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Point flux PL-estimators for Monte Carlo dose calculations

Point flux PL-estimators for Monte Carlo dose calculations

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Annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： E.N. Donskoy Sarov N. Novgorod Region Russian Federation Nuclear Center All-Russian Scientific Research Institute of Experimental Physics Russia

ISBN: (纸本)0780364651

At 3D dosimetry planning in radiation therapy, point flux PL-estimators are convenient for Monte Carlo dose calculations in a human body. The method of construction of PL-estimators is based on a property of local optical invariance under spatial shifts of trajectories of the Markov process related to the transport equation. It allows one to receive unbiased estimators, possessing a final variance and a property of continuity of the estimator as a function of a detecting point at each point of continuity of an estimated functional. The algorithm of dose calculation with use of PL-estimators includes the following steps: (a) construction of the main trajectory in the infinite homogeneous water medium; (b) construction of "enclosed" trajectory with smaller number of links, "close" to the main trajectory; (c) construction of a set of similar trajectories (in the case of a heterogeneous medium with various chemical structure); (d) calculation of the contribution to the dose value at each detecting point. The dose calculation time with use of the given algorithm is directly proportional to the number of detecting points.

关键词： Monte Carlo methods Dosimetry Medical treatment Humans Markov processes Equations Chemicals distributed computing Quantum computing Fluctuations

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Context Aware Back-Transliteration from English to Sinhala

Context Aware Back-Transliteration from English to Sinhala

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international conference on Advances in ICT for Emerging Regions

作者： Rushan Nanayakkara Thilini Nadungodage Randil Pushpananda University of Colombo School of Computing University of Colombo Colombo Sri Lanka

The Sinhala language is widely used on social media by using the English alphabet to represent native Sinhala words. The standard script of English language is Roman script. Hence we refer to Sinhala texts transliterated using English alphabet as Romanized-Sinhala texts. This process of representing texts of one language using the alphabet of another language is called transliteration. Over the time Sinhala Natural Language Processing (NLP) researchers have developed many systems to process native Sinhala texts. However, it is impossible to use the existing Sinhala text processing tools to process Romanized-Sinhala texts as those systems can only process Sinhala scripts. Therefore these texts need to be transliterated back using their original Sinhala scripts to be processed using existing Sinhala NLP tools. Transliterating texts backwards using their native alphabet is referred to as back-transliteration. In this study, we present a Transliteration Unit (TU) based back-transliteration system for the back-transliteration of Romanized-Sinhala texts. We also introduce a novel method for converting the Romanized-Sinhala scripts into TU sequences. The system was trained using a primary data set and evaluated using an unseen portion of the same data set as well as a secondary data set which represents texts from a different context to the primary data set. The proposed model has achieved 0.81 in BLEU score and 0.78 in METEOR score on the primary data set while achieving 0.57 in BLEU score and 0.47 in METEOR score on the secondary data set.

关键词： Context-aware services Social networking (online) Natural language processing Data models Standards Text processing

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Dragonfly: linking conceptual and implementation architectures of multiuser interactive systems 00

Dragonfly: linking conceptual and implementation architectur...

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proceedings of the 22nd international conference on Software engineering

作者： Gary E. Anderson T. C. Nicholas Graham Timothy N. Wright Department of Computing and Information Science Queen's University Kingston Ontario Canada Department of Computer Science University of Canterbury Private Bag 4800 Christchurch New Zealand

ISBN: (纸本)9781581132069

Software architecture styles for developing multiuser applications are usually defined at a conceptual level, abstracting such low-level issues of distributed implementation as code replication, caching strategies and concurrency control policies. Ultimately, such conceptual architectures must be cast into code. The iterative design inherent in interactive systems implies that significant evolution will take place at the conceptual level. Equally, however, evolution occurs at the implementation level in order to tune performance. This paper introduces Dragonfly, a software architecture style that maintains a tight, bidirectional link between conceptual and implementation software architectures, allowing evolution to be performed at either level. Dragonfly has been implemented in the Java-based Telecomputing Developer (TCD) toolkit.

关键词： software architecture user interface development toolkits groupware

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A Large-scale Non-standard English Database and Transformer-based Translation System

A Large-scale Non-standard English Database and Transformer-...

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IEEE international conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Arghya Kundu Uyen Trang Nguyen York University Toronto Canada

ISBN: (数字)9798350381993

ISBN: (纸本)9798350382006

Natural language processing (NLP) applications face challenges in understanding and processing region or industry specific language. In real-world scenarios, conversational language used in blogs and social media platforms often contains slang and non-standard words (SNSW). These unconventional terms are not typically present in curated datasets used to train NLP models. As a consequence, the performance of these models is negatively affected when they encounter such real-world linguistic variations. In this paper, we introduce SNSW-DB, an automatically curated, regularly updated, large-scale lexical database from crowdsourced dictionaries. The database contains SNSW terms, example sentences, and their standard English synonyms generated by our synonym generator module. We also propose a transformer-based translation system that converts articles with SNSW to standard English. Translated documents enhance readability and utility for human readers, and can improve the performance of downstream NLP tasks.

