Reviewerly/exHarmony huggingface dataset:
High speed data access algorithm for automatic weather station NAND flash extended storage based on STM32

With the development demand of refined meteorological services and short-impending prediction, especially the requirement of "meteorological observation data to the forecaster's desk within one minute", higher software and hardware design requirements are put forward for the system performance of automatic weather station, such as large capacity, high-speed real-time performance and accuracy etc.Large capacity storage and high-speed real-time accurate reading and writing in the automatic weather station are the most front-end key points in the application of meteorological observation data transmission. The physical structure of NAND flash memory chip-K9LBG08U0M is analyzed based on the design of STM32 FSMC external scalable storage. The immediate mapping and addressing between the observation data and the physical address of the corresponding flash memory is established by taking the time offset of the observation data, which is the only primary key to one-to-one mapping relationship between them, and then high speed observation data access algorithm of the automatic weather station is generated, combining the storage characteristics of Nandflash. The observation data reading and writing of automatic weather stations are real-time, high-speed, accurate and stable, which is shown by the practical observation application of over 3000 automatic weather stations in the whole province, meeting the high-quality business development demand of "one minute to desktop" meteorological data from observation to forecast.
Dynamic Self-dual DeepBKZ Lattice Reduction with Free Dimensions

Nakamura, Satoshi Ikematsu, Yasuhiko Yasuda, MasayaLattice basis reduction is a mandatory tool to solve lattice problems such as the shortest vector problem (SVP), whose hardness assures the security of lattice-based cryptography. The most famous reduction is the celebrated algorithm by Lenstra-Lenstra–Lovász (LLL), and the block Korkine–Zolotarev (BKZ) is its blockwise generalization. At present, BKZ and its variants such as BKZ 2.0 are a de facto standard reduction algorithm to estimate the security level of lattice-based cryptosystems. Recently, DeepBKZ was proposed as a mathematical improvement of BKZ, in which LLL with deep insertions (DeepLLL) is called as a subroutine alternative to LLL. In this paper, we develop a new self-dual variant of DeepBKZ to obtain a reduced basis. Different from conventional self-dual algorithms, we select suitable free dimensions to reduce primal and dual lattice bases in our variant. We also report experimental results to compare our self-dual DeepBKZ with primal BKZ and DeepBKZ for several random lattice bases.
Self-supervised representation learning via adaptive hard-positive mining

Despite their success in perception over the last decade, deep neural networks are also known ravenous to labeled data for training, which limits their applicability to real-world problems. Hence self-supervised learning has recently attracted intensive attention. Contrastive learning has been one of the dominant approaches for effective feature extraction and has also achieved state-of-the-art performance. In this paper, we first theoretically show that these methods cannot fully take advantage of training samples in the sense of nearest positive samples mining. Then we propose a new contrastive method called AdaCLRpre (adaptive self-supervised contrastive learning representations), which can more effectively (supported by our proof) explore the samples in a way of being closer to supervised contrastive learning. We thoroughly evaluate the quality of the learned representation on ImageNet for pretraining based version (AdaCLRpre). The results of accuracy show AdaCLRpre outperforms state-of-the-art contrastive-based models by 3.0\% with extra 100 epochs.
Hierarchical-Task Reservoir for Online Semantic Analysis From Continuous Speech

In this article, we propose a novel architecture called hierarchical-task reservoir (HTR) suitable for real-time applications for which different levels of abstraction are available. We apply it to semantic role labeling (SRL) based on continuous speech recognition. Taking inspiration from the brain, this demonstrates the hierarchies of representations from perceptive to integrative areas, and we consider a hierarchy of four subtasks with increasing levels of abstraction (phone, word, part-of-speech (POS), and semantic role tags). These tasks are progressively learned by the layers of the HTR architecture. Interestingly, quantitative and qualitative results show that the hierarchical-task approach provides an advantage to improve the prediction. In particular, the qualitative results show that a shallow or a hierarchical reservoir, considered as baselines, does not produce estimations as good as the HTR model would. Moreover, we show that it is possible to further improve the accuracy of the model by designing skip connections and by considering word embedding (WE) in the internal representations. Overall, the HTR outperformed the other state-of-the-art reservoir-based approaches and it resulted in extremely efficient with respect to typical recurrent neural networks (RNNs) in deep learning (DL) [e.g., long short term memory (LSTMs)]. The HTR architecture is proposed as a step toward the modeling of online and hierarchical processes at work in the brain during language comprehension.
On strongly walk regular graphs, triple sum sets and their codes

