Reviewerly/exHarmony huggingface dataset:
Application of the Hyperledger Fabric Blockchain in a supply and maintenance chain for critical assets

The permissioned Blockchain technology is widely proposed to improve of the integration between different companies, providing a non-intermediated infrastructure to enforce trusts within a consortium. A typical case-study for assessing the real impact of this technology is the classical “supply-chain” scenario.
Wikispeech

Wikispeech is a free and open text-to-speech (TTS) solution that runs on MediaWiki. Wikispeech will make the Wikimedia projects speak – for anyone, illiterate, blind, or just belonging to the quarter of the world's population who prefer learning from listening rather than reading. In the true Wikimedia fashion, volunteers will be able to improve the quality of Wikispeech. Errors and flaws can be corrected, and in the long run, new voices and languages can be added. As part of the project, tools for collecting speech data will be developed. With this data, new voices can be created. And both the tools and the data will of course be released under a free license, so that they can be used in other speech technology projects too.
AB013. Impact of coronavirus disease (COVID-19) pandemic on sleep of undergraduate students: a systematic literature review

Background: The coronavirus disease has infected over 187 million globally and continually disrupting society. Global universities and colleges have closed and have shifted to distance learning. This sudden change in the living environment aggravates pre-pandemic mental and physical vulnerabilities of undergraduate students, including sleep. This systematic literature review aims to describe the prevalence of sleep problems, circadian rhythm disruption, sleep duration, sleep quality, insomnia symptoms, and psychological factors affecting the sleep of undergraduate students from various countries. Methods: A systematic search on March 2, 2020 for articles published from January 1 to December 31, 2020 using the words “COVID-19,” “Coronavirus,” “Pandemic,” “Sleep,” “Mental Health,” and “Students” from PubMed, Scopus, and Cochrane yielded 757 articles. After removing duplicates, and excluding articles not meeting the selection criteria, 26 articles were included. Criteria for selection were: article is originally open-access and in English, participants are undergraduate students and not in the postgraduate level, sleep outcomes were assessed via objective or subjective tools, and participants did not belong to allied health courses. Results: Included works came from the USA (5), Italy (5), Spain (1), China (8), Bangladesh (2), UAE (1), Jordan (1), India (2), and Indonesia (1). All included studies recorded data on sleep after stay-at-home orders. Point prevalence of self-reported sleep problems varied across regions, while longitudinal studies showed that prevalence increased during stay-at-home orders. Most studies showed a significantly increased sleep duration, and circadian rhythm disruption. Increased stress, depression, anxiety, discrimination, shame, stigma, negative affect, increased cases, increased digital media use, and living in rural residence, being unemployed, inaccurate knowledge of pandemic, and being a college student negatively influenced sleep. Conclusions: Results highlight the impact of stay-at-home orders on the sleep of undergraduates and reveal opportunities for local and global institutions to intervene with policies and programs to promote the well-being of this group.
Object Grasping Motion Generation by Attention Prediction Based on Language Instructions

In order to realize cooperative work between humans and robots, we developed a technology that understands human instructions and generates appropriate motions based on learning experience. In this paper, we proposed a motion generation method that uses an attention mechanism to extract object location information from visual information and an association mechanism to predict the indicated object. In a situation where multiple objects are placed, we confirmed that the robot accurately grasps the object indicated by a person.
Type 2 Hesitant Fuzzy Set

In this chapter, we are firstly going to present the notion of type 2 hesitant fuzzy set. Then, the interval-valued type 2 hesitant fuzzy set, which is also known as interval type 2 hesitant fuzzy set, will be given in the next part of this chapter.
Research on Recognition Method of Interface Elements Based on Machine Learning

With the development of mobile Internet, the number of mobile applications has increased dramatically. The core of the mobile application is the interface interaction, and robots can be used to operate mobile applications for GUI automation testing. The recognition of interface elements is the basis of GUI automation test for mobile applications. The GUI models built based on the recognition results of existing interface recognition methods are too simple and the positions of the interface elements identified are not accurate, which cannot meet the testing requirements of mobile application robots. Hence, we propose an improved interface recognition algorithm based on the YOLOv3 algorithm to solve these problems. The experiment results demonstrate that the algorithm can effectively realize the layout classification and region recognition of the interface based on the recognition of interface elements.
Household Waste Processing Robot using Biomass

A mobile robot has been developed that treats household waste with biomass and automatically distributes it to the field. The entire system is controlled by a webcam and a general-purpose microcomputer Raspberry Pi. The mechanical system was fabricated with a 3D printer. The overall size is about 50cmx30cmx20cm. The capacity of the biomass tank is about 20L. The tire diameter is about 130mm. In this paper, we report on a biomass processing system that effectively discharges biomass to the outside, a drive system that moves the field on four wheels, and an automatic driving system that follows a marker (golf balls, for example) placed in the field.
Performing buttoning motion by using dual arm robot

