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International Conference on Services computing

作者： Yau, Stephen S. Yin, Yin Information Assurance Center School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ United States

ISBN: (纸本)9780769544625

To facilitate rapid development of service-based systems (SBS), many service discovering and matching techniques have been developed to find services according to users' functionality requirements. However, users usually also have requirements on non-functional qualities of services (QoS), such as throughput, delay, reliability and security, which are also critical for the success of SBS. In this paper, a QoS-based service ranking and selection approach is presented to help users to select the service that best satisfies users' QoS requirements from a set of services having already satisfied users' functionality requirements. To determine how well a service satisfies users' concerned QoS requirements, a set of functions is presented to normalize services' QoS on various QoS aspects with different metrics and scales, compute services' satisfaction scores on each QoS aspect, and combine each services' satisfaction scores on all QoS aspects together as an overall satisfaction scores. Compared with existing service ranking and selection techniques, our approach has the following advantages: 1) selects the service that best satisfies users QoS requirements instead of the service with the best QoS which may be much overqualified for the users' QoS requirements, 2) improves the flexibility in users' QoS requirement specification, and 3) uses the prospect theory to more accurately model the relation between services' QoS and their satisfaction scores. © 2011 IEEE.

关键词： Quality of service

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Adaptive Time Slot Resource Allocation in SWIPT IoT Networks

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Computer Modeling in Engineering & Sciences 2023年第9期136卷 2787-2813页

作者： Yunong Yang Yuexia Zhang Zhihai Zhuo Key Laboratory of Information and Communication Systems Ministry of Information IndustryBeijing Information Science and Technology UniversityBeijing100101China Key Laboratory of ModernMeasurement&Control Technology Ministry of EducationBeijing Information Science&Technology UniversityBeijing100101China Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Beijing100101China

The rapid advancement of Internet of Things(IoT)technology has brought convenience to people’s lives;however further development of IoT faces serious challenges,such as limited energy and shortage of network spectrum *** address the above challenges,this study proposes a simultaneous wireless information and power transfer IoT adaptive time slot resource allocation(SIATS)***,an adaptive time slot consisting of periods for sensing,information transmission,and energy harvesting is designed to ensure that the minimum energy harvesting requirement ismet while the maximumuplink and downlink throughputs are ***,the optimal transmit power and channel assignment of the system are obtained using the Lagrangian dual and gradient descent methods,and the optimal time slot assignment is determined for each IoT device such that the sum of the throughput of all devices is *** results show that the SIATS algorithm performs satisfactorily and provides an increase in the throughput by up to 14.4%compared with that of the fixed time slot allocation(FTS)*** the case of a large noise variance,the SIATS algorithm has good noise immunity,and the total throughput of the IoT devices obtained using the SIATS algorithm can be improved by up to 34.7%compared with that obtained using the FTS algorithm.

关键词： Internet of Things simultaneous wireless information and power transfer adaptive time slot resource allocation

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Performance evaluation of the scalable-CAN integrated in-vehicle network

Performance evaluation of the scalable-CAN integrated in-veh...

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SAE 2013 World Congress and Exhibition

作者： Kurachi, Ryo Chen, Yang Takada, Hiroaki Nishimura, Masanobu Horihata, Satoshi Nakajima, Tatsuya Center for Embedded Computing Systems Graduate School of Information Science Nagoya University Japan AutoNetworks Technologies Ltd. Japan

Today, the Controller Area Network (CAN) is a widely used in-vehicle network. However, due to the constraint of the theoretical upper bound speed of CAN, we proposed Scalable-CAN (SCAN), which employs round-robin scheduling to improve upper bound speed while keeping the compatibility with traditional CAN. Moreover, we proposed the worst-case response time (WCRT) analysis for a single SCAN bus system and showed the real-time performance. In this paper, to apply SCAN to a next-generation in-vehicle network composed of a SCAN bus and a CAN bus, we first propose a schedulability analysis method for the integrated network system. Second, we show its real-time performance and highlight the effects of the bandwidth extension and throughput performance of the SCAN integrated system. Finally, we conclude that SCAN achieves lower latency, high schedulability, and high integrity toward a next-generation in-vehicle network. Copyright © 2013 SAE International.

关键词： Control system synthesis

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Designing the Built-In Microcontroller Control systems of Executive Robotic Devices Using the Digital Twins Technology 4

Designing the Built-In Microcontroller Control Systems of Ex...

