Reviewerly/exHarmony huggingface dataset:
Enhancing Students’ Speaking Skill through Debate Competition Technique

This article focuses on describing the use of debate technique to increase students’ speaking skill. The objectives of this study are to describe the implementation of debate technique in teaching speaking and to identify how much students’ speaking skill improvement after being taught by using debate technique, the problem faced by the students and the advantage of using debate technique in speaking class. This study is Classroom Action Research (CAR) which consists of Planning, Acting, Observing, and Reflecting. This research was managed in two cycles. The participants of this research were the seventh grade students in MTs Darul Falah Ternate, North Maluku. The instruments used in this research were observation and test. The result of this study showed that using debate technique can improve students’ speaking skill. This is proven by students’ test score that improved in every cycle. In the first cycle, the students’ mean score was 64,20 and in the second cycle was 80,33. Thus can be concluded that debate is an appropriate technique used to improve students’ speaking skill. The result of this study is beneficial for the teacher who teaches at this class and for all teachers in general to have more appropriate technique in teaching speaking for EFL students. The teachers should implement the innovative teaching techniques like debate technique in order can challenge students to be more active, think critically, foster higher student interest in learning, and motivate students to work, in accordance with the demands of learning in the era of disruption 4.0.
Infrared image super-resolution reconstruction based on closed-loop regression network

The wide application of the image super-resolution algorithms significantly improves the visual quality of infrared images. In this paper, an infrared image super-resolution reconstruction method based on a closed-loop regression network is proposed. The residual channel attention block is introduced into the up-sampling module group, which effectively improves the capacity of the network and increases the number of feature maps, enhances the extraction and recovery ability of infrared image features, and is conducive to the recovery of image details. Compared with other infrared information recovery methods previously proposed, the proposed method has obvious advantages in high-resolution detail acquisition capability. Neural network through closed-loop regression, this scheme overcomes the LR image to HR image defects in nonlinear mapping function, by introducing additional constraints on the LR data to reduce the space of the possible functions.
Respective Volumetric Heatmap Autoencoder for Multi-Person 3D Pose Estimation

Using heatmaps to predict body joint locations has become one of the best performing pose estimation methods, however, these methods often have the high demands for memory and computation, which make them difficult to apply into practice. This paper proposes an effective compression method to reduce the size of heatmaps, namely lies Respective Volumetric Heatmap Autoencoder(RVHA) to represent the ground truth heatmaps with smaller data size, then a RVHA-based pose estimation framework is built to achieve the human joint locations from monocular RGB images. Thanks to our compression strategy which takes each human joint volumetric heatmap as an input frame individually, our method performs favorably when compared to state of the art on the JTA datasets.
Fire Alarm Application with Short Message Service (SMS) and Arduino FOR Reminder Information Display System in Puri Permai Tbk Housing

Security disturbances do not only come from people who will do bad things but from other factors as well, for example the occurrence of fires which is a threat to us. Fire disasters can occur at any time regardless of time or place. The fire disaster will definitely cause damage, loss, maybe even casualties. If this happens in a government agency / office, then the loss incurred is the loss of important / valuable documents, thus affecting the implementation of daily tasks. So fire prevention and control is important. This prototyping method will produce a system prototype as an intermediary for developers and users in order to interact in the process of information system development activities. In order for the prototype making process to be successful, it is by defining the rules at an early stage, namely the developer and the user must have an understanding that the prototype was built to define initial requirements. When mQ2 detects smoke and the flame sensor detects a fire, then the buzzer turns on. Sim800l successfully sends a message when mQ2 detects smoke and the flame sensor detects a fire.
Fundamental Pattern of Human Resource Development: A Cognitive Neuroscience Approach

The heart of the organization is organizational resource management, and human resource development is of particular importance for today's competitive age. Many strategies have been prescribed for human resource development and various models, based on theories, have considered different dimensions for human resource development, but still, human resource development faces challenges due to the role of employees' understanding and decision in development. It is their self, their organization and their profession. Combining neuroscience with management and its influence on human resource practices can help to better understand how human resource development strategies are implemented. This research is of inductive-deductive type and has used the multi-grounded theory approach (Goldkuhl & Cronholm version) which is a combination of grounded theory and meta-synthesis approach. According to the multi-grounded theoretical approach, first 59 studies were selected from 453 related studies for meta-synthesis and the relevant codes were identified. The statistical population included all executive and academic experts familiar with the concept of human resource development and neuroscience. Sampling was done theoretically and then using 14 Semi-structured interviews in the form of multi-grounded theory, the final concepts and categories were extracted, which are the perceptual core of employees (including justice, ethics, creativity, motivation and trust), employees' performance body and Executive shell of human resource development process. The results confirmed that neuroscience can be used to promote the management and development of individuals more effectively and of course the application of neuroscience findings in human resource methods and processes is still in its infancy. However, it is a new perspective to continue research and implementation of human resource development.
Design of DDS Multi-waveform Generator Based on CPLD

