Reviewerly/exHarmony huggingface dataset:
Levy Library Guides: ISMMS Shift to Remote Instruction: Technology Guides

In response to the 2020 COVID-19 outbreak, ISMMS has made a temporary shift to online instruction. This is your guide to current info and updates. Browse our collection of graphic novels, or spend some time searching in our graphic medicine platforms and databases.
3D Reconstruction of Multi-view Images Based on Modificated Histogram Equalization

Aiming at the unsatisfactory effect of three-dimensional reconstruction of multi-scale image set and the fact that the reconstruction effect of large-scale scenes such as buildings is not realistic and the details are not prominent, this paper proposes a new image enhancement algorithm to preprocessed images, and uses the floating scale surface reconstruction algorithm to improve the surface reconstruction effect. Firstly, an image enhancement algorithm is proposed, which is based on histogram equalization. Secondly, the Structure from Motion algorithm is used to recover camera parameters, extract and match features, and generate sparse point clouds. And thenï¼Œthe MVS algorithm is used for dense reconstruction. Finally, the floating scale surface reconstruction algorithm is used for reconstruction. The experiment proved the proposed image enhancement algorithm improves the effect of feature point extraction. The surface reconstruction algorithm we use is efficiently for surface reconstruction and improves the 3D reconstruction effect.
Generating relevant scenarios for intelligent transportation service

This paper addresses risk assessment issues while conceiving complex systems. Indeed, project stakeholders have to share the same problems understanding allowing to undertake rational and optimal decisions. We propose an approach based on Natural Language Processing (NLP) techniques to improve systems quality requirements such as consistency and completeness. We assess the relevancy of our approaches through experimentations and highlighted feedbacks from project stakeholders and players.
How To Repair an Electronic Lock | Great Valley Lockshop

Technology is a great convenience right up until it stops working. Electronic locks, or smart locks are a homeowner’s best friend on most days. We ...
Self Management Of Cognition In A Team Based Engineering Design Project: A Case Study

Abstract NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract process. Those steps would help them bring the design task from its abstractive state closer to its concrete end objective. Each design phase had become the transitioning phase for the next phase and it led this team to focus themselves from their initial abstract and conceptual state of understanding to a more concrete object. The abstract and qualitative understanding of the project had eventually become manifested into real physical components before they were finally able to produce the end product, a working hydraulic bicycle. Research and Literature Review Abstract Conceptual Preliminary Computational Analysis Component Selection and Evaluation Manifestation Final Circuit Design Prototype Construction Physical Object Testing and Modification Concrete Figure 1. Design-phases and levels of design abstraction. In order to gain a better understanding of these students’ self management of cognition during the design processes, each of the design phases will be explored in detail. To simplify the discussion, the prototype construction phase and the testing and modification phase are combined. Research and literature review. The research and literature review were conducted in order to gain a firm grasp on the main concepts of hydraulics, bicycles, and previous hydraulic bicycle designs. The team believed that because they had a good understanding of these three concepts, they had a clear idea on the complexity of the design tasks. Moreover, they also believed that by having some understanding of these three main concepts, it had given them some level of self- confidence in completing the project. Understanding these technical issues did not only provide this team with some insights about the technical aspects of building a hydraulic bike, but it also offered a common metacognitive tool [11] so these students could achieve self-appraisal and self-management of their own thinking. During this phase, these students acquired some declarative knowledge about the project by first identifying the components (e.g., hydraulic pumps and motors), design parameters, and relationship among those components that might affect the performance of their hydraulic bike. As Linda put it, “During this phase, we focused on the what thing rather than the how thing.” Special attention was given to learn about these components as each component has its own working characteristics that have direct impact on the performance of the bike. Lessons learned from studying the historical aspect of the hydraulic bike were also integrated in this team’s future design.
Evaluation of Drop Shadows for Virtual Object Grasping in Augmented Reality

This article presents the use of rendered visual cues as drop shadows and their impact on overall usability and accuracy of grasping interactions for monitor-based exocentric augmented reality (AR). We report on two conditions, grasping with drop shadows and without drop shadows, and analyze a total of 1620 grasps of two virtual object types (cubes and spheres). We report on the accuracy of one grasp type, the Medium Wrap grasp, against Grasp Aperture ($GAp$GAp), Grasp Displacement ($GDisp$GDisp), completion time, and usability metrics from 30 participants. A comprehensive statistical analysis of the results is presented giving comparisons of the inclusion of drop shadows in AR grasping. Findings showed that the use of drop shadows increases usability of AR grasping while significantly decreasing task completion times. Furthermore, drop shadows also significantly improve user's depth estimation of AR object position. However, this study also shows that using drop shadows does not improve user's object size estimation, which remains as a problematic element in grasping AR interaction literature.
Estrategias de cálculo mental empleadas por una alumna de segundo grado de primaria: El caso de Luisa

