Reviewerly/exHarmony huggingface dataset:
Why PV Modules should preferably not be oriented to the South and why we need new measurements of spectral radiance for the energy meteorology

&amp;lt;p&amp;gt;PV modules tilted and oriented toward east and west directions gain gradually more importance as an alternative to the presently-preferred south (north in the Southern Hemisphere) orientation and it is shown to become economically superior even under the reimbursement of feed-in tari&amp;amp;#64256; (FIT). This is a consequence of the increasing spread between the decreasing costs of self-consumed solar power and the costs for power from the grid. One-minute values of irradiance were measured by silicon sensors at di&amp;amp;#64256;erent orientations and tilt angles in Hannover (Germany) over three years. We show that south-oriented collectors give the highest electrical power during the day, whereas combinations of east and west orientations (E-W) result in the highest self-consumption rate (SC), and combinations of southeast and southwest (SE-SW) orientations result in the highest degree of autarky (AD), although they reduce the yearly PV Power by 5&amp;amp;#8211;6%. Moreover, the economic analysis of PV systems without FIT shows that the SE-SW and E-W combinations have the lowest electricity cost and they are more bene&amp;amp;#64257;cial in terms of internal rate of return(IRR),compared to the S orientation at the same tilt. For PV systems with FIT, the S orientation presently provides the highest transfer of money from the supplier. However, as a consequence of the continuing decline of FIT, the economic advantage of S orientation is decreasing. E-W and SE-SW orientations are more bene&amp;amp;#64257;cial for the owner as soon as FIT decreases to 7 Ct/kWh. East and west orientations of PV modules do not only have bene&amp;amp;#64257;ts for the individual owner but avoid high costs for storing energy&amp;amp;#8212;regardless who would own the storage facilities&amp;amp;#8212;and by avoiding high noon peaks of solar energy production during sunny periods,which would become an increasing problem for the grid if more solarpower is installed. Furthermore, two types of commonly used PV software (PVSOL and PVsyst) were used to simulate the system performance. The comparison with measurements showed that both PV software underestimate SC and AD for all studied orientations, leading to the conclusion that improvements are necessary in modelling. Such improvements, however, also require a better knowledge of the angular dependence of the spectral radiance under all sky conditions. Since the spectral radiance is complex and usually changes within seconds, we developed a new instrument capable of measuring the spectra of sky radiance in more than 100 directions within one second. First measurements with this novel instrument are shown.&amp;amp;#160;&amp;lt;/p&amp;gt;
Interactive visualization of climate model data via Python or GUI with psyplot

&amp;lt;div&amp;gt; &amp;lt;p&amp;gt;&amp;lt;span data-contrast=&amp;quot;auto&amp;quot;&amp;gt;psyplot (&amp;lt;/span&amp;gt;&amp;lt;span data-contrast=&amp;quot;none&amp;quot;&amp;gt;https://psyplot.github.io&amp;lt;/span&amp;gt;&amp;lt;span data-contrast=&amp;quot;auto&amp;quot;&amp;gt;) is an open-source data visualization framework that integrates rich computational and mathematical software packages (such as xarray and matplotlib) into a flexible framework for visualization. It differs from most of the visual analytic software such that it focuses on extensibility in order to flexibly tackle the different types of analysis questions that arise in pioneering research. The design of the high-level API of the framework enables a simple and standardized usage from the command-line, python scripts or Jupyter notebooks. A modular plugin framework enables a flexible development of the framework that can potentially go into many different directions. The additional enhancement with a graphical user interface (GUI) makes it the only visualization framework that can be handled from the convenient command-line or scripts, as well as via point-click handling. It additionally allows to build further desktop applications on top of the existing framework.&amp;lt;/span&amp;gt;&amp;lt;span data-ccp-props=&amp;quot;{&amp;amp;quot;201341983&amp;amp;quot;:0,&amp;amp;quot;335559739&amp;amp;quot;:160,&amp;amp;quot;335559740&amp;amp;quot;:259}&amp;quot;&amp;gt;&amp;amp;#160;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;lt;/div&amp;gt; &amp;lt;div&amp;gt; &amp;lt;p&amp;gt;&amp;lt;span data-contrast=&amp;quot;auto&amp;quot;&amp;gt;In this presentation, I will show the main functionalities of psyplot, with a special focus on the visualization of unstructured grids (such as the ICON model by the German Weather Service (DWD)), and the usage of psyplot on the HPC facilities of the DKRZ (mistral, jupyterhub, remote desktop, etc.). My demonstration will cover the basic structure of the psyplot framework and how to use psyplot in python scripts (and Jupyter notebooks). I will demonstrate a quick demo of to the psyplot GUI and psy-view, a ncview-like interface built upon psyplot, and talk about different features such as reusing plot configurations and exporting figures.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;lt;/div&amp;gt;
Confidentiality of Mail Ballots

