Reviewerly/exHarmony huggingface dataset:
ATTENDANCE SYSTEM USING FACE RECOGNITION

Face recognition is the new technology being explored these days by many individuals for its many benefits including use of facial technology for attendance and some other uses such as surveillance, criminal identification, etc.Faces have been used by humans for identifying other humans similarlycomputers can use specific set of algorithms to identify humans. Face recognition can be used to identify individuals and capture their images and thus improve surveillance, also face recognition algorithms can be combined together with simple neural networks to improve their accuracy though the speed will be reduced. Algorithms such as yolo, CNN can be used to improve accuracy. With proper labelled dataset it is possible to detect faces easily and labelling dataset can be done automatically or manually. Simple patterns can be understood to detect humans from an image and identify them. Proper thresholds can be used to improve accuracy.
Implementation of a GSM base station and reception of LTE signals, applying radio defined by software

Santo Tomás University does not currently have the entire telecommunications infrastructure that allows its students to perform laboratory practices in the area of mobile telephony. Therefore, this research work has the purpose of implementing a mobile cellular telephone base (TMC), GSM 2G and the development of a LTE 4G signal reception system, all this through the use of software-defined radio and free software tools. The implementation of the base station generates and manages the wireless resource issued by it, in order to provide short text messaging services and voice call. On the other hand, the LTE 4G signal reception system was developed in the GNURadio software, which allows replicating a didactic and educational form of the whole process of generation and reception of basic mobile telecommunications services.
A Study on the Cultivation of Students' Key Abilities in College English Courses from the Perspective of POA

&lt;p&gt;Production-Oriented Approachwith Chinese characteristics is the latest feedback of foreign language teaching theory supporting classroom practice in recent years. Based on the practice of college English class, it shows students' basic attitude and evaluation results in cultivating their individual thinking ability, which can promote the continuous improvement of foreign language teaching theory. As college English teaching adopts the "Production-Oriented Approach", it can not only stimulate students' interest in learning English, but also cultivate students' ability of information analysis and processing, rational presentation of personal views, raising and solving problems and thinking quality of listening to others. Therefore, this paper studies the practical effect of using Production-Oriented Approach to cultivate students' key English learning abilities, so as to promote the overall improvement of students' English personality, quality and practical skills in English application.&lt;/p&gt;
Facial Biometric For Secure Login Using Facial Feature Extraction

Face recognition is becoming popular over time and is one of the most important topics in research. It has had many applications in the field of research and has also identified the importance of global or real-world use over the past few years. Facial recognition technology is a challenging area for pattern recognition and computer vision. Most research is limited to the facial recognition system. However, we need to improve the face recognition system because of poor performance and under working conditions. Face recognition technology is used to identify an authorized person especially for security purposes. In this facial recognition technology there are challenging aspects such as the same face, twins, same person of different ages etc. The paper is conversational. This paper discusses the various techniques used for facial feature extraction.
Application of Database Auditing for Students‟Academic Records

A database holds essential assets of an organization.Students' information, customers' information, employees' information and employers' information of an organization are being kept in the databases.There has been an increase in reported occurrences of data abuses especially by insiders.This research work aimed to investigate for appropriate database auditing techniques applicable on students' academic records and present logical steps and procedures for implementation using SQL/PLSQL programming in Oracle 11g.Yobe State University (YSU) was used as a case study.Trigger-based auditing, fine-grained auditing, auditing SYS users, and audit trail management are found to be appropriate techniques implemented and evaluated in the proposed developed YSU system.In addition, database security in term of careful creation of database users, privileges allocation to the users, and auditing the activities of the users are also found to be things of significant concern for the reliability and integrity of data.Empirical evaluation showed that application of database auditing on students' academic records could check proud and internal threats imposed by insiders.
PERFORMANCE ANALYSIS OF K-NEAREST NEIGHBOURS ALGORITHMS FOR AUTOMATIC HANDWRITTEN DEVANAGARI TEXT GENERATIONIN MARATHI STYLES

The Devanagari scripts forms the backbone of the orthography of several Indian languages includesHindi, Sanskrit and Marathi. With the increased demand, exploration and globalization of digital Devanagaridocuments, different printed and handwritten document recognition techniques have involved since last 20 years.In this paper recognition process is working with the four different stages such as pre-processing, segmentation,feature extraction and recognition with text generation. It works supported the 2 phases like training and testingphase. The proposed method is implemented within the python platform and it compared with the Artificial NeuralNetwork (ANN) and K-Nearest Neighbours (KNN). The performance of the proposed method is analysed withstatistical measurements of accuracy, precision and recall.
Search Target Swarm Robot Algorithm

