Reviewerly/exHarmony huggingface dataset:
Efficient and Secure Data Sharing in Cloud Computing

With the development of big data and cloud computing, more and more enterprises prefer to store their data in cloud and share the data among their authorized employees efficiently and securely. So far, many different data sharing schemes in different fields have been proposed. However, sharing sensitive data in cloud still faces some challenges such as achieving data privacy and lightweight operations at resource constrained mobile terminals. Furthermore, most data sharing schemes have no integrity verification mechanism, which would result in wrong computation results for users. To solve the problems, we propose an efficient and secure data sharing scheme for mobile devices in cloud computing. Firstly, the scheme guarantees security and authorized access of shared sensitive data. Secondly, the scheme realizes efficient integrity verification before users share the data to avoid incorrect computation.
[Design and Verification of Human Metabolic Measurement System Based on STM32].

A high-precision human metabolic measurement system is designed. The system uses STM32F103 as the main control chip to acquire oxygen, carbon dioxide and flow signals to calculate four quantitative indicators: oxygen consumption(VO2), carbon dioxide production(VCO2), respiratory entropy(RQ) and resting energy metabolism(REE), and finally uses an upper computer to display the calculation results.In this paper, the signal acquisition circuit design was carried out for the oxygen sensor, carbon dioxide sensor and flow sensor, and the validity of the device was verified with the American machine MGCDiagnositcs using Bland-Altman analysis method, and the results showed that the four parameters of VO2,VCO2, RQ and REE of both devices fell in the agreement interval of more than 95%. The device thus provides accurate metabolic measurements and offers an effective tool for the field of general health and clinical nutrition support in China.
The Choice of Studying Digital Marketing in the Context of Students' Ability Factors

In explaining the students’ choice of study programs, different authors rely on different determinants. One summary of those researches indicates that these determinants can be divided into personal, social, and ability factors. Within the possibilities factor, the emphasis is on student achievement and academic self-efficacy. Starting from the above considerations, the subject of this paper is the choice of studying Digital Marketing in the context of students’ ability factors. A convenience sample was used in the primary research. The students of bachelor studies at the Faculty of Economics in Subotica, which within the offer master study programs offers Digital marketing starting from the school year 2021/22, were interviewed. The survey was conducted in June 2021 and included a total of 89 respondents. Students’ academic achievements are measured through the categories of average grades during their studies and the number of points on the entrance exam, while academic self-efficacy is measured through the respondents' perception of how well they can master individual subjects of the master's study program. Academic self-efficacy was analyzed in the context of the gender of the respondents, their studies’ funding status, the standard of living, employment during their studies so far, as well as internships in the subject of master studies. The dependent variable was the stated intention to enroll in the study program. In addition to descriptive statistics, appropriate tests of differences/relationships were used, which in some relations are characterized by statistical significance. In addition to the academic contribution, work can also have managerial implications.
EVALUATION OF THE CHILD SEXUAL ABUSE PREVENTION COMMUNICATION PROJECT TOWARD THE KNOWLEDGE AND ATTITUDE OF SECONDARY SCHOOL STUDENTS IN VINH CITY IN THE SCHOOL YEAR 2020-2021

The study was conducted to: (1) Describe the knowledge and attitude of secondary school students in Vinh City on child sexual abuse (CSA) prevention; and (2) Assess the effectiveness of the Active Growth - A communication intervention project on preventing child sexual abuse in the 2020-2021 school year. The study was community-based interventional research using quantitative research methods. The results showed that the percentage of students with good knowledge of child sexual abuse prevention increased from 34.9% before the intervention to 88.5% after the intervention. Thanks to the project intervention, the percentage of students who had positive attitude towards child sexual assault prevention activities (discussing about CSA prevention and sharing with victims of sexual abuse) increased from 22.2% to 54%. The activities of the project received satisfying reflection from students at the secondary schools that the project implemented. All of the above changes were statistically significant with p &lt; 0,05. It is necessary to continue to maintain and evaluate the long-term results of this program as well as expand the project.
CONTROL OF MOBILE ROBOT TO TRAJECTORY TRACKING USING FUZZY LOGIC METHOD

In this article, mathematical model of two-wheeled mobile robot system is applied and controlled using Matlab/Simulink software. The article focuses on presenting the method of designing Fuzzy Logic controller to control the mobile robot by independently controlling the wheel speed of the left and right wheel motors so that the robot can move and follow the given reference trajectory. Simulation results from Matlab/Simulink tool show the effect of Fuzzy Logic controller on complex objects such as two-wheeled mobile robot which is required that the robot can move to follow the reference trajectory with lines, circles, and gridlines. The results confirm that the robot model can fullymeet the requirements, the model is able to follow the reference target based on the line from simple to complex with the allowable distances and errors.
Standardized design of database schema to eliminate structural redundancy

