Reviewerly/exHarmony huggingface dataset:
Path planning for an autonomous racecar with Rapidly-exploring Random Tree

Among the considerable technical problems that self-driving vehicles have to face, there is the path planning, that is a function for autonomous vehicles. Path planning is defined as the problem of finding a continuous collision free path from an initial configuration to a predetermined goal. In this context, the present thesis work focuses on the design and implementation of a real-time local trajectory planning method using Rapidly-Exploring Random Tree Algorithm based on Dubins curves for an AWD electric racing vehicle in different scenarios, straight, left and right bends. The key contribution of this work is to present a framework able to generate a feasible free collision path considering differential constraints for non-holonomic car-like robot and its real-time computation ability in solving the dynamic motion planning problem. As a first step, a preliminary research on motion planning techniques is carried out. Subsequently, the problem is stated, analysing the structured environment in which the race car has freedom of action. Afterwards, the methodology is defined and the final configuration, i.e. the goal, is extrapolated from the local map coming from the perception pipeline, exploiting the functionality of a LiDAR sensor mounted onto the front wing of the racing vehicle. The vehicle is considered as a three Degree-of-Freedom bicycle dynamic model and a Stanley Controller is implemented to control the lateral and longitudinal vehicle dynamics. For validation purposes, the motion planning model has been simulated by means of Mathworks SIMULINK software environment and afterwards implemented on dSpace MicroAutobox. The feasibility of the planned trajectory is also evaluated with respect to command signals for the steering and acceleration actuators featured by the retained racing vehicle. Conclusions with critical comments about the obtained results and the possible future works perspectives complete the present thesis work.
The Linguistic Structure of Persuasive Discourse on Social Media (A Study in Persuasive Language Tools)

This paper aims at studying the persuasion discourse on social networks, many of which are various and numerous, which made it impossible to contain easily, So this paper deliberately selected samples from these sites; and Twitter was selected as a case of study, because a single tweet is restricted to a number of alphabets. However, a tweeter will carefully work on selecting his words and utilize only the appropriate words that can convey his message. Therefore, the paper strictly focuses on the usages of language tools that a twitter uses to persuade a receiver with a message. And the Language strategies are one of the most prominent discourse strategies used by a sender regardless of the authenticity or non-authenticity of the content. So in order to achieve all these objectives, this paper focuses on collecting group of tweet that possesses or utilizes the language tools, and also characterized with a politely suitable content. However, the analysis of this discourse was basically a descriptive analysis, and its application has followed the process of selecting the tool, then expatiating the way the tools is utilized by analyzing how the discourse context of the tweet has achieved the persuasion. Finally This paper generally concluded that the persuasive discourse has a very dynamic structure, and that has made it more complicated to be narrowed in a very certain structure, in addition to that; senders tend to apply a more numeral and diversified methods that are renewable in accordance to the sender's style and language ability. يهدف هذا البحث إلى تحليل الخطاب الإقناعي على مواقع التواصل الاجتماعي، ولكثرة هذه المواقع الاجتماعية، وعدم إمكانية الإلمام بجميعها، فقد تعين على البحث أن يتخير نماذج وعينات من بعضها، ولذلك اختير موقع تويتر؛ لأن المغرد ملزم فيه بعدد محدد من الحروف، فيسعى جاهدا إلى تقليص عدد كلماته، ويتخير منها ما يحقق به الغرض من الرسالة، لذا كان صلب اهتمام البحث هو العناية بالآليات اللغوية التي يوظفها المغرد لتوليد إقناع المخاطب بمحتوى خطابه، وهي من أهم الاستراتيجيات التي يهدف إليها المخاطب بغض النظر عن مدى صحة المحتوى من عدمها أو صدقها من كذبها. ولتحقيق هذا الهدف، اتجه البحث إلى جمع مجموعة من عينات التغريدات، معتمدا على التغريدات التي تتوفر فيها الآليات اللغوية ووظف فيها استراتيجيات لغوية، وتكون -في الوقت نفسه- ملائمة للآداب العامة من حيث محتواها، بعيدة عن التعبيرات الساقطة. أما تحليل هذه الخطابات فقد كانت ذات سمة وصفية، بحيث يعمد البحث إلى تحديد الاستراتيجية اللغوية في الخطاب، ثم يبين كيفية توظيفها من خلال تحليل سياق الخطاب التي وظفها فيها المغرد لتوليد الإقناع. وقد خلص البحث في أبرز نتائجه العامة إلى أن الخطاب الإقناعي خطاب ديناميكي من الطراز الأول، إذ إن المرسل كثيرا ما يتوجه إلى توليد آليات متعددة واستراتيجيات مختلفة، يختارها تلقائيا طالما أن لديه قناعات بقدرة هذه الاستراتيجية على التأثير في المتلقي، بناء على ذلك يتوجه -غالبا- إلى توظيف كثير من الآليات اللغوية التي تتجدد معها البنية اللغوية للخطاب على حسب أسلوبه ومقدرته اللغوية.
Adaptive online learning for classification under concept drift

