Reviewerly/exHarmony huggingface dataset:
Design and Implementation of Road Transportation Safety Supervision and Inspection System Based on Workflow and Rapid Development Platform Technology

This paper establishes the model of road transportation safety supervision and inspection system with workflow technology as the core, so that the management department of road transportation industry can promote the safety supervision and inspection work more efficiently and in a more orderly way. Workflow technology improves the compatibility and overall coordination of the system, enabling each function of the system to be more flexible and adaptable. Compared with traditional programming development mode, the rapid development platform technology can leave out complicated coding and business logic modules, which can achieve more convenient, more rapid, and higher quality development of the system through the management of various functions such as intelligent reports, data maintenance, and MVC operational control. The system in this paper realizes the “double random” spot check, innovates the management mode of road transportation safety supervision and inspection, standardizes the law enforcement behavior, and improves the information level of road transportation safety supervision and inspection work.
LibGuides: Presentation Skills: e-learning and eBooks (30 mins+)

Find out how to plan and deliver an Oscar-worthy presentation with this online guide from the Skills Centre.
Acceleration of deep convolutional neural networks on multiprocessor system-on-chip

In this master thesis some of the most promising existing frameworks and implementations of deep convolutional neural networks on multiprocessor system-on-chips (MPSoCs) are researched and evaluate ...
Hubungan Penguasaan Syarat-Syarat Paragraf Dengan Kemampuan Menulis Karangan Naras Pada Siswa Kelas X Sma Negeri 1 Batangtoru

The purpose of this study was to determine whether there is a signicant relationship between effective paragraph mastery and the ability to write narrative essays on Class X students of SMA Negeri 1 Batang Toru. The description method was used in conducting this research. The population of this study was all 120 Class X students of SMA Negeri 1 Batang Toru. The research sample was taken using a random sampling technique, which is 25% of the population. So, the sample of this study ranges from 30 students. Then the authors provide the test as a data collection technique. In data analysis, the authors use descriptive analysis techniques and statistical analysis techniques using the Product Moment r formula by Pearson. Descriptive analysis results show that Class X students of SMA Negeri 1 Batang Toru gained 72.16 (good category) in writing narrative essays. Meanwhile students get an average score of 67.00 (enough categories) in effective paragraph mastery. The results of statistical analysis show that the rxy value is greater than the rtablevalue (0.974 > 0.374). Thus, it can be said that the hypothesis in this study can be accepted. This means that there is a signicant relationship between the mastery of paragraph requirements and the ability to write narrative essays on Class X students of SMA Negeri 1 Batang Toru.
Hubungan Motivasi Belajar Instrinsik Terhadap Prestasi Belajar Biologi Kelas XI IPA di SMA Negeri 4 Tanjungpinang

Abstract: This type of correlation research is a type of research that discusses the relationship between one or two variables in the study. In this study, the researchers looked at the level of the relationship between intrinsic learning motivation towards biology learning achievement of students of class XI science in SMA 4 Tanjungpinang. In this study, researchers used a sample of research consisting of students and students from class XI IPA 1 to class XI IPA 5, amounting to 84 students. The data collection techniques in this study used two research instruments, namely questionnaire and question instruments. The questionnaire instrument was used to measure the value of intrinsic learning motivation while the test instrument was used to measure student learning achievement. Based on the results of the Pearson product moment test, the significance direction is 0.00, meaning that there is a correlation between the above variables, then, the relationship between intrinsic learning motivation towards learning achievement produces a value of 0.50 which is categorized into medium correlation. Then it can be concluded that the above hypothesis is accepted.
Using Multi-constraint Integer Nonlinear Optimization Model to Select Generator

This paper studies the power generation plan when the power is cut off within a week in the factory.Considering various factors that affect the cost, it comprehensively analyzes the possibility of opening the plan and the influence of three kinds of costs on the total cost, and establishes a multi-constraint integer nonlinear optimization model.In order to minimize the total cost of a week, a minimum model of fixed cost, marginal cost and start-up cost was established, and a seven-day minimum cost scheme was obtained by means of dynamic programming.After changing the output power of the generator, the constraint conditions of the output power are adjusted based on the model of the above problems, and a new model of electricity demand and generation is obtained.In this paper, the model is extended to other problems of continuous segmentation, and the improvement can be generalized to solve such problems.
A Case Study: Indonesian Students’ Speaking anxiety in Learning English as a Foreign Language

