Reviewerly/exHarmony huggingface dataset:
Error Diagnosis of Deep Monocular Depth Estimation Models

Estimating depth from a monocular image is an ill-posed problem: when the camera projects a 3D scene onto a 2D plane, depth information is inherently and permanently lost. Nevertheless, recent work has shown impressive results in estimating 3D structure from 2D images using deep learning. In this paper, we put on an introspective hat and analyze state-of-the-art monocular depth estimation models in indoor scenes to understand these models’ limitations and error patterns. To address errors in depth estimation, we introduce a novel Depth Error Detection Network (DEDN) that spatially identifies erroneous depth predictions in the monocular depth estimation models. By experimenting with multiple state-of-the-art monocular indoor depth estimation models on multiple datasets, we show that our proposed depth error detection network can identify a significant number of errors in the predicted depth maps. Our module is flexible and can be readily plugged into any monocular depth prediction network to help diagnose its results. Additionally, we propose a simple yet effective Depth Error Correction Network (DECN) that iteratively corrects errors based on our initial error diagnosis.
LEONID ANDREYEV’S AND PÄR LAGERKVIST’S WORKS IN THE CONTEXT OF EXPRESSIONISM: THE PROBLEM STATEMENT

The article substantiates the classification of the creative methods of Leonid Andreyev (1871-1917) and Pär Lagerkvist (1891-1974) as expressionistic. Expressionism was the leading art and literature direction in the early XX century. The authors trace back the Russian and foreign academic tradition of viewing certain periods of these writers’ creative career as expressionistic. This tradition is based on some of the characteristics present in their works, such as heightened expression, one-dimensional characters, static scenes, grotesque forms, colour contrasts, the depiction of a chaotic world, and a nervous and alienated person within it. The authors come to the conclusion that the expressionist works of Leonid Andreyev and Pär Lagerkvist can be most effectively compared by employing the historical typological method developed by Victor Zhirmunsky.
An FPGA-based Power-saving Particle Filter Using Dynamic Reconfiguration

In this paper, we discuss an FPGA implementation of a power-saving particle filter which can dynamically change the number of particles by making the best use of dynamic reconfigurability of the FPGA. In an object tracking process with a particle filter, it is considered that the tracking can be performed even with a small number of particles when the target object is easy to be tracked. Focusing on this point, we propose to reduce the power consumption of particle filter hardware by changing the number of particles at the circuit level with dynamic reconfiguration depending on the easiness of tracking. As a result of evaluation, it is found that the power consumption can be reduced by about 30% when the number of particles is adjusted using the effective sample size (ESS) as a metric, compared with the case of the fixed number of particles, if the overhead of dynamic reconfiguration is not included.
An Offline Writer-Independent Signature Verification Method with Robustness Against Scalings and Rotations

Handwritten signatures are still one of the most used and accepted methods for user identification and authentication. They are used in a wide range of human daily tasks, including applications from banking to legal processes. The signature verification problem consists of verifying whether a given handwritten signature was generated by a particular person, by comparing it (directly or indirectly) to genuine signatures from that person.In this paper, we introduce a new offline writer-independent signature verification method based on a combination of handcrafted Moving Least-Squares features and features transferred from a convolutional neural network. In our experiments, our method outperforms state-of-the-art techniques on Western-style signatures (CEDAR dataset), while also obtaining good results on South Asian-style handwriting (Bangla and Hindi datasets). Furthermore, we demonstrate that the proposed method is the most robust in relation to differences in scale and rotation of the signature images. We also present a discussion on dataset bias and a small user study, showing that our technique outperforms the expected human accuracy on the signature-verification task.
Helping Children who find Writing Difficult

Children should be taught from the beginning to form letters in the most economical and logical way in order to progress easily to a joined script. In trying to change their own writing style, teachers can gain a small insight into the difficulties children have when trying to re-learn a kinaesthetic skill. Some children have difficulty with sequencing events when telling stories and for them the story needs to be broken down into separate and distinct stages. A visual representation of the sequence helps to reinforce the concept of the logical development necessary in a story. The children can be encouraged to see the need for a format that everyone can easily read and the word processor is ideal for providing as many copies as necessary. Helping children to see themselves as writers can be the most difficult but eventually the most rewarding task for teachers.
PROBLEMS OF BIOMETRIC IDENTIFICATION IN ACCESS SYSTEMS

