Reviewerly/exHarmony huggingface dataset:
Void detection for UAV based on optical flow and vanishing points

Indoor micro aerial vehicle (MAV) navigation is mostly based on high-computational cost obstacle detection algorithms. In this paper, we propose a path planning framework based on perspective cues. The vanishing points were detected by using the Hough-Canny transform. Due to the cluttering, multiple vanishing points candidates are arranged according to the proximity to the optical flow focus of expansion. Obstacles' depths are detected via the optical flow vector clustering. When multiple planes are recognized, the elected vanishing point is considered the center of the furthest empty plane from the camera. This remark guides the direction of the MAV to a particularly free-of-obstacles void area. Preliminary experimental results indicate that the proposed method is faster than other visual-based navigation algorithms.
Classificação de Sotaques Brasileiros usando Redes Neurais Profundas

The automatic classification of accents has several potential applications, for instance, the identification and authentication of users, forensic investigation tools and the selection of specialized models in text-to-speech and speech-to-text systems. In this work, several architectures of artificial neural networks were evaluated in the problem of accent classification. The performance of these architectures was compared with the methods GMM-UBM, GMM-SVM and iVector. Experimental results show that 5 out of 6 architectures achieve better values of accuracy, precision and recall than the previous methods. The best architecture reached 90\% of accuracy, with precision, recall and F1-score of 0.92, 0.84 and 0.87, respectively.
A Logic of Actions Revisited

&lt;p&gt; &lt;/p&gt; &lt;p&gt;We propose a theory for reasoning about actions based on order-sorted predicate logic where one can consider an elaborate taxonomy of objects. We are interested in the projection problem: whether a statement is true after executing a sequence of actions. To solve it we design a regression operator that takes advantage of well-sorted unification between terms. We show that answering projection queries in our logical theories is sound and complete with respect to that of in Reiter’s basic action theories. Moreover, we demonstrate that our regression operator based on order-sorted logic can provide significant computational advantages in comparison to Reiter’s regression operator.&lt;/p&gt;
Metacognitive awareness in the structure of personal potential of students

traits represent stable individual characteristics that mostly derive from individual genetic endowment.
Additional professional education of a college teacher as a factor of professional growth

The article is devoted to the problem of additional professional education of teachers, which is considered as the dominant factor in their professional growth and development. The article contains the results of an experimental study, in which the effectiveness of the author&amp;apos;s variable technologies for building a system of additional education for teachers in college was tested. The authors substantiate the relevance of the study, determine the criteria and indicators of professional growth of a college teacher, reveal the main conceptual provisions of the organization of advanced training courses in the college and assess the effectiveness of their implementation in a holistic pedagogical process. The results of the pedagogical experiment, in which 65 teachers with different experience of pedagogical activity took part, allowed the authors to conclude that it is necessary and expedient to implement in the college variable programs of additional education for teachers, developed taking into account the peculiarities of professional development initially diagnosed in them and determined on this basis adaptive, activating, stimulating and transforming types of trajectories of their professional growth.
Implementation of Distance Learning Activities Processes During the Covid-19 Pandemic at SDN 1 Selajambe

Social distancing is urgently applied to break the chain of transmission of the Covid-19 outbreak so that all work and education activities are conducted at home or often called WFH (Work From Home). The research technique used here was descriptive qualitative research, intending to understand the process of implementing learning activities during distance learning as well as the supporting and inhibiting variables for distance learning implementation at SDN 1 Selajambe. Observations in this study were carried out on the Principal, and Class 4 Teacher of SD Negeri 1 Salajambe. The data collection techniques were observation and interviews. The result shows that the process of learning activities during the pandemic conducted through online learning techniques. Teachers can use various applications such as the Ruang Guru Application, Google Classroom, Zoom, Google Docs, Google Form, or WhatsApp groups. Apart from online, there are also offline activities by forming study groups.
PENINGKATAN KETERAMPILAN BERBICARA DALAM BAHASA INGGRIS BERBASIS PARIWISATA BAGI SISWA SD DI DESA HUTARAJA

