Reviewerly/exHarmony huggingface dataset:
Face Recognition using PCA and constrained images

The face recognition problem is receiving closer attention in the computer vision domain, especially now when contact tracing is a new normal, when monitoring of venues is a top security concerns, or when crime is increasingly becoming digitalized. On the other hand, the principal component analysis (PCA) approach, as a detection and recognition model, has been around for a while. However, evaluations of the accuracy of the PCA model when image inputs are blurred have been sidelined. We propose the design of a PCA inspired biometric personal identification model (PIM) that works with blurred images. The proposed model emphasizes extraction of data from a blurred image input before face recognition. Image restoration is the first step, where the blurredness of an image input is reversed by converting the blurred image inputs into Eigen faces. Euclidean distances are then used to achieve face recognition. Pre-processing also involves resizing of images. An experiment was administered to evaluate accuracy rate, false acceptance rate, and false rejection rate on the AT&T dataset. Results indicate that the PCA inspired PIM achieves a commendable accuracy rate. The achieved accuracy rate of 96% connote a good biometric PIM for this category of problems.
Novel micro-learning-based mobile-assisted language app for Mandarin Chinese

Mobile-assisted language learning (MALL) was first introduced in 1993 and became a sub-area of the growing field of mobile learning research. It has inspired learners to make use of the “anytime” and “anywhere” technology, the key concepts in MALL. Though some mobile apps for Mandarin learning are available, many challenges of the current MALL technology have been recognized. In order to tackle these challenges, we (author and her colleague in Computer Science Department) have designed a mobile app (Android and iOS) as a Mandarin supplementary learning tool, using micro-learning theory. Learning content can be easily customized as needed according to the textbook, which allows both seamless alignments with college curriculum and more quantitative study of MALL technology, with a large group of students over a long period. In addition, the data of students’ behaviours and performances, including how often the student used it and what the results are, can be traced. The analysis of these data allows the use of micro-learning for both students and instructors, which facilitates the language learning. We will pilot the app and conduct various experiments in multiple sections of Chinese I in our college to assess the effectiveness of the proposed app for free. The app can be also applied to other foreign languages with little effort.
The Influence of Dictation Strategy in Improving Listening Skill of Senior High School Students

Background : The implementation of this research was motivated by the results of researchers’ observations on students who still had many difficulties in listening. Students still have difficulties to listen in English due to the position of Indonesian students as foreign learners. Objective : The objective of this research is to know the influence of dictation strategy in teaching listening for Senior High School students and to find out the advantages of dictation strategy in teaching listening. Methods : The research method used in this research is survey method. The population of this research was the students of SMA Swasta Assisi. Therefore, the sample was the XI Social 1 students of SMA Swasta Assisi. Results : The results of this research were described through surveys distributed by researchers to students. The survey was filled by students based on their perceptions of dictation. The results of this research stated that dictation could affect the ability to hear students. Conslusion : Based on the research conducted by the researchers, we conclude that dictation was truly affected students, listening skills based on their perceptions and experiences.
A Model for Viewpoint Control in Requirements Elicitation

Requirements elicitation from multiple human sources involves uncertainty management. Most requirements analysis methods focus on expressing the requirements and ignore the uncertainty inherent in the process of requirements elicitation. This paper proposed a model for requirements elicitation from multiple viewpoints. The model is based on the idea of building internal models of the viewpoints that record their performance in providing information, assessing information, and resolving conflicts between viewpoints. The paper argues that the proposed approach provides a better mechanism in information validation and conflicts resolution. The paper is part of the work reported by the author in Messaoudi (1994).
Effective Use Of Learning Applications For English Subjects In Elementary School

The background of this research is to know the effectiveness of the variables raised in this research. The variables raised in this research are online learning application variables and English subject variables and Elementary School variables. These variables influence each other and have a significant effect. The method used in this research is quantitative method, using a survey of 100 parents of students who use the application for learning English subjects. The problem raised in this research is how the use of applications can be more effective than learning directly or offline by using the application. It is hoped that it can help students who do not understand better understand because with this application they can repeat the lessons they have learned at school so that they can improve their learning. Student scores at the time of the exam. The purpose of this study is to find out the extent to which the effectiveness of an application that will be applied to a subject in elementary school with the application, it can be concluded that this research results in the application having a very significant effect on the teaching and learning system in elementary schools, especially English subjects.
Examining the Effect of Knowledge Management on Performance of Small Firms in Dare es Salaam: A Case Study of Garage Workshops in Temeke District, Dar es Salaam, Tanzania.

