Reviewerly/exHarmony huggingface dataset:
The Fushimi Inari Experience: An Interactive Volumetric Film

As we move further into a spatial future, the demand for content creation tools is immense. Social media, gaming platforms and e-commerce have been converging into interactive spaces that involve spatial representations of the world the viewer is occupying, including digital humans. Creating digital representations of humans, or holograms, can be achieved through volumetric capture technologies. This method of bringing people to virtual three-dimensional environments has been rapidly increasing in popularity, but still lacks a key element: interactivity. In this paper we describe our work on producing interactive volumetric video that responds to viewers’ actions in real-time. We present the Fushimi Inari project: a commercial use case pushing the boundaries of what can be achieved with volumetric video and describe how our spatial content creation tools allow for interactive films to be created. Our contributions include blending volumetric clips, skeletonizing captures and applying multi-bone retargeting. We also provide means to integrate this in game engines for real-time photorealistic and interactive stories to be enjoyed by any viewer.
Perceptual Learning, Perceptual Anticipation, Perceptual Imagining

Chapter 18 explains the notions of perceptual learning, perceptual anticipation, and perceptual imagining. Various types of perceptual learning are distinguished. The power and primitivity of the mechanisms are highlighted. Generic non-representational anticipation differs from perceptual-level anticipatory representation. Relations to priming and memory are outlined. Perceptual-level anticipatory representation is sharply distinguished from prediction, fore-knowledge, and other higher-level capacities. The discussion outlines the form and roles of perceptual-level anticipatory representation in perception and action; it stresses the primitiveness of such anticipatory representation. Empirical evidence suggests that perceptual-level anticipatory representation occurs in all actual perceivers, from humans to lions to insects, in motion tracking and in saccades. Conditions for successful reference to future entities are outlined. Doubts are entered about predictive coding accounts. A perceptual-level type of imagining is delineated. Such a level is present even in the famous rotation-of-mental-image capacities.
End-to-End Smart Legal Contracts

This chapter presents a number of questions that frame the present volume. It asks how ‘smart’ contracts (broadly defined) might move from technologically feasible aspiration to legal and commercial reality. It suggests that a firm legal (particularly private law) foundation is needed for smart contracts before regulation is considered. Uses for ‘end-to-end’ smart contracts without cryptoassets should be considered, suggesting the importance of encoded contracts outside of distributed ledger systems. A streamlined built-in dispute resolution system would give investors and mainstream markets the confidence needed to allow the use of smart contracts to grow. Lawyers need to make a persuasive case so that they and coders can come together to develop the potential that smart contracts offer to the economies and financial communities of the future.
Introduction

The introduction provides an overview of the bounding puzzles that will orient our discussion about conditionals, as well as offering a brief summary of the three parts of the book (Framework, Probabilities, Indicative/Subjunctive).
Email Spam Detection Using Multilayer Perceptron Algorithm in Deep Learning Model

Email spam detection is a filtering process which identifies either it is spam or not. It also removes the unsolicited data present in the user’s email inbox. Certain type of spam mails contains malware which misuse the users’ data. Hence, we need to identify spam mails and take necessary actions. Many machine learning algorithms have proposed for differentiate spam mails from normal mails. Tokenization of emails between length and frequency is one of the techniques. It helps to split the raw emails into tokens known as small words. After tokenization, tokenized count has taken into consideration for process the emails. Based on that spam emails to be identified which are present in the dataset of spam and ham emails. To extracting these features, term frequency—inverse document frequency (TF-IDF) has used to train the model. In this method, multilayer perceptron deep learning algorithm is applied to compute the model. It has two layers. When input is given to the perceptron, the input is multiplied by the hidden layers, and it holds the activation function such as sigmoid activation with regularization function. For the better optimization, the model uses the Adam optimizer with gradient descent for fastest optimization. The network learns the model. The learning rate is set to true. While computing the model, it goes in the forward direction to train the model and comeback again (backpropagation). This process will be repeated. Going to the forward direction and comes back, then again, maintaining forward approach is called one epoch. The epoch rate has computed in the model. In the comparison between multilayer perceptron algorithm and machine learning algorithms such as support vector machine (SVM), random forest, and XGBoost, the deep learning algorithm produces 99% of accuracy on precision, recall, and F-measure and holds less computation time. Hence, the results prove that deep learning algorithm performs better than machine learning algorithms.
A Study on the Risk and Profit Determination of Real Estate PF Participants in the Trust Company's Responsibility Completion Type

