Reviewerly/exHarmony huggingface dataset:
Implementasi Sistem Otentikasi Dokumen Berbasis Quick Response (QR) Code dan Digital Signature

The authenticity and integrity of documents are essential in data exchange and communication. Digital documents must be verifiable for their authenticity and integrity by all parties that use the documents. Generally, digital documents can be authenticated by using digital signatures. This study aims to implement a document authentication system based on Quick Response (QR) code and digital signature. As the case study, the document authentication system is implemented to generate digital signatures for student’s certificate documents. Furthermore, the system can also verify the authenticity of the certificate documents. Creating a digital signature requires a hash function algorithm for generating the message digest of the document. In addition, an algorithm to generate the public key and the private key used in the encryption/decryption of the message digest is also needed. The hash function utilized in this study is the Secure Hash Algorithm-256 (SHA-256), while the algorithm used for encryption/decryption is the Rivest-Shamir-Adleman (RSA) algorithm. The system is evaluated by verifying 30 student certificate documents, of which 15 of them were certificates with QR code signature generated by the system and the other 15 were certificates with QR code signature generated using a random QR code generator. The system’s testing results demonstrate that the system can ensure the authenticity and integrity of the signed certificate documents to prevent document falsification. All documents that contain random QR codes were correctly identified as false documents.&#x0D;
Reviewing Sepa Language Extinction of the Indigenous Peoples of Amahai, Moluccas, Indonesia

Threat language can be found in various local languages in Indonesia, including the Sepa language of the Indigenous peoples of Amahai, Moluccas, where the nationalization of Indonesian is a threat to its extinction. This paper aims to look at the extinction of regional languages from the framework of modernization and contestation of regional languages with national languages. This study is conducted qualitatively, data collection based on interviews, literature study, and observation obtained from Raja Sepa, community leaders, customary stakeholders. Research shows that the language in Maluku is almost extinct in line with the narrowing of regional language spaces; the language has been abandoned by its speakers because of the process of modernization and migration. This study shows the need for revitalization of the Sepa language through facilitating the mapping of the Sepa language comprehensively, making the Sepa language dictionary, and integrating the Sepa language into the local curriculum.
Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design

Many scientific conferences employ a two-phase paper review process, where some papers are assigned additional reviewers after the initial reviews are submitted. Many conferences also design and run experiments on their paper review process, where some papers are assigned reviewers who provide reviews under an experimental condition. In this paper, we consider the question: how should reviewers be divided between phases or conditions in order to maximize total assignment similarity? We make several contributions towards answering this question. First, we prove that when the set of papers requiring additional review is unknown, a simplified variant of this problem is NP-hard. Second, we empirically show that across several datasets pertaining to real conference data, dividing reviewers between phases/conditions uniformly at random allows an assignment that is nearly as good as the oracle optimal assignment. This uniformly random choice is practical for both the two-phase and conference experiment design settings. Third, we provide explanations of this phenomenon by providing theoretical bounds on the suboptimality of this random strategy under certain natural conditions. From these easily-interpretable conditions, we provide actionable insights to conference program chairs about whether a random reviewer split is suitable for their conference.
Analysis of the Current Situation of Piano Education in Colleges and Universities in the Information Age and Research on Countermeasures

In view of the low application ability of piano improvisational accompaniment of music majors, this paper proposes a method of big data combined with MIDI keyboard and Kinect depth sensor to achieve the purpose of recognizing chord progression and judging fingering when students perform, and realizes the auxiliary teaching system. Firstly, the information of color and depth images is obtained, and the state transition diagram of chord transposition and chord gesture template library are constructed as the system initialization conditions. Secondly, using the traditional skin color modeling and background difference method as well as the current depth data, the gesture recognition is realized by template matching. Finally, the correctness of chord progression is judged, and comprehensive fingering application is used to score and evaluate. The experimental results show that the system has high robustness and can be effectively applied to piano teaching.
Development of Future English Language Teachers’ Self-Efficacy Levels: Blended Learning Versus Face-to-Face Instruction

