Reviewerly/exHarmony huggingface dataset:
Researching Video Conference Services on IEEE 802.11x Wireless Networks

The purpose of the study was to determine the dependence of the quality of video conferencing services on the characteristics of wireless communication channels and the number of users in a given network. The characteristics of the signal strength in a wireless network, measured in decibels (dB) were described in this article. The article discusses subjective and objective methods for assessing video. The PSNR and VQM metrics and the MSU Video Quality Measurement Tool software, created by the computer graphics laboratory of the Moscow State University, were used as an objective method for assessing video. For the subjective method, the DSCQS method was used. The PSNR (peak signal to noise ratio) metric is one of the most commonly used metrics. PSNR measures the peak signal-to-noise ratio between the original signal and the signal at the output of the system. PSNR does not measure all video-specific parameters, as the fidelity of the image is constantly changing depending on the visual complexity of the image, the available bit rate and even the compression method. The Video Quality Measurement (VQM) metric is described in Recommendation ITU-R BT.1683. The test results show that VQM has a high correlation with subjective methods for assessing video quality and claims to become the standard in the field of objective quality assessment.
RANCANGAN SISTEM ADMINISTRASI KEUANGAN RT 004 RW 013 DESA WARINGIN JAYA BOJONGGEDE

The research objective was to find out what kind of system used in processing the existing finance on Rt.04 Rw. 13 Desa Waringin Jaya and the obstacles faced in implementing the application. In addition, the authors hope that readers can understand the use of an application, especially the financial administration system. The research method used by researchers is the Extreme Programming (XP) method, which is a method that includes several rules in practice, consisting of planning, design, implementation / coding and test. During the study the authors found that at Rt. 04 Rw. 13 Desa Waringin Jaya does not yet have an effective and efficient financial administration system. After conducting the research, the authors gave conclusions, especially Rt. 04 Rw. 13 Desa Waringin Jaya requires a computerized system that is effective and efficient so that it can help the treasurer work. The author makes a system, namely the Financial Administration Application Rt. 04 Rw. 13 Waringin Jaya Village based on Java SE.
Gestión de la educación: un tema de obligatoria discusión en pandemia

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Improving Pronunciation for Non-Native Speakers Using Neural Networks

While learning a new language through the internet or applications, a lot of them focus on teaching words and sentences and do not concentrate on the pronouncing ability of the users. Even though many speakers are proficient in a language, their pronunciation might be influenced by their native language. For people who are interested in improving their pronunciation capabilities this proposed system was introduced. This system is primarily focused on improving the pronunciation of English words and sentences for non-native speakers i.e., for whom English is a second language. For a given audio clip, we scale the audio and extract the features, input the features to the model developed and the output of the model gives the phonemes that are spoken in the clip. Many models detect phonemes and various methods have been proposed but the main reason for choosing deep learning is that the learning and the features that we tend to oversee or overlook are picked up by the model provided the dataset is balanced and the model is built properly. The features to be considered varies for every speech processing project and through previous research work and through trial and error we choose the features that work best for us. Comparing the phonemes with the actual phonemes present, we can give the speaker which part of their speech they need to work on. Based on the phoneme, feedback is given on how to improve their pronunciation.
Wireless Music Playing Buzzer Sensor-Assisted Music Tone Adaptive Control

Aiming at the problem of adaptive change of auxiliary music tones, this paper proposes a MAC protocol with a common music tone listening/sleeping type based on a wireless music buzzer sensor. First of all, the new MAC protocol adopts network-wide synchronization, and all sensor nodes in the entire network use the same scheduling table, so that the entire network nodes enter the music tone listening period and the sleep period at the same time. Secondly, the node adaptively adjusts the duty cycle of the node according to the number of data packets in the sending queue, increases the node’s music tone listening time, reduces the end-to-end delay of data packets, and improves the throughput of the network. Then, the experiment adopts a new backoff strategy to adjust the contention window according to the backoff times and collision times of data packets sent by nodes in the last five working cycles, increase the backoff time of sending data packets under high network load, and reduce the appearance of data packets. We build four simulation experiments on the NS2 simulation platform: unassisted music tone adaptive network, single auxiliary music tone adaptive network, auxiliary music tone adaptive convergence network, and random deployment network, which will be based on the auxiliary music tone adaptive MAC protocol, and IEEE802.11 protocol and SMAC protocol are run in four simulation experiments, respectively, and the performance of the three protocols is analyzed according to the tracking files in the simulation experiment. The analysis results show that the simulation wireless sounding buzzer sensor network is adaptive to different auxiliary music tones and different topologies.
Sistem Pakar Diagnosis Penyakit Ayam Broiler Berbasis Web

