Reviewerly/exHarmony huggingface dataset:
A Data Placement Strategy Based on Crow Search Algorithm in Cloud Computing

Background: In cloud computing era, large scale scientific applications process large amount of data in the data centers. Placing of this data onto a data center is a critical issue performed as part of workflow management system and aims to find the best data center to place the data. It has a direct impact on performance, cost and execution time of workflows. Methods: In this paper, a novel data placement strategy is proposed based on Crow Search Algorithm (CSA) that dynamically distributes the data sets to appropriate data centers during runtime stage of workflow. Results: The results obtained b y CSA based run time data placement algorithm are evaluated with the results of other algorithms. Simulation results acknowledge that using CSA based data placement algorithm provides appropriate results in comparison to the other algorithms.
TWO FACTOR AUTHENTICATION FOR REDUCING PHISHING ATTACKS

In recent days internet has been used efficiently in almost all the fields and it has grown to a vast extent. Mostly business sectors are preferring to go online for user’s convenience as it saves a lot of time and can be easily accessible. For example, Banking Sectors, Online-Shopping, etc,. As the technology grows, we see the negative side in the form of phisher. Phishing is a crime and an activity of stealing user’s personal and confidential data. Personal data might be the user’s username and password of their account or may be their credit card’s information. Our objective is to prevent phishers from hacking the user’s personal data. Normally, every online Business sector has a username and password which is not that secured. In our research work, we suggest to make the authentication secured by introducing Two-Factor Authentication. These authentication mechanism will detect and prevent phishing attacks simultaneously and the solution will authenticate both the user and the website in real-time. To get rid of phishers we split images into two parts as first level of authentication and the second level of authentication hold the secret question sent to the user from the Website through a reliable secondary channel.
Сотрудничество библиотек стран СНГ: стратегические направления

The article is devoted to the International scientific and practical conference «Rumyantsev Readings — 2019»; held in the Russian State Library on April 23-24; 2019. The author presents information on the work of the Round Table «Cooperation of the Libraries of CIS Countries: Strategic Directions» and considers the discussion topics: the tasks of the library community of the CIS countries in the context of the formation of the global information society; the role of legislation in solving the intergovernmental issues of humanitarian cooperation; the role of national libraries in determining the strategy for the development of interlibrary cooperation. The article describes the decision to develop the Concept for the Development of Common Library and Information Space of the CIS for the period up to 2030
Seeing Blocks and Crypto Bros

How do cryptocurrencies like Bitcoin work? What is a blockchain? And, what does a typical Bitcoin holder look like? The artist collective Anxious to Make commissioned sixty cloudworkers to draw their answers to these questions. Drawings range from the mundane and stereotypical—a Bitcoin owner depicted as a bearded hipster shouting, HODL!—to the complex and eccentric—the blockchain drawn as connected nodes of random numbers, presumably meant to represent cryptographic hashes. &#x0D; Like much technology, the inner workings of cryptocurrency remain “black boxes” of understanding to most users. As a collective, Anxious to Make remains cautious of any technological apparatus that is believed in without understanding. These series of drawings point to the absurdity and comic nature of technological beliefs and utopic, seamless crypto-fantasies. We offer a subset of the drawings here, together with an analysis of the ways artistic labor is changed by—or mirrors—the practice of outsourcing.
Word Rewarding Model Using a Bilingual Dictionary for Neural Machine Translations

ニューラル機械翻訳は従来手法の句に基づく統計的機械翻訳に比べて，文法的に流暢な翻訳を出力できる．しかし訳抜けや過剰翻訳などの問題が指摘されており，翻訳精度に改善の余地がある. このような問題に対して従来の句に基づく統計的機械翻訳では，対訳辞書を用いてデコーダ制約を実装することにより翻訳精度を改善していたが，ニューラル機械翻訳では対訳辞書を有効活用するアプローチが明らかではない．本稿では対訳辞書を単語報酬モデルによりニューラル機械翻訳に適用する手法を提案する．提案手法は，テスト時のデコーディングの際に対訳辞書に存在する単語に報酬を与えることでそれらの出現確率を高め，翻訳精度の向上を図る．提案手法は辞書をニューラル機械翻訳モデルとは独立して適用するため，辞書の更新や変更を簡単に行える利点がある．また指定された語彙を出力するよう制約を加える方法より少ない計算量で翻訳精度を改善できる．さらにアテンションを利用して対訳辞書を活用する手法と組み合わせると性能を改善できることを実験的に示した．
Trends and Perspectives in Books Borrowing Preferences among Civil Engineering Students at Jawaharlal Nehru Technological University Library (JNTUL), Kakinada, A.P. : A Case Study

