Reviewerly/exHarmony huggingface dataset:
Video Moving Object Detection Technology Based on Deep Learning

In the field of computer vision, video intelligent recognition technology is still a research difficulty. With the improvement of power grid automation, video monitoring system has been widely used in power grid. In power application scenarios, real-time monitoring of the scene and equipment can make the power grid truly unattended and make the power grid operation more secure. In order to solve the problem of low accuracy of power scene video intelligent recognition and improve the real-time performance of video processing, a video moving target detection technology based on lightweight convolutional neural network is proposed. Firstly, the image preprocessing technology is used to process the collected image, so as to filter the interference of background and other factors on device recognition; Then, a lightweight convolutional neural network structure mobilenet is designed as the feature extraction module of the target detector; Then, the multi-target detection algorithm based on R-FCN is used to locate the inspection equipment; Finally, the deep neural network compression technology based on network sharing and quantization is used to compress the target detection model to reduce its memory occupation, so as to improve the real-time performance of target detection. The experimental results show that the method can accurately locate and recognize the moving target in the video, and can be applied to the intelligent recognition task in the power scene.
Congratulations! Journal of Robotics and Mechatronics Best Paper Award 2019

We are pleased to announce that the 12th Journal of Robotics and Mechatronics Best Paper Award (JRM Best Paper Award 2019) has been decided by the JRM editorial committee. The following paper won the JRM Best Paper Award 2019, severely selected from among all 94 papers published in Vol.30 (2018). The Best Paper Award ceremony was held in Gakushi-Kaikan, Tokyo, Japan, on January 7, 2020, attended by the author and JRM editorial committee members who took part in the selection process. The award winner will also be announced on the JRM website and was given a certificate and a nearly US$1,000 honorarium. JRM Best Paper Award 2019 Title: End-to-End Autonomous Mobile Robot Navigation with Model-Based System Support Authors: Alexander Carballo, Shunya Seiya, Jacob Lambert, Hatem Darweesh, Patiphon Narksri, Luis Yoichi Morales, Naoki Akai, Eijiro Takeuchi, and Kazuya Takeda J. Robot. Mechatron., Vol.30 No.4, pp. 563-583, August 2018
Guinea: Selected Issues

Redistribution 2 This increase was not directly driven by changes in the price of the commodity for which all of Guinea's bauxite is an ingredient: aluminum (Figure 3d).In contrast, volumes of production of the second most important mineral in Guinea, gold, were broadly correlated with prices (Figure 3e).
Relevant Independent Variables on MOBA Video Games to Train Machine Learning Algorithms

Popularity of MultiplayerOnlineBattle Arena (MOBA)video gameshas grown considerably, its popularity as well as the complexity of their playability, have attracted the attention in recent years of researchers from various areas of knowledge and in particular how they have resorted to different machine learning techniques. The papers reviewed mainly look for patterns in multidimensional data sets. Furthermore, these previous researches do not present a way to select the independent variables(predictors)to train the models. For this reason, this paper proposes a listof variables based on the techniques used and the objectives of the research. It allows to provide a set of variables to find patterns applied in MOBA videogames.In order to get the mentioned list,the consulted workswere groupedbythe used machine learning techniques, ranging from rule-based systems to complex neural network architectures. Also, a grouping technique is applied based on the objective of each research proposed.
Applications of Extended Reality (XR) for Creation of Real-and-Virtual Combined Environments and Human

The Technological pace is increasing day by day where artificial intelligence along with the extended reality and other technologies has emerged hugely. The new industrial world, especially the entertainment and gaming industry, has adopted these technologies on a high scale. Here, in this article the key concept of extended reality has been described. This paper has also mentioned their unique characteristics and how it works in describing manner. The major purpose of this study is to make the readers understand about the immerse feature of XR. Significant discussion in this study has focused on the creation of a unique blend of real and virtual world addressing the role of humans in this technology.
Referencing

References are used to provide guidance and support for arguments in academic texts – this is how the collaborative web of scientific thinking is supposed to be weaved. Wrecked references, misleading references or failure to reference relevant material will for that reason corrupt the entire research endeavour. This chapter discusses when you should use references; how you should use references; and what you should refer to. It also runs through formal technicalities related to referencing.
Real Time Rasperi Pi Facial Emotion Recognition using Pca Improved

