Reviewerly/exHarmony huggingface dataset:
Acquisition and Utilization of Mental Imagery Capability in Robotic Action Sequencing Tasks

This work presents a series of neurorobotic models underlying learning in robots. It demonstrates the way in which, during sensorimotor exploration, robots do not just gain knowledge about how to form movement primitives but also obtain a mental imagery capability. Mental imagery plays a key role in these computational models by accelerating learning processes of action sequencing tasks. The first experiment involves permitting a humanoid robot to learn how to retrieve an out-of-reach object using a provided tool. This experiment explores a phenomenon on tool use development found in human infants. In addition, it tests two hypotheses on tool use development. The second experiment extends the domain of robot learning by targeting a useful robotic application. It drives a service robot to learn to acquire knowledge of how to manipulate perceived objects based on the objects’ information and a goal from users. By means of planning, learning the sequence of actions in mind, the robots are able to learn by examining actions’ outcome without really performing actions. This allows the second model to completely exclude parts of overt movements from the training loop. The results confirm that two types of robots can complete their given tasks in a reasonable period of time. The proposed models would benefit robotic applications in terms of online learning.
The development of vocabulary for early-grade elementary-school students

Vocabulary mastery is very important for measuring the elementary-school students’ achievement.. The amount of vocabulary in the student book reflects the standard of proficiency vocabularies should be achieved for certain level. This study aims to describe the development of vocabulary in the books of early-grade elementary-school students (level 1, 2, 3) and shows the number of vocabularies. Each level has eight books/themes. Therefore, this study uses 24 books. In this study, we apply lema ‘entry’ application as the documentation method. The results of the study showed that the highest number of vocabularies is in grade 3 theme 7, the least is in grade 1 theme 6. The highest of vocabulary in grade 1 is 2105 (theme 3), grade 2 is 2328 (theme 5), and grade 3 is 2383 (theme 7). The development of vocabulary does not always rise from one theme/level to the theme/class above it. Writing books for the student should consider increasing vocabulary, not just the number of words or pages.
Mixnet Face Recognition How Combing 2D and 3D Data Can Increase the Precision

Abstract Great breakthrough has been made on Classic 2-D face recognition in normal environment. The facenet [1] proposed by Google in 2015 has 99.65% accuracy on LFW dataset. It can be considered that the performance of traditional 2-D network in normalized environment such as security check and bank is reliable enough. However, the accuracy of 2-D face recognition will significantly reduce when processing angular faces or occluded face. This paper claims that the lack of depth information is the reason why the recognition ability of neural network is inferior to that of human beings under complex conditions. Furthermore, we have proposed a method, which can obtain 100% accuracy on both Texas and Bosphorus dataset by using both 3-D deepmap and 2-D rgb picture as input.
Writing Brochure as Apart of Learning Material Development in Writing for Media Subject

Writing brochure is one of the material given to the English department students of Politeknik Negeri Padang (PNP) in Writing for Media subject.Realizing that writing brochure is different from academic writing, it is a need to formulate a model of writing a brochure as a part of learning material development in Writing for Media subject.This Research and Development used ADDIE Model (2015)and implements only 2 phases, analyzing and designing phase.In Analyzing phase, Curriculum analysis and Need Analysis were done.For curriculum analysis, observation and interview were conducted to determine the basic competence that need to be reached by the student and its appropriateness with the available learning material.Then,
Analyzing the Relationship between Media Usage and Immersive Tendency

Many studies have applied immersion tendency to divide users and predict their immersion before experiments. The immersion tendency questionnaire (ITQ) has been widely adopted in the measurement and classification of subjects. This study found that the results of dimension division were not consistent with the original ITQ (18 items) dimension division through factor analysis. Moreover, the present study showed that the media forms involved in items had certain influence on the division of dimensions through the analysis of the content of items. Further canonical correlation analysis proved that media usage was highly correlated with the immersion tendency measured by ITQ. These results suggested that the influence of media usage should be taken into account when revising or supplementing ITQ in future studies.
A Domain-Oriented Double Dictionary Forward Traversal Method for Fine Corpus Extraction

Improving audit intelligence requires computers to understand the semantics of audit information. At present, the researches on the related field of the intelligent information processing show that, the basis of intelligent information processing is the natural language understanding. This paper which combines the construction technology of corpus researches the basic methods and techniques on the construction of audit corpus. According to the text features in social security audit field, the paper proposed dual dictionary secondary forward traversal keyword extraction method which combines the specialized dictionaries obtained and general dictionaries, which is applied to text processing in social security audit, acquiring corpus of the field. The experimental results show that the proposed method can well divide, extract and discover the conceptual knowledge of field.
Experience Design for Kids: Phygital Product for Augmented Pedagogy