Traditional Direct Digital Synthesis (DDS) waveform generators were usually completed by DDS chips, which were expensive and poorly customizable.This paper proposed a CPLD-based DDS multi-waveform generator design.DDS was independently developed and programmed by VHDL language.The system could be interfaced with PC.The system was mainly divided into two parts: upper computer and lower computer.The upper computer part mainly included the main interface design of the system, the sending of control commands and the receiving part of data.The sending and receiving of commands and data was realized by serial communication.The upper computer part was programmed by High-level programming language named DELPHI.The lower computer part mainly included DDS design part, the reception of control commands and the transmission of data, etc., the lower computer part mainly adopt VHDL language to be programmed in CPLD.The DDS design part mainly included the design of the phase accumulator, the design of the ROM, the design of the D/A part, and the design of the low-pass filter.The system could adjust the frequency of the output waveform by adjusting the size of the frequency word, and adjust the waveform shape of the system output by adjusting the internal data of the ROM.Simulation and experimental results showed that: the DDS multi-waveform generator designed by CPLD could achieve the expected goal, and the work effect was good.
Menumbuhkan Minat Baca Anak Sebagai Bagian Dari Gerakan Literasi Nasional Melalui Pembuatan Pojok Baca Desa Karangan

This community service is carried out by lecturers and students of the State University of Malang in Desa Karangan, Kecamatan Badegan, Kabupaten Ponorogo. There is one thing that is the focus of the community service work program in Desa Karangan, namely a low community literacy culture. The high number of school-age children is not accompanied by adequate literacy facilities. So that the literacy movement in Desa Karangan only relies on facilities and support from schools. This community service is carried out by lecturers and students of the State University of Malang in Desa Karangan, Kecamatan Badegan, Kabupaten Ponorogo. The creation of a reading corner aims to provide literacy facilities and form reading habits in order to increase reading interest as part of the literacy movement in Indonesia. The implementation of community activities begins with observation, then is carried out in stages, namely preparation, and evaluation. As an effort to establish reading in order to foster children's reading interest, assistance in reading activities is carried out in the reading corner of Desa Karangan, Kecamatan Badegan, Kabupaten Ponorogo. The result of this service is the growth of children's interest in reading in Desa Karangan, this can be seen from the high enthusiasm of the children during reading mentoring activities that are carried out every week. With this community service activity, it is hoped that it can foster children's interest in reading as an effort to activate the literacy movement in Indonesia.
Observing global cyber norms nationally - the case of critical infrastructure protection in South Africa

Does South Africa's cybersecurity for the protection of critical infrastructure meet global norms?By developing a case study which looks at aspects related to the implementation of UN cyber norms on responsible state behaviour at a national level, the paper contextualises the debates on global cyber stability in the national context of South Africa. First, it seeks to shed light on the geopolitical position of South Africa in the governance of cyberspace by reviewing its statements and the participation in cyber norms development and processes, such as the United Nations Group of Governmental Experts (UN GGE) and UN Open-Ended Working Group (OEWG) on responsible state behaviour in cyberspace, and other multilateral, regional and bilateral operations. Second, it identifies institutional, policy and regulatory enablers and constraints for the observation of the UN GGE norms. Finally, it provides specific points of policy intervention to bridge the gap between international commitments on cyber peace, justice and security, and the implementation of such principles at a national level. In order to understand how UN GGE norms adopted in 2015 are observed at a national level, the research zooms in on norms related to critical infrastructure protection and reporting on ICT vulnerabilities as the basis for the case study on the implementation of cyber norms nationally.Analysis of the cyber governance architecture in South Africa reveals that the national digital ecosystem is characterised by digital inequalities, a worrisome ICT threat landscape and the limited capacity of many South African stakeholders to technically, politically, and legally confront those threats. Technical, political and legal limited capacities are the three main reasons why it is difficult, nationally, to observe the implementation of cyber norms on the protection of critical infrastructures and on reporting on ICT vulnerabilities developed by the 2015 UN GGE. On the one hand, protracted cyber policy and legislation processes led to slow implementation and lack of both definitional clarity on critical national infrastructures and specific protocols to protect them. On the other, the multi-ministerial response to growing cyber threats is complex and uncoordinated. In this national context, reporting on ICT vulnerabilities does not follow acceptable practices on responsible vulnerability disclosure, compromising the capacity of the country to detect cyber threats and ameliorate harm.
Promoting the Construction of First-Class Chemistry Major by Taking the Opportunity of Certifying Normal Profession

