Reviewerly/exHarmony huggingface dataset:
Neural Network Architecture Development for Time Series Forecasting

The paper reveals the results of studies on the development of neural network architecture for time series forecasting.Three types of neural networks were investigated: radial network, convolutional network, and multilayer perceptron.The main objective of this study is to identify, based on a comparative analysis, the architecture of a neural network, which is most suitable for the specifics of forecasting data of a financial nature.In the course of work, from the more than 1000 configurations of neural networks, the most successful ones were selected, with the smallest standard error.The C# programming language and the Visual Studio development environment were chosen in the capacity of the implementation tools.In the work, the back propagation of error algorithm was used as a method for training the neural network.During the training of the network, a dynamic change in the network configuration was carried out.The time series of the financial market were used as the data supplied to the neural network.The work was carried out on the data of exchange rates for 2000-2018.As a result of the study, it was determined that the use of a multilayer perceptron provides higher accuracy.The results of the work can be applied to forecast the values of securities, currency pairs and other financial instruments.
Experimental Research on the Application of Hierarchical Teaching Method in General Course of Track and Field in Colleges and Universities

According to the rules and characteristics of P.E. teaching, with the combination of the development,layering and individual of the educational object. Taking sport pedagogics profession male students as the research subject, through the delaminated teaching method, implementing teaching according to student’s ability. The results indicate that the delaminated teaching method can not only attach the education for all-around development, but also arouse students’ study motivation, improve the study activity. Making different level students rewarding. And so improve the quality of teaching of track and field required course.
Finding Calm in a Perfect Storm

This paper presents insights from an exploratory study into the experience of orthopaedic rehabilitation that sought to support patients in self-care.In a research-through-design study, rough prototypes were generated and patient needs elicited.The project was a collaboration between an academic designer, a design agency, and an orthopaedic surgeon, and included perspectives from hand therapists and patients themselves.The study showed that patients greatly appreciate data support of hand rehabilitation exercises, because it helps them adjust and pace their perspective and experience of getting better.From a reflection on the prototypes in relation to the patient experience we also concluded that the prototypes do not fully help patients with one thing yet: not doing anything and staying calm.This yielded a new research goal and thus a new sub-program of research.
Research on Quality Evaluation Method of Digital Teaching Resources Design Capability Based on Cloud Computing

To improve the intelligent evaluation ability of digital teaching resource design ability and optimize the quality evaluation model, a cloud computing-based digital teaching resource design capability quality intelligent evaluation method was proposed. Digital data collection and statistical analysis methods were used for digitization. Teaching resource design capability quality statistical sample sequence sampling, using digital teaching resource design capability quantitative evaluation method in cloud computing environment, constructing big data distribution model of digital teaching resource design ability quality statistical sample sequence, combined with quantitative regression analysis method for big data characteristics Extraction and information regression analysis, constructing the feature extraction model of digital teaching resource design ability quality statistical analysis, taking the distribution status of teaching resources as the evaluation object, combined with quantitative recursive analysis method to carry out adaptive evaluation of digital teaching resource design ability quality statistical sample sequence. Adopting bus design and sensing quantitative tracking and recognition technology to carry out the system construction of digital teaching resource design capability quality, using local bus control method to carry out digital teaching resource design ability quality intelligence Estimated load instructions, to achieve design evaluation system. The test results show that the design of digital learning resources designed to assess the ability of intelligent quality assessment system has good performance, good intelligence.
Achievement tests and optimal design for pretesting of questions

Achievement tests are used to measure the students' proficiency in a particular knowledge. Computerized achievement tests (e.g. GRE and SAT) are usually based on questions available in an item bank ...
Speaker tracking using SincNet for multi-channel naturalistic audio corpora: Apollo 11 fearless steps

Apollo-11 was the first manned space mission to successfully bring astronauts to the moon and return them safely. As a massive collaborative effort, with astronauts flying the missions in outer space, the entire communications between flight controllers, their backroom support teams and, astronauts have taken place inside NASA Mission Control Center. The communications stemming from the experienced team of scientists, engineers, and technicians who worked collectively behind the scenes in the MOCR have not been identified. In this study, we propose to identify the speakers in the Mission Control Room for a small subset of 100 h derived from a collective 19 000 h of Apollo-11 audio data, which correspond to three challenging phases of the mission: lift-off, lunar landing, and lunar walking. The speaker identification solution explores a convolutional neural network architecture called SincNet across all three Apollo-11 phases. The speaker models obtained from the subset of 100 hours will be used to track speakers on the complete corpora. Our goal is to make it possible to be able to access each individual speaker involved with the Apollo 11 mission.
The Effectiveness Of Free Laptop Distribution For The Students Of Elementary School In Badung Regency (Case Study Sd 6 Dalung)

