Reviewerly/exHarmony huggingface dataset:
A Novel Validation Framework to Assess Segmentation Accuracy of Inertial Sensor Data for Rehabilitation Exercises

Digital biofeedback systems (DBS) which use inertial measurement units (IMUs) can support patients during home rehabilitation. Models which accurately segment IMU data for rehabilitation exercises are required to provide biofeedback but assessing accuracy in a clinical context is challenging due to technical and patient-related factors. In this paper, we propose a three-stage validation framework to overcome these challenges. We present the results of stage one and two segmentation accuracy assessment for our DBS for shoulder rehabilitation. The results demonstrate that most of the chosen exercises can be segmented to a high level of accuracy in an unseen, uninstructed dataset. Errors in segmenting and recommendations for improvement are presented, which must be addressed prior to the final stage of validation.
Simple Pose Network with Skip-Connections for Single Human Pose Estimation

Recently, following the success of deep convolutional neural networks, human pose estimation problem has been largely improved. This paper introduces an improved version of the Simple Pose network for single human pose estimation. It adds the skip-connections between the same-resolution layers of the backbone and up-sampling stream to fuse low-level and high-level features. To make the depth of features from low-level and high-level are same, this paper uses $$1\,\times \,1$$ convolutional layer. The experiments show that this naive technique makes the new networks better over 1% mAP scores with just a small increment in model size.
The General-Purpose Modeling, Analysis, and Implementation of Software Architectures

In this paper, a new software modeling language called SAMP is proposed, which is inspired from UML and enables the general-purpose modeling of software architectures but at the same time promotes the multiple-viewpoints modeling, formal verification of the models for the desired requirements, and combination of model and code together. SAMP supports the high-level modeling of software architectures from the requirements, logical, behaviour, and deployment perspectives and supports checking the consistencies between the software models in different perspectives. SAMP is also supported with a modeling toolset that allows for the visual modeling of software architectures in those perspectives. The toolset further generates formal ProMeLa models that can be accepted by the SPIN model checker for the exhaustive verification of the software behaviours against the user-defined properties and some pre-defined properties (e.g., deadlock, race-condition, wrong and incomplete pre-conditions). Moreover, the toolset can also generate the Java Modeling Language (JML) code that combines the contractual models with the Java program for ensuring the consistency between model and code throughout the software development.
Reflections on Course Blogs in First-Year CS

Software engineers, and more broadly computer scientists, must be able to communicate clearly to exchange ideas with team members and stakeholders, making writing an essential part of computer science education. The Writing Across the Curriculum initiative endeavours to engage students in writing and creating a community that supports writing and its teaching in every discipline. As part of this initiative, computer science (CS) instructors at a large public university added a weekly blogging assignment to their CSII course with four aims: (1) improve student learning of writing and CS concepts; (2) understand local variations among language speakers; (3) provide writing feedback at scale; and (4) combine writing-to-learn with disciplinary writing. In this paper, we present the design rationale for the blog assignment, as well as the results of an empirical study of how the assignment is perceived by students and teaching assistants. Using both quantitative and qualitative analysis, we tease apart the mixed perceptions of the students and the outcomes of our assignment aims. We discuss problems as well as potential opportunities for improving the assignment, and explore recommendations for those interested in teaching writing.
The Mapping Model is in the form of Clustering of Workers' Hourly Wages by Region in Indonesia using the K-Means Method

Wages are a very important element in manpower activities because the main purpose of working people is to get wages or salaries which will be used to meet daily needs. The hourly wage system for workers in the Province affects the wages received by workers. The research objective is to create a cluster model of the hourly wages of workers in Indonesia by region. The data used in the mapping is data on workers' hourly wages for 2017-2018, which are managed by the Central Statistics Agency (abbreviated as BPS). The technique used is clustering with the k-means method, which is part of data mining. This process uses two cluster labels, namely the high wage cluster (C1) and the low wage cluster (C2), with a maximum Davies Bouldin value of 0.490. The research results were obtained from 34 regions in Indonesia, twenty-seven provinces were in the low category cluster (C2), and seven provinces were in the high category (C1). This can be used as input for the provincial government to make policies on hourly wages in Indonesia that have an impact on the welfare of the community.
Teacher, trainee, and student based knowledge distillation technique for monitoring indoor activities

