Reviewerly/exHarmony huggingface dataset:
Comparing Fusion Methods for 3D Object Detection

One of the main problems in computer vision that leads digital technologies to transform our business and social life is object detection. The solutions to the problem have various application areas such as security systems, surveillance, shopping applications, and much more. Significant performance gain have been achieved by using the popular deep learning methods that are applied on 2D RGB images. With the availability of low-cost 3D sensors, methods that incorporates 3D data with 2D RGB data using existing deep network architectures became more popular to increase performance further. In this work, different data level and feature level fusion strategies have been analyzed to incorporate 3D depth and 2D RGB data with existing architectures to assess their effects on the performance. These methods were tested on the real RGB-D benchmark datasets available in the literature, and the accuracy results were compared to each other in their object types of group.
On the decomposition of visual sets using Transformers

Transformers can generate predictions auto-regressively by conditioning each sequence element on the previous ones, or can produce output sequences in parallel. While research has mostly explored upon this difference on tasks that are sequential in nature, we study this contrast on visual set prediction tasks, to analyze the core behaviour of the Transformer model. Multi-label classification, object detection and polygonal shape prediction are all visual set prediction tasks. Precisely predicting polygons in images is an important set prediction problem because polygons are representative of numerous types of objects, such as buildings, people, or obstacles for aerial vehicles. Set prediction is a difficult challenge for deep learning architectures as sets can have different cardinalities and are permutation invariant. We provide evidence on the importance of natural orders for Transformers, analyze the strengths and weaknesses of different solutions that can solve the set prediction task directly, and show the benefit of decomposing complex polygons into sets of ordered points in an auto-regressive manner.
GPU-Accelerated Summarization and Reconstruction Techniques for Big Data Analysis and Visualization

With the ever-growing amount of data we arecapable of collecting nowadays, the need for methods to analyze andgenerate insight into the big data emerges. Data visualizationoffers a powerful tool to allow humans to better understand thedata. However, the large-scale data generated through simulation orcollected from real-world scenarios leads to an insurmountableamount to sift through for humans, even when the data arevisualized in a concise format. To combat this, it is necessary tosimplify the data using summarization techniques. Whilesummarization allows an overview that is easier to digest forhumans, it comes with the drawback of omitting parts of the data.To overcome this drawback, data reconstruction techniques allow fora level-of-detail analysis of the underlying data. They furthermake it possible to synthesize missing data. For both datasummarization and reconstruction, it is important to tackledifferent kinds of data in their respective ways. In thisdissertation, I describe several ways to summarize and reconstructtime-varying multivariate, vector field data, and graphdata. Time-varying multivariate volumetric datatypically stem from scientific simulations that describe physicalor chemical processes, usually in either two or three spatial di-mensions, a temporal dimension, and contain multiple variables.Volume visualization techniques are usually used to visualize andanalyze them. In this dissertation, I focus on data analysis usingisosurface rendering, a commonly used volume visualizationtechnique. While isosurface rendering allowsdetailed insight into time-varying multivariate data sets, thesheer complexity of them makes it often impossible to analyze andvisualize all the data at once. A major challenge is the selectionof interesting or important parts to bring to the attention of theanalyst. Previous works have presented algorithms to select salientvalues, however, these algorithms do not scale well enough for bigdata analysis. In this dissertation, I present an acceleration andanalysis framework to efficiently analyze and visualize completelarge-scale time-varying multivariate data sets using isosurfaces.A different type of data produced by scientific simulation isvector field data. At the core of describing fluid dynamics, thesedata sets are composed of vector fields revealing the underlyingdevelopment of the flow. When it comes to the simulation ofunsteady flow, scientists often face the challenge of only beingable to generate output at a coarse temporal granularity. Thisleads to the problem of reconstructing the data at missing timesteps with high quality for postprocessing and analysis. In thisdissertation, I study three different deep-learning approaches toreconstruct missing vector fields from a small set of storedones. Another way to navigate through data is byusing a graph representation. Graph representations are commonlyused to show the relationship among entities. A typical way todepict graph is a node-link diagram with…
LibGuides: Bookbinding: From Pages to Book: History of Bookbinding

This guide will introduce adult students to the art of bookbinding. It is a compendium of information resources on bookbinding, including the history of bookbinding, materials and where to find them, styles, and tutorial resources.
Perancangan Sistem Informasi Point of Sale Berbasis Website pada Toko Azam Grosir dengan Metode Waterfall