In this project, the aim is to provide a better background research and scenario result for further study with different kind of searching algorithm, integrated with obstacle avoidance method target seeking method, and also communication method. This project proposed a method that involve of spiral pattern search with Bug2 obstacle avoidance method, light sensor of target seeking, and radio frequency communication method. The method will be tested with different algorithm such as Random search algorithm, Region Random search algorithm and also Particle Swarm Optimization search algorithm with several scenario from previous project and been modify to fit the real life scenario. Three different characteristic experiments based on the objectives have been carried out in this project, which consist of to test the efficiency of each algorithms in term of time of all targets found, optimized the number of robots in same experiment setting, and effectiveness of each algorithm in term of targets found in limited time. Total 112 experiments is carried out in this project, each experiment will be carried out with 4 different type of obstacle arrangement with 3 times to get the average time. The result of this project shows the spiral search algorithm used up the lesser time and constantly found targets in the environment while other used up more time and easy to lost target in the given time limit. The optimized number of robots for spiral and region random is found to be 3 robots in the same experimental settings. In a nutshell, this project achieved all the objectives and prove the efficient and effective of spiral compare to all others algorithms mentioned above in term of full coverage area, time constraint and obstacle avoidance. Webots simulation is limited to perform robot fully random movement and also unable to perform data centralized processing. The result of the project is used to contribute the research of comparison between pattern search and random search and solution to improve the search operation regardless the incident mentioned above an earthquake which happened in Mexico.
The Implication of Multi-System and Fluency Bridge Method in Learning English to the Learning Result of Students in Hary English Course for Elementary Level

The low level of English mastery of learners in Indonesia, which is categorized far from the target, can be seen from the inappropriate application and implementation of English learning systems and methods that are applied in most formal educational institutions that are different from English course institutions. This research is aimed to determine the implication of the multi-system and the fluency bridge method for the enhancement of English mastery of HEC students.&#x0D; The object of the research is 3 students of elementary level of Hary English Course branch Manggisan Indah residential area, Wonosobo. The research has been conducted for approximately 4 months, started from April to July and October to November in 2019 with a private class system. Each class has a different elementary level namely level 1 and 5 elementary accompanied by different learning materials and methods. &#x0D; The result of the research stated that the application of multi-system and fluency bridge method was proven effectively to improve the understanding and the English abilities of HEC elementary students in Wonosobo. This statement is proven through the observation of HEC students before joining and after taking the course, showing a drastic difference in their ability to speak English. This is also showed in their level of interest in learning English, the speed level of understanding the given materials and the results of the post-test which states they graduated from the level that just learned.
REGISTER AND POWER IN INDONESIAN ONLINE GAME (A SOSIOLINGUISTIC STUDIES)

The use of language variations in online games are determined by several factors such as time, place, and situation that results in the emergence of the practice of power. This arises because the production of text is strongly influenced by the context in which in a game, there is a need to win the game. The purposes of this paper is to reveal the forms of registers and their applications that shape the practices of power within them. Data obtained from observations in the game. The data were then analyzed using a sociolinguistic approach by using a semiotic triangle of Halliday as the blade of analysis. The results of this paper indicate that the use of registers focuses on interaction among team and another team members in mocking each other. The conclusion of this paper is that the player who has the best ability, has the authority to manage other gamer's games and can mock his opponent team members as well as his own team.
Implementasi Informasi Portofolio Pada Marketplace Grafis Tradisional (Gambar Tangan)

Advances in information technology are currently very influential in various fields of life, such as education, economics, and social. The public is demands to be able to use information technology to support their activities by utilizing websites as digital media to be able to reach wider marketing through online media. The traditional graphic creators community of Krigan Purwokerto is currently still doing buying and selling works and displaying their works manually so need a system is able to provide the place for creators to display their works and at the same time be able to handle the process of buying and selling works between creators and clients. The purpose of this research is to make portfolio information in the marketplaces especially traditional graphic creators (hand drawings) to be able to reach wider marketing and build brand by providing Creator portfolio information. The method used in this research is the waterfall method and using the PHP programming language and MySQL database. To involve the results of implementing portfolio information in the traditional graphic creator marketplace can increase the creator's value and rating as showed by an increase in the number of followers and can also recommend his work to prospective buyers in the transaction process of traditional graphic creator works
LibGuides: Resources for Remote Teaching & Learning: Archives

Library and Digital Learning remote teaching and learning resources for students and faculty
6th UIC Security Week to be held from 2 – 4 June 2020 at UIC Paris – UIC Communications

