Reviewerly/exHarmony huggingface dataset:
THEMATIC DIRECTION OF PUBLICATIONS IN THE LIBRARY-SCIENCE PERIODICALS

Purpose of Article. To analyze the subjects of research presented in periodicals of the librarianship direction. Methodology. The research methodology consists of using general scientific methods and special methods: analysis, synthesis, logical method, method of visualization of research results. Scientific Novelty. The scientific novelty of the work is to analyze the thematic component of publications over the past 6 years (from 2012 till 2017), which reveal the main areas of research in library science. Conclusion. The analysis of publications allowed us to highlight the most relevant topics, namely, the problems of library and information activities, including digital collections of scientific libraries, the organization of information resources and network communication, and the issue of cataloging and automation of library processes.
Technology disruption and business performance in SMEs

With the advent of industrial 4.0, more and more enterprises and business entities are moving towards technology and digital-based platform. Contextualizing the topic to the Malaysian scenario, the country is on the verge of adoption of this indusial change very fast in comparison with other South East Asian countries. A quantitative cross-sectional study was conducted to analyses the impact of Technology Disruption, Competence Depletion on and Business Performance. The study follows purposive sampling among the employees at the small and micro enterprises of Selangor state of Malaysia. The study used PLS SEM to estimate the model. The research has pointed out practical and managerial implications to the management of micro and small-scale industries.
Quantum repeater in quantum networks (Conference Presentation)

We have seen remarkable progress made over the last decade in the realization and exploitation of small-scale quantum communication technologies. The community is now at the stage where we need to consider how quantum repeaters and their associated networks are efficiently designed and implemented. This first requires us to define what a quantum repeater actually is and what functionality it requires. Associated with this is also the issue of its performance and when it is better than non-repeater approaches. In this talk, we explore such issues by taking incites from the conventional telecommunication world and use them to establish a framework for what quantum repeaters are and how their performance can be established. As part of this we clearly show that non-repeater approaches can exceed the direct transmission bounds. We extend these concepts to quantum networks and show one must be extremely careful when establishing the optimal communication bounds within them.
Fulfilling Secure, General, and Fine-Grained Question happen Affirmation for Secure Interest Plot over Mixed Cloud Data

Secure search techniques over encrypted cloud data allow an authorized user to query data files of interest by submitting encrypted query keywords to the cloud server in a privacy-preserving manner. However, in practice, the returned query results may be incorrect or incomplete in the dishonest cloud environment. For example, the cloud server may intentionally omit some qualified results to save computational resources and communication overhead. Thus, a well-functioning secure query system should provide a query results verification mechanism that allows the data user to verify results. In this paper, we design a secure, easily integrated, and fine-grained query results verification mechanism, by which, given an encrypted query results set, the query user not only can verify the correctness of each data file in the set but also can further check how many or which qualified data files are not returned if the set is incomplete before decryption. The verification scheme is loose-coupling to concrete secure search techniques and can be very easily integrated into any secure query scheme. We achieve the goal by constructing secure verification object for encrypted cloud data. Furthermore, a short signature technique with extremely small storage cost is proposed to guarantee the authenticity of verification object and a verification object request technique is presented to allow the query user to securely obtain the desired verification object. Performance evaluation shows that the proposed schemes are practical and efficient.
A Dual-hierarchy Semantic Graph for Robust Object Recognition

We present a system for object recognition based on a semantic graph representation, which the system can learn from image examples. This graph is based on intrinsic properties of objects such as structure and geometry, so it is more robust than the current machine learning methods that can be fooled by changing a few pixels. Current methods have proved to be powerful but brittle because they ignore the structure and semantics of the objects. We define semantics as a form of abstraction, in terms of the intrinsic properties of the object, not in terms of human perception. Thus, it can be learned automatically. This is facilitated by the graph having two distinct hierarchies: abstraction and parts, which also makes its representation of objects more accurate and versatile. Previous semantic networks had only one amorphous hierarchy and were difficult to build and traverse. Our system performs both the learning and recognition by an algorithm that traverses both hierarchies at the same time, combining the advantages of top-down and bottom-up strategies. This reduces dimensionality and obviates the need for the brute force of big data training.
How Do I Squeeze the Most Out of Sequences?