&lt;p&gt;&lt;em&gt;Mastery of Science and Technology is one of the components to be achieved national education. Badung district government gives free laptop as much as 8,636 laptops for the students of elementary school. This free laptop distribution is borrowing to students to prepare human resources that not only the function as recipients of information flow but also equip themselves with information and technology management capabilities in order to be able to manage, adjust and develop what they receive through the development of these technologies. Looking at the conditions of technology mastery (laptop) as the access of information is not enough controlled by the teacher as an educator and employee as an educational staff but also learners (students).&lt;/em&gt;&lt;/p&gt;
LibGuides: ENC1102 Powley OER: Audios/E-Text

Resources for Dr. Tammy Powley's English Composition II open educational resource course at Indian River State College.
Visual Sensor Networks and Related Applications

The use of sensing devices to perform monitoring tasks has continuously evolved in the past decades [...]
PENGARUH KEMAMPUAN MEMBACA, KEMAMPUAN BERFIKIR KRITIS DAN KEDISPLINAN BELAJAR TERHADAP KEMANDIRIAN BELAJAR SISWA SMPN 3 PERBAUNGAN

&lt;p&gt;This study aims to determine (1) the relationship of reading ability to&lt;br /&gt;student learning independence (2) the relationship of the ability to think&lt;br /&gt;critically towards the independence of student learning (3) the discipline&lt;br /&gt;of learning to the independence of student learning (4) the influence of&lt;br /&gt;reading skills, and the ability to think critically, and towards Student&lt;br /&gt;learning independence (5) Effect of reading ability, and learning discipline&lt;br /&gt;on student learning independence (6) Effect of critical thinking skills, and&lt;br /&gt;learning discipline on student learning independence (7) Effect of reading&lt;br /&gt;ability, critical thinking skills, and learning discipline on student learning&lt;br /&gt;independence.The results of the study: 1) There is a Positive and&lt;br /&gt;Significant Relationship in the Ability to Read Against Learning&lt;br /&gt;Independence Students who proved the correlation is worth 0.761. 2)&lt;br /&gt;There is a Positive and Significant Relationship to the Critical Thinking&lt;br /&gt;Ability of Students' Learning Independence which is worth 0.883. 3) There&lt;br /&gt;is a Positive and Significant Relationship in Learning Discipline Against&lt;br /&gt;Student Learning Independence, with a value of 0.938 Multiple linear&lt;br /&gt;regression obtained by regression equation, Y = 15.238 + 0.352X1 +&lt;br /&gt;0.623X2 + e. 5) There is a positive and significant influence between&lt;br /&gt;reading ability (X1), and learning discipline (X3) on student learning&lt;br /&gt;independence (Y), the results of the calculation of multiple linear&lt;br /&gt;regression analysis obtained regression equation that is Y = 12.865 +&lt;br /&gt;0.224X1 + 0.720X2 + e . 6) There is a Positive and Significant Influence&lt;br /&gt;Between Critical Thinking Ability (X2) and Learning Discipline (X3) on&lt;br /&gt;Student Learning Independence (Y). Multiple linear regression analysis&lt;br /&gt;obtained regression equation, namely Y = 15.671+ 0.312X1 + 0.594X2 + e.&lt;br /&gt;7) There is a Positive and Significant Influence Between Reading Ability&lt;br /&gt;(X1), Critical Thinking Ability (X2) and Learning Discipline (X3) Against&lt;br /&gt;Student Learning Independence (Y) which is proven through the results of&lt;br /&gt;the calculation of multiple linear regression analysis obtained the&lt;br /&gt;regression equation that is Y = 11.302 + 0.173X1 + 0, 276X2 + 0.524X3 + e. &lt;br /&gt;Results of hypothesis analysis Simultaneously, fcount&amp;gt; ftabel where &lt;br /&gt;237.611&amp;gt; 2.77. And the results of the analysis of the coefficient of determination in this study is the R Square value of 0.963. And with a&lt;br /&gt;significance level of 5%.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
A Consistency And An Inconsistency of The Leviticus Translator

This paper has a few goals. First is to discover if the Greek translator of Leviticus uses literal (consistent) and / or free (inconsistent) translation technique. Then, this paper will list and group the evidences of the consistency of the Greek translator in this book. If there are any examples that show the inconsistency to the MT or looseness of the translator, then this paper will study every example carefully and it will categorize into a group. This group will be created based on the examples that share the same pattern or the similarities. The comparison of MT and LXX will be used as the methodology of this paper. Every verse will be analyzed and presented in comparison format until chapter five to have a basic knowledge of the patterns and the characteristics of the Greek Translator. The patterns, however, will be scrutinized in the whole book of Leviticus. In depth and a detailed analysis of this comparison will be put on the appendices. This methodology will be employed to accomplish the goals of this paper.
Is the Spreading of Internet Neologisms Netizen-Driven or Meme-driven? Diachronic and Synchronic Study of Chinese Internet Neologism Tuyang Tusen Po

