Reviewerly/exHarmony huggingface dataset:
Solar energy available and energy generated in photovoltaic systems in different inclinations and orientations of roofs of buildings

This work aimed to determine the solar energy available in different inclinations and orientations of roofs of buildings in the four seasons, using data of Global Solar Irradiation in the horizontal plane, temperatures, and wind speed. The inclined hourly solar irradiation and the energy generated by photovoltaic systems of different capacities installed in Cascavel-PR were simulated, with different orientations and inclinations and types of roofs (ceramic, fiber cement and metal). SWERA (Solar and Wind Energy Resource Assessment) daily global solar irradiation and wind velocity data were used to simulate daily inclined global solar irradiation in PVSyst software. Thus, also with the help of the software, the energy generated by photovoltaic systems of different capacities installed in Cascavel - PR, with different orientations and inclinations of roofs was determined. Consequently, the levels of losses in different seasons of the year were calculated and an analysis of the economic viability of the undertakings was made. Thus, the losses, profits and income of the systems were compared. Solar panels installed in northern oriented ceramic roofs provide better energy production performance throughout the year compared to metallic roofs and fibrocement. However, for the other orientations (South, East and West), the losses for ceramic roofs were twice as high as the metallic and fibrocement roofs in relation to their respective northern orientated slopes. Regarding orientation, roofs oriented to the North receive more Irradiation annually and therefore produce more energy. Then there is East, West and South as the most unfavorable condition.
Development of a virtual reality simulation for exposure based addiction therapy

Abstract After the success of virtual reality (VR) applications in supporting exposure-based and psychoeducational cognitive behavioural therapy for various mental illnesses, the technology is also gaining traction in addiction medicine. This paper will describe the concept behind a custom-developed VR simulation for this application with a particular emphasis on alcohol-related addictive disorders. Using Unreal Engine 4, an exposure simulation and a scenario for learning and applying coping strategies were developed for the Oculus Quest. Because of the common association of supermarkets with the procurement of alcohol among addicts, a small shop was implemented as initial scenario. Since the feeling of presence is an important parameter in the quality assessment of a simulation, the degree of immersion was evaluated in initial practical tests after development. In surveys with ten healthy testers, the majority showed a feeling of immersion. Cybersickness and unrealistic collision physics were identified as disruptive factors to the extent of immersion. This work provides the basis for a novel concept for addiction therapy which focusses on a fusion of playful psychoeducation, adjustable exposure, and the internalization of coping strategies with the help of multisensory biofeedback as well as the documentation of the objective physiological measurements for assessment of therapy success. The aim is to best possible address the specific requirements for clinical and home use in terms of self-containment, immersion, and ease of use. To evaluate and exploit the scientific potential of this concept scientific studies and technical improvements to both simulation and hardware are required.
THE ROLE OF INFORMATION TECHNOLOGY IN ONLINE LEARNING DURING THE COVID-19 PANDEMIC OF UPT SDN 1 MARGAKAYA

AbstractCovid-19 Pandemic was greaty impact on education in Indonesia. The learning process which was performed at the school but now learning do from home with online learning. Using of information technology is very helpful on learning process in the Covid-19 virus. Online based learning used in this study is learning that utilizes the use of Whatsapp in information communication tools. However, there are some obstacles in he process of implementing learning at UPT SDN 1 Margakaya such as not all students can take part in the online learning process because of the weak internet network and not all guardians of students have handphone andenthusiastic in participating in the online based learning process. This research was conducted to determine the role of information technology in online learning during Covid-19 Pandemic of UPT SDN 1 Margakaya. This research method uses qualitative methods with a descriptive approach. The result of this research is that the whatsapp application based learning has an important role in the implementation of learning, the other than that there are factors that greatly influence the learning process when carried out online during the Covid-19 Pandemic.Keywords : Covid-19 Pandemic, Online learning, Information Technology
The History of Formation of the Japanese Collection in the National Library of Russia

The article introduces the history of the formation of the Japanese collection in the National Library of Russia. Materials in Japanese are available in various departments of the library; the article focuses on the largest collection of materials in Japanese, namely the Japanese collection of the Department of Asian and African Countries Literature (DAAСL). An attempt is made to briefly present two topics: firstly, the history of the Japanese collection and the department, and secondly, the history and sources of the acquisition and formation of the Japanese fund. Therefore, the article is divided into two sections. In both sections, the history of the DAAСL and the topic of international book exchange in the library are closely interconnected with the main topic of the article, the formation of the Japanese collection. The author also emphasizes the difficulties, negative factors and challenges faced by the fund and the library, not to underestimate the role of the Japanese collection of NLR, but to show what solutions were found throughout its history.
A commentary of Digital contact tracing in MIT Technology Review 2021