In this study, we propose a robotic buttoning task by a dual-arm humanoid robot using marker-based recognition. In our method, we design buttoning task by dividing into multiple subtasks, and the robot performs them in order. When the robot performed each subtask, it conducts and adjusts motions based on the position of the button and its hole obtained by maker-based recognition. For the implementation of the robotic buttoning task, we used a Baxter, an experimental T-shirt, and a button-aid. As a result of experiments, although the problem of low success rate remains, the robot was able to realize a series of buttoning operations.
The quest of privacy in public key infrastructure

The public key infrastructure (PKI) is the backbone of internet security. It ensures the authenticity, integrity, and non-repudiation. The certified public keys are life-timed. They may be revoked upon personal change, private key exposure or misbehaviour occurrence. Their use is secure and traceable. Yet, this traceability trait and the identity-based certificate usage may violate the user's privacy. Therefore, there needs to be a balance between the accountability and authenticity requirements on the one hand and the privacy demand on the other hand. In this paper, we design a blockchain-based privacy-aware public key infrastructure system, which guarantees the same security properties besides ensuring the privacy. The users have two types of elliptic curve cryptography (ECC) keys, identity-based long-term certified keys and on-the-fly temporal anonymous keys denoted as pseudonyms. These pseudonyms are stored and published on the blockchain. The proposed PKI achieves a similar security level as that of the conventional PKI while ensuring the privacy.
Manual Neural Network Processing

In this chapter, we show the internals of neural network processing by using a simple example. We provide a detailed step-by-step explanation of the calculations involved in processing the forward and backward propagation passes.
A Study on Changes in Academic Achievement through Non-face-to-face Level-differentiated College English Education and Learners’ Satisfaction with it

This study aims to investigate changes in students’ academic achievement through non-face-to-face level-differentiated college English education and their satisfaction with it. For these purposes, the researchers compared and analyzed two mock TOEIC tests given at the beginning of the 1st semester and the end of 2nd semester. We found that the academic achievement of the students at each level did not improve significantly. Surveys were conducted to check the satisfaction of the students with the non-face-to-face level-differentiated education. The results showed that the students in level 3 did not have much satisfaction with the non-face-to-face level-differentiated classes compared to the students in level 4 or 5. This shows that non-face-to-face classes do not give satisfaction to low-level students who have difficulty in self-directed learning. The expansion of non-face-to-face education is expected even in the post-COVID era. Therefore, professors'' guidance and management will be required to improve students'' self-directed learning ability. (Catholic Kwandong University)
Research on Teaching Strategies in High School PE Class Based on Fitness Module

High School PE Class; Fitness Module; Teaching Strategies
Pursuing efficient data stream mining by removing long patterns from summaries

Frequent pattern mining is a useful data mining technique. It can help in digging out frequently used patterns from the massive internet data streams for significant applications and analyses. To uplift the mining accuracy and reduce the needed processing time, this paper proposes a new approach that is able to remove less used long patterns from the pattern summary to preserve space for more frequently used short patterns, in order to enhance the performance of existing frequent pattern mining algorithms. Extensive simulation runs are carried out to check the performance of the proposed approach. The results show that our approach can strengthen the mining performance by effectively bringing down the required run time and substantially increasing the mining accuracy.
Optimal threshold padlock systems

In 1968, Liu described the problem of securing documents in a shared secret project. In an example, at least six out of eleven participating scientists need to be present to open the lock securing the secret documents. Shamir proposed a mathematical solution to this physical problem in 1979, by designing an efficient k-out-of-n secret sharing scheme based on Lagrange’s interpolation. Liu and Shamir also claimed that the minimal solution using physical locks is clearly impractical and exponential in the number of participants. In this paper we relax some implicit assumptions in their claim and propose an optimal physical solution to the problem of Liu that uses physical padlocks, but the number of padlocks is not greater than the number of participants. Then, we show that no device can do better for k-out-of-n threshold padlock systems as soon as k ⩾ 2 n , which holds true in particular for Liu’s example. More generally, we derive bounds required to implement any threshold system and prove a lower bound of O ( log ( n ) ) padlocks for any threshold larger than 2. For instance we propose an optimal scheme reaching that bound for 2-out-of-n threshold systems and requiring less than 2 log 2 ( n ) padlocks. We also discuss more complex access structures, a wrapping technique, and other sublinear realizations like an algorithm to generate 3-out-of-n systems with 2.5 n padlocks. Finally we give an algorithm building k-out-of-n threshold padlock systems with only O ( log ( n ) k − 1 ) padlocks. Apart from the physical world, our results also show that it is possible to implement secret sharing over small fields.
DESIGNING THE EDUCATIONAL PRACTICES OF THE UNIVERSITY TAKING INTO ACCOUNT THE MOTIVATIVE STRUCTURE OF THE STUDENTS

