In complex dynamical networks, interactions among nodes not only represent binary relationships but also multivariate relationships. This paper investigates H∞ synchronization of high-order complex dynamical networks...
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Modern software systems are becoming increasingly complex and opaque. The integration of explanations within software has shown the potential to address this opacity and can make the system more understandable to end-...
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ISBN:
(纸本)9798350395129;9798350395112
Modern software systems are becoming increasingly complex and opaque. The integration of explanations within software has shown the potential to address this opacity and can make the system more understandable to end-users. As a result, explainability has gained much traction as a non-functional requirement of complexsystems. Understanding what type of system requires what types of explanations is necessary to facilitate the inclusion of explainability in early software design processes. In order to specify explainability requirements, an explainability taxonomy that applies to a variety of different software types is needed. In this paper, we present the results of an online survey with 84 participants. We asked the participants to state their questions and confusions concerning their three most recently used software systems and elicited both explicit and implicit explainability needs from their statements. These needs were coded by three researchers. In total, we identified and classified 315 explainability needs from the survey answers. Drawing from a large pool of explainability needs and our coding procedure, we present two major contributions of this work: 1) a taxonomy for explainability needs in everyday software systems and 2) an overview of how the need for explanations differs between different types of software systems.
The ieeeinternational Solid-State Circuits conference (ISSCC) is the flagship conference of the ieee Solid-State Circuits Society and the foremost global forum for presenting advances in solid-state circuits and syst...
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The ieeeinternational Solid-State Circuits conference (ISSCC) is the flagship conference of the ieee Solid-State Circuits Society and the foremost global forum for presenting advances in solid-state circuits and systems-on-a-chip. Starting from 2010, the ieee Transactions on Biomedical Circuits and systems has highlighted selected papers from ISSCC on topics related to biological and healthcare applications. This special section features five selected papers from ISSCC 2023, held in San Francisco, California, USA from February 19 to February 23, 2023.
This paper addresses the challenge of issue management in complex, component-based software architectures. In these systems, issues in one component often propagate across the architecture along the call chains. Yet, ...
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Internet of Things (IoT) and edge platforms are very complexsystems. They are heterogeneous in terms of hardware and software. In these systems, being able to document the energy consumed by the nodes is important. T...
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ISBN:
(纸本)9798350309461
Internet of Things (IoT) and edge platforms are very complexsystems. They are heterogeneous in terms of hardware and software. In these systems, being able to document the energy consumed by the nodes is important. To mitigate the impact of such systems on the energy consumption and improve their energy efficiency, research experiments involving power monitoring tools are required. However, in the context of IoT and edge platforms, having access to a power monitoring system to monitor specific nodes can be challenging. Similarly, building a power monitoring tool can be time consuming and complex. Single-Board computers (SBC) based monitoring systems are flexible since they are accessible and provide full integration with existing computersystems, such as test-beds. However, building and evaluating this type of monitoring tool is challenging. In this paper, we propose a SBC-based power monitoring system that aims at being simple to reproduce and plugable into existing test-beds. In addition, a framework to evaluate the performance of such systems is detailed. The results show that, with this framework, accurate evaluation of the sample read performance of (IC)-C-2-based power meters can be performed. Details about the advantages and weaknesses of our setup are highlighted.
This paper presents a compact, low-power, complex permittivity sensor design in 22nm FDSOI CMOS technology. The design allows for measuring both the real and imaginary parts of the permittivity of the material under t...
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ISBN:
(纸本)9798350348194;9798350348187
This paper presents a compact, low-power, complex permittivity sensor design in 22nm FDSOI CMOS technology. The design allows for measuring both the real and imaginary parts of the permittivity of the material under test that is exposed to the sensor. The sensor is integrated into the resonant tank of an oscillator circuit, where the output results are frequency-dependent oscillator frequency and output power. To convert the frequency information to DC voltage, a frequency discriminator consisting of a RC polyphase filter, a voltage-driven double-balanced passive mixer, and an operational amplifier acting as buffer and active low-pass filter are used. The functionality of the sensor is demonstrated by placing a small piece of fat tissue on top of the resonant tank. The chip has a miniature size and occupies only 0.56 mm(2) area. It consumes 6.4 mW of power from a 0.8 V supply which is much lower compared to the state-of-the-art.
Matrix multiplication is an essential tool in various engineering sciences. Matrices, as two-dimensional arrays, are excellent for representing the properties of complexsystems. Multiplication of these matrices can t...
This paper presents an application of the complex Fuzzy Set (CFS) concept to the adaptation of an automated condition monitoring method (CMM). It is founded on the previous work from Ramot, which introduced the core a...
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ISBN:
(纸本)9798350358513;9798350358520
This paper presents an application of the complex Fuzzy Set (CFS) concept to the adaptation of an automated condition monitoring method (CMM). It is founded on the previous work from Ramot, which introduced the core aspects of the CFS and defined a related technique for measuring the similarity between two signals. The technique is adapted to the important problem of predicting the health of a system or machine. Some analyses based on synthetic signals are performed to theoretically support main aspects of the method. Other results focus on the use of synthetic signals from a robot model to monitor robot joint degradation, showing the potential of the CMM for different industrial applications that could benefit from a soft online condition monitoring approach.
Requirements engineering processes are designed to identify and organize requirements for complex software systems. Setting requirements in the form of logical formalisms allows us to automatically check the requireme...
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In many applications of digital signal processing (DSP) and communication networks, complex multiplication is essential. The efficiency and speed of complex multiplication have a direct and important effect on the ove...
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