In machine learning and predictive analytics, the underlying data distributions tend to change with the course of time known as concept drift. Accurate labelling in case of supervised learning algorithms is essential to build consistent ensemble models. However, several real-world applications suffer from drifting data concepts which leads to deterioration in the performance of prediction systems. To tackle these challenges, we study various concept drift handling approaches which identify major types of drift patterns such as abrupt, gradual, and recurring in drifting data streams. This study also highlights the need for adaptive algorithms and demonstrates comparison of various state-of-the-art drift handling techniques by analysing their classification accuracy on artificially generated drifting data streams and real datasets.
Alternative Facts, Political Lies and Freedom of Expression: A Paradigm of Trump’s Administration

Abstract: Fatti alternativi, bugie politiche e liberta di espressione: un paradigma dell’Amministrazione Trump – The article discusses the peculiar relationship between truthfulness and lies in politics, with a specific focus on the Trump administration and its unconventional use of social networks (mainly Twitter). A specific attention is devoted to the analysis of the several nuances of Trump’s political speech and on the impact it has on the functioning of the US system of government. Finally, the relationship between political speech and freedom of expression is addressed, considering the existence of a sort of right to political truth.
중등교사의 ICT 활용 및 인식에 따른 하위집단 분류 및 영향요인 검증

The purpose of this study was to classify latent profiles according to the utilization and perception of ICT by Korean secondary school teachers, and to verify the influencing factors at the teacher level and school level. To this end, a multilevel latent profile analysis was performed using data from ICILS 2018 for schools and teachers. The utilization of ICT in teaching and learning included the frequency of ICT usage, experience of ICT tools, and the participation level in professional development activities. In addition, the perception of ICT use included the self-efficacy of using ICT, the recognition of the positive/negative results in the use of ICT for education, and the need for collaboration in the use of ICT. As a result of the analysis, latent profiles were classified into a low-level group (27.6%), an average group (45.1%), a high-level utilization group (14.2%), a high-level communication group (10.2%), and a high-level utilization and communication group (3.0%). As factors influencing the classification of latent profiles, teachers' age and subject were significant at the teacher level, and school size, regional size, and professional development climate were significant at the school level. In particular, it was confirmed that the school's professional development climate can be a major factor in raising teachers' utilization and perception of ICT. Based on the research results, implications and suggestions for future research were discussed.
Correction to: Factorials Experiments, Covering Arrays, and Combinatorial Testing

A correction to this paper has been published: https://doi.org/10.1007/s11786-021-00502-7
Boulez – Xenakis: Two Converging Musical Heuristics

What is heuristics? The methods of imagination that prepares for invention and discovery, by accepting that all arguments are good if they can succeed in achieving the proposed goals. A principle is deemed to be heuristic, therefore, when it is considered not on the basis of the truth it supports but by the fact that it contributes wholly or partly to the realisation of some project. In order to compose a work, the creator has a certain number of dominant ideas, which function as pivots or fixed points around which the piece develops. The value of these ideas, which sometimes take the form of theories borrowed from the physical or mathematical sciences, is justified a posteriori, by the realisation of the works that emerge from them, and not a priori: the experimental or logical truth of what they assert, even if confirmed by experimental reality, is put here in brackets. These principles count as opinions for the composer; they are the heuristic principles of creation. The aim of this paper is to analyse the principles that operate as the driving force behind the creation of Boulez and Xenakis.
How would a volcanic eruption affect your Tribe?

