Reviewerly/exHarmony huggingface dataset:
Introduction to the Minitrack on Machine Learning, Robotic, and Toy Computing

The goal of this minitrack is to present both novel and industrial solutions to challenging technical issues as well as compelling smart application use cases.This minitrack will share related practical experiences to benefit the reader and will provide clear proof that machine learning technologies are playing an ever-increasing important and critical role in supporting robotic and toy computing applications -a new cross-discipline research topic in computer science, decision science, management sciences, and information systems.
The Impact of Teaching the Reading by Skamper's Strategy to Develop the Habits of Mind for Students of the Fourth Grade Literary

The research is aiming to identify the effect of reading instruction on Skamper's strategy in developing the habits of the mind for the fourth grade students. In order to achieve the goal, the researcher put the zero hypothesis, which states: There is no statistically significant difference at the level of significance (0.05) among the average of the students of the experimental group, the average score of the students of the control group who will study according to the usual method in the test habits of the mind, and to verify the application of his experience in the first half of the academic year (2018–2019). The sample consisted of (65) students of the fourth grade in Al-Jawahiri secondary school, they were randomly distributed (33) students in the experimental group and (32) students of the control group. The two groups were rewarded in the following variables: age, IQ, and linguistic ability test. The researcher constructed the paragraphs of the habits of the mind in the form of positions and each position containing four alternatives to answer (A, B, C and D) and the number of positions sixteen positions where each position is usually a mental
Development of a Reading Material Recommender System Based On Design Science Research Approach

Using design science research (DSR), we outline the construction and evaluation of a recommender system incorporated into an existing computersupported collaborative learning environment.Drawing from Clark's communication theory and a user-centered design methodology, the proposed design aims to prevent users from having to develop their own conversational overload coping strategies detrimental to learning within large discussions.Two experiments were carried out to investigate the merits of three collaborative filtering recommender systems.Findings from the first experiment show that the constrained Pearson Correlation Coefficient (PCC) similarity metric produced the most accurate recommendations.Consistently, users reported that constrained PCC based recommendations served best to their needs, which prompted users to read more posts.Results from the second experiment strikingly suggest that constrained PCC based recommendations simplified users' navigation in large discussions by acting as implicit indicators of common ground, freeing users from having to develop their own coping strategies.
Environmental innovative activities in Saint - Petersburg state technical university (SPbSTU))

In this article the authors tell about how in present economic conditions goes innovation process in the SPbSTU. The SPbSTU specifity is those, that almost each the innovation project can be applied to the area of environmental ( approximately 60 % from all total number). Therefore in the review there is the speech about the general concept of the innovation SPbSTU activity and about the link connection innovation politics of SPbSTU with common the St-Petersburg city Administration innovation politic. Particular examples of innovation activity of Russian State, City Administration structures and the SPbSTU structures. The authors shown examples of their interaction.
Energy Conservation at Head Office Building of PT Petrokimia Gresik through Building Envelope Design

Badan Standardisasi Nasional (BSN) had regulated and recommended that buidings in Indonesia should maintain to conserve  energy. Head office building of PT Petrokimia Gresik located in such orientation which the longest side of the building always receives the annual sun radiation. the building envelope uses transparant material with 80% ratio of the surface and no shading device installed. This causes overheat  inside the building and more cooling devices are needed and affects to the energy consumption. Evaluative method in the form of observation and energy audit are applied to describe the real conditions and measure the energy consumption to obtain some inputs and recommendations. Experimental method is also applied to review the recommendations which may have effect to conserve energy.based on the audit, the IKE’s numbers are above the standard  while the dominant aspect for this case is cooling system. Through the envelope design approach with alternatives in the form of adjust the transparent material, adding shading devices, and double skin, obtained that combination between changing the transparent material and using double skin facade could decrease the energy consumption number reached 3,18%. With combination of tecnical recommendation in form of changing existing tools into low energy tools, the total yield could reach 41,1%. The IKE’s numbers could be decreased from 261 kWh/m 2 /year into 153,67 kWh/m 2 /year. Keywords: Energy Conservation, Office Building, Building Envelope
SMARTGRAPH: AN ARTIFICIALLY INTELLIGENT GRAPH DATABASE

