Reviewerly/exHarmony huggingface dataset:
Intrinsic-Image Deriving and Decomposition

Extracting or separating intrinsic information and illumination from natural images is important for better solving robot vision tasks. In this chapter, we first derive grayscale intrinsic images based on the tricolor attenuation model and the tricolor linear model. To obtain color intrinsic images, we then propose a pixel-wise orthogonal decomposition model for outdoor image illumination processing. In our model, we set up a linear equation set for each pixel value vector based on physically based shadow invariants, deduce a pixel-wise orthogonal decomposition for its solutions, and then get an illumination-invariant vector for each pixel value vector on an image. Only requiring pixel-wise calculation, our physical illumination modeling for color illumination-invariant image can be further applied to real-time applications to resist illumination variation. Finally, we present a new illumination-based color space, the intrinsic information and lighting level (IL) space. Its first two channels represent 2D intrinsic information, and the third channel is for lighting levels. The IL color space has a one-to-one correspondence with the RGB color space. One valuable benefit of the IL color space is that illumination-related processing can be realized by directly operating on the lighting channel. As an example, based on the extracted lighting channel, we propose a new algorithm to estimate the intrinsic-lighting level of an image such that the shadow-free color image and relighting series are obtained.
Inter-generational comparison of quantum annealers in solving hard scheduling problems

Abstract We compare the performance of four quantum annealers, the D-Wave Two , 2X , 2000Q , and Advantage in solving an identical ensemble of a parametrized family of scheduling problems. These problems are NP-complete and, in fact, equivalent to vertex coloring problems. They are also practically motivated and closely connected to planning problems from artificial intelligence. We examine factors contributing to the performance differences while separating the contributions from hardware upgrades, support for shorter anneal times, and possible optimization of ferromagnetic couplings. While shorter anneal times can improve the time to solution (TTS) at any given problem size, the scaling of TTS with respect to the problem size worsens for shorter anneal times. In contrast, optimizing the ferromagnetic coupling improves both the absolute TTS and the scaling. There is a statistically significant improvement in performance between D-Wave Two and 2X and from all older generation annealers to Advantage, even when operated under identical anneal time and ferromagnetic couplings. However, the performance improvement from 2X to 2000Q requires the anneal time and ferromagnetic couplings to be optimized. Overall, owing to these inter-generational hardware improvements and optimizations, the scaling exponent reduces from $$1.01 \pm 0.01$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>1.01</mml:mn> <mml:mo>±</mml:mo> <mml:mn>0.01</mml:mn> </mml:mrow> </mml:math> on Two to $$0.259 \pm 0.008$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>0.259</mml:mn> <mml:mo>±</mml:mo> <mml:mn>0.008</mml:mn> </mml:mrow> </mml:math> on Advantage.
Research of Second-Order Properties of NLFSR. Comparative Analysis of M-NLFSR and M-LFSR

The linear complexity (Li) of PRS is the shortest shift register, which generates a given periodic sequence, provided that the first L values of the sequence are the initial filling of the register.
Construction of a Generator of a Random Cryptographically Strong Sequence Based on a Group of Curve Points

A solution for the inverse doubling problem is obtained for elliptic curves represented in the twisted Edwards form. Estimates of the complexity of the division operation into two are obtained in comparison with the doubling of the point. One of the applications of the divisibility properties of a point into two is considered to determine the order of a point in a cryptosystem. The possibility of constructing a twisted Edwards curve of order $$4p,\,\,p \in {\mathbf{P}}$$ , i.e., having the cofactor four, has been found. The possibility of using these curves to generate a long-term crypto-resistant sequence is shown. Pairing-friendly curves of prime or near-prime order are essential for certain pairing-based schemes such as for short signatures which feature a longer useful life.
Component detection of electronic ceramic composite in battery based on CNN convolution neural network

When the common methods are used to detect the composition of composite materials, the detection time is long and the accuracy is low. Therefore, a method based on CNN convolution neural network is proposed to detect the composition of electronic ceramic composite materials in batteries. The near-infrared image of the lossless area of the electronic ceramic composite is collected by locating the lossless area of the electronic ceramic composite and keeping the battery in a high temperature state. Through color correction and geometric correction, the near-infrared image is preprocessed, and the image features are extracted. Then the image features are input into CNN convolution neural network to iteratively train and learn the image features and judge the composition of the electronic ceramic composite. The experimental results show that the design method improves the detection accuracy of composite material composition and shortens the detection time.
The Effect and Strategy of Chinese Teaching for Minority Preparatory Students in Colleges and Universities under the New Media Environment

