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نتیجه جستجو - property

تعداد مقالات یافته شده: 258
ردیف عنوان نوع
1 Duality Between Source Coding With Quantum Side Information and Classical-Quantum Channel Coding
دوگانگی بین کدگذاری منبع با اطلاعات جانبی کوانتومی و کدگذاری کانال کوانتومی کلاسیک-2022
In this paper, we establish an interesting duality between two different quantum information-processing tasks, namely, classical source coding with quantum side information, and channel coding over classical-quantum channels. The duality relates the optimal error exponents of these two tasks, generalizing the classical results of Ahlswede and Dueck [IEEE Trans. Inf. Theory, 28(3):430–443, 1982]. We establish duality both at the operational level and at the level of the entropic quantities characterizing these exponents. For the latter, the duality is given by an exact relation, whereas for the former, duality manifests itself in the following sense: an optimal coding strategy for one task can be used to construct an optimal coding strategy for the other task. Along the way, we derive a bound on the error exponent for classical-quantum channel coding with constant composition codes which might be of independent interest. Finally, we consider the task of variable-length classical compression with quantum side information, and a duality relation between this task and classical-quantum channel coding can also be established correspondingly. Furthermore, we study the strong converse of this task, and show that the strong converse property does not hold even in the i.i.d. scenario.
Index Terms: Duality | classical-quantum channel coding | quantum side information | error exponent | strong converse | Slepian-Wolf coding.
مقاله انگلیسی
2 Assessing surface drainage conditions at the street and neighborhood scale: A computer vision and flow direction method applied to lidar data
ارزیابی شرایط زهکشی سطحی در مقیاس خیابان و محله: یک روش دید کامپیوتری و جهت جریان اعمال شده به داده های لیدار-2022
Surface drainage at the neighborhood and street scales plays an important role in conveying stormwater and mitigating urban flooding. Surface drainage at the local scale is often ignored due to the lack of up-to-date fine- scale topographical information. This paper addresses this issue by providing a novel method for evaluating surface drainage at the neighborhood and street scales based on mobile lidar (light detection and ranging) measurements. The developed method derives topographical properties and runoff accumulation by applying a semantic segmentation (SS) model (a computer vision technique) and a flow direction model (a hydrology technique) to lidar data. Fifty lidar images representing 50 street blocks were used to train, validate, and test the SS model. Based on the test dataset, the SS model has 80.3% IoU and 88.5% accuracy. The results suggest that the proposed method can effectively evaluate surface drainage conditions at both the neighborhood and street scales and identify problematic low points that could be susceptible to water ponding. Municipalities and property owners can use this information to take targeted corrective maintenance actions.
keywords: تقسیم بندی معنایی | جهت جریان | لیدار موبایل | زهکشی سطحی | زیرساخت های زهکشی | Semantic segmentation | Flow direction | Mobile lidar | Surface drainage | Drainage infrastructure
مقاله انگلیسی
3 Hash Function Based on Controlled Alternate Quantum Walks With Memory (September 2021)
عملکرد هش بر اساس راه رفتن کوانتومی جایگزین کنترل شده با حافظه (سپتامبر 2021)-2022
We propose a Quantum inspired Hash Function using controlled alternate quantum walks with Memory on cycles (QHFM), where the jth message bit decides whether to run quantum walk with one-step memory or to run quantum walk with two-step memory at the jth time step, and the hash value is calculated from the resulting probability distribution of the walker. Numerical simulation shows that the proposed hash function has near-ideal statistical performance and is at least on a par with the state-of-the-art hash functions based on quantum walks in terms of sensitivity of hash value to message, diffusion and confusion properties, uniform distribution property, and collision resistance property; and theoretical analysis indicates that the time and space complexity of the new scheme are not greater than those of its peers. The good performance of QHFM suggests that quantum walks that differ not only in coin operators but also in memory lengths can be combined to build good hash functions, which, in turn, enriches the construction of controlled alternate quantum walks.
INDEX TERMS: Controlled alternate quantum walks (CAQW) | hash function | quantum walks with memory (QWM) | statistical properties | time and space complexity.
مقاله انگلیسی
4 Learning Quantum Drift-Diffusion Phenomenon by Physics-Constraint Machine Learning
یادگیری پدیده رانش کوانتومی- انتشار با یادگیری ماشین محدودیت فیزیک-2022
Recently, deep learning (DL) is widely used to detect physical phenomena and has obtained encouraging results. Several works have shown that it can learn quantum phenomenon. Subsequently, quantum machine learning (QML) has been paid more attention by academia and industry. Quantum drift-diffusion (QDD) is a commonplace physical phenomenon, which is a macroscopic description of electrons and holes in a semiconductor. They are commonly used to attain an understanding of the property of semiconductor devices in physics and engineering. We are motivated by the relaxation-time limit from the quantum-Navier-Stokes-Poisson system (QNSP) to the QDD equation and the existence of finite energy weak solutions to the QDD equation has been proved. Therefore, in this work, the quantum drift-diffusion learning neural network (QDDLNN) is proposed to investigate the quantum drift phenomena from limited observations. Furthermore, a piece of numerical evidence is found that the NNs can describe quantum transport phenomena by simulating the quantum confinement transport equationquantum Navier-Stokes equation.
