Reviewerly/exHarmony huggingface dataset:
Preventing Forged and Fabricated Academic Credentials using Cryptography and QR Codes

The objective of this paper is to present a method of detecting forgery and fabrication in educational certificates and academic transcripts based on cryptography and QR codes. Discussed in detail are the requirements that need to be met by educational institutes issuing academic certificates or transcripts. The cryptographic steps of converting certificate details into a ciphertext, encoding it in a QR code and printing the same on the certificate or transcript to be issued are elaborated. This paper also explains in detail how the certificate owners, other institutes, employers and third-party verifiers can verify certificates for forgery and fabrication using the scanning app of the issuing institute. The encryption and decryption formulae that should be used in computations to be performed before creating and after scanning a QR code are documented. Educational institutes and universities can implement this method in their certificate issuing process just by obtaining a cryptographic key pair and publishing their QR code scanning app for download by verifiers.
Benchmarking the Combinatorial Generalizability of Complex Query  Answering on Knowledge Graphs

Complex Query Answering (CQA) is an important reasoning task on knowledge graphs. Current CQA learning models have been shown to be able to generalize from atomic operators to more complex formulas, which can be regarded as the combinatorial generalizability. In this paper, we present EFO-1-QA, a new dataset to benchmark the combinatorial generalizability of CQA models by including 301 different queries types, which is 20 times larger than existing datasets. Besides, our work, for the first time, provides a benchmark to evaluate and analyze the impact of different operators and normal forms by using (a) 7 choices of the operator systems and (b) 9 forms of complex queries. Specifically, we provide the detailed study of the combinatorial generalizability of two commonly used operators, i.e., projection and intersection, and justify the impact of the forms of queries given the canonical choice of operators. Our code and data can provide an effective pipeline to benchmark CQA models.
A Comparative Analysis of Requirement Gathering Techniques

Requirement elicitation as a concept of requirement engineering essentially describes the process of requirement gathering for the purpose of establishing end users’ and stakeholders’ system requirement. Effective requirement gathering remains a fundamental prerequisite for developing and implementing successful systems. Though different requirement gathering techniques are available, no single technique serves all peculiarities of (or parameters associated with) a system; therefore a combination of different techniques becomes a necessity. The paper presents possible combinations of techniques when considering system characteristics against system analyst’s requirement elicitation experience level, analyst’s system domain knowledge, stakeholders’ articulacy level and stakeholders’ availability, all of which are fundamental towards effective requirement gathering. Also, information characteristics against participant’s (analyst and stakeholders) characteristics in terms of experience and physical location were considered in this work. It was discovered that collaborative techniques of requirement gathering are mostly used and have the potential of being the most used techniques in future following the advances in technology. Therefore, the analyst may consider developing skills and becoming highly experienced with these techniques.
ANALYSIS OF GROUNDWATER QUALITY BASED ON DISTANCE DIFFERENCES IN RESIDENTIALS AROUND BAKUNG TPA BANDAR LAMPUNG

Bakung TPA (Landfill) which is located in the Teluk Betung Barat, Keteguhan, Bandar Lampung. TPA Bakung is located at an altitude of 63 m above sea level with a residential area that has an altitude of 35 m above the surface of the sea. TPA Bakung is a place that indicates a source of pollution for the surrounding population. The system for processing Bakung TPA waste still uses an open dumping system where the system is the simplest among other waste processing systems. The purpose of the final project is to analyze the quality of groundwater around TPA Bakung and determine the effect of distance settlements on groundwater quality around TPA Bakung. The method used for taking sampling is purposive sampling distance by following the Indonesian National Standard 06-2412-1991, the parameters observed were color, turbidity, pH, BOD, and COD by using quality standards PERMENKES No.32 of 2017 concerning Environmental Health Quality Standards GOVERNMENT REGULATION No. 82 of 2001 concerning Water Quality Management and Water Pollution Control. The results of the analysis of groundwater quality obtained were the parameters of color, pH, BOD, and COD which exceeded the quality standard parameters. Then the statistic data processing software test results below 0.05, show that the data cannot prove the effect of distance on groundwater quality in settlements around TPA Bakung Bandar Lampung.
Translation of English and Chinese Idioms from the Perspective of Cultural Differences