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4th International Conference on information Management and Technology, ICIMTech 2019

作者： Vassiliev, Alexei Samarin, Vasili Raskin, Denis Evseev, Evgeny Veris, Victoria Peschinski, Igor Cabezas, Diego Kurniawan, Yohannes Interdepartamental Center 'Embedded Systems of Automation and Computing' Peter the Great St. Petersburg Polytechnic University St.-Petersburg Russia Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9781728133331

The article presents approaches to the development of robotic systems based on the use of virtual prototypes, known as digital twins. Also, usage of such systems for walking robotic mechanisms are demonstrated by the example of developing an experimental debugging platform that supports both the design of algorithms for robot behavior at the upper level of the control hierarchy and the design of control algorithms for its nodes at the lower level. Authors used different basic tooling systems integrated with each other through cross-platform tools, such as Gazebo, V-Rep, IAR Embedded Workbench, Quartus, Fuzzy51 and several others. © 2019 IEEE.

关键词： Robotics

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A new nano-scale authentication architecture for improving the security of human-computer interaction systems based on quantum computing

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Analog Integrated Circuits and Signal Processing 2025年第1期124卷 1-15页

作者： Ahmadpour, Seyed-Sajad Zohaib, Muhammad Navimipour, Nima Jafari Misra, Neeraj Kumar Rasmi, Hadi Salahov, Huseyn Avval, Danial Bakhshayeshi Navin, Ahmad Habibizad Hosseinzadeh, Mehdi Department of Computer Engineering Faculty of Engineering and Natural Sciences Kadir Has University Turkiye Istanbul Turkey Department of Electrical and Electronics Engineering Faculty of Engineering and Natural Sciences Kadir Has University Istanbul Turkey Future Technology Research Center National Yunlin University of Science and Technology Yunlin Douliou64002 Taiwan School of Electronics Engineering VIT-AP University Andhra Pradesh Amaravathi522237 India Department of Computer Engineering Dezful Branch Islamic Azad University Dezful Iran Department of Information Systems Engineering Sakarya University Türkiye Sakarya Turkey Department of Computer Engineering Tabriz Branch Islamic Azad University Tabriz*** Iran Pattern Recognition and Machine Learning Laboratory School of Computing Gachon University Seongnam Korea Republic of

Human-Computer Interaction (HCI) is an interdisciplinary area of study focusing on the interaction of users and computers by scheming interactive computer interfaces. In addition, HCI systems need security to confirm user authentication, which is a crucial issue in these systems. Hence, user authentication is vital, allowing only authorized users to access data. Authentication is critical to the digital world since it provides security and safety for digital data. Moreover, a digital signature is an authentication method to confirm the accuracy and reliability of digital documents or communications. In addition, designing the circuit based on the complementary metal-oxide semiconductor (CMOS) technology can affect the security and safety of digital data due to the excessive heat dissipation of circuits. On the other hand, quantum-dot cellular automata (QCA) and reversible logic as alternative technologies to CMOS address these problems. Since QCA and reversible logic circuits have minimal energy dissipation, which is considered nearly zero, approaching these technologies proves extremely difficult for any hacker. This work presents an effective structure for the authenticator and human-computer interaction using QCA and IBM quantum computing with Qiskit simulations. The proposed structure has outperformed current circuits in terms of area, cell count, and latency. The paper demonstrates the QCA reversible logic layout of the proposed HCI authenticator and integrates IBM quantum computing simulations using Qiskit for validation. The implementation and testing of results are performed utilizing QCADesigner-2.0.3 and Qiskit simulation tools. The accuracy and efficiency of the proposed design are validated through simulation-derived comparison values, and energy dissipation simulations prove that the suggested circuit dissipates minimal energy. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Qubits

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Common substructure extraction of proteins by geometric invariants

Common substructure extraction of proteins by geometric inva...

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10th International Conference on Computer-Aided Design and Computer Graphics

作者： Xu, Dong Li, Hua Gu, Tongjun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences National Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy of Sciences Center for Systems Biology Institute of Biophysics Chinese Academy of Sciences Graduate University Chinese Academy of Sciences

ISBN: (纸本)9781424415786

Structure alignment could help to find shape similarities between proteins and guide structure classification and fold recognition. Common substructure detection and extraction are especially important, for which could guide the biologist to discover binding site or active site. We represent each segment of alpha-carbon backbone by using dihedral angles and curve moment invariants. Then, local and global structure alignment could be performed by iterative closest point algorithm. Maximum common substructures between a pair of proteins or within a protein could be found. Active sites also could be detected by the proposed algorithm.

