Reviewerly/exHarmony huggingface dataset:
USING INDEX AND CUMULATIVE OVERLAY ANALYSES TO DETERMINE GEOTHERMAL POTENTIAL TARGETS IN DAMAVAND REGION

Abstract. The Damavand region is located in the north of Iran and north-eastern of Tehran. In the present study, geothermal favorability map in this region has been prepared using two methods of data integration in the geographic information system (GIS) environment. The purpose of this study is to introduce the areas with high potential of geothermal field in Damavand region for subsequent exploratory program. For this purpose, at first, necessary information layers identified and studied and then were processed. The 13 layers were identified and collected and integration with two cumulative and weighted index overlay methods and compared. After a survey of experts, the weights used in the weighted index overlay method were obtained from the Fuzzy /Ahp method. In the result of cumulative overlay method, south and southeast of Damavand volcano are favorable area for geothermal field but the result of the weighted index overlay method indicates the high potential of the southeastern region of Damavand. Comparing the results with gradient and thermal flux from drilling by the ENEL Italian Company, indicate the accuracy and precision of the obtained results.
Connecting Humans with Humans: Multimodal, Multilingual, Multiparty Mediation

Behind much of my research work over 4 decades has been the simple observation that people like people and love interacting with other people more than they like interacting with machines. Technologies that truly support such social desires are more likely to be adopted broadly. Consider email, texting, chat rooms, social media, video conferencing, the internet, speech translation, even videogames with a social element (e.g., Fortnite): we enjoy the technology whenever it brings us closer to our fellow humans, instead of imposing attention-grabbing clutter. If so, how then can we build better technologies that improve, encourage, support human-human interaction? In this talk, I will recount my own story along this journey. When I began, building technologies for the human-human experience, presented formidable challenges: Computer interfaces would need to anticipate and understand the way humans interact, but in 1976, a typical computer had only two instructions to interact with humans: character-in & character-out, and both only supported human-computer interaction. Over the decades that followed, we began to develop interfaces that can process the various modalities of human communication and we built systems that used several modalities in services to improve human-human interaction. These included:
Sharing Android Camera to an HTTP Server

In the previous two chapters, we prepared the Kivy environment for developing desktop applications. After making sure everything was working as expected, we installed Buildozer to build the Android applications. The first application we created in the book was very simple; a single label widget displayed some text. After that, more widgets were added to the application using layouts. The button press action was handled using on_press. A nested widget tree was created, which made debugging much more complicated. For that reason, the KV language was introduced for structuring the widget tree and separating the GUI from the Python logic.
Modern Trends in Educations for Effective Learning in Electronics Engineering using Augmented Reality

Since ancient times, the knowledge acquired by people of that times was passed on from one generation to another and is reflected even in the teachings of today. The term 'education' has been depicted by different people in different ways. Some people refer to it as formal schooling or too lifelong process of learning. Some others refer to it as redemption, of knowledge, skills and attitudes. Accordingly to modern thinking education is said to be nothing, but training of people's mind in a particular direction to bring. Electronics engineering includes more imaginary and logical thinking that includes basic working and concepts of about desired changes that can give desire output. Our brain is considered to be most powerful 3D supercomputer in the world. Brain stores and processes data in 3D form. Our brain processes 2D data seen by eyes and process it into a 3D form for its understanding it. This trick is used by memory artists to remember a sequence of numbers or objects by placing related images or objects along a room or street. What if we could have provided a 3D image to brain directly that could help humans to learn and remember things and complex concepts in easier quicker and faster way? This was not possible up to last few decades but now it is possible using a new technology called (Augmented reality) AR technology. This technology taps our 3D supercomputer that makes us understand most in effective way. Our project is based on using such an interactive technology for learning in Electronics Engineering components. We use this AR technology for clearing theoretical and practical concepts in electronics that helps in easy, effortless and conceptual learnings.
Statistical Test in Pattern Recognition

Given the few experimental sample observations, we are interested in testing whether they are the outcomes of the random variable X that follows the typical distribution function. For instance, if we observe the percentage of success obtained by the typical constructed classifier by performing repeated experiments. We would like to know whether they are the outcomes of the random variable X (Gaussian distributed) with mean (average mark) greater than the typical value μ (say). This is needed to conclude the statement “The average POS obtained using the constructed classifier exceeds μ with the identified confident level.” The confident level is obtained using statistical mean test. Similarly, the statistical mean tests are needed to show the statistical evidence to claim the better performance of the proposed classifier. Statistical variance tests are also used to test the consistence of the performance of the typical classifier. The performance of the k classifiers is tested with multiple data sets. We need to check whether the performance of the classifier depends upon the data set chosen. Suppose we collect the features from the data and are subjected to classification. We would like to know which feature is more responsible for classification. This is done using ANOVA test (analysis of variance test). These are known as feature selection technique. In place of mean test, median test is performed using signed rank values. This chapter gives the introduction about how to perform the basic statistical test like mean test, variance test, Proportion test, ANOVA, Wilcoxon/Mann–Whitney test, and Kruskal–Wallis test.
Penerapan Metode Fuzzy Mamdani Untuk Menentukan Stok Produk Herbal Berdasarkan Permintaan dan Penjualan