Index Terms: Quantum machine learning | quantum drift diffusion | physical-information learning | quantum transport | quantum fluid model.
مقاله انگلیسی
5 Measurement-Induced Boolean Dynamics for Open Quantum Networks
دینامیک بولی ناشی از اندازه گیری برای شبکه های کوانتومی باز-2022
In this paper, we study the recursion corresponding to the measurement outcomes for open quantum networks under sequential measurements. Open quantum networks are networked quantum subsystems (e.g., qubits) with the state evolutions described by a continuous Lindblad master equation. When measurements are performed sequentially along such continuous dynamics, the quantum network states undergo probabilistic jumps and the corresponding measurement outcomes can be described by a vector of probabilistic Boolean variables. The induced recursion of the Boolean vectors forms a probabilistic Boolean network. First of all, we show that the state transition of the induced Boolean network can be explicitly represented through a real version of the master equation. Next, when the open quantum dynamics are relaxing in the sense that they possess a unique equilibrium as a global attractor, structural properties including absorbing states, reducibility, and periodicity for the induced Boolean network are direct consequences of this relaxing property. Particularly, we show that generically, relaxing quantum dynamics lead to irreducible and aperiodic chains for the measurement outcomes. Finally, we show that for quantum consensus networks which are a type of non-relaxing open quantum network dynamics, the communication classes of the measurement-induced Boolean networks are encoded in the quantum Laplacian of the underlying interaction graph.
Index Terms: quantum networks | open quantum systems | quantum measurements | Boolean networks
مقاله انگلیسی
6 Oscillator-to-Oscillator Codes Do Not Have a Threshold
کدهای نوسان ساز به نوسان ساز آستانه ندارند-2022
It is known that continuous variable quantum information cannot be protected against naturally occurring noise using Gaussian states and operations only. Noh et al. proposed bosonic oscillator-to-oscillator codes relying on nonGaussian resource states as an alternative, and showed that these encodings can lead to a reduction of the effective error strength at the logical level as measured by the variance of the classical displacement noise channel. An oscillator-to-oscillator code embeds K logical bosonic modes (in an arbitrary state) into N physical modes by means of a Gaussian N-mode unitary and N-K auxiliary one-mode Gottesman-Kitaev-Preskill-states. Here we ask if – in analogy to qubit error-correcting codes – there are families of oscillator-to-oscillator codes with the following threshold property: They allow to convert physical displacement noise with variance below some threshold value to logical noise with variance upper bounded by any (arbitrary) constant. We find that this is not the case if encoding unitaries involving a constant amount of squeezing and maximum likelihood error decoding are used. We show a general lower bound on the logical error probability which is only a function of the amount of squeezing and independent of the number of modes. As a consequence, any physically implementable family of oscillator-to-oscillator codes combined with maximum likelihood error decoding does not admit a threshold.
Index Terms: Bosonic codes | continuous-variable quantum information | fault-tolerance threshold | modulo reduced Gaussian vectors | quantum error correction | quantum fault-tolerance.
مقاله انگلیسی
7 Multi-Ontology Mapping Generative Adversarial Network in Internet of Things for Ontology Alignment
نگاشت چند هستی شناسی شبکه متخاصم مولد در اینترنت اشیا برای تراز هستی شناسی-2022
On the Semantic web, ontologies are thought to be the remedy to data heterogeneity, and correlating ontologies is a highly effective technique. Although the use of representation learning approaches to a variety of applications has showed significant promise, they have had little effect on the issue of ontology matching and classification. In order to establish alignments between two ontologies, this research presents the Multi-Ontology Mapping Generative Adversarial Network in Internet of Things (MOMGANI). For the instance of ontology mapping, we suggest using a two-system representation learning network consisting of a Generator and Discriminator. The Generator applies a probabilistic softmax classifier to the different Name, Label, Comments, Properties, Instance descriptions, concept characteristics, and the neighbourhood concepts for each of the ontologys properties. In order to support the assertions that the Generator has generated, the Discriminator network employs a novel Bidirectional Long Short-Term Memory (Bi-LSTM network) with an Ontology Attention mechanism enhanced by the concept’s descriptions. As a result, both systems are in a feedback mechanism where they can learn from one another. The system will produce a set of triples that list all the associated concepts from various ontologies as its final product. Domain experts will review these triples outside of the band to ensure that only true concepts and triples are chosen for the alignment. In comparison to using the ontologies separately, the aligned ontology enables extended querying and inference across related ontologies and domains. Considering metrics like recall, precision, and F-measure, the experimental evaluation was performed utilizing the datasets for classes alignment, property alignment, and instances alignment. The proposed architecture provides a recall, precision, and F-measure of 0.92, 0.99, and 0.83 respectively which reveals that this model outperforms the traditional methods.
