Reviewerly/exHarmony huggingface dataset:
Image Inpaint Using Patch Sparsity

The process of removing the specific object or area or repairing the damaged area in an image is known as image inpainting. This algorithm [5] is proposed for removing objects from digital image. The challenge is to fill in the hole that is left behind in a visually plausible way. We first note that patch sparsity based synthesis contains the essential process required to replicate both texture and structure [8]; the success of structure propagation however is highly dependent on the order in which the filling proceeds. We propose a best algorithm in which the confidence in the synthesized pixel values is propagated in a manner similar to the propagation of information in inpainting.The actual color values are computed using patch sparsity based synthesis. In this paper the simultaneous propagation of texture and structure information [2] is achieved by a single, efficient algorithm. For best results selected image should have sufficient background information
QBO is wavenumber=0

It would be useful to remind the reader that the QBO has a wavenumber=0, and therefore is distinct from off-equatorial effects.As with the upper stratospheric Semi-Annual Oscillation (SAO) which is clearly tidally forced by the solar semi-annual cycle, the QBO is forced by the group-symmetrical draconic/nodal lunar tide of 27.2122 days interacting with the annual signal.Only nodal tidal patterns are allowed for a wavenumber=0 standing wave.
Architecting Information Acquisition to Satisfy Competing Goals

There has been a slow and persistent progression of data acquisition (sensor) systems from isolated, independent, and single-purpose sensors to federated, networked, integrated, multi-modal, and agile sensors with which to provide data for situation assessment (SA). Associated with this progression is the inexorable increase in the quantity, quality, and diversity of data which these systems provide. In order to provide a minimal uncertainty, mission-valued situation assessment on which decision makers can order their choices it was necessary to design a sensor/information-source system architecture based on a new application of information theory and take a system of systems (SoS) approach. The resulting Information-Based Sensor/source Management system (IBSM) is predicated on viewing sensors (including data/information sources) as communications channels between the real world and a probabilistic model of the world. In this context, information is measured by the expected decrease in uncertainty in our situation assessment probabilistic model as weighted by its mission value and the time it takes to acquire the information. This paper briefly introduces IBSM, the functions of the partitioned model, and the goal lattice which effectively combines competing, independent, orthogonal, and dependent goals into a mission value with which to value competing sensor functions. It is also shown how machine learning can be applied to assist the internal operations of the human-on-the-loop (HOL) system as well as to provide the situation awareness of potential adversary behaviors.
Wavelet Transforms Based Fall Detection with Neuro-Fuzzy Systems Based Feature Selection

This study proposes a method to detect fall with minimum features selected by a non-overlap area distribution measurement (NADM) method. In preprocessing step, wavelet transforms were carried out to extract wavelet coefficients from dataset acquired by subjects. The NADM was used to select the minimum number of features from wavelet coefficients, and then 19 features were finally selected from the 33 features. The performance result of the fall detection was tested with 19 features, and then the sensitivity, accuracy, and specificity were shown to be 95%, 96.13%, and 97.25%, respectively.
Comments on &amp;quot;Communicating Complex Forecast for Enhanced Early Warning in Nepal&amp;quot;

The article 'Communication Complex Forecast for Enhanced Early Warning in Nepal' provides a comprehensive overview of existing Early Warning Systems for extreme rain and related flooding events in Nepal.The article is an interesting publication that not only describes currently applied decision making routines, but also aims towards recommendations for future developments.The authors conducted a survey amongst various stakeholder groups to gain a better understanding about the workflow and possible obstacles in respect to the efficiency of early warning.A special focus of the publication is laid upon extending the time window for early warning by using modern forecast and observation routines as well as on the communication of complex data and forecast results.The authors also highlight the problem of communicating uncer-
Video Coding of Various Decomposition with Encoding Techniques

In a period of past ten years, Compression or coding of video has been elaborated as a vital role in the part of total communication. Multi resolutions techniques play a vital part in the coding of image and video. Wavelet and curve let transform are one of the popular and efficient technique in video coding. In my paper, I am operate to implement various coding based methods with (EWT)empirical wavelet transform, different wavelets ,curvelets with various encoding techniques. They are video coding with EWT and H.264(VEWH), video coding with EWT and LZW(VEWL), video coding with EWT and Huffman with SPIHT(VEWHS), video coding with mexican hat wavelet transform and SPIHT(VMWS), video coding with dual tree wavelet and SPIHT(VDTS), video coding with 3D dual tree wavelet transform and SPIHT(V3DTS), video coding with curvelet transform and SPIHT(VCTS) and video coding with dual tree complex wavelet fractional transform and modified SPIHT(VDTCWFS). Next we implement these methods with the assist of matlab 2014 and 2015, and then analyze these techniques by using PSNR and compression ratio
Nonclassical Atomic System Dynamics Time-dependently Interacts With Finite Entangled Pair Coherent Parametric Converter Cavity Fields

