Reviewerly/exHarmony huggingface dataset:
THE APPLICATION OF THE LEARNING STRATEGY TO IMPROVE THE SPEAKING SKILL OF THE SECOND GRADE STUDENTS AT SMA UII YOGYAKARTA IN THE ACADEMIC YEAR 2011/2012

The objectives of this study were to identify the problems of the second grade students in speaking English and to discover the effective steps of the learning strategy to improve the speaking skill of the second grade students at SMA UII in the academic year 2011/2012. This study applied a classroom action research and was conducted in two cycles consisting of planning, acting, observing, evaluating, and reflecting. Subjects of the research were the second grade students of SMA UII in the academic year 2011/2012. Data collecting techniques used were observation, interview, diary and speaking test. Data analysis techniques used were descriptive analysis. Based on the research, there were four strategies applied in cycle I, i.e., the strategies of asking for clarification or verification, grouping, repeating and placing new words into a context. The result of strategies application in cycle I gave positive and negative responses that it did not give much significance to the students’ speaking skill. The highest speaking score of the students in cycle I was 18. Therefore, revision was done. There were two strategies that must be revised in cycle II, which were the strategies of grouping and repeating. As the revision was done in cycle II, students showed positive response and gave significant improvement to the students’ speaking skill. The highest speaking score of the students in cycle II was 27. Thus, it can be concluded that the learning strategy is successfully implemented and improves the speaking skill of the second grade students at SMA UII in the academic year 2011/2012.
Prediction of the spatial variability of coal-bearing rocks at the Elginsky coal mine

The article presents a brief analysis of the key methods used for spatial modelling of mining and geological indicators describing the composition, structure and state of rock deposits. The main limitations of the analysed methods when applied under real conditions are outlined. It is proposed to overcome these limitations using Markov nonlinear algorithms. By applying the principles of multi-dimensional Markov modelling to a geological object, interval types were determined for modelling mining and geological parameters of the Elginsky coal mine. As an example, the article presents the results of predicting the ash content for the U5 section of the Elginsky coal mine on the basis of one of the cross-sections of the developed three-dimensional model.
데이터 마이닝을 활용한 장기저장탄약 상태 결정요인 분석 연구

Purpose: The purpose of this study is to analyze the factors that affect ammunition performance by applying data mining techniques to the Ammunition Stockpile Reliability Program (ASRP) data of the 155mm propelling charge.Methods: The ASRP data from 1999 to 2017 have been utilized. Logistic regression and decision tree analysis were used to investigate the factors that affect performance of ammunition. The performance evaluation of each model was conducted through comparison with an artificial neural networks(ANN) model.Results: The results of this study are as follows; logistic regression and the decision tree analysis showed that major defect rate of visual inspection is the most significant factor. Also, muzzle velocity by base charge and muzzle velocity by increment charge are also among the significant factors affecting the performance of 155mm propelling charge. To validate the logistic regression and decision tree models, their classification accuracies have been compared with the results of an ANN model. The results indicate that the logistic regression and decision tree models show sufficient performance which conforms the validity of the models.Conclusion: The main contribution of this paper is that, to our best knowledge, it is the first attempt at identifying the significant factors of ASPR data by using data mining techniques. The approaches suggested in the paper could also be extended to other types ammunition data.
Survey of Data Confidentiality and Privacy in the Cloud Computing Environment

The objective of this research is to develop a scheme for improving cloud data confidentiality.A considerable number of people are sharing data through third-party applications in the cloud computing environment.According to reviewed literature, it has been realized that data security and privacy were the key challenges to the wider adoption of cloud services with insider threats being the most prevalent.Similarly, our online survey indicated that 53.3% of the respondents citing insider breaches as the main threat to their organizational data.The survey also confirmed that data security and privacy is one of the greatest barriers to the adoption of cloud services in their organization.Noting the flaws of Attribute-Based Encryption (ABE) and Identity-based encryption (IBE), and with the growth of computing power, applications are constantly being developed which makes them vulnerable to attacks.Since data confidentiality is essential in the provision of information security in the cloud, this paper suggested the development and the deployment of a hybrid attribute-based re-encryption scheme, which is a scheme that bridges the ABE and IBE, to secure data in the cloud computing environment.
A Study on the Adults' Music Learning in Learning Society

