Indoor positioning system (IPS) has become a high demand research field to be developed and has made considerable progress in recent years. Wi-Fi fingerprinting is the most promising technique that produces an acceptable result. However, despite the large amount of research that has been done using Wi-Fi fingerprinting, only a few Wi-Fi based IPS in…

The purpose of this article was to determine the incidence between learning strategies and academic goals in the competences of the curricular experience of electronics and digital circuits in engineering students of a private university in Lima, Peru. The objective was to explain how learning strategies and academic goals explain the behavior of engineering students…

Data sensitivity analysis using normalization techniques in decision making has an impact on preference values and rankings in the case of social assistance programs for student online. The distribution of assistance is disproportionate and not on target to potential recipients. This study aims to analyze data sensitivity from simple data normalization techniques and linear techniques…

Android Operating system (OS) has been used much more than all other mobile phone’s OS turning android OS to a major point of attack. Android Application installation serves as a major avenue through which attacks can be perpetrated. Permissions must be first granted by the users seeking to install these third-party applications. Some permissions can…

The learning difficulties of Object-Oriented Programming can be one of the causes of failure in college students, which can even lead to student dropout. This article has the purpose of analyzing the main learning difficulties of object-oriented programming using the Java programming language in Systems Engineering students of the Universidad Nacional Tecnológica de Lima Sur…

This work presents the analysis and formulation for optimizing the dynamic model and parameter estimation of all the six joints of a 6DOF industrial robot manipulator by utilizing swarm intelligence to optimize two excitation trajectories for the first three links at the arm and the last three links at the wrist of the robot manipulator.…

Nowadays, robots are an important learning tool in education and are increasingly used inside and outside the classroom to foster the development of students’ knowledge, skills, and attitudes connecting to a real-world situation. In past years, using robots in STEM (science, technology, engineering, and mathematics) education has been proposed as one of the strategies to…

In 1980, an application was developed to track, manage and store documents in electronic format. Scan technology has enabled organizations to digitize papers for easier document storage and tracking. Document management tools have since developed by introducing new functionalities, related to security, users services, workflow and audit. Our research is part of the context of…

One of the open domain challenges for Spoken Dialogue System (SDS) is to maintain a natural conversation for rarely visited domain i.e. domain with fewer data. Spoken Language Understanding (SLU) is a component of SDS that converts user utterance into a semantic form that a computer can understand. If we scale SDS open domain challenge…

Teaching tax-related regulations have always been a challenge due to the inclusion of external variables that hinder the learning process, such as the high complexity of tax systems and legislation variability. Universities have sought different alternatives to support the teaching process both outside and inside the classroom, ranging from recreational activities to active learning. This…

This paper is an extension of work originally presented in PM2.5 Prediction-based Weather Forecast Information and Missingness Challenges: A Case Study Industrial and Metropolis Areas, which focused on imputation algorithm to solve missingness challenge and demonstrated a basic prediction system to prove the proposed algorithm, II-MPA. Distributed and decentralized systems, recently, have been proven for…

Learning styles studies have been discussed widely in academic field. It can be considered as a factor that contributes to the achievement of the students in their learning because everyone has a unique learning style when learning. In this paper, we aimed to examine the association of learning styles and attitude towards academic achievement. By…

Finger skills are achieved through the training process. This training process will be more straightforward if a training system is used. A novel finger motoric training system is introduced in this paper. This system is to facilitate a beginner piano player to learn the basic piano skill. The system is comprised of a tracking finger…

The ability to think and the social abilities of junior high school students is a potential ability developed through learning based on the optimization of differences in learning abilities. For this reason, appropriate learning design and implementation model is needed in realizing this, especially in one of the social group subjects. This study uses research…

In this paper we propose the application of supervised learning techniques to recognize stress situations in drivers by analyzing their Skin Potential Response (SPR) and the Electrocardiogram (ECG). A sensing device is used to acquire the SPR from both hands of the drivers, and the ECG from their chest. We also consider a motion artifact…

Lately, the use of mobile learning has increased in higher education at a global level. Especially after the new Coronavirus (Covid-19). Therefore, trust issues towards the benefits of mobile learning are still important matters just as important as quality dimensions (e.g. service quality, information quality and system quality) for both technology and its content. These…

Due to pandemic spreads of COVID-19 and increasing populations of se- niors, exercises or performance practices at home have become important to maintain healthy lives around the world. World Health Organization (WHO) has announced the physical health determines the Quality of Life (QoL) of a human. Unfortunately, a lot of people have no exercise and…

This study conducted experiments to investigate the effects of resting actions of e-learners during break times on keeping and improving the concentrations of learners in e-learning. Two smart toys (a dog-type robot “aibo” and a toy drone) were used for the resting actions. Two types of experiments were conducted to examine the effects: one is…

This article discusses the problem of handwriting recognition in Kazakh and Russian languages. This area is poorly studied since in the literature there are almost no works in this direction. We have tried to describe various approaches and achievements of recent years in the development of handwritten recognition models in relation to Cyrillic graphics. The…

This study aims to review English as a foreign language learning students’ perception of blended learning on various aspects of learning process. The study seeks to answer the question as to whether there is any correlation among students derived independent variable and their perception with respect to the merits and demerits of online blended learning.…

In the last decade, deep learning(DL) has witnessed excellent performances on a variety of problems, including speech recognition, object recognition, detection, and natural language processing (NLP) among many others. Of these applications, one common challenge is to obtain ideal parameters during the training of the deep neural networks (DNN). These typical parameters are obtained by…

Machine learning has been dramatically advanced over several decades, from theory context to a general business and technology implementation. Especially in healthcare research, it is obvious to perceive the scrutinizing implementation of machine learning to warranty the rewarded benefits in early disease detection and service recommendation. Many practitioners and researchers have eventually recognized no absolute…

Application in the field of medical development has always been one of the most important research areas. One of these medical applications is the early prediction system for heart diseases especially; coronary artery disease (CAD) also called atherosclerosis. The need for a medical diagnosis support system is to detect atherosclerosis at the earlier stages to…

With recent advancements in medical filed, the quantity of healthcare care data is increasing at a faster rate. Medical data classification is considered as a major research topic and numerous research works have been already existed in the literature. Presently, deep learning (DL) models offers an efficient method for developing a dedicated model to determine…

Practically level of design element (i.e., explore, sharing, connect) is an essential of heutagogical approach. The self-determined learning process can be at ease with the implementation of these elements, and the critical step is reliability to measure teaching and learning feedback. Although various instruments were proposed in the literature to assess heutagogy elements, the specific…