Reviewerly/exHarmony huggingface dataset:
THE PATTERN OF TOPIC CHANGE IN INDONESIAN AND SINGAPOREAN CONVERSATION

This research was analyze and discuss the pattern in conversation. Applied pattern of conversation is unpredictable, it is drawn the section and topics which used by participants. The objectives are drawn pattern of topic change, find out clues and describe aspect that influenced pattern of topic change in conversation. The method of this research was qualitative research, the data collected by recording and transcribing. The participants are Singaporean and Indonesian, the data are conversation both director and secretary. Data analyzed through ethnography methodology in communication and conversation analysis. Weather, this condition was quite different to the theory. First is pattern of topic change in formal conversation quite different to the previous study and theory. There found important section in each topic. This conclusion where has not explained before. Second is aspect influencing pattern of topic change are dominant participants, context, relation and time. The emphasis findings are there found several differences of pattern in topic change at the formal context. The important aspect is dominant participants. It was controlling of the conversation also take role in topic change. These results may affect by the background knowledge of the participants and the context of the conversation.Keywords:Topic changes, pattern in conversation and aspect influencing topic change
THE READABILTY OF READING MATERIALS IN ENGLISH TEXTBOOK FOR THE ELEVENTH GRADE STUDENTS OF SMK NEGERI 1 BERINGIN

This study focused on the readability of reading materials in English textbook for grade XI students of SMK Negeri 1 Beringin. This study attempted to find out the English reading materials appropriateness in terms of the readability level for the target students. This study was categorized as descriptive quantitative research. The source of the data were the reading materials from English in Professional Job Situations textbook published by Grafindo Media Pratama which was designed under guidance of Kurikulum Tingkat Satuan Pendisdikan (KTSP). The Dale and Chall original formula was used to analyze the data from the textbook. The findings of the study showed that most of the reading materials in English in Professional Job Situations textbook were only appropriate for the 13-15th grade (college) and were considered too hard for the eleventh grade students.Keywords: Readability, The Dale and Chall Original Formula, Readability Formula, English Textbooks for Eleventh Grade Students.
PENINGKATAN PEMAHAMAN KONSEP DASAR IPS MAHASISWA PGSD MELALUI MODEL COOPERATIVE TIPE GI

Good education reflects the quality of the nation. A teacher is a spearheaded on the educational field to provide generation that has a good quality. In order to established a generation that has good quality, a quality learning method is needed. Therefore, PGSD students as prospective national educators have to understand the basics of learning in elementary schools. The study that is conducted at UST in the department of PGSD found that the understanding of the basic concepts of social study is low. The aim of the study is to improve the understanding concept of social study to students in UST in the department of PGSD. This study uses Cooperative model type GI in lecture activities. The study is used classroom action research by engaging 2 cycles, each cycle has a duration about 2×50 mins and conducted on 2 meetings. Subjects of the study were the writer as a researcher, lecturer, and students of UST in the department of PGSD. Data sources were taken from lecturer and students. Data were collected used test, observation, and interview technique. The data validity test is used triangulation. The data analysis technique that is used an interactive analysis that consisting of data collection, data reduction, data presentation and conclusion drawing. The result of the study shows that the use of GI able to improve the understanding of the basic concept of social study on the student in UST in department of PGSD. Lecturers may use the GI in the learning process to make students more active in study and to improve the understanding of students' conceptions.
BMTC Pay – An Android Based Project on Digital Payment System in Buses

As per the current scenario, the payment systemused in buses is same old way of getting the ticket from the conductor.This is way more time taking since providing with the correct amount (change) is not possible every time.Also communication takes more time as compared to digital booking.For example; the bus conductor has to print tickets for every passenger after knowing their respective stoppage which takes comparatively more time as compared to digital payment.The main idea behind this project is to collect the fare automatically using digital payment system.It will be designed to make travelling more comfortable for the people.Carrying changes will no longer be a problem and keeping an eye on the transactions will no longer be a headache for the government as well as for the passenger.
IMPROVING STUDENTS’ SPEAKING SKILLS THROUGH DEMONSTRATION METHOD OF THE CLASS XI IPS 1 STUDENTS OF SMA MUHAMMADIYAH 1 PALEMBANG

