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arXiv 2019年

作者： Zhang, Lefei Zhang, Qian Du, Bo Huang, Xin Tang, Yuan Yan Tao, Dacheng State Key Laboratory of Software Engineering School of Computer Wuhan University Wuhan430072 China Beijing Samsung Telecom R&D Center Beijing100028 China School of Remote Sensing and Information Engineering Wuhan University Wuhan430072 China Department of Computer and Information Science University of Macau Macau999078 China Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology SydneyNSW2007 Australia

In hyperspectral remote sensing data mining, it is important to take into account of both spectral and spatial information, such as the spectral signature, texture feature and morphological property, to improve the performances, e.g., the image classification accuracy. In a feature representation point of view, a nature approach to handle this situation is to concatenate the spectral and spatial features into a single but high dimensional vector and then apply a certain dimension reduction technique directly on that concatenated vector before feed it into the subsequent classifier. However, multiple features from various domains definitely have different physical meanings and statistical properties, and thus such concatenation hasn't efficiently explore the complementary properties among different features, which should benefit for boost the feature discriminability. Furthermore, it is also difficult to interpret the transformed results of the concatenated vector. Consequently, finding a physically meaningful consensus low dimensional feature representation of original multiple features is still a challenging task. In order to address the these issues, we propose a novel feature learning framework, i.e., the simultaneous spectral-spatial feature selection and extraction algorithm, for hyperspectral images spectralspatial feature representation and classification. Specifically, the proposed method learns a latent low dimensional subspace by projecting the spectral-spatial feature into a common feature space, where the complementary information has been effectively exploited, and simultaneously, only the most significant original features have been transformed. Encouraging experimental results on three public available hyperspectral remote sensing datasets confirm that our proposed method is effective and efficient. Copyright © 2019, The Authors. All rights reserved.

关键词： Feature extraction

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ν-SVR polynomial kernel for predicting the defect density in new software projects

arXiv

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arXiv 2018年

作者： López-Martín, Cuauhtémoc Azzeh, Mohammad Nassif, Ali Bou Banitaan, Shadi Department of Information Systems Universidad de Guadalajara Mexico Department of Software Engineering Applied Science Private University Amman Jordan Department of Electrical and Computer Engineering University of Sharjah Sharjah United Arab Emirates Department of Mathematics Computer Science and Software Engineering University of Detroit Mercy DetroitMI United States

An important product measure to determine the effectiveness of software processes is the defect density (DD). In this study, we propose the application of support vector regression (SVR) to predict the DD of new software projects obtained from the International software Benchmarking Standards Group (ISBSG) Release 2018 data set. Two types of SVR (i.e., Ε-SVR and ν-SVR) were applied to train and test these projects. Each SVR used four types of kernels. The prediction accuracy of each SVR was compared to that of a statistical regression (i.e., a simple linear regression, SLR). Statistical significance test showed that ν-SVR with polynomial kernel was better than that of SLR when new software projects were developed on mainframes and coded in programming languages of third generation. Copyright © 2018, The Authors. All rights reserved.

关键词： Forecasting

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A Proof-of-Concept Model Demonstration of System Level Cyber Attacks on Availability

A Proof-of-Concept Model Demonstration of System Level Cyber...

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IEEE SoutheastCon

作者： Uma Kannan Rajendran Swamidurai David Umphress Department of Computer Information Systems Alabama State University Montgomery AL USA Department of Mathematics and Computer Science Alabama State University Montgomery AL USA Department of Computer Science and Software Engineering Auburn University Auburn AL USA

ISBN: (纸本)9781538661345

In this study we have modeled a cyber security situation and demonstrated the system level effects using system dynamics PoC (Proof-of-Concept) model. We modeled a hypothetical Company's Information Technology infrastructure and simulated a Distributed Denial-of-Service attack on one part of the system in an effort to see how other parts of the system were affected. To validate our simulation model, we developed a cybersecurity testbed and conducted a cyber-attack on one application and observed its impact on the whole system. The results indicate that by using known vulnerabilities and the current knowledge about infrastructure and security controls, the system dynamic cyber security simulation modeling allows an organization to imitate the attacker activities and helps to assess and mitigate the system's risk exposure.

关键词： Cybersecurity system dynamics denial-of-service attack continuous simulation cybersecurity simulation

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Quantum cognition models of ethical decision-making in human behavior simulation 29

Quantum cognition models of ethical decision-making in human...

