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11th International Conference on Metadata and Semantic Research, MTSR 2017

作者： Simas, Félix Barros, Rebeca Salvador, Laís Weber, Marian Amorim, Simone Center for Software and Systems Engineering at UFBA Salvador Brazil Salvador Brazil Karlsruhe Germany Salvador Brazil

ISBN: (纸本)9783319708621

Considering the potential of Emergency Response systems (ERS) in combination with crowd-based information, this article presents a data integration solution within the scope of the RESCUER project: an ontology based data exchange solution to allow semantic interoperability between ERS of Command and Control centers, referred to as Legacy systems, and RESCUER. The solution is implemented by the Data Integration with Legacy systems (DILS) component which can be used for the exchange of incident information by any ERS. As a result, we evaluated simulated emergency cases by sending RESCUER emergency reports to another ERS with the DILS. © Springer International Publishing AG 2017.

关键词： Electronic data interchange

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Non-functional properties in software product lines: A reuse approach 15

Non-functional properties in software product lines: A reuse...

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9th International Workshop on Variability Modelling of software-Intensive systems, VaMoS 2015

作者： Soares, Larissa Rocha Do Carmo Machado, Ivan De Almeida, Eduardo Santana Federal University of Bahia Salvador Bahia Brazil Fraunhofer Project Center for Software and Systems Engineering Brazil

ISBN: (纸本)9781450332736

software Product Line engineering (SPLE) emerges for software organizations interested in customized products at reasonable costs. Based on the selection of features, stakeholders can derive programs satisfying a range of functional properties and non-functional ones. The explicit definition of Non-Functional Properties (NFP) during software configuration has been considered a challenging task. Dealing with them is not well established yet, neither in theory nor in practice. In this sense, we present a framework to specify NFP for SPLE and we also propose a reuse approach that promotes the reuse of NFP values during the product configuration. We discuss the results of a case study aimed to evaluate the applicability of the proposed work. Copyright 2015 ACM.

关键词： Computer software reusability

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EEG-based schizophrenia diagnosis using deep learning with multi-scale and adaptive feature selection

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PeerJ Computer Science 2025年 11卷

作者： Mazroa, Alanoud Al Eltahir, Majdy M. Ebad, Shouki A. Alotaibi, Faiz Abdullah Venkatachalam, K. Cho, Jaehyuk Department of Information Systems Princess Nourah bint Abdulrahman University Riyadh Saudi Arabia Department of Information Systems King Khalid University Abha Saudi Arabia Center for Scientific Research and Entrepreneurship Northern Border University Arar Saudi Arabia Department of Information Science King Saud University Riyadh Saudi Arabia Department of Software Engineering Jeonbuk National University Jeonju Korea Republic of Department of Software Engineering Division of Electronics & Information Engineering Jeonbuk National University Jeonju Korea Republic of

Schizophrenia is a chronic and severe mental illness that significantly impacts the daily lives and work of those affected. Unfortunately, schizophrenia with negative symptoms often gets misdiagnosed, relying heavily on the clinician’s experience. There is a pressing need to develop an objective and effective diagnostic method for this specific type of schizophrenia. This paper proposes a new deep-learning method called Cascaded Atrous Convolutional Network with Adaptive Weight Fusion (CA-AWFM) for classifying schizophrenia from electroencephalogram (EEG) data that combines cascaded networks with atrous convolutions and an adaptive weight fusion module (AWFM). This is because schizophrenia involves intricate and subtle brain wave patterns that make it difficult to detect the disorder from EEG signals. As such, our model uses an ‘‘atrous’’ convolution operation to extract multi-scale temporal information and a cascade network structure that progressively improves the attribute representations across layers. For classification purposes, AWFM enables our model to modify the importance of features dynamically. We evaluated our technique using a publicly available dataset of EEG recordings acquired from patients who have schizophrenia and everyday individuals. The proposed model has significantly outperformed existing methods with a 99.5% accuracy rate. With the help of atrous convolutions, local and global dependencies within the EEGs can be effectively modeled in this way. At the same time, AWFM makes flexible prioritization of characteristics possible for improved classification performance. With such impressive figures achieved, it can be concluded that our approach should be considered as accurate enough for routine clinical use in identifying schizophrenic patients early on so they can receive intervention measures on time or when diagnosed late, then dealt with appropriately. Copyright 2025 Al Mazroa et al. Distributed under Creative Commons CC-BY 4.0

关键词： Electrotherapeutics

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The Numerical Model for Sarcoplasmic Reticulum Ca2+ Blink in Rabbit Cardiomyocytes 3

The Numerical Model for Sarcoplasmic Reticulum Ca2+ Blink in...

