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检索条件"主题词=Programmable Logic Arrays"

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Supporting Decision Makers in Search-Based Product Line Architecture Design using Clustering

Supporting Decision Makers in Search-Based Product Line Arch...

引用

IEEE Annual International Computer Software and Applications Conference (COMPSAC)

作者： Willian Marques Freire Carlos Vinícius Bindewald Aline M. M. Miotto Amaral Thelma Elita Colanzi Informatics Department State University of Maringa (UEM) State University of Maringá Maringa Brazil

The Product Line Architecture (PLA) is one of the most important artifacts of a Software Product Line (SPL). PLA design can be formulated as an optimization problem with many factors. In this context, the MOA4PLA approach was proposed to optimize PLA design using search algorithms and metrics specific to the context. MOA4PLA treats the PLA design as a multi-objective optimization problem. At the end of the search process several PLA design alternatives are presented to the decision maker, difficulting the decision about which PLA alternative best fits with his/her needs. In this sense, this work proposes the usage of clustering algorithms to group PLAs design alternatives, according to their characteristics and assist the decision maker in the choice of one PLA design for the SPL. For this purpose, an empirical study was carried out, involving quantitative and qualitative experiments. Such an study integrated the K-Means++ and DBSCAN clustering algorithms in the MOA4PLA approach. The results of the experiments were promising, since an appropriate grouping of the solutions can be quantitatively observed, and also, qualitatively, the suitability of the solutions to the decision makers needs was verified.

关键词： programmable logic arrays Clustering algorithms Optimization Search problems Linear programming Computer architecture Software algorithms

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Performance Analysis Using Physical Layer Abstraction Modeling for 5G and beyond Waveforms

Performance Analysis Using Physical Layer Abstraction Modeli...

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2019 IEEE Global Communications Conference (GLOBECOM)

作者： Waqar Anwar Atul Kumar Norman Franchi Gerhard Fettweis Vodafone Chair Mobile Communications Systems Technische Universität Dresden Germany

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

Physical layer abstraction (PLA) is commonly used in system level evaluations to speed up simulations. The accuracy of such evaluations highly depends on the modelling of PLA. Therefore, the main objective of this paper is to model and evaluate the performance of 5G and beyond (5GB) waveforms using PLA techniques. In the existing literature, PLA techniques were mainly used for orthogonal frequency division multiplexing (OFDM), which is commonly used to improve the performance under frequency selective fading. However, it suffers from high peak to average power ratio (PAPR). Therefore, to overcome this, DFT-spread- OFDM (DFT-s-OFDM) is used for uplink communication in the LTE/NR. In future use cases such as vehicle-to-everything (V2X), where high mobility is involved, inter-carrier interference becomes a bottleneck for above waveforms. Therefore, new waveforms are being proposed such as orthogonal time frequency space (OTFS). In the OTFS, data symbols are localized in delay-Doppler domain, and hence delay-Doppler channel impairments (due to mobility) can be easily compensated. To evaluate and compare the performance of above waveforms, we proposed waveforms specific PLA techniques. The proposed PLA techniques are validated though full PHY simulations, and used to compare the performance of different waveforms under frequency selective and doubly selective channels.

关键词： OFDM Interference Signal to noise ratio Fading channels programmable logic arrays Modulation Adaptation models

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A biodegradable microneedles – trapezoidal micropatterned patch in the LED therapy

A biodegradable microneedles – trapezoidal micropatterned p...

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IEEE VLSI Packaging Workshop of Japan, VPWJ

作者： Xiaobin Wu Nobuyuki Takama Beomjoon Kim Institute of Industrial Science The University of Tokyo Tokyo Japan

LED therapy has been widely used in skin troubles care and cosmetic procedures due to the profound benefits as non-invasive, drug-free and being administered only act on lesion region but not injure other tissues. However, due to the limited penetration depth in skin tissues, safe and effective LED therapy is challenging when the expected photon passes through the epidermis to reach the target lesion region. Therefore, in this study, we proposed a biodegradable light-guide plate combining microneedles and trapezoidal micropatterned patch (MTMP) as the light assist device to improve light therapy transmission efficiency. It is also expected that this flexible light-assisted device can be used in a slim and portable light therapy system.

