Reviewerly/exHarmony huggingface dataset:
Improvement Of Social Studies Learning outcomes Throughthe Application Of Mindmapping Learning Model For Class V Students Of Sd Inpres 3/77 Manurungnge

The problem found in this study is the low learning outcomes of Social Studies students in class V SD Inpres 3/77 Manurungnge Tanete Riattang District Bone Regency.The purpose of this study was to determine the increase in social studies learning outcomes through the application of Mind Mapping learning models for fifth grade students of SD Inpres 3/77 Manurungnge Tanete Riattang District Bone Regency.The approach used is a descriptive qualitative approach with Classroom Action Research (CAR) consisting of action planning, action implementation, observation, and reflection.The focus of this research is seen from the results of students' social studies learning and the application of Mind Mapping learning models.The subjects in this study were the teacher and all 16 grade V students, consisting of 6 men and 10 women.Data collection techniques used are observation, testing and documentation.Data analysis techniques consist of data reduction, presentation and conclusion drawing.The results showed that student learning outcomes in Cycle I with the category Fair (C) and increased to the Good category (B) in cycle II.Then it can be concluded that social studies learning outcomes can be improved through the application of Mind Mapping learning models for fifth grade students of SD Inpres 3/77 Manurungnge Tanete Riattang District Bone Regency.
Toward the Ontology-Based Security Verification and Validation Model for the Vehicular Domain

Security verification and validation is an essential part of the development phase in current and future vehicles. It is essential to ensure that a sufficient level of security is achieved. This process determines whether or not all security issues are covered and confirms that security requirements and implemented measures meet the security needs. This work proposes a novel ontology-based security verification and validation model in the vehicular area. Ontologies allow creating a comprehensive view of threats and security requirements. The proposed model performs a series of queries and inference rules to the comprehensive view to ensure the compliance of vehicle components with security requirements.
Teaching Reading Comprehension Through Story Mapping Strategy (SMS) (Experimental Research at sechond Grade of MTs AL-FATH Cilegon Academic Year 2015/2016)

YAYAH UKHROWIYAH,2017,Teaching Reading Comprehension Through Story Mapping Strategy (SMS) (Experimental Research at sechond Grade of MTs AL-FATH Cilegon Academic Year 2015/2016). (undergraduate research paper, Department of English Educatio, Faculty of Education and Reacher Treaning, The state Intitute for Islamic studies Sultan Maulana Hasanuddin Banten). Advisers Dr. Naf’an Tarihoran, M.hum and Yayu Heryatun, M.Pd. ABSTRACT This research investigates the use of story mapping strategy (SMS) on teaching reading comprehension. The research is conducted on the main problems: 1. How is students’ reading comprehension skills at MTs Al-Fath Cilegon?2. How is the effective story mapping strategy (SMS) in teaching reading comprehension in this school?. This research aims of studty the following: 1. To know students’ reading comprehension at MTs Al-Fath Cilegon.2. To find out how effective the use of story mapping strategy (SMS) in teaching reading comprehension in this school. To answers the questions, the writer collect data from 60 students as a sample into two clasess, one class as experimental class and another one as the control class, by applying experimental research methode. The population is the second grade of MTs Al-Fath Cilegon divide in two clasess as a sample while class B is experiment class and class C as the control class. Since the research uses quasi experiment method, the data is gathered through pre-test and post-test. From the result calculation above, the value of t0 = 2,90 the degree of freedom (df) = 40. The writer use degree of significant 5% = 2,02 and 1%= 2,72. It means that Ha (Alternative Hypothesis) of the research is accepted and H0 (Null Hypothesis) is rejected.The writer compared it tt both degree of significant 5% and 1 % t0>2,02 2,72. It means (Alternative Hypothesis) of the research is accepted. So, based on strategy in teaching reading on narrative text has positive effect. Finally, it was suggested that English teacher should have appropriate method in teaching English and be more motivated in order to make the learning process of the students more fun that can make the students enjoy in their learning.
System size scaling of collective dephasing