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29th European Modeling and Simulation Symposium, EMSS 2017

作者： Yilmaz, Levent Department of Computer Science and Software Engineering Department of Industrial and Systems Engineering Samuel Ginn College of Engineering Auburn University United States

ISBN: (纸本)9781510847651

Ethical decision-making is a unique aspect of human behavior. When confronted with situations that require careful deliberation over multitude of options that have ethical implications, human behavior tends to resolve dilemmas by resorting to a range of heuristics and principles that view the situation from different perspectives. While constraint and utility-driven decision-making strategies are relevant, the incompatibility among these perspectives can invalidate the underlying premises of models of probabilistic utility-based decisions that rely on classic Kolmogorov axioms. In this paper, it is posited that quantum cognition models can provide an alternative and credible representation of human behavior modeling in simulations that involve ethical decision-making.

关键词： Decision making

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Correction to: Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation

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Archives of Computational Methods in engineering 2021年第7期28卷 5039-5039页

作者： Ismail, Leila Materwala, Huned Tayefi, Maryam Ngo, Phuong Karduck, Achim P. Intelligent Distributed Computing and Systems Research Laboratory Department of Computer Science and Software Engineering College of Information Technology United Arab Emirates University Al Ain Abu Dhabi United Arab Emirates National Water and Energy Center United Arab Emirates University Al Ain Abu Dhabi United Arab Emirates Norwegian Centre for E-Health Research Tromsø Norway Faculty of Informatics Furtwangen University Furtwangen Germany

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Indoor Air Quality (IAQ) Sensing Device Prototype: software-Hardware Architecture and Performance

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IOP Conference Series: Materials science and engineering 2019年第1期551卷

作者： A Nor Azhar M Rahmah AH Roslina Z Fauziah Department of Computer Science Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak Gambang 26300 Kuantan Pahang Malaysia Department of Graphic & Multimedia Technology Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak Gambang 26300 Kuantan Pahang Malaysia Department of Software Engineering Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak Gambang 26300 Kuantan Pahang Malaysia

In a green environment, air quality is among the prominent aspects to be considered to prevent pollution and in turn maintain safe air. Sick Building Syndrome (SBS) and Building Related Illness (BRI) are the problems that must be encountered by building occupants. Existing devices are quite expensive, and more attention is needed on monitoring air quality. Therefore, this paper discusses a software-hardware architecture proposal to overcome the existing IAQ data retrieval performance problem. The objective of this work is to analyse the most recent IAQ sensing device developed by the researcher, to evaluate the performance attribute, and to implement the software-hardware architecture based on the Performance-Driven software Architecture Refactoring (PDSAR) method. In order to assess the overall performance of the architecture proposed, the prototype of the Indoor Air Quality (IAQ) sensing device was developed. The testing was performed during a period of six months. The results demonstrate that the average performance for 540 readings is 76.67%. This shows that the architecture can be accepted as a generic IAQ sensing device development structure. The device act as an alternative, cheaper and safer device which can be employed by all building owners in the future.

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Reinforcement learning meets minority game: Toward optimal resource allocation

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Physical Review E 2019年第3期99卷 032302-032302页

作者： Si-Ping Zhang Jia-Qi Dong Li Liu Zi-Gang Huang Liang Huang Ying-Cheng Lai The Key Laboratory of Biomedical Information Engineering of Ministry of Education The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs and Institute of Health and Rehabilitation Science School of Life Science and Technology Xi'an Jiaotong University Xi'an 710049 China Institute of Computational Physics and Complex Systems Lanzhou University Lanzhou 730000 China Institute of Theoretical Physics Key Laboratory of Theoretical Physics Chinese Academy of Sciences P.O. Box 2735 Beijing 100190 China School of Software Engineering Chongqing University Chongqing 400044 People's Republic of China School of Electrical Computer and Energy Engineering Department of Physics Arizona State University Tempe Arizona 85287 USA

The main point of this paper is to provide an affirmative answer through exploiting reinforcement learning (RL) in artificial intelligence (AI) for eliminating herding without any external control in complex resource allocation systems. In particular, we demonstrate that when agents are empowered with RL (e.g., the popular Q-learning algorithm in AI) in that they get familiar with the unknown game environment gradually and attempt to deliver the optimal actions to maximize the payoff, herding can effectively be eliminated. Furthermore, computations reveal the striking phenomenon that, regardless of the initial state, the system evolves persistently and relentlessly toward the optimal state in which all resources are used efficiently. However, the evolution process is not without interruptions: there are large fluctuations that occur but only intermittently in time. The statistical distribution of the time between two successive fluctuating events is found to depend on the parity of the evolution, i.e., whether the number of time steps in between is odd or even. We develop a physical analysis and derive mean-field equations to gain an understanding of these phenomena. Since AI is becoming increasingly widespread, we expect our RL empowered minority game system to have broad applications.