The sales process at the Azam Wholesale Store is still done conventionally with manual recording. The manual recording system is less efficient because it requires a lot of books and orders that must be recorded into the books manually. This condition also causes errors in entering/recording sales data. Making reports takes a long time because they have to find and collect the necessary data from the notes in the book. In this study, we proposed to develop a POS (Point of Sale) application to solve existing problems so that store work activities can run smoothly. The method used in this POS system is the Waterfall method. The Waterfall method is a method used to develop software sequentially (such as a waterfall) that goes through several stages, namely planning, design, implementation, and testing. The application developed shows that the Point of Sale (POS) system can facilitate Toko Azam Grosir in recording, calculating, making documents and sales information to manage and recapitulate sales reports.
Quantum Walk on the Generalized Birkhoff Polytope Graph

We study discrete-time quantum walks on generalized Birkhoff polytope graphs (GBPGs), which arise in the solution-set to certain transportation linear programming problems (TLPs). It is known that quantum walks mix at most quadratically faster than random walks on cycles, two-dimensional lattices, hypercubes, and bounded-degree graphs. In contrast, our numerical results show that it is possible to achieve a greater than quadratic quantum speedup for the mixing time on a subclass of GBPG (TLP with two consumers and m suppliers). We analyze two types of initial states. If the walker starts on a single node, the quantum mixing time does not depend on m, even though the graph diameter increases with it. To the best of our knowledge, this is the first example of its kind. If the walker is initially spread over a maximal clique, the quantum mixing time is O(m/ϵ), where ϵ is the threshold used in the mixing times. This result is better than the classical mixing time, which is O(m1.5/ϵ).
Remote Conference in the Times of the Pandemic

The COVID-19 pandemic forced a sudden increase of remote activities including work, learning and also scientific conferences. Almost a year of experience in remote work, remote meetings and remote conferences clearly showed that these events are markedly different from their traditional counterparts. The aim of this workshop is to analyse factors influencing the user experience of remote conferences, thereby creating a set of guidelines for their future organizers. Patterns may be identified from personal experiences shared by HCI researchers as participants or organizers of remote conferences. Methodologically, the methods of Design Thinking combined with the auto-ethnographic approach will be employed for the workshop. Participants will be able to find new insights into the process of the organization of remote conferences and transform such insights into an actionable set of guidelines for future remote conference organization.
ANALISIS PSIKOLOGI SASTRA DALAM NOVEL HATI SUHITA KARYAKHILMAANIS HUBUNGANNYA DENGAN PEMBELAJARAN BAHASAINDONESIA DI SMA

ABSTRACTThis study aims to describe the psychology of literature in the novel HatiSuhita byKhilmaAnis in relation to learning Indonesian in high school. In the research of HatiSuhita'snovel, researchers used psychological theory according to Abraham Masllow. According toMasllow there are 5 levels of human needs, namely: 1. Physiological needs, 2. The need forsecurity, 3. The need for love and belonging, 4. The need for self-esteem, 5. The need for selfactualization.This study used descriptive qualitative method. Sources of data obtained from thenovel HatiSuhita. The novel used was the first printed novel, April 2019. The data collection inthis study was the repeated reading of the novel HatiSuhita. This study has 4 stages, including:data reduction, data exposure, data presentation, and drawing conclusions.Based on the research it can be concluded: (1) Literary psychology in the novelHatiSuhita there are 5 levels of needs according to Masllow, namely: physiological needs,needs for security, needs for love and belonging, self-esteem needs, and self-actualization needs.Physiological needs are basic human needs, namely food, drinks, oxygen, sex, and so forth. Theneed for security is the need that drives a person to get peace, certainty, and order in hisenvironment. The need for love and belonging can include the desire to be friends, or to have apartner and offspring, the need to be close to his family, and also the desire and receive love.The need for self-esteem is the need for someone to feel that he is a person who should berespected and respected as a good human being. The need for self-actualization is a need thatdrives the individual to show his potential to be recognized as capable by his environment. (2)Novel HatiSuhita by KhilmaAnis has a relationship with learning Indonesian in high school canbe seen in KD. 3.9 which reads analyzing the contents and linguistics of the novel withindicators identifying intrinsic and extrinsic elements in the novel.
Underwater Robotics Project with Dr D Wettergreen, C Silpa-Anan, C Gaskett

ANU Reporter Photos - Research School of Information Sciences and Engineering, Psychology Clinic, Indonesian Ambassador's visit, Underwater Robotics Project etc. - Roland Groese, Andrew Tridgell, Salih Ozgul, Belinda Barker, Cristian Torres, Dr. D. Wettergreen, C. Silpa-Anan, C. Gaskett & others
ANALISIS, PERANCANGAN LAYANAN TERPADU E-MALL MULTI_MITRA TEKNOLOGI SOA MENGHADAPI PANDEMI COVID-19

