Reviewerly/exHarmony huggingface dataset:
Onward ! Another #GoogleWalkout Goodbye - Google Walkout For Real Change - e-traces

In April, two of the organizers of the Google Walkout, Meredith Whittaker and Claire Stapleton, came forward with the stories of the retaliation they've faced as a result of speaking out at the…
Use cases for Differential Privacy with tiered access to restricted data

Presentation to the Use Cases Workshop of the OpenDP Community Meeting, describe in more detail at https://projects.iq.harvard.edu/opendp.
A STUDY ON IMPACT OF INTERNET OF THINGS ON BUSINESS

The world is moving forward at a fast pace, and the credit goes to ever growing technology. One such concept is IOT (Internet of things) with which automation is no longer a virtual reality. Internet of things (IoT) - the new paradigm has a great impact on different areas of business and its main aim is to make our life easier and more comfortable. The Internet of Things is a key part of the Future Internet. The Internet of Things, also known as ambient Technologies or Embedded Systems, is a global system of IP-connected computer networks, sensors, actuators, machines, and devices, merging this physical world with the virtual world of the Internet. Many new opportunities can be foreseen for businesses. IoT technologies will make it possible for business leaders to understand what is happening in the world more deeply. By infusing intelligence into systems and processes, businesses will be able to not only do things more efficiently, but to improve customer satisfaction, to discover new business opportunities, and to anticipate risks and threats so they can better deal with them. The article aims to present its main applications in different spheres of our life, the main advantages, development trends, problems and challenges that need to be addressed.
Topological recursive fitting trees : A framework for interpretable regression extending decision trees

Many real-world machine learning applications need interpretation of an algorithm output. The simplicity of some of the most fundamental machine learning algorithms for regression, such as linear r ...
Soil texture judgment based on digital experimental field

Abstract At present, it is very common to use Mastersizer 3000 to detect soil texture, which can be detected by dry method and wet method. In order to distinguish the consistency of the results of the two detection methods, the dry method and the wet method were used to test 8 samples from the pot experiment, and each sample was tested repeatedly for 3 times. The results were averaged. The content of clay ( &lt; 2 μm) and sand (50-2000 μm) in dry method was lower than that in wet method in all samples. The particle size distribution of dry method and wet method was significantly correlated, with a determination coefficient R2 of 0.9222. Therefore, in this project area, the model can be used to simulate the particle size distribution range of wet method and determine the mechanical composition.
Committees: Proceedings of the International Conference on Microelectronics, Signals and Systems 2019

First Page
People counting using detection networks and self calibrating cameras on edge computing

The deep learning research is more and more focused on the development of specific application that are both effective and efficient, together with the software progress also the hardware research is starting to aim at building embedded devices able to run deep neural networks without using big servers. In this perspective this thesis, developed in Addfor, is aimed at building a software for people counting on an embedded device. The motivation for this choice is to obtain an autonomous and versatile software avoiding all the privacy issues. Regarding the hardware choice, two main edge devices has been considered, the Google Coral dev board and the NVIDIA Jetson nano, they are compared in terms of inference speed and flexibility using a lot of different neural networks. The results suggested the choice of the Jetson nano that is more powerful when it comes to perform inference with complex networks. In order to deploy neural networks on this device they also have to be optimized, so a specific optimization procedure has been carried out using the TensorRT library. The core of the project is the definition of a model that is able to detect and count a great number of people from a single high resolution image. The model is based on a convolutional neural network built to perform object detection, this means that the network is able to detect and localize multiple instances of specific objects in an image. Than it has been trained using a case-specific private dataset, provided by Addfor, consisting in indoor images of classrooms with an high average number of people. One of the main issues that has to be faced regards the number of people, it is way higher than the number of instances that a neural network is usually trained to detect, for this reason has been developed an algorithm than partitions the original images and reconstructs the final result merging the detection of partitioned images and eliminating the duplicates. To improve the effectiveness and efficiency of the project three computer vision problem are addressed: The computation of the vanishing point, that provides useful information on the room geometry enabling the use of contraints on the dimensions of the detected people. The computation of the optical flow, that is a technique used to find the zones where there is movement, in this way the useless part of the image are eliminated. The matching of multiple cameras, it is useful in case of rooms that needs the use of more than one camera, it aims at eliminating the part of the image that are seen from the other camera to improve the efficiency and avoid duplicates. The resulting software is able to detect people with a good accuracy of over 80% and considering only the people number it reaches an accuracy of more than 95%, the software is also able to perform an inference in less than 15 seconds and this value is lowered up to 10 seconds using the information provided by the optical flow and the matching.
Can You Traverse It?