Abstract&#x0D; English language speaking mastery is a basic need for people who rely on the tourism sector. Just like people who live in Hutaraja, this need is crucial to them in selling their creation to the tourists moreover to the foreign tourist who often visit Hutaraja. Sadly, this chance must be faced by the people of Hutaraja who do not master any English language speaking mastery. This problem encouraged to the implementation of this training. This training had given positive result to Hutaraja’s people English language speaking mastery. However, further training is needed in order to enhance English language speaking mastery of people in Hutaraja so that they can have better insight and better English language speaking mastery in communicating with foreign tourists who visit Hutaraja.&#x0D; &#x0D; Keywords: Training; Basic Skills; Speaking; English&#x0D;
The development of eye-tracking and pupilmetrics in the assessment of cognitive load

The experiment recruited 8 and 33 university students for pilot and formal study, respectively.Thirty
Sistem Pakar Deteksi Dini Gejala Poliycystic Kidney Disease (PKD) Menggunakan Metode Forward Chaining Berbasis Android

The purpose of this study is to build an application with the forward chaining method used to diagnose Polycystic Kidney Disease based on Android. The research method consists of analysis and design, while the use case diagram is used as a model of the system to be built, Forward Chaining is implemented in the system to diagnose Polycystic Kidney Disease and the application is built based on Android. The conclusion from the results of this study is to show the application features that are made to run. An expert system application designed to be able to help Polycystic Kidney Disease based on the symptoms entered by the user using the Forward Chaining method.
Rancang Bangun Sistem Informasi Data Kebudayaan Pada Instansi Pemerintahan Menggunakan Framework CodeIgniter

This research was made with the aim of building an information system for processing cultural data in government agencies. The case study of this research is at a special government agency for the Tangerang area, to be precise at the Disporabudpar (Department of Youth, Sports, Culture and Tourism) Tangerang Regency. This service has important tasks, namely preparing policies, coordinating, fostering and controlling in the field of Culture. In carrying out their duties, both in programs and in cultural activities, they usually include the activities of compiling, collecting and analyzing data and information. For now, this Tangerang Regency Disporabudpar government agency does not yet have a computerized information system in managing cultural data and there is no use of a database system regarding cultural data, so that the data storage process is still manual and still not effective in terms of security. These data are only stored in ordinary documents, so they are less than optimal and ineffective in the processing of cultural data. In this study, the CodeIgniter Framework is used, which is a powerful PHP framework that is elegantly built to create a full-featured Web application. For the analytical method, this study applies the PIECES (Performance, Information, Economy, Control, Efficiency and Services) method in order to create a more optimal design of information systems in presenting data and information, especially Cultural Data in government agencies.
SCALABLE COLLABORATIVE APPROACH FOR PRIVACY PRESERVATION IN LOCATION BASED SERVICES

Location based services have potential due to promising technologies in mobile communication, and information services.LBS users use their location information to get important information from the service providers.There are many popular applications like maps & navigation, information services, Tourist information service, social networking, etc. LBS users need to submit their location and personal information to the location based service providers.i.e.: Location Information & Personal Identity.Location privacy refers to unauthorized users who should not be able to trace the exact location information of the user.Unauthorized users should not be known or reveal the private information of the users during communication.Location and communication privacy & security are the most challenging issues in LBS.Collaborative approach is the fully distributed approach where trusts are distributed among each peer that performs their task mutually.It uses cryptographic approaches that provide highest location privacy and security in LBS.Nowadays; the growth of LBS users is increasing rapidly.Currently, none of the approaches are there that support scalability features.It's a challenge to design a computationally efficient and practical solution that provides strong privacy by reducing the processing overhead that improves scalability.The proposed approach provides privacy, high fault tolerance, strong resilience against security and privacy attacks, support scalability and reduced cost.
A UML profile for quality-based web service selection using logic scoring of preference method