New media provides more possibilities for the innovation of Chinese teaching methods, the enrichment of teaching content, the integration of teaching situation and the improvement of teaching effect. In order to explore the Chinese teaching effect of minority preparatory students, this study compared the Chinese test scores and non intelligence factors between the experimental class and the control class. The results show that, compared with the control class which adopts the traditional teaching method, the experimental class which integrates the new media into the Chinese teaching effectively promotes the overall improvement of the Chinese performance of the minority preparatory students, controls the two-level differentiation, and cultivates the non intellectual factors such as the interest and confidence of the minority preparatory students in Chinese learning. The main reason is that the experimental class teachers make full use of micro video, audio, courseware, MOOC and other new media forms for minority preparatory students with weak language foundation. They give full play to the advantages of new media, such as visual, open and efficient, enrich the content and form of Chinese teaching, and stimulate students' initiative and enthusiasm in learning Chinese.
Construction of College Physical Education Teaching Model Based on Multi-level Grey Evaluation

Sports assessment is an important part of sports activities and plays an important role in promoting quality education and promoting healthy development. Physical assessment can motivate students to actively participate in physical exercises, and can monitor and feedback students' learning effects, health status, and health status in time. The physical condition of students is closely related to the quality of school physical education, and the quality of school physical education is an important factor affecting the physical health of students. In the development of modern education and the education affected by the implementation of the new curriculum standards, traditional teaching models and teaching concepts can no longer meet the development needs of modern education and education. The current overall training content is not perfect enough, and a single evaluation method cannot reflect the importance of sports evaluation. This article proposes a strategy for establishing a college physical education model, based on a multi-level gray evaluation method, to continuously improve the content of the education and teaching evaluation model, enrich the content of education and teaching, and improve the quality of college physical education.
Radar signal sorting based on TOA key matching and square sine wave interpolation

Pulse repetition interval (PRI) is an important parameter to realize the de-interlacing of radar signals. With the increasing complexity of radar modulation methods and the increasing density of radar signal environment, the existing PRI sorting algorithm can no longer effectively realize radar signal sorting. For this reason, a comprehensive sorting algorithm based on time of arrival (TOA) midpoint matching and square sine wave interpolation is proposed. This method uses TOA midpoint matching to propose PRI periodic modulated radar signals, and uses square sine wave interpolation to sort PRI non-periodic modulated signals. The implementation results show that the integrated method can adapt to the complex signal environment and can effectively suppress the pulse loss.
Optimistic Entanglement Purification With Few Quantum Memories

Entanglement generation over large distances is a challenging task due to photon loss, which grows exponentially with link length (e.g., optical fiber). Moreover, EPR pair generation over noisy channels results in imperfect states. Thus, a link is associated with a success probability and an initial fidelity for successfully-generated entanglement. Over time, fidelity de-creases due to environmental noise. Entanglement purification is a way of probabilistically increasing state fidelity. Traditionally, purification protocols perform the following steps: generate two or more EPR pairs between two nodes, execute a series of quantum gates on both sides, and exchange results via classical messages. In this work, we propose a twist on the original entanglement pumping scheme, wherein a fixed number of purification steps are performed successively, before the classical information exchange. This modification introduces optimism to the overall procedure, such that classical communication is performed only at the end, to check the measurement results. The protocol is also optimistic about entanglement generation and does not wait for heralding signals before attempting purification. We study the effect of being optimistic on fidelity and the waiting time to generate an entangled pair as a function of the distance between network nodes. We observe an improvement in both fidelity and expected waiting time. We also study the effect of the number of purification steps on fidelity and latency and observe that typically no more than two or three purification steps are needed when limited by only two memories.
Developing an open source mobile app in library services: the case of a national university in Malaysia

