Reviewerly/exHarmony huggingface dataset:
Application Analysis of Computer Software Technology under the Age of Big Data

With the rapid development of computer technology, the level of various types of computer software has also risen linearly, and is widely used in all aspects of society, directly affecting people's lives and work. Especially in the era of big data with rapid growth of information, it has effectively expanded the development space of computer technology applications and promoted the development of computer software technology. Based on the development of computer software in the era of big data, this paper analyzes the specific application of computer software technology in big data, and explores and analyzes it.
Discussion on the frequency and bandwidth of continuous variable entangled microwave signal

We discuss the relationship between the photon frequency used to produce a continuous variable entangled microwave signal and the signal frequency used for its measurement. We analyze the bandwidth of the continuous variable entangled microwave signal and characterize quantum fluctuations using a quantum sideband representation. The quantum fluctuations of entangled microwave signal follow a true random distribution that is similar to noise. And entangled information is reflected by quantum fluctuations. We conclude that the frequency of generated photons corresponds to the center frequency obtained after performing a Fourier transform on the measured signal, whereas the bandwidth of entangled microwave signal is infinite. Due to the high precision of the measurement from its ultra-wideband behavior, as well as the security afforded by the true randomness and non-localized quantum correlation, these entangled microwaves show significant advantages and potential application value in various fields.
PENINGKATAN KEMAMPUAN MEMAHAMI CERITA DALAM BUKU PELAJARAN BAHASA INDONESIA MELALUI METODE ROLLING BOOK PADA SISWA KELAS V SEKOLAH DASAR NEGERI 64 TO’BULUNG KOTA PALOPO

The focus of the problem in this research is the application of the method of word guessing and improvement of science learning outcomes in the human digestive organ material in grade V Madrasah Ibtidaiyah 43 Batulotong. Furthermore, this study aims to improve students' understanding in teaching subjects IPA Madrasah Ibtidaiyah 43 Batulotong so that the quality of learning can be achieved optimally. This research uses qualitative approach and quantitative approach with Classroom Action Research (CAR) which is designed through three cycles. The research data obtained were analyzed by using descriptive statistic formula (percentage) to express descriptively the research result. Furthermore, to discuss and explain the results of research that is qualitative descriptive techniques used data reduction analysis, data presentation, and conclusion. From the research results showed that in the pre cycle stage, the average value of student learning outcomes is 50.70. With a classical thoroughness of 7.69%. After implemented by applying the method of guessing words, in the first cycle, the average score of student learning outcomes is 63.92 with 39% complete classical learning. Furthermore, in cycle II with the average value of student learning outcomes is 88.62 with 79.16% classical learning completeness. Then, continued in cycle III with the average value of student learning outcomes is 90.42 with classical learning completeness 88.46%. Thus, students' learning outcomes on science lessons in grade V Madrasah Ibtidaiyah by applying the word guess method can increase in each cycle. Therefore, the method of word guessing should be used as a reference by teachers in science learning activities in SD / MI, especially in Madrasah Ibtidaiyah 43 Batulotong.
Risk and Uncertainty in Engineering Projects: A Survey of Professionals

Engineering projects tend to present numerous uncertainties due to a lack of information or unreliable information, new technologies, project complexity or even unpredictable factors. These uncertainties can affect the project´s success. This paper aims to investigate the level of knowledge and adoption of risk management practices in engineering projects. Moreover, the paper aims to explore the perception of the influence of risk management on project success. The methodological approach was a survey-based study with a sample of 596 respondents. The results indicated that most professionals (61.6%) know of the PMBoK® and try to partially or totally apply it, followed by ISO 31000 (24.7%) and ICB/IPMA (13.6%). Considering the success dimensions, the most frequent consequences associated with risk were delayed schedule, increased cost, damaged client reputation, and decreased quality.
PENERAPAN METODE MIND MAPPING DALAM PEMBELAJARAN MENULIS TEKS ANEKDOT PADA SISWA KELAS X DI MA NURUL FALAH CIMAHI

The background of this research is the difficulty of students in writing anecdotal texts. Writing is one aspect of language skills. Students are not optimal in writing anecdotal texts. Did the mind mapping method succeed in improving the skills of writing anecdotal texts? To find out the results of applying mind mapping methods to learning to write anecdotal texts. Researchers use the method of pre-experimental designs (One-Group Pretest-Posttest Design) as a research design that applies the initial test and final test. The results of this study compare before and after being given treatment to students with the results of the assessment of learning implementation Students who are better able to write anecdotal texts using the mind mapping method in the learning process. This is evident from the results of the average pre-test score of 63.65 and the average post-test score of 78.84. Paired T-test sample test through SPSS shows that the value of sig.0,000 <0.05 means that there are differences in the results of the pre-test and post-test values after being treated. This means that mind mapping is good for writing anecdotal texts. Writing anecdotal text using the mind mapping method was successfully implemented.
PSYCHODIDACTIC PRINCIPLES OF EDUCATIONAL GEOGRAPHIC MODELING