Abstract We consider a time-dependent model that describes a qubit time-dependently interacts with a cavity containing finite entangled pair coherent parametric converter fields. The dynamics of some quantum phenomena, as: phase space information, quantum entanglement and squeezing, are explored by atomic Husimi function, atomic Wehrl entropy, variance, and entropy squeezing. The influences of the unitary qubit-cavity interaction, the difference between the two-mode photon numbers, the initial atomic coherence, and the time-dependent qubit location are investigated. It is found that the regularity, the amplitudes and the frequency of the quantum phenomena can be controlled by the physical parameters. For the initial atomic pure state, the qubit-cavity entanglement, the qubit phase space information, and atomic squeezing can be generated strongly compared to those of the initial atomic mixed state. The time-dependent location parameters enhance the generated quantum phenomena, and its effect can be enhanced by the parameters of the two-mode photon numbers and the initial atomic coherence.
Introduction to the Minitrack on Data Analytics, Data Mining and Machine Learning for Social Media

Transforming data from social media into useful information, or knowledge, is the focus of this minitrack.The papers at HICSS in 2020 remind our attendees and readers of the many applications of data analytics, data mining, and machine learning to social media.At the fifty-second HICSS, for example, one paper showed how itinerary recommendations for distributed events (e.g., festivals, conferences, and conventions) might be improved by using publically-available social media about the event combined with other published information (e.g., points of interest and schedules).In 2018, this minitrack explored how text mining and sentiment analysis of messages and threads could be used to determine the level of expertise of cybersecurity hackers participating in online forums, and also gave voice to many other fascinating research topics.
Improving students' ability in writing narrative text through Mind Mapping technique at the first grade of SMAN 15 Bandarlampung

The objectives of this research were to find out whether there is an improvement of the students’ ability in writing narrative text after the implementation of mind mapping technique and to find out the students’ perceptions toward the implementation of mind mapping technique. The approach of the research was quantitative. The subjects were 32 students of class X IPA 4 at SMAN 15 Bandar Lampung in 2019/2020 academic year. Writing tests and questionnaires were used to collect the data. The students’ writing scores were compared between the pre-test and the post-test by using Paired Sample T-test with the significant level 0.05. The students’ perceptions toward the implementation of mind mapping technique were (r = 0.801) since r &gt;.60. The result of the research showed that there was an improvement of the students’ ability in writing narrative text from the pre-test (65.75) to the post-test (79.22). It can be seen from the students’ mean score after the implementation of mind mapping technique improved at 13.47. Furthermore, the result of questionnaires showed that most students (84.4%) gave positive perceptions toward the implementation of mind mapping technique in writing narrative text. This suggests that mind mapping technique can be used as a strategy to improve the students’ writing ability.
Virtual Reality Cinemas: The Challenges of an Individual Medium

Virtual reality can be used to tell stories in ways that humans have never before experienced. Why doesnât the display of virtual reality content reflect itâs immersive nature? Could the development of a spatial design and entrance/exit protocols allow for people to have more enticing experiences with this evolving medium? This MRP explores the reasons that have held back growth for virtual reality narrative experiences and displays. Through research, by observation of public virtual reality spaces and interviews of the operators of virtual reality experience centres, I have explored various sets of best practices. I culled together the best practices from each resource to create a physical virtual reality cinema where I could test and refine my findings.
PKM Peningkatan Minat Belajar Bahasa Inggris Siswa TK-IT Fajar Mannuruki Berbasis Buku Bergambar Serta Peningkatan Softskill Remaja Mesjid Nurul Ilham Kabupaten Maros