Decoherence is the main obstacle to quantum computation. The decoherence rate per qubit is typically assumed to be constant. It is known, however, that quantum registers coupling to a single reservoir can show a decoherence rate per qubit that increases linearly with the number of qubits. This effect has been referred to as superdecoherence, and has been suggested to pose a threat to the scalability of quantum computation. Here, we show that superdecoherence is absent when the spectrum of the single reservoir is continuous, rather than discrete. The reason of this absence, is that, as the number of qubits is increased, a quantum register inevitably becomes susceptible to an ever narrower bandwidth of frequencies in the reservoir. Furthermore, we show that for superdecoherence to occur in a reservoir with a discrete spectrum, one of the frequencies in the reservoir has to coincide exactly with the frequency the quantum register is most susceptible to. We thus fully resolve the conditions that determine the presence or absence of superdecoherence. We conclude that superdecoherence is easily avoidable in practical realizations of quantum computers.
Psychological Correction Of Young Specialists And Its Brain Correlates

Patterns of the electrical activity of the brain in the ultraslow bandpass were registered by two groups of young students of psychology, practically normal, urban dwellers. The registration, which took about 15 to 20 minutes in each case, was conducted twice, with eyes closed, first prior to passing a course of psychological correction, and second, right after it. The course was two week long, 1.5 hours a day. It comprised listening to either random sounds of nature (control group) or, to familiar music (main group). Two basic trends in dynamics of mean spectral power of signals were demonstrated for members of the main group: if the initial level of ultraslow activity was high, it tended to fall as a result of passing the course; if the initial level was low, it tended to rise. As a result, sort of ‘fine tuning’ of the activity of the brain took place, which was not the case of the control group. In terms of physiology, the overall functional state of members of the latter tended to pass moderate activation. As to the members of main group, their functional state passed more sophisticated tuning, depending on its initial level. Presence of such tuning, forming part of normal adaptive capacity. was corroborated by data of molecular biological survey.
A Method of Intelligent Dynamic Monitoring for Real-Time Data Streaming Processing Systems

We introduce a method that dynamically calculating a threshold value in real-time using ML techniques to determine whether a large IT system maintains its targeted performance and whether it is operating normally without the intervention of the operator operating the system.
Implementation of Small Group Discussion To Improve The Students’ Writing Narrative Text At Class X of Sma Negeri 2 Padangsidimpuan .

The study was aimed to measure the improvement of the students’ writing skill through small group discussion. The subject of this study was the 10th grade students of senior high school 2 Padangsidimpuan which was consisted of 30 students. The method of this research was classroom action research (CAR) that consisted of 2 cycles. The instruments used were observation and interview. In analyzing the data, this study used both quantitative and qualitative data. Quantitatively, the data was obtained from the students’ score of test. The result of the test of pre-test showed that the mean of students’ score was 57 which only 15% or 5 from 30 students who passed the minimum passing grade (MPG). In the cycle I there were 10 or 35% who improved and the mean score was 62. Meanwhile In the cycle II, the students’ mean score was 75 which indicate that 23 students or 69% passed the MPG. Qualitatively, the data was taken from observation and interview. In observation, the researcher observed the situation and the condition before and after the treatment. While in interview, the researcher asked some question to the teacher and the students about their feelings or responds before and after doing the treatment. Based on the result of data analysis there was improvement on student’s writing achievement in each cycle and strengthened by the observation and the interview that showed the condition or situation of the class was students were motivated and interested during the teaching and learning process which means that small group discussion could improve the students’ writing skills.
ALIRAN INFORMASI DAN GAYA KEPEMIMPINAN PADA DINAS ARSIP DAN PERPUSTAKAAN DAERAH KABUPATEN BULELENG

