Reviewerly/exHarmony huggingface dataset:
Amyloid deposition in a patient with the complex Gaucher disease/Parkinson disease

We study the limit behaviour of upper and lower bounds on expected time averages in imprecise Markov chains; a generalised type of Markov chain where the local dynamics, traditionally characterised by transition probabilities, are now represented by sets of ‘plausible’ transition probabilities. Our first main result is a necessary and sufficient condition under which these upper and lower bounds, called upper and lower expected time averages, will converge as time progresses towards infinity to limit values that do not depend on the process' initial state. Our condition is considerably weaker than that needed for ergodic behaviour; a similar notion which demands that marginal upper and lower expectations of functions at a single time instant converge to so-called limit—or steady state—upper and lower expectations. For this reason, we refer to our notion as ‘weak ergodicity’. Our second main result shows that, as far as this weakly ergodic behaviour is concerned, one should not worry about which type of independence assumption to adopt—epistemic irrelevance, complete independence or repetition independence. The characterisation of weak ergodicity as well as the limit values of upper and lower expected time averages do not depend on such a choice. Notably, this type of robustness is not exhibited by the notion of ergodicity and the related inferences of limit upper and lower expectations. Finally, though limit upper and lower expectations are often used to provide approximate information about the limit behaviour of time averages, we show that such an approximation is sub-optimal and that it can be significantly improved by directly using upper and lower expected time averages.
A Management System for Electric Wheelchair Considering Agile-Kanban Using IoT Sensors and Scikit-Learn

High quality electric wheelchairs can support handicapped persons to move freely in home, work, or hospital settings. However, the electric wheelchairs require a high standard of maintenance for safety. For this reason, we propose a wheelchair management system that can manage electric wheelchairs using Agile-Kanban. Agile is a technique to develop software and manage work efficiency. Kanban is a method to support Agile development. In this work, we design and implement a Wheelchair management system considering Agile-Kanban using IoT sensors and Scikit-learn. Our proposed system can manage the electric wheelchairs efficiently. We present the design and implementation of the proposed system and show that it can measure a wheelchair’s states and activities. In addition, we investigate the timing of changing batteries for the electric wheelchair with Scikit-learn.
What and When Should We Teach Korean Modern and Contemporary History in Middle and High School?

Academic achievements can be a valid channel in selecting and seeking ways to integrate modern and contemporary Korean history education, which is highly controversial. This paper is about the selection of Content elements and Sequence of Korean Modern and Contemporary History education in middle and high schools by quantitatively approaching academic achievements, not in terms of perspective about the past.BR In order to deliver the past to students in a limited time, education should be centered on issues that are more important to understand the past. So, what is the past that scholars consider important? If researchers judge that any event or phenomenon is important in understanding the past, the event must be studied more frequently, by more researchers. So, in the title of 27,000 research papers on modern and contemporary Korean history since 1958, 290 content elements for history education in secondary school were selected based on nouns and proper nouns that have appeared more than 10 times. Since the modern history of Korea is relatively short, one event is often linked to a number of events. So, in this paper, considering repeatability, I tried to make sequence centering on the connection between 290 selected content elements.BR Although the results of the analysis may differ from the existing content elements and the method of sequence, I hope that the academic and educational circles will help to discuss ways to select content elements and make sequence for the education of modern and contemporary history in middle and high schools.
Mapping the Prevalence and Distribution of Crime within University of Lagos Using Geographic Information System

Akoka campus) between 2012-2015 using Geographic Information System. Specifically,it mapped and classified the security posts, examined the spatial and temporal pattern ofcrime as well as the factors responsible for the observed pattern. The data utilized for thestudy entails spatial and non-spatial data acquired through surveys conducted to identifythe location of security post and crime incidents and existing University of Lagos mapand database of the Security department of the University. The study revealed that thereare 81 security posts and 6 security zones within the University. Depicting a clustereddistribution pattern, 66 of these security posts were classified as functional while 15 wereclassified as non-functional. The study also revealed that a total of 2,012 crime incidentswhich were categorized into 18 groups were reported to have occurred between 2012-2015 in the University. While Larceny (1,025) was discovered to be the most prevalentcrime, Zone B (601) was discovered to be the zone with the highest crime rate and 2015(700) the year with highest crime incidents. The factors responsible for the observedcrime pattern include high student population, proximity and easy access to neighbouringcommunities, and remoteness and low human traffic. With the identification of crimesusceptible zones using GIS as demonstrated in this study, it is recommended that theUniversity of Lagos security department adopt the use of GIS especially for the siting ofsecurity posts and allocation of personnel to aid crime management.
Study on the Management Plan for the Preparation of Chemical Terrorism in Multi-use Facilities

