Reviewerly/exHarmony huggingface dataset:
FCM Based on Improved Artificial Bee Colony Algorithm

To solve the problem of premature convergence and sensitivity to the accuracy of the initial clustering center in original fuzzy C-means clustering (FCM) algorithm, a new fuzzy C-means clustering based on Improved Artificial Bee Colony algorithm is proposed. Under the guidance of the best solution of the whole situation, a new mutation operation scheme is proposed. The exploitation and exploration ability of Improved Artificial Bee Colony method is improved. Experiments show that this method is more effective for complex clustering problems than traditional clustering methods.
Vehicle detection and tracking method

Traffic surveillance system or as known as Intelligent Transportation System (ITS) is an important issue in traffic monitoring management. A computer-vision based technique is the one of the most popular methods applied in video surveillance application. Several techniques of vehicle detection, classification, counting and tracking have been proposed by many researchers. Therefore, the existing techniques that have been used now still have an issue regarding to lowest quality of the traffic monitoring systems and sometimes low on their effectiveness and accuracy. Focus on vehicle detection and tracking system, Optical flow is used in order to detect and track vehicles. Kalman filter is the popular object tracking method implement in current existing system, however, Optical flow based method give better performance result rather than kalman filter based on the research analysis that have been done. While, for foreground detection method, the frequently used method is Background subtraction method approach but in this research, more focusing on Adaptive Background subtraction. This research objective is to develop Vehicle Detection and Tracking System and to enhance its accuracy using Adaptive Background subtraction with Adaptive Median Filter to filter the noise distortion in the acquired video. The proposed methods come from comparison analysis of existing method focusing on noise filtering which is Median filter and Adaptive Median filter that will give satisfied result for the vehicle’s detection accuracy.
Guides: Ebooks and Audiobooks for free: Library Resources

There are a number of free resources out there for electronic books and audiobooks that do not require a library card. There are many of these items in the public domain and you can access and download for free.
LibGuides: Getting Started Using the Library (Support during COVID-19) : Market Research

This guide will help you learn how to access library resources during the COVID-19 disruption.
Big Graph Processing Systems (Dagstuhl Seminar 19491)

This report documents the program and the outcomes of Dagstuhl Seminar 19491 Graph Processing We are just beginning to understand the role graph processing could play in our society. Data is not just getting bigger, but, crucially, also more connected. Exploring, describing, predicting, and explaining real- and digital-world phenomena is increasingly relying on abstractions that can express interconnectedness. Graphs are such an abstraction. They can model naturally the complex relationships, interactions, and interdependencies between objects. However, after initial success, graph processing systems are struggling to cope with the new scale, diversity, and other real-world needs. The Dagstuhl Seminar 19491 aims to addresses the question: How could the next decade look like for graph processing systems?To identify the opportunities and challenges of graph processing systems over the next decade, we met in December 2019 with circa 40 high-quality and diverse researchers for the Dagstuhl Seminar on Big Graph Processing Systems. A main strength of this seminar is the combination of the data management and large-scale systems communities. The seminar was successful, and addressed in particular topics around graph processing systems: ecosystems, abstractions and other fundamental theory, and performance.
The ABCs of ERM: Demystifying Electronic Resource Management for Public and Academic Librarians

"The ABCs of ERM: Demystifying Electronic Resource Management for Public and Academic Librarians." Journal of Electronic Resources in Medical Libraries, 17(1-2), pp. 60–61
An interdisciplinary approach to learning programming through the creation of electronic music in the sonic pi audio programming environment

With the development of computer technologies, there is a rapid development of applied music based on computer technology: music for computer games, for advertising, for voicing household and other equipment, music in movies and animations, TV music, and academic music. This indicates the relevance of such an area of use of information technologies as program (algorithmic) sound synthesis, and the need for schoolchildren to familiarize themselves with this promising IT area. The fact that music and mathematics are interconnected has been known since ancient times. Now we can observe the close connection of music and informatics. And not just the processing of music in synthesis programs, but the programmatic creation of music using code. The article shows the relationship of musical art with the art of programming, considers the concept of the Sonic Pi audio programming environment, demonstrates the main features of this environment, language tools for programming algorithms, data structures and musical compositions in Ruby.
A Prolegomena to the Oron Tense System