The progress of the development of information technology, communication and SOA (Service OrientedArchitecture) that is very fast making all activities of aspects of human life must follow. Especially creating long distanceshopping and transactions, one way to avoid the crowds and chaos of people when conditions (epidemics that aresimultaneously contagious everywhere, covering large geographical areas) the COVID-19 pandemic. Among them arebusiness, business, education, and other activities. Constraints developing applications, it is very difficult and expensiveand requires a long time due to differences in platforms between applications and limited access to the server for thesecurity of the server itself. SOA can solve this problem, can make existing programs become service oriented. This canbe done with programs that have been built in a modular manner so that it is enough to only add web services techniquesin them. Then a service interface is created without changing the logic of the program. Thus the testing is sufficient onthe interface, while the function / logic in it does not need to be tested again because it does not change. SOA integratesand accelerates Multi-Partner business processes, all of which can improve efficiency in all fields. Based on this fact thisresearch was conducted. The research method begins with a literature study, and documentation of related journals as areference source for analysis. Then proceed with direct observation, conducting interviews with several Mall partners;store owner, banks, residents / customers in the Mall (the author is not allowed to mention the name of the store owner,customer name, name of the store owner, and the name of the Mall) to get the required data Modeling the system designprocess of the Unified Modeling Language, Enterprise Architect and tenology used by SOA. The system developmentmethod uses Prototype. The end result of this research (study) is expected to be used by related parties in developingremote transactions and other parties interested in SOA.
EFEKTIVITAS BAHAN AJAR SASTRA BERBASIS APLIKASI WIKI-TERSTRUKTUR UNTUK MENINGKATKAN KOMPETENSI PEDAGOGIK GURU

Online learning conducted during the Covid-19 pandemic requires teachers to be creative in implementing strategies to convey material by building a strong and progressive pedagogical atmosphere. This study aims to describe the use of literature teaching materials based on the Wiki-Structured Application (WSA) as a solution to a pedagogical crisis so that online learning by teachers is substantially as effective as offline learning. Indonesian junior high school teachers were involved in this study. Quantitative-descriptive method is used in this study. Data collection was carried out by using a survey of learning using these teaching materials. Presentation of data uses descriptive statistics either using numerical or graphical representations. The results show that 1) The teacher feels that WSA is helped in managing teaching materials, especially in literature 2) WSA is effectively used as a medium for learning literature 3) WSA contains features that can visualize abstract concepts in literature subjects.
LibGuides: Patron Handbook: Circulation Policies

Policies and general information about using the library. Policies about borrowing items from the Darling Library.
COMPARATIVE ANALYSIS OF INFOTAINMENT SYSTEMS

The issues of relevance of work in information and entertainment systems, on the pages of which a lot of diverse and fascinating content is concentrated, are considered. The existing information and entertainment systems that are in demand in the market are analyzed and all the key characteristics of the resources, their features and disadvantages are identified. The possibilities of registering and working with content in the systems Reddit, Pikabu, JoyReactor, 9GAG, Fishki.net are investigated. Special attention is paid to determining the rating of publications and comments. The analysis of functional features of information and entertainment systems is carried out. The type of content for infotainment system development – the UGC (user-generated content) (videos, photos, GIFs, memes, blog posts, and audio) created and distributed by users on the Internet is defined. The viewing modes of existing systems are analyzed. The forms of activity necessary for the development of a new infotainment system are formulated.
Secure File Storage in Cloud Computing Based On Hybrid Cryptosystem Algorithm

In the modern generation of technology, cloud computing is a progressive and large speared technological know-how used for a range of areas such as industry, military, administration, and academic systems. The cloud computing technological know-how is accredited the subscriber to store, execute, and facilities-based offerings on its infrastructures. The subscriber is saving information at the central storage on the cloud platform at any time. The information retrieving is allowed on the person request. The impenetrable storage information on the cloud platform wants to use sturdy encryption in the course of the transmission procedure to be included well. For the invulnerable storage of the person documents on the cloud platform dealing with the more than a few challenges. Cryptography and steganography are the most famous and strong domains for facts security. The single algorithm-based protection mechanism is for the consumer archives saved in the cloud surroundings is now not fine for a excessive stage of safety for facts in cloud computing.This paper proposed and examined the usage of the new hybrid method for statistics protection over the Dropbox cloud platform. The proposed model applied a hybrid encryption and decryption approaches based totally on AES-128, RC4, and three SBOX algorithms. The result overall performance contrast is finished primarily based on the time required and entropy for the cipher operation on the file dimension degrees from 10 KB to 40 KB. The acquired effects completed common entropy for the undeniable textual content 4.60 and cipher textual content is 7.97. It is discovered that the dimension is increasing; however the entropy is a nearer common fee of the cipher text. Thus, the proposed hybrid model for the crypto machine is strong and dynamic for storage protection over the cloud platform.
Research Guides: Student Curated Digital Exhibits: Adding Items to Exhibits

This guide includes information for students curating digital exhibits using Special Collections materials
Multi-Headed Symmetrical Superpositions of Coherent States