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3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, CAMMIC 2023

作者： Liang, Yongshen Xu, Menghao Beijing Engineering Research Center for IoT Software and Systems Beijing University of Technology Beijing100124 China

ISBN: (纸本)9781510667600

Ca2+ in cardiac myocyte are mainly stored in the sarcoplasmic reticulum (SR), the disturbance of Ca2+ dynamics in the SR can cause various cardiovascular diseases. However, there is a lack of research on regulatory mechanism of SR Ca2+. In this paper, we developed a spatially-detailed numerical model for Ca2+ blink to analyze Ca2+ spatiotemporal dynamic characteristics in junctional SR (jSR) cisternae of rabbit cardiomyocytes. The geometric model is constructed by 2-dimensional unstructured triangular meshes with a combined method of Delaunay Triangulations (DT) and Advancing Front Technique (AFT). The numerical method for solving the governing equations adopts Basic Function Method based on unstructured triangular meshes. Finally, our model is well reproduced the SR Ca2+ kinetics of Ca2+ blink and simulated results well match the results of a recent biological experiment. © 2023 SPIE.

关键词： Numerical models

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Population Statistics Algorithm Based on MobileNet 4

Population Statistics Algorithm Based on MobileNet

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2019 4th International Conference on Intelligent Computing and Signal Processing, ICSP 2019

作者： Feng, Xiaoqin Xie, Rong Sheng, Junyang Zhang, Shuo Beijing Engineering Research Center for IoT Software and Systems Beijing University of Technology Beijing100124 China

In today's society, intelligent video surveillance plays an important role in social security, traffic scheduling, national security and other fields. One of the research hotspots is people statistics based on image processing, which has strategic significance in practical applications. Aimed at the problem that the low accuracy in the actual application scenario, the limited hardware resources, and the low operation efficiency, this paper proposes a multi-feature target detection model based on the lightweight deep learning network MobileNet [1], which can be used in intelligent terminals. The basic feature-extraction network MobileNet as a lightweight network can provide a flexible alternative configuration in terms of efficiency and accuracy. The underlying detection network selects a single deep nerual network, named SSD [2]. The algorithm can achieve multi-scale target detection, and uses the target position and category to perform one-time regression. In this paper, the activation function of SSD is changed into SeLU (scaled exponential linear units) [3], which improves the robustness of the algorithm. At the same time, the work of sample diversity and data enhancement has been made, and the characteristics of the human body above the shoulders have been fully utilized. Experiments have shown that the improved network structure based on MobileNet has higher detection accuracy, lower delay, excellent robustness, while the number of model parameters is effectively reduced. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Population statistics

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Strategies for consistency checking on software product lines: A mapping study 15

Strategies for consistency checking on software product line...

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19th International Conference on Evaluation and Assessment in software engineering, EASE 2015

作者： Santos, Alcemir Rodrigues De Oliveira, Raphael Pereira De Almeida, Eduardo Santana Reuse in Software Engineering Laboratory - RiSELabs Federal University of Bahia Salvador Brazil Fraunhofer Project Center for Software and Systems Engineering Federal University of Bahia Salvador Brazil

ISBN: (纸本)9781450333504

Context. software Product Lines (SPL) has become one of the most prominents way to promote the systematic reuse of software artifacts. Like any other piece of software, with the SPL aging, it becomes necessary to manage their evolution. However, in this process, engineers might introduce divergences among the SPL artifacts. Thus, a number of initiatives address the management of such inconsistencies. Objective. In this paper, we mapped the existing approaches to inconsistency management within SPL. Method. We used the systematic mapping study methodology. Results. We classified and performed a characterization of the approaches found, which we mangaged to arrange in three main categories. Most papers selected proposed new methods as solution research. Besides, there is still a need for validation and evaluation studies. Conclusion. We identified a lack of support for a number of activities of consistency assurance. For instance, no paper addressed the tracking of findings, decisions, and actions, as well as, few papers describing either the handling or a management policy for identified inconsistencies. Copyright 2015 ACM.

关键词： Computer software reusability

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Implementation of Accelerating Video Preprocessing based on ZYNQ Platform Resource Management 5

Implementation of Accelerating Video Preprocessing based on ...