Mr. Jumaldi Jani, SP., MM Broiler Chicken Farm is a chicken farm that was founded in 2013. In carrying out its business processes, handling of raising and developing poultry is only handled by one person who is taken as the farm supervisor. This is very ineffective in handling diseases that attack chickens because the knowledge of the maintenance and handling of chickens that have disease is only owned by one person. The purpose of this study is to create a Web-Based Chicken Disease Diagnosis Expert System, which can be accessed easily, quickly, economically, can be done anytime or anywhere without knowing the distance and time. The method used in this research is web engineering which has stages: customer communication, planning, modeling, construction and deployment. The establishment of a Web-Based Broiler Chicken Disease Diagnosis Expert System is expected to facilitate the public about conducting consultations on Broiler chicken disease easily, quickly, and economically, it can be done anytime and anywhere without looking for distance and time.
Practical aspects of using the methods of critical thinking in the philological training of future primary school teachers

The article presents in detail the practical aspects of using the methods of critical thinking in the philological training of future primary school teachers. The subjects of the philological cycle include the following educational components: oral and written communication and academic rhetoric, foreign language for professional purposes, children's literature with the basics of literary criticism, modern Ukrainian language with a workshop, teaching methods of language and literature education, speech culture with expressive reading workshop, national education in primary school in language and reading lessons. It was proposed to use different methods: methods of working with different types of texts, visual methods and techniques for organizing information, posing questions, methods of reflection, etc. The examples of tasks on the educational components of the philological cycle are given, which make it possible to effectively use the methods of critical thinking for its formation in the process of professional training. The most effective methods in the preparation of future primary school teachers are determined: conducting discussions, project activities, a self-assessment sheet, the use of semantic and graphic organizers, etc.
A Minimum Spanning Tree-based Routing Technique of FAT Tree for Efficient Data Center Networking

Data centers (DCs) have become the critical and irreplaceable infrastructure to drive this ever-growing trend because of the exponential expansion of Internet services. In general, DC has several data &amp; storage nodes connected by a network that is specially built, called Data Center Network (DCN). DCN functions as a communications backbone also play a significant role in maximizing the operation of DC. However, the infrastructure and operations are very difficult in comparison with the conventional network compared with unique DCN specifications, including a wide range of applications, high power density, and high reliability. In this paper, the Bellmanford MST algorithm is used for FAT-tree-based routing. The main characteristic of the FAT Tree is that the links which are used for connecting nodes from different levels may have different bandwidth. The Bellmanford algorithm used here is the shortest path algorithm which provides a reliable and short path for the route nodes to travel which provides fewer time complexities in data center networking.
New Textual Authentication Method to Resistant Shoulder-Surfing Attack

Using textual passwords suffer from the balance between security and usability.Password policies are usually adopted by system administrators to force users to choose strong passwords.However, users often use a simple password to make it easy to remember, which reduces the password strength and make it vulnerable to information security threats.When users enter their passwords in public places like airports or cafes, they become exposed to shoulder surfing attacks which are considered as a kind of social engineering.With a little effort, an attacker can capture a password by recording the individual's authentication session or by direct observation.To overcome this vulnerability, we propose a new textual-password approach that uses camouflage characters and a virtual keyboard which leads to generating strong and easy to remember passwords.The perspective of usability and security was evaluated by experimental studies conducted with 65 users and then compared with recent studies.The results showed that the proposed technique has the lowest shoulder surfing success rate with just 3.63% with reasonable usability.
Acknowledgment to Reviewers of Minerals in 2020

Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Minerals maintains its standards for the high quality of its published papers [...]
Construction of Basketball Short Video Bloggers Based on Fan Culture Research - An Example of Tiktok Video Team Wild Basketball Team