关键词： Medical treatment Skin programmable logic arrays Light emitting diodes Biomedical optical imaging Optical device fabrication

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A Contract-Stackelberg Offloading Incentive Mechanism for Vehicular Parked-Edge Computing Networks

A Contract-Stackelberg Offloading Incentive Mechanism for Ve...

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IEEE Conference on Vehicular Technology (VTC)

作者： Yuwei Li Bo Yang Zhijie Chen Cailian Chen Xinping Guan Department of Automation Shanghai Jiao Tong University Shanghai China Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China

With the development of smart vehicles and computation-intensive vehicular applications, it is a challenge to maintain high performance for vehicles with scarce local computational resources. Mobile Edge Computing (MEC) is a computing paradigm with high potential to improve vehicular services by offloading computation-intensive tasks to the MEC servers. However, as the computational resources of MEC servers are limited, parking lots (PLs) having abundant idle computational resources should be utilized. We introduce a new computing paradigm, named by Vehicular Parked-Edge Computing (VPEC). We formulate a three-stage contract-stackelberg offloading incentive mechanism to describe this problem. The PLs are classified into different types according to their idle computational resources, and parking lot agent (PLA) offers different contracts to different types of PLs. The optimal problem is designed to maximize the utilities of vehicles, operator and PLA. We use backward induction method to solve this three-stage problem, and give the closed-form expressions of the optimal strategies for each stage. Simulation results demonstrate the feasibility of the proposed incentive mechanism and reveal the changing trend of optimal strategies in each stage when traffic density changes.

关键词： programmable logic arrays Contracts Task analysis Servers Optimization Integrated circuits Frequency modulation

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3D-Printed and PDLC-Tuned Corner Cube RetroReflector for Sunlight Communication

3D-Printed and PDLC-Tuned Corner Cube RetroReflector for Sun...

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IEEE/LEOS International Conference on Optical MEMS

作者： Kai-Ying Lai Wei-Ting Chen You-Hsin Wu Yu-Fan Chen Jui-che Tsai Graduate Institute of Photonics and Optoelectronics and Department of Electrical Engineering National Taiwan University Taipei Taiwan

We present a 3D-printed corner cube retroreflector which is tunable through the polymer dispersed liquid crystal (PDLC). Distinguishable on-off states have been demonstrated by adjusting the voltage across the PDLC layer. This device is developed for free-space optical communication, especially of outdoor applications where sunlight can be used as the light source.

关键词： Optical reflection Light sources Optical device fabrication programmable logic arrays Glass Surface treatment Optical saturation

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Cooperative Positioning via Weighted Parallel Projection for Wireless Sensor Networks

Cooperative Positioning via Weighted Parallel Projection for...

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International Conference on Communication Technology (ICCT)

作者： Tianwei Liu Shiwei Tian Guangxia Li Lu Lu Yuyang Tian Weiheng Dai Institute of Communications Engineering Army Engineering University of PLA NanjingM China

Iterative parallel projection method (IPPM) has been proven to have high positioning accuracy and robust convergence for cooperative positioning. The objective function of IPPM has a weighted expression and the weights can be assigned according to the range measurements. However, the algorithm will be unable to converge with the classical weight assignment rules, due to the existence of the agents' position uncertainty (also known as covariance). In this paper, we propose a novel weighted approach for IPPM in wireless sensor networks, named covariance propagation based weighted iterative parallel projection method (CPW-IPPM). The uncertainty corresponding to the estimated positions of cooperative agents are approximated as additional equivalent ranging noise and the weights will then be assigned based on the equivalent noise variances. Through simulations, we demonstrate that the proposed CPW-IPPM has much more efficient convergence with better positioning accuracy than IPPM and other algorithms.

关键词： Peer-to-peer computing Distance measurement Iterative methods Position measurement programmable logic arrays Uncertainty Wireless sensor networks

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Experimental Study on Machine Learning with Approximation to Data Streams

Experimental Study on Machine Learning with Approximation to...