Graph databases and distributed graph computing systems have traditionally abstracted the design and execution of algorithms by encouraging users to take the perspective of lone graph objects, like vertices and edges.In this paper, we introduce the SmartGraph, a graph database that instead relies upon thinking like a smarter device often found in real-life computer networks, the router.Unlike existing methodologies that work at the subgraph level, the SmartGraph is implemented as a network of artificially intelligent Communicating Sequential Processes.The primary goal of this design is to give each ``router" a large degree of autonomy.We demonstrate how this design facilitates the formulation and solution of an optimization problem which we refer to as the "router representation problem", wherein each router selects a beneficial graph data structure according to its individual requirements (including its local data structure, and the operations requested of it).We demonstrate a solution to the router representation problem wherein the combinatorial global optimization problem with exponential complexity is reduced to a series of linear problems locally solvable by each AI router.
Speedup of Adiabatic Multiqubit State-Transfer by Ultrastrong Coupling of Matter and Radiation

Ultrastrongly coupled quantum hardware may increase the speed of quantum state processing in distributed architectures, allowing to approach fault-tolerant threshold. We show that circuit QED architectures in the ultrastrong coupling regime, which has been recently demonstrated with superconductors, may show substantial speedup for a class of adiabatic protocols resilient to the main source of errors, namely the interplay of dynamical Casimir effect and cavity losses.
A Label-based Edge Partitioning for Multi-Layer Graphs

Social network systems rely on very large underlying graphs.Consequently, to achieve scalability, most data analytics and data mining algorithms are distributed and graphs are partitioned over a set of servers.In most real-world graphs, the edges and/or vertices have different semantics and queries largely consider this semantics.But while several works focus on efficient graph computations on these "multi-semantic" graphs, few ones are dedicated to their partitioning.In this work, we propose a novel approach to achieve edge partitioning for multi-layer graphs, which considers both structural and edge-types (labels) localities.Our experiments on real life datasets with benchmark graph applications confirm that the execution time and the inter-partition communication can be significantly reduced with our approach.
PERBANDINGAN DEIKSIS PADA DUA BUKU AJAR: ANALISIS KONTRASTIF BIPA DAN BAHASA INGGRIS

Indonesian language is a foreign language at Sebelas Maret University for students from abroad. Foreign students who communicate with English encounter difficulty to understand and use deixis. This study tried to contrast deixis on two textbooks, Bahasa Indonesia bagi Penutur Asing (BIPA)/Indonesian for foreigner and English textbook. The study was conducted through qualitative study with contrastive analysis. AntConc version 3.4.5 was used to identify deixis corpus from BIPA textbook. The concordance from the BIPA textbook was compared with sentences on the English textbook. The analysis found that deixis from those textbooks were different in term of position, form and use. Indonesian deixis can either precede or follow a noun or verb while English deixis appeared only before a noun or verb. When coming together with plural noun, English deixis changes in the form, meanwhile Indonesian’s is not. Based on this study, BIPA teachers are suggested to bring concrete samples during teaching deixis.
Fractal Geometry in Alexander Scriabin’s Sonata No. 10

The physical-mathematical concept of the “fractal,” which has determined the formation of the contemporary paradigm of natural science, has initiated new perspectives of research of biological systems, informational technologies, society, the history of culture, religion and art. The article is devoted to revealing the psychological premises of fractal modeling in the late music of Alexander Scriabin and the description of its algorithm in the spatial-temporal organization of Sonata No. 10 for piano. The personal myth of the composer’s life was realized in the mystical actualization of the archetype of God (the Highest Selfhood), becoming the key towards the interpretation of its artistic content. The composition’s conception is connected with the cognition of the Divine genesis of Nature. The sound code of the fractal as “an imprint of God’s thumb” is presented by archaic migrating musical-lexical formulas of the signal and the invocation. The intertext of the culture is demonstrated by “pantheistic signs” together with echo effects. The reminiscence of archetypical geometric figures of the circle, the triangle, the square and the cross in the semantic fractal Universe are identified with segments of the mandala. In the spatial-temporal construction it is possible to discover the mythologemes of: the Divine score, the number, Apollo, Dionysus, Zephyr. Having reconstructed in the Piano Sonata opus 70 the universal mythopoetic model of the Divine Creation of the world, common for European and Eastern cultures, Scriabin has revived the celebrated Pythagorean triad of “mathematics – music – cosmos.” The artistic picture of the Sonata has reflected the mythical cosmogenesis and the mechanism of “the expanding Universe,” the crucial aspect of which is the conceptual fractal. Keywords: the fractal, Alexander Scriabin, mysticism, Being in myth, archetypes of God and mandalas, Sonata No. 10 for piano by Scriabin, mythologemes, pastoral topics, geometric figures in music, symbolism of the universe.
Boson Sampling with Linear Loss is Classically Simulable

We show that boson sampling is classically simulable in the presence of linear loss (constant per-photon transmission). We discuss the impact that this has on experimental efforts to demonstrate a quantum advantage.
Persamaan Lorenz untuk Keamanan Nomor Serial Sistem Operasi Window7

