Reviewerly/exHarmony huggingface dataset:
System for Inception of Images From An Under Drawing

Catching the criminal on the basis of eyewitness description sketches which are generated by any software or hand drawn this technique becomes useful when there is deficiency of evidence. Recognising the sketches with face photos to find the results. A facial recognition is a technology capable of verifying a person by using deep learning is the part of data science and this creating more importance in law enforcement agencies. Deep learning generally used for recognising application like voice recognition, face recognition, audio and video recognition. In this system, we are working larger dataset because deep learning not useful for small amount of data. We first learn feature embeddings of key face components, and push corresponding parts of input sketches towards underlying component manifolds defined by the feature vectors of face component samples. We also propose another deep neural network to learn the mapping from the embedded component features to realistic images with multi-channel feature maps as intermediate results to improve the information flow. Our method essentially uses input sketches as soft constraints and is thus able to produce high-quality face images even from rough and/or incomplete sketches. Our tool is easy to use even for non-artists, while still supporting fine-grained control of shape details. Both qualitative and quantitative evaluations show the superior generation ability of our system to existing and alternative solutions. The usability and expressiveness of our system are confirmed by a user study.
Mastering the Methods of Cognition of Natural Phenomena As an Important Component of the Natural Science Functional Literacy of a Primary Schoolchild

The article discusses the features of building the process of familiarizing elementary schoolchildren with scientific methods of cognition (observation, experience) and their application to obtain new knowledge, solve educational, practical and educational-cognitive problems. This direction of educational activity of schoolchildren implements meta-subject learning outcomes in accordance with the requirements of the Federal State Educational Standard of Primary General Education, and also forms the basis of natural-scientific functional literacy among younger schoolchildren. On the basis of the author’s study, the principles of adapting scientific methods of cognition for use as ways of organizing learning activities are determined; the main stages of the formation of the ability of students to use scientific methods of cognition in students are identified.
MEDIA

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 55, Issue 12 p. 22136C-22137C Social and Cultural MEDIA First published: 16 January 2019 https://doi.org/10.1111/j.1467-825X.2019.08652.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume55, Issue12January 2019Pages 22136C-22137C RelatedInformation
Spam Detector: A Solution for Finding Bogus Opinions and Spammer Classification in E-Commerce

In this paper we propose a system called Spam Detector to find out spam reviews of particular product. This framework uses spam features which helps to review datasets. In proposed system four different categories of features are included such as review behavioral (based on behaviour of review) , user behavioral (based on behaviour of user), review linguistic (based on linguistic pattern of review) and user linguistic (based on linguistic pattern of user). In today’s world, most of people take decision based on information available through social media reviews on a topic or product. Due to this it is possible that anyone can post a review for a particular product which give a chance for spammers to post junk reviews related to particular product and facilities. To find out such spammers and the spam review is becoming important. Some methods exist to cope up with this problem, but these methods hardly detect spam reviews, and are not based on the extracted feature type. Weight of spam features are used to gain better results in the form of different aspects tested on real world review datasets. Here the used dataset is from Amazon websites. The experimental results show that Spam Detector beats the present method.
The Difference of Composite Resin Compressive Strength with Sidikalang Coffee Soaking

Composite resin is a caries filling material. Generally, dentists choose this type of resin as a restoration material because this material has a high compressive strength. There are several factors that influence the compressive strength of composite resins, including beverages consumed such as coffee. This study aims to determine the difference in the compressive strength of the composite resin with Sidikalang coffee immersion in 9 hours, 27 hours and 54 hours immersion time. This type of research is experimental laboratories with posttest only control group design. The research sample was composite resin measuring 8 mm in diameter and 4 mm in height. The sample size is determined by the Federer formula and a total sample of 24 was obtained for the four treatment groups. Measurement of compressive strength using a three-point bending tool on a universal testing machine. Data were analyzed by using the oneway Anova test. Based on the results of the study, the average compressive strength of composite resin in the group without immersion, 9 hours, 27 hours and 54 hours of immersion was 20.69 ± 0.84, 18.94 ± 0.41, 14.36 ± 0.66 and 6.70 ± 0.48. From the results of the study it can be concluded that the ads are a significant difference in the average compressive strength of composite resin after immersion in Sidikalang coffee for 9 hours, 27 hours and 54 hours.
Improving Mapreduce Process By Introducing Aggregator Repartition Data for Big Data Analytics

