Reviewerly/exHarmony huggingface dataset:
Sparse Sampling for Appearance Acquisition

Author(s): Xu, Zexiang | Advisor(s): Ramamoorthi, Ravi | Abstract: Modeling the appearance of real scenes from captured images is one key problem in computer graphics and computer vision. This traditionally requires a large number of input samples (e.g. images, light-view directions, depth hypotheses, etc.) and consumes extensive computational resources. In this dissertation, we aim to make scene acquisition more efficient and practical, and we present several approaches that successfully reduce the required number of samples in various appearance acquisition problems. We exploit techniques to explicitly reconstruct the geometry and materials in a real scene; the two components essentially determine the scene appearance. On the geometry side, we introduce a novel deep multi-view stereo technique that can reconstruct high-quality scene geometry from a sparse set of sampling depth hypotheses. We leverage uncertainty estimation in a multi-stage cascaded network, which reconstructs highly accurate and highly complete geometry with low costs in a coarse-to-fine framework. On the material side, the reflectance of a real material is traditionally measured by tens and even hundreds of captured images. We present a novel reflectance acquisition technique that can reconstruct high-fidelity real materials from only two near-field images. Moreover, we exploit image-based acquisition techniques that bypass explicit scene reconstruction and focus on realistic image synthesis under new conditions. We first present a novel deep neural network for image-based relighting. Our network simultaneously learns optimized input lighting directions and a relighting function. Our approach can produce photo-realistic relighting results under novel environment maps from only five images captured under five optimized directional lights. We also study the problem of view synthesis for real objects under controlled lighting, which classically requires dense input views with small baselines. We propose a novel deep learning based view synthesis technique that can synthesize photo-realistic images from novel views across six widely-spaced input views. Our network leverages visibility-aware attention information to effectively aggregate multi-view appearance. We also show that our view synthesis technique can be combined with our relighting technique to achieve novel-view relighting from sparse light-view samples.
So, What’s Next?

In this book, we reported the findings on a broad range of topics, ranging from Internet of Things (IoT) malware analysis to IoT testbed setup to malware analysis (e.g. ransomware) to CCTV forensics to financial investigations (e.g. PayPal accounts and Bitcoins), cloud forensics to network and ToR forensics, which were carried out mainly by students enrolled in the MSc in Forensic Computing and Cybercrime Investigation program at University College Dublin, Ireland. These students are also employed in law enforcement and government agencies in Canada, Ireland, Germany, The Netherlands, and United Kingdom.
LibGuides: Cataloging Legal Literature: Division of Title

Cataloging Legal Literature, 5th Edition, describes the authors' understanding of current descriptive subject cataloging and classification practices for legal materials.
Indonesian EFL students' strategies in dealing with speaking anxiety in public speaking course

Public Speaking is one of the courses learned by the students at universities. In this pilot study, the purpose was to investigate the students strategies in coping with anxiety in English Public Speaking course. Participants of the study were two junior students of English Education Department of Universitas Muhammadiyah Aceh, Banda Aceh in Aceh Province, Indonesia. The study purposively selected them based on their gender and class engagement in the Public Speaking course in 2019/2020 academic year. The study used the qualitative method, with interview to collect the data. Findings showed that the students applied several strategies to deal with their speech anxiety, including having adequate preparation and practice and using hand and body movements when delivering a speech. This study recommends that teachers promote such strategies to other EFL students so that they can overcome their fear of public speaking.
No Reservations: A First Look at Amazon's Reserved Instance Marketplace

Cloud users can significantly reduce their cost (by up to 60\%) by reserving virtual machines (VMs) for long periods (1 or 3 years) rather than acquiring them on demand. Unfortunately, reserving VMs exposes users to \emph{demand risk} that can increase cost if their expected future demand does not materialize. Since accurately forecasting demand over long periods is challenging, users often limit their use of reserved VMs. To mitigate demand risk, Amazon operates a Reserved Instance Marketplace (RIM) where users may publicly list the remaining time on their VM reservations for sale at a price they set. The RIM enables users to limit demand risk by either selling VM reservations if their demand changes, or purchasing variable- and shorter-term VM reservations that better match their demand forecast horizon. Clearly, the RIM's potential to mitigate demand risk is a function of its price characteristics. However, to the best of our knowledge, historical RIM prices have neither been made publicly available nor analyzed. To address the problem, we have been monitoring and archiving RIM prices for 1.75 years across all 69 availability zones and 22 regions in Amazon's Elastic Compute Cloud (EC2). This paper provides a first look at this data and its implications for cost-effectively provisioning cloud infrastructure.
Chinese and English Readings of Embedded Anomalies in Written Texts