The comprehensive development of personality is one of the objectives of geographical education. Its accomplishment requires the strengthening of the links between the didactics of geography and pedagogical psychology. Therefore, at present, both the lecturer and the teacher of geography must form and perfect their psycho-didactic competence. Universal educational models have a figurative and conceptual character. Application of them provides not only the formation of objective geographical competence but also the skills of independent cognitive activity. The problem of the use of educational models in education has been revealed in the works of domestic and foreign teachers, psychologists and researchers in the field of geography teaching techniques. But the question of the optimal use of educational modeling in geography studies requires further research.The use of educational models allows students and pupils to master educational and cognitive actions that allow making reliable descriptions of geographical objects of study, to summarize the results of their own research with the help of independent model construction. The main aspects of the application of models in the study of geography are scientific, subjective and activity ones. Considering these aspects ensures the effectiveness of the use of training simulation. On the basis of the creation and application of educational models, there is a simulation of educational and cognitive activity of students and pupils. The educational model is built on the basis of known facts, but it reflects only the most significant, the most important ones for study. If the educational model involves educational activities that correspond to the stages of cognitive activity (interiorization, incorporation, and exteriorization), geographic knowledge can be used by students and pupils at the creative level. Geographic educational modeling involves the creation of a model as a substitute for the original geographical object of study, which provides for the organization of active educational and cognitive activity.
BitTorrent Protocol and a Modified Secretary Problem

BitTorrent is a popular file sharing protocol in which a user downloads a file from a large collection of seeders, each of which has the file. The user downloads from b of these seeders, but repeatedly drops its worst connection and establishes a new one in search of the best b connections. In this paper we model the BitTorrent protocol using a modified secretary problem, and in doing so find precise stopping times for an arbitrary b. We show that every b gives the same success probability, and that this probability asymptotically approaches 1/e.
The Effect Of Giving Health Education About Free Sex Using The method Brain M0pping On Changes In The Level Of Knowledge Of Class VIII Students

Adolescents are the next generation of the nation, in Indonesia Adolescents have a considerable proportion. But juvenile delinquency is increasingly worrying, among others, free sex. This is because not yet the maximum sex education provided to adolescents, including information media. In health education the media has an important influence in delivering information. Mind Mapping was chosen as a medium in delivering sex education information. This study aims to determine the effect of giving sex education with media mind mapping to knowledge Research was conducted at SMPN 1 Bandung Tulungagung on February 4 - 12, 2018 to 50 respondents. Design Experimental with pre test - post test design. The population of all class VIII students with simple random sampling technique was in accordance with the inclusion criteria. The results showed that before being given sex education as many as 21 respondents had good grades. after being given sex education brain mopping 33 respondents had good grades. The Wilcoxon Test Sign Rank Test results show a value of p 0,000 (p <I±) which means H0 is rejected. Brain mopping is more attractive to the brain because of the use of images, colors and keywords. It is recommended for further researchers to further examine the use of educational aids media.
Fungsi ~Tokoro, ~Teiru Tokoro, ~Ta Tokoro dan Perbandingan dengan ~Te Iru, ~Ta Bakari

ABSTRACT&#x0D; &#x0D; In Japanese, Tokoro actually means "place", but besides that it also shows a certain time. Here I examine the meaning of the second tokoro. Tokoro is used to emphasize meaning and explain the time when an activity occurred.&#x0D; &#x0D; The data used in this study are in the form of tokoro, teiru tokoro, ta tokoro and the comparison with the same, ta bakari, which is analyzed based on the functions and differences. In the analysis phase using the method of religion which contains some research techniques. Based on the analysis that has been done, it can be seen the difference between the two vocabulary. Practically this research is expected to be useful for foreign speakers of Japanese. Here the author hopes that after completing the nihongo bunpou course students are expected to have grammatical knowledge in Japanese then specifically after attending classes with subjects in the form of tokoro, teiru tokoro, ta tokoro and their comparison with the following, ta bakari, which is based on function and the difference so students can understand and apply it in Japanese.&#x0D; &#x0D; Keywords: tokoro, te iru tokoro, ta tokoro, ta bakari, comparison and function&#x0D;
Java Serverless Development

