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9th International Conference on Mobile Wireless Middleware, Operating Systems and Applications, MOBILWARE 2020

作者： Yuan, Zhilu Tang, Shengjun Huang, Qiuyang Zhang, Chijun Ertem, Zeynep Du, Zhanwei Bai, Yuan Research Institute for Smart Cities and Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services School of Architecture and Urban Planning Shenzhen University Shenzhen China College of Computer Science and Technology Jilin University Changchun130012 China School of Management Science and Information Engineering Jilin University of Finance and Economics Changchun130117 China Marshall School of Business The University of Southerm California California United States Key Laboratory of Urban Land Resources Monitoring and Simulation MNR Shenzhen China

ISBN: (纸本)9783030622046

Recently, global epidemic models that uses climatological factors have been shown to explain influenza activities for both temperate and tropical regions. In this paper, we extend these global models by including interactions of climatological factors. We find that countries in Europe and Australia have higher forecast skill, indicating the stronger relationship of influenza with climatological factors, than regions in other continents. The influenza activities of 47 (83%) countries can be explained with a closer match using multi-factor interactions along with original factors than only using the original factors. © 2020, ICST institute for computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Tropics

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ecUWB: A Energy-Centric Communication Scheme for Unstable WiFi Based Backscatter Systems : (Invited Paper)

ecUWB: A Energy-Centric Communication Scheme for Unstable Wi...

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International Conference on computer Communications and Networks (ICCCN)

作者： Yue Xu Jingwen Zhang Hao Zhou Xiaoyan Wang Zhi Liu Yusheng Ji LINKE Lab School of Computer Science and Technology Univ. of Science and Technology of China China College of Engineering Ibaraki University Japan Department of Mathematical and Systems Engineering Shizuoka University Japan Information Systems Architecture Research Division National Institute of Informatics Japan

ISBN: (数字)9781728166070

ISBN: (纸本)9781728166087

By integrating both energy harvesting and backscatter communication technologies, so-called `battery-free tag' emerges as a promising solution to the energy related issues in IoT. However, such tags present new challenges due to the unstable energy supply and excitation signals, which are critical to realize successful backscatter communications. In this paper, we present a novel system, denoted as ecUWB, which enables robust communication for battery-free tags where unstable WiFi signals act as the unified source for both energy supply and excitation signals. At tag side, we propose a charging-transmission division scheme to achieve better signal utilization, and introduce a re-transmission mechanism for possible excitation signal interruption. At receiver side, we implement a simply method which is based on DBSCAN (Density-Based Spatial Clustering of Applications with Noise) to predict the uncontrollable signals, and propose an energy-centric tag scheduling method according to the tag energy estimation results. Extensive experiments are carried out on customized tags and NI USRP platform. The results show that ecUWB outperforms the existing ones in terms of performance and efficiency under the unstable WiFi signals.

关键词： Wireless fidelity Backscatter Energy harvesting Receivers Systems architecture Power supplies Modulation

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Slice Management in Radio Access Network via Deep Reinforcement Learning

Slice Management in Radio Access Network via Deep Reinforcem...

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IEEE Conference on Vehicular Technology (VTC)

作者： Behnam Khodapanah Ahmad Awada Ingo Viering Andre Noll Barreto Meryem Simsek Gerhard Fettweis Vodafone Chair Mobile Communications Systems Technische Universität Dresden Germany Nokia Bell Labs Munich Germany Nomor Research GmbH Munich Germany Barkhausen Institut Dresden Germany International Computer Science Institute Berkeley USA

ISBN: (数字)9781728152073

ISBN: (纸本)9781728140537

In future 5G systems, it is envisioned that the physical resources of a single network will be dynamically shared between the virtual end-to-end networks called “slices” and the network is “sliced”. The dynamic sharing of resources can bring about pooling gains, but different slices can easily influence each other. Focusing on slicing the radio access network, a slice management entity is required to steer the radio resource management (RRM) so that all of the slices are satisfied and negative inter-slice influences are minimized. The steering of RRM can be done by adjusting slice-specific control parameters in scheduler and admission controller mechanisms. We use a model-free reinforcement learning (RL) framework and train an agent as a slice manager. Simulation results show that such agents are capable of relatively quickly learning how to steer the RRM. Furthermore, a hybrid method of Jacobian-matrix approximation with RL approach has been devised and shown to be a practical and efficient solution.