The heart of the operation is the sequencer. It is a window with a set of parameters and information at the top, and a grid of “events” that dictates what has happened or is going to happen for the evening. On startup, it displays the last sequence used, or as a blank if it has not been used (or if SGP is configured to start with a new sequence each time). It gets its information from the equipment profile, from the real-time input of the user, and from the equipment itself. It displays what is to be done during the session, and what has already been done.
PENERAPAN METODE DISCOVERY LEARNING DALAM PEMBELAJARAN MENULIS TEKS ANEKDOT

This research is based on the curiosity of researchers towards the application of the Discovery Learning method in learning to write anecdotal text in class X students. From this background, a formulation of the problem can be drawn whether the application of the Discovery Learning method can improve the results of writing anecdotes in class X? This study was intended to determine the learning outcomes of writing anecdotes for grade X students whether grades could increase after being treated or not. The method in this study is a one-group pretest-posttest design experimental method. The sample used is class X students with a total of 26 students. Data collection techniques in the study used pretest and posttest which were analyzed through statistical analysis techniques. Researchers also used research instruments, namely the pre-test questions sheet and the post-test question sheet. From the results of research based on data processing, students' ability to write anecdotal texts obtained an average pretest test score of 55.38 and after applying the Discovery Learning method the posttest average score of 76.25. Then the value of writing an anecdotal text goes up by 20.87. Normality test results 0.202> 0.05, the results of the posttest and pretest were normally distributed. In conclusion, the use of Discovery Learning methods on students' ability to write anecdotal texts can be significantly improved.
Television as an instrument of consciousness transformation of modern man

This article is dedicated to the transforming influence of television on consciousness of modern man. Forall this we paid a particular attention to those aspects of its moderative effect which had not been enough studiedand reflected in a wide spectrum of materials.First of all, the reasons of TV popularity as the most perfect and reflective means to date of socio-cultural lifeof the society such as an inclusion of all the sections of the population, address to the emotional human sphereand use of universal cinema language have been considered.The telemoderation of human consciousness in the sphere of formation of his/her basic cultural and socialknowledge is of special significance for us. With this purpose we studied in the article a positive moderating roleas well as a negative one of such forms of the contact with the audience as serials, talk shows or aestheticizingTV programmes.At the same time, the main accent was given to the hidden forms of TV influence. The major conclusion basedon the research of competent authors such as mediaphilosopher H. McLuhan and psychiatrist J. O’Keeffe is in thatTV images organize a multiscaled reformation of thinking processes in human brain. The activization of his/hercreative right cerebral hemisphere and percepting perfection become the result of this productive moderation.The telemoderation of emotional human sphere is not of lesser importance. The analysis of researchoutcomes made by the German mediapsychologist Winterhoff-Spurk confirms the positive significance of TVcontent, especially one of horror genre, for increasing a general level of interior motivation. However, the resultsof experiments of quite a number of other researchers proclaim a negative moderation aspect by the telecastsbeing permeated with sense of alarm and fear because the negative feelings accumulate in the subconsciousnessthat raises a level of social and personal anxiety. The research outcomes on latent TV influence upon human physiology and at the same time upon his/herpersonal activity proved to be the most important. The conclusions of multiple experiments collected by theresearcher R. Patzlaff state that a TV review disconnects the proper activity of eyes, provokes its immobilitythat also decreases the interior activity. This aspect has a particular importance in the development of a child’sintellect and his/her verbal organs because the TV role in his/her life grew immeasurably. So the unlimitedcontact of the child with the screen results in the problem of development of his/her speech because any dialogueis not supposed to be here.The conclusion motivates the necessity of thorough study of negative aspects of telemoderation with thepurpose of minimizing its nonproductive effect.
Agile Skalierung und Architektur

No AccessVorgehensmuster für SoftwarearchitekturSep 2019Agile Skalierung und ArchitekturStefan TothStefan TothSearch for more papers by this authorhttps://doi.org/10.3139/9783446460096.008SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2019Pages: 255-285Print ISBN: 978-3-446-46004-1eISBN: 978-3-446-46009-6 Copyright & Permissions© 2019 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
Recurrent Connectivity Aids Recognition of Partly Occluded Objects

