Reviewerly/exHarmony huggingface dataset:
Implementasi Konfigurasi Hotspot Di Kantor Desa Dengan Menggunakan Router Mikrotik Yang Terintegrasi Dengan Aplikasi Mikhmon

Internet network management is absolutely necessary for agencies that use tools that require an Internet connection, such as PC computers, laptops, or smart phones, the increasing number and variety of applications that can be served by a network affects the use of links in the network. It has become a necessity that in today's era Wireless (Wifi Hotspot) is very much needed, both for laptop internet needs and, making it easier for patra users of these tools to use it as a support for their activities at work. Routers have a function to manage connections in a network, but without proper methods, techniques and configuration, the network will not function optimally.The Mikrotik router is an operating system that includes a full range of features for wireless networks. Mikrotik can also function as a firewall for the user's computer so that they can access internet data and local data. Mikrotik aims to regulate bandwidth and perform computer network management. Mikrotik router is placed as a gateway to a network. The gateway computer functions to distribute data in and out of and to other computers so that all computers can access data together such as Internet sharing (Mancill: Dua Thousand Dua).The problem that exists at the Cieurih Village Office is the inadequate use of the internet network to support the performance of village officials, so that internet usage at the office becomes inefficient because every user connected to the network can take advantage of the internet connection for personal needs. Currently, the Cieurih Village Office only uses Mikrotik Access Points from ISP Artha Flash and Switch Hub as internet network dividers and functions only to provide internet services without configuration from a router as described above so that the network received by every device connected to it The internal network at the Cieurih village office is unstable and very poorly supports the performance of village officials due to the absence of network management, not to mention devices that cannot use the internet via LAN cables such as Notebooks and SmartPhone which can only be connected to the internet network via Wireless (Wifi Hotspot) can not be used optimally.
DEVELOPMENT OF ALGORITHMIC THINKING AND SOFT SKILLS BY PROGRAMMING OF SCHOOL ROBOT

The gradual disappearance of traditional professions and the introduction of new ones determines the need for digitally competent people. In a time of digitalization, digital skills are not just a necessity for people working with hardware and software but for others too. Digitalization has entered all аspects of our lives – art, science, medicine, education, etc. This makes the possession of digital skills a mandatory factor for the successful realization of the individual. The article presents the results of a pedagogical survey conducted among students in primary school. The focus of this material is on the forming an algorithmic thinking and soft skills in children aged 9–10 years.
K-nearest neighbour and dynamic time warping for online signature verification

Online signatures are one of the most commonly used biometrics. Several verification systems and public databases were presented in this field. This paper presents a combination of k-nearest neighbor and dynamic time warping algorithms as a verification system using the recently published DeepSignDB database. Our algorithm was applied on both finger and stylus input signatures which represent both office and mobile scenarios. The system was first tested on the development set of the database. It achieved an error rate of 6.04% for the stylus input signatures, 5.20% for the finger input signatures, and 6.00% for a combination of both types. The system was also applied to the evaluation set of the database and achieved very promising results, especially for finger input signatures.
Efficient Visual Place Recognition by Adaptive CNN Landmark Matching

Visual place recognition (VPR) is a fundamental yet challenging task of mobile robot navigation and localization.The existing VPR methods are usually based on some pairwise similarity of image descriptors, so they are sensitive to visual appearance change and also computationally expensive.This paper proposes a simple yet effective four-step method that achieves adaptive convolutional neural network (CNN) landmark matching for VPR.First, based on the features extracted from existing CNN models, the regions with higher significance scores are selected as landmarks.Then, according to the coordinate positions of potential landmarks, landmark matching is improved by removing mismatched landmark pairs.Finally, considering the significance scores obtained in the first step, robust image retrieval is performed based on adaptive landmark matching, and it gives more weight to the landmark matching pairs with higher significance scores.To verify the efficiency and robustness of the proposed method, evaluations are conducted on standard benchmark datasets.The experimental results indicate that the proposed method reduces the feature representation space of place images by more than 75% with negligible loss in recognition precision.Also, it achieves a fast matching speed in similarity calculation, satisfying the real-time requirement.
LIMBAH KAYU DAN KERTAS BEKAS UNTUK PULP KERTAS

