Reviewerly/exHarmony huggingface dataset:
Statistical Study of the Performance of Recursive Bayesian Filters with Abnormal Observations from Range Sensors

Range sensors are currently present in countless applications related to perception of the environment. In mobile robots, these devices constitute a key part of the sensory apparatus and enable essential operations, that are often addressed by applying methods grounded on probabilistic frameworks such as Bayesian filters. Unfortunately, modern mobile robots have to navigate within challenging environments from the perspective of their sensory devices, getting abnormal observations (e.g., biased, missing, etc.) that may compromise these operations. Although there exist previous contributions that either address filtering performance or identification of abnormal sensory observations, they do not provide a complete treatment of both problems at once. In this work we present a statistical approach that allows us to study and quantify the impact of abnormal observations from range sensors on the performance of Bayesian filters. For that, we formulate the estimation problem from a generic perspective (abstracting from concrete implementations), analyse the main limitations of common robotics range sensors, and define the factors that potentially affect the filtering performance. Rigorous statistical methods are then applied to a set of simulated experiments devised to reproduce a diversity of situations. The obtained results, which we also validate in a real environment, provide novel and relevant conclusions on the effect of abnormal range observations in these filters.
DPAU Project Management Policies and Procedures.2019

These are the Policies and Procedures for the Digital Preservation and Access Unit, updated 2019.
Reachability Queries with Label and Substructure Constraints on Knowledge Graphs

Since knowledge graphs (KGs) describe and model the relationships between entities and concepts in the real world, reasoning on KGs often correspond to the reachability queries with label and substructure constraints (LSCR queries). Specifically, for a search path p, LSCR queries not only require that the labels of the edges passed by p are in a certain label set, but also claim that a vertex in p could satisfy a certain substructure constraint. They are much more complex than existing label-constraint reachability (LCR) queries. LSCR queries on KGs can be addressed by two natural ways (EA-1) an online search algorithm and (EA-2) a combined search strategy, to the best of our knowledge. This paper presents two optimized algorithms for EA-1 and EA-2, but the optimized algorithms are still inefficient, since their efficiencies are highly dominated by their search directions as analyzed in this paper. Motivated by that, this paper presents an efficient informed search strategy on KGs, named INSK, with a lightweight index, named local index. An extensive experimental evaluation, on both synthetic and real KGs, illustrates that our INSK can efficiently process LSCR queries on KGs.
Attribute identification for Chinese inter-personal relation knowledge graph based on encyclopedic text

An accurate and rich inter-personal relation knowledge graph (KG) not only provides a clear introduction of persons and the interconnections among them but also provide knowledge support for the intelligent service system.At present, most KGs are based on the encyclopedia tabular data.In this article, we mainly describe how to make full use of encyclopedic text to build a high-quality inter-personal relation KG.For solving the problem of missing attributes and errors in tabular data, we propose a method of combining pattern matching and deep learning models to extract attribute information from text data for attribute identification.The experimental results show that our method can effectively improve the coverage and accuracy of KGs.
Implementasi Sistem Penyusutan Arsip di Dinas Pendidikan Provinsi Sumatera Barat

This study aims to find out how the activities of the assessment and depreciation of archives, constraints faced, and efforts made in overcoming the obstacles to the assessment and depreciation of records in the Education Office of West Sumatra Province. The method of this research is descriptive qualitative, with data sources of several key informants through interviews and direct observation to the object of research. Secondary data obtained from documents available at the location of the object of research. To test the validity of the data used Triangulation Technique. Based on the information from the informants, the archive assessment activities at the Office of Education in West Sumatra Province have not run optimally. It can be seen from the presence of archives that are piled up and not placed in the archive storage area. In addition, the depreciation activities in the West Sumatra Provincial Education Office were carried out in two ways, namely the transfer of archives and destruction of archives while the activities for submitting static archives to archival or ANRI institutions had not been implemented. Depreciation activities at the West Sumatra Provincial Education Office are not supplemented by documentary documents on the transfer and destruction of archives, lists of transferred files and other documents.
ANTI-REFUGEE AND IMMIGRANT REPRESENTATION IN THREE GERMAN ONLINE ILLUSTRATIONS