In the modern information infrastructure, Web services have a very important role. Web services are one of the main tools for information creation, delivery and processing in society and economic life; for the formation and further evolution of the information space. Among the existing and constantly growing number of Web services, in a natural objective way, there are many Web services with the same or similar functional properties. This makes it possible to select among them such Web service that best satisfies the consumer’s requirements and is most suitable to consumer’s preferences on quality characteristics, for instance, cost, reliability, response time, etc. On the other hand, the consumer is not always possible to decide which Web service is the best from his point of view, because Web service has multiple quality characteristics. In this regard, many researchers formulate the problem of quality-based Web service selection as a multi-criteria decision-making problem and integrate the facilities for the decision-making into decision support systems. One of the methods of multi-criteria decision-making is the Logic Scoring of Preference (LSP) method. Given the current trends in the transition from document-based to model-based systems engineering, it is expedient to provide the design templates (meta-models or profiles) for the decision-making support systems developers. In this paper, a UML profile to design the quality-based Web service selection systems using the LSP method was proposed. Standard UML extension mechanisms (stereotypes, tag value definitions, and constraints) to capture the basic quality properties of the Web service and the rules of applying the LSP method operators for this profile were used. The efficiency of the proposed profile by the examples of modelling the LSP aggregators to aggregate the Web service quality characteristics was demonstrated. The correctness of the models created using the proposed profile in the MagicDraw modelling environment was verified.
Robot Path Planning Based on Improved Reinforcement Learning

With the continuous progress and development of robotics, mobile robots have been widely used in many different fields. In the power grid, mobile robots are used to inspect electrical equipment, which greatly reduce the investment of manpower and material resources. However, in many cases, mobile robots need to work in a constantly changing and complex environment. Because they cannot obtain environmental information in time, it is often difficult to make path planning. In response to this problem, this paper proposes a path planning method for mobile robots based on improved reinforcement learning. This method establishes a grid environment model, defines the return value through the number of steps of the robot, and then proposes a changing action selection strategy for the balance between the robot’s exploration and utilization of the environment in reinforcement learning, so that the exploration factor dynamically change with the increase of the robot’s exploration degree of the environment, thus speeding up the convergence speed of the learning algorithm. Simulation results show that this method can realize autonomous navigation and path planning of mobile robots in complex environments. Compared with traditional algorithms, it greatly reduces the number of iterations.
Sistem Pakar Diagnosa Gangguan Pencernaan Pada Manusia Menggunakan Metode Certainty Factor

Along with advances in science and technology, especially in the field of medicine, more sophisticated medical equipment will be produced in fighting disease or making early detection of disease so that treatment can be faster. One of them is digestive disorders in humans. The purpose of this study is to build an expert system application that is able to diagnose digestive disorders in humans based on the symptoms experienced by implementing the Certainty Factor method. The development of an expert system uses the waterfall model, which consists of the stages of analysis, formulating problems, collecting data, and testing. The implementation of the Certainty Factor method in this expert system is used to generate a level of confidence in the diagnosis of the disease. The expert system was tested through 3 stages of testing, namely blackbox test, validity test and user test. In the blackbox test, the system functions run as expected. In the validity test, the system is declared valid for use. In the user test, respondents gave the criteria of "Eligible". From the results of the study, it can be concluded that the system is able to provide a trust value and can diagnose digestive disorders based on the symptoms entered by the user. Because the system is still limited, it is hoped that there will be system development with other methods so that it is more useful for users
Virtualization Effects on The Security

Virtualization is a technology which provides the efficient and effective usage of computing system .the computing system is not only a single personnel system but also a system consisting of multiprocessors systems. To use the system efficiently &amp; effectively. We will be using virtualization technology .now a days business world is very competitive .customers demanding for new products this technology will provide opportunity to produce new products with the same resources with the existing infra structure. Within this technology one important issue is the "security”. It has changed the classical definition of security. The classical definition suggest that try to detect the security violations at the first place and then take the action but with the virtualization we can create the separate environment for security related application that would not effect the trusted information with the system .The concept has change the scenario of security related solutions by inviting the malicious from the communication system &amp; executing them with the separate virtualization machine environment that would not affect the trusted information with the same system
Transcendental Logic-Based Formalism for Semantic Representation of Software Project Requirements Architecture