关键词： Collective dynamics Competition Self-organized systems Mean field theory

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Industrial DevOps

arXiv

引用

arXiv 2019年

作者： Hasselbring, Wilhelm Henning, Sören Latte, Björn Möbius, Armin Richter, Thomas Schalk, Stefan Wojcieszak, Maik Software Engineering Group Kiel University Department of Computer Science Kiel24098 Germany wobe-systems GmbH Wittland 2-4 Kiel24109 Germany IBAK Helmut Hunger GmbH & Co. KG Wehdenweg 122 Kiel24148 Germany Krause-Biagosch GmbH Paul-Schwarze-Straße 5 Bielefeld33649 Germany

—The visions and ideas of Industry 4.0 require a profound interconnection of machines, plants, and IT systems in industrial production environments. This significantly increases the importance of software, which is coincidentally one of the main obstacles to the introduction of Industry 4.0. Lack of experience and knowledge, high investment and maintenance costs, as well as uncertainty about future developments cause many small and medium-sized enterprises hesitating to adopt Industry 4.0 solutions. We propose Industrial DevOps as an approach to introduce methods and culture of DevOps into industrial production environments. The fundamental concept of this approach is a continuous process of operation, observation, and development of the entire production environment. This way, all stakeholders, systems, and data can thus be integrated via incremental steps and adjustments can be made quickly. Furthermore, we present the Titan software platform accompanied by a role model for integrating production environments with Industrial DevOps. In two initial industrial application scenarios, we address the challenges of energy management and predictive maintenance with the methods, organizational structures, and tools of Industrial DevOps. Copyright © 2019, The Authors. All rights reserved.

关键词： Industry 4.0

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Green Energy Sources: Issues and Challenges

Green Energy Sources: Issues and Challenges

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Roedunet International Conference (RoEduNet)

作者： Mostafa Abdulghafoor Mohammed Inas Adnan Mohammed Raed.A. Hasan Nicolae Ţăpuş Ahmed Hussien Ali Omar A. Hammood Faculty of Automatic Control and Computers University Polytechnic of Bucharest/Romania The Great Emam University College Baghdad University of Information Technology and Communications / college of Engineering/ Baghdad Iraq Faculty of Al-dour Technical institute Northern Technical University Mosel IRAQ Faculty of Automatic Control and Computers University Polytechnic of Bucharest/Romania Computer Science Department AL Salam University College Baghdad Iraq Faculty of Computer Systems and Software Engineering UniversityMalaysia Pahang Malaysia

Mobile offloading is a platform that facilitates the distribution of computationally intensive tasks from mobile devices to the cloud or other devices in order to conserve energy and improve performance. The concept is practically based on the idea of exchanging relatively low communication energy for high computation power utilization. Efforts have been channeled towards energy conservation by clusters using Dynamic Power Management (DPM). This paper is a review for green energy sources for reducing energy and using energy consumption to manage sources by stating the latest studies of energy consumption and energy consumptions.

关键词： Energy consumption Task analysis Servers Energy efficiency Power system management Voltage control Cloud computing

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Analysis of Food Pairing in Some Eastern Mediterranean Countries

Analysis of Food Pairing in Some Eastern Mediterranean Count...

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International Conference on computer science and Information Technology (CSIT)

作者： Lana Issa Firas Alghanim Nadim Obeid Department of Computer Science Princess Sumaya University for Technology Amman Jordan Department of Software Engineering Princess Sumaya University for Technology Amman Jordan Department of Computer Information Systems The University of Jordan Amman Jordan

ISBN: (纸本)9781538641538

Each nationality has their special culinary practice, which was built by many generations that formed the cultural and historical print of the regional cuisine. Furthermore, nearby regional cuisines tend to learn from each other either due to communication or migration. The geographical closure for Syria, Lebanon, Palestine and Jordan made their culinary practice and dishes very similar. In this paper, we study the recipes and culinary practice of these four countries and then test the hypotheses of the food pairings that represent the compatibility of every pair of ingredients by finding their shared flavor compounds. Our analysis is considered at cuisines level, recipes, ingredients, and ingredients pair's level. Our study brings up the special features in each cuisine, and explores the similarities and differences between these cuisines by studying their deep culinary details. Comparing the food pairing hypothesis with real life paired ingredients in these cuisines shows the cuisines real fingerprints and whether, or not, they are different from theories. The experimental results showed that the food pairing hypothesis has been confirmed for the cuisines of Jordan, Lebanon, Syria, and Palestine, which suggests that people in this area combine ingredients that have matching flavor compounds.

关键词： Compounds computer science Chemicals Art Statistical analysis Information technology Cultural differences

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