Sales is one of the activities undertaken by many people as a promising business field. Prediction of the number of items to be sold must be in accordance with stock at the store so that demand and sales can be fulfilled. Therefore, we need a system to find out the amount of stock of herbal products so they do not experience problems in determining stock in each month. By using the Fuzzy Mamdani method as an algorithm for solving the problem, and the criteria are changed in the form of weighting so that the system can do calculations that provide the speed of information in the form of a computerized system. The results of this study aim to apply the Mamdani fuzzy logic method in predicting the amount of herbal product stock based on sales data and the number of requests. Provides results in the form of information printed in a report containing order data for the number of subsequent stock orders
Quantum Computing-Applications in Bioinformatics

Quantum computing is a promising field that emerged out of a combination of quantum physics and computer science.With ever expanding data across different areas, the conventional computer will run out of its capacity to handle such big data.Further, extracting the meaningful from big complex data still, accompany challenges with it.Quantum computing main goal is to provide such algorithms which are robust and faster in solving problems as compared to classical computers.In this paper, the limitations of a classical computer, basic features of quantum computing and its applications in the bioinformatics have been explored.
Frequency-Domain Linear Interferometer with Spectrally Shaped Photons

Beam splitters and phase shifters compose linear photonic circuits and are the most fundamental elements in photon-based quantum information processing. While integration of these linear components on a chip for spatial modes has been dramatically developed in recent years [1], there is another approach for integrated quantum circuits : wavelength division multiplexing (WDM). The degrees of freedom of light allow photons exhibiting different wavelengths to exist independently in the same space, therefore using such characteristics can allow further integrating of photons and modes in a small space.
Metode mikrokoloni (slide culture) sebagai metode diagnostic alternative yang lebih cepat untuk diagnosis tuberculosis paru

Despite wide distribution of pulmonary tuberculosis in Indonesia, its diagnosis is still an important issue to be dealt with. Fourty seven sputums from pulmonary tuberculosis patients in Surabaya were examined to detect Mycobacterium tuberculosis using three methods, i.e. the acidfast stain Ziehl Neelsen, microcolony (slide culture) and Lowenstein Jensen. Sputums were collected spontaneously from the patients. All of them were decontaminated and centrifuged. After the supernatant fluids were carefully decanted, the sediments were resuspended in 1 ml of 10 mMphosphate buffer (pH 7.4) and the suspensions were then inoculated on to two 76 x 13 mm glass microscope slides. One of them was stained by Ziehl Neelsen method and the other was inoculated into microcolony media for seven days and the waste suspension was inoculated into LowensteinJensen media. The results of the microcolony method analysis were compared with the Ziehl Neelsen staining. Employing McNemar test, a significant difference was observed between the microcolony method and the Ziehl Neelsen staining (?² = 5,88). The sensitivity and spesificity ofmicrocolony were 100% and 89% while the Ziehl Neelsen were 60% and 84% respectively. In conclusions microcolony method was better compared with the Ziehl Neelsen staining in the detection of Mycobacterium tuberculosis. Microcolony method was able to reduce time required todetect Mycobacterium tuberculosis in patient suspected with pulmonary tuberculosis.
Matchcut Assist: A Mobile System to Automate Matchcut Process Using Computer Vision

In film industry, camera angle and smooth transition between shots are very important and time-consuming manual process. Match Cut is most frequently used technique in this industry to achieve seamless transition. This paper proposes an app that offers solution to assist match cut technique using edge detection algorithm on mobile device. Users can use the app to take two different shots which can be used to match cut in future. It is helpful to take different shots without manual efforts and heavy equipment.
High-speed three-dimensional shape measurement based on robust Gray-code coding strategies