Handwritten signature recognition is a biometric method that can be used in many aspects of life when it is necessary to use personal signatures, for example, when cashing a check, signing a credit card, authenticating a document, etc. Innovative approaches to solving static signatures that have been introduced into the literature increase every year.
Putri Ajusti Zalmi (19016186) Esai Metlit Bahasa Inggris

The environment has an influence on a person, especially in the use of language. Language is a means of communication acquired by humans from birth. The use of language is closely related to social relations between speakers in the midst of language learning. The learning process is a process of interaction between students and learning resources in a learning environment.
Direction of Essay Writing Education in College Writing

이 연구는 대학 글쓰기에서의 수필 쓰기 교육의 방향성을 제시하는 것을 목적으로 한다. 이를 위해 수필이 국문학과 대학 글쓰기 분야에서 차지하는 위치가 어떠한지를 살펴보았다. 그런 다음, 수필의 장르적 특성을 고려한수필 쓰기 교육 방안을 제시해 보았다. 현재, 국내 출판문화계의 상황을 고려해 본다면, 수필이 차지하는 비중은 결코 적지 않다. 그럼에도 불구하고그동안 국문학 분야에서의 수필에 대한 학술적 연구는 많이 이루어지지 못했다. 이로 인해, 대학 글쓰기 교육에서수필 쓰기가 많이 이루어지고 있지만, 수필의 장르적 특성을 고려한 접근보다는 성찰을 소재로 한 주제적 접근으로만 다루어지는 경우가 많다. 이에 이 연구에서는 대학 글쓰기 교육 안에서 수필의 특성을 고려한 수필 쓰기 교육 방안으로 세 가지를 제시했다. 첫째, 좋은 수필에 대한 깊이 있는 읽기와 감상이 이루어지도록 해야 한다. 둘째, 대화주의적 접근 방식을통해 수필로 쓸 만한 의미 있는 내용을 발견해 보도록 해야 한다. 셋째, 평생필자로서의 성장을 위해 자신의 글을타인과 공유해 볼 수 있는 기회를 갖도록 해야 한다. 이 연구는 수필의 특성을 고려한 수필 쓰기 교육 방향성을제안했다는 점에서 그 의의를 찾을 수 있을 것이다.The purpose of this study is to present the direction of essay writing education in college writing. For this purpose, the position of the essay in the field of Korean literature and college writingwas investigated. Then, this study tried to present an essay writing education plan consideringthe genre characteristics of the essay. Considering the current situation in Korea’s publishing culture, the proportion of essays is notsmall. Nevertheless, there have not been many academic studies on essays in the field of Koreanliterature. For this reason, although a lot of essay writing is done in college writing education, it isoften dealt with only as a thematic approach based on reflection rather than an approachconsidering the genre characteristics of essays. Therefore, in this study, three essay writing education methods were proposed in considerationof the characteristics of essay writing in college writing education. First, in-depth reading andappreciation of good essays should be made. Second, a dialogical approach should be used tofind meaningful content to write in essays. Third, the writer should have the opportunity to shareessay with others in order to grow as a lifelong writer. The significance of this study can befound in that it proposed the direction of essay writing education considering the characteristicsof essays.
Preface

With deep satisfaction, we would like to present the conference proceedings of 2021 2nd International Conference on Applied Physics and Computing (ICAPC 2021) held in Ottawa, Canada during September 8-10, 2021 to the contributors, authors and readers. These proceedings contain a permanent record of what has been presented at the conference. We hope that you will find these proceedings volume inspiring, beneficial and exciting. In light of the prevention and control of COVID-19 and travel restrictions worldwide, ICAPC 2021 adopted the format of virtual conference through network technology to provide a forum for experts and scholars to share real-time information and discuss the latest findings on applied physics and computational science. The conference included keynote speeches and online discussion, and each presenter has 20-25 minutes (including Q&amp;A). List of Committees, General Chairs, Program Chairs, Technical Program Committee Members are available in this pdf.
Algoritma pemrograman