This research was to investigate the factors contributing to the students’ speaking anxiety in learning a foreign language and to find out English language teachers’ suggestions to reduce the students’ anxiety in learning a foreign language. The participants of this research were a total of 94 third-year students and 5 English language teachers teaching in the same school. The data collection instruments used in this study were the Foreign Language Classroom Anxiety Scale (FLCAS), which was developed by Horwitz, Horwitz & Cope (1986) and a structured interview. The findings of this study indicated that almost half of the participants experience communication anxiety, fear of negative evaluation, test anxiety and English class anxiety. The participant teachers’ suggestions to reduce the students’ speaking anxiety included frequent involvement in language practice and vocabulary building activities; building the students’ confidence in speaking by creating a low-anxiety classroom atmosphere; using group work activities so as to reduce student mistakes through peer support; correcting the student mistakes indirectly in front of their peers; using media and entertaining language teaching materials to engage the students speaking practice and the teachers taking the role of a facilitator in language classrooms so as to support the students in their language learning process.
Infer causality relationships in the motion of manned and unmanned vehicles using transfer entropy

Recently the interest in autonomous vehicles increases a lot, many studies are made and the researchers investigate the relationship between automatic vehicles and human being. Those studies focus on the relationship between autonomous vehicles and pedestrians or the drivers and the autonomous vehicle. In fact the presence of autonomous vehicle on the road is reality in some country, and it is fundamental to know how we can improve their efficiency. What we actually want to study is the relationship between the autonomous vehicles and the manned vehicles, since it is unlikely that since the beginning the autonomous vehicles will be the only ones on the streets. In this thesis we aim to understand the cause-and-effect relationship between the unmanned and manned vehicle. In order to verify this relationship we apply first a symbolic analysis and afterwards the transfer entropy analysis. We use and create many symbols and we test them studying how they performs with three different cases: when the two vehicles move in opposite direction facing each other, when the two vehicles proceed along parallel routes, and finally the case in which the two vehicles have to intersect their routes. On a secondary moment we make a parametric study using one of the symbol that better performs in the first study. In particular we analyze specific parameters that distinguish the number of total symbols of a type, and we study how the transfer entropy varies with the parameters.
Georgia Rodgers, <i>Line of parts.</i> hcmf//, 2019

As I enter Georgia Rodgers’ Line of parts , I am struck by the instrument for which she has composed: three levitating circles of loudspeakers, one above the other, that form a cylinder of sound rising up above my head. They are housed inside a space-age enclosure, clad in complex geometric foam shapes; a circular array of chairs facing outwards sits in centre of this space, inviting an independent and reflective – rather than communal – listening experience. This space wraps you in it: a womb-like architecture of sonic potential.
Situation Analysis of Mobile Phone Theft in Zambia

As in most nations in Africa, the problem of mobile or cell phone theft is something that local authorities in Zambia are desirous to address. With advances in technology, phones have gotten smaller and of high value. Motivated by this rising challenge, this study purposed to propose an appropriate framework that would help reduce phone thefts. A cross-sectional survey was carried out in which 420 structured questionnaires were distributed among Lusaka residents in four different districts using a multi-stage cluster sampling method. Interviews were also done with various stakeholders such as the Mobile Network Operators, ZICTA and the Police. Data was analysed descriptively using SPSS version 16. Results of the study revealed a 67% phone theft prevalence and confirmed that phone thefts in Zambia have been on the rise, without any seemingly workable remedy from the authorities to counter the issue. Further, Samsung mobile phones topped as the most frequently stolen followed by Nokia. Currently, victims of lost or stolen phones report the matter to the Police then the law enforcement wing tries to recover the phone through a manual process. This study proposed to develop a framework that would help enhance collaboration by interested parties and eventually reduce the prevalence of phone theft by ultimately blocking the handset and preventing its reuse in Zambia once reported stolen.
Takagi-Sugeno fuzzy PID controllers: mathematical models and stability analysis with multiple fuzzy sets