First posted May 10, 2021 For additional information, contact: Volcano Hazards Program Cascades Volcano Observatory U.S. Geological Survey 1300 SE Cardinal Court Vancouver, Washington, 98683-9589 Volcanic eruptions are rare, but when they occur, they can profoundly affect nearby communities. In order to determine which communities are at risk, and in order for those communities to mitigate their risk, communities need to know whether they are in or near volcano hazard zones and have basic information about the hazards within those zones. In addition, individuals need to know whether they live in, work or go to school in, or cross volcano hazard zones as part of their routine so they can plan for what to do in the event of an eruption.The purpose of this product is to serve as a starting point for dialogue with Indian Tribes of the Pacific Northwest who may be at risk from future volcanic eruptions. The map shows Tribal land boundaries and land-based volcano hazard zones, allowing Tribes to determine quickly if they are at risk from these hazards. A rose diagram in the map explanation shows typical Pacific Northwest wind directions and, hence, the most likely directions airborne material (tephra) from explosive eruptions will travel (primarily to the northeast, east, and southeast). We also provide basic information about the hazards and simple protective actions to take during unrest and eruptions, guidance for finding information about current volcanic activity and preparedness, and additional resources.
Mathematical modelling of the grade point average (GPA) system of mathematics students of Federal University, Lafia

We proposed a mathematical model that captures students’ academic progress via the GPA evaluation system. Our purpose is to understand the effect of failing a course (carryovers), low grade point and probation on the overall academic progress (CGPA) of students. The model is analyzed for the existence and stability of the student progress free equilibrium (SPFE) state. Stability analysis revealed that the model is locally asymptotically stable under certain conditions on the model parameters. A quantitative analysis using numerical experiments with the Maple software was also carried out. From the result of this work, there is a direct relationship between high grade point and high GPA and low grade point and low GPA. Students with high CGPA on a consistent manner tend to graduate in the fourth year while students with low grade and failing courses graduate in the fifth or sixth year. The GPA system goes hand in hand with the semester and course credit system, hence the need for students to understand the functionalities of the impact of the credit system on his overall academic progress.
Training our first models

In Chapter 1, we introduced the TensorFlow.js ecosystem. There, we discussed its history, features, and details, such as tensors, operations, and layers. In this second chapter, we will apply several of the concepts introduced to build our first machine learning models.
Rendahnya Minat Baca dan Kemampuan Memahami Isi Bacaan dalam Pembelajaran Bahasa Indonesia Siswa SMP

This article discusses (1) the causes of low interest in reading and the ability to understand the contents of reading in Indonesian junior high school students' learning, (2) the factors causing the low interest in reading and the ability to understand the reading contents in Indonesian language learning of junior high school students, and (3) the solution that will developed to increase the low interest in reading and the ability to understand the content of reading in Indonesian language learning junior high school students. In this case the teacher as a mediator in learning must be able to reduce the low interest in reading and the ability to understand the content of reading in Indonesian language learning using the right model. Thus students will be interested in reading.
Theoretical Issues of Forecasting the Content of Education in General Scools in General

This article outlines the theoretical basis of the processes of predicting educational content of secondary schools based on modern didactic approaches. The pedagogical aspects of the development of the individual in the educational processes are explained by different methods.
Analysis and Implementation of Online-Based Rice Sales (e-commerce) at UD. Toko Beras Santy