If we consider that “creating architecture, as viewed from our area of interest, consists in the production of three-dimensional inhabitable figures” (Burgaleta ) and we center our teaching around that fact, we will eventually be in need of some sort of procedure to provide our apprentices with the tools to verify that the spaces they produce – said three dimensional figures – are inhabitable.In this paper we relate a sequence of classes we setup as an extended assignment. Apprentices are initiated in (1) the production of three-dimensional spaces using cheap, open and conventional graphical techniques – which have low complexity and favor imaginary exploration of space – and (2) the actual validation of the produced space habitability through interactive immersion.We favor a working scheme based on the intersection of traditional and digital graphical techniques to facilitate the creative process.The outlined validation procedure is accessible, easy and does not get in the way, that is: it has a small learning curve that enables its use by apprentices with very little previous knowledge of 3D applications. In this way, they can concentrate on the production of three-dimensional spaces without the associated complexity of realistic rendering and set up of interactive 3D simulations.
Hiding encrypted text in image steganography

A mobile phone widely used nowadays and becomes more powerful than a computer for a few years. It can do the same function that a computer can do. Day after day the mobile phone has developed and become more important, but the confidential information remains to keep the challenge of security. This paper proposes a method for keeping the information by hiding text in an image. The proposed method increases randomization depending on the random key. It enhances security via encrypting the covered image with the key. The proposed method implemented by Java Platform Micro Edition (J2ME), since it supports a lot of APIs and features to mobile applications.
August 2019 Forum

Director's update: announcing TCDL 2020, TDL Reboot, Loryn's farewell. Services and Projects updates:OJS, DSpace, Vireo. Community updated: upcoming web archiving at Baylor, new webinar on Linked Data, SAA, Open Education Texas, cross timbers library collaborative.
[Epidemic situation of malaria in Dalian City from 2005 to 2016].