The paper aims to highlight the active role that some tools have assumed within the playful activity of today’s children. It is intended to underline, how the connection of the digital world with the world of toys allows to expand the games from traditional ways to create new possibilities of play and active learning for an augmented pedagogy.
OPPORTUNITIES FOR DEVELOPING MATHEMATICAL ABILITIES PRESCHOOL CHILDREN BY PSYCHOLOGICAL METHODS INTENSIFY THINKING

This article analyzes the problem of the development of mathematical abilities of preschool children by the methods of psychological activation of thinking. The conditions, the specifics of using the methods of psychological activation of thinking in the process of forming mathematical representations and concepts in children of 4-7 years of age in the practice of DOO (preschool educational organization) are determined, the methodology and results of the study of this process are described.
Part-based long-term tracking via multiple correlation filters

Compared with short-term tracking, long-term tracking is a more challenging task. It need to have the ability to capture the target in long-term sequences, and undergo the frequent disappearance and re-appearance of target. Therefore, long-term tracking is much closer to realistic tracking system. But few long-term tracking algorithms have been done and few promising performance have been shown. In this paper, we focus on long-term visual tracking framework based on parts with multiple correlation filters. First of all, multiple correlation filters have been applied to locate the target collaboratively and address the partial occlusion issue in a local search region. Based on the confidence score between the consecutive frames, our tracker determines whether the current tracking result is reliable or not. In addition, an online SVM detector is trained by sampling positive and negative samples around the reliable tracking target. The local-to-global search region strategy is adopted to adapt the short-term tracking and long-term tracking. When heavy occlusion or out-of-view causes the tracking failure, the re-detection module will be activated. Extensive experimental results on tracking datasets show that our proposed tracking method performs favorably against state-of-the-art methods in terms of accuracy, and robustness.
Research on the Data Analysis of College Classroom Teaching Behavior by Using Deep Learning

With education stepping into the era of intelligence, intelligent classroom behavior recognition of students is becoming more and more important.However, due to the complexity and variety of students' classroom behavior, it is difficult to recognize intelligent students' classroom behavior.In order to improve the intensive reading of intelligent student behavior recognition, this paper uses a variety of data sources for cross comparison, and uses the mature random forest algorithm and correction matrix in the data analysis of classroom teaching behavior in Colleges and universities.Through the analysis, it shows that deep learning can timely and accurately feedback the classroom teaching phenomenon and the data and intelligence of teaching activities, which is conducive to the improvement of teaching methods, the optimization of classroom teaching and management, to improve the efficiency of teaching and learning and help the teaching reform.
Pengembangan Aplikasi Manajemen Informasi Magang Terowongan Angin Kecepatan Rendah Indonesia

&lt;em&gt;An &lt;/em&gt;&lt;em&gt;internship information management application at Indonesian Low Speed Wind Tunnel facility is useful for supporting managerial tasks related to internship activities, ranging from registration, task allocation, task implementation supervision to evaluation of the work results of the apprentices. This application is expected to not only support productivity and performance, but also provide input for management in making decisions related to the employment of apprentices in order to realize a synergy that has a positive impact on the smooth process of the wind tunnel test service business as a whole. To realize it, a software engineering activity by adopting prototyping methodology is carried out to build the application to be then operated in a desktop platform and be used as needed&lt;/em&gt;
He box of surprises: Pedagogical strategy to strengthen reading literacy competence in 1st grade students at the Eustorgio Colmenares Baptista school

The little box Surpresas” project is a pedagogical strategy to strengthen reading literacy competence in 1st grade students at the Eustorgio Colmenares Baptista school, focused on improving reading literacy in the first years of schooling. According to the above, the general objective of the research project sought to strengthen the literacy competence in students of 1st grade of the Eustorgio Colmenares Baptista school through a pedagogical strategy, through the implementation of a pedagogical proposal based on classroom projects. The research was governed by a qualitative methodology of action research type that allowed to carry out the degree project and respond to the problem raised. The pedagogical proposal was based on classroom projects with various activities and the implementation of different strategies that favor the reading process.
Building Provably Secure Block Ciphers from Cryptographic Hash Functions

This paper presents a proposal for the construction of provably secure block ciphers based on cryptographic hash functions.The core idea consists of using a hash function to generate pseudorandom strings to be combined with the message blocks.Each one of these strings depend on the previous ciphertext block (or the initialization vector, in the case of the first message block), the secret key k and a block key derived from k.One of the main features of the proposed construction is that it allows keys of arbitrary length, since the key itself is never directly combined with the message.Furthermore, even if an adversary manages to guess all of the block keys, he can't efficiently retrieve the master secret key or the message, provided that the underlying hash function is cryptographically secure.Finally, the proposal also embeds an authentication tag in the initialization vector.Hence, instead of being randomly chosen, the IV is always dependent on the key and the message, which is crucial to generate confusion, diffusion and avalanche effect, since any minor change in the key or in the message will cause the IV to be drastically different, due to the properties of the HMAC, and because of the chained nature of the construction, this change will propagate to all ciphertext blocks.
Corrigendum to "Post-metamorphic K-metasomatism of high-grade rocks – A new concept in geology" (Journal of the Geological Society of Sri Lanka, Vol.18, 2017, pp.01-19)