Keywords: Generative adversarial network | Ontology alignment | IoT and OntoGenerator and OntoLSTM
مقاله انگلیسی
8 Code as constitution: The negotiation of a uniform accounting code for U:S: railway corporations and the moral justification of stakeholder claims on wealth
کد به عنوان قانون اساسی: مذاکره در مورد یک کد حسابداری یکسان برای شرکت های راه آهن ایالات متحده و توجیه اخلاقی ادعاهای سهامداران در مورد ثروت-2021
Economic historians of the United States identify the railway industry of the nineteenth century as the birthplace of existing institutions of corporate finance, law, and labor relations (Chandler, 1990; Perrow, 2002; Thomas, 2011). This paper shows that the railway industry was also an important arena for the standardization of corporate accounting in the U. S., and that railway accountants played a significant role in the federal government’s earliest attempts to regulate large corporations. The paper describes how railway accountants worked with the first federal regulator of corporations, the Interstate Commerce Commission (ICC), created by act of Congress in 1887, to create a uniform accounting code for the railway industry. This code was designed by the prominent economist and ICC statistician Henry Carter Adams to serve as a mechanism for the administrative supervision of railway corporations: a “cognitive equivalent of a constitution” (Starr, 1987, p. 53) that would promote economic democracy by protecting the property rights of non-controlling stakeholders in the railway system: shippers who used the trains to send goods to markets, long-term investors in railway shares and bonds, consumers of shipped goods, and members of the communities that the railways connected and employed. Railway accountants working with Adams created the rules for answering “potentially divisive questions of fact” (Starr, 1987, p. 53) about who contributed how much to the assets and profits of the railway corporation, and thus provided moral justification for how claims on those assets and profits were distributed.
مقاله انگلیسی
9 Refraction seismic complementing electrical method in subsurface characterization for tunneling in soft pyroclastic, (a case study)
روش الکتریکی تکمیلی لرزه‌ای شکست در شناسایی زیرسطحی برای تونل‌زنی در آذرآواری نرم (مطالعه موردی)-2021
The paper highlights the potential drawback of mapping a single geophysical property for subsurface characterization in potential engineering sites. As an exemplary case study, we present the geophysical survey conducted along the surface projection of a tunnel in the quaternary volcanic terrain of the Main Ethiopia Rift. Initially, geoelectrical mapping involving 12 Vertical Electrical Sounding (VES) and a short Electrical Resistivity Imaging (ERI) line, was carried out. The 1D geoelectric model indicates that the formation resistivity at tunnel zone varies from 50 to 500 Ω∙m. The corresponding value on 2D model, (>350 Ω∙m), is also compatible. Based on limited available geological information, the geoelectric horizon was attributed to weathered and variably saturated ignimbrite. Following unexpected encounter during excavation, refraction seismic and core drilling were carried out for additional insights. Tomographic analysis of the seismic arrival times revealed that below a depth of 45 m, (tunnel zone), the velocity substratum is marked by a range, (1200–1800 m/s). Such low velocity range is typical of unconsolidated materials and, thus, cannot rationalize the geoelectrical attribution (ignimbrite). In a joint interpretation, the likely formation that may justify the observed range of the electrical resistivity and low P-wave velocity appears to be unwelded pyroclastic deposit (volcanic ash). Eventually, core samples from the tunnel zone confirmed the presence of thick ash flow. However, the unexpected ground conditions encountered at the early phase, due to insufficient information derived from a single geophysical parameter, caused extra cost and considerable delay.
Keywords: Integrated approach | Refraction seismic | DC resistivity | Subsurface characterization | Main Ethiopian Rift (MER)
مقاله انگلیسی
10 Tax accounting research on corporate investment: A discussion of the impact of IP box regimes on the M&A market by Bradley, Ruf, and Robinson (2021)
تحقیقات حسابداری مالیاتی در مورد سرمایه گذاری شرکت ها: بحث در مورد تاثیر رژیم های IP جعبه در M & Amp؛ بازار توسط برادلی، روف و رابینسون (2021)-2021
In The Impact of IP Box Regimes on the M&A Market, Bradley, Robinson, and Ruf (2021) study whether and to what extent tax incentives for intellectual property affect corporate M&A investment activity. The paper finds that a 1.0 percentage point tax benefit leads to a 1.2% increase in M&A activity in a country after the implementation of an Intellectual Property (IP) Box tax regime. Results vary based on country-specific IP Box requirements, as well as firm-specific characteristics such as patent ownership and acquirer nationality. My discussion offers more cautious interpretations of the empirical results related to statutory country-specific requirements of these regimes and raises concerns about the type and timing of firm responses. More generally, I outline how this paper and other work by tax researchers in Accounting contributes to the broader literature studying the relation between corporate tax policies and investment activity.
keywords: جعبه IP | جعبه نوآوری | سرمایه گذاری | مالیات | IP box | Innovation box | Investment | Tax
مقاله انگلیسی
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