Reviewerly/exHarmony huggingface dataset:
Ensemble Feature Selection for the Recognition of Human Activities and Postural Transitions on Smartphones

Human activity recognition (HAR) plays a vital role in the field of ambient assisted living for the welfare of senior citizens which provides satisfactory results in terms of wearable devices, ambient sensors, and smartphones. The usage of smartphones is familiar among users and it is widely adopted in activity recognition due to its low-cost, intrusiveness, and convenience. The embedded inertial sensors such as tri-axial accelerometer and gyroscopes are utilized to analyze the activities through the generated time and frequency domain features. Various state-of-the-art techniques have been proposed for significant feature selection to improve recognition performances. This paper proposes an ensemble of feature selection technique which selects minimal features from the intersection of features evolved in various other feature selection techniques. Extensive experimentation has been carried out using the HAPT dataset to identify the significant difference with state-of-the-art techniques through familiar classification performance metrics.
BSO-MV: An Optimized Multiview Clustering Approach for Items Recommendation in Social Networks

Clustering-based approaches have been demonstrated to be efficient and scalable to large-scale data sets. However, clustering-based recommender systems suffer from relatively low accuracy and coverage. To address these issues, we propose in this article an optimized multiview clustering approach for the recommendation of items in social networks. First, the selection of the initial medoids is optimized using the Bees Swarm optimization algorithm (BSO) in order to generate better partitions (i.e. refining the quality of medoids according to the objective function). Then, the multiview clustering (MV) is applied, where users are iteratively clustered from the views of both rating patterns and social information (i.e. friendships and trust). Finally, a framework is proposed for testing the different alternatives, namely: (1) the standard recommendation algorithms; (2) the clustering-based and the optimized clustering-based recommendation algorithms using BSO; and (3) the MV and the optimized MV (BSO-MV) algorithms. Experimental results conducted on two real-world datasets demonstrate the effectiveness of the proposed BSO-MV algorithm in terms of improving accuracy, as it outperforms the existing related approaches and baselines.
Issues of Concern and Development Directions of Higher Education Institutions of the Tyumen Oblast’ in Present- Day Context

The article focuses on the problems, priorities and directions of strategic development of higher education institutions in the Tyumen region in today’s conditions. The article substantiates the need to develop and implement flexible strategies for the development of higher education institutions. The authors give a brief retrospective review of publications on the problems and the formation of the management of educational systems. Based on the analysis of the expert survey data, they also identify the problems concerning the organization and functioning of higher education institutions in the Tyumen region and the key directions of their development. The comparison between the data of the expert survey and the analysis of the problems of higher education, reflected in the publications of leading contemporary sociologists confirms the relevance of the research. It also allows us to conclude that there are systemic problems that have been seeking solutions for many years and new factors that threaten the stability of the functioning and development of regional universities. Finally, the authors indicate aspects that contribute to the development of higher education in the region: the need to expand practice-oriented training, create an active and interactive educational environment for students, the interdisciplinarity of university training and retraining of specialists, the use of distance learning opportunities, including the attraction of the teaching staff of the necessary qualifications on a permanent, temporary or experimental basis. The question of the impact of distance learning on the quality of higher education remains debatable and requires further study.
A Study of Copy Image Detection Using the Model of Raspberry Pi Machine Learning Process

Many physical gadgets are associated to the internet shaping. They are known as the Internet of Things. These gadgets are developing a calculation of useless and useful data. The preparing and transmission of this data was an investigating task. Various internets of things are talked in the current research work. A sector of security was the unmistakable application in the internet of things system. It was efficient to reduce the crime and provides security to individuals form business, home, military and so on. This research paper consumes the Raspberry Pi Internet of things basic characteristics the representation for the machine learning process. It ends the request of customer employments for instance, to transmit information safely by the process of internet of things engineering. It analyzes for normal internet of things, very low manageable and finance process depend upon the structure of security learning process that aids detectable 97% proof, nearby identification and outsiders verification. These arrangements develops by using the USB web camera as an image capturing unit, door hit through electrical way that provides APIs, to accumulate preparations that was perfect along with the structure of internet of things for improving the video graph arrangement for Raspberry Pi app.
News Opinion Classification Application With Support Vector Machine Algorithm Using Framework Codeigniter

