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Keyword: AppEmotion Recognition on FER-2013 Face Images Using Fine-Tuned VGG-16
Facial emotion recognition is one among many popular and challenging tasks in the field of computer vision. Numerous researches have been conducted on this task and each proposed either standalone- or ensemble-based processing technique. While many researches strive for better accuracy, this research also attempts to increase the processing efficiency of computer correctly classifying human…
Read MoreDense Deep Neural Network Architecture for Keystroke Dynamics Authentication in Mobile Phone
The ever-growing technology in mobile smartphones has enabled users to store sensitive and private information; as a result, it required the need for an improved security system. Previous approaches heavily relied on shallow machine learning algorithms that require feature extraction which is time consuming, laborious and can cause, resulting in poor authentication. In this paper,…
Read MoreComplex Order PI\(^{\alpha + j\beta} \)D\(^{\gamma+j\theta}\) Design for Surface Roughness Control in Machining CNT Al-Mg Hybrid Composites
Accurate machining control is indispensable for the smart factories of tomorrow. Variations in controller responses may cause unacceptable process deviations during machining leading to productivity losses and possible damage. In the present work, a complex order PIα+jβDγ+jθ(COPID) controller was designed to effectively control surface roughness generation while machining CNT Al-Mg hybrid composites. Performance of the…
Read MoreThe Role of Promotion in Mobile Wallet Adoption – A Research in Vietnam
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…
Read MoreOvermind: A Collaborative Decentralized Machine Learning Framework
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…
Read MoreHybridization of Improved Binary Bat Algorithm for Optimizing Targeted Offers Problem in Direct Marketing Campaigns
One of the biggest business problems of marketers, is to optimize the return on investments of direct Marketing campaign. This main purpose which can only be ensured by targeting the appropriate customer. The main challenge faced by companies when advertising, is to configure properly a campaign, by choosing the right target, so A high user…
Read MoreVehicle Rollover Detection in Tripped and Untripped Rollovers using Recurrent Neural Networks
Comparing to other types of vehicle accidents, fatality rate of tipped rollover accidents shows significant number. Thus, tripped rollover prevention systems are important in order to keep driver safe. In other hands, different rollover indices are defined to handle the risk. The variable unknown parameters of each index, for instance, current load of the vehicle…
Read MoreMulti-Directional Light Sensing Using A Rotating Sensor
The performance of indoor illumination control in many applications, such as in an intelligent building, relies on the quality of the light sensors. In many cases, the light level is not uniform and depends on the direction of the illumination source. It usually requires multiple sensors set up in different directions to gather the overall…
Read MoreThe Effect of E-Service Quality on Customer Satisfaction and Loyalty (Case Study at E-Marketplace XYZ in Indonesia)
Online transactions make it easy for people to get products or sell the products through online applications. The success and failure of online sales depends on how satisfied and loyal the customer is to the service of the product or business which can certainly influence and increase competition between the online sales industry. Based on…
Read MoreResearch of the Effect of Rotation and Low-Frequency Vibration on the Robotic Assembly Process
The prospects for the introduction of assembly automation in the industry are largely determined by the reliability of the assembly process. One of the reasons for reducing its reliability is parts jamming. In order to increase the technological reliability of the assembly process, various physical and technical effects are applied. The article presents the results…
Read MoreInferring Topics within Social Networking Big Data, Towards an Alternative for Socio-Political Measurement
This research sought to measure some socio-political indicators using millions of opinionated messages from social network sourced big data. Thus, and using an enhanced mixed method for sentiment analysis and a fusion model algorithm to infer topics from short text, this study attempted to demonstrate the value of computational approaches in measuring some phenomena in…
Read MoreAviation MRO: Impact of Physical Environment Factors on Job Performance in Aircraft Maintenance Organization
A happy employee with high morale is the best asset of an organization. The morale of an individual working in an organization can be impacted by both positive and negative ways by physical environment factors of the workplace. The physical environment of an organization impacts a lot on the work performance of an individual. It…
Read MoreExperimental Investigation of RC Footings Resting on Sand Strengthened with Concrete Jacketing
An experimental study regarding structural strengthening of existing reinforced concrete footing was conducted on six full scale reinforced concrete footings, strengthened with concrete jacketing under concentric and eccentric loads. The footings had constant dimensions and flexural steel reinforcement which was designed to prevent brittle failure due to crushing of concrