Reviewerly/exHarmony huggingface dataset:
A comprehensive analysis of obstacles detection techniques using convolutional neural networks for visually impaired persons

The aim of this paper is to give a comprehensive survey in the field of object detection using deep learning techniques. Convolutional Neural Network(CNN) helps to classify more than one objects in the environment with great accuracy. The paper will highlight the features of CNN variations with time that help the researcher to incorporate the CNN in developing Electronic Travel Aid for the Visually Impaired(VI) person. This study is an effort to report the research community about the capabilities of these neural network algorithms and emphasize the improvements over time. Recent advancement in CNN approach such as You Look Only Once(YOLO) and CSP-Net backbone could bring the ETA more compact, accurate and fast that would be easily affordable to VI.
Learning Precise Temporal Point Event Detection with Misaligned Labels

This work addresses the problem of robustly learning precise temporal point event detection despite only having access to poorly aligned labels for training. While standard (cross entropy-based) methods work well in noise-free setting, they often fail when labels are unreliable since they attempt to strictly fit the annotations. A common solution to this drawback is to transform the point prediction problem into a distribution prediction problem. However, we show that this approach raises several issues that negatively affect the robust learning of temporal localization. Thus, in an attempt to overcome these shortcomings, we introduce a simple and versatile training paradigm combining soft localization learning with counting-based sparsity regularization. In fact, unlike its counterparts, our approach allows to directly infer clear-cut point predictions in an end-to-end fashion while relaxing the reliance of the training on the exact position of labels. We achieve state-of-the-art performance against standard benchmarks in a number of challenging experiments (e.g., detection of instantaneous events in videos and music transcription) by simply replacing the original loss function with our novel alternative---without any additional fine-tuning.
Rancang Bangun Sistem Pendukung Keputusan Penilaian Karyawan Terbaik Pada PT. Surya Toto Indonesia, Tbk Menggunakan Metode Simple Additive Weighting (SAW) Berbasis WEB

PT. Surya Toto Indonesia is a large company in Banten Province. This company is located on Jl. MH. Thamrin km. 7, Tangerang Banten. Until now, the number of employees is around 1.200 employees. With a large number of employees, a proper performance appraisal decision support system is needed so that the work results of employees can be clearly and well defined. Until now, the process for performance appraisal is still using paper or also called manual which causes the process to take a bit longer and reports cannot be enjoyed in real time. From the existing problems, a web-based decision support system is needed which will be able to facilitate all parties related to the performance appraisal process. The method used begins with communication with the parties involved. Furthermore, planning, the process of data collection, analysis, planning, and finally reporting is carried out. The conclusion from this suggests that using the existing criteria provides two more criteria. By giving weights and calculations performed on three employees, the score obtained for employee C got the highest score (0.92) followed by employee B, and the lowest score (0.84) was employee A.
Lightweight Cryptography Algorithms for IOT Devices

Lightweight cryptography is a new concept for securing data more effectively while using fewer resources and providing greater throughput, conservatism, and low battery consumption. Every fraction second, the Internet of Things (IoT), which connects billions of objects, generates massive amounts of data. As the number of devices grows, so does the amount of data generated, and the security of that data becomes a concern. In IoT architecture, gadgets are essentially smaller and low-powered. Because of their complexity, traditional encryption methods are computationally expensive and take many rounds to encrypt, basically wasting the limited energy of IoT devices. However, a less sophisticated method may jeopardise the intended fidelity. There are various lightweight cryptography techniques available, and we choose one of the symmetric encryption techniques known as Advanced Encryption Standard (AES). The speed of this algorithm is six times that of triple DES.
Implementasi Keamanan Jaringan Berbasis VPN dan Anti - DDoS dalam Melindungi Server Linux dari Serangan Hammer

Although there are many security methods that can be used to block DDoS attacks, for now these methods are arguably less effective, because many hackers have known bugs from the system or security methods. From the background of this problem, testing the security of Linux Mint servers, Linux Mint without VPN and Anti DDoS, implementing network security from hammer attacks on Linux Mint Linux servers with VPN and Anti-DDoS, and testing DDoS and VPN attacks have been successfully implemented. on linux mint. Anti-DDoS and VPN are able to prevent DDoS attacks on Linux servers by blocking unknown IPs from accessing the server and redirecting attacks to virtual IPs provided by the VPN.
The phonic method for improving students’ speaking ability