This work suggested data aggregator is used in between the mapper and reducer to enhance the performance of MapReduce. Initially the massive amount of data is partitioned into number of subset of data through the n number of independent mappers and it produces key value pairs for each partitioned data. Then the key value pairs are fed into aggregator where the data from different mappers are combining with smaller amount than the input. Followed by data aggregation data de duplication is carried over then repartition the data based on content, computation and network aware of data. Finally reducer merges the data to produce the final output, the proposed Content, computation and Network Aware (CCNA) Map Reducer is compared with the existing Content Aware (CA) Map Reducer and Content, computation Aware (CCA) Map Reducer.
Creating Custom Data Connectors

With canvas apps, we can connect to a wide range of data sources through standard and premium data connectors. But what if we want to access data sources that are not natively supported – is this possible? The answer is yes. By building a custom data connector, we can connect to any data source that is accessible through a web service. And if our required data source doesn't include a web service interface, we can overcome this by building our own web service (although this falls outside the scope of this book).
Mahytec partners with Nexeya on energy storage, school system

French companies Mahytec and Nexeya have signed a partnership agreement to develop energy storage solutions. Mahytec has also delivered its second educational hydrogen station, to a school in Montbélliard, near the border with Switzerland.
Collective Work as an Inspiration for Legal Qualification of Computer-Generated Works – Comparative Analysis of the Institution from Polish and French Copyright Law Perspective

The paper focuses on the question whether the institution of collective work could be used as an inspiration in order to regulate the legal situation of computer-generated works. Technological progress makes the creation of art by artificial intelligence with only minimal human participation an increasingly popular phenomenon. For this reason, world literature more and more often discusses how to legally qualify algorithmic creativity. An interesting idea, proposed in January 2020 by French Superior Council of Literary and Artistic Property is to regulate the issue alike the institution of a collective work. The study of the nature of computer-generated creativity on the example of the Endel musical start-up conducted in this paper will help to understand the complexity of the problem of algorithmic creativity. It will be also a valuable introduction to the analysis of the institution of collective work in Polish and French law. This comparative study will be important in the context of assessing the French proposals for the legal qualification of algorithmic creativity and examining to what extent the model of the collective work can be applied to computer-generated works in Polish copyright law.
Fast Algorithms

The focus of this chapter is on fast algorithms: the fast Fourier transform, the fast Haar transforms, and the fast Walsh transform. To build a fast algorithm we use an original approach stemming from introduction of a recurrent sequence of orthogonal bases in the space of discrete periodic signals. On this way we manage to form wavelet bases which altogether constitute a wavelet packet. In particular, Haar bases are wavelet ones. We pay a lot of attention to them in the book. We investigate an important question of ordering of Walsh functions. We analyze in detail Ahmed–Rao bases that fall in between Walsh basis and the exponential basis. The main version of the fast Fourier transform (it is called the Cooley–Tukey algorithm) is targeted to calculate the DFT whose order is a power of two. In the end of the chapter we show how to use the Cooley–Tukey algorithm to calculate a DFT of any order.
Cryptocurrencies’ Puzzle

The present paper tries to bring a certain degree of clarity to the cryptocurrencies puzzle by discussing the existing definitions and some classifications identified by academic studies. Further, it investigate, based on various academic studies, the uses of cryptocurrencies and their potential role as alternative money. The regulations regarding the cryptocurrencies are also considered since the spreading of the cryptocurrency phenomenon and the risks associated with the use of cryptocurrencies in various capacities raise problems related to (small) investor protection and anti-money laundering. Key words: cryptocurrencies, medium of exchange, assets, regulations JEL Classification: E49; E59
Planning and Budgeting the Transition to a Digital Tomorrow

Economics, new technologies, and customer needs are driving the shift to a digital environment. The University of Arizona Library (UAL) is designing a strategy that incorporates multiple tools to manage this transition, including (1) a managed balance of serial and monographic materials in various formats, (2) data-based fund allocation, (3) exploration of multiple digital access alternatives, and (4) the use of prototyping and project development for managing knowledge gained about digitization work, and for planning and budgeting future work. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo@haworth.com]
Scientific and pedagogical schools in documentary education: modern features of formation and development