In 2020, the COVID-19 pandemic has brought “digital contact tracing” to the forefront of public attention. In the context of COVID-19, technology has offered public health investigators a new capability for locating infected individuals, i.e., digital contact tracing. Through this technology, investigators were able to track the location of patients without relying on their memory, which alleviated disease surveillance pressure. The practical application of this technology is known as “Exposure Notification.” Developers were able to complete the creation and operation of this digital contact tracing system within a few weeks, and they made the code open-source to ensure that Apple and Android users worldwide could utilize it.①
Measurement of the magnification and distortion of high-precision imaging system using dual-fiber point diffraction interferometer

Magnification and distortion are two important parameters for high-precision imaging systems. Point diffraction interferometers (PDIs) can measure the magnification, distortion, and wavefront aberration of imaging systems with high precision. However, determining the precise pinhole alignment of the classical PDI is difficult. A new method for measurement of the magnification and distortion based on a dual-fiber point diffraction interferometer (DFPDI) is proposed. The end faces of two fibers are placed on the object plane of the optics under test and imaged to the image plane. The distance between the image points in the x and y directions are proportional to the Z2 and Z3 Zernike coefficients of the wavefront measurement result, respectively. The measurements of the image placement shift and precise alignment of the point diffraction pinhole are realized rapidly with high accuracy. The feasibility of the method is verified experimentally. The wavefront aberration, magnification, and distortion of a 5 × reduction lens with numerical aperture (NA) of 0.3 is measured jointly. The measurement uncertainties (3σ) of the magnification in the x and y directions and distortion are 756 ppm, 793 ppm, and 0.233 μm, respectively. Error analysis shows that the position error of the object- and image-plane stages is the main error source. An improved measurement scheme with a pinhole–pinhole pairs array in the object plane and a pinhole–window pairs array in the image plane is proposed. The influence of the position errors of the stages is eliminated with optimized measurement procedure. The DFPDI’s measurement repeatability (3σ) of the Z2 and Z3 coefficients is 0.65 and 0.33 nm, respectively, corresponding measurement uncertainties (3σ) of the magnification (in the x and y directions) and distortion can reach 1.88 ppm, 1.69 ppm, and 0.812 nm, respectively.
A Smoke Removal Method Based on Combined Data and Modified U-Net for Endoscopic Images

In minimally invasive surgery, the ablation of human tissue will produce a lot of smoke, which will interfere with the surgeon’s operation. We propose a smoke removal method based on combined data and modified U-net for endoscopic images. The real dataset and the synthetic dataset are built using a small amount of images with smoke. The real dataset is combined with the synthetic dataset successively. Qualitative evaluation shows that the quality of the output smoke-free image is the best when training using the combined data, compared to using only either the real dataset or the synthetic dataset above. Quantitative evaluation shows that the effect of smoke removal is still the best when training using the combined data in our method.Clinical Relevance—A real-time smoke removal method suitable for endoscopic surgery is proposed to help surgeons get clear images in real time and make the operation go smoothly.
TLB-pilot: Mitigating TLB Contention Attack on GPUs with Microarchitecture-Aware Scheduling

Co-running GPU kernels on a single GPU can provide high system throughput and improve hardware utilization, but this raises concerns on application security. We reveal that translation lookaside buffer (TLB) attack, one of the common attacks on CPU, can happen on GPU when multiple GPU kernels co-run. We investigate conditions or principles under which a TLB attack can take effect, including the awareness of GPU TLB microarchitecture, being lightweight, and bypassing existing software and hardware mechanisms. This TLB-based attack can be leveraged to conduct Denial-of-Service (or Degradation-of-Service) attacks. Furthermore, we propose a solution to mitigate TLB attacks. In particular, based on the microarchitecture properties of GPU, we introduce a software-based system, TLB-pilot, that binds thread blocks of different kernels to different groups of streaming multiprocessors by considering hardware isolation of last-level TLBs and the application’s resource requirement. TLB-pilot employs lightweight online profiling to collect kernel information before kernel launches. By coordinating software- and hardware-based scheduling and employing a kernel splitting scheme to reduce load imbalance, TLB-pilot effectively mitigates TLB attacks. The result shows that when under TLB attack, TLB-pilot mitigates the attack and provides on average 56.2% and 60.6% improvement in average normalized turnaround times and overall system throughput, respectively, compared to the traditional Multi-Process Service based co-running solution. When under TLB attack, TLB-pilot also provides up to 47.3% and 64.3% improvement (41% and 42.9% on average) in average normalized turnaround times and overall system throughput, respectively, compared to a state-of-the-art co-running solution for efficiently scheduling of thread blocks.
Free education as the main idea in the preparation of a competitive graduate

