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Supporting Static Program Analysis and Transformation of Quantum-Based Languages

Supporting Static Program Analysis and Transformation of Qua...

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Quantum Computing and Engineering (QCE), IEEE International Conference on

作者： Joshua A.C. Behler Ali F. Al-Ramadan Betis Baheri Qiang Guan Jonathan I. Maletic Computer Science Department Kent State University Kent Ohio USA

ISBN: (数字)9798331541378

ISBN: (纸本)9798331541385

The work aims to enable the use of common software engineering techniques and tools for quantum programming languages (e.g., OpenQASM). With the increased interest in quantum computing, researchers are adopting the use of higher-level quantum programming languages versus low-level circuit diagrams. While general purpose programming languages (e.g., C++, Python) are highly supported by a variety of software engineering tools, these novel programming languages for quantum computing have almost no support. Useable tools for debugging, static analysis, error detection, and transformation are currently non-existent. This work extends an existing software infrastructure (i.e., srcML) for the analysis, exploration, and manipulation of source code to OpenQASM. The srcML infrastructure, via parsing, generates abstract syntax information of programs to support high-level querying and analysis of the source code. With this, quantum developers can extract information and identify possible errors or inefficiencies in their programs. The paper presents the basic syntactic markup for OpenQASM. Also, a number of relevant quantum-based problems (e.g., iteration patterns, control recursion) are described and examples of how they are addressed using srcML are given.

关键词： Quantum computing source coding Static analysis Debugging C++ languages Syntactics Software Data mining Software engineering Python

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Towards optimum cost in multi-hop networks with arbitrary network demands

Towards optimum cost in multi-hop networks with arbitrary ne...

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IEEE International Symposium on Information Theory

作者： Kumar Viswanatha Emrah Akyol Kenneth Rose Department of Electrical and Computer Engineering University of California슠Santa Barbara CA USA

ISBN: (纸本)9781424478903

This paper considers the problem of minimizing the communication cost for a general multi-hop network with correlated sources and multiple sinks. For the single sink scenario, it has been shown that this problem can be decoupled, without loss of optimality, into two separate subproblems of distributed source coding and finding the optimal routing (transmission structure). It has further been established that, under certain assumptions, such decoupling also applies in the general case of multiple sinks and arbitrary network demands. We show that these assumptions are significantly restrictive, and further provide examples to substantiate the loss, including settings where removing the assumptions yields unbounded performance gains. Finally, an approach to solving the unconstrained problem, where routing and coding cannot be decoupled, is derived based on Han and Kobayashi's achievability region for multi-terminal coding.

关键词： Cost function Spread spectrum communication Routing source coding Information theory Decoding Performance loss Propagation losses Performance gain Rate-distortion

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Joint data compression and error protection for collaborative transmission

Joint data compression and error protection for collaborativ...

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IEEE International Conference on Image Processing

作者： Haitong Sun M. van der Schaar Zhi Ding Department of Electrical and Computer Engineering University of California Davis CA USA Department of Electrical and Computer Engineering University of California Davis CA

This paper addresses the problem of efficient and robust transmission of video over a hierarchical wireless infrastructure. First, we compress the data generated by the video sources using a multi-resolution wavelet coder. Subsequently, the generated bitstreams are transmitted over a wireless infrastructure to multiple regional processing centers (RPC), which then send the distorted bitstreams to a common higher-level processing center/receiver. We propose a symmetric framework for the joint compression and error protection of the correlated video bitstreams received by the RPC. We show that significantly improved video performance can be obtained by our framework over a variety of channel conditions.

关键词： Data compression Protection Collaboration Decoding Video compression Image coding Parity check codes source coding Wireless sensor networks Robustness

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Collaborative broadcasting and compression in cluster-based wireless sensor networks

Collaborative broadcasting and compression in cluster-based ...

