Reviewerly/exHarmony huggingface dataset:
CNN MODEL USING SEQUENTIAL API FOR FACE MASK DETECTION

Covid-19 caused due to the corona virus, this virus was first discovered in Wuhan In December 2019 now it is a pandemic affecting almost every country in the world. This virus transmitted from one person to another person through droplets spawned when a Covid-19 patient sneezes, coughs, exhales. One of the solutions to prevent covid-19 is wearing the face mask, many governments trying their best to educate citizens to wear the mask in public places, even that made it mandatory, but a majority of people are violating this rule. In the current scenario of police frequently checking for a face mask in public places an imposing fine on the people who were not wearing the face mask. On the other hand, some government introduced technology to detect people about face mask and center details, petrol them, then they will catch them.In this paper, we propose a model which detects whether a person is wearing a face mask or not using a facial detection system using CNN model we have detected persons with and without the mask and we will identify the pixel level by comparing it with many other algorithms available, CNN works more accurately. We implemented a model with 3 convolution layers and applied a dropout of 0.5% and used Relu, softmax as activation functions at hidden and fully connected layers respectively, Cross entropy is used as a loss function. Adam is an optimizer and it is working with 95.6 accuracies. This AI-based detection system will create awareness in minds of the public and they will start wearing masks in public so that the spread of the Covid-19 pandemic can be controlled for the wellbeing of society.The main goal of the project is to implement this system at colleges, hospitals, and offices where chances of spread of COVID- 19 through contagion are relatively higher. Here we give a summary of datasets and how we cleaned up the data.
Interrelation of nonclassicality conditions through stabiliser group homomorphism

Abstract In this paper, we show that coherence witness for a single qubit itself yields conditions for nonlocality and entanglement inequalities for multiqubit systems. It also yields a condition for quantum discord in two-qubit systems. It is shown by employing homomorphism among the stabiliser group of a single qubit and those of multi-qubit states. Interestingly, globally commuting homomorphic images of single-qubit stabilisers do not allow for consistent assignments of outcomes of local observables. We employ these observables for the construction of conditions for nonlocality, entanglement, and quantum discord. As an application, we show that CHSH inequality can be straightforwardly generalised to nonlocality inequalities for multiqubit GHZ states. It also reconfirms the fact that quantumness prevails even in the large N -limit if coherence is sustained. The mapping provides a way to construct many nonlocality inequalities, given a seed inequality. This study gives us a motivation to gain better control over multiple degrees of freedom and multi-party systems. It is because, in multi-party systems, the same nonclassical feature, viz, coherence may appear in many avatars.
학습 참여 동기가 학습 몰입, 학습 만족도, 학습 성취도 및 학습 지속의도에 미치는 영향: 음료 학습프로그램을 중심으로

There is a growing interest and demand for learning to deal with rapid social changes. The growth of the food service industry has increased the interest of learners in the beverage industry. Hence, based on Houle(1961)’s theory of learning participation motives, the study investigates the effect of learning participation motives (goal-oriented, learning-oriented, and activity-oriented) on learning commitment, learning satisfaction, learning achievement and learning continuance intention of adult learners who took a beverage-related learning program. To carry out the study, a total of 500 questionnaires were distributed to learners who participated in beverage- related learning programs at educational institutions located in the seoul metropolitan area from September 1 to 20, 2018, but only 449 were used for the analysis. The hypothesized relationships in the model were tested by using a structural equation model. The results of the study are as follows. First, all the learning participation motives have positive effects on learning commitment. Second, the learning commitment improves learning satisfaction. Third, the learning satisfaction has a positive effect on learning achievement and learning continuance intention. Finally, the learning achievement improves learning continuance intention. Therefore, the motivation to participate depends on the type of learners, so prioritization should be given to learning motivation and ongoing efforts will be required to improve learning participation.
Translating Letter of Credit and Ballyclare User Info Sheet and Conformity in Purchasing Department of PT. Binabusana Internusa Semarang

