Reviewerly/exHarmony huggingface dataset:
The technology of constructing an informative feature of a natural hyperspectral image area for the classification problem

This article describes the process of determining the features of a hyperspectral image area which characterizes this area. Methods and algorithms for searching key classifying features of a certain area are described. Further prospects for the development of the algorithm on so-called “Big data” are indicated.
Earthquakes Ripple Through 3D Printed Models of Los Angeles

Using stainless steel models, researchers find that high-frequency seismic waves—the most damaging to buildings—are attenuated in the Los Angeles sedimentary basin.
Exploring the Learning Purpose of Cyber Nniversity Learners through Lecture Evaluation Item Analysis

Purpose: This study aims to find out significance through the structural relations analysis among compositional variables for the lecture evaluation of cyber university and to reveal the learning purpose of learners. Method: This study analyzed the final lecture evaluation tools conducted A Cyber University in Busan through a structural equation using Amos 21.0 and analyzed other basic statistics such as technical statistics, frequency analysis, and correlation etc. through SPSS 22.0. Results: The results of analysis among compositional variables for the lecture evaluation had showed significance among learning environments, student activities, scholastic achievement, and school satisfaction. But the effect on academic achievement had not showed significance. The results had showed that the learning purpose of cyber university learners is to obtain certificates and get a job after graduation and they have met school satisfaction through student activities during their school years. Discussion and Conclusion: This study suggests that the university should aggressively improve learning environment of their learners. Considering the characteristics of cyber universities, the university should specify and suggest computer application ability, special programs for late age students, support for employment and start-ups for career interrupted women, and detailed road maps for obtaining certificates, etc. Next, we suggest that the university should set up detailed measures to respond to such activities in learners
The Quantum Cloud

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Semantic Term-Term Coupling based Feature Enhancement of User Profiles in Recommendation Systems

Content-based recommender system is a subclass of information systems that recommends an item to the user based on its description. It suggests items such as news, documents, articles, webpages, journals, and more to users as per their inclination by comparing the key features of the items with key terms or features of user interest profiles. This paper proposes the new methodology using Non-IIDness based semantic term-term coupling from the content referred by users to enhance recommendation results. In the proposed methodology, the semantic relationship is analyzed by estimating the explicit and implicit relationship between terms. It associates terms that are semantically related in real world or are used inter-changeably such as synonyms. The underestimated features of user profiles have been enhanced after term-term relation analysis which results in improved similarity estimation of relevant items with the user profiles.The experimentation result proves that the proposed methodology improves the overall search and retrieval results as compared to the state-of-art algorithms.
Forensic mapping in a civil proceeding in South Africa

Abstract. This paper discusses the application of forensic cartography in a civil arbitration case. This arbitration case stemmed from a hijacking of a freight of cigarettes on the 9th of May 2012. Forensic cartography in the form of a report was used to illustrate that the driver of a third-party logistics company was complicit with the crime syndicate that committed the hijacking. Cell phone data was used to map the communication between the various suspects and the driver. The time period of interest was between 15 December 2011 and 9 May 2012. The cellular base stations were used to map these communications in time and space. Based on the evidence provided it was clear that the driver of the third-party logistics company was complicit in committing the crime which led to the arbitration proceedings to be settled by the third-party logistics company in favour of the cigarette manufacturer. Further, it was concluded that the cartographic representation selection for forensic purposes is dictated by the specific case being investigated.
Solo una cantina buia? Alcune riflessioni sulla magia

Like all major categories of culture, magic is an impossible phenomenon to define as a whole. It incorporates refined processes such as alchemy and theurgy, folklore, the countless manifestations of love magic, exoterism in its most diverse forms, and even the dark corner of voodoo magic. It should be considered a special language: its procedures respond to the fundamental rules of language, metaphorical axis and metonymic axis, according to Roman Jakobson’s theory.
Project Faster — Tools For First Responders

This paper presents tools and technologies for first responders (FRs) carrying out tasks at crisis scenes. These technologies are being developed in the framework of the European scientific research project FASTER. There are innovative tools that can help rescuers respond quickly and effectively to save human life and health. This work concerns improving and extending communication and situational awareness for rescuers, smart textiles, autonomous or remotely controlled vehicles. The main point is to integrate the tools into a system coordinated using a mobile operation command centre that will provide a portable common operational picture (PCOP). For the project, the key is to increase the safety of first responders, not just the efficiency of their operations.
Application of cryptography in data privacy using fuzzy graph theory