Emotions are first-rate way of communicating information and on occasion it deliver extra records than words. These days, there has been large hobby in automatic popularity of human emotion because of its huge spread utility in protection, surveillance, advertising, commercial, and human –laptop interaction. To speak with a laptop in a natural way, it will likely be applicable to apply more herbal modes of human conversation primarily based on voice, gestures and facial expressions. In this paper, a holistic method to facial expression recognition is to propose which captures the variant in facial functions in temporal domain and classifies the series of images in extraordinary feelings. The dimensionally of the Eigen area is reduced the use of fundamental aspect evaluation (PCA). Through projecting the following face photographs into primary Eigen guidelines, the variation pattern of the acquired weight vector is modeled to categories it into exclusive feelings. As a result of the versions of expressions for exceptional humans and its intensity, someone particular approach for emotion popularity is followed. The use of the gray scale pix of the frontal face, the machine is able to classify 4 simple emotions whic
Scanpaths Prediction Based on Signals Competition

Human scanpath is an important reflection of the cognitive process in image observation and understanding. Accurately predicting scanpaths that match the physiological mechanism of the human eye under visual search tasks is helpful for designing a more natural human-computer interaction system. Aiming at the problem that current physiologically inspired scanpaths prediction model has simple input information and does not consider the interaction and competition of different signals, this paper proposes a scanpaths prediction model based on the signals competition. In this model, top-down and bottom-up signals are obtained from a two-stage object detection network, and a "parallel processing - organic fusion" computing structure is established based on physiological parameters to simulate the visual search process. In this paper, the model is tested on the dataset of clock and microwave(MCS), and the results show that the method has a significant improvement over the benchmark in the metrics.
Studentsâ€™ Attitude toward English Learning: A Study in a Junior High School

AbstractStudentsâ€™ language attitude is one of important things to be successful in language learning process. Studentâ€™s attitude is classified into: cognitive, behavior and emotional aspect of attitude. The purpose of this research is to identify studentsâ€™ attitude toward English language learning in a junior high school. This research employed survey research specifically in Junior High School X with 158 students as research participants. The researcher collect the data by using â€œBehavior Cognitive Emotional Attitude (BCEA) questionnaire consisting 45 items with five point-likert scale from level 1 to 5. The data were analyzed by using SPSS and Microsoft excel. The findings show that Behavior Aspect of Attitude (BAA) Mean=3.304641; SD=0.815134, Cognitive Aspect of Attitude (CAA) Mean= 3.579747 ; SD=0.829148, Emotional Aspect of Attitude (EAA) Mean: 3.457384 SD: 0.83255 which means studentsâ€™ in Junior High School X have positive attitude toward English learning.Keywords: Studentsâ€™ Attitude, Language Learning, Behavior, Cognitive, Emotional.
Accelerating the Gabor Transform with a GPU for SAR Image Compression

The Gabor transform can be utilized in an algorithm for compression due to its ability to allow the user to isolate high frequency information to filter. This transform can be implemented using FFT’s to aid in calculating the Gabor coefficients of a particular image. In the C++ programming language, an open source library exists called FFTW that is able to perform FFT’s quickly on the CPU. cuFFT does have a bottleneck during the initial allocation of the input, output, and plan for the desired FFT, but with larger images these became less and less impactful. Image compression algorithms using the Gabor transform can benefit in reduced computational time from cuFFT’s functions.
Examine the Impact of Service Quality on Customer Satisfaction in the Jordanian Mobile Communication Companies

This study intended to examine the impact of service quality on customer satisfaction in mobile communication sector in Jordan.Five dimensions of perceived service quality were used and these are: Tangibility, Reliability, Responsiveness, Assurance and Empathy.Relevant survey data was collected through random convenience sampling using valid questionnaires that distributed online throughout different governorates of Jordan.Several statistical methods were used to test the hypothesis such as Reliability test, Cronbach Alpha, Correlations and Regression analysis.Analysis from a sample of 55 respondents reveals that the Tangibility and Assurance dimensions of perceived service quality did not show a statistically significant relationship with satisfaction, that corporates other dimensions were found to have a positive impact on customer satisfaction, reliability has the most significant influence.In addition, both responsiveness and empathy has the least significant impact on satisfaction.
Journal of Mineralogical and Petrological Sciences

Official journal of Japan Association of Mineralogical Sciences (JAMS), focusing on mineralogical and petrological sciences and their related fields. Journal of Mineralogical and Petrological Sciences (JMPS) is the successor journal to both “Journal of Mineralogy, Petrology and Economic Geology” and “Mineralogical Journal”.
Acknowledgment to Reviewers of Journal of Sensor and Actuator Networks in 2020

Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Journal of Sensor and Actuator Networks maintains its standards for the high quality of its published papers [...]
Misère Games