This paper conducts a critical analysis of the books borrowed by Civil Engineering students of the enrolled Batches of the ACYs: 2017 & 2018 at Jawaharlal Nehru Technological University Library, Kakinada, and Andhra Pradesh. The analysis throws light on the different aspects such as number of books borrowed, authorship pattern of the borrowed books, chronology of the borrowed books, country-wide distribution of borrowed books, type of publisher, rank list of the publishers, rank list of the most- frequently borrowed titles.  After analysis of each point, appropriate conclusions were drawn. Keywords: Borrowed titles, MBA students, Circulation data, JNTU Library.
Exploring visually the known and the ill-known about Krakow's centre urban evolution: An information visualisation perspective.

Analysing and depicting in 3D the design and transformations of urban structures have been concerns ever since the nineteenth century, for both historians and urban planners. What exactly is the impact of the digital humanities on the way we use today’s means of investigation? How can we usefully support the analyst’s tasks, by visual means, in the context of historical research and on the large scale of a city? This chapter describes real experiments that were carried out on the city centre of Krakow, former capital of Poland. Through these experiments, the authors consider the fundamental issues of imperfect knowledge in the historical sciences, the need to and constraints of handling ill-defined temporal data, and the necessity to at least complement “classic” virtual reconstruction efforts with visual solutions that better match the nature of the underlying data. The data are a heterogeneous collection of structures that differ in terms not only of morphology and use but also of documentation quality. The authors introduce an approach that is based on the idea that the gap between the historical sciences and information visualisation (via InfoVis) should and can now be filled. They show the potential added value of InfoVis-inspired abstract graphics in supporting analysis tasks regarding the evolution of urban structures, with the hope that this methodological bridge can be a solution particularly in the context of urban analysis.
Penerapan sistem e-business dan sms gateway Pada usaha sewa rumah kost di pagar alam (Studi Kasus : Kecamatan Pagar Alam Utara)

Business transaction activities that take advantage of Internet technology is part of the innovative information technology. Venture business activities undertaken by the company to enter the market in the virtual world known as electronic business (e-business) [1].Population growth increased from time to time lead to the need for housing also increased besides efforts to improve the level of income, level of education, welfare and a better life implications for the availability of temporary residence or known as the Boarding House.Testing the interface design was done by using a questionnaire to test for errors at design time information services e-business boarding house was used and the test results, the percentage of respondents is between 50% to 74.99%, so it can be concluded that the design of information services E-business and SMS Gateway Boarding House is acceptable to be applied in providing information to the consumer (user).
LIBRARY REFERENCE SERVICES BASED ON ARTIFICIAL INTELLIGENCE

Libraries are commonly known for information acquisition and organization - for easy access. The third vital service rendered by the Library is the dissemination of the acquired information, which is more delicate than the acquisition services. Reference services fulfill this third library function which are especially, offered by Library Information Scientists. This arm of Library service, focuses on establishing prompt contacts between users and the right resources, thereby saving the research or searching time of the user. The advent of Digital Library Systems is known to have ignited the massive drift from the traditional library system, which is expected to influence the entire mode of Library service delivery. This further implies that Library Reference services now have to move from offering full human assistance to a digital solution. Data dissemination in the sphere of Information Technology (IT) has gone wild, especially with the implementation of Artificial Intelligence (AI). Since Libraries have decided to join the IT sphere, it is then expected to adopt such competitive dissemination technology for its Reference Services. Using Analytic induction - a model for qualitative research design, this study carefully examines Library reference services in relation to AI-based solutions for selective Information dissemination. The result of this study is a discussion on how AI, which has Machine Learning paradigm underneath, can now be tuned to Knowledge Assimilation and Dissemination agents in an academic digital Library.
Смысловой диалог как технология инициации межличностных смыслов в учебном процессе ВУЗа

