Reviewerly/exHarmony huggingface dataset:
Online stochastic gradient descent on non-convex losses from high-dimensional inference

Stochastic gradient descent (SGD) is a popular algorithm for optimization problems arising in high-dimensional inference tasks. Here one produces an estimator of an unknown parameter from independent samples of data by iteratively optimizing a loss function. This loss function is random and often non-convex. We study the performance of the simplest version of SGD, namely online SGD, from a random start in the setting where the parameter space is high-dimensional. We develop nearly sharp thresholds for the number of samples needed for consistent estimation as one varies the dimension. Our thresholds depend only on an intrinsic property of the population loss which we call the information exponent. In particular, our results do not assume uniform control on the loss itself, such as convexity or uniform derivative bounds. The thresholds we obtain are polynomial in the dimension and the precise exponent depends explicitly on the information exponent. As a consequence of our results, we find that except for the simplest tasks, almost all of the data is used simply in the initial search phase to obtain non-trivial correlation with the ground truth. Upon attaining non-trivial correlation, the descent is rapid and exhibits law of large numbers type behavior. We illustrate our approach by applying it to a wide set of inference tasks such as phase retrieval, and parameter estimation for generalized linear models, online PCA, and spiked tensor models, as well as to supervised learning for single-layer networks with general activation functions.
Developing English Front Office Materials for Twelve Grade Students in First Semester at SMK N 2 Singaraja

The purpose of this study was to develop English front office materials for first semester students of class XII at SMK N 2 Singaraja. In the data collection process, researchers used six instruments, namely, Google form for teachers and students, Questionnaire for teachers and front office staff, Checklist for students, and the last instrument is Checklist for expert judges. This research method used the Design and Development (D&amp;D) model. The results showed that there were 5 topics that needed to be developed, namely; Handling guest arrivals and departures, Handling guest baggage, Bell desk service handling requests, Individual guest check-in handling, Individual guest check-out handling. The conclusion obtained in this study is that there are 5 topics that must be developed into products and each topic contains input, content focus, language focus, and task and the product quality is classified as very good based on the results of two expert judges.&#x0D; Keywords: D&amp;D method, ESP, English for Front Office.
World Environment University : Mission and Design

The University will contribute, through its high quality of education, training and research, to the containment, reduction and management of the problems confronting humanity in the transition to sustainable way of life utilizing the latest technologies of distance learning. Through international collaboration and leadership, it will generate, mobilize and share knowledge, experience and skills throughout the world so as to promote equitable and sustainable progress and to preserve and enhance the natural world on which humanity depends. As merit of the location of center in Northeastern Asia and North and South countries, Jeju Island has a remarkable natural beauty matching with unique environmental culture tradition, and a wide range of expertise, connections and capabilities in regard to global commerce, finance and transportation, and to the management of watersheds and biodiversity as a newly established international free city, all of which are relevant to world environment of sustainable development.
Work methods for complying with the EBU R 128 recommendation in live TV broadcasts

In order to investigate what work methods professional audio engineers use to comply with the EBU R 128 recommendation in live TV broadcasts, an interview study was conducted. The purpose of the st ...
Research Guides: BUSN 1449 Business Communications: Related websites

Class-specific guide for BUSN 1449, Business Communications Websites related to public relations and business communications.
“Code is Law” and Smart Contracts. Embedding Ethics in Decentralized Ledger Systems

“Smart Contracts” are tools based on distributed ledger technologies deployed in order to increase the efficiency of transactions. Their adoption is growing at an exponential scale due to the undisputable advantages brought by their property of self-executing tasks, yet on the opposite it raises concerns since it does not require any sort of moral scrutiny. In our paper we first address how the current ethical discussion can be framed in Decentralized Ledger Technologies, then we unfold the evolution in legal theory of a decentralized approach – epitomized by the motto “code is law” – finally we focus on “smart contracts” discussing the application of “engineering ethics” or the implementation of “ethical oracles”. At the end we conclude with a few remarks and some perspectives for future research.
LibGuides: . Information Commons Resource Guide: Subject Guides

An all inclusive guide to how to utilize Sarasota-Manatee campus Library Services resources. Learn the in's and out's of using USFSM LibGuides for your classes.
Development of professional competencies of information technology university teachers

The article sets out to analyze the professional competencies on the standard European e-Competence Framework. The survey of information technology teachers of Ukrainian universities concerning the necessity of forming and development of European e-Competence Framework competencies allowed defining the priority areas for training and forming the content component of a model of professional competencies development of information technology university teachers. The proposed model distinguishes stages, factors, and resources for training teachers. Teachers’ attitude to motivation, time and money allocation for professional development was researched. The content component of the development of professional competences of teachers of information technologies is offered. Recommendations for training and advanced training of teachers of information technologies, assessment of the level of development ofprofessional competence, were proposed.
Image Segmentation Techniques: A Survey

Segmenting an image utilizing diverse strategies is the primary technique of Image Processing. The technique is broadly utilized in clinical image handling, face acknowledgment, walker location, and so on. Various objects in an image can be recognized using image segmentation methods. Researchers have come up with various image segmentation methods for effective analysis. This paper presents a survey and sums up the designs process of essential image segmentation methods broadly utilized with their advantages and weaknesses.
ASF Enterprise - Primrose Braslet / Nur’ain Farzana Mohd Kamil … [et al.]

ASF Enterprise is an online business selling bracelet straw made of silicone. With our mission to satisfy our buyers with a high quality of straw through our focus on best material which is double layer silicone and superior service. In addition, we want to be the well-known straw bracelet provider for individuals, families and businesses in the hygiene version. In everything, we will try our best to provide our buyer with satisfaction. We always try our best to solve as many problems as we can which faced by public. For instance, as we all know, the use of straws especially those containing plastic materials is very unfriendly to the environment. It is so clear that the use of plastic straws is not safe for marine life in general.There are many problems that arise about marine life where their lives are threatened the dumping of waste in the sea. The opportunity in this market is quite high, as we have had so many problems that we can see on the market. Furthermore, as we want our product to help all people around the world and also the environment, our target market is also broad. Thus, we decide to build Business Model Canvas (BMC), which is one of the most common business models in the entrepreneurial world, and to make it a systematic start-up of our business. We believe that by implementing this kind of systematic preparation, we're going to have a smooth journey in our business. In addition, all of our mission, vision and goal will be accomplished. Lastly, we hope that our innovation product will be acknowledged by all and at the same time that it will bring benefits not only to everyone in Malaysia but also to the world and to the community.
Development of Efficient and Optimal Models for Software Maintainability Prediction using Feature Selection Techniques

Software Maintainability is an indispensable characteristic to determine software quality. It can be described as the ease with which necessary changes such as fault correction, performance improvement, addition, or deletion of one or more attributes, etc., can be incorporated. A major purpose of software maintainability is to enable the software to adapt to the changing environment. Machine Learning (ML) algorithms are widely used for Software Maintainability Prediction (SMP). Hence, in the current study, QUES and UIMS, i.e., the two object-oriented datasets are used for SMP. In this study, an attempt has been made to improve the prediction results of five (ML) algorithms, viz., General Regression Neural Network (GRNN), Regularized Greedy Forest (RGF), Gradient Boosting Algorithm (GBA), Multivariate Linear Regression (MLR), and K-Nearest Neighbor (k-NN) on using three different feature selection methods, including the Pearson's Correlation (Filter Method), Backward Elimination (Wrapper Method), and Lasso Regularization (Embedded Method). Feature selection is a procedure to select a set of independent variables that contribute most to the predicted output, hence eliminating the irrelevant features in the data that may reduce the accuracy of an algorithm. The performance of all the models is evaluated using three accuracy measures, i.e., R-Squared, Mean Absolute Error (MAE), and Root Mean Square Error (RMSE). The results portray an improvement in the prediction accuracies after employing feature selection techniques. It is observed that for the QUES dataset, R-Squared value on an average improves by 157.89%. Also, MAE and RMSE values enhance by 19.59% and 24.90%, respectively, depicting an overall decrease in the error. Similarly, for UIMS dataset, R-Squared value on an average increase by 126.08%, representing an improvement in the accuracy. Further, MAE and RMSE values also improve for the UIMS dataset, by 12.44% and 8.16%, respectively.
Pengembangan Model Pembelajaran Membaca Permulaan melalui Metode Steinberg dengan Media Compic bagi Siswa Kelas II Sekolah Dasar