Modern digitalization requires changes in the higher education system. Analysis of the motivational structure of freshmen and the requirements of society for a graduate, allow us to indicate the direction of such changes. Purpose of the article is to describe the ways of designing educational practices at the university, in accordance with the real structure of students' motives. A systematic approach to design allows us to present the educational process from the point of view of three concepts of the development of the subject of educational activity: sociogenesis, professional genesis, ideal genesis. Each concept needs its own educational practices for development.
Development of Privacy-Preservation of Big Data with support of Hyperledger Fabric and IPFS

Alpesh Vaghela et al., International Journal of Advanced Trends in Computer Science and Engineering, 10(5), September - October 2021, 2930 – 2935 2930 ABSTRACT Academics and industry researchers alike find privacy-preservation of large data to be a very intriguing field of study. Data collection, storage, and processing are the three steps of big data's life cycle. At different stages of the big data life cycle, different privacy and security solutions are used. Many health-care stakeholders are working together to develop a new pattern for safeguarding people from an unknown disease while also promoting economic prosperity. The methods of big data processing and big data analytics will be employed to discover new economic growth patterns. Because the current method of data anonymization leads to data breaches, researchers needed to develop a new way of large data mining or knowledge discovery in databases (KDD), in which numerous parties share their data to identify new patterns. This study introduces a novel way for data mining privacy protection based on Blockchain and the InterPlanetary File System (IPFS) (PPDM). The authors propose leveraging Blockchain and IPFS to create the ChainPPDM approach for preserving big data privacy. The data saved on the blockchain is immutable, transparent, and safe, and it allows for decentralized storage. IPFS is a distributed file system that stores data in a decentralized manner.
Chapter 2. Symbolic Reasoning in Latent Space: Classical Planning as an Example

Symbolic systems require hand-coded symbolic representation as input, resulting in a knowledge acquisition bottleneck. Meanwhile, although deep learning has achieved significant success in many fields, the knowledge is encoded in a subsymbolic representation which is incompatible with symbolic systems. To address the gap between the two fields, one has to solve Symbol Grounding problem: The question of how a machine can generate symbols automatically. We discuss our recent work called Latplan, an unsupervised architecture combining deep learning and classical planning. Given only an unlabeled set of image pairs showing a subset of transitions allowed in the environment (training inputs), Latplan learns a complete propositional PDDL action model of the environment. Later, when a pair of images representing the initial and the goal states (planning inputs) is given, Latplan finds a plan to the goal state in a symbolic latent space and returns a visualized plan execution. We discuss several key ideas that made Latplan possible which would hopefully extend to many other symbolic paradigms outside classical planning.
On the Source of Innovation and the Art of Discovery in Physics

There are many breakthroughs in the history of physics, which dates from putting forward scientific problems and contributes the progresses of science and technology eventually. The scientists in physics have the spirits of making innovation and overcoming difficulties. Moreover, they have also demonstrate the art of scientific discovery to the world.
Development and Control of Hind Limbs of Bird-shaped Robots for Landing on Tree Branches

Stable landing is an important issue for the safe operation of flying robots. It can be expected that the range of activities of flying robots will expand if landing becomes possible in places where it has not ever been possible to land.
Images and Image Processing

Image processing is a computational process that transforms one or more input images into an output image. Image processing is frequently used to enhance an image for human viewing or interpretation, for example to improve contrast. Alternatively, and of more interest to robotics,it is the foundation for the process of feature extraction which will be discussed in much more detail in the next chapter.
Website Work Quality Assessment to Improve Webometrics Rank on the Website of https://uin-suka.ac.id/

UIN Sunan Kalijaga is one of the State Islamic Universities that applies website media as a medium to provide information to users both for the academic community and the general public who want to know information related to information about campus, one of which is news information, registration, announcements and so on. The strength of the website becomes a measuring tool in determining rankings in Webometrics. The purpose of ranking or webometrics (https://www.webometrics.info/) is to promote the publication of the website. Supports Open Access, electronic access to scientific publications and other academic materials. This article tries to explain the website visibility of UIN Sunan Kalijaga Yogyakarta as an effort to increase webometrics ranking. This study uses a qualitative approach with a descriptive type, by analyzing information sources, website structure and technology with bibliometric and infometric approaches used by the website of UIN Sunan Kalijaga Yogyakarta. The results of the analysis obtained by measuring the usability element, the uin-suka.ac.id website shows the uin-suka.ac.id website looks quite "friendly" to use on mobile phones or smartphones that access the uin-suka.ac website. en. Analysis of Information Quality shows that the uin-suka.ac.id website does not yet have good backlinks. The quality of service interactions perceived by users of the uin-suka.ac.id website does not appear to have produced a good enough impression in their trust and empathy activities in the access process, such as in terms of transactions and information security, message delivery, personalization and communication activities.
IDENTIFICATION OF UNAUTHORIZED MINING FARMS USING SMART METERING DATA