In this community service with the title "PKM Increased interest in learning English based on picture books as well as increasing the softskill of adolescent around Mosque of Nurul Ilham in the teaching and learning process in partners (TK), Fajar TK-IT manuruki, Simbang district, of Maros and English language training and welding training for increasing teenage softskill in Nurul Ilham Mosque in Simbang sub-district, Maros. The specific purpose of this service is to develop, increase interest in learning and improve the quality of English and welding (soft skills). Some of the methods used in community service (PPM) are the question and answer method and discussion to find out the general knowledge of students on picture books and supporting technology, the lecture method is used when presenting materials in the form of theoretical knowledge and understanding of the device software and hardware that are used along with maintenance that can be done. The demonstration method is used to provide and demonstrate the steps in making a game application. This method of simulation method is used to show the results of a game application and the success of the functions or features of the application that have been implemented. The first target to be achieved in community service (PPM) is 18 kindergarten students, educators are able to create fun and interesting teaching and learning activities based on the ability to organize the concept of stories (stories, stories and material) and methods into game forms. which is gradual or not by manipulating the sounds, images, object colors and text that exist in the autoplay application with considerations that are in accordance with the growth and physical development of early childhood. 18 educators are able to apply the method of playing and learning, the wajud is to create applications and implement games based on technology specifications and operating system frameworks. Game has object images, sound objects, labels and objects, can be moved and have stages or endings. The design of the game from the writing color, the color image of the object, background, sound or animation was designed. The second target was 26 members of the adolescent mosque nurul ilham with English softskill training and welding training that were expected to improve language skills and weld skills so they could be independent by opening bengkellas business. or working in a welding workshop and being able to compete in the era of the global market with the ability that English has.Keywords: Interest in Learning, Picture Books and Soft Skill
PELATIHAN BLENDED LEARNING PADA GURU SMA KATOLIK 1 KABANJAHE

Objectives of this Community Services are 1) give knowledge and practical experience to teacher of SMA Katolik 1 Kabanjahe focusing in blended learning model. 2) Teachers can use Moodle as e-learning technology. This services in systematic mode starts from the initial discussion with principal and teacher about blended learning, collect the re-sults of the initial questionnaire, and then give an assignment to the teachers about is-suing a course, managed quizzes and taking exam. The result shows that 1) Teacher in SMA Katolik 1 Kabanjahe have high enthusiasm to follow instruction given by instruc-tor to learn about moodle. 2) As result teacher know how to operate elearning with moodle software start from register a course, and managed content in moodle.
Memprediksi Harga Komoditas Cabe Menggunakan Metode Backpropagation di Wilayah Kota Payakumbuh

Chili is one of the spices needed by the majority of Indonesian people. These high needs have an impact on the price of this agricultural commodity which has become very fluctuated. This study, uses the backpropagation method to predict chilli prices in Payakumbuh City, with data sourced from the Badan Pusat Statistik Kota Payakumbuh. The data format are weekly chilli price data for the period 2014 to 2019. Data variables are arranged into time series forms with 4 input values from each week per year, and 1 target value. From the test results obtained the MSE value (Mean Squared Error) of 0.00118 with prediction accuracy of 98.56%. The results of this study can prove that Artificial Neural Networks using the backpropagation method can predict commodity prices for chilli in Payakumbuh City with a good level of accuracy, so that it can be used for the following year.
OUTDOOR LEARNING WITH MOBILE TECHNOLOGY: A SYSTEMATIC REVIEW

In outdoor learning with mobile technology, students use mobile technology for learning in an outdoor setting, for example in a park or a garden.To understand how mobile technology has been used in outdoor learning, a systematic review was carried out.A number of reviews on mobile learning and on specific sub-areas of mobile learning, such as language learning or computer education have been published in scientific journals and at conferences.So far, however, no systematic review has focused on outdoor learning with mobile technology.To guide the review the following research questions were posed: "Which are the educational subjects and educational levels in outdoor learning with mobile technology?" and "What types of technologies for positioning or navigation, augmentation, and methods for data collection and annotation are used in outdoor learning with mobile technology?".In total 87 articles, published between 2004 and 2019 were included in this review.Conclusions were that biology was the most common subject, primary or elementary school the most common educational levels, GPS was the major technology used for positioning and navigation, AR was the most common technology used for augmenting the outdoor learning environment, and taking photos and taking notes were the most common methods for data collection in outdoor learning with mobile technology.Building on the conclusions of this review and on previous reviews, suggestions are made for future research.
Constructing Model for Forecasting the Production using the Classification Technique in Data Mining for the District of Tamil Nadu

Data mining plays an essential role in the cropproduction. It is a major field for forecasting and analyzing the crop. The vital role of the cultivator is to know about the production of the crop. In the years before, forecasting was carried out by taking into account the cultivator’s previous experience on the selected area. The forecasting was the important criteria which should be solved by considering the data on hand. By using Data mining method, the enhanced selection can be done. Various Data Mining methods have been used for calculating the upcoming year's production. This investigation helps to recommend a model for forecasting the yield from the earlier data. For accomplishing and forecasting the yield association rule mining in data mining has been used. This helps to focus on implementing a system which may be used for forecasting the yield in the upcoming years. This research aims at presenting a detailed study by forecasting the yield using association rules in data mining technique for the chosen area in India. The results haveshown that the anticipated work done is working well in order to predict the production of the yield.
ANALISIS GAYA SELINGKUNG ARTIKEL ILMIAH TERBITAN PERGURUAN TINGGI DI INDONESIA

