example of KA is the design of a prototype before a new vehicle is manufactured. Due to a transformation to large-scale organizations, the traditional architecture of organizations is undergoing fundamental changes. This paper explores the main strengths and weaknesses in the field of KA within large-scale organizations and provides a suitable methodology and supervising framework to overcome specific limitations. This objective was achieved by applying and updating the concepts from the Zachman information architectural framework and the information architectural methodology of enterprise architecture planning (EAP). The proposed solution may be beneficial for architects in knowledge-related areas to successfully accomplish KM within large-scale organizations. The research method is descriptive; its validity is confirmed by performing a case study and polling the opinions of KA experts. PMID:25993414

Deep learning for automated drivetrain fault detection

DEFF Research Database (Denmark)

Bach-Andersen, Martin; Rømer-Odgaard, Bo; Winther, Ole

2018-01-01

A novel data-driven deep-learning system for large-scale wind turbine drivetrain monitoring applications is presented. It uses convolutional neural network processing on complex vibration signal inputs. The system is demonstrated to learn successfully from the actions of human diagnostic experts...... the fleet-wide diagnostic model performance. The analysis also explores the time dependence of the diagnostic performance, providing a detailed view of the timeliness and accuracy of the diagnostic outputs across the different architectures. Deep architectures are shown to outperform the human analyst...... as well as shallow-learning architectures, and the results demonstrate that when applied in a large-scale monitoring system, machine intelligence is now able to handle some of the most challenging diagnostic tasks related to wind turbines....

Spatial short-term memory in children with nonverbal learning disabilities: impairment in encoding spatial configuration.

Science.gov (United States)

Narimoto, Tadamasa; Matsuura, Naomi; Takezawa, Tomohiro; Mitsuhashi, Yoshinori; Hiratani, Michio

2013-01-01

The authors investigated whether impaired spatial short-term memory exhibited by children with nonverbal learning disabilities is due to a problem in the encoding process. Children with or without nonverbal learning disabilities performed a simple spatial test that required them to remember 3, 5, or 7 spatial items presented simultaneously in random positions (i.e., spatial configuration) and to decide if a target item was changed or all items including the target were in the same position. The results showed that, even when the spatial positions in the encoding and probe phases were similar, the mean proportion correct of children with nonverbal learning disabilities was 0.58 while that of children without nonverbal learning disabilities was 0.84. The authors argue with the results that children with nonverbal learning disabilities have difficulty encoding relational information between spatial items, and that this difficulty is responsible for their impaired spatial short-term memory.

Orientalist Orientals: re-conceptualizing Ottoman architecture in the late Empire

Directory of Open Access Journals (Sweden)

Sibel Bozdogan

2015-12-01

Full Text Available Review of Ahmet Ersoy, Architecture and the Late Ottoman Historical Imaginary: Reconfiguring the Architectural Past in a Modernizing Empire: Late Ottoman Empire’s concerted effort to forge a modern imperial identity to better position itself within the emerging world system was accompanied by a proto-nationalist desire for an authentic cultural past. In the field of art and architecture, the result was a new interest and patriotic pride in the Islamic artistic and architectural heritage of the Empire, along with an intense period of creative engagement with European artistic and scholarly discourses. The book offers a meticulously historicized account of what emerged as a major intellectual effort to construct a genealogy for Ottoman architecture, to make it intelligible in terms of Western architectural theory and above all, to recast it as a historically evolving style capable of revival in the modern world. In doing so, it critically engages with recent scholarly debates on modernity, historicism, romanticism, orientalism, nationalism, revivalism, cosmopolitanism, authenticity, eclecticism and hybridity among other topics. Taking issue with both the received “westernization paradigm” and its companion, the notorious “decline thesis” in terms of which the architecture of Ottoman Tanzimat has long been written, it gives us a more complex, more nuanced, more cosmopolitan and more ambivalent picture. As such, it makes a major contribution to Ottoman/ Turkish studies, to the historiography of Islamic architecture and to cross-cultural studies in general.

Study on the contract characteristics of Internet architecture

Science.gov (United States)

Fu, Chuan; Zhang, Guoqing; Yang, Jing; Liu, Xiaona

2011-11-01

The importance of Internet architecture goes beyond the technical aspects. The architecture of Internet has a profound influence on the Internet-based economy in term of how the profits are shared by different market participants (Internet Server Provider, Internet Content Provider), since it is the physical foundation upon which the profit-sharing contracts are derived. In order to facilitate the continuing growth of the Internet, it is necessary to systematically study factors that curtail the Internet-based economy including the existing Internet architecture. In this paper, we used transaction cost economics and contract economics as new tools to analyse the contracts derived from the current Internet architecture. This study sheds light on how the macro characteristics of Internet architecture effect the microeconomical decisions of market participants. Based on the existing Internet architecture, we discuss the possibility of promoting Internet-based economy by encouraging user to connect their private stub network to the Internet and giving the user more right of self-governing.

First demonstration of olfactory learning and long term memory in honey bee queens.

Science.gov (United States)

Gong, Zhiwen; Tan, Ken; Nieh, James C

2018-05-18

As the primary source of colony reproduction, social insect queens play a vital role. However, the cognitive abilities of queens are not well understood, although queen learning and memory are essential in multiple species such as honey bees, in which virgin queens must leave the nest and then successful learn to navigate back over repeated nuptial flights. Honey bee queen learning has never been previously demonstrated. We therefore tested olfactory learning in queens and workers and examined the role of DNA methylation, which plays a key role in long term memory formation. We provide the first evidence that honey bee queens have excellent learning and memory. The proportion of honey bee queens that exhibited learning was 5-fold higher than workers at every tested age and, for memory, 4-fold higher than workers at a very young age. DNA methylation may play a key role in this queen memory because queens exhibiting remote memory had a more consistent elevation in Dnmt3 gene expression as compared to workers. Both castes also showed excellent remote memory (7 day memory), which was reduced by 14-20% by the DNA methylation inhibitor, zebularine. Given that queens live about 10-fold longer than workers, these results suggest that queens can serve as an excellently long-term reservoir of colony memory. © 2018. Published by The Company of Biologists Ltd.

Future Architectures for NREN infrastructures

DEFF Research Database (Denmark)

Wessing, Henrik; Bozorgebrahimi, Kurosh; Belter, Bartosz

This study identifies key requirements for NRENs towards future network architectures that become apparent as users become moremobile and have increased expectations in terms of availability of data. In addition, cost saving requirements call for federated use of, inparticular, the optical spectral...

Studies of long-term noopept and afobazol treatment in rats with learned helplessness neurosis.

Science.gov (United States)

Uyanaev, A A; Fisenko, V P

2006-08-01

Long-lasting effects of new Russian psychotropic drugs Noopept and Afobazol on active avoidance conditioning and formation of learned helplessness neurosis were studied on an original experimental model in rats. Noopept eliminated the manifestations of learned helplessness after long-term (21-day) treatment by increasing the percent of trained animals. Afobazol was low effective in preventing manifestations of learned helplessness, but if used for a long time, it reduced the incidence of learned helplessness development by increasing the percent of untrained animals.

A Holistic Approach to Knowledge Management and Social Learning: lessons learnt from military headquarters

Directory of Open Access Journals (Sweden)

Leoni Warne

2001-11-01

Full Text Available This paper reports on research conducted by the Enterprise Social Learning Architecture (ESLA team of the Defence Science and Technology Organisation. The ESLA team is investigating collaborative social learning within the Australian Defence Organisation (ADO. Social learning is tightly coupled to knowledge management. Three studies in three different settings have been conducted to date. The studies have provided multi-layered findings about social learning, and validated the use of ethnography for this purpose. Preliminary findings are discussed in this paper in terms of identified enablers and motivators for effective social learning and knowledge management. Although the paper deals with the defence environment, the findings can be generalised to other organisational settings, as the study deals with understanding the issues inherent in building sustainable and adaptive learning organisations.

A Review of Enterprise Architecture Use in Defence

Science.gov (United States)

2014-09-01

dictionary of terms; • architecture description language; • architectural information (pertaining both to specific projects and higher level...UNCLASSIFIED 59 Z39.19 2005 Monolingual Controlled Vocabularies, National Information Standards Organisation, Bethesda: NISO Press, 2005. BABOK 2009...togaf/ Z39.19 2005 ANSI/NISO Z39.19 – Guidelines for the Construction, Format, and Management of Monolingual Controlled Vocabularies, Bethesda: NISO

Spatial Narrative and Perception of Space in Historical and Contemporary Architectural Compositions

Directory of Open Access Journals (Sweden)

Gytis Oržikauskas

2013-10-01

Full Text Available One of the most important features in historical architectural compositions is geometrical rendition of architectural space and volume. This feature was highlighted in terms of architecture of Modernism. According to the theory of modern architecture and Geschtalt Psychology, elementary geometrical forms and main spatial features were underlined and accepted as anthropomorphic principle of architecture. Even today main spatial characteristics are accepted as a key principle of architectural composition. However, architects and critics of contemporary – post-modern and deconstructive – architecture emphasize the value of architectural narrative achieved not only through perception of space, but also by its relationship to social and cultural meanings and subtext of architecture. A narrative, as architectural feature, is realized in some compositions of the deconstructivist and postmodern architecture, both worldwide and in Lithuania

CAAD as Computer-Activated Architectural Design

DEFF Research Database (Denmark)

Galle, Per

1998-01-01

In a brief sketch, drawing on a general philosophical conception of human interaction with the world, the architectural design process is analysed in terms of two kinds of human action: interpretation and production. Both of these are seen as establishing a link between mental and material entities....... On this background two alternative roles of computers in computer-aided architectural design (CAAD) are distinguished: a passive and a more active role, where in the latter case, the computer’s capacity for symbol manipulation is utilized to influence design thinking actively. The analysis offered in this paper may...... serve at least two purposes: to provide a conceptual machinery for research and reflection on CAAD, and to clarify the notion of ‘artificial intelligence’ in the light of architectural design....

Designing network on-chip architectures in the nanoscale era

CERN Document Server

Flich, Jose

2010-01-01

Going beyond isolated research ideas and design experiences, Designing Network On-Chip Architectures in the Nanoscale Era covers the foundations and design methods of network on-chip (NoC) technology. The contributors draw on their own lessons learned to provide strong practical guidance on various design issues.Exploring the design process of the network, the first part of the book focuses on basic aspects of switch architecture and design, topology selection, and routing implementation. In the second part, contributors discuss their experiences in the industry, offering a roadmap to recent p

Architecture with Landscape Methods : Case Study of the Rolex Learning Centre Lausanne by SANAA Tokyo

NARCIS (Netherlands)

Jauslin, D.

2010-01-01

Contemporary architecture has been strongly influenced by the concept of landscape in recent times. A new mindset evolves that changes the core of the architectural discipline: the organization and composition of architectural space as a landscape. The scope of this thesis is to investigate and

An information architecture for validating courseware

OpenAIRE

Melia, Mark; Pahl, Claus

2007-01-01

Courseware validation should locate Learning Objects inconsistent with the courseware instructional design being used. In order for validation to take place it is necessary to identify the implicit and explicit information needed for validation. In this paper, we identify this information and formally define an information architecture to model courseware validation information explicitly. This promotes tool-support for courseware validation and its interoperability with the courseware specif...

Architecture Knowledge for Evaluating Scalable Databases

Science.gov (United States)

2015-01-16

Architecture Knowledge for Evaluating Scalable Databases 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) Nurgaliev... Scala , Erlang, Javascript Cursor-based queries Supported, Not Supported JOIN queries Supported, Not Supported Complex data types Lists, maps, sets...is therefore needed, using technology such as machine learning to extract content from product documentation. The terminology used in the database

A Study on the Creation of Architectural Spaces for Children Using Rumi’s Storytelling Method

Directory of Open Access Journals (Sweden)

Fatemeh Moradi

2017-06-01

Full Text Available Public areas of behavioral science knowledge on issues related to children's environmental architecture interested in building their studies, based on the theories of learning and development of children. Children have a particular position in spaces, where grownups live, therefore the quality of spaces, proportions, architectural details, materials and so on, should act in a way that create curiosity, understanding of space and communication, selection and finally, the desire to learn and develop creativity in children. The aim of this project is to create conditions and facilities regarding growing, nurturing, creativity, promotion of knowledge and ability of children. The research methodology in this paper consists of two parts: the field and library studies. Research goals include the creation of conditions and possibilities that are the development of creativity and promotion of children's knowledge and ability. Logical and comparative reasoning method has been used for the conclusion based on case studies. Using dynamic architecture can help to develop creativity in children and the dynamics of architectural space can add deepen the joy of playing and storytelling. As a result, the research tries to link psychology and its appearance in the architectural space. The study suggest that storytelling can be facilitated through architectural space and with the help of it, we can increase the architectural designing of educational and artistic spaces.

