Reviewerly/exHarmony huggingface dataset:
PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition

Face recognition networks encode information about sensitive attributes while being trained for identity classification. Such encoding has two major issues: (a) it makes the face representations susceptible to privacy leakage (b) it appears to contribute to bias in face recognition. However, existing bias mitigation approaches generally require end-to-end training and are unable to achieve high verification accuracy. Therefore, we present a descriptor-based adversarial de-biasing approach called `Protected Attribute Suppression System (PASS)'. PASS can be trained on top of descriptors obtained from any previously trained high-performing network to classify identities and simultaneously reduce encoding of sensitive attributes. This eliminates the need for end-to-end training. As a component of PASS, we present a novel discriminator training strategy that discourages a network from encoding protected attribute information. We show the efficacy of PASS to reduce gender and skintone information in descriptors from SOTA face recognition networks like Arcface. As a result, PASS descriptors outperform existing baselines in reducing gender and skintone bias on the IJB-C dataset, while maintaining a high verification accuracy.
Research on the Application of Language Proficiency Scale in College English Interpretation Teaching

In the current teaching of English interpreting in colleges and universities, teachers need to combine the specific content specified in the language proficiency scale included in the CSE as much as possible to implement targeted teaching and training for students, so that students can maximize after completing their studies. Invest in the relevant professional work management process to the limit. This article briefly analyzes and discusses the application of the language proficiency scale in oral English teaching in colleges and universities, and gives corresponding insights.
Control the Information of the Image with Anisotropic Diffusion and Isotropic Diffusion for the Image Classification

Humans can recognize objects well even if they only show the shape of objects or an object is composed of several components. But, most of the classifiers in the deep learning framework are trained through original images without removing complex elements inside the object. And also, they do not remove things other than the object to be classified. So the classifiers are not as effective as the human classification of objects because they are trained with the original image which has many objects that the classifier does not want to classify. In this respect, we found out which pre-processing can improve the performance of the classifier the most by comparing the results of using data through other pre-processing. In this paper, we try to limit the amount of information in the object to a minimum. To restrict the information, we use anisotropic diffusion and isotropic diffusion, which are used for removing the noise in the images. By using the anisotropic diffusion and the isotropic diffusion for the pre-processing, only shapes of objects were passed to the classifier. With these diffusion processes, we can get similar classification accuracy compared to when using the original image, and we found out that although the original images are diffused too much, the classifier can classify the objects centered on discriminative parts of the objects.
LEARNING STATISTICAL METHODES WITH ONLINE ONLINE COURSE

Today's business has become something complex. Various factors interact with each other and make business unpredictable. Research is an effort to develop knowledge, develop and test theories. The research objective is an effort to develop knowledge, develop and test the theory. Research activities in practice are likely to include multidisciplinary research and a combination of the application of multiple research methods. In practice, research can be carried out in multi-disciplinary and is a combination of several research methods. The function of research is to find explanations and answers to problems and to provide alternatives to the possibilities that can be used to solve the problem. On that basis, a systematic method is needed in overcoming various problems that arise in the business. The business research method is a systematic method that is useful for researching various aspects related to business. Statistics and research methods training aims to provide a better understanding of business research. The research methods discussed in this training are Structural Equation Modeling (SEM) and Soft System Methodology (SSM). This community service activity produces changes following the set output targets, increasing participant knowledge to help compile business research. The results of the evaluation of the implementation of training in business research methods for students, lecturers, researchers, and practitioners, show that the level of understanding becomes better after attending the training and has the motivation to conduct research with quantitative and qualitative approaches. Participants can also run the SEM LISREL application independently.
Development of Method for Visualizing Behavioral States of Teams

Visualizing behavioral states of teams is useful when providing effective reflection on teamwork for team members, monitoring and intervening teams, and analyzing team processes for teamwork researchers. This paper aims to develop a method to visualize behavioral states in meeting settings. We assumed that team processes follow several periods where behavioral states are stable and tried to detect these periods by focusing on change of communication patterns and facial expression. Detailed methods of detection and subsequent visualization are provided. We then test our method by comparing visualized team states in an idea generation workshop with qualitative observation of its team process. The result shows our method can effectively express some team states and provides viewpoints for more rigid quantitative verification.
Hashing and Message Authentication Code Implementation. An Embedded Approach