This paper deals with nonlinear Takagi-Sugeno (TS) fuzzy PID controllers with multiple fuzzy sets. Two models of fuzzy PID controllers are proposed using algebraic product (AP) triangular norm, bounded sum (BS)/maximum (Max) triangular co-norm and centre of gravity (CoG) defuzzifier. The inputs are fuzzified by three or more fuzzy sets with trapezoidal/triangular type membership functions. A new rule base is proposed consisting of four rules which reduce the number of tunable parameters. The models of the fuzzy PID controllers reveal that they are (nonlinear) variable gain/structure controllers, i.e., the gains are a function of input variables and the structure of the controller changes in the input space. The variations of gain and the properties of the controllers are investigated. The bounded-input bounded-output (BIBO) stability of the closed loop system with one of the proposed models in the loop is studied. The applicability of the controllers is demonstrated with the help of two examples.
Next generation Wireless Communication Networks for Smart Grid

A pervasive and extensive communication, obtainment and processing of the wireless communication network is evident as a significant development of the 5 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> generation network. The evolution, in reference to the current cellular technology is evolving the 5 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> generation to a novel smart grid. The 5 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> generation wireless network exhibits fundamental services for timely and crucial application for the smart grids. Currently, the electricity market is supplied with the 5 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> generation network as a new organization framework to enhance the manner in which the utility relates to the smart grids. This research work is purposed to present a thorough evaluation of the 5 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> generation network and its vision concerning the smart grids. The critical evaluation presented in this paper discusses the current wireless initiatives and the potential architectural transitions evident in the past few years. Moreover, to effectively comprehend the user-centered analyses of the smart grid systems, a thorough evaluation of the 5 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> generation architecture with the grids is vital. The present status of the 5 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> generation is the smart grid with various analyses for energy abundances as enumerated in this research paper. The focus presented in this paper focuses on future potential smart grids communication frameworks composed of future roadmaps and the problems that should be visional. The full research provides a thorough evaluation of the 5 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> generation network in accordance to future smart networks.
Construção de um solarímetro para utilização em sistemas de monitoramento de limpeza de placas fotovoltaicas.

In this work, a solarimeter was built using a photovoltaic plate as a radiation sensor element. The main function of the system is to provide a reference value to know whether external plates are dirty or not (based on the decrease of efficiency over time). The radiation measurement is made by the plate, which generates a proportional electric current according to the irradiance that affects it, sending this value to a microcontroller. A system sourcing method independent of the electrical network was also developed, so that is possible to install the sensor in the external environment. It was used a battery and a second photovoltaic plate, which only has the function of keeping the battery always charged. For the data acquisition, a supervisory system was developed using Visual Studio, which has only the function of showing the data received by the microcontroller and save them in an external file. Data transmission between the microcontroller and the supervisory system was carried out via radio frequency, through XBee modules. The solarimeter was calibrated using a commercial pyranometer as a reference. The calibration model adjusted to the data showed a determination coefficient equal to 96.33 %. During the validation tests, the system presented RMSE equal to 101.432 W/m², which is considered high value, according to ISO9060, a class 2 sensor (the lowest) can have a maximum error of 30 W/m². Thus, it is concluded that the proposed system can be used for the proposed application.
The Effectiveness of Reading in the Development of a Learner Education

Reading is a complex cognitive activity that is indispensable for all kinds of knowledge in the society. So, learners of today's world should know how to learn from reading in order to adjust to the present literate society. The one who reads can lead others to light. People who read can free themselves from ignorance and superstition. Therefore, reading has the power to revolutionize a learner's ways of thinking and living, it bestows enjoyment and enlightenment at the same time as it unlocks the unknown.  Reading makes one think critically and creatively. Therefore, teachers should emphasize all kinds of reading, especially critical reading which is not just reading on the lines, but reading between and beyond the lines. Indeed, a critical reader challenges the author's assumptions, inferences, and conclusions, and also judges the accuracy, reliability, quality and value of what he reads on the basis of sound criteria developed through previous experiences. This kind of reading paves a clear path for the learners to acquire better comprehensive ability through different activities such as techniques of SQ3R, multimedia, skimming and scanning. Besides, there are ways, means and factors which affect the acquisition of reading skill. To achieve this stage successfully, teachers should realize that they have to play a major role in engaging and encouraging their learners to become voracious readers.
Convolutional neural networks for predicting the state of electrical switches

