Reviewerly/exHarmony huggingface dataset:
Tracking Individual Targets for high Density Crowd Scenes Analysis

In this paper we present a number of methods (manual, semi-automatic and automatic) for tracking individual targets in high density crowd scenes where thousand of people are gathered. The necessary data about the motion of individuals and a lot of other physical information can be extracted from consecutive image sequences in different ways, including optical flow and block motion estimation. One of the famous methods for tracking moving objects is the block matching method. This way to estimate subject motion requires the specification of a comparison window which determines the scale of the estimate.In this work we present a real-time method for pedestrian recognition and tracking in sequences of high resolution images obtained by a stationary (high definition) camera located in different places on the Haram mosque in Mecca. The objective is to estimate pedestrian velocities as a function of the local density.The resulting data of tracking moving pedestrians based on video sequences are presented in the following section. Through the evaluated system the spatio-temporal coordinates of each pedestrian during the Tawaf ritual are established. The pilgrim velocities as function of the local densities in the Mataf area (Haram Mosque Mecca) are illustrated and very precisely documented. Tracking in such places where pedestrian density reaches 7 to 8 Persons/m$^2$ is extremely challenging due to the small numberof pixels on the target, appearance ambiguity resulting from the dense packing, and severe inter-object occlusions. The tracking method which is outlined in this paper overcomes these challenges by using a virtual camera which is matched in position, rotation and focal length to the original camera in such a way that the features of the 3D-model match the feature position of the filmed mosque. In this model an individual feature has to be identified by eye, where contrast is a criterion. We do know that the pilgrims walk on a plane, and after matching the camera we also have the height of the plane in 3D-space from our 3D-model. A point object is placed at the position of a selected pedestrian. During the animation we set multiple animation-keys (approximately every 25 to 50 frames which equals 1 to 2 seconds) for the position, such that the position of the point and the pedestrian overlay nearly at every time.By combining all these variables with the available appearance information, we are able to track individual targets in high density crowds.
Socially Inclined Engagement and Its Effect on CSR Perception Observed In Manufacturing Companies

The manufacturing industry majorly constitutes electrical, electronics, telecommunication, mechanical engineer-ing, and textile companies. This sector provides more employ-ment for the skilled level employee than that of service and in-formation technology sectors. Besides, the manufacturing indus-try significantly contributes to the economy. Hence, the employ-ees working in such companies are expected to be engaged with the goals of the company. A high level of engagement leads to productivity. This study aims to understand the level of socially inclined employee engagement and its impact on the perceived image of the company’s CSR activities. The study uses Partial Least Square – Structural Equation Model (PLS-SEM) to deter-mine the association between employee engagement and CSR activity. The results indicate that there exists a positive associa-tion between engagement level and positive perception of CSR activity. The instrument to measure this association is developed and supported with the evidence from reliability tests and validity test.
Book review

The Mnogovershinnoe epithermal gold-silver deposit is located on the northern part of the East Sikhote-Alin magmatic belt of Northeast Russia. This deposit is related to the intrusion of a large multiphase Paleogene Bekchiul granitoid pluton. The research area underwent several episodes of intrusion magmatism, volcanism and isostatic uplifting because of its location at the junction point of large tectonic structures of Asia. The integration of in situ observations, geological mapping data, analysis of the Landsat 8 images and digital elevation data provides insights into the Meso-Cenozoic evolution of the Bekchiul magmatic center. Events in the Neogene-Quaternary were sufficiently restored by detecting areas with anomalous differences from the base level surfaces for the second- and third-order streams and numerical modeling. The anomalous values of the base levels difference far exceed the amplitude of sea level regression during the Neo-Pleistocene. The proposed methodological approach considered isostatic uplifting and sustaining activity as guiding factors in the development of the Bekchiul volcano-plutonic center.
French language abstracts

Free accessAbstractFirst published online January 14, 2021French language abstractsVolume 27, Issue 1https://doi.org/10.1177/1356389020982798
Sentiment analysis of book reviews using CNN with n-grams method

The fundamental job of sentiment analysis (SA) is to decide the sentiment polarity (positive or negative) of the text. It is a problematic task to take the sentiments in the document level sentences accurately. In the proposed system we developed sentiment analysis of book reviews using CNN with n-grams method by utilising two levels. In the first level, 'grouping of similar tagged words by semantic network' is completed taking pre-processed data utilising parts of speech (POS) Tagger from the datasets of books and reviewers by WuPalmer word similarity technique. In the second level, 'SA' is completed in two stages which are the training phase and testing phase by utilising deep learning approaches like convolutional neural networks (CNN) with n-gram method using document to vector (Doc2Vec) and distributed bag of words (DBOW) embedding. The proposed system 'CNN+Doc2Vec+DBOW+n-gram' divides the book reviews into positive or negative reviews with better accuracy results compared to existing methods.
ACRL Board of Directors’ actions, June 2021: Highlights of the Board’s Annual Conference meetings

