Reviewerly/exHarmony huggingface dataset:
WISE Information Security for Collaborating e-Infrastructures

As most are fully aware, cybersecurity attacks are an ever-growing problem as larger parts of our lives take place on-line. Distributed digital infrastructures are no exception and action must be taken to both reduce the security risk and tohandle security incidents when they inevitably happen. These activities are carried out by the various research infrastructures and it has become very clear in recent years that collaboration with others both helps to improve the security and to work more efficiently. The Wise Information Security for Collaborating e-Infrastructures (WISE) community provides a trusted framework where security experts can share information on topics such as risk management, experiences about certification processes and threat intelligence. With participants from multiple large scale Infrastructures, WISE focuses on standards, guidelines and practices, and promotes the protection of critical infrastructure. To date WISE has published two documents; a risk management template and a second version of the SCI framework, endorsed by multiple large-scale infrastructures. In 2018 WISE began work on new areas of relevance to the High Energy Physics community, including a focus on operational security and incident response for interoperating infrastructures. We present an overview of the available WISE recommendations, future work and how WISE brings benefits to the High Energy Physics community.
Research on Government Integrity Evaluation Based on Big Data

By studying the international advanced practices of government integrity evaluation represented by Standard & Poor's, Global Integrity, Transparency International and Korea, this paper found that most of the evaluations are based on perceptual surveys. Although this method of data acquisition is simple and easy to implement, it has inherent defects, such as strong subjectivity, lack of details, prone to cause sample deviation, etc. Based on the goal of improving government capacity in integrity, this paper put forward a new idea of government integrity evaluation based on big data: Firstly, collect the behavior data and complaint reporting data in the government business systems, combine with the public opinion data on the Internet. Then, use the big data technology to get the evaluation indicator data of government integrity. Finally, construct a scientific evaluation model through the credit scorecard method. Compared with the traditional measure of evaluation, the government integrity evaluation based on big data in this paper not only can obtain more accurate evaluation results, but also has great value in its evaluation process. A large amount of objective and quantitative - rather than subjective and perceived data - can better support government decision-making and reform. The scientific evaluation indicator system can also guide the specific work of the government.
Image Classification by Image Subsets for Fine-Grained Image Recognition

Fine-grained image recognition is a problem in Computer Vision which focuses on discriminating between objects that appear similar. Two images of an object in this problem can appear vastly different while images from different classes can appear nearly identical. To solve this problem, one must determine regions of significance or salient regions of this image and determine the classification from these regions. Current approaches take the approach of a hard extraction of these regions or some small deviation off hard extraction. Furthermore, in most cases, these regions are used without the spatial context of the region positioning in the image, using an approach similar to the bag-of-words model found in natural language processing. The approach described in this paper will abandon salient region proposals, electing instead to decompose the image into a series of subsets. Each of these subsets will undergo the same feature extraction process, carried out by a series of convolution and pooling layers. The output of this process will be used as the input to a recurrent neural network, ultimately classify the initial image. In processing the image in this fashion, each of these subsets’ salience in the context of the larger classification will be determined. A standardized implementation of this architecture has not yet been completed. As such, results indicative of performance can not currently be determined.
Emotional Speech Classification Application Development Using Android Mobile Applications

Customer Relationship Management (CRM) has become popular as it is believed to be able to improve company performance. One of the features of CRM are customer satisfaction level analyses. It is a verbal communication means of sending or receiving information. There are several intonations spoken during verbal communication that reflect the emotional state. Therefore, it can be used to get information regarding the level of customer satisfaction. Sound is one type of digital data that can be processed for an emotional state of classification. In this research, the authors decided to develop a mobile application that is integrated with machine learning to record a sound and classify it into a particular emotional state. This application is believed to be able to improve the user experience and simplify the installation to improve communication engagement.
QoS and Profit Aware Task Scheduling with Simulated-Annealing-Based Bi-Objective Differential Evolution in Green Clouds