현대 사회는 과거의 테러성향과는 다른 불특정 다수를 대상으로 하는 소프트 타깃의 형태로 테러의 패러다임이 전환되고 있으며 화학물질을 이용한 테러가 빈번하게 일어나고 있다. 이에 본 연구에서는 다중이용시설에 국한하여 피난환경 및 특성, 테러대응 매뉴얼 분석, 국내 화학물질 관리 현황을 분석하여 다중이용시설 화학테러 대비를 위해 다음과 같은 관리방안을 제안하였다. 첫째, 복잡한 다중이용시설 공간에 대비하여 테러발생 시 신속한 현장대응을할 수 있도록 다중이용시설의 정보를 사전에 파악할 수 있는 가이드라인을 제시하고 등급에 따른 관리를 제안하였 다. 둘째, 테러대응 매뉴얼의 취약점을 분석하고 화학테러의 유형 및 특성을 사전에 파악하여 화학테러에 신속한 대응을 할 수 있도록 화학테러에 사용할 가능성이 있는 물질들을 선별하는 방안을 제안하였다. 셋째, 선별된 화학물질을 대상으로 사회적 관심물질과 같은 용어제정을 통해 통합 관리해야하는 필요성을 제안하였다. 이를 통해 다중이용 시설 화학테러 대비를 위한 개선방안이 추가적으로 마련될 것으로 보여 지며, 추후 국외 사례를 통한 문제점 분석과 이를 통한 맞춤형 대책을 강구해야 할 것으로 사료된다.In modern society, the paradigm of terrorism is shifting to the form of soft targets focusing on an unspecified number of people, which is different from previous terrorist tendencies, and frequent attacks using chemicals. Therefore, this study analyzed the evacuation environment and characteristics, manual analysis of a terror response manual, and the domestic chemical management status of multi-use facilities, and proposed the following management measures for chemical terror prevention in multi-use facilities. First, a multi-use facility guideline for prompt onsite response is proposed. Second, an improvement plan is suggested through the analysis of the manual for counter terrorism. Third, integrated management is proposed through the selection of chemicals available for terrorism. Through this, it is expected that an additional improvement plan will be prepared for countermeasures against chemical terrorism in multi-use facilities. In the future, it will be necessary to analyze the problems through cases of foreign countries and take customized countermeasures.
Efficient Local Comparison Of Images Using Krawtchouk Descriptors

It is known that image comparison can prove cumbersome in both computational complexity and runtime, due to factors such as the rotation, scaling, and translation of the object in question. Due to the locality of Krawtchouk polynomials, relatively few descriptors are necessary to describe a given image, and this can be achieved with minimal memory usage. Using this method, not only can images be described efficiently as a whole, but specific regions of images can be described as well without cropping. Due to this property, queries can be found within a single large image, or collection of large images, which serve as a database for search. Krawtchouk descriptors can also describe collections of patches of 3D objects, which is explored in this paper, as well as a theoretical methodology of describing nD hyperobjects. Test results for an implementation of 3D Krawtchouk descriptors in GNU Octave, as well as statistics regarding effectiveness and runtime, are included, and the code used for testing will be published open source in the near future.
A Study on the Impact of the Teaching Competence Enhancement Project on Primary Schoolteachers in Uganda: The Establishment and Operation of the Professional Learning Community