This research is entitled Information Flow and Leadership Style in the Regional Library and Archives Office of Buleleng Regency.The purpose this study was to determine the flow of information applied in the Regional Archives and Library Service of Buleleng Regency in an effort to communicate information and to find out the Leadership Style that was applied in the Regional Library and Archives of Buleleng Regency.This study uses an interpretive approach.The research method used is a qualitative method with a descriptive level.Therefore, to fulfill the existing data, the researcher chose the informant in this study based on the position in each field in the Regional Library and Archive Office of Buleleng Regency.The selection of informants using the Purposive Sampling method.While the technique of collecting data through interviews and observation.The results of the study show that the flow of information that occurs is running well and effectively.But it still cannot be said entirely because the communication that occurs is still not entirely open, even though in fact everyone has the right and free communication, while the leadership style that occurs in the Regional Library and Archive Library of Buleleng Regency is a semi-absolute leadership style.
Rate-controlled Low Latency Service with OpenFlow

The use of interactive media applications is becoming more common. With the current advancements in technologies, applications are becoming more advanced and research is being performed into adding more modalities to these applications to enrich the experience and increase their capabilities and uses. he performance of these applications depends heavily on the network resources available to them. Through the use of congestion control algorithms, these applications are able to get a fair share of the available bandwidth. However, congestion control algorithms are unable to minimize the delay caused by competing traffic. By combining the capabilities of OpenFlow with a priority queueing setup, we showed that we can provide low latency to a subset of flows. To control the utilization of the network resources and the effect the prioritization has on best-effort traffic, we use OpenFlow to control the bit rates of the high-priority flows. We show that by adjusting the ECN marking ratios of flows we are able to accurately control the bitrate of each of them.
Unsupervised multi-word term recognition in Welsh

This paper investigates an adaptation of an existing system for multi-word term recognition, originally developed for English, for Welsh. We overview the modifications required with a special focus on an important difference between the two representatives of two language families, Germanic and Celtic, which is concerned with the directionality of noun phrases. We successfully modelled these differences by means of lexico–syntactic patterns, which represent parameters of the system and, therefore, required no re–implementation of the core algorithm. The performance of the Welsh version was compared against that of the English version. For this purpose, we assembled three parallel domain–specific corpora. The results were compared in terms of precision and recall. Comparable performance was achieved across the three domains in terms of the two measures (P = 68.9%, R = 55.7%), but also in the ranking of automatically extracted terms measured by weighted kappa coefficient (k = 0.7758). These early results indicate that our approach to term recognition can provide a basis for machine translation of multi-word terms.
A Static Gesture Recognition Algorithm Based on DAG-SVMs

In this paper, a static gesture recognition method with Kinect depth sensor to collect various gesture depth images was proposed. Based on the depth probability statistics of the original depth histogram, the neighborhood statistical parameters were added to construct the two-dimensional depth histogram so as to extract gesture images. In addition, the idea of integrating edge feature Hu moment and edge length moment as new features of static gesture is presented, and the improved DAG-SVMs algorithm is used to train gesture recognition so as to improve the recognition rate of the algorithm. Experimental results show that recognition rate of the recognition method achieves 97.96%
Analisis Motivasi Berprestasi dan Keaktifan Berorganisasi terhadap Indeks Prestasi Aktivis Mahasiswa pada Unit Kegiatan Mahasiswa Fakultas Keguruan dan Ilmu Pendidikan Universitas Muhammadiyah Surakarta