Based on the concept of "Student-Centered, Outcome-based Education, Continuous Quality Improvement" for teacher certification, taking the chemistry major of Ludong University as an example, the measures and achievements of first-class professional construction in several aspects are introduced, such as the orientation of training objectives, the construction of curriculum system, the reform of teaching modes, the construction of curriculum politics, the cultivation of practical teaching ability and the improvement of teaching evaluation.The direction of continuous improvement is proposed.
Combining Attack Success Rate and DetectionRate for effective Universal Adversarial Attacks

In the framework of Adversarial Machine Learning, several detection and protection techniques are used to characterize specific attack-defense scenarios.In this paper, we present universal, unrestricted black-box adversarial attacks based on a multi-objective nested evolutionary algorithm able to incorporate the detection rate and a measure of image quality into the attack building phase.
코로나19 상황에서 재난분야 교수자를 대상으로 한 비대면 교육의 개선에 관한 조사연구

Purpose: Normal education operation was difficult in the national disaster situation of Coronavirus Infection-19. Non-face-to-face education can be an alternative to face to face education, but it is not easy to provide the same level of education. In this study, the professor of disaster management field will identify problems that can occur in the overall operation and progress of non-face-to-face education and seek ways to improve non-face-to-face education. Method: Non-face-to-face real-time education was largely categorized into pre-class, in-class, post-class, and evaluation, and case studies were conducted through the professor's case studies. Result&Conclusion: The results of the survey are as follows: First, pre-class, it was worth considering providing a non-face-to-face educational place for professors, and the need for prior education on non-face-to-face educational equipment and systems was required. In addition, it seems necessary to make sure that education is operated smoothly by giving enough notice on classes and to make efforts to develop non-face-to-face education programs for practical class. Second, communication between professor and learner, and among learners can be an important factor in non-face-to-face mid classes. To this end, it is necessary to actively utilize debate-type classes to lead learners to participate in education and enhance the educational effect through constant interaction. Third, non-face-to-face post classes, policies on the protection of privacy due to video records should be prepared to protect the privacy of professors in advance, and copyright infringement on educational materials should also be considered. In addition, it is necessary to devise various methods for fair and objective evaluation. According to the results of the interview, in the contents, which are components of non-face-to-face education, non-face-to-face education requires detailed plans on the number of students, contents, and curriculum suitable for non-face-to-face education from the design of the education. In the system, it is necessary to give the professor enough time to fully learn and familiarize with the function of the program through pre-education on the program before the professor gives non-face-to-face classes, and to operate the helpdesk, which can thoroughly check the pre-examination before non-face-to-face education and quickly resolve the problem in case of a problem.
Mengatasi Hambatan Pembelajaran IPS Dengan Metode Belajar Sambil Bermain Di Kelas IV SD Khazanah Ilmu

This study aims to overcome obstacles in the fourth grade social studies learning activities of SD Khazanah Ilmu using learning while playing. Through the method of learning while playing, educators and students can be actively involved with each other. Educators act as facilitators or who facilitate ongoing learning so that students get real and authentic social studies learning experiences. Obstacles in social studies learning activities for class IV SD Khazanah Ilmu are in the form of difficulties experienced by educators and students of education in implementing social studies learning activities. Therefore, this learning while playing method is adapted to the social studies learning material. So, the games used vary according to the material to be studied. Games that are adapted to the material will make it easier for students to understand social studies learning material, and there is no one game that can be used for all social studies learning material. In overcoming obstacles, social studies learning activities in Class IV SD Khazanah Ilmu can be done by applying learning while playing methods. Methods of role playing, playing puzzles, monopoly games, and traditional games of crank can be applied to social studies learning activities to replace lecture methods that are less effective but are still frequently used today. Through the application of this method, students can be more motivated to learn, practice communication, cooperation, and be responsible for learning.
Increasing Student Vocabulary by Using Guess Word Game