본 연구는 학습사회와 성인의 음악학습에 대한 담론을 중심으로 학습사회에서의 자발적이고 지속적인 성인 음악 참여와 음악 학습의 가능성을 고찰하는 데 그 목적이 있다. 이를 위해 학습사회에 대한 논의를 시작으로 학습사회에서의 음악학습의 의미를 탐색하였고, 성인의 자발적인 음악 학습의 형태로 두 가지 사례에 대한 질적 자료를 분석 및 해석하였다. 이를 통해, 자발적이고 지속적인 성인의 음악 참여와 학습을 위한 사회 환경의 조성과 전문 인력의 조력자 역할 등을 제안하였다.This study aimed to contribute to enabling spontaneous and continuous adult music participation and learning in a learning society. For this purpose, this study discussed learning society, explored the meaning of music learning in the learning society, and analyzed and interpreted qualitative data on two cases in the form of spontaneous adults music learning. This study proposed the creation of a social environment for the continuous adult music participation and learning, and the experts s role as an facilitator.
Guides: Reading Comprehension Under Time Constraints: Strategies & Resources: Reading Comprehension

Strategies and resources for speed reading and reading comprehension on standardized tests under time constraints.
The research of Meinong earthquake induced hydrological anomalies and increased vertical permeability in southwestern Taiwan

&amp;lt;p&amp;gt;Hydrological anomalies induced by the earthquakes are valuable research data to understand the hydrogeology structure. At the same time, a complete hydrogeological data is the key to the study of earthquake hydrology. In this research, we collected the anomalous hydrological data after the M&amp;lt;sub&amp;gt;w&amp;lt;/sub&amp;gt; 6.4 2016 Meinong Earthquake in Taiwan. The main purpose is to know the mechanism of hydrological changes triggered by earthquake and understand the local hydrogeological characteristics in the southern Taiwan.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;From the distribution of the groundwater level change in the same location but different depths of aquifer, as well as the location of the rupture and liquefaction, it could be found that the co-seismic groundwater level change is large in Chianan Plain in the northwest of the epicenter and accompanied with a lot of ruptures and liquefactions located along the Hsinhua Fault. However, the observations in several wells around the Hsinhua Fault show a different water level change pattern compared with the other wells in Chianan Plain. Actually, these wells show that the co-seismic groundwater level decreases in the deep aquifer and increase in the shallow aquifer. It is shown that the Meinong Earthquake may enhance the connectivity between different aquifers near the fault zone and produce an increased vertical pressure gradient. The anomalous hydrological phenomenon also reflected in the river flow. Based on the river flow data we collected from five stations in the Zengwun River watershed, the river flow at two stations in the upstream dose not change after earthquake. There is a little increase at the midstream station. However, a large river flow increase is observed at the downstream station. After excluding the influence of rainfall, we think that the large amount of anomalous flow is caused by the rise of the co-seismic groundwater level between the middle and downstream sections, and a large amount of liquefaction in this area can prove this hypothesis.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The hypothesis of connectivity changes between different aquifers can be verified by analyzing the tidal response of different aquifers. Many studies have used the tide analysis to obtain the aquifer permeability and compressibility, and compared the changes in the analysis results before and after the earthquake. We think that if different aquifers are vertically connected after earthquake, the tidal analysis results should show a consistent permeability. Tidal analysis is executing now and the results will be provided at conference.&amp;lt;/p&amp;gt;
Strategies Implemented in Teaching English for Young Learners in Primary School

Teaching English to young learners is not an easy task. Teacher needs to use appropriate learning strategies so the students are engaged and motivated in teaching and learning process. The current study aimed at identifying the teaching English strategies used by fifth grade English teacher and the problems encountered by teacher in teaching English for young learner. This study was a descriptive qualitative research and conducted in SD Suta Dharma Denpasar Bali. In collecting the data, classroom observation and interview were conducted. The result showed that there were eight strategies applied by teacher in teaching English. They are; listen and repeat, listen and do, question and answer, in-pair, cooperative learning, and games. Furthermore, the problems experienced by teacher were lack of media of teaching English and lack of knowledge of strategy in TEYL. The problems occurred because the teacher has a limited knowledge on how to teach English for young learners and the lack of resources of teaching media available in school.
5G, IoT och dess säkerhetsutmaningar: En litteraturstudie

This literature review aims to identify the security challenges facing 5G and Internet of Things. The literature review uses a systematic method for reviewing written by Okoli (2015). During the re ...
Exploration of medical volume data in projective augmented reality

This article describes the implementation and usage of a prototype to explore medical volume data in projective augmented reality (AR). To allow real-time rendering of the data, a volume ray casting algorithm is implemented on the GPU. Furthermore, the volume data is distorted to be superimposed correctly from the user's perspective. To allow exploration of the dataset, the user can use an HTC Vive Controller to show or hide structures with either clipping or windowing. In the future, the proposed prototype might be used for diagnosis, planning and computer assisted surgery. First tests indicate that this setup increases spatial understanding of the volume data compared to conventional computer monitors.
Rule-based Word Equation Solving.

