Reviewerly/exHarmony huggingface dataset:
DEVELOPING SUPPLEMENTARY ENGLISH READING MATERIALS BASED ON JAMBINESE FOLKTALES FOR GRADE EIGHT OF JUNIOR HIGH SCHOOL

ABSTRACTPrihartini, Galuh. (2019). Developing Supplementary English Reading Materials based on Jambinese Folktales for Eight Grade of Junior High School. Faculty of Teacher Training and Education, Jambi University in academic Year 2018/2019. First Supervisor: Dr. Sri Wachyunni, S.S., M. Hum., M.A, and Second supervisor: Melati, S.Pd., M.CC.Keywords : Supplementary English Reading Materials, Jambinese Folktales, ADDIE Model.The researcher develop supplementary English reading materials to supplement the main textbook entitled “Interactive English 2” for the eighth grade of Junior High School students, published by Yudhistira 2016 in regular class SMP N 3 Kota Jambi. The method of this study was Research and Development (R & D) to develop an educational product. In this study, the researcher used Branch’s ADDIE models (2009) instructional design approach. ADDIE model consisted of 5 phases. They are analysis, design, develop, implement, and evaluate. However, the researcher did not conduct the implementation step because the researcher only focused on designing and develop the materials. In evaluation the material, the researcher with some experts, discussing some mistakes which is need revising and to make better material. Providing materials with picture series which close to students’ life might help students to understand reading texts. To fulfil the need, the researcher develop supplementary English reading materials which closed to students’ life in order to increase their local wisdom. All the materials are about narrative texts of Jambinese folktales. Therefore, this situation conducted the stories like The Origin of Jambi, Putri Rainun and Rajo Mudo, Kelingking and Rang Kayo Hitam. In conclusion, the researcher hopes to the further researcher can implement this English supplementary material in order to examine the result and make it become the final product of English supplementary reading materials.
Continuous-variable quantum network coding protocol based on butterfly network model

With the development of quantum network, quantum continuous-variables have practical significance of improving communication. This paper proposes a new continuous-variable quantum network coding protocol (CVQNC) based on the butterfly network model with the hybrid channel of quantum channel and classical channel to realise the cross transmission of quantum information and classical information. The new protocol not only is conducive to the realisation of quantum network, but also can reduce the communication cost of quantum network effectively. It can be seen from the throughput and fidelity analysis that this protocol has a higher throughput than discrete-variable quantum network encoding scheme and classical information network encoding scheme. The ceiling of fidelity in this protocol is 4/9. According to the analysis of simple intercept attack and spectroscope attack, it is secure for the protocol to transmit quantum information and classical information by resisting on the eavesdropping attack of the third-party effectively.
ALGORITHM FOR THE IMPLEMENTATION OF THE STRATEGY OF CONTROLLED SOCIAL IMPACTS IN THE INFORMATION SPACE

For the implementation of all three levels of targeting of target audience for key message delivery complexes in e-government platforms, it is possible to use meta-information locking systems using DPI technologies. Algorithms and generalized strategies for managing social impact are developed by the authors of this publication. This paper briefly discusses the overall statement of the task of implementing a managed social impact strategy in the information space based on hybrid information communication platforms. A graphical and algorithmic description of information operations related to the targeted distribution of a given information content and to the collection of data on the reactionary changes in the preferences of particular groups of users in the relevant social information environments is presented. Classification of types of digital services user profiles in the information space has been made, which can be practically useful in the development of e-government systems based on modern ICT tools. A brief description of the profiling process for creating a target audience for the purpose of conducting these information operations on the basis of information communication platforms operating in an open internet space. The authors find it effective to move to hybrid cloud communications technologies to implement the processes discussed in the article. The need for the attention of the state to the issues raised in this work is undoubted, since the benefits of active interaction with society are not only the conduct of certain information campaigns, but its consequence is, in fact, the achievement of the pinnacle of the process of informatization of society in the postindustrial era, which directly contributes to the consolidation of a single monolithic nation.
CIRI FONOLOGI BAHASA ANAK TUNAGRAHITA (STUDI KASUS DUA SISWA SMP YIMA ISLAMIC SCHOOL BONDOWOSO)

This research examines the phonological characteristics of mild mental retardation children from a psycho-language perspective. The approach used in this study is a qualitative approach, because the object under study is a phenomenon of human language and the data used are descriptive data. This research was conducted at Yima Islamic Middle School, located in Bondowoso Regency, East Java. This study involved two students who were mentally retarded at the school. Data collection was carried out by listening methods, interview techniques, and field techniques. Data analysis is performed through categorization, data presentation, data description, and interpretation. From the results of the study, it was found that there were some sounds that could not be pronounced perfectly by the research object, and the object of the study had an error in articulating the sounds of the vocal and consonant sound groups. The conclusion of this study is that errors in the language phonological articulation of mentally retarded children are caused by several factors, namely genetic factors, physical symptoms when infants and toddlers, mistakes in assuming food intake by the mother, and lack of stimulus from parents in stimulating the communicative side of children.
A Deixis Analysis Of Selected Song Lyrics In Shawn Mendes’s “Illuminate” Album