Purpose A surge of library activities and technological advances have increased the demand for data accuracy and agility among library clientele. Therefore, novel approaches are needed to extend library services. This paper aims to introduce the implementation of a prototype mobile library application (app) designed using an in-house open source system, Koha. Design/methodology/approach This paper presents a case study using a metamorphosis process to create mobile apps. This case study is tested based on the library services with a set of activities during the system acceptance test (SAT) and also user acceptance test (UAT). An application programming interface (API) used to support two-way communication, including system-to-component and system-to-system connectivity. The design, features and advantages of this mobile app are discussed, illustrated and analyzed. The case study reports the mobile app version development from the Koha Open Source Library Information System. Findings The app was tested using user acceptance test (UAT) and system acceptance test (SAT) by library staffs who found it functional, accessible, appealing and useful. Features such as Online Public Access Catalog search, library collection scanning, patron accounts, patron personal book collection, circulation, librarian chat, QR codes for borrowing books, social media integration and notifications of library activities and events were successfully tested. This process was useful for the creation of a mobile app based on the existing library System-Koha Open Source System. Research limitations/implications This study is limited to a case study of a national university in Malaysia. Practical implications This study has some practical implications for implementing library mobile applications, e.g. it will encourage librarians to implement library applications in libraries. Originality/value This study is useful for mobile developers and libraries that plan to offer mobile library services to their patrons. This paper presents a case study of metamorphosis existing process of library open source System-Koha Open Source System.
Robustness of Hopfield Neural Networks Described by Differential Algebraic Systems of Index-1 under the Conditions of Deviation Argument and Stochastic Disturbance

Robustness refers to the ability of a system to maintain its original state under a continuous disturbance conditions. The deviation argument (DA) and stochastic disturbances (SDs) are enough to disrupt a system and keep it off course. Therefore, it is of great significance to explore the interval length of the deviation function and the intensity of noise to make a system remain exponentially stable. In this paper, the robust stability of Hopfield neural network (VPHNN) models based on differential algebraic systems (DAS) is studied for the first time. By using integral inequalities, expectation inequalities, and the basic control theory method, the upper bound of the interval of the deviation function and the noise intensity are found, and the system is guaranteed to remain exponentially stable under these disturbances. It is shown that as long as the deviation and disturbance of a system are within a certain range, there will be no unstable consequences. Finally, several simulation examples are used to verify the effectiveness of the approach and are described below.
Hybrid Encryption in Correlated Randomness Model

A hybrid encryption scheme uses a key encapsulation mechanism (KEM) to generate and establish a shared secret key with the decrypter, and a secret key data encapsulation mechanism (DEM) to encrypt the data using the key that is established by the DEM. The decrypter recovers the key using the ciphertext that is generated by the KEM, and uses it to decrypt the ciphertext that is generated by the DEM.We motivate and propose hybrid encryption in correlated randomness model where all participants including the eavesdropper, have access to samples of their respective correlated random variables. We define information-theoretic KEM (iKEM), and prove a composition theorem for iKEM and DEM that allows us to construct an efficient hybrid encryption system in correlated randomness model, providing post-quantum security. The construction uses an information-theoretic one-way secret key agreement (OW-SKA) protocol that satisfies a new security definition, and a one-time symmetric key encryption system that can be implemented by XORing the output of a (computationally) secure pseudorandom generator with the message. We discuss our results and directions for future work.
Methodological bases for the design offlexible educational programs in a network format

At present, profound changes are taking place in the system of higher education in Russia: goals, strategies, objectives and content of education, as well as the ways of organizing the educational process, are radically changing. One of the priority areas ensuring the transformation of the higher education system is the introduction of network educational programs. The study of the methodological foundations of their design is relevant and necessary today. The research problem: characteristics of network educational programs and methodological foundations of their design to ensure maximum flexibility of the educational trajectory within the framework of network interaction. The purpose of the research is determination of the methodology for constructing effective network educational programs, based on the formation of the student's personality and his practical preparation for future professional activity through individual development. The research methods are critical analysis of pedagogical, psychological and regulatory sources, design, modeling, systematization. The results of the research: changes in the technological, substantive and technical plan in the design of educational programs have been analyzed, the necessity of technological elaboration of psychological and pedagogical support of the educational process has been substantiated for the flexibility of educational programs and the development of individual learning paths; building a competence model of a specialist and strengthening practical training in the implementation of projectbased modular training in the format of network educational programs have been emphasized; the role of motivational behavior of students and teachers has been determined; the principles of network learning have been formulated; the experience of designing and implementing network educational programs at RANEPA and VAVT have been analyzed. Key findings: network education and introduction of flexible educational programs have defined a new methodological platform and architecture for higher education. The analysis of fundamental changes in personal, behavioral and cognitive development of modern youth under the influence of electronic media and their accounting will allow educational organizations of the higher education system to innovatively approach the development of content, learning technologies and to develop new criteria for assessing the quality of education at a university. Designing flexible educational programs in a network format based on the studied methodology provides an opportunity for Russian universities to develop a networked format of education effectively, increase the academic mobility of students and teachers, provide flexibility in the educational path of learning, and significantly raise the prestige of Russian education in the global educational space.
Poly Encrypted Text Based on Dynamic Selection and Chaotic Behavior