To describe and analyze the epidemiological characteristics of malaria in Dalian City, so as to provide the evidence for adjusting and formulating malaria control strategy and measures, being in accordance with the practical situation in Dalian City.The data of malaria cases in Dalian City from 2005 to 2016 were collected from China Diseases Surveillance Information Reporting Management System (DSIRMS), to describe and analyze the epidemiologic characteristics of malaria in Dalian City.A total of 143 malaria cases were reported in Dalian from 2005 to 2016, including 115 laboratory diagnosed cases, 27 clinically diagnosed cases, and 1 suspected diagnosed case. Among the 115 laboratory diagnosed patients, 65 patients were infected with Plasmodium falciparum, 19 were infected with P. vivax, and 15 had mixed infection, 4 were infected with P. ovale, 3 were infected with P. malariae, and 9 were unclassified. All the cases were imported, 127 were imported from Africa, accounting for 88.81%, mainly were imported from Equatorial Guinea, Liberia, Ghana and Nigeria. Most of the cases were imported from May to October, accounting for 58.74% (84/143), and the imported cases emerged a small peak in August. The ratio of males to females was 10∶1, and the median age was 42 years. Among the total cases, fishermen, migrant workers, and work-man accounted for 55.24% (79/143). Seventy-five patients lived in rural districts, and 68 patients lived in urban districts. The median interval from backing to China to disease onset was 8 days. The proportion of disease onset within one month after backing to China was 76.27% (90/118). The median interval from disease onset to diagnosis was 4 days, and the longest interval was 71 days. Totally 141 patients were cured and 2 died.In order to avoid malaria death, we should strengthen the malaria prevention and control, especially in rural districts, enhance the training for professionals in the county health facilities, and the surveillance and health education for those who are returned from malaria-endemic areas.[摘要] 目的 分析大连市疟疾疫情及其流行病学特征, 为调整和拟订适合该市的疟疾防控策略和措施提供科学根据。 方法 以 2005–2016 年中国疾病预防控制信息系统疟疾疫情报告资料为数据源, 描述和分析大连市疟疾疫情流行病学 特征。结果 2005–2016 年大连市共报告 143 例疟疾病例, 其中实验室确诊病例 115 例、临床诊断病例 27 例、疑似病例 1 例, 实验室确诊病例包括 65 例恶性疟、19 例间日疟、4 例卵形疟、3 例三日疟、15 例恶性疟原虫和间日疟原虫混合感染、9 例未分型病例。在全部疟疾病例中, 非洲输入性病例 127 例, 占 88.81%, 病例输入较多的国家依次为赤道几内亚、利比里 亚、加纳和尼日利亚等; 5–10 月输入性病例数占全部病例数的 58.74% (84/143), 输入性病例在 8 月出现一个小高峰。143 例疟疾病例中, 男女比例为 10∶1, 中位年龄 42 岁, 在务工当地从事渔民、民工、工人等职业的病例占病例总数的 55.24% (79/143) ; 75 例来自农村地区, 68 例来自城市地区; 病例自回国到发病中位时间为 8 d, 回国后 1 个月内发病病例数占 76.27% (90/118) ; 病例从自觉发病到确诊为疟疾的时间间隔中位数为 4 d, 间隔时间最长达 71 d。141 例病例经规范足量 药物治疗后痊愈, 2 例死亡。结论 今后要加强大连市农村地区的疟疾防控, 继续加强县级医疗机构培训, 并加强对从 境外疟疾流行区归国人员的疟疾监测和健康教育宣传, 避免发生死亡病例。.
SIV: Raise the Correlation of Second-Order Correlation Power Analysis to 1.00

The major factors that determine the performance of the second-order correlation power analysis (SOCPA) include the accuracy of the power model and the correlation between the hypothetical intermediate value and preprocessed power consumption. Because of the tradeoff between the accuracy and correlation, the correlation coefficient of the general SOCPA using 8-bit SubBytes output is only up to 0.35. Therefore, based on the operational characteristic of the cryptographic algorithm, we propose to find a special intermediate value, called sparse intermediate value (SIV). The SIV significantly improves the performance of the SOCPA because it accurately models the power consumption while the correlation coefficient is 1.00. Further, the experimental results on OpenSSL advanced encryption standard (AES) show that the SIV-based SOCPA can disclose the entire secret key with only about a quarter of the power trace required by the general SOCPA.
The Information Retrieval Model for Computer Crime Evidence Based on Domain Ontology

To deal with the characteristics of current information retrieval model for computer crime evidence which is limited to keyword matching, this thesis proposes aninformation retrieval model for computer crime evidence based on domain ontology through an organized method of domain ontology. This model accepts user's evidence retrieval requirements natural language input. By calculating the correlation and similarity between words and ontology concepts, mapping retrieval words to knowledge is achieved. On this basis, the query semantic expansion of user forensics needs is realized further. The experimental results showed that proposed evidence retrieval method obtained better retrieval results overcoming the shortcomings of keyword matching search of the traditional information retrieval method.
Effectiveness in Implementing Automated Computer Aided-Design to the Drafting Students

In this world, pool of skyrocketing innovations upon which people now are very dependent, became a really easy-life mode for us in such a way that things got easier to be created, manipulated and produced with lesser time and manual working. This is all because of the great people whom already contributed their inventions that made lives effortless. From the invention of the first computers up to this times well-known iPhones, from the black and white screens up to the plasma, touch screens and sound censored ones, and from the lacking-ability software up to what we are using now – the advance and still on the running in becoming more and more advance ones; is a real life changing event in the lives of everyone. CAD system is one of these software that made the architectural and engineering works easier. Keywords: industrial companies, technology, design and engineering fields, etc.
LibGuides: Beyond FDLP.gov: Collections

This guide includes non-GPO resources useful to staff managing Federal depository operations and services.
The codes in some non-semisimple dihedral group algebras and their properties.