ABSTRACTBased on my internship activities at PT. Binabusana Internusa Semarang, this internship report was elaborately written and accomplished. The internship program was conducted on the 6th of January to 28th of February, 2020. I worked five days a week, from Monday to Friday. The objectives of this report are to explain the difficulties in translating the legal documents, such as Letter of Credit and Ballyclare User Info Sheet and Conformity, and to solve such difficulties.I translated 20 legal documents of business correspondence in Purchasing Department of PT. Binabusana Internusa Semarang. In conducting the translation process, I dealt with several difficulties arising out of the documents. The difficulties involved specific terms, unfamiliar words, and implied meanings. Before I applied several translation techniques to solve the problems of the translation process during my internship activities, three steps such as analyzing, transferring, and restructuring were implemented. Thus, I could conduct and achieve the better translation results.
Is Free Choice Permission Admissible in Classical Deontic Logic

We explore how, and if, free choice permission (FCP) can be accepted when we consider deontic conflicts between certain types of permissions and obligations. FCP can license, under some minimal conditions, the derivation of an indefinite number of permissions. We discuss this and other drawbacks and present four Hilbert-style classical deontic systems admitting a guarded version of FCP. The systems that we present are not too weak from the inferential viewpoint, as far as permission is concerned, and do not commit to weakening any specific logic for obligations.
Specifics of the development of students’ creative abilities in the context of higher education

This study examines the problems of the development of students’ creative abilities, their structure and specifics, similarities and differences from creativity. The aim of the research is theoretical and empirical consideration of the specifics of students’ creative abilities and their development. The problems of the essence of creative abilities, the role of their formation in the young age, specific methods and techniques are revealed. The research methodology and its algorithm were selected due to the purpose of the study. Experimental work included a complex psychological and pedagogical experiment, consisting of the indicative, formative and control stages. The study of students’ creative abilities was carried out on the basis of the Institute of Foreign Languages of the Federal State Autonomous Educational Institution of Higher Education “The Peoples’ Friendship University of Russia” (RUDN). An experimental and a control group were formed, each included 45 people, the sampling is valid for all significant characteristics. The results of the study allow us to conclude that the training forms are especially effective in the development of students’ creative abilities. The level of development of the teacher’s creative abilities is a significant factor in the formation of students’ creative abilities.
Recognizing Clothing Patterns and Colors for BVI People Using Different Techniques

Allam, Mahmoud ElShaarawy, Islam Farghal, Sara AhmedFor blind and visually impaired (BVI) people, it is an arduous task to recognize clothing patterns and colors. It is especially complex to recognize them automatically. This is a highly researched area in image processing. This paper provides BVI with the ability to detect patterns and colors without depending on personal assistance, leading to increasing their confidence. The user first captures an image; then, our system detects colors and patterns. The color model used here is the hue saturation value (HSV). The main colors detected by our system are magenta, cyan, blue, green, red and yellow. The saturation of each color is also taken into consideration. We propose various methods that include multiple feature extraction and classification techniques on the City College of New York (CCNY) clothing pattern dataset. The combinations of the feature extraction and classification techniques exceeded 200 methods. The proposed methods were performed using MATLAB and Weka under different preprocessing and compression methods, such as converting the dataset to grayscale, using raw red, green and blue (RGB) images, in addition to grayscale and RGB scalograms from continuous wavelets. Using a combination of histogram of oriented gradients (HOG), feature extraction and a sequential minimal optimization (SMO) classifier resulted in the highest recognition rate, achieving 91.8% accuracy.
LibGuides: Education and Training: Community Resources

This guide features a recording of the Minding Your Business class and other materials for understanding how to use many of PPLD's Business Resources
Deep Learning-Based Real-Time Detection and Object Tracking on an Autonomous Rover with GPU based embedded device

In recent years, there has been a growing interest in autonomous systems with artificial intelligence, especially in the military, home automation and smart cities sectors. In this project, the aim is to develop, through an artificial neural network capable of detecting objects, a system that can make a rover-type vehicle independent. An autonomous vehicle is a system capable of perceiving its environment and moving safely with little or no human input. Based on an appropriate network according to the needs, a tracking algorithm is developed, which gives the memory to the intelligence, i.e. it can assign an identity to any detected object, around frames in a real-time video. The implementation of a tracking algorithm would allow the system to be more dynamic and to perform more complex functions than simply detecting and tracking the object frame by frame. This paper explores the possibility to create an autonomous system that allows the user to select the desired mode of use by means of a graphic user interface. A Follow Me module is implemented, a technology that is now present in many systems of this type, such as drones or domestic robots, which allows the drone to follow a moving object around autonomously. The Follow Me module allows any person detected to voluntarily activate and, vice versa, deactivate the tracking function of the system. Among the functions implemented in the security module, the identity switch recognizer plays a central role. In the context of multiple objects tracking, one of the most common situations is in fact the overlapping of the target object with other objects in the image. It is therefore necessary to have a security function that is aware of this behavior and warns the system of a possible ID. Computer vision systems have difficulty in maintaining the identity of the individuals over long periods of time; many modern vision systems multiple objects are based on tracking identification, which means they propagate the identities along the track. The following work is part of a larger research project, entitled INTEGRATION OF OBJECT DETECTION IN REAL-TIME IMAGES IN AUTONOMOUS VEHICLE DRIVING, supported by the National University of Cordoba, aimed at the autonomous operation of a rover-type land vehicle. The tests that will be carried out will relate to the use of a very specific board, the INVIDIA Jetson-Nano, which is mounted in the physical system supplied to the general project.
Research on Personalized English Learning System Based on Digital Language Learning System