Non-technical approach to the challenges of ecological architecture: Learning from Van der Laan

Directory of Open Access Journals (Sweden)

María-Jesús González-Díaz

2016-06-01

Full Text Available Up to now, ecology has a strong influence on the development of technical and instrumental aspects of architecture, such as renewable and efficient of resources and energy, CO2 emissions, air quality, water reuse, some social and economical aspects. These concepts define the physical keys and codes of the current ׳sustainable׳ architecture, normally instrumental but rarely and insufficiently theorised. But is not there another way of bringing us to nature? We need a theoretical referent. This is where we place the Van der Laan׳s thoughts: he considers that art completes nature and he builds his theoretical discourse on it, trying to better understand many aspects of architecture. From a conceptual point of view, we find in his works sense of timelessness, universality, special attention on the ׳locus׳ and a strict sense of proportions and use of materials according to nature. Could these concepts complement our current sustainable architecture? How did Laan apply the current codes of ecology in his architecture? His work may help us to get a theoretical interpretation of nature and not only physical. This paper develops this idea through the comparison of thoughts and works of Laan with the current technical approach to ׳sustainable׳ architecture.

A Machine Learning Concept for DTN Routing

Science.gov (United States)

Dudukovich, Rachel; Hylton, Alan; Papachristou, Christos

2017-01-01

This paper discusses the concept and architecture of a machine learning based router for delay tolerant space networks. The techniques of reinforcement learning and Bayesian learning are used to supplement the routing decisions of the popular Contact Graph Routing algorithm. An introduction to the concepts of Contact Graph Routing, Q-routing and Naive Bayes classification are given. The development of an architecture for a cross-layer feedback framework for DTN (Delay-Tolerant Networking) protocols is discussed. Finally, initial simulation setup and results are given.

Pre-learning stress differentially affects long-term memory for emotional words, depending on temporal proximity to the learning experience.

Science.gov (United States)

Zoladz, Phillip R; Clark, Brianne; Warnecke, Ashlee; Smith, Lindsay; Tabar, Jennifer; Talbot, Jeffery N

2011-07-06

Stress exerts a profound, yet complex, influence on learning and memory and can enhance, impair or have no effect on these processes. Here, we have examined how the administration of stress at different times before learning affects long-term (24-hr) memory for neutral and emotional information. Participants submerged their dominant hand into a bath of ice cold water (Stress) or into a bath of warm water (No stress) for 3 min. Either immediately (Exp. 1) or 30 min (Exp. 2) after the water bath manipulation, participants were presented with a list of 30 words varying in emotional valence. The next day, participants' memory for the word list was assessed via free recall and recognition tests. In both experiments, stressed participants exhibited greater blood pressure, salivary cortisol levels, and subjective pain and stress ratings than non-stressed participants in response to the water bath manipulation. Stress applied immediately prior to learning (Exp. 1) enhanced the recognition of positive words, while stress applied 30 min prior to learning (Exp. 2) impaired free recall of negative words. Participants' recognition of positive words in Experiment 1 was positively associated with their heart rate responses to the water bath manipulation, while participants' free recall of negative words in Experiment 2 was negatively associated with their blood pressure and cortisol responses to the water bath manipulation. These findings indicate that the differential effects of pre-learning stress on long-term memory may depend on the temporal proximity of the stressor to the learning experience and the emotional nature of the to-be-learned information. Copyright © 2011. Published by Elsevier Inc.

SUSTAINABLE ARCHITECTURE : WHAT ARCHITECTURE STUDENTS THINK

OpenAIRE

SATWIKO, PRASASTO

2013-01-01

Sustainable architecture has become a hot issue lately as the impacts of climate change become more intense. Architecture educations have responded by integrating knowledge of sustainable design in their curriculum. However, in the real life, new buildings keep coming with designs that completely ignore sustainable principles. This paper discusses the results of two national competitions on sustainable architecture targeted for architecture students (conducted in 2012 and 2013). The results a...

A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series.

Science.gov (United States)

Chambon, Stanislas; Galtier, Mathieu N; Arnal, Pierrick J; Wainrib, Gilles; Gramfort, Alexandre

2018-04-01

Sleep stage classification constitutes an important preliminary exam in the diagnosis of sleep disorders. It is traditionally performed by a sleep expert who assigns to each 30 s of the signal of a sleep stage, based on the visual inspection of signals such as electroencephalograms (EEGs), electrooculograms (EOGs), electrocardiograms, and electromyograms (EMGs). We introduce here the first deep learning approach for sleep stage classification that learns end-to-end without computing spectrograms or extracting handcrafted features, that exploits all multivariate and multimodal polysomnography (PSG) signals (EEG, EMG, and EOG), and that can exploit the temporal context of each 30-s window of data. For each modality, the first layer learns linear spatial filters that exploit the array of sensors to increase the signal-to-noise ratio, and the last layer feeds the learnt representation to a softmax classifier. Our model is compared to alternative automatic approaches based on convolutional networks or decisions trees. Results obtained on 61 publicly available PSG records with up to 20 EEG channels demonstrate that our network architecture yields the state-of-the-art performance. Our study reveals a number of insights on the spatiotemporal distribution of the signal of interest: a good tradeoff for optimal classification performance measured with balanced accuracy is to use 6 EEG with 2 EOG (left and right) and 3 EMG chin channels. Also exploiting 1 min of data before and after each data segment offers the strongest improvement when a limited number of channels are available. As sleep experts, our system exploits the multivariate and multimodal nature of PSG signals in order to deliver the state-of-the-art classification performance with a small computational cost.

An Architecture for Proof Planning Systems

OpenAIRE

Dennis, Louise Abigail

2005-01-01

This paper presents a generic architecture for proof planning systems in terms of an interaction between a customisable proof module and search module. These refer to both global and local information contained in reasoning states.

Enhancing E-Learning through Web Service and Intelligent Agents

Directory of Open Access Journals (Sweden)

Nasir Hussain

2006-04-01

Full Text Available E-learning is basically the integration of various technologies. E-Learning technology is now maturing and we can find a multiplicity of standards. New technologies such as agents and web services are promising better results. In this paper we have proposed an e-learning architecture that is dependent on intelligent agent systems and web services. These communication technologies will make the architecture more robust, scalable and efficient.

Algorithms and architectures of artificial intelligence

CERN Document Server

Tyugu, E

2007-01-01

This book gives an overview of methods developed in artificial intelligence for search, learning, problem solving and decision-making. It gives an overview of algorithms and architectures of artificial intelligence that have reached the degree of maturity when a method can be presented as an algorithm, or when a well-defined architecture is known, e.g. in neural nets and intelligent agents. It can be used as a handbook for a wide audience of application developers who are interested in using artificial intelligence methods in their software products. Parts of the text are rather independent, so that one can look into the index and go directly to a description of a method presented in the form of an abstract algorithm or an architectural solution. The book can be used also as a textbook for a course in applied artificial intelligence. Exercises on the subject are added at the end of each chapter. Neither programming skills nor specific knowledge in computer science are expected from the reader. However, some p...

Architecture

OpenAIRE

Clear, Nic

2014-01-01

When discussing science fiction’s relationship with architecture, the usual practice is to look at the architecture “in” science fiction—in particular, the architecture in SF films (see Kuhn 75-143) since the spaces of literary SF present obvious difficulties as they have to be imagined. In this essay, that relationship will be reversed: I will instead discuss science fiction “in” architecture, mapping out a number of architectural movements and projects that can be viewed explicitly as scien...

Enhanced risk management by an emerging multi-agent architecture

Science.gov (United States)

Lin, Sin-Jin; Hsu, Ming-Fu

2014-07-01

Classification in imbalanced datasets has attracted much attention from researchers in the field of machine learning. Most existing techniques tend not to perform well on minority class instances when the dataset is highly skewed because they focus on minimising the forecasting error without considering the relative distribution of each class. This investigation proposes an emerging multi-agent architecture, grounded on cooperative learning, to solve the class-imbalanced classification problem. Additionally, this study deals further with the obscure nature of the multi-agent architecture and expresses comprehensive rules for auditors. The results from this study indicate that the presented model performs satisfactorily in risk management and is able to tackle a highly class-imbalanced dataset comparatively well. Furthermore, the knowledge visualised process, supported by real examples, can assist both internal and external auditors who must allocate limited detecting resources; they can take the rules as roadmaps to modify the auditing programme.

Learning-dependent neurogenesis in the olfactory bulb determines long-term olfactory memory.

Science.gov (United States)

Sultan, S; Mandairon, N; Kermen, F; Garcia, S; Sacquet, J; Didier, A

2010-07-01

Inhibitory interneurons of the olfactory bulb are subjected to permanent adult neurogenesis. Their number is modulated by learning, suggesting that they could play a role in plastic changes of the bulbar network associated with olfactory memory. Adult male C57BL/6 mice were trained in an associative olfactory task, and we analyzed long-term retention of the task 5, 30, and 90 d post-training. In parallel, we assessed the fate of these newborn cells, mapped their distribution in the olfactory bulb and measured their functional implication using the immediate early gene Zif268. In a second set of experiments, we pharmacologically modulated glutamatergic transmission and using the same behavioral task assessed the consequences on memory retention and neurogenesis. Finally, by local infusion of an antimitotic drug, we selectively blocked neurogenesis during acquisition of the task and looked at the effects on memory retention. First we demonstrated that retrieval of an associative olfactory task recruits the newborn neurons in odor-specific areas of the olfactory bulb selected to survive during acquisition of the task and that it does this in a manner that depends on the strength of learning. We then demonstrated that acquisition is not dependent on neurogenesis if long-term retention of the task is abolished by blocking neurogenesis. Adult-born neurons are thus involved in changes in the neural representation of an odor; this underlies long-term olfactory memory as the strength of learning is linked to the duration of this memory. Neurogenesis thus plays a crucial role in long-term olfactory memory.

Diversity of devices along with diversity of data formats as a new challenge in global teaching and learning system

Science.gov (United States)

Sultana, Razia; Christ, Andreas; Meyrueis, Patrick

2014-07-01

The popularity of mobile communication devices is increasing day by day among students, especially for e-learning activities. "Always-ready-to-use" feature of mobile devices is a key motivation for students to use it even in a short break for a short time. This leads to new requirements regarding learning content presentation, user interfaces, and system architecture for heterogeneous devices. To support diverse devices is not enough to establish global teaching and learning system, it is equally important to support various formats of data along with different sort of devices having different capabilities in terms of processing power, display size, supported data formats, operating system, access method of data etc. Not only the existing data formats but also upcoming data formats, such as due to research results in the area of optics and photonics, virtual reality etc should be considered. This paper discusses the importance, risk and challenges of supporting heterogeneous devices to provide heterogeneous data as a learning content to make global teaching and learning system literally come true at anytime and anywhere. We proposed and implemented a sustainable architecture to support device and data format independent learning system.

A neurocomputational theory of how explicit learning bootstraps early procedural learning.

Science.gov (United States)

Paul, Erick J; Ashby, F Gregory

2013-01-01

It is widely accepted that human learning and memory is mediated by multiple memory systems that are each best suited to different requirements and demands. Within the domain of categorization, at least two systems are thought to facilitate learning: an explicit (declarative) system depending largely on the prefrontal cortex, and a procedural (non-declarative) system depending on the basal ganglia. Substantial evidence suggests that each system is optimally suited to learn particular categorization tasks. However, it remains unknown precisely how these systems interact to produce optimal learning and behavior. In order to investigate this issue, the present research evaluated the progression of learning through simulation of categorization tasks using COVIS, a well-known model of human category learning that includes both explicit and procedural learning systems. Specifically, the model's parameter space was thoroughly explored in procedurally learned categorization tasks across a variety of conditions and architectures to identify plausible interaction architectures. The simulation results support the hypothesis that one-way interaction between the systems occurs such that the explicit system "bootstraps" learning early on in the procedural system. Thus, the procedural system initially learns a suboptimal strategy employed by the explicit system and later refines its strategy. This bootstrapping could be from cortical-striatal projections that originate in premotor or motor regions of cortex, or possibly by the explicit system's control of motor responses through basal ganglia-mediated loops.