The article discusses the phenomenon of the formation of interpersonal meanings in the activities of learning at a university. The relevance of the topic is determined by the increasing trends in the humanization of education. The novelty of the study is to consider the activities of the teacher and students as a field for the formation of interpersonal meanings in direct connection with the implementation of pedagogical technology of meaning dialogue. The humanization of education in higher education has its own characteristics and difficulties, since the students are people with an emerging value-meaning sphere. In modern conditions of a dynamically changing world, classical methods and forms of training cannot fully satisfy the needs of students and future specialists in their field. One of the options for changing the educational process in a university is its intensification, with more involvement of teachers and students due to the transformation of training into a full-fledged joint activity of teachers and students, as well as the organization of students' group tasks in the format of joint activities. One of the foundations of joint activity is a general motivational meaning structure, which is created on the basis of a commonality of individual meanings with the subsequent formation of interpersonal meanings. A technology that allows initiating and supporting the formation of interpersonal meanings is dialogue in the form of meaning communication. The dialogue is realized in the conditions of subject-subject relations, in which both the teacher and students inevitably become subjects of the learning activity, moreover, of the joint activity. Mutual trust and respect, necessary for dialogue, and focus on the development of value-meaning sphere are also factors contributing to the formation of interpersonal meanings.
ANALYSIS OF COMMUNITY LEARNING INTEREST IN ENGLISH IN FACING MEA (ASIAN ECONOMIC COMMUNITIES) IN LUBUKLINGGAU

The purpose of this study is to analyze people's interest in learning English in the face of MEA (ASEAN Economic Community). So that the municipal government of Lubuklinggau can take steps to improve their English-language communication skills. The goal to be achieved by this research is to obtain the results analysis of public interest in learning English, so that from the results of this analysis the government can take steps to improve Human Resources to have good communication skills to deal with the free trade era. This research was conducted through a qualitative approach with descriptive analysis methods, Tehnique of Data Collection were conducted by observasion, questionnaire, and interview. From the research conducted it can be concluded that the interestt of Lubuklinggau community in learning English must still be increased in order to progress the Lubuklinggau region tobe advance.
Design and Development of Intelligent Teaching System Supported by Internet of Things, VR and Cloud Computing

With the continuous development of network information technology and education, China’s education model has begun to transform and upgrade, people pay more and more attention to the establishment of interactive teaching model. The establishment of the interactive teaching model is based on the intelligent teaching system. The development and application of the intelligent teaching system reflects the progress of the education model, which can effectively strengthen the mutual communication between teachers and students and improve students’ learning initiative. Based on this, the design and development of a set of intelligent teaching system supported by Internet of things, VR and cloud computing has become the inevitable requirement of the transformation of education model and the inevitable trend of education development. The purpose of this paper is to accelerate the development process of the intelligent teaching system and promote the transformation and upgrading of China’s education model through the research on the design and development of the intelligent teaching system. In this paper, related concepts such as Internet of things, VR and cloud computing are firstly summarized, combined with relevant research data, and specific ideas for the development and design of intelligent teaching system are proposed. Finally, the operation of this teaching system is tested and tested by means of comprehensive data processing algorithm. The experiments in this paper show that the intelligent teaching system is reliable and scientific, and can promote the transformation of teaching mode.
An analysis on the evaluation of foreign student’s examination essay - based on Korean education major students -

This study analyzed the characteristics of the examination essays of international students and statistically verified which of the characteristics of the examination essays influenced the evaluation. Firsty international student essays showed that the higher the linguistic accuracy, the longer the total length, the richer the semantic structure, the higher the coherence, while the less formality of the style. Second, the higher the linguistic fluency, the longer the answer and the richer the semantic structure. Third, the total amount of text was correlated with all of the richness, accuracy of content, and coherence of contents, and strong correlation between richness and coherence of contents. In addition, the factors influencing the evaluation were ‘average number of propositions per topic’ indicating the richness of contents and ‘morpheme numbers’ indicating the amount of text. After interviewing the evaluator and the learner, the evaluators found that linguistic accuracy was not a decisive factor but showed a lack of knowledge of the major if it was below a certain level. In addition, it was found that the precise use of the terminology and the use of the coagulation device are considered important factors.
Automatic cancer sub-grading on digital histopathology images of radical prostatectomy specimens