English learning process is an integrated learning process, including listening, speaking, reading and writing, which are interrelated. How to build a multifunctional and integrated English learning environment to facilitate users to learn English. Personalized recommendation technology and related technologies of mobile devices are elaborated in detail. Combining personalized English learning with digital language learning system, a prototype of personalized English learning system based on digital language learning system is proposed, and the overall architecture of the system is designed. On the basis of judging the difficulty of reading English sentences, this paper analyzes and models the English level of users according to their historical information by using user modeling technology, and designs a ranking model that combines two similarities by combining the similarity measurement between the query terms and documents. The functions of reading vocabulary and listening audition are also introduced into the system. Finally, a multi-functional and personalized English learning environment is constructed for users.
Pedagogical Design of the Elective Part of Postgraduate Educational and Scientific Training

The article highlights the approaches to the pedagogical design of the elective part of the educational and scientific program of postgraduate training in the specialty 014 Secondary Education (Mathematics) at Cherkasy National University named after Bohdan Khmelnytsky. Based on the analysis, comparison and generalization of domestic and foreign experience in designing SNP PhD training at the third (educational-scientific) level of higher education in this specialty, the educational component of postgraduate training at Bohdan Khmelnytsky Cherkasy National University is described. Approaches to the development of a selective part of the educational component of postgraduate training are highlighted.
LibGuides: O’Reilly for Higher Education: How to Search O'Reilly for Higher Education

This guide includes information on how to log in to O'Reilly, tips for searching O'Reilly and details on how to contact the Library.
Discrete Bayesian Optimization algorithms and applications

When dealing with expensive-to-evaluate objective functions in optimization problems, a large class of models gathered under the name of Bayesian Optimization (BO) is efficiently able to approximate the black-box objective function and compute the optimum. This is done using a surrogate model, namely a statistical model for modelling the objective function, and an acquisition function that let us move into the feature space. The most common surrogate models are Gaussian Processes. These algorithms work well over continuous domains, however, when dealing with discrete or categorical variables, these techniques become unsuccessful and different approaches and settings are required. The Separable Bayesian Optimization algorithm (SBO) is our proposal to overcome the BO limitations. It moves from the idea of considering the discrete variables as nodes of a graph, over which a statistical model is built. This model is assumed to be a structure given to the objective function and thanks to the properties of Gaussian Processes, the main steps of BO are implemented. The thesis starts with an overview of Bayesian Optimization and its main components: surrogate model and acquisition function. In particular, the emphasis is on Gaussian Processes as surrogate models. Afterwards, the SBO algorithm is outlined in all its theoretical steps: a description of the implementation using Python is also provided. The second part of the thesis deals with some applications with discrete and black-box optimization problems. For example, the SBO algorithm is applied to the sparsification of Ising models, namely an approximation of the reticular graph that is used to assemble Ising models, which are models built to describe the thermodynamic properties of magnetic systems. Another application has been proposed by the TIM group: the problem is to realize a self-optimizing mobile network that is capable of set the best configuration of tilts for the antennas in order to get the best performances in terms of capacity and coverage (Capacity and Coverage Optimization).
Una categoria linguistica ambigua: i preverbi ungheresi