Improving Project Management Using Formal Models and Architectures

Science.gov (United States)

Kahn, Theodore; Sturken, Ian

2011-01-01

This talk discusses the advantages formal modeling and architecture brings to project management. These emerging technologies have both great potential and challenges for improving information available for decision-making. The presentation covers standards, tools and cultural issues needing consideration, and includes lessons learned from projects the presenters have worked on.

A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses.

Science.gov (United States)

Qiao, Ning; Mostafa, Hesham; Corradi, Federico; Osswald, Marc; Stefanini, Fabio; Sumislawska, Dora; Indiveri, Giacomo

2015-01-01

Implementing compact, low-power artificial neural processing systems with real-time on-line learning abilities is still an open challenge. In this paper we present a full-custom mixed-signal VLSI device with neuromorphic learning circuits that emulate the biophysics of real spiking neurons and dynamic synapses for exploring the properties of computational neuroscience models and for building brain-inspired computing systems. The proposed architecture allows the on-chip configuration of a wide range of network connectivities, including recurrent and deep networks, with short-term and long-term plasticity. The device comprises 128 K analog synapse and 256 neuron circuits with biologically plausible dynamics and bi-stable spike-based plasticity mechanisms that endow it with on-line learning abilities. In addition to the analog circuits, the device comprises also asynchronous digital logic circuits for setting different synapse and neuron properties as well as different network configurations. This prototype device, fabricated using a 180 nm 1P6M CMOS process, occupies an area of 51.4 mm(2), and consumes approximately 4 mW for typical experiments, for example involving attractor networks. Here we describe the details of the overall architecture and of the individual circuits and present experimental results that showcase its potential. By supporting a wide range of cortical-like computational modules comprising plasticity mechanisms, this device will enable the realization of intelligent autonomous systems with on-line learning capabilities.

An Architecture to Develop Multimodal Educative Applications with Chatbots

OpenAIRE

David Griol; Zoraida Callejas

2013-01-01

Animated characters are beginning to be used as pedagogical tools, as they have the power to capture students’ attention and foster their motivation for discovery and learning. However, in order for them to be widely employed and accepted as a learning resource, they must be easy to use and friendly. In this paper we present an architecture that facilitates building interactive pedagogical chatbots that can interact with students in natural language. Our proposal provides a modular and scalab...

Modeling Architectural Patterns Using Architectural Primitives

NARCIS (Netherlands)

Zdun, Uwe; Avgeriou, Paris

2005-01-01

Architectural patterns are a key point in architectural documentation. Regrettably, there is poor support for modeling architectural patterns, because the pattern elements are not directly matched by elements in modeling languages, and, at the same time, patterns support an inherent variability that

Multidimensional (OLAP) Analysis for Designing Dynamic Learning Strategy

Science.gov (United States)

Rozeva, A.; Deliyska, B.

2010-10-01

Learning strategy in an intelligent learning system is generally elaborated on the basis of assessment of the following factors: learner's time for reaction, content of the learning object, amount of learning material in a learning object, learning object specification, e-learning medium and performance control. Current work proposes architecture for dynamic learning strategy design by implementing multidimensional analysis model of learning factors. The analysis model concerns on-line analytical processing (OLAP) of learner's data structured as multidimensional cube. Main components of the architecture are analysis agent for performing the OLAP operations on learner data cube, adaptation generator and knowledge selection agent for performing adaptive navigation in the learning object repository. The output of the analysis agent is involved in dynamic elaboration of learning strategy that fits best to learners profile and behavior. As a result an adaptive learning path for individual learner and for learner groups is generated.

Deep learning methods for protein torsion angle prediction.

Science.gov (United States)

Li, Haiou; Hou, Jie; Adhikari, Badri; Lyu, Qiang; Cheng, Jianlin

2017-09-18

Deep learning is one of the most powerful machine learning methods that has achieved the state-of-the-art performance in many domains. Since deep learning was introduced to the field of bioinformatics in 2012, it has achieved success in a number of areas such as protein residue-residue contact prediction, secondary structure prediction, and fold recognition. In this work, we developed deep learning methods to improve the prediction of torsion (dihedral) angles of proteins. We design four different deep learning architectures to predict protein torsion angles. The architectures including deep neural network (DNN) and deep restricted Boltzmann machine (DRBN), deep recurrent neural network (DRNN) and deep recurrent restricted Boltzmann machine (DReRBM) since the protein torsion angle prediction is a sequence related problem. In addition to existing protein features, two new features (predicted residue contact number and the error distribution of torsion angles extracted from sequence fragments) are used as input to each of the four deep learning architectures to predict phi and psi angles of protein backbone. The mean absolute error (MAE) of phi and psi angles predicted by DRNN, DReRBM, DRBM and DNN is about 20-21° and 29-30° on an independent dataset. The MAE of phi angle is comparable to the existing methods, but the MAE of psi angle is 29°, 2° lower than the existing methods. On the latest CASP12 targets, our methods also achieved the performance better than or comparable to a state-of-the art method. Our experiment demonstrates that deep learning is a valuable method for predicting protein torsion angles. The deep recurrent network architecture performs slightly better than deep feed-forward architecture, and the predicted residue contact number and the error distribution of torsion angles extracted from sequence fragments are useful features for improving prediction accuracy.

Spatial olfactory learning facilitates long-term depression in the hippocampus.

Science.gov (United States)

André, Marion Agnès Emma; Manahan-Vaughan, Denise

2013-10-01

Recently, it has emerged that visual spatial exploration facilitates synaptic plasticity at different synapses within the trisynaptic network. Particularly striking is the finding that visuospatial contexts facilitate hippocampal long-term depression (LTD), raising the possibility that this form of plasticity may be important for memory formation. It is not known whether other sensory modalities elicit similar permissive effects on LTD. Here, we explored if spatial olfactory learning facilitates LTD in the hippocampus region of freely behaving rats. Patterned afferent stimulation of the Schaffer collaterals elicited short-term depression (STD) (<1 h) of evoked responses in the Stratum radiatum of the CA1 region. Coupling of this protocol with novel exploration of a spatial constellation of olfactory cues facilitated short-term depression into LTD that lasted for over 24 h. Facilitation of LTD did not occur when animals were re-exposed 1 week later to the same odors in the same spatial constellation. Evaluation of learning behavior revealed that 1 week after the 1st odor exposure, the animals remembered the odors and their relative positions. These data support that the hippocampus can use nonvisuospatial resources, and specifically can use spatial olfactory information, to facilitate LTD and to generate spatial representations. The data also support that a tight relationship exists between the processing of spatial contextual information and the expression of LTD in the hippocampus. Copyright © 2013 Wiley Periodicals, Inc.

Specifying structural constraints of architectural patterns in the ARCHERY language

International Nuclear Information System (INIS)

Sanchez, Alejandro; Barbosa, Luis S.; Riesco, Daniel

2015-01-01

ARCHERY is an architectural description language for modelling and reasoning about distributed, heterogeneous and dynamically reconfigurable systems in terms of architectural patterns. The language supports the specification of architectures and their reconfiguration. This paper introduces a language extension for precisely describing the structural design decisions that pattern instances must respect in their (re)configurations. The extension is a propositional modal logic with recursion and nominals referencing components, i.e., a hybrid µ-calculus. Its expressiveness allows specifying safety and liveness constraints, as well as paths and cycles over structures. Refinements of classic architectural patterns are specified

Specifying structural constraints of architectural patterns in the ARCHERY language

Energy Technology Data Exchange (ETDEWEB)

Sanchez, Alejandro [Departamento de Informática, Universidad Nacional de San Luis, Ejército de los Andes 950, D5700HHW San Luis (Argentina); HASLab INESC TEC and Universidade do Minho, Campus de Gualtar, 4710-057 Braga (Portugal); Barbosa, Luis S. [HASLab INESC TEC and Universidade do Minho, Campus de Gualtar, 4710-057 Braga (Portugal); Riesco, Daniel [Departamento de Informática, Universidad Nacional de San Luis, Ejército de los Andes 950, D5700HHW San Luis (Argentina)

2015-03-10

ARCHERY is an architectural description language for modelling and reasoning about distributed, heterogeneous and dynamically reconfigurable systems in terms of architectural patterns. The language supports the specification of architectures and their reconfiguration. This paper introduces a language extension for precisely describing the structural design decisions that pattern instances must respect in their (re)configurations. The extension is a propositional modal logic with recursion and nominals referencing components, i.e., a hybrid µ-calculus. Its expressiveness allows specifying safety and liveness constraints, as well as paths and cycles over structures. Refinements of classic architectural patterns are specified.

SAMS--a systems architecture for developing intelligent health information systems.

Science.gov (United States)

Yılmaz, Özgün; Erdur, Rıza Cenk; Türksever, Mustafa

2013-12-01

In this paper, SAMS, a novel health information system architecture for developing intelligent health information systems is proposed and also some strategies for developing such systems are discussed. The systems fulfilling this architecture will be able to store electronic health records of the patients using OWL ontologies, share patient records among different hospitals and provide physicians expertise to assist them in making decisions. The system is intelligent because it is rule-based, makes use of rule-based reasoning and has the ability to learn and evolve itself. The learning capability is provided by extracting rules from previously given decisions by the physicians and then adding the extracted rules to the system. The proposed system is novel and original in all of these aspects. As a case study, a system is implemented conforming to SAMS architecture for use by dentists in the dental domain. The use of the developed system is described with a scenario. For evaluation, the developed dental information system will be used and tried by a group of dentists. The development of this system proves the applicability of SAMS architecture. By getting decision support from a system derived from this architecture, the cognitive gap between experienced and inexperienced physicians can be compensated. Thus, patient satisfaction can be achieved, inexperienced physicians are supported in decision making and the personnel can improve their knowledge. A physician can diagnose a case, which he/she has never diagnosed before, using this system. With the help of this system, it will be possible to store general domain knowledge in this system and the personnel's need to medical guideline documents will be reduced.

Moving Forward with Lessons Learned About Long-term Radioactive Waste Management

Energy Technology Data Exchange (ETDEWEB)

Atherton, Elizabeth; Dalton, John [UK Nirex Ltd., Harwell (United Kingdom)

2006-09-15

A range of lessons have been identified from previous attempts to implement long term radioactive waste management policy in the UK and internationally. Many of these relate to the way the decision-making process is undertaken and the fact that there needs to be an open, transparent process that enables continuous stakeholder involvement. Nirex believes that using the SEA and EIA frameworks will help to incorporate the lessons learned into the future decision-making process relating to long-term radioactive waste management.

Moving Forward with Lessons Learned About Long-term Radioactive Waste Management

International Nuclear Information System (INIS)

Atherton, Elizabeth; Dalton, John

2006-01-01

A range of lessons have been identified from previous attempts to implement long term radioactive waste management policy in the UK and internationally. Many of these relate to the way the decision-making process is undertaken and the fact that there needs to be an open, transparent process that enables continuous stakeholder involvement. Nirex believes that using the SEA and EIA frameworks will help to incorporate the lessons learned into the future decision-making process relating to long-term radioactive waste management

Mediating human stem cell behaviour via defined fibrous architectures by melt electrospinning writing.