With the development of internet corpus and sophisticated searching engines, it is possible and convenient to apply the linguistic big data to quantitatively conduct research to Chinese internet neologism tuyang tusen po. Based on linguistic big data from the Web Corp Live and Baidu Index, the author has conducted the diachronic and synchronic research to the Chinese internet neologism tuyang tusen po. It is found that: (1) tuyang tusen po is used as noun, adjective and exclamation by Chinese netizens; (2) during using tuyang tusen po, there exist several spreading centres in the macro, middle and micro scope; (3) the spreading of Chinese internet neologism tuyang tusen po is netizen-driven, not the so called meme-driven. The primary conclusion is that there are several spreading centers during the spreading of the Chinese internet neologisms, which is caused by netizen-driven. The findings can not be quantitatively revealed without linguistic big data from the internet.
Penerapan teknologi pemanenan air hujan menuju desa mandiri air bersih di Pulau Merbau

One of the efforts to overcome the clean water crisis in the archipelago, one of them is Merbau Island, is to make a simple technology that is used to accommodate excess water during the rainy season and next, the water can be utilized for various purposes when it has been needed. The technology is rainwater storage building (PAH). This community service activity was conducted by making a model of PAH building at one of the residents’ houses and conducting a counselling activity to residents in relation to both of calculation and planning of the PAH building, and also the importance of consuming clean water. The purposes of this community service are to give an understanding and increasing knowledge about the needed for rainwater harvesting technology so that daily clean water needs will be fulfilled by basic infrastructure of the ideal PAH system based on independent-communities. The volume of this rainwater reservoir is needed at 3 m3 (3,000 litres) from the roof area of 36 m2. This rainwater is used to meet the needs of drinking, cooking and washing of 15 litres/person/day. The number of residents in the house is 5 people. The results obtained from this activity are the construction of rainwater reservoirs with a volume of 1,000 litres with good and correct rainwater harvesting system equipment. Thus the lack of 2,000 litres of rainwater storage must be managed independently by the homeowner.
Pengaplikasian Biji Pinang Sebagai Embellishment Pada Busana Ready To Wear Deluxe

Abstract Kalimantan is an area that is very rich in natural beauty, one of which is forest. In the forests of Kalimantan, many trees grow and have many benefits and have a fairly good development, one of which is areca nut trees. Areca trees are plants that are still questionable history of it's origins, it is estimated that it originated from several regions in Indonesia, one of which in Kalimantan. Areca nuts have been used for hundreds of years to chew or cook, besides that, areca seeds have many other benefits, namely for health, food ingredients, trade, and the needs of traditional ceremonies. Therefore, the author was inspired to utilize and develop areca beans to be used as beads embellishment material that was applied to ready to wear deluxe types of clothing using surface design techniques, namely beadding for areca nut compilation, embroidery and digital printing as supporting techniques using fiber inspiration in areca seeds. Keywords : Beadding, Biji Pinang, Ready To Wear Del
A real timecrime reporting software system

On an alarming rate, every day crimes take place in our local. The crime agencies are trying to keep up, but the manpower, information and technology within their jurisdiction is not just enough to tackle these crimes as frequent as they occur. The study's aim was to design and implement a real-time crime reporting system. The objectives of the study included to; identify the constraints associated with the existing crime reporting framework, improve on the constraints associated with the existing crime reporting framework, test the improved version of the crime reporting framework, compare the existing crime reporting framework with the improved version and deploy the improved version of the crime reporting framework. The architecture of the proposed system consists of the two main pages. The crime report page and the admin page. The method adopted in the study was the water fall model. The water fall model comprises of six phases of software development. The system was implemented using the Angular JS and Firebase database along with the JavaScript programming language. The system was tested and deployed.
Mining Frequent Distributions in Time Series

Time series data is composed of observations of one or more variables along a time period. By analyzing the variability of the variables we can reveal patterns that repeat or that are correlated, which helps to understand the behaviour of the variables over time. Our method finds frequent distributions of a target variable in time series data and discovers relationships between frequent distributions in consecutive time intervals. The frequent distributions are found using a new method, and relationships between them are found using association rules mining.
A Novel Collaborative Control Strategy for Enhanced Training of Vehicle Recognition