Feedforward convolutional neural networks are the prevalent model of core object recognition. For challenging conditions, such as occlusion, neuroscientists believe that the recurrent connectivity in the visual cortex aids object recognition. In this work we investigate if and how artificial neural networks can also benefit from recurrent connectivity. For this we systematically compare architectures comprised of bottom-up (B), lateral (L) and top-down (T) connections. To evaluate performance, we introduce two novel stereoscopic occluded object datasets, which bridge the gap from classifying digits to recognizing 3D objects. The task consists of recognizing one target object occluded by multiple occluder objects. We find that recurrent models perform significantly better than their feedforward counterparts, which were matched in parametric complexity. We show that for challenging stimuli, the recurrent feedback is able to correctly revise the initial feedforward guess of the network. Overall, our results suggest that both artificial and biological neural networks can exploit recurrence for improved object recognition.
Review Paper on Inter Story Isolation System

In higher seismic zones construction of high rise building with normal earthquake resistant design, it is necessary to provide their structural frame sufficient rigidity vertically and horizontally, make sure rigidity and strength in the plane.In base isolated building their upper structure experienced less seismic forces due to decoupling of superstructure to ground motion and is able to sustain concentration of rigidity and strength.Inter story isolation is evolved after the limitations of base isolation to meet the requirements of architectural, functional and cost consideration of structure.This system allows freedom for different structural planning of upper and lower level of isolation layer.In this paper seismic performance of buildings is measured using isolation at different levels.The different parameters like base shear, time period, story drift and story displacement are compared.Inter story isolation system also introduce high rise buildings by which the potential for new architectural planning and structural system is used for different purposes in building.
CORRELATION STUDY BETWEEN STUDENTS’ MOTIVATION AND THEIR READING COMPREHENSION AT MTS N 2 BANDAR LAMPUNG

The aim of this study is to find out the correlation between students’ motivationand their reading comprehension. This research is quantitative research. Thesubjects of this research were 40 second grade students of Secondary IslamicSchool in Bandar Lampung. The questionnaire and reading tests wereadministrated as the instruments of motivation and reading. The data wereanalyzed by using Pearson Product Moment Correlation in SPSS 16.0. The resultshows that the coefficient correlation between students’ motivation and theirreading comprehension is 0.637 at the significant level of 0.01. The coefficientcorrelation is higher than the critical value of r table (0.637>0.393). Therefore, thenull hypothesis is rejected which means that the working hypothesis is accepted.Based on the result, it can be concluded that there is correlation between students’motivation and their reading comprehension.Keywords : Correlation, Motivation, Reading Comprehension.
The Effect of Career Search Disability on College Career Determination Level and Career Preparation Behavior of College Students in Chinese Martial Arts

The purpose of this study was to investigate the effect of career seeking disability on career decision level and career preparation behavior of Chinese martial art major students. The collected data were individually input to a computer and processed according to the purpose of analysis using SPSS 25.0. Frequency analysis was performed in this study, and confirmatory factor analysis and reliability analysis, correlation analysis, and multiple regression analysis.BR The results of this study are summarized as follows: First, the career discovery disability of undergraduate martial arts college students has a positive (-) effect on career confidence level and a negative (+) effect on career undecided Respectively. Second, among the sub factors of career decision level, the information seeking activities, the tool equipped activities, and the goal achievement activities of the martial art college students were negatively (-) affected. Third, in the subcritical level of career decision level of college students of martial arts major, information gathering activities, tooling activities, and goal attainment activities appeared to have a positive (+) influence. On the other hand, career indeterminacy level was found to have a negative (-) effect on information gathering activities, tool activities, and brass achievement.
TMA: Tera-MACs/W Neural Hardware Inference Accelerator with a Multiplier-less Massive Parallel Processor

Computationally intensive Inference tasks of Deep neural networks have enforced revolution of new accelerator architecture to reduce power consumption as well as latency. The key figure of merit in hardware inference accelerators is the number of multiply-and-accumulation operations per watt (MACs/W), where, the state-of-the-arts MACs/W remains several hundreds Giga-MACs/W. We propose a Tera-MACS/W neural hardware inference Accelerator (TMA) with 8-bit activations and scalable integer weights less than 1-byte. The architectures main feature is configurable neural processing element for matrix-vector operations. The proposed neural processing element has Multiplier-less Massive Parallel Processor to work without any multiplications, which makes it attractive for energy efficient high-performance neural network applications. We benchmark our systems latency, power, and performance using Alexnet trained on ImageNet. Finally, we compared our accelerators throughput and power consumption to the prior works. The proposed accelerator outperforms the state of the art in terms of energy and area achieving 2.3 TMACS/W@1.0 V, 65 nm CMOS technology.
IMPLEMENTASI METODE K-NEAREST NEIGHBOR DAN REGRESI LINEAR DALAM PREDIKSI HARGA EMAS