Based on N different coherent states with equal weights and phase-space rotation symmetry, we introduce N-headed incoherent superposition states (NHICSSs) and N-headed coherent superposition states (NHCSSs). These N coherent states are associated with N-order roots of the same complex number. We study and compare properties of NHICSSs and NHCSSs, including average photon number, Mandel Q parameter, quadrature squeezing, Fock matrix elements and Wigner function. Among all these states, only 2HCSS (i.e., Schrodinger cat state) presents quadrature-squeezing effect. Our theoretical results can be used as a reference for researchers in this field.
Comprehensive Analysis of Various Deep Learning Based Facemask Detection Techniques

Uniform spread of the coronavirus has caused a sustained increase in the number of victims in different countries of the world since the day it took off. Detecting criminals is extremely necessary to ensure that the spread of the virus is constantly reduced. This article shows the use of deep learning methods which deal with different person who does not wear a facemask. This mask detection dataset includes with and without mask images, we will perform face detection in real time from a live feed through our webcam. We will likely find out if the person is wearing a face mask in still images, as well as in computer video streaming and deep learning procedures. To think of a framework that will be updated broadly, multiple classifiers with multiple optimizers must be evaluated. This research article presents a review of classifiers such as SGD, ADAM, MobileNetV2, each with ADAGRAD, VGG16 and RESNET50 optimizers.
BLOOD: A DIGITAL EVIDANCE FINDING TIME OF DEATH WITH THEEVIDENCE OF BLOOD THROUGH DIGITAL IMAGE PROCESSING

For finding the time of death, we focus on the detection and identification of body fluids at a crime scene are veryimportant samples of forensic science. There are many techniques to estimate the time of death which is medically calledlivor mortis in medical sciences. This paper mainly aims studying the forensic science by taking a task of estimatingapproximate time of death through collecting various bodily fluids.
DESAIN DAN IMPLEMENTASI DARI PENGENDALIAN GERAK PORTABLE HANDY PLASMA CUTTING BERDASARKAN SUMBU X DAN Y

In the industrial world the process of making household appliances is very much needed cutting tools, one of them is in metal raw materials. Given the demand for these goods very much with various forms. Therefore technology is needed in the form of automatic plate cutting machines to facilitate the work in the design of difficult items. Making this machine by modifying the Handy Portable Plasma Cutting into automatic motion of 2 axes, namely x and y. Using the grbl controller application as a human machine interface and functions as a sender of the g-code generated design drawings that will be cut against the controller. In this study there are operations to determine the position of the point (0,0) and for automatic operation using a stepper motor. In this study the presentation results obtained an average error obtained was 0.7% based on many experiments. And the mechanicals and materials used are not good for long-term durability.
The effectiveness of Youtube English videos towards students vocabulary competency

Vocabulary has become a crucial aspect of learningEnglish language. The aim of this study is to find out the effectiveness of using English videos from YouTube towards students’ vocabulary competency. This study employed a quantitative research design. To fulfil this purpose, 50 diploma students were selected from a university in Negeri Sembilan. These participants were then divided into two equal groups ofexperimental and control. A vocabulary test was administered as a pre-test for both groups prior to the treatment. There were three sessions of vocabulary lessons conducted with both groupsin which the experimental group watched the English videos and the control group underwent the traditional teaching method. After the sessions, post-test were given to both groups. The scores of both tests were collected and analyzed using descriptive statistics. Results revealed that the experimental group experienced improvement in their vocabulary mastery comparedto the control group. Few recommendations are presented based on the research findings
LibGuides: OER @ HFC (Open Educational Resource): Social Sciences OER

Everything you want to know to adopt, adapt, or create OERs for your class Use this template to organize the pages specific to academic areas
Influence of machine learning on pharma industries

The report is based on the influence of machine learning in the pharma industry. Not only the pharma industry but also machine learning is now applied in every industry for efficient outcomes. Machine learning uses the neural network to learn new technology and implement it in the development process. Machine learning uses the technique of artificial intelligence that reduces human effort and provides efficiency in the development process.The uses and implementation of machine learning in the pharma industry are discussed throughout the report.
LibGuides: MATHcabulary: Home

Words, resources, and activities to support math vocabulary instruction and learning objectives.
On Constructing the Professional Ability of Local Universities

In order to improve the quality of personnel training in local colleges and universities, we have carried out special research on some newly upgraded colleges and universities. After induction and analysis, it is concluded that in order to implement high-quality development in local colleges and universities, we must first solve the fundamental problem of students' professional ability construction. We must take the ability as the center, construct the curriculum group and realize the modular teaching; In order to reform the learning evaluation system, skill appraisal should be used instead of paper examination; So as to improve the competitiveness of talents and achieve sound and rapid development.