For the second year in a row, in lieu of meetings that would have been held face-to-face, the ACRL Board of Directors met virtually on June 23 and June 30. The Board also held a virtual priority setting meeting on June 3 and an informal Board Update on June 10. The Board met with the leaders of the ACRL Equity, Diversity, and Inclusion Committee, as well as its four goal-area committees: Value of Academic Libraries, Student Learning and Information Literacy, Research and Scholarly Environment, and New Roles and Changing Landscapes to assess progress on ACRL’s strategic plan, the Plan for Excellence. With feedback from the Board, these committees will finalize their reports and develop their work plans for 2021–22.
DGGT‐Mitteilungen: geotechnik 2/2019

geotechnikVolume 42, Issue 2 p. 111-114 DGGT-Mitteilungen DGGT-Mitteilungen: geotechnik 2/2019 First published: 19 June 2019 https://doi.org/10.1002/gete.201970205Read 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 Volume42, Issue2June 2019Pages 111-114 RelatedInformation
KESALAHAN BERBAHASA DALAM KARANGAN DESKRIPSI SISWA SEKOLAH DASAR

The aim of this research was to describe the Speak Errors in Desciptive Essay of Fifth Grade Students of Elementary School. The data of this research was Desciptive Essay of Fifth Grade Students SDN Pengangsalan II Kalitengah Lamongan. To collect the data, this research used three techniques, namely : documentation technique, refer technique, and noted technique. The result of this research there are some errors, which include : spelling errors, namely : capital letter usage errors, punctuation usage errors, it consists of dot usage errors and comma usage errors, repetition words writing errors, preposition writing errors, conjunction usage errors, and adverb of cause writing errors. Besides that, there are diction errors namely : synonim words usage error, conjunctive pairs usage error, and task word usage error. There are some sentence structure errors, namely : carelessness of words usage, incoherence, and indiscretion of words usage.
RFI Response: JCORE; Request for Information on the American Research Environment

The National Science and Technology Council's (NSTC's) Joint Committee on the Research Environment (JCORE) is requesting feedback and recommendations on actions that Federal agencies can take to facilitate reproducibility in research, partnerships to build with other stakeholders in order to increase reproducibility, improve awareness and training in this area, incentivize reporting of null research findings, and align efforts with the international research community. Below, is a current assessment of each topic and recommendations for improving research culture in order to meet these goals.
A Review of Multi-objective Evolutionary Algorithms for Information Retrieval System

Information retrieval systems (IRSs) presentation is generally calculated using two special principles, accuracy and analysis.Exactness is the proportion of appropriate documents retrieved by the Information Retrieval System to the overall number of archives retrieved in the context of a client's inquiry; while review is the proportion of the quantity of pertinent reports recovered to the complete number of important reports for the client's question that are present in the narrative database.We present an investigation of two notable broadly useful multi-objective transformative algorithms, Challenges of Multi-objective Evolutionary Algorithms, Applications and Recent improvements in Multi-objective Evolutionary Algorithms all briefly.Further this examination talks about the diverse writing attempts to make the examination.
Network Technopark Based on the Institution of Supplementary Education: Target and Prognostic Aspects

The article is devoted to the study of the idea of creating a network technopark by the forces and means of an institution of supplementary education.The paper analyzes the feasibility of creating, the target elements of the future technopark, the possible risks, as well as the opportunities that will open up in case of successful implementation of the project.The problem that motivated the implementation of the project is the lack of well-established networking in the resort city of Sochi to provide a supplementary education in priority areas of technological development of the Russian Federation.The proposed model of an educational network technopark could successfully combine the educational and leisure-entertainment activities.The goal of the "Network Technopark" project is to create conditions for a network environment of supplementary education in priority areas of technological development of the Russian Federation.To achieve it, it is proposed to solve a number of tasks in the field of educational activities (including those taking into account the joint creative activity of children and their parents and the mentoring work of teachers), the organization of the educational process in a remote form in the areas of popular pre-professional training "JuniorProfi", project and competitive activities, the work of family festivals of technical orientation and inclusive activities.
Analysing professional discourse on Twitter: a mixed methods analysis of the #openeducation hashtag