In the real estate development project, numerous stakeholders such as implementers, construction companies, trust companies, and financial institutions participate. Real estate PF is highly dependent on construction companies. As a result, in the case of small and medium-sized real estate development projects, PF loans were inevitably shrunk as it was practically difficult to select construction companies with high credit ratings and contraction rankings. However, with the recent expansion of the trust business, the trust company replaced the construction company's role, and the existing real estate PF structure has also expanded to areas where real estate PF loans are possible. Through empirical analysis, this study was able to analyze the risk factors recognized by participants when PF loans were implemented and confirm the characteristics of participants. As a result of the study, it was confirmed that the risk recognition factors of financial institutions that relied on existing contractors were transferred to trust companies. In addition, it was confirmed that the tendency to recognize risk also appeared differently for each participant.
ScenaProd: creating interactive medias without programming

This demonstration aims at presenting ScenaProd, a tool that allows people to produce multisensory scenagrams (multisensory exercises or interactive media). All participants can create their own scenagrams with that tool or test a more complete one that is already created. A scenagram can be defined as an interaction between a human being and different devices. For example, a robot asks a question while displaying a visual clue on a screen. Then, the participant can respond by pressing a large and colored contactor. In case of a correct answer, the robot would play a short victory song and a light would light up green. If a wrong answer were given, the system would have a different reaction.
Forensic view on two Raspberry Shake burglargrams

A steadily increasing number of citizen seismological stations, often located in populated areas, record a plethora of man-made events. These events are especially of interest, when they are caused by criminal activity or man-made explosions. On 4 December 2021, during an attempted robbery of an automated teller machine (ATM) in Bonn-Röttgen, Germany, the burglars used explosions. The seismic effects of the explosions were recorded with a Raspberry Shake (RS) station at a distance of 580 m from the site. While working on the analysis of this signal, another attack on an ATM on 23 February 2022 in Kürten-Dürscheid was recorded by another RS station, this time at 830-m distance with an instrument that also included an air pressure channel. The seismic signatures of both events indicate similar procedures in both cases whereby a larger explosion was quickly followed a smaller explosion after 21 s and 49 s, respectively. An estimate of the charge weight of the explosions shows that ratios of the strength of the first to second explosion were 21:1 and 9.4:1 in the Röttgen and Dürscheid attacks, respectively.
Analysis of Online Community Data on Industrial Engineering

This study aims to analyze the perception of the public on industrial engineering with respect to the recent changes driven by the 4th Industrial Revolution. First, we collected posts and comments related to industrial engineering in online communities from 2019 to 2021. We found out keywords and areas of interest through keyword analysis based on the collected data and then clustered the main and sub groups through network-based clustering. Based on the main and sub groups, we studied sentiment polarity and trends during 2019 - 2021 through sentiment analysis and topic modeling. The results of this study can be used as a tool for setting the direction of industrial engineering education, such as curriculum composition and promotion strategies.
Automatic Coin Counter and Sorter—Design Thinking Approach for Prototyping

Coin sorting and counting are intensive labor works in countries like India where there is huge flow of coins. In this chapter, an automatic sorting and measuring machine has been discussed that is mainly used for sorting, counting, and packaging a variety of coins. The problem is approached through the systematic steps of design thinking method. The solution of the problem falls in the accomplishment of sustainable development goal 9 which should addressing industry, innovation and infrastructure. The motivation for the work is gained from the stakeholders working in temples, running a small business, etc. From the survey undertaken, the stakeholders confirmed the need of coin sorting and counting machine. In this work, a low-cost solution is proposed after the evaluation of various designs. Thus, prototype is developed using design thinking approach. In the paper, an automatic sorting and measuring machine has been designed and mainly used for sorting, counting, packaging to a variety of coin. The coins are passed through an arrow channel, with holes of different sizes in it. Below the trey of collection of different coins, a vibrator is used which gives a thrust to the pile of coins, and they pass through then arrow channel and fall into different collector boxes. At the bottom of each collector box, an IR sensor is fixed. All these IR sensors are interfaced with Arduino Nano development board along with LCD display. When each coin falls in the collector box, it obstructs the IR rays for a short time. That particular IR sensor sends signal to Arduino Nano, and the count of particular value changes by the currency value of that coin.
Form and Semantics of Representational Contents of Perceptual States

Chapter 6 begins to fill in the idealized, over-simplified form of representation by perceptual states that was presented in Chapter 2. It is argued that individuals always perceive property-instances or tropes, not just individuals that instantiate kinds. A consequence of this point is that there are four types of attribution of properties and kinds. Perceptual attribution of relations is embedded into these four types of attribution. The notion of scope in perceptual representation is introduced. Scope bears on determining the relational or non-relational representation of an entity (<underline>edge</underline> versus <underline>edge of</underline>). Absence of logical constants from perceptual contents is grounded and explained. The chapter develops differences between perceptual representational contents and the sorts of noun phrases with which they share a basic structure.
The dimension Dind of finite topological <i>T</i> <sub>0</sub>-spaces