Indeed, the current cryptography suffers from the rise of the computing power of computers and the advent of quantum computers could be the death knell of these algorithms. Therefore, with this paper, we present a new encryption approach based on chaotic outputs to insure more protection. This approach combines two encryption techniques in addition to random permutation. The first one consists to put in disorder binary data and the second technique is based on conditional logical function. The choice between those two techniques is perfectly random and generated from chaotic outputs. Each process has her own keys which make the encryption more complicated.
A Consistency Analysis of Different NLP Approaches for Reviewer-Manuscript Matchmaking

Selecting a potential reviewer to review a manuscript, submitted at a conference is a crucial task for the quality of a peer-review process that ultimately determines the success and impact of any conference. The approach adopted to find the potential reviewer needs to be consistent with its decision of allocation. In this work, we propose a framework for evaluating the reliability of different NLP approaches that are implemented for the match-making process. We bring various algorithmic approaches from different paradigms and an existing system Erie, implemented in IEEE INFOCOM conference, on a common platform to study their consistency of predicting the set of the potential reviewers, for a given manuscript. The consistency analysis has been performed over an actual multi-track conference organized in 2019. We conclude that Contextual Neural Topic Modeling (CNTM) with a balanced combinatorial optimization technique showed better consistency, among all the approaches we choose to study.
Infrastructure-supported Cooperative Tracking Using Gaussian Mixture Probability Hypothesis Density

In recent years, targets tracking plays an important role in the rapidly expanding field of autonomous driving. With the presentation of Vehicle-to-Everything (V2X) communication standards and Mobile Edge Computing (MEC) technology, the cooperative tracking method that relies on roadside infrastructure can provide connected traffic participants with higher-precision information. However, in the actual intersection scenes, small targets such as pedestrians are at close range and are easy to be occluded for a long time in the intersection scenes. In this paper, we propose a novel framework for cooperative tracking of radars and cameras, and focuses on a modified method of Gaussian Mixture Probability Hypothesis Density Filter (GM-PHD) for occluded objects, and finally, we evaluate the performance of the algorithm on a real intelligent intersection platform. The result shows that the modified GM-PHD improves tracking performance by 69.6% compared with the traditional association-based method, and by 70.5% compared with the original GM-PHD. Consequently, the proposed method can effectively enhance the security and reliability of autonomous driving assistance systems, and its application has potential to support the construction of smart cities.
On The Improper Use of Information Technology in Education and Teaching in China

With the development of science and technology, information technology plays a very significant role in improving the effect of education and teaching in China, especially in dealing with the uneven teaching resources, the inability of high-quality teachers to benefit more people, and the incomprehension of abstract and obscure knowledge. However, because the teachers' mastery and understanding of information technology are different, the phenomenon of informatization for the sake of educational informatization often appears, ignoring the essence of education and teaching. This paper discusses the improper use of information technology in education and teaching in China and the relevant measures to solve this problem.
Investigating Access in Ubiquitous Scenarios: A Case Study and Evaluation Instrument

Ubiquitous computing brings new possibilities of contemporary technologies for designing new scenarios of interaction. New challenges are also raised, for example, regarding the access of people in these scenarios, which has not been covered by formal accessibility standards yet. This paper investigates aspects of accessibility in these scenarios. The study is conducted through analysis of guidelines and success criteria of standard instruments (the Universal Design and the WCAG) applied to scenarios of socioenactive systems (systems are constituted by a coupled tripartite relationship among the social, the physical and the digital components). A case study is presented to analyze the applicability of the standard instruments and to raise accessibility challenges in socioenactive scenarios. The main contributions of this paper are: 1) an instrument to evaluate access to ubiquitous scenarios; 2) A practical study with two installations; 3) Possibilities of informing the evaluation of access in ubiquitous scenarios.