Vocabulary learning was a very important aspect for students when they are learning English. Students need new learning methods so they can enjoy the ongoing learning process. The teacher should also be able to convey the material well and using media appropriately. The purpose of this study was to determine whether song media can have a significant difference in increasing of students English vocabulary at seventh grade of MTs Darul Falah Islamic Boarding School Enrekang, and to find out whether the use of song media is more effective than the use of conventional media. The population in this study was 60 students. It consists of 2 classes and each class consists of 30 students. From the results of calculations at the time of the pre-test or before treatment, it was obtained the value of t0 = 1.517 &lt; tt = 2.001, which shows that both classes are worthy of study because they do not have a significant difference in increasing of students English vocabulary after being tested using the t-test, but after giving treatment and posttest values ​​obtained t0 = 3.201&gt; tt = 2.001, with a significance level α = 0.05 and df = n1 + n2 - 2 = 58, then t0 is higher than tt which indicates there is a significant difference in increasing of students English vocabulary between classes taught using guess word game a (experimental class) and classes taught using conventional media (control classes) after being given a pre-test, besides that the use of song media is more effective and has a significant effect than the use of conventional media.
Video Coding for Machine

Video coding systems, started for TV broadcasting services over satellite and cable networks with limited bandwidth, later on used for surveillance video and internet video, those target on higher compression ratio with lower quality lose, under the trade-off of RDO (rate distortion optimization) model, judged by human experts. In other word, current video coding standards are good for people, for human visual perception, not design for machine intelligence. However, today more and more applications from industry require video coding for machine, which targets to compress image and video for machine usage, object detection and or tracking, image classification, event analysis, and so on, those target on higher compression ratio with higher recognition accuracy, under the trade-off of RAO (rate accuracy optimization) model, judged by system. In this case, video coding needs to do feature compression, which preserves and transmits the most critical information for computer vision and pattern recognition, not for human visual perception. So it is quite different between video coding for human and video coding for machine, even if the two systems will coexist for a long time. In this talk, I will introduce the history of VCM, list some early works on pattern analysis based on compressed data domain, some efforts from ISO/IEC MPEG group on MPEG-7 CDVS (compact descriptor for visual search) and CDVA (compact descriptors for visual analysis), some ongoing projects on AVS working group and MPEG working group, give the key techniques and challenges on VCM, and overview its future.
Novel method to pick P waves based on a grey rational analysis

For monitoring the earthquake ground motion, it is essential to rapidly and accurately detecting P waves' arrival in the seismic signal. To detect the seismic events and pick phases' arrival, some traditional methods are based on the statistical theory, such as the short-term average and long-term average ratio (STA/LTA) method, the modified energy ratio (MER) method and the Akaike information criteria (AIC) method. However, when the seismic event occurred, the ground motion signal no longer obeys the normal distribution, and the probability distribution of the seismic signals is unknown or uncertainty. Due to these problems, the traditional methods are limited to pick P waves. A new P waves' picking method is proposed based on grey relational analysis. The method depends on the grey relational coefficients, which are calculated by a known template and the seismic signal. The grey relational coefficients represent the similarity between a chosen template and the seismic signal. The grey relational coefficients' changes represent the P waves' arrival. Therefore, by calculating the grey relational coefficients, the P waves can be detected with a given confidence level. Through the sample analysis of Wenchuan Ms.8.0 Earthquake's main-shock and its aftershocks, by the grey relational analysis (GRA) method the P waves' picking mean error is 0.02s and its variance error is 0.053s respectively, which performs better than the mean error (0.09s) and variance error (0.18s) by the AIC method. To verify the robustness of the GRA method some random noises were added to the original seismic data, and the P waves' picking were performed by both the GAR method and the AIC method. Then the variance error of the GRA method increased to 0.10s, which is also less than the variance error (0.22s) by the AIC method. The simulation results shows that the GRA method not only provides the better accuracy than the AIC method, but also is suitable for the continuous seismic signals. The GRA method is based on the non-statistical theory and will be a beneficial attempt for the EEW system.