Abstract Strongly walk regular graphs (SWRGs or s -SWRGs) form a natural generalization of strongly regular graphs (SRGs) where paths of length 2 are replaced by paths of length s . They can be constructed as coset graphs of the duals of projective three-weight codes whose weights satisfy a certain equation. We provide classifications of the feasible parameters of these codes in the binary and ternary case for medium size code lengths. For the binary case, the divisibility of the weights of these codes is investigated and several general results are shown. It is known that an s -SWRG has at most 4 distinct eigenvalues $$k&gt; \theta _1&gt; \theta _2 &gt; \theta _3$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>k</mml:mi> <mml:mo>&gt;</mml:mo> <mml:msub> <mml:mi>θ</mml:mi> <mml:mn>1</mml:mn> </mml:msub> <mml:mo>&gt;</mml:mo> <mml:msub> <mml:mi>θ</mml:mi> <mml:mn>2</mml:mn> </mml:msub> <mml:mo>&gt;</mml:mo> <mml:msub> <mml:mi>θ</mml:mi> <mml:mn>3</mml:mn> </mml:msub> </mml:mrow> </mml:math> , and that the triple $$(\theta _1, \theta _2, \theta _3)$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mo>(</mml:mo> <mml:msub> <mml:mi>θ</mml:mi> <mml:mn>1</mml:mn> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>θ</mml:mi> <mml:mn>2</mml:mn> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>θ</mml:mi> <mml:mn>3</mml:mn> </mml:msub> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> satisfies a certain homogeneous polynomial equation of degree $$s - 2$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>s</mml:mi> <mml:mo>-</mml:mo> <mml:mn>2</mml:mn> </mml:mrow> </mml:math> (Van Dam, Omidi, 2013). This equation defines a plane algebraic curve; we use methods from algorithmic arithmetic geometry to show that for $$s = 5$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>s</mml:mi> <mml:mo>=</mml:mo> <mml:mn>5</mml:mn> </mml:mrow> </mml:math> and $$s = 7$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>s</mml:mi> <mml:mo>=</mml:mo> <mml:mn>7</mml:mn> </mml:mrow> </mml:math> , there are only the obvious solutions, and we conjecture this to remain true for all (odd) $$s \ge 9$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>s</mml:mi> <mml:mo>≥</mml:mo> <mml:mn>9</mml:mn> </mml:mrow> </mml:math> .
Preliminary Results of a Multi-Vocal Literature Review of Blockchain Networks

Blockchain technology has fostered many projects, which have seen in it an alternative to carry out data management without relying on a trusted third party. However, business are failing to adopt this technology, and many applications are left over to proof of concepts. Furthermore, new Blockchain networks are emerging every year, hindering the decision to use this technology. The objective of this work is to have preliminary results on identifying available Blockchain networks. Recognizing their main characteristics: the type of consensus algorithm, centralization, and origin of the network, among others. We carried out a Multi-Vocal Review to identify the available Blockchain networks and analyze their most relevant characteristics. Resulting in a characterization of 112 Blockchain networks, offering a guide for the software developer, so that strategic decisions can be made when incorporating this technology.
Presenting and Evaluating Scaled Extreme Programming Process Model

Extreme programming (XP) is one of the widely used software process model for the development of small scale projects from agile family.XP is widely accepted by software industry due to various features it provides such as: handling frequent changing requirements, customer satisfaction, rapid feedback, iterative structure, team collaboration, and small releases.On the other hand, XP also holds some drawbacks, including: less documentation, less focus on design, and poor architecture.Due to all of these limitations, XP is only suitable for small scale projects and doesn't work well for medium and large scale projects.To resolve this issue many researchers have proposed its customized versions, particularly for medium and large scale projects.The real issue arises when XP is selected for the development of small scale and low risk project but gradually due to requirement change, the scope of the project changes from small scale to medium or large scale project.At that stage its structure and practices which works well for small project cannot handle the extended scope.To resolve this issue, this paper contributes by proposing a scaled version of XP process model called SXP.The proposed model can effectively handle such situation and can be used for small as well as for medium and large scale project with same efficiency.Furthermore, this paper also evaluates the proposed model empirically in order to reflect its effectiveness and efficiency.A small scale client oriented project is developed by using proposed SXP and empirical results are collected.For an effective evaluation, the collected results are compared with a published case study of XP process model.It is reflected by detailed empirical analysis that the proposed SXP performed well as compared to traditional XP.
Development of professional competence of present and future teachers under the conditions of transformational processes in education