Science.gov (United States)

Eichholz, Kian F; Hoey, David A

2018-05-29

The architecture within which cells reside is key to mediating their specific functions within the body. In this study, we use melt electrospinning writing (MEW) to fabricate cell micro-environments with various fibrous architectures to study their effect on human stem cell behaviour. We designed, built and optimised a MEW apparatus and used it to fabricate four different platform designs of 10.4±2μm fibre diameter, with angles between fibres on adjacent layers of 90°, 45°, 10° and R (random). Mechanical characterisation was conducted via tensile testing, and human skeletal stem cells (hSSCs) were seeded to scaffolds to study the effect of architecture on cell morphology and mechanosensing (nuclear YAP). Cell morphology was significantly altered between groups, with cells on 90° scaffolds having a lower aspect ratio, greater spreading, greater cytoskeletal tension and nuclear YAP expression. Long term cell culture studies were then conducted to determine the differentiation potential of scaffolds in terms of alkaline phosphatase activity, collagen and mineral production. Across these studies, an increased cell spreading in 3-dimensions is seen with decreasing alignment of architecture correlated with enhanced osteogenesis. This study therefore highlights the critical role of fibrous architecture in regulating stem cell behaviour with implications for tissue engineering and disease progression. This is the first study which has investigated the effect of controlled fibrous architectures fabricated via melt electrospinning writing on cell behaviour and differentiation. After optimising the process and characterising scaffolds via SEM and tensile testing, cells were seeded to fibrous scaffolds with various micro-architectures and studied in terms of cell morphology. Nuclear YAP expression was further investigated as a marker of cell shape, cytoskeletal tension and differentiation potential. In agreement with these early markers, long term cell culture studies

Storyboard as a Representation of Urban Architectural Settings

Directory of Open Access Journals (Sweden)

Rahman Wahid Arif

2018-01-01

This paper aims to explore the potential of storyboarding practice in Basic Design 2 studio as part of architectural education at University of Indonesia. Adopting a narrative element, storyboard in this studio is used to read urban architectural settings and retell everyday life events; scene by scene, unfold in space and time, through different kinds of creative representations. By doing this exercise, the students ‘sense of spatial arrangement is developed by their understanding of position and orientation of objects settings. They also learned about how the time works; both in compressed or expanded ways. Decision-making in choosing the key events within the storyboard plays a role in making engaging visuals. In conclusion, storyboarding exercise to represent urban architectural settings will enhance the students ‘sensitivity of space, time, and how their ideas are being told by making a rich, multi-layers of narrative.

A deep learning framework for causal shape transformation.

Science.gov (United States)

Lore, Kin Gwn; Stoecklein, Daniel; Davies, Michael; Ganapathysubramanian, Baskar; Sarkar, Soumik

2018-02-01

Recurrent neural network (RNN) and Long Short-term Memory (LSTM) networks are the common go-to architecture for exploiting sequential information where the output is dependent on a sequence of inputs. However, in most considered problems, the dependencies typically lie in the latent domain which may not be suitable for applications involving the prediction of a step-wise transformation sequence that is dependent on the previous states only in the visible domain with a known terminal state. We propose a hybrid architecture of convolution neural networks (CNN) and stacked autoencoders (SAE) to learn a sequence of causal actions that nonlinearly transform an input visual pattern or distribution into a target visual pattern or distribution with the same support and demonstrated its practicality in a real-world engineering problem involving the physics of fluids. We solved a high-dimensional one-to-many inverse mapping problem concerning microfluidic flow sculpting, where the use of deep learning methods as an inverse map is very seldom explored. This work serves as a fruitful use-case to applied scientists and engineers in how deep learning can be beneficial as a solution for high-dimensional physical problems, and potentially opening doors to impactful advance in fields such as material sciences and medical biology where multistep topological transformations is a key element. Copyright © 2017 Elsevier Ltd. All rights reserved.

Learning, memory and long-term potentiation are altered in Nedd4 heterozygous mice.

Science.gov (United States)

Camera, Daria; Coleman, Harold A; Parkington, Helena C; Jenkins, Trisha A; Pow, David V; Boase, Natasha; Kumar, Sharad; Poronnik, Philip

2016-04-15

The consolidation of short-term memory into long-term memory involves changing protein level and activity for the synaptic plasticity required for long-term potentiation (LTP). AMPA receptor trafficking is a key determinant of LTP and recently ubiquitination by Nedd4 has been shown to play an important role via direct action on the GluA1 subunit, although the physiological relevance of these findings are yet to be determined. We therefore investigated learning and memory in Nedd4(+/-) mice that have a 50% reduction in levels of Nedd4. These mice showed decreased long-term spatial memory as evidenced by significant increases in the time taken to learn the location of and subsequently find a platform in the Morris water maze. In contrast, there were no significant differences between Nedd4(+/+) and Nedd4(+/-) mice in terms of short-term spatial memory in a Y-maze test. Nedd4(+/-) mice also displayed a significant reduction in post-synaptic LTP measured in hippocampal brain slices. Immunofluorescence of Nedd4 in the hippocampus confirmed its expression in hippocampal neurons of the CA1 region. These findings indicate that reducing Nedd4 protein by 50% significantly impairs LTP and long-term memory thereby demonstrating an important role for Nedd4 in these processes. Copyright © 2016 Elsevier B.V. All rights reserved.

A Multi-Agent Control Architecture for a Robotic Wheelchair

Directory of Open Access Journals (Sweden)

C. Galindo

2006-01-01

Full Text Available Assistant robots like robotic wheelchairs can perform an effective and valuable work in our daily lives. However, they eventually may need external help from humans in the robot environment (particularly, the driver in the case of a wheelchair to accomplish safely and efficiently some tricky tasks for the current technology, i.e. opening a locked door, traversing a crowded area, etc. This article proposes a control architecture for assistant robots designed under a multi-agent perspective that facilitates the participation of humans into the robotic system and improves the overall performance of the robot as well as its dependability. Within our design, agents have their own intentions and beliefs, have different abilities (that include algorithmic behaviours and human skills and also learn autonomously the most convenient method to carry out their actions through reinforcement learning. The proposed architecture is illustrated with a real assistant robot: a robotic wheelchair that provides mobility to impaired or elderly people.

A Re-configurable On-line Learning Spiking Neuromorphic Processor comprising 256 neurons and 128K synapses

Directory of Open Access Journals (Sweden)

Ning eQiao

2015-04-01

Full Text Available Implementing compact, low-power artificial neural processing systems with real-time on-line learning abilities is still an open challenge. In this paper we present a full-custom mixed-signal VLSI device with neuromorphic learning circuits that emulate the biophysics of real spiking neurons and dynamic synapses for exploring the properties of computational neuroscience models and for building brain-inspired computing systems. The proposed architecture allows the on-chip configuration of a wide range of network connectivities, including recurrent and deep networks with short-term and long-term plasticity. The device comprises 128 K analog synapse and 256 neuron circuits with biologically plausible dynamics and bi-stable spike-based plasticity mechanisms that endow it with on-line learning abilities. In addition to the analog circuits, the device comprises also asynchronous digital logic circuits for setting different synapse and neuron properties as well as different network configurations. This prototype device, fabricated using a 180 nm 1P6M CMOS process, occupies an area of 51.4 mm 2 , and consumes approximately 4 mW for typical experiments, for example involving attractor networks. Here we describe the details of the overall architecture and of the individual circuits and present experimental results that showcase its potential. By supporting a wide range of cortical-like computational modules comprising plasticity mechanisms, this device will enable the realization of intelligent autonomous systems with on-line learning capabilities.

Analysis student self efficacy in terms of using Discovery Learning model with SAVI approach

Science.gov (United States)

Sahara, Rifki; Mardiyana, S., Dewi Retno Sari

2017-12-01

Often students are unable to prove their academic achievement optimally according to their abilities. One reason is that they often feel unsure that they are capable of completing the tasks assigned to them. For students, such beliefs are necessary. The term belief has called self efficacy. Self efficacy is not something that has brought about by birth or something with permanent quality of an individual, but is the result of cognitive processes, the meaning one's self efficacy will be stimulated through learning activities. Self efficacy has developed and enhanced by a learning model that can stimulate students to foster confidence in their capabilities. One of them is by using Discovery Learning model with SAVI approach. Discovery Learning model with SAVI approach is one of learning models that involves the active participation of students in exploring and discovering their own knowledge and using it in problem solving by utilizing all the sensory devices they have. This naturalistic qualitative research aims to analyze student self efficacy in terms of use the Discovery Learning model with SAVI approach. The subjects of this study are 30 students focused on eight students who have high, medium, and low self efficacy obtained through purposive sampling technique. The data analysis of this research used three stages, that were reducing, displaying, and getting conclusion of the data. Based on the results of data analysis, it was concluded that the self efficacy appeared dominantly on the learning by using Discovery Learning model with SAVI approach is magnitude dimension.

Learning in Artificial Neural Systems

Science.gov (United States)

Matheus, Christopher J.; Hohensee, William E.

1987-01-01

This paper presents an overview and analysis of learning in Artificial Neural Systems (ANS's). It begins with a general introduction to neural networks and connectionist approaches to information processing. The basis for learning in ANS's is then described, and compared with classical Machine learning. While similar in some ways, ANS learning deviates from tradition in its dependence on the modification of individual weights to bring about changes in a knowledge representation distributed across connections in a network. This unique form of learning is analyzed from two aspects: the selection of an appropriate network architecture for representing the problem, and the choice of a suitable learning rule capable of reproducing the desired function within the given network. The various network architectures are classified, and then identified with explicit restrictions on the types of functions they are capable of representing. The learning rules, i.e., algorithms that specify how the network weights are modified, are similarly taxonomized, and where possible, the limitations inherent to specific classes of rules are outlined.

Effects of postnatal malnutrition and senescence on learning, long-term memory, and extinction in the rat.

Science.gov (United States)

Martínez, Yvonne; Díaz-Cintra, Sofía; León-Jacinto, Uriel; Aguilar-Vázquez, Azucena; Medina, Andrea C; Quirarte, Gina L; Prado-Alcalá, Roberto A

2009-10-12

There is a wealth of information indicating that the hippocampal formation is important for learning and memory consolidation. The hippocampus is very sensitive to ageing and developmentally stressful factors such as prenatal malnutrition, which produces anatomical alterations of hippocampal pyramidal cells as well as impaired spatial learning. On the other hand, there are no reports about differential effects of postnatal malnutrition, installed at birth and maintained all through life in young and aged rats, on learning and memory of active avoidance, a task with an important procedural component. We now report that learning and long-term retention of this task were impaired in young malnourished animals, but not in young control, senile control, and senile malnourished Sprague-Dawley rats; young and senile rats were 90 and 660 days of age, respectively. Extinction tests showed, however, that long-term memory of the malnourished groups and senile control animals is impaired as compared with the young control animals. These data strongly suggest that the learning and long-term retention impairments seen in the young animals were due to postnatal malnutrition; in the senile groups, this cognitive alteration did not occur, probably because ageing itself is an important factor that enables the brain to engage in compensatory mechanisms that reduce the effects of malnutrition. Nonetheless, ageing and malnutrition, conditions known to produce anatomic and functional hippocampal alterations, impede the maintenance of long-term memory, as seen during the extinction test.

Assessing Global Learning in Short-Term Study Abroad: Population, Environment, and Society in Shanghai

Science.gov (United States)

Core, Rachel S.

2017-01-01

This teaching note suggests that a short-term study abroad program embedded within a longer course can be a tool for enhancing global learning. The work uses the Association of American Colleges and Universities (AAC&U) Global Learning VALUE rubric to evaluate student work from a spring break seminar to Shanghai, China. The seminar was…

Cognitive Architecture for Direction of Attention Founded on Subliminal Memory Searches, Pseudorandom and Nonstop

OpenAIRE

Burger, J. R.

2008-01-01

By way of explaining how a brain works logically, human associative memory is modeled with logical and memory neurons, corresponding to standard digital circuits. The resulting cognitive architecture incorporates basic psychological elements such as short term and long term memory. Novel to the architecture are memory searches using cues chosen pseudorandomly from short term memory. Recalls alternated with sensory images, many tens per second, are analyzed subliminally as an ongoing process, ...

Communication System Architectures for Missions to Mars - A Preliminary Investigation

Science.gov (United States)

Nguyen, T.; Hinedi, S.; Martin, W.; Tsou, H.

1995-01-01

This paper presents various communication system architectures for Multiple-Link communications with Single Aperture (MULSA) ground station. The proposed architectures are capable of supporting a multiplicity of spacecraft that are within the beamwidth of a single ground station antenna simultaneously. Both short and long term proposals to address this scenario will be discussed. In addition, the paper also discusses the top-level system designs of the proposed architectures and attempts to identify the associated advantages and disadvantages for each system.