The measuring technique combining phase-shifting algorithm and Gray-code light has been widely used in threedimensional (3D) shape measurement for static scenes owing to its high robustness and anti-noise ability. However, it is challenging for this method to realize a high-speed shape measurement using fewer patterns. Because of the object motion and the defocus of the projector, phase unwrapping errors occur easily on the boundaries of adjacent Gray-code words. In existing methods, median filtering or extra patterns projecting were used to overcome this challenge. In this paper, two robust Gray-code coding strategies have been proposed for the same purpose. By recoding the traditional Gray codes in temporal and spatial domains respectively, cyclic complementary Gray-code (CCGC) patterns and shifting Gray-code (SGC) patterns are designed. Both of these two coding strategies can obtain two sets of decoding words whose boundaries are stagger for one wrapped phase. To avoid using the decoding words on the edge, different decoding codes are used depending on the range of phase value. So the robust and simple phase unwrapping can be achieved without projecting extra patterns. High-quality 3D results of multiple randomly moving objects with sharp edges verified the proposed methods’ feasibility and validity
Tourism Technology and Marketing in Jordan

Tourism promotion aims to solve the problem of lack of information among tourists about services and prices And how to get them to provide a positive situation through which the tourist accepts the services provided by the The study found that the availability of technological tools in the provision of information on tourism services and the availability of technological tools in tourist facilities and hotels to facilitate access to information.The study recommended supplying the establishments working in the tourism sector with all technological tools and making courses to familiarize the employees working in the tourist establishments to introduce them to the latest technological tools. Keywords: Tourism, Technology, Marketing DOI : 10.7176/IKM/9-8-02 Publication date :September 30 th 2019
SQL Server Data Virtualization

Data Virtualization is one of the most exciting capabilities we are delivering with SQL Server 2019. In this chapter, you will learn more data virtualization the capability in SQL Server 2019 that makes it possible called Polybase. This chapter, along with Chapters 6 , 7 , and 8 , provides the foundation to learn about SQL Server Big Data Clusters in Chapter 10 .
The Influence Of English Song As Learning Materials Towards The Studentsâ€™ Pronunciation

This research investigated whether or not there is the influence of English song towards the studentâ€™s pronunciation. This research used a quantitative method. Research design is an experimental class and control class, two classes were selected from eleventh-grade students at SMAN 1 Ciasem Subang. The Quasi-Experimental Research was conducted in four meetings. The data were obtained by observing the teaching and learning process, test, questionnaire, and interviewing the students. The research result of the analysis quantitative and qualitative data were as follows. The analysis of quantitative data, mean score of pre-test in the experimental class was 14.44. While the mean score in the control class was 14.58. Furthermore, the mean score of the post-test in the experimental class was 82.98. While the mean score post-test in the control class was 60.56. Based on the result, the experimental class studentsâ€™ score on post-test were better in which the mean = 82.89 than their scores on pre-test the mean = 60.56 . in addition, the two-tailed value of p was 0.000 which was lower than 0.05 . in conclusion, the calculation of paired t-test showed that there was a significant difference between the pre-test and post-test scores of experimental group. The analysis of qualitative data show that used English song influence through studentsâ€™ pronunciation by observing the teaching and learning process, test, questionnaire, and interviewing the students. The students were more confident and were not afraid of making mistakes when pronunciation.
Plotshop

We introduce an interactive system to design 2D data sets on a scatter plot. 2D data sets are often used to obtain an intuition about the behavior of machine learning techniques or statistical modeling techniques . A traditional method for creating a data set is to use textural commands, such as generating a normal distribution with specific parameters. However, it is difficult to create an arbitrary data distribution from scratch or to edit an existing one using these methods. We therefore developed an interactive system for creating and editing a 2D data distribution on a scatter plot by using a graphics user interface. It also allows the user to observe the response of a data analysis method while the user is editing a distribution. We show that the proposed interface is effective for understanding characteristics of data analysis methods.
Stakeholder a Developer Communication Powered by Product Owners

The purpose of this study is to investigate the challenges and opportunities in the communication between software developers and their stakeholders, as well as the impact that the product owners h ...
Evaluation Of Application Of Web Bases Budget Realization Report Seen From Human Computers Interaction Perspective

The preparation of Budget realization report is a routine activity that must be done in the Department of Cominfo and Statistics. The use of budget realization applications has been implemented but there has been no evaluation of the application so that researchers evaluated the application with the purpose of improving the application in the future. The method used to evaluate is TAM, with the results of the research that the application of the budget Realization report on the basis is good but there are some things that need to be done application development in the ease of use and meaning of Symbols that exist in the system thus improving the quality of the system, the quality of information and service quality thereby affecting the use of a good budget realization application
Algorithm for Detection of Phishing URL and Web Scraping