There is no concurrence on the number of tense divisions in most tense analyses on Oron. Research in this area has recorded several dissimilar tense divisions ranging from three to nine. This paper re-assesses tense in general and its operation in Oron, a Lower Cross language (LCL) in Nigeria, in particular, using a descriptive framework. This is compared with what is already known of Ibibio, a sister language and English, Nigeria’s official language. The Oron-Ibibio data were elicited from native-speakers, using a pool of structured sentences and some world list, while the library served as a secondary source for the three languages. The ultimate phonetic forms of the past and future tense allomorphs in Oron are syntactically and discursively conditioned, in a way that hones the phonologysyntax interface. Available data and our analysis indicate that the present tense is not grammaticalized in Oron. The past and future are demonstrably marked, instead. Part of the significance of this paper, with regards to its original contribution rest in refuting the orthodox thesis that tense in Oron yields a ‘natural’ triadic (of past, present and future) or multifarious division (cf. Simmons 1956; Essien 1990, 1991, 2006; Okon 2006; Essien 1999; Udosen 2004; Akaduh 1984). While our binary postulation is impelling, it is by a large extent prefatory. Hence, we encourage more analysis in this direction and in Oron morpho-syntax in general. This could be more productive if considered from the viewpoint of linguistic time.
LibGuides: K-12 Learning at home during COVID-19: Mathematics

This library guide outlines resources used to support BC K-12 curriculum-focused learning in home settings.
Towards a Smart Drone Cinematographer for Filming Human Motion

Author(s): Huang, Chong | Advisor(s): Cheng, Kwang-Ting (Tim) | Abstract: Affordable consumer drones have made capturing aerial footage more convenient and accessible. However, shooting cinematic motion videos using a drone is challenging because it requires users to analyze dynamic scenarios while operating the controller. In this thesis, our task is to develop an autonomous drone cinematography system to capture cinematic videos of human motion. We understand the system's filming performance to be influenced by three key components: 1) video quality metric, which measures the aesthetic quality -- the angle, the distance, the image composition -- of the captured video, 2) visual feature, which encapsulates the visual elements that influence the filming style, and 3) camera planning, which is a decision-making model that predicts the next best movement. By analyzing these three components, we designed two autonomous drone cinematography systems using both heuristic-based methods and learning-based methods.For the first system, we designed an Autonomous CinemaTography system -- ACT by proposing a viewpoint quality metric focusing on the visibility of the 3D human skeleton of the subject. We expanded the application of human motion analysis and simplified manual control by assisting viewpoint selection using a through-the-lens method. For the second system, we designed an imitation-based system that learns the artistic intention of the cameramen through watching professional aerial videos. We designed a camera planner that analyzes the video contents and previous camera motion to predict future camera motion. Furthermore, we propose a planning framework, which can imitate a filming style by ``seeing only one single demonstration video of such style. We named it ``one-shot imitation To the best of our knowledge, this is the first work that extends imitation learning to autonomous filming. Experimental results in both simulation and field test exhibit significant improvements over existing techniques and our approach managed to help inexperienced pilots capture cinematic videos.
Evaluating the Impact of V-Ray Rendering Engine Settings on Perceived Visual Quality and Render Time : A Perceptual Study

Background. In computer graphics, it can be a time-consuming process to render photorealistic images. This rendering process, called “physically based rendering” uses complex algorithms to calculat ...
Research Guides: Returning and Renewing items during COVID-19: FAQs

Returning items to the duPont-Ball Library during COVID-19 changes. Frequently Asked Questions
LibGuides: Passwords, Two-Factor Authentication, and Security Questions: Lifespan of Passwords

This guide goes into more detailed looks at passwords, password managers, and two-factor authentication. Notes about how long a password should be kept before it gets stale.
DLRCNeg: Deep Learning based Reading Comprehension by handling Negation