His study aims to analyze the extent to which a mixture of wood waste and used newsprint can be used as raw material for making paper.This study used a completely randomized design with two replications. where the treatment given is a mixture composition between waste wood pulp and old newsprint pulp, each consisting of 0 : 100% (A), 30% 70% (B), 50% : 50% (C), 70% : 30% (D) and 100% : 0% (E) of oven-dry weight of pulp per sheet of paperThe physical properties of paper pulp tested in the form of tear index, tensile index, crack index and folding resistance significantly affect the composition of the mixture of wood waste and used newsprint.The value of tear index, tensile index and folding resistance tend to decrease with the increase in the percentage of used newsprint to the composition of the mixture, while the value of the crack index increases. Wood waste and used newsprint can be used as raw materials in pulp and paper manufacture, especially in the treatment of mixed composition C (50%:50%.)
Last Teen Pixels for Arabic Font Size and Style Recognition

Arabic printed script segmentation and recognition techniques change from font to other i.e. each font has particular properties calligraphic and structural which differ with other. Majority of segmentation system suffer in word or sub word segmentation into characters because they consider one algorithm to segment all kind of Arabic printed font, style and size. The goal of this work is to prepare a system of word or sub word Optical Font Arabic Recognition (OFAR) for different font size and style of Arabic printed script, in order to integrate it in global Arabic Optical Character Recognition (AOCR) to choose preferred and good segmentation algorithm. APTI database was used to extract last ten pixels for each word or sub word to build new database of last 10 pixels for each word; OFAR is based upon this new database and our extraction approach called Pixels Continuity (PC) algorithm in different matrix direction and some histogram statistics to extract 20 features. Three KNN classifiers with K=5 and three different distances using Cityblock, Euclidean and Correlation based upon majority-vote are used to evaluate the system robustness. This classifier is compared in the first time with Back propagation Neural Network and Steerable Pyramid (SP) algorithm to re cognize three font families, then in the second time with Gaussian Mixture Models (GMMs) to recognize font and size. The average recognition results obtained was 99.55% about font and size and 98.17% for font, size and style recognition.
Similar Pair-free Partial Label Metric Learning

Partial label learning is a new weak- ly supervised learning framework. In this frame- work, the real category label of a training sample is usually concealed in a set of candidate labels, which will lead to lower accuracy of learning al- gorithms compared with traditional strong super- vised cases. Recently, it has been found that met- ric learning technology can be used to improve the accuracy of partial label learning algorithm- s. However, because it is difficult to ascertain similar pairs from training samples, at present there are few metric learning algorithms for par- tial label learning framework. In view of this, this paper proposes a similar pair-free partial la- bel metric learning algorithm. The main idea of the algorithm is to define two probability distri- butions on the training samples, i.e., the proba- bility distribution determined by the distance of sample pairs and the probability distribution de- termined by the similarity of candidate label set of sample pairs, and then the metric matrix is ob- tained via minimizing the KL divergence of the two probability distributions. The experimental results on several real-world partial label dataset- s show that the proposed algorithm can improve the accuracy of k-nearest neighbor partial label learning algorithm (PL-KNN) better than the ex- isting partial label metric learning algorithms, up to 8 percentage points.
Encryption and Decryption Algorithms for IoT Device Communication

The current trend in computing and data communication is the Internet of things (IoT) that makes use of an interconnected network of devices that utilizes cloud servers for storage and analysis of data. As the number of devices increases progressively and with the reduction in human intervention in the device control and management, different challenging security issues are being faced in data communication. Moreover, the internetworking of these devices and the use of cloud servers make the devices vulnerable to various types of threats. Thus, data safety and security is a challenge while implementing a device network over the Internet. Cryptography, watermarking, and steganography are a few methods that are employed by software engineers that help us to prevent data theft or corruption to a large extent. Image encryption is a method that sends out the data in a secure manner over the network so that any illegal decryption of the message is prevented. This chapter deals with various encryption–decryption algorithms that can be implemented during the communication taking place in an IoT network.
The main aspects of professional training of students in a pandemic

The main purpose of the study is to analyze the main aspects of professional training of students in a pandemic. In modern conditions, an important place is given to the integration of science, education and innovation. University education is designed to provide systemic knowledge about the professional field of activity, its specifics and should form the personal qualities of a specialist. It is assumed that this is one of the decisive factors in the development of the economy and society. The need for highly qualified and proactive workers is exacerbated in new conditions, where the issues of professional and practical training and education of a competitive specialist during their studies at higher educational institutions are of particular importance. The development of university education provides for the acquisition of such a quality that meets the needs of the student's personality, the requirements of society and ensures integration into the global educational space. In modern market conditions, the following requirements are imposed on them: a high level of theoretical training, the prevailing level of social maturity, high efficiency in situations of uncertainty, quick adaptation to the working environment. The study was carried out using the following theoretical methods: systems analysis and synthesis, induction and deduction, comparison, classification, generalization and systematization, idealization and abstraction. Based on the results of the study, the key aspects of professional training of students in a pandemic have been determined.
Educación continua en tiempos de pandemia: un reto para los maestros de inglés en universidades privadas en México.