This study aims to determine how much influence the achievement motivation and organizational activeness has on student achievement index in the UMS Faculty of Teacher Training and Education student activity units. This research is a type of quantitative research with a descriptive research design. The population of 98 students was taken as many as 45 students as a sample using the Simple Incidental technique. The instrument used was a questionnaire. While the data analysis technique uses analysis prerequisite test using normality test and linearity test, and testing the hypothesis using multiple linear regression analysis, t test, coefficient of determination (R2). The results showed that there was a positive and significant effect between achievement motivation variables (X1) on the FKIP UMS student achievement index as indicated by tcount 2.473 and sig 0.018, while organizational activity (X2) on the FKIP UMS student achievement index showed a negative and significant effect with tcount -2,645 and sig 0.011 and the coefficient of determination results in a value of 0.144. This shows that the influence of achievement motivation and organizational activeness variables on the student achievement index in the UMS Faculty of Teacher Training and Education student activity units was 14.4% while the remaining 85.6% was influenced by outside variables.
3D Objects Learning and Recognition Using Boosted-SVM Algorithm

3D object recognition is one of the most challenging tasks facing artificial systems. Thus, the ability to detect and localize the regions of interest is necessary to provide an enhanced searching and visualisation beyond a simple high-level categorisation. Recently, many approaches based on 3D objects learning have been proposed, they rely on learning objects characteristics from fully labelled 3D objects. However, such data training steps are difficult to be acquired at scale. In this paper we explore machine learning techniques to recognize objects, based on local parts, from a data base. The idea behind our approach is to compute and label the quantized local descriptor around 3D interest points using both intuitive geometric and spatial properties and an effective supervised classifier, named respectively Tri Spin Image and boosted-SVM classifier. First, we extract the salient points using Harris3D then the significant and robust feature vectors representing the keypoints are computed then quantized using bag of features. Second, we use these vectors to train a boosted-SVM classifier. The performance of the proposed method is evaluated and proves encouraging results.
Differential mobile robot for domotic assistance service

This paper shows a mobile robot whose purpose is to provide comfort and meet various needs that may arise in family homes. This mobile has different sensors that allow monitoring the house remotely, since it has a direct connection between the user and the robot through a graphical interface connected to a wireless network, which shows all the readings of the sensors among other things. The sensory system sends orders to the different actuators that perform the order programmed by the user
The Effectiveness Using Riddle Game In Teaching Speaking Ability (An Experimental Research at The Second Grade of MA Darul Falah Kota Serang)

Mutmainah SRN :132301472 “The Effectiveness Using Riddle Game In Teaching Speaking Ability (An Experimental Research at The Second Grade of MA Darul Falah Kota Serang) (undergraduate research paper, department of English Education, Faculty of Education and teacher training, state Islamic University, “Sultan MaulanaHasanudin” Banten). Adviser : Dr. H. Abdul Muin, S.Ag., M.M. and Drs. H. Busthomi Ibrahim, M.Ag. This research investigates The Effectiveness Using Riddle Game In Teaching Speaking Ability (An Experimental Research at The Second Grade of MA Darul Falah Kota Serang). The research is conducted based on the main problems: (1) How is the students ability in speaking English at second grade of MA Darul Falah Kota Serang? (2) How is the Riddle Game applied in speaking class? (3) How is the effectiveness of riddle game in teaching speaking ability? this research oriented to the following aims: (1) To find out speaking ability at MA Darul Falah Kota Serang (2) To find out the Riddle Game applied in speaking class (3) To find out the effectiveness of riddle game in teaching speaking ability The method of research experimental. the population is much as 60 students at the second grade of MA Darul Falah Kota Serang. Serang that consist of two class A and B generally consisting of 30 students. The research choose two classess as a sample while class A is experiment class and B as a control class. Since the research uses A is experiment class and class B as the control class. Since the research class as experiment method, the data is gathered through pretest and post-test. The results of the research shows that the hypothesis, that the null hypothesis is rejected its shown from statistical value that significant 5%=2,00 and significant of 1%=2,66 and the result of t0=4,39. It means that there is effect of using riddle game in teaching speaking ability at second grade of MA Darul Falah Kota Serang. Keyword : Riddle Game, Game in Teaching, Speaking, Experiment
Upaya Peningkatan Hasil Belajar IPS Melalui Model Pembelajaran Teams Games Tournament Berbantu Media Monopoli Untuk Kelas IV SDN Sidorejo