Beginning reading learning in elementary schools 21 and 03 in Serang City is good enough, but there are some things that are still lacking, namely the ability to read the beginning of students, students can only read words, easy, read, make, read, make, and read. pay attention to punctuation marks, in addition to the use of methods and models of learning to begin with reading in each school has not varied. For this reason the researcher tried to develop a model of beginning reading learning through the Steinberg method with Compic media to improve students' initial reading skills. Product design conducted by researchers using the Dick and Carey development method with 10 development, starting from making (1) Identifying the need to formulate objectives (2) Conducting subject matter analysis (3) Learning and context analysis (4) Explaining ability goals (5) Developing abilities learning instruments (7) Developing and selecting teaching materials (8) Developing and training formative evaluation (9) Learning revision programs and finally (10) Developing and planning summative learning. Then the finished product is tested for 40 students and 9 teachers. Based on the results of student and teacher responses can be assumed as a product development of reading learning models through the Steinberg method with Compic media created by researchers can be approved and appropriate. The product can be used in learning to begin reading in elementary school.Keywords: Steinberg Method, Media Compic, Reading Beginning
Voice Controlled Wheel Chair for Persons with Disability

Many disabled people usually rely on others in their standard of living especially in getting from one place to a different. To use wheelchair, they have someone to assist them in moving the wheelchair. Having a wheelchair system will help handicapped persons become independent. The system could be a wireless wheelchair system with a voice recognition system for triggering and controlling all its movements. The wheelchair responds to the voice command by user to perform any movement. It integrates a microcontroller, android phone, control interface board to maneuver the wheelchair. By using the system, users are able to operate the wheelchair by simply talking to wheelchair microphone. the essential movement functions includes forward and reverse direction, left and right turns and stop. It utilizes Renesas Microcontroller to manage the system operations. It communicates with the voice recognition processor to detect word spoken and so determines the corresponding output command to drive the left and right motors. To accomplish this task, a programming language program is written and stored within the controller's memory. GSM module is employed to send an alert message to their care takers just in case of emergency situations.
Attribute-Based Proxy Re-encryption for Health Record Maintenance in Cloud Environment

In cloud secure individual information sharing is the significant issues since it makes a few protections and information privacy issue while getting to the cloud administrations. Numerous difficulties present in close to home information sharing, for example, information security assurance, adaptable information sharing, proficient position designation, calculation effectiveness enhancement, are staying toward accomplishing functional fine-grained admittance control in the Personal Health Information Sharing framework. Individual wellbeing records should be encoded to ensure security prior to moving to the cloud. Targeting addressing the above difficulties, here propose a productive information sharing instrument for Personal Data Sharing, which not just accomplishes information security, fine-grained admittance control and authority assignment all the while, yet in addition advances the calculation effectiveness and is appropriate for asset compelled workers. A large portion of the information purchasers are straightforward, while not many of them are bad and will spillage their mystery keys in the intrigue. Despite what might be expected, PKG and information proprietor are thought to be completely confidential. Moreover, public cloud 1 and public cloud 2 can't conspire with one another. The non-tricky supposition that is sensible, on the grounds that the customer can request that two cloud workers can't uncover client’s data by contract. In proposed work, PR-ABE (Attribute Based Encryption with Proxy Re-encryption) method executes to give secure encryption of clinical information. To improve the concurrency control, here halfway key sharing plan will be executed. Utilizing this, information proprietor can send halfway mystery key for the mentioned client. This methodology conquers the key speculating assault in information recovery measure.
Information competency as a basis of professional activity of the teacher of the future

The problem of professional formation and development of the teacher of the future in the context of digitalization of education and knowledge economy requires more in-depth and targeted research. This work deals with theoretical substantiation, development and technologies of forming information competencys on the basis of the life cycle of teachers of the future knowledge against the background of global digitalization. The main research methods of research are comparative analysis of research in knowledge management and ICT competency development, expert assessments and statistical methods of data processing. The study concludes that knowledge management should serve as the theoretical basis for the organization of the educational process. The condition for the implementation of knowledge management theory in the educational process are information and personalised approaches.
Learning and Analyzing Representations for Meta-Learning and Control

