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37th international MATADOR 2012 conference

作者： Debode, Abayomi B. O. Nassehi, Aydin Newnes, Linda B. Newman, Stephen T. Department of Mechanical Engineering University of Bath Bath BA2 7AY United Kingdom

ISBN: (纸本)9781447144793

Abstract. Manufacturers depend on cost estimation system, at the early stage of product development, to supports engineers decision on design alternatives toward reducing final product cost. Lack of detail information about a product and its manufacture to generate fast and accurate cost estimate is a critical challenge in integrated manufacturing environment today. Most cost estimation systems relies on expert opinion and nominal information about the product to generate cost estimate of questionable accuraccy. High level integration of cost estimation system with manufacturer' other computer aided systems for seamless exchange of actual design and process information about a product can potentially improve the accuraccy of cost estimate. However, each computer aided system, including current integrated cost estimation systems, uses vendorspecific programming for unidirectional communication with other manufacturere systems. this hinders seamless flow of actual information about the product that is require for fast and accurate cost estimation during product development. Implementation of a vendor-neutral communication language will facilitate bidirectional sharing of quality information for interoperability and accurate cost estimate. In this paper the evolving ISO 14649 standard (STEP-NC) is implement as a vendor-neutral mediun for high level integration of estimation system with other computer aided systems for fast and accurate cost estimation. © Springer-Verlag London 2013.

关键词： Product development

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A Deep Learning-Based Pipeline for Multi-Class Motor Imagery Problems with Small Portion of Labeled Datasets

A Deep Learning-Based Pipeline for Multi-Class Motor Imagery...

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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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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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OMake: Designing a scalable build process

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9th international conference on Fundamental Approaches to Software engineering

作者： Hickey, J Nogin, A CALTECH Dept Comp Sci Pasadena CA 91125 USA

ISBN: (纸本)3540330933

Modern software codebases are frequently large, heterogeneous, and constantly evolving. the languages and tools for software construction, including code builds and configuration management, have not been well-studied. Developers are often faced with using 1) older tools (like make) that do not scale well, 2) custom build scripts that tend to be fragile, or 3) proprietary tools that are not portable. In this paper, we study the build issue as a domain-specific programming problem. there are a number of challenges that are unique to the domain of build systems. We argue that a central goal is compositionality-that is, it should be possible to specify a software component in isolation and add it to a project with an assurance that the global specification will not be compromised. the next important goal is to cover the full range of complexity-from allowing very concise specifications for the most common cases to providing the flexibility to encompass projects with unusual needs. Dependency analysis, which is a prerequisite for incremental builds, must be automated in order to achieve compositionality an reliability;it also spans the full range of complexity. We develop a language for describing software builds and configuration. We also develop an implementation (called Omake), that addresses all the above challenges efficiently and portably. It also provides a number of features that help streamline the edit/compile development cycle. OMake is freely available under the GNU General Public License, and is actively being used in several large projects.

关键词： Computer aided software engineering

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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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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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Research on the Application of Digital Twin Model Calculation and Updating Methods in Mining engineering 4th

Research on the Application of Digital Twin Model Calculatio...

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4th international conference on Advanced Intelligent Technologies, ICAIT 2023

作者： Qiao, Haozhe Xinjiang University Xinjiang Urumqi830049 China

ISBN: (纸本)9789819732098

Coal mining and iron ore mining are the main forms of current mining engineering, and the mining of these two minerals is greatly affected by the geological conditions of the mine and the surrounding environment. therefore, it is necessary to conduct a comprehensive analysis of all influencing factors of mining to assist in mining engineering decision-making, and currently there is a lack of corresponding technical methods to meet this demand. In response to this issue, this article proposes the construction of a digital twin model oriented toward the environment of mines and surrounding areas, providing a complete description of the panoramic appearance of mines to meet the needs of mining engineering construction and production. Utilize various sensors such as drones and cameras to obtain full data of the mine and its surrounding areas, and define standardized collection frequencies to ensure data consistency and real-time in the digital twin model. then, using algorithmic logic such as big data analysis and artificial intelligence, the multi-source data in the model is fused and analyzed to meet the production and construction management needs of mining engineering. By utilizing the logical algorithm analysis results in the digital twin model of mines, it is possible to comprehensively analyze the cross-sectional view, component analysis, and risk warning of mines, obtain auxiliary decision-making basis, and reduce safety risks in mining engineering, thereby improving economic benefits. Finally, a digital twin model for mining engineering is designed and implemented through computer programming, providing auxiliary decision-making tool support for the development and operation of mining business. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Iron ores

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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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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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