The study was underlain by the child's introduction to letters performed by memorization, in which the children find it difficult to know it in sequence. Therefore, the purpose of this study was to increase children's ability to know the letters through phonic methods. The study applied the Class Action Research (CAR) Method with a model of Kemmis and Taggart. The data collection technique used is observation and test. The result of the study showed that a child could recognize the vowel and consonants. However, no child can recognize the initial letter sounds of the images of objects contained on the card, and there was no child able to combine letters into syllables and words at the pretest stage. In cycle I, there are 12 children able to recognize the vowel and consonant letters, 13 children can recognize the initial letter sounds of the images of objects contained on the cards, and 12 children can combine letters into syllables and words. In cycle II, there are 17 children able to recognize vowel and consonant letters, 16 children can recognize the initial letter sounds of the images of objects contained on the cards, and 15 children can combine letters into syllables and words. Thus the application of the phonic method can improve child-speaking ability.
Android App: Appno ki Madad (AKM)

In covid-19 we have seen in our localities/societies/village people faces lot of difficulties and problem and they really want to help each other but they don't know which person need help and how to help them. by taking all these into accounts we have made an application on a small scale in which people can help each other. In this research paper we have done complete analysis of an android application developed by us for to help in need. this paper refers the aim behind developing the android application in this paper we have mentioned how we can help each other in needy and keep record . In addition this paper also gives an introduction of some basic concepts of android application development.
COHERENCE OF THEORIES OF BIBLIOPSYCHOLOGY OF M. RUBAKIN, INFORMATION METABOLISM OF A. KEMPINSKI

The purpose of the article. To advance arguments for the coherence of the fundamental concepts in the theories of bibliopsychology by Mykola Rubakin and information metabolism of Anthony Kempinski and therefore to justify the feasibility of complex-systemic use of these theories to stipulate the latest holistic epistemological doctrine. The methodology of the research implies the application of general scientific and special methods, namely: conceptual logical-notional analysis and synthesis on the basis of analytical-synthetic processing of information; logical and system approaches based on the comparative method. The scientific novelty of the work lies in the actualization of the theories by M. Rubakin, A. Kempinski through positioning them as coherent, in particular, by establishing relationships between them at the level of individual aspects of the creation and functioning of terminology, basic conceptual elements and postulates of a holistic independent system as correlates; hence it aims at expanding ideas about the importance of these concepts for the formation of the latest disciplinary matrix of the system of social communications, modernization of higher library-informationeducation, improving the practical activities of information and library sphere. The phenomenon of coherence in the system of modern scientific discourse is presented as a promising methodological concept used by various scientific communities, given the current trend towards complex systemic interdisciplinary research. Conclusions. The comparative analysis of the theories of bibliopsychology and information metabolism has proved their coherence at the level of original term compounds and fundamental concepts. Moreover, the study established the prospects and feasibility of individual special studies aiming at systematization and synthesis, which will ensure the future integration of other related concepts and theories, as well as create a general synergy effect in the study of cognitive theory.Key words: bibliopsychology, information metabolism, coherence, utilization of bibliopsychological values, mnemonics.
Analysis of the Collaborative Learning Application in Reading Material at Ninth Grade of SMPN 7 Kinali Pasaman Barat

This research was designed to find out and analyze of the collaborative learning application in reading material at ninth grade of SMPN 7 Kinali Pasaman Barat. This research conducted due to several problems found in the field which were students make a fuss when working in groups, students do not listen to given the assignment by the teacher. It can be seen that there were students who work on group assignments that care and others were just busy talking with others. This research was done in order to answer the research question “What were the role of student and what were the role of teacher in collaborative learning at the ninth grade of SMPN 7 Kinali Pasaman Barat?” This research was a qualitative research using collaborative learning strategy. The purpose of this research was to find out and analyze the collaborative learning applicationin reading material at the ninth grade of SMPN 7 KinaliPasaman Barat by analyzing the teacher’s and students’ role in the collaborative learning. The researcher used interview and observation as the instrument of the research. The interview was directed to both students and teacher, which for the students contained 12 questions and for the teacher contained 7 questions. The researcher took 2 classes namely IX1 and IX2 as the observation object. Based on the finding from interview and observation of the collaborative learning in SMPN 7 Kinali Pasaman Barat, it was found that the teacher already fulfilled her role in the collaborative learning effectively, in the other hand the students still lack of the role as the cheer leader. They still laughed at their friends mistake. Besides that, the other roles that the students supposed to have were already done effectively. As the conclusion, the collaborative learning in SMPN 7 Kinali Pasaman Barat was good since the students and the teacher were doing their role effectively
WEBSITE OF EDUCATIONAL CLUSTER AS A TOOL OF OPENNESS AND PUBLICITY OF HIS ACTIVITIES

