Reviewerly/exHarmony huggingface dataset:
Spoken content retrieval and understanding using deep learning

Spoken content refers to all content over the Internet which includes human voice, essentially those in multimedia, such As YouTube videos and online courses. Today such content is retrieved via Google primarily based on human-generated text labels, because Google can only retrieve text over the Internet. The goal of this project is to produce technologies to retrieve accurately and efficiently such spoken content directly based on the included audio sounds instead of text labels, because machines today can listen to human voice just as they can read the text. The long term goal is to create a spoken version of Google, which may revolutionize the ways in which humans access information and improve their knowledge. Professor Lin-shan Lee at National Taiwan University is leading this project. He has been a distinguished leader in the global scientific community for the area of teaching machines to speak and listen to human voice for many years.
Steeds FAIRder: verslag van het Urban Vitality zaaigeldproject 'FAIR: geen woorden maar data'

Report of the project 'FAIR: geen woorden maar data' about the FAIRification of research data (in Dutch). It describes the proof of concept for implementation of the FAIR principles. The implementation is based on the resource description framework (RDF) and semantic knowledge representations using ontologies.
An Exploration into Reading Social Phenomena and Writing Education Methods Using Keywords

This thesis made explorations into reading social phenomena and writing methods that utilize keywords as a part of liberal education in universities.<BR> To establish direction in life and to design life as an adult in uneasy circumstances where the future cannot be predicted, it is necessary to understand how society of the here and now, which is one"s foundation for living, has been constructed and what principles operate society.<BR> This thesis reads principles that make the world turn by examining and analyzing keywords and by presenting the analysis results, it proposed methods that allow participation in social problems through writing that shares social problems with students and further, allows opinions to be voiced regarding related topics.<BR> Such methods will be meaningful educational methods as they naturally induce interest in social problems and provide opportunities for social problems to be recognized as one"s own.
Level of Implementation of PNP Oplan Double Barrel in the Province of Camarines Sur: Basis in Formulating a Holistic Rehabilitation Program for Drug Surrenderees

In support of the Barangay Drug Clearing strategy of the Philippines, the Oplan Double Barrel program was implemented under PNP Command Memorandum Circular No. 16- 2016. The program impacted almost all sectors of the community, especially the drug surrenderees. This quantitative descriptive research evaluated the level of implementation of PNP Oplan Tokhang in the province of Camarines Sur. It determined the effectiveness of intervention strategies towards the rehabilitation of the drug surrenderees. A survey questionnaire was administered to six hundred twenty-four (624) respondents, and it was collected, analyzed, and interpreted using weighted arithmetic mean Kruskal Wallis H and Mann Whitney U test to compare the response. Data revealed that three (3) phases of Oplan Tokhang were effectively implemented. However, the problem with the scarcity of financial resources to provide health and other social services, insufficient rehabilitation personnel, and limited rehabilitation facilities are encountered. Hence, the government should increase budget allocation for the rehabilitation services and strengthened the holistic community-based rehabilitation towards effective oplan tokhang.
Investigating the Students’ Writing Ability in Responding to Environmental Issue

The purpose of this study is to investigate Foreign Language (FL) learners' ability in writing an essay by using an environmental topic in terms of how they write the introduction, the body of the piece, and conclusion through content analysis design.Twenty-nine students, who took an academic writing class in the academic year 2019-2020 in a private College of Teachers Training and Education (STKIP PGRI) in Pasuruan, Indonesia, become the sample of the study.The result shows that to write the introductory paragraph, the majority of the students (69%) uses general way to open the essay, while the rest prefers questions (24%) and anecdote (7%).The result also shows that almost all the students can state their thesis statement (97%).The body of the essay is organized by using a cause-effect relationship (17%), reasoning (38%), problem-solution (10%), and the combination of those (35%).Moreover, almost all the paragraphs in the body of the essay have their topic sentences (90%).In terms of the concluding section, all students can provide proper conclusions for their essays by using recommendation or advice (48%), summary (48%), and hope (4%).In sum, using an environmental topic can help the students to write better because the issue is close and personal.Furthermore, the issue triggers students' self-awareness to protect their environment.
Robot laser shooting game based on object recognition

The laser targeting sensor studied is composed of laser emitter tube, photovoltaic cell and conversion circuit. The combination of laser targeting sensor and raspberry PI can create laser targeting robot that can be used for games. The algorithm research of shooting vehicle detection is carried out, in which the process of making training sample set is introduced in detail, the HOG feature process of shooting vehicle is extracted, the SVM classifier model of shooting vehicle detection is trained, and the detection effect is well demonstrated by drawing the form of detection border.The system realizes tswitching the running mode of the wheeled robot (shooting vehicle mode or target vehicle mode), adjusting the laser emission Angle, firing laser, automatic obstacle avoidance, random walking, avoiding shooting vehicle and hitting alarm.
i-Saturate: The New Discovery of Stopping Criterion in Genetic Algorithm