With the increasingly frequent exchanges between countries, personnel interaction is increasingly close the rapid spread of culture.Language, as a communication carrier, is indispensable, and idioms are a very important part of the language.Idioms are a refined form of language produced in people's long-term production and life.They are deeply rooted in the national culture and have become a difficulty in translation due to their high cultural content.As the language with the largest number of speakers in the world, English and Chinese idioms have their own cultural differences and are indispensable cultural wealth in the world.In order to ensure that the original text and the translation can complement each other in content and form, it is necessary to master the translation of idioms.The purpose of this paper is to study the perspective of cultural differences between English and Chinese idioms translation, this paper analyzes the method and skill of English and Chinese idioms translation, adopt the method of research experiment analyzed the influence of cultural differences on English and Chinese idioms translation, in the process of English and Chinese idioms translation now have some problems, for example, analysis, and puts forward some Suggestions.It is hoped that the translation of idioms can be considered from the perspective of cultural differences and the principle of translation should be followed to make the translation not only convey the meaning but also convey the essence to the greatest extent.According to the survey data, 80% of the scholars not only need a certain cultural basis as the background, but also show a kind of cultural difference, which has an important impact on the translation of English and Chinese idioms.Only by understanding the differences and unity of English and Chinese culture in a practical way, can idiom translation become more fluent in a real sense.
A Hands-on Project for Teaching Semantic Web Technologies in an Undergraduate AI Course

The latest advances in Semantic Web technologies suggest an accelerating emergence of new exciting Artificial Intelligence applications that are expected to dramatically extend and improve current web services.Yet, these new technologies are outside the scope of undergraduate computer science curriculum.This paper presents our experience with introducing a hands-on project intended to teach Linked Data and Semantic Web as part of an undergraduate Artificial Intelligence course.The project is intended to achieve the following: 1.) Demonstrate the evolution of Knowledge Engineering into Ontological Engineering; 2.) Introduce students to Semantic Web technologies and tools such as ontology editor Protégé, Web Ontology Language (OWL), Semantic Web Rule Language (SWRL), and query language SPARQL; 3.) Extend the topic on reasoning into Description Logics and demonstrate the advantages of their inferencing capabilities; 4.) Use OWL and SWRL to compare descriptive and rule-based reasoning frameworks and show how their integration can improve the efficiency and the semantic adequacy of applications; 5.) Illustrate the Linked Data principles in a practical setting.Limited assessment of the pedagogical value of this project based on student learning outcomes suggests that it enhances students' understanding of the core AI topics, boosts their engagement and interest in the course, but more importantly introduces them to the newest advances in web application development.
SISTEM ABSENSI DOSEN MENGGUNAKAN QR CODE BERBASIS ANDROID

Polytechnic of Kampar is one of the universities in the palm oil sector in Indonesia. Every learning process will require an attendance. Attendance at the Polytechnic of Kampar is still using paper or manually. The drawbacks of attendance using paper are the possibility that the attendance book can be lost or scattered, the absence of attendance when the attendance book is lost, attendance uses a sheet of paper when the attendance book is lost, the number of paper uses, and so on. To overcome this, in this digital era, a lecturer attendance application was made using an QRcode based Android. This application is designed using Android Studio version 4.0, Code Igneter Framework and MySQL as a database. Hopefully, the application that is built can help overcome the shortcomings of attendance manually. After being tested, it can be seen that this application can solve problems in the manually attendance in Polytechnic of Kampar, so that in general this application can run as expected.
MATHCAD SYSTEM AS A MEANS OF INCREASING THE EFFICIENCY OF PHYSICS

Until recently, some students with a high level of interest in physics faced a serious problem in the study of physics due to their lack of knowledge in mathematics. Although the content of many interesting physical problems is understandable to the student, due to the fact that their solution requires knowledge of differential equations, derivatives and integrals, these problems remain unsolved. Students learn Newton's second law and the law of universal gravitation at school, but their knowledge is not enough to calculate the motions of planets and spaceships
Financial Market Efficiency: Equity versus Cryptocurrency before and after Covid-19 Pandemic