AbstractSocial criticism is often showed in various forms, one of it is through an illustration. Thus, many people ultimately poured their aspirations, criticism and even innuendo into a drawing. The easy access to the internet today also makes the illustrators take part in doing literary works that are published online. Through the semiotic theory of Ferdinand de Saussure, this paper analyses three online illustrations made by German cartoonists and illustrators; Schwarwel, Harm Bengen, and Freimut Woessner. These three corpuses are published online through their website. The result of this research indicates that the illustrations by Schwarwel, Harm Bengen, and Freimut Woessner represent a rejection of German refugees and immigrant in the political, educational and social sphere.Keywords: Internet, Illustration, Immigrants, Refugees, Representation, Rejection
Constructing a User Type Estimation Model

In product design, it has become important to classify users into several types and to design products for each type. In the field of Kansei engineering, users have been classified based on questionnaires. However, questionnaires that have many items require a lot of effort from users. We solved this problem by extracting and modeling key questionnaire items for classification using decision tree analysis. We applied this method to the classification of motorcycle users based on emotion evaluation, and we conducted type estimation. As a result, we developed a method to perform type estimation with a small number of items. The accuracy of the type estimation model was 0.85. In addition, types classified with this method retained the Kansei information of the original rider types, indicating the method’s high validity.
PERSONALITY TRAITS OF ENTREPRENEUR IN PSYCHOLOGICAL RESEARCH

Vector of modern pedagogical and psychological science in Ukraine and EU countries : Collective monograph. Riga : Izdevnieciba “Baltija Publishing”, 2020. P. 2. 762 p.
APLIKASI PEMESANAN LAUNDRY BERBASIS SMS GATEWAY

Keywords : website, waterfall method, SMS Gateway application&#x0D; The development of information technology lately has entered almost all areas of our life. One of them in the field of business service provider of washing clothes or usually called the laundry. Each laundry business have its own way to improve their laundry service. In conveying information or promoting the Laundry to the community still using a manual way, and it takes very long time. So, it takes more time to get information. To able overcome these problems it is necessary to build a laundry booking application based sms gateway in Palangka Raya. Methodology The development of this application uses the waterfall methodology, with the following stages, the first stage is the requirements analysis described using UML 2.5 (Unifer Modeling Language), the second stage is design, the third stage is coding and testing, the testing used is using blackbox, the fourth stage is implementation, the fifth stage is maintenance. From the results of application testing, it can be concluded that this application has functioned well by providing features such as features of laundry booking based SMS Gateway and laundry profile information that contains services found in laundry.
The Use of Compliance as a Way to Drive Credibility for Cloud Hosting

Compliance can be understood as credibility, a competitive advantage for providers of cloud hosting services. Deployment as a way of promoting credibility for cloud hosting has grown in relevance due to the need for capacity, availability, integrity, and security, which are fundamental requirements in this context, as are adequate structure and documentation. Establishing well-defined rules and metrics in dealing with information, as well as its proprietary rights and privacy, grows in relevance at the same rate as the number of users enjoying cloud computing services and the number of attempts to access restricted information through wide range of cyberattacks. Compliance establishes a comprehensive baseline for an organization's security positioning, thereby reducing the risk of fines, penalties, unplanned downtimes, lawsuits, or business suspension. This study intends to address the cloud data hosting scenario, taking into account this framework and information management for that data, which crosses geo-political boundaries. The article's methodological outline is characterized as a bibliographic and exploratory research. In the descriptive analysis, it was found that it may be seen as a competitive advantage for hosting in the cloud, driving the need for investments in security for the purpose of preventing unauthorized access. The study infers that cloud computing is a safe and low-cost option for storing information and systems.
Penerapan Algoritma Semut pada Protokol Routing AOMDV untuk Optimasi Pencarian Rute di Jaringan VANET

VANET is a wireless network that is a derivative of the MANET network. VANET network is one network that can be used to communicate between one vehicle and another vehicle. With the existence of the VANET network, it is expected to be able to improve the safety of drivers on the highway. One of the uses of the AOMDV routing protocol is that it can be used to help the performance of the VANET network, the AOMDV routing protocol. AOMDV routing protocol in conducting route search there are two working mechanisms namely route discovery and route maintenance. The route selection process in the AOMDV routing protocol is to consider the number of hops contained in the AOMDV routing protocol, so that the possibility of a broken link, therefore the need for the application of the method in conducting this research. The ant algorithm is one method that can optimize the process of finding a route in the AOMDV routing protocol. The ant algorithm in carrying out the route search is by calculating the distance between nodes. In the ant algorithm, the route selection is based on the most powerful pheromones, so the route chosen is no longer based on the number of hops. From the results of trials that have been carried out on the AOMDV routing protocol using the ant algorithm can improve the performance of the test throughput parameters of 9.7649 Kbps and the performance of the Packet Delivery Ratio of 11.2838%. Whereas the average end to end delay parameter can reduce the delay by 13.3093ms
Organizing and conducting experimental research in archeology