Management Report for Nonunion OrganizationsVolume 45, Issue 2 p. 7-7 Questions and Answers Confidentiality of Mail Ballots First published: 30 December 2021 https://doi.org/10.1002/mare.30803Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume45, Issue2February 2022Pages 7-7 RelatedInformation
Secure Multimodal Authentication Scheme for Wireless Sensor Networks

In the current era, it is necessary to device authorization and authentication techniques to secure resources in information technology. There are several methods to substantiate authorization and authentication. User authentication is essential for authenticating user access control in WSNs. Biometric recognition error, lack of anonymity and vulnerability to attacks, user verification problem, revocation problem and disclosure of session key by the gateway node are some of the security flaws encountered. In this study, a Multimodal Authentication Scheme for Wireless Sensor Networks (WSN-MAS) is proposed to authenticate legitimate users. The main objective is the fusion of fingerprint and iris biometric features at feature level to enable additional accuracy to verify and match user identity with stored templates. In this paper, multimodal biometric features are used for authentication to improve performance, reduce system error rates to achieve better security in WSN.
Globalization of Commercial Banks in Nigeria: Impact of Information and Communication Technology (1988 – 2019)

The study examined the globalization of commercial banks in Nigeria: impact of information and communications technology for the period 1988 to 2019. It was necessitated by the call for more insight on how information and communications technology impacts globalization of commercial banks in Nigeria. It specifically determined the impact of teledensity on loans from non-resident banks to Nigeria, the impact of internet penetration on foreign banks asset in Nigeria, and the impact of banking market size on consolidated foreign claims of Bank of International Settlement in Nigeria. The study adopted ex-post research design in the analysis of data. Data analysis technique is adopted ordinary least squares (OLS) method because of the desirable properties (linearity, unbiasedness and minimum variance, among other unbiased estimators) it possesses. The findings show that ICT plays significant positive role in commercial bank globalization. Recommendations were made on what should be done to ensure the development of the ICT sector in Nigeria.
An Effective Multi-Camera Dataset and Hybrid Feature Matcher for Real-Time Video Stitching

Multi-camera video stitching combines several videos captured by different cameras into a single video for a wide Field-of-View (FOV). In this paper, a novel dataset is developed for video stitching which consists of 30 video sets captured by four static cameras in various environmental scenarios. Then, a new video stitching method is proposed based on a hybrid matcher for stitching four videos with over 200&#x00B0; FOV. The keypoints and descriptors are obtained by the scale-invariant feature transform (SIFT) and Root-SIFT, respectively. Then, these keypoint descriptors are matched by applying a hybrid matcher, a combination of Brute Force (BF), and Fast Linear Approximated Nearest Neighbours (FLANN) matchers. After geometrical verification and eliminating outlier matching points, one-time homography is estimated based on Random Sample Consensus (RANSAC). The proposed method is implemented and evaluated in different indoor/outdoor video settings. Experimental results demonstrate the capability, high accuracy, and robustness of the proposed method.
The Richer Event Description Corpus for Event–Event Relations

A variety of approaches exist for annotating temporal and event information in text, but it has been difficult to compare and contrast these different corpora. The Richer Event Description (RED) corpus, as an ambitious annotation of temporal, causal, and coreference annotation, provides one point of comparison for discussing how different annotation decisions contribute to the timeline and causal chains which define a document. We present an overview of how different event corpora differ and present new methods for studying the impact of these temporal annotation decisions upon the resulting document timeline. This focus on illuminating the contribution of three particular sources of information – event coreference, causal relations with temporal information, and long-distance temporal containment – to the actual timeline of a document. By studying the impact of specific annotation strategies and framing the RED annotation in the larger context of other event–event relation annotation corpora, we hope to provide a clearer sense of the current state of event annotation and of promising future directions for annotation.
The Co-Existential Educational Community and Culture

