Reviewerly/exHarmony huggingface dataset:
Nonlinear optimization based practical intrinsic parameters calibration for a planar moving camera

A nonlinear optimization based practical intrinsic parameters calibration for a planar moving camera is investigated in this paper. The scheme firstly chooses an initial estimated value of focal length, calculates the expected and current projective homography matrices by using the initial estimated value of focal length, then decomposes the projective homography matrix to obtain the coordinate component of the plane normal vector of the feature point. After that, the method obtains the non-linear equation according to the relevant properties, and solves the non-linear equation to get the focal length of the internal parameter matrix. In the case that there are errors between the principal coordinates and its true values, it can be seen that the calculated focal length is within the acceptable error range. The simulation results show that the method is practical and effective.
Development of Scientific and Natural Competence of Technology Teachers in the System of Postgraduate Education by Means of Information and Communication Support

The research deals withthe analysis of the results of experimental work on the problem of development of technology teachers’scientific and natural competence in the postgraduate education system in the conditions of modern processes of education informatization. Itdescribes the main results of the technology teachers’ scientific and naturaltraining study in the postgraduate education system by means of information and technological support.On this basis it is concluded that the effective knowledge and skill masteringis provided dueto the usageof information and technological support in the postgraduate pedagogical education system.
Maze Maneuvering and Colored Object Tracking for Differential Drive Mobile Robot

In maze maneuvering, it is needed for a mobile robot to feasibly plan the shortest path from its initial posture to the desired destination in a given environment. To achieve that, the mobile robot is combined with multiple distance sensors to assist the navigation while avoiding obstructing obstacles and following the shortest path toward the target. Additionally, a vision sensor is used to detect and track colored objects. A new algorithm is proposed based on different type of utilized sensors to aid the maneuvering of differential drive mobile robot in an unknown environment. In the proposed algorithm, the robot has the ability to traverse surrounding hindrances and seek for a particular object based on its color. Six infrared sensors are used to detect any located obstacles and one color detection sensor is used to locate the colored object. The Mobile Robotics Simulation Toolbox in Matlab is used to test the proposed algorithm. Three different scenarios are studied to prove the efficiency of the proposed algorithm. The simulation results demonstrate that the mobile robot has successfully accomplished the tracking and locating of a colored object without collision with hurdles.
EXPERIENCE WITH DIGITAL EDUCATIONAL TOOLS IN THE UNIVERSITY CLASSROOM

I. Mateos-Aparicio, M. Sánchez-Paniagua, B. López-Ruiz, J. RaggioUniversidad Complutense de Madrid (SPAIN)
SUBMISSION TITLE: EFFECTS OF USE OF ELECTRONIC MEDIA ON EARLY CHILDHOOD LANGUAGE DEVELOPMENT

This research is motivated by problems that researchers found in a PAUD. The problem at the school was the discovery of children who were addicted to cellphones so that the language skills became late. The purpose of this study is to prove whether electronic media influences children's language development. This research is a descriptive study that uses a qualitative approach. The subjects of this study were two children who were equally addicted to their cellphones. The study was conducted in several stages. The first stage is distributing questionnaires to all parents of children in the school. Furthermore, the data from the questionnaire was processed, after being processed it was obtained research subjects. Then the subject is observed and after that an interview is given to parents. From the results of interviews and observations that have been done, it is found that electronic media influences early language development in children.
A Study of Recognition of International Manners Education Experience : Qualitative Research of Flight Attendant Department College Students

The purpose of this study is to investigate the effect of international manners education for the students of aviation service department. These department students will serve as actual subjects for international manners education. This study can be understood as an attempt to make concrete standards that are understood as social members in his or her individual consciousness. In order to achieve this goal, we used content analysis method of the students
Scale development/adaptation studies conducted within the scope of cyber threats and information security issues

In this study, it was aimed to review nationally and internationally published articles on issues such as â€œcyber threats, information security, adverse cyber behavior, cyber-human values and their sub-domainsâ€ between 2010 and 2018. A one-shot survey model, one of the general survey models, was utilized. Within the scope of the study, all scale development and adaptation articles in the relevant field that were indexed in the Web of Science and TR Index between 2010 and 2018 and that were accessible full-text constituted the research population of the study. As a result of the study, it was seen that the number of scale studies carried out nationally was quantitatively twice as many as the number of those carried out internationally. In international publications, based on the reviews, it was observed that there were more publications in science journals, especially in engineering journals. According to the distribution of subjects, the most studied subject of the field in all publications was â€œadverse cyber behaviors.â€ This was followed by the â€œinformation securityâ€ topics. The least addressed subjects were â€œcyber-human values.â€ All the findings obtained in the other subjects investigated in this study are presented in the discussion and conclusion sections.
De Bruijn’s Effect in University Management