An algorithm is a logical step or sequence in making a decision to solve a problem. Algorithms can be written in many ways, such as using everyday language, flow charts and even using programming languages such as C or C++. And in the algorithm there is also a Flowchart which means an image or graph of the steps that must be followed to make it easier to solve the problem. Programming languages cannot be separated from data types, if/else, arrays because these have an important role for beginners or those who want to know about programming languages. Writing scientific articles can make it easier for readers to know about algorithms and programming languages. Keywords: algorithm, algorithm and programming, programming language, data type, writing algorithm
PRODUKTIVITAS PENULIS ARTIKEL ILMIAH BIDANG ILMU INFORMASI DAN PERPUSTAKAAN PADA JURNAL TERAKREDITASI PERINGKAT SINTA 2, 3 DAN 4 TAHUN 2015-2019

There are 15 scientific journals in the field of Library and Information Science (LIS) accredited and indexed by Science and Technology Index (SINTA). The journals are divided by rating namely SINTA 2 (4 journals), SINTA 3 (4 journals) and SINTA 4 (7 journals). This study aims to determine the productivity pattern of authors in the field of LIS in 2015 - 2019 indexed in SINTA 2, 3 and 4 based on Lotka's rules. The research approach is quantitative with bibliometric analysis. The results show that based on: (1) article published during 2015 – 2019, there were 1,806 authors with a frequency of article writing 1,061; (2) the calculation of the author's productivity pattern, shows the value of n = 0.93062 and the value of C = 0.74864; and (3) the K-S test results show that the Dmax value was greater than the critical value for SINTA 2 and 4, while for the SINTA 3 the Dmax value was smaller (0.0172) than the critical value (0.108).
SPPO: University's disclosure of transcript didn't violate FERPA

Case name: Letter to: Anonymous student (SPPO 11/30/20).
Digital image correlation for sensing kinematic fields in manufacturing processes: a review

Purpose The purpose of the work is to provide a comprehensive review of the digital image correlation (DIC) technique for those who are interested in performing the DIC technique in the area of manufacturing. Design/methodology/approach No methodology was used because the paper is a review article. Findings no fundings. Originality/value Herein, the historical development, main strengths and measurement setup of DIC are introduced. Subsequently, the basic principles of the DIC technique are outlined in detail. The analysis of measurement accuracy associated with experimental factors and correlation algorithms is discussed and some useful recommendations for reducing measurement errors are also offered. Then, the utilization of DIC in different manufacturing fields (e.g. cutting, welding, forming and additive manufacturing) is summarized. Finally, the current challenges and prospects of DIC in intelligent manufacturing are discussed.
Amazon—Bessemer: Take 2

Amazon easily defeated a union drive at its warehouse in Bessemer, Alabama, in 2021. As 2022 begins, it is gearing up for round 2.
Deep Multi-Patch Aggregation Network for Kinship Recognition

Recognizing genetic identities through face images can be used as an implementation of face recognition systems. However, recent developments in face detection have also shown that there is still more to learn from the use of more data and new innovations. Mostly, facial recognition is a good source domain from that we can transfer information to obtain better outcomes for kinship recognition and generate a family tree. In this paper, we address the identification of kinship through face images while considering different patches by using feature extraction methods, immediately labeling pairs in face images to identify the relationships. The proposed method is applied on the dataset Families In the Wild (FIW). Eventually, a group of classification problems with low-level image functions are introduced and estimated. Several state of the art architectures are used considering the multi-patch technique for features extraction. While identifying another very distinct inherited facial features, we successfully demonstrate classification performance of 85.11&#x0025; on a test set using Multi Patch Deep Convolutional Neural Network (MPD-CNN) architecture of image combinations.
Measurement of Adherence Level of Pulmonary Tuberculosis Drugs use in Patients in the Primary Health Centers in Karawang Regency, West Java, Indonesia, using MMAS Instrument

Aims: This study aims to determine the level of drug adherence in patients with pulmonary tuberculosis at the Cilamaya Kulon Primary Health Center area, Karawang Regency, West Java, Indonesia.&#x0D; Study Design: The measurement of adherence level was carried out using the MMAS (Morisky Medication Adherence Scale) instrument.&#x0D; Place and Duration of Study: This study was conducted at Cilamaya Kulon Primary Health Center area, specifically in Bayur Lor and Pasirukem Primary Health Centers, Karawang Regency, West Java, Indonesia, from July to September 2021.&#x0D; Methodology: A cross-sectional design with a purposive sampling data collection method was used. Furthermore, the subjects were pulmonary TB patients from the Bayur Lor and Pasirukem Primary Health Centers, Karawang Regency. The instrument used was the MMAS questionnaire sheet, and data analysis was performed using SPSS (version 22.0) and continued with statistical tests using the chi-square test.&#x0D; Results: The results showed there was no significant relationship (p&gt;0.05) between age, gender, educational status, employment status, income level, smoking status, duration of treatment, drugs side effects, medication supervision, and patient motivation for drugs adherence in the Cilamaya Kulon Primary Health Center area. Furthermore, the level of medication adherence of pulmonary TB patients at this Primary Health Center area was high with a value of 84.13%.&#x0D; Conclusion: Adherence to medication in pulmonary TB patients was not influenced by age, gender, educational status, employment status, income level, smoking status, duration of treatment, drug side effects, medication supervision, and patient motivation. Therefore, the adherence level is included in the high category.
A fully supervised universal adversarial perturbations and the progressive optimization