While exchanging data across different companies, data privacy has become very essential in fuzzy graph theory. Many fuzzy graph theory facilities, include fuzzy logic as plain text transmission, which in turn causes data breach. When sensitive data has to be encrypted, we employ membership functions with varying degrees of fuzzy graph theory. Once our algorithm has finished running, we utilize an auto cryptography encoder to transmit the altered data. After creating the auto cryptography encoder, various organizations may utilize the output data for research analysis as well as for productivity analysis by deploying it in live data environment. Data that has been stored is used by other fuzzy graph theory entities or research analysts to enhance the well-being of individuals. The fuzzy data, however, include various lattice structures to resolve complex problems. Data privacy is put at the risk if sensitive data is revealed. The study that has ensued as a result of this discovery has spurred several privacy-preserving methods to be developed. So, we created a method that encrypts critical information using cryptography technique and, moreover, securely transmits data to many companies.
Achieve Efficient and Privacy-Preserving Compound Substring Query over Cloud

The cloud computing technique, which was initially used to mitigate the explosive growth of data, has been required to take both data privacy and users’ query functionality into consideration. Searchable symmetric encryption (SSE) is a popular solution that can support efficient attribute queries over encrypted datasets in the cloud. In particular, some SSE schemes focus on the substring query, which deals with the situation that the user only remembers the substring of the queried attribute. However, all of them just consider substring queries on a single attribute, which cannot be used to achieve compound substring queries on multiple attributes. This paper aims to address this issue by proposing an efficient and privacy-preserving SSE scheme supporting compound substring queries. In specific, we first employ the position heap technique to design a novel tree-based index to support substring queries on a single attribute and employ pseudorandom function (PRF) and fully homomorphic encryption (FHE) techniques to protect its privacy. Then, based on the homomorphism of FHE, we design a filter algorithm to calculate the intersection of search results for different attributes, which can be used to support compound substring queries on multiple attributes. Detailed security analysis shows that our proposed scheme is privacy-preserving. In addition, extensive performance evaluations are also conducted, and the results demonstrate the efficiency of our proposed scheme.
Assimilation of blockchain over cloud computing

Blockchain technology is current and renowned economic technology that totally transforms the business connections. Its equipment is dispersed as a proceeding of statistics contains complete particulars of the statement approved exposed and dispersed in the middle of the nodes instant in the system. With the express enlargement of communication technologies, the Internet of Things (IoT)is receiving out of its formative years, into full development, and tends to be residential in an explosively speedway, by more and more data transmit and process. All the proceedings approved, exposed in the organization are established by compromise mechanism and the information formerly stored cannot be distorted. Blockchain expertise is the essential technology in the wake of Bit coin, which is a well-liked digital crypto currency. Cloud compute is a carry out off with a set of connections of secluded server hosted on the internet to hoard, deal with, and progression figures, relatively than a general server or a special computer.’ In this framework, blockchain provide novel solution to take in hand challenge in cloud of effects in terms of devolution, statistics solitude along with system safety, although Cloud of Things offers suppleness and scalability functionalities to get better the competence of blockchain operation. So, a work of fiction example of blockchain and Cloud of Things addition, called BCoT, has been extensively regarded as a capable enabler for a broad range of request scenario. In this paper, we analyse as state-of-the-art evaluation on the blockchain assimilation to make available general reader with an impression of the blockchain in a range of aspect, together with back drop information, enthusiasm, and included architecture.
Cybersecurity

Digital transformation has kicked into great gear with the process of product development. The evolution of social media and smart gadgets tends to move with excessive velocity. In this era, security became an enterprise-wide issue that needed addressing and managing risk in business priority. IT and business fast-tracked initiatives like agile and DevOps should improve speed in the market, and security issues have a significant impact on business development. Gartner predicted that “In 2020, 60% of digital business would suffer major service failure, due to the inability of security issues to manage the digital hazards”. Cybersecurity leads a significant role in government bodies, corporate, financial sectors, medical organizations, and defense to store unique amounts of data on computers and other devices. The critical part of the data can be sensitive information. Whether the data will be intellectual property, financial data, individual information, or different data types should be protected from unauthorized access and third party. This chapter discusses the brief introduction of cyber crime, techniques, preventive measures, initiatives metrics, and security tools.
A Keyword Extraction Method for Transportation Industry Standards based on improved TextRank