The puposes of this study is to identify types of deixis (Person deixis, Time Deixis, Place Deixis, Discourse Deixis, and Social Deixis) and to decribe what those deixis refer to. This study focuses on the use of deixis in Shawn Mendes Songs Lyric. In conducting this study, the writer used the qualitative method as the data categorized to the type of deixis (Person deixis, Time Deixis, Place Deixis, Discourse Deixis, and Social Deixis) that describe the referents. The data described refer to the theory of Levinson (1983). From the analysis result, the writer found that time deixis is the most dominantly used in the dialogues of Shawn Mendes Songs Lyric. It was also found that the referents were indicated from the context in each scene since they provide the clue about the referents that the speaker refers to.Keywords: Semantics, Qualitative, Person deixis, Time Deixis, Place Deixis, Discourse Deixis, Social Deixis, References, Context
WACANA METAFORA RETORIKA VISUALDALAM KARYA SENI RUPA DAN DESAIN

Metaphors in ordinary language are used in everyday life without us knowing it. Themetaphorical visual rhetoric used in connection with the communication of the messageconveyed in its present image is considered more able to convey the meaning of the messageto the audience. This is the metaphor of visual rhetoric being the main force of the value ofpersuasion in advertising, and also the moral message when artists convey social criticismby juxtaposing their rhetorical comparisons metaphorically to be meaningful. The same istrue for works of art and design as visual powers that are symbolic to be understood by theaudience. This library research was carried out with a critical methodological approach tothe study and creation of art and design as a tool or discourse of art that often borrowscultural domains and codes in its visual images. The findings in the rhetorical metaphoricaldiscourse of visual art are expected to be able to contribute in solving visual ideas with theproblems of fine art studies and design. This library research found an understanding of themeaning of symbolic ideology coupled with a metaphorical approach to visual rhetoric thathas developed and expanded the study of discourse not only to the aspect of fine arts but itsuse is already in the objects of architectural building design forms, augmented reality /virtual reality games, icons on smartphones, computer os , and on the phenomenon of memesin social media.
Analyzing the Performance Criteria of ARMA Model for Air Quality Forecasting in Jakarta

Air pollution has been receiving global attention because of its effects on human health and the environment. The ability to predict the level of a pollutant concentration is important for various purposes such as for prevention and mitigation. Some papers had implemented various forecasting techniques to predict air pollution in Mexico, Spain, Malaysia. This research intends to investigate the forecasting accuracy of some air pollutants (PM10, SO2, CO, O3, and NO2) in Jakarta, Indonesia. The data are acquired daily for five measurement sites across the city, namely, Bundaran HI, Kelapa Gading, Jagakarsa, Lubang Buaya, and Kebon Jeruk during January-October of 2018. The data are fitted with Auto-Regressive Moving-Average (ARMA) models. The best model is obtained by comparing the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) with the relative error. The best and the most accurate model is the model with the lowest value of AIC or BIC.
LibGuides: Language and Literacy Education: Dissertations

This guide is for the subject Language and Literacy Education. It contains resources available in the NCU Library.
Trusting Records in the Cloud

Given the instability of electronic records over time, how do we best retain the authenticity of the digital artefact? How can we trust that digital records will be preserved in such a way that the...
Reduction of Phase Error Caused by Overexposure in Phase Measurement Profilometry

When using phase measurement profilometry (PMP) for three dimensional (3D) detection, the surface specular reflection of the object can easily cause the captured fringe pattern image to become overexposed and non-sinusoidal, which leads to a phase error. In this paper, based on the analysis of the phase error model in the overexposed region, a double four-step phase-shifting method is proposed to measure the phase in the overexposure regions of fringe pattern images. A simulation and an experiment show that the phase measurement accuracy of the overexposed region can be effectively improved using the proposed algorithm while maintaining the high-speed of the PMP.
System Architectures for Data Confidentiality and Frameworks for Main Memory Extraction

Today's computing systems process vast amounts of confidential data, which pose an attractive target for cybercriminals and forensics. This work explores the protection and extraction of confidential data on modern systems. The thesis introduces system architectures to protect data against both remote and physically present attackers on different platforms. Moreover, the work proposes frameworks for enabling forensic investigators to extract confidential data from main memory.
Providing loyalty discounts to customers in retail stores