In the era of digitalization and informatization of the world community blended learning is becoming more and more prominent in improving professional training of students in various specialties as it enables to provide efficient learning, achieve learning goals and, what is more, to build their confidence. The aim of the research is to investigate the influence of blended learning incorporated into the professional training of students doing a BA degree in Teaching English as a Second Language on the increase of their general self-efficacy. To establish the relationship between the students’ general self-efficacy and blended learning we used a questionnaire. 133 students were selected to take part in a quantitative study which was conducted at three Ukrainian universities in 2019/2020 academic year. A non-random sampling technique basing on the fact that all 133 respondents studied the same disciplines was used to select the research sample. All the respondents were divided into experimental and control groups. The experimental group was represented by 65 undergraduate students and the control group was represented by 68 undergraduate students. The disciplines selected for training all the respondents in the experimental and control groups were “Contrastive Grammar of the English and Ukrainian languages”, “Practical Grammar of the English Language”, “The Practical Course of the English Language”. The experimental group was to be taught through incorporating blended learning courses on the selected disciplines using the Moodle platform and the control group was to be taught through providing a face-to-face instruction on the selected disciplines. To draw firm conclusions we used methods of mathematical statistics and computer data processing. Obtained results revealed a positive and significant relationship between the incorporation of blended learning into the professional training of students doing a BA degree in Teaching English as a Second language and the increase in their levels of general self-efficacy.
Application of smart substation site management system based on 3D digitization

Abstract In order to standardize the construction of smart construction site of substation, meet the requirements of observable, measurable and controllable whole process of project technology, safety, quality, progress and procurement, and realize the goal of lean management and control, this paper expounds the concept of smart construction site from four aspects: Framework Construction of smart construction site, platform and module construction of smart construction site, mechanism construction and pilot application. This paper puts forward an overall scheme of smart substation construction site based on 5g technology, which combines big data, artificial intelligence, state perception and video recognition technology to solve the multi-dimensional management requirements of safety, quality and progress during construction. The intelligent site visualization platform is established and integrated with 3D model to realize 3D visualization display of site information.
STUDENT’S READING COMPREHENSION OF DIFFERENT GENRES IN SMP NEGERI 2 PANCURBATU

The purposes of the study were to (1) find out the level of students reading comprehension of different genres and (2) to describe students reading comprehension of different genres of text. The subject of the research was the eight grade students in SMP Negeri 2 Pacurbatu. The research was conducted by using descriptive qualitative method. The data were collected by using reading comprehension test and interview. Then The data were analyzed by identifying the result of test first, describing the result and the last was explaining the result. Based on the result of the data analysis, it was found that the students were good at both literal and inferrential. Literal comprehension was 75.95% better than inferrential comprehension 72,68 %. Furthermore, students reading comprehension of narrative texts was the dominant genre with 75.00% which belonged to good category and followed by recount text with 72.98%, procedure text with 73.79% and the last was descriptive text with 69.75% which the only genre belonged to fair category
Compressing Deep CNNs Using Basis Representation and Spectral Fine-Tuning

We propose an efficient and straightforward method for compressing deep convolutional neural networks (CNNs) that uses basis filters to represent the convolutional layers, and optimizes the performance of the compressed network directly in the basis space. Specifically, any spatial convolution layer of the CNN can be replaced by two successive convolution layers: the first is a set of three-dimensional orthonormal basis filters, followed by a layer of one-dimensional filters that represents the original spatial filters in the basis space. We jointly fine-tune both the basis and the filter representation to directly mitigate any performance loss due to the truncation. Generality of the proposed approach is demonstrated by applying it to several well known deep CNN architectures and data sets for image classification and object detection. We also present the execution time and power usage at different compression levels on the Xavier Jetson AGX processor.
4G Network Security Algorithms: Overview

&lt;p class="0abstractCxSpFirst"&gt;Long Term Evolution (LTE) of (Universal Mobile Telecommunication System) is one of the modern steps in series of mobile telecommunications systems. That appears to be a strong technology that meets the requirements of fourth-generation (4G) mobile networks and supports authentication and encryption mechanisms between User Equipment (UE) and Message Management Entity (MME). This paper provides an overview of the three most important algorithms that are considered the heart of LTE cryptographic algorithms (SNOW3G, AES, and ZUC) and a comparison between cipher key length and initial vector length to generate keystream depending on the structure used for each algorithm as each algorithm has a time of complexity and space of complexity that differs from the other security algorithm.&lt;/p&gt;&lt;p class="0abstractCxSpLast"&gt;&lt;strong&gt; &lt;/strong&gt;&lt;/p&gt;
Exploring The Challenges Facing Teenage Mothers in School and How They Cope in the Wa West District