Despite knowledge management being an approach used to achieve organisational objectives by making the best use of knowledge, little has been done on identifying the effect of knowledge management in the Tanzanian context. This study was therefore undertaken to assess the impact of knowledge management on the performance of small firms in Tanzania. Three variables, knowledge creation, knowledge sharing, and knowledge utilisation were examined for their impact on the performance of garage workshops. The researcher used a random sampling technique in recruiting the sample size. Questionnaires and interviews were used in obtaining the data. Content analysis, descriptive statistics, and multiple regression analysis were used to analyse study data. The study found that knowledge creation and knowledge utilisation were positively and significantly related to the performance of garage workshops, while knowledge sharing was found to have a positive but insignificant impact on garage workshops performance. Management of small firms was recommended to hire experienced staff to encourage knowledge creation, create an organisational culture that encourages workers interaction, and arrange tasks in a way that workers are encouraged to utilise new knowledge
Dropping Word Education Game Through Female Students’ Vocabulary: An Experimental Study

Dropping words is a game that is used to make it easier for someone to learn vocabulary, this game is also used by all levels and ages because this game of dropping words is quite easy to play. The discussion of this research focuses on how much the increase in female students understanding by using dropping words education games in learning English vocabulary and to determine the effectiveness of dropping word education games on female students’ mastery of English vocabulary at SMP Ibrahimy 2 Sukorejo. This research is a quantitative research using a quasi-experimental method. The sampling technique in this study used purposive sampling. The number of samples used as many as 25 respondents. The data in this study used a pre-test and post-test as well as a questionnaire which was analyzed using SPSS version 19. Based on the results of the study, it can be concluded that first, the level of understanding of female students in the use of dropping word education games in learning English vocabulary can be seen from the final score (post-test) for the experimental group of 80.50 while the post-test of the control group is 67.17. Has a difference in the value of 13.33. Second, there is effectiveness in teaching vocabulary using dropping word education games to female students. This can be seen from the value of the t-test Pair 1 and Pair 2 obtained the value of Sig. of 0.000 &lt; 0.05.
Gender Identification via Voice Processing

Recognizing the sexual orientation of a person via speech has an assortment of utilizations going via speech investigation to customizing machine and human collaborations. Speech Recognition Technology can be installed in different continuous applications so as to expand the human-PC association. From apply autonomy to social insurance and aviation, from intelligent voice reaction frameworks to versatile communication and telematics, speech acknowledgment innovation have upgraded the human-machine connection. Sexual orientation acknowledgment is a critical part for the application implanting discourse acknowledgment as it lessens the computational intricacy for the further preparing in these applications. This paper involves extracting the constituent parts such as frequencies and interquartile ranges which are in light of a legitimate concern for distinguishing the speaker's sexual orientation with as meager discourse as could reasonably be expected.
An overview of cubic intuitionistic β−subalgebras

The conditions of β−algebra is enforced into the structure of cubic intuitionistic fuzzy settings. Furthermore, the concept of cubic intuitionistic β− subalgebra is expressed and its pertinent properties were explored. Also, discussed about the level set of cubic intuitionistic β−subalgebras and furnished some fascinating results on the cartesian product of cubic intuitionistic β−subalgebra. Moreover, the notion of -normed cubic intuitionistic β−subalgebras have been introduced and relevant results are studied.
PENERAPAN PROBLEM BASED LEARNING DENGAN MENGGUNAKAN BAHAN AJAR BERBASIS ANDROID PADA MATERI BARISAN DAN DERET ARITMATIKA

The purpose of this study was to see the attitude of independence and student learning outcomes after applying problem based learning (PBL) using Android-based teaching materials on arithmetic sequences and series material. This type of research is descriptive research. The research subjects were 35 students of class XI MIA 1 SMA Negeri 10 Palembang. The data collection techniques used were observation, questionnaires and written tests. The results of this study indicate that the independence of students after implementing PBL using Android-based teaching materials can be categorized as good, namely with an average of 82.76%. While student learning outcomes are categorized as good with an average value of 77.5
Perceptions of First Year MBBS Learners on the Use of WhatsApp Groups as an Adjunctive Tool to Facilitate Learning in Anatomy- A Cross-sectional Study