At present, due to the increasing amount of data in various devices and networks, its structural redundancy information also occupies more bandwidth, which hinders the further development of the network. How to effectively eliminate the structural redundancy has become the focus of attention. To this end, this paper discusses this work by building the DYNATABLE algorithm and 256-LSA cache replacement algorithm. It can improve the performance more than 22%, and effectively eliminate the structural redundancy part in the database. This indicates that this standardized design model is highly practical and is expected to be effectively applied in subsequent work.
AI and Web Application in Medicine Delivery Drones

The enlargement of medicine delivery drones has reached its peak in the past few months. This speedy evolution obliges people to harness automation more and more. Even though technology emerges, the world lacks faster medicine delivery due to which lakhs of people lose their lives. In this research paper, AI and web applications are implemented to enable drones to deliver medicine to people. Semi-autonomous drone technology emerged around the world are put together and coerced the advancement in the environment. Through the application, the user can register and order the medicine without requiring any human interaction. The user can share their location with the device, which will then deliver the medicine to the exact location. This computing system is utilitarian to all the people around the universe.
FACE RECOGNITION

Face recognition technology is a biometric technology that uses a person's face traits to identify them. Face photos are collected by people, and the recognition technology processes them automatically. The study introduces related face recognition research from severalangles. The paper discusses the stages of facial recognition development and related technologies. We discuss face recognition research in real- world scenarios, as well as general evaluation standards and face recognition databases.We take a look at facial recognition from the future. Face recognition has emergedas a promising future development direction with numerous possible applications. Nowadays, face recognition is one of the most advanced computer vision technologies. In computer vision, illumination, and other fields, face recognition is always a difficult issue. facial expression, posture Face recognition keeps track of the objects that are being tracked.in video photos captured with a video camera in real time Simply said, To put it another way, it's a system application for automatically recognising people. a person captured in a photograph or video frame In this paper, we will discuss to propose a facial recognition system that is automated. This Face detection, feature extraction, and facial recognition are all used in this application. algorithmic recognition, which automatically detects when the individual in front of the camera has a human face knowing who he is KEYWORD-Face Recognition, Principal component analysis (PCA), Biometrics, eigenfaces.
The Application of the GOD 4N Model for the G-4N Leadership Coaching Program of Christian Parents

The purpose of this study is to construct a leadership coaching program for Christian parents using the GOD 4N model and to analyze the application effect. With ‘holiness’ as the core concept, the goal was for Christian parents to change and grow in spiritual holiness. Among the GOD 4N leadership coaching models, the leadership coaching program for Christian parents was composed of the G-4N model. Through this, a program manual, a word coaching diary on the 21st, and a personal case book were produced. As a result of the research, the ‘Like Fisher-Parents’ program was composed of 7 sessions and 20 hours in total. In the process of confirming the effect of program application, eight cases of Christian parents were examined through a single case analysis. Changes in Before-After were confirmed through the 153 Word Coaching Paper and photo-voice method. For a New life, we set coaching goals for each of us to become holy as Christian parents, and for a New frame of thinking, we changed to a new frame of courage, affirmation, and gratitude from God's perspective by imitating Bible characters. For a New practice, we looked at the Christian who overcame hardships, and gave up perfection through word coaching on the 21st and forced it a habit through small practices. As a result, intimacy with God, confidence, love, forgiveness, patience, obedience, worship culture, prayer, and New attitude were formed.
Virtual Communication Development in Youth Scientific and Educational Space

The intensive virtualization of the scientific and educational space, which is taking place under the influence of globalization transformations, seriously limits the real interaction of potential participants in scientific projects and events, especially at the international level, but significantly expands the geography. At the same time, the role of youth scientific communities is growing, which, dynamically adapting to the digital transformations of the environment, are able to form new traditions that have a serious impact on the vector of promising scientific research.
“Once upon a time….an artificial intelligent people manager”

there is a lively discussion about its advantages and disadvantages2, but do we know what this branch of psychology as a science is, what it studies, what practical applications it has?3 The truth is that many times our Artificial Intelligence (A.I.) knowledge does not go beyond that it has anything to do with computers, does it?4 Nothing is more artificial than its denomination5.
G. D. Grebenshchikov’s Epistemic-Cognitive Thesaurus as a Part of the Eurasian Cultural and Linguistic Space