Improving Students’ English Speaking Skills Through Demonstration Method of The class XI IPS 1 students of SMA Muhammadiyah 1 Palembang. This study aims to improve the students’ speaking skills of class XI IPS 1 at SMA Muhammadiyah 1 Palembang by using the demonstration method. The subject of this research is all the students of class XI IPS1 of SMA Muhammadiyah Palembang consisting of 32 students. This study used descriptive qualitative and quantitative methods in which the data contained in this study are numbers, percentages and depictions used to determine the success or failure of a study. The research instrument was in the form of daily tests and interview. The data obtained from the instrument that shows students who reached the KKM on: (1) Pre-test are 3 students (9.37%), (2) the result of Cycle I is 7 students (21.87%), (3) the result of cycle II is 17 students ( 53.12%), and (4) the result of Cycle III is 25 students (78.12%). From the data can be concluded that the application of the demonstration method can improve students’ speaking skills of class XI IPS 1 studens of SMA Muhammadiyah 1 Palembang.
Optimisation collaborative sense of event area in smart camera networks

Smart camera networks have good application prospects in the future. Smart cameras as video sensors can adjust the focal length and 360° rotations so that they can flexibly observe the surrounding event area. It is an interesting issue how to schedule multiple video sensors for high-quality monitoring of multiple event points in the monitoring area; it is the same as coverage optimisation problem. In fact, this is a combinational optimisation problem. The optimal solution is achieved by adjusting the parameters of multiple sensing nodes. In this paper, the mathematical density condition of sense area covered is deduced firstly. Then, the smart sensor coverage optimisation problem is transformed into an NP-hard combinatorial optimisation issue. A heuristic greedy algorithm and a centralised hybrid algorithm combining the artificial bee colony algorithm with different algorithms are proposed. The algorithms are capable of solving this optimisation problem in different scenes. Finally, some simulations are conducted to contrast the performance of different algorithms. Experimental results show that the algorithms performed better than other similar algorithms in terms of time convergence and sense accuracy with different scenarios.
A Robust On-Road Vehicle Detection and Tracking Method Based on Monocular Vision

In this paper, we propose a new framework for vehicle detection and tracking. Multi-features are used in the vehicle detection algorithm, which can be divided into two main steps: generation of candidates using features such as the shadow and vertical edge, and verification of the candidates using HOG and SVM. In the vehicle tracking algorithm, the RGB model and orientation histogram are used to represent the object feature, and the mean shift is employed to search the mode of the potential object rapidly in a neighborhood frame, which obtains the preliminary tracking results. Then, we use ORB feature matching and correction methods to adjust the preliminary tracking results. The improved Mean-Shift tracking results and the ORB correction results are then fused by linear weighted, which obtains the final results of the tracking. Experimental results demonstrate that the proposed approach is robust and validate in complicated real scenes.
Stand Up Comedy Indonesia as Anecdote Text Learning Media in Senior High School: Study of Critical Discourse Analysis

This research is a descriptive qualitative study that examines the relevance of social criticism on Stand Up Comedy Indonesia towards anecdotal text learning in high school. Stand Up Comedy is a form of comedy or comedy that is delivered monologically to the audience. Stand Up comedy is not only an entertaining spectacle, but every material that is aired is criticized or the message delivered. The purpose of this study was to identify the relevance of social criticism on Stand Up Comedy Indonesia towards anecdotal text learning in high school. The data in this study are in the form of a Stand Up Comedy Indonesia video. The primary data source in this study is Stand Up comedy Kompas TV documents and videos on YouTube. While secondary data sources are relevant primary books, international journals, papers, etc. that are needed in the study of theory. The data collection technique in this study is by documentation and literature. The analysis technique used in this study uses qualitative analysis techniques. Because the data obtained are in the form of texts from various different literary sources, a text analysis is needed. The results of this study are three things. 1) The discourse of stand Up comedy academy has the same structure , namely based on the genre of discourse. 2) The schema and discourse sequence of stand Up comedy academy are in accordance with anecdotal texts, namely those that have components of abstract structure, orientation, crisis, reaction and code. The division of structures can be divided into two parts, complete structure and incomplete. 3) The implementation of the results of this study can be used as teaching material at the eleventh grade high school about producing coherent anecdotal texts in accordance with the characteristics of the text made both orally and in writing.
Investigation of the motivational-value component of the professional competence of future psychologists

The article deals with the problem of development of professional competence of future psychologists in the modern dynamic conditions of society. The criteria and indicators of development of professional competence are determined. The components of professional competence are singled out such as: motivational-value, operative-conative, reflexive-cognitive, emotional-regulative. The motivational-value component of the professional competence of future psychologists is theoretically substantiated and empirically investigated.
A Novel Priority Based Hadoop Energy Efficient Job Scheduling and Migration Technique with Multi Level Queue on YARN Scheduler

