Reviewerly/exHarmony huggingface dataset:
Analyzing Solar Resource Variability: A Case Study in Taiwan

Analyzing solar resource variability plays a crucial role in the rapid growth of photovoltaic interconnections. The statistics of solar-resource variability can provide useful information to system operators for planning primary frequency regulation, various types of reserves, or even storage systems. This paper surveys various well-established metrics to evaluate solar resource variability. The measured data with a 5-min resolution at eight PV sites in Taiwan were collected. These data include solar irradiance and solar power generation throughout 2019. The analyses include the temporal or spatial variability on both irradiance and solar power. Additionally, the correlation among various variability metrics are also examined in this paper.
minimo: a linked data and metadata storage system for small labs

minimo is a linked data and metadata storage system for small labs.It combines object storage for large raw data with a document database for metadata.It is simple, low-overhead, and modern.All too often we want to revisit data and struggle with a loss of context: old data is hard to find, hard to understand, hard to fuse.But if good hygiene is applied to the initial data commit process -i.e., if raw data are stored alongside metadata capturing the context in which they were collected or created -much of this trouble can be avoided.minimo encourages this sort of hygiene by providing a customizable interface for storing, linking, and accessing raw data and metadata.It sets the stage for reproducible science in the context of small labs that need a robust but lightweight solution to hygienic data storage.Raw data and metadata should be inseparably linked.This is the central principle of minimo.
FD-Band: A Ubiquitous Fall Detection System Using Low-Cost COTS Smart Band

Falls are the leading cause of fatal and non-fatal injuries for the elderly, and fall detection system is critical for reducing the aid response time. Wearable sensor-based system becomes popular for its convenience and non-invasion of privacy. In this paper, we focus on fall detection system to be integrated into low-cost COTS (Commercial Off-The-Shelf) smart band, which is expected to be worn by the elderly for a long time due to its advantages of low price and low power consumption. Aiming at the low sampling rate property inherent in such devices, we analyze the characteristic of fall signal and propose a system which achieve better accuracy by combining the features of time domain, time-frequency domain and instantaneous frequency. We further apply data augmentation mechanism to tackle the issue of fall data lack. Extensive experiments are conducted to evaluate the proposed system. The results demonstrate that our system can achieve over 98% accuracy on our dataset and 97% accuracy on open source dataset.
Data Range Query Privacy Protection Scheme Suitable for Multiple Users

In order to realize the retrieval of the ciphertext range of multiple users, a privacy protection scheme for multi-user data range query based on aggregated keys is proposed. In this scheme, the data has the aggregation key to generate them for multiple files. When an authorized user searches multiple files, the authorized user uses the aggregation key to generate an aggregation trapdoor, thus realizing multiple Batch search of files improves retrieval efficiency. In addition, when the authorized user retrieves the file returned by the cloud service, the authorized user performs data integrity verification with the data owner. Safety analysis shows that the solution meets the required functional query and safety protection.
System for Automatic Evaluation of Bug Report Quality

Quality of user written bug reports plays a significant role during software development process; therefore, a big challenge developers face is to ensure that their users give informative feedback regarding bugs in their software. As the projects scale, the amount of resources needed to process user feedback may outweighs the amount of resources available.The objective of this study is to find a way to automatically check if a report complies with guidelines set by the developer, to reduce lifetime of reports, by using algorithms to evaluate bug description together with steps to reproduce and give a final empirical score to the report.
Effect of Temperature on Path and Trajectory Tracking of Mobile Robots in a Cluttered Environment

This paper discusses the thermal effect of electronic components associated with the robotic systems. Due to low heat conduction properties of materials used in electronic equipment causes difficulty in heating/cooling uniformly or rapidly. These electronic parts have an operating temperature that directly affects the performance of the robot (i.e. speed, power, reliability, etc.). Therefore, the thermal management systems should be rigorously studied and designed carefully to meet the ideal working temperature of each component in the robot. In this study, an attempt has been made to see the behaviour of the mobile robot and its effect on path planning by changing the temperature of the environment. For this, the experiments have been conducted for various chosen environments, with an increment of 5 ℃ temperature change and the results are highlighted. The obtained results reveals that the path lengths increase proportionately due to incremental temperature change in the room. This may happen due to the heating of electronic components integrated into the electronic circuit board which affect the speed performance of the robotic system.
Corrigendum: Beyond Stereotypes: Analyzing Gender and Cultural Differences in Nonverbal Rapport