The main aim of this study is to reduce electricity wastage and manpower that is required to switch highway lights ON and OFF.Highway lights are one of the most important part of the modern society as they facilitate better vision at nights while driving and provide safety on roads.Highway lights, however, consume a lot of electricity.This study proposes a system that would reduce electricity wastage with the help of embedded technology that would control the highway lights based on the sunlight and motion on the road.With the help of Light Dependent Register (LDR) sensor, day or night can be detected.When night is detected by the LDR the lights on the highway would autonomously turn ON and when day is detected it would turn OFF automatically.The lights would be at 30% intensity when it is turned ON and as soon as it detects motion on road with the help of ultrasonic sensor it would increase the intensity to 100% and when the ultrasonic sensor doesn't detect anyone on the highway the light intensity would go back to 30%.In addition, to this current sensor data is collected and stored in the database as it can be used to detect if the highway light is working or not.The system is reliable and cost-efficient as all the equipment used are less costly and available easily.
Joint Topological and Polarization Entanglement Enables Noise-Resistant Optical Information Processing

Directionally-unbiased multiports and topological states. The goal is to entangle states associated with distinct topological sectors, and to do so in a way that allows this entangled topology to be readily available for information processing and detection. Specifically, linear optics will be used to produce: (i) winding-number-entangled bulk states, and (ii) an entangled pair of error-protected memory registers. To create the states, a source of initial polarization-entangled light is necessary, specifically type-II spontaneous parametric down conversion (SPDC) in a nonlinear crystal. All further processing requires only linear optical elements. Topological invariants characterize global properties of systems and cannot be easily distinguished by localized measurements. This difficulty in measurement traditionally limits their use in many applications. That problem is solved here by linking topology to a more easily-measured variable, polarization. Polarization and winding number will be tightly correlated (and in fact, jointly entangled with each other), but will serve distinct purposes: winding number provides stability against perturbations, while polarization allows easy access and measurement.
IMPROVING STUDENTS’ SPEAKING SKILLS BY USING VIDEO CLIPSFOR SEVENTH GRADE STUDENTS’ OF SMP N 02 JOGONALANKLATEN IN ACADEMIC YEAR 2018/2019

The aim of this research was to improve the speaking ability of grade VII Cstudents at SMP N 02 Jogonalan, Klaten, in the academic year of 2018/2019 byusing video clips.This research was classified into action research which was conducted intwo cycles with two meetings in each cycles. The main subjects of this researchwere 32 students of class VII C at SMP N 02 Jogonalan, Klaten. The researchprocedure was reconnaissance, planning, action, and reflection. The data obtainedwere qualitative and quantitative. The qualitative data were gained from theobservation and the interviews with both the English teacher and the students. Thedata were obtained into field notes and interview transcripts. Meanwhile, thequantitative data were gained from the speaking tests that were conducted from pretest and post-test in every cycle. The action implemented in this researh wereimplementing the use of video clips, giving more explanation related togrammatical rules, pronouncing word corretly, and providing activities that enablethe students to enrich their vocabulary, preparing worksheets for the students, andmaking use of the LCD projector optimally.The results of the research show that implementation of the video clips inthe English teaching and learning process improve the students speaking skills.From the expressions used in the video clips, the students could pronounce wordcorrectly and get a new vocabulary. They could perform confidently, more bravely,and not nervous during the speaking process. Moreover, their motivation and theiranthusiasm in English learning also improved. Furthermore, after comparing thescores of post-test 1 and pos-test 2, there was an increase from 61,67 to 79,59.
Experimental Witness of Genuine Multiphoton Indistinguishability

Multiphoton interference represents one of the key features in photonic platforms for quantum communication, quantum simulation, quantum computing and quantum sensing. Starting from the first two-photon experiment by Hong-Ou-Mandel [1], it has been shown that multiphoton interference lies at the heart of computational complexity in linear optical interferometers, the most notable example being provided by the Boson Sampling model [2]. This model corresponds to sampling from the evolution of n indistinguishable photons in a multimode linear network, and has been shown to be hard to simulate classicaly thus representing a promising route to experimentally reach the quantum advantage regime. It has been shown, however, that genuine multiparticle interference is necessary for high computational complexity. Hence, appropriate methods for detection of such feature should be developed since the complexity of problem prevents the application of trivial methods.
Edge Enhancing Accelerated Diffusion Model for Speckle Denoising in Medical Imagery

Speckle noise occurs in a wide range of medical images due to sampling and digital degradation. Removing speckle noise from medical images is the key for further automated processing techniques like segmentation, and can help the clinicians with better diagnosis and therapy. We consider partial differential equation (PDE)-based denoising model which is a modified Euler-Lagrange equation derived from the total variation minimization functional with additional speckle noise constraints. The new PDE model is designed and optimized to rectify speckle noise and enhance edges present in medical imagery. Wealso develop the efficicient and stable discretization techniques for the corresponding speckle denoising model. The method is tested for several types of images including ultrasound images, and it is compared favorably to the conventional denoising model.