关键词： Throughput Reinforcement learning Jacobian matrices Radio access networks 5G mobile communication Resource management Admission control

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Graphaf: A flow-based autoregressive model for molecular graph generation

arXiv

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arXiv 2020年

作者： Shi, Chence Xu, Minkai Zhu, Zhaocheng Zhang, Weinan Zhang, Ming Tang, Jian Department of Computer Science Peking University China Shanghai Jiao Tong University China Mila - Québec AI Institute Canada Université de Montréal Canada HEC Montréal Canada CIFAR AI Research Chair

Molecular graph generation is a fundamental problem for drug discovery and has been attracting growing attention. The problem is challenging since it requires not only generating chemically valid molecular structures but also optimizing their chemical properties in the meantime. Inspired by the recent progress in deep generative models, in this paper we propose a flow-based autoregressive model for graph generation called GraphAF. GraphAF combines the advantages of both autoregressive and flow-based approaches and enjoys: (1) high model flexibility for data density estimation;(2) efficient parallel computation for training;(3) an iterative sampling process, which allows leveraging chemical domain knowledge for valency checking. Experimental results show that GraphAF is able to generate 68% chemically valid molecules even without chemical knowledge rules and 100% valid molecules with chemical rules. The training process of GraphAF is two times faster than the existing state-of-the-art approach GCPN. After fine-tuning the model for goal-directed property optimization with reinforcement learning, GraphAF achieves state-of-the-art performance on both chemical property optimization and constrained property optimization. Copyright © 2020, The Authors. All rights reserved.

关键词： Molecules

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The Sparse Parity Matrix

arXiv

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arXiv 2021年

作者： Coja-Oghlan, Amin Cooley, Oliver Kang, Mihyun Lee, Joon Ravelomanana, Jean Bernoulli TU Dortmund Faculty of Computer Science Chair 2 Otto Hahn St 12 Dortmund44227 Germany Ludwig-Maximilians-Universität München Theresienstraße 39 München80333 Germany Graz University of Technology Institute of Discrete Mathematics Steyrergasse 30 Graz8010 Austria Station 14 LausanneCH-1015 Switzerland Station 14 LausanneCH-1015 Switzerland

Let A be an n×n-matrix over F2 whose every entry equals 1 with probability d/n independently for a fixed d > 0. Draw a vector y randomly from the column space of A. It is a simple observation that the entries of a random solution x to Ax = y are asymptotically pairwise independent, i.e., (formula presented) for s, t ∈ F2. But what can we say about the overlap of two random solutions x, x′, defined as (formula presented) We prove that for d ∗(d). By contrast, for d > e the overlap concentrates on a single value once we condition on the matrix A, while over the probability space of A its conditional expectation vacillates between two different values α∗(d) ∗(d), either of which occurs with probability 1/2 + o(1). This bifurcated non-concentration result provides an instructive contribution to both the theory of random constraint satisfaction problems and of inference problems on random *** Codes 05C80, 60B20, 94B05 Copyright © 2021, The Authors. All rights reserved.