Universal Adversarial Perturbations(UAPs), which are image-agnostic adversarial perturbations, have been demonstrated to successfully deceive computer vision models. Proposed UAPs in the case of data-dependent, use the internal layers’ activation or the output layer’s decision values as supervision. In this paper, we use both of them to drive the supervised learning of UAP, termed as fully supervised UAP(FS-UAP), and design a progressive optimization strategy to solve the FS-UAP. Specifically, we define an internal layers supervised objective relying on multiple major internal layers’ activation to estimate the deviations of adversarial examples from legitimate examples. We also define an output layer supervised objective relying on the logits of output layer to evaluate attacking degrees. In addition, we use the UAP found by previous stage as the initial solution of the next stage so as to progressively optimize the UAP stage-wise. We use seven networks and ImageNet dataset to evaluate the proposed FS-UAP, and provide an in-depth analysis for the latent factors affecting the performance of universal attacks. The experimental results show that our FS-UAP (i) has powerful capability of cheating CNNs (ii) has superior transfer-ability across models and weak data-dependent (iii) is appropriate for both untarget and target attacks.
Text Synchronization

In this chapter, we are going to have a look at text synchronization capabilities available in the language server protocol. When the user opens a document in the client (editor/IDE), source editing is initiated through the client. Clients are responsible for syncing the source content with the file system or maintaining an in-memory copy. Not all clients automatically sync the source content periodically with the file system. Clients such as Vim keep the up-to-date content in memory, and the user can decide whether to persist the content or discard them (users can install plugins such as vim-auto-save or configure the Vim editor to periodically save buffer on text changes to sync the content). Clients such as VSCode and Eclipse expose configuration options for the user to determine whether to auto-save the content or not.
Assertions

In this chapter, you will learn: what an assertion is in Java, how to use assertions, and howto check the status of an assertion.
A Study on the Preferred Factors of Audio Content Based on Web Novels