Educational clusters, combining pedagogical universities, schools and business, provide an entirely new scientific and educational space of practice-oriented professional training of future teachers and schoolchildren based on modern cloud and distance technologies. Despite the successful functioning, their activity is still not reflected in the net and is practically inaccessible to the general public. The article substantiates the need to develop an information and educational site for the educational cluster «school - teacher training University – business» to position it on the Internet in order to attract public attention, to ensure information transparency and transparency of its activities. Its structure, composition and content of information materials published on its pages are given, the requirements for content are described.
Utility of Large-Scale Recipe Data in Food Computing

This article aims to look at the recipe data analysis from a critical perspective, offering the authors' own learning experience from successes and failures of the research process.The present recipe research has been limited by the availability of data, which in the case of recipes mostly consists of texts depicting a variety of ingredients.This has contributed to a better understanding of flavour formation and nutritional value of food but has not led further to establishing a corpus of healthy and unhealthy foods.Time-related cooking aspects have remained largely out of the present research's scope due to the difficulties in obtaining immediately analyzable data.The same goes for the recipe-relate research on food texture, color and other aspects.In this research the methodology of topic modelling has been applied to analyze recipes in North American and Mexican cuisines in order to highlight the core culinary themes within these two cuisines.Potential for result analysis, as well as its limitations, are also discussed.Topic models of agglomerated data can be helpful in further multisensory research, as they provide some insights into the colour, the flavour and, potentially, the texture of certain groups of dishes.It can be combined further on with social media sentiment analysis and other research methods to better grasp the human relationship with food.
Perangkat Lunak Berbasis Opensource di Bidang Telekomunikasi Untuk Menumbuhkan Minat Siswa di Purwakarta terhadap Teknologi

Nowadays, opensource-based technology has begun spreaded into telecommunications field. It can be seen by the number of distributed opensource-based software tools at telecommunications field. The use of opensource based software has a huge impact both on the speed of innovation and for any individual that involved in opensource based projects. The Sistem Telekomunikasi Study Program from Universitas Pendidikan Indonesia Purwakarta Regional Campus has held an opensource introduction activity in the field of telecommunications for high school students (SMA, MA, SMK) in Purwakarta at August 29, 2020. This activity aims to introduce the opensource paradigm to grow their interest and attraction of participants to start looking at source code, trying to use it thus they can contribute to opensource projects. Activities are held offline according to the Covid-19 protocol using blended learning method. The results of the activity showed that the participants were very satisfied with the event and interested in further learning about opensource based tools.
Human Uncertainty Inference via Deterministic Ensemble Neural Networks

The estimation and inference of human predictive uncertainty have great potential to improve the sampling efficiency and prediction reliability of human-in-the-loop systems for smart healthcare, smart education, and human-computer interactions. Predictive uncertainty in humans is highly interpretable, but its measurement is poorly accessible. Contrarily, the predictive uncertainty of machine learning models, albeit with poor interpretability, is relatively easily accessible. Here, we demonstrate that the poor accessibility of human uncertainty can be resolved by exploiting simple and universally accessible deterministic neural networks. We propose a new model for human uncertainty inference, called proxy ensemble network (PEN). Simulations with a few benchmark datasets demonstrated that the model can efficiently learn human uncertainty from a small amount of data. To show its applicability in real-world problems, we performed behavioral experiments, in which 64 physicians classified medical images and reported their level of confidence. We showed that the PEN could predict both the uncertainty range and diagnoses given by subjects with high accuracy. Our results demonstrate the ability of machine learning in guiding human decision making; it can also help humans in learning more efficiently and accurately. To the best of our knowledge, this is the first study that explored the possibility of accessing human uncertainty via the lens of deterministic neural networks.
Music beyond human: A conversation with Michel van der Aa

My first encounter with the Dutch composer and director Michel Van der Aa's
Eye Tracker for Password Authentication

In today’s quickly expanding digital environment, security is one of the most important worries that everyone has. Personal Identification Numbers, or PINs, are used to address security issues. Password authentication with PINs, on the other hand, requires clients to physically enter the password, which can be cracked via heat monitoring or thermal tracking. Hands-off gaze-based password or PIN entering techniques used in password or PIN authentication leave no physical traces and so provide the highest level of security for the password or pin entry. Gaze-based authentication entails tracking the eye center and examining the client's gazes for password entering and finding the position of eyeballs across sequential frames of the image. The term "eye detection" refers to the detection of eye characteristics in a single frame. The method of measuring and correlating the positions and movements of the eyes is known as eye-tracking. Blinking ratio of the eye is used for entering the password which will then be compared with the original password for authentication process.
LABLASS and the BULGARIAN LABLING CORPUS for Teaching Linguistics

