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ERAS-NETS: An Efficient Resource Allocation Scheme-based Nonlinear Energy Harvesting Timeslot Switching

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ERAS-NETS: An Efficient Resource Allocation Scheme-based Non...

IEEE International Conference on engineering Technologies and Applied Sciences (ICETAS)

作者： Nivine Guler Ali Gunes Department of Informatics Engineering University of Technology Bahrain Kingdom of Bahrain Department of Computer Engineering Istanbul Aydin University Turkey

In this paper, an efficient resource allocation scheme-based nonlinear energy harvesting (EH) Timeslot switching (TS) for single-input-single-output (SISO) SWIPT systems-(ERAS-NETS) is presented. The energy saturation characteristic is considered in the EH model where point-to-point (P2P) single-input single-output (P2P-SISO) SWIPT system is studied. Harvesting energy is based on Timeslot switching (TS) aiming at optimizing the average data rate where the TS ratio is a binary value (0 or 1). Hence, the problem is a nonconvex optimization problem because of the binary factor of the TS ratio. The optimization problem is solved using the Lagrange dual theorem that states that the optimal values of the Primal (P) and Dual (D) linear problem are the same if either solution is a basic feasible solution. Accordingly, the derivation of the optimal solution helps receiver to switch either to EH or information decoding (ID) based on the SNR value. Hence, the receiver will switch to EH in the districts having medium values of SNR, otherwise, the receiver will switch to ID in districts having SNR less than 5 dB or more than 25 dB. Different network performance metrics were considered in evaluating the proposed ERAS-NETS scheme in comparison with traditional state-in-the-art TS resource allocation schemes such as transmission power, distance between source and destination, pathloss exponent, and minimum required harvested energy. Simulations showed that ERAS-NETS improves energy efficiency with respect to different transmission power by 20%, 10%, and 3 % for high SNR, medium SNR, and low SNR districts, respectively. Improvement with respect to average energy efficiency versus other system performance metrics has also been noted for the proposed scheme.

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PREDICTING FROM A DIFFERENT PERSPECTIVE IN RE-RANKING MODEL FOR INDUCTIVE KNOWLEDGE GRAPH COMPLETION

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arXiv 2024年

作者： Iwamoto, Yuki Kaneiwa, Ken Department of Computer Network Engineering Graduate School of Informatics and Engineering The University of Electro-Communications Tokyo Japan

Rule-induction models have demonstrated great power in the inductive setting of knowledge graph completion. In this setting, the models are tested on a knowledge graph entirely composed of unseen entities. These models learn relation patterns as rules by utilizing subgraphs. Providing the same inputs with different rules leads to differences in the model’s predictions. In this paper, we focus on the behavior of such models. We propose a re-ranking-based model called ReDistLP (Re-ranking with a Distinct Model for Link Prediction). This model enhances the effectiveness of re-ranking by leveraging the difference in the predictions between the initial retriever and the re-ranker. ReDistLP outperforms the state-of-the-art methods in 2 out of 3 benchmarks. Copyright © 2024, The Authors. All rights reserved.

关键词： Knowledge graph

Affine Coordinate Binary Edwards Curve Scalar Multiplier with Side Channel Attack Resistance

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Affine Coordinate Binary Edwards Curve Scalar Multiplier wit...

Euromicro Symposium on Digital System Design

作者： Apostolos P. Fournaris Odysseas Koufopavlou Electrical and Computer Engineering Department University of Patras Patra Greece Computer Informatics Engineering Department Technological Educational Institute of Western Greece Patra Greece

Taking into account the high regularity and completeness of Binary Edwards Curves (BEC), BEC point operation efficient implementation in hardware becomes a need especially since such curves tend to be more resistant against side channel attacks than the classical Weierstrass Elliptic Curves. However, BECs require more GF(2k) operations for a single scalar multiplication. This constitutes a deterring factor for their wide adoption and standardization. In this paper, a design methodology, hardware architecture and implementation is proposed on the efficient implementation of BEC scalar multiplication accelerators. To achieve that, a parallelism approach is introduced on affine coordinate representation BECs supporting fast GF(2k) inversion through a GF(2k) inversion algorithm capable of realizing also GF(2k) multiplication. The resulting architecture using 4 parallel operating GF(2k) arithmetic units when implemented in FPGA technology provide better results than similar Weierstrass Curves following parallelism techniques, indicated that BECs support parallelism better than their Weierstrass equivalent.