Back in 1902, in his first analysis of nim, Charles Bouton analyzed the inverse version of standard nim. In an inverse game of nim, generally called a misere version, each player attempts to move in such a way that he would lose according to the usual rules. Thus, he must attempt to force his opponent to move to an end configuration. In the misere version, the end configuration must be excluded in the first property, which indeed can be viewed as a W configuration—after all, the player who just moved has lost—but there is no longer any possible move. A nim variant that always begins with the same initial configuration is Nimbi. It was invented by the Dane Piet Hein, the coinventor of Hex, around 1950, and it was marketed commercially for several years. Nimbi is played with 12 stones, which at the start of the game are positioned on the intersection points of the same number of lines.
SIFAT-SIFAT GRAF PEMBAGI NOL PADA GELANGGANG POLINOM KUOSIEN (Z_p [x])/〈x^(n+1) 〉 ×(Z_q [x])/〈x^(n+1) 〉

Zero-divisor graph is an undirectedgraphwhose vertices are zero-divisors of a commutative ring and edges defined as if and only if .Wicaksono (2013) gave some characteristics of graph zero-divisor in the modulary integer ring. This research aims to represent the zero-divisor elements of the polynomial kuosien ring where are prime numbers and into a graph called the zero-divisor graph The method used in this research is a deduktive method. The result shows that the zero divisor graph obtained from polynomial kuosien ring is complete bipartit graph with some characteristics related to its girth, ecccentricity, radius and diameter.
Preface

Abstract The 2020 4th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2020) was held on February 21-23, 2020. Since 2017, this annual international conference has been held for three times, and this time, the fourth conference was held via online platform due to the COVID-19 crisis, which is different from the previous traditional way. Despite the distance, online IWAACE 2020 enables experts and scholars in the field of Advanced Algorithms and Control Engineering to continue to communicate and discuss the state-of-the-art research with each other. It provides a flexible way for scholars and practitioners to enhance academic exchange and cooperation. We were honored to have Dr. Yuanzhu Chen, Head of Department of Computer Science, Memorial University of Newfoundland, Canada, to chair IWAACE 2020. Our Technical Program Committee constitutes more than 40 experts in the field of Advanced Algorithms and Control Engineering from home and abroad. During the conference, we were pleased to invite three distinguished experts to present their insightful speeches. Prof. Xinguo Yu from University of Wollongong, Australia, shared his study on Automatic Problem Solving for Basic Education. Assoc. Prof. Xiang Zhou from City University of Hong Kong, China, held a speech on the topic of Machine Learning and Control Theory. Dr. Badrul Hisham bin Ahmad from Universiti Teknikal Malaysia Melaka, Malaysia, talked about Design and Development of VHF FRONT-END for lightning interferometer system. List of More details of the virtual conference format, Committee members are available in this pdf.
Model migrations

Database migrations allow you to track changes in your database models and propagate them to the underlying database schema. If your standalone app includes concrete models, then you'll need to include migrations with your app. As with running tests, this is not fundamentally different in a standalone app than in an app in your own project; however, there are a few gotchas to watch out for.
Edge servers placement in mobile edge computing using stochastic Petri nets

Mobile edge computing (MEC) is a network architecture that takes advantage of cloud computing features (such as high availability and elasticity) and makes use of computational resources available at the edge of the network in order to enhance the mobile user experience by decreasing the service latency. MEC solutions need to dynamically allocate the requests as close as possible to their users. However, the request placement depends not only on the geographical location of the servers, but also on their requirements. Based on this fact, this paper proposes a stochastic Petri net (SPN) model to represent an MEC scenario and analyse its performance, focusing on the parameters that can directly impact the service mean response time (MRT) and resource utilisation level. In order to present the applicability of our work, we propose three case studies with numerical analysis using real-world values. The main objective is to provide a practical guide to help infrastructure administrators to adapt their architectures, finding a trade-off between MRT and level of resource usage.
Can CUT&amp;RUN and CUT&amp;Tag Replace ChIP-Seq?

Genetic Engineering & Biotechnology NewsVol. 40, No. 12 Sponsored ContentCan CUT&RUN and CUT&Tag Replace ChIP-Seq?Advances in ultra-sensitive immunotethering technologies are transforming chromatin researchPublished Online:5 Dec 2020https://doi.org/10.1089/gen.40.12.09AboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View articleFiguresReferencesRelatedDetails Volume 40Issue 12Dec 2020 Information© 2020 by GEN PublishingTo cite this article:Can CUT&RUN and CUT&Tag Replace ChIP-Seq?.Genetic Engineering & Biotechnology News.Dec 2020.29-29.http://doi.org/10.1089/gen.40.12.09Published in Volume: 40 Issue 12: December 5, 2020PDF download
Disciplinary Control System Based on Naïve Bayes Classification Technique using Jsp Servlets