연구목적: 이 연구는 한국의 교육개발협력 NGO가 수행한 개발협력 사업 중 우간다 북부지역 초등교사 교수역량강화사업이 교사효능감 및 교사만족도에 미치는 영향을 분석하는 데 있다. 연구의 중요성: 교육개발협력 사업에서 교사는 교육 변화를 이끄는 중요한 요인임에도 불구하고 이에 대한 효과를 분석한 연구는 미비하였으며, 교사의 정의적 영역인 교사효능감, 교사만족도가 학생의 학업성취, 학교문화 변화 등 학교 교육의 전반적인 변화를 이끄는 요소라는 점에서 중요성을 가진다. 연구방법론: 본 연구는 교수역량강화사업에 참여한 학교에 속한 교사 190명을 대상으로 집단별 평균 분석(t-test)을 통하여 집단 간 차이를 확인하고, 이중차분모형(DID)을 적용하여 교사학습역량강화 사업에 대한 고유한 효과를 분석하였다. 연구결과: 사업에 참여한 집단별 교사효능감, 교사만족도에 유의한 차이가 있는 것으로 나타났다. 또한, 정책에 영향을 미치는 교사 및 학교(공변인)를 통제하여 분석한 결과 학생에 대한 교사효능감, 교육환경관리 효능감, 교직에 대한 만족도가 정적으로 유의하였다. 결론 및 시사점: 본 연구는 첫 번째, 교사의 자발성에 기초한 교수학습역량강화사업이 교사전문성에 영향을 주었음을 알 수 있다. 두 번째, 교사학습공동체는 개도국 내 교사가 학교에 대한 소속감, 공동체성을 길러주는 역할을 수행하고 있음을 알 수 있다. 따라서, 교사학습공동체를 통하여 교사전문성이 신장될 수 있는 방향으로 진행되어야 한다.Objectives: This study aimed to analyze the impact of the teaching competence enhancement project on teachers’ efficacy and teachers’ satisfaction in northern Uganda primary school, implemented by Korean Educational Development Cooperation NGO. Originality: School teachers are important factors that lead to educational changes in the education development cooperation project, there has been very little discussion on analysis of its effects. It is important that teachers’ satisfaction, which is the affective domain of teachers, is the factor that drives overall changes in school education, such as students academic performance and changes in school culture. Methods: This study identified differences through the average analysis between groups (t-test) of 190 teachers for each school who participated in the teaching competence enhancement project and analyzed the unique effect of teaching competence enhancement project by applying the Difference-In -Difference Model. Results: There are significant differences in teacher efficacy and teacher satisfaction among groups involved in this project. After controlling the teachers and schools that affect policy, the analysis also pointed the statistical significance of teacher efficacy, educational environment management efficacy, and teaching satisfaction. Conclusions and Implication: Regarding the project to enhance teaching competence, teacher s spontaneity influenced teacher professionalism. Second, the professional learning community showed that teachers in developing countries play a significant role in fostering a sense of belonging and community in schools.
A dataset for connecting similar past and present causalities

In this data article, we present a dataset that includes past causalities and categories to connect similar past and present causalities. First, we collect past causalities by referencing certain well-known Japanese high-school textbooks. Subsequently, we select 138 causalities that are useful for analogizing from the causalities to considering solutions for confront present social issues. To enhance the analogy, we describe each causality in three contexts: background including problems, solution methods, and their results. We define 13 categories based on the selected causalities and Encyclopedia of Historiography. The past causalities belong to more than one category. In addition, to train machine learning models including classifier, we collect 900 past events from Wikipedia, and assign one or more categories to the past event data. We perform statistical analyses to understand the quality of the dataset. The proposed applications of the dataset include training machine learning models such as classifiers for past causalities and information retrieval for ranking present social issues according to the similarities between the present and past causalities.
Control of Objects with Positive Feedback

The work focuses on the study of control systems of objects with positive feedback (recycle). The classification of objects with different types of recycle was proposed: objects with recycle “by concentration”, objects with recycle “by mass”, objects with recycle “by parameters”. The control algorithms of these types of objects with positive feedback were developed. The numerical studies of control systems of objects with positive feedback were conducted. Conclusions about the effectiveness of development were formulated.
The method of structural schemes transformation