A stopping criterion for evolutionary algorithms like Genetic Algorithm (GA) is crucial in determining the optimum solution. It is common for a stopping criterion like maximumgenerations or fittest chromosome repetition used in GA to solve hard optimization problems. However, these stopping criteria require human intervention to make certain changes. In this study, a new stopping criterion called i-Saturate that measures saturation of population fitness of every generation chromosome (in GA searching process) is reported. The searching process would stop when the fitness deviation of the population was small. A model using fittest chromosome repetition was developed to compare the efficiency with i-Saturate. It was found that the performance of the developed model was good at the low mutation rate (0.01,0.02) butthe i-Saturate model was better when mutation rate was greater than 0.03. The probabilities of the i-Saturate model finding global optimum solution were very close to 1 when mutation rate was above 0.07. It was concluded that the i-Saturate model has demonstrated better searching ability than the comparative model and it intelligently stops searching without human intervention.
The Admissibility of Digital Document: Review on Its Current Classification from Islamic Perspectives

Digital document is now widely used and actively growing. Any digital document should be relevant, authentic and reliable before being presented in court as evidence.Thus, the basis of this study to determine the admissibility of a digital document from Islamic perspectives particularly the theory, opinion from scholars, law provisions, and the classification of the digital document from Islamic perspectives. This study used content analysis methods on a variety of data obtained including classical and modern legal books, scholarly opinions including books, journal articles, reports, standards, internet publications, and government documents. This study suggests whether the Islamic perspectives only highlight the official and unofficial documents and the is it required for having current classification in this new era? It is to ensure that we do not justify the wrong jurisdiction related to the digital document of topic. Artificial Intelligence (AI), Virtual Reality (VR) and Augmented Reality (AR) also have been reviewed in an extensive form related to digital document from Islamic perspectives.
Problems and global challenges of small and medium enterprises (SMEs) in Iran

The development and prosperity of Small and Medium Enterprises (SMEs) are crucial to the development agenda of any economy in the world, be it in developed or developing countries. This is especially so for Muslim countries, most of which fall under low-income countries. Literature is replete with the roles and importance of Small and Medium enterprises in the development of any nation. These include, among others, the creation of employment, source of innovation, export generation, income generation, poverty alleviation, and the source of future medium and large enterprises. There isn’t a unanimous definition of SMEs anywhere in the world, and Muslim countries are not an exception. Thus, there exist various definitions of SMEs in Muslim countries. Small and Medium Enterprises have been defined traditionally based on several indexes: number of employees; amount invested; total assets; sales turnover and production capacity. However, the definition based on the number of employees is common in most of the Muslim nations. The SMEs sectors in Iran play a very vital role in economic development and entrepreneurship growth because the SMEs sector is private. In this paper, we find that the main causes of the problems and issues of the SMEs sector are based on a lack of entrepreneurship talents and training because of the factors hindering innovation. We try to find out the role of government-based training institutes and as well as semi-government institutes in entrepreneurship development in the SMEs sector in Iran.
The adaptive spatio-temporal clustering method in classifying direct labor costs for the manufacturing industry

Employee productivity is critical to the profitability of not only the manufacturing industry.By capturing employee locations using recent advanced tracking devices, one can analyze and evaluate the time spent during a workday of each individual.However, over time, the quantity of the collected data becomes a burden, and decreases the capabilities of efficient classification of direct labor costs.However, the results obtained from performed experiments show that the existing clustering methods have failed to deliver satisfactory results by taking advantage of spatial data.In contrast to this, the adaptive spatio-temporal clustering (ASTC) method introduced in this paper utilizes both spatial and time data, as well as prior data concerning the position and working status of deployed machines inside a factory.The results show that our method outperforms the bucket of three well-known methods, namely DBSCAN, HDBSCAN and OPTICS.Moreover, in a series of experiments, we also validate the underlying assumptions and design of the ASTC method, as well as its efficiency and scalability.The application of the method can help manufacturing companies analyze and evaluate employees, including the productive times of day and most productive locations.
Development of Solar Tracking Robot for Improving Solar Photovoltaic (PV) Module Efficiency

