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Iranian conference of Biomedical engineering (ICBME)

作者： Neda Abdollahpour Mohammadreza Yazdchi Zahra Baharlouei Department of Biomedical Engineering Ragheb Isfahani Institute of Higher Education Isfahan Iran Medical Image and Signal Processing Research Center School of Advanced Technologies in Medicine Isfahan University of Medical Sciences Isfahan Iran

In this article, a new framework is proposed to address multi-class Motor Imagery Brain-Computer Interface (MIBCI) problems containing a small portion of labeled datasets. In this framework, the combination of Independent component Analysis (ICA), multi-class Common Spatial Pattern (CSP), and a functional Application programming Interface (API) model assumes a pivotal role. In the feature extraction stage of the work, a concatenated altered signal affected by spatial weights is proposed for each trial in three frequency ranges. this distribution of features can both provide suitable feature maps for augmentation, preparing data for the deep learning analysis, and underscore distinguishable features of MI classes. In the classification stage, spatial and temporal features are dominated by using the effective combination of a one-dimensional Convolutional Neural Network (CNN) and a two-staged Bidirectional Long Short-Term Memory (BLSTM) in three branches containing different distributions of frequency. Given that, the model simultaneously learns past-to-future and future-to-past patterns in two stages. the experimental result on datasets 2a BCI-Competition IV illustrates that the proposed method can be liable, practical and more competitive than the other popular methods pointed out in this paper. All in all, the proposed framework can alleviate the issue of small portions of labeled datasets in MI problems.

关键词： Deep learning Biological system modeling Pipelines Independent component analysis Feature extraction Brain modeling Brain-computer interfaces

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Generating stylistically consistent product form designs using interactive evolutionary parametric shape grammars

Generating stylistically consistent product form designs usi...

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international conference on Computer-Aided Industrial Design and Conceptual Design, CAIDCD

作者： Ho Cheong Lee Ming Xi Tang Design Technology Research Centre The Hong Kong Polytechnic University Hong Kong Hong Kong China

Interactive grammar based design systems (IGBDS) are capable of generating large numbers of alternative designs. Prior to the application of IGBDS, a set of rules should be defined based on the theoretical theories and practical experiences in designing the objects, or by analysing the existing sets of objects. However, due to the time constraints in developing theoretical theories, gaining the practical skills of experts is of qualitative in nature and stylistically inconsistent designs to be analysed, it is difficult to systematically derive a set of shape grammar rules in generating designs which fulfils specific requirements. To address this problem, this paper presents an IGBDS enhanced by evolutionary computing to evolve a set of grammar rules for product form design. In this research, the forms of a product are analysed to derive shape features in the form of shape grammar (SG) rules. the rules are then encoded as the code scripts of a genetic algorithm (GA) representation in order to generate new shape grammar rules. the parameters in GA representation are modified by genetic programming (GP) which is regulated by control planning strategies named "GP-GA-SG". the "GP-GA-SG" control planning strategy first defines ways on how the control variables in GP should modify the variables in GA representation. the "GP-GA-SG" control planning strategy then defines ways on how the control variables in GA should modify the variables in SG representation. the SG rules modified by the GA variables define a new combination of shape features for alternative designs. In this way, traditional shape grammar is extended to an interactive context in which generative and evolutionary computing methods are combined. Both product component design as well as product configuration are supported in this framework. In this paper, we describe how this framework is formulated and discuss its potentials in supporting product design, with initial examples showing how the system is intended

关键词： Product design Genetic programming Strategic planning Shape control Algorithm design and analysis Genetic algorithms Time factors Constraint theory Color Costs

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Workflow deployment in ICENI II

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6th international conference on Computational Science (ICCS 2006)

作者： McGough, A. Stephen Lee, William Darlington, John Univ London Imperial Coll Sci Technol & Med Dept Comp London Esci Ctr London SW7 2AZ England

ISBN: (纸本)3540343830

the Imperial College e-Science Networked Infrastructure (ICENI) has been developed by the London e-Science Centre for over four years. ICENI has prototyped many novel ideas for providing an end to end Grid middleware. this has included: service-oriented architecture, component programming model, retaining and using meta-data collected throughout the life-cycle of an application, and scheduling algorithms which are aware of workflow and performance data. In this paper we describe the workflow pipeline and deployment process of ICENI II. this allows the user to specify their workflow at an abstract level which is fed through the pipeline in order to successfully deploy it over the Grid. the tool sets, which make up the stages of the ICENI II pipeline, are designed to be composable in an a-la-carte fashion. thus allowing Grid developers to select only those components which are relevant for their work. When these tool sets are composed together they form the higher level services required to make the Grid useful to the end user.

关键词： Software engineering

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Building blocks for secure multiparty federated wireless sensor networks

Building blocks for secure multiparty federated wireless sen...