With the arrival of SARS-CoV-2 (Covid 19) all spheres of human life have been modified. Education has also suffered this sudden and aggressive change. Without the possibility of physical contact, learning based on social interaction has become more complex, such is the case of English teachers who work in private schools in Mexico. Much of their training consisted of face-to-face courses in which there was a socialization relationship between facilitator-learner and learner-learner. According to the socio-constructivist scope, social interaction is vital to generate an effective learning process. It is in this context that the question arises, in what way does the private university English teacher continue his/her training in the context of a pandemic? The participants were 5 English teachers who are working online, the information was obtained through an in-depth interview, this interview was conducted online. The information processing was carried out using Atlas ti 8 qualitative analysis Software. The main findings are related to the problems of virtuality, the redefinition of socialization, technology as a means of learning and autonomy as an inherent value of lifelong education. It is concluded that continuing education is perceived as a mechanism for adaptation to changing, adverse and unprecedented circumstances.
Nigerian Pidgin English and the Social Environment

Nigeria is a country in West Africa that was formerly colonized by Britain. Nigeria has thirty[1]six states and a federal capital territory called, Abuja. Linguistically, Nigeria is a multilingual society with over four hundred languages that has three major languages namely: Hausa, Igbo and Yoruba, while English serves as the official language. Some of the objectives of this paper are: to demonstrate the social environment in which the Nigerian Pidgin English is used, the attitude of people towards the use of the Nigerian Pidgin English and the relevance of the Nigerian Pidgin English in Nigeria. The theoretical framework that is used in this paper is Social Network Theory. The reason for its use in this paper, is that it is a theory that demonstrates how people interact with others inside their network and the ties that people have in the use of a particular speech form. The method of data collection used for this paper is the elicitation method where users of the Nigerian Pidgin English were asked to translate some written Standard English into the Pidgin English. The library texts and the internet were equally consulted for relevant information relevant for the development of the paper. Some of the findings of this paper are that: the Pidgin English in Nigeria is a supplementary language, that the attitude associated with the use of the Pidgin English language is that it is a speech form meant for the illiterate or unserious persons in the society, and that the Nigerian Pidgin English is not encouraged to be used as language of instruction in Nigerian schools. This paper recommends a further research in the study of the Nigerian Pidgin English to develop a standard orthography for all the various forms of Pidgin English in the country, and to encourage documentation in the Nigerian Pidgin English so that a standard form of it can be developed.
Analisis Kinerja Program Kampus Mengajar Dalam Mendukung Pembelajaran Berbasis Video Dan Games Guna Meningkatkan Literasi Numerasi Di SD Swasta Karlina

The Teaching Campus Program is a teaching activity program in elementary schools that is part of the Merdeka Campus program under the auspices of the Ministry of Education, Culture, Research and Technology. This activity aims to assist and also assist elementary school principals in transitioning face-to-face learning (offline) to online learning. The online learning system and inadequate facilities in learning make some students bored in carrying out the teaching and learning process, this is the basis for making interesting learning in the form of video games to attract the attention of teaching and learning activities at SDS Karlina. In this final report, the author describes a series of plans and the results of activities during the Teaching Campus program, especially in terms of the learning system. After completing this program, the authors conclude that this program has a very positive impact on schools, students and program participants. Keyword :Literacy, Numeracy, Video Games,Technology Adaptation.
PLANAR SCINTIGRAPHY IMAGE DE-NOISING USING COIFLET WAVELET