关键词： Matrix algebra

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On stimulating fungi Pleurotus ostreatus with Cortisol

arXiv

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arXiv 2021年

作者： Dehshibi, Mohammad Mahdi Chiolerio, Alessandro Nikolaidou, Anna Mayne, Richard Gandia, Antoni Ashtari, Mona Adamatzky, Andrew Unconventional Computing Laboratory UWE Bristol United Kingdom Department of Computer Science Universitat Oberta de Catalunya Barcelona Spain Center for Sustainable Future Technologies Istituto Italiano di Tecnologia Torino Italy Department of Architecture UWE Bristol United Kingdom Institute for Plant Molecular and Cell Biology CSIC-UPV Valencia Spain Mogu S.r.l. Inarzo Italy

Fungi cells are capable of sensing extracellular cues through reception, transduction and response systems which allow them to communicate with their host and adapt to their environment. They display effective regulatory protein expressions which enhance and regulate their response and adaptation to a variety of triggers such as stress, hormones, light, chemicals and host factors. In our recent studies, we have shown that Pleurotus oyster fungi generate electrical potential impulses in the form of spike events as a result of their exposure to environmental, mechanical and chemical triggers, demonstrating that it is possible to discern the nature of stimuli from the fungi electrical responses. Harnessing the power of fungi sensing and intelligent capabilities, we explored the communication protocols of fungi as reporters of human chemical secretions such as hormones, addressing the question if fungi can sense human signals. We exposed Pleurotus oyster fungi to cortisol, directly applied to a surface of a hemp shavings substrate colonised by fungi, and recorded the electrical activity of fungi. The response of fungi to cortisol was also supplementary studied through the application of X-ray to identify changes in the fungi tissue, where receiving cortisol by the substrate can inhibit the flow of calcium and, in turn, reduce its physiological changes. This study could pave the way for future research on adaptive fungal wearables capable for detecting physiological states of humans and biosensors made of living fungi. © 2021, CC BY.

关键词： Fungi

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FeMAT: Exploring In-Memory Processing in Multifunctional FeFET-Based Memory Array

FeMAT: Exploring In-Memory Processing in Multifunctional FeF...

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IEEE International Conference on computer Design: VLSI in computers and Processors, (ICCD)

作者： Xiaoyu Zhang Xiaoming Chen Yinhe Han State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences School of Computer Science and Technology University of Chinese Academy of Sciences

The performance gap between the processors and the main memory is continuously widening, known as the memory wall bottleneck. Emerging nonvolatile devices have the ability of in-memory processing, and thus, have the potential to partially alleviate the memory wall bottleneck. People have adopted nonvolatile devices to build various accelerators that are targeted at different problems and applications. In this work, we adopt one of the emerging nonvolatile devices, the ferroelectric field-effect transistor (FeFET), to build a multifunctional in-memory processing unit, which is named FeMAT. From a structural point of view, FeMAT is an FeFET-based memory array composed of 3T-based cells. From a functional point of view, FeMAT not only is a nonvolatile memory, but also can perform some logic operations (i.e., the processing-in-memory (PIM) mode), binary convolutions (i.e., the binary convolutional neural network (BCNN) acceleration mode) and content searching (i.e., the ternary content-addressable memory (TCAM) mode) in the memory. These functions are seamlessly fused into the FeFET-based memory array and can be configured online without changing the circuit structure. Superior energy efficiency is demonstrated by our experiments and comparisons with a resistive random-access memory (ReRAM) based equivalence, as well as a TCAM and a BCNN accelerator based on complementary metal-oxide-semiconductor (CMOS) devices.

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Comparing the design neurocognition of mechanical engineers and architects: A study of the effect of designer's domain 22

Comparing the design neurocognition of mechanical engineers ...

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22nd International Conference on Engineering Design, ICED 2019

作者： Vieira, Sonia Liliana da Silva Gero, John S. Delmoral, Jessica Gattol, Valentin Fernandes, Carlos Fernandes, António A. INEGI Institute of Science and Innovation in Mechanical and Industrial Engineering Porto Portugal Department of Computer Science School of Architecture University of North Carolina Charlotte United States AIT Austrian Institute of Technology Vienna Austria FMUP Faculty of Medicine University of Porto Portugal FEUP Faculty of Engineering University of Porto Portugal