In recent years, with the all-round application of Internet technology and the trend of using fragmented time, the short video industry has developed rapidly with the help and support of capital.With the promotion of pop-up applications such as Tiktok, Kuaishou and WeSee and the boom of various industries entering the short video field, the industrialisation of basketball has developed rapidly and basketball-related videos have gained a lot of attention, giving rise to many basketball bloggers and generating clusters of millions of fans.Based on this, this paper adopts the literature method and questionnaire method, hoping to get the corresponding results by understanding literature on basketball fan culture, analyzing the explosive basketball bloggers and interpreting the data.After literature review and questionnaire analysis, this paper summarizes the remarkable characteristics of basketball fan culture in the short video era, including identity and cultural identity, entertainment empathy, learning drive, identity consumption, and idolize culture, and puts forward some relevant suggestions on the creation of basketball short video according to the basketball fan culture.It is evidently clear from the findings that a unique style and attention to high-quality content is better ways to adapt to the development of the short video era.In this way, sports short videos can gather a large number of fans' attention and develop better.
PENERAPAN METODE FUZZY MAMDANI DALAM MENENTUKAN HARGA JUAL PONSEL PINTAR BEKAS (STUDI KASUS PADA KAYYIS CELLULAR DEPOK)

This study discusses the application of fuzzy logic in determining the selling price of used cellphones with a case study on Kayyis Celluler Depok. This study was conducted to find out how to determine the selling price of used smart phones using the Mamdani fuzzy method approach. There are 4 fuzzy variables that will be modeled in this study, consisting of 3 input variables, namely the condition of the cellphone, market price, and cellphone accessories, and 1 output variable, namely the selling price of used cellphones. The inference process in the application of fuzzy operators uses the MIN implication function. Furthermore, the composition of all fuzzy outputs is performed using the max method. Then, confirmation or called defuzzification is done using the Centroid method.
Dehumanization, Hate Speech, and Violence in Right-Wing Extremist Environments

On November 24, 2021, Dr. Lisa Kaati, senior researcher at the Swedish Defence Research Agency, presented Dehumanization, Hate Speech, and Violence in Right-Wing Extremist Environments at the 2021 CASIS West Coast Security Conference. The presentation was followed by a group panel for questions and answers. Main discussion topics included extremists’ use of social media to justify and incite violence.
Sculpture of Panchayan Deities of National Museum: An Illustrative Stone Work of Nepal

Historical evidence proves the history of sculpturing art is as old as the history of human beings. The findings of stone sculpture and other forms of art from the different prehistoric sites of Europe, Africa and Asia have strongly supported the above mentioned acquaintance. It means the tradition of sculpturing stone art has evolved from the pre- historic culture in the world. Likewise, the tradition of creating stone sculpture and other forms of stone art also existed from the pre- historic age in Nepalese society. It is justified through the findings of hand axes and other different art objects which are being displayed in the National Museum. There are some noteworthy illustrations of Nepalese stone art in different museums abroad and in Nepal as well. Out of Nepalese stone sculptures, Panchayan deities of the national museum are considered an important specimen through religious, cultural, style, skill and technological perspectives. In this stone panel the figures of Shiva, Vishnu, Surya, Ganesh and goddess have been depicted. In Nepal, there are plenty of sculptures and paintings of these gods and goddess in single and with their families as well. But such a sculpture of this kind which has been exhibited in the stone work section of the national museum is very rare. Therefore, it is claimed that the panel is one of the important sculptures of Panchayan gods of Nepal. In this article, regarding the different issues of such sculptures going to be examined.
Penerapan Algoritma Aprioti Pada Riwayat Data Kecelakaan Lalu Lintas

With the increase of vehicle users, traffic accidents tend to happen more often. One of many ways to minimize the occurrence of traffic accidents is to process accident data history using data mining techniques. This technique is utilized in order to gain information regarding the relational pattern of traffic accidents. The data mining technique used is the association rule technique with the Apriori algorithm. One of the stages of analysis that has attracted the eyes of many researches to produce an efficient Apriori algorithm is analyzing the frequency pattern of an association that can be identified with two benchmarks; Support and Confidence. Currently, the determination of the minimum support value will be repeated by the user until it reaches a positive correlation value. This study applies a certain method to determine the minimum support value with the final result of achieving positive correlation on all datas as a reference for the lift ratio value &gt;1 and getting 6 of the most frequent traffic accident patterns
Analysis of Flood Disaster Mitigation Policy in Lamongan District