Abstract The structures of modern automatic control systems often have many contours. The method of structural schemes automated transformation to obtain the transfer functions of the system with an arbitrary combination of external input and output actions of the blocks has been proposed. The inputs of the blocks are connected to the outputs of the previous blocks. Therefore, the analysis of output actions is simultaneously considered to be the analysis of input actions. But there is also a need to analyze separately the actions at inputs and outputs of the blocks. The result of the manipulation is matrix of transfer functions of the system. It can be for outputs and inputs of blocks’ actions. The presented method can be used in the controllers’ synthesis.
Unsupervised generation of artistic representations

While deep neural networks excel at a variety of visual tasks, obtaining large quantities of labeled data remains exorbitantly expensive or time-consuming, especially when it comes to pairs of photos and their artistic representations. To overcome the burden of annotation, various solutions exploiting the unlabeled data have been proposed recently. In this paper, we present a novel approach to the unsupervised domain adaptation problem, allowing us to successfully generate avatars from photos. Assembling a system of several neural networks, including a Generative Adversarial Network (GAN), fully trained on unlabeled data, we researched the influence of various factors on the GAN training process and eventually built a system superior to current analogues. In contrast to the existing unsupervised domain adaption approaches, the proposed solution is highly flexible, which allows tuning of individual elements of the system to achieve different visual results. During the user study, we evaluated the performance of the proposed method and found results close to the human level quality.
HateMonitors: Language Agnostic Abuse Detection in Social Media.

Reducing hateful and offensive content in online social media pose a dual problem for the moderators. On the one hand, rigid censorship on social media cannot be imposed. On the other, the free flow of such content cannot be allowed. Hence, we require efficient abusive language detection system to detect such harmful content in social media. In this paper, we present our machine learning model, HateMonitor, developed for Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC), a shared task at FIRE 2019. We have used a Gradient Boosting model, along with BERT and LASER embeddings, to make the system language agnostic. Our model came at First position for the German sub-task A. We have also made our model public at this https URL .
Design of a Web Tool to Support Language Therapy for Children with Cleft Lip and / or Palate

For support in language therapy, it is of great benefit to rely on innovative tools that help therapists, phoniatrists or parents in this important task such as speech. This paper describes the development of a Web tool to support language therapy based on cleft palate and cleft palate considerations, through games. For the development of this Web tool, it relied on methods and techniques provided by Software Engineering, specifically the agile Extreme Programming methodology, which guaranteed its quality. The main result is a Web tool, which contains a set of games for support in language therapy. This Web tool is accessible through any computer connected to the Internet, which will allow reaching more people so that from any place and at any time, they can support language therapy.
PACKUARIUM: Network Packet Visualization Using Mixed Reality for Detecting Bot IoT Device of DDoS Attack

This paper proposes a method of network packets visualization using mixed reality technology. The purpose of this visualization is to detect an IoT device that has been altered into a “bot” which performs DDoS attack. To achieve the objective, our solution addresses the following core concerns: (1) to clearly realize unusual situation that DDoS attack is happening, (2) to easily find which device is performing as a bot of DDoS attack, and (3) to immediately notice the beginning of DDoS attack in real-time. This paper introduces a visualization system that implements the above proposed method and presents some preliminary evaluation results.
Perangkat Lunak Copyright Protection Design Gambar

The rapid development of internet technology has become an opportunity by irresponsible individuals to abuse a digital image, for example taking copyrights belonging to other people and carrying out illegal distribution. Most of what is circulating on the internet is digital image where the owner of the image does not include ownership information, so that the digital image can be claimed by anyone as hers. Digital image copyright protection techniques are by means of watermarking that is inserting digital fingerprints in the form of digital images. There is watermaking which can be seen and some that cannot be seen by human senses. Watermaking is also able to withstand various attacks that intend to eliminate the information that has been inserted. The form of research conducted by researchers is a quasi-experiment with data collection techniques of literature studies, interviews and observations. The design method used is Rapid Application Development with several stages of application development, namely Business Modeling, Data Modeling, Pricess Modeling, Application Generation and testing using the BlackBox method. To answer the need for copyright protection, watermaking technology is used to protect copyright in data and information. The results of this design are watermark software. This software implements the Discrete Cosine Transform (DCT) method and is designed using Visual Basic.Net. Watermark software can do the watermarking process. The test results show that the watermark insertion and extraction process runs well so that it can protect the design of images from misuse of digital image.
Recovering Tech's Humanity

