Object Analysis

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Sascha Konrad - One of the best experts on this subject based on the ideXlab platform.

  • Assurance patterns for distributed real-time embedded systems
    Proceedings - 27th International Conference on Software Engineering ICSE05, 2005
    Co-Authors: Sascha Konrad
    Abstract:

    Recently, there has been a significant increase in demand for distributed real-time embedded systems (DREs). As the demand for DREs has increased, so has the complexity of these systems, thus prompting the need for more rigorous, repeatable, and cost-effective development techniques. We propose to make several contributions in the rigorous development of DREs: Object Analysis patterns, specification patterns, and an integrated modeling and Analysis approach for the formal Analysis of DRE system models. These contributions are presented collectively as assurance patterns that emphasize the Analysis phase of DREs, with the intent of preventing and detecting errors in the early stages of development prior to coding and fabrication. Industrial projects play a major role in validating our techniques.

  • Object Analysis patterns for embedded systems
    IEEE Transactions on Software Engineering, 2004
    Co-Authors: Sascha Konrad, B.h.c. Cheng, L.a. Campbell
    Abstract:

    Some of the most challenging tasks in building a software system are capturing, refining, and analyzing requirements. How well these tasks are performed significantly impacts the quality of the developed software system. The difficulty of these tasks is greatly exacerbated for the software of embedded systems as these systems are commonly used for critical applications, have to operate reliably for long periods of time, and usually have a high degree of complexity. Current embedded systems software development practice, however, often deals with the (requirements) Analysis phase in a superficial manner, instead emphasizing design and implementation. This research investigates how an approach similar to the well-known design patterns, termed Object Analysis patterns, can be applied in the Analysis phase of embedded systems development, prior to design and coding. Specifically, our research explores how Object-oriented modeling notations, such as the Unified Modeling Language (UML), can be used to represent structural and behavioral information as part of commonly occurring Object Analysis patterns. This work also investigates how UML-based conceptual models of embedded systems, based on the diagram templates in the Object Analysis patterns, can be automatically analyzed using the Spin model checker for adherence to properties specified in linear-time temporal logic (LTL) using a previously developed UML formalization framework. We have applied these patterns to several embedded systems applications obtained from the automotive industry. This paper describes one of our case studies and illustrates how our approach facilitates the construction of UML-based conceptual models of embedded systems and the Analysis of these models for adherence to functional requirements.

Stefan Wermter - One of the best experts on this subject based on the ideXlab platform.

  • IROS - Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot
    2018 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
    Co-Authors: Manfred Eppe, Matthias Kerzel, Erik Strahl, Stefan Wermter
    Abstract:

    We present a novel approach for interactive auditory Object Analysis with a humanoid robot. The robot elicits sensory information by physically shaking visually indistinguishable plastic capsules. It gathers the resulting audio signals from microphones that are embedded into the robotic ears. A neural network architecture learns from these signals to analyze properties of the contents of the containers. Specifically, we evaluate the material classification and weight prediction accuracy and demonstrate that the framework is fairly robust to acoustic real-world noise.

  • Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot
    2018 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
    Co-Authors: Manfred Eppe, Matthias Kerzel, Erik Strahl, Stefan Wermter
    Abstract:

    We present a novel approach for interactive auditory Object Analysis with a humanoid robot. The robot elicits sensory information by physically shaking visually indistinguishable plastic capsules. It gathers the resulting audio signals from microphones that are embedded into the robotic ears. A neural network architecture learns from these signals to analyze properties of the contents of the containers. Specifically, we evaluate the material classification and weight prediction accuracy and demonstrate that the framework is fairly robust to acoustic real-world noise.

Mohd Ridzuan Ahmad - One of the best experts on this subject based on the ideXlab platform.

  • Electrodes Microfluidics System for Microbio Object Analysis
    Jurnal Teknologi, 2014
    Co-Authors: Habibur Rahman, Mohd Ridzuan Ahmad
    Abstract:

    We have designed and fabricated an electrode microfluidics system for microbio Object Analysis. Two parallel-plate electrodes were fabricated using the soft lithography technique integrated with a polydimethylsiloxane (PDMS) microfluidics channel. Gold (Au) material was decomposed to fabricate the electrodes. The voltage response through the charging and discharging of the electrodes was observed using an oscilloscope. For a constant dc voltage of 5 V we obtained a time constant for the electrodes of 3.6 ms. On the other hand, it requires 850 ms to discharge completely without an external load. The capacitance of the electrodes in air (room environment) is 0.39 pF. Due to the higher dielectric constant of distilled water (80.1), in the water medium the electrode capacitance is 0.77 pF. We also measured the capacitance of the electrodes by changing the medium to microbio Objects such as yeast cells (5 pF) and live bacteria cells (30 pF). The results showed that bacteria have a higher electrical capacitance than yeast.