Purpose. The article aims to comprehend the concept that has a serious anthropological meaning, – a "co-existential educational community" – which points at the real subject and object in the development of the educational reality, as well as to explicate its importance towards understanding the real way of addressing actually to the culture and its acquisition in the pedagogical process. Theoretical basis. To achieve this purpose, the method of categorical-reflexive analysis of texts and problems of real educational realities is used; this allows to involve of such philosophical concepts as "sobornost", "all-unity", "culture" and distinguish their anthropological meaning. Under this approach, philosophical categories are able to appear as internal dimensions of the essence in the educational process, rather than a certain matrix, for which one or another theoretical or practical construction is adjusted. Originality. The originality of the article lies in the actualization of philosophical content in "sobornost" and "all-unity" concepts for philosophical-educational discourse and in solving the question on the real way of entering culture (precisely in its potential that generates its own human in man) in the context of pedagogical communication. Conclusions. Addressing the idea of a co-existential educational community is able to oppose the widespread superficial notions of the so-called "educational environment" in the pedagogical and psychological literature and orient pedagogical theory and pedagogical practices on the real way of entering the individual into truly human forms of life. It is argued that the co-existential educational community can and should unfold not only "horizontally" (in space), but also "vertically" (in historical time), consciously integrating the high culture in itself as a culture of high. The authors emphasized the role of imagination in this process. Education can and should build co-existence with the culture of participants in pedagogical communication. It is with this approach that the education sector can emerge from the systemic crisis and actively oppose those trends in modern social life that increase alienation and depopulation.
An Energy-Efficient Image Denoising Accelerator with Depth-wise Separable Convolution and Fused-Layer Architecture

Image denoising is an important low-level vision task, which has been widely studied to reduce the noise in images. Denoising methods based on deep learning have achieved great performance improvement. However, the huge computation requirements of these methods prevent their application in practical scenarios. Moreover, the hardware accelerator of deep learning denoising methods has rarely been studied. Therefore, we optimize DnCNN for additive white Gaussian noise (AWGN) to obtain the hardware-friendly Light-DnCNN and design an energy-efficient denoising accelerator based on Light-DnCNN. The accelerator has a denoising frame rate of 19.9 FPS with 3.52 W. Its energy efficiency is 5 times and 1319 times higher than that of Titan X GPU and Intel i7-9700 CPU respectively.
Narrative Homogeneity and Heterogeneity in Document Categories

This chapter presents techniques for examining the distributional properties of narrative schemas in a subset of the New York Times (NYT) Corpus. In one technique, the narrative argument salience through entities annotated (NASTEA) task, we use the event participants indicated by narrative schemas to replicate salient entity annotations from the NYT Corpus. In another technique, we measure narrative schema stability by generating schemas with various permutations of input documents. Both of these techniques show differences between homogeneous and heterogeneous document categories. Homogeneous categories tend to perform better on the NASTEA task using fewer schemas and exhibit more stability, whereas heterogeneous categories require more schemas applied on average to peak in performance at the NASTEA task and exhibit less stability. This suggests that narrative schemas succeed at detecting and modeling the repetitive nature of template-written text, whereas more sophisticated models are required to understand and interpret the complex novelty found in heterogeneous categories.
Enhanced security computational double random phase encryption by using additional random function

Image encryption technique has been actively researched and improved. Double Random Phase Encryption (DRPE), known as the typical way of optical encryption, can easily encrypt images. In the decryption process of DRPE, the complex conjugate of random phase mask used as the encryption key in the Fourier domain is used as the decryption key. As a result, computational DRPE has a vulnerability in image transmission when the random phase mask is stolen. Our proposed method utilizes the random function defined by the sender, and it generates additional random variable to multiply the random phase mask. Finally, our proposed method can enhance the security of the encryption process. However, the random phase mask and random variable information generated by random function are needed to decrypt the image. To send both information, high cost is required in the transmission process. To overcome this problem, our proposed method sends the conjugate random phase mask and random function to the receiver for the decryption process. Finally, our proposed method can enhance security with a low transmission cost.
Graph Neural Networks in Biochemistry and Health Care

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
An IoT Crossdomain Access Decision-Making Method Based on Federated Learning

Crossdomain collaboration allows smart devices work together in different Internet of Things (IoT) domains. Trusted third party-based solutions require to fully understand the access information of the collaboration participants to implement crossdomain access control, which brings privacy risk. In this paper, we propose a federated learning-based crossdomain access decision-making method (FCAD), which builds a crossdomain access decision-making model without sharing privacy information of collaboration participants. Crossdomain access logs are extracted to construct a training dataset. Data enhancement method is used to address the uneven distribution of the dataset. Federated learning and gradient aggregation methods are used to prevent privacy leaks. The experiments on the public dataset show that FCAD obtains a prediction accuracy of 83.6% in the existing crossdomain access system.
Torts and intellectual property in Industry 4.0: a comparative study of Chinese and American jurisprudence