De Bruijn’s effect describes how distortions are formed in the work of public institutions, if their management relies on a system for quantifying efficiency. The article details the demonstrations of this effect in the higher education system. It is shown how quantitative indicators in evaluating the work of universities can distort strategies of their natural development. The limitations are considered that must be considered when using performance evaluations as a tool for university management. It is concluded that the de Bruijn’s effect creates the conditions for the spread of simulative practices and false interactions in universities.
Analisis Keaktifan Belajar Siswa Keluarga Petani Tanah Basah Pada Kelas XI IPS SMAN I Jumapolo Tahun Ajaran 2016/2017

The purpose of this study was to determine the effect of land area, type of vehicleand motivation on the learning activities of class XI State High School 1 Jumapolostudents. This research is quantitative descriptive research type with drawingconclusions through statistical analysis. The population in this study were students ofclass XI IPS of SMA Negeri 1Jumapolo. Samples were 119 students. The requireddata is obtained through a questionnaire and documentation. The data analysistechnique used is multiple linear regression analysis, F test, t test, R2 test, andrelative and effective contributions. The regression line equation shows that studentlearning activeness is influenced by arable land area, type of vehicle and learningmotivation. The conclusions drawn are: 1) Based on the F test it is known that thevalue obtained by Fcount> Ftable is 5.721> 2,68 and the significance value <0.05 is0.001 <0.05. This means that the area of arable land, the type of vehicle and learningmotivation together contribute positively and significantly to student learningactivities. While the coefficient of determination obtained by 0.395 which means thatthe contribution made by a combination of arable land area variables, the type ofvehicle and learning motivation is 39.5% while 60.5% is influenced by othervariables. 2) Variable area of arable land does not contribute and is significant tostudents' learning activeness. T test results obtained because tcount 1,98081 and a significance value> 0.05 is 0.361> 0.05. Variable area of arable landprovides a relative contribution of 10% and an effective contribution of 4%. 3)Variable types of vehicles do not contribute and are significant to the activeness ofstudent learning. T test results were obtained because tcount <ttable is 0.710 0.05 is 0.479> 0.05. Variable types of vehiclesmake a relative contribution of 3% and an effective contribution of 1.2%. 4)Learning motivation variables contribute positively and significantly to students'learning activeness. T test results are 3.691> 1,98081 and the significance value<0.05 is 0.000 <0.05. Learning motivation variable gave a relative contribution of87% and an effective contribution of 34.3%.
A Study on Designing Beauty Korean Classes as a Liberal Arts Course : Focused on Needs Analysis

The purpose of this study is discussing practical Korean classes that can be utilized in Korean language major courses and liberal arts courses as a part of the basic research of designing liberal arts Korean language curriculum and developing textbooks for Korean learning by international students majoring in beauty treatment and art. Currently, the studies on beauty treatment and art majors for international students have solely focused on vocabulary education and curriculum for practice. Some examples are the studies on classification of vocabulary related to beauty treatment or Korean language curriculum needed for practice process. However, the studies on Korean language related to beauty treatment and art approaching learning university majors in terms of contents have been insufficient until now. This study suggested Korean language classes related to beauty treatment and actual educational examples of advanced Korean language education for international students studying beauty treatment. This study can be used as an important material for Korean language education targeting academic field related to beauty treatment.
CDE++: Learning Categorical Data Embedding by Enhancing Heterogeneous Feature Value Coupling Relationships

Categorical data are ubiquitous in machine learning tasks, and the representation of categorical data plays an important role in the learning performance. The heterogeneous coupling relationships between features and feature values reflect the characteristics of the real-world categorical data which need to be captured in the representations. The paper proposes an enhanced categorical data embedding method, i.e., CDE++, which captures the heterogeneous feature value coupling relationships into the representations. Based on information theory and the hierarchical couplings defined in our previous work CDE (Categorical Data Embedding by learning hierarchical value coupling), CDE++ adopts mutual information and margin entropy to capture feature couplings and designs a hybrid clustering strategy to capture multiple types of feature value clusters. Moreover, Autoencoder is used to learn non-linear couplings between features and value clusters. The categorical data embeddings generated by CDE++ are low-dimensional numerical vectors which are directly applied to clustering and classification and achieve the best performance comparing with other categorical representation learning methods. Parameter sensitivity and scalability tests are also conducted to demonstrate the superiority of CDE++.
High-dimensional and causal inference