Reading isn’t simply recognizing words in succession. Something propels you forward as you read, helps you to anticipate so well what’s coming that you simply use cues from the print to move constantly toward meaning. This chapter addresses concepts of universality in the reading process, specifically whether a range of English-speaking readers and Chinese-speaking readers display similar reading processes when negotiating a text with multiple types of embedded errors. Gollasch and Xu asked university students and junior high school students to read a short story with embedded errors. Gollasch conducted his study using an English text adapted from the original “The Boat in the Basement.” Xu replicated Gollasch’s study using a Chinese text. Both studies (Gollasch, 1980; Xu, 1998) indicate that the error detection order is similar across all groups in Chinese and in English.
A Model of Universal Manual Design for Technical Products

Unlike consumer technologies and electronics that have advanced and become more affordable and intuitive to use, the supplied user manuals are still using the old-fashioned book-like design. There ...
Kinect-Based Outdoor Navigation for the Visually Challenged Using Deep Learning

In this paper, we propose an outdoor navigation system, intended for people with visual impairments. Our system makes use of a Microsoft Kinect which is reconfigured for mobile use with a portable power supply. An object detection model was trained to detect commonly found obstacles on roads, namely cars, pedestrians, bicycles and motorcycles, based on the inputs from the Kinect. In the process, we select an optimal object detection model for an embedded environment by carrying out extensive training, benchmarking and experimentation on three single shot detection models (SSD) with different feature extractors and a RetinaNet model, while also applying quantization techniques to obtain real-time performance with relatively minor losses in performance. The detections from the network are leveraged to calculate the distance between the person and the object detected, using the depth map from the Kinect, and the information is relayed to the user using a text-to-speech system, through Bluetooth earphones paired to the system. The entire setup is constructed on a white cane, where a Raspberry Pi 3B is connected to the Kinect for reading the input frames and performing onboard processing. The results of testing the model in outdoor footage indicate its viability as a tool for outdoor navigation.
The Implementation of Social Interactive Writing for English Language Learners (SWELL) Method in Teaching Writing of Narrative Text at Tenth Grade Students of SMA As-Shomadiyah Bangkalan

The study conducted in SMA AS-Shomadiyah Bangkalan because the researcher found out that the students of SMA AS-Shomadiyah Bangkalan have several problems in teaching-learning English, especially in Narrative Text. They have difficulty to understand texts and the generic structure of Narrative Text and also in the changing of past participle especially the irregular verb. These problems are caused by several factors. First, they have difficulties in understanding the Narrative Text and they also have lack of vocabulary of past participle verb especially the irregular verbs, so they still find it difficult to write Narrative Texts. Second, the students do not seem to enjoy English writing lesson because the teacher just asks students to do the exercise based on the text book. It makes students bored and exhausted. In this study, the teacher used SWELL (Social-Interactive Writing for English Language Learners) method as the alternative method in teaching writing. The objective of this study is to know the implementation of SWELL in teaching writing narrative text at tenth grades students of SMA AS-Shomadiyah Bangkalan and to find out the students responses in the implementation of SWELL in teaching writing narrative text at tenth grades students of SMA AS-Shomadiyah Bangkalan. The design of this study is a descriptive qualitative design. The instruments used in this study consist of observation checklist and interview. Finally, after implementation of SWELL the researcher believe the student's writing ability of tenth grades students of SMA AS-Shomadiyah Bangkalan can be better. They interest to write and explore their ability well.n
LibGuides: Library / Open Access Database Tools and Tips: Streaming Media Tools and Access

Most databases have common elements which help streamline your research and save time. This How-To guide shares tools and tips for using the library databases at ACC. Learn about streaming media tools and resources for educational screenings of documentaries
Speeding things up

Chapter 10 details how to make Python code faster, using different types of caching and for which situations they are an appropriate choice. It covers benchmarking individual Python functions in your applications and how to interpret the results to find the reasons for slowdown.
Writing Skills Text Report Observation Results At XI Grade Students At SMA Negeri 2 Tondano