We present a transformation-system-based technique in the frame-work of string solving, by reformulating a classical combinatorics on words result, the Lemma of Levi. We further enrich the induced rules by simplification steps based on results from the combinatorial theory of word equations, as well as by the addition of linear length constraints. This transformation-system approach cannot solve all equations efficiently by itself. To improve the efficiency of our transformation-system approach we integrate existing successful string solvers, which are called based on several heuristics. The experimental evaluation we performed shows that integrating our technique as an inprocessing step improves in general the performance of existing solvers.
Optimalisasi Urban Farming menggunakan System Monitoring Soil Moisture

Lack of green land in urban areas makes gardening difficult. The high mobility of city residents makes gardening on urban agricultural crops. However, these problems can be overcome by gardening with a controlled urban farming system. In this research a monitoring system is designed that can read soil moisture in the urban farming system. The humidity monitoring system is carried out by implementing the YL-69 sensor which will determine the level of soil moisture. This Soil Moisture Monitoring System will be connected to the Internet of Things (IoT) which will display data in real time. The output of the YL-69 type humidity sensor in real time is required using the Web-based IoT Platform, Thingspeak. With this system, it is expected that the community can be more efficient and productive in conducting gardening activities in urban areas
Photonic-based quantum communication and sensing: an interplay between fundamental and technological resources

We will present guided-wave photonic solutions enabling the production and manipulation of entangled photons at telecommunication wavelengths [1-3]. We will also discuss how entanglement-induced correlations are subsequently exploited as key resources for implementing fundamental quantum optical experiments [4, 5], establishing long-distance quantum cryptography links [6], and for characterizing optical materials with unprecedented precision [7].
Seismological monitoring of the Pont du Gard during the passage of the Tour de France 2019.

The image shows the seismological monitoring experience of the Pont du Gard during the passage of the Tour de France 2019. The objective is to measure the deformation modes of the Pont du Gard in order to estimate the strongest earthquake it has been able to resist during its millenary history. The seismometer is a Trillium Nanometric broadband seismometer with a Quanterra Q330S acquisition.This instrument belongs to the mobile instrument park (Sismob) of the French Seismological and Geodetic Network managed by the CNRS-Insu. Resif is a national research infrastructure dedicated to the observation and understanding of the structure and dynamics of the Inner Earth. Resif is based on high-tech observation networks, composed of seismological, geodetic and gravimetric instruments deployed in a dense manner throughout France. The data collected make it possible to study with high spatial and temporal resolution the deformation of the ground, surface and deep structures, seismicity on a local and global scale and natural hazards, and more particularly seismic events, on French territory. Resif is part of the European (EPOS - European Plate Observing System) and global systems of instruments used to image the Earth's interior as a whole and to study many natural phenomena.
Nonrigid Image Registration using 3D Convolutional Neural Network with Application to Brain MR images

Image registration is a vital tool in medical image analysis with a large number of applications assisting the medical experts. Currently, conventional image registration approach with predefined dissimilarity metric and iterative optimization, is widely used. In this thesis, we proposed a method to solve medical image registration problem using a deep learning approach. A convolutional neural network architecture is proposed, named as RegNet, applied on monomodality image registration problem. The proposed does not require any dissimilarity metric and is capable of directly estimating the spatial relationship between two images. The training is based on the pseudo-real-world displacement vector field, created by the conventional registration tool and artificial deformation simulation, resembling a deformation similar with the real-world deformation case. Multi-stage framework is also implemented to increase the capture range of RegNet. This thesis evaluates the performance of RegNet for an intrasubject magnetic resonance brain images registration problem.
SOFTWARE FOR SAFE MOBILE ROBOTS WITH ROS 2 AND REBECA

Robotic systems are involved in our daily lives and the amount of traction they have received is non-negligible. In spite of their sizeable popularity, the quality of their software is often dismis ...
Taming the Knight's Tour: Minimizing Turns and Crossings

We introduce two new metrics of simplicity for knight's tours: the number of turns and the number of crossings. We give a novel algorithm that produces tours with $9.5n+O(1)$ turns and $13n+O(1)$ crossings on a $n\times n$ board. We show lower bounds of $(6-\varepsilon)n$, for any $\varepsilon>0$, and $4n-O(1)$ on the respective problems of minimizing these metrics. Hence, we achieve approximation ratios of $19/12+o(1)$ and $13/4+o(1)$. We generalize our techniques to rectangular boards, high-dimensional boards, symmetric tours, odd boards with a missing corner, and tours for $(1,4)$-leapers. In doing so, we show that these extensions also admit a constant approximation ratio on the minimum number of turns, and on the number of crossings in most cases.
LibGuides: LIbrary Basics: NC LIVE

This guide is intended as an overview to the finding resources within the library to help you get started!
Uniform State Abstraction for Reinforcement Learning.