Serverless programming is slowly being adopted by mainstream development. Fundamentally, serverless programming means that the server or infrastructure is being managed by the infra/cloud provider, but the code still exists and runs on some machine. As a developer, you should be concerned about solving the problem and deploying it. Based on the scale demand, the infrastructure provider or framework is responsible for managing the number of active nodes running the supplied code at any time. In other words, allocation of machines is dynamic and managed by the infra provider. There are quite a few advantages as well as concerns related to being serverless. Let’s look at some of them.
Neural network based representation learning and modeling for speech and speaker recognition

Author(s): Guo, Jinxi | Advisor(s): Alwan, Abeer A.H. | Abstract: Deep learning and neural network research has grown significantly in the fields of automatic speech recognition (ASR) and speaker recognition. Compared to traditional methods, deep learning-based approaches are more powerful in learning representation from data and building complex models. In this dissertation, we focus on representation learning and modeling using neural network-based approaches for speech and speaker recognition. In the first part of the dissertation, we present two novel neural network-based methods to learn speaker-specific and phoneme-invariant features for short-utterance speaker verification. We first propose to learn a spectral feature mapping from each speech signal to the corresponding subglottal acoustic signal which has less phoneme variation, using deep neural networks (DNNs). The estimated subglottal features show better speaker-separation ability and provide complementary information when combined with traditional speech features on speaker verification tasks. Additional, we propose another DNN-based mapping model, which maps the speaker representation extracted from short utterances to the speaker representation extracted from long utterances of the same speaker. Two non-linear regression models using an autoencoder are proposed to learn this mapping, and they both improve speaker verification performance significantly.In the second part of the dissertation, we design several new neural network models which take raw speech features (either complex Discrete Fourier Transform (DFT) features or raw waveforms) as input, and perform the feature extraction and phone classification jointly. We first propose a unified deep Highway (HW) network with a time-delayed bottleneck layer (TDB), in the middle, for feature extraction. The TDB-HW networks with complex DFT features as input provide significantly lower error rates compared with hand-designed spectrum features on large-scale keyword spotting tasks. Next, we present a 1-D Convolutional Neural Network (CNN) model, which takes raw waveforms as input and uses convolutional layers to do hierarchical feature extraction. The proposed 1-D CNN model outperforms standard systems with hand-designed features. In order to further reduce the redundancy of the 1-D CNN model, we propose a filter sampling and combination (FSC) technique, which can reduce the model size by 70% and still improve the performance on ASR tasks.In the third part of dissertation, we propose two novel neural-network models for sequence modeling. We first propose an attention mechanism for acoustic sequence modeling. The attention mechanism can automatically predict the importance of each time step and select the most important information from sequences. Secondly, we present a sequence-to-sequence based spelling correction model for end-to-end ASR. The proposed correction model can effectively correct errors made by the ASR systems.
Game|lan:Co-Designing and Co-Creating an Orchestra of Digital Musical Instruments within the Fab Lab Network

Conference paper published in Proceedings of the 17th Linux Audio Conference (LAC-19), available at http://lac.linuxaudio.org/2019/
VISIBILITY IMPROVEMENT BY CCT TUNABLE LED HEADLAMP UNDER THE ADVERSE WEATHER CONDITIONS

Since visibility is a very important factor under the adverse weather conditions like fog, rain, snow, and yellow dust and much more in nighttime, we need to understand the characteristics of visibility under the conditions.For this reason, we built two test-beds to simulate the adverse weather conditions, one for fog, rain, and snow and the other for yellow dust.We also developed a set of CCT tunable LED automotive headlamp for the evaluation of the visibility in different CCT headlamp.The CCT of the headlamp used for the experiments was 3000K and 6500K, and we measured the reflective luminance on the visual targets and calculated the relative luminance and contrast ratio.Additionally, we collected the subjective evaluation data.The results showed that the visibility was higher at low CCT in fog and rain but it was higher at high CCT in snow and yellow dust.Likewise, subjective evaluation showed the similar tendency.
Structural adaptive anisotropic recursive filter for blind medical image deconvolution