The role of experimental archeology in a deeper understanding of archeology is extremely important.Some experimental studies are conducted with the aim of studying and testing replicas of artifacts,while others are aimed at determining the effectiveness of various operations. Despite this, all experimentshave many common features related to the practical and physical aspects of theoretical testingand the study. However, the experimental research procedure should begin with the definition of aspecific hypothesis and goal. This article is devoted to the study of existing procedures for organizingand conducting experimental research, as well as the development of the best option with a clear definitionof each stages of the experiment. The theoretical basis of the study is the work of foreign authors ofthe mid.19th- early 21th centuries, devoted to the process and procedure for conducting experimentalresearch in archeology. As a result, we presented the optimal procedure for conducting an experimentalresearch consisting of five stages. In conclusion, we summarize that the proposed option for organizingand conducting experimental research can only increase the degree of evidence, since experimentalresearch in archeology have the ability to turn hypotheses based on these data into reasonable concepts.
REALTIME NEURAL NETWORK ALGORITHM FOR FULL-FRAME MARINE SURFACE OBJECTS RECOGNITION

The article explores modern neural network architectures for the automatic detection and recognition of marine surface objects and obstacles of given classes throughout the full image area, applicable for execution in real or near real time on an optoelectronic vision system to au-tomate and improve the safety of civil marine navigation. A formal statement of the problem of automatic detection of objects on images is given. The state-of-the-art algorithms for detecting objects in images based on use of artificial convolutional neural networks were reviewed, their comparison was made and a reasonable choice was made in favor of the most efficient neuralnetwork architecture in terms of computational complexity to recognition accuracy. The subject area is studied, as well as publicly available databases of surface objects suitable for use in the training of algorithms using artificial neural networks. The article concluded that there is insuffi-cient labeled data for training neural network algorithms, as a result of which the authors inde-pendently collected research images and video sequences, prepared and labeled the collected data containing surface marine objects and other obstacles that represent a navigation hazard for ships. Based on the selected neural network architecture, a new neural network algorithm for automatic full-frame detection and recognition of surface objects was developed, and an artificial neural network was trained using the prepared database of images of typical objects. The resulting algorithm was tested by the authors on a validation data set, the quality of its work was estimated using various metrics, and the algorithm’s performance was measured. Conclusions are made about the necessity to expand the collected database of images of typical marine objects, further steps are proposed to improve the accuracy of the developed software and algorithmic complex and its implementation to be used in a marine optoelectronic machine vision system for automa-tion and improving the safety of civil navigation.
Designing individual educational results of students in the process of additional education.

The article is devoted to the substantiation of methodological principles on the main components of pedagogical technology for designing individual educational results of students in the process of further education. The design of individual educational results of students is considered as a condition for individualizing the process of additional education and implementing the principle of inclusion, providing opportunities for self-realization of all students, taking into account the characteristics of their individual educational situation. The principles of orientation toward the zone of the child’s closest development, the events of the educational process and the principle of trial action are grounded as basic principles. The basic components of pedagogical technology for designing individual educational results of students in the process of additional education are characterized, which include: input diagnostics; goal setting; operationalization of individual group activity goals; organization of joint creative activity of students in the development of selected sociocultural practices; final diagnosis.
The Effect Of Internet Use Habit Toward English Achievement: Survey Study In Smp Al Azhar 8 Bekasi

Students nowadays interact more frequently through the internet using English. As an international language, English is used by most internet users, both by application companies and social networks, as well as by users. Internet usage can be more easily obtained, especially in big cities. This affects the students’ way of thinking, learning and behaving because they can learn everything easily and quickly through online media available at the internet. The aim of this research is to show the effect of internet use habit on English achievement for class VIII students at SMPI Al Azhar 8 in Bekasi. This research based on survey methods using technical correlational analysis. While the data and information were obtained by a questionnaire. The sample is taken with purposive sampling technique that is 44 students. Based on the results of the study, it can be concluded that: There is a significant effect of the habit of interacting through the internet on the English achievement. This is evidenced by the acquisition of the results of the Sig. 0,000 &lt;0,05dan t value = 4,365 which means there is a significant effect.
IMPROVING STUDENTS’ WRITING SKILL THROUGH THE USE OF DICTOGLOSS TECHNIQUE “A Study at Nahdlatul Ulama University of NTB”