Distributed clouds (DCs) often require a huge amount of energy to provide multiple services to users around the world. Users bring revenue to DC providers based on the quality of service (QoS) of tasks. These tasks are transmitted to DCs through many available Internet service providers (ISPs) with different bandwidth prices and capacities. Besides, power grid prices, and green energy in different DCs differ with different geographical sites. Consequently, it is challenging to execute tasks among DCs in a high-QoS and high-profit way. This work proposes a bi-objective optimization algorithm to maximize the profit of a DC provider, and minimize the loss possibility of all tasks by specifying the allocation of tasks among different ISPs, and task service rates of each DC. A constrained optimization problem is given and solved by a novel Simulated-annealing-based Bi-objective Differential Evolution (SBDE) algorithm to produce a close-to-optimal Pareto set of solutions. The minimum Manhattan distance is further used to obtain a knee solution, and it determines Pareto optimal service rates and task allocation among ISPs. Realistic trace-driven results demonstrate that SBDE realizes less loss possibility of tasks, and higher profit than several state-of-the-art scheduling algorithms.
Iddio non vuole, ch’io viva, e muoia Duca di Modona

No AccessIddio non vuole, ch’io viva, e muoia Duca di ModonaDie Abdankung Herzog Alfonsos III. d’Este von Modena und Reggio (1591–1644)Oliver PlateOliver PlateSearch for more papers by this authorhttps://doi.org/10.7788/9783412515652.139SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous chapter Next chapter FiguresReferencesRelatedDetails Download book cover 1. AuflageISBN: 978-3-412-51563-8 eISBN: 978-3-412-51565-2HistoryPublished online:September 2019 PDF download
Local Monitoring Granularity in Distributed Systems Nodes

Monitoring process is the core of the overall performance management in any distributed system node as it stays in the beginning of the control cycle - from monitoring to planning and to enacting procedures. It determines the effectiveness of planning and control decisions and system actions as well as the performance cost measured as by the generated system overloads. This paper presents a systematic scheme of the approaches to local monitoring process of a system node. The information precision of the current system state is orthogonal to monitoring system overload. We describe the linking category between these two concepts as monitoring granularity and present a systematization of possible approaches which are based on the concept of granularity. Further development of this taxonomy will be the system-range monitoring based on homogenous or heterogeneous local monitoring and case studies of applicability and effectiveness.
Towards a Joint Approach to Produce Decisions and Explanations Using CNNs

Convolutional Neural Networks, as well as other deep learning methods, have shown remarkable performance on tasks like classification and detection. However, these models largely remain black-boxes. With the widespread use of such networks in real-world scenarios and with the growing demand of the right to explanation, especially in highly-regulated areas like medicine and criminal justice, generating accurate predictions is no longer enough. Machine learning models have to be explainable, i.e., understandable to humans, which entails being able to present the reasons behind their decisions. While most of the literature focuses on post-model methods, we propose an in-model CNN architecture, composed by an explainer and a classifier. The model is trained end-to-end, with the classifier taking as input not only images from the dataset but also the explainer’s resulting explanation, thus allowing for the classifier to focus on the relevant areas of such explanation. We also developed a synthetic dataset generation framework, that allows for automatic annotation and creation of easy-to-understand images that do not require the knowledge of an expert to be explained. Promising results were obtained, especially when using L1 regularisation, validating the potential of the proposed architecture and further encouraging research to improve the proposed architecture’s explainability and performance.
Implementation of Information Portals in Lambeugak Village, Kuta Cot Glie, Aceh Besar District, Aceh Province

Abstract The development of information technology is increasingly rapid, then new ideas emerge in the world of information technology, for example in information delivery of information in an area is a very important service to be conveyed by village officials to each community. Considering the need for news information quickly, it requires technology to create an information portal system that can be used for the delivery of information to every community so that the community can quickly see the information. The purpose of this study was to implement an information portal in the village of LambeugakKuta Cot Glie, Aceh Besar District, Aceh Province. After conducting the research, it was obtained the results that the implementation of the information portal made it easier for the community to obtain internal and external information about the village, because it could easily open the portal website, besides important information the community could also see the number of people in the village of lambeugak. The information portal also provides facilities to view village projects that have been done, so this portal is used for information, but can also be used to backup project data in the village.
Formalizing Requirements Is $$\Diamond \Box $$ Hard

The use of formal methods in software engineering requires that the user adopt a suitable level of precision in the description of both design artifacts and the properties that should hold for those artifacts. The level of precision must be sufficiently high that the logical consistency of the design and the logic properties can be verified mechanically. The source code of any well-defined program is itself a formal object, although it typically contains more detail than desirable for effective analysis. But, practitioners often have no problem producing or recognizing an abstracted version of the key features of a design, expressed in the modeling language of a verification tool. The real problem preventing a broader acceptance of formal methods is that there are no intuitive formalisms that practitioners can use to express logic requirements at the level of precision that is required for formal verification. That problem is the focus of this paper.
Model Based Path Optimization for Valet Parking with Trailer