At the advent of a new millennium, nations around the world have been challenged by a surge of financial, geopolitical, and environmental crises that informs global societies of an incoming revolution that will reform the socioeconomic order of the modern world. As this new age descends upon us, it is profoundly evident that the future will be defined by our grasp on digital information technologies, the multilateral legal systems that govern them, and the numerous advantages that these systems will afford our societies. The controversial discourse of the Fourth Industrial Revolution, otherwise known as Industry 4.0, imparts an objective truth that the Information Age will present us with substantial systems of technological growth, which accordingly translates to systems of economic expansion. The last several decades of technological development have afforded us with transformative tools in the form of supercomputers, artificial intelligence, information technologies, and a variety of smart devices. Regulating the legal mechanisms that govern the utility and development of these technologies is instrumental to benefitting from the economic prosperity, political strength, and developmental capacities that will follow. This article aims to conduct a comparative legal study of the mechanisms of intellectual property rights protections in their intersection with tort liability structures in the PRC and the USA – two global superpowers at the forefront of both technology and jurisprudence. Analyzing the mechanisms of both countries – particularly with the focus of indirect contributory infringements, intellectual property rights abuse, and structural legal reforms – will provide us with a better understanding of the current state of legal standards in domestic and international governance systems. The study will begin with a bilateral deconstruction of each nation’s intellectual property classifications and protections before engaging in the significant processes of historical legal reform. Subsequently, the article will analyze modern legal interactions between tort liability structures and intellectual property protections while subjecting their current forms against the impeding challenges of technological development as afforded through Industry 4.0. Finally, the article will conclude with an objective view of the future of both nations in the reform of intellectual property law.
Designing Research

A research design is the overall structure that a researcher uses to integrate the different components of a study in a coherent and logical way. As an aspect of the overall research process, the specification of a research design logically follows a preliminary phase in which a research question is formulated and precedes the actual collection and analysis of data. Although the logic of research design is usually discussed in scientific terms that may seem irrelevant to researchers in the humanities, the formal design language of the sciences can help humanities researchers refine their designs and help scientists expand their understanding of design to include sources and methods relevant to humanities scholars. In the absence of accepted terminology for characterizing design structures in the humanities, we offer six distinctions that can be combined to generate a multitude of specific designs: interpretive vs. explanatory, one-step vs. multi-step, single vs. multiple cases, asymmetrical vs. symmetrical, cross-sectional vs. longitudinal, and contextual vs. cross-cultural. A well-designed project should have a clearly defined object of study that specifies the unit and scale of analysis and a well-formulated question or hypothesis that allows the researcher to (1) specify the project's design structure and (2) identify the sources and methods that will enable the researcher to answer their question or test their hypothesis.
The Signal Feature Extraction of Graph Fourier Transform on the Constructed Graph

Motivated by graph Fourier transform (GFT), we propose a novel signal processing method for feature extraction. Mapping the original signal into a transformed space by looking for a suitable basis, thereby observing the new feature of the signal in the transform domain, has always been the research content of signal processing. In a finite-dimensional transformation space, the original signal can be expressed as a vector. By constructing a set of orthogonal vectors containing the original signal, they become the eigenvectors of the Laplacian matrix of the constructed graph. In this way, the original signal is mapped to a point after the GFT, and the signal feature is obtained in the transformation domain. In the underwater target recognition experiment, the proposed method is suitable for underwater acoustic signal processing and has better performance than several common data construction graph model methods.
Augmented Reality Using OpenCV

The chapter explains how to track moving and static objects in real time using downscaled picture details through measuring the period averaging background scene.
ANALISIS CREDIT SCORING TERHADAP STATUS PEMBAYARAN BARANG ELEKTRONIK DAN FURNITURE MENGGUNAKAN BOOTSTRAP AGGREGATING K-NEAREST NEIGHBOR

Classification is the process of grouping objects that have the same characteristics into several categories. This study applies a combination of classification algorithms, namely Bootstrap Aggregating K-Nearest Neighbor in credit scoring analysis. The aim is to classify the credit payment status of electronic goods and furniture at PT KB Finansia Multi Finance in 2020 and determine the level of accuracy produced. Credit payment status is grouped into 2 categories, namely smoothly and not smoothly. There are 7 independent variables that are used to describe the characteristics of the debtor, namely age, number of dependents, length of stay, years of service, income, amount of payment, and payment period. The application of the classification algorithm at the credit scoring analysis is expected to assist creditors in making decisions to accept or reject credit applications from prospective debtors. The results showed that the accuracy obtained from the Bootstrap Aggregating K-Nearest Neighbor algorithm with a proportion of 90:10, m=80%, C=73, and K=5 was the best, which was 92.308%.