EDEN, a computer-aidedsoftwareengineering (CASE) environment, is currently being developed. The objective of this project is to integrate structure design methodologies, software module libraries, and rigorous testi...
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EDEN, a computer-aidedsoftwareengineering (CASE) environment, is currently being developed. The objective of this project is to integrate structure design methodologies, software module libraries, and rigorous testing through the entire software life-cycle. In addition to supporting each phase of the life-cycle, EDEN will provide project management tools such as metrics analysis, configuration management, and quality assurance compliance. An important concept inherent in this research is that an effective CASE environment cannot be achieved without completely integrating the different phases through a common database system. An interactive graphics interface to shelter the EDEN user from the complexity of the system will also be developed.< >
Discharge sequential control (DSC) is an essential control function for the intermittent and pulse discharge operation of a tokamak device, so that many subsystems may work with each other in correct order and/or sync...
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Discharge sequential control (DSC) is an essential control function for the intermittent and pulse discharge operation of a tokamak device, so that many subsystems may work with each other in correct order and/or synchronously. In the development of the DSC program, block diagrams of logical operation for sequential control are illustrated in its design at first. Then, the logical operators and I/O's which are involved in the block diagrams are compiled and converted to a certain particular form. Since the block diagrams of the sequential control amounts to about 50 sheets in the case of the JT-60 upgrade tokamak (JT-60U) high power discharge and the above steps of the development have been performed manually so far, a great effort has been required for the program development. In order to remove inefficiency in such development processes, a computer-aidedsoftwareengineering (CASE) tool has been developed on a UNIX workstation. This paper reports how we design it for the development of the sequential control programs. The tool is composed of the following three tools: (1) Automatic drawing tool, (2) Editing tool, and (3) Trace tool. This CASE tool, an object-oriented programming tool having graphical formalism, can powerfully accelerate the cycle for the development of the sequential control function commonly associated with pulse discharge in a tokamak fusion device.
The author explores some issues concerning the role that interdisciplinary groups may play in the use of computer-aidedsoftwareengineering (CASE) technologies, by presenting a view of what CASE support for end-users...
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The author explores some issues concerning the role that interdisciplinary groups may play in the use of computer-aidedsoftwareengineering (CASE) technologies, by presenting a view of what CASE support for end-users might be. He discusses the place of these facilities in the development cycle. An experimental tool is reviewed that allows individual users to formulate elements of a problem and to describe some preliminary information requirements prior to and during the formal analysis process. A contribution of this preanalysis stage to the development process is to capture the terms of reference and original perceptions about the system from the users. The five components of the prototype, the supervisor, the dictionary, the analyzer, the human-computer interface standards, and the dialog manager, are outlined.< >
The possibility of integrating group support systems (GSSs), joint application development (JAD), and computer-aidedsoftwareengineering (CASE) tools to support the requirements specification processes is examined. T...
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The possibility of integrating group support systems (GSSs), joint application development (JAD), and computer-aidedsoftwareengineering (CASE) tools to support the requirements specification processes is examined. The relevance of GSSs, JAD, and CASE to requirements specification is discussed. An integration framework is proposed and is augmented by a domain-analysis methodology. A pilot study conducted to assess the effectiveness of applying the domain-analysis methodology in using GSSs for requirements specification is reported.< >
It is suggested that the complete lack of validated research demonstrating productivity benefits of computer-aidedsoftwareengineering (CASE) tools is due to a number of inherent difficulties in the CASE evaluation p...
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It is suggested that the complete lack of validated research demonstrating productivity benefits of computer-aidedsoftwareengineering (CASE) tools is due to a number of inherent difficulties in the CASE evaluation process. A research agenda is set forth to address the shortfalls in managers' current ability to evaluate these tools. Managerial impacts that are commonly associated with CASE tools are described, and it is shown why measuring these impacts can be difficult. Additionally, some less commonly cited impacts are raised, and suggestions for research in these areas are made. The importance of models of software development to research in this area is discussed. Three popular research methodologies-experiments, field studies, and surveys-are described, and their limitations are examined.< >
Detailed kinetic and thermodynamic modeling and simulation of the chemical reactions are the valuable contributions at design stage of a new explosion mitigation engineering system, during the official explosion accid...
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Detailed kinetic and thermodynamic modeling and simulation of the chemical reactions are the valuable contributions at design stage of a new explosion mitigation engineering system, during the official explosion accident investigations, and for the academic studies of the complex explosion phenomena. In Moscow Institute of Physics and Technology along with the traditional experimental laboratory works in chemical kinetics and thermodynamics an integration of computer-aided labs into curricula of the second and third course students was started two years ago.. Two core sets of digital laboratory works, connected with the combustion and explosion phenomena, were developed as supplements for the general chemical thermodynamics course and advanced chemical kinetics course. computer labs are based on "Chemical Workbench" - software system for complete cycle of computer-aided reaction engineering. "ChemBench" reaction simulation environment was developed by Kinetic Technologies (software provider) in cooperation with Russian Research Center "Kurchatov Institute". Report is focused on motivation and the goals of computer-aided laboratory works. Benefits of using these "virtual" or "digital research tools" in teaching of the chemical kinetics and thermodynamic aspects of combustion effects are shown. Their relations and drawbacks in comparison to ordinary "real" experimental installations and apparatuses are discussed.