Digital currency extraction has become a popular activity in many countries since the increase of digital currency value in financial and economical exchanges in the world. The illegal usage of the digital currency extraction device (called a miner) is a big problem for utilities in many countries. The high energy consumption of miners is another problem that is critical for hot days and peak hours. In this paper, an efficient algorithm is proposed to recognize the miner&apos;s consumptions using the smart meter data mining. For this reason, the current consumption, power factor and power consumption are considered as the main parameters. Accurate analyses are performed for the miner&apos;s behaviour and some principal criterion are proposed to identify miner&apos;s consumptions. Moreover, the proposed algorithm is implemented to recognize miner&apos;s consumptions in Mashhad Electric Energy Distribution Company (MEEDC). The final results show the applicability and proper performance of the proposed solution in energy management and providing a new source of earning money for the utilities.
Path Planning Method For 3D Printer Heads using Continuous Fiber Composites

In the past, we have proposed a one-stroke path generation algorithm for 3D printing using a continuous fiber composite material. However, with this method, we cannot control the output path by setting any priorities to the proposed algorithm. In this paper, the path is controlled by prioritizing the edges of the undirected graph used in the algorithm. In addition, a database of generation routes is created, and the priority of edges that pass infrequently is increased. Therefore, different paths are generated for each layer to equalize the strength of the modeled object. The effectiveness of the proposed method is verified by printing based on the generated path and observing the internal state with X-ray Computed Tomography.
Linear-Time Oblivious Permutations for SPDZ

In this paper, we present a secure multiparty computation (MPC) subroutine for obliviously permuting elements in a private vector. The subroutine makes use of the private data representations used in the SPDZ protocol set; it can be composed with other privacy-preserving operations in this set and it also provides active security with abort. The online computation and communication complexity of the subroutine is linear in the length of the permuted vector.
An interesting discussion of running time for some sorting techniques without comparison sort

Sorting is one of important techniques for computer science as well as other technology areas; sorting is used mostly in searching, database management systems, scheduling, and computing algorithms. This paper aims to analyze the timing cost for some sorting techniques without comparison sorting such as Pigeonhole sort, Counting sort, Radix sort, and Bucket sort; these are sorting techniques with linear running time. Each technique is considered in running time, in-place, stable, and extra space if possible. The main contribution of the paper is experiments of sorting techniques in 90 large size test data. This is also a useful reference for working with sorting techniques.
Recommendation system based on user preference and prediction rating

In order to alleviate the data sparsity and cold start problems in recommendation systems, researchers usually use side information to improve recommendation performance, such as item attributes and context. This paper regards knowledge graph as side information, and proposes a recommendation model that combines the knowledge graph and matrix factorization to generate recommendations. This model takes the user historical interaction items as the origin, using the idea of preference propagation, iteratively expands the user preferences along the relation links between entities in the knowledge graph. According to user preference features of each propagation stage, constructs the user preference vector and obtains the user preference probability for candidate item. Then the matrix factorization algorithm is applied to the user-item rating matrix to obtain the user prediction rating for the candidate item. Finally, we make the top-k recommendations to user based on the user preference probability and prediction rating for the candidates. Experiments on the public dataset Movielens-1M show that the model can effectively improve the accuracy, recall and F1-socre.
Steganography-based Password Management: A conceptual Model

The problem of password management is one of the oldest and most problematic issues in the context of computing security and personal digital information. Despite the fact that many researched have been carried out on this problem, most solutions have remained focused on the server side assuming a trusted infrastructure that will enforce a proper management scheme for the user passwords and that exists outside of the user’s domain. On the other hand, user or client-side password management has remained at the level of recommendations to users providing some general guidelines to what constitutes good management of a user’s set of passwords. In this paper, we propose a novel approach by focusing on the design of a system for the management of a user’s passwords that runs within the domain of the user.The new system utilizes information hiding by means of steganography techniques in order to create seamless management of user passwords. To the best of our knowledge this would be the first attempt of using stego-image as a token for two-factor authentication in the literature, which needs no extra cost of hardware, easy to use and implement.