Professionals and academics now use social networking sites like Twitter for scholarly discourse around resources and networking. Adding hashtags to tweets allows users to connect with previously unknown others around areas of common interest and provides opportunities to examine these connections. This study explored how open education is discussed on Twitter around the #openeducation hashtag through a scalable mixed methods content analysis model useful for the multi-pronged analyse of hashtag discourse. Researchers analysed a convenience sample of 903 tweets using the #openeducation hashtag and grouped the results into themes. Thirty-two themes emerged, which were grouped into eight categories. To extend the research model, a questionnaire developed from the themes was piloted with a subset of active hashtag users. The results provide insight into the major discourse on open education, as well as a scalable means to analyse discourse on Twitter, identify active participants, and probe further about ties people have to a topic of interest.
Eddies and Small-Scale Mixing

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
2. Summary

In this chapter we present a summary of the main contents of this book. According to the Mayfield Handbook of Technical & Scientific Writing (Perelman, Barrett, & Paradis, 1996, 2001), an abstract is “a brief summarizing statement. . . read by parties who are trying to decide whether or not to read the main document.” However, since the main conclusions of each chapter are also included, this chapter can also be read as a summary, “which, unlike an abstract, is a document in miniature that may be read in place of the longer document” (same source). For pictures, tables, and other illustrative material, we refer to the various chapters of this book.
Protecting your IP

This chapter examines the important role of the designer, the protection of any intellectual property. It will examine the methods available to protect an idea.
Analisis Kesesuaian Materi Buku Pedoman Praktikum Histologi Semester 2 2019 Blok 2.3 Neuroendokrin dan Special Sense FK UNS

Practice Guidebook or abbreviated PG is a book that was given from the lecturer to the practicioner, in this case a college student, before they enter the laboratory to do the practice. In Medical School of UNS itself, one of the laboratory that gives this book is Laborator of Histology. Practice Guide Book 2nd Semester Block 2.3 Neuroendocrine and Special Science FK UNS that will be analyzed is written by the lecturer that teach the topic. This book has an important role to help the student to know and understand what will they do in the practice. Besides that too, the existence of this book in Medical School of UNS is used by the student to prepare themselves before the final exam to evaluate their knowledge after the practice. Because of that, the properness and the correctness of the book itself become very important and become the factor that determines the quality of this book.
Server Monitoring

So far, we've been concentrating on managing performance by optimizing application code and database design. In an ideal world, this is where we start our tuning efforts, by optimizing the application we make MongoDB work smarter, not harder. We reduce the amount of effort MongoDB has to do to achieve a task by optimizing our schema, application code, and indexes.
Two redundant rule based algorithms for time-delay nonlinear models: least squares iterative and particle swarm optimisation

Two redundant rule based methods are developed for a time-delay nonlinear model in this paper. By using the redundant rule, the time-delay nonlinear model can be turned into a redundant model which contains some redundant terms. Then the least squares iterative and the particle swarm optimisation algorithms are applied to update the parameters and the corresponding time-delay. Compared with the redundant rule based least squares iterative algorithm, the redundant rule based particle swarm optimisation algorithm is more efficient for nonlinear models with complex structures. A simulation example shows that the proposed algorithms are effective.
Smart Joint Bank Locker Operation using Visual Cryptography

Security has become the foremost vital facet in today’s banking system. As a result, banks are committed to give secured banking services to their customers. Considering the case of a joint bank locker operation, it needs a master key owned by the bank to open the vaults along with the key the customers have. To avoid using the manual operation of keys, a visual cryptographic scheme is proposed to operate the vaults using shares. Visual cryptography (VC) hides the details of the image used as a key by generating shares. Image steganography embeds the shares with a cover image, which ensures secure storage of the shares. A completely secured smart joint bank locker operation using a single share owned by the bank is introduced. The shares generated by the bank for different customers are put together to create a unique share to open all the vaults. The proposed approach guarantees not only absolute security than the traditional locker operation but also helps bank a simplified way of maintaining lockers key.
Semiotics of humor

This chapter discusses the semiotics of humor. Semiotics considers signs of any kind, not just linguistic ones. The distinction between denotative semiotics and connotative semiotics is introduced. Humor is a connotative semiotics and it thus shares some of the features of connotative semiotics, such as the defunctionalization of the sign (i.e., messages are no longer used to communicate, but for ulterior purposes, i.e., to amuse or for play). Bateson’s theory of play is also introduced in this context. This leads to the definition of humor as a message whose perlocutionary goal is to be perceived as humorous (rather than, say, informative). Two significant conclusions are drawn: the mechanisms of humor and are the same in linguistic and non-linguistic communication and the semantic and pragmatic mechanisms of humor are the determining factors of the unique features of humorous communication.
The Relationship of Indonesian Language Learning with Environmental Materials