Journal of the Geological Society of Sri Lanka is a peer-reviewed and open access journal published by the Geological Society of Sri Lanka. It aims to publish the most topical and highest quality papers, summarizing the results of recent research across all sub-disciplines of the Earth Science. Papers are frequently interdisciplinary covering both pure and applied fields of Geology. Contributions often refer to local, regional and/or international studies and emphasize the development of the understanding of fundamental geological processes.
DIDACTIC SKILLS IN THE FIELD OF DEVELOPING CREATIVITY AND INNOVATIVENESS OF A STUDENT

The authoress of this article highlights the areas of mutual connections and dependencies between theory and practice of students’ creative development, making at the same time an attempt to show creativity against the background of didactic competence of a teacher. She describes the discussed creativity in the teachers’ attitude primarily as an incessant search for better didactic solutions, discovering new learning opportunities and challenging the hitherto accepted assumptions of working with students. She points out that the leading trait of the teacher’s creativity is also the ability to look for different ways of solving the same problem. In this article creative educational initiatives are analysed as well, they are perceived as a chance of creating more effective methods for a teacher to work with his or her students and facilitate their development and growth on many creative levels.
Model Pengolahan Kas UMKM Sampah Organik untuk Pakan Cacing menggunakan Finite State Automata

Financial processing is currently widely used for business purposes. The business includes small and medium businesses. With these small and medium businesses, the system used still uses financial processes manually in its processing. As a result, there are often errors in the calculation process as well as income and expenditure. And not the same as the results of the calculation. In this cash processing application system, it can help small and medium entrepreneurs to calculate large amounts of data. And will reduce the error rate. The application model is designed using Finite State Automata. With this model, it can be seen that the value of the design testing process shows that the first and second designs have smaller processing processes compared to the third design. It can be said that to conduct data processing in a large way the third design is more accurate than the first and second. It is hoped that this application can be applied by other small and medium micro-entrepreneurs, and can assist in carrying out a more efficient financial management process.
The Development of a Live Air Cleaner as Indoor Garden for an Unventilated Air Conditioned Room

Urban temperatures continue to increase due to urban heat island and global warming. Air temperatures in warm, humid tropical cities have exceeded 32oC. To achieve thermal comfort in buildings, people adopted air conditioners (ACs) that can consume more than 40% of the buildings electrical energy. Air conditioning is often not accompanied by a supply of fresh outdoor air to minimize heat gain from the warm outdoor air. In that unventilated room, the CO2 concentration easily exceeds 1,000 ppm and causes discomfort. Plants such as Dracaena sanderiana require CO2 for photosynthesis. At the same time, they produce O2. Dracaena sanderiana has the potential to keep CO2 concentrations in the room for not exceeding the comfort limit. That plant can be integrated into architectural elements, both interior and exterior (combined with windows or facades), in the form of a "living air purifier" or Live Air Cleaner (LAC). This research developed a LAC in the form of an interior garden that can be used as an interior architectural element. The application of LAC helps to save the electrical energy of unventilated air-conditioned rooms while preventing the room CO2 concentration from reaching the maximum limit of indoor CO2 level acceptable to humans. The research adopted experimental methods using three experiment chambers to measure the Dracaena sanderiana’s CO2 absorption efficiency. The experiments found that Dracaena sanderiana had a unique performance, which should be considered when it is used as a live air cleaner. Though this plant absorbs CO2, its efficiency is low. Sufficient volume of Dracaena sanderiana is needed if it is to reduce indoor CO2 concentration. Keywords: Live Air Cleaner, Air conditioning, Indoor garden, CO2 absorption
WRITING PERFORMANCE OF ISLAMIC UNDERGRADUATE STUDENTS IN THE ISSUES OF INTEGRATION TECHNOLOGY AND LANGUAGE LEARNING