The purpose of the article is to analyze the experience of training students in the framework of implementation the idea of free education. The study participants were students of higher educational institutions of the age group from 17 to 24 years. Throughout the study, the subjects were under the supervision of experts who recorded the features of students ' choice and the main aspects of their behavior. The study showed that students are active participants of educational process they highly appreciate the importance of free education and are ready to use its elements in teaching. The idea of implementing free education is a promising direction in the training of highly qualified specialists.
Law Enforcement Officers’ Reaction on Traditional Crimes to Fight Cybercrime Locally

Cybercrime has become one of the fastest-growing concerns for law enforcement agencies at the federal, state, and municipal levels. This qualitative case study examined the perceptions of nine law enforcement officers from Texas regarding combating cybercrime at the local level. The study focuses on how do law enforcement officers who respond to traditional crimes describe law enforcement agencies’ preparedness to fight cybercrime locally. Data collection consisted of semistructured interviews, where member-checking helped to enhance trustworthiness. The results from this study helped fill the gap in the literature regarding the unknown perceptions of law enforcement officers responding to cybercrimes at the local level. This study also focused on the behaviors of the participants regarding responding to cybercrimes. Participants indicated that law enforcement agencies take cybercrime seriously; however, cybercrimes are not a high priority for law enforcement at the local level. Participants also provided challenges that local law enforcement agencies face in cybercrime investigations locally.
GAME ONLINE DUEL MATEMATIKA BERBASIS WEB

Mathematics is a science that is very useful in everyday life. Mathematics lessons can be applied in various ways in everyday life. Hone skills in arithmetic can be done through interactive games such as games or games that are digital. This kind of game or game aims to provide education and a spirit of competition, especially in mathematics, by competing with other people to hone skills and speed in answering questions. A web-based math duel game made with HTML5, CSS3, PHP, and JavaScript technology. In this game, players can duel in Realtime with opponents in answering questions correctly and accurately by using a matching system according to the player's ranking. This Math Duel Web Game also has three types of games so that players have more playing options.
Comparing Two Counting Methods for Estimating the Probabilities of Strings

There are two methods for counting the number of occurrences of a string in another large string. One is to count the number of places where the string is found. The other is to determine how many pieces of string can be extracted without overlapping. The difference between the two becomes apparent when the string is part of a periodic pattern. This research reports that the difference is significant in estimating the occurrence probability of a pattern.In this study, the strings used in the experiments are approximated from time-series data. The task involves classifying strings by estimating the probability or computing the information quantity. First, the frequencies of all substrings of a string are computed. Each counting method may sometimes produce different frequencies for an identical string. Second, the probability of the most probable segmentation is selected. The probability of the string is the product of all probabilities of substrings in the selected segmentation. The classification results demonstrate that the difference in counting methods is statistically significant, and that the method without overlapping is better.
ACTIVATION OF COGNITIVE ACTIVITY OF SECONDARY SCHOOL STUDENTS IN THE PROCESS OF PROFILE LEARNING OF TECHNOLOGIES OF TRANSFORMATIVE ACTIVITY

The article is devoted to the search for ways to intensify the cognitive activity of high school students in the process of specialized training in technologies of transformational activity. The study proposes the definition of the content of the term cognitive activity of high school students in the process of specialized training of technologies; methods of consistent formation of students' initiative, energy, integrity, interest in learning, independence, will, perseverance in achieving the goal of quality mastery of the curriculum; ways to intensify the cognitive activity of high school students in the process of specialized training in technologies of transformational activities, taking into account the system approach; directions for further research of the problem.
Research on the Visualization of Living Conditions from the Power Consumption Data using the ECHONET Lite Standard

The acquisition and utilization of power consumption data in the living environment is developing due to the spread of HEMS and ECHONET Lite standards in Japan. Recently, with the growing demand for health management functions in next-generation of housing, research on the lifestyle improvement proposals by estimating living conditions is processing. In our past research, we have proposed a method of acquiring power consumption data from home appliances in the living environment using the ECHONET Lite standard as a method of acquiring the activity information of actual residents to estimate living conditions without burdening residents due to privacy and cost. In this research, we estimate the operation pattern of each home appliance required to visualize the living conditions from the power consumption data of home appliances acquired from the living environment.
Smart Tab Predictor: A Chrome Extension to Assist Browser Task Management using Machine Learning and Data Analysis