Facing the current standards of large scale and large quantity in transportation industry, how to efficiently extract standard keywords to provide professional services is a problem that needs to be solved in the industry at present. According to the text characteristics of transportation industry standards, this paper proposes a keyword extraction method based on improved TextRank and uses TF-IDF and Word2Vec algorithm. Then, different weights are assigned according to different factors such as the position, word frequency, semantics and part of speech of the industry standard text, so as to quickly extract more authoritative keywords in industry standard. Experiments show that compared with the classical TextRank, TF-IDF and word2vec algorithms, the proposed method has a great improvement in Precision, Recall and F value for the data set of transportation industry standards.
Losses in the inlet path of a two-rotor vacuum pump

A model of the inlet path of a two-rotor vacuum pump of the Roots type is developed. In the Ansys Fluent package, numerical calculations of the gas flow in the inlet path were carried out at various inlet pressures, pressure drops and rotor rotation angles. The obtained gas mass flow coefficients are in good agreement with the experimental ones. Keywords: two-rotor vacuum pump, inlet path, mass flow coefficient, CFD. alraykov@kstu.ru
ANALYSIS OF DEVELOPMENT TECHNOLOGIES PEDAGOGICAL OPTIMISM

Numerous difficulties encountered in the work of a modern teacher reduce their desire to achieve results and approbation of innovative techniques, motivation to work in general. The increased relevance of pedagogical optimism in this regard contributed to the creation of technologies for its formation and development. The article examines the concept of pedagogical optimism and its structure, and also provides an overview of existing domestic methods for its formation among students, working teachers, and the rest of the population. The analysis of the concept, content and procedural characteristics, as well as methodological support of technologies for the formation and development of pedagogical optimism made it possible to evaluate them according to the criteria of manufacturability. The block diagram developed based on the analysis results clearly shows the trajectory of the possible choice of a particular technology, depending on the target audience.
Intimations of Everyday Life

Ubiquitous computing seeks to embed computers into our everyday lives in such ways as to render them invisible and allow them to be taken for granted, while social and cultural theories of everyday life have always been interested in rendering the invisible visible and exposing the mundane. Despite these related concerns, social and cultural studies have been almost entirely absent in discussions of the design of ubiquitous technologies. This essay seeks to introduce researchers in both fields to each other, and begin to explore the ways in which collaboration might proceed. By exploring mobile and ubiquitous technologies currently being used to augment our experiences of the city, this paper investigates notions of sociality, spatialization and temporalization as central to our experiences of everyday lfe, and therefore of interest to the design of ubiquitous computing.
Face Mask Removal Based on Generative Adversarial Network and Texture Network

In recent years, the problem of image complementation has achieved better complementation effect under the condition of applying deep learning technology, and even the human eye is difficult to distinguish. Therefore, the technology has also become a hot research topic on image complementation. At the same time, how to modify the generative adversarial network to better adapt to the problem of image complementation to construct a more efficient generation model has been paid more and more attention. Face complementation, as a branch of the problem of picture complementation, is a common face image editing technique, which can also be used to edit face properties. The resulting face image can be as accurate as the original face image, or it can be consistent with the content of the unobstructed face image so that the completed image appears to have a real visual feel. Typically, the Generative Adversarial Network can generate missing parts of the face, but the results generated are often incongruous with the entire face, the texture is incoherent, the context is not integrated, and there are obvious signs of repair at the connection between the missing area and the non-missing area. This paper proposes the mode of combining Generative Adversarial Network and Texture Network. Generative Adversarial Network by training a large number of samples, generating an image of the face mask area, and then Texture Network smoothing the image, adding textures, making the resulting face more realistic. Experimental results from the CelebA dataset show that our model can handle a large number of missing pixels and produce realistic facial completion results.
A Case Study of Informatization and Blended Smart Learning Cloud Platform Based on Unipus and Online Video Transmission Technology

To improve college students’ vocabulary competence, a blended teaching of affixation based on Unipus (a smart teaching and learning cloud platform) is designed and carried out by taking language output as the learning goal as well as driving means. Some insights are given into students’ vocabulary study by combing input learning with output application via this cloud platform. The blended teaching design and practice undertaken is to give insight to vocabulary teaching and learning from a distinctive perspective of education informatization.
An Overview of Emerging Updates in Blockchain Technology:

