Reviewerly/exHarmony huggingface dataset:
Robot Imitation by Action Understanding, Mirroring, and Interactions

Author(s): Liu, Hangxin | Advisor(s): Zhu, Song-Chun | Abstract: This dissertation rethinks the problem of robot imitative learning given human demonstrations and proposes a holistic framework to unify three challenges: (i) understanding the actions being imitated, (ii) producing proper imitative behaviors, and (iii) interacting effectively with humans. Considering a complex manipulation task of opening medicine bottles, some key actions of pushing or squeezing are critical in unlocking the bottles, but can hardly be recognized from pure visual observations. Therefore, a glove-based system is firstly presented together with a demonstration collection pipeline to understand the actions from a functional perspective that incorporates hand movements and goal states and from a physical perspective that focuses on the forces to reach the states. This heterogeneous information is integrated by a Temporal And-Or Graph (T-AOG) grammar representation, which also captures the hierarchical structure of the task. Sampling from the T-AOG generates a valid action sequence to accomplish the task. To transfer this skill to a robot, a mirroring approach is then proposed for a robot to infer functionally equivalent actions that can produce a similar force pattern in a physics-based simulation and achieve the same goal in changing object states, naturally bridging the action perception and production in robot imitation. In addition, using such a grammar representation is advantageous in tracking object states and accumulating robot knowledge from multiple views over a long period of time. Based on these, a joint inference algorithm is proposed to infer human (false-)beliefs and overcome the ambiguity in visual detections. Finally, this dissertation studies how different forms of explanation generated from the representation prompt human trusts in a robotic system and develops an Augmented Reality (AR) interface that allows users to interactively supervise a robot’s decision-making process and intervene by patching its knowledge represented by a T-AOG. Having a T-AOG representation as the core, this dissertation seeks to unify the perception, learning, planning, and interaction problems in robot imitation.
PENGAPLIKASIAN TEKNIK BLOCK PRINTING PADAKAIN ORGANZA DENGAN INSPIRASI BAJU BODO

ABSTRACTBlock printing technique is one of the artistic textile printing techniques because the block printing results are not always perfect and cannot be copied by machines. In the process, the media usually uses natural fiber material. Therefore, this study aims to process the potential of the block printing technique on organza manifold synthetic fabrics. From the fabric that has been processed, modern clothes are designed with the inspiration of the traditional Bodo clothes. The data collection method used to obtain data was through field studies by observations on matters related to the concept of this research. Then literature and theory studies are also one of the methods carried out by looking for references from books or articles on matters related to research such as block printing techniques, organza synthetic fabrics, and traditional Bodo clothing. In order to create optimal research, block printing technique experiments were carried out on these materials.The result of this research is the block printing technique applied to organza synthetic fabrics into modern clothing inspired by the traditional Bodo clothing. Suggestions for this research are to do in-depth experiments such as paint selection, and the types of techniques in block printing itself in order to create an optimal final result.Keywords: Block printing, organza fabrics, and traditional Bodo clothing
Essential Problems of the Integrative Development of Information Metrology Discipline Group

The information metrology discipline group contains several related disciplines, which are increasingly showing a trend of integration. It is necessary to critically think about the basic problems faced by integration and to clarify its research ideas.Through the analysis and sorting of the current status and problems of the integration of the information metrology discipline group,the basic problems of the infrastructure and structure construction faced by the integration of the information metrology discipline group are put forward.In the meanwhile, using the knowledge system of the tree structure of analogy method,the genetic investigation method of the discipline system is also proposed.Based on the “discipline-object-researcher” relationship and “information basic cycle process” of the information metrology discipline group, the overall courses foundation construction can be carried out, and the establishment of “content-structure-form” and “uniformity” Integrated information metrology discipline system will be under further discussion.
Synthesis of arts: theater curtain as an aesthetic category

In training a specialist of creativity higher education institutions, knowledge of special aspects of theatrical art is importance. The subject of this article is the theater curtain, aspects of its application in various historical eras of the development of the theater as a cultural phenomenon. The author’s systematization of information about the theater curtain as an integral element of any theatrical production is based on a deep understanding of its role not only as a technical tool, but also as a spatial composition of the theater performance and the auditorium as a whole. The mentioned features may have a substantial, geographical, historical, political and functional character. Certainly, the theater curtain as an object of research is one of the most interesting phenomena of such a scientific field as art criticism. From her point of view, the theater curtain has come a long way in development in search of better stage and artistic expression, thereby representing a specific sign system. The study of the phenomenon of the theater curtain on examples of venues at the international level allows to take a fresh look at the genesis and current state of issues of the artwork of the productions of Kazakhstan theaters.
Towards the Reform of the System of Epistemological Goals and Values