There are different methods by which a message hashing could be embedded in a communications network, therefore different approaches are described in this research to protect the hash value of a message. The structure of a cryptographically secure function (SHA-512) is presented along with the low-level algorithm sequence. Subsequently is detailed the Hash-based Message Authentication Code (HMAC) produced by concatenating a secret key and message, after which the composite message is hashed. However, the HMAC numerical structure and the specific operating algorithm are explained in detail to the logical gate level. Finally, several considerations regarding the low-level implementation of the code are concluded.
Linguistic Manipulation by Scammer as Cyber Crime: Viewed from Law and Education

Cybercrime on emails or other social media is now drawing careful attention to the academics and police.Such issue is not new to the police but it might be new to academics.Many people might be easily cheated on the language used by the scammer when they are influenced by the scammers' manipulation language.This study employed a qualitative analysis.a content analysis is used as the method of the study.The result of the study is that the language used by the scammer is very much convincing.The scammers persuaded and manipulated the language to deceive their victims.It is highly suggested that academics should also pay a careful attention and educate other people by spreading a clear information to their students or doing socialization to the society in community service program.This way can also help the police to reveal the crime spread on cyber world.
Digital innovations in cinematographic practice at the early 21st century: the case of The Mandalorian

During the history of filmmaking, film industry has been innovating to overcome the challenges demanded by the stories wanted to be told. These technical innovations always came from the hand of new discoveries, technological developments and above all, from the craftsmanship and creative work of the pioneers of cinema, who with their hands created new procedures to achieve the right cinematic image to convey the sensations and feelings that the film diegesis required. From the evolution of silent to sound films, going through the use of chroma key backgrounds and their historical development to the application of background systems with big scale circular screens that reproduce synthetic moving image rendered in real time, built and reproduced by video game engines such as Unreal Engine, this paper proposes a historical journey through these technical evolutions, as well as delving into the new procedures and innovations with which film industry starts working currently, through the case study of The Mandalorian (Favreau, 2019-2020), the latest production of the Star Wars transmedia franchise (Lucas, 1977-present).
Experimental Quantum-enhanced Reinforcement Learning

In reinforcement learning, a key question for applications is how fast agents can learn. By introducing an agent capable of interacting classically as well as quantum-mechanically with its environment, we experimentally prove that a speed-up in the agent’s learning time is possible.
Perancangan Aplikasi Smart Zonasi Berbasis Location Based Service (LBS) SMAN di Kota Depok

The principle of the zoning system, which regulates regional zones for prospective students, is to bring the student's domicile closer to the school, where zoning is determined at every level by the Regional Government following its authority. In implementing zoning, it is important to pay attention to the amount of available capacity according to the availability of the number of school-age children at each level in the area. Depok City has 13 public high schools spread over 11 sub-districts that can accommodate 3,858 junior high school graduates. This became disproportionate to the number of outputs or junior high school graduates who were more than the available capacity. Based on the use of LBS technology, it was hoped that it would be easier to obtain information on the distance from the user's domicile to the destination school, where in the Depok there are 13 State Senior High Schools that are the reference. In designing the Location Based Services (LBS) application, SMAN Depok City used case diagrams, navigation structure designs, storyboards and database designs. The page design and database design results were expected to be used as a guide for programmers in making applications.
Inovasi Pembelajaran Pantun Berbasis Kearifan Lokal

Pantun is a type of old poem that is written and usually uses a tone or song. Pantun consists of the elements of a sentence of four lines in a verse, which is based (a-b-a-b). Usually the first row and the second row are sampiran, the third and fourth rows are the contents. This research aims to test the effectiveness of an innovation of learning based on local wisdom pantun namely by using a dictionary of courses. This research is categorized into experimental research types. The method used by researchers in this study is quasi experiment with one group pretest posttest design model. The population is all students of class V sdn 331 Borongtellutahun 2020/2021. The population numbered 30 people as well as a sample of the study. This study uses tests to find out the ability to write the student guide The test is given twice, namely pre-action and post-action. The data in this study were analyzed using statistical techniques inference design analysis, simple linear regression. Based on the results of this study, it can be concluded that the results of learning to write pantun students of grade V SD Negeri 331 Borongtellu using conventional techniques is an average of 67.74 in the range of 10-100 grades with a moderate category. After being treated using rhyming dictionaries and lateral thinking, the student's learning outcomes averaged 79.33in the range of grades 10-100 with a high category. Thus the use of rhyming dictionaries and lateral thinking effective in improving the results of writing local wisdom-based pantun learning in grade V students of SD Negeri 331 Borongtellu, because the t-count /empirical value is greater than the table/theoretical t-value (14.27&gt;1.6709).
The reality of social studies Teachers Awareness regarding the notion of augmented reality technology and the strategy of its usage in teaching to develop geographical phenomena from the social studies teachers perspectives: واقع وعي معلمي ومعلمات الدراسات الاجتماعية بمفهوم تقنية الواقع المعزز واستراتيجية استخداماتها في التدريس لتنمية الظواهر الجغرافية من وجهة نظرهم