The environment is one of the most influential components to support the success of students in the teaching and learning process in schools. This is in line with Dirgeyasa's opinion (in Yantama, Ramadhan, and Afnita, 2013) which states that the success and failure of the teaching and learning process is highly dependent on the reality of student input, the teaching and learning process, teacher competence, assessment, and motivation. Ramadhan et.al (2019) said that teachers play an important role in conveying this knowledge to students, because students are the next generation who are tasked with protecting the environment. Environmental education can be integrated into language learning lessons. This integration can be done by using the theme of the environment in text learning. Through the text, students can learn the language and gain environmental knowledge through the content of the text they read.
Multisensor Multi-target Tracking

n a normal multitarget tracking (MTT) situation,the sensor state is either accepted known, or following is acted inthe sensor’s (relative) organize outline. This supposition doesn’thold when the sensor, e.g., a car radar, is mounted on a vehicle,and the objective state ought to be spoken to in a worldwide(outright) organize outline. At that point it is essential to considerthe questionable area of the vehicle on which the sensor ismounted for MTT.In this paper, we present a multisensor low unpredictabilityPoisson multi-Bernoulli MTT channel, which together tracks thequestionable vehicle state and target states. Estimations gatheredby various sensors mounted on different vehicles with shiftingarea vulnerability are fused consecutively dependent on theappearance of new sensor estimations. In doing as such, targetssaw from a sensor mounted on an all around limited vehiclediminish the state vulnerability of other inadequately confinedvehicles, gave that a typical non-void subset of targets is watched.A low multifaceted nature channel is acquired by approximationsof the joint sensor-include state thickness limiting the Kullback-Leibler divergence (KLD).Results from engineered just as test estimation information,gathered in a vehicle driving situation, exhibit the presentationadvantages of joint vehicle-target state following
Abstractive Summarization with NLP Makes Easier to Memorize

Summarization is used to extract most relevant content from a huge content. It can be extractive and abstractive. But different people may have different scope of relevance in different area. Content can be in the form of opinions, news, judgments and ideas etc. Extractive Summarization extracts most focusing content without any change in the original content. Abstractive summarization is a knowledgebase extraction with some modification in original content. In this paper first we discuss various algorithm for abstractive summarization then on the basis of merits of various algorithm discussed in conclusions, we propose a new algorithm for abstractive summarization with the help of NLP to generate shortcuts from the content that make easier to memorize the content. Challenges in Abstractive summarization:  Repetition or duplicity of the content  Arrangement of words  Different people have different meaning for the same content  Number of times a content repeated  Different people have different interest  Nosiness in content  Information diversity Methods for Abstractive summarization: 1. integer linear programming-based summarization framework [3]. 2. Improved Semantic Graph Approach [4]. 3. novel speech act-guided summarization approach [5]. 4. Neural Abstractive Summarization with Diverse Decoding(NASDD) [6]. 5. Supervised and unsupervised approach [7]. 6. Neural network based representation [8]. 7. Integer linear optimization [9]. 8. Maximum L∞-norm and minimum entropy regularization [10]. 9. Opizer-E and Opizer-A [11] 10. LSTM-CNN based ATSDL model [12]. 11. novel concept-level approach [13].
Variational unsampling

A Nature Physics paper reports a hardware-independent variational quantum algorithm that can be used to verify sampling and characterize unknown physical processes.
Preface

The 1 st International Conference on Education and Technology (ICETECH 2019) has been smoothly held in Madiun, East Java, Indonesia and aimed at facilitating researchers, academic scientists and educators in an attempt to share their knowledge and experience in the education and technology. It has brought the theme of “ Emerging Innovative Learning across Disciplines in the Digital Era ”. We are, then proudly to present the first edition of ICETECH 2019 proceedings. The proceedings consist of 61 selected papers that have met the formal requirements of IOP JPCS. Some efforts taken by peer reviewers that have contributed to improve the quality of papers provided constructive comments; improvements and corrections to the authors are gratefully appreciated. We are thankful to all the authors, whose research efforts are herewith recorded and submitted. We also thank the members of the Scientific Committee and the national/international reviewers for their diligent and professional reviewing. Last but not least, we are thankful for the enormous supports of IOP Publishing team. Their supports were not only the strength but also stimulation for us to conduct the next ICETECH more successful. General Chair , Dr. Muhammad Hanif, M.M., M.Pd. The Editors : Bambang Eko Hari Cahyono Lulus Irawati Dahlia Novarianing Asri Erlik Widiyani Styati Marheny Lukitasari Robbi Rahim