Author(s): Walter, Simon | Advisor(s): Yu, Bin; Sekhon, Jasjeet S | Abstract: High-dimensional and causal inference are topics at the forefront of statistical research. This thesis is a unified treatment of three contributions to these literatures. The first two contributions are to the theoretical statistical literature; the third puts the techniques of causal inference into practice in policy evaluation.In Chapter 2, we suggest a broadly applicable remedy for the failure of Efron’s bootstrap in high dimensions is to modify the bootstrap so that data vectors are broken into blocks and the blocks are resampled independently of one another. Cross-validation can be used effectively to choose the optimal block length. We show both theoretically and in numerical studies that this method restores consistency and has superior predictive performance when used in combination with Breiman’s bagging procedure. This chapter is joint work with Peter Hall and Hugh Miller.In Chapter 3, we investigate regression adjustment for the modified outcome (RAMO). An equivalent procedure is given in Rubin and van der Laan [2007] and then in Luedtke and van der Laan [2016]; philosophically similar ideas appear to originate in Miller [1976]. We establish new guarantees when the procedure is applied in designed experiments (where the propensity score is known a priori) and confirm that the procedure is doubly robust. RAMO can be implemented in only a few lines of code and it can be immediately combined with existing regression models, including random forests and deep neural networks, used in classical prediction problems. This chapter is joint work with Bin Yu and Jasjeet Sekhon.In Chapter 4, we investigate the specific deterrent effect of traffic citations. In Queensland, Australia many speeding and red-light running offenses are detected by traffic cameras and drivers are notified of the citation, not at the time they commit the offense, but when the citation notice is delivered by mail about two weeks later. We use a regression discontinuity design to assess whether the chance of crashing or recidivism changes at the moment of notification. We analyzed a population of nearly 3 million drivers who committed camera-detected offenses. We conclude that there is not a significant change in the incidence of crashes but there is a marked decrease in recidivism of about 25%. This chapter is joint work with David Studdert and Jeremy Goldhaber-Fiebert.
Pembelajaran Kontekstual Pada Anak Berkesulitan Belajar Dalam Meningkatkan Hasil Belajar IPA di SD GMIM XV Manado

The purpose of this study was to get a picture of improvingstudent learning outcomes with special learning difficultiesin science lessons through a contextual approach at SD 15Manado. The research method used was classroom actionresearch on grade VI students of SD GMIM 15 Manado. Thisclass action research was carried out in one cycle using thefollowing procedure: (1) planning, (2) implementing theaction (3) observing, and (4) reflecting. Data collectionconsists of: 1) Learning outcomes data obtained throughwritten tests, 2) Data about the learning process situation isobtained through observation sheets, 3) Data about therelationship between planning and implementation of actionsis obtained through observation sheets. The researchinstruments included written tests, worksheets andobservation sheets. Qualitative data will be analyzed usingqualitative analysis. The results showed (a) the objectivesexpected in this proposed study were to improve studentlearning outcomes that continuously learn about cellmaterial, organs and organ systems through contextuallearning models achieving mastery learning by groups; (b)the hypothesis of the prescribed actions is acceptable, namelythe learning of cells, organs and organ systems usingcontextual through a contextual learning model, the results ofcontinuous student learning achieve mastery learning ingroups.Keywords: special learning difficulties, science lessons, contextualapproach.
E-learning via Social network: between media education and academic achievement

Social networks are considered as one of the most important means of promoting, the media education, concerning the improvement of the academic attainment of learners, since it is essential for judging the future achievements of learners.      Our intervention aims to know the role of the social media in the academic learning through considering it as an mainstay for media education like the availability of information with less effort and during a shorter time, exchanging ideas and discussing them with specialized persons, and the availability of electronic books which help the learner when he faces documentation problems during his traditional academic attainment, all this in one hand.On the other hand is considered destructive element of the media education, the researchers have proved that  the over-use of these social networks can have negative effects on the academic attainment and producing, such as sleeping while studying and revising, to be absent-minded and other educational problems.
On the Incomplete Genetic Data of Bayesian Structural Expectation-Maximization Algorithm

In order to study the regulation of incomplete genetic data, we use a kind of Bayesian network method to get the construction of networks of genes and reason the probabilistic relationships of genes. That is, if we have no prior knowledge and the data contains loss values, we use Structural Expectation-Maximization algorithm (SEM algorithm) to complete the network structure learning and get the corresponding parameter learning to find out the probabilistic dependent relationships between the parent nodes and child nodes, and then we obtain the processing ability of SEM algorithm in data containing missing values.
Generating Accurate and Compact Edit Scripts using Tree Differencing.