Education is a built-in mechanism that retains its essential value as a human right, not as a static commodity to be viewed in isolation from its larger context. Every person has the right to quality education and the ability to guarantee their human rights are secure for the long term. This research examined teenage mothers' struggles in school. The study employed a descriptive phenomenological approach. Twelve teenage mothers were selected, using a snowball sampling approach. Semi-structured interviews were used to collect data from these teenage mothers by audio taping. The data was transcribed, pursued and analysed thematically. The research revealed that teenage mothers in school face various difficulties in school, including lack of financial support, poor time management, low self-esteem, and emotional instability. The further revealed that majority of teenage mothers in school employ direct problem solving, cognitive decision-making, understanding, and constructive cognitive restructuring to cope with the challenges they face.
Singular value decomposition‐based iterative robust cubature Kalman filtering and its application for integrated global positioning system/strapdown inertial navigation system navigation

The issue of non-linear robust state estimation in the integration of a strapdown inertial navigation system and global positioning system is addressed in this study. Based on the cubature Kalman filtering frame, a non-linear robust filter called a robust cubature Kalman filter (RCKF) was introduced to address the outliers and the inaccurate model. It has been found that the determination of an optimal restriction parameter is crucial for maintaining the robustness and accuracy of the non-linear robust filter. Unfortunately, the value of this restriction parameter is always determined by experience. In this study, an iterative strategy was proposed to adaptively attain the optimal restriction parameter without much previous experience. To improve the computational stability of the iterative non-linear robust filter, a singular value decomposition strategy was adopted simultaneously. Two case studies indicate that the iterative RCKF can achieve greater robustness and accuracy using the methodology discussed in this study.
Detecting Emotional Contagion in OSS Projects

In recent times, due to an increase of open source software working models, the behaviour and emotional affective state of developers are becoming increasingly relevant as a subject of research in the software engineering community.One important aspect of such research is emotional contagion: the phenomenon by which the affective state of an individual is transferred to another one through communications.In this paper, propose a simple model that determines the presence of emotional contagion, negative or positive, in an open source project in order to enrich the set of tools used to help the developers..
A lightweight cryptographic solution to secure digital transmissions on resource-constrained environments

The great revolution of technology and its fast growth have led to a cyber space increasingly vulnerable to cyber-attacks. For this reason, cyber security becomes paramount to protect our cyber space by presenting and implementing important solutions to protect sensitive data from malicious persons. Thereby various measures of protection have been developed and aim to minimize the risks and damages of attacks. Among them, cryptography plays a vital and crucial role in protecting sensitive transmissions and electronic exchanges through complex networks. Numerous scientific studies have emerged with the advent of the cloud and the Internet of Things (IoT); all of them have expressed a strong need for building secure, efficient and fast cryptosystems targeting confidentiality, integrity and authentication. The last two objectives are essentially built on hash functions which are the main components of many applications and secure networks. The purpose of this paper is to give recent advances of lightweight cryptographic solutions that meet the requirements of constrained systems, and to present a study, in terms of security, energy-consuming and efficiency, of the main hash functions standardized by NIST (National Institute of Standards and Technology). In the end, the paper will give a comparison between the studied hash functions aiming to come up with a recommendation of good lightweight hash functions suitable for implementation in an IoT framework.
Information Hiding Scheme Based on Quantum Generative Adversarial Network

<p indent=0mm>Due to the insecurity of quantum image information hiding technology in the face of statistical-based steganalysis algorithm detection, an information hiding scheme based on quantum generative adversarial network (QGAN) is proposed. This scheme first uses the mapping rules to map the secret information into the single qubit gate to prepare for the input state of the parameterized quantum circuit of the generator <inline-formula id=inline4><mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline><mml:mi>G</mml:mi></mml:math></inline-formula>. Then the stego quantum image is generated by the generating circuit in QGAN. Finally, the sample data obtained by measuring the stego image and the real data are used as the input of the discriminator <inline-formula id=inline5><mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline><mml:mi>D</mml:mi></mml:math></inline-formula>. The iterative optimization is performed so that <inline-formula id=inline6><mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline><mml:mi>G</mml:mi></mml:math></inline-formula>can obtain a stego image close to the target image. The experimental results show that proposed scheme can generate stego images that fit the target image distribution well and achieve the non-embedded hiding of information.
Information System Design for Tadarus Madrasah Ibtidaiyah (MI) Darul Ulum Kintap Webbased

Madrasah is a place of study or formal school equivalent to elementary school, but at madrasah there will be more to learn about Islam, especially learning to read the Koran. Madrasah Ibtidaiyah (MI) Kintap uses the at-tanzil method in the process of learning the Qur'an, with the aim that students can understand more quickly about tajwid and the law of reading the Quran. MI Darul Ulum Kintap will provide a notebook of the achievements of the students so that parents can monitor the extent to which the students have learned. The problem that exists in recording the student's achievement using a note book is the negligence of the students in maintaining the achievement record book, so that it can make it difficult for parents and teachers to monitor the learning process of the students. To overcome this problem, the authors take advantage of technological developments by building a system that can be used to access data on student achievement in real time. This research also adds a feature to register new students, so that parents can register their children online. In this research, data analysis uses the method waterfall. The results of the research that has been carried out are that all features or functions of the system built have run well according to their function by testing the functionality of the system using the method black-box.
Pseudo-Relevance Feedback Combining Statistical and Semantic Term Extraction for Searching Arabic Documents