Question Answer (QA) System for Reading Comprehension (RC) is a computerized approach to retrieve relevant response to the query posted by the users. The underlined concept in developing such a system is to build a human computer interaction. The interactions will be in natural language and we tend to use negation words as a part of our expressions. During the pre-processing stage in Natural Language Processing (NLP) task these negation words gets removed and hence the semantics gets changed. This remains to be an unsolved problem in QA system. In order to maintain the semantics we have proposed a novel approach Hybrid NLP based Bi-directional Long Short Term Memory (Bi-LSTM) with attention mechanism. It deals with the negation words and maintains the semantics of the sentence. We also focus on answering any factoid query (i.e. ’what’, ’when’, ’where’, ’who’) that is raised by the user. For this purpose, the use of attention mechanism with softmax activation function has obtained superior results that matches the question type and process the context information effectively. The experimental results are performed over the SQuAD dataset for reading comprehension and the Stanford Negation dataset is used to perform the negation in the RC sentence. The accuracy of the system over negation is obtained as 93.9% and over the QA system is 87%.
A Contribution of XML: The Tools and Techniques Used for Todays’ Web/Mobile Application Development

The Extensible Markup Language (XML) plays a major role in the present world of Web Development. It makes possible to share and store the data over the Internet by the use of Web Technology. Since XML is a platform-neutral, the data can be easily described, structured, represented and exchanged over the Web. It is possible to define the tag and separate the data from the presentation. XML tags are self-describing and support the hierarchical structures. It offers technology and framework to organize the data and exchange the information. XML provides interoperability between the software applications and it support various protocol and format for information exchange. It is the foundation for e-Business and Enterprise Applications. XML also associate with other portable technologies like java and becoming a major component for data exchange and management. Keywords : XML, tools, techniques, interoperability, web application and web services Cite this Article Dhamodharan S. A Contribution of XML: The Tools and Techniques Used for Todays’ Web/Mobile Application Development, 2018. Recent Trends in Programming Languages . 2018; 5(3): 15–20p.
Implementasi Deteksi Warna Pada Game Finding Color Menggunakan Ekstraksi Fitur Warna dan Fuzzy Decision Tree

Recognizing color is an ability that must be trained from an early age. But the ability to recognize color in early childhood is still low. One of the most preferred media by children is games. Android mobile games have the advantage of providing interactive multimedia, challenges, and rewards. Finding Color games can be used to help children play actively in exploring and observing colors in the surrounding environment because they can detect colors using the camera. The stages in color detection in games are feature extraction and color classification. Color feature extraction will get the color value at the selected pixel coordinates on the screen. The color classification uses fuzzy decision tree ID3. The test results of the application of color feature extraction produce an accuracy value of 100%. The fuzzy decision tree classification is evaluated using a confusion matrix, resulting in an accuracy value in outdoor light conditions of 94.4%. There is an increase of 4.4% compared to indoor conditions.&#x0D; &#x0D; Keywords— Color Detection; Color Feature Extraction; Fuzzy Decision Tree; Game; Mobile Android&#x0D;
Constraint-Based Causal Discovery In The Presence Of Cycles

While feedback loops are known to play important roles in many complex systems, their existence is ignored in a large part of the causal discovery literature, as systems are typically assumed to be acyclic from the outset. When applying causal discovery algorithms designed for the acyclic setting on data generated by a system that involves feedback, one would not expect to obtain correct results. In this work, we show that---surprisingly---the output of the Fast Causal Inference (FCI) algorithm is correct if it is applied to observational data generated by a system that involves feedback. More specifically, we prove that for observational data generated by a simple and $\sigma$-faithful Structural Causal Model (SCM), FCI is sound and complete, and can be used to consistently estimate (i) the presence and absence of causal relations, (ii) the presence and absence of direct causal relations, (iii) the absence of confounders, and (iv) the absence of specific cycles in the causal graph of the SCM. We extend these results to constraint-based causal discovery algorithms that exploit certain forms of background knowledge, including the causally sufficient setting (e.g., the PC algorithm) and the Joint Causal Inference setting (e.g., the FCI-JCI algorithm).
library.SCOTCH: The Book Thief: Home