The article reviews the first steps in integrating CLARIN into the curriculum at Konstantin Preslavsky University in Shumen, Bulgaria.It discusses the transition from informational seminars for undergraduate and PhD students of different majors regarding the possibilities of this European interdisciplinary network all the way to the specific first steps towards integrating its resources and instruments in the process of education.The focus here is on the approbation of resources and instruments developed within the ClaDA-BG project and, specifically, on the application of two products of the LABLING Laboratory of Applied Linguistics at Shumen University as technological partner to the National Consortium ClaDA-BG -the LABLASS web-based system for researching free speech associations and the BULGARIAN LABLING CORPUS of systematized child speech data.The introduction of their pilot versions emphasizes their importance for achieving higher standards of research work although the accent falls on their application within teaching Linguistics.They concern the updating of the curriculum content and the practical modules of various linguistic disciplines, the creation of new resources, the introduction of interdisciplinary scenarios for classwork with teachers of different academic backgrounds (a linguist and an IT specialist), as well as the transitioning of the teaching process out of the classroom and into the research lab.
Development of textual analytics tools for analysis of public and specialized sources in the tasks of foresight and system analysis

A combined approach to extracting concepts and constructing classifiers and ontologies using open and proprietary software packages has been developed. Modern approaches, methods and models of storing large amounts of poorly structured information from Open Source software sets are studied. An ontology was built, in the leaves of which a classifier based on Boolean rules was implemented using SAS(R) Content Categorization Software. To build the ontology, the approach of constructing vectors of related concepts is employed using the Open Source library of Gensim software, namely the Word2Vec model. A typical algorithm for constructing a classifying ontology has been developed. The results of the research can be used to build an ontology of subject areas, create classification ontologies and mark corpora of texts.
Literature Management and Scholarly Communication at USN

Background: The PhD course Literature Management and Scholarly Communication was established in 2019 through a library-faculty collaboration. This is the first accredited generic and interdisciplinary PhD course at this university, and it provides 5 ECTS credits. The course has participants from all our eight PhD programs, researching topics spanning from religion to robotics. Our main idea was that bringing PhD candidates from different programs together for such a course may add extra value in the form of enhancing communication and understanding across the disciplines.&#x0D; Methods: The study has a mixed methods design. A preliminary survey was conducted in 2017 to reveal the PhD candidates’ information needs, which provided a basis for planning the course content. To examine the candidates’ learning outcomes and further improvements for future courses, NVivo was used to analyse observations that were recorded during the course, in addition to the participants’ course essays and evaluation forms.&#x0D; Results: The 2017 survey had a response rate of 43% (n=91). More than 50% of the respondents expressed a need for library courses in literature searching, systematic reviews, research data management and the publishing process. The PhD course was designed based on these findings and has become a popular course with a total of 111 participants on four courses, of which 23% are international candidates and 7% are affiliated with other universities. The main finding was that several of the participants found the course surprisingly useful to their research and to their career plans.&#x0D; Discussion: Having a generic course for early-stage researchers from such a diversity of fields was challenging, and the article discusses several issues to consider for future courses. Most importantly, the prior knowledge was vastly different among the participants. This emphasizes the need for increased library-faculty collaboration to reach out to all PhD candidates in an early stage.
Using Word Embeddings to Analyze Teacher Evaluations: An Application to a Filipino Education Non-Profit Organization

Analysis of teacher evaluations is crucial to the development of robust educational programs, particularly through the validation of desirable qualities being reflected on in the text.This research applies Natural Language Processing techniques on a real-world dataset from a Filipino education non-profit to explore insights from analyzing evaluations written by Teacher Fellows who assess their own progress.Prior to this research, only qualitative assessment had been conducted on the text.Inspired by the use of word embedding similarities to capture semantic alignment, we utilize GloVe embeddings to determine to what extent these evaluations reflect concepts critical to measuring the competency of Teacher Fellows and upholding the organization's Vision and Mission.As Fellows' quantitative ratings improved, so too did their demonstration of competency in the text.Further, Teacher Fellow language was consistent with the organization's Vision and Mission.This research therefore showcases the possibilities of NLP in education, improving our understanding of Teacher Fellow evaluations, which can lead to advances in program operations and education efforts.