Deep learning methods support vehicular technology in various aspects. How to efficiently and effectively optimize deep learning models remains a challenge. It is known that the learning rate is an important hyper-parameter to optimize models and the batch size is one of the keys to speed up training. This paper empirically studies the principles of scheduling batch size and learning rate during training, and proposes the Collaborative Control Strategy (CCS), which practically improves both classification accuracy and training speed. Instead of stepwise decreasing learning rate and keeping batch size unchanged, we asynchronously adjust batch size and learning rate based on time-division and restart policy. We study and analyze the proposed CCS on general image recognition benchmarks. Compared to traditional training strategy, without bells and whistles CCS decreases error rates by absolute 0.78% and 0.75% on CIFAR-10 and CIFAR-100 respectively, and reduces 40% of training time. For vehicular applications, we demonstrate its advantage on Stanford car-196 dataset with different architectures, showing consistent training speedup and accuracy improvement.
The Impacts of Using Pictures for Teaching Vocabulary to the Seventh Grade Students of SMP N 2 Imogiri in Academic Year 2018/2019

The research objective is to investigate the impact of using pictures for teaching vocabulary. The research belongs to experimental study. The study population was seventh-grade students of SMP N 2 Imogiri. While two groups or classes of the population as the sample, they are experimental and control group. The data collection technique used was pre-test and post-test. The research findings were the impacts of using pictures, and the pre-test and post-test mean score. First, the impacts of using pictures can improve the students' score, besides it also can draw the students' attention, and students enjoyed and want to participate in the instructional process. Second, the pre-test mean score of the experimental group was 63.04 and the control group was 70. While the post-test mean score of both groups had increased, the mean score of the experimental group was 90.54, and the control group was 84.29. The result of t-test indicated that there is a significant difference in students' vocabulary achievement between both groups. Then, the Sig. (2-tailed) was 0.009 which is lower than 0.05 (0.009&lt;0.05). Thus, the Ha of the hypothesis was accepted. It can be concluded that there is a significant difference in students’ vocabulary achievement of students between both groups.
Thin-Plate Spline-based Adaptive 3D Surround View.

A “Bird's Eye View” (or Surround View) is a popular feature in modern cars and is particularly useful for parking and unparking purposes. This 3D reconstruction of the view uses multiple fisheye cameras and has traditionally been performed by a computer vision-based approach on a fixed mesh. This method is computationally expensive and does not always give ideal results for different types of surroundings. This paper discusses the design and implementation of a Thin-Plate Spline (TPS) algorithm for creating a 3D surround view of the vehicle with configurable vantage points and can be computed efficiently. Furthermore, it can choose from different meshes to adaptively generate a match with different surround-view environments on the fly. By surveying different environments and testing the implementation in a real car, we are able to demonstrate the practical feasibility of our solution 11The video demos of our algorithm have been uploaded to Youtube: https://www.youtube.com/watch?v=-boYsUSA52c, https://www.youtube.com/watch?v=NED435Uj12E. https://www.youtube.com/watch?v=2sZTCIi4X2M&t=2s. Our approach is competitive with the-state-of-the-art 3D reconstruction algorithms in computer vision while having a considerably lower runtime complexity.
METHODS OF STOCHASTIC MODELING OF PHYSICAL-MECHANICAL FIELDS

Constructive methods and algorithms of stochastic modeling of physical-mechanical fields are proposed based on the theory of R‑functions and fuzzy logic, which allow to take into account technical and technological tolerances for geometric and physical information, measurement errors, rounding errors, and based on the analysis of their complex influence on the development to draw an expert opinion. When solving boundary-value problems of mathematical physics and creating systems for the study of fields of different physical nature, it is important to take into account technical and technological tolerances for geometric and physical information, errors of measurement of physical quantities and errors of rounding. In this regard, there is a need to develop field calculation systems in order to obtain permission for the solution and for further expert judgment.Calculations in existing field calculation systems tend to be deterministic, but in the meantime, real processes are to some extent stochastic, with some imprecision. In order to take this fuzzy into account, it is advisable to transform the existing scheme of physical field research so that, as a result of multivariate computation, a more accurate "fuzzy" solution will be obtained that is closer to reality. It is necessary to enter into the scheme the decision of tolerance, that is, sources of fuzziness, which have the greatest influence on the resultant decision. Practice shows that there are usually three such sources: model tolerances, method errors, and rounding errors. It is necessary to establish the effect of the solution of variation of these values within the tolerances and to explore the possibility of constructing tolerances for this solution. In this regard, it is of great interest to develop systems for the study of physical and mechanical fields that are oriented towards multivariate solution of boundary value problems to account for the variation of the values under consideration within the specified tolerances.The relation between the theory of R‑functions and fuzzy logic is investigated. It is proved that with the necessary generalization of the laws of contradiction and the exclusion of the third set of functions of fuzzy logic coincides with the set of conditional R‑functions. It is shown that functions of logic algebra are concomitant for conditional R‑functions and the set of conditional R‑functions is functionally closed.Based on the results of research in the theory of R‑functions and fuzzy logic, methods and algorithms for modeling fuzzy domains of complex form have been developed. Fuzzy field models and structures of fuzzy solutions are developed, the method of their realization is offered.