For analyzing changes in source code, edit scriptsare used to describe the differences between two versions of afile. These scripts consist of a list of actions that, applied to thesource file, result in the new version of the file. In contrast toline-based source code differencing, tree-based approaches suchas GumTree, MTDIFF, or ChangeDistiller extract changes bycomparing the abstract syntax trees (AST) of two versions of asource file. One benefit of tree-based approaches is their abilityto capture moved (sub) trees in the AST. Our approach, theIterative Java Matcher (IJM), builds upon GumTree and aims atgenerating more accurate and compact edit scripts that capturethe developer's intent. This is achieved by improving the qualityof the generated move and update actions, which are the mainsource of inaccurate actions generated by previous approaches. To evaluate our approach, we conducted a study with 11 external experts and manually analyzed the accuracy of 2400 randomly selected editactions. Comparing IJM to GumTree and MTDIFF, the resultsshow that IJM provides better accuracy for move and updateactions and is more beneficial to understanding the changes.
Negated Adjectives and Antonyms in Distributional Semantics: not similar?

We investigate the relation between negated adjectives and antonyms pairs in English (e.g., not cold vs. hotcold) using Distributional Semantics.We build vector representations of a set of antonyms and their negations on the basis of their contexts of use, and compare the similarities of the negated adjectives to each of the adjective in their antonym pair.We find that in a distributional semantic model a negated adjective (e.g., not cold) is typically more similar to the adjective itself (cold) than to its antonym (hot).The effect is less strong for antonyms that share their lexical root (morphological; e.g., happyunhappy).No difference is observed between simple and double negations (e.g., not happy, not unhappy), and contrary and contradictory antonyms (e.g., hotcold, deadalive).Our results provides insights on negated adjectives, and in general the type of similarity captured by Distributional Semantics.
AN ANALYSIS OF ENGLISH PHRASAL VERB TYPES FOUND IN MAROON 5’S ALBUM SONG ABOUT JANE (2002) AND THEIR TRANSLATION TECHNIQUES

Phrasal verb is combination of a verb and a preposition or an adverb that is used together and creates a new meaning. The aim of the research is to find out types of English phrasal verb that are used in maroon 5’s album Song About Jane (2002), to find out types of English phrasal verb that are used the most frequently and to find out translation techniques that are applied in translating English phrasal verb in Maroon 5’s album Song About Jane (2002) in English-Indonesian version. The data that is used is the words that contain phrasal verb in lyrics song and the source of data is Maroon 5’s Album Song About Jane (2002). This research is descriptive qualitative. This qualitative research uses expert validation to check the validity of the data and research results. The researcher identifies the data of phrasal verb based on King and Richard’s theory (2006) and identifies the translation techniques that are used based on Molina and Albir’s theory (2002). The results of the research show that there are three (3) types of phrasal verb that are found in Maron 5’s Album Song About Jane (2002), those are : separable obligatory phrasal verb 26% (10 of 38), inseparable phrasal verb 34% (13 of 38) and intransitive phrasal verb 40% (15 of 38), type of English phrasal verb that are used the most frequently in Maroon 5’s album Song About Jane (2002) is intransitive phrasal verb with 15 data, and there are 3 techniques that are used in translating english phrasal verb in maroon 5’s album Song About Jane (2002), those are : generalization 87% (33 of 38), established equivalent 10% ( 4 of 38)and discursive creation 3% (1 of 38).
Study of Entity Detection and Identification using Deep Learning Techniques a Survey

Real-time object detection is a recent trend in image processing that plays a very important role in detection of objects and identifying them.Also there are various tools for image processing to identify objects.There are also frameworks which uses end to end network and shows very good results in object detection.However, compared to more accurate but time-consuming frameworks, detection accuracy of existing real-time networks are still left far behind.In this survey paper we have studied different object identification techniques.In this paper various frameworks like HyperNet, novel CAD YOLO Voxnet are studied.Various methods for object detection and identification like region generation, scale invariant detection, non maximum weighted, Sparse matrix distribution, Background modeling, Speed Up Robust Feature(SURF), Single Shot Detection(SSD) are also studied.R-CNN, Edge detection algorithms and Approach based studies are learned.