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International Conference on Internet of Things: Systems, Management and Security

作者： Zhang Fu Jiani Jiang Ericsson Research Sweden Royal Institute of Technology (KTH) Sweden

ISBN: (纸本)9781728129501

Realtime transferring of data streams enables many data analytics and machine learning applications in the areas of e.g. massive IoT and industrial automation. Big data volume of those streams is a significant burden or overhead not only to the transportation network, but also to the corresponding application servers. Therefore, researchers and scientists focus on reducing the amount of data needed to be transferred via data compressions and approximations. However, how to do data compression and approximation is highly dependent on the corresponding applications. In this paper, we did a study on the impact of data approximation to the machine learning applications. In particular, from the experimental perspective, we show the tradeoff among the approximation error bound, compression ratio and the prediction accuracy of multiple machine learning methods. We believe that, with proper choice, data approximation can dramatically reduce the amount of data transferred with limited impact on the machine learning applications.

关键词： Machine learning programmable logic arrays Time series analysis Logistics Data compression Temperature sensors Linear regression

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An Attention-Based Deep learning Situation Information Recommendation Model

An Attention-Based Deep learning Situation Information Recom...

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International Conference on Information Systems and Computer Aided Education (ICISCAE)

作者： Zhou Chunhua Guo Xiaofeng Shen Yue Li Yan Zhou Zhenyu Department of Information Operations Command PLA Strategic Support Force Information Engineering University PLA SSF IEU Zhengzhou China Department of Electronic and Information Engineering Henan Geology Mineral College Zhengzhou China

ISBN: (数字)9781728130668

ISBN: (纸本)9781728130675

Massive battlefield data, fast combat rhythm and complex combat system pose great challenges to commanders' limited cognitive ability. While increasing available information and enhancing situational awareness, it will also lead to information overload, which will seriously interfere with commanders' extraction and effective utilization of useful information. This paper puts forward a deep-learning situation information recommendation model based on attention mechanism in view of overload of situation information. It introduces a double-layer attention mechanism, and uses a multi-layer neural network to learn the attention weights at item-level and component-level respectively in order to explore the potential relationship between commander and situation information, build a commander preference prediction model and realize personalized recommendation.

关键词： Machine learning Predictive models Neural networks Data models Decision making programmable logic arrays Filtering

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Machine Learning-based Physical Layer Authentication using Neighborhood Component Analysis in MIMO Wireless Communications

Machine Learning-based Physical Layer Authentication using N...

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International Conference on Information and Communication Technology Convergence (ICTC)

作者： Jiseok Yoon Younggu Lee Euiseok Hwang School of Mechatronics Gwangju Inst. Sci. & Tech Gwangju South Korea Research Inst. Solar & Sustainable Energies Gwangju Inst. Sci. & Tech Gwangju South Korea

This paper proposes a machine learning (ML)-based physical layer authentication scheme in the multi-input multi-output (MIMO) wireless communication environment. In the proposed scheme, a neighborhood component analysis(NCA) based feature selection method is imployed to improve authentication performance. In particular, NCA based selection mitigates performance degradation even in the worst case scenario, where an intruder replaces the legitimate transmitter by using the feature selection. The selected features are classified using a radial basis function (RBF) kernel-based support vector machine (SVM). Through simulation results, it is shown that the proposed scheme obtains better authentication performance compared to the conventional approaches. Furthermore, it can achieve the average of area under the receiver operating characteristic curve of 0.9965 or higher even for worst cases of authentication scenarios.

关键词： Authentication Feature extraction programmable logic arrays Training Transmitters Support vector machines Receivers

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Projective Weight-based Unsupervised Laplacian Graph Learning for Person Re-identification 5

Projective Weight-based Unsupervised Laplacian Graph Learnin...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Gao, Bin Zhao, Li Lan, Peng Sun, Fenggang Yu, Zhanke Pang, Xiumei Southeast Univ Minist Educ Key Lab Underwater Acoust Signal Proc Nanjing Jiangsu Peoples R China Shandong Agr Univ Coll Informat Sci & Engn Tai An Shandong Peoples R China PLA Army Engn Univ Coll Commun Engn Nanjing Jiangsu Peoples R China PLA Army Engn Univ Dept Fundamental Res Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781538663011

For unsupervised person re-identification, traditional Laplacian regularisation based dictionary learning methods encounter the fixed weight problem and thus impair the match rate. To address this limitation, we develop a novel unsupervised dictionary learning approach to learn a discriminative representation. The proposed approach takes the efficiency of l(2) graph regularization with a closed-form solution into account. Our approaches achieve very promising results on the challenging VIPeR dataset.

关键词： Machine learning Laplace equations Electronic mail Closed-form solutions Conferences programmable logic arrays Signal processing algorithms"

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