This research guide has been created for Year 11 students studying The Book Thief. Through close reading, students develop the ability to analyse and evaluate the purpose, stylistic qualities and conventions of texts.
Comprehensive Instructional Design of Problem solving centered Lesson according to Structuring level of Problem to meet Performance Criterion of Problem Solving Capability of Manufacturing Technology in Technology Education in Middle School in Korea

이 연구의 목적은 중학교 ‘기술ㆍ가정’과 제조기술 문제해결 능력 성취기 준에 부합하는 문제의 구조화 수준에 따른 문제해결 중심의 포괄적 수업 설계 를 위한 것이었다. 이를 위해 2015 개정‘기술&#8228;가정’과 기술 분야의 성취기준 분석, 문제의 구조화 수준 분석, 제조기술 문제해결 활동의 분석을 하였다. 그 리고 이러한 준비과정을 거쳐 교수 자료와 학습 자료의 개발, 개발된 수업 설 계 초안에 대한 개선의 3단계 과정을 거쳐 포괄적 수업 설계를 완성하였다. 이러한 준비, 개발, 개선의 단계를 통해 이루어진 포괄적 수업 설계는 다음과 같다. 첫째, 문제해결 중심 포괄적 수업 설계는 중학교 ‘기술&#8228;가정’과의 제조기술 문제해결능력 성취기준을 달성하기 위한 체험활동 중심으로 이루어진 자기 주 도적 학습 활동이다. 둘째, 문제해결 중심 포괄적 수업 설계는 수업 개관, 문제해결 활동, 수업 전 략 및 방법, 수업 활동 및 유의 사항, 수업 단계와 절차, 수업 일정 및 시간 배 정, 그리고 교수 자료와 학습 자료로 이루어졌다. 셋째, 문제해결 중심 포괄적 수업 설계에 제시된 문제해결 활동은 (1) 구조화 된 문제: 차량용 다용도 걸이 만들기, (2) 반구조화된 문제: 자동차를 타면서 불 편했던 점을 해결할 수 있는 제품 만들기, (3) 비구조화된 문제: 생활 속에서 불편함을 해결할 수 있는 제품 만들기로 조직되었다.The purpose of this study was to design lessons centered on problem-solving activities according to structuring level of problems that meet the Performance criterion of problem solving capability of manufacturing technology in Technology & Home economics in middle school. To this end, were an analysis of Performace criterion in the technology sector in 2015 revised “Technology and Home economics”, an analysis of structuring level of problems, and an analysis of manufacturing technology problem solving activities. And through this preparation process, the Instructional design was completed through a three-step process of developing teaching materials and learning materials, and improving the developed instructional design draft. The Comprehensive instructional design was performed through the following stages of preparation, development and improvement. First, the problem-solving centered instructional design is a self-directed learning activity centered on experiential activities to achieve the problem-solving capability performacne criteion of manufacturing technology in Technology and Home economics in middle school. Second, the problem solving-centered instructional design consisted of class overview, problem solving activities, class strategies and methods, student activities and notices, lesson steps and procedures, lesson schedule and time allocation, and teaching materials and learning materials. Third, the problem-solving activities organized in the problem-solving instructional design were (1) structured problem: making a multi-use hanger for vehicles, (2) semi-structured problem: making a product that could solve the inconveniences while riding a car, (3) Ill-structured problem: making a product that can solve discomfort in life.
Using Computing Software to Evaluate How Physical Conditions Affect the Chess Players Results in the World Chess Championship

Although for many years, chess has been related to sedentary people, and even, in some cases, to people smoking in a room. In recent years, the world chess elite is full of very physically prepared people. In the last 20 years, chess trainers have also recommended specific diets, several hours in the gym, and also cardio training. In order to know how the physical preparation of chess players has affected their results in the world chess championships, we have developed a computing software which uses the most powerful chess engine and is able to detect the number of blunders (wrong movements) along with the world chess championship games. The paper will show graphically the number of blunders of all world chess championship players, how the number of blunders has evolved for those players that have played more than one world chess championship and in which part of the game have these blunders been made.
Energy-Efficiency Driven Strategy for Resource Aggregation Based on Future Resource-Usage Inference in a Cloud Computing Environment