关键词： Algorithm design and analysis Clocks Hardware Resistance Registers Polynomials Parallel processing

A supervisory control algorithm based on property-directed reachability

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arXiv 2017年

作者： Claessen, Koen Kilhamn, Jonatan Kovács, Laura Lennartson, Bengt Department of Computer Science and Engineering Department of Electrical Engineering Chalmers University of Technology Faculty of Informatics Vienna University of Technology

We present an algorithm for synthesising a controller (supervisor) for a discrete event system (DES) based on the property-directed reachability (PDR) model checking algorithm. The discrete event systems framework is useful in both software, automation and manufacturing, as problems from those domains can be modelled as discrete supervisory control problems. As a formal framework, DES is also similar to domains for which the field of formal methods for computer science has developed techniques and tools. In this paper, we attempt to marry the two by adapting PDR to the problem of controller synthesis. The resulting algorithm takes as input a transition system with forbidden states and uncontrollable transitions, and synthesises a safe and minimally-restrictive controller, correct-by-design. We also present an implementation along with experimental results, showing that the algorithm has potential as a part of the solution to the greater effort of formal supervisory controller synthesis and *** Codes 68-02 Copyright © 2017, The Authors. All rights reserved.

关键词： Discrete event simulation

ASTRAEA: A decentralized blockchain oracle

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arXiv 2018年

作者： Adler, John Berryhill, Ryan Veneris, Andreas Poulos, Zissis Veira, Neil Kastania, Anastasia Department of Electrical and Computer Engineering University of Toronto Department of Computer Science University of Toronto Department of Informatics Athens University of Economics and Business

The public blockchain was originally conceived to process monetary transactions in a peer-to-peer network while preventing double-spending. It has since been extended to numerous other applications including execution of programs that exist on the blockchain called "smart contracts." Smart contracts have a major limitation, namely they only operate on data that is on the blockchain. Trusted entities called oracles attest to external data in order to bring it onto the blockchain but they do so without the robust security guarantees that blockchains generally provide. This has the potential to turn oracles into centralized points-of-failure. To address this concern, this paper introduces ASTRAEA, a decentralized oracle based on a voting game that decides the truth or falsity of propositions. Players fall into two roles: Voters and certifiers. Voters play a low-risk/low-reward role that is resistant to adversarial manipulation while certifiers play a high-risk/high-reward role so they are required to play with a high degree of accuracy. This paper also presents a formal analysis of the parameters behind the system to measure the probability of an adversary with bounded funds being able to successfully manipulate the oracle's decision, that shows that the same parameters can be set to make manipulation arbitrarily difficult-a desirable feature for the system. Further, this analysis demonstrates that under those conditions a Nash equilibrium exists where all rational players are forced to behave honestly. Copyright © 2018, The Authors. All rights reserved.

关键词： Blockchain

Full-Coverage Web Prediction based on Web Usage Mining and Site Topology 04

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Full-Coverage Web Prediction based on Web Usage Mining and S...

IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： D. Oikonomopoulou M. Rigou S. Sirmakessis A. Tsakalidis Computer Engineering and Informatics Department University of Patras Greece Research Academic Computer Technology Institute Patras Greece

ISBN: (纸本)9780769521008

Understanding and modeling user online behavior, as well as predicting future requests remain an open challenge for researchers, analysts and marketers. In this paper, we propose an efficient prediction schema based on the extraction of sequential navigation patterns from server log files, combined with web site topology. Traversed paths are monitored, internally recorded and cleaned before being completed with cashed page views. After session and episode identification follows the construction of n-grams. Prediction is based upon a 5 + n-gram schema with all lower level n-grams participating, a procedure that resembles the construction of an All 5th-order Markov Model. The schema achieves full coverage while maintaining competitive prediction precision.

关键词： Topology Predictive models Data mining Navigation Association rules Prefetching Accuracy informatics File servers Monitoring

Comparison of Influenza Disease Prediction Using ARIMA and LSTM Models for Central Taiwan 10th

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Comparison of Influenza Disease Prediction Using ARIMA and L...