This work aims at measuring the performance of students in writing an essay in three critical aspects, namely the material of the writing, comprehension aspect, and student’s feedback. The essay comes from a mid-term writing test for Islamic undergraduate students using content that relates to the student’s field of expertise. The data is analysed using a mixed method that is descriptive quantitative-qualitative. First, the authors utilize a premium online application to notice the extent of correctness, clarity, engagement, delivery, and readability. Second, the author explores information about student’s response to the implications of integration technology in language learning with the Grammarly online as an automatic-evaluation writing performance. The results signify that the issue of correctness mostly appears with an average value of 24.3 or 292 cases in a total of 593 material writing problems. The other hands, the quality of writing based on the readability score shows that most of the writing is more suitable to be read by at least readers with the senior high school levels (10th grade-students). It is in contrast with the level of education who made the essay. Student feedback emphasises the suitability of applying Grammarly in language learning both individually and in a working group. Suggestion for education managements is that every student from various major needs to improve the quality of writing, of course, by involving qualified lecturers and appropriate applications. In the future, the utilization of teaching-learning technology in English writing is needed and strengthened with lecturer guidance.
CRIMINAL ACTS AGAINST SECURITY OF COMPUTER DATA

The Criminal Code of the Republic of Serbia, in part twenty-seven, prescribes criminal offenses that have computer data for their protective object.Pursuant to this chapter, the following offenses are regulated: damage to computer data and programs, computer sabotage, creation and introduction of computer viruses, computer fraud, unauthorized access to a secure computer, computer network and electronic data processing, preventing and organizing access to a public computer network,
A dense optical flow registration algorithm based on deep learning

Traditional image global registration algorithms are limited in principle and cannot accurately register large depth of field scenes or moving objects. The local registration method based on dense optical flow has the advantage of not being limited by a single transformation matrix, so that a better registration result can be obtained. However, traditional dense optical flow algorithms are limited by large computational complexity and are difficult to achieve real-time estimation, thus limiting their application. In recent years, many dense optical flow algorithms based on deep learning (such as PWC-Net) have emerged, which have achieved the effect of surpassing traditional optical flow algorithms on public datasets and can be estimated in real time. Based on this, this paper proposes an algorithm flow based on deep learning to predict dense optical flow and use it for registration. And a self-built optical flow data set for supervised learning of the network has also been proposed. Using the same network, the registration results of our datasets are better than those of existing datasets.
Deep Integration of Innovation-Entrepreneurship Education and Professional Education

Reform of innovation-entrepreneurship education is an important way to improve the quality of higher education.Taking Logistics Engineering of Minjiang University as example, how to solve the integration of innovation-entrepreneurship education and professional education are discussed.Firstly, the management institute should be built and the corresponding rules should be formulated, which is key component of the top-level design of university.Secondly, construction of curriculum system is critical for education reform, which contain innovation-entrepreneurship education idea, practice teaching and second course.Finally, the mechanism of implementation and guarantee is analyzed.The integration of innovation-entrepreneurship education and professional education is important throughout four years of study.
DIAGNOSTICS OF STUDENTS’ REFLEXIVE ABILITIES TO SEFL-REGULATION AND THEIR REFLEXIVE SKILLS AT THE COGNITIVE LEVEL

The article examines theoretically and methodologically the issue of students’ reflexive abilities to self-regulation, which are used at problem solving, at the cognitive level of reflexive experience functioning. Together with the theoretical review of this topic, we tried to operationalize it, to find the indicators reflecting quantitatively the formed reflexive abilities, and to empirically evaluate students’ self-regulation and cognitive skills.&nbsp;&nbsp;&nbsp; We used the scale “Tasks for development of reflexive ability to self-regulation” from O.Savchenko &amp; Y.Domanova’s method “Life Tasks for Self-Development” to evaluate the actual state of examined indicators-tasks revealing student’s self-regulation. The obtained data allowed us to conclude that the most actual tasks for the most respondents was: “to develop the abilities to understand own emotions and use them as hints in difficult situations”; “to control own emotions and actions, adjust the speed and term of executing tasks, not to put off task till the last moment”; and “to assess situations and own states quickly, relate them to the purpose of activities”. We evaluated the average indicators of reflexive abilities at the cognitive level with O. Savchenko’s method “Reflexive abilities (cognitive level)”, namely with the scales of “Abilities to explain to Self and others the course of own thinking, reasons for choosing certain solutions or strategies”; “Ability to understand own emotional feelings, control their flow, support feeling of confidence”; “Ability to extensive reflexive thinking, to analyze the reasons of own actions and failures”; “Ability to manage solution searches, to verify own assumptions”; “Ability to evaluate results by different criteria, to formulate value judgments”; “Ability to understand various aspects of a decision-making process: cognitive, emotional and behavioral” and the overall level of reflexive abilities at cognitive level. We can conclude from the obtained empirical data that students in average had the lowest reflexive abilities at the cognitive level with the scale of “Ability to evaluate results by different criteria, to formulate value judgments”. The overall level of students’ reflexive abilities at the cognitive level was average.&nbsp;&nbsp;&nbsp; &nbsp