espanolEste trabajo contiene el analisis detallado de las estrategias de calculo mental utilizadas por una alumna de segundo grado de una escuela primaria federal ubicada en la Ciudad de Puebla en Mexico. Dichas estrategias fueron obtenidas a traves de una entrevista clinica la cual se elaboro con el objetivo de observar y analizar las estrategias de calculo mental que la alumna emplearia para resolver ejercicios de suma y resta de numeros naturales. Mediante el presente trabajo se logro observar que la estudiante raramente emplea los algoritmos que la educacion primaria promueve ya que en su lugar ha demostrado un claro apego a la creacion de sus propias estrategias las cuales no dudo en utilizar aun durante los momentos en los que se le mostraron operaciones escritas EnglishThis work contains a detailed analysis of the mental calculation strategies used by a second grade student of a federal elementary school located in the City of Puebla in Mexico. These strategies were obtained through a clinical interview which was developed with the objective of observing and analyzing the mental calculation strategies that the student would use to solve exercises of addition and subtraction of natural numbers. Through this work it was possible to observe that the student rarely uses the algorithms that primary education promotes since instead she has demonstrated a clear attachment to the creation of her own strategies which she did not hesitate to use even during the moments when They showed him written operations
Example 2 – Linear Differential Operators, Fourier-Series and the RCL-Circuit

The following chapter uses a second example to show how mathematical models are used in physics to describe experimental observations.
Scientific Information in the Digital Age and Its Influence on Interlibrary Loan and Document Delivery

Interlibrarlibrary loan (ILL) has always been very important and had its place among other library services. The service enables library to obtain material from other library to its users, or to supplies material to another library. Computerization of library operations, technological changes, the appearance of the World Wide Web, proliferation of library material in digital form influenced inerlibrary loan services as well. Nowadays more frequently terms Document delivery (DD) and Resource sharing (RS) are used for the service. Towards the end of 20th century scholarly journal publishing has undergone significant changes by introduction of e-journals to the market. The other types of library materials followed the trend with its own digital editions (e-books, e-thesis etc.). The academic publishers had monopoly on publishing for years, as the consequence the subscription prices were high, access to e-publication was restricted therefore Open Access initiative emerged as a response.The initiative has been supported by policies of many countries demanding that publicly funded research should be available free of charge to all. How technological changes and increased availability of electronic resources have influenced ILL service will be shown on the Centre for Scientific Information example together with overview of current trends in the world.
Stochastic Convolutional Sparse Coding

This work was supported by King Abdullah University of Science and Technology as part of VCC center baseline funding.
Research on the Construction of Knowledge base for Existing residence Diagnosis and Repair

The knowledge base of diagnosis and repair of existing residence provides support for its maintenance and update.The paper aims at investigating the maintenance of existing residence as well as the decision-making and credibility of the renewal projects.Based on the knowledge base of diagnosis and repair of existing residence, the paper attempts to propose a fundamental structure for the diagnosis and repair of existing residence under the guidance of the knowledge base to construct an integrated framework to improve the efficiency of housing maintenance and update.
Analysis on the expectations of future multi-modal biometrics fusion

A biometric classification is basically a prototype detection system that is activated by gaining biometric evidence from a personality, mine the feature set from the attained data, and match up the facet set aligned with the pattern set in the database. This technology is also the science of distinguishing and recognizing the human qualities using e-equipments that channels and analyses the biological statistics. The multimodal biometric structure is becoming more and more popular, they have more accurateness as compared to unimodal biometric systems. These systems are more complex to build but these systems are the future traits. Current obsolete methods such as private-public keys, passwords, and PINs generated are with no trouble stolen and pooled. This paper focuses on the expertise that is used as modes of categorizing an individual based on their distinctive physiological and behavioral qualities to secure our information now and also in the future. Deployed multimodal biometric systems also referred to as multi-biometrics or even as multimodalities are commonly found and used in electronic chips, embedded in travel documents. A noteworthy amount of very topical advances to the appropriate fortification expertise has been available. This paper demonstrates an inclusive indication of a study in multibiometrics, the security of their stencils and the solitude concern that come to pass. State-of-the-art re-examination of the breathing fiction edifying the in-progress proposals are also supplied based on the altered levels of fusion and the employed protection algorithms.
Cognitively-inspired episodic imagination for self-driving vehicles

The controller of an autonomous vehicle needsthe ability to learn how to act in different driving scenariosthat it may face. A significant challenge is that it is difficult,dangerous, or even impos ...
Mozzie AR Toolkit