Cultural and historical epistemology is not only a special branch of philosophical researches of science, but also the base of reform of a system of the epistemological categories expressing the purposes and values of scientific knowledge. Its need follows from the nature of development of modern science. Preservation of the traditional epistemological categories applied to the analysis of this development results in rough relativism. This danger can be eliminated, having developed the holistic system of epistemological values proceeding from the principle of historicism and “collective” understanding of the subject of scientific knowledge. Both of these bases allow to disclose historical and cultural conditionality of processes of scientific research and broadcast of their results. Such purposes and values of science as the truth and the objectivity of knowledge have historical measurement: they exist only in the course of continuous emergence and destruction, being affected by cultural factors. The collectivity of the subject of scientific knowledge is defined together with concepts of a “transcendental” and “individual and empirical” subject according to the principle of complementarity (N. Bohr) finding an epistemological transcription. The possibilities of political subjectivity of science in connection with the epistemological investigations from participation of scientific communities in political structures and movements are considered.
Effects of the Sumatran forest fires (haze) on cognitive function in Indonesian children

Background: Smoke from the seasonal forest fires that occur on the Indonesian islands of Sumatra and Kalimantan (often referred to as ‘haze’ in South-East Asia) can reach hazardous levels for extended periods of time. This poses severe health risks to tens of millions of people. We aimed to determine if living in a haze affected province is associated with cognitive function in Indonesian children.Methods: We used data from the Indonesian Family and Life Survey (IFLS) that assessed cognitive function by the Ravens Colored Progressive Matrices (RCPM). Spatially resolved levels of particulate matter less than 2.5 microns in diameter (PM2.5) throughout Indonesia were downloaded from the Atmospheric Composition Analysis Group. We used multilevel mixed linear regression models to estimate associations between haze and annual mean PM2.5 concentrations and cognitive function.Results: There were no differences in RCPM scores for children living in haze provinces compared to children living in non-haze provinces in adjusted models (mean difference=-1.16%, 95%CI=-2.53%, 0.21%) in each survey wave. For children who completed cognitive tests in two successive survey waves, scores on the second RCPM were lower for children who had lived in a haze province all their lives compared to those children who had lived in a non-haze province all their lives (β=-1.50%; 95%CI:-2.94%, -0.07%).Conclusions: Living in a haze province for a prolonged period of time negatively impacted childhood cognitive scores after adjusting for individual factors. These findings may also be relevant for (mainly) women and young children exposed to high levels of household air pollution.
Effectiveness Of Extension Using Booklet Media Toward Between Nutrition Knowledge Children Elementary School 23 Pagar Agung Lahat Regency Year Of 2019

Elementary school children are important human resources in the nation's success, biologically a group that is prone to food and nutritional deficiencies because they are at a level of growth and development, there are various conditions of unsatisfactory school children such as underweight, anemia of iodine deficiency , lack of appetite, irregular eating patterns. School children are a group that easily receives nutrition education through their schools. This study aims to determine the effectiveness of the use of booklet media on respondents' balanced nutrition knowledge. The study design was a quantitative Quasy-experimental one group Pre-test post-test. The research sample with a total sampling technique is all children of grade V 23 Lahat state primary school. The measuring instrument used was a questionnaire.
Comparative Analysis of Fuzzy C- Means and K-Means Clustering in the Case of Image Segmentation

Image segmentation is an essential step in image processing and analysis. Neural Network, Fuzzy C-Means and K-Means clustering techniques are very famous segmentation techniques. Neural Network is best for segmentation but only classifies trained images. For every image, we do not apply the neural network. Further, we check which other two types of segment techniques are best. For this purpose, we apply these two types of segment techniques on different images. The dice and bfscore performance were estimated for these algorithms and found that if the image is less complex, then Fuzzy C-Means gives better result. If the image is more complex, then K-Means clustering gives better result. In the case of medical data, K - Means clustering is fast.
Post-Industrial model of Society, Education and science in Philosophical concepts of Radical Pedagogy in the context of Globalization for the Sustainable Development