Recent years have witnessed unprecedented growth in sensors-based indoor activity recognition. Further, a significant improvement in recognition performance of indoor activities is observed by incorporating Deep Neural Network (DNN) model. In this paper, we propose knowledge distillation based economic and efficient indoor activity recognition approach for low-cost resource constraint devices. Here, we adopt knowledge from teacher and trainee (cumbersome DNN models) for training student (compressed DNN model). Initially, student and trainee both are beginner and trainee helps the student in learning from the teacher. The student, after certain steps, is mature enough for directly learning from the teacher. We introduce an early halting mechanism for simultaneously reducing floating-point operations and training time of the student model.
Sistem Informasi Manajemen Aset pada Amik Akmi Baturaja

Management of assets in a company is very important thing to do. Management of goods assets in AMIK Baturaja has been carried out with Microsoft Excel applications in the format of inventory items. In this application has limitations such as manual entry, there is no history of data changes made or log data, no notifications, difficult to use simultaneously, data accuracy is doubtful, data matching or recording takes a long time, and is not user-friendly . This study aims to analyze and design the system of management of all assets in AKMI Baturaja. Through analysis and design of this system the author intends to provide suggestions for institutions to implement the Asset Information System. This information system has been successfully designed and provides asset information management functionality which includes asset registration, asset placement, asset transfer, maintenance records, asset deletion, asset tracking, and report generation. Designing of a web-based asset information system is done by using an object-oriented approach.
Blockchain of Fruits and Vegetables is Empowering Consumer with New Shopping Experience

The much awaited technology is now making the changes the way retailer used to manage the food produce in terms of tracking the quality at different stages of handling and traceability in all the products. Similarly the consumer can also experience the change by knowing the authentic information which will in turn builds consumer confidence. Hence the blockchain technology leads to more safe and digital data exchange help both retailer and consumer by promoting healthy fruits and vegetables which are chemical free and safe.
An Observational Study on the Maintainability Characteristics of the Procedural and Object-Oriented Programming Paradigms

This paper presents an observational study that takes an initial step towards answering the question of how the selection of a programming paradigm affects the maintainability of a software system. Answers to this question are important because they can provide insight on how the maintainability characteristics of different programming paradigms could be leveraged to improve software-engineering education. The observational study compares developers' effectiveness and speed performing pre-determined maintenance tasks on two equivalent variations of a web-based application: one based on Procedural Programming and one based on Object-Oriented Programming. Presented within this paper are the study's design, metrics measuring maintenance effectiveness and speed, and a statistical analysis of the results, which provides evidence that the maintainability characteristics of the two paradigms are different within the context of this research. In addition, as an observational study, some of its important contributions are lessons learned about the experiment design process and ideas for new hypotheses. These are presented in preparation for a future, broader research, and larger-scale experiment. Finally, we discuss some forward-thinking ideas about how differences in the maintenance characteristics of programming paradigms may influence on software-engineering education.
RETRACTED: A SIFT-FREAK Based Framework for Coastline Image Stitching

Abstract The quality of the images collected by the coastal zone video surveillance equipment is seriously degraded due to the sea fog, which directly affects the analysis of the image. Therefore, the study of the costal image dehazing method is of great significance to the related research of the coastal zone. Costal image has the characteristics of large sky area and monotonous color. The traditional method based on atmospheric scattering physics model is not suitable for this kind of image for block effect and color distortion. In this paper, we introduce the generative adversarial mechanism into sea fog image defogging, and propose a coastal image dehazing network based on it. The proposed model includes a generative network and a discriminative model, and is trained by adversarial mechanism. The generative model is composed of multi-scale feature extraction module and residual connection module. The discriminative network consists of two sub-networks of receptive field of different sizes.
Acceptance Of Video Conference Technology As A Distance Learning Media With The Tam Method

The covid19 pandemic has resulted in teaching and learning activities to be carried out online using video conferencing. This study aims to determine the acceptance of video conferencing technology in the teaching and learning process. The research method uses TAM (Technology Acceptance Model). TAM is a model used to measure the extent to which the level of user acceptance of technology, especially information technology. The results showed that the online learning system using video conferencing could be accepted by students as a solution for distance learning.
Detect the mechanical structure of the vehicle with neural network

With the rise of consumers' awareness of driving safety and the popularity of automated vehicles, people pay highly attention to vehicle data. Vehicle data is mainly divided into the following two types: “vehicle internal information” (engine, electrical equips, transmission components), “the communication between the vehicle and the external environment” (vehicle driving safety, driving experience). These type of data can be collected through the vehicle's on-board diagnostics (OBD) system. The data set will be used for analysis. The vehicle's driving profile in different states provides a series of vehicle safety services.
The Challenge of Diacritics in Yoruba Embeddings