This Columbia Law Review Forum Essay is an invited response to Tim Wu's Article, Will Artificial Intelligence Eat the Law?. The authors of both presented the ideas in their respective papers at a Columbia Law Review symposium in Spring 2019 on Common Law for the Age of AI. The big tech firms, policymakers, and courts are poised to reform the ways in which they govern social media content. The proposed changes, as varied as they are, will one way or another allocate responsibility between the stakeholders in new ways. This Essay argues, among other things, that any such reforms should not treat social media applications as pristine speech platforms for earnest democratic debate. Rather, in recognition of the work of many scholars, including Wu’s own impressive work, it asserts that reform should address social media companies as commercial enterprises whose priority is to maximize user attention and engagement for advertisers. It is for this reason, the Essay asserts, that policymakers should reject efforts to defer to the companies’ own automated decision-making systems for moderating content. These technologies are just one asset in the political economy and industrial designs of social media. They have not yet displaced the vital role that human labor and human incentives play. It is for this reason that it is far too soon to write off untested but extant resources in law.
Layered RGBD Scene Flow Estimation with Global Non-rigid Local Rigid Assumption

RGBD scene flow has attracted increasing attention in the computer vision community with the popularity of depth sensor. To accurately estimate three-dimensional motion of object, a layered scene flow estimation with global non-rigid, local rigid motion assumption is presented in this paper. Firstly, depth image is inpainted based on RGB image due to original depth image contains noises. Secondly, depth image is layered according to K-means clustering algorithm, which can quickly and simply layer the depth image. Thirdly, scene flow is estimated based on the assumption we proposed. Finally, experiments are implemented on RGBD tracking dataset and deformable 3D reconstruction dataset, and the analysis of quantitative indicators, RMS (Root Mean Square error) and AAE (Average Angular Error). The results show that the proposed method can distinguish moving regions from the static background better, and more accurately estimate the motion information of the scene by comparing with the global rigid, local non-rigid assumption.
Performance Analysis of Monthly Averages Solar Radiation Estimation Models for Teknaf Bangladesh

To establish solar based renewable energy technology, it’s important to evaluate the accurate solar radiation data of particular location due to solar power plant output depend on solar radiation. In this study, Calculating solar radiation in Teknaf area of Bangladesh by using last five year’s monthly average temperature and sunshine hour’s collected from the Teknaf station under Bangladesh Meteorological Department, Dhaka. However, Maximum weather station of the Bangladesh Meteorological Department cannot record direct solar radiation data. To estimate monthly average solar radiation, several equations were considered which is developed based on Temperature and Sunshine hours. Evaluated the performance of this equation done by applying the statistical analysis to select the suitable model for considering the location. Finally comparative studies between the estimated monthly average solar radiations and collected data from National Aeronautics and Space Administration (NASA) surface meteorology and Solar Energy (SSE) that have record the global solar radiation on the horizontal surface, measured from the orbiter. The result shows that sunshine hour’s methods provide better performance than temperature methods and Samuel and Ogelman et al. sunshine hour’s based models are appropriate for Teknaf because of better statistical model performance analysis.
ESSENTIAL CHARACTERISTICS OF SOCIAL AND LEGAL COMPETENCE OF FUTURE ENGINEERS AT TECHNICAL UNIVERSITY

The article considers the problem of the formation of socio-legal competence of future engineers. For this, the basic concepts of competence, key competencies, professional competence, social competence and legal competence are analyzed. Based on the analysis of various approaches to the definition of these concepts, a concept is proposed - social and legal competence. Social and legal competence is considered as an integrative personality trait of future engineers, which covers a system of social and legal knowledge and skills, constructive social attitudes, experience of legal socialization, professionally important qualities necessary for professional activities and social interaction.