Pseudo-relevance feedback (PRF) is an effective query expansion method for searching candidate terms based on top-ranked documents.PRF uses a statistical approach that relies heavily on term-based document retrievals.It causes a semantic gap between query and document that causes vocabulary mismatch problems, such as synonyms and polysemy.In this paper, we proposed pseudo-relevance feedback that combines statistical and semantic term extraction using Term Frequency-Inverse Document Frequency (TFIDF), Bidirectional Encoder Representations from Transformers (BERT), and Yet Another Keyword Extraction (YAKE) for searching Arabic documents.Pseudorelevance feedback will produce top-ranked documents that are relevant to the query.Term extraction on top-ranked documents using TFIDF, BERT, and YAKE was conducted to obtain candidate terms related statistically and semantically, thus understanding the context of the query sentence.The term extraction results will be re-ranked using Borda ranking to ensure that the Top-K candidate terms are relevant and used for searching the final document with the original query.From the experimental results, the proposed method obtains Precision 5 (P5), P10, Recall, Mean Reciprocal Rate (MRR), and Success Rate (SR@K) of 21%, 14%, 42%, 42%, and 58%, respectively.These results indicate that PRF with a combination of statistical and semantic term extraction for searching Arabic documents can improve the relevant document results.
Adaptive Real-Time Wavelet Denoising Architecture Based on Feedback Control Loop

The discrete wavelet transform is commonly used as a denoising step for many applications, like biomedical applications which are usually suffering from low SNR of the recorded signal. However, the choice of appropriate threshold value for DWT coefficients plays significant role in reconstructing the denoised signal. This paper presents a design of real-time wavelet denoising architecture which is suitable for wide range of real-time denoising applications. In this design, an adaptive thresholding approach based on feedback control loop is proposed to make the architecture more applicable for real-time wavelet denoising. This thresholding method considers a noise level estimator module based on first detail coefficients level 𝑑1 to calculate the unknown standard deviation of background noise. The proposed architecture is developed using MATLAB to simulate the suggested denoising method. The performance of the proposed denoising method is studied in terms of integral gain 𝐺 of feedback control and window size 𝑀 with respect to the improvement in SNR and settling time. The results imply that the proposed denoising architecture is suitable for real-time denoising applications with acceptable improvement in SNR approximately 8 dB.
Implementasi Single Sign-On Menggunakan Google Identity, REST dan OAuth 2.0 Berbasis Scrum

Single Sign-On (SSO) is a technology that can support user convenience in accessing a system. By using SSO, a user only needs to authenticate once to get access to a system. OAuth 2.0 is one of the protocols that can be implemented on the SSO system. Currently, many Application Service Providers (ASP) support the OAuth 2.0 protocol thus providing convenience in the development of a more standard SSO system. Google Identity is one of the services provided by Google that can be used to build SSO systems using the OAuth 2.0 protocol. Application of the request and response methods provided by the protocol specification OAuth 2.0 and Representational State Transfer (REST) architecture of the system implementation can also make SSO systems more secure. In its implementation, the use of an agile system development methodology with the Scrum framework is used to increase speed and flexibility. The results of this research show that the use of Google Identity, REST, and OAuth 2.0 can provide easy user access, guarantee access validity, accelerate client-server data exchange and simplify the SSO implementation process.
STUDENT ATTENDANCE SYSTEM BASED ON THE FACE RECOGNITION

Face Recognition Attendance system is important in schools and institutions.In school and institution is not easy to maintain the attendance records in paper and file.Therefore, an existing system that uses a face recognition attendance system increases accuracy and it takes less time as compared to another method.There are a lot of systems available such as face recognition using "IR motion" sensors, etc.With automatic face recognition attendance system, hardware devices(software), helpfull.But the challenge is to keep all the nerves properly without getting hurt.the face recognition attendance system we use javascripts,node.jsand library are used tensorflow.jsand face-API.It can take pictures from 50-70cm.We create a graphical interface that takes pictures, builds a database ,and trains the database with one click.Before seeing student's face they store the data in an excel sheet with time and date and we can check the excel sheet it the and of the class and lecture for conformation.