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2020 5th International Conference on Intelligent Computing and Signal Processing, ICSP 2020

作者： Sheng, Mengxue Hou, Wanwan Jiang, Juchao Beijing Engineering Research Center for IoT Software and Systems Beijing University of Technology Beijing100124 China

Embedded AI rised in recent years, AI algorithm deployment platforms need strong computing power, but embedded systems focus on the balance between performance and cost. The contradiction has become a great challenge for the development of embedded AI. This paper analyzes the "ARM+FPGA" architecture and NEON register resources of the ZYNQ series chips introduced by Xilinx, and proposes a method to reasonably schedule the above resources to accelerate video preprocessing when it is used as an edge processing platform for intelligent monitoring terminals. This method makes the video intelligent analysis process of the monitoring terminal achieve real-time. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Computing power

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Prediction of Air Quality Based on KNN-LSTM 4

Prediction of Air Quality Based on KNN-LSTM

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2019 4th International Conference on Intelligent Computing and Signal Processing, ICSP 2019

作者： Qin, Zepeng Cen, Chen Guo, Xu Beijing Engineering Research Center for LoT Software and Systems Beijing University of Technology Beijing100124 China

Since most of the existing air quality index (AQI) predicting models focused on prediction of the time series data of a single target monitoring station, they failed to consider the correlation and mutual influence among the air quality monitoring station sites and the spatio-temporal characteristics of air quality. And this will lead to a certain one-sidedness during air quality prediction of a particular site. Aimed at this problem, a short-term air quality prediction model based on K-nearest neighbor (KNN) and Long Short-Term Memory (LSTM) was proposed. The model firstly used KNN algorithm to select the time and space-related monitoring stations, then the air quality index sequences of these stations were constructed into data sets, followed by training and testing processes in the LSTM model, and finally the model was verified with real data. It is suggested that the prediction accuracy of the hybrid prediction model constructed in this paper is acceptable in terms of the space-time correlation, and it could be an alternative for further application of air quality prediction. © Published under licence by IOP Publishing Ltd.

关键词： Long short-term memory

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Reducing estimation uncertainty with continuous assessment: Tracking the "cone of uncertainty"

Reducing estimation uncertainty with continuous assessment: ...

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25th IEEE/ACM International Conference on Automated software engineering, ASE'10

作者： Aroonvatanaporn, Pongtip Sinthop, Chatchai Boehm, Barry Center for Systems and Software Engineering University of Southern California Los Angeles CA 90089 United States

ISBN: (纸本)9781450301169

Accurate software cost and schedule estimations are essential especially for large software projects. However, once the required efforts have been estimated, little is done to recalibrate and reduce the uncertainty of the initial estimates. To address this problem, we have developed and used a framework to continuously monitor the software project progress and readjust the estimated effort utilizing the Constructive Cost Model II (COCOMO II) and the Unified CodeCount Tool developed by the University of Southern California (USC). As a software project progresses, we gain more information about the project itself, which can then be used to assess and re-estimate the effort required to complete the project. With more accurate estimations and less uncertainties, the quality and goal of project outcome can be assured within the available resources. The paper thus also provides and analyzes empirical data on how projects evolve within the familiar software "cone of uncertainty.". © 2010 ACM.

关键词： Uncertainty analysis

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Fast robust matching algorithm based on BRISK and GMS 4

Fast robust matching algorithm based on BRISK and GMS

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2019 4th International Conference on Intelligent Computing and Signal Processing, ICSP 2019

作者： Cen, Chen Li, Runqi Xu, Xi Beijing Engineering Research Center for IoT Software and Systems Beijing University of Technology Beijing100124 China

In the image stitching technology, traditional feature extraction algorithms have uneven feature points distribution, many redundant features, time-consuming feature points precision matching and low image registration accuracy. In view of these problems, this paper proposes an improved image registration algorithm based on BRISK and GMS. In this method, the image is first divided into meshes and BRISK algorithm is used for extracting image features, then the Brute Force matching algorithm is used for rough image matching. Finally, the mesh motion estimation method is used for feature quantity statistics, and error matching is removed to obtain a set of fine matching feature points for image registration. This paper verified the robustness of the improved algorithm by comparing it with other methods in the Mikolajczyk data set. The experimental results show that this algorithm achieves higher matching accuracy on the basis of maintaining speed compared with the original algorithm, and the average accuracy is improved by 8.02%. It has better performance than the traditional algorithm, which can be used for occasions with higher requirements on registration accuracy and real-time performance. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Image registration

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