The outbreak of the Covid 19 pandemic has forced most schools and businesses to use digital learning and working. Many people have repetitive web browsing activities or encounter too many open tabs causing slowness in surfing the websites. This paper presents a tab predictor application, a Chrome browser extension that uses Machine Learning (ML) to predict the next URL to open based on the time and frequency of current and previous tabs. Nowadays, AI technology has expanded in people’s daily lives like self-driving cars and assistive-type robots. The AI ML module in our application is more basic and is built using Python and Scikit-Learn (Sklearn) machine learning libraries. We use JavaScript and Chrome API to collect the browser tab data and store it in a Firebase Cloud Firestore. The ML module then loads data from the Firebase, trains datasets to adapt to a user’s patterns, and predicts URLs to recommend opening new URLs. For Machine Learning, we compare three ML models and select the Random Forest Classifier. We also apply SMOTE (Synthetic Minority Oversampling Technique) to make the data-set more balanced, thus improving the prediction accuracy. Both manual tests and Cross Validation are performed to verify the predicted URLs. As a result, using the Smart Tab Predictor application will help students and business workers manage the web browser tabs more efficiently in their daily routine for online classes, online meetings, and other websites.
A preliminary study on low-frequency earthquakes at Mt. Fuji, Japan, using the matched filter method

We give a preliminary report on results of detecting low-frequency earthquakes (LFs) occurring at Mt. Fuji, Japan, using the matched filter method (MF method: e.g., Peng & Zhao, 2009).LFs have been observed in the depth 10-25km beneath Mt.Fuji (Hamada, 1981; Ukawa et al, 2005).These LFs seem to occur at an almost constant rate at all times, but it may become remarkably active as in the fall of 2000 (Yoshida et al., 2006)).Because it is considered that the activity of LFs is associated with behavior of magmatic fluid at depth (e.g., Nakamichi et al., 2003), an investigation into the relationship between LFs and volcanic activity (e.g., Harada et al., 2010) is important.Understanding of the details of LFs activity is the first step for this investigation.Here, a system using the MF method for detecting LFs at Hakone volcano, Japan (Yukutake, 2017; Yukutake et al., 2019), was modified to be applicable to the detection of LFs at Mt. Fuji.Then, this was applied to continuous seismic record at seismic stations around Mt. Fuji during the period of 2012-2020.Next, the template waveforms of LFs were prepared on the basis of the earthquake catalog maintained by the Japan Meteorological Agency (JMA).Then, the cross-correlation analysis was conducted between the template waveforms and the seismic records.Finally, a catalog of LFs, obtained by using the MF method, was created.Using this catalog, we confirmed that LFs in 2012-2020 occurred at an almost constant rate, and that this is also true for LFs included in the JMA catalog.However, our case shows that LFs occurred at a rate of about 1,250 per year, which is about 10 times higher than that shown for the JMA case (a rate of about 125 per year).It was also confirmed that the larger LFs tend to have fewer numbers and smaller LFs tend to have more numbers, again a feature found by using the JMA catalog.Our research is underway, and tackling challenges such as selection of appropriate template waveforms of LFs, correction of magnitude estimate, and extension of analysis period will improve our results, which will be reported in the presentation.
SPIFFY SHIRTS E-COMMERCE STORE (CROSS PLATFORM APPLICATION)

In today's generation, most people are using technology for leading their lives and fulfilling their daily needs. In this generation most of us using E-commerce for shopping for clothes, groceries, and electronics (Chanana and Goele, 2012).We have developed one E-commerce cross platform application by using MERN stack and PWA technology as it contains MongoDB, Express.JS framework, React.JS library, Node.JS platform. PWA technology is applied to enable users to access a native-like mobile version of their favorite website with a single tap.This application is fully functional with different views for user and admin and it also has integrated with payment gateway for checkout. By using this website we can buy different types of t-shirts and we can choose different styles of t-shirts based upon customer interests. In this project, we can add different products and can delete them also. We have developed administrative functions for the application such as create a product, create categories, Admin dashboard, Manage products, Manage categories. For customers, they can quickly add their items to the cart. Based on the items in the cart, the bill gets generated and the customer can pay by using stripe. (Mai,2020) Keywords: JavaScript, Software Stack, Framework, Library, Performance Analysis, React.js, MongoDB, Node.js, Express.js.
Biomedical Watermaking Using Arnold Transformation

Nowadays, securing biomedical images from several attacks have become an important issue. Biomedical images are highly sensitive, and it requires high security and copyright protection in telemedicine applications. Watermarking is the perfect choice for this purpose. Watermarking is a technique of hiding signature information in an original signal where the signature can be in the form of an image, random message, or a video. In this article, we have proposed a new, robust and highly secured technique of reversible watermarking in biomedical imaging that does not affect the image quality and readability. In this technique, the Region of Interest (ROI) and the Region of Not Interest (RONI) are separated from the original image. Watermark embedding is preferred in RONI. Watermark signal can be extracted with high quality from the watermarked image. This article discusses the pros and cons of current methods of watermarking in medical imaging. This method gives a high value of peak signal to noise ratio (PSNR) and the low value of root mean square error (RMSE). The technique does not alter any useful information of the original image and can be used against different categories of attack. It provides proof of ownership and full control over images.