News is an information that contains a lot of data, one of which is data about opinion / sentiment. The opinion / sentiment data of a news can be used for many things. To get the opinion value of a news, it is necessary to do a sentiment analysis technique on the news data that wants to know the level of opinion produced. Sentiment analysis is a technique that uses the data mining method. To see the height of the opinion value of a news item, the Support Vector Machine algorithm is used, which is one of the algorithms in the data mining method that is able to classify data sets into two classes. Using the CodeIgniter framework based on the PHP programming language, an application was developed that can classify the news into two classes, namely the positive class and the negative class. By using 100 pieces of news data from the national news portal, namely detik.com, about 700 sentences and more than 1000 words are generated which are then classified using the SVM algorithm. Applications are able to achieve an accuracy rate of 76%
RobertNLP at the IWPT 2021 Shared Task: Simple Enhanced UD Parsing for 17 Languages

This paper presents our multilingual dependency parsing system as used in the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies.Our system consists of an unfactorized biaffine classifier that operates directly on fine-tuned XLM-R embeddings and generates enhanced UD graphs by predicting the best dependency label (or absence of a dependency) for each pair of tokens.To avoid sparsity issues resulting from lexicalized dependency labels, we replace lexical items in relations with placeholders at training and prediction time, later retrieving them from the parse via a hybrid rule-based/machinelearning system.In addition, we utilize model ensembling at prediction time.Our system achieves high parsing accuracy on the blind test data, ranking 3 rd out of 9 with an average ELAS F1 score of 86.97.
Secured Mail Transformation System Using Machine Learnin

Today, Email Spam has become a major problem, with Rapid increament of internet users, Email spams is also increasing. People are using email spam for illegal and unethical conducts, phishing and fraud. Sending malicious link through spam emails which can damage the system and can also seek in into your system. Spammer creates a fake profile and email account which is easier for them. These spammers target those peoples who are not aware about frauds. So there is a need to identify the fraud in terms of spam emails. In this paper we will identify the spam by using machine learning algorithms.
On some properties of the Diophantine equations a&lt;sup&gt;2&lt;/sup&gt; = b&lt;sup&gt;2&lt;/sup&gt; ± bc +c&lt;sup&gt;2&lt;/sup&gt;

This paper gives some properties related to the Diophantine equations a2 = b2 ± bc +c2. It has been shown that, in some cases, each of the two Diophantine equations has multiple solutions. The formulas for multiple solutions are derived.&#x0D; J. Bangladesh Acad. Sci. 45(1); 123-125: June 2021
High-Dimensiоnаl Quаntum Сlоning

Tries at cloning a quantum tool result in the arrival of imperfections in the nation of the copies. this is a outcome of the no-cloning theorem, that is a vital law of quantum physics and the spine of protection for quantum communications. in spite of the reality that ideal copies are prohibited, a quantum country may be copied with maximal accuracy through severa most top notch cloning schemes. maximum beneficial quantum cloning, which lies at the border of the bodily restrict imposed by way of the no-signaling theorem and the Heisenberg uncertainty principle, has been experimentally found out for low-dimensional photonic states. however, an growth in the dimension-ality of quantum structures is notably beneficial to quantum computation and communication protocols. despite the reality that, no experimental demonstration of most beneficial cloning machines has hitherto been shown for excessive-dimensional quantum systems. We carry out most proper cloning of excessive-dimensional photonic states thru the symmetrization approach. We display the universality of our technique thru carrying out cloning of numerous arbi-trary enter states and really signify our cloning tool with the useful resource of appearing quantum nation tomography on cloned photons. similarly, a cloning assault on a Bennett and Brassard (BB84) quantum key distribution protocol is ex-perimentally showed to expose the robustness of excessive-dimensional states in quantum cryptography.
The Classification of Skateboarding Tricks by Means of the Integration of Transfer Learning Models and K-Nearest Neighbors

The skateboarding scene has reached new heights, especially with its first appearance at the now postponed Tokyo Summer Olympic Games. Therefore, owing to the scale of the sport in such competitive games, advanced innovative assessment approaches have increasingly gained due attention by relevant stakeholders, especially with the interest of a more objective-based evaluation. We employed pre-trained Transfer Learning coupled with a fine-tuned k-Nearest Neighbor (k-NN) classifier to form several pipelines to investigate its efficacy in classifying skateboarding tricks, namely Kickflip, Pop Shove-it, Frontside 180, Ollie and Nollie Front Shove-it. From the five skateboarding tricks, a skateboarder would repeatedly perform it for five successful landed tricks captured by YI action camera. From that, the images would be feature engineered and extracted through five Transfer Learning models, namely VGG-16, VGG-19, DenseNet-121, DenseNet-201 and InceptionV3, then classified by employing the k-Nearest Neighbor (k-NN) classifier. It is demonstrated from the preliminary results, that the VGG-19 and DenseNet-201 pipeline, both attained a classification accuracy (CA) of 97% on the test dataset, followed by the DenseNet-121 and InceptionV3, in which both obtained a test CA of 96%. The least performing pipeline is the VGG-16, where a test CA of 94% is recorded. The result from the current study validated it could providing an objective judgment for judges in classifying skateboard tricks for the competition.
Selective Owner-side Encryption in Digital Data Markets: Strategies for Key Derivation

The combined adoption of selective encryption and smart contracts deployed on blockchains allows data owners to maintain control over their data when traded on digital data market platforms.Selective encryption, combined with key derivation techniques, guarantees that only customers who are entitled to access a resource can read its content.The adoption of smart contracts deployed on a blockchain permits to regulate the interplay among parties, the possible economic incentives to be paid to the owners, and the exchange of the information necessary for resource decryption (i.e., updates to the key derivation structure) upon payment.However, operations on blockchains have a cost.In this paper, we propose two approaches for updating the key derivation structure to enable customers to access resources, while limiting access times to resources and the cost of write operations on the blockchain to enforce purchases.
기초자치단체 문화재단 조직 재설계에 관한 논의

(Purpose) Organizations for business and research in the cultural field have an unstable organizational structure that relies on short-term employment. This study diagnoses the actual structural system of the cultural foundation organization of the basic local government, which has been accelerating its establishment since 2006, and looks at it from the perspective of organizational growth based on the demands of the basic local government''s cultural foundation office and the current operating conditions.(Design/methodology/approach) The scope of content and time was limited to the diagnosis and redesign required for the organizational redesign of the secretariat that has been maintained since the 2018 reorganization of the Wanju Cultural Foundation. For consideration of alternative organizational systems, H. Mintzberg''s organizational growth path model is applied. For the diagnosis of the target organization of the case, the direction of organization redesign was suggested by utilizing the situational suitability evaluation, organizational efficiency evaluation, and job load analysis. Literature review, employee interview survey, benchmarking of similar organizations, and job load analysis by self-writing method were mainly used.(Findings) According to the results of the interview survey applying H. Mintzberg''s organizational growth path model, the tasks of the Cultural Foundation were derived as follows; First of all, it was found that it was necessary to prepare a communication system and coordinate work in the coordination mechanism sector. In the design parameter category, it was found that there is an urgent need to create an environment for job training and nurturing of professional manpower, and it is necessary to delegation of authority to the team leader due to unnecessary destruction and overall review of the evaluation system, and the revision of the Foundation''s delegation regulations. It was found that it was necessary to significantly improve the working conditions of foundation employees due to the improvement of the personnel system. Regarding the situational factors, the Foundation should secure independence and autonomy by enhancing its external status as a specialized organization, secure stable financial resources, and increase manpower has emerged as an urgent task.(Research implications or Originality) The results shown in the various analysis results of this study confirmed that the demand for new work in an unstable and unsystematic state of the actual cultural sector is pouring out. In this context, this study presented clarification of issues according to the demand for new work, rearrangement of different workers, and reorganization of work (draft). In addition, it suggested the division of work according to the organization redesign along with the proposal for the cultural foundation''s manpower supplement. This can be said to be of significance as the first attempt to approach an academic subject in the organization and manpower management of the cultural foundation of a local government.
Semiótica social crítica: brinquedos como artefatos culturais e a construção discursiva da primeira infância

The material qualities and kinetic possibilities and limitations of toys and other objects for small children create a specific cultural microcosm. Within the confines of this environment, as facilitated and mediated by parents or other carers, children explore and develop their cognitive and motor abilities, and become specific kinds of socio-cultural actors, with specific kinds of subjectivities. In this study, we investigate this process with respect to toys which enter the lives of many babies from the very beginning. We examined the way baby toys are given meaning in the verbal and verbal-visual texts in advertisements, and in parenting magazines and books. We try to show how the same toy can be used to articulate different discourses, for instance a discourse of play as carefree 'fun' and a discourse of play as serious 'developmental' work. Our main thesis is that babyhood, is socially and culturally constructed not only in texts and images, but also in other multimodal representations such as toys. And these communicative practices help to reinforce particular constructions of babyhood that should be at least discussed, if notchallenged.Key words: Discourses. Toys. Babyhood. Multimodality. Ideologies.
FII_CROSS at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation

This paper presents a word-in-context disambiguation system.The task focuses on capturing the polysemous nature of words in a multilingual and cross-lingual setting, without considering a strict inventory of word meanings.The system applies Natural Language Processing algorithms on datasets from SemEval 2021 Task 2, being able to identify the meaning of words for the languages Arabic, Chinese, English, French and Russian, without making use of any additional mono-or multilingual resources.
Automated framework for detection of Face mask and Social distancing

COVID-19's global pandemic has had a massive effect on global health, impacting over 139 million people worldwide. Wearing face masks and keeping a 2-meter gap between each other will help to avoid the spread. We propose a computer vision-based pathogen for creating a protected environment that contributes to public safety that focuses on real-time automatic surveillance of people in public places in order to recognize face masks, healthy social distance, and normal body temperature. When any of the above conditions are breached, the device sends out an alert to the authorized person. As a result, the proposed method saves time and slows the spread of the corona virus, all of which are beneficial to society. It may be useful in the current case, where the lockout is being eased to allow people to be inspected in public areas, shopping malls and other locations.
ENT 600 : The X-Beast Dumbbell : new product development / Mohammad Amirul Rashid Jamil

Technology involves year by year with the innovation made by the human that covers nearly every area of human activity in everyday life. Sports and entertainment also get the indirect effect from the evolution of technology. From basic fitness equipment such as dumbbell to the advanced workout machines in the gym, research and development processes are under way to create more efficient product that can fulfil buyer's needs. My firm has invented a new type of dumbbell calling as The X-Beast Dumbbell. This dumbbell is ergonomic so this dumbbell should be used to work out and perform the aerobics. Some problem occurs when I want to invent my product such as suitable material that needs to be use and competition in the market of dumbbells with other brand. There are also some limitations that need to be considering like capital to R&D, shell life of the product, as well as lack of idea for new fixtures. Under new product development, research and development program is done with some idea generation, idea screening, and market survey to produce better product. Sketching of the product is important to project some image about how the product might look like with some verbal description. The prototype will be built according to the sketching of the product. Test marketing has been conducted to gather some feedback from various backgrounds of respondent.
Evolutionary Neural Architecture Search and Applications [Guest Editorial]

This special issue has brought together researchers to report state-of-the-art contributions on the latest research and development, up-to-date issues, challenges, and applications in the field of ENAS. Following a rigorous peer review process, five papers have been accepted for publication in this special issue. The articles included are briefly summarized.
효과적인 무대영상과 디자인 철학에 대한 고찰 - 본인이 참가한 공연들을 중심으로

This paper presents a study of effective stage video designs based on performing arts in which the author participated. I explore the significance of stage video and philosophy as a designer by analyzing the production process through the lens of my recent works. I underwent numerous trial-and-error experiences during these productions, and among them, I present several cases as examples of effective factors in video design. By analyzing these cases, I found that they can be interpreted and documented in common terms. In the main articles, entitled ‘videos that help one to understand plays’, ‘videos using meaningful primary materials’, ‘videos that communicate space-time with stage elements’ and ‘videos that help with stage design and mise-en-scene, I describe the major elements. In other words, the paper discusses how design ‘leads the audience to immerse themselves in the performance’, helping them to ‘take responsibility as an artist’, ‘communicates with stage elements through new attempts’, and ‘overcomes the limitations of expression’. Currently, stage video is becoming an important factor in the development of convergence performance content. The goal of this study is to help the entire stage video industry, as it becomes more active over time, in addition to individual researchers. Hence, I expect this study to provide useful data for those involved in intermedia arts and content creators.
Natural language understanding of map navigation queries in Roman Urdu by joint entity and intent determination

Navigation based task-oriented dialogue systems provide users with a natural way of communicating with maps and navigation software. Natural language understanding (NLU) is the first step for a task-oriented dialogue system. It extracts the important entities (slot tagging) from the user’s utterance and determines the user’s objective (intent determination). Word embeddings are the distributed representations of the input sentence, and encompass the sentence’s semantic and syntactic representations. We created the word embeddings using different methods like FastText, ELMO, BERT and XLNET; and studied their effect on the natural language understanding output. Experiments are performed on the Roman Urdu navigation utterances dataset. The results show that for the intent determination task XLNET based word embeddings outperform other methods; while for the task of slot tagging FastText and XLNET based word embeddings have much better accuracy in comparison to other approaches.
PELATIHAN PEMBUATAN KONTEN PEMBELAJARAN DARING PADA SMK SWASTA GELORA JAYA NUSANTARA MEDAN

The purpose of community service activities is to implement the Tri Dharma of Higher Education and to contribute ideas and transfer technology to teaching staff at SMK Gelora Jaya Nusantara Medan. This service activity was carried out for 2 days. The training materials are Video Recording and Video Editing. The topic given in this training is the creation of online learning content. The material given is the use of Filmora X software. This topic is very much needed to equip teachers in preparing and delivering subject matter during this covid-19 pandemic. This topic was deliberately chosen considering that currently, teachers have difficulty in delivering subject matter face to face.