CORRECTION article Front. Psychol., 15 April 2021 | https://doi.org/10.3389/fpsyg.2021.675148
Parallel Computing for Gray Image Matching System

There are also some developments in the history of computer graphics, image technology, multimedia technology and artificial intelligence technology. Academia and industry began to pay attention to and discuss how to use computer hardware and software technology to make all kinds of unreal image works. However, in the current image non realistic rendering, especially in the painting technology, there are still many deficiencies and deficiencies. On the one hand, the computational efficiency of oil painting algorithm is still very low. Due to the huge amount of computation in the painting technology itself, the traditional painting algorithm does not optimize the multi-core processor, so the efficiency of the painting algorithm does not improve with the improvement of the level of computing hardware. Gray matching is an important technology in digital image processing. Although the previous matching method has high accuracy, it has a large amount of calculation and takes a long time. In order to solve this problem, the idea of cluster parallel processing based on MPI (Message Passing Interface) is introduced into image gray matching. Split the image to match. Combined with the general steps of parallel processing, the image gray matching is modelled and implemented in parallel, and the traditional image gray matching algorithm is improved in parallel.
Research on big data enabling governance decision based on consistency model

Big data has become a new factor of production in the era of digital governance. Big data has changed the thinking and mode of decision-making, enabled governance decision-making, and created a new paradigm of decision-making. However, in the actual application process, due to the limitations of data availability, time, cost, cognitive and psychological factors, it is often inconsistent with panoramic data. How to judge and solve the inconsistency between the data subset and the data set is the premise of making scientific decision. From the perspective of “consistency”, this paper constructs the basic assumptions of governance decision-making, combs and explains the solution path of consistency between the available data subset and the expected data set, expands the research perspective of measuring data similarity, and deepens the feasibility of data-driven enabling governance decision-making.
Fighting Terrorism in Africa When Existing Terrorism Levels Matter

This study examines policy tools in the fight against terrorism when existing levels of terrorism matter in 53 African countries for the period 1998-2012. The empirical evidence is based on contemporary, non-contemporary and Instrumental Variable Quantile regressions (QR) which enable the investigation throughout the conditional distributions of domestic, transnational and total terrorism dynamics. The following findings are established. First, counterterrorism policy instruments of inclusive human development and military expenditure further fuel terrorim. Second, political stability negatively affects terrorism with a negative threshold effect. Political stability estimates are consistently significant with increasing negative magnitudes throughout the conditional distributions of domestic and total terrorism. Policy implications are discussed.
Self-calibration of the secondary laser source in two-color Linnik interferometer

Abstract The imaging Linnik interferometer equipped with two lasers of different colors is under development and metrological study at National Metrology Institute of Brazil (INMETRO). This work reports the self-referenced method for practical calibration of the secondary laser wavelength. The method is based on accurate digitalization and comparison of the waveforms for both reference He-Ne stabilized laser at 633 nm and secondary laser diode at 488 nm. The process makes use of multiple step phase-shifting technique for waveform measurement and multi-parameter fit for wavelength extraction. The advantage of the method is that no extra hardware of realignment of interferometer is required to perform the calibration.
Blockchain and smart contract for IoT enabled smart agriculture

The agricultural sector is still lagging behind from all other sectors in terms of usingthe newest technologies. For production, the latest machines are being introducedand adopted. However, pre-harvest and post-harvest processing are still done byfollowing traditional methodologies while tracing, storing, and publishingagricultural data. As a result, farmers are not getting deserved payment, consumersare not getting enough information before buying their product, and intermediateperson/processors are increasing retail prices. Using blockchain, smart contracts, andIoT devices, we can fully automate the process while establishing absolute trustamong all these parties. In this research, we explored the different aspects of usingblockchain and smart contracts with the integration of IoT devices in pre-harvestingand post-harvesting segments of agriculture. We proposed a system that usesblockchain as the backbone while IoT devices collect data from the field level, andsmart contracts regulate the interaction among all these contributing parties.The system implementation has been shown in diagrams and with properexplanations. Gas costs of every operation have also been attached for a betterunderstanding of the costs. We also analyzed the system in terms of challenges andadvantages. The overall impact of this research was to show the immutable, available,transparent, and robustly secure characteristics of blockchain in the field ofagriculture while also emphasizing the vigorous mechanism that the collaboration ofblockchain, smart contract, and IoT presents.
Organizational and methodological foundations of scientific activity of a pedagogical staff within an educational organization of the Ministry of Internal Affairs of Russia: supplementary vocational education