Abstract A. V. Arhangelskii introduced the dimension Dind and properties of this dimension have been studied for various classes of topological spaces. In this paper, we study this dimension for finite T 0 -spaces. Especially, we prove that in the realm of finite T 0 -spaces, Dind is less than or equal to the small inductive dimension ind, the large inductive dimension Ind and the covering dimension dim. We also study the “gaps” between Dind and the dimensions ind, Ind and dim, presenting various examples which shows these “gaps”. Moreover, in this field of spaces, we give characterizations of Dind, inserting the meaning of the maximal family of pairwise disjoint open sets, and study properties of this dimension.
Research for Strengthening the Competitiveness of Industrial Engineering: Industrial Survey Responses

This work analyzes industrial survey responses conducted for strengthening the competitiveness of Industrial Engineering. The survey consists of major satisfaction, job competitiveness, employment competitiveness, startup competitiveness, and strengthening the status of Industrial Engineering. The survey has been conducted from Dec. 2021 to Jan. 2022, and a total of 100 people responded to it. There was a perception that Industrial Engineering was recognized as a required major for the future and that it was competitive in the era of the Industry 4.0. However, there were also some concerns that it was hard to learn core skills compared to other majors. We provide suggestions based on the survey responses to improve the competitiveness of Industrial Engineering to universities and institutes.
Analysis of Generation Loss for Wavelet-Based Compression

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">This article investigates the sources of generation loss, the loss of picture quality over multiple coding generations, for waveletbased mezzanine video compression using the VC-2 video codec. The theoretical mechanisms of generation loss are presented, highlighting the detrimental interaction between quantization in the encoder and otherwise reversible processes in the decoder. A novel experimental investigation of the VC-2 video codec is presented, in which the significance of different sources of generation loss are compared and the parameters that impact the propagation of generation loss are contrasted. The most significant source of generation loss examined in this article is the addition of an “accuracy bit shift,” which improves subjective quality for a single coding generation but causes losses over subsequent generations. Of those investigated, the most significant way to mitigate the propagation of generation loss is to decrease the wavelet transform depth. This article concludes that, through careful parameter selection and signal processing design, generation loss for wavelet-based mezzanine codecs may be practically eliminated</i> .
On the advantages of traditional forms of teaching professional disciplines in the subject area “Embedded Systems”

The article examines the features of the educational process in the subject area “Embedded systems” for contact and distance learning, identifies the main limitations, compares the indicators of the results of mastering the programs of special disciplines.
Scientific Practice: Problem of Advocacy

Objectivity underlies all of the criteria for complying with the scientific method. Only an objective description of an objective study and its findings can be considered scientific. Yet objectivity does not come naturally, and so scientists must struggle to overcome a tendency to advocate for subjectively preferred hypotheses when they practice science.
‘Hypothesis Non-fingo 1713’ Resolved with ‘Gill’s Electronic Theory of Magnetism 1964’

Applying Gill’s electronic theory of magnetism 1964 to planet Earth and relating it to the electron dependant negative force &nbsp;and the proton dependant positive force of atoms of any object close to the surface of the Earth, it will be explained mathematically how objects close to the Earth fall towards the Earth with a combination of these two forces. In the northern and southern magnetic hemispheres of the Earth, equations based on known physics laws are offered for objects falling towards the Earth. Dot-product vector equations will explain why a pendulum will accelerate least at the equator and this lateral acceleration keeps on increasing as we move the same pendulum from the equator towards the magnetic poles of the Earth as has been seen experimentally. As the object gains height above the surface of the Earth, the two negative and positive extra-terrestrial forces become effective and &nbsp;starts losing weight with increasing height. At a certain greater height above the Earth where the two negative and positive forces from the Earth balance with the two negative and positive extra-terrestrial forces, the object &nbsp;will start behaving as a satellite. The bigger object &nbsp;will become a satellite at a greater height. A brief discussion at the end on why this presentation is more accurate as compared to Sir Isaac Newton’s universal law of gravitation which resulted in the incorrect third force concept of gravity in 1687 in Physics. As the asymmetry between the magnetic force and the electrical forces is resolved with Gill’s electronic theory of magnetism 1964, Albert Einstein’s ‘Special Relativity theory 1905’ which was presented to deal with the asymmetry issue becomes unnecessary along with his ‘General Relativity theory 1916’ where he tries to justify the gravitational force.
Design Thinking to Mobile App Development