关键词： Dictionaries Databases Social networking (online) Predictive models Linguistics Transformers Natural language processing

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Scalable and Efficient Data Streaming Algorithms for Detecting Common Content in Internet Traffic

Scalable and Efficient Data Streaming Algorithms for Detecti...

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international conference on Data Engineering Workshops

作者： Minho Sung A. Kumar Li Li Jia Wang Jun Xu College of Computing Georgia Institute of Technology USA Bell Laboratories Lucent Technologies Inc. USA AT and T Research Laboratories USA

Recent research on data streaming algorithms has provided powerful tools to efficiently monitor various characteristics of traffic passing through a single network link or node. However, it is often desirable to perform data streaming analysis on the traffic aggregated over hundreds or even thousands of links/nodes, which will provide network operators with a holistic view of the network operation. Shipping raw traffic data to a centralized location (i.e., “raw aggregation”) for streaming analysis is clearly not a feasible approach for a large network. In this paper, we propose a set of novel distributed data streaming algorithms that allow scalable and efficient monitoring of aggregated traffic without the need for raw aggregation. Our algorithms target the specific network monitoring problem of finding common content in the Internet traffic traversing several nodes/links, which has applications in network-wide intrusion detection, early warning for fast propagating worms, and detection of hot objects and spam traffic. We evaluate our algorithms through extensive simulations and experiments on traffic traces collected from a tier-1 ISP. The experimental results demonstrate that our algorithms can effectively detect common content in the traffic traversing across a large network.

关键词： Internet Telecommunication traffic Traffic control Signal processing algorithms Aggregates IP networks Event detection Intrusion detection Condition monitoring Data processing

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EDDNet: An Efficient and Accurate Defect Detection Network for the Industrial Edge Environment

EDDNet: An Efficient and Accurate Defect Detection Network f...

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IEEE international conference on Software Quality, Reliability and Security (QRS)

作者： Runbing Qin Ningjiang Chen Yihui Huang School of Computer and Electronic Information Guangxi University Nanning China Guangxi Intelligent Digital Services Research Center of Engineering Technology Nanning China Guangxi Colleges and Universities Key Laboratory of Parallel and Distributed Computing Nanning China

Defect detection aims to locate the accurate position of defects in images, which is of great significance to quality inspection in the industrial product manufacturing. Currently, many defect detection methods rely on deep neural networks to extract features. Although the accuracy of these methods is relatively high, it is computationally intensive, making the methods difficult to deploy in resource-limited edge devices. In order to solve these problems, a lightweight defect detection model for the industrial edge environment is proposed, termed the efficient defect detection network (EDDNet). EfficientNet-B0 is used as the feature extraction backbone, extracting feature maps from feature layers of different depths of the network and fusing multilevel features by multilevel feature fusion (MFF). To obtain more information, we redesign the attention mechanism in MBConv blocks, taking the encoding space (ES) attention mechanism as a new module, which solves the problem that the defective image spatial information is ignored. The experimental results on the NEU-DET and DAGM2007 datasets and PCB defect datasets demonstrate the effectiveness of the proposed EDDNet and its possibility for application in industrial edge device.

关键词： Image edge detection Computational modeling Neural networks Software quality Object detection Feature extraction Transformers

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Space-efficient Relative Error Order Sketch over Data Streams

Space-efficient Relative Error Order Sketch over Data Stream...

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international conference on Data Engineering

作者： Ying Zhang Xuemin Lin Jian Xu F. Korn Wei Wang NICTA University of New South Wales Australia AT and T Research Laboratories USA

ISBN: (纸本)9781424429448

We consider the problem of continuously maintaining order sketches over data streams with a relative rank error guarantee ∊. Novel space-efficient and one-scan randomised techniques are developed. Our first randomised algorithm can guarantee such a relative error precision ∊ with confidence 1 - \delta using O( 1\_ \in \frac{1} {2}2 log 1d log ∊^2N) space, where N is the number of data elements seen so far in a data stream. Then, a new one-scan space compression technique is developed. Combined with the first randomised algorithm, the one-scan space compression technique yields another one-scan randomised algorithm that guarantees the space requirement is O( 1\frac{1} { \in } log(1\frac{1}{ \in } log 1\begin{gathered} \frac{1}{\delta } \hfill \\ \hfill \\ \end{gathered} )\frac{{\log ^{2 + \alpha } \in N}} {{1 - 1/2^\alpha }} (for\alpha \gt 0) on average while the worst case space remains O( \frac{1}{{ \in ^2 }}\log \frac{1} {\delta }\log \in ^2 N). These results are immediately applicable to approximately computing quantiles over data streams with a relative error guarantee \in and significantly improve the previous best space bound O( \frac{1} {{ \in ^3 }}\log \frac{1}{\delta }\log N). Our extensive experiment results demonstrate that both techniques can support an on-line computation against high speed data streams.