The preverb represents the category of the Hungarian language that has the greatest impact on the argument structure and semantics of the verb. This formally reduced linguistic element is linked to the verb, in a neutral sentence in a preverbal position (hence the name ‘preverb”), sometimes behaving as a participant in an operation of composition, other times as a linguistic unit involved in a morphological process of derivational type. It exhibits an ambiguous syntactic behaviour as it seems to be part of the verbal phrase when it precedes the verb, but it can also move within the sentence as an autonomous constituent. This is why the question of the classification of preverbs is one of the most debated issues in Hungarian grammars, as we will show by comparing the positions held in this regard by the two main lines of thought, the traditionalist and the structuralist ones.
Epithermal gold-bearing sulfide ore deposit Tulallar: Structure, structural geology and mineralization patterns

In the latest decades, the characteristic of geology and mineralization in Somkhito&ndash;Karabakh island&ndash;arc paleosystem undergoes cardinal rethinking. This article describes epithermal gold-bearing sulfide ore deposit Tulallar in the Lesser Caucasus in Azerbaijan. The deposit adjoins a partly eroded volcano-tectonic depression and localizes in the east&ndash;westward striking Upper Jurassic andesite-dacitic and andesite strata more than 500 m thick. In the center, the Tulallar Fault splits the structure into three blocks &mdash; Western, Central and Eastern, which hold the same-name zone of gold-bearing ore lodes and veins. The main concentrators of finely dispersed and free gold are chalcopyrite and pyrite. The essential tectonic structures which govern distribution of the mineralization are the bordering branches of the Tulallar&ndash;Chiragdar&ndash;Toganaly fault. The test deposit is the volcanic epithermal shallow and medium-depth cluster within the structurally isolated wedge-like junction of the regional northwestern and northeastern faults. Based on the revealed localization patterns of the mineralization, the prognostic estimation procedure is developed for different-scale ore potentials. The direct and indirect signs of a mineralization are identified. The type, spatial location and intensity of these signs are assumed as the estimation criteria. Regarding the lithological criterion, these are the volcano-clastic facies and the same-age sub-volcanic Kimmeridgian bodies. The types of folds are considered as different values of folding structures. The same principle is used to differentiate between two types of faulting (strike-slip faults and thrustfaults). The information content of the criteria was assessed by the relative weights found empirically during filed operations, and by the method of analogy.
Prediction of Aircraft using Deep Learning In Remote Sensing Images

Airplane acknowledgment assumes a significant job in picture handling. Acknowledgment processor is utilized to remove the state of airplane. Picture acknowledgment is the method for acknowledgment and distinguishing a thing or a component in a computerized picture or video. This technique is utilized in numerous applications, for example, systems for creation line computerization, cost corner watching and security perception. Standard picture acknowledgment calculations incorporate optical character picture acknowledgment, face acknowledgment, tag coordinating, and scene change distinguishing proof. The acknowledgment of items in a picture this stream would most likely start with picture handling systems for instance commotion expulsion, prepared by (low-level) include extraction to discover lines, locales and perhaps zones with explicit surfaces. Other than the intricate structure, diverse airplane shift in size, shape, and concealing or shading, and in any event, for one sort of airplane, the surface and force are normally different in different situations. Also, acknowledgment regularly experiences different unsettling influences for instance mess, various differences, and uneasiness in homogeneity. In this manner, the power and protection from unsettling influence are exceptionally required for the procedure. Right now, acknowledgment is finished utilizing neural system technique. Information is satellite picture this picture is handled with Gabor channel. It is utilized for highlight extraction (shape, size, surface). At that point include vector is determined from the greatness reaction of channel yields and diminish the numerical troubles. After that neural system calculation is utilized to discover the hyper plane between classes. At last airplane is perceived. This acknowledgment framework includes dimensionality decrease, division and airplane distinguishing proof with formats. Explicitly super pixel division is proposed to lessen the dimensionality of the satellite picture. Associated segment examination is utilized here to remove the nearby item shape descriptors for recognizing wanted objective. Format is utilized as a coordinating model.
Bitcoin, Blockchains and Ethereum

This chapter explains how Bitcoin works, and its underlying blockchain technology, which delivers publically verifiable, immutable records whose integrity relies on neither trusted central parties nor secret keys. It also gives an overview of Ethereum, extending Bitcoin to a decentralized computing platform supporting what are called smart contracts.End notes provide references to explore underlying principles and further details.
LibGuides: AUNY - Literacy: Databases

This library guide will help you find resources to support your studies in your pursuit of your Master's of Science in Education in Literacy through AUNY.