Solar energy is considered as the cleanest and most abundant renewable energy source available planet-wide. Solar energy is produced by the sun’s light that can be harnessed and converted directly into electrical energy using solar photovoltaic (PV) module. The solar energy that is harnessed is used for generating electricity, and heating water for domestic, or industrial use. However, conventional solar panels are usually installed in a fixed position where the solar panel does not change orientation towards the sun as it constantly changes position varying with time. As a result, these solar panels are unable to acquire maximum exposure of solar radiation which results in low energy conversion efficiency. Therefore, the aim of this project is to develop a four wheeled base automated solar tracking robot that is capable of tracking light source. The efficiency of solar photovoltaic (PV) module was increased since the robot automatically tracks the movement of the sun for maximum amount of solar radiation. The main components of the robot were consisted of microcontroller, light sensors, servo motors and DC motors. The robot was programmed to detect light source by calculating the average resistance value between four light dependent resistors (LDR) and servo motors to rotate panel either vertically or horizontally. When there is shading on the solar PV module, DC motors was rotated to move the robot to search for new light source. The robot was tested based on its ability to detect light effectively and accurately. The robot was able to track light accurately with accuracy of 93.33%. The performance of solar tracking robot was also analysed by comparing the output power between solar tracking robot and fixed panel. It is found that the solar tracking robot was able to provide a 10.47% increase in solar energy conversion efficiency compared to fixed panel.
USE OF BYOD TECHNOLOGY IN EDUCATIONAL PROCESS

The article deals with the issues of application BYOD technology in educational process. The rapid development of digital technologies is affecting modern society, bringing certain changes not only to social sphere and everyday life, but education as well. The article presents a framework of digital technologies in education. The meaning of the terms “digital technologies”, “digital device”, “digital educational environment”, “digital learning”, “digital competence” is studied. Digital educational environment makes it possible to personalize the learning system. On the basis of an experiment conducted among first-year students of the National University “Zaporizhzhia Polytechnic”, the technical capabilities of students’ smartphones were established. The origin of the term “BYOD” is researched. It is found that BYOD means the use of personal digital training equipment and is the responsibility of the owner, who is interested in its continuous operation. Digital technology has been found to provide teachers with real-time analysis of each student’s performance, providing instant feedback, and the ability bridge the gaps in students’ achievements. Students benefits are in improving communication, developing cooperation and motivation, increasing success and, as a result, promoting culture of independent work. An important factor for the successful pedagogical activity of the teacher is to take into account the psychological characteristics of “Generation Z” students. The problem of accepting or rejecting BYOD technology by all the participants of the educational process is considered. Key words: digital technologies; digital learning; digital educational environment; digital competence; BYOD technology; “Generation Z”.
Algoritmo de lógica fuzzy para sistema de seguimiento solar

espanolEl proposito del estudio fue implementar un sistema de seguimiento solar de dos ejes controlado por algoritmo de logica difusa, optimizando la recoleccion de energia respecto a paneles solares de orientacion fija. El control difuso se realizo en plataforma LabVIEW, construyendose un prototipo para verificar que un panel solar ubicado en un seguidor solar de dos ejes utiliza mejor la energia que el de una orientacion fija. Se realizo la prueba U no parametrica de Mann-Whitney. Como conclusion, el prototipo de panel solar de dos ejes permitio validar el algoritmo de control difuso para un seguidor solar de dos ejes. EnglishThe purpose of the study was to implement a two-axis solar tracking system, controlled by a fuzzy logic algorithm, optimizing energy collection with respect to fixed orientation solar panels. The diffuse control was performed on the LabVIEW platform, building a prototype to verify that a solar panel located on a two-axis solar tracker uses energy better than that of a fixed orientation. The non-parametric Mann-Whitney U test was performed. In conclusion, the two-axis solar panel prototype allowed validating the fuzzy control algorithm for a two-axis solar tracker.
The Students’ Reading Competency on High Order Items in the Junior High School

This study aims to describe and compare the students’ reading competencies on high order items across classes, text genres, and reading indicators in SMPN 1 Ubud. The design implemented was descriptive and comparative research. The population of this research was the seventh grade students of SMPN 1 Ubud and the samples were four intact classes which determined through Cluster Random Sampling. The data were gathered by using Reading Competency Test. The collected data were then analysed descriptively and then inferentially by implementing a parametric statistics, namely: 1) central tendency measures, 2) measures of dispersion, and 3) simultaneous comparison. The result shows the students’ reading competency categorized as poor reading competency and there was not significance different in students’ reading competencies on high order thinking items across classes, text genres, and reading indicators. Poor reading competencies implies both of the students and EFL teachers to train intensively and extensively in reading process in order to have ability in determining the reading indicators of both descriptive and recount texts.
영어 뉴스 미디어 활용 딕토글로스 활동 수업이 EFL 학습자의 영어듣기 능력에 미치는 영향

