Reviewerly/exHarmony huggingface dataset:
Orchestrating Outdoor Location-Based Learning Activities

The aim of this study was to find out to what extent teachers’ workload and orchestration challenges differ, when part of the creating process and orchestration load is shared to students. To compare teachers’ experience, two different pedagogical scenarios have been under investigation. During the period of 1 year, a group of 12 teachers developed and tested learning scenarios with a location-based application Avastusrada for K-12 students of various ages. The developed scenarios directed students to follow ready-made outdoor tracks and solve tasks in different location points. Additionally, for comparison purposes, an experiment was conducted with an application SmartZoos in which students were invited to take the role of the creator of a learning experience and acquire new knowledge through the creation process. Focus group interviews with the participating teachers were carried out to better understand their perspective of sharing roles with students, possible differences of workload and orchestration challenges in these two scenarios. The interviews show that the students have been successfully involved in planning and creating learning scenarios, reducing the burden on teachers’ work and planning time. The main problems that teachers have presented were assessment, management and communication with students, for example, tracking students’ movement, access to students work and the learning outcomes. These can be partially solved by developing additional features for the used applications.
MFID: uma Solução Computacional para a Identificação da Fadiga Muscular Durante a Reabilitação Física de Indivíduos Amputados

It’s know that computing is becoming increasingly integrated intoother knowledge areas, providing practical and innovative solutionsto many types of problems, including to health care area. Inthis sense, the amputatee patients physical rehabilitation processalso shows as an important area for tools development that assistthe professional physiotherapist, since this rehabilitation processis long-lasting and exhaustive for patients. Thus, the present workdescribes the development of a solution called Muscle Fatigue Identifier(MFID) to improve the amputee physical rehabilitation process,by detecting muscle fatigue during physical exercise sessions,which once unidentified, can cause injury and pain to patients,further prolonging treatment. The developed system consists inthe integration of sensors, hardware and software. This way, it waspossible to monitoring and identify the muscle fatigue occurrenceduring the physical exercise sessions performed by the patients, aswell as allowing a use tool to evaluate the physiotherapy treatment.
STUDENTS’ PERSPECTIVES AND CHALLENGES IN ENGLISH SPEECH PROGRAM

The purpose of this mixed method research is to describe the students’ perspectives, the students’ challenges and how they overcome those challenges in English speech program. Approximately 68 students filled the questionnaires and 15 of them were selected for the interview. The instruments used in this study were a closed ended questionnaire consisting of 22 questions adapted from the public speaking competence rubric proposed by Schreiber, Paul and Shibley (2012) and the interview guideline adapted from Abubakar, Atmowardoyo and Korompot (2017). The findings of the study revealed that the English speech program was an essential program to increase the students’ speaking ability (65%). Moreover, the program gave advantages to the students (51%). It also found out that the program mostly challenged the students to choose the appropriate topic to the audience (69%) and to use good language (59%). From the interview, it found out that the students made the following efforts to overcome the challenges, namely making independent preparation for the performance, doing practice with friends and having consultation with classroom coordinators.
A Study on the Blended Teaching Mode of College English from the Perspective of POA

the output oriented approach pays attention to the efficiency of foreign language teaching, which is of great significance to the hybrid teaching of College English, which tries to combine the advantages of online and offline teaching and pursue the best learning efficiency. Under the guidance of the main teaching ideas of output oriented approach, this paper aims at the problems existing in the current college English hybrid teaching mode, and optimizes it from three aspects: the construction of online teaching resources, the implementation of teaching process and the formation of teaching evaluation.
POSTER: Detecting Suspicious Processes from Log-Data via a Bayesian Block Model

Analyzing the behavior of an attacker is critical for determining the scope of damage of a cyber attack, recovering, and fixing system vulnerabilities. However, finding all attacker's traces from log data is a laborsome task, where the performance of existing machine learning methods is still insufficient. In this work, we focus on the task of detecting all processes that were executed by the attacker. For this task, standard anomaly detection methods like Isolation Forest, perform poorly, due to many processes that are used by both the attacker and the client user. Therefore, we propose to incorporate prior knowledge about the temporal concentration of the attacker's activity. In general, we expect that an attacker is active only during a relatively small time window (block assumption), rather than being active at completely random time points. We propose a generative model that allows us to incorporate such prior knowledge effectively. Experiments on intrusion log data, shows that the proposed method achieves considerably better detection performance than a strong baseline method which also incorporates the block assumption.
Making the show go on : A study of sound engineers in French and Dutch fields of music production