A Neurocomputational Theory of how Explicit Learning Bootstraps Early Procedural Learning

Directory of Open Access Journals (Sweden)

Erick Joseph Paul

2013-12-01

Full Text Available It is widely accepted that human learning and memory is mediated by multiple memory systems that are each best suited to different requirements and demands. Within the domain of categorization, at least two systems are thought to facilitate learning: an explicit (declarative system depending largely on the prefrontal cortex, and a procedural (non-declarative system depending on the basal ganglia. Substantial evidence suggests that each system is optimally suited to learn particular categorization tasks. However, it remains unknown precisely how these systems interact to produce optimal learning and behavior. In order to investigate this issue, the present research evaluated the progression of learning through simulation of categorization tasks using COVIS, a well-known model of human category learning that includes both explicit and procedural learning systems. Specifically, the model's parameter space was thoroughly explored in procedurally learned categorization tasks across a variety of conditions and architectures to identify plausible interaction architectures. The simulation results support the hypothesis that one-way interaction between the systems occurs such that the explicit system "bootstraps" learning early on in the procedural system. Thus, the procedural system initially learns a suboptimal strategy employed by the explicit system and later refines its strategy. This bootstrapping could be from cortical-striatal projections that originate in premotor or motor regions of cortex, or possibly by the explicit system’s control of motor responses through basal ganglia-mediated loops.

Dual-tDCS Enhances Online Motor Skill Learning and Long-Term Retention in Chronic Stroke Patients

Science.gov (United States)

Lefebvre, S.; Laloux, P.; Peeters, A.; Desfontaines, P.; Jamart, J.; Vandermeeren, Y.

2013-01-01

Background: Since motor learning is a key component for stroke recovery, enhancing motor skill learning is a crucial challenge for neurorehabilitation. Transcranial direct current stimulation (tDCS) is a promising approach for improving motor learning. The aim of this trial was to test the hypothesis that dual-tDCS applied bilaterally over the primary motor cortices (M1) improves online motor skill learning with the paretic hand and its long-term retention. Methods: Eighteen chronic stroke patients participated in a randomized, cross-over, placebo-controlled, double bind trial. During separate sessions, dual-tDCS or sham dual-tDCS was applied over 30 min while stroke patients learned a complex visuomotor skill with the paretic hand: using a computer mouse to move a pointer along a complex circuit as quickly and accurately as possible. A learning index involving the evolution of the speed/accuracy trade-off was calculated. Performance of the motor skill was measured at baseline, after intervention and 1 week later. Results: After sham dual-tDCS, eight patients showed performance worsening. In contrast, dual-tDCS enhanced the amount and speed of online motor skill learning compared to sham (p dual-tDCS (n = 10) than after sham (n = 3). More importantly, 1 week later, online enhancement under dual-tDCS had translated into superior long-term retention (+44%) compared to sham (+4%). The improvement generalized to a new untrained circuit and to digital dexterity. Conclusion: A single-session of dual-tDCS, applied while stroke patients trained with the paretic hand significantly enhanced online motor skill learning both quantitatively and qualitatively, leading to successful long-term retention and generalization. The combination of motor skill learning and dual-tDCS is promising for improving post-stroke neurorehabilitation. PMID:23316151

How can we adapt education programmes to the architecture of the future?

DEFF Research Database (Denmark)

Knudstrup, Mary-Ann

2010-01-01

teaching methods at the Department of Architecture & Design at Aalborg University that are tailored to dealing with current societal/technological, environmental and sustainability issues. In terms of both research and teaching, Aalborg University utilises an interdisciplinary approach to a considerable...... extent. At Architecture & Design at Aalborg University, we are working with environmentally sustainable architecture. We use a method called the Integrated Design Process, which is developed for this purpose and which is an interdisciplinary approach to designing environmentally sustainable architecture...

Learning to practice: Practicing to learn

OpenAIRE

McBride, F.

2005-01-01

There is clearly a lack of consensus regarding the terminology used to describe the APStraciJ eXp 0jtatjon of knowledge in an organisational context. The theory of knowledge exploitation is bound up in various concepts, the most familiar being Organisational Learning, Knowledge Management and the Learning Organisation. This report is an enquiry into the applicability of these concepts to the design led architectural practice. Implicit within this study is a suggestion that the firm can be suc...

Theories of minimalism in architecture: Post scriptum

Directory of Open Access Journals (Sweden)

Stevanović Vladimir

2012-01-01

Full Text Available Owing to the period of intensive development in the last decade of XX century, architectural phenomenon called Minimalism in Architecture was remembered as the Style of the Nineties, which is characterized, morphologically speaking, by simplicity and formal reduction. Simultaneously with its development in practice, on a theoretical level several dominant interpretative models were able to establish themselves. The new millennium and time distance bring new problems; therefore this paper represents a discussion on specific theorization related to Minimalism in Architecture that can bear the designation of post scriptum, because their development starts after the constitutional period of architectural minimalist discourse. In XXI century theories, the problem of definition of minimalism remains important topic, approached by theorists through resolving on the axis: Modernism - Minimal Art - Postmodernism - Minimalism in Architecture. With regard to this, analyzed texts can be categorized in two groups: 1 texts of affirmative nature and historical-associative approach in which minimalism is identified with anything that is simple and reduced, in an idealizing manner, relied mostly on the existing hypotheses; 2 critically oriented texts, in which authors reconsider adequacy of the very term 'minimalism' in the context of architecture and take a metacritical attitude towards previous texts.

Architecture with landscape methods : Doctoral thesis proposal and SANAA Rolex Learning Center Lausanne Sample Field Trip

NARCIS (Netherlands)

Jauslin, D.

2010-01-01

Contemporary architecture has been strongly influenced by the concept of landscape in recent times. A new mindset evolves that changes the core of the architectural discipline: the organization and composition of architectural space as a landscape. The scope of this thesis is to investigate and

Framework for pedagogical learning analytics

OpenAIRE

Heilala, Ville

2018-01-01

Learning analytics is an emergent technological practice and a multidisciplinary scientific discipline, which goal is to facilitate effective learning and knowledge of learning. In this design science research, I combine knowledge discovery process, a concept of pedagogical knowledge, ethics of learning analytics and microservice architecture. The result is a framework for pedagogical learning analytics. The framework is applied and evaluated in the context of agency analytics. The framework ...

The Pedagogic Architecture of MOOC: A Research Project on Educational Courses in Spanish

Science.gov (United States)

Fernández-Díaz, Elia; Rodríguez-Hoyos, Carlos; Salvador, Adelina Calvo

2017-01-01

This study has been carried out within the context of the ECO European Project (E-learning, Communication Open-Data: Massive Mobile, Ubiquitous, and Open Learning) which is being financed by the European Union over four years (2014-17). It analyses the pedagogic architecture of MOOC on pedagogic/educational subjects in Spanish over one academic…

Architecture for autonomy

Science.gov (United States)

Broten, Gregory S.; Monckton, Simon P.; Collier, Jack; Giesbrecht, Jared

2006-05-01

In 2002 Defence R&D Canada changed research direction from pure tele-operated land vehicles to general autonomy for land, air, and sea craft. The unique constraints of the military environment coupled with the complexity of autonomous systems drove DRDC to carefully plan a research and development infrastructure that would provide state of the art tools without restricting research scope. DRDC's long term objectives for its autonomy program address disparate unmanned ground vehicle (UGV), unattended ground sensor (UGS), air (UAV), and subsea and surface (UUV and USV) vehicles operating together with minimal human oversight. Individually, these systems will range in complexity from simple reconnaissance mini-UAVs streaming video to sophisticated autonomous combat UGVs exploiting embedded and remote sensing. Together, these systems can provide low risk, long endurance, battlefield services assuming they can communicate and cooperate with manned and unmanned systems. A key enabling technology for this new research is a software architecture capable of meeting both DRDC's current and future requirements. DRDC built upon recent advances in the computing science field while developing its software architecture know as the Architecture for Autonomy (AFA). Although a well established practice in computing science, frameworks have only recently entered common use by unmanned vehicles. For industry and government, the complexity, cost, and time to re-implement stable systems often exceeds the perceived benefits of adopting a modern software infrastructure. Thus, most persevere with legacy software, adapting and modifying software when and wherever possible or necessary -- adopting strategic software frameworks only when no justifiable legacy exists. Conversely, academic programs with short one or two year projects frequently exploit strategic software frameworks but with little enduring impact. The open-source movement radically changes this picture. Academic frameworks

La arquitectura cultural. / Cultural architecture.

Directory of Open Access Journals (Sweden)

Lobos, Jorge

2004-12-01

Full Text Available Este artículo releva la Arquitectura Cultural, que es plural y diversa en términos estéticos y conceptuales. Sugiere la apertura a otras dinámicas de comprensión de lo arquitectónico, a otras lógicas de construcción de las ciudades. Para aclarar el concepto se expone un breve ejemplo práctico./This article points out the "cultural architecture", which is plural and diverse in concept and aesthetic terms. It suggests the opening to other dinamics of comprehention of the architectural issue and the building of cities. The article presents a brief empirical example that clarifies the conceptual approach.

Freight data architecture business process, logical data model, and physical data model.

Science.gov (United States)

2014-09-01

This document summarizes the study teams efforts to establish data-sharing partnerships : and relay the lessons learned. In addition, it provides information on a prototype freight data : architecture and supporting description and specifications ...

Machine learning methods for planning

CERN Document Server

Minton, Steven

1993-01-01

Machine Learning Methods for Planning provides information pertinent to learning methods for planning and scheduling. This book covers a wide variety of learning methods and learning architectures, including analogical, case-based, decision-tree, explanation-based, and reinforcement learning.Organized into 15 chapters, this book begins with an overview of planning and scheduling and describes some representative learning systems that have been developed for these tasks. This text then describes a learning apprentice for calendar management. Other chapters consider the problem of temporal credi

Using Local Architecture as an Historical Resource: Some Teaching Strategies

Science.gov (United States)

Taylor, Catherine; And Others

1978-01-01

Architecture can be a topic in high school community studies. A program in Boulder, Colorado, is described as a case study. Learning activities include walking tours, library and city archive research, and slide shows. Tips for teachers and an annotated bibliography are included. (Author/DB)

Architectural communication: Intra and extra activity of architecture

Directory of Open Access Journals (Sweden)

Stamatović-Vučković Slavica

2013-01-01

Full Text Available Apart from a brief overview of architectural communication viewed from the standpoint of theory of information and semiotics, this paper contains two forms of dualistically viewed architectural communication. The duality denotation/connotation (”primary” and ”secondary” architectural communication is one of semiotic postulates taken from Umberto Eco who viewed architectural communication as a semiotic phenomenon. In addition, architectural communication can be viewed as an intra and an extra activity of architecture where the overall activity of the edifice performed through its spatial manifestation may be understood as an act of communication. In that respect, the activity may be perceived as the ”behavior of architecture”, which corresponds to Lefebvre’s production of space.

Methods and Software Architecture for Activity Recognition from Position Data

DEFF Research Database (Denmark)

Godsk, Torben

This thesis describes my studies on the subject of recognizing cow activities from satellite based position data. The studies comprise methods and software architecture for activity recognition from position data, applied to cow activity recognition. The development of methods and software....... The results of these calculations are applied to a given standard machine learning algorithm, and the activity, performed by the cow as the measurements were recorded, is recognized. The software architecture integrates these methods and ensures flexible activity recognition. For instance, it is flexible...... in relation to the use of different sensors modalities and/or within different domains. In addition, the methods and their integration with the software architecture ensures both robust and accurate activity recognition. Utilized, it enables me to classify the five activities robustly and with high success...

Deep learning in bioinformatics.