The purpose of this study was to explore the effects of dictogloss activities using English news media on EFL learners’ listening proficiency. Fifty seven EFL college students divided into two groups, an experimental group and a control group, participated in this study. The instructional materials used in this study were the same in both groups, partaking in an English class that involved both traditional English materials and authentic materials during the period of the treatment. However, for examining the effects of dictogloss activities using English news media on students'' listening proficiency, the experimental group received instruction in which traditional dictation activities were replaced by dictogloss activities during some portions of the listening instructions for the eight-week period of the treatment. According to the results of the study, the effects of dictogloss activities using English news media in the EFL classroom was statistically significant, although both groups showed significant improvements in listening during the period of treatment. Several implications are presented based on the findings of the study.
Public Sentiments Analysis about Indonesian Social Insurance Administration Organization on Twitter

Insurance Administration Organization, which can be used by all people. However, this organization has received various criticisms from the public through social media, namely Twitter. This study aims to analyze public sentiment about the Indonesian Social Insurance Administration Organization on Twitter. The method used in this research is the Naive Bayes Classifier (NBC) method and uses the Support Vector Machine (SVM) method as a comparison. The amount of data used was 12,990 tweets with a data collection period from September 14, 2019 - February 18, 2020. The study compared the two classifier models built, namely the classifier model with two sentiment classes and four sentiment classes. The accuracy results show that the SVM method has a better accuracy value than the NBC method. SVM has an accuracy value of 63.60% and 82.77% for the two sentiment classes in the four sentiment classifier model. The tweet classification results show that the public's conversation about the Indonesian Social Insurance Administration Organization on Twitter has a negative polarity value tendency.
A journey to matching reader and text

As someone who struggled with emergent literacy, I am constantly fascinated by how a particular storybook could have helped transform me into someone who is literate. This fascination lies at the heart of my research in readability. To understand how certain books hook a reader who then becomes engaged in reading, this chapter aims to reveal factors affecting readability. Thus, it tries to analyse whether factors that affect the New Model of Readability that has been developed for an English speaker would be the same or different for readers in other languages. Hence, factors affecting two cases of readers from different backgrounds when interacting with texts were observed and analysed. Miscue analysis, retelling and interview sessions were used as instruments for data collection. The findings show more similarities were found than differences in terms of the factors affecting the readers from different backgrounds when interacting with texts. Therefore, the findings show that the New Model of Readability can be applied across different cultural backgrounds. Nevertheless, findings also show there are possibilities in expanding the model in terms of reading in second or foreign languages.
Every nook and cranny: making the library central to research and engagement

This article discusses the institutional spaces, both large and small, where academic libraries may become embedded in research-related activities throughout the university. It then goes on to consider some of the possible changes and outcomes as a result of the Covid-19 pandemic. It outlines current research on opportunities for change in libraries, researcher demands, collaboration and the need for more research about working together. It concludes by suggesting that libraries and individuals should embrace principles of ‘planned happenstance’ so as to expand what may be possible with our new working spaces and realities.
INTEGRATING STEGANOGRAPHY AND CRYPTOGRAPHY TECHNIQUES IN IOT CLOUD FOR SECURE DATA TRANSFER

Steganography is the strategy for concealing mystery data like content, secret phrase, picture and sound behind unique spread record. In current days Internet of Things (IoT) is increasing its popularity due to its advanced feature of transferring the data from one location to another location per every second. Although it is having a lot of users attention but still it is having a main limitation like security is a challenging task. There are a lot of primitive methods for enabling security of IoT data transfer but neither of the methods provides complete security. In this proposed thesis we try to improve the security by concentrating on user authentication and data privacy, for this we try to integrate two techniques in the current application .One technique is steganography which will hide all the sensitive information very secretly and accurately from the un-authorized users and another one is cryptography technique which is used to encrypt confidential data that came from different medical sources. In this proposed thesis work we try to use Elliptic Curve Cryptography as an alternative to traditional techniques for public key cryptography, it involves very less number of bits suitable for resource constrained and wireless applications without compromising on the security level. Next, a Least Significant Bit (LSB) Encoding steganography technique is used to embed the encrypted data into a low complexity image. By conducting various experiments on our proposed integrated methods on some random images, our comparison results clearly state that our proposed approach give high level of security for the user data while transfer under IOT cloud devices with very less time complexity.
Experimenting with subject alternatives for analysing generic sentences

In this paper we argue that for the (probabilistic) interpretation of generic sentences of the form ‘Gs are f ’ alternative groups, or kinds, of G play an important role. We describe the results of some experiments that empirically test this use of alternatives.