The study aims to initiate the creation of G. D. Grebenshchikov’s epistemic-cognitive thesaurus, which is a part of the Eurasian cultural and linguistic space. The thesaurus includes the core of the phraseosemantic field consisting of fixed phrase schemes identified in the writer’s English-language texts. Scientific novelty of the study lies in carrying out a cognitive and epistemological interpretation of idiomatic units and in organising them into a system, as well as in compiling the first epistemic-cognitive thesaurus, using G. D. Grebenshchikov’s previously untranslated works. As a result, it has been proved that it is possible to create a thesaurus the units of which reflect the peculiarities of the thinking of the author, who is a representative of the Eurasian cultural and linguistic space.
JUDGEMENT TENDENCY AND FUZZY INFERENCE MODEL RELATED TO REDUNDANCY OF FRAMED STRUCTURES AGAINST DISSAPEARANCE OF MEMBER

In these days, some examples have been reported about the collapse of buildings structures by gravity as an outcome resulted from an accidental action or the excitation not prepared in the design process. A redundancy and a key-element has been taken from a viewpoint of assuring robustness of a structure even if it receives unexpected disturbance. In past study, a questionnaire survey for human judgments related to structural redundancy was done. From the results, an assessment method related to redundancy was proposed considering sensitivity and the number of plastic hinges. Also, a “2nd Limit Analysis” method combining the plastic analysis and deformation calculation has been proposed for the occurrence of the mechanical mechanism. In this study, a questionnaire investigation was performed to experts and non-experts about human judgments related to a structural redundancy of framed structures against disappearance of member. From the results, the judgment tendency presents the consideration of combination for the sensitivity index and collapse mode. By abstracting the rules of fuzzy inference about the classification of structural redundancy, the membership function was composed related to human judgement. Furthermore, the method of the determination of the key-element is proposed by reference of the proposed fuzzy inference model.
3D Human Pose Estimation via Spatio-Temporal Matching from Monocular RGB Images

Three-dimensional (3D) human pose estimation aims to locate 3D keypoints of individuals from given input RGB images. For two-dimensional (2D) human pose estimation problems, majority methods inferring 2D poses are from 2D heatmaps. However, it is hard to extend this method to 3D poses inferring area which makes computational loads increase sharply. To address the above problem, we propose STM-CNN method to estimate reconstruction coefficient matrix to calculate the final 3D pose instead of estimating 3D heatmaps to decrease the computational loads. First, STM-CNN does a preprocessing procedure to calculate a set of shape and weight bases. Second, STM-CNN infers a 2D matrix called reconstruction coefficient from the STM-CNN architecture. Third, STM-CNN utilizes the preprocessing shape and weight bases and estimated reconstruction coefficient matrix to calculate the final 3D pose. Meanwhile, STM-CNN method achieves better performances compared with the state-of-the-art methods on Human3.6M.
Visualizing attention zones in machine reading comprehension models

The attention mechanism plays an important role in the machine reading comprehension (MRC) model. Here, we describe a pipeline for building an MRC model with a pretrained language model and visualizing the effect of each attention zone in different layers, which can indicate the explainability of the model. With the presented protocol and accompanying code, researchers can easily visualize the relevance of each attention zone in the MRC model. This approach can be generalized to other pretrained language models. For complete details on the use and execution of this protocol, please refer to Cui et al. (2022).
Analisis Pengaruh Kepuasan Pengguna Sistem Informasi Akademik Universitas Muhammadiyah Palembang Menggunakan Model Delone dan Mclean

SIMAKAD is applied to obtain all information related to activities in the computerized academic field within the Muhammadiyah University of Palembang. One of the keys to the success of an information system can be seen from user satisfaction with the system itself. SIMAKAD at Muhammadiyah University of Palembang there are several problems such as response from the system, frequent delays in the use process, profile photos do not appear, the help menu on the system experiences delays in response. This study uses the DeLone and McLean model. This study aims to determine what factors affect user satisfaction (User Satisfaction). The data obtained in the form of questionnaire data collected from respondents amounted to 350 respondents. The analysis used is multiple linear regression which includes partial t-test, namely the system quality variable obtained tcount of 4.288, information quality variable obtained tcount of 4.724, service quality variable obtained t-count of 4.652 and the F test simultaneously obtained Fcount of 75.593. From the results of these tests, it can be stated that the 4 hypotheses proposed have a significant influence on user satisfaction of academic information systems at Muhammadiyah University of Palembang.
Forensic Face Sketch Recognition

In modern society, the overall crime rate is increasing day by day, and in order to overcome this, law enforcement department must also find ways to speed up the entire process and help bring justice. One such method is to use facial recognition technology to identify the criminal. The traditional approach here is to use a hand-drawn sketch of a face, drawn by forensic artist to identify the criminal. Upgrading it will allow us to identify the criminals using hand-drawn sketches and then matching it with law enforcement databases. This approach is time consuming as there are few forensic artists available compared to the increasing crime ratio which is subject to various limitations with the latest technology and increasing crime rates. Our project provides law enforcement department a standalone platform that allows users to create composite sketches of a suspect's face using the drag-and-drop feature without the aid of forensics, thereby reducing time gaps and speeding up the process. The application automatically matches complex face sketches with police database.
Image rights in the digital universe