This paper describes the study of different types of algorithms being commonly used for face recognition. We will use the algorithm that yields better accuracy to detect potential customers purchasing in a retail store and accordingly providing discounts based on their loyalty.. In recent times discounts to customers are provided in terms of sale or as a general discounts but there is no scope of discounts based on loyalty or trust that customers show on their purchase irrespective of any age group. Thus the set of all faces in the feature space is treated as a high-dimensional vector space. The faces of different subjects as being in different classes for all subjects in the training set, we establish a framework for performing a cluster separation analysis in the feature space. Also, having labeled all instances in the training set and having defined all the classes, we compute the within and between-class scatter matrices. The most commonly and used mechanism for face detection is Eigen faces algorithm but however we will go through a couple of other algorithms in order to determine better accuracy in face recognition which will our prime goal. Then we will use Fisher's LDA mechanism in order to classify the buyer's as high, mid and low potential groups and accordingly take decision based on that. Hence it can overcome the problem of varying illumination. It is used to extract the magnitude of edge information and it works well even during the variations in poses and the illumination conditions. HOG works well under such challenging situations as it represents directionality of edge information thereby making it significant for the study of pattern and structure of the interested object.
Observation-Based Analog Ensemble Solar Forecast in Coastal California

Historical observations from radiosondes, buoys, and satellite images are used to generate an analog ensemble (AnEn) solar forecast. In coastal California, Stratocumulus (Sc) clouds appear most frequently during late spring and summer months. Sc clouds form at night and begin to dissipate after sunrise, limiting solar energy generation in the morning hours. The AnEn method categorizes cloudy (as either well-mixed or decoupled) and clear events at the forecast initial time and uses several meteorological variables to find the closest analogs. The AnEn forecast is tested at the NKX weather station in San Diego, CA during May to September 2014-2017. The AnEn forecast has a lower root mean square error than a numerical weather prediction model and 24-hour persistence forecasts. The error is lowest for the clear cases and largest for the cloudy decoupled cases. The AnEn forecast is able to capture Sc dissipation for the well-mixed cases in the early morning, but decoupled cases display higher variability throughout the day and are much harder to predict as a result.
Wavelet Galerkin Methods for Higher Order Partial Differential Equations

In this paper, we develop efficient and accurate wavelet Galerkin methods for higher order partial differential equations. Compactly supported Daubechies wavelets are used for spatial discretization, whereas stable finite difference methods are used for temporal discretization. The exact values of two-term connection coefficients are effectively used for the evaluation of integrals consisting of higher order derivatives. For the nonlinear elliptic partial differential equations, we have employed quasilinearization technique to obtain the nonlinear wavelet coefficients. Sparse GMRES solver is used to solve linear system of equations obtained after spatial and temporal discretization. Error analysis has been carried out to ensure the convergence of the proposed method. Finally, the method is successfully tested on few linear and nonlinear 1D and 2D PDEs.
Library Guides: Economics: Journal articles and databases

This guide will help you find reference resources, books, journal articles, working papers, news and statistics related to the study of economics.
Gesture Recognition Based on Deep Learning

Abstract In the modern society, the technology of artificial intelligence is playing a more and more important role. It is well known that we can use the deep learning to do the human gesture recognition which is quite helpful for us. For example, if our system finds a student who is playing his cell-phone in the classroom, the system will give him a very low score in this lecture. For another example, if some students are taking notes carefully, our system will give them very high scores. In this project, I used the knowledge of the deep learning which is quite hot recently, and applied the knowledge of human key point detection to realize behavior recognition.
Getting Started with Python

To get started with programming Python, this chapter begins with some basic command-line programming. This will create a simple text-based game that can be played using the keyboard. This is only the beginning; from the next chapter onward, you will be able to create graphical games that are fun to play.
Quantum direct cause across the Cherenkov threshold in circuit QED

We investigate Cherenkov radiation triggered by qubit acceleration, which can be simulated using superconducting circuits. By analyzing qubit dynamics, we confirm the existence of the Cherenkov speed threshold. A question immediately arises: What is the role of the Cherenkov speed threshold from the aspect of causation? More specifically, what is the effect of the threshold on the ability of the qubit to transmit quantum information? To address this question, we consider measurements of the quantum direct cause, which can be used to estimate channel capacity, based on a recently developed notion on temporal quantum correlations. When choosing proper values for qubit acceleration and qubit-field coupling in a single-mode model, we surprisingly discover that the Cherenkov threshold serves as the speed limit for quantum information propagation in the single-mode model. We further extend use of these measurements to a multimode model. The results indicate that introducing extra modes can lead to further suppression of the quantum direct cause. The suppression is further enhanced when the number of field modes involved in the system is increased.
EFEKTIVITAS LAYANAN INFORMASI UNTUK MENINGKATKAN KOMUNIKASI ANTAR PRIBADI PADA SISWA KELAS X MAN 1 ACEH TENGGARA