Currently, the modern education system is in the process of transformation processes. One of thedirections of reforming the education system in Ukraine should be directed at improving the level ofprofessional competence of teachers, their knowledge, skills and abilities. The purpose of theacademic paper is to study approaches to the formation of professional competence of present andfuture teachers under the conditions of transformational processes in education. The followingscientific methods have been used in the academic paper, namely: methods of theoretical analysis anddescription – in order to reveal the theoretical and methodological aspects of the development ofteachers’ professional competence in the conditions of transformational processes in education;methods of grouping, comparison and synthesis - to consider the features of the development ofprofessional competence of teachers in Canada and Ukraine. In Canada, the development ofprofessional competence of modern teachers involves the preparation of an exam by educators, whichwould certify the high level of their effectiveness. Intercultural competence-based teaching methods,introduced at higher educational institutions in Canada, have a positive effect on the formation ofprofessional competences of future teachers. In Ukraine, the key directions for improving the level ofprofessional competence of both present and future teachers should be professional selfimprovement,which is achieved through purposeful self-educational activity. The professionalactivity of a teacher should include love for children, pedagogical foresight, knowledge of the subjectof activity, pedagogical tact, innovative scientific and pedagogical thinking. The development ofprofessional competence is a dynamic process of assimilation and modernization of professionalexperience, which leads to the development of individual professional qualities, the accumulation ofprofessional experience, which involves continuous development and self-improvement. Theprofessional competence of teachers allows not only applying basic knowledge and skills, but it alsoforms the ability to carry out practical activities in specific professional situations; it provides creativeJournal for Educators, Teachers and Trainers JETT, Vol. 11 (1); ISSN: 1989-9572 58solutions to professional problems and makes it possible to easily navigate in a professionalenvironment and possess a culture of work. The formation of teachers’ professional competenceshould be carried out on the basis of the general provisions of the system approach and the use ofother scientifically sound approaches.
Vector Representations of Idioms in Chatbots

Open-domain chatbots have advanced but still have many gaps. My PhD aims to solve a few of those gaps by creating vector representations of idioms (figures of speech) that will be beneficial to cha ...
How Do Image Description Systems Describe People? A Targeted Assessment of System Competence in the PEOPLE-domain

Evaluations of image description systems are typically domain-general: generated descriptions for the held-out test images are either compared to a set of reference descriptions (using automated metrics), or rated by human judges on one or more Likert scales (for fluency, overall quality, and other quality criteria). While useful, these evaluations do not tell us anything about the kinds of image descriptions that systems are able to produce. Or, phrased differently, these evaluations do not tell us anything about the cognitive capabilities of image description systems. This paper proposes a different kind of assessment, that is able to quantify the extent to which these systems are able to describe humans. This assessment is based on a manual characterisation (a context-free grammar) of English entity labels in the PEOPLE domain, to determine the range of possible outputs. We examined 9 systems to see what kinds of labels they actually use. We found that these systems only use a small subset of at most 13 different kinds of modifiers (e.g. tall and short modify HEIGHT, sad and happy modify MOOD), but 27 kinds of modifiers are never used. Future research could study these semantic dimensions in more detail.
Communication Strategies Used by EFL Learners in Task-Based English Debate

This research aims to describe the use of communication strategies in an EFL classroom during the completion of task-based debate activity. This research was conducted in an English course located in Sidoarjo. The subject of this study are 10 EFL intermediate level students. In line with that reason, this research is a qualitative study since it focuses on the depth of the comprehension of the communication strategies data rather than computing it. For obtaining the data, the researcher do observation and records learners’ verbal and non-verbal behaviour based on Dornyei (1995) taxonomy of communication strategies during the debate activity. The result showed that all taxonomies by Dornyei are used by the subjects i.e avoidance strategies, achievement strategies, and stalling strategies in the debate. There are various reason for leaners to choose those strategies to overcome their communication breakdowns during the short-time debate between speakers such as because it’s time-efficient, less confusing, and sound trustworthy to lengthen their time to think, keep the communication channel at hand, and keep up the discourse at the moment when learners face the difficulties. As the conclusion, English debate activity is considered as one of the task that promotes students-centered learning in a TBLT class, provides opportunities for students to speak Engish, and challenge students to use their language sources to strengthen their arguments. In the debate, learners mostly applied stalling strategies such as fillers since is considered very easy and quick for learners to use when they encounter problems such as nervous, lack of vocab, and lack of grammar structure in the English debate activities.&#x0D; Keywords: Communication strategies, task-based learning, English debate.
IMM-EKF Based GPS/INS Combined Positioning Method for Drone