The process or the framework for MapReduce works in two parts as Mapper and Reducer.The reducer algorithm analyzes the input from the tasks characteristics and generate recommendations for the applicable allocation of the work and the mapper algorithm analyses the perfect or the best fit for the task or the programming running on the Hadoop clusters.The primary challenge is to manage the migration of the virtual machines to make these arrangements suitable to the Hadoop scheduling capabilities.Hence the demand from the research is to justly the Hadoop scheduling capabilities and test the performances of the scheduler strategies for diversified workloads.Also, it is important to design a virtual machine migration algorithm to justify the demands of low power consumptions.Accordingly, this work also coined an energy efficient technique for Hadoop MapReduce jobs scheduling and migration technique.The work results into a novel algorithm and provide significant improvement of the energy consumption.The outcome of the work also analyzes the improvement of other performance parameters like identification of ill-scheduled job and total execution time.This work demonstrates a significant 30% reduction of energy with nearly 40% reduction in job identification and migration time.
ANALISIS PENGENDALIAN MANAJEMEN INTERNAL TERHADAP KINERJA SISTEM INFORMASI AKUNTANSI PADA BANK UMUM PEMERINTAH DI WILAYAH BANDA ACEH

This study aims to analyze the performance of the internal management control to the system accounting information on a government-owned bank in the city of Banda Aceh. The study was conducted in three state-owned commercial banks in the city of Banda Aceh, namely Rakyat Indonesia’s Bank, Negara Indonesia’s Bank and Tabungan Negara’s Bank. Data was collected by means of documentation, interviews and questionnaires. After testing the quality of the data and then the data were analyzed using qualitative descriptive analysis of statistical data. The survey results revealed internal management control in state-owned commercial bank in the city of Banda Aceh was good enough, thereby increasing the efficiency and effectiveness of the acquisition of information. Accounting information system performance is affected by the internal management controls were nice, user involvement in system development, education and training on accounting information systems and also the presence of prominent representatives are actively involved in the information system.
Writing Procedure Texts Through “How To Make…” Video

ABSTRACT: The aim of this research is to describe whether there is effect in teaching writing procedure text for 7th grade students of SMP Al-Fattah Buduran Sidoarjo. The instrument to collect the data was test. After collected the data, the researcher analyzed it. The analysis of data were from pre test and post test score of experimental and control class. The result of the research showed that the mean score of experimental class higher than the mean of control class (83 &gt; 69.07) and the t-test result showed the value of t-test is higher than the value of t-table. The value of t-test was 6.163 while the value of t-table on α = 5% was 1.699. It indicated that the hypothesis of this research was accepted. For the next researcher, hope this research can be alternative method for teaching writing procedure text through video.
Improving the Performance of {0,1,3}-NAF Recoding Algorithm for Elliptic Curve Scalar Multiplication

Although scalar multiplication is highly fundamental to elliptic curve cryptography (ECC), it is the most time-consuming operation.The performance of such scalar multiplication depends on the performance of its scalar recoding which can be measured in terms of the time and memory consumed, as well as its level of security.This paper focuses on the conversion of binary scalar key representation into {0, 1, 3}-NAF non-adjacent form.Thus, we propose an improved {0, 1, 3}-NAF lookup table and mathematical formula algorithm which improves the performance of {0, 1, 3}-NAF algorithm.This is achieved by reducing the number of rows from 15 rows to 6 rows, and reading two (instead of three) digits to produce one.Furthermore, the improved lookup table reduces the recoding time of the algorithm by over 60% with a significant reduction in memory consumption even with an increase in key size.Specifically, the improved lookup table reduces the memory consumption by as much as 75% for the big key, which shows its higher level of resilience to side channel attacks.
RitSpee Generator: An Intraoral Speech Generating Device-Short Communication

All persons do communicate in some ways; however, the effectiveness and efficiency of this communication vary with a number of individual and environmental factors.People with severe speech or language problems rely on augmented and alternative Communication to supplement existing speech or replace speech that is not functional.This may increase social interaction, school performance, and feelings of self-worth.This article presents a design and concept of RitSpee generator, an intraoral speechgenerating device that could help people who are unable to produce sound or speech and live in the society with full dignity.The RitSpee generator would be having two components, one is intraoral and another external, both of which connected via wire-free communication and the sound would simulate the natural sound coming out of the mouth without any external physical component.
An Adaptive Rate-Distortion Optimization Algorithm for HEVC-SCC with High Perceptual Quality

Considering the characteristics of screen content video, an adaptive rate-distortion optimization algorithm based on CTU level of HEVC-SCC is proposed in this paper. By extracting the perceptual features from the spatial and temporal domain, a new perceptual feature for screen content video is proposed. In spatial domain, the gradient magnitude information of CU is used; in temporal domain, gradient direction as well as gradient magnitude is considered to utilize the correlation of adjacent frames. Then, an adaptive Lagrange operator is proposed to improve the rate-distortion performance of the screen content video coder. Experimental results show that the proposed algorithm can save 9.76% and 12.21% bitrate in random access mode and low delay mode, respectively, while maintaining the perceptual quality of screen content videos; for the same bitrate consumption, the proposed algorithm can improve 0.0057 and 0.006 perceptual quality in random access mode and low delay mode, respectively.
A multi-agent system approach for service deployment in the cloud