New tools from neuroscience allow design researchers to explore design neurocognition. By taking the advantage of EEG's temporal resolution we give up spatial resolution to focus on the performance of time-related design tasks. This paper presents results from an experiment using EEG to measure brain activation to study mechanical engineers and architects to compare their design neurocognition. In this study, we adopted and extended the tasks described in a previous fMRI study of design neurocognition reported in the literature. The block experiment consists of a sequence of 3 tasks: problem solving, basic design and open design using a physical interface. The block is preceded by a familiarizing pre-task using the physical interface and then extended to a fourth task using free-hand sketching. Brainwaves were collected from both mechanical engineers and architects. Results comparing 36 mechanical engineers and architects while designing were produced. These results indicate design cognition differences between the two domains in task-related power between the problem-solving task and the design tasks, in temporal resolution and transformed power. © 2019 Design Society. All rights reserved.

关键词： Design

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MV-Sketch: A Fast and Compact Invertible Sketch for Heavy Flow Detection in Network Data Streams

MV-Sketch: A Fast and Compact Invertible Sketch for Heavy Fl...

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IEEE Conference on computer Communications

作者： Lu Tang Qun Huang Patrick P. C. Lee Department of Computer Science and Engineering The Chinese University of Hong Kong State Key Lab of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences

ISBN: (纸本)9781728105161

Fast detection of heavy flows (e.g., heavy hitters and heavy changers) in massive network traffic is challenging due to the stringent requirements of fast packet processing and limited resource availability. Invertible sketches are summary data structures that can recover heavy flows with small memory footprints and bounded errors, yet existing invertible sketches incur high memory access overhead that leads to performance degradation. We present MV-Sketch, a fast and compact invertible sketch that supports heavy flow detection with small and static memory allocation. MV-Sketch tracks candidate heavy flows inside the sketch data structure via the idea of majority voting, such that it incurs small memory access overhead in both update and query operations, while achieving high detection accuracy. We present theoretical analysis on the memory usage, performance, and accuracy of MV-Sketch. Trace-driven evaluation shows that MVSketch achieves higher accuracy than existing invertible sketches, with up to 3.38× throughput gain. We also show how to boost the performance of MV-Sketch with SIMD instructions.

关键词： Sketches Reversibility Heavy Packet Processing traffic network degradation of performance Fasting

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Self-Adaptive Address Mapping Mechanism for Access Pattern Awareness on DRAM

Self-Adaptive Address Mapping Mechanism for Access Pattern A...

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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Chundian Li Mingzhe Zhang Zhiwei Xu Xianhe Sun SKL of Computer Architecture Institute of Computing Technology Beijing China Department of Computer Science Illinois Institute of Technology Chicago USA University of Chinese Academy of Sciences Beijing China

ISBN: (数字)9781728143286

ISBN: (纸本)9781728143293

As DRAM is a considerably slow storage compared to CPU, the long access latency becomes a serious issue and affects the whole execution if fetching data is on the critical path. It is benefical if the data layout on DRAM, which is decided by address mapping, can serve data accesses with either great locality or bank-level parallelism. However for some cases, there exists a huge mismatch between access patterns and data layout of applications, which introduces the difficulty in obtaining locality or parallelism and current general address mapping cannot resolve it well. In an effort to overcome this challenge, we present an self-adaptive address mapping mechanism in memory controller to be aware of different access patterns on DRAM without any prior knowledge of applications. Moreover, there is nearly no modification on softwares, including applications, libraries and OS. We take several versions of matrix multiplication as an early verification, since their patterns are regular and simple to control. Impressively, the results reveal that memory performance of naive and tiling versions is improved up to 3.4× and 2.7× at most, 2.1× and 1.7× on average respectively. The whole execution time is reduced by up to 24% and 8% averagely. Even for highly-optimized implementations, execution time is decreased by 7% and memory performance speeds up to 1.6× on average.

关键词： Random access memory Layout Parallel processing Organizations Libraries Programming Optimization

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