Reviewerly/exHarmony huggingface dataset:
Comparison between image encryption algorithms for wireless sensor

Devices used in the Wireless Sensor Network are very small and compact in size, and this technology is expected to connect billions of devices in the future. Wireless Sensor Network used in IoT is expected to generate heaps of data and security can be a great threat. Due to its compactness, resource constraints and low powered it is difficult to use conventional encryption algorithms because of expensive computation, complexity and power used in encryption and it also requires many rounds to encrypt, leads to wasting of constrained energy of the WSN devices. In this paper, a comparison is proposed between two lightweight encryption algorithms based on Feistel structure named Secure Force (SF) and Secure Internet of Things (SIT) implemented by using a simple architecture that only consists of simple mathematical operation (AND, OR, XOR, XNOR, Shifting, Swapping). This can reduce the load on encoder because complex key expansion process is only carried at the decoder. Confusion and diffusion of the image matrix, and different substitution and permutation techniques are also included to increase the complexity of the cipher. The proposed comparison helps us to evaluate which algorithm is better in terms of architecture, time complexity, flexibility, and security.
Complex Analysis Of The Didactic Concept Efficiency In The Continuous Education System

At present the demand for a well-educated specialist with wide and diverse skills and competence requires reconsidering the concept of professional training of graduates at all levels. In the contemporary world, which is changing dramatically and with high speed, the notion of life-long (continuous) education has gained unprecedented value. Although for most people it is primarily connected with postgraduate education, but it is obvious that successful academic and professional careers significantly rely on two conditions: the right choice of the future profession and solid basic knowledge and skills obtained at the level of secondary education. The paper presents the system of life-long education developed at Moscow Polytechnic University based on project activity. Introduced in secondary and higher education, project activity is aimed at developing both professional skills and competence and individual qualities important for studies and work for every person. Despite the fact that the experiment is still in its progress, the preliminary results have shown that students who at school attended professionally oriented courses are more motivated and interested in learning process and do better at the first year of studies at the University compared to those who were not engaged in this kind of extra-curriculum activity at the pre-university level of studying.
The multi-lane capsule network (MLCN)

We introduce Multi-Lane Capsule Networks (MLCN), which are a separable and resource efficient organization of Capsule Networks (CapsNet) that allows parallel processing, while achieving high accuracy at reduced cost. A MLCN is composed of a number of (distinct) parallel lanes, each contributing to a dimension of the result, trained using the routing-by-agreement organization of CapsNet. Our results indicate similar accuracy with a much reduced cost in number of parameters for the Fashion-MNIST and Cifar10 datsets. They also indicate that the MLCN outperforms the original CapsNet when using a proposed novel configuration for the lanes. MLCN also has faster training and inference times, being more than two-fold faster than the original CapsNet in the same accelerator.
Supporting the Development of Cyber-Physical Systems with Natural Language Processing: A Report

Preprint submitted to NLP4RE 2019: 2nd Workshop on Natural Language Processing for Requirements Engineering @ REFSQ, Essen, Germany (CEUR workshop)
Quality Assessment Of Educational Achievements Of Students On Chemistry In Russian Schools

The article covers key methods of monitoring students’ performance in chemistry; those methods make part of Russia’s nationwide education quality assessment system. In particular, the article indicates international monitoring studies investigating knowledge of Russian schoolchildren in natural sciences. The “education quality” concept is brought up, and Russian scholars who have made a major contribution to the establishment of an education quality assessment system are mentioned. Peculiarities of the research of the matters currently studied within the framework of the school course in chemistry are outlined, and skills and abilities built in that course are specified. In addition, principal requirements for test-and-assessment materials used in the final certifying chemistry examination are listed. Emphasis is made on the importance of a combination of a competency-based and subject-based approach to the monitoring of graduates’ performance. Sample assignments are given; those assignments are included in various standardized monitoring assessment procedures. When analyzed, the contents of the assignments helped stress the significance of universal learning activities in the course in chemistry, which is dictated by the specifics of the chemistry-related contents that includes a sign system, images and models of objects, as well as real-life objects. The concluding part of the article underlines the importance of using element-by-element analysis in developing an assignment assessment scale.
Minimizing Trust in Hardware Wallets with Two Factor Signatures.