In this paper, the group codes, i.e., left ideals, in the non--semisimple dihedral group algebra $\mathbb{F}_qD_{2n}$, $gcd(q, n)=1$, are studied. In order to do this, we consider one generalization of Wedderburn decomposition of $\mathbb{F}_qD_{2n}$. In particular, for every dihedral code its dual code is algebraically described. In addition, the bases, generating and check matrices of the dihedral codes are explicitly constructed. Some connections with the theory of cyclic codes are established. Finally, for dihedral codes some results about code parameters are obtained and several illustrative examples are considered.
LibGuides: How to Use Interlibrary Loan: Home

This guide will help you determine whether Interlibrary Loan is the right choice as well as create an Interlibrary Loan request.
Significance of Managing Liberal Arts Courses in University Liberal Arts - The Big Question of Life: Focusing on Lectures about Life

초록 · 키워드 목차 오류제보하기 In this paper, we presented the case of operation of a course, namely the "Big Question of Life: Life", developed by Hallym University"s Innovation Course of Liberal Arts, and examined the significance of the Learner-centered Liberal Arts course. This course is a topic-oriented literacy course such as "Life", "Love", "Enjoy". It is designed to grow into a mature university through the process of self-discipline, reading and discussing classical text, and digital literacy-based hypertexts in humanities, social science, and natural science with the key questions that can provide certain insight into the nature of life. Reading Classics-Literacy-Based Texts, Applying Digital Literacy-Based Hypertexts, Discussing of Collective Intelligence on Life Questions, and Writing My Life Record Project, which were used as key devices in "Big Questions: Life" lectures, were found to have educational effects in university liberal arts education. #Big Question of Life: Life #Classic-Literacy-Based Hypertext Application #Discussion of Collective Knowledge of Life Questions #Production of My Life Record Project #a learner-centered lecture on Riberal Arts 1. 문제제기2. 대학 교양교육에서 리버럴아츠형 강좌 개설과 운영 의의3. ‘삶의 큰 질문: 인생’ 강의 운영의 실제4. 결론References
UMP should seriously look into Artificial Intelligence development as future driver of tertiary education Chancellor

The Chancellor of Universiti Malaysia Pahang (UMP) and the country’s reigning King, His Majesty Seri Paduka Baginda The Yang di-Pertuan Agong Al-Sultan Abdullah Ri’ayatuddin Al-Mustafa Billah Shah Ibni Almarhum Sultan Haji Ahmad Shah Al-Musta’in Billah, has urged the university to place more emphasis on the development of Artificial Intelligence (AI) as one of the future drivers of tertiary education.
Research Guides: File Naming Best Practices: Best Practices for File Naming

This guide covers the basic practice of implementing a file naming system for your research
Election Manipulation 100

The true election margin for an Instant Runoff Voting (IRV) election can be hard to compute, because a small modification early in the elimination sequence can alter the outcome and result in a candidate winning the last round by a large margin. It is often assumed that the true margin is the last-round margin, that is half the difference between the two candidates who remain when everyone else is eliminated, though it is well known that this need not be the case. Perceptions of confidence in the outcome, and even formal policies about recounts, often depend on the last-round margin. There is already some prior work on how to compute the true election margin efficiently for IRV, and hence how to find the minimal manipulation. In this work we show how to manipulate an election efficiently while also producing a large last-round margin. This would allow a successful manipulation to evade detection against naive methods of assessing the confidence of the election result. This serves as further evidence for accurate computations of the exact margin, or for rigorous Risk Limiting Audits which would detect a close or wrong election result (respectively) regardless of the last-round margin.
LibGuides: English1A Egan: Evaluating the Web

Research Guide for Prof. Egan's English1A Class Guidelines for evaluating and searching the Internet
Language Learning Strategies of English Education Department Students at Universitas Sintuwu Maroso

