Reviewerly/exHarmony huggingface dataset:
Can simpler be better? Review of methods for the detection of GAN-generated imagery

As generative-adversarial-networks (GANs) continue to show progress in generating realistic imagery, there is a need to develop methods for distinguishing fake images from real images. This paper reviews state-ofthe- art methods for detecting real vs. GAN-generated images of faces. The methods used are NoiseScope, Resynthesis, Attribution Network, CNNDetector and DFT-based detection. Most methods are based on deeplearning architectures, except for the one using Discrete Fourier Transform (DFT) and a simple classifier based on azimuthal averaging of the image spectrum. While one might expect the deep-learning based methods to perform better, our initial experiments show that the DFT-based classifier performed the best and was the fastest and simplest to implement. These results illustrate that sometimes simpler methods can achieve better results, when comparing computation speed and performance, and point to the usefulness of considering a variety of approaches for the detection of fake imagery. The robustness of the methods were also assessed by adding different types of noise to the GAN generated images.
5G Virtual Reality Internet of Things - Research on Human Fall Behavior Recognition and Prediction Based on Wearable Inertial Sensors

<p style="text-align: justify;"><span style="font-size:16px;font-family: 'Times New Roman','serif'">The 19th National Congress of the Communist Party of China put forward the strategy of rural revitalization, demanding that the development of agriculture and rural areas should be given priority, and rural revitalization should be promoted in an all-round way. This has brought new opportunities and hopes for rural development. All parts of Anyang City are also actively implementing the policy of the rural revitalization strategy, speeding up the industrialization of agriculture, adjusting the rural industrial structure, and constantly exploring the industrial model to revitalize the rural economy. The tourism industry in Anyang has developed rapidly in recent years and has become a strong driving force for regional economic development. In the context of the rural revitalization strategy, the coordinated development of the coupling of agriculture and tourism has pointed out the direction for the revitalization of the rural economy.</span>
About Us Current Issue Archives Contact Us Search Volume02 Issue01 Articles CHARACTERISTICS OF COMMUNICATIVE COMPETENCE OF A TEACHER OF A PRESCHOOL ORGANIZATION

The article deals with the problems of development of creativity and communicative competence of a preschool teacher.
Pelatihan Blended Learning Hypercontent with Hyperlink Menggunakan QR Code untuk Guru Sekolah Menengah Pertama sebagai Strategi Pembelajaran Matematika di Purwakarta

As we all know that the Covid-19 pandemic has paralyzed various aspects including education. In the field of education, learning habits are limited face-to-face and are required to apply strict health protocols. On the other hand, the ability of teachers to teach their field of study using online methods still has limitations, for example, the ability to design teaching materials and transfer learning using media is considered to be very limited. Training and improving teacher competence through blended learning and the use of hyper content with hyperlinks are seen as one of the solutions so that teachers can design teaching materials oriented to text and image processing by using QR Codes. The subject matter, whether text, images, graphics, diagrams, or models designed by the teacher, can be delivered by using hyper content and inserting links to being content on the internet such as YouTube, to enhance the knowledge supply of teachers and students. The training activities were carried out face-to-face at the New Building, UPI Campus in Purwakarta, involving 20 Junior High School Teachers and 18 Madrasah Tsanawiyah Teachers in Purwakarta Regency. The results of the activity show that the blended learning hyper content with hyperlink training can improve the ability of teachers in designing engaging, interactive digital modules or teaching materials that are rich in content that can be accessed online anytime and anywhere or printed and then scanned via QR Code when students want to access the provided learning content. Thus, blended learning hyper content with hyperlinks can be used as an effective solution in improving the ability of teachers to design teaching materials during the COVID-19 pandemic and the implementation of limited face-to-face learning.
“Re-Materialized” Medical Data: Paper-Based Transmission of Structured Medical Data Using QR-Code, for Medical Imaging Reports

Although paper-based transmission of medical information might seem outdated, it has proven efficient, and remains structurally safe from massive data leaks. As part of the ICIPEMIR project for improving medical imaging report, we explored the idea of structured data storage within a medical report, by embedding the data themselves in a QR-Code (and no URL-to-the-data). Three different datasets from ICIPEMIR were serialized, then encoded in a QR-Code. We compared 4 compression algorithms to reduce file size before QR-Encoding. YAML was the most concise format (character sparing), and allowed for embedding of a 2633-character serialized file within a QR-Code. The best compression rate was obtained with gzip, with a compression ratio of 2.32 in 15.7ms. Data were easily extracted and decompressed from a digital QR-Code using a simple command line. YAML file was also successfully recovered from the printed QR-Code with both Android and iOS smartphone. Minimal detected size was 3*3cm.
Emergency Vehicle Breakdown Assistance using Android