Science.gov (United States)

Min, Seonwoo; Lee, Byunghan; Yoon, Sungroh

2017-09-01

In the era of big data, transformation of biomedical big data into valuable knowledge has been one of the most important challenges in bioinformatics. Deep learning has advanced rapidly since the early 2000s and now demonstrates state-of-the-art performance in various fields. Accordingly, application of deep learning in bioinformatics to gain insight from data has been emphasized in both academia and industry. Here, we review deep learning in bioinformatics, presenting examples of current research. To provide a useful and comprehensive perspective, we categorize research both by the bioinformatics domain (i.e. omics, biomedical imaging, biomedical signal processing) and deep learning architecture (i.e. deep neural networks, convolutional neural networks, recurrent neural networks, emergent architectures) and present brief descriptions of each study. Additionally, we discuss theoretical and practical issues of deep learning in bioinformatics and suggest future research directions. We believe that this review will provide valuable insights and serve as a starting point for researchers to apply deep learning approaches in their bioinformatics studies. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Low power design of wireless endoscopy compression/communication architecture

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Zitouni Abdelkrim

2018-05-01

Full Text Available A wireless endoscopy capsule represents an efficient device interesting on the examination of digestive diseases. Many performance criteria’s (silicon area, dissipated power, image quality, computational time, etc. need to be deeply studied.In this paper, our interest is the optimization of the indicated criteria. The proposed methodology is based on exploring the advantages of the DCT/DWT transforms by combining them into single architecture. For arithmetic operations, the MCLA technique is used. This architecture integrates also a CABAC entropy coder that supports all binarization schemes. AMBA/I2C architecture is developed for assuring optimized communication.The comparisons of the proposed architecture with the most popular methods explained in related works show efficient results in terms dissipated power, hardware cost, and computation speed. Keywords: Wireless endoscopy capsule, DCT/DWT image compression, CABAC entropy coder, AMBA/I2C multi-bus architecture

Digital Architecture Planning Model

International Nuclear Information System (INIS)

Oxstrand, Johanna Helene; Al Rashdan, Ahmad Yahya Mohammad; Bly, Aaron Douglas; Rice, Brandon Charles; Fitzgerald, Kirk; Wilson, Keith Leon

2016-01-01

As part of the U.S. Department of Energy's Light Water Reactor Sustainability Program, the Digital Architecture (DA) Project focuses on providing a model that nuclear utilities can refer to when planning deployment of advanced technologies. The digital architecture planning model (DAPM) is the methodology for mapping power plant operational and support activities into a DA that unifies all data sources needed by the utilities to operate their plants. The DA is defined as a collection of information technology capabilities needed to support and integrate a wide spectrum of real-time digital capabilities for performance improvements of nuclear power plants. DA can be thought of as integration of the separate instrumentation and control and information systems already in place in nuclear power plants, which are brought together for the purpose of creating new levels of automation in plant work activities. A major objective in DAPM development was to survey all key areas that needed to be reviewed in order for a utility to make knowledgeable decisions regarding needs and plans to implement a DA at the plant. The development was done in two steps. First, researchers surveyed the nuclear industry in order to learn their near-term plans for adopting new advanced capabilities and implementing a network (i.e., wireless and wire) infrastructure throughout the plant, including the power block. Secondly, a literature review covering regulatory documents, industry standards, and technical research reports and articles was conducted. The objective of the review was to identify key areas to be covered by the DAPM, which included the following: 1. The need for a DA and its benefits to the plant 2. Resources required to implement the DA 3. Challenges that need to be addressed and resolved to implement the DA 4. Roles and responsibilities of the DA implementation plan. The DAPM was developed based on results from the survey and the literature review. Model development

Digital Architecture Planning Model

Energy Technology Data Exchange (ETDEWEB)

Oxstrand, Johanna Helene [Idaho National Lab. (INL), Idaho Falls, ID (United States). Light Water Reactor Sustainability Program (LWRS); Al Rashdan, Ahmad Yahya Mohammad [Idaho National Lab. (INL), Idaho Falls, ID (United States). Light Water Reactor Sustainability Program (LWRS); Bly, Aaron Douglas [Idaho National Lab. (INL), Idaho Falls, ID (United States). Light Water Reactor Sustainability Program (LWRS); Rice, Brandon Charles [Idaho National Lab. (INL), Idaho Falls, ID (United States). Light Water Reactor Sustainability Program (LWRS); Fitzgerald, Kirk [Idaho National Lab. (INL), Idaho Falls, ID (United States). Light Water Reactor Sustainability Program (LWRS); Wilson, Keith Leon [Idaho National Lab. (INL), Idaho Falls, ID (United States). Light Water Reactor Sustainability Program (LWRS)

2016-03-01

As part of the U.S. Department of Energy’s Light Water Reactor Sustainability Program, the Digital Architecture (DA) Project focuses on providing a model that nuclear utilities can refer to when planning deployment of advanced technologies. The digital architecture planning model (DAPM) is the methodology for mapping power plant operational and support activities into a DA that unifies all data sources needed by the utilities to operate their plants. The DA is defined as a collection of information technology capabilities needed to support and integrate a wide spectrum of real-time digital capabilities for performance improvements of nuclear power plants. DA can be thought of as integration of the separate instrumentation and control and information systems already in place in nuclear power plants, which are brought together for the purpose of creating new levels of automation in plant work activities. A major objective in DAPM development was to survey all key areas that needed to be reviewed in order for a utility to make knowledgeable decisions regarding needs and plans to implement a DA at the plant. The development was done in two steps. First, researchers surveyed the nuclear industry in order to learn their near-term plans for adopting new advanced capabilities and implementing a network (i.e., wireless and wire) infrastructure throughout the plant, including the power block. Secondly, a literature review covering regulatory documents, industry standards, and technical research reports and articles was conducted. The objective of the review was to identify key areas to be covered by the DAPM, which included the following: 1. The need for a DA and its benefits to the plant 2. Resources required to implement the DA 3. Challenges that need to be addressed and resolved to implement the DA 4. Roles and responsibilities of the DA implementation plan. The DAPM was developed based on results from the survey and the literature review. Model development, including

A Learning Architecture: How School Leaders Can Design for Learning Social Justice

Science.gov (United States)

Scanlan, Martin

2013-01-01

Purpose: The field of socially just educational leadership focuses on reducing inequities within schools. The purpose of this article is to illustrate how one strand of social learning theory, communities of practice, can serve as a powerful tool for analyzing learning within a school ostensibly pursuing social justice. The author employs a core…

The Distinction of Ornament and Decoration in Architecture

Directory of Open Access Journals (Sweden)

Fatemeh Ahani

2017-06-01

Full Text Available Ornament has been present throughout the recorded history, revealing human's aspirations, reflections and imaginations. Correspondingly, the discussion of ornament has almost uninterruptedly been a major topic for architectural discourses; one which has led to the publication of several significant texts in which ornamental practices has been addressed from a variety of perspectives. An investigation into the key architectural texts however, reveals that the absence of a certain definition of ornament and its functions in architecture as well as the interchangeable use of the terms 'decoration' and ornament as synonyms, have always been a serious obstacle to reach a clear conception of ornament nature . In this regard, the present paper attempted to distinguish between 'ornament' and 'decoration' based on a comparative analysis of the scholars’ accounts and the way the terms were employed in the architectural texts. Results indicated that the aforementioned concepts can be distinguished by means of seven criteria including components, connection, reference source, role, field of application and reference mode. According to the most referred criteria, ornament is an essential part of architecture which creates a firm bonding with its carrier and often fulfills functions more than aesthetic one .It is mostly made up of transformed motifs and evokes natural forces that originate deeply beyond or within the body of building. Decoration on the other hand, is a pleasing arrangement of real things; a suggestion of the decorous which does not have a permanent connection with its carrier. It is also purely representational, due to its reference to external matters such as mythology, religion, history, or cultural practice.

Deep Neural Architectures for Mapping Scalp to Intracranial EEG.

Science.gov (United States)

Antoniades, Andreas; Spyrou, Loukianos; Martin-Lopez, David; Valentin, Antonio; Alarcon, Gonzalo; Sanei, Saeid; Took, Clive Cheong

2018-03-19

Data is often plagued by noise which encumbers machine learning of clinically useful biomarkers and electroencephalogram (EEG) data is no exemption. Intracranial EEG (iEEG) data enhances the training of deep learning models of the human brain, yet is often prohibitive due to the invasive recording process. A more convenient alternative is to record brain activity using scalp electrodes. However, the inherent noise associated with scalp EEG data often impedes the learning process of neural models, achieving substandard performance. Here, an ensemble deep learning architecture for nonlinearly mapping scalp to iEEG data is proposed. The proposed architecture exploits the information from a limited number of joint scalp-intracranial recording to establish a novel methodology for detecting the epileptic discharges from the sEEG of a general population of subjects. Statistical tests and qualitative analysis have revealed that the generated pseudo-intracranial data are highly correlated with the true intracranial data. This facilitated the detection of IEDs from the scalp recordings where such waveforms are not often visible. As a real-world clinical application, these pseudo-iEEGs are then used by a convolutional neural network for the automated classification of intracranial epileptic discharges (IEDs) and non-IED of trials in the context of epilepsy analysis. Although the aim of this work was to circumvent the unavailability of iEEG and the limitations of sEEG, we have achieved a classification accuracy of 68% an increase of 6% over the previously proposed linear regression mapping.

Architectural freedom and industrialized architecture

DEFF Research Database (Denmark)

Vestergaard, Inge

2012-01-01

to explain that architecture can be thought as a complex and diverse design through customization, telling exactly the revitalized storey about the change to a contemporary sustainable and better performing expression in direct relation to the given context. Through the last couple of years we have...... proportions, to organize the process on site choosing either one room wall components or several rooms wall components – either horizontally or vertically. Combined with the seamless joint the playing with these possibilities the new industrialized architecture can deliver variations in choice of solutions...... for retrofit design. If we add the question of the installations e.g. ventilation to this systematic thinking of building technique we get a diverse and functional architecture, thereby creating a new and clearer story telling about new and smart system based thinking behind architectural expression....

Architectural freedom and industrialized architecture

DEFF Research Database (Denmark)

Vestergaard, Inge

2012-01-01

to explain that architecture can be thought as a complex and diverse design through customization, telling exactly the revitalized storey about the change to a contemporary sustainable and better performing expression in direct relation to the given context. Through the last couple of years we have...... expression in the specific housing area. It is the aim of this article to expand the different design strategies which architects can use – to give the individual project attitudes and designs with architectural quality. Through the customized component production it is possible to choose different...... for retrofit design. If we add the question of the installations e.g. ventilation to this systematic thinking of building technique we get a diverse and functional architecture, thereby creating a new and clearer story telling about new and smart system based thinking behind architectural expression....

Architectural freedom and industrialised architecture

DEFF Research Database (Denmark)

Vestergaard, Inge

2012-01-01

Architectural freedom and industrialized architecture. Inge Vestergaard, Associate Professor, Cand. Arch. Aarhus School of Architecture, Denmark Noerreport 20, 8000 Aarhus C Telephone +45 89 36 0000 E-mai l inge.vestergaard@aarch.dk Based on the repetitive architecture from the "building boom" 1960...... customization, telling exactly the revitalized storey about the change to a contemporary sustainable and better performed expression in direct relation to the given context. Through the last couple of years we have in Denmark been focusing a more sustainable and low energy building technique, which also include...... to the building physic problems a new industrialized period has started based on light weight elements basically made of wooden structures, faced with different suitable materials meant for individual expression for the specific housing area. It is the purpose of this article to widen up the different design...

Learning Motivation and Achievements

Institute of Scientific and Technical Information of China (English)

冯泽野

2016-01-01

It is known to all that motivation is one of the most important elements in EFL learning.This study analyzes the type of English learning motivations and learning achievements within non-English majors’ students (Bilingual program in Highway School and Architecture) in Chang’an University, who has been considered English as the foreign language. This thesis intends to put forward certain strategies in promoting foreign language teaching.

Music Technology Competencies for Education: A Proposal for a Pedagogical Architecture for Distance Learning

Science.gov (United States)

Rosas, Fátima Weber; Rocha Machado, Leticia; Behar, Patricia Alejandra

2016-01-01

This article proposes a pedagogical architecture (PA) focused on the development of competencies for music technology in education. This PA used free Web 3.0 technologies, mainly those related to production and musical composition. The pedagogical architecture is geared for teachers and those pursing a teaching degree, working in distance…

Associative learning versus fear habituation as predictors of long-term extinction retention.