This article is devoted to the analysis of the situation that has arisen in the practice of using artificial intelligence methods for software development. Nowadays there are many disparate approaches, models, and practices based on the use of narrow intelligence for decision-making at different stages of the life cycle of software products, and an almost complete lack of solutions brought to wide practical use. The article provides a comprehensive overview of the main reasons for the lack of the expected effect from the implementation of Agile and suggests a way to solve this problem based on the use of a self-organizing knowledge model. Based on the heuristic usage of transcendental logic in the terms of &amp;quot;ontological predicates&amp;quot;, such a model makes it possible to create a formalism of the semantic representation of the requirements architecture of a software project, which could provide semantic interoperability and an executable semantic framework for automated ontology generation from unstructured informal software requirements text. The main benefit of this model is that it is flexible and ensures the accumulation of knowledge without the need to change the initial infrastructure as well as that the ontology inference engine is the part of the mechanism of collective interaction of active elements of knowledge and not some externally programmed system of rules that imitate the process of thinking.
STUDI KOMPARASI HASIL BELAJAR IPS DENGAN MENERAPKAN METODE ROLE PLAYING DAN METODE CERAMAH BERVARIASI DALAM PEMBELAJARAN IPS SISWA KELAS VII SMP NEGERI 2 JAKENAN KABUPATEN PATI

Based on the fact in the field that the students learning outcomes using a variety of lectruring methods on social science learning proces are not yet completely succes. The aim of this research is to know the students learning aoutcomes comparation between role playing method and lecturing methods on social science learning proces of first grade students of junior high school 2 Jakenan Pati. The result of this study shows that there are a significant differenciation on students learning outcomes of experimental group compared control group. The afective obeservation result is on 16,58 range score which means being in a medium category and the control group is on 16,26 range score which means in a medium category too. Based on t-test results , the deviation score between the learning outcomes on experimental group and control group is 3,249 , score of thitung &gt; ttabel (3,249&gt;2,397). The experimental group got an increasing learning outcomes range on 22,76 and 10,69 for the control group.
Development of Multi Platform Geographic Information System Assessment of Prospective Bidikmisi Students Using Reuse Driven Software Development Process Method

One form of selection for new student admissions at Polsri that prospective students can choose is PMDK-PN Bidikmisi (Penelusuran Minat dan Bakat Politeknik Negeri).This selection is specifically for prospective students who have achievements in various fields and are economically disadvantaged.The selection stage on this route carried out by Polsri is to assess all the achievement criteria possessed by prospective students.Furthermore, Polsri will verify the data provided by prospective students by visiting their homes.The problem that often arises at this stage is that Polsri does not yet have a map depicting the home addresses of prospective students, making it difficult for lecturers to make visits.In addition, the assessment still uses paper documents so that it is often troublesome for the assessors.In the study, we tried to create a geographic information system for assessing prospective PMDK-PN Bidikmisi students in Polsri to overcome problems during the process of accepting new Polsri students.This geographic information system is in the form of a web application created using a system development method based on reuse.The web application will be built based on the components contained in the CodeIgniter framework library and components created by the developer.The use of these components in web applications results in an efficient, effective system and without changing system functionality.
SHINY OFFICE-R: A Web-based Data Mining Tool for Exploring and Visualizing Company Profiles

The profile of institutions or companies are often measured internally, nationally and internationally using several indicators that may be changed over time.We develop SHINY OFFICE-R a Web-GUI (Graphical User Interface) using R software to explore and visualize data on institution performance/ profile.Graphical visualization (such as bar-plot, line-plot, histogram, biplot and path diagram) can help a lot in gaining the insight of the data.The programs are flexible to accommodate different types of indicators that may be assigned for broad types of institutions and companies.In this paper we describe the main features of the program and illustrate application of the GUI using simulated data having various type of performance indicators (say local, national and international indicators).Various graphics visualizations are illustrated according to the objective of data explorations.Furthermore, our web GUI will be available online, so that it can be easily accessed and applied to explore and visualized the profile of users' institutions or companies that possibly have different types of indicators.
The role of workload prediction in reducing datacentre energy costs

&lt;div&gt;&lt;b&gt;[Para. 1 of Summary]&lt;/b&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;It’s not a stretch to say information technology services have become near-essential in North America today. On average we now connect to more than 22 applications daily and generate two GB of data while we’re at it, says Salam Ismaeel, a PhD candidate at Ryerson in the Department of Computer Science. “More than 77 percent of today’s businesses,” he adds, “rely on the Internet and data center resources.”