Introduction: The abundant usage of mobile devices, its applications and access to information has changed the learners’ way of study, communication and work. Structured and strategically planned usage of this application would support traditional teaching and learning. Based on this widely used WhatsApp social network has been chosen for complementing learning of Anatomy amongst the learners of first year MBBS (Bachelor of Medicine Bachelor of Surgery). Aim: To assess the first year MBBS students learners’ perceptions on WhatsApp group discussions conducted during their study period in Anatomy. Materials and Methods: A cross-sectional study was conducted at Government Medical College, Nizamabad, Telangana, India, in which all the first year MBBS learners (100) of Anatomy from September 2016 to May 2017 and which were on WhatsApp group were included. Discussions using mobiles with facilitator and later perceptions of the learners with a questionnaire were analysed on the implementation and utility of the application. Results: A total of 98 learners answered the questionnaire on perceptions. A 91% of learners admitted that the application was useful to them by &gt;50%. It was observed that 87% of learners were able to communicate with peer group and with their co-learners. A total of 95% felt this could be done with every subject and continued for juniors too with an added advantage of learning academics. A total of 84%, 94% and 95% of learners felt it helped them to prepare for theory, practical and viva-voce exams, respectively. Conclusion: The study concludes that the WhatsApp group discussions can be continued to inculcate learning environment amongst the learners in Anatomy and it should be combined with traditional teaching to enhance learning.
Family-Based Language Learning: A Case Study of the Ponosakan Language Maintenance in North Sulawesi

One of the endangered local languages in North Sulawesi is Ponosakan.This study aimed to preserve the sustainability of Ponosakan by means of qualitative methods, such as story telling, singing songs, and revitalisation of the language function for communication within the families.The approach was taken by introducing the vocabularies of the things around their dwelling places, introducing folk-tales, myths, local narratives, games, folksongs in daily conversation.Instead of parents, village leaders, and school teachers who are still familiar with the language use are assigned to teach the Ponosakan.Learners are required to retell everything they learned in Ponosakan language with the hope that their language proficiency will improve.The study has shown that children and their families in Ponosakan actively use the language at home, and the Ponosakan language has eventually been revitalized.
Metodologia de Modelagem e Filtragem Baseada em Triangulação de Sensores para Rastreamento de Veículos Suborbitais

In order to track a suborbital vehicle, some tracking system are used. Tracking radar can be used for this purpose. This paper presents a method using triangulation of antennas other than radars, for estimating the position of the vehicle. The goal is to improve the capability of keeping tracking the vehicle, even in loss of signal scenarios. Also, a dynamic filter is proposed for improving the estimation accuracy, based on a fuzzy system identification. Simulations were performed to demonstrate the proposed methods in estimating a suborbital vehicle position.
The Autoregressive Integrated Moving Average (ARIMA) Model for Predicting Jakarta Composite Index

The purpose of this study is to test the ability of the Autoregressive Integrated Moving Average (ARIMA) model to predict the value of the Jakarta Composite Index (JKSE) which fluctuates greatly due to the Covid-19 pandemic. The population in this study is JKSE daily closing price data for the period January 2020 to April 2021, so the sample in this study is 324 time series data. The results showed that the best ARIMA model for predicting the value of the Jakarta Composite Index was ARIMA (3,1,9). ARIMA (3,1,9) can predict the JKSE value very well because the value of the forecasting results is not much different from the actual value. This is also evidenced by the results of the accuracy test using MAPE which has a result of 1,729 which means the accuracy of forecasting is 98,27%.
Hard-Mining Loss based Convolutional Neural Network for Face Recognition

Face Recognition is one of the prominent problems in the computer vision domain. Witnessing advances in deep learning, significant work has been observed in face recognition, which touched upon various parts of the recognition framework like Convolutional Neural Network (CNN), Layers, Loss functions, etc. Various loss functions such as Cross-Entropy, Angular-Softmax and ArcFace have been introduced to learn the weights of network for face recognition. However, these loss functions do not give high priority to the hard samples as compared to the easy samples. Moreover, their learning process is biased due to a number of easy examples compared to hard examples. In this paper, we address this issue by considering hard examples with more priority. In order to do so, We propose a Hard-Mining loss by increasing the loss for harder examples and decreasing the loss for easy examples. The proposed concept is generic and can be used with any existing loss function. We test the Hard-Mining loss with different losses such as Cross-Entropy, Angular-Softmax and ArcFace. The proposed Hard-Mining loss is tested over widely used Labeled Faces in the Wild (LFW) and YouTube Faces (YTF) datasets. The training is performed over CASIA-WebFace and MS-Celeb-1M datasets. We use the residual network (i.e., ResNet18) for the experimental analysis. The experimental results suggest that the performance of existing loss functions is boosted when used in the framework of the proposed Hard-Mining loss.
Single Run Action Detector over Video Stream -- A Privacy Preserving  Approach

