Reviewerly/exHarmony huggingface dataset:
The Use of QLRBP and MLLPQ as Feature Extractors Combined with SVM and kNN Classifiers for Gender Recognition

Security systems must be continuously developed in order to cope with new challenges. One example of such challenges is the proliferation of sexual harassment against women in public places, such as public toilets and public transportation. Although separately designated toilets or waiting and seating areas in public transports are provided, enforcing these restrictions need constant manual surveillance. In this paper we propose an automatic gender classification system based on an individual’s facial characteristics. We evaluate the performance of QLRBP and MLLPQ as feature extractors combined with SVM or kNN as classifiers. Our experiments show that MLLPQ gives superior performance compared to QLRBP for either classifier. Furthermore, MLLPQ is less computationally demanding compared to QLRBP. The best result we achieved in our experiments was the combination of MLLPQ and kNN classifier, yielding an accuracy rate of 92.11%.
Group recommendation method combining short-term interest and long-term preference

Abstract Based on self-attention and outer product-based neural collaborative filtering,this paper proposed a SLAR model.The model uses the recent interaction information of each user in the group and self-attention mechanism to obtain the short-term interest vector of the group.The attention mechanism and self-attention mechanism are used to calculate the influence of each user and the influence between members during the interaction between the target group and item, so as to aggregate them into the long-term preference vector of the group, and then the sum of short-term interest and long-term preference is input into ONCF model as the embedding vector of the group to mine the interaction between the group and the project from the data, and finally complete the group recommendation. Compared with the traditional group fusion strategy on CAMR2011 data set, the experimental results show that SLGR model achieves better results.
ALIGNING ENTREPRENEURIAL ORIENTATION AND OPEN INNOVATION FOR BETTER EXPLANATION OF INDUSTRIAL TUNISIAN SMES PERFORMANCE

The main objective of this research is to examine the effect of the alignment as gestalt of Open Innovation and Entrepreneurial Orientation on the Industrial Tunisian SMEs performance. To achieve this aim, we carry out a quantitative survey with a questionnaire distributed to 110 Industrial Tunisian SMEs and mobilize the perspective of alignment as gestalt of the configurational approach. Our results reveal an empirical taxonomy which distinguishes four Tunisian SMEs configurations named, The Conservative Enclosed, The Committed Exceptional, The Vigilant Receptive and the Innovative Involved. Our findings show that The Committed Exceptional and Innovative Involved configurations register the same high level of performance. However, the Conservative Enclosed is the least performed unlike the Vigilant Receptive configuration which is characterized by an average level of performance. Overall, theoretical and empirical contributions are heralded to advance the relevance of Open Innovation approach to the entrepreneurship theory.
A Brief Tour of Machine Learning Algorithms

Now that we’ve covered the basics of how to program and some of the data structures in Python, let’s switch our focus back to the theoretical and conceptual concepts of machine learning (ML) that were touched upon in the first chapter. This time around, we’ll start talking about specifics for each of these algorithms, namely, focusing on what their inputs and outputs are and how they work (at a high level; going any lower than that involves a fair amount of math that isn’t worth discussing in an introductory book).
Penyuluhan Tentang Pengembangan Literasi Baca Dan Numerasi Melalui Media Pop Up Box di Sekolah Dasar Se-Kecamatan Praya Lombok Tengah

In this era of modernization, the growth of reading and numeracy literacy is expected and required. Nevertheless, significant training is required to use pop-up box media to promote reading and numeracy literacy in a novel way. This community service activity takes the form of counseling and training, which can be divided into two categories: public lectures and guided exercises. Preparation, supplying tools and materials, implementation, and assessment are the processes that will be carried out in this activity in detail. Based on the outcomes of the activities, the implementation of this counseling activity proceeded successfully, and the activities were completed according to the timetable. Preparation, provision of tools and resources, implementation, and evaluation all went off without a hitch. The community service team supplied a response questionnaire relating to the activity's implementation to gauge the success of the activity, with the results of the activity's execution being excellent.
Admissibility of Digital Evidence: A perspective of Pakistani Justice System

Digital evidence is any evidence which can be stored, exchanged or generated in electronic form.Such type of evidence has assumed a crucial role in modern day adjudication of criminal cases.In the recent past, digital evidence was treated as secondary evidence in Pakistan, however, keeping in view its increasing relevance to detect and punish crimes in the information age, some critical legislative changes were made to give the status of primary evidence to the digital evidence.This article suggests that the status of digital evidence has become primary to the extent of its admissibility only.In relation to weight or appraisal, it is still regarded as a circumstantial evidence requiring corroboration.This approach can be changed by judicial precedents implementing the changes brought about by the legislature.
A DIGITAL EDUCATIONAL GAME FOR PRACTICING OER EDITING