The UIC Security Division is pleased to confirm that the 6th Security Week will be held on 2 – 4 June 2020 at Paris UIC HQ. The Security Week will be organised as follows: First day: a seminar on…
Uso de las TIC en la Educación Superior Tecnológica peruana y sus implicaciones

espanolLa era tecnologica ha producido un avance en el area educativa estimulando la aparicion de las aulas virtuales, por lo cual se necesita de docentes preparados para subsanar las dificultades en su empleo tanto de los estudiantes como de ellos mismo. Por lo cual se plantea como proposito determinar los factores asociados al uso de las TIC en los docentes del Instituto de Educacion Superior Tecnologico Publico “Manuel Nunez Butron” de Juliaca para el ano 2017. Siendo una investigacion de campo correlacional. Teoricamente se divide en aspectos sobre herramientas TIC y sus dimensiones, seguido del esquema para las variablesindicadores-subindicadores. Se presentaron los resultados descriptivamente, donde se evidencia que el factor asociado al uso de las TIC es el genero (femenino), aunque el uso por parte de los docentes es regular, manifiestan que promocionan el empleo de las herramientas web 2.0 para los procesos de ensenanza y perfeccionamiento profesional. EnglishThe technological era has produced an advance in the educational area stimulating the emergence of virtual classrooms, which requires teachers prepared to overcome the difficulties in their use both for students and for themselves. For this reason, the aim is to determine the factors associated with the use of ICT in teachers at the Manuel Nunez Butron Institute of Public Higher Technological Education in Juliaca by 2017. Being a correlational field investigation. Theoretically it is divided into aspects on ICT tools and their dimensions, followed by the scheme for the variables-indicators- sub-indicators. The results were presented descriptively, where it is evident that the factor associated with the use of ICT is gender (female), although the use by teachers is regular, they state that they promote the use of web 2.0 tools for teaching and professional improvement processes.
예비교사가 박물관에서 만나는 역사 -‘가르치기 위한 교사 지식’의 생성 관점에서-

Since museum reveals the way in which our present thoughts about the past are created, communicated, and expressed, museum should be highlighted as an educational place you can learn how historical meaning has been made and changed. This study examines the characteristics and possibilities of historical knowledge constructed by museum visitors and suggests the knowledge and competencies that pre-service teachers should have through the implementation of a teacher education program.The emphasis on museum education, indeed, must be a prerequisite for effective museum learning that teachers agree with and actively experience the value of museum education. First and foremost, teachers need to enjoy museum exhibits, expect to learn at the museum, and learn how to teach history at the museum in order for students to have a meaningful museum experience.The case study shows that pre-service teacher examined the role of museum education and history teacher, and the developing principles of museum education program and suggests to provide opportunities for developing their own teaching and learning programs using museum exhibitions. This includes a critical review of examples of museum education programs in the field, reflections on the learning experiences of young students and collaborative efforts with museum educators.
Estimation of Hourly Near Infrared Radiation Using Artificial Neural Network and Performance Comparison with the Semi-Empirical Model at Nakhon Pathom Province

In this research, methods for estimating near infrared radiation (NIR: 0.695–2.8 micron) at Silpakorn University, Nakhon Pathom province (13.82◦N, 100.04◦E) have been developed using an artificial neural network (ANN) and a semi-empirical model. The input data of these models consist of aerosol optical depth (AOD) and precipitable water (W) measured by a Sunphotometer, and clearness index (kt) obtained from ratio of measured incident solar radiation to calculated extraterrestrial solar radiation. The ANN and semi-empirical models were formulated using the collected data at Nakhon Pathom station for the period of 2009-2015. Then, the results obtained from these models were tested and validated against the measured data at the station during a two-year-period (2016-2017). The comparison results show that the near infrared radiation obtained from the ANN and semi-empirical models are in reasonable agreement with the measurement. The root mean square difference (RMSD) are 6.08% and 4.47%, and the mean bias difference (MBD) are 4.91% and 3.02% for the ANN and semi-empirical models, respectively.Keywords: near infrared radiation, artificial neural network, semi-empirical model, Nakhon Pathom
Supply Chain Management Using Blockchain