Aiming at the huge energy consumption issues, this paper proposes a novel strategy for aggregation of Virtual Machine (VM)s using future resource usage inference. With the rapid and enormous development in the area of cloud computing, datacenters, a major part of cloud infrastructure swallows large amount of electrical energy and leads to increased cost and CO2 emissions. In this direction, consolidation of VMs also referred as aggregation in our work anticipates resource usage in the near future within each host. Based on this work, a model is proposed which identifies a source host machine that is either Excess-Provisioned (EP) or Less-Provisioned (LP), a target host machine for accommodating the VMs selected from the above machines. Our experiments show through a rigorous analysis with the peer works in existence, minimization in the number of active hosts.
Library Guides: Omeka: Adding Collections

Omeka is a free, flexible, and open source web-publishing platform for the display of library, museum, archives, and scholarly collections and exhibitions.
Understanding the Relative Strength of QBF CDCL Solvers and QBF Resolution.

QBF solvers implementing the QCDCL paradigm are powerful algorithms that successfully tackle many computationally complex applications. However, our theoretical understanding of the strength and limitations of these QCDCL solvers is very limited. In this paper we suggest to formally model QCDCL solvers as proof systems. We define different policies that can be used for decision heuristics and unit propagation and give rise to a number of sound and complete QBF proof systems (and hence new QCDCL algorithms). With respect to the standard policies used in practical QCDCL solving, we show that the corresponding QCDCL proof system is incomparable (via exponential separations) to Q-resolution, the classical QBF resolution system used in the literature. This is in stark contrast to the propositional setting where CDCL and resolution are known to be p-equivalent. This raises the question what formulas are hard for standard QCDCL, since Q-resolution lower bounds do not necessarily apply to QCDCL as we show here. In answer to this question we prove several lower bounds for QCDCL, including exponential lower bounds for a large class of random QBFs. We also introduce a strengthening of the decision heuristic used in classical QCDCL, which does not necessarily decide variables in order of the prefix, but still allows to learn asserting clauses. We show that with this decision policy, QCDCL can be exponentially faster on some formulas. We further exhibit a QCDCL proof system that is p-equivalent to Q-resolution. In comparison to classical QCDCL, this new QCDCL version adapts both decision and unit propagation policies.
Research Guides: Library Policies for Remote Classes and University Covid-19 Procedures: Information on Internet Access

Quick guide for students in regards to the policies and resources of the library for Fall 2020
COVIDSafe App - Submission to the Parliamentary Joint Committee on Human Rights

This submission to the Parliamentary Joint Committee on Human Rights sets out how the Australian government’s scheme around the COVIDSafe app can better align with the human right to privacy. We recognise the app pursues a legitimate objective and that the Biosecurity (Human Biosecurity Emergency) (Human Coronavirus with Pandemic Potential) (Emergency Requirements—Public Health Contact Information) Determination 2020 (Cth) and exposure draft of Privacy Amendment (Public Health Contact Information) Bill 2020 provide important protections. Nevertheless, we make a series of recommendations that would improve the transparency of the scheme and better protect the privacy of those downloading and using the app.
LibGuides: Passwords and Two-Factor Authentication: Randomly Generating Passwords

This guide goes into more detailed looks at passwords, password managers, and two-factor authentication. Tips and tools for randomly creating passwords.
Motion Based Online Calibration for 4D Imaging Radar in Autonomous Driving Applications

This paper proposes a motion-based online extrinsic calibration algorithm for a 4D automotive radar, which can also be applied on a 3D radar for its azimuth alignment and position estimation. The process does not require any calibration jig. The algorithm contains two steps with radar measurements and ego-vehicle's motion parameters as inputs. The first step calculates radar's mounting angles (both elevation and azimuth for a 4D radar), based on which the second step calculates the position of the radar on x- and y-axis of the ego-vehicle. Real world measurements collected by a 3D radar and motion sensors are used for the estimation. Comparing the results with reference values provided by a laser rangefinder shows that the algorithm has a good performance.