The Covid-19 pandemic outbreak may generate differential impacts on global financial markets causing some markets to be more efficient than the others. This paper employs Hurst Exponent as a methodology for measuring financial market efficiency. The literature focused largely on the equity markets such as the stock markets. There is a paucity of studies on the evolving cryptocurrency markets such as Bitcoins. There is also a paucity of studies examining how asset market efficiencies are influenced by the pandemic. We therefore develop testable efficiency market hypotheses for both equities and cryptocurrencies against the backdrop of a large scale global pandemic. We also develop a new theoretical concept in addition to those in the literature for explaining our empirical findings. Our results show that the efficiency level of the cryptocurrency markets is lower than the stock markets. Furthermore, the efficiency level of both the cryptocurrency markets and stock markets decline after the onset of the covid-19 pandemic. The theoretical framework developed in this paper can be used to provide relevant explanations for our empirical results.
Multi Objective Association Rule Mining with Soft Computing Approach

Due to widespread spreading of Internet nowadays there is tremendous increase in amount of data specially from the social media platforms. Further the extraction of useful patterns is required from these huge data stored in data-sets. Thus the soft computing is gaining importance due to the incorporation of the Artificial Intelligence and the Machine Learning. In this paper Multi Objective Association Rule Mining with medical data-sets. The results are implemented with various multi objective measures like confidence, support, etc . Various level of data-sets are used to represent the results for the association rule mining. The data-sets considered are numerical in nature.
Konseling Cognitive Behavior Modification Berbantu Expressive Writing untuk Mengurangi Perilaku Seksual Pranikah Siswa

Abstract: This study aims to produce a guide to cognitive behavior modification counseling assisted by expressive writing for vocational students that meets the acceptability aspect, namely aspects of usability, accuracy, convenience, attractiveness and appropriateness. This research method was adapted from the procedural Research and Development (R&D) model of Borg & Gall. Expert tests and prospective users were analyzed using the inter-rater agreement model. The validity index of the material, media and prospective users test shows high criteria. While the field test was analyzed using the Wilcoxon test which showed that this guide was effective in reducing premarital sexual behavior. Abstrak: Penelitian ini bertujuan untuk menghasilkan panduan konseling cognitive behavior modification berbantu expressive writing bagi siswa SMK yang memenuhi aspek keberterimaan yaitu aspek kegunaan, ketepatan, kemudahan, kemenarikan dan kepatutan. Metode penelitian ini diadaptasi dari model Research and Development (R&D) prosedural Borg & Gall. Uji ahli dan calon pengguna dianalisis menggunakan inter-rater agreement model . Indeks validitas uji ahli materi, media dan calon pengguna menunjukkan kriteria tinggi. Sedangkan uji lapangan dianalisis menggunakan uji Wilcoxon yang menunjukkan bahwa panduan ini efektif untuk mengurangi perilaku seksual pranikah.
Implementasi Data Mining Menggunakan Algoritma J48 Dalam Menentukan Pola Itemset Belanja Pembeli (Study Kasus: Swalayan Brastagi Medan)

Brastagi supermarket is a shop that sells all kinds of daily needs. In determining the number of goods, Brastagi supermarkets in Medan are still experiencing very heavy obstacles because so far they are still using very simple applications in managing sales data. Based on this, the researcher is interested in a search for patterns of buyers' shopping itemset from large-scale data and that associates data with one another using the Decision tree j48 algorithm. So that it can assist in making decisions on determining the amount of goods to be provided, because the quality of the company is judged by the seriousness in managing sales data. The purpose of this study is to determine the pattern of the buyer's shopping itemset, which items are often purchased and later the company can make decisions to increase sales of these goods.
Text Classification Analysis by Machine Learning Job Segmentation Algorithm