The aim of the study was to learn about the use of augmented reality technology to understand and develop geographical phenomena from the point of view of social studies teachers. To achieve the objectives of the study the researchers have used a descriptive approach. An augmented reality questionnaire was applied using the augmented reality technology on a random sample consisting of sixty-six participants all of them are social studies teachers of both genders from Al-qunfudhah province, and in order to calculate the degree of use of augmented reality which was used by social studies teachers the arithmetic averages were used. The study presents the following results: The degree of reality in the use of augmented reality that social studies teachers have been used in Al-qunfudhah province, came in a high degree but close to average with an average arithmetic 2.09. As well as the degree of impediments in the use of augmented reality came in a high degree with an average arithmetic 2.40. In the light of the findings of the study researchers have recommended to stress the importance of the use of augmented reality technology in teaching and the need for drawing the attention of the ministry of education's officials to encourage and urge the teachers to use it,building computer-based educational programs based on augmented reality technology,work on overcoming the impediments that limits the use of augmented reality and its impact on both teaching and learning process.Besides achieving positive outcomes through using it.
What Went Wrong?

Governments should create IT accident investigation boards for the exact same reasons they have done so for ships, railroads, planes, and in many cases, automobiles. Denmark got its Railroad Accident Investigation Board because too many people were maimed and killed by steam trains. The UK's Air Accidents Investigation Branch was created for pretty much the same reasons, but, specifically, because when the airlines investigated themselves, nobody was any the wiser. Does that sound slightly familiar in any way?
Academic Fraud Behaviour of Accounting Students: The Investigation Using Fraud Pentagon Theory

Academic fraud is a phenomenon that occurs in the education field.It happens in every level including in the education of prospective accountant students.That phenomenon contrasts with the purpose of education, which is to produce professional accountants and ethical behaviour.This research aims to investigate the fraud behaviour in academic environment that is done by the university students.To investigate the fraud, this research used fraud pentagon theory.This study is a qualitative research with using case study approach.The data is collected by observing and interviewing ten accounting students from two universities in Magelang.The result of this study shown that academic fraud can occur in every universities.This act of academic fraud by students was caused by several elements based on Fraud Pentagon Theory Those elements are pressure, opportunity, rationalization, competence, and arrogance of academic fraud perpetrators.
VIDEO CONTROLLING USING HAND GESTURES FOR DISABLED PEOPLE

Among many computer visions based interactive systems, designing hand gesture and facial expression basedHuman-Computer-Interaction (HCI) system retains to be a highly challenging task.Our main purpose is to find a non-tangible way to interact with the computer.Our project aims at developing a video-player controlled by the human hand gestures by making use of Convolutional Neural Network (CNN).The gestures would serve as the direct command for operations such as play or pause the video.It uses simple gestures to control the video.So people don't have to learn the machine like skills and only need to remember a set of gestures to control the video playback.
A collaborative ontology development framework for enabling multidisciplinary knowledge constructions