The major contributions of this work include the empirical establishment of a better performance for Yoruba embeddings from undiacritized (normalized) dataset and provision of new analogy sets for ...
Discretization Method to Generalize Features for Authors’ Recognition

Features reconstruction or representation to improve the performance accuracy rate is a crucial procedure for handwriting image analysis in the area of authors' recognition.The process of feature extraction usually led to features redundancy with high similarity between features or classes.This will cause the problem of lower performance from classifier models that will have difficulties to differentiate the authors.This study proposes to reconstruct the formulation of discretization method of Equal Width Binning (EWB) to simplify the process.Discretization method is proposed to represent the features and infused the generalization factor into features that are being generated.This is aimed to improve the performance accuracy for authors' recognition.This study deploys the Higher-Order United Moment Invariant (HUMI) and Edge based Directional (ED) feature extraction method to generate Global and Local features respectively from the handwriting images.These generated features were reconstructed by discretization method by representing them with each unique general features.The proposed discretization method has succeeded to improve the average performance of Global Discretized Features that performs at 99.81% and Local Discretized Features achieved up until 99.89%.This shows that the discretization method has managed to improve the features' performance in determining the authors' characteristic.
An application of Answer Set Programming in Distributed Architectures: ASP Microservices.

We propose an approach to the definition of microservices with an Answer Set Programming (ASP) `core', where microservices are a successful abstraction for designing distributed applications as suites of independently deployable interacting components. Such ASP-based components might be employed in distributed architectures related to Cloud Computing or to the Internet of Things (IoT).
80 A Brief Overview, Comparison and Practical Applications of Machine Learning Models

Abstract This is a hands-on workshop offered as a pre-conference training opportunity for researchers interested in applying machine learning techniques to animal science datasets with the purpose of classifying, clustering, performing linear and non-linear regressions or selecting a subset of features relevant to further studies. The objective of this workshop is to provide the audience with a way to formulate a problem such that it will be solvable by machine learning techniques and apply an exploratory analysis of various machine learning algorithms on different datasets. The workshop is structured in a hands-on format and includes a brief overview of basic notions about machine learning, a description of relevant models and evaluation metrics followed by a practical session. The practical session requires each attendee to bring their own laptop and have already installed the Waikato Environment for Knowledge Analysis (Weka) workbench for machine learning available from https://www.cs.waikato.ac.nz/ml/weka/ and all freely available machine learning models. The Weka installation of freely available machine learning models can be achieved by using the Weka Package Manager available from the Tools menu in the main application. Detailed information will be provided before the beginning of the workshop at the following URL: http://animalbiosciences.uoguelph.ca/~dtulpan/conferences/asas2021_mlworkshop/
Improving Reading Comprehension Ability of the Eleventh Grade Students of MAN 5 Jombang through Jigsaw Technique

This study was conducted to improve the student’s reading comprehension ability on narrative text through Jigsaw technique. The study was classroom action research; the subject was students from eleventh grade of IPS 3 (Social Science). It was chosen because this class got the lowest result of daily test on reading skill, which was used as preliminary study. The average score on preliminary test was 61.2 and only 40% students got passed the standard minimum of achievement (KKM). The minimal completeness criterion was 75. The cycle was held to increase the students’ achievement. First, the teacher made the colorful paragraph of text to make the students more interested in the reading comprehension ability. The second, the teacher motivated the students to be more active in discussion then asking them not was shy or afraid to ask question or give opinion. The teacher also motivated to the group leader to be able to control the optimal group discussion. The third, the teacher also arranged the balance of slow leaner and high leaner composition in each group. It was hope the high learner could help the slow learner. And at the end of cycle was evaluated. The result of posttest in cycle 2 was: the average score of the students test were increased from 72.2 in cycle I became 80.4 in posttest cycle II. The students who gained the standard minimum of achievement increased from 65% in cycle I became 80% in posttest cycle II. It showed that the low achievement had improved.
ВИКОРИСТАННЯ ПРОБЛЕМНО/ПРОЄКТНО ОРІЄНТОВАНИХ ТЕХНОЛОГІЙ НАВЧАННЯ ДЛЯ СТУДЕНТІВ ТЕХНІЧНИХ ТА ІТ-СПЕЦІАЛЬНОСТЕЙ НА ПРИКЛАДІ КУРСУ «СИСТЕМИ КЕРУВАННЯ ВМІСТОМ ВЕБ-САЙТІВ»