The concept of Open Educational Resources (OER) was introduced to the world more than twenty years ago.Despite the fact that countless efforts have been made to promote the development of OER since then, the awareness of OER around the world is still considerably low.Many educators, who are familiar with the concept of OER, still hesitate to use OER in teaching and educational practices because they are concerned of violating copyright laws.This is mainly due to the lack of knowledge and practice in working with the OER.To disseminate the knowledge of OER, we have applied Game-based learning (GBL) and implemented a digital educational game that does not only help players practice editing and combining different OERs using suitable licenses but also motivates them to discover the world of OER by themselves.The game will be integrated within the introductory OER Workshops held at RWTH Aachen University.In this paper, we present the educational game and illustrate its main functionalities.
Design of a Fracture Detection System based on Deep Program in a Convolutional Neural Network

This paper presents an efficient method for finding fractures in bones. For this purpose, the pre-processing set includes increasing the quality of images, removing additional objects, removing noise and rotating images. The input images then enter the machine learning phase to detect the final fracture. At this stage, a Convolutional Neural Networks is created by Genetic Programming (GP). In this way, learning models are implemented in the form of GP programs. And evolve during the evolution of this program. Then finally the best program for classifying incoming images is selected. The data set in this work is divided into training and test friends who have nothing in common. The ratio of training data to test is equal to 80 to 20. Finally, experimental results show good results for the proposed method for bone fractures.
Tools for solving management tasks in economic systems of the «organization» type

The digital economy requires the digital transformation of firms. There is no single solution to the digital transformation process. For each company, the process is carried out according to an individual plan. You can use world experience, but in certain segments of the digital economy, the Russian Federation has gone further than other countries. The authors proposed to consider the problems of digital transformation of energy companies separately. Then combine it into a single approach.&#x0D; Digital transformation is much broader than the digitization of the workflow. Often, digitizing documents does not provide the synergistic effect of digital transformation. Digital transformation requires a change in the entire management system. All strategic documents should be reengineered. Digital transformation requires new models and methods that can use the information technologies and artificial intelligence systems that appear in the future. The introduction of blockchain technologies as part of digital transformation will allow changing the centralized management system. This will lead to significant cost savings. Digital transformation has highlighted a problem related to the lack of basic competencies of the digital economy among the leaders of energy firms. It is necessary to solve the identified problem in the shortest possible lines. The article reveals the problems associated with the use of information technologies by energy companies supplied from other countries with the possibility of remote change.
The Correlation between the Korean language Curriculum and Achievement Criteria

이 글의 목적은 ‘성취 기준’이 교육과정에서 가지는 의미를 살피는 데 있다. 이러한 목적을 달성하기 위하여 이 글은 교육과정의 진술 내에서 성취 기준이 도입되어야 했던 필연적인 이유를 찾고 성취 기준 도입과 관련된 현실적인 문제점을 제시하고자 하였다. 이를 위해서 이 글에서는 2007년, 2009년, 2012년, 2015년 개정 국어과 교육과정의 진술 과정과 내용을 분석하고 대조하였다. 이 과정에서 분석을 위한 내용 영역으로 문법 영역을 선정하여 관련된 개정 교육과정의 각 부분들을 대조하였다. 이상과 같은 논의 과정을 바탕으로 이 글에서는 ‘성취 기준’의 도입 필요성이 2007년 이후의 교육과정에서는 명시적으로 드러나 있지 못하다고 판단하였다. 이는 당해 교육과정에서 진술하는 교육 목적이나 인간상, 내용 체계, 평가 등의 영역에서 이전의 교육과정과 큰 차이가 없다는 데서 기인한 것이다. 나아가 핵심 역량과 성취 기준, 그리고 학습 목표 간의 상관 관계가 명료하게 진술되지 못하여 학습 현장에 혼란을 야기할 수밖에 없음을 지적하였다. 다만 핵심 역량을 제시하고 이를 성취 기준의 동기로 삼았으며, 성취 기준을 학습 목표의 상위 개념으로 제시하여 학습 활동과 관련된 체계적 인과성을 유지하려는 효율성을 확인할 수 있었다.The purpose of this study is to examine the reason why the term ‘achievement criteria’ has emerged as a key word governing teaching-learning activities based on changes in the curriculum. The achievement criteria introduced after 2007 replaced the learning goals in the curriculum in 2015 and emerged as a mechanism to dominate teaching-learning activities. There have been various conceptual statements about achievement criteria so far, but it is generally agreed that the concept of putting the results of learning activities in the process rather than the learning goal that puts the acquisition of content knowledge. This article starts with two questions. First, how meaningfully contrasting the concepts of learning goals and achievement criteria are realized in the curriculum after 2007, and second, what is the inevitable reason that achievement criteria should be introduced within the curriculum statement. In order to solve these questions, this article analyzed and contrasted the statement process and contents of the Korean language curriculum revised in 2007, 2012, and 2015. In this process, the grammar area was selected as the content area for analysis, and each part of the relevant revised curriculum was compared. Based on the above process, this article judged that the need for the introduction of achievement criteria was not explicitly revealed in the curriculum after 2007. This is due to the reason that there is no specific difference from the previous curriculum in each area such as the educational purpose, human image, content system, and evaluation stated in the curriculum. However, it was possible to confirm that it was trying to maintain the causality of the entire system in that it presented core competencies for the introduction of the achievement standards and used them as the motive for the achievement criteria.
RETRACTED: Research on User Experience Design of Smart Home Products Based on Internet of Things