In this article, an approach for parking with trailer is designed. The path planning for backward parking of a truck and trailer vehicle is a central aspect, especially the path optimization. For calculating the path a polynomial approach is applied. The used kinematic single-track model and assumed smooth signals lead to a polynomial approach, where the starting and ending data like position, angle, curvature, and its derivatives are interpolated. In this approach there appear degrees of freedom in the solution which interpolates the data independently of the choice for the mentioned variables. The problem can be stated as an optimization problem and the free parameters are optimized.
An Investigation on Quality Perspective of Software Functional Artifacts

Software engineering process and practices paramount the crisis of cost, quality, and schedule constraints in developing software products. This chapter surveys the quality improvement techniques for the two fundamental artifacts of software product development, namely the architecture design and the source code. The information from top level research databases are compiled and an overall picture of quality enhancement in current software trends during the design, development, and maintenance phases are presented. This helps both the software developers and the quality analysts to gain understanding of the current state of the art for quality improvement of design and source code and the usage of various practices. The results indicate the need for more realistic, precise, automated technique for architectural quality analysis. The complex nature of the current software products requires the system developed to be beyond robust and resilient and building intelligent software that is anti-fragile and self-adaptive is favored. Innovative proposals that reduce the cost and time are invited.
Searching and ranking questionnaires

Questionnaires are useful tools for research purposes and are generally used for collecting information about a population of interest, by focusing on different intentions. During the questionnaire project, or for sharing data purposes, it may be useful to check if there is already a questionnaire with the same intention as that being carried out. Well-designed questions can induce respondents to provide better answers. However, examining research questionnaires is not a trivial task since a question can be structured in different ways. In this paper, we propose a similarity measure to match questionnaires that are characterized by the heterogeneity of their questions and to provide a ranking method based on variations of a given query. In determining the effectiveness of this approach, we evaluated it through an experimental study, using recall, precision, f-value, MAP and NDGC, and this enabled us to obtain more effective results than other proposals.
Application of Musical Computing to Creating a Dynamic Reconfigurable Multilayered Chamber Orchestra Composition

With increasing virtualization and the recognition that today’s virtual computers are faster than hardware computers of 10 years ago, modes of computation are now limited only by the imagination. Pulsed Melodic Affective Processing (PMAP) is an unconventional computation protocol that makes affective computation more human-friendly by making it audible. Data sounds like the emotion it carries. PMAP has been demonstrated in nonmusical applications, e.g. quantum computer entanglement and stock market trading. This article presents a musical application and demonstration of PMAP: a dynamic reconfigurable score for acoustic orchestral performance, in which the orchestra acts as a PMAP half-adder to add two numbers.
Strategies of Legitimate Parties and an Eavesdropper for Discretely Modulated Continuous-Variables Quantum Key Distribution Protocols

Discretely modulated continuous-variables quantum key distribution (CV-QKD) protocols are usually proposed with phase modulated coherent states being sent by Alice and simple homodyne detection on the Bob side and, in the majority of the studies, their security is analyzed assuming that for low photon number the protocols are similar to a Gaussian modulated CV-QKD. Here we discuss other detection techniques such as double homodyne, consider classical attacks and find practical strategies for the legitimate parties to reach the security limits predicted by the Gaussian modulated CV-QKD.
The obsolescence of Information and Information Systems CERN Digital Memory project

In 2016 was started the CERN Digital Memory project with the main goal of preventing loss of historical content produced by the organisation. The first step of the project was targeted to address the risk of deterioration of the most vulnerable materials, mostly the multimedia assets created in analogue formats from 1954 to the late 1990’s, like still and moving images kept on magnetic carriers. In parallel was studied today’s best practices to guarantee a long life to digital content, either born digital or resulting from a digitization process. If traditional archives and libraries have grown up during centuries establishing recognized standards to deal with the preservation of printed content, the field of digital archiving is in its infancy. This paper shortly exposes the challenges when migrating hundreds of thousands of audio, slides, negatives, videotapes or films from the analogue to the digital era. It will then describe how a Digital Memory platform is being built, conform to the principles of the ISO-16363 digital object management norm that defines trustworthy digital repositories. Finally, as all information repository managers are faced with the necessary migration of underlying systems and the obsolescence of the information itself, the talk will explain how a digital archiving platform focusing only on content preservation could be of direct interest for most of the live systems.
Reducing the Effect of Imperfect Microphone and Speaker in Audio Feedback Systems