Design Thinking plays a vital role in Mobile App Development as it provides an analytical and visualized thought process for designing mobile Apps. In this chapter, a detailed need of design thinking, the perspective of customer needs, design specifications for Apps, applied creativity, prototyping of Apps, App architectures, and process of App design thinking are discussed in detail.
Case—Analysis of Call Center Data at Patelco Credit Union

Open AccessOpen Access licenseAboutSectionsView PDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InEmail Go to SectionOpen AccessOpen Access license HomeINFORMS Transactions on EducationAhead of Print Case—Analysis of Call Center Data at Patelco Credit UnionNarendra Agrawal Narendra Agrawal Published Online:23 Jun 2022https://doi.org/10.1287/ited.2022.0272cs Previous Back to Top Next FiguresReferencesRelatedInformation Articles In Advance Article Information Metrics Information Received:July 10, 2020Accepted:March 21, 2022Published Online:June 23, 2022 Copyright © 2022 The Author(s)Cite asNarendra Agrawal (2022) Case—Analysis of Call Center Data at Patelco Credit Union. INFORMS Transactions on Education 0(0). https://doi.org/10.1287/ited.2022.0272cs Keywordscasesteaching statisticsteaching service operations managementteaching production/operations managementteaching supply chain managementbanking industrycall centersPDF download
These Are Not the Droids You’re Looking For

Quantum computing has the potential to break cryptographic protocols that underwrite the security of almost every digital application today. Fortunately, there are at least two reasons quantum computing does not mean the end of cybersecurity as we know it. First, a new generation of quantum-safe cryptographic protocols will probably be available and implemented well before engineers can overcome all the challenges of fielding a large-scale quantum computer. Second, even if a quantum computer becomes available before quantum-safe offsets are in place, intelligence advantage ultimately depends more on social and organizational factors than technology alone. This chapter provides a brief introduction to the quantum threat to modern cryptography, the quantum-safe alternatives that mitigate the threat, and the social context that complicates both offense and defense in intelligence contests.
Mobile Application to Digitalize Education Volunteer Process

Sharing knowledge has always been a complicated task from long ago, but the emergence of smartphones has made the task easier and more flexible. There are still many places that do not move with time, and hence, people can only learn limited knowledge with the limited workforce. Many educated people have come forward in improving these areas through various means such as NGOs and student volunteers. But there is no proper mode of communication between school management and the people who are interested in helping them. A mobile app is one possible solution to this problem. It connects schools, students, and student volunteers, making the communication between them simpler. Many features like slot booking, nearest school location details, chatting service, etc., are possible to incorporate inside the mobile app. This can be implemented by using Java programming language, Android Studio, and Firebase which is used to develop mobile applications. The final result is making these educational places have an efficient workforce, introducing newer ways to learn and education for everyone.
Sequence Semantics

This chapter provides a formal setting for the Domain Inferentialist theory motivated in Chapter 3. Drawing on the formal theories developed by van Fraassen, Stalnaker, and McGee, it is shown how to formally model the inferential dispositional contents of conditionals using a semantics that defines sentential truth relative to a sequence of possible worlds. We then see how the resulting theory formally implements and elucidates the main results of Chapter 3.
Multi-scale Aerial Object Detection Using Feature Pyramid Networks

Aerial object detection on an UAV or embedded vision platform requires accurate detection of objects with various spatial scales and has numerous applications in surveillance, traffic monitoring, search, and rescue, etc. The task of small-object detection becomes harder while using standard convolutional neural network architectures due to the reduction in spatial resolution. This work evaluates the effectiveness of using feature pyramid hierarchies with the Faster R-CNN algorithm for aerial object detection. The VisDrone aerial object detection dataset with ten object classes has been utilized to develop a Faster R-CNN ResNet model with C4 and FPN architectures to compare the performance. Significant improvement in the performance obtained by using feature pyramid networks for all object categories highlights their importance in the multi-scale aerial object detection task.
Automatic Tests Correction System in Education

Of great importance in the educational process, exams based on single or multiple choise tests, both online and offline, nowadays are becoming more widespread, offering a high efficiency in the process of assessing the knowledge of pupils and students, as well as in the process of correcting tests. In order to meet the growing demands of having an easy-to-use tool for creating and correcting exam tests, the author designed an automatic tests correction system based on optical character recognition and an original response detection algorithm.The presented system offers multiple facilities such as: easy construction of questions sets (quizzes); generating different variants of sets starting from a source set; automatic generation and printing of exam sets and questionnaires; automatic correction of answer sheets; the possibility of manual verification of any corrected test; displaying the results in the application graphical interface, along with the exam statistics.