Critical theory of education should be based on a critical theory of society, which is conceptually analyzes the features of actually existing industrial and post-industrial societies and their relations of domination and subordination (oppression), conflict and the prospects for progressive social change and transformative practices that make projects more complete, freer life and democratic society. Criticality theory means a way of seeing and understanding, building categories, making connections, reflection and participation in practice theory, theory of withdrawal of social practice.This term contains an element of emancipation, liberation and self-determination of the oppressed and exploited masses, recognizing that people are socially excluded from the material security, education and decision-making can share vidrefleksuvaty their situation, realize that it is unauthorized again, and realize that they must organize themselves in order to change the structure of society.
Memeticity of communicative practices in the conditions of developmentdigital information space

The aim of the workis to investigate memeticity as a defining characteristic of modern communicative practices unfolding in the digital environment of the Internet. The research methodology consists in the application of analytical, semiotic, discursive, culturological methods in the study of memetics and memes as fundamental polymodal and interdiscursive objects of digital culture, acting as means of communication capable of forming social narratives and discourses through the prism of social semiotics. her identity. The scientific novelty of the work is that for the first time modern communicative practices of the digital environment are analyzed in terms of prevalence in their structure ofmemeticity and memetic communication; Memes, in turn, are considered not only as units of cultural information and entertainment content, but also as digital polysemes that have the ability to serve as a universal means of communication, explanation of reality, commenting on current events, promoting important norms and values. Conclusions. Over the last decade, memes have become a complex phenomenon of Internet communication and modern communication practices in general, which are characterized by memetics as an integral attribute. From the point of view of the development of modern digital information space, memes are understood as cultural information that is transmitted from person to person, but, at the same time, grows into a social phenomenon that shapes the thinking, behavior and actions of communities. Memes combine forms of intertextuality with elements of popular culture, emphasizing the dynamics of the real and virtual world and becoming an online discourse tool that gives users a sense of commitment to creating and participating in it and even influencing others. Given the discursive potential, polysemy, realized in memes, it is possible to understand the ability of these artifacts of digital culture to form new meanings and values, evaluative judgments. Memetics is a part of public communication that defines memes as texts created, disseminated and collectively transformed by various participants in participatory digital culture, enhancing socio-cultural integration in society, allowing co-thinkers to co-opt into a single symbolic space built on new precedents or precedents.
Conceptual Foundations for Designing the Content of the Regional Component of the Educational Area “Art” (The Case of “Transbaikal Studies”)

The article is devoted to the analysis of conceptual (scientific) and methodological strategies for designing the content of the regional component of the educational area “Art” on the example of Transbaikal Studies. A new educational sphere “Art” has been introduced into the educational programs of Russian schools. In a multinational state, the federal law “On Education in the Russian Federation” presupposes the implementation of the national-regional component in the lessons of the integrated course “Art”. This actualizes the need for a textbook on the art of Transbaikalia, which suggests a constructive reformatting of the definition of the content of the subject, which, in our opinion, should be preceded by an analysis of the conceptualization of scientific approaches to the selection of sections of the curriculum, subject and thematic components, educational technologies that develop the creative potential of the student. In modern education, the main subject areas of art are a fairly harmonious system of knowledge, value attitudes, artistic skills that ensure the full realization of the student’s creative potential. The relevance of the introduction of new subject areas is determined by the fundamental importance of integrating school education into contemporary art and culture.The widespread use of the figurative representation of knowledge in modern conditions (visual, iconic, pictoral), technical means of creating new imagery and the problems of simulating aesthetic worlds arising in this case, the peculiarities of the cognitive development of modern students (mosaicism, fragmentation, clip-like thinking) determine their perception of art. New sources of student motivation and ways of teaching students in a distance learning environment, current trends in technology, culture and art (D. Bachman-Medic, K. Schwab) have led to fundamental changes in the modern culture of education, the activation of additional resources for the cognitive development of students. Keywords: regional component, educational area “Art”, classical theory of art, design of the content of the subject area, principles of content selection, gaining epistemological agreement, consensus of subject specificity of the course
Evaluation of Women Protection using Machine Learning

In this era, as we know there are various preceding cases in the world regarding women harassment which is starting from stalking leading to abusive harassments such as acid attacks, rape cases, obscenity, pornography etc. With such issues, an analysis of women safety in Indian cities has been proposed using Machine Learning on Tweets. The Sentimental Analysis is taken as the main idea and is performed through machine learning, taking an input from tweets to ensure safety. This sentimental analysis on tweets helps in creating awareness among people. As we know Twitter and Instagram are responsible to spread information far and wide among the people across the globe, this helps the women in expressing her feelings to the world. We have taken Twitter as an important resource because it provides text, audio, video message and are easy to handle. This can help our research to overcome the sentiments of people around us.
Pengaruh Self-efficacy Terhadap Keterlibatan Siswa Melalui Motivasi Belajar