This paper takes initial strides at designing and evaluating a vision-based system for privacy ensured activity monitoring. The proposed technology utilizing Artificial Intelligence (AI)-empowered proactive systems offering continuous monitoring, behavioral analysis, and modeling of human activities. To this end, this paper presents Single Run Action Detector (S-RAD) which is a real-time privacy-preserving action detector that performs end-to-end action localization and classification. It is based on Faster-RCNN combined with temporal shift modeling and segment based sampling to capture the human actions. Results on UCF-Sports and UR Fall dataset present comparable accuracy to State-of-the-Art approaches with significantly lower model size and computation demand and the ability for real-time execution on edge embedded device (e.g. Nvidia Jetson Xavier).
Analisis Lingkungan Wilayah Kampung Tua Tanjung Uma

The old village is a village that is said to have existed for a long time, even before the city of Batam was founded. One of them is Kampung Tua Tanjung Uma which is located on one of the northern headlands of Batam Island, Lubuk Baja Subdistrict and is also directly opposite the waters of the Singapore Strait. Kampung Tua Tanjung Uma has the potential to become a leading halal destination in batam which can have a good impact on the economy of the surrounding residents if managed properly. Therefore, it is necessary to identify the environment so that it can be managed properly. This type of research is quantitative research and only focuses on the physical indications of the Tanjung Uma Old Village area. Furthermore, the researcher provides recommendations for solutions to overcome problems based on the research.
Text Encoding Using Cipher Block Chaining Algorithm

. Data confidentiality and security are critical in data communication, both for the purpose of shared security, and for individual privacy. Computer users who want their data unknown to unauthorized parties are always trying to work out how to secure the information that will be communicated or that will be stored. Protection against data confidentiality is increasing, one way is by applying cryptographic science. Cipher Block Chaining (CBC), this mode is a feedback mechanism on a block, and in this case the result of the previous block encryption is feedback into the current block encryption. The trick is to block the current plaintext in XOR first with the ciphertext block of the previous encryption result, then the result of this XOR-ing goes into the encryption function. With CBC mode, each ciphertext block is calculated not only on its plaintext block but also on the entire previous plaintext block. The author tries to co-create a text encoding to secure the data with the Cipher Block Chaining (CBC) cryptographic method.
Electronics in Music: Preliminary Stages

With a first recorded appearance dating around the 1950s, electronic music – the fruit of rigorous and tenacious labour by acoustician-researchers and composers who tried and succeeded in imposing a new sound-universe – channelled the evolution of the art of sounds as nothing before it. Prominent composers of the orientation – Pierre Schaeffer, Pierre Henry, Edgar Varèse, Herbert Eimert, Karlheinz Stockhausen, Vladimir Ussachevsky, Luigi Nono – had a determinant role in the way music expanded. The literature mentions as early as the beginning of the 20th century the existence of creators with a true calling for identifying original solutions to permanently transform music, breaking its barriers and thus allowing it to develop, expression-wise, in a variety of directions.
Pelatihan Akuntansi Berbasis Sistem Informasi Akuntansi Pada SMK Cahaya Surya

The subject of accounting information systems is still one of the subjects that are still incorporated in the subject of information systems, not a stand-alone subject. This in-depth knowledge of accounting lessons has many benefits in everyday life. Thus, it is very necessary to have an addition given to vocational students. The objectives of the activity are as follows: (1) Participants are expected to understand the process of Accounting Information System and basic accounting records and an increase in understanding, (2) Participants can understand the benefits of Accounting in daily life and (3) Participants know the accounting profession which includes the field of accounting. who are very broad in the world of work so that it becomes an inspiration if they continue to college. The methods used in carrying out the activities, namely: Giving handouts for reading materials for participants related to the topic of socialization about simple accounting in small companies. Conducting socialization/lectures in the field of accounting, discussions, and working on cases.