Improvements in human resources have made rapid developments in technology and information. In the business sector the use of technology greatly affects sales and marketing, but not all business sectors have used technology in their sales and marketing. One way to increase the area of â€‹â€‹marketing is to use internet technology that can cover many areas. With the existence of internet technology everyone from many areas can be connected easily and quickly. The use of the internet in the business sector is not only limited to the expansion of the marketing area but can also be used as a medium of transaction that uses the internet network called e-commerce which is very helpful for customers in purchasing a product. With the help of the Technology Acceptance Model or TAM method, researchers can understand the factors that influence the acceptance of the use of computer technology through 5 factors, namely, Perceived Ease of Use, Perceived Usefulness, Attitude Toward Using, Behavioral Intention Of Use, and Actual System Usage. TAM aims to explain the user's acceptance of an information system as well as with this e-commerce web can help in the selection of rice products quickly and expand the area of â€‹â€‹product marketing.
Parallel Network to Learn Novelty from the Known

Towards multi-class novelty detection, we propose an end-to-end trainable Parallel Network (PN) using no additional data but only the training set. Our key idea is to first divide the training set into successive subtasks of pseudo-novelty detection to simulate real scenarios. We then design PN which consists of multiple branches to address the pseudo-tasks. This yields a more compact and discrminative classification space and forms a natural ensemble. In practice, we sample a random subset of the training classes as pseudo-novel and regard the extra as known. The sampling result forms a sub-task fed to one branch of PN. All training classes are equally divided as pseudo-novel to PN's branches for better data balance and model diversity. By distinguishing between the known and the diverse pseudo-novel, PN extracts the concept of novelty in a compact classification space. This provides PN with generalization ability to real novel classes which are absent during training. During online inference, this ability is further strengthened with the ensemble of PN's multiple branches. Experiments on three public datasets show our method's superiority to the mainstream methods.
Welcome Speech From the General Chair

On behalf of the committee, I am honored and pleased to welcome you all to the 3 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rd</sup> 2021 East Indonesia Conference on Computer and Information Technology (EIConCIT) at our Virtual Conference. The 3rd EIConCIT, originally planned to be held in 2020. However, it was postponed because it coincided with the COVID-19 pandemic. Finally, the 3rd 2021 EIConCIT is organized by the Institut Sains dan Teknologi Surabaya (ISTTS), in Surabaya, the capital city of East Java and Surabaya is a lively city born from the heroic value of its founder since the time of kings and queens of Majapahit.
Tourist Satisfaction: An Analysis of Push and Pull Factors - A Case of Qatar Tourism

In the light of rising competition in providing tourism experience amongst Gulf Cooperation Council (GCC) and countries, how efficient Qatar has been in creating tourist satisfaction and tourist motivation in order to create tourist loyalty and promote tourism to global standards. Measuring tourist satisfaction plays an important role in marketing tourism products and services. The purpose of this study is to examine the push and pull factors of tourists visit; their motivation and the activities carry out at the destination. This study explore to understand what comprises tourists are satisfied to transmit their positive experience to third persons as well as repeating their visit to Qatar. The result was drawn from questionnaire survey of 494 international visitors who visited Qatar in 2018. The data were analyzed using matrices which shown the mean scores of expectations, the mean score of experience and the mean of difference between experience and expectation scores. The mean scores of expectation were then plotted against experience in a two dimensional map for positive and negative attributes. The t-test was performed to identify the significant result of each attributes at 1:1000 levels. The findings provide Qatar Tourism Authorities with insights about the level of satisfactions among international tourists and call for better improvements strategies for future tourism development in Qatar.
Developments of Professional Learning Communities and Challenges for Principals in Chinese Urban Middle Schools