A significant concern for Australia’s health, environment and community is mosquito born diseases, which kill more people than any other living entity (Gates,2014). Limited social awareness of their breeding habitats remains an issue. This toolkit is a novel, design led solution that draws on interaction design and STEAM to engage and educate people and promote active participation with science and for science communication. It educates the community in the environmental science and health concerns surrounding mosquitoes, by engaging them through creative, physically active and digitally interactive designs. The toolkit is conceptualized for primary school student delivery and integrates with school curriculae, while elements have also been independently presented. Five elements have been designed and built for the toolkit: 1/ The Mozzie AR App - an interactive app for mobile devices using Augmented Reality technology to overlay virtual mosquito habitat on the real world, with a virtual scientist “Maya” to direct enquiry; 2/ Lens case design for Ipad - by resembling a magnifying lens, this assists in the framing of the school activity as a ‘junior science detective’ as students ‘hunt for mosquitoes’ 3/ Mosquito life cycle activity – paper based with stickers, to accompany the app in school setting 4/ Mosquito habitat hunting activity – paper based to accompany the ‘virtual scientist’ directions and findings when using the app, in the school setting. 5/ Lava fish game design activity – card with a folding ‘mosquito-predator’ activity, for school setting In 2019 the app was presented at an interactive installation during National Science week at the QUT Cube, and at the Queensland Royal Agricultural Show (EKKA). It was also presented as part of the Mozzie AR toolkit at workshops with primary school children. The design is informed by expertise from project collaborators. It has been competitively funded by an Advance Queensland Science Engagement grant in 2019-20, the QUT Design Lab and in-kind contributions from the partners at Metro South Health, CSIRO Biosecurity and CSIRO Data 61. A media release from Qld Govt’s Hon Leeanne Enoch said “An excellent example of a project that is connecting students with scientists is QUT’s Mozzie Augmented Reality project” and quoted Seevinck about the project (Sept 2019)
English and American Literature Teaching in Colleges and Universities in the New Media Age

In the new media age, English and American literature teaching in colleges and universities need adjust to the change, which can get rid of the teaching dilemmas. In order to construct the teaching effects and optimize the teaching modes, it is necessary to use diverse methods to improve English and American literature teaching in the age.
Rancang Bangun Sistem Informasi Pembelian Bahan Baku Pada PT. Herba Medica Lestari Dengan Metode Waterfall

At present the development of information technology is growing rapidly. As for many companies that use computers to spend up and simplify human work. PT. Herba Medica Lestari is a company engaged in the food and beverage industry that requires information system to support company needs. For the reason, the author tries to make a research regarding the purchase accounting information system at PT. Herba Medica Lestari which is currently not computerized as an alternative problem solving and as an auxiliary media that can process large andafast amounts of purchase anda storage data compared to paper media. Therefor with a computerized system better than a manual system, so that the purchasing system can run more effectively and efficiently, to make it better than the previous system
Library Guides: Omeka: Exhibits

Omeka is a free, flexible, and open source web-publishing platform for the display of library, museum, archives, and scholarly collections and exhibitions.
Sedimentological study of the Lower-Middle Miocene Sequences at Selected Wells in Jambur and Khabaz oilfields, NE Iraq

The study includes petrographic and stratigraphical chraractrstic of the lower-middle Miocene sequence at selected wells from Jambur and Khabaz oilfields. Four hundred and sixty thin section from Jeribe, Serikagni, Euphrates, Dhiban, Anah and Azkand formations in four wells from Jambur and Khabaz oilfields are studied. The stratigraphic study indicates that contact between Jeribe and Faꞌtha formations, Jeribe and Dhiban formations are unconformable in all wells under study, while the contact between Jeribe and Anah, Anah and Azkand, Euphrates and Serikagni formations are conformable.&#x0D; The petrographic study reveals that most of the studied formations are limestone rich in benthonic foraminifera especially in Jeribe and Anah formations, with low percentage of planktonic foraminifera such as Globigerina species in Serikagni and Azkand formations. Additionally, echinoids, coral algae, ostracoda and intraclast remains are present. Non-skeletal component such as, pellets and ooids are rare in Euphrates Formation. Microfacies analysis shows the presence of several microfacies distributed in the studied formations.&#x0D; The environments of lower-Middle Miocene formations have been concluded from petrography and microfacies studies. Jeribe Formation was deposited in lagoonal or semi lagoonal environment, while Serikagni and Euphrates formations were deposited in deep marine environment and shallow open lagoon environment respectively. Closed lagoonal environment is assigned for deposition of Dhiban Formation, while slope and reef environment is recognized for the Azkand Formation and tidal and supratidal with reef marine tropical environment for the Anah Formation.&#x0D; &#x0D; http://dx.doi.org/10.25130/tjps.23.2018.169
An Evaluation of Literacy Program For Improving Students’ Achievement