关键词： Proteins

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Context-aware prediction of derivational word-forms 15

Context-aware prediction of derivational word-forms

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15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017

作者： Vylomova, Ekaterina Cotterell, Ryan Baldwin, Timothy Cohn, Trevor Department of Computing and Information Systems University of Melbourne Australia Center for Language and Speech Processing Johns Hopkins University United States

ISBN: (纸本)9781510838604

Derivational morphology is a fundamental and complex characteristic of language. In this paper we propose the new task of predicting the derivational form of a given base-form lemma that is appropriate for a given context. We present an encoder- decoder style neural network to produce a derived form character-by-character, based on its corresponding character-level representation of the base form and the context. We demonstrate that our model is able to generate valid context-sensitive derivations from known base forms, but is less accurate under a lexicon agnostic setting. © 2017 Association for Computational Linguistics.

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Optimal Logistics Activities Based Deep Learning Enabled Traffic Flow Prediction Model

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Computers, Materials & Continua 2022年第12期73卷 5269-5282页

作者： Basim Aljabhan Mahmoud Ragab Sultanah M.Alshammari Abdullah S.Al-Malaise Al-Ghamdi Ports and Maritime Transportation Department Faculty of Maritime StudiesKing Abdulaziz UniversityJeddah21589Saudi Arabia Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mathematics Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Center of Excellence in Smart Environment Research King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Information Systems Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia S 7Information Systems Department HECI SchoolDar Alhekma UniversityJeddahSaudi Arabia

Traffic flow prediction becomes an essential process for intelligent transportation systems(ITS).Though traffic sensor devices are manually controllable,traffic flow data with distinct length,uneven sampling,and missing data finds challenging for effective *** traffic data has been considerably increased in recent times which cannot be handled by traditional mathematical *** recent developments of statistic and deep learning(DL)models pave a way for the effectual design of traffic flow prediction(TFP)*** this view,this study designs optimal attentionbased deep learning with statistical analysis for TFP(OADLSA-TFP)*** presentedOADLSA-TFP model intends to effectually forecast the level of traffic in the *** attain this,the OADLSA-TFP model employs attention-based bidirectional long short-term memory(ABLSTM)model for predicting traffic *** order to enhance the performance of the ABLSTM model,the hyperparameter optimization process is performed using artificial fish swarm algorithm(AFSA).A wide-ranging experimental analysis is carried out on benchmark dataset and the obtained values reported the enhancements of the OADLSA-TFP model over the recent approaches mean square error(MSE),root mean square error(RMSE),and mean absolute percentage error(MAPE)of 120.342%,10.970%,and 8.146%respectively.

关键词： Traffic flow prediction deep learning artificial fish swarm algorithm mass gatherings statistical analysis logistics

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Paradigm completion for derivational morphology

Paradigm completion for derivational morphology

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2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017

作者： Cotterell, Ryan Vylomova, Ekaterina Khayrallah, Huda Kirov, Christo Yarowsky, David Center for Language and Speech Processing Johns Hopkins University United States Department of Computing and Information Systems University of Melbourne Australia

ISBN: (纸本)9781945626838

The generation of complex derived word forms has been an overlooked problem in NLP;we fill this gap by applying neural sequence-to-sequence models to the task. We overview the theoretical motivation for a paradigmatic treatment of derivational morphology, and introduce the task of derivational paradigm completion as a parallel to inflectional paradigm completion. State-of-the-art neural models, adapted from the inflection task, are able to learn a range of derivation patterns, and outperform a non-neural baseline by 16.4%. However, due to semantic, historical, and lexical considerations involved in derivational morphology, future work will be needed to achieve performance parity with inflection-generating systems. © 2017 Association for Computational Linguistics.

关键词： Morphology

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Teaching information Security Management in Postgraduate Tertiary Education: The Case of Horizon Automotive Industries 31

Teaching Information Security Management in Postgraduate Ter...

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31st Australasian Conference on information systems, ACIS 2019

作者： Ahmad, Atif Maynard, Sean B. Motahhir, Sameen School of Computing and Information Systems The University of Melbourne ParkvilleVIC Australia Center for Digital Humanities Department of Languages and Linguistics Information Technology University Lahore Pakistan

Teaching cases based on stories about real organizations are a powerful means of storytelling. These cases closely parallel real-world situations and can deliver on pedagogical objectives as writers can use their creative license to craft a storyline that better focuses on the specific principles, concepts, and challenges they want to address in their teaching. The method instigates critical discussion, draws out relevant experiences from students, encourages questioning of accepted practices, and creates dialogue between theory and practice We present ‘Horizon’, a case study of a firm that suffers a catastrophic incident of Intellectual Property (IP) theft. The case study was developed to teach information security management (ISM) principles in key areas such as strategy, risk, policy and training to postgraduate information systems and information Technology students at the University of Melbourne, Australia. © 2020 Ahmad, Maynard & Motahhir.

关键词： Risk management

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