Science.gov (United States)

Brown, Lily A; LeBeau, Richard T; Chat, Ka Yi; Craske, Michelle G

2017-06-01

Violation of unconditioned stimulus (US) expectancy during extinction training may enhance associative learning and result in improved long-term extinction retention compared to within-session habituation. This experiment examines variation in US expectancy (i.e., expectancy violation) as a predictor of long-term extinction retention. It also examines within-session habituation of fear-potentiated startle (electromyography, EMG) and fear of conditioned stimuli (CS) throughout extinction training as predictors of extinction retention. Participants (n = 63) underwent fear conditioning, extinction and retention and provided continuous ratings of US expectancy and EMG, as well as CS fear ratings before and after each phase. Variation in US expectancy throughout extinction and habituation of EMG and fear was entered into a regression as predictors of retention and reinstatement of levels of expectancy and fear. Greater variation in US expectancy throughout extinction training was significantly predictive of enhanced extinction performance measured at retention test, although not after reinstatement test. Slope of EMG and CS fear during extinction did not predict retention of extinction. Within-session habituation of EMG and self-reported fear is not sufficient for long-term retention of extinction learning, and models emphasizing expectation violation may result in enhanced outcomes.

Internationalisation and Multiculturalism in CELA-Particpating Landscape Architecture International Education Programmes

Directory of Open Access Journals (Sweden)

Robert Hewitt

2004-12-01

Full Text Available The paper addresses the need for research in landscape architecture international education by offering a selective analysis of three surveys of department heads in CELA-participating landscape architecture programmes. The primary data addressed in the paper is a set of follow-up focused interviews conducted in 2004. These interviews expand on the authors' previous surveys concerning international education activities in CELA-participating schools, which were conducted in 2002 and 2003, and a similar survey by Malcomb Cairns and Ann Hoover, conducted in 2003. The selected data from the surveys and interviews provide information from the reporting landscape architecture programmes on their history, and approaches to internationalisation and multiculturalism. Analysis of the data indicates that: (1 Most landscape architecture international education programmes began during the 1980s and 1990s, and the majority of programmes reported significant change in their activities within the last decade. (2 A significant number of programmes described their approach to international education in terms of the relationship between the region and the global or international. (3 A significant number of programmes described their international education activities in terms of opportunities for, and benefits of, exposure to cultures other than their own, and in terms of relationships between multiculturalism and internationalisation.

Combining Digital Archives Content with Serious Game Approach to Create a Gamified Learning Experience

Directory of Open Access Journals (Sweden)

D.-T. Shih

2015-08-01

Full Text Available This paper presents an interdisciplinary to develop content-aware application that combines game with learning on specific categories of digital archives. The employment of content-oriented game enhances the gamification and efficacy of learning in culture education on architectures and history of Hsinchu County, Taiwan. The gamified form of the application is used as a backbone to support and provide a strong stimulation to engage users in learning art and culture, therefore this research is implementing under the goal of “The Digital ARt/ARchitecture Project”. The purpose of the abovementioned project is to develop interactive serious game approaches and applications for Hsinchu County historical archives and architectures. Therefore, we present two applications, “3D AR for Hukou Old ” and “Hsinchu County History Museum AR Tour” which are in form of augmented reality (AR. By using AR imaging techniques to blend real object and virtual content, the users can immerse in virtual exhibitions of Hukou Old Street and Hsinchu County History Museum, and to learn in ubiquitous computing environment. This paper proposes a content system that includes tools and materials used to create representations of digitized cultural archives including historical artifacts, documents, customs, religion, and architectures. The Digital ARt / ARchitecture Project is based on the concept of serious game and consists of three aspects: content creation, target management, and AR presentation. The project focuses on developing a proper approach to serve as an interactive game, and to offer a learning opportunity for appreciating historic architectures by playing AR cards. Furthermore, the card game aims to provide multi-faceted understanding and learning experience to help user learning through 3D objects, hyperlinked web data, and the manipulation of learning mode, and then effectively developing their learning levels on cultural and historical archives in

Combining Digital Archives Content with Serious Game Approach to Create a Gamified Learning Experience

Science.gov (United States)

Shih, D.-T.; Lin, C. L.; Tseng, C.-Y.

2015-08-01

This paper presents an interdisciplinary to develop content-aware application that combines game with learning on specific categories of digital archives. The employment of content-oriented game enhances the gamification and efficacy of learning in culture education on architectures and history of Hsinchu County, Taiwan. The gamified form of the application is used as a backbone to support and provide a strong stimulation to engage users in learning art and culture, therefore this research is implementing under the goal of "The Digital ARt/ARchitecture Project". The purpose of the abovementioned project is to develop interactive serious game approaches and applications for Hsinchu County historical archives and architectures. Therefore, we present two applications, "3D AR for Hukou Old " and "Hsinchu County History Museum AR Tour" which are in form of augmented reality (AR). By using AR imaging techniques to blend real object and virtual content, the users can immerse in virtual exhibitions of Hukou Old Street and Hsinchu County History Museum, and to learn in ubiquitous computing environment. This paper proposes a content system that includes tools and materials used to create representations of digitized cultural archives including historical artifacts, documents, customs, religion, and architectures. The Digital ARt / ARchitecture Project is based on the concept of serious game and consists of three aspects: content creation, target management, and AR presentation. The project focuses on developing a proper approach to serve as an interactive game, and to offer a learning opportunity for appreciating historic architectures by playing AR cards. Furthermore, the card game aims to provide multi-faceted understanding and learning experience to help user learning through 3D objects, hyperlinked web data, and the manipulation of learning mode, and then effectively developing their learning levels on cultural and historical archives in Hsinchu County.

Accelerated long-term forgetting in aging and intra-sleep awakenings

Directory of Open Access Journals (Sweden)

Alison eMary

2013-10-01

Full Text Available The architecture of sleep and the functional neuroanatomical networks subtending memory consolidation processes are both modified with aging, possibly leading to accelerated forgetting in long-term memory. We investigated associative learning and declarative memory consolidation processes in 16 young (18–30 years and 16 older (65–75 years healthy adults. Performance was tested using a cued recall procedure at the end of learning (immediate recall, and 30 minutes and 7 days later. A delayed recognition test was also administered on day 7. Daily sleep diaries were completed during the entire experiment. Results revealed a similar percentage of correct responses at immediate and 30-minute recall in young and older participants. However, recall was significantly decreased 7 days later, with an increased forgetting in older participants. Additionally, intra-sleep awakenings were more frequent in older participants than young adults during the 7 nights, and were negatively correlated with delayed recall performance on day 7 in the older group. Altogether, our results suggest a decline in verbal declarative memory consolidation processes with aging, eventually leading to accelerated long-term forgetting indicating that increased sleep fragmentation due to more frequent intra-sleep awakenings in older participants contribute to the reported age-related decline in long-term memory retrieval. Our results highlight the sensitivity of long-term forgetting measures to evidence consolidation deficits in healthy aging.

Enterprise architecture evaluation using architecture framework and UML stereotypes

Directory of Open Access Journals (Sweden)

Narges Shahi

2014-08-01

Full Text Available There is an increasing need for enterprise architecture in numerous organizations with complicated systems with various processes. Support for information technology, organizational units whose elements maintain complex relationships increases. Enterprise architecture is so effective that its non-use in organizations is regarded as their institutional inability in efficient information technology management. The enterprise architecture process generally consists of three phases including strategic programing of information technology, enterprise architecture programing and enterprise architecture implementation. Each phase must be implemented sequentially and one single flaw in each phase may result in a flaw in the whole architecture and, consequently, in extra costs and time. If a model is mapped for the issue and then it is evaluated before enterprise architecture implementation in the second phase, the possible flaws in implementation process are prevented. In this study, the processes of enterprise architecture are illustrated through UML diagrams, and the architecture is evaluated in programming phase through transforming the UML diagrams to Petri nets. The results indicate that the high costs of the implementation phase will be reduced.

Learning and living in the "New office"

DEFF Research Database (Denmark)

Bjerrum, Eva; Bødker, Susanne

2003-01-01

'Knowledge sharing' and 'learning' are terms often connected with the 'New office', the "modern" open office space. Work in these settings becomes more and more distributed, mobile and characterised by temporary constellations of collaborations of collaborators. The workers are mobile and work...... whenever they are. Based on nine case studies, this paper describes how the 'New office', intended to support learning and peripheral participation often gets directly counterproductive to this purpose. It lacks places to dwell and return to, places to meet coincidentally, shared artefacts...... and possibilities of leaving traces of current and past activities. These problems are due to a combination of problematic architecture and insufficient technology, and not least to insufficient design processes, where thee actual needs of the people in the organisation are rarely considered, and where people...

Short-term and long-term memory deficits in handedness learning in mice with absent corpus callosum and reduced hippocampal commissure.

Science.gov (United States)

Ribeiro, Andre S; Eales, Brenda A; Biddle, Fred G

2013-05-15

The corpus callosum (CC) and hippocampal commissure (HC) are major interhemispheric connections whose role in brain function and behaviors is fascinating and contentious. Paw preference of laboratory mice is a genetically regulated, adaptive behavior, continuously shaped by training and learning. We studied variation with training in paw-preference in mice of the 9XCA/WahBid ('9XCA') recombinant inbred strain, selected for complete absence of the CC and severely reduced HC. We measured sequences of paw choices in 9XCA mice in two training sessions in unbiased test chambers, separated by one-week. We compared them with sequences of paw choices in model non-learner mice that have random unbiased paw choices and with those of C57BL/6JBid ('C57BL/6J') mice that have normal interhemispheric connections and learn a paw preference. Positive autocorrelation between successive paw choices during each session and change in paw-preference bias between sessions indicate that 9XCA mice have weak, but not null, learning skills. We tested the effect of the forebrain commissural defect on paw-preference learning with the independent BTBR T+ tf/J ('BTBR') mouse strain that has a genetically identical, non-complementing commissural trait. BTBR has weak short-term and long-term memory skills, identical to 9XCA. The results provide strong evidence that CC and HC contribute in memory function and formation of paw-preference biases. Copyright © 2013 Elsevier B.V. All rights reserved.

Software architecture 2

CERN Document Server

Oussalah, Mourad Chabanne

2014-01-01

Over the past 20 years, software architectures have significantly contributed to the development of complex and distributed systems. Nowadays, it is recognized that one of the critical problems in the design and development of any complex software system is its architecture, i.e. the organization of its architectural elements. Software Architecture presents the software architecture paradigms based on objects, components, services and models, as well as the various architectural techniques and methods, the analysis of architectural qualities, models of representation of architectural templa

Lightweight enterprise architectures

CERN Document Server

Theuerkorn, Fenix

2004-01-01

STATE OF ARCHITECTUREArchitectural ChaosRelation of Technology and Architecture The Many Faces of Architecture The Scope of Enterprise Architecture The Need for Enterprise ArchitectureThe History of Architecture The Current Environment Standardization Barriers The Need for Lightweight Architecture in the EnterpriseThe Cost of TechnologyThe Benefits of Enterprise Architecture The Domains of Architecture The Gap between Business and ITWhere Does LEA Fit? LEA's FrameworkFrameworks, Methodologies, and Approaches The Framework of LEATypes of Methodologies Types of ApproachesActual System Environmen

Software architecture 1

CERN Document Server

Oussalah , Mourad Chabane

2014-01-01

Over the past 20 years, software architectures have significantly contributed to the development of complex and distributed systems. Nowadays, it is recognized that one of the critical problems in the design and development of any complex software system is its architecture, i.e. the organization of its architectural elements. Software Architecture presents the software architecture paradigms based on objects, components, services and models, as well as the various architectural techniques and methods, the analysis of architectural qualities, models of representation of architectural template

Depletion of serotonin selectively impairs short-term memory without affecting long-term memory in odor learning in the terrestrial slug Limax valentianus.

Science.gov (United States)

Shirahata, Takaaki; Tsunoda, Makoto; Santa, Tomofumi; Kirino, Yutaka; Watanabe, Satoshi

2006-01-01

The terrestrial slug Limax is able to acquire short-term and long-term memories during aversive odor-taste associative learning. We investigated the effect of the selective serotonergic neurotoxin 5,7-dihydroxytryptamine (5,7-DHT) on memory. Behavioral studies indicated that 5,7-DHT impaired short-term memory but not long-term memory. HPLC (high-performance liquid chromatography) analysis revealed that 5,7-DHT significantly reduced serotonin content in the central nervous system. The present study suggests that acquisition, retention, and/or retrieval of short-term memory involves serotonin, and neither acquisition nor retrieval of long-term memory requires serotonin at a level as high as that required for short-term memory.