Abstract: People nowadays prefer to commute in their own vehicle to avoid traffic and annoyance. However, in the event of a breakdown while travelling, finding a repair in an unfamiliar location is quite difficult. As a result, we presented a mobile and web-based help solution to solve this problem. All mechanics will be able to register with their service information using this system. The end user, on the other hand, must download and install a mobile help programme on their Android device. When the user is online, the mobile app will track his current position and save it in a database. The system will generate a list of nearby service providers based on the user's current location, which will be saved in the user's smartphone. When the user searches for a service provider, the list is presented and saved in the user's mobile phone, so that if the user's car breaks down and his phone is out of range, he may still see service providers closest to the prior position that the system monitored. When the user searches for a service provider, the list is presented and saved in the user's mobile phone, so that if the user's car breaks down and his phone is out of range, he may still see service providers closest to the prior position that the system monitored. When the user searches for a service provider, the list is presented and saved in the user's mobile phone, so that if the user's car breaks down and his phone is out of range, he may still see service providers closest to the prior position that the system monitored. Keywords: Vehicle, Breakdown, Assistance, Android, Flask API
Modeling Real Time Object Identification Performance Evaluation with YOLO

Object identification in pictures, videos, and signal processing is not a big frontier and has been around for a few years. Though object recognition in static pictures has proven highly promising in terms of specific items such as facial recognition systems, illness diagnosis, and so on, it has been tricky when it comes to video processing and real-time image processing. Traditional object identification techniques are coupled with machine learning methodologies to improve algorithms' speed and accuracy. The paper focuses on real-time object recognition systems and how recent advances in the realm of object recognition and identification have been made while bearing in mind the real-time scenarios for recognizing varied objects.The paper discusses the current implementations illustrated by varied authors using far more widely used algorithms including YOLO for real-time visualizations. Keywords: Object recognition, YOLO, Machine learning, RCNN, faster RCNN
Content Aware Video Streaming with MPEG DASH Technology

Streaming has become one of the most significant topics in recent years. Network conditions may change from time to time and this affects quality of communication negatively. MPEG DASH, which means dynamic adaptive streaming over HTTP has been developed to adapt communication to environmental conditions and maintain quality. In this study, a system is developed with MPEG DASH to reduce bandwidth usage of network. Video is separated to parts as detailed and non-detailed visually. While detailed scenes are streamed in high quality, less detailed ones are streamed in low quality. Encoding rates are decided by considering SSIM, and suitable bitrate values are selected. Streaming of content is performed with Bitmovin Player. Performance of model is analyzed through bandwidth metric in Wireshark Packet Tracer with a conclusion that there is 35% reduction in bandwidth utilization.
A Cheerleader, a Snapchat, and a Profanity go to Supreme Court but the Punchline in <i>Mahanoy</i> Isn’t Funny

In Reno v. ACLU and Packingham v. North Carolina, the U.S. Supreme Court ruled that government-enacted restrictions on online speech must pass strict scrutiny review. Even so, efforts to compel and restrict speech appearing in private venues like social media continue to expand in scope and number at both the state and federal level. We first explore Mahanoy Area School District v. B.L. in the context of student speech cases before discussing how the decision destroys the traditional boundary of the schoolhouse gate for the regulation of student speech. It does so despite the fact that the cheerleader’s profane messages would have been protected expression in any nonschool situation. We then argue that Mahanoy, despite being an individual win for the cheerleader, illustrates how the Court continues to wrestle with traditional applications of the First Amendment to internet speech. We argue that the decision has the regulation of internet speech following a path similar to the regulation of broadcast speech.
Toward mobile learning at Jordanian higher education institutions

Globally, &lt;span&gt;teaching methods and tools in higher education institutions (HEIs) have changed nowadays. Many attempts have been made in Jordanian higher education institutions (JHEIs) in order to improve and continuity of the educational process, especially during coronavirus pandemic. The outbreak of this virus has become a major disruption where all Jordanian universities cancelled classes and moved toward online learning, and mobile learning (ML) has appeared as one of the possible solutions. ML is in its early stages at JHEIs, and it is academically unexplored enough. So, this study explores the ML experience at JHEIs during coronavirus disease 2019 (COVID-19) crisis. The data were collected using a web survey where 272 students in JHEIs participated. The results revealed that the smartphone is the most widely used mobile device for ML ML is easy to use, ML increases the interaction between the instructor and the students and among the students themselves, ML has a positive impact on students’ performance, and also students are willing to use ML in the future. The outcomes of the study support policy makers at JHEIs to make educational decisions relating ML phenomenon.&lt;/span&gt;
Penerapan Metode Forward Chaining dan Algoritma Certainty Factor Untuk Mendiagnosa Penyakit Pada Kucing Berbasis Web