While the collective nature of artistic creation has been long accounted for in works such as Howard Becker’s Art Worlds, very few insights and empirical accounts of the role of technical crews exist to this date. Using a combination of qualitative and quantitative methods, this thesis provides an understanding of the specific contribution of sound technicians in music production, framed as technical intermediaries, and uses this case to include technicians in a revised theoretical framing of the collective production of symbolic goods. Insights from Randall Collins’ interaction ritual chains and Jeffrey Alexander’s cultural performances are used to frame music performances as rituals intending to provide emotional outcomes and social bonding to their participants. The role of technical intermediaries in music performances is to create the material conditions necessary to achieve the emotional outcomes which are their purpose. They bring artistic contents, in their physical forms, to audiences, while preserving the systems of meaning conceived by artists and cultural intermediaries. This thesis describes various implications of bringing technicians in the analysis of the collective mechanisms of cultural production. It questions the notion of generalized symmetry central to actor-network theory and science and technology studies. It proposes an alternative interpretation of Baumol’s law and the “cost disease” of performing arts. It argues that music genres might not be an analytic category best fitted to analyse social practices surrounding music. Finally, it brings insights on sound technicians’ careers and division of work in music production.
Type checking extracted methods

Many object-oriented dynamic languages allow programmers to extract methods from objects and treat them as functions. This allows for flexible programming patterns, but presents challenges for type systems. In particular, a simple treatment of method extraction would require methods to be contravariant in the reciever type, making overriding all-but-impossible. We present a detailed investigation of this problem, as well as an implemented and evaluated solution. We show how existing gradual type systems such as TypeScript and Flow are unsound in the presence of method extraction. Working in the context of Racket, whose \emph{structure} system includes a low-level form of methods, we show how to combine two existing type system features---existential types and occurrence typing--to produce a sound approach to typing method extraction. Our design is proved sound, has been implemented and shipped in Typed Racket, and works for existing Racket programs using these features.
Iot in Cad 4.0 with Augmented Reality Glass

Abstract This product absorbs the power of our smart phone to endow with the augmented reality (AR) experience. The sensor data fusion and camera allow the software to accurately recognize and trail the surroundings. Radial target image can be easily identified and trailed with the help of our smartphone, thereby creating a link between the holographic image and the target image is possible. This software allows us for the viewing of our own 3D CAD models in augmented reality. The software makes it achievable to sight any CAD models in accurate three dimensions (3D), to size, and in the real context of our own situation. Through mirror, lightweight stereoscopic lenses, and combiner glass, stereo image can be focussed on display before our eyes. As a result, virtual 3D holographic image is generated, which can be viewed from any angle.
A Study on Changes of Korean Contemporary History Curriculum - Focusing on “Korean History” in High School -

In this paper, we analyzed the changes in Korean contemporary history curriculum after liberation focusing on starting point and lower limit of contemporary history, characteristic of contemporary history education goal, composition of contemporary history unit contents. The analysis subject of this article is the curriculum of high school “Korean history” from the “course of study” to the 2018 revised curriculum. The starting point of contemporary history changed three times. The lower limit of contemporary history in textbooks is the policy of the current government during the 2nd and 3rd curriculum, and the national government index after the 4th curriculum. In the goal of modern history education, after the 6th curriculum, the ideology has weakened, and it has been emphasized to lay the groundwork for solving current problems based on a deep understanding of modern history. The contents of contemporary history were added in accordance with political and social demands, and sometimes progress in historical research.
Offline Learning for Planning: A Summary

The training of autonomous agents often requires expensive and unsafe trial-and-error interactions with the environment. Nowadays several data sets containing recorded experiences of intelligent agents performing various tasks, spanning from the control of unmanned vehicles to human-robot interaction and medical applications are accessible on the internet. With the intention of limiting the costs of the learning procedure it is convenient to exploit the information that is already available rather than collecting new data. Nevertheless, the incapability to augment the batch can lead the autonomous agents to develop far from optimal behaviours when the sampled experiences do not allow for a good estimate of the true distribution of the environment. Offline learning is the area of machine learning concerned with efficiently obtaining an optimal policy with a batch of previously collected experiences without further interaction with the environment. In this paper we adumbrate the ideas motivating the development of the state-of-the-art offline learning baselines. The listed methods consist in the introduction of epistemic uncertainty dependent constraints during the classical resolution of a Markov Decision Process, with and without function approximators, that aims to alleviate the bad effects of the distributional mismatch between the available samples and real world. We provide comments on the practical utility of the theoretical bounds that justify the application of these algorithms and suggest the utilization of Generative Adversarial Networks to estimate the distributional shift that affects all of the proposed model-free and model-based approaches.
A Garbage Image Classification Framework Based on Deep Learning