The purpose of this research is to determine the role of learning motivation as a variabele that mediates effect of self-efficacy on student involvement in students Accounting and Financial Institution departement of SMK IPIEMS Surabaya. The population in this research amounted to 81 students Accounting and Financial Institution department of SMK IPIEMS Surabaya, whose entire population was used as the sample. Data obtained from a questionnaire as a measuring tool. Data analysis technique used is a data analysis technique SEM (Structural Equation Modeling) using WarpPLS software version 7.0, with two sub-models: outer model and inner model. Conclusion from the result of this study is that there is a significant direct positive influence between self-efficacy on student involvement, indicating that there is a significant positive direct effect between learning motivation on student involvement, and shows that there is a significant positive direct effect between self-efficacy on student learning motivation Department Accounting and Financial Institution of SMK IPIEMS Surabaya, and there is a significant positive indirect effect between self-efficacy on student engagement with learning motivation mediating variable in students Accounting and Financial Institution departement of SMK IPIEMS Surabaya.
Information Set based Local Directional Number for Face Recognition

Many algorithms were proposed on face recognition based on the Holistic method, Feature-based method, and also more recently based on local texture patterns. Few local texture patterns utilize the positions of the intensity values like Local Directional Pattern and Local Directional number for obtaining the knowledge (features). This paper proposes the new features based on positions of intensity values and the intensity values in the patch of an image to compute membership function value. The information set concept is used to compute the features that are non-overlapping blocks to restrict the number of features. The proposed method is tested with benchmark databases like ORL and Sheffield and Yale. The classification of the subjects was done with Support Vector Machine (SVM) and K-nearest neighbour Classifier to validate the results. Bio-metric performance curves like Receiver operating Characteristics (ROC) and K-fold validation test is performed. The experimental result shows that the accuracy of recognition has improved over the previously mentioned methods.
Secure Knapsack Problem Based on Continued Fraction

Merkle–Hellman knapsack cryptosystem is a public key cryptosystem, which entails the use of two keys: public and private, the fisrt one used for encryption, while the second one used for decryption. Unfortunately, it is not secure against cryptosystems attacks,where it is broken by Lenstra, Lenstra, and Lovasz ( LLL Algorithm), Adi Shamir. In this paper, we propose a Knapsack–type public key cryptosystems by using a continued fraction, where the continued fraction is used to reduce the coding of plain text into two numbers, regardless of the length of the plain text. We will show that in this paper the Knapsack cryptosystems is secure against the orthogonal lattice attack(LLL Algorithm). Also, the proposed cryptosystems are secured against some attacks (brute–force attack, some known key–recovery attack, frequency attack and quantum attacks). It shows that the continued Fraction provides short plaintext and ciphertext, in which  the encrypted data volume is noticed to be decreased by 60 precent, and this in turn reduces the delay time.
Threat Scenario Complexity

We know from Chap. 4 that contemporaneous risk factors have an exponential effect on the magnitude of the likelihood component of risk. Furthermore, we learned in Chap. 7 that the presence of multiple risk factors introduces uncertainty in security risk management. The magnitude of uncertainty can be quantified if the individual risk factors are variables with finite variance. Intuitively, this source of uncertainty seems eminently reasonable; identifying, monitoring and addressing one risk factor is less difficult than two risk factors, which is less onerous than three, etc.
Classification of Balinese Traditional Clothing Using Naïve Bayes

Bali is an area rich in cultural products, one of the cultural products that attracts attention is traditional Balinese clothing. Balinese traditional clothing is an important cultural product for Balinese people themselves because it is used in religious activities or traditional activities in Bali. Dataset of Balinese traditional clothing obtained as many as 26 pieces by direct survey to several places of makeup as well as from the book “Busana Adat Bali”. Furthermore, the data will be classified using the Naive Bayes method. In two experiments, there was an equally large accuracy of 66.66% using the Naïve Bayes method.
The predicted effect of utilizing modern technologies in companies’ development

This study aim is to creates a preliminary investigations of the impact of implementing modern technologies on companies’ overall development and on productivity. In order to attain the goals a qualitative methodology have been conducted by using a case study method. The case study took up a Jordanian company and applied some modern technology in their strategy development. Toward obtaining an in-depth comprehension of their impacts on real. Along with discovering new opportunities can be used for other researches in the future. The study provides a clear understanding and incorporation of the managers and employees who participated in this investigation directly as key stakeholders. As well as it played an important role in developing a Jordanian company by applying new methods in marketing, improve communication, leadership skills used and improve overall productivity.