Blockchain is a series of transactions, records or blocks, which are cryptographically secure, timestamped with the previous block’s hash and has characteristics that are immutable, decentralized and transparent. Within the community, users can record transactions in a distributed ledger, which is tamperproof and means transactions cannot changed after they are published. This chapter provides an introduction to blockchain, its architecture, categorization (public, private and consortium), commonly used platforms and languages and will help readers understand different applications with use cases in the current scenario and the future and also defines several consensus algorithms. This review is an attempt to give a comprehensive understanding of blockchain technology and explores the potential of the technology in various fields.
Multiple-instance CNN Improved by S3TA for Colon Cancer Classification with Unannotated Histopathological Images

In this paper, we propose a new method for colon cancer classification from histopathological images, which can automatically analyze a given whole slide image (WSI). We usually classify cancer classification by referring a WSI, which is typically 20000 × 20000 pixels. The cost of obtaining WSIs with annotating cancer regions is very high. Multiple-instance learning (MIL) is a variant of supervised learning in which the instances in a bag share a single class label. That is, MIL only needs unannotated WSI. In recent years, MIL has developed a hard attention mechanism which has achieved good performance. However, this hard attention mechanism cannot notice the interior of each patch, i.e., it lacks soft attention mechanism. In this paper, a soft, sequential, spatial, top-down attention mechanism (which we abbreviate as S3TA) is used to make up for the lack of MIL attention mechanism. Finally, our experiments show that by varying the number of attention steps in S3TA, we achieved a better accuracy of 93.6% than the old model.
Flip-teaching methodology for university tourism guide and heritage interpreter courses

Flip-teaching is a methodology in which the roles of lecturers and students are reversed, and effective learning is obtained by using ICT and encouraging independent study by students. This methodology inverts the traditional learning patterns and responsibilities of the lecturer, as well as the location, because university students obtain both theoretical and practical knowledge outside the classroom by working on contents provided by the lecturer. The aim of this research is to analyse how students on the Tourist Guide course of the Degree in Tourism at the Universitat Politècnica de València (UPV) design and produce subject materials using the flip-teaching method. In the university training on tourist guiding and heritage interpretation, students develop relevant skills, such as the ability to generate messages from a key idea to provoke emotions in visitors, and other communication skills to facilitate visits and improve user experiences. The results show a more intensive use of class materials by students.
Details Enhancement In Low Contrast Region Of Inspection Image Based On Fuzzy Rough Set

In the large dynamic range of inspection images, low-density objects mostly exist in the areas with low contrast, which makes it difficult to identify or show them. The existing image enhancement algorithms mostly do not consider this characteristic of the X-ray inspection image. To solve the detail enhancement problem for quarantine inspection, an fuzzy rough set method is proposed to extract the low-density quarantine objects in X-ray inspection image. Firstly, after negative operating and noise filtering, the inspection image is divided into two parts with rough set method, one is the region of interest that may have the low-density quarantine object, and the other on the contrary. Then, within the region of interest, a fuzzy degree is used to determine the probability of a certain pixel to belong to the quarantine target. Finally, according to the pixel classification results, some pixel values are adjusted in HSV space to show quarantine target distinctly. The capability of detail enhancement in low-contrast region of high dynamic image is also evaluated with the experiments on simulation data and real X-ray images.
Monitoring Server Berbasis SNMP Menggunakan Cacti pada Server Lokal

Abstract - SNMP is a network protocol used for monitoring network devices, especially servers, which allows senders and recipients to exchange information. With SNMP all device activities can be monitored using several additions available on Linux operating systems namely apache, PHP, SNMP, MySQL, and Cacti. Server monitoring is needed to find and solve some problems on a network that has many devices, aiming to monitor all network devices using Cacti. A problem that often occurs on a network is a slow connection and disconnected, with the presence of Cacti a network administrator can identify problems and fix them.
FaSIVA: Facial signature for identification, verification and authentication of persons

The artificial reproduction of human vision capabilities has become unavoidable in recent technological applications, and as the number of applications increases, more challenges demanding specific attention in the proposition of solutions arise as well. Among this wide range of applications, there is face recognition in general and in video surveillance and access control where a lot of models have been proposed to suit users’ needs. Although lot of progress has been made by proposing models for face recognition, but still there are issues affecting recognition accuracy. These issues include low resolution of input image and effective presence before capture equipment’s. To address these issues, this paper presents a formal representation of face called face signature that considers three parameters namely, the quality of the input image, the patterns extracted from the image, and the characteristics of human presence namely eye blinking and liveness detection. Our experiment results show that the proposed signature is accurate and suits in real life applications where input images are of low resolution and spoofing attack are used.