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European Workshop on Wireless Sensor Networks

作者： A.T. Hoang M. Motani Department of Electrical and Computer Engineering Institute for Infocom Research National University of Singapore Singapore

Achieving energy efficiency to prolong the network lifetime is an important design criterion for wireless sensor networks. In this paper, we propose a novel approach to conserve energy by allowing sensors to exploit the inherent broadcast nature of the wireless channel to carry out joint data compression. We illustrate this idea in a cluster-based wireless sensor network. The key idea is that when a particular sensor broadcasts its data to the cluster head, other sensors can receive and utilize that data to compress their own data. We formulate an optimization problem in which sensors in each cluster collaborate their transmitting, receiving and compressing activities to maximize their lifetime and solve for the optimal control scheme. By optimal, we mean that any other policy cannot increase the lifetime of the node which dies first. We also propose a heuristic scheme with lower complexity and near optimal performance. Numerical results show that by exploiting the broadcast nature of wireless media, our control schemes can achieve significant improvement in the sensors' lifetime.

关键词： Collaboration Broadcasting Intelligent networks Wireless sensor networks Data compression Decoding source coding Batteries Energy efficiency Sensor systems

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Optimizing White Blood Cell Nuclei Segmentation: A Proficient Method for Improved Diagnostic Accuracy

Optimizing White Blood Cell Nuclei Segmentation: A Proficien...

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International Conference on Data and Software Engineering (ICODSE)

作者： Abdisalam Abdulkadir Adam Ibrahim Abdullahi Farah Mohamed Abdirahman Yusuf Bashir Abdirahman Hussien Abdulaziz Ahmed Siyad Department of Electrical Engineering Faculty of Engineering Jamhuriya University of Science and Technology Mogadishu Somalia

ISBN: (数字)9798331506407

ISBN: (纸本)9798331506414

Clinical evaluations involving blood testing are the most crucial and often requested tests. If a blood sample seems odd, it must be examined manually under a microscope. This is a tedious, random, and time-consuming manual process. Automating the categorization of microscopic blood samples might be advantageous in order to speed up and improve the accuracy of pathologists' job. Segmentation is the first and most important step in the automated classification of blood cells. In this work, we present a practical technique for automatically dividing blood cell nuclei. Grayscale contrast enhancement and filtering are the foundation of the technique. There is now a minimum section size in place to get rid of fake items. 365 images of blood are used to evaluate the procedure. A quantitative assessment of the test set revealed a 79.7% segmentation performance. This performance is outstanding when compared to other published methods that have been applied to the same dataset. We compare the individual functions of the five typical kinds of white blood cells. Eosinophils have the lowest segmentation accuracy (69.3%), whereas monocytes have the best (86.3%). For comparison and replication, the blood image dataset and MATLAB source code are accessible.

关键词： Image segmentation Accuracy Microscopy source coding Cells (biology) Manuals Gray-scale MATLAB Testing Software engineering

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Transmission of two-tone images over noisy channels with memory

Transmission of two-tone images over noisy channels with mem...

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IEEE International Symposium on Information Theory

作者： P. Burlina F. Alajaji R. Chellappa Center for Automation Research University of Maryland College Park MD USA Department of Mathematics and Satistics Queen''s University Kingston ONT Canada

Extended abstract only given. We consider an alternate approach to coding information bearing data for the reliable transmission of two-tone images over noisy communication channels with memory. This consists of jointly designing the source and channel codes (a technique referred to as joint source-channel coding). source and channel coding are two problems that have traditionally been implemented separately, forming what is known as a tandem source-channel coding system. The separation of channel and source coding is only optimal in an asymptotic sense, i.e., when no constraints exist on the coding block lengths (delay) and on the complexity of the encoder/decoder. Joint source-channel coding, however, has received increased attention. It has previously been shown that if delay and complexity are constrained, performance can be increased if the source and channel codes are jointly designed, as opposed to being treated independently. We propose joint source-channel coding schemes for the reliable transmission of two-tone images over a binary channel with additive Markov noise. Applications of this work are in the transmission of facsimile documents over land mobile radio channels.

关键词： Decoding Image coding Additive noise source coding Delay Markov processes Random access memory Automation Educational institutions Mathematics

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Wyner-Ziv video coding with hash-based motion compensation at the receiver

Wyner-Ziv video coding with hash-based motion compensation a...