The idea behind the task is to create the complaint about the student, who behaves mischievously in any circumstances by not following the dress code which includes things like identity cards, shoes, tuck especially for men, students should not carry mobiles to college if any person/student violates these rules then the disciplinary committee members have the authority to take off that particular student’s belongings (I.e. I’d card, mobiles). If that particular student caught more than one time for any condition then then the disciplinary committee will charge a fine and sometimes the mobile phones and I’d cards will be moved into locker (where they head of the committee members will have capacity to keep with them more than 3 days to 1 month, sometimes they will keep with them 1 year too. Students have to spend much time to take their belongings from the disciplinary committee members and also to take permissions, instead of that we are created a website and in that website students, disciplinary committee members including administrators can read, write, create and delete the comments that are created. From that data we can analyse in the way of plotting techniques and classification approach in which year students are not in discipline manner.
Review comments for manuscript of &amp;quot;A 16-year dataset (2000–2015) of high-resolution...&amp;quot;

In this paper, the authors generated 16-year dataset of surface solar radiation (SSR) with high resolution, according to the latest ISCCP and ERA5 data.The SSR is required for land surface process simulations and solar energy estimation.The proposed method for SSR estimation is the physical scheme that used in the previous studies of Qin and Tang et al.The paper is clear and well written.However, the following questions are not satisfactorily answered:(1).In recent years, Zhang et al 2014 developed SSR high-resolution products based on multi-source satellite data e.g.MODIS.It is recommended that the author describe the characteristics of the study in Line 104, indicating the differences and individual
Modification of circumsolar radiation for anisotropic diffuse radiation models: Photovoltaic collectors on sloped planes

Photovoltaic fields are deployed in multiple collector rows on horizontal and on sloped planes, therefore the second (and subsequent rows) sees the sky dome with a smaller angle than the first (front) row
Mobilization of Domestic Savings in Formal Financial Institutions: The Missing Link to Economic Growth

The purpose of the study was to examine factors that affect a Kenyan household's decision to save in formal financial institutions.This is because domestic saving finances investment and therefore economic growth.A non-experimental research design was utilized using secondary data collected from a national-wide household survey in Kenya in 2009.Cluster stratified probability sampling was used in selecting regions and households that were included in the survey.A total of 6,598 households were used in the survey, using a questionnaire to gather information on financial access.Descriptive and inferential statistics were used for data analysis.The results indicated the factors that influence household's decision to save in formal financial institutions were availability of loans, level of financial information, location of household, sector of employment, expectations about future economic conditions, level of income, number of banks in district of residence, transaction cost and time to nearest bank branch.
The Business Case for Decision Assurance and Information Security

This chapter discusses how businesses use information to get work done and why that drives their needs for information security. It states that all businesses work by using ideas to transform one set of “inputs” into another set of “outputs”; they then provide or sell those outputs to their customers at a price that (ideally) more than pays for the cost of the inputs, pays everybody's wages, and pays a dividend back to the investors. That set of ideas is a key to what makes one business different from another. That initial set of ideas is perhaps the “secret sauce” recipe, the better mousetrap design, or simply being the first to recognize that one particular marketplace doesn't have anybody providing a certain product or service to its customers. Business logic is intellectual property. Successful businesses are the ones that can translate the hopes and dreams of their founders into solid, thoughtful business logic; and as we say, that investment in business logic can become the key to competitive advantage that a business can have in its chosen marketplace. Keeping that business logic safe and secure requires the due care and due diligence of all concerned including the SSCPs working with the business on its information systems.
Requirement elicitation using Online Social Networks: A Comparative Analysis of Online Financial Transaction Applications

Requirement engineering (RE) is an initial component of every software development life cycle. The RE process involves elicitation, analysis, specification and verification of requirements. Several stakeholders are involved in the process. Among them, the most important one is the end user. In this research, a comparison of online banking mobile application and online banking website is carried out which is based on the end user survey. Survey was conducted using Online Social Networks (OSNs). Based on the survey, the pros and cons of both mobile application and web-based application will be discussed in the result section. It has been proposed that OSNs are used for elicitation purpose, in order to, involve a large number of end users. In this research, the importance of OSNs has been described in requirement elicitation from end-user perspective.
Introduction

The introductory chapter explains the value of this book and provides a summary of the content. It further explains the reasons for using R as the medium for conducting analysis. The tutorial in the chapter assumes the reader has a base familiarity with the R programming language and demonstrates a few key features and packages that will be used throughout the book. It further explains how the reader can get the most value out of this resource.
Correction

This article refers to:A method of demand-driven and data-centric Web service configuration for flexible business process implementation