We introduce the notion of two-factor signatures (2FS), a generalization of a two-out-of-two threshold signature scheme in which one of the parties is a hardware token which can store a high-entropy secret, and the other party is a human who knows a low-entropy password. The security (unforgeability) property of 2FS requires that an external adversary corrupting either party (the token or the computer the human is using) cannot forge a signature.
Atoms in infinite dimensional free sequence-set algebras

A. Tarski proved that the m-generated free algebra of $\mathrm{CA}_{\alpha}$, the class of cylindric algebras of dimension $\alpha$, contains exactly $2^m$ zero-dimensional atoms, when $m\ge 1$ is a finite cardinal and $\alpha$ is an arbitrary ordinal. He conjectured that, when $\alpha$ is infinite, there are no more atoms. This conjecture has not been confirmed or denied yet. In this article, we show that Tarski's conjecture is true if $\mathrm{CA}_{\alpha}$ is replaced by $\mathrm{D}_{\alpha}$, $\mathrm{G}_{\alpha}$, but the $m$-generated free $\mathrm{Crs}_{\alpha}$ algebra is atomless.
Spatial Multiplexing in a Cavity-Enhanced Quantum Memory.

We present a multiplexed quantum repeater protocol based on an ensemble of laser-cooled and trapped rubidium atoms inside an optical ring cavity. We have already demonstrated strong collective coupling in such a system and have constructed a multiplexing apparatus based on a two-dimensional acousto-optical deflector. Here, we show how this system could enable a multiplexed quantum repeater using collective excitations with non-trivial spatial phase profiles (spinwaves). Calculated entanglement generation rates over long distances reveal that such a multiplexed ensemble-cavity platform is a promising route towards long distance quantum entanglement and networking.
Collaboration Models For Educational Institutions And Museums

In the new media era, the educational institutions and museums gained the opportunity to interact more extensively in learning and cultural education areas. The use of the latest technologies gave impetus to the emergence of new cooperation forms between museums and educational organizations. For all the school students, this opens up access to the modern ways of studying culture, getting experience, expressing themselves, communicating. This also creates educational opportunities for teachers by enriching their methodology portfolio, while helping increase museum attendance and making museums more open and accessible. Still, despite the growing accessibility of the innovative technology solutions, the lack of well-defined common goals and collaboration objectives prevents the widespread use of the innovative forms of joint work between museums and educational institutions. This inconsistency necessitates the discovering and outlining the most widely used collaboration models and ways of their practical implementation that already have proven their efficiency. The article describes the aplication of some of the most commonly used collaboration models, such as “museum-lesson”, “mobile museum”, “virtual museum”, and “museum exhibit in project-based work”, carried out both by major Russian state museums and lesser-known ones in small towns. Apart from the benefits achieved by using the models, the article outlines some potential risks in implementing them as well as offers organizational and management strategies for minimizing certain risks.
Community Awareness Education for a Sympathetic Society

인간을 포함하여 생명의 역사는 다양한 생물 개체들의 공생의 기술의 역사이며, 이때마다 요구되었던 공생에 대한 감각으로서 공감은 인간을 포함하여 각 개체가 구체적으로 움직이는 만큼 성취되어 왔다. 이런 점에서 인간 공동체는 ‘다른 이에게 뻗는 손’에 의존하고 있다고 할 수 있으며, 생태계의 많은 생물들도 서로 간의 연결에 의존한다. 그런데 산업사회에 접어들면서, 특히 현대 사회에서 이러한 연결들은 급속하게 끊겨져 나가고 있다. 이 연구는 이러한 상황에서 우리 교육이 나아가야 할 방향성을 이웃교육이라는 이름으로 제안하고자 한다. 이웃교육은 존재하는 모든 것을 존중하는 데에서 출발하며, 보다 구체적으로는 교육활동이 다양한 사람-이웃뿐만 아니라 다양한 생물체-이웃에게도 관심을 가질 것을 요구한다. 진화의 연속성 관점에서 바라보았을 때 인간의 뇌는 다양한 사람 및 자연 생명체들과의 공존방식의 부산물이라고 볼 수 있다. 그러므로 인류와 지구의 공존을 위해서 우리 교육이 담당해야 할 바는 학생들이(아울러 교사도) 이제껏 무의미의 세계에 방치해 두었던 모든 생명 개체들과 올바른 관계를 맺을 수 있도록 기회를 제공하는 것이다. 이런 의미에서 이웃교육은 기회의 교육학, 기회 창출의 교육이라고 할 수 있다. 결론적으로 이웃교육은 이러한 관점에서 다양한 개인이 공동체에 다양한 기여를 할 수 있도록 다양하고 새로운 연결들을 계속해서 만들어 나가는 실천이며, 이를 통해 우리는 지금의 위기를 극복하고 공감사회를 향한 과정에 충실할 수 있을 것이다.The history of life, including human beings, is the history of symbiotic techniques among various living creatures. As a sense of symbiosis is required in every occasion, sympathy has been achieved to the degree of concrete movements made by each entity, including man. In this sense, the human community depends on a helping hand given to others. Many creatures in the ecosystem also depend on their connections. However, in an industrial society, especially a modern society, these connections are rapidly cut off. This study set out to propose directionality for education in this situation in the name of community awareness education, which starts with respecting all things that exist. More specifically, it requires that the education not only look at various people as neighbors, but also various creatures as neighbors. From the perspective of evolutionary continuity, the human brain is a by-product of methods to coexist with a range of people and living creatures in nature. Education should thus aim to provide students (and teachers) with an opportunity for the right relationship with all living creatures neglected in the world of meaninglessness for the coexistence of humankind and Earth. In this aspect, community awareness education can be called a pedagogy of opportunity or education for opportunity creation. In conclusion, community awareness education is a way to constantly make and practice new and diverse connections in this aspect so that many individuals can make various contributions to the community. This will help overcome the current crisis and be true to the process toward a sympathetic society.
Clear Skies Ahead: Towards Real-Time Automatic Sky Replacement in Video