The objective of this research was to analyze the classification of texts related to job qualifications. A text analysis algorithm (Text Classification Analysis) was applied. This research gathered the qualifications of job positions from the database of JOBBKK Company (as of March 9, 2020), which is the most popular recruitment agency in Thailand. Data on the job qualifications of 10,000 samples were used to classify workgroups by means of the 10-Fold Cross Validation test, which uses five algorithms: Decision Tree, naive Bayes, Learning base (Support Vector Machine), Random Decision Forest (Random Forest), and K-Nearest Neighbor. Performance measures were precision, recall, and each algorithm's F-measure value. The analysis results show that the Support Vector Machine (SVM) algorithm has a text recognition efficiency with a highest accuracy of 92.73%.
PENGARUH MODEL PEMBELAJARAN KOOPERATIVE TIPE JIGSAW (MODEL TIM AHLI) TERHADAP KEMAMPUAN MEMBACA WACANA TULIS SISWA KELAS VIII SMP SWASTA FATIMA 2 SIBOLGA

The research aims to know whether there is a significant influence of using cooperative learning model of jigsaw type (expert team model) on students’ writing discourse reading ability at the eighth grade students of SMP Swasta Fatima 2 Sibolga. The research was conducted by applying experimental research with 32 students as the sample and they were taken by using cluster sampling from100 students. Test and questionnaire were used in collecting the data and the data was analyzed by using descriptive analysis and inferential statistics. Based on descriptive analysis, it could be found: (a) the average of students’ writing discourse reading ability before using jigsaw type was 56 (less category) and after using jigsaw type was 75.96 (good category). Furthermore based on inferential statistics by using ttest one tail, it could be found ttable was less than tcalculated (2.04 < 5.60). It means there is a significant influence of using cooperative learning model of jigsaw type (expert team model) on students’ writing discourse reading ability at the eighth grade students of SMP Swasta Fatima 2 Sibolga.
АНАЛИЗ РАБОТЫ УСТРОЙСТВ С УЯЗВИМОСТЬЮ BADUSB

Any interaction of a USB device with a computer is carried out using a microcontroller and so that it can carry out actions, a control code is stored in its own service memory that the normal user does not have access to. Each USB device includes a controller chip that can be reprogrammed with a small physical and software impact. This is where the concept of “BadUSB vulnerability” arises. Since this threat works with software and hardware implementation of microcodes, the danger of the threat of BadUSB is high. Since all operating systems of the Windows, Linux, Macintosh family are subject to it, protection against this threat is complicated. And standard manipulations with the reinstallation of the operating system, which are a universal solution for most vulnerabilities, are not able to “cure” a computer infected with BadUSB media. In this paper, a description and analysis of the work of sketches when creating a device with a BadUSB vulnerability is given, and possible methods of protection are given.
Increasing Public Interest on Reading through Physical and Digital Library in Karangmojo Village

The current Covid-19 pandemic obliges children to study online. It requires children to use gadgets either smart hand phone or laptop. It makes a big increasing gadgets utilization. A lot of children spend their time just playing 'online games'. Adults who do activities or work from home on average spend their time using gadgets. With this phenomenon, people's interest in reading has decreased. One way to increase people's interest in reading is by making the Karangmojo Village Community Reading Corner. In the current era of globalization, this Community Reading Corner not only provides a physical library but also provides a digital library that can be accessed via the web by the people of Karangmojo Village.&#x0D;
PENINGKATAN PEMBELAJARAN BAHASA INDONESIA DALAM KETERAMPILAN MENULIS TEKS ANEKDOT MELALUI PENDEKATAN KONTEKSTUAL SISWA KELAS X MIA 1 MAN SIPIROK LOKASI SIPAGIMBAR

This study aims to know whether there is Bahasa Indonesia learning improvement on the topic anecdote text writing skill through contextual approach at the tenth grade students of MIA 1. The research was conducted by using Class Action Research (CAR) with 32 students as the sample.  The research consists of two cycles. The first cycle showed (a) 50% students give positive response to contextual approach, (b) the average of students’ anecdote text writing skill through contextual approach was 72.5, and (c) 45% students got minimal mastery criteria. The research was conducted to the second cycle, the result showed (a) 80% students give positive response to contextual approach,(b) the average of students’ anecdote text writing skill through contextual approach was 78.906, and (c) 75% students got minimal mastery criteria. It was concluded there is Bahasa Indonesia learning improvement on the topic anecdote text writing skill through contextual approach at the tenth grade students of MIA 1.
Handwriting recognition using CNN and its optimization approach