Potential Based Reward Shaping combined with a potential function based on appropriately defined abstract knowledge has been shown to significantly improve learning speed in Reinforcement Learning. MultiGrid Reinforcement Learning (MRL) has further shown that such abstract knowledge in the form of a potential function can be learned almost solely from agent interaction with the environment. However, we show that MRL faces the problem of not extending well to work with Deep Learning. In this paper we extend and improve MRL to take advantage of modern Deep Learning algorithms such as Deep Q-Networks (DQN). We show that DQN augmented with our approach perform significantly better on continuous control tasks than its Vanilla counterpart and DQN augmented with MRL.
Non-classical Art: The Anthropological Aspects

The birth of the phenomenon of “Non-classical Art” was prepared by the very logic of the historical movement of the Culture of the New Age. If you try to express this in a short formula, at a certain stage of a person’s search a rational distrust of the rational arises. The crisis of the classics came as a consequence of the crisis of classical rationalism that erupted in European culture since the 1830s. The New Art is focused on ways of expressiveness that cast doubt on the absoluteness of the norms of Classical Art. In painting, this was manifested in the prevalence of the principle of pictoriality (color-light relations) over plasticity (the primacy of the line, drawing), dynamics over statics, atectonics over tectonics, a shift from the central axis of the picture in favor of the so-called “landscape vision”, which tells the painting several centers at once . The Artist of the 20th – early 21st centuries understands that his life goes on in a completely different Picture of the World and puts a lot of effort into ensuring that his works can become the artistic equivalent of a contradictory era, expressed by adequate colors, lines, a complex composition, a deformed space, a displacement of the center paintings, its sustainability — all that has always been masterfully mastered by the language of painting. Tested and adapted means of Classical Art are unsuitable for the implementation of the dramatic and tragic collisions that occur with a man of Modern times. Interpreting the sharp, painful, depressing images of Egon Schiele, Rene Magritte, Francis Bacon, Anselm Kiefer, Jean-Michel Basquiat, the Philosophy of Art captures the conditions of painful erotica, loneliness, acute anxiety, an existential impasse, almost an anthropological disaster. Nevertheless, all of the creators listed have a strong letter. The works of these artists of the twentieth century do not fit into any expected, familiar “format”, but they are full of some hidden vitality. A number of examples of non-classical art demonstrate that painters are not very shy, solving today the problem of “art and evil”.
One photon’s transmission usefully controls another

To preserve the quantum correlations between two particles of light, researchers mapped the scattering that a photon experienced onto the entangled state.
AUL LibGuides: Air University Research: AY20 RTF Immersive Learning/Simulations

A guide on searching and accessing Air University Student Papers Research task force for academic year 2020.
Activity recognition and anomaly detection for the elderly with dementia by using passive RFID sensor tags

In recent years, the number of demented patients besides the elderly living alone has been increasing in Japan. This study proposes a monitoring system that recognizes the behavior of the elderly with dementia living alone and detects their anomalies. To alleviate a mental and physical burden on the elderly, our monitoring system adopts RFID sensor tags embedded in their living environment. Our experiments have ensured the feasibility of implementation and demonstrated that by detecting anomalies with changes in the sensor data. The results have demonstrated that our system can exactly detect the remaining amount in a trash box and of a meal.
Zero-Knowledge and Obfuscation

Author(s): Demer, Eric Martin | Advisor(s): Cooper, Daryl; Ananth, Prabhanjan | Abstract: Zero-Knowledge Protocols and Witness Encryption are usually defined for NP relations. I show that they can be extended to handle promiseMA relations. For witness encryption, this simply results in polynomially-longer instances and witnesses. For zero-knowledge protocols, this may require one additional round of interaction, since the prover needs to receive an allegedly random string from the verifier, but the structure of the protocol does not otherwise change, and soundness holds even if the prover chooses its instance after seeing that allegedly random string.It is known that efficient virtual black-box obfuscation of functions is impos- sible, but there are candidate constructions of indistinguishability obfuscation, and one can trivially build witness encryption from indistinguishability obfusca- tion. I show that if witness encryption exists, then there is no virtual black-box obfuscation of distributions against auxiliary input.
La doppia serie di complementatori in sardo. Considerazioni dialettologiche e diacroniche

No AccessLa doppia serie di complementatori in sardo. Considerazioni dialettologiche e diacronicheGuido MenschingGuido MenschingSearch for more papers by this authorhttps://doi.org/10.14220/9783737011327.205SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous chapter Next chapter FiguresReferencesRelatedDetails Download book coverWiener Arbeiten zur LinguistikVolume 5 1st editionISBN: 978-3-8471-1132-0 eISBN: 978-3-7370-1132-7HistoryPublished online:October 2020 PDF download
Performance Analysis Between Combinations of Optimization Algorithms and Activation Functions used in Multi-Layer Perceptron Neural Networks

Background:- Artificial Neural networks are motivated from biological nervous system and can be used for classification and forecasting the data. Each neural node contains activation function could ...