AbstractScientific articles always presents a result of the activities of a research on a subject matter based on data and facts in the field. The style of writing scientific articles published in scientific journals has an important role in the assessment of an article. This study aimed to describe whether the form of writing scientific articles style in scientific journal published by Indonesian universities. This research is a qualitative descriptive research. The results of this study indicated that the scientific article published in Indonesian scientific journal has various style and structure. The journal published university used as a reference to and an example of writing journal by people will wrote articles scientific.
Discovering the Bitcoin Double Spend using Lost Agreement Amount

In the modernized world like digital world, traditional way of payments through banks and other third parties are out of sphere. To meet the digital competency digital token like bitcoin based crypto currency payment is required. Lots of business persons are moving towards the digital way of secure payment. Intruders like hackers hamper the digital token and make immortality in the transaction which in turn create the double spend. Double spend is a serious threat in the Bitcoin network. Our research work focuses on double spend detection of transaction before it gets confirmed and added to the block by the miners. The proposed new architecture for detecting double spend using Dual Payout based on Lost Agreement Amount (DPL2A) will identify one of the ways that double spend attack occur before it is added to the blockchain. This architecture gives the clear identification of double spend attack and their full details of transaction occurrence so that when it is broadcasted into the peer-to-peer network, the network nodes will use this architecture to detect double spend, its occurrence is fully prevented and only the genuine transaction will be added to the blockchain.
Application of Deep Learning-Based Neural Networks Using Theoretical Seismograms as Training Data for Locating Earthquakes in the Hakone Volcanic Region, Japan

Abstract In the present study, we propose a new approach for determining earthquake hypocentral parameters. This approach integrates computed theoretical seismograms and deep machine learning. The theoretical seismograms are generated through a realistic three-dimensional Earth model, and are then used to create spatial images of seismic wave propagation at the Earth’s surface. These snapshots are subsequently utilized as a training dataset for a convolutional neural network. Neural networks for determining hypocentral parameters such as the epicenter, depth, occurrence time, and magnitude are established using the temporal evolution of the snapshots. These networks are applied to seismograms from the seismic observation network in the Hakone volcanic region in Japan to demonstrate the suitability of the proposed approach for locating earthquakes. We demonstrate that the determination accuracy of hypocentral parameters can be improved by including theoretical seismograms for different earthquake locations and sizes, in the learning dataset for the deep machine learning. Using the proposed method, the hypocentral parameters are automatically determined within seconds after detecting an event. This method can potentially serve in monitoring earthquake activity in active volcanic areas such as the Hakone region.
صحافة الذكاء الاصطناعي داخل غرف الأخبار في المؤسسات الصحفية ودورها في تطوير بيئة العمل الصحفي

This study revolved around artificial intelligence journalism within newsrooms in press institutions and its role in developing the journalistic work environment. The study also found that the biggest threat to artificial intelligence to journalism is the possibility of many journalists losing their jobs, which made journalists fear their job instability in light of artificial intelligence journalism. In addition, it has some obstacles that it cannot interact with readers; enough, and that AI journalism still needs significant development in order to be able to express the depth, richness, and complexity that characterizes human intelligence. Keywords: artificial intelligence journalism, Newsrooms, Development of the journalistic work environment.
Vocabulary

This vocabulary is inspired by ”A Short List of Gilbert Simondon’s Vocabulary” on the blog Fractalontology, but for the most part based on the article and interviews in this issue of Sensorium Journal. For more concepts, see: &#x0D; Fractalontology.wordpress.com.
Minimalism

The static sounds of popular music, especially rock <bold>&lt;ap&gt;</bold>‘n’ roll, influenced a new generation of composers. Rejecting both classical and contemporary formal procedures in composition, minimalist composers created new works whose structures became apparent to the listener as the music slowly unfolded. Beginning with La Monte Young, the master of the drone, a few composers began to simplify their art in an effort to connect to the listening public. The percussion music presented herein exhibits many of the traits that define minimalism: the constant repetitive pulse, reduced forces, slowly changing rhythmic modules, and canonic constructs. A brief look at Terry Riley’s iconic work, <underline>In C</underline>, leads to an in-depth examination of composer Steve Reich’s most popular minimalist work, <underline>Drumming</underline>. In it, the listener can hear the slowly unfolding structure of the work as well as the psychoacoustic phenomena caused by the interaction of rhythmic and tonal patterns. The chapter concludes with an examination of works by the Danish composer and theorist Per Nørgård and the American composer James Tenney.