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IEEE International Conference on Image Processing

作者： A. Aaron S. Rane B. Girod Information Systems Laboratory Department of Electrical Engineering University of Stanford Stanford CA USA

In the current interframe video compression systems, the encoder performs predictive coding to exploit the similarities of successive frames. The Wyner-Ziv theorem on source coding with side information available only at the decoder suggests that an asymmetric video codec, where individual frames are encoded separately, but decoded conditionally (given temporally adjacent frames) could achieve similar efficiency. In the previous work we propose a Wyner-Ziv coding scheme for motion video that uses intraframe encoding instead of interframe decoding. In this paper we improve on our Wyner-Ziv video codec by sending hash codewords of the current frame to aid the decoder in accurately estimating the motion. This allows us to implement a low-delay system where only the previous reconstructed frame is used to generate the side information of a current frame. Simulation results show significant gains above conventional DCT-based intraframe coding. The Wyner-Ziv video codec with hash-based motion compensation at the receiver enables low-complexity encoding while achieving high compression efficiency.

关键词： Video coding Motion compensation Decoding Video compression source coding Encoding Cameras Video codecs Wireless sensor networks Laboratories

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Hyperspectral Image coding Using 3D Transform and the Recommendation CCSDS-122-B-1

Hyperspectral Image Coding Using 3D Transform and the Recomm...

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Data Compression Conference (DCC)

作者： Fernando García-Vílchez Joan Serra-Sagristà Joan Bartrina-Rapesta Francesc Aulí-Llinàs Department of Information and Communications Engineering UAB - ETSE Cerdanyola del Vallès (Barcelona) Spain

In this paper a modification on the file syntax of the CCSDS recommendation for image data coding (CCSDS-122-B-1) is presented. With respect to the Recommendation, the proposed modification provides, among others, scalability by quality, spatial location, resolution, and component, and also allows multicomponent data coding. In addition, experimental results show that our proposal produces a meaningful improvement over the performance of the Recommendation. Reported results for hyperspectral data are also competitive with JPEG2000, the reference technique.

关键词： Hyperspectral imaging Image coding Rate-distortion Quantization Covariance matrix Entropy Mutual information Equations H infinity control source coding

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Digital Compact Cassette

Digital Compact Cassette

引用

IEEE International Conference on Consumer Electronics (ICCE)

作者： G.C.P. Lokhoff Advanced Development Centre Philips Consumer Electronics Company Eindhoven Netherlands

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OFA3: Automatic Selection of the Best Non-dominated Sub-networks for Ensembles

OFA3: Automatic Selection of the Best Non-dominated Sub-netw...

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International Joint Conference on Neural Networks (IJCNN)

作者： Rafael Claro Ito Emely Pujólli Da Silva Fernando J. Von Zuben School of Electrical and Computer Eng. University of Campinas (Unicamp) Campinas Brazil Institute of Computing University of Campinas (Unicamp) Campinas Brazil

ISBN: (数字)9798350359312

ISBN: (纸本)9798350359329

Advancement of Neural Architecture Search (NAS) has the potential to significantly improve the efficiency and performance of machine learning systems, as well as enable the exploration of new architectures and applications across a wide range of fields. A promising direction for developing more scalable and adaptive neural network architectures is the Once-for-All (OFA), a NAS framework that decouples the training and the search stages, meaning that one super-network is trained once, and then multiple searches can be performed according to different deployment scenarios. More recently, the OFA 2 strategy improved the search stage of the OFA framework by taking advantage of the very low cost of sampling already trained sub-networks and by exploring the multi-objective nature of the problem: a set of non-dominated sub-networks are all obtained at once, with distinct trade-offs involving hardware constraints and accuracy. In this work, we propose OFA 3 , building high-performance ensembles by solving the problem of how to automatically select the optimal subset of the already obtained non-dominated sub-networks. Particularly when components of the ensemble can run in parallel, our results dominate any other configuration of the available sub-networks, taking accuracy and latency as the conflicting objectives. The source code is available at https://***/ito-rafael/once-for-all-3.

关键词： Training Accuracy Costs Adaptive systems source coding Neural networks Buildings

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