Satellite navigation system is currently the most widely used positioning and navigation infrastructure. It can provide users with outdoor real-time, high-precision location information, but it is susceptible to environmental occlusion and carrier motion interference, making location availability poor. This paper addresses the needs of UAVs for high accuracy and high availability of position information, using inertial devices and satellite navigation systems for integrated navigation, and proposes a multi-model filtering method for tracking different motion models and filtering to improve the fusion positioning Accuracy and robustness, enabling high-precision, high-availability positioning in complex environments. And by simulating the uniform velocity motion (CV), uniform acceleration motion (CA) and uniform turning motion (CT) of the UAV, the positioning performance of the method is analyzed. From the simulation results, the method improves the integration of inertial navigation and GPS. Positioning accuracy and reliability.
A Survey of the Development of Artificial Intelligence Technology

Artificial intelligence technology is currently a hot spot for research and application, and the new cross-technology formed by artificial intelligence and multiple technologies has been widely used in Internet, finance, security and other industries. This paper first introduces the development of artificial intelligence, and then analyzes the key technologies of artificial intelligence, including computer vision, machine learning, natural language processing, human-computer exchange, virtual reality, biometric recognition, etc. Finally, the development trend of artificial intelligence technology is described.
A Coherence Analysis Model for English Essay Based on Sentence Semantic Graph

Abstract Aiming at the problem that cannot be solved by the entity-based graph model, we propose a new discourse coherence quality analysis model (sentence semantic graph) by merging entity graph and semantic similarity graph of the text. Firstly, we use an improved coreference resolution module to process the coreference phenomenon in the text, and build a new type of entity graph with the processed results; secondly, we merge the entity graph and the semantic similarity based on the semantic space and get our sentence semantic graph lastly, we analyze the average outdegree of sentence semantic graph to indicate the degree of text coherence. Experiments show that this model is superior to the entity-based graph model and has a good effect on the automatic evaluation of English essay.
GUIDING UNMANNED AERIAL VEHICLE PATH PLANNING DESIGN BASED ON IMPROVED ANT COLONY ALGORITHM

This paper is speciﬁc to the requirements of guiding ﬂight andnavigation control of an unmanned aerial vehicle (UAV) and theproblems such as slow convergence rate and unreasonable pathplanning occurred in the path planning of a traditional ant colonyalgorithm.
Protocols of immersive web

The aim of this article is to describe and explain the role of WebXR APIs which nowadays are used to develop XR (virtual and augmented reality) applications, enjoyable by users through the browsers in the so-called Immersive Web. Starting from a general definition of APIs as “protocological objects”, we will firstly highlight the contractual and inter-social nature of these interfaces, in order to understand how their design by a company determines how the users interact with the information and the functionalities provided and, finally, with the real world through applications developed with such APIs; these provide a set of operational possibilities through which the user can augment the physical surrounding world, and therefore constitute the result of a negotiation among the user and the developers of the application. Finally, the conclusions will consider the fervent experimentation that characterizes the search for drastic solutions, like the AR Cloud, where the promise of a physically and digitally fully interconnected world grows up in a similar way to the one that saw the birth of the Internet, in a collaborative and open way, in contrast with development kits released and owned by companies.
Suction-port Position Control for Vacuum Working Robot to Improve Working Efficiency

When cleaning the dirt pile around the conveyor with a vacuum car, there are problems that workers collide with falling iron ore and suffer health problems by breathing in dust. Therefore, it is necessary to develop a robot that performs the cleaning with a vacuum car instead of workers. Many studies on robots that perform cleaning work have discussed about automation and cleaning efficiency such as automatic mapping and coverage path planning. However, there is no discussion about cleaning efficiency and automation of robots that can perform the cleaning with a vacuum car. To perform the cleaning efficiently, it is necessary to avoid cleaning the same place several times and leaving uncleaned areas because it increases the cleaning time. Therefore, in this study, we first formulated the area where the hose sucks the dirt pile. Then, we proposed a method to derive the optimal path that minimizes the cleaning time. Furthermore, we developed a control system that realizes the optimal path. Finally, we conducted a verification experiment assuming an aisle next to the conveyor. In the experiment, it was confirmed that the coincidence rate with the optimal path was about 70% by the suction-port position control system.
Adaptive threshold modeling algorithm for monitoring indicators of power network server based on Chebyshev inequality

Abstract The business system server under the IT automation operation and maintenance platform generates massive data samples, based on which the threshold can be set to realize the allocation and management of hardware resources. The traditional threshold selection method is to determine an appropriate threshold based on human experience. If the threshold is too high, it will not play its due role. But if the threshold is too low, it will frequently produce false positives. To solve this problem, an adaptive threshold method based on Chebyshev inequality theory combined with kernel density estimation is proposed to determine monitoring indexes, and a new dynamic implicit threshold model is established to analyse the data generated by the business system server for real-time monitoring and alarm processing. Through the experimental study on the CPU utilization data of the power grid server, lower missing and false positive rate are obtained, which verifies the feasibility and effectiveness of the proposed method.