The article is devoted to revealing of peculiarities of formation of scientific-pedagogical schools in documentary education at the present stage. The principle of unity of scientific and educational activity of the departments as a basis and driving force of formation of scientific-pedagogical schools (SPS) in the scientific and pedagogical environment of higher education is defined. The relevance of the study of the peculiarities of formation and development of documentary scientific-pedagogical schools in the specialty "Information, library and archival affairs", which begin in terms of offers of educational services by higher educational institutions (including technical direction), for which this specialty is not included traditional subject area of specialist training. Modern approaches to understanding the concept of "scientific-pedagogical school" are analyzed, some of its identification parameters are out of date. The peculiarities of formation and development of scientific-pedagogical schools in documentary education are revealed, in particular, the presence of a dichotomy of scientific interests of the leader and members of a potential scientific-pedagogical school at the beginning of a scientific-pedagogical school of documentary education; contradictions in the model of activity of the leader of a scientific-educational school, according to which he should predict and design a model of a specialist in a specialty, offering a curriculum and educational program of university training being a representative of another branch of knowledge; the absence of an atmosphere of scientific discourse in the subject field of documentary science at the departments that are potential sponsors of scientific-pedagogical schools in documentary education in their university. Attention is drawn to the expediency in the university of technical direction of the proposal of the educational program "Engineer for scientific and technical information". Identification parameters and factors of development of scientific-pedagogical school in higher education institution are outlined.
Volatile Memory Forensics Of Privacy Aware Operating Systems

Along with the use of the internet, awareness regarding the privacy of the user data is also increasing slowly and gradually but at a comparatively slower rate than that of cybercrime. At present in the market, there are many such operating systems available that are secured and leave the minimum number of traces which makes it difficult to retrieve or obtain any kind of data from that system after carrying out the forensics of that machine. In this research, acquisition, and analysis of random access memory (RAM), of such secured operating systems, is performed and potential artefacts related to the activities are identified, that the operating systems leave in the memory of the system which can be further submitted in the court of law as evidence in case of a crime being committed using such security providing technology.
Modelling Cyber-Crime Protection Behaviour among Computer Users in the Context of Bangladesh

This study examined the impact of security champion and security training on protection behaviour in the context of IT service oriented SMEs in Bangladesh. Drawing upon protection motivation theory, this study examined the influence of security training on threat appraisal and influence of security training on coping appraisal which leads to protection behaviour via protection motivation. Data was collected from six different IT service oriented organizations with a sample size of 147 by survey questionnaire. Data was analysed using partial least squares (PLS) technique and result shows that perceived value of data, security training and threat appraisal are strong predictors of threat appraisal, protection motivation and protection behaviour. Theoretical contribution and practical implications of this research are also discussed.
On Tracking Closely-Spaced Targets in a PARAFAC-Representation of the Fermionic Wave Function Formulation

Closely spaced multi target tracking remains a challenging problem in state estimation and data fusion. A recent formulation of the problem using antisymmetric square roots of density functions, which may be interpreted as multi target wave functions, has proposed a separation of densities by means of the resulting "Pauli-Notch". In this paper, this formulation is extended for non-Gaussian posterior densities, which are given in discretized and Candecomp-/Parafac decomposed form. Such densities can be predicted by a numerical solution of the Fokker-Planck-Equation. A modified operator for the respective wave function is presented together with the Bayes recursion in order to solve state estimation based on antisymmetric wave functions.
Second Law of Entanglement Dynamics for the Non-Asymptotic Regime

The distillable entanglement of a bipartite quantum state does not exceed its entanglement cost. This well known inequality can be understood as a second law of entanglement dynamics in the asymptotic regime of entanglement manipulation, excluding the possibility of perpetual entanglement extraction machines that generate boundless entanglement from a finite reserve. In this paper, I establish a refined second law of entanglement dynamics that holds for the non-asymptotic regime of entanglement manipulation.
Detection of Cyber Crime Incidents

Cyber-crime analysis involves the combination of past network attacks with new illegal patterns/acts. Singular cybercrime incidents are cases of individual criminal offences which are increasingly expanding according to the misconduct report furnished by independent regional initiative. In 2014, the Internet Complaint Centre issued 269,422 complaints of internet wrong doing. According to the Federal Investigation Bureau, there prevails a rise of 1600 percent crimes as compared to the 16,838 grumbles remembered for the underlying study. In an overall report published by PricewaterhouseCoopers the amount of data protection seems much lesser and is in pitiful condition. Around 2014, the crime rate in globe rose by 48 percent, with an average of 117,339 assaults per day. The proposed system can be explained by a description of recommended operations, contrasting steps and effective tactics that align with the form of offense and with a particular sequences of patterns. Such collaboration would allow better tracing, care for and mitigate incidents of cyber-crime.
The Role of Mutual Information and Semantic Similarity in Sentence Processing: The Case of Dangling Topic Construction in Chinese