Performance of radiographic diagnosis and therapeutic intervention heavily depends on the quality of acquired images. Over decades, a range of pre-processing for image enhancement has been explored. Among the most recent proposals is iterative blinded image deconvolution, which aims to identify the inheritant point spread function, degrading images during acquisition. Thus far, the technique has been known for its poor convergence and stability and was recently superseded by non-negativity and support constraints recursive image filtering. However, the latter requires a priori on intrinsic properties of imaging sensor, e.g., distribution, noise floor and field of view. Most importantly, since homogeneity assumption was implied by deconvolution, recovered degrading function was global, disregarding fidelity of underlying objects. This paper proposes a modified recursive filtering with similar non-negativity constraints, but also taking into account local anisotropic structure of content. The experiment reported herein demonstrates its superior convergence property, while also preserving crucial image feature.
PENERAPAN PEMBELAJARAN ELEARNING UNTUK MENINGKATKAN PEMAHAMAN MAHASISWA TERHADAP MATA KULIAH PERENCANAAN PEMBELAJARAN DI PGSD FKIP UNSYIAH

In accordance with the demands of technological and information development lecturers are required to make innovation in learning. One of the innovation that lecturers can apply in their teaching is learning through the use of e-learning. The approach in this study used qualitative research with the research subjects of the Unsyiah FKIP PGSD students who attended the learning planning course. The technique of data collection is done through observation and interviews. The results of the study show that students can understand the material well through e-learning. With various forms of material used such as modules, PPT and video can help students understand the material of each topic. The conclusions in this study through the use of e-learning can improve students' understanding of learning planning courses. This can be seen from the scores of the assignments and the quiz that is done on each topic gets good grades.
Research on Detecting Taper Thread Based on Digital Image Processing Technology of Feature Detection

Digital image processing and analysis technology has been rapidly developed and widely used in today's digital information age, and has shown an important position. Digital image processing technology mainly includes image binarization, edge detection, contour extraction and thread geometric parameters calculation. At the same time, the points on the boundary are sorted, and the transition points in the boundary feature points are detected. Finally, the point boundary polygon is constructed. In the feature description stage, the local features are described, and the image is digitally processed in the computer to obtain the contour of the thread, thereby calculating the geometric parameters of the thread and improving the fidelity of the image quality, which is generally called image restoration technology. Feature detection not only has good matching performance, but also has a lower dimension, which is very beneficial to improve the matching speed of image features. Image enhancement techniques will be used primarily in the pre-processing of tapered threads to improve image quality.
Performance Evaluation of Different Local Binary Operators for Texture Classification

Local Binary Patterns (LBP) have brightened up as one of the most eminent and widely studied texture descriptors. The LBP descriptor has gained high acceptance due to its simplicity, high distinguishing power, and flexibility. As such, it has been deployed in several applications where it has performed well. This is why LBP is the basis for a new research direction. Several forms of LBP have been suggested to increase its discriminative ability during texture classification and to improve its robustness to noise. Since 2002, different texture descriptors had been proposed. These texture descriptors were inspired by LBP and proposed to overcome its limitations. Examples of these texture descriptors are Local Ternary Pattern (LTP), Completed Local Binary Pattern (CLBP), Completed Local Binary Count (CLBC), Completed Local Ternary Pattern (CLTP), and Wavelet Completed Local Ternary Pattern (WCLTP). Due to the importance of texture descriptors in image classification, the performance of different texture descriptors is studied and investigated for image texture classification in this paper. This study also strived to improve the role of image texture information in classification processes. Different experiments were conducted using two benchmark texture datasets - CuRTex and OuTex. The experimental results showed that the WCLTP outperformed the remaining texture descriptors. The WCLTP achieved 99.35% and 96.89% classification performance accuracy with CuRTex and OuTRex, respectively.
Bridging between 0/1 and Linear Programming via Random Walks.

Under the Strong Exponential Time Hypothesis, an integer linear program with n Boolean-valued variables and m equations cannot be solved in cn time for any constant c
A Study on the Priority to Activate Joint Logistics Centers for Online Delivery in the Post-corona Era

Purpose : This study investigates the priority of Joint Logistics Center for online delivery at the time when online-oriented consumption was accelerated starting with Corona 19 Research design, data, methodology : The paper uses AHP techniqu. In this study, 5 factors (institutional support, enterprise characteristics operational characteristics, communication and Information Systems) and 20 sub-factors for activation e Results : Among the five top factors, priority was identified in the order of operational characteristics, enterprise characteristics, information systems, communication, and institutional support. In the overall Priority, sub-factors such as securing the latest logistics facilities, service development efforts required by participating companies, flexible operation in consideration of product characteristics, sufficient understanding of the logistics of participating companies, and contract implementation considering the characteristics of participating companies were found to be the top 5 sub-factors. Conclusions : This study is meaningful in that it suggests the priority for using the Joint Logistics Center, which is necessary for online-based operators and companies to secure competitiveness of the logistics of their companies.