For a more comprehensive analysis of the development of image rights at an international level see Frederick Mostert and Sheyna Cruz, ‘How Image Rights Have Changed over The Past 20 Years’, in Hayleigh Bosher and Eleonora Rosati (eds), Developments and Directions in Intellectual Property Law. 20 Years of The IPKat (OUP, in press). In December 2019, climate activist Greta Thunberg announced that she was applying to register a trade mark in her own name. Writing to her followers on social media, she explained: Unfortunately there are still people who are trying to impersonate me or falsely claim that they ‘represent’ me in order to communicate with high profile people, politicians, media, artists etc. […] I apologize to anyone who has been contacted – and even misled – by this kind of behavior. Thunberg expressed concern that her name was ‘constantly being used for commercial purposes without any consent whatsoever [...] for instance in marketing, selling of products and people collecting money in [her] name’.1 Understandably, Thunberg found it necessary to defend herself and the Fridays for Future movement she founded from being co-opted for inconsistent and unintended purposes.2
Signature Matching using Key Point Descriptors

This report presents the implementation of a CNN which aims to classify and verify the authenticity of the offline signatures, using the writer-independent method based on ORB features. In order to develop this work, 2 databases (training/validation and testing) were built manually, i.e., the manual collection of the signatures of the 3 users as well as forged signatures made by people not belonging to the base and altered by the same users were done, and signatures of another 115 people were used to create the category of non- members. Once the network is trained, its validation and subsequent testing is performed, obtaining overall accuracies of 85.4%, showing the features learned by the network and verifying the ability of this configuration of neural network to be used in applications for identification and verification of offline signatures.
Censer: Curriculum Semi-supervised Learning for Speech Recognition Based on Self-supervised Pre-training

Recent studies have shown that the benefits provided by self-supervised pre-training and self-training (pseudo-labeling) are complementary. Semi-supervised fine-tuning strategies under the pre-training framework, however, remain insufficiently studied. Besides, modern semi-supervised speech recognition algorithms either treat unlabeled data indiscriminately or filter out noisy samples with a confidence threshold. The dissimilarities among different unlabeled data are often ignored. In this paper, we propose Censer, a semi-supervised speech recognition algorithm based on self-supervised pre-training to maximize the utilization of unlabeled data. The pre-training stage of Censer adopts wav2vec2.0 and the fine-tuning stage employs an improved semi-supervised learning algorithm from slimIPL, which leverages unlabeled data progressively according to their pseudo labels' qualities. We also incorporate a temporal pseudo label pool and an exponential moving average to control the pseudo labels' update frequency and to avoid model divergence. Experimental results on Libri-Light and LibriSpeech datasets manifest our proposed method achieves better performance compared to existing approaches while being more unified.
Alexa Based Home Automation

It is an Iot based paper where designed and implemented smart home system. The purpose is behind of that paper that control the switching of home like fan on or off, lights on or off and specially control the all requirements in home. Alexa is used in this and it is work quickly within a second. Alexa is capable of voice interaction, music playback, making to-do lists, setting alarms, streaming podcasts, playing audio books, and providing weather, traffic, and other real-time information. Alexa can also control several smart devices using itself as a home automation hub. We will use on this project, the “Echo Dot”, which allows users to activate the device using a wake-word, such as “Alexa” or “Computer”, as in “Star Trek! In the home automation space, Alexa can interact with several different devices like Philips Hue, Belkin WeMo, Sonoff, etc. We emulated WeMo devices on previous projects, using the fauxmo ESP library, which seems outdated and not adequately maintained nowadays. Here we will use mat protocol that which helps for the communication.
Health Monitoring System using Microcontroller

Abstract: Due to the emergence of the new corona virus, health care is now of paramount relevance in every country. In this new era of technology, man has become a workingmachine that works like a robot 24 hours a day, seven days a week to acquire two meals. In this fast-paced world, he has forgotten to focus on the most important aspect of life: his health. Thus, one of the most essential uses of IoT is the health monitoring system. In India, about a quarter of the population dies as a result of a broken health-care system, in which doctors see patients in the morning, evening, or alternate shifts in most hospitals. What happensif a patient's health becomes critical in the meantime or if a doctor is unavailable to treat them? The solution is that a patient may lose his or her life. To avert this critical circumstance, we propose a practical embedded system device that continuously checks the health of patients. The pulse rate, vital signs, and saline liquid level of the patient are all monitored by this device (if any). Knowledge and communication technologies aid in the development of a digital revolution. For integrating various physical devices with networks, an IOT area unit has been identified. Keywords: Healthcare, Microcontroller, Arduino, Blood pressure sensor, Wifi module