The objectives of this research are to find out politeness strategies used by Joe Louis Clark and the students in the Lean on Me movie and to find out the dominant types of politeness strategy used by Joe Louis Clark in the movie. This research uses descriptive qualitative approach. The data were in the form of utterances which contains politeness strategies. The data source is Lean on Me movie script. The data are collected by note-taking technique which were later classified and analyzed under the theories of Brown and Levinson (1987). The result of this research shows that there are four types of politeness strategies used by the main characters in Lean on Me movie when having conversation with the students and teacher. The politeness strategies were Bald-on record strategy, Positive politeness strategy, Negative politeness strategy, and Off record strategy (12). Positive politeness strategy has the highest frequency among other strategies since the dialogues are among teacher and students. Keywords: politeness interaction, interaction among teacher and students, positive politeness strategy
The Future of E-book Compared with Textbook in Educational Setting in Kuwait

E-book is one of the educational technology tools that may affect the learning and make it faster and easier.A lot of reasons prevent the instructor from dealing with E-book.The barrier is fact of limited technical instruments available to the teachers.The second barrier is the lack of time and technical background knowledge and the fact that not all subjects are suitable for teaching by E-book as well as location appropriateness The purpose of the study is to examine the acceptance of teachers in using Ebook and utilizing it in the learning environment in Kuwait educational setting.Quantitative data collected through surveys that conducted with teachers who are actively working with E-book in the classroom setting.The participants in this study are 48 high school teachers.This study found that most teachers belief and willing to use E-book in their classrooms, but there are some other reasons prevent them.
LibGuides: K-12 Remote Learning: News and Media Coverage

This libguide covers research, resources, and media coverage on K-12 remote learning during the COVID-19 pandemic school closures. It is aimed at families and educators in Illinois and Missouri.
Notes on contraposing conditionals

The contraposing conditional 'If A then C' is defined by the conjunction of A > C and ~C > ~A, where > is a conditional of the kind studied by Stalnaker, Lewis and others. This idea has recently been explored, under the name 'evidential conditional', in a sequence of papers by Crupi and Iacona and Raidl, and it has been found of independent interest by Booth and Chandler. I discuss various properties of these conditionals and compare them to the 'difference-making conditionals' studied by Rott, which are defined by the conjunction of A > C and not ~A > C. I raise some doubts about Crupi and Iacona's claim that contraposition captures the idea of evidence or support.
The Missing Path: Diagnosing Incompleteness in Linked Data

Semantic Web is an interoperable ecosystem where data producers, such as libraries, public institutions, communities, and companies, publish and link heterogeneous resources. To support this heterogeneity, its format, RDF, allows to describe collections of items sharing some attributes but not necessarily all of them. This flexible framework leads to incompleteness and inconsistencies in information representation, which in turn leads to unreliable query results. In order to make their data reliable and usable, Linked Data producers need to provide the best level of completeness. We propose a novel visualization tool The Missing Path to support data producers in diagnosing incompleteness in their data. It relies on dimensional reduction techniques to create a map of RDF entities based on missing paths, revealing clusters of entities missing the same paths. novelty of our work consists in describing the entities of interest as vectors of aggregated RDF paths of a fixed length. We show that identifying groups of items sharing a similar structure helps users find the cause of incompleteness for entire groups and allows them to decide if and how it has to be resolved. We describe our iterative design process and evaluation with Wikidata contributors.
EFL Eight-Graders' Negotiatio Capacities in a Peaceful Classroom Environment

This thesis reports on a qualitative-research project in a private school in Bogota that accompanied the production of narratives by teenagers in eighth grade where they report on intra and interpersonal conflicts they faced. Within the Peaceful classroom environment, it examines the question: What do eighth-graders’ written life stories unveil about their capacity for conflict negotiation in a Peaceful classroom environment? It also aims to discover and display pupils’ negotiation capacities when facing conflicts autonomously and creatively by means of the L2 – which stands for Second Language – as a mediator. Analyzing the data, teenagers themselves become co-interpreters of their own semi-structured interviews and written life stories. The interpretive inductive approach served as the framework; findings address the interplay of learners’ negotiation capacity and their autonomy at the time of facing and solving conflicts.