Abstract With the continuous amelioration of people’s living standards, people’s expectations for the experience of the home environment are also increasing. Using the Internet of things to carry out user experience design of smart home products can bring people more interactive experience and services. Based on this, this paper first analyses the concept and value of smart home products, then studies the experience design of smart home products based on the Internet of things, and finally gives the experience design strategy of smart home products based on the Internet of things.
IDENTIFICATION AND SEGMENTATION OF TOUCHING BRAHMI CHARACTERS FROM DEGRADED DIGITAL ESTAMPAGE IMAGES USING ENSEMBLE CLASSIFIER

Brahmi script is an ancient Indian script that requires expertise to read the written documents.OCR system can help reading and understanding the documents of Brahmi script.In the OCR systems, to recognize the symbols, accurate segmentation in earlier phase is required.If the segmentation goes wrong, it indicates the failure of the recognition process.Identification and segmentation of touching characters is a challenging task in OCR systems.In this paper, the authors have proposed an algorithm which successfully identifies and segments the touching characters from the Brahmi script documents.The algorithm uses ensemble classification technique to identify the touching characters using 9 unique features.The proposed algorithm has achieved 100% accuracy in identification and 99.16% accuracy in segmentation of touching Brahmi script characters.The results of proposed algorithm are significant to identify and correctly segment the touching Brahmi script characters from degraded digital estampage images.
Two Ways of Using Microsoft Sway to Teach English in Vocational Education

The article describes the Russian University of Transport expertise in using the bright online service Microsoft Sway in teaching English in vocational education. The first of the two directions described is using Microsoft Sway for our new ESP online course &#x201C;Management and Operation on Railway Transport&#x201D; presenting where each unit exists as a separate Internet site. The new online ESP course structure and a model of interaction between a teacher and a student are presented. The second one is using Microsoft Sway for students&#x0027; collaboration project. The example of students&#x0027; project on the topic &#x201C;Young Family: What Is It Like&#x201D; is given. The stages of students game project work are described. Microsoft Sway presentations are easy to use and offer a new level of educational visibility.
A spacecraft attitude maneuvering path planning method based on PIO-improved reinforcement learning

<p indent="0mm">Aiming at the problem of spacecraft attitude maneuver planning under multiple mandatory pointing constraints and prohibited pointing constraints, based on pigeon-inspired optimization (PIO), we proposed an improved policy gradient reinforcement learning (RL) algorithm (PIOPGRL). First, we establish an angle-based attitude constraint model, and then, we establish the reward function of RL based on the model. Then, the fitness function is used to replace the policy evaluation function, so PIOPGRL is integrated with RL. The PIOPGRL algorithm uses the PIO algorithm to solve the policy gradient, significantly reduces the amount of calculation and accelerating the convergence speed. The simulation results show that the spacecraft attitude maneuvering path planning method based on PIO-improved RL (PIOPGRL) has better planning results and lower cost of maneuver than the classical PGRL algorithm, which can solve the problem of spacecraft attitude maneuver planning under multiple pointing constraints perfectly.
An Algorithm of Vocabulary Enhanced Intelligent Question Answering Based on FLAT1

The main purpose of the intelligent question answering system based on the knowledge graph is to accurately match the natural language question and the triple information in the knowledge graph. Among them, the entity recognition part is one of the key points. The wrong entity recognition result will cause the error to be done propagated, resulting in the ultimate failure to get the correct answer. In recent years, the lexical enhancement structure of word nodes combined with word nodes has been proved to be an effective method for Chinese named entity recognition. In order to solve the above problems, this paper proposes a vocabulary-enhanced entity recognition algorithm (KGFLAT) based on FLAT for intelligent question answering system. This method uses a new dictionary that combines the entity information of the knowledge graph, and only uses layer normalization for the removal of residual connection for the shallower network model. The system uses data provided by the NLPCC 2018 Task7 KBQA task for evaluation. The experimental results show that this method can effectively solve the entity recognition task in the intelligent question answering system and achieve the improvement of the FLAT model, and the average F1 value is 94.72
Big-Data Based English-Chinese Corpus Collection and Mining and Machine Translation Framework