Cats are animals that are very popular today among people, from young people to old people who like cats. We as cat owners must also be responsible for sharing all the needs of the cats we raise. However, many activities and other matters from cat owners also sometimes do not remember to pay attention to the health condition of the cat, so that the cat is susceptible to various diseases. Of the various diseases, generally there are indications that will appear. However, to be able to identify correctly and correctly the type of disease that occurs, of course you need an expert or a veterinarian. On the other hand, the number of veterinarians available is very limited and the number of veterinary clinics is still low. Therefore, it is necessary to build a system that can help diagnose diseases in cats. The purpose of this study is to diagnose early disease in cats to make it easier for cat owners to find out what diseases their pets suffer from with this web-based expert system application. This diagnosis is designed usingmethods Forward Chaining and Certainty Factor. The method Forward Chaining is starting from a set of data that leads to a conclusion. While thealgorithm is Certainty Factor used to calculate the level of confidence from the conclusions of the method Forward Chaining, using PHP programming tools, and Sublime Text 3 and MySQL as databases. From the day of testing the application, there were 250 data with the conclusion that 27 cats (10.8%) were diagnosad with Toxoplasmosis. 79 cats (31.6%) were diagnosad with Cat Flu. 68 cats (27.2%) were diagnosad with Feline Panleukopenia, 46 cats (18.4%) were diagnosad with Cryptococcus and 30 cats (12%) were diagnosad with Feline Infectious Peritonitis.
BLOCK CHAIN BASED VERIFICATION AGAINST PROCRASTINATING AUDITORS

Abstract–Sending Distributed Storage Administrations has key benefits in managing information for customers. Anyway, it also comes with a lot of security issues and one of them is the accuracy of the information. Open verification methods can allow a client to use an external evaluator to confirm the honesty of the information to the benefit of the organization, while existing open confirmation plans are vulnerable examiners who may not perform confirmations accurately. In this document, we propose a delegated third-party auditor for the background check process performed by each organization. A new verification mode has been introduced in our project which implements block chain technology. By usage of block chain each and every data about the candidate which is available in the database will remains secured. We use this technology to access past related data about a candidate who will be verified by the auditor, by providing an unique identity for the each entity involved in the verification process. Once the process is complete, the auditor will update the results statement in database and then the candidate will be available to the organization for further process. By the usage of this block chain technology the background details of the persons will stored in a confidential manner Key Words: security issues, verification mode, block chain technology
PENGARUH KEMANDIRIAN BELAJAR TERHADAP HASIL BELAJAR IPA PESERTA DIDIK KELAS VIII SMPN 1 PALU SELAMA MASA PEMBELAJARAN DARING

This study aims to determine the effect of self-regulated learning on science learning outcomes for class VIII SMPN 1 Palu students during the online learning period. This study is a quantitative study using a cross-sectional survey design. The sample in this study amounted to 181 class VIII students of SMP Negeri 1 Palu in the 2020/2021 school year. Data collection was carried out using instruments in a self-regulated learning scale questionnaire and student learning outcomes tests. The data analysis technique used in this study was regression analysis. The results showed that there was a significant influence of self-regulated learning on the science learning outcomes of class VIII SMPN 1 Palu students during the online learning period
Sensors Calibration and Filter Initialization in Visual Inertial Odometry

Visual inertial odometry (VIO) is an enabling technology for mobile home robots which is possible nowadays due to novel low-cost cameras and inertial measurement units (IMUs). This work analyzes how the system-hardware calibration and system-state initialization, followed by the dynamical propagation of IMU readings, involving intrinsic bias, influence the VIO. Then we analyze the synergies between these two sensors in the context of pose estimation. The calibration of the system, namely the rigid transformation between camera and IMU is performed with a free, public domain, tool. The visual and inertial data is processed by means of an Unscented Kalman Filter with Lie group embedding for state representation. We propose a state initialization for this filter that enables matching the integrated IMU readings with the tracked visual features. Experiments and results show the importance of successfully matching the feature tracks in the first images with the starting integration of IMU readings, as significant errors in initial bias estimations may preclude sensors fusion and filter convergence. Results show also that the operation of the fusion filter allows synergies between the two sensors, while the IMU provides instantaneous and reliable estimations of translation and rotation speeds, the visual component provides IMU bias correction.
HILDA'22: The SIGMOD 2022 Workshop on Human-in-the-Loop Data Analytics

HILDA brings together researchers and practitioners to exchange ideas and results on human-data interaction. It explores how data management and analysis can be made more effective when taking into account the people who design and build these processes as well as those who are impacted by their results. We are trying to change things up a bit for HILDA 2022. There are now several good venues for the kind of work that HILDA has traditionally attracted. We plan to focus this year's workshop on early-stage research that is promising and exciting. A core part of this plan is that every paper gets a mentor. In this summary, we describe the workshop, its main areas of focus and our review and mentorship plan.
The impact of audio effects processing on the perception of hardness of Bass Drum

In the music mixing, mixers and music producers often use hardness to describe the feeling of percussion instruments, such as the drum instruments. When dealing with the hardness of drums, the mixer often mixes the sound in terms of frequency and dynamics. One important issue is that it is difficult to define the contribution of adjusting the frequency or dynamics of the drum to the perception of drum tone hardness, and this perception is difficult to be quantified. A subjective user study on the hardness of drum sound is proposed. Taking the audio of the Bass Drum as an example, different audio effects are applied to process the Bass Drum. Twenty-three participants were recruited to participate the auditory perception test. The result indicates that compression, equalisation, high-frequency excitation and low-frequency excitation all have varying degrees of impact on the hardness of the Bass Drum. The high-frequency excitation and low-frequency excitation have a statistically significant substantial influence on the sound hardness of the Bass Drum. Taking together, for the first time, the authors’ study comprehensively investigate the impact of audio effect processing on the perception of the hardness of Bass Drum, providing useful guidance for the application of various audio effects on percussion instruments.
Offline Signature Verification based on Edge Histogram using Support Vector Machine

Investigation on verification of offline signature has explored a huge sort of techniques on more than one signature datasets, which can be amassed beneath managed conditions.However, these records will not necessarily reflect the characteristics of the signatures in some useful use cases.In this work, introduced a novel feature representation technique called edge histogram and 4 directional histograms for offline signature verification system.For classification of signature support vector machine (SVM) technique employed.Edge is a curve or point where the intensity of an image changes rapidly.Edges represent the boundary of object of an image.Edge detection is a process of detecting edges of an image.Several algorithms are available to detect edges effectively from an image.Canny, Roberts, Prewitt and Sobel are several popular available edge detectors.
A study of pre-service teachers’ readiness for integrated learning in primary school

In this article, the authors explore the problem of pre-service teachers’ readiness for integrated learning in primary school. The purpose of the article is to determine the state of readiness of pre-service teachers for integrated education in primary school at the stage of university training. The study was conducted in the logic of a summative psychological and pedagogical assessment, the material obtained from the empirical data was analyzed and summarized. The sample consisted of 120 students enrolled in an educational program at Karaganda Buketov University and Pavlodar Pedagogical University. The obtained data are interpreted and subjected to statistical analysis using the student’s t-test. The components of the pre-service teachers’ readiness for the type of activity under study are determined: motivational, substantive, procedural, and their indicators, levels. In conclusion, the reasons that influenced the learning outcomes of the studied students are described, and the tasks of eliminating the identified causes are determined. Keywords: Integrated learning; knowledge; pre-service; primary school; scientific.
Evaluasi Fungsi Sistem Drainase Kawasanan Permukiman Kota Tolitoli (Studi Kasus Rt 001.002-Rw 005 Kelurahan Baru)

In principle, roads in Tolitoli Regency have been equipped with a drainage system. From the results of the field survey, the data needed as a reference for evaluating the drainage system are obtained, namely the dimensions of the channel, the area of ​​the study area as primary data and land surface elevation, population data as secondary data. The data obtained were analyzed in order to obtain different soil surface heights, different heights at each point of the drainage channel, the dimensions of the current drainage channel along with the depth of sediment in the drainage channel, so that the cause of the malfunction of the drainage system can be determined. The cause of non-functioning drainage in urban residential areas is due to sedimentation at the bottom of the channel which causes drainage not optimal. So it is necessary to maintain the function of the existing drainage channels in urban residential areas so that they can function optimally.
Whirlpool Hash Mutual Biometric Serpent Authentication (WPHMBSA) for secured data access in cloud environment

Cloud systems allow data sharing capabilities for providing several benefits to users and organizations.However, authentication accuracy (AA) was not improved, and time consumption was not reduced.To increase authentication accuracy, Whirlpool Hash Mutual Biometric Serpent Authentication (WPHMBSA) Technique is designed to access data on a server in a secured manner.During the registration process, users' data are registered and stored on the server.After registering, the cloud server generates an ID and password for every registered user.For authentication, the user needs to login with an ID and password to the cloud server.During authentication, WPHMBSA Technique authenticates the biometric keys of the users.When a user is legitimate, WPHMBSA Technique confirms their authenticity to the server.Experimental evaluation of the WPHMBSA Technique and existing methods are performed by various parameters with the amount of cloud user's information.The experimental results show that the WPHMBSA Technique obtains high accuracy and confidentiality rate within minimum time.