Professional learning communities (PLCs) have seen a rapid spread all around the world over the past 30 years. Since then it has been proved that they can improve teaching quality and thereby the achievement of students, and so PLCs have attracted increasing attention especially from education systems. In China, PLCs have been developed vigorously within schools since the implementation of the ‘New Curriculum Reform’ in 2000. However, the west has paid scant attention to and were not familiar with them since most research in this field in China was published in Chinese.Furthermore, PLCs are influenced by contextual and cultural factors, and therefore PLCs in Chinese education systems are different from those in Anglo-American settings due to long-standing cultural differences, which require consideration. Therefore, this research will investigate the PLCs in China that may be of interest. Many recent studies have shown that, although PLCs have made significant progress in Chinese urban middle schools through the enthusiastic efforts of educators and scholars, there are still several barriers. The primary purpose of this research is to review the development of PLCs and additionally to analyse the challenges faced by the principals.
큐브인공위성과 인공지능을 융합한 북한군 이동식무기체계의 탐지 및 추적에 대한 연구

This paper studies the priority given to real-time monitoring and tracking of mobile weapons systems, including transporter erector launchers, which are a major danger to the military of the Republic of Korea. Also, it aims to present economic and effective measures for observation of the North Korean military by combining artificial intelligence technology with Cube satellites. A large number of Cube satellites were launched into their target orbit and operated. Then the data collected was used to determine how to enable real-time monitoring and tracking of mobile weapons systems, including transporter erector launchers and mobile weapons, of the North Korean military. Besides, the paper describes the process of identifying in actual satellite imagery the weapons, positions, and bases of the North Korean military and conducting virtual experiments with the “Vance AI” and “Google Cloud Platform” tools.
IOT based Autonomous Wheelchair for Hospital Environment

The mobility of physically challenged people is a serious concern.Automating a wheelchair can gradually reduce their dependency on others.In addition, the major pandemic crisis of corona virus has made us realize the importance of socialdistancing especially in hospital environment, therefore automating of the wheelchair is of utmost importance in the present time.In this project, we automated a wheelchair using IOT which is a rising and advanced technology.The wheelchair gets connected to the internet using Wi-Fi module included in NODEMCU microcontroller.The locomotion of wheelchair will be carried out autonomously using six Infrared sensors, which will follow a map.The automation also consists of an object detection system.Ultrasonic sensor will be used to detect any obstacle in the path.Furthermore, the embedded system will incorporate fall detection in case of emergency which sends an alert message through IOT platform.This is achieved using a motion sensor MPU6050 and BLYNK application.
Local Grouped Invariant Order Pattern for Grayscale-Inversion and Rotation Invariant Texture Classification

Local binary pattern (LBP) based descriptors have shown effectiveness for texture classification. However, most of them encode the intensity relationships between neighboring pixels and a central pixel into binary forms, thereby failing to capture the complete ordering information among neighbors. Several methods have explored intensity order information for feature description, but they do not address the grayscale-inversion problem. In this paper, we propose an image descriptor called local grouped invariant order pattern (LGIOP) for grayscale-inversion and rotation invariant texture classification. Our LGIOP is a histogram representation which jointly encodes neighboring order information and central pixels. In particular, two new order encoding methods, i.e., intensity order encoding and distance order encoding, are proposed to describe the neighboring relationships. These two order encoding methods are not only complementary but also invariant to grayscale-inversion and rotation changes. Experiments for texture classification demonstrate that the proposed LGIOP descriptor is robust to (linear or nonlinear) grayscale inversion and image rotation.
Semantic Querying of News Articles With Natural Language Questions

The heterogeneity and the increasing amount of the news published on the web create challenges in accessing them. In the authors' previous studies, they introduced a semantic web-based sports news aggregation system called BKSport, which manages to generate metadata for every news item. Providing an intuitive and expressive way to retrieve information and exploiting the advantages of semantic search technique is within their consideration. In this paper, they propose a method to transform natural language questions into SPARQL queries, which could be applied to existing semantic data. This method is mainly based on the following tasks: the construction of a semantic model representing a question, detection of ontology vocabularies and knowledge base elements in question, and their mapping to generate a query. Experiments are performed on a set of questions belonging to various categories, and the results show that the proposed method provides high precision.