Chapter Contents: Abstract 5.1 Introduction 5.2 Related works 5.3 Background 5.3.1 Convolutional neural network 5.3.2 Gated convolutional neural network 5.3.3 Gated recurrent unit (GRU) 5.3.4 Connectionist temporal classification (CTC) 5.3.5 Residual operation 5.3.6 Bi-directional gated recurrent unit (BiGRU) 5.3.7 Squeeze and excited network (SENet) 5.3.8 Linear bottleneck network 5.3.9 Encoder and decoder model 5.4 Methodology 5.4.1 Data gathering 5.4.2 Preprocessing 5.4.2.1 Data removal 5.4.2.2 Image augmentation 5.4.3 Model overview 5.4.3.1 Small encoder Flor (SmallFlor) and extend encoder Flor (ExtendFlor) 5.4.3.2 Small decoder Flor (SmallDecFlor) and extend decoder Flor (ExtendDecFlor) 5.4.3.3 ResFlor 5.4.3.4 ResSEFlor model 5.4.3.5 ResBNFlor model 5.4.4 Metrics 5.4.5 Training configurations 5.4.6 Unseen testing 5.4.7 Inference time testing 5.4.8 Visualize inside the model 5.5 Experiments 5.5.1 Experiment 1: Bluche versus Puigcerver versus Flor model 5.5.2 Experiment 2: performance comparison of the encoder 5.5.3 Experiment 3: performance comparison of the decoder 5.5.4 Experiment 4: performance comparison of the skipped connection 5.5.5 Experiment 5: performance comparison of other ResFlor model 5.5.6 Experiment 6: ResFlor residual with SE network 5.5.7 Experiment 7: ResFlor with residual and bottleneck network 5.6 Summary 5.7 Conclusion and future work Acknowledgments References
Five Recommendations for FAIR Software

The FAIR principles are a concept which originated in data management. The acronym stands for Findable, Accessible, Interoperable and Reusable. They have served as a flagship for promoting good data management practices, but until recently they were not directly applicable to software. The FAIR Software website guides user through the process of making their software as FAIR as possible, based on already existing online information sources.
Voice biometrics: future trends and challenges ahead

Book DOI: 10.1049/PBSE012E Chapter DOI: 10.1049/PBSE012E_ch10 ISBN: 9781785619007 e-ISBN: 9781785619014 Preview this chapter: Voice biometrics: future trends and challenges ahead, Page 1 of 2 < Previous page | Next page > /docserver/preview/fulltext/books/sc/pbse012e/PBSE012E_ch10-1.gif /docserver/preview/fulltext/books/sc/pbse012e/PBSE012E_ch10-2.gif
Handwritten digits recognition using dictionary learning

Chapter Contents: Abstract 4.1 Introduction 4.1.1 Optical character recognition 4.1.2 Handwritten recognition 4.2 Related works 4.3 Dictionary learning 4.4 DPL variants for HNR 4.4.1 Dictionary pair learning model 4.4.2 Incoherent dictionary pair learning (InDPL) 4.4.3 Labeled projective dictionary pair learning 4.5 Input data preparation 4.5.1 Image preprocessing 4.5.2 Histogram of oriented gradient 4.5.3 Classification stage 4.6 HNR datasets 4.7 Experimental results 4.7.1 Cross-validation 4.7.2 Benchmarking results 4.7.2.1 Comparison with classic models 4.7.2.2 Comparison with deep learning 4.7.2.3 Comparison with related dictionary learning methods 4.8 Conclusions References
Natural Language and Beyond: Tips for Search Services

The most vocal opponents of natural language search systems are more often than not veteran search intermediaries, that is, librarians. A major complaint of natural language searching is that, oftentimes, a search engine returns too many irrelevant hits. Whether termed indexes, databases, catalogs, engines, or directories, search services, as they are referred to in this article, as a rule, can be classified as engines, subject directories, or metasearch gateways. Because individual search services handle more complex queries in their own unique manner, metasearch gateways normally accept simple queries then convert them to a common format shared by the collective group. On the other hand, many Web-based search services now allow a user to specify what information service he or she wants the information to originate from. Virtually all Internet search services initially present the user with a basic form that encourages simplicity.