Nowadays, cloud computing is regarded as a new paradigm in the field of information technology. Since the emergence of this paradigm, most of corporations have started using it through the deployment or the use of its services. Furthermore, service deployment in the cloud forms its kernel function. To ensure a good function of service deployment we need to combine a set of services. In fact, to find a limited number candidate services constitutes a problem due to the absence of a unified service description. In this paper, we propose a solution to solve the deployment problem by considering it as a service composition taking into account the quality of service. Since we have many atomic services, this paper transforms this composition problem into an optimisation problem. Moreover, to reduce the number of service candidates we propose a new service description language to assist the discovery process. The implementation of this model has been provided in order to evaluate our system. The obtained results demonstrate the effectiveness of our proposed system.
Sparse discriminative multi manifold embedding based on graph optimization

Sparse discriminative multi manifold embedding (SDMME) algorithm was used for feature extraction, graph construction and projection learning were independent, the quality of the graph directly affects the effect of projection learning. In order to solve the problem, a new algorithm named sparse discriminative multi manifold embedding based on graph optimization (GOSDMME) was proposed in this paper. First, in proposed approach, the image matrix was divided into blocks. The matrix blocks on the same image were located on the same manifold. Then, the sparse graph was used to establish the connection relationship between different blocks. Finally, in the framework of the same objective function, the sparse constraint graphs and projections were studied simultaneously. The graphs and projections were learned at the same time, iterate and update the graph and projection to obtain a projection matrix that satisfies the accuracy requirements. The face recognition experiments conducted on Extended Yale B and CMU PIE datasets show that the new algorithm has better recognition performance than the SDMME algorithm.
Probabilistic logic reasoning for subjective interestingness analysis

This paper presents an approach that uses probabilistic logic reasoning to compute subjective interestingness scores for classification rules. In the proposed approach, domain knowledge is represented as a probabilistic logic program that encodes information from experts and statistical reports. The computation of interestingness scores is performed by a procedure that applies linear programming to reasoning regarding the probabilities of interest. It provides a mechanism to calculate probability-based subjective interestingness scores. Further, a sample application illustrates the use of the described approach.
Electronic portfolio as a means of successful employment of graduates of pedagogical profile

The paper presents the problem of developing and using the electronic portfolio of the future pedagogue from the point of view of its influence on his/her successful employment. It is proved the relevance of its being used for correct self-advertising by future professionals of pedagogical profile at the modern labour market that contributes to increasing the competitiveness and motivation for employment in the speciality. It is determined that the e-portfolio can serve as an instrument for measuring the quality of training a future specialist by means of his/her quantitative evaluation (participation in research work, scientific and practical conferences of various levels, competitions on subjects, contests of scientific papers and works, public life at higher educational institutions, towns and cities; printed and electronic publications, etc.) and high-quality (fellow students’ and lecturers’ reviews, letters of recommendation, letters of commendation, references of supervisors of practice and administration of the educational institution, rating of the success of the training, etc.) results of his/her activities. It is shown that for successful employment of the graduates the most effective is the so-called integrated e-portfolio that is the set of different blocks, such as general information about the student; portrait of a pedagogue; achievements; social activities; evaluation and comments. It is accentuated that the student’s e-portfolio makes it possible the following: introducing the information on participation in research-scientific work, learning and upbringing activities of the university; visualising the submitted information; reflecting the examples of his/her own activities, illustrating the process of performing this or that work; monitoring the results of the work performed
2D-to-3D Scene Generation and Rendering using CNN and Spatial Knowledge Representation

Picture to 3D scene generation framework creates a conceivable 3D graphical scene from a given 2D advanced picture input.Because of overpowering utilization of 3D models in computer games, robot routes, virtual situations and even in field of interior designing there is a developing enthusiasm for 3D scene generation, scene comprehension and 3D demonstrate recovery.Here proposed another framework which is the mix of profound learning with spatial information portrayal to construct a rearranged 3D demonstrate from a solitary picture.The info picture is changed over into characteristic language depiction by utilizing a neural system.At last an improved 3D scene created from this depiction utilizing semantic parsing and spatial learning.The framework is extremely compelling at delivering important 3D scene straight forwardly from a 2D picture.The new framework additionally presented a system for rendering and controlling the scene through iterative info directions.