Emotions arise from a complex interplay of various factors, including conscious experience, physiological processes, and contextual elements. Although emotions are inherently dynamic processes, this aspect is oftentim...
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Emotions arise from a complex interplay of various factors, including conscious experience, physiological processes, and contextual elements. Although emotions are inherently dynamic processes, this aspect is oftentimes neglected in experimental protocols. In this study, we employed dynamical systems theory to investigate the time-varying self-assessed emotion ratings. We used the continuous ratings of the publicly available CASE dataset, in which thirty individuals rated their level of arousal and valence while watching videos designed to evoke four different emotions. First, we analyzed the univariate dynamics by reconstructing the phase space from the arousal and valence series separately, and quantified their regularity and spatial complexity by using three metrics: Fuzzy, Sample, and Distribution Entropy. Then, we combined the arousal and valence series and proposed a novel index, the Multichannel Distribution Entropy (MDistEn), to estimate the complexity of the bivariate phase space. By coupling the two dimensions, we found that MDistEn resulted as an effective marker of fear, showing patterns statistically different from all of the other stimuli (p-value $\leq$<= 0.001). These findings support the investigation of the time-varying dynamics of annotated emotion ratings as a promising pathway to discriminate the onset of fear-related pathological states.
In this study, we focus on investigating the time-encoded images of electrodermal activity (EDA) segments to identify significant patterns for an emotion recognition system. Initially, the EDA signals were procured fr...
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In this study, we focus on investigating the time-encoded images of electrodermal activity (EDA) segments to identify significant patterns for an emotion recognition system. Initially, the EDA signals were procured from two openly accessible datasets, namely, continuously annotated signals of emotions (CASE) and wearable stress and affect detection (WESAD). These signals were then preprocessed and decomposed into phasic signals through a convex optimization approach. Subsequently, we divided the phasic signals into two equal segments, each further subdivided into nine equal windows with a 50% overlap. Moreover, we generated time-encoded image representations of these windowed phasic signals using a Gramian angular summation field (GASF), Markov transition field (MTF), recurrence plot (RP), and a fusion of these images. In addition, we extracted 85 textural features based on the gray-level co-occurrence matrix (GLCM), gray-level run-length matrix (GLRLM), fractal dimension texture analysis (FDTA), Zernike's moments (ZMs), Hu's moments (HMs), and first-order statistics (FOSs). Four machine learning (ML) models, including logistic regression (LR), random forest (RF), extreme gradient boosting (XGB), and multilayer perceptron (MLP), were developed to classify two-class emotions associated with arousal and valence from CASE, as well as three-class emotions (amusement, neutral, and stress) from WESAD, considering three different approaches: the first half, the second half, and the whole phasic signal. The highest classification accuracy achieved was 79.79% for two-class arousal and 71.71% for two-class valence on the CASE. In contrast, our models demonstrated an outstanding emotional classification accuracy of 98.4% for the three-class emotion in the WESAD. These outcomes highlight the potential of our proposed methodology for analyzing emotions in healthcare, with the ability to accurately classify emotions holding promising implications for improving patient care, menta
In recent years, significant research has explored 6G vision, enabling technologies, business models, and potential applications. However, the economic feasibility of these advanced and intelligent services must be ad...
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In recent years, significant research has explored 6G vision, enabling technologies, business models, and potential applications. However, the economic feasibility of these advanced and intelligent services must be addressed before standardization. To support the successful realization of 6G promises, we quantified the technical requirements and assessed the economic viability of the proposed solutions using current 5G data and appropriate multipliers. An example application of our analysis shows that the required performance improvements and network densification lead to significantly higher infrastructure costs, with 6G investments estimated to be 200%-840% higher than those of 5G, depending on the use case. In addition, both revenue and Average Revenue Per User (ARPU) are projected to increase considerably. For example, implementing 6G in the case of Pervasive Connectivity & Smart Cities requires an ARPU growth of 10% and a 479% increase in revenue compared with today's 5G, making it highly feasible. However, use cases such as AR/VR applications present challenges, with ARPU requiring a 582% increase to achieve 407% revenue growth. The proposed approach represents a significant contribution that offers economic insights to stakeholders by quantifying and assessing various 6G deployment scenarios. It does so in a structured and replicable manner, fostering an open dialogue on the economic potential of 6G within a well-defined framework.
In this paper, an overview is presented of recently developed modeling approaches and tools for the assessment of local failure mechanisms in historic masonry structures. In the proposed rigid block modeling approach,...
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