The need for scientific and theoretical comprehension and normative registration of definitions&#x0D; and provisions related to the scientific support of the activities of internal affairs bodies, the importance&#x0D; of creating a sound system of organizational and methodological foundations of scientific activity of a&#x0D; teaching employee working in an educational organization of the system of the Ministry of Internal Affairs&#x0D; of Russia, taking into account the requirements of the time and current legislation (order The Ministry of&#x0D; Internal Affairs of Russia dated November 13, 2020 No. 767 approved the Concept of scientific support for&#x0D; the activities of the internal affairs bodies of the Russian Federation for the period until 2030) determines&#x0D; the relevance of the research topic both in theoretical and practical terms.&#x0D; The challenge of the research lies in the contradiction between the need to fulfill the requirements of&#x0D; the “Concept of scientific support for the activities of the internal affairs bodies of the Russian Federation&#x0D; for the period up to 2030” and the absence of a section that provides training in the organizational and&#x0D; methodological foundations of scientific activity in the programs of supplementary vocational education&#x0D; for pedagogical staff of educational organizations of the Ministry of Internal Affairs of Russia. The purpose&#x0D; of the study is to substantiate the didactic content of the section «Fundamentals of Scientific Activity» of the&#x0D; programs of supplementary vocational education for teachers of educational organizations of the Ministry of&#x0D; Internal Affairs of Russia. Research methodology – analysis of modern regulatory legal acts, scientific and&#x0D; methodological literature. Key findings – due to the necessity to fulfill the requirements of the “Concept&#x0D; of scientific support for the activities of the internal affairs bodies of the Russian Federation for the period&#x0D; up to 2030”, it is necessary to include the section «Fundamentals of scientific activity» in the programs of&#x0D; supplementary vo
Design and Analysis of Enterprise Management System Framework Based on Blockchain Technology

Abstract With the advent of the data age and the rapid development of Internet of things technology, blockchain technology has been proposed. Since the advent of blockchain, it has been widely concerned. Its tamper proof, traceability, anonymity and openness have attracted more and more people’s interest. Many researchers and practitioners have stepped into this field. In this paper, the related technical concepts of blockchain are described, and the blockchain technology is integrated into enterprise management innovation to provide new ideas for enterprise management. This paper designs an enterprise management system based on blockchain technology according to the requirements, and carries out bug monitoring and pressure test on the system, and the results show that the system can be used well.
Quantitative evaluation of industrial and commercial management’s promotion to economic growth based on hierarchical constraints

In order to improve the quantitative evaluation ability of industrial and commercial management on promoting economic growth, the design method of quantitative evaluation model of industrial and commercial management on promoting economic growth based on hierarchical constraints is proposed. the descriptive statistical analysis method to realize big data fusion mining for quantitative evaluation of business administration’s promotion to economic growth is used, and a hierarchical constraint parameter analysis model to realize node deployment model design of hierarchical constraint parameter analysis model is designed, fuzzy control and adaptive feature parameter identification are realized in the process of quantitative evaluation of industrial and commercial administration’s promotion to economic growth. Convergence control is realized in the process of quantitative evaluation based on pattern recognition and association distributed fusion. Fuzzy degree identification and optimization prediction of quantitative evaluation of industrial and commercial administration’s promotion to economic growth are realized in hierarchical constraint parameter analysis model. The simulation results show that the output accuracy and system stability of the quantitative evaluation of the promotion of business administration to economic growth are good.
NPs in German: Locality, theta roles, possessives, and genitive arguments

Since Abney (1987), the DP-analysis has been the standard analysis for nominal complexes, but in the last decade, the NP analysis has experienced a revival. In this spirit, we provide an NP analysis for German nominal complexes in HPSG. Our analysis deals with the fact that relational nouns assign case and theta role to their arguments. We develop an analysis in line with selectional localism (Sag 2012: 149), accounting for the asymmetry between prenominal and postnominal genitives, as well as for the complementarity between higher arguments and possessives, providing a syntactic and semantic analysis.
The Application and Exploration of the “One Platform and Three Terminals” Smart Teaching System Under the Background of Educational Informationization