Communication is one thing that is very important in the process of life. Most of the time that humans have is used for communication. The quality and ability to communicate is a measure of the extent to which a person can be accepted or not social environment. Through communication, individuals can understand each other and know information about their surroundings so that they are able to take actions and decisions in response to the information provided. Interpersonal communication is a form of communication that is effective in changing attitudes, opinions and communicant behavior.  Interpersonal communication can be interpreted as a message sent by someone to another person either one person or more with a view to influencing the other person's behavior. Therefore, information services are needed to help students better understand the consequences of interpersonal communication itself that it is important to have good interpersonal communication skills. Based on this, the purpose of this study was to determine an increase in interpersonal communication between students after being provided with information services at MAN 1 Aceh Tenggara. After doing research, it was found that information services proved effective in improving the quality of interpersonal communication among students at MAN 1 Aceh Tenggara. Effectiveness occurs with an increase in the quality of interpersonal communication between students through scores obtained in the pre-test, cycle I and the results of the second cycle test which has increased, where the average results of the quality of interpersonal communication of students in the pre-test 45,15, results the first cycle test is 53.24, and the results of the second cycle test is 86.76. Keywords: Information Services, Interpersonal Communication
Facial morphe via domain translation and FM2RLS

In this paper, we present a novel approach for face morphe. We use a recent domain transfer technique to generate target expression and combine a robust image deformation technique to obtain high realistic facial morphe. We addressed the facial morphe problem through three steps. Firstly, Domain transfer technique is introduced to transfer an image from one domain to another. Secondly, use a face alignment algorithm to locate accurate facial landmark points for both domain transferred face and target face, then align them with a global similarity transformation to eliminate their inconsistency in pose, size and position. Then we employ the FM2RLS method to deform the domain transferred face into the target image, let the images pairs align in pixel level. To validate the effectiveness of the proposed approach, extensive experiments on real images shows accurate results of our method, which is superior to the current state-of-the-art methods.
Rancang Bangun Prototipe Pengusir Hama Tikus dan Burung Berbasis Internet of Things (IoT)

The management of agricultural land which is still traditional in nature is very influential on yields. In addition to managing the land, a factor influencing crop yields is pests issued by farmers. Farmers in repelling pests still use traditional methods. Rice pests that are most often feared by farmers are birds and rats. To overcome the problem of rat and bird pests, farmers still use natural methods such as overcoming rat pests using owls and cope with sparrows using scarecrow. Suggested concepts to overcome the problem of farmers in repelling rat and sparrows pests which are also the aim of this research to make a prototype to repel rat and sparrows pests using internet-based technology. The research conducted obtained results with good quality. Where the largest delay time reaches 9.09 ms and the highest delay time is 3.22 ms. No delay is obtained which reaches 1 sec. The pear sensor is only able to read objects consisting of birds less than 100 cm apart. When the distance from 10 - 70 cm provides sending notifications to Android quickly. However, if the distance> 80 cm is not able to choose pests. Based on tests that have been done regarding the reaction of birds when the ultrasonic speaker is turned on. The condition is seen at a distance of 10 - 60 cm from the ultrasonic speaker where there are symptoms of bird avoidance and anxiety. While at a distance of 80-140 cm the condition of bird pests looks nervous. And Conditions > 140 seen no response to the bird pest object.
RGB speckle pattern interferometry for surface metrology

Digital speckle pattern interferometry (DSPI) has been widely used for surface metrology of optically rough surfaces. Single visible wavelength can provide high measurement accuracy, but it limits the deformation measurement range of the interferometer. Also, it is difficult to reveal the shape of a rough surface with one wavelength in normal illumination and observation geometry. Using more than one visible wavelength in DSPI, one can measure large deformations as well as shape using synthetic wavelength approach. In this work, we will discuss multi-wavelength speckle pattern interferometry using a Bayer RGB sensor. The colour sensor allows simultaneous acquisition of speckle patterns at different wavelengths. The colour images acquired using RGB sensor is split in to its individual components and corresponding interference phase map is recovered using error compensating phase shifting algorithm. The wrapped phase is unwrapped to quantify the deformation or shape information of the sample under inspection. Theoretical background of RGB interferometry for deformation and shape measurements, and experimental results will be presented.
Create effective video surveillance with systematic approach

FAIRFAX, Va. — The Middle Tennessee State University Police Department has solved numerous crimes with the help of approximately 600 video cameras located across campus. Officers have also shown allegations to be false, and even solved the mystery of how a car reported stolen showed up in a different parking spot (officers concluded the car was towed by mistake and then returned).