An audio feedback system that iteratively uses a room as a sound filter can be an artistic medium generating fascinating sounds. In this system, the room is not the only component acting as a filter. The sound system component, i.e. the speaker and microphone, also can have a sizeable impact on the sound in each iteration. To make sure the relative influence of the room on the sound is revealed and not masked by the audio system, the author proposes using a common calibration method at the end of each iteration. The mathematical model of the system is used to explain the reasoning behind the use of this method. Following this procedure, the author conducted an experiment that shows sound interaction with the room over time being captured in the artwork.
Research on Three-dimensional Measurement Method Based on Monocular Vision

3D measurement and reconstruction techniques are widely used in many fields, such as automated production, computer vision, and medical diagnostics. Fast and accurate three-dimensional reconstruction of the surface of the object for three-dimensional reconstruction is an important technical problem [1]. Based on the monocular vision measurement technology, this paper proposes a single-camera single-light source system for 3D reconstruction. The experiment uses a hemisphere of known radius to make the center of the hemisphere coincide with the target center. The circular target center is derived by the algorithm proposed in this paper and three-dimensional information of the location and error analysis.
Liquid Spaces: Understanding of Urban Spatial Networks through the Human Data

Abstract Today’s cities are changing faster than ever before, mainly because they have ability to produce spaces for everyone, but only when they are produced by everyone [1]. This phenomenon was even multiplied with enhanced informatisation and digitalisation. It would be wrong to perceive Smart City only as plain product of technological innovations. New markets are rising and new types of behaviour are emerging hand in hand with technological innovations [2]. Therefore technological innovations, mainly than enhanced communication and digitalisation change the habits of analogue civilisation towards more liquid spaces. Cities are forced to adapt to those changes in order to stay competitive. Therefore it seems that traditional planning reaches its limits and can’t fully address challenges produced by such change, which makes it unsustainable approach on the long term perspective. Project aims to develop set of tools and approaches towards creation of more liveable and resilient cities of 21. century by combining modern technologies, and humanocentric approach. Focus should be put on the research of relationship between the technological innovations (namely digitalisation and enhanced communication) and societal changes that transforms into material (urbanised) environment [3]. Understanding of urban spatial structures via gathering and analysing a new type of information about the city – the data – plays a key role in the research. As such, focus will be put on the analysis of urban structures through the online and offline participatory platform (Emotional maps), spatial footprint of the city (Master plan and field research), and segment analysis of the city’s structure (Space Syntax).
Research on Digital Control and Feedback System for High Slope Excavation of Hydropower Station

Abstract In view of the quality analysis and evaluation of high slope excavation in hydropower project, this study uses 3D laser scanning to quickly obtain the image of the excavation surface. According to the characteristics of point cloud data and slope quality evaluation indicators, the quality of excavation from multi-dimensional, the evaluation and establishment of the excavation quality feedback control system based on the construction period is established. Finally, the digital construction and control system for high slope excavation of hydropower station is developed. The engineering application proves that the method and system established in this paper can effectively improve the slope. The efficiency and precision of excavation quality control provide effective support for the scientific and refined management of slope excavation.
TEACHERS AND THEIR FUTURE COLLEAGUES IN THE PARADIGM OF INFORMATIZATION

The article presents the results of an analysis of surveys conducted among 5th year students of the Faculty of Primary Education of the Institute of Childhood of Moscow Pedagogical State University ("Primary Education and Informatics" profile) studying the "Social Informatics and Information Safety" course and school teachers in the Arkhangelsk region as part of a study conducted by the author on the subject of knowledge by teachers of different ages the basic rules for organizing safe work in the Internet and special measures for its formation, which has acquired particular relevance in the context of the implementation of the national project "Digital Educational Environment".
A Topic Modeling Based Approach for Enhancing Corpus Querying

In information retrieval, the accuracy of the retrieval process is mainly dependent on query terms selection; therefore, the user must choose the needed terms carefully and selectively. Traditionally, the process of selecting query terms is done manually. However, in the last two decades, a lot of research has been directed towards automating the process of choosing and enhancing query terms. In this article, a new novel approach is presented, which relies on topic modeling in query building and expansion. Two open source systems were selected to perform the experiments, results show that adding the topic's term to the user's query clearly improves its quality and thus, improves the ranking results.