Digital videos such as those captured by a smartphone often exhibit exposure inconsistencies, a poorly exposed sky, or simply suffer from an uninteresting or plain looking sky. Professionals may edit these videos using advanced and time-consuming tools unavailable to most users, to replace the sky with a more expressive or imaginative sky. In this work, we propose an algorithm for automatic replacement of the sky region in a video with a different sky, providing nonprofessional users with a simple yet efficient tool to seamlessly replace the sky. The method is fast, achieving close to real-time performance on mobile devices and the user's involvement can remain as limited as simply selecting the replacement sky.
YANG Data Model for Composed VPN Service Delivery

This document defines a YANG data model that can be used by a networkoperator to configure a VPN service that spans multiple administrativedomains and that is constructed from component VPNs in each of thoseadministrative domains. The component VPNs may be L2VPN or L3VPN or amixture of the two. This model is intended to be instantiated at themanagement system to deliver the end to end service (i.e., performingservice provision and activation functions at different levels througha unified interface). The model is not a configuration model to beused directly on network elements. This model provides an abstractedcommon view of VPN service configuration components segmented atdifferent layer and administrative domain. It is up to a managementsystem to take this as an input and generate specific configurationsmodels to configure the different network elements within eachadministrative domain to deliver the service. How configuration ofnetwork elements is done is out of scope of the document.
Analisa Alokasi Memori dan Kecepatan Kriptograpi Simetris Dalam Enkripsi dan Dekripsi

Currently the focus of cryptography is on the security and speed of data transmission. Cryptography is the study of how to secure information. This security is done by encrypting the information with a special key. This information before being encrypted is called plaintext. After being encrypted with a key called ciphertext. At present, AES (Advanced Encryption Standard) is a cryptographic algorithm that is safe enough to protect confidential data or information. In 2001, AES was used as the latest cryptographic algorithm standard published by NIST (National Institute of Standard and Technology) in lieu of the DES (Data Encryption Standard) algorithm that has expired. The AES algorithm is a cryptographic algorithm that can encrypt and decrypt data with varying key lengths, namely 128 bits, 192 bits, and 256 bits. From the results of tests carried out for speed and classification memory, it can be concluded that the AES cryptographic algorithm is superior or faster if the size or size of the plaint text is not so large, because for the smaller AES algorithm the speed ratio in terms of encryption will become more fast, it becomes very different for the Blowfish algorithm itself where for large sizes plaint text can be encrypted faster than AES but for smaller sizes Blowfish is certainly slower in that case, for memory allocation in this case from the tests performed it can be concluded that AES requires more storage space or larger memory allocation compared to the blowfish algorithm
Assessment of Motivational Factors and Challenges to Become an Entrepreneur (The Case of North Gondar TVET Graduates)

The main objective of this study is to assess determinant Motivational factors and Challenges to become an entrepreneur in North Gondar Technical, Vocational Training College graduates. The study used cross sectional survey design. The study was based on both primary and secondary data sources; the primary data was collected by using questionnaire and key informant interview. Both qualitative and quantitative (mixed) research approaches was employed. The data was analysed using descriptive (mean, frequency and percentage) and inferential analysis (one sample t-test and multiple binary regression) to describe, and test associations and analyse the determinant factors to become an entrepreneur. The overall results of the study indicated that the majority of the TVET graduates become wage employees instead of becoming an entrepreneur. Higher level of motivation on independence and financial gain was observed. With regard to the existing challenges higher level of fear of failure to competition, problem of self-confidence and lack of new ideas to start business, lack of start-up capital, high interest rate and alternative financing institutions was exhibited. In addition, Infrastructural challenges related to manufacturing and centred retailing venue as well as power supply were also found high. Moreover, the model results confirm that the existence of entrepreneurship was determined by the interaction of demographic, motivational and various challenges and the logistic regression result showed that graduates level of education, challenges related to fear of failure, financial problem, training and infrastructural problems significantly determine the TVET graduates to become an entrepreneur in the study area. While sex, age and graduates motivational need of independence and access to adequate training were not significant predictors for the entrepreneurial engagement. Based on the finding the study recommends, entrepreneurship must be supported by the governmental organizations and their constraints must be recognized and a structured and organized strategic plan put in place to help them overcome these limiting factors.Key words: Entrepreneurship, Motivation, Independence, Financial gain
Penerapan Algoritma Genetika Pada Pengenalan Paragraf