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international Wireless Communications and Mobile Computing conference, IWCMC

作者： Christophe Huygens Nelson Matthys Jef Maerien Wouter Joosen Danny Hughes Computer Science Department K.U. Leuven Heverlee Belgium Computer Science and Software Engineering Department Xi'an Jiaotong-Liverpool University Suzhou China

Wireless Sensor Networks are increasingly being deployed in enterprise scenarios involving multiple actors. the capabilities of sensors must be shared across many applications and sensors must cooperate across federations spanning administrative domains. this paper describes our efforts towards constructing federated wireless sensor systems. It leverages and details key building blocks designed to achieve federation and sharing: a component model with distributed event-based communication, a policy-driven control infrastructure for resources and communications, a deployment architecture and a mechanism to establish and propagate trust into the wireless sensor network. the building blocks focus on the specific and necessary in-network extensions, such as extensions to sensor run-time, middleware and programming abstractions, rather than the backend challenges. the combination of the building blocks creates a security middleware that supports multiparty federated sensor networks. An estimate of the total cost of federation in terms of footprint is provided and first experiences of application of the middleware are reported upon.

关键词： Wireless sensor networks Middleware Security Runtime Logic gates Engines Peer to peer computing

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Composition of Dynamic Analysis Aspects

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ACM SIGPLAN NOTICES 2011年第2期46卷 113-122页

作者： Tanter, Eric Moret, Philippe Binder, Walter Ansaloni, Danilo Univ Chile Comp Sci Dept DCC PLEIAD Lab Santiago Chile Univ Lugano Fac Informat Lugano Switzerland

Aspect-oriented programming provides a convenient high-level model to define several kinds of dynamic analyses, in particular thanks to recent advances in exhaustive weaving in core libraries. Casting dynamic analyses as aspects allows the use of a single weaving infrastructure to apply different analyses to the same base program, simultaneously. However, even if dynamic analysis aspects are mutually independent, their mere presence perturbates the observations of others: this is due to the fact that aspectual computation is potentially visible to all aspects. Because current aspect composition approaches do not address this kind of computational interference, combining different analysis aspects yields at best unpredictable results. It is also impossible to flexibly combine various analyses, for instance to analyze an analysis aspect. In this paper we show how the notion of execution levels makes it possible to effectively address these composition issues. In order to realize this approach, we explore the practical and efficient integration of execution levels in a mainstream aspect language, AspectJ. We report on a case study of composing two out-of-the-box analysis aspects in a variety of ways, highlighting the benefits of the approach.

关键词： Algorithms Languages Measurement Aspect-oriented programming execution levels aspect composition dynamic program analysis AspectJ

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JEqualityGen: Generating Equality and Hashing Methods

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ACM SIGPLAN NOTICES 2011年第2期46卷 177-186页

作者： Grech, Neville Rathke, Julian Fischer, Bernd Univ Southampton ECS Southampton SO9 5NH Hants England

Manually implementing equals (for object comparisons) and hashCode (for object hashing) methods in large software projects is tedious and error-prone. this is due to many special cases, such as field shadowing, comparison between different types, or cyclic object graphs. Here, we present JEqualityGen, a source code generator that automatically derives implementations of these methods. JEqualityGen proceeds in two states: it first uses source code reflection in MetaAspectJ to generate aspects that contain the method implementations, before it uses weaving on the bytecode level to insert these into the target application. JEqualityGen generates not only correct, but efficient source code that on a typical large-scale Java application exhibits a performance improvement of more than two orders of magnitude in the equality operations generated, compared to an existing system based on runtime reflection. JEqualityGen achieves this by generating runtime profiling code that collects data. this enables it to generate optimised method implementations in a second round.

关键词： Algorithms Performance theory meta-programming equality hashing code generation Java Scala AspectJ AOP

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VAEL: bridging variational autoencoders and probabilistic logic programming 22

VAEL: bridging variational autoencoders and probabilistic lo...

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Proceedings of the 36th international conference on Neural Information Processing Systems

作者： Eleonora Misino Giuseppe Marra Emanuele Sansone Department of Computer Science and Engineering University of Bologna Italy Department of Computer Science KU Leuven Belgium

ISBN: (纸本)9781713871088

We present VAEL, a neuro-symbolic generative model integrating variational autoencoders (VAE) with the reasoning capabilities of probabilistic logic (L) programming. Besides standard latent subsymbolic variables, our model exploits a probabilistic logic program to define a further structured representation, which is used for logical reasoning. the entire process is end-to-end differentiable. Once trained, VAEL can solve new unseen generation tasks by (i) leveraging the previously acquired knowledge encoded in the neural component and (ii) exploiting new logical programs on the structured latent space. Our experiments provide support on the benefits of this neuro-symbolic integration both in terms of task generalization and data efficiency. To the best of our knowledge, this work is the first to propose a general-purpose end-to-end framework integrating probabilistic logic programming into a deep generative model.