  • ICCSCE - Electrical characterizations of electrodes microfluidics system for microbio Object Analysis
    2013 IEEE International Conference on Control System Computing and Engineering, 2013
    Co-Authors: Habibur Rahman, Mohd Ridzuan Ahmad
    Abstract:

    We have designed and fabricated electrodes microfluidics system for microbio Object Analysis. Two parallel plate electrodes were fabricated using soft lithography technique integrated with PDMS microfluidics channel. Gold (Au) material was decomposed to fabricate the electrodes. Voltage response through charging and discharging of the electrodes were observed using oscilloscope. For a constant dc voltage of 5 V we have obtained the time constant of the electrodes as 3.6 ms. On the other hand, it requires 850 ms to discharge completely without an external load. We have measured the capacitance of the electrodes as 0.37 pF in air (room environment) medium, on the other hand in distilled water medium electrodes capacitance is 0.77 pF. This is because of the high dielectric constant of distilled water (80.1). We have also measured electrodes capacitance by changing the medium to microbio Objects such as; yeast cells (5 pF) and live bacteria cells (30 pF). Results showed that, bacteria have a higher electrical capacitance rather than yeast.

  • Electrical characterizations of electrodes microfluidics system for microbio Object Analysis
    2013 IEEE International Conference on Control System Computing and Engineering, 2013
    Co-Authors: Md. Habibur Rahman, Mohd Ridzuan Ahmad
    Abstract:

    We have designed and fabricated electrodes microfluidics system for microbio Object Analysis. Two parallel plate electrodes were fabricated using soft lithography technique integrated with PDMS microfluidics channel. Gold (Au) material was decomposed to fabricate the electrodes. Voltage response through charging and discharging of the electrodes were observed using oscilloscope. For a constant dc voltage of 5 V we have obtained the time constant of the electrodes as 3.6 ms. On the other hand, it requires 850 ms to discharge completely without an external load. We have measured the capacitance of the electrodes as 0.37 pF in air (room environment) medium, on the other hand in distilled water medium electrodes capacitance is 0.77 pF. This is because of the high dielectric constant of distilled water (80.1). We have also measured electrodes capacitance by changing the medium to microbio Objects such as; yeast cells (5 pF) and live bacteria cells (30 pF). Results showed that, bacteria have a higher electrical capacitance rather than yeast.

Manfred Eppe - One of the best experts on this subject based on the ideXlab platform.

  • IROS - Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot
    2018 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
    Co-Authors: Manfred Eppe, Matthias Kerzel, Erik Strahl, Stefan Wermter
    Abstract:

    We present a novel approach for interactive auditory Object Analysis with a humanoid robot. The robot elicits sensory information by physically shaking visually indistinguishable plastic capsules. It gathers the resulting audio signals from microphones that are embedded into the robotic ears. A neural network architecture learns from these signals to analyze properties of the contents of the containers. Specifically, we evaluate the material classification and weight prediction accuracy and demonstrate that the framework is fairly robust to acoustic real-world noise.

  • Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot
    2018 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
    Co-Authors: Manfred Eppe, Matthias Kerzel, Erik Strahl, Stefan Wermter
    Abstract:

    We present a novel approach for interactive auditory Object Analysis with a humanoid robot. The robot elicits sensory information by physically shaking visually indistinguishable plastic capsules. It gathers the resulting audio signals from microphones that are embedded into the robotic ears. A neural network architecture learns from these signals to analyze properties of the contents of the containers. Specifically, we evaluate the material classification and weight prediction accuracy and demonstrate that the framework is fairly robust to acoustic real-world noise.

Laurel C Sadler - One of the best experts on this subject based on the ideXlab platform.

  • Maintaining the Database for Information Object Analysis, Intent, Dissemination and Enhancement (IOAIDE) and the US Army Research Laboratory Campus Sensor Network (ARL CSN)
    2020
    Co-Authors: Laurel C Sadler
    Abstract:

    Abstract : The research database discussed in this report supports both Information Object Analysis, Intent, Dissemination and Enhancement (IOAIDE) and the US Army Research Laboratory (ARL) campus sensor network (CSN), allowing IOAIDE to use all data made available from the ARL campus sensors. This report describes, in intricate detail, the steps involved in maintaining the IOAIDE/ARL CSN database. It is targeted at developers and users with the basic knowledge and understanding of the Windows-based computer operations as well as basic knowledge of Microsoft Structured Query Language Server Management Studio (2014 or 2016).

  • Installing and Executing Information Object Analysis, Intent, Dissemination, and Enhancement (IOAIDE) and Its Dependencies
    2017
    Co-Authors: Laurel C Sadler, Christian D Schlesiger
    Abstract:

    Abstract : Information Object Analysis, Intent, Dissemination, and Enhancement (IOAIDE) is a novel information framework developed at the US Army Research Laboratory that supports the needs of command and control analysts as well as researchers in both algorithm and tool prototyping. It supports dynamic plugin of Analysis modules, for either research or Analysis tasks. The framework integrates multiple image processing algorithms, image and video feeds, and a dissemination service for the dissemination and retrieval of information Objects, as well as a central database for storage and query of information Objects. With the variety of services and development tools required to develop and run the IOAIDE tool, it is rather complicated to deploy the application or set up its development environment. This report is targeted at developers and users with the basic knowledge and understanding of Windows-based computer operations. The report lists the required commercial software packages and describes in intricate detail the steps involved in preparing the IOAIDE application computer for development, execution, and database setup.