ABSTRACTErinda Diah Nur Aini / A510150042. EFFORTS TO IMPROVE IPS LEARNING RESULTS THROUGH THE MODEL OF TEAMS GAMES TOURNAMENT BASED BY MONOPOLY MEDIA FOR CLASS IV SDN SIDOREJO, Essay. Surakarta: Faculty of Teacher Training and Education, University of Muhammadiyah Surakarta. 2019The research objective is to improve student learning outcomes through the Teams Games Tournament learning model assisted by monopolistic media. The method applied in this research is Classroom Action Research (CAR). This research was conducted with two cycles in each cycle requiring two meetings. In each cycle there are 4 stages: planning, action, observation, and reflection. The results showed that there was an increase in learning outcomes in the cognitive, affective, and psychomotor domains. Learning outcomes of students in the cognitive domain in the initial conditions only reached 34.8% or 8 students who achieved complete scores, increased by 26.6% in the first cycle to 57.0% or 13 students received complete scores, an increase of 26.0 % in the second cycle to 83.0% or 19 students have completed grades. Whereas the affective domain results also increase each cycle. In the initial condition only reached 21.7% or 5 students who had completed grades, then there was an increase of 21.3% in the first cycle to 43.0% or 10 students who had completed grades, an increase of 44.0% in the second cycle to 87.0% or 20 students have reached completion. In addition, psychomotor learning outcomes have also increased, in the initial conditions there were only 30.4% or 7 students who had completed grades, there was an increase reaching 26.6% in the first cycle with 57.0% results or 13 students achieve complete value, an increase of 26.0% in the second cycle to 83.0% or 19 students have received complete scores.Keywords: Learning outcomes, teams games tournament, monopoly
Detection of specific areas and densities for ultrasound tomography

In this paper we consider the problem of ultrasound tomography. Recently, an increased interest in ultrasound tomography has been caused by non-invasiveness of the method and increased detection accuracy (as compared to radiation tomography), and also ultrasound tomography does not put at risk human health. We study possibilities of detection of specific areas and determining their density using ultrasound tomography data. The process of image reconstruction based on ultrasound data is computationally complex and time consuming. It contains the following parts: calculation of the time-of-flight (TOF) of a signal, detection of specific areas, calculation of density of specific areas. The calculation of the arrival time of a signal is a very important part, because the errors in the calculation of quantities strongly influence the total problem solution. We offer ultrasound imaging reconstruction technology that can be easily parallelized. The whole process is described: from extracting the arrival times of signals raw data feeding from physical receivers to obtaining the desired results.
Effects of Transfer Learning on Data Augmentation with Generative Adversarial Networks

Data augmentation is a technique that acquires more training data by augmenting available samples, where the training data is used to fit model parameters. Data augmentation is utilized due to a sh ...
A Method of Digital Image Source Forensics Based on Wavelet Higher-Order Statistics

In order to identify whether the image is from a camera or other electronic devices, this paper presents an image source forensic method based on wavelet higher order statistics, which uses the influence of the generation path on image properties and mathematical statistics. From the perspective of multi-scale analysis of the image, we study the unique characteristics of the image from different sources in the transform domain, and extract the high-order statistical characteristics of the wavelet domain in the digital image to determine the source of the image.
Improved bounds for two query adaptive bitprobe schemes storing five elements

In this paper, we study two-bitprobe adaptive schemes storing five elements. For this class of schemes, the best known lower bound is Ω(m1/2) due to Alon and Feige [1]. Recently, it was proved by Kesh [2] that two-bitprobe adaptive schemes storing three elements will take at least Ω(m2/3) space, which also puts a lower bound on schemes storing five elements. In this work, we have improved the lower bound to Ω(m3/4). We also present a scheme for the same that takes O(m5/6) space. This improves upon the O(m18/19)-scheme due to Garg [3] and the O(m10/11)-scheme due to Baig et al. [4].
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