10th International Conference on Frontier Computing, FC 2020

作者： Nguyen, Kieu Lan Phuong Chen, Ho-Wen Yang, Chao-Tung Kristiani, Endah Department of Environmental Science and Engineering Tunghai University Taichung City407302 Taiwan Nguyen Tat Thanh University Ho Chi Minh City70000 Viet Nam Department of Computer Science Tunghai University Taichung City407302 Taiwan Department of Industrial Engineering and Enterprise Information Tunghai University Taichung City407302 Taiwan Department of Informatics Faculty of Engineering and Computer Science Krida Wacana Christian University Jakarta11470 Indonesia

ISBN: (纸本)9789811601149

The spreading infectious diseases could be a serious problem for the society, such as COVID-19 pandemic recently. The need to monitor the trend of the disease is crucial to prevent the disease transmission. In this paper, we propose prediction models for influenza trends using ARIMA and LSTM based on air quality dataset training operation. The study seeks to compare the prediction between ARIMA and LSTM in three areas of central Taiwan, i.e., Changhua County, Taichung City, and Nantou County between 2014 and 2018. The prediction of ARIMA relies only on five-year time series dataset of air pollutants and meteorological conditions, meanwhile there are three types of LSTM models related to feature selection technique. One of the LSTM models does not apply feature selection, and the two other LSTM models using matrix correlation and extra trees classifier to select the top five most important factors to conduct training operation. As a result, the experiment demonstrated that the LSTM models outperform ARIMA in terms of model performance in all three areas. Among three LSTM models, LSTM ETC achieved the lowest RMSE value indicating the highest accuracy. The RMSE value of influenza prediction in Taichung is substantially higher than that in Changhua and Nantou. However, LSTM ETC result obtained the highest accuracy improvement (73%) when comparing to ARIMA outcome. Therefore, implementing the LSTM models for prediction of influenza and another disease could be adopted for early detection as well as reduction of disease transmission. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Forecasting

DATASET: IMPACT EVENTS FOR STRUCTURAL HEALTH MONITORING OF A THIN PLATE

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arXiv 2022年

作者： Katsidimas, Ioannis Kotzakolios, Thanasis Nikoletseas, Sotiris Panagiotou, Stefanos H. Timpilis, Konstantinos Tsakonas, Constantinos Computer Engineering and Informatics Department University of Patras Greece Mechanical Engineering and Aeronautics Department University of Patras Greece Greece

Nowadays, more and more datasets are published towards research and development of systems and models, enabling direct comparisons, continuous improvement of solutions, and researchers engagement with experimental, real life data. However, especially in the Structural Health Monitoring (SHM) domain, there are plenty of cases where new research projects have a unique combination of structure design and implementation, sensor selection and technological enablers that does not fit with the configuration of relevant individual studies in the literature. Thus, we share the data from our case study to the research community as we did not find any relevant repository available. More specifically, in this paper, we present a novel time-series dataset for impact detection and localization on a plastic thin-plate, towards Structural Health Monitoring applications, using ceramic piezoelectric transducers (PZTs) connected to an Internet of Things (IoT) device. The dataset was collected from an experimental procedure of low-velocity, low-energy impact events that includes at least 3 repetitions for each unique experiment, while the input measurements come from 4 PZT sensors placed at the corners of the plate. For each repetition and sensor, 5000 values are stored with 100 KHz sampling rate. The system is excited with a steel ball, and the height from which it is released varies from 10 cm to 20 cm. The dataset is available in GitHub (https://***/Smart-Objects/Impact-Events-Dataset). © 2022, CC BY-NC-SA.

关键词： Structural health monitoring

An Efficient Power Constrained Transmission Scheme for Hybrid OW/RF Systems

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An Efficient Power Constrained Transmission Scheme for Hybri...

IEEE International Conference on Communications

作者： Nestor D. Chatzidiamantis Leonidas Georgiadis Harilaos G. Sandalidis George K. Karagiannidis Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Greece Department of Computer Science and Biomedical Informatics University of Thessaly Greece

This paper investigates link layer transmission schemes for hybrid optical wireless (OW)/radio frequency (RF) systems with constraints on both per-link and total power consumption at the transmitter. Assuming timeslot structure and using a queue for storing the random data packet arrivals, we formulate a stochastic optimization problem where intelligent control decisions are taken by the hybrid transmitter in each slot, regarding the number of the packets admitted in its queue and the power levels used in each link. The aim of this formulation is to design a control policy that maximizes the transmitter throughput, while satisfying its power constraints as well. A solution is offered by using the Lyapunov optimization framework. An on-line transmission algorithm is derived, which takes control decisions based only on the status of the transmitter queue and the erasure probabilities of the OW and RF links. The proposed algorithm meets the desired throughput objective by efficiently exploiting both links, while provides explicit power consumption guarantees.

关键词： Radio frequency Optical transmitters Hybrid power systems Optimization Throughput Resource management Meteorology