The article examines the experience of successful implementation and peculiarities of using problem / project training technologies for students of technical and IT specialties within the course “Website Content Management”. In the course of the course, the project is implemented – a fullfledged functional web site, which helps to master the educational material of the discipline, the formation of general and subject (professional) competences, obtaining the planned program results of training provided by educational programs of specialties, as well as the acquisition of practical skills, support and development of a viable project that is already a professional achievement.Website Content Management Systems course was created using modern technologies of organization of educational activity with wide use of information and communication technologies and an opportunity to determine not only students' educational achievements, but also to show and develop their own creativity and individuality during the project implementation. The course is available on-line, selected free-of-charge educational materials, requirements for the completed project of the web site are developed, the download of the link and presentation of the finished site for evaluation are provided.In order to determine the viability of the project, evaluation criteria have been proposed that are included in the collaborative project evaluation system by faculty and students, and tools have been created to organize and process the evaluation results using Google services. During the course study, it is determined that the formation of general, subject (professional) competences and the provision of software results of training to the types of work on the project.The results of using problem-based / project-based learning technologies as an example of the Web site content management course encourage the development of cross-curricular links and implement interdisciplinary projects, as well as actively implement problem / project-based learning methods in most curriculum disciplines and technical students -specialties.
Digital Signatures Using Hardware Security Modules for Electronic Bills in Vietnam: Open Problems and Research Directions

The usage of electronic bills in Vietnam become more popular in recent years. As required by law, the e-bills need to be signed digitally. Deploying the digital signature services in practice raised new issues in security and usability. In this paper we describe some open practical problems in deploying digital signature service in Vietnam. We discuss the research directions that address the issues. We draw the research plan to resolve the problems in the industry.
Sistem Informasi Penjualan Tiket Pesawat Pada PT. Pesona Sumatera Holidays Menggunakan Metode Prototype

PT. Pesona Sumatera Holidays is a company that provides transportation services and flight ticket sales services for all airlines. In making flight ticket sales reports at the company still using the manual method, this causes a buildup of paper, so it is very difficult to find the required documents. For this reason, the writer provides a solution by designing and building a flight ticket sales information system at PT. Pesona Sumatera Holidays, where all customer data will be inputted and stored in a computerized manner so that it can help the process of making financial reports more effectively and efficiently as expected by its users. The design of this flight ticket sales information system uses a prototype method with visual studio 2015 program language equipped with SQL Server 2008 database. The flight ticket sales information system is expected to simplify the process of making flight ticket sales reports at PT. Enchantment of Sumatra Holidays.
Developing English Critical Reading Comprehension Ability Using SIOP and Inquiry Learning Approach for Secondary Students

The objectives of this study were 1) to develop English critical reading comprehension ability using the SIOP and the inquiry learning approach for secondary students and 2) to investigate attitudes toward the approach after using SIOP and inquiry learning approach.The participants were 35 students from secondary school, selected using random cluster sampling.The instruments employed in the study were the lesson plans, English critical reading comprehension ability tests, and attitude questionnaires for exploring the students' attitudes toward learning provision using SIOP and the inquiry learning approach.The data analysis was interpreted from both qualitative and quantitative sources.The findings of this research were firstly that the testing scores after using the approach were statistically higher than before using at the .05level.Secondly the overall result of the students' attitudes toward learning provision using SIOP and inquiry learning approach was at the agree level.
The relation between financial industry agglomeration and industrial economic growth in Hubei province based on big data analysis

Finance is the core of modern economy. With the improvement of the position of financial industry in the national economy, financial resources are organically combined in different spaces and reach a certain scale, which forms different levels of financial agglomeration. There is a close and complex relationship between financial agglomeration and industrial economic growth. Financial agglomeration is often reflected in the form of financial centers. The construction of financial center should be the connotation and extension of promoting industrial economic development. With the unbalanced distribution of financial resources, the economic development of eastern, central and western regions is quite different, which leads to regional financial centers. Therefore, by studying the impact of financial agglomeration on industrial economic growth, we will promote the development of industrial economy, which will avoid the waste of resources caused by the similar functions and functions of financial centers. Firstly, this paper analyses the current situation of financial industry agglomeration in Hubei Province. Then, this paper analyses the related concepts. Finally, this paper analyses the relationship between them and puts forward some suggestions.