关键词： Computer networks Statistical distributions Data mining Statistical analysis distributed computing Stock markets Error analysis High-speed networks Computer network management Data analysis

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Line selection strategy for a beneficial DLR system based on international project experience

Line selection strategy for a beneficial DLR system based on...

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22nd international Symposium on High Voltage Engineering (ISH 2021)

作者： D. Szabó L. Rácz G. Göcsei B. Németh Department of Electric Power Engineering Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Budapest Hungary

System operators have to face several technical, economic, and system-level control challenges during the operation of high voltage distribution- and transmission lines. The progressively increasing energy demand, the spread of distributed generation, aspiration for an integrated energy market (IEM) formation, intermittent generation of renewable energy sources, continuous supply constraint of the consumers or the capital-intensive and prolonged investments in case of new infrastructure constructions also belong to this challenging problem area. Dynamic line rating (DLR) is a state-of-the-art methodology for uprating power lines, as this technique monitors the thermal behaviour of the overhead lines' phase conductors. On the other hand, a complex line monitoring expert system can be established based on the infrastructural and computational background required for the implementation of a DLR system. In this way, not only the real-time ampacity of the power lines can be calculated, but a DLR-based expert system also provides an opportunity for predetermined transmission capacity calculation, tracking of conductor temperature, monitoring of sag-clearance variation of the conductors, or forecast icing events with the determination of anti-icing current. Implementing a DLR-based expert system is preceded by different preparatory processes, which are essential during the system-level approach. The first phase of any internal or international DLR project is selecting power lines, on whose line monitoring system can be applied effectively. One purpose of this article is to present a complex line selection strategy including the specialties of the investigated network such as historical load duration curves, load limiting machinery in the substations, archive icing events, or different strategic aspects that highly affect the economic return, efficiency and operational safety of such a system. Another important aspect in the preparatory process of a DLR system implementatio

关键词： distributed power generation expert systems ice investment overhead line conductors power engineering computing power generation economics power grids power markets power overhead lines power transmission economics renewable energy sources substations

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Building Regular Formations with Establishing/Preserving Information Connectivity by Multi-Agent Robotic Teams

Building Regular Formations with Establishing/Preserving Inf...

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international conference on Control, Automation and Systems ( ICCAS)

作者： Alexey S. Matveev Petr A. Konovalov Alexander A. Kapitonov A.I. Shepeljavyi Mathematics and Mechanics Faculty Saint-Petersburg State University Peterhof Saint Petersburg Russia Mathematical Robotics Science Division “Sirius University” Sirius City Krasnodar region Russia Faculty of Control Systems and Robotics ITMO University St. Petersburg Russia

We consider a team of identical agents that are unaware of the team size, cannot discern between the peers or play distinct roles, and should be driven a common control rule, which is to be individually run at any of them. Every agent has access to the relative state of any peer that lies within a finite “visibility range” if nobody “obscures the view” to the peer. Computationally inexpensive distributed algorithms are presented for solution of the following problems: distribution of the agents into nodes of a uniform grid with a given step without gaps and multiple occupancy of nodes; reaching consensus on a quantity of interest (QoI); even self-distribution between two given values of QoI. These algorithms are illustrated by using them as building blocks for control laws that ensure first, dense sweep coverage of corridor environments by planar robotic swarms and second, autonomously building a virtual antenna array in 3D by mobile devices. The proposed algorithms are justified by mathematically rigorous global convergence results; their performance is confirmed by computer simulation tests.

关键词： Performance evaluation Three-dimensional displays Computer simulation Buildings Mobile antennas Mobile handsets Peer-to-peer computing

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Orchestration of Heterogeneous, distributed, Real-Time Control Containers

Orchestration of Heterogeneous, Distributed, Real-Time Contr...

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IEEE international conference on Industrial Informatics (IndIN)

作者： Moritz Walker Leonard Rupietta Armin Lechler Michael Neubauer Alexander VerI Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) University of Stuttgart Stuttgart Germany

ISBN: (数字)9798331527471

ISBN: (纸本)9798331527488

In today's global market, manufacturers must be highly adaptable, producing profitably smaller batches. Disin-tegrating hardware and software and embracing modern IT concepts like containerization and Service-oriented Architecture enable this flexibility. While offering rapid reconfiguration, these approaches add complexity. Orchestration tools aid in analyzing response times, workload mapping, and parameter selection for containerized real-time applications. However, current tools struggle with managing distributed, heterogeneous, real-time apps. This paper proposes an orchestration solution based on Compositional Performance Analysis and Genetic Algorithm to optimize task allocation across diverse computing resources. The approach enables the orchestration of heterogeneously scheduled, container-based. distributed real-time systems.

关键词： Globalization Real-time systems Software Hardware Service-oriented architecture Performance analysis Time factors Resource management Informatics Genetic algorithms

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