The Diagrammatic Inquiry of Architectural Media

Directory of Open Access Journals (Sweden)

Peter Bertram

2018-04-01

Full Text Available According to the philosopher C.S. Peirce the diagram is a system of interrelated parts that operates in a manner similar to another system of interrelated parts. It is a mental map of relations. It drives an open-ended inquiry on a given problem. In architectural discourse a diagram is often defined as a particular form of drawing. It is a simplified image and/or it uses a notation system. In this context, the latter is termed a digital diagram. However, an architectural medium has material properties that influence both the making and the translation of the drawing. It is both a singular artefact and a set of instructions for actions undertaken in another space than that of the medium. This article introduces the notion of an immanent diagram to discuss how the composition of a drawing is distributed. The proposition is that the architectural diagrammatic inquiry operates in the struggle between digital and analogue diagrams. I develop the argument using a traditional architectural drawing as a starting point. In the last section, I discuss a contemporary computer based design practice in which drawings and prototype modelling constitute a heterogeneous technological environment.

Indigenous architecture as a context-oriented architecture, a look at ...

African Journals Online (AJOL)

What has become problematic as the achievement of international style and globalization of architecture during the time has been the purely technological look at architecture, and the architecture without belonging to a place. In recent decades, the topic of sustainable architecture and reconsidering indigenous architecture ...

Learning from health information exchange technical architecture and implementation in seven beacon communities.

Science.gov (United States)

McCarthy, Douglas B; Propp, Karen; Cohen, Alexander; Sabharwal, Raj; Schachter, Abigail A; Rein, Alison L

2014-01-01

As health care providers adopt and make "meaningful use" of health information technology (health IT), communities and delivery systems must set up the infrastructure to facilitate health information exchange (HIE) between providers and numerous other stakeholders who have a role in supporting health and care. By facilitating better communication and coordination between providers, HIE has the potential to improve clinical decision-making and continuity of care, while reducing unnecessary use of services. When implemented as part of a broader strategy for health care delivery system and payment reform, HIE capability also can enable the use of analytic tools needed for population health management, patient engagement in care, and continuous learning and improvement. The diverse experiences of seven communities that participated in the three-year federal Beacon Community Program offer practical insight into factors influencing the technical architecture of exchange infrastructure and its role in supporting improved care, reduced cost, and a healthier population. The case studies also document challenges faced by the communities, such as significant time and resources required to harmonize variations in the interpretation of data standards. Findings indicate that their progress developing community-based HIE strategies, while driven by local needs and objectives, is also influenced by broader legal, policy, and market conditions.

Learning from Health Information Exchange Technical Architecture and Implementation in Seven Beacon Communities

Science.gov (United States)

McCarthy, Douglas B.; Propp, Karen; Cohen, Alexander; Sabharwal, Raj; Schachter, Abigail A.; Rein, Alison L.

2014-01-01

As health care providers adopt and make “meaningful use” of health information technology (health IT), communities and delivery systems must set up the infrastructure to facilitate health information exchange (HIE) between providers and numerous other stakeholders who have a role in supporting health and care. By facilitating better communication and coordination between providers, HIE has the potential to improve clinical decision-making and continuity of care, while reducing unnecessary use of services. When implemented as part of a broader strategy for health care delivery system and payment reform, HIE capability also can enable the use of analytic tools needed for population health management, patient engagement in care, and continuous learning and improvement. The diverse experiences of seven communities that participated in the three-year federal Beacon Community Program offer practical insight into factors influencing the technical architecture of exchange infrastructure and its role in supporting improved care, reduced cost, and a healthier population. The case studies also document challenges faced by the communities, such as significant time and resources required to harmonize variations in the interpretation of data standards. Findings indicate that their progress developing community-based HIE strategies, while driven by local needs and objectives, is also influenced by broader legal, policy, and market conditions. PMID:25848591

A Systems Approach to Developing an Affordable Space Ground Transportation Architecture using a Commonality Approach

Science.gov (United States)

Garcia, Jerry L.; McCleskey, Carey M.; Bollo, Timothy R.; Rhodes, Russel E.; Robinson, John W.

2012-01-01

This paper presents a structured approach for achieving a compatible Ground System (GS) and Flight System (FS) architecture that is affordable, productive and sustainable. This paper is an extension of the paper titled "Approach to an Affordable and Productive Space Transportation System" by McCleskey et al. This paper integrates systems engineering concepts and operationally efficient propulsion system concepts into a structured framework for achieving GS and FS compatibility in the mid-term and long-term time frames. It also presents a functional and quantitative relationship for assessing system compatibility called the Architecture Complexity Index (ACI). This paper: (1) focuses on systems engineering fundamentals as it applies to improving GS and FS compatibility; (2) establishes mid-term and long-term spaceport goals; (3) presents an overview of transitioning a spaceport to an airport model; (4) establishes a framework for defining a ground system architecture; (5) presents the ACI concept; (6) demonstrates the approach by presenting a comparison of different GS architectures; and (7) presents a discussion on the benefits of using this approach with a focus on commonality.

Unified Deep Learning Architecture for Modeling Biology Sequence.

Science.gov (United States)

Wu, Hongjie; Cao, Chengyuan; Xia, Xiaoyan; Lu, Qiang

2017-10-09

Prediction of the spatial structure or function of biological macromolecules based on their sequence remains an important challenge in bioinformatics. When modeling biological sequences using traditional sequencing models, characteristics, such as long-range interactions between basic units, the complicated and variable output of labeled structures, and the variable length of biological sequences, usually lead to different solutions on a case-by-case basis. This study proposed the use of bidirectional recurrent neural networks based on long short-term memory or a gated recurrent unit to capture long-range interactions by designing the optional reshape operator to adapt to the diversity of the output labels and implementing a training algorithm to support the training of sequence models capable of processing variable-length sequences. Additionally, the merge and pooling operators enhanced the ability to capture short-range interactions between basic units of biological sequences. The proposed deep-learning model and its training algorithm might be capable of solving currently known biological sequence-modeling problems through the use of a unified framework. We validated our model on one of the most difficult biological sequence-modeling problems currently known, with our results indicating the ability of the model to obtain predictions of protein residue interactions that exceeded the accuracy of current popular approaches by 10% based on multiple benchmarks.

Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors.

Science.gov (United States)

Li, Frédéric; Shirahama, Kimiaki; Nisar, Muhammad Adeel; Köping, Lukas; Grzegorzek, Marcin

2018-02-24

Getting a good feature representation of data is paramount for Human Activity Recognition (HAR) using wearable sensors. An increasing number of feature learning approaches-in particular deep-learning based-have been proposed to extract an effective feature representation by analyzing large amounts of data. However, getting an objective interpretation of their performances faces two problems: the lack of a baseline evaluation setup, which makes a strict comparison between them impossible, and the insufficiency of implementation details, which can hinder their use. In this paper, we attempt to address both issues: we firstly propose an evaluation framework allowing a rigorous comparison of features extracted by different methods, and use it to carry out extensive experiments with state-of-the-art feature learning approaches. We then provide all the codes and implementation details to make both the reproduction of the results reported in this paper and the re-use of our framework easier for other researchers. Our studies carried out on the OPPORTUNITY and UniMiB-SHAR datasets highlight the effectiveness of hybrid deep-learning architectures involving convolutional and Long-Short-Term-Memory (LSTM) to obtain features characterising both short- and long-term time dependencies in the data.

CisLunar Habitat Internal Architecture Design Criteria

Science.gov (United States)

Jones, R.; Kennedy, K.; Howard, R.; Whitmore, M.; Martin, C.; Garate, J.

2017-01-01

Lunar Habitat Internal Architecture Study is to become a forcing function to establish a common understanding of CisLunar Phase-1 Habitation Internal Architecture design criteria, processes, and tools. The scope of the CisLunar Habitat Internal Architecture study is to design, develop, demonstrate, and evaluate a Phase-1 CisLunar Habitat common module internal architecture based on design criteria agreed to by NASA, the International Partners, and Commercial Exploration teams. This task is to define the CisLunar Phase-1 Internal Architecture Government Reference Design, assist NASA in becoming a "smart buyer" for Phase-1 Habitat Concepts, and ultimately to derive standards and requirements from the Internal Architecture Design Process. The first step was to define a Habitat Internal Architecture Design Criteria and create a structured philosophy to be used by design teams as a filter by which critical aspects of consideration would be identified for the purpose of organizing and utilizing interior spaces. With design criteria in place, the team will develop a series of iterative internal architecture concept designs which will be assessed by means of an evaluation criteria and process. These assessments will successively drive and refine the design, leading to the combination and down-selection of design concepts. A single refined reference design configuration will be developed into in a medium-to-high fidelity mockup. A multi-day human-in-the-loop mission test will fully evaluate the reference design and validate its configuration. Lessons learned from the design and evaluation will enable the team to identify appropriate standards for Phase-1 CisLunar Habitat Internal Architecture and will enable NASA to develop derived requirements in support of maturing CisLunar Habitation capabilities. This paper will describe the criteria definition process, workshop event, and resulting CisLunar Phase-1 Habitat Internal Architecture Design Criteria.

Architecture in the Islamic Civilization: Muslim Building or Islamic Architecture

OpenAIRE

Yassin, Ayat Ali; Utaberta, Dr. Nangkula

2012-01-01

The main problem of the theory in the arena of islamic architecture is affected by some of its Westernthoughts, and stereotyping the islamic architecture according to Western thoughts; this leads to the breakdownof the foundations in the islamic architecture. It is a myth that islamic architecture is subjected to theinfluence from foreign architectures. This paper will highlight the dialectical concept of islamic architecture ormuslim buildings and the areas of recognition in islamic architec...

A Reference Architecture for a Cloud-Based Tools as a Service Workspace

DEFF Research Database (Denmark)

Chauhan, Aufeef; Babar, Muhammad Ali; Sheng, Quan Z.

2015-01-01

Software Architecture (SA) plays a critical role in developing and evolving cloud-based applications. We present a Reference Architecture (RA) for designing Cloud-based Tools as a service work SPACE (TSPACE) - a platform for provisioning chain of tools following the Software as a Service (SaaS...... evaluate the RA in terms of completeness and feasibility. Our proposed RA can provide valuable guidance and insights for designing and implementing concrete software architectures of TSPACE....

Field Tested Service Oriented Robotic Architecture: Case Study

Science.gov (United States)

Flueckiger, Lorenzo; Utz, Hanz

2012-01-01

This paper presents the lessons learned from six years of experiments with planetary rover prototypes running the Service Oriented Robotic Architecture (SORA) developed by the Intelligent Robotics Group (IRG) at NASA Ames Research Center. SORA relies on proven software methods and technologies applied to the robotic world. Based on a Service Oriented Architecture and robust middleware, SORA extends its reach beyond the on-board robot controller and supports the full suite of software tools used during mission scenarios from ground control to remote robotic sites. SORA has been field tested in numerous scenarios of robotic lunar and planetary exploration. The results of these high fidelity experiments are illustrated through concrete examples that have shown the benefits of using SORA as well as its limitations.

Integrating Appreciative Inquiry (AI into architectural pedagogy: An assessment experiment of three retrofitted buildings in the city of Glasgow

Directory of Open Access Journals (Sweden)

Ashraf M. Salama

2017-06-01

Full Text Available Recently there has been a growing trend to encourage learning outside the classrooms, so-called ‘universities without walls.’ To this end, mechanisms for learning beyond the boundaries of classroom settings can provide enhanced and challenging learning opportunities. This paper introduces Appreciative Inquiry (AI as a mechanism that integrates various forms of inquiry into learning. AI is operationalized as a Walking Tour assessment project which was introduced as part of the class Cultural and Behavioural Factors in Architecture and Urbanism delivered at the Department of Architecture, University of Strathclyde – Glasgow where thirty-two Master of Architecture students were enrolled. The Walking Tour assessment involved the exploration of 6 factors that delineate key design characteristics in three retrofitted buildings in Glasgow: Theatre Royal, Reid Building, and The Lighthouse. Working in groups, students assessed factors that included context, massing, interface, wayfinding, socio-spatial, and comfort. Findings reveal that students were able to focus on critical issues that go beyond those adopted in traditional teaching practices while accentuating the value of introducing AI and utilizing the built environment as an educational medium. Conclusions are drawn to emphasize the need for structured learning experiences that enable making judgments about building qualities while effectively interrogating various characteristics.