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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…

Traffic congestion is being experienced daily by many travellers both on the inner-city roads as well as on the highways. The toll plaza can become a real highway bottleneck, as vehicles must stop and manually pay the tolls at the toll booths. This stop-and-go process can seriously affect traffic fluidity, resulting in a lower quality…

Cyberattacks such as spear phishing and malspam pretending to be companies, institutes, and government officials are increasing and evolving. Malware has a variety of purposes, such as collecting personal information and illegal access to the system. New types of malware are increasing every day, and many malware programs spread all over the Internet, causing severe…

It is well documented that the average length of the queries submitted to Web search engines is rather short, which negatively impacts the engines’ performance, as measured by the precision metric. It is also well known that ambiguous keywords in a query make it hard to identify what exactly search engine users are looking for.…

Academic certifications are achievements desired by people, because they have a direct impact, positively, on their social lives. Such an important document, still widely issued in paper format, may be subject to forgery or impossibility of verification due to the unavailability of the issuing entity. This work consists of identifying, analyzing and testing some of…

In today’s modern world, reliable automatic personal recognition is a crucial area of discussion, primarily because of the increased security risks. A large number of systems first require the recognition of a person before they can access their services. Biometric recognition can be used, which can be understood as automatic identification or automatic verification of…

The income generated from the tourism sector exhibits the main driving force for national revenues in Indonesian. Based on data from the Ministry of Tourism in Indonesia, it turns out that the potential tourist category originated from the cluster of college students or school-aged cohort. In this line, social media signifies a similar age of…

Dithering or error diffusion is a technique used to obtain a binary image, suitable for printing, from a grayscale one. At each step, the algorithm computes an allowed value of a pixel from a grayscale one, applying a threshold and, therefore, causing a conversion error. To obtain the optical illusion of a continuous tone, the…

This paper presents an adaptive step-size and variable leaky least mean square algorithm based on nonlinear adaptive filter with the adaptive lookup table using spline interpolation. An adaptive step-size approach is proposed with the energy of squared previous and present errors to boost up the convergence rate. A modified variable leaky mechanism is proposed with…

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…

Technologies are growing with the passage of time and providing solutions for the existing problems. One of such problems is to manage the crowd according to available capacity. Especially when the crowd density is dynamic because of dynamic position of the persons (Pilgrims). Not only dynamic position of the pilgrims makes crowd capacity dynamic but…

Text classification is considered one of the most fundamental and essential problems that deal with automatically classifying textual resources into pre-defined categories. Numerous algorithms, datasets, and evaluation measurements have been proposed to address the task. Within the era of information redundancy, it is challenging and time-consuming to engineering a sizable amount of data in multi-languages…

Mobile wallet is an application that allows users to make online payments using their mobile phones. In the context of an outbreak of COVID-19 epidemic in Vietnam and the world, mobile wallets are considered having many opportunities to change people’s cash spending habits. The current study assesses the factors impact on the intention to use…

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…

The fast-paced development of smart technologies and the prevalence of vehicles, created an urgent demands to study and improve safety issues related to driving. In order to reduce traffic accidents, driving behavior was found to be very important issues to study and investigate. Recently, the advent and widespread of smartphone platforms with advanced computing competence…

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…

Project completion is a common and best practice for oil and gas and construction industry. It provides a comprehensive completion approach and gives total confidence to asset owner to operate the facility handed over by construction contractors. While the nature variation of asset hierarchy is unique from one type of asset to another, a project…

Knowledge-based approach is wield used in various NLP applications. For example, to evaluate the semantic similarity between words, the semantic evidence in lexical ontologies (wordnets) is commonly used. The success of the English WordNet (EnWN) in this domain has inspired the creation of several wordnets in different languages, including the Arabic WordNet (ArWN). The English…

Several challenges like changes in brightness, dynamic background, occlusion and inconsistency of camera position make the recognition of hand gestures difficult in any vision-based method. Diversity in finger shape, size, distribution and motion dynamics is also a big constraint. This leads to the motivation in developing a dense Scale Invariant Feature Transform (SIFT) flow based…

Due to high failure rates many students end up spending unnecessary years struggling to qualify and subsequently accumulate unnecessary debt. In this paper, our principal contribution is to provide an expert system that statistically predicts the success of a first year student in an undergraduate Science programme given only academic merit in their subject matter.…

This paper highlights the importance of on-campus online job recruitment system and its role in helping students grab the available job opportunities. It highlights the problems associated with the traditional way of hiring, especially for college students. It also presents some findings and results obtained through various surveys conducted within the campus before and after…

This work presents an innovative solution for parking-sharing of private institutions based on daily occupancy patterns and using different real time tracking methods of vacant parking slots. The research objective consists in finding the most accurate cars detection method, for determining of vacant parking slots and updating them on application web page. Beside the technical…

This paper presents a comparative study for using the classic networks in remote sensing images classification. There are four deep convolution models that used in this comparative study; the DenseNet 196, the NASNet Mobile, the VGG 16, and the ResNet 50 models. These learning convolution models are based on the use of the ImageNet pre-trained…

This study primarily aims to identify the factors that helped emo kids in 2010 move through the emo-identity discrimination and be able to obtain a certain level of achievement. Facebook is the social network that allows users to track friends’ posts back over 10 years. Content analysis was conducted by using two coders to rate…