In this paper, we present a garbage image classification framework to tackle the waste sorting problem which besets residents around the world every day. The proposed framework consists of two modules, a convolutional neural network backbone transferred from the ImageNet classification task and a customized network header designed for the garbage image classification task. To friendly deploy into mobile devices, the proposed method makes an artful tradeoff between classification accuracy and running efficiency. The proposed framework yields 95.62% online classification accuracy on the test dataset provided by Huawei cloud with 95 ms per image inference time occupying 897 Megabytes GPU memory.
Measurement Framework of Smart Factory Technology Capability in Small-Medium Manufacturing Industry

In the 4th industrial revolution, smart factory in manufacturing industry has carried forward as a critical industry policy in most countries. Manufacturing industry has established its smart technology environment appropriate for its manufacturing fields in order to increase its competitiveness. Especially, smart factory in small-medium manufacturing industry is very important for its innovative production and operation activity, and for the efficient betterment of its manufacturing performance. In order to reasonably manage and improve smart factory, we need a rational measurement framework to efficiently gauge a smart factory technology capability of small-medium manufacturing industry. This research develops a measurement scale for smart factory technology capability of small-medium manufacturing industry. The developed measurement framework for smart factory technology capability is verified by reliability analysis and factor analysis based on previous literature. Hence, this study presents a 12-item measurement instrument that can examine the smart factory technology capability of small-medium manufacturing industry in a smart technology perspective.
Human-computer interactive system development for cloud removal from single images

Remote sensing imaging is disturbed by clouds frequently and produces images with low contrast and poor resolution. Algorithms removing clouds from single remote sensing images are expected to improve their qualities and aroused worldwide interests. Compared with multi-image methods, cloud removal algorithms from single images reduce the demands for weather and improve the image collecting flexibility. In this paper, a human-computer interactive system for cloud removal from single images was developed according to the proposed cloud removal algorithm. Firstly, the distributions of clouds and sceneries in the contaminated remote sensing images were discussed. Features of the dual tree complex wavelet transform (DTCWT) to split image frequencies were investigated after the principle of DTCWT was analyzed. By combining the frequency features of DTCWT sub-bands and the frequency distributions of the remote sensing images, the cloud removal algorithm based on DTCWT was proposed, and its procedures were described completed. Then, a human-computer interactive system for cloud removal was developed in order to improve the cloud removal processing conveniences and achieve the best performance. The development schemes were introduced. The system structures were illustrated. The design methods of the camera driver and video signal output program were described. Communication streams between modules and human-computer interaction interfaces were designed further according to the cloud removal algorithm based on DTCWT. The system has a very good flexibility which permits the input of most parameters from users and is expect to achieve a best performance. Finally, the device of the system was completed and tested. Image acquisition and cloud removal processing experiments were implemented by applying the human-computer interactive system. Cloud removal effects by adjusting parameters through the human-computer interaction interfaces were compared and evaluated. It proved that the designed system has a pleasant human-computer interaction ability and satisfactory cloud removal performance.
Quartet of Return, Continuation, Deepening and Expansion: Direction and Prospect of Chinese Modern History Research Field

Considering the realistic situation faced by Chinese modern academia in Korea, the research results of various and interesting academic papers have been made over the past two years. For the direction and prospect of Chinese modern history research in the future, I would like to mention some points as follows:<BR> First of all, it is the return of the research subject. In recent years, few notable papers have been published on major topics in Chinese modern history. Therefore, we look forward to the interest of researchers in this area and the promotion of research.<BR> Next is the continuation and deepening of the research subject. Researchers are carrying out ongoing research on a specific subject, and in order for these papers to be reproduced in a large research sense, they should not neglect publishing them in book form.<BR> Finally, it is an extension of the research subject. Looking at the research achievements of the past two years, the research subject has been made a some extension. Nevertheless, there is no doubt that it should be accompanied by deep research study and discovery of new historical materials.
The Reclamation and Commodification of the N-word