Paragraph consists of sentences which has main idea. In this research, it applied the genetic algorithm to recognize a paragraph. It has several steps to do it, firstly on the alphabet forms word, then sentence, and finally paragraph. The process start from typing the paragraph and then the genetic algorithm will identify the paragraph accordingly by stages which are initial population, selection, crossover and mutation. Genetic algorithm is heuristic searching algorithm which based on nature selection of mechanism and nature genetics. Paragraph is a set of words or other characters with one or more languages are written especially if arranged in a customary order. The final result of this research is that showing the exact paragraph that is targeted.
Creativity In Educational Process Within The Framework Of Quantum-Information Model

Russia faces situation of lacking specialists with creativity skill, what leads to the issue of developing creativity within the education process. Solution is connected to understanding the way mind supports creativity. Paper is defining the role of conscious and unconscious mechanisms of mind in creativity and analysing creativity based on quantum-information model of mind. Ontology base of creativity within the quantum-information model of mind is defined. Based on results we propose potential technologies that allow to discover creativity potential of educational system and adjust process of its update. Theory-methodology basis of the research is a concept of social processes synergy together with philosophical anthropology concept which suggests quantum-information model of mind that treats minds experience as a result of decoherence of superfined minds possibilities of unconscious nature. In the analysis next research methods are used: phenomenological method, axiomatic-deductive method, dialectical method. In the summary creative activity of mental subject is provided by the transverse information causality. Psychological basis of creative process is the mechanism of assimilation, through which the information coming from outside is transformed in accordance with personality characteristics of the subject. Proposed model opens the opportunity of influencing the identification and development of the creative potential in the reformed education system.
PEMBELAJARAN BAHASA PADA SISWA BERKEBUTUHAN KHUSUS (LANGUAGE LEARNING TO DIS

Language is something that is natural. In essence, all human beings are able to speak in accordance with the conditions of each and languages can also be learned by all human beings. Natural language acquisition will be a positive influence in the continued development of the child's personality. Research and teaching language for public schools and for higher education has been done and contributed greatly to the advancement of education in general. However, the conditions are different, especially for students who have in acquiring language skills. In certain cases, there are students who experienced obstacles in the process of language acquisition and it will make it disturbed in communicating with their environment. Expected more intensive language teachers cooperated with other field experts to address students who experience delays in language acquisition. To foster self-confidence, language skills must be optimized. This situation certainly can not be handled by the teacher. Teachers need to work with various parties such as psychologists, doctors, neurolinguis, and terapilinguis. For a language teacher of the student condition is a noble challenge to maximize the language skills of students with special needs. By understanding the teaching methods for children with special needs and advice from other experts, language teachers will be able to understand the needs of utterances to be trained to the students. The training was based on a function of said tool and the sounds of language that can be produced. Training pronunciation of words that sound close together will facilitate the students with special needs in pronouncing the word and will further foster language skills.
Improved Differentially Private Analysis of Variance

Hypothesis testing is one of the most common types of data analysis and forms the backbone of scientific research in many disciplines. Analysis of variance (ANOVA) in particular is used to detect dependence between a categorical and a numerical variable. Here we show how one can carry out this hypothesis test under the restrictions of differential privacy. We show that the $F$-statistic, the optimal test statistic in the public setting, is no longer optimal in the private setting, and we develop a new test statistic $F_1$ with much higher statistical power. We show how to rigorously compute a reference distribution for the $F_1$ statistic and give an algorithm that outputs accurate $p$-values. We implement our test and experimentally optimize several parameters. We then compare our test to the only previous work on private ANOVA testing, using the same effect size as that work. We see an order of magnitude improvement, with our test requiring only 7% as much data to detect the effect.
Gottesman-Kitaev-Preskill state preparation by photon catalysis

Continuous-variable quantum-computing (CVQC) is the most scalable implementation of QC to date but requires non-Gaussian resources to allow exponential speedup and quantum correction, using error encoding such as Gottesman-Kitaev-Preskill (GKP) states. However, GKP state generation is still an experimental challenge. We show theoretically that photon catalysis, the interference of coherent states with single-photon states followed by photon-number-resolved detection, is a powerful enabler for non-Gaussian quantum state engineering such as exactly displaced single-photon states and $M$-symmetric superpositions of squeezed vacuum (SSV), including squeezed cat states ($M=2$). By including photon-counting based state breeding, we demonstrate the potential to enlarge SSV states and produce GKP states.