The aim of this master thesis is to expose the work done during my five months of internship at the Blue Reply company in Turin where I worked on a commission project from one of the largest energy companies in the world. It has consisted in the development of an API based on a machine learning algorithm that is able to receive as input an image of an eletrical switch, to detect the QR codes which are present and to extract the information on them, to crop the area of interest and to query the appropiate convolutional neural network (CNN) previously trained to give as output a prediction about the state of the switch. The CNNs are one of the most useful tool of the deep learning nowadays and they are applied in several tasks, indeed they cover a main role in topics like image and video recognition, image classification, neural language processing and others. The problem I dealt with can be classified as a computer vision problem, more precisely as an image classification problem, and its purpose is to increase occupational safety for operators who need to carry out maintenance and repair operations. The key role of the project is covered by neural networks and for this reason the first part of the thesis serves to provide their theoretical knowledge, in fact it aims to explain what they are and how they work, focusing the main attention on the convolutional architecture adopted for the problem and known as ResNet. After that, it is explain into details the work done. It concerns the development of the machine learning algorithm, the creations of different datasets, the object detection implementation which is another important tool of deep learning, the training of neural networks and the results evaluation. The performances are not only evaluated through more classic measures like accuracy and confidence, but also through the implementation of an explanatory model that allows to understand why a certain prediction is done and if it is reliable.
SORTED : Serial manipulator with Object Recognition Trough Edge Detection

Today, there is an increasing demand for smart robots that can make decisions on their own and cooperate with humans in changing environments. The application areas for robotic arms with camera vis ...
A corpus based analysis of English, Swedish, Polish, and Russian prepositions

In this study, the use of spatial prepositions in English, Polish, Swedish, and Russian is analyzed.Prepositions and their contexts are extracted from corpora by means of concordance tools.The collostructional strength between prepositions and frequent nouns in the PPs (Gries et al. 2005) is then computed in order to get a more detailed picture of the contexts in which a given preposition is likely to appear.The results of the investigation are then analysed within the framework of cognitive semantics, especially Croft and Cruse's ( 2004) taxonomy of construal operations, and Talmy's (2005) classification of spatial images.
Restaurant’s Feedback Analysis System using Sentimental Analysis and Data Mining Techniques

Abstract— There are many challenges faced by restaurants of which getting honest feedbacks of the services have been a huge challenge but it is equally very important to remain on the top of the current market. The current trend and fact are; people express their honest sentiments through social media. Hence, through this paper, we present a methodology that will quell this challenge by performing sentimental analysis on the feedbacks and determine their polarity. Followed by clustering on the positive and negative feedbacks obtained from the previous process, to identify the broad topics of that organization that the feedbacks target. This summarization helps the restaurants to improve their current processes based on the feedback received. The feedbacks are collected from different sources to suffice the needs.
A three-dimension measurement system using linear LEDs with phase-shifting method

When performing Three-dimension (3D) measurements with phase-shifting method, usually a digital projector, or a translation stage is used to generate phase-shifted fringe patterns. However, in these cases, errors like gamma distortion, lens distortion and random errors caused by mechanisms are inevitable. In order to reduce the effect caused by system errors, simplify calibration procedures as well as further minimizing, in this paper, phase-shifted fringes are generated by linear LED arrays and a Ronchi grating. Phase-shifting will be performed by switching one linear LED array to another. The advanced iteration algorithm which do not require the phase-shifting amount to be known and unified is employed to minimize the calculation error caused by un-unified phase-shifting amount, since the phase-shifting amount produced by this method depends on the distance to the grating plane, which could not be exact 2&pi;/3. Experiment results suggest that the system has a measurement error less than 0.05mm at the working distance of 130mm.
Library Automation Using Artificial Intelligence

Artificial Intelligence is a broad, complex area of study, which can be difficult for no specialists to understand. Yet, its ultimate promise is to create computer systems that rival human intelligence, and this clearly has major implications for librarianship. If we want to make progress in the area of intelligent systems, we must have a well-developed understanding of AI technologies. Through the existing application of AI technologies, numerous prototype intelligent library systems has been created for cataloging, indexing, information retrieval, reference, and other purposes; however, relatively few of these systems have evolved into product or systems that are used in the day-to-day operations of libraries. This proposed system automates the task of librarian and the users, using AI concepts like Natural language processing (NLP), data mining and speech recognition system. This system helps user to search and locate (path to reach to book location) books from library. Motivation behind implementing AI is, Data mining simplifies data processing and provides optimal results. NLP and speech recognition simplify system interaction for librarian and users. The system helps simplifying book issuing process and record maintenance as complete solution to conventional library management system.
LibGuides: Off-Campus Access: Virtual Research Services

This guide will help you locate information resources on online teaching and troubleshoot common issues with access to library resources from off-campus.