By Julius Freeman, Psychology and Communication; Marcus Brooks, University of Cincinnati Advisor: Marcus Brooks Abstract: This research project is an in-depth look at the N-word and why it is so controversial in our society. There is a gap of knowledge in how the N-word became such unique colloquialism in American society and how it became micro representation of the macro discussion about race. The perspective of this project is that the word reclaimed by African Americans after it had been used to oppress for centuries. During that reclamation the word became significant part of hip-hop/ rap culture and by the astronomical spread of hip-hop, now being the number one genre in America, the word is now inextricably linked to the American mind and vernacular. The spread of the n-word into communities that may not know the full context came through free market of capitalism, more specifically a concept called capitalist recuperation. There are few questions being answered in this research project, which are about when did the reclamation of the n-word happen, was there a moment or person that embodied that reclamation, and how the n-word became a significant phenomenon in popular culture. This research will go further than this project but this is to establish a foundation and understanding how then-word gained itOs fame.
Quantum memories using Rubidium and what this means for photonic quantum computing

Presentation: "Quantum memories using Rubidium and what this means for photonic quantum computing", for the Cold Atoms and Ions for Quantum Technologies conference of the SPIE Photonex and Vacuum Expo 2020.
Dynamic Page Creation

Our home page shows a listing of all the blog posts, which displays excerpts, but we still need a dedicated page for each post to show their full content. By hooking into Gatsby’s APIs, we can dynamically create pages based on the blog post data.
Weighted Slopeone-IBCF Algorithm Based on User Interest Attenuation and Item Clustering

Aiming at the problem that the traditional collaborative filtering algorithm has low recommendation accuracy and unsatisfactory results when the matrix is sparse, weighted SlopeOne-IBCF algorithm based on user interest attenuation and item clustering is proposed. Firstly, use the weighted Slope One algorithm to predict user ratings and fill in matrix, fuzzy cluster the items in the data set; then combine the interest decay function to modify the target user’s historical item score, and determine the category of items that the target user is interested in at the current stage; then integrate the time decay function into the process of calculating the similarity, pay attention to the factors that interest and hobbies change with time; finally, the similarity Top k items that are the highest and are not in the user’s historical item set are recommended to the target user. Experiments show that the algorithm in this paper effectively alleviates the problem of poor recommendation and inaccuracy in the case of sparse data, and further improves the accuracy of recommendation.
Secure Outsourcing Protocol Based on Paillier Algorithm for Cloud Computing

With the rapid development of the Internet, network technology has gradually penetrated into the lives of ordinary people, and the advent of the era of big data has made people finish work through computers. The development of cloud computing provides people a Virtual platform to solve the computing problems. However, when users outsource data to cloud computing platforms, cloud security issues also come behind. Because cloud computing technology is an emerging technology, technical confidentiality is not enough to meet user needs, and the relevant laws and regulations of the technology are not perfect. It also lacks perfect service agreement management standards and calculation mechanism. To solve the security problems of cloud computing, homomorphic encryption came into being. By analyzing the development trend of cloud computing and the application of homomorphic encryption in cloud computing, this paper introduces the basic knowledge of Paillier encryption algorithm, and proposes a cloud data secure outsourcing protocol, which partially solves the blind computing problems. The method, which transfers the data calculation to the two parties separately through key division, can ensure the security of the data in the calculation and protect the integrity and confidentiality of the outsourced data in the entire process. Through protocol analysis, this method can achieve the expected result.
Prototype Sistem Inventory Control Berbasis Barcode Pada PT.Anugrah Distributor Indonesia

The rapid technological growth should be able to support industrial activities, this occurs in checking the inventory of goods at PT.Anugrah Distributor Indonesia, at this time the warehouse admin must check and then input data on so many stock items that are often missed so it takes a long time in checking stock of goods. By scanning items by using a barcode, displaying the history of the incoming and outgoing goods code to the warehouse and being able to manage the results of scanning based on the time and date in real-time. The use of SWOT or Strengths, Weaknesses, Opportunities &amp; Threats methods as well as to obtain information that is appropriate to the problem that researchers must overcome using interviews, observation and literature studies. and to design a system design using UML and then using PHP (Hypertext) and Sublime Text applications. The inventory control system application will be able to facilitate the recording and search of inventory data in real-time as well as controlling the stock of goods in the company