This paper is focused on various algorithms which have been used to implement “Supply Chain Management using Blockchain”. Blockchain Technology assures immutability and integrity of data, also guarantees a transparent and decentralized transaction system. Supply Chain Management (SCM) has gained symbolic importance due to opening up of domestic economy because of globalization. In recent studies, various centralized technologies used to implement supply chain management have difficulties in resolving problems such as lack of trust in supply chain, information asymmetry of production process. There have been various frauds in the supply of products due to lack of integrity. Blockchain is a  promising technology to address these problems. Current anti-counterfeiting supply chains depend on a centralized authority to contest counterfeit products. Due to this architecture, issues such as single point processing and storage are faced. Blockchain technology has emerged to provide a promising solutions for such issues. Blockchain is fully decentralized and balances between security and efficiency. Incorrect labeling of products, fake or indifferent materials and components used to make products and in appropriated use of another’s trade mark are just a few examples of how counterfeit goods are affecting consumers and companies. Using immutability and transparency features of blockchain along with the concensus algorithm “Proof of Work”, we attempt to provide anti-counterfeiting solution.
A Novel Approach for Density-Based Optimal Semantic Clustering of Web Objects via Identification of KingPins

Background: Clustering is one of the important techniques in Data Mining to group the related data. Clustering can be applied on numerical data as well as web objects such as URLs, websites, documents, keywords etc. which is the building block for many recommender systems as well as prediction models. Objective: The objective of this research article is to develop an optimal clustering approach which considers semantics of web objects to cluster them in a group. More so importantly, the purpose of the proposed work is to strictly improve the computation time of clustering process. Methods: In order to achieve the desired objectives, following two contributions have been proposed to improve the clustering approach 1) Semantic Similarity Measure based on Wu-Palmer Semantics based similarity 2). Two-Level Densitybased Clustering technique to reduce the computational complexity of density based clustering approach. Results: The efficacy of the proposed method has been analyzed on AOL search logs containing 20 million web queries. The results showed that our approach increases the F-measure, and decreases the entropy. It also reduces the computational complexity and provides a competitive alternative strategy of semantic clustering when conventional methods do not provide helpful suggestions. Conclusion: A clustering model has been proposed which is composed of two components i.e. Similarity measure and Density based two-level clustering technique. The proposed model reduced the time cost of density based clustering approach without effecting the performance.
PENINGKATAN PROFESIONALISME GURU SDN 130 PALEMBANG MELALUI PELATIHAN KOMPUTER MENGGUNAKAN APLIKASI MICROSOFT WORD

Along with rapid development computer technology, teachers are highly demanded to improve their competencies to become professionals. As the foundation of education, elementary school teachers deserve attention, in this case including the 130 Palembang Primary School teachers. Attention to these teachers shows that the majority of Palembang 130 Primary School teachers still do not utilize computer technology for the learning process. The limited ability is very possible due to the suboptimal use of software that is commonly used (user friendly) in learning activities. In fact, there are several user friendly software that can be used to facilitate teachers in administering learning activities, one of which is the Microsoft Word application. Based on this, a dedication needs to be made aimed at providing computer training for teachers of Palembang 130 Primary School using the Microsoft Word application. Computer training materials using the Microsoft Word application include the following three things: getting to know Microsoft Word, making activity reports, letters and tables and processing words from composition, editing, formatting, and printing results. By holding training for the Palembang 130 Elementary School teachers, it can facilitate the teachers in administering learning activities so that it can be done quickly and efficiently.
Percepcions dels estudiants sobre el valor de les tecnologies de la informació i comunicació en la seva formació com a docents.

Teachers' attitudes and beliefs play a key role in the implementation of technologies in educational practice. Teacher training programmes in ICT competence, in both initial and in-service training, usually focus on the acquisition of a body of knowledge and the development of certain skills and abilities around the use of technological resources, but they do not usually address teachers’ perceptions or beliefs regarding their value in the teaching-learning processes. This article describes a study carried out in the context of the initial training of future Primary teachers which generate spaces of self-reflection on the value and use of technological resources. The data obtained from a questionnaire administered at the end of the course allow an analysis of the aspects that students highlight with regard to the use of technologies in their training and in their use in the classroom.
Johann Helmich Roman: Bilägers Musiquen (Drottningholmsmusiken)

Johan Helmich Roman (1694-1758) was Sweden's first prominent composer. The suite Bilagers Musiquen (the 'Nuptials Music' also known as the Drottningholmsmusiken) was composed for one of the most illustrious celebrations of the century - the royal wedding in the summer of 1744 between heir to the throne, Adolf Fredrik, and the Prussian princess Louisa Ulrika. The orchestral work is in 24 movements, with a total duration of approximately 60-90 minutes.This is a critical edition by B. Tommy Andersson with basso continuo part by Terence Charlston. It was published by Swedish Musical Heritage, the Royal Swedish Academy of Music in 2019, edition no. 2066, ISMN 979-0-66166-608-0. The score and parts are available open access at this link: http://www.swedishmusicalheritage.com/composers/roman-johan-helmich/SMH-W6659-Bilagers_Musiquen_Drottningholmsmusiken