In finding a business solution, a collaboration of domain experts is one of the global challenges in a multidisciplinary research group. Multidisciplinary knowledge is essential for solving complex business problems. Stakeholders or domain experts publish and share their knowledge from different backgrounds in order to solve those problems. For stakeholders to work together and efficiently describe and share their knowledge, they can use ontology as a formal knowledge representation. Ontology describes knowledge as a set of concepts and their relationships within a specific domain. Several frameworks have been implemented for ontology development. However, most of those frameworks lacks of collaborative capability, which is one the challenging task to support collaborative activities among different stakeholders (e.g. domain experts, knowledge engineers, application users, etc.) through the development cycle.This dissertation presents a collaborative environment with supportive features enabling multidisciplinary knowledge co-creation, called a community-driven ontology-based application management (CD-OAM) framework. The framework intends to detect existing polysemantic words in discussion contexts of the stakeholders and to suggest cross-disciplinary concepts to each discipline (e.g., environmental protection, economics, or sociology). In addition, the framework’s features provide crucial services: discussion forum for misunderstanding diagnosis, cross-domain concept detection, and ontology visualization.To show exploitation of the framework, a case study demonstrates a number of ambiguous terms arise within contexts of discussion underlying a sustainable development paradigm that involves three primary disciplines: environmental protection, economic growth, and social equity. The collaboration feature suggests the stakeholders by arising polysemantic words in discussion contexts, and then the ontology development feature detects cross-disciplinary concepts. Therefore, the main contributions of this research are providing a framework for detecting essential concepts that contain cross-disciplinary concepts and recognizing the stakeholder’s understanding of multidisciplinary knowledge.
Thesis on Machine Learning Methods and Its Applications

Abstract: In the 1950s, the concept of machine learning was discovered and developed as a subfield of artificial intelligence. However, there were no significant developments or research on it until this decade. Typically, this field of study has developed and expanded since the 1990s. It is a field that will continue to develop in the future due to the difficulty of analysing and processing data as the number of records and documents increases. Due to the increasing data, machine learning focuses on finding the best model for the new data that takes into account all the previous data. Therefore, machine learning research will continue in correlation with this increasing data. This research focuses on the history of machine learning, the methods of machine learning, its applications, and the research that has been conducted on this topic. Our study aims to give researchers a deeper understanding of machine learning, an area of research that is becoming much more popular today, and its applications. Keywords: Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Big Data.
Ethical Challenges of Digital Technologies in Covid-19 Pandemic Management

The infectious disease caused by SARS-CoV-2 virus has spread rapidly worldwide, just 48 days after the first case appeared in China (January 30, 2020), becoming a major public health problem.1/3 of the world's population has been forced into quarantine, the pandemic causing massive restrictions and consecutively substantial social, psychological and economic harms.Researchers and experts have highlighted the benefits of various digital resources use, with the aim of collection, analysis and correlation of individual data as strategy in the management of the COVID-19 pandemic.Digital surveillance is accompanied by legal and ethical risks and concerns, thus civil rights organizations and data protection authorities are highlighting the risk of intensified digital surveillance even after the pandemic situation.They emphasize the need to meet basic conditions (legality, proportionality of data processing) but also the need for social justice and equity that must not be overlooked in the urgency of this crisis.The digital sources used in response to this pandemic include data from telephone towers, various mobile phone applications, Bluetooth connections, video surveillance, and more.We identified four main categories of digital technologies used to manage the pandemic: proximity and contact tracking, symptom monitoring, quarantine control, and individuals flow monitoring.Although digital technology seems to demonstrate its importance in flattening the incidence curve of SARS-CoV-2 virus infection, notable technical limitations have also been emphasized, such as accuracy, data quality and last but not least the existence of risks related to cybersecurity.
Pengaruh Media Pohon Aksara terhadap Hasil Belajar Siswa Mata Pelajaran Bahasa Jawa Kelas IV SD

In the implementation of this research, it was found that there are still many obstacles faced by students, the background of this research is the lack of student learning outcomes in studying Javanese script and the low understanding of students in learning Javanese script so that the learning achievement of fourth grade students is lacking. In this research, the method used is quantitative method with experimental type with pretest posttest nonequilvalent group design design. Collecting data in the form of observations, tests and documentation. The tests used are pretest and posttest. The population of this study were fourth grade students of SDN Karangbanyu 3 with fourth grade students of SDN Sidolaju 3 and used samples of IV B control class and IV A experimental class. The prerequisite test used is the homogeneity test to see the similarities between the two groups and the data analysis technique using the independent sample t-test test was tested with SPSS 17.0 software. The results of this study show the difference between the experimental class and the control class, including the average value the experimental class posttest was 73.89 and the average value of the control class was 70.90 while the t-test of the experimental class posttest resulted in a Sig value. (2 tailed) 0.003 &lt; 0.05 and the control class posttest value resulted in a Sig. (2 tailed) 0.002 &lt;0.05 so it can be concluded that there is a difference between the experimental class and the control class, so Ha is accepted and H0 is rejected. From the results of the overall research data, the media script tree is effective in improving learning outcomes of Javanese script in fourth grade elementary school.