2020년 듣는 SNS ‘클럽하우스(Clubhouse)’의 급부상으로 인하여 최근 오디오 기반 콘텐츠에 대한 관심이 높아지고 있다. 그동안 ‘넷플릭스’, ‘유튜브’, ‘틱톡’ 등의 동영상 콘텐츠의 급격한 성장에 비해 대중들에게 소외되었던음성 기반의 콘텐츠들은 ‘애플’, ‘아마존’, ‘구글’ 등과 같은 세계적인 플랫폼 기업들이 오디오 콘텐츠에 적극적으로참여하며 그 시장은 확대되고 있다. 국내 플랫폼 기업인 ‘카카오’는 2021년 7월 음성 기반 소셜미디어 <음(mm)>을 출시하였고 글쓰기 플랫폼인 <브런치>에 라디오를 연계하였다. ‘네이버’ 역시 최근 <나우>, <바이브>, <오디오클립> 등의 조직을 모아 사내 독립 기업인 <튠 CIC>를 설립하고 오디오 시장 공략을 가시화하는 한편, 이미 제공 중이던 <오디오 라이브>, <도슨트>, <오디오 클립> 서비스에 이어 웹툰, 도서, 전시회 등의 기존 시각적인 이미지 중심 콘텐츠에 오디오 콘텐츠를 결합하는 새로운 사업에 적극적으로 뛰어들고 있다. 이러한 오디오 기반 콘텐츠의 성장 배경에는 기존 텍스트 중심의 원천 콘텐츠가 중심적인 역할을 하고 있다. 현재 서비스되고 있는 네이버 오디오 클립의 랭킹에 올라와 있는 채널들을 분석한 결과 대다수의 인기 오디오 채널들은 웹 소설을 기반으로제작되고 있음을 확인할 수 있었다. 본 연구에서는 기존 웹 소설을 기반으로 한 오디오 채널의 선호 요인을 확인하기 위하여 설문조사와 AHP 분석을 진행하였다. 분석 결과 웹 소설을 기반으로 한 오디오 채널의 주요 선호 요인은 원천 콘텐츠인 웹 소설에서는 느낄 수 없는 전문 성우들을 통한 극의 몰입감과 현장감 그리고 ‘멀티태스킹(Multitasking)’에 있어 시각적인 콘텐츠 보다 높은 집중도를 바탕으로 원천 콘텐츠와의 상호 시너지 효과 때문이다. 즉, 오디오 콘텐츠의 미디어적 특성과 기존의 시각 위주로 구성된 원천 콘텐츠에 집중하여 즐길 수 없었던 사용자들에게 일상생활을 방해받지 않으면서도 사용자가 원하는 형태로, 원하는 시간에, 원하는 장소에서 콘텐츠를즐길 수 있는 ‘트랜스미디어 스토리텔링(Transmedia storytelling)’ 요소를 통해 콘텐츠가 확장되었기 때문이다.Interest in audio-based content has recently increased due to the rapid rise of SNS “Clubhouse”to be heard in 2020. Voice-based content, which has been alienated from the public comparedto the rapid growth of video content such as Netflix, YouTube, and TikTok, is expanding asworld-class platform companies such as Apple, Amazon, and Google actively participate in audiocontent. Kakao, a domestic platform company, launched voice-based social media <MM> in July2021 and linked the radio to the writing platform <Brunch>. Naver is also actively engaged in anew business that combines audio content with existing visual image-oriented content such aswebtoons, books, and exhibitions, following the already provided audio live, docent, and audioclip services, while establishing an in-house independent company, Tune CIC. In the backgroundof the growth of audio-based content, existing text-oriented source content plays a central role. As a result of analyzing the channels listed on the ranking of Naver audio clips currently inservice, it was confirmed that most of the popular audio channels were produced based on webnovels. In this study, a survey and AHP analysis were conducted to identify the preferred factorsof audio channels based on existing web novels. As a result of the analysis, the main preferredfactors of audio channels based on web novels are the immersion and realism of the play throughprofessional voice actors who cannot be felt in web novels, and mutual synergy with the originalcontent based on higher concentration than visual content. In other words, the content has beenexpanded through the “Transmedia storytelling” element, which allows users to enjoy content inthe form, time, and place they want without being disturbed by their daily lives.
A Technology Based Program That Matches Enrichment Resources With Student Strengths22

This chapter describes the program that was originally marketed by UConn R and D under the title “the Renzulli Learning System.” The system was subsequently sold by UConn to Compass Learning Corporation and is marketed under the name of GoQuest. Every teacher has had the satisfaction of seeing a child “turn on” to a topic or school experience that demonstrates the true joy and excitement of both learning and teaching. The Renzulli Learning System might best be viewed as the next generation of applying instructional technology to the learning process. A special feature of Renzulli Learning is a project organization and management plan for students and teachers called The Wizard Project Maker. The Renzulli Learning System is designed to be an aid to busy teachers who seek the tools for effective differentiation as they go about the process of dealing with a broad range of individual differences, diverse student needs, and increased pressures to improve student achievement.
Grayscale Image Authentication with Data Repair Capability

The technique of image authentication has become increasingly popular in recent years. The digital revolution in image processing has made it feasible to quickly and easily create, manipulate, and transport digital images. Therefore most of the vital photos such as military, Medical, Companies secret data must be protected against alteration. So to safeguard originality and validity of multimedia images and essential scanned documents many authentication methods are evolved. The usage of portable network graphics (PNG) images with bitplane slicing method in this study provides an image authentication scheme with data repair capability. Experiments indicate that the authentication system can withstand and repair original data in the face of various attacks. It also demonstrates the work’s effectiveness.
Detection of Fraudster Credit Card Transaction Using Predictive Model

This paper discusses about what is unsupervised and supervised learning in data science and the various models used to predict the fraudster detection of credit card transaction. Further, it discusses about the major parameters that should be considered while fitting the models and finding the important variables that play a major role in the given dataset. The paper mentions various methods that can be used to solve the given problem. The paper concludes by discussing about the logistic regression model used to predict the transactions along with the success rate achieved in comparing with the test dataset.