Automatic cancer sub-grading of radical prostatectomy (RP) specimens can support clinical studies seeking the prognostic indications of the sub-grades, and potentially benefits patient risk management and treatment planning. We developed and validated an automatic system which classifies each of nine subgrades (i.e. 4 sub-grades of Gleason grade 3, 3 sub-grades of Gleason grade 4, benign intervening, and other cancerous tissue) on digital histopathology whole-slide images (WSIs). The system was cross-validated against expert-drawn contours on a 25-patient data set comprising 92 mid-gland WSIs of RP specimens. The system used a transfer learning technique by fine-tuning AlexNet to classify each cancerous region of interest (ROI) according to sub-grade. We used leave-one-WSI-out cross-validation to measure classifier performance. The system yielded an area under the receiver-operating characteristic curve (AUC) higher than 0.8 for sub-grades of small fused Gleason 4 (G4), intermediate G3, and other cancerous tissue (AUC of 0.976); and AUCs higher than 0.7 for sub-grades of sparse G3, large cribriform G4, and desmoplastic G3.
Towards augmented reality-based suturing in monocular laparoscopic training

Minimally Invasive Surgery (MIS) techniques have gained rapid popularity among surgeons since they offer significant clinical benefits including reduced recovery time and diminished post-operative adverse effects. However, conventional endoscopic systems output monocular video which compromises depth perception, spatial orientation and field of view. Suturing is one of the most complex tasks performed under these circumstances. Key components of this tasks are the interplay between needle holder and the surgical needle. Reliable 3D localization of needle and instruments in real time could be used to augment the scene with additional parameters that describe their quantitative geometric relation, e.g. the relation between the estimated needle plane and its rotation center and the instrument. This could contribute towards standardization and training of basic skills and operative techniques, enhance overall surgical performance, and reduce the risk of complications. The paper proposes an Augmented Reality environment with quantitative and qualitative visual representations to enhance laparoscopic training outcomes performed on a silicone pad. This is enabled by a multi-task supervised deep neural network which performs multi-class segmentation and depth map prediction. Scarcity of labels has been conquered by creating a virtual environment which resembles the surgical training scenario to generate dense depth maps and segmentation maps. The proposed convolutional neural network was tested on real surgical training scenarios and showed to be robust to occlusion of the needle. The network achieves a dice score of 0.67 for surgical needle segmentation, 0.81 for needle holder instrument segmentation and a mean absolute error of 6.5 mm for depth estimation.
E-Challan Generation using QR code

During the past few years, traffic accidents & breaking traffic rules has increasing day by day. This work aims at implementing a vehicle document check system where information is retrieved from the database by the traffic police using their Smartphone and the physical documents are not needed to be carried along thereby saving time of filling details manually. QR code is the treadmark for a type of matrix barcode, and QR code is developed in 1994 which has become admired outside the automotive industry due to its fast readability and greater storage capacity compared to standard Universal Product Code (UPC) barcodes. OCR is Optical Character Recognition to convert the electrical images into the machine encoded text for many purposes. This work takes an account of QR codes and OCR, at the front end, android application is created with which traffic police can scan the QR code or number plate using QR code scanner or OCR scanner respectively on officer’s phone and all the details about the owner of the vehicle will be shown on the phone and accordingly E-Challan will be generated and sent to the vehicle owner through SMS. Thus, this work is an attempt to highlight the automatic generation of E-Challan using QR codes and OCR.
Implementasi Cross Selling Dalam Pemilihan Produk Pada Ecommerce

The development of technology and the rapid flow of data and information spread on the internet requires the public to know the latest information. To get this information, people generally use search engines or search engines that can facilitate the search for information. Some search engines available on the internet use web crawlers to get the information needed by the user. This research develops a web crawler application to extract information about prices from two comparison sites, the Elevenia site, and the Mataharimall site. The data obtained from the crawling process will be stored in a database which can then be used by the user to see the price comparison of the products sought, then the user can also view the details of the product sought. This system was developed by the waterfall method and displays in Cross-Selling format for the product sought. This research has resulted in crawlers and system applications using cross-selling.
Dihedral Group Matrix: A password security Approach

Any intruder come with intension to break into the online web-based system, his first job is to crack the password. Mostly, password security is compromised. Most of the user put strong and complex password, but as intruders used password cracking software which work as string matching software to get similar string as the password have, by trying lakhs of combinations. We introduced a technique based on the application of dihedral group matrix in this paper. We store the password as the dihedral group. Through the proposed technique, we are minimizing the probability of matching of the password string with string put in place of the password by the intruder and minimizing possibility of obtaining password. Therefore, the proposed technique will enhance the password.