This paper adopts web big data mining method to collect and mine the English and Chinese corpus, and designs an English-Chinese machine translation framework. First, create an English-Chinese parallel corpus based on big data, and use data mining to collect and mine the English-Chinese corpus. Then, based on the web big data method, a real-time English-Chinese machine translation framework was designed to realize vocabulary alignment, phrase alignment and syntactic knot alignment. Finally, the validity of the translation framework is verified through experimental data.
El dispositivo TUYA como estrategia de personalización en educación en línea

This report is a summary of the experiences and insights gathered across 2021 within the&nbsp;Family and Technology&nbsp;course at Austral University in Argentina. Students take this course during the third year of their Family Counseling bachelor’s degree program. Attendance is carried out remotely, through the university’s virtual campus in the Moodle 3.9 learning platform. Course load is 60 hours a month.&nbsp;&nbsp; At the center of it all is the TUYA approach, a Spanish acronym meaning: “Ubiquitous and self-regulated trajectories.” This approach is novel and disruptive, countering the typical alternatives usually found in online educational spaces. The goal is to promote students’ self-regulation skills, bringing them closer to the subject matter and the course’s specific contents by considering their own, particular interests. Students’ own time-management is one of the central tenets of this approach. And to make this possible, students are granted ubiquitous access, both to the campus and to the dynamics of the virtual classroom itself.&nbsp;&nbsp; This experience has led to important insights, both for students and faculty. These can be derived from students’ own coursework as well as the thinking processes promoted during the course and reinforced at the very end.&nbsp
Effective Register Allocation for Configurable VLIW Crypto-Processor

An Effective register allocation algorithm for configurable VLIW crypto-processor is proposed in this paper. Calculate the intersection of definition-use chain constraint sets, and allocate register class. In the register bank allocation, prioritize instruction bundles with all slots filled and balance pressure between different banks. Specific register allocation adopts a global linear scan algorithm to improve efficiency. Experimental results show that this proposed algorithm can generate relatively high-quality code. The average utilization of registers under typical cryptographic algorithms is only 16.2%, and the maximum utilization is only 33.3%. This is instructive for the hardware design of crypto-processor architecture.
COMPARATIVE STUDY OF MPPT BASED ON ARTIFICIAL INTELLIGENCE

An MPPT or Maximum power point tracking command, associated with an intermediate adaptation stage, allows a photovoltaic generator (GPV) to operate in such a way as to continuously produce the maximum of its power. We present in this paper a new intelligent approach of a MPPT based on the hybrid and adaptive neuro-fuzzy network of ANFIS model. The latter is applied to a SEPIC* converter in order to extract at any time the maximum power available at the generator terminals and transfer it into the load, regardless of the sunshine variation as well as the temperature. The proposed method for a fixed and simple structure implements a Takagi-sugeno fuzzy system. Its performance will be confirmed by the comparison with the fuzzy logic command which is already known with its speed.
Encryption of Data

You’ve implemented a system, and you’ve created the best database structure you can architect. Your system is taking off, and you have hundreds or thousands of clients and many gigabytes of customer data on your server. Things couldn’t be better, right? Then you get a notification that something has gone wrong with your database. Somehow, a malicious entity has gained information about all of your customers because you were storing that information in your database in plain text. This nightmare scenario could be you if you don’t take at least some minimal measures to prevent it.
STUDYING DESIGN ATTRIBUTES OF VIRTUAL CHARACTERS TO SUPPORT STUDENTS' PERCEIVED EXPERIENCES IN VIRTUAL REALITY LECTURES

Virtual reality recently expanded to collaborative and social networking environments where users interact with virtual characters (VCs) of various appearances and behaviors, often impacting the quality of experience.In this paper, we present preliminary survey results of perceptions about characteristics of VCs and a user study of a VR lecture app with different styles of virtual instructors.VCs were collected from existing collaborative and social VR applications and categorized by body types and design style.Survey results coupled with prior works guided the development of design styles, which we briefly present.In the user study, 12 users experienced two different VR lectures with randomly assigned character styles.Results show participants found the stylized VC familiar and human while the realistic VC was engaging and trustworthy.Results also show feelings of learning more about the lecture topic with the stylized VC.