Serial number of operating system windows 7 needs to be safeguarded, so can’t be used by the others. Security of the data can use by modern cryptography such as Vernam Cipher methods and classic cryptography such as Caesar Cipher methods. The security level both of this method depends on the keywords used and it will difficult to crack if the random key is used more and more. To get a random key, we can take from chaos of Lorenz equations as key-generator for encryption and description. Before utilizing chaos in the Lorenz equations, we have to find the maximum t (time) for the inverse problem solution to fit with the forward problem solution. We can use Runge-Kutta method in the Lorenz equations for forward problem solution and inverse problem solution. The solution of integral that obtained by the Runge-Kutta method can be searched by Trapezoidal method. The result of Runge-Kutta solution and Trapezoidal will be used as key-generator for encryption and description. In the simulations performed, the best orde in Runge-Kutta method is 4 and t max is 2. The encryption key is used as the initial condition of Lorenz equation, then the result is integrable by the Trapezoidal method. The result of orde 4 from Runge-Kutta method and Trapezoidal method used as a key-generator. Application of Lorenz equation as key-generator for encryption and decryption, may change the cryptography algorithms of symmetric to be asymmetric.
Fast Adaptive Reconstruction Algorithm for Line Spectrum Pair Parameters Based on Compressed Sensing

Line Spectrum Pair Parameters (LSF) are important parameters in low rate speech coding. Implementing LSF transparent quantization with as few bits as possible is a research hotspot in the field of low-rate speech coding. Based on the theory of compressed sensing, this paper proposes a new adaptive reconstruction algorithm. At the encoding end, the algorithm performs frame type discrimination on the LSF of single frame or superframe after voice activation detection and then applies the compressed sensing method to observe and quantize the LSF parameters of the single frame or superframe. At the decoding end, parameters are adaptively selected according to every single frame or superframe type, so that the number of bits required to reconstruct the LSF is reduced. The experimental results show that the proposed algorithm can reduce the number of bits required for LSF reconstruction and improve the reconstruction quality under the appropriate codebook storage and search complexity.
Importance Of Ethics In Higher Education

Today, ethics has an important place in all areas of life. Education is also a fundamental process of human life. Therefore, in education ethics has a very important and effective role. In order to be a good human, ethics should be placed as a course in educational system. In this paper, it will be discussed the ethics education in schools. In doing this, it will be also discussed why teaching ethics is important in education. Before discussing this issue, it is necessary to define what ethics is and what education is.
Artificial Intelligence Technology An Overview

There are many amongst us that have yet not been able to comprehend the extraordinary heights of Artificial Intelligence (AI). This unique arm of intelligence is multiple times more capable than that of a human brain. AI systems can be used to perform tasks that would normally require a human. What is AI? How far is it likely to grow over the next few years? How is it going to change the world and the many societies ensconced inside of it? Let's takea look.There is no denying that AI is going rule the future.The exponential growth witnessed in this area has led AI in leading mankind into the fourth Industrial Revolution.
The Quest for a Practical Sophomore-Level Software Engineering Course

This paper describes our efforts starting since 2014 when we began developing a practical introductory sophomore-level software engineering course.The aim is to guide students into the fundamental theory and practice of building reliable software, with an emphasis on agile and object-oriented practices.Course topics revolve around three main themes: 1) managing complexity (how to model and scale software), 2) achieving quality (how to minimize defects) and 3) supporting usability (how to deliver user functionality).Students are exposed to theoretical and practical aspects of software production, such as software lifecycle models, strong-typing, testing, documentation, graphical user interfaces, UML, design patterns, version control systems and software deployment.The course is in constant evolution: near-future plans include adding build automation tools and DevOps concepts.We made the early decision to use reference materials available to our students at no cost; therefore, all reference materials are accessed online through resources afforded by our library.
TraitDB: Web application database of phenotypic trait data.