This study aimed at evaluating the implementation of the literacy program in SD Negeri 6 Pulau Rimau, to find out the supporting and inhibiting factors of the literacy program and how the solution was developed in the literacy program. This research belongs to descriptive qualitative. The implementation of the literacy program in SD Negeri 6 Pulau Rimau in general was relevant with the literacy handbook published by the Ministry of Education and Culture 2016. Supporting factors of the school’s literacy were adequate facilities and infrastructure as well as support from teachers to students. The inhibiting factors were the lack of motivation from students, the delay in attending school and the lack of picture books. The solution to the obstacles is maintaining the cohesiveness of the literacy team, the motivation of the school and parents to students.
DO PRECONCEITO À (IM)POLIDEZ: ASPECTOS SOCIAIS, IDEOLÓGICOS E LINGUÍSTICOS QUE CIRCUNSCREVEM PRÁTICAS RACISTAS E SEXISTAS NO FACEBOOK

Virtual interactions are often an extension of face-facing encounters, solidifying in digital spaces as the discursive discourse of racism and sexism practices. Starting from the studies of Sociology, Pragmatics and Interactional Sociolinguistics, our goal is to understand, from Fanon (2008), Van Dijk (2017) Brown and Levinson (1987) and Culpeper (1996; 2011), as the prejudice of materializing in (im) language policy through Facebook posts. We conducted a qualitative, exploratory and descriptive survey whereby we selected a post in a Facebook group about a possible case of harassment between a foreign student and a brazilian student. For this, it selects and analyzes as the most relevant answers, according to the criteria of the social network itself. The results demonstrated how politeness strategies were used both to create a positive image of the potential offender and to solicit support from group members in relation to him; In addition, there is condensation between politeness and impoliteness strategies when the effect was to attack one of the group members, the victim or the supposed aggressor himself. Our investigation shows the historical, ideological, social and contextual foundations for the event, as well as an analysis of the politeness and impoliteness strategies applied by the group participants. Conclude that the statements seek alternate between politeness and linguistic impoliteness for the production of biased messages.
Running your mind and life effectively when there is no life instruction manual

The problem with humans is that no life operating manual is issued at birth, leaving individuals to work out the rules for themselves. This acquisition of life skills takes time and a lot of trial and error, and many never figure it out. The following article attempts to provide the manual you should have been given at birth.
Performance Evaluation of Support Vector Machines (SVM) and Convolution Neural Networks (CNN) for Video Tampering Classification

Intelligent video surveillance system are extensively used in each and every sector of business.Ranging from small shops to safety systems, surveillance has become an integral part.In these fielded systems, a variety of factors can cause camera obstructions and persistent view change.The view change may adversely affect their performance.Examples include intentional blockage, noise, frame freeze, etc. which might warrant alarms.Considering the fact that the intelligent surveillance system is with very less human intervention, it is important to efficiently classify the tampered video.Analysis of the tampered videos helps in further scene investigation.The goal of the project is to use Support Vector Machines (SVM) a machine learning technique which classifies the real-time videos based on features extracted.The features selected are histogram gradients, HSV (Hue Saturation Value) and RGB (Red Blue Green) for the color based classification and edges (edge weight and direction) for the texture based classification.Further improvements are done using a deep learning technique such as CNN.Convolution neural networks make use of large amount of training data and use tensorflow framework for classification.The system accepts video inputs in mp3 or avi format.The output is the classification of tampered videos and alarm generation.Comparison between the two methodologies is done.Support vector machines gives an accuracy of 75% and convolutional neural networks give accuracy of 93%.The system is very useful to monitor all the surveillance activities.
Path planning and collision avoidance for UAVs using 3D A* algorithm and artificial potential field technique

In this paper, we developed obstacle collision avoidance method using 3D A* algorithm and artificial potential field (APF). The 3D A* algorithm creates a global path that directs the final destination while avoiding unmanned aerial vehicle (UAV) collisions, and APF creates a local path that avoids surrounding obstacles in real time. The 3D A* algorithm verifies static obstacle information using the map generated from real-time appearance-based mapping (RTAB-Map). Then, a 3D evaluation function is obtained to the destination to generate a global path which is the shortest flight path. The RTAB-Map uses the depth camera to generate the Odometry and the surrounding terrain map of the UAV. The RTAB-Map maps the surrounding environment without recognizing objects that are not stationary. Therefore, it does not have information about moving objects in real time. APF was used to supplement this. The APF is used to avoid any dynamic or static obstacles. In this paper, we use Gaussian mixture model (GMM) based APF. All obstacles data observed on 2D-LiDAR create and update GMM in real time. The UAV is subjected to an artificial force that is pushed by the slope obtained by partial differentiation of the GMM generated on the 2D-LiDAR plane. Therefore, the UAV will fly on the local path out of the global path. The obstacle collision avoidance simulation was carried out using the control law of the open source PX4. The actual UAV test used Pixhawk to implement the PX4 firmware and the Robot Operating System (ROS) to implement the collision avoidance algorithm.