Gold has become one of the inventions that people are interested in. The high resale value makes many people save it as a substitute for savings. But the price of gold is influenced by several things such as economic conditions, the level of demand and supply or the existence of goods, this has encouraged some parties to make predictions of gold prices to avoid unexpected losses going forward. Based on these problems the researchers tried to predict gold prices using the K-Nearest Neighbor (K-NN) method and Linear Regression. The K-NN method is used to classify the data that is owned to then make predictions using Linear Regression. From the test with the number of training data as many as 4305 data and test data as many as 402 data, the root mean square error value of 5.807% was obtained. Keywords : gold investment, gold price prediction, K-Nearest Neighbor, Linear Regression
Privacy Concern Code Generation Using Crypto Neural Scheme

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Prediction of Language Users Based on Multi-factor Analysis

Predicting the number of speakers in different languages in the next 50 years will not only have far-reaching significance for human social development, cultural intercommunication, but also have a positive effect on the popularization of common languages and the protection of endangered languages. In order to predict the number of speakers in each language, this paper established a Grey Markov Prediction Model and used the Analytic Hierarchy Process to consider the political and economic strength, population size, language audience, immigration rate and use of electronic communication and social media to correct the results. After 50 years, English, Hindi, and Chinese will become the top three most used languages. The prediction and test results show that the corrected results are more accurate and closer to the actual development of the society, and the accuracy of the results is improved.
Wasserstein Collaborative Filtering for Item Cold-start Recommendation

The item cold-start problem seriously limits the recommendation performance of Collaborative Filtering (CF) methods when new items have either none or very little interactions. To solve this issue, many modern Internet applications propose to predict a new item's interaction from the possessing contents. However, it is difficult to design and learn a map between the item's interaction history and the corresponding contents. In this paper, we apply the Wasserstein distance to address the item cold-start problem. Given item content information, we can calculate the similarity between the interacted items and cold-start ones, so that a user's preference on cold-start items can be inferred by minimizing the Wasserstein distance between the distributions over these two types of items. We further adopt the idea of CF and propose Wasserstein CF (WCF) to improve the recommendation performance on cold-start items. Experimental results demonstrate the superiority of WCF over state-of-the-art approaches.
MENINGKATKAN HASIL BELAJAR IPS SISWA DENGAN MENGGUNAKAN METODE PETA KONSEP DI KELAS V SD NEGERI 028 KUBANG JAYA

This research is motivated by the low learning outcomes of social science students in class V of SD Negeri 028 Kubang Jaya. The purpose of this study is to improve students' social studies learning outcomes by applying the concept map learning model. The design of this research is classroom action research consisting of two cycles. Each cycle consists of four stages such as planning, implementing, observing, and reflecting. The results of the study showed that, judging from the basic scores of students, students who completed by 11 people (44%) and incomplete as many as 14 people (56%). From the results of the first cycle of the first cycle of daily tests, there were 18 students (72%) complete and 7 students (28%) incomplete. Whereas in the second cycle of the second cycle of daily tests, there were 22 students (88%) complete and 3 students (12%) incomplete. From these results, the researcher can conclude that by applying the concept map method it can improve the learning outcomes of social science fifth grade students of SD Negeri 028 Kubang Jaya
MODERN APPROACHES TO THE PRESERVATION OF FUNDS IN THE LIBRARIES OF UKRAINE: HISTORIOGRAPHY OF RESEARCH

Purpose of the article. The research is connected with the analysis of librarianship publications on the issues of preservation of documents in libraries of Ukraine. Methodology. In the process of research, scientific methods of analysis, synthesis, generalization and historiographical method have been applied. The scientific novelty of the work is a historiographic review of scientific works of domestic researchers, methodological materials on the issues of preservation of documents prepared in the XXI century, an analysis of traditional and modern approaches to the preservation of funds in libraries in Ukraine. The directions of improvement of the activity of libraries on preservation of documents are determined. Conclusions. As a result of the study, it was discovered that most of the papers covered important issues of document storage in libraries, but the historiographical review of modern approaches, trends in the use of methods and methods of document storage was not traced. This will enable you to deepen research on important issues of document and electronic resource storage.