Author(s): Rakelly, Kate | Advisor(s): Levine, Sergey | Abstract: While artificial learning agents have demonstrated impressive capabilities, these successes are typically realized in narrowly defined problems and require large amounts of labeled data. Our agents struggle to leverage what they already know to generalize to new inputs and acquire new skills quickly, abilities quite natural to humans. To learn and leverage the structure present in the world, we study data-driven abstractions of states and tasks. We begin with unsupervised state representation learning, in which the goal is to learn a compact state representation that discards irrelevant information but preserves the information needed to learn the optimal policy. Surprisingly, we find that several commonly used objectives are not guaranteed to produce sufficient representations, and demonstrate that our theoretical findings are are reflected empirically in simple visual RL domains.Next, we turn to learning abstractions of tasks, a problem typically studied as meta-learning. Meta-learning is an approach to endow artificial agents with this capability that leverages a set of related training tasks to learn an adaptation mechanism that can be used to acquire new skills from little supervision. We adopt an inference perspective that casts meta-learning as learning probabilistic task representations, framing the problem of learning to learn as learning to infer hidden task variables from experience. Leveraging this viewpoint, we propose meta-learning algorithms for diverse applications: image segmentation, state-based robotic control, and robotic control from sensory observations. We find that an inference approach to these problems constitutes an efficient and practical choice, while also revealing deeper connections between meta-learning and other concepts in statistical learning.
Analysis of the effect of caching convolutional network layers on resource constraint devices

Using transfer learning, convolutional neural networks for different purposes can have similar layers which can be reused by caching them, reducing their load time. Four ways of loading and executing these layers, bulk, linear, DeepEye and partial loading, were analysed under different memory constraints and different amounts of similar networks. When there is sufficient memory, caching will decrease the loading time and will always influence the single threaded bulk and linear mode. On the multithreaded approaches this only holds when the loading time is longer than the execution time. This depends largely on what network will be run. When memory constraints are applied caching can be a way to still run multiple networks without much increased cost. It can also be opted to use less memory on a device and use transfer learning with caching to still get the same results.
Analysis and Research on Technology Path, Social Value and Key Technologies of Intelligent Teaching System in the Age of Artificial Intelligence 2.0

In order to explore the problems in technology path, social value and key technologies of intelligent teaching system in the era of artificial intelligence 2.0, this paper takes four modules of intelligent teaching system in the era of artificial intelligence 2.0 as objects , and discusses the application path and social value of intelligent teaching system, and carries out in-depth research on the key technologies of natural language processing, question answering system, expression recognition and educational data mining corresponding to the four modules.This paper also analyzes the status, role and development trend of four key technologies in the application and development process of intelligent teaching system in the era of artificial intelligence 2.0.The research in this paper can provide the basis for the development and application of intelligent teaching system in the era of artificial intelligence 2.0, and promote the better integration and development of new information technology and education & teaching.
플립러닝과 디자인씽킹을 적용한 건축공학종합설계 교육과정 개발

In the era of the Fourth Industrial Revolution, a new curriculum that breaks away from the existing education programs is needed to cultivate men of talent for this new industrial era. In this regard, this study aimed to develop innovative curriculums that can be applied to the capstone design of architectural engineering at universities in Korea. To this end, it analyzed the operational status of the capstone design curriculum of domestic universities that operate engineering certification education programs. In addition, it examined educational innovation cases of advanced universities at home and abroad, and analyzed other studies related to educational renovation. Based on the analysis results, it developed the capstone design curriculum of architectural engineering that can be applied to domestic universities. The curriculum was developed into two contents: operating method and syllabus. The method which has been commonly applied to domestic universities was adopted as the operating method. The syllabus was developed by applying flipped learning and design thinking theory, which has widely been dealt with in advanced universities and recent studies. In addition, the curriculum was developed in the form of a prototype to meet the conditions of each university for its efficient utilization.