With the continuous development of today’s science and technology, “Internet + education” has become a new form of education, combining Internet technology and education. The “One Platform and Three Terminals” smart teaching system is a smart teaching system that integrates various teaching applications including the classroom application terminal, mobile application terminal, and background management terminal, which based on the Fanya online teaching platform. The system implements information management for the entire teaching process of pre-class, lesson and after-class, comprehensively innovating the traditional offline classroom teaching as well as teaching management mode and significantly improving the classroom teaching effect. The paper combines the construction of the smart teaching system of Fuzhou University of International Studies and Trade to illustrate the background of construction, system structure and practical results of the “One Platform and Three Terminals” smart teaching system. With the help of the smart teaching system, it promotes the teaching reform and innovation of private applied universities, which greatly improves teaching effectiveness.
Distributed Submodular Minimization via Block-Wise Updates and Communications

In this paper we deal with a network of computing agents with local processing and neighboring communication capabilities that aim at solving (without any central unit) a submodular optimization problem. The cost function is the sum of many local submodular functions and each agent in the network has access to one function in the sum only. In this distributed set-up, in order to preserve their own privacy, agents communicate with neighbors but do not share their local cost functions. We propose a distributed algorithm in which agents resort to the Lovàsz extension of their local submodular functions and perform local updates and communications in terms of single blocks of the entire optimization variable. Updates are performed by means of a greedy algorithm which is run only until the selected block is computed, thus resulting in a reduced computational burden. The proposed algorithm is shown to converge in expected value to the optimal cost of the problem, and an approximate solution to the submodular problem is retrieved by a thresholding operation. As an application, we consider a distributed image segmentation problem in which each agent has access only to a portion of the entire image. While agents cannot segment the entire image on their own, they correctly complete the task by cooperating through the proposed distributed algorithm.
Information Architecture Do (道)

In this chapter, I discuss the state of information architecture as a professional occupation in Japan from the perspective of Edward Hall’s distinction between high- and low-context cultures. I describe the Japanese cultural practices and the attitude toward the division of labor based on Hall’s and use these to situate the professional development of information architecture as a practice in Japan. I then present the traditional Japanese educational method of learning skills called “do (道),” discuss Seigow Matsuoka’s editorial engineering as a “do” form of information architecture, and introduce a possible “IA-do” approach to information architecture and information architecture education.
Generating "Ideal" Anime Opening Frames Using Neural Networks

With the development of generative adversarial networks, algorithms that implement the generation of images of various topics have become widespread. This article explores the use of GAN for analysis and generation of complex animation objects and its training on a sample of Japanese animation. The visual component was chosen as the parameter of the opening ideality, which reduced the generation task to the reproduction of frames of the desired video, according to which the artist or a separate neural network would be able to continue the animated video sequence. An original dataset was assembled, consisting of 60 popular openings, and a generative-discriminative neural network created on the basis of existing analogues was trained.
Semantic Relations Between Nominals, Second Edition

Opportunity and Curiosity find similar rocks on Mars.One can generally understand this statement if one knows that Opportunity and Curiosity are instances of the class of Mars rovers, and recognizes that, as signalled by the word on, rocks are located on Mars.Two mental operations contribute to understanding: recognize how entities/concepts mentioned in a text interact and recall already known facts (which often themselves consist of relations between entities/concepts).Concept interactions one identifies in the text can be added to the repository of known facts, and aid the processing of future texts.The amassed knowledge can assist many advanced language-processing tasks, including summarization, question answering and machine translation.Semantic relations are the connections we perceive between things which interact.The book explores two, now intertwined, threads in semantic relations: how they are expressed in texts and what role they play in knowledge repositories.A historical perspective takes us back more than 2000 years to their beginnings, and then to developments much closer to our time: various attempts at producing lists of semantic relations, necessary and sufficient to express the interaction between entities/concepts.A look at relations outside context, then in general texts, and then in texts in specialized domains, has gradually brought new insights, and led to essential adjustments in how the relations are seen.At the same time, datasets which encompass these phenomena have become available.They started small, then grew somewhat, then became truly large.The large resources are inevitably noisy because they are constructed automatically.The available corpora-to be analyzed, or used to gather relational evidence-have also grown, and some systems now operate at the Web scale.The learning of semantic relations has proceeded in parallel, in adherence to supervised, unsupervised or distantly supervised paradigms.Detailed analyses of annotated datasets in supervised learning have granted insights useful in developing unsupervised and distantly supervised methods.These in turn have contributed to the understanding of what relations are and how to find them, and that has led to methods scalable to Web-sized textual data.The size and redundancy of information in very large corpora, which at first seemed problematic, have been harnessed to improve the process of relation extraction/learning.The newest technology, deep learning, supplies innovative and surprising solutions to a variety of problems in relation learning.This book aims to paint a big picture and to offer interesting details.