This study uses computational approaches to clarify the syntactic problems of dangling topic construction in Mandarin Chinese. Previous studies of topic construction in Mandarin Chinese have often syntactically analyzed the relationship between the topic and the rest of the construction. However, syntactic approaches have not clarified dangling topic construction, that is, constructions where the topic seems to dangle. That meant these previous studies had to implicitly make use of other approaches (such as pragmatic knowledge) to advance their arguments. The difficulty is that the concepts from pragmatics that these studies used were very vague and subjective. In order to tackle this problem, this paper explicitly computes the relation in dangling topic construction in Chinese using semantic similarity and pointwise mutual information. We propose three methods for computing the semantic similarity between topic and comment. We also collected experiential data using human ratings of the acceptance degree for a set of dangling topic constructions. The results demonstrate that pointwise mutual information and the three measures of semantic similarity can make good predictions about the data on the human rating of these dangling topic constructions. The event knowledge could be integrated with semantic similarity in order to strengthen the predictability of cognitive processes in understanding sentences. These measures play a similar role to that of semantic plausibility in sentence processing. This is the first time that PMI and sentence-based semantic similarity are employed to predict how humans comprehend sentences. The PMI and sentence similarity measures are likely to shed further light on the notion of topic construction and to help in seeing how Chinese speakers understand and process sentences. More importantly, this study creates a novel, effective and practical computational approach for predicting sentence comprehension/processing and syntactic analysis.
Numeric Sign Language Recognition Using Deep Learning

There are more disabled people living in South Korea than expected, living in a state-of-the-art era that goes beyond the 4G era to the 5G era.In particular, the communication problems experienced by hearing and speech-impaired people are causing discomfort in out-of-home activities and limiting the scope of their activities.The government has decided to implement a neural network that recognizes even some of these signs with the aim of relieving some of the inconveniences experienced by disabled people.We believe that AR (Augmented Reality) and VR (Virtual Reality) can be combined to sufficiently apply them to real life to relieve the discomfort of many hearing and speech impaired people.In this paper, it was basically constructed based on CNN (Convolution Neural Network) and aimed to categorize 10,000 input nodes into 10 classes at the end through synthetic multiplication operations.As the number of images secured is small, the K-Way verification method was used to learn and verify them 300 images were grouped together to verify 5-way.
A New Version Non-Zero Diffusion Particle Flow

Molecule stream (PF) is a technique initially proposed for single objective following, and utilized as of late to address the weight decline issue of the consecutive Monte Carlo likelihood speculation thickness (SMC-PHD) channel for various media (AV) multi-speaker following, where the molecule stream is determined by just the estimations close to the molecule, accepting that the objective is identified, as in an ongoing standard dependent on non-zero molecule stream for example the AV-NPF-SMC-PHD channel. This, be that as it may, can be tricky when impediment occurs and the blocked speaker may not be distinguished. To address this issue, we propose another technique where the marks of the particles are evaluated utilizing the probability work, and the molecule stream is determined as far as the chose particles with similar names. Subsequently, the particles related with identified speakers and undetected speakers are recognized dependent on the molecule names. With this novel strategy, named as AV-LPF-SMC-PHD, the speaker states can be evaluated as the weighted mean of the named particles, which is computationally more effective than utilizing a bunching technique as in the AV-NPF-SMC-PHD channel. The proposed calculation is contrasted efficiently and a few standard following techniques utilizing the AV16.3, AVDIAR and CLEAR datasets, and are appeared to offer improved following precision with a low computational expense.
Stable and Radioisotope Systematics Reveal Fossil Water as Fundamental Characteristic of Arid Orogenic-Scale Groundwater Systems

Analysis of tritium in water discharging within Salar de Atacama basin show it is composed predominantly of water >60 years old.• Water entering the Salar de Atacama basin is spatially distinct and decoupled from recharge on the Altiplano-Puna plateau.• Analysis of stable O and H isotope ratios in 900 water samples constrain the spatiotemporal dimensions of modern and fossil groundwaters.
Intake

OpflowVolume 47, Issue 3 p. 2-2 Departments Intake First published: 07 April 2021 https://doi.org/10.1002/opfl.1509Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume47, Issue3April 2021Pages 2-2 RelatedInformation