The objectives to be achieved in this study are: (1) To describe the learning steps of the communicative approach in writing descriptive text of the report on the observations of class XI students of SMA Negeri 2 Tondano; (2) To describe the writing skills of the description text of the observation report of the XI grade students of SMA Negeri 2 Tondano by using a communicative approach. The method used is action research according to its type. The subjects of this study were students of grade XI in SMA Negeri 2 Tondano. The source of the data is 20 students and teachers. To collect data the techniques used are tests and observations. Acting in two rounds, the results showed that, in the implementation of the first round of Class XI Language Skills of SMA Negeri 2 Tondano in Writing Text Description of Observation Reports using the communicative approach was still in the range of percentage values of 66.20%, categorized as less able. Based on the unsatisfactory results, the second round was carried out, and the results were in the successful category because they were in the able range of 84.40%. These results indicate that the use of a communicative approach in learning to write descriptive text of the observation report has an impact or can improve the skills of 20 high school students of SMA Negeri 2 Tondano Keywords: Writing skills; report text; observation results.
Correctness enhancement: a pervasive software engineering paradigm

Refinement-based correctness-preserving transformations are considered as the gold standard of program transformations. While we do not dispute the merits of transforming programs in a way that preserves their correctness, we argue that the vast majority of software engineering processes are in fact instances of correctness enhancement rather than correctness preservation. In this paper, we discuss mathematics of correctness enhancement, i.e., the process of making a program more correct than it is with respect to a specification; then we highlight in what way and to what extent correctness enhancement pervades the practice of software engineering.
Architecture of Convolutional Neural Networks

Neural network is a field which comes under a broader field called Machine learning. Neuralnetworks are of different types and these are used for different purposes. Convolutional Neural network is acategory of neural networks which is used to play with images. CNN basically deals with image inputs. CNN isbuildup of several combinations of convolutional layers and pooling layers. Each of these convolutional layersperform the function of narrowing down the feature groups. When the real time images of images under test arepassed on multiple times in a convolutional neural network, then CNN learns a pattern in each image and storesthe features which define that object clearly. Real time object detection is successful these days only because ofthe existence of convolutional neural networks. Connectivity of neurons in a human brain directly relates to theconnectivity of layers in a convolutional neural network. CNN is widely used in action recognition, imageclassification, analysis of a document, human pose estimation and scene labelling.
Digital Product Innovation in Emerging Economies: Examining the Roles of Institutional Change Speed

Recently firms in emerging economies have been actively engaged in digital product innovation. Given the economic importance of this nascent sector, there have been frequent shifts in the related regulatory and policy environment, which are having a considerable impact on firms in emerging economies. In examining this important phenomenon, our study builds upon a dynamic institution-based view to investigate how the speed of institutional change affects digital product innovation. We argue that firms tend to reduce digital product innovations when encountering fast institutional changes. Using a sample of 1,533 firms from 20 major emerging economies in the mobile app industry, our empirical results provide support for our main hypothesis. We also argue and find that different diversification strategies may limit or amplify the effect of institutional change speed on digital product innovation, given the implications of diversification for how firms navigate through the changing institutional environment. This study offers important contributions for understanding this timely and prominent innovation phenomenon in emerging economies.
Tigrinya Automatic Speech recognition with Morpheme based recognition units

The Tigrinya language is agglutinative and has a large number of inflected and derived forms of words. Therefore a Tigrinya large vocabulary continuous speech recognition system often has a large number of different units and a high out-of-vocabulary (OOV) rate if a word is used as a recognition unit of a language model (LM) and lexicon. Therefore a morpheme-based approach has often been used and a morpheme is used as the recognition unit to reduce the high OOV rate. This paper presents an automatic speech recognition experiment conducted to see the effect of OOV words on the performance speech recognition system for Tigrinya. We tried to solve the OOV problem by using morphemes as lexicon and language model units. It has been found that the morpheme-based recognition system is better lexical and language modeling units than words. An absolute improvement (in word recognition accuracy) of 3.45 token and 8.36 types has been obtained as a result of using a morph-based vocabulary.
Traduire les syntagmes nominaux et participiaux français en suédois : Une étude des changements grammaticaux basée sur une traduction d’un texte médical français en suédois

The present study is a constrative study of a French medical non-fiction text translated into Swedish. The aim of this study is to examine how French participle and noun phrases are translated into ...
The Conception of an Autonomous Traveling Manual Wheelchair and a Study on its Localization

Abstract In a care facility, it is one of the factors that the burden of a caregiver is increasing by guiding many cared persons in a wheelchair before and after a meal. Although many autonomous electric wheelchairs have been researched and developed, it is not reasonable to introduce them for the entire care receivers in a nursing home from the viewpoint of cost, time and trouble of maintenance. We are developing a detachable robot that makes a manual wheelchair run autonomously. This paper describes the basic concept, target specifications and design conditions of the experimental machines and feasibility study about the localization by using the optical flow sensor. In the future, we will proceed with the implementation of the autonomous driving function.
REQUIREMENTS AND RECOMMENDATIONS FOR UNIVERSITY RESEARCH DATA REPOSITORY: A CASE STUDY