Flood is a frequent disaster in Indonesia, so it is an important public administration problem to overcome. This study aims to determine the flood disaster mitigation policy in Lamongan Regency. By knowing and analyzing this flood disaster mitigation policy, alternative policies are prepared that can be recommendations for the Lamongan Regency Government, especially the Regional Disaster Management Agency. Determination of policy alternatives uses 5 (five) stages in policy analysis according to Brigman &amp; Davis, namely formulating problems in policy, determining goals and objectives, determining policy parameters, seeking policy alternatives, and deciding alternative options. The purpose of this study is to formulate and determine the best policy alternatives to overcome problems in the implementation of flood disaster mitigation in the Lamongan Regency. The research method is carried out by analyzing data through supporting documents, journals, books, and other references. The study results indicate that current policy problems have not led to flood disaster mitigation, but rather 'wait' until the flood disaster occurs, then the Government and BPBD Lamongan Regency only act by assisting flood victims. The proposed alternative policy is the prevention, handling, and recovery of flood disaster mitigation in the Lamongan Regency area with community participation.
Analisisi Efisiensi Penggunaan Data Berbasis Digitalisasi Dan Keamanan Arsip pada PT Angkasa Pura II Jakarta Periode 2019 – 2020 (24 Bulan) (Studi Kasus Dimasa Pandemi Covid-19)

Technological advances in the 4.0 era have made digitalization technology develop more rapidly where information can be obtained more quickly and this of course has an impact on the efficiency of data use in the company. This study aims to analyze the efficiency of data use based on data digitization and archive security at PT Angkasa Pura II, during the Covid-19 pandemic. The method used in this study is causal associative with multiple linear regression analysis, classical assumption test and hypothesis testing. The sample in this study uses digitized data, data security and frequency of data usage. The results of this study are data digitization (X1) shows a significant effect on the efficiency of data use (Y). Archive security (X2) shows a significant effect on the efficiency of data use (Y). Furthermore, data digitization and archive security simultaneously have a significant effect on the efficiency of data use. Statistically, the coefficient of determination with an R-square value of 0.489 indicates that the contribution of data digitization and archive security to the efficiency of data use is 48.9% and the remaining 51.1% can be explained from other variables. It can be concluded that with the development of digitalization technology, it is easier for people to use data. The development of digitalization technology, both directly and indirectly, has affected the company's performance which is becoming more efficient in the use of its data so that it has an impact on faster information obtained that can support the decision-making process in a company.Keywords: Digitization, Archive Security, Data Use Efficiency
COVID-19 as a Wicked Problem

Chapter 13 describe COVID-19 as a wicked problem and show how different CI-mechanisms have been used to cope with the pandemic. The first CI-mechanism is the transparent information flows during the pandemic. Knowledge is being shared at a rapid pace in the global online setting. Most of the big news sites provide citizens with updated statistics on the spread of the virus. Another example is the governmental “test and trace”-strategy that aims to maximize information about the spread of the virus at all times. A second CI-mechanism is citizen responsibility. Citizens in all countries have faced the challenge of complying with behavioral rules enforced by the government. Rules on social distancing and voluntary quarantines depend on citizen cooperation. Here, New Zealand stands out as one of the most successful countries. Third, collective learning at a system level has been important in dealing with the pandemic. One example is South Korea who learned a lot from the Middle East Virus (MERS) in 2015 a couple of years before the COVID-19 outbreak. Their past failure in coping with that outbreak, made them much better prepared than other countries.
A Special Strategy for Quadrotors in Aggressive and Singularity-Free Tracking

Abstract Quadrotors are a popular type of unmanned aerial vehicles (UAVs) that have been widely used and extensively researched in recent years. Quadrotors, while exhibiting high agility in maneuvering, generally lack stability. There exist several types of instability in modeling and control of quadrotors. During an aggressive maneuver process, a traditional quadrotor model developed based on Euler angles may encounter singularities due to the Euler sequence. This type of instability can be avoided via quaternion-based modeling. Although quaternion-based models can eliminate the singularities due to the Euler sequence, there still exist other types of singularities for maneuvers in head-direction and thrust-direction. A UAV usually equips with a camera or other type of sensing device, which is mounted on the front or top of the U AV and which points towards the forward direction. Keeping those sensing devices pointing at the desired orientation can be a difficult task because the definition of reference heading direction vector introduces singularity and renders the mixer of the quadrotor saturated. As a result, the UAV becomes unstable. In this article, a special strategy in dealing with the head-direction-induced singularity and saturation is proposed. In this strategy, pre-yawing is adopted when a quadrotor’s current heading direction is approaching singularity. As shall be shown, by pre-yawing before the quadrotor passes through the singularity, the quadrotor can converge toward the heading direction faster after exiting the singularity. Also, the pre-yawing strategy can reduce or avoid mixture saturation by reducing the feedback error. Consequently, the proposed strategy can also reduce the deviation from the desired trajectory. The benefits of this new control strategy in tracking are demonstrated through comparison with existing quadrotor models in the literature.