TraitDB is a web application that synthesizes phenotypic trait datasets from varying structures and formats.It organizes data into a consistent format and taxonomy, facilitating querying, subsetting, and sharing over a range of user criteria.While many other software packages exist to store structured and unstructured relational data, TraitDB is designed to meet the needs of research teams by fitting into their data gathering practices.Commonly-used packages like spreadsheets and SQL databases may excel at direct ingest, storage, and management of homogeneous datasets, but fall short dealing with real-world heterogenous data structures and formats.They require dedicated effort to build and adapt complex processes in order to maintain data integrity.Through work with multiple NESCent working groups, we observed and supported realworld efforts to build a database of traits by collecting and organizing thousands of trait data observations.We evaluated software including OpenRefine, SQLite Manager, and mx that aim to address many of these challenges.While these software are capable of enforcing complex data models, we found that individual researchers were most productive tabulating data from specimens or literature into local spreadsheets rather than an online application.At this level, they needed frictionless data entry of the records they had available, rather than tedious interactions.After collecting their data, they needed a robust process to validate, reconcile, and ingest records into the larger body.Through collaboration, and iteration, we designed and built TraitDB to serve the use cases of these researchers.Primarily, TraitDB aids ingest of datasets from different researchers working to synthesize a single, uniform dataset.Data ingest is driven by a flexible YAML template system, managed by the group of researchers.The process provides validation and observation-level feedback on input CSV datasets.It indicates which fields are required, warns of duplicate records, and performs validation on categorical and continuous variables.Prior to ingesting the data, TraitDB provides a structured report of warnings and requires that any errors are corrected.Once ingested, TraitDB provides several mechanisms for querying, browsing, subsetting, and fetching data via its web interface.It implements simple summary calculations of trait data over taxonomic levels, and provides CSV download of synthesized datasets for further analysis.TraitDB has been used to gather and produce datasets hosted by the Tree of Sex.
An Attention-Based Command Detection Model to Allow Natural Language in Voice Control System

Interaction with machines using speech has been a popular research topic in recent years. Considerable amount of work focuses on the improvement of voice control systems which utilize automatic speech recognition (ASR) and natural language processing (NLP) technologies to recognize userâ€™s speech and extract executable commands. The existing voice control systems usually do not take into count the diversity and richness of natural language and require users to follow pre-defined keywords or grammar rules. To address this limitation, we designed and implemented a voice control system that supports natural language, utilizing an attention-based command detection model. Our system supports flexible voice instructions and the user does not need to follow any pre-defined rules. An Arduino 4WD robot car was also built in this paper to verify the system. In the experiments, the accuracy of command detection on natural language reaches 0.993 in our developed dataset. Besides, the realization of the 3-DOF (degree of freedom) motion control on our robot car suggests the feasibility of using our proposed system to control any functionality or behavior of the hardware system. Our work improves the flexibility and usability of voice control systems by applying technologies in the domain of NLP.
Storing digital books in electronic libraries: Comparison analysis of various graphic format use

The author begins with discussing the key provisions of document digitization. He characterizes the unified requirements of the National Electronic Library. Further, he analyzes the graphic formats for digitized copies (TIFF, JPEG, PNG). The advantages and drawbacks of each of the formats are discussed. Due to the rapid technologies advance and emergence of reader devices, the libraries that purchase now affordable HD-scanners can increase digitization efficiency with heavy graphic formats and to increase the rate of filling the servers’ storage. The modern text recognition technologies and programs enable to initiate collections digitization. Having analyzed the formats, the author expectedly asks the following question: how to use less resources for digitization and further storage without losing the documents cultural and historical value? To solve this problem, the author suggests to modify document classification and use text recognition technologies with further storing in files which would enable to use the text directly (TXT, DOC, PDF). The author concludes that there is the need for a new consistent technology deprived of the existing drawbacks.
IMPLEMENTASI ALGORITMA KRIPTOGRAFI RC4 DAN METODE STEGANOGRAFI AUDIO 2LSB PADA SISTEM KEAMANAN INFORMASI

Providing security and confidentiality to information is needed when exchanging information through communication networks. It is intended that the information sent by the sender can be received in full by the recipient without any interference from parties who are not interested in the information.Cryptographic techniques and steganography can be used to secure confidential messages. Building applications that combine these two techniques can provide security for confidential messages well. Security techniques that can be used are cryptographic techniques using the RC4 algorithm to secure secret messages in the form of text or images, and insert secret messages with 2LSB steganography method into audio media.The analysis carried out is the level of success of the message insertion and extraction process, process speed, stego audio attack, and audio quality. The results of 18 times insertion testing and message extraction, obtained a success percentage of 100% with different processing times depending on the size of the message being inserted. The resulting Stego audio has good quality and does not cause noise that can be heard directly by the human senses, but stego audio cannot withstand attacks that cause changes to the stego file byte value. So it can be concluded that the combination of the RC4 cryptographic algorithm and the 2LSB steganography method can secure the message properly and provide the results of decryption without any changes to the inserted message
Introduction of Fractal Based Information Processing and Recognition

Fractal characteristic, one typical nonlinear characteristic, is applied as a key characteristic in complex information processing and used in many research domains [...]