The changing research culture poses new requirements on research communities across disciplines. The availability ofdifferent research outputs requires appropriate infrastructure in order to publish and recognize them as researchcontributions.
The Development of Interactive E-book of Teaching Indonesian for Speaker of Other Language (TISOL) Containing Local Wisdom with Scientific-Thematic Approach

Abstract TISOL learning definitely needs to notice planning, processes, evaluations, learning materials, media, and methods used. However, selecting the media and learning material should give foreign students the description about Indonesia condition so that can lead them to be more interested in learning Indonesian language. This study was a developmental research aiming to apply a model of the local wisdom-based interactive book for TISOL students in Indonesia. The research stages are applied 4 stages, namely (1) preliminary study or exploration, (2) prototype development, (3) prototype test, and (4) dissemination or product implementation. The location of this study was institutions which organizing TISOL in Indonesia. This study was planned to be conducted in 3 years to get data as a reference for the product development and implementation in term of the interactive e-book. Sources of data were (1) TISOL students, instructors, organizers and persons in charge; (2) TISOL teaching-learning activities in TISOL institution; (3) data which obtained through questionnaire containing questions to emphasize the result of the exploration, and (4) textbooks used by BIPA institutions and also learning curricula. After passing some assessment, such as expert assessment, small-scale and wide-scale tests, and experiment class test, interactive e-book for TISOL learning conducted in high level score. Therefore, it can be said that the use of TISOL interactive e-book on learning process as a variation in giving learning materials in TISOL. It can be also considered as an input for TISOL learning developers to give innovation on their products developed.
Atomic Appends: Selling Cars and Coordinating Armieswith Multiple Blockchains

In this work we examine the fundamental problem of interoperable and interconnected blockchains. In particular, we begin by introducing the Multi-Distributed Ledger Objects (MDLO), which is the result of aggregating multiple Distributed Ledger Objects – DLO (a DLO is a formalization of the blockchain) and that supports append and get operations of records (e.g., transactions) in them from multiple clients concurrently. Next we define the AtomicAppends problem, which emerges when the exchange of digital assets between multiple clients may involve appending records in more than one DLO. We examine the solvability of this problem assuming rational and risk averse clients that may fail by crashing, and under different client utility and append models, timing models, and client failure scenarios. We show that for some cases the existence of an intermediary is necessary for the problem solution. We propose the implementation of such intermediary over a specialized blockchain, we term Smart DLO (SDLO), and we show how this can be used to solve the AtomicAppends problem even in an asynchronous, client competitive environment, where all the clients may crash.
LibGuides: Library Coding: Help

Interested in learning about coding? Come to one of our open coding club to tackle learning coding using our free coding platform Prenda app helps getting started with the coder app.
Enhanced Urdu Word Segmentation using Conditional Random Fields and Morphological Context Features

Word segmentation is a fundamental task for most of the NLP applications. Urdu adopts Nastalique writing style which does not have a concept of space. Furthermore, the inherent non-joining attributes of certain characters in Urdu create spaces within a word while writing in digital format. Thus, Urdu not only has space omission but also space insertion issues which make the word segmentation task challenging. In this paper, we improve upon the results of Zia, Raza and Athar (2018) by using a manually annotated corpus of 19,651 sentences along with morphological context features. Using the Conditional Random Field sequence modeler, our model achieves F 1 score of 0.98 for word boundary identification and 0.92 for sub-word boundary identification tasks. The results demonstrated in this paper outperform the state-of-the-art methods.
Impact of Authentic Leadership on Project Success with Mediating Role of Job Satisfaction

The purpose of this study is to examine the impact of authentic leadership on project success with the mediating role of job satisfaction. The data accumulated from arbitrary questionnaire of 150 individuals who was in understudies and delegates of different establishments and organizations as poll. 150 questionnaires were conveyed and after that evaluate them. This investigation will give significant data about authentic leadership and project success and address the part of authentic leadership and job satisfaction. This review concentrates on project success by authentic leadership through key administer extend system (which emphasis on effective final product by honest and mindful initiative) and fulfillment level of employees.
Supply and Demand of Ai-Aided Language Education

Intelligent technology empowers foreign language education, boosting the development of various kinds of learning APPS and websites. Artificial intelligence -assisted foreign language education can balance education supply and demand, meanwhile it can reduce education costs, bringing more benefits to education participants. Furthermore, it will improve learning efficiency, and promote education equity. Big data, learning and analysis technology can offer learners individualized content, personalized guidance and diagnostic evaluation, increasing education supply of learning materials, tutors and learning venues.