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Development of a Wireless Semi-Autonomous Gas Contaminant Detection Robot Using Raspberry Pi 13

Development of a Wireless Semi-Autonomous Gas Contaminant De...

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2021 IEEE 13th international conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2021

作者： Meris, Paolo Rafael V. Manuel, Mark Christian E. Agustin, Gian Marko C. Bernal, Chris Dane B. Cruz, Jennifer C. Dela Tud, Roderick C. Mapúa University School of Mechanical and Manufacturing Engineering 2 Manila Philippines Mapúa University School of Electrical Electronics and Computer Engineering Manila Philippines

ISBN: (纸本)9781665401678

this paper presents the development of a robot that can be controlled semi-autonomously and has the capability to detect toxic and combustible gases. the purpose of this research is to develop a semi-autonomous robot that can detect gases that are harmful to human workers. the robot is designed to be able to function properly with little human intervention. It has the ability to detect specified types of gases inside a confined space and move on its own to cover the specified operating area. the study is composed of component designing, programming, calibration, development of the user interface, fabrication, initial gas concentration test, mobility tests, and actual tests. the design of this robot is an improvement of the previous model. the mobility and semi-autonomous function of the robot is programmed using Raspberry Pi microcomputer and the sensors are programmed using the Arduino microcontroller. the gases that the robot can detect are alcohol (C2H6O), benzene (C6H6), hydrogen (H2), carbon monoxide (CO), LPG, and methane (CH4). the sensors that were used are MQ3 for alcohol and benzene, MQ7 for hydrogen and carbon monoxide, and MQ9 for methane and LPG. the results of the tests showed that the robot can operate semi-autonomously and in an omnidirectional manner easily. the actual testing procedures were done inside a confined parking area, printing shop, and LPG storage area. © 2021 IEEE.

关键词： Carbon monoxide

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Automatic Metal Waste Separator System In Malaysia

Automatic Metal Waste Separator System In Malaysia

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international conference on Computer and Communication engineering, ICCCE

作者： Sazali Mahat Siti Hajar Yusoff Syasya Azra Zaini Nur Shahida Midi Sarah Yasmin Mohamad Department of Electrical & Computer Engineering International Islamic University Malaysia Jalan Gombak Kuala Lumpur Malaysia

Metal recycling is an issue that needs attention and should be practiced by people as it has many advantages to human and Earth. In order to get a metal from Earth, the process called mining are needed where it can harm our natural resources due to depletion of the area to be mined. If the process is not controlled, most of the areas on Earth will have huge excavation holes. So, people should be responsible to prevent this from happening to preserve the environment in a good quality by recycling the metal material. By metal recycling, it can save an energy and resources as it can reduce the demand for raw materials, hence maintain the natural resources for the future. the proposed automatic metal waste separation system is intended to ease the people to separate the waste material. Besides, it will make the metal recycling industry work easier because the metal waste is already isolated at garbage collection side. the purpose of the project is to design a system to separate the metal recyclable household waste automatically and record the data waste collected. there are total of four detectors used to separate the non-metal, steel, copper and aluminum metal waste. the average time used to complete metal separation process by using the proposed prototype is 14.5 seconds. this project includes a mechanical part, programming part and an electronic design. the system will be programmed using Arduino Mega as a microcontroller to control all the electronic component in the system.

关键词： Containers Copper Steel Aluminum Image color analysis Servomotors

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A generative Middleware Specialization Process for Distributed Real-Time and Embedded Systems

A Generative Middleware Specialization Process for Distribut...

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international Symposium on Object-Oriented Real-Time Distributed Computing

作者： Akshay Dabholkar Aniruddha Gokhale Department of EECS Vanderbilt University Nashville TN USA

General-purpose middleware must often be specialized for resource-constrained, real-time and embedded systems to improve their response-times, reliability, memory footprint, and even power consumption. Software engineering techniques, such as aspect-oriented programming (AOP), feature-oriented programming (FOP), and reflection make the specialization task simpler, albeit still requiring the system developer to manually identify the system invariants, and sources of performance and memory footprint bottlenecks that determine the required specializations. Specialization reuse is also hampered due to a lack of common taxonomy to document the recurring specializations. this paper presents the GeMS (generative Middleware Specialization) framework to address these challenges. We present results of applying GeMS to a Distributed Real-time and Embedded (DRE) system case study that depict a 21-35% reduction in footprint, and a 3̃6% improvement in performance while simultaneously alleviating 9̃7% of the developer efforts in specializing middleware.

关键词： Middleware Context Context modeling Manuals Optimization Algorithm design and analysis Real time systems

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