Abstract This paper is intended to explain the use of the dictogloss technique to improve students’ writing skill at Nahdlatul Ulama University of West Nusa Tenggara. The use of the dictogloss technique for improving students’ writing skill can be represented in each stage of this technique. Moreover, as a technique for language learning, the dictogloss, has preparation stage, dictation stage, reconstruction stage, and analysis-correction stage which facilitate learners in which students work together to reconstruct a dictated-text. They reconstruct the dictated-text by using their own words or in other words they do not write exactly what the lecturer read. Furthermore, the use of the dictogloss technique give a clear advantages for improving students’ writing skill, such as provides an opportunity for learners to use their grammatical knowledge to reconstruct the dictated-text and also encourages learners to find out what they do and do not know about English which is realized in the attempts to reconstruct the text and in the subsequent analysis of those attempts. Besides, the dictogloss technique also contribute to the motivation, learners’ interaction, and grammar in context. Teaching the students grammar in context shows them how to apply various grammatical concepts.
Unique solutions of contractions, CCS, and their HOL formalisation

The unique solution of contractions is a proof technique for (weak) bisimilarity that overcomes certain syntactic limitations of Milner's “unique solution of equations” theorem. This paper presents an overview of a comprehensive formalisation of Milner's Calculus of Communicating Systems (CCS) in the HOL theorem prover (HOL4), with a focus towards the theory of unique solutions of equations and contractions. The formalisation consists of about 24,000 lines (1MB) of code in total. Some refinements of the “unique solution of contractions” theory itself are obtained. In particular we remove the constraints on summation, which must be guarded, by moving from contraction to rooted contraction. We prove the “unique solution of rooted contractions” theorem and show that rooted contraction is the coarsest precongruence contained in the contraction preorder.
DESAIN MODEL PURWARUPA AUGMENTED REALITY PATUNG KARWAR 4.0 SEBAGAI MEDIA PEMBELAJARAN SENI TRADISI BIAK PAPUA

One of the cultural arts of the Papua Biak tribe that is still maintained in traditional ceremonies is the wor tradition and the making of karwar or korwar statues. Karwar statue as a shadow of the spirit and where Nin lives. The spirit of karwar or arawah gives the strength to look after the family, the garden, bring rain, keep away diseases and so on. The re-introduction of the karwar statue using AR technology is one way for young people to be interested in the existence of Biak tribal arts and culture. This study used a static visualization method that shows phenomena or processes in the form of a representation of the design path of the AR PASUA PA prototype model specifically the spatial and temporary entities of the AR Karwar Biak Papua Statue. The results of this study illustrate the modeling concept and procedure model developed in the design of the AR Karwar 4.0 prototype model by considering the needs of users and the problems of artists, connoisseurs and pedagogic of cultural arts learners, especially the cultural arts of Biak Papua
Pengaruh Model Team Quiz Terhadap Hasil Belajar IPS Siswa Sekolah Dasar Kota Padang

Model Team Quiz aims to determine the effect of the Team Quiz model on the learning outcomes of IPS students in grade IV of the elementary school year 2016/2017. This research uses an experimental research type (quasi-experiment). The population is all students of class IV SDN 10 Sungai Sapih consisting of class IV A to IV E which is determined by cluster random sampling technique so that obtained class IV A as experimental group and class IV B as a control group. The results showed that the t-test with a significant level of 5% (0.05) obtained t arithmetic (3.637)&gt; t table (1.668). This means that there is a significant influence of the use of the Team Quiz model on the learning outcomes of IPS students of grade IV SDN 10 Sungai Sapih Kota Padang.
MODEL PEMBELAJARAN QUANTUM LEARNING DENGAN MEDIA SQUARE BOARD TERHADAP HASIL BELAJAR SISWA PADA MATERI SEGIEMPAT

This research aims to determine the effect of Square Board Media with Quantum Learning model on learning outcomes, student and teacher activities and student responses in class VII-D students of Muhammadiyah 2 Junior High School Surabaya. This research is a type of quantitative research with the True Experimental method. The design used in this study is Pretest-Posttest Control Group Design. Samples taken were 52 students consisting of 26 experimental class students and 26 control class students. The results showed that the average final test score in the experimental class was better than the average test final score in the class control; (2) The most dominant student activity occurs is the activity of students "discussing with groups and actively participating in activities" with a percentage of 33%; (3) Teacher's activity in managing learning gets an average score of 3.5 with very good criteria; and (4) Student responses to learning showed that ≥ 90 students respond positively. Thus, it can be concluded that mathematics learning with Square Board Media has a positive and significant effect on class VII-D students of Muhammadiyah 2 Junior High School Surabaya&#x0D; .