The planar scintigraphic image usually has poor resolution and contains noise. This noise can be removed using the coiflet wavelet method so that the image quality gets better. This coiflet wavelet method is a noise reduction method based on frequency analysis. The planar scintigraphy image is the reconstructed image of the gamma radiation count data (phantom with the Cs-137 source in it). The original image is 15×15 pixel. Before the de-noising process, the image went through an interpolation process, which is to increase the pixel size of the image. The original image enlarged to 70×70, 480×480, and 1200×1200 pixel. After de-noising with coiflet wavelet, the image quality is measured based on MSE and PSNR parameters. The resulting images are quite good, with MSE values are close to zero and PSNR values of more than 60 dB. The smaller the MSE and the bigger the PSNR, is getting the better the image quality. In this study, the results show that the 1200×1200 pixel image has the best quality. It means that the image enlargement process has a good effect on the de-noising process, especially if the original image has a low resolution.
Sistem Pakar Mendiagnosa Penyakit Stroke Transient Ischaemic Attack (TIA) Dengan Menggunakan Metode Dempster Shafer

Transient ischemic attack (TIA) does not cause permanent brain damage. a transient stroke occurs quickly / briefly within minutes or hours. At this stage, transient ischemic attack (TIA) will mostly attack adults between the ages of 20-45 years. To overcome the Transient ischemic attack (TIA) stroke at the Trianda General Hospital, currently, there are still several obstacles that hinder patients, including because some people do not care about their health, lack of public knowledge about Transient ischemic attack (TIA) stroke, lack of medical personnel. at the Trianda General Hospital, as well as the limited working hours of doctors. The expert system is a doctor substitute system. With the existence of an expert system, it is hoped that it will support patients to directly identify the symptoms of stroke that are felt and know the disease they are suffering from. The existence of this expert system does not mean replacing or eliminating the position of an expert or doctor who is an expert in a particular field, especially in the field of neurological diseases at the Trianda General Hospital, but this expert system will greatly support the role of doctors to diagnose diseases in carrying out further examinations so as to facilitate and speed up the performance of doctors at Trianda General Hospital in diagnosing early mild stroke or Transient ischemic attack (TIA) using a dempster shafer.
Fraud in the Russian labor market: a systematic review

This article synthesizes the current knowledge available on the fraud practices in the Russian labor market by conducting a systematic literature review among various databases. The focus of this review is to categorize and conceptualize the diversified types of fraud in the labor market and understand the challenges such practices present. The study is based entirely on the available secondary data collected from Russian and non-Russian academic databases for the last 5 years (2017–2021) in line with the guidelines into best practice. The aim is to promote social security by combining the state-of-the-art body of knowledge of the Russian labor market with respect to all its agents in terms of deviant sociology measures. The findings of this review show current gaps both in academic and legislative practices for approaching fraud in the labor market and present the challenges to overcome for avoiding further negative effects on the economy and society.
Improved Subpixel Amplitude Measurement of Canny Operator in Ultrasonic Frequency Vibration

Ultrasonic frequency vibration exists widely in production and life. The measurement of its amplitude often requires expensive equipment and strict installation environment. At present, the edge detection has become one of the most active topics in the field of machine vision research. However, the detection accuracy of the traditional edge detection methods can only reach one pixel level at the highest, which can no longer meet the needs of actual measurement. A more accurate edge detection method, namely sub-pixel edge detection method, is adopte. The common Canny operator is improved and the experiment is carried out to achieve higher measurement accuracy.
EFL SPEAKING PRACTICE ASSISTED BY ZOOM APPLICATION DURING COVID-19 OUTBREAK IN INDONESIA

Abstract&#x0D; A few studies have investigated Zoom application for EFL speaking practice during this covid-19 outbreak. Still, there are minimal studies that compare speaking practice assisted by Zoom with face-to-face speaking practice. Thus, this study aimed to find out students’ preference of face-to-face speaking practice compared with Zoom-assisted speaking practice and the suggestions to meet the ideal speaking practice during the Covid-19 outbreak. The research method employed in this study was descriptive qualitative research in which it used open-ended questionnaires to gather data. The results showed that 61% of the students liked face-to-face speaking practice due to social interaction, the more comfortable atmosphere, practicality (no time constraint and no internet connection issue), and support for self-improvement (improving confidence, getting more knowledge, and easier to understand). Furthermore, some suggestions related to Zoom-assisted speaking practice were to make it shorter, be on time, and give more variation on discussion topics. In summary, face-to-face speaking practice is more preferred than Zoom-assisted speaking practice. Moreover, the suggestions to meet the ideal speaking practice during the covid-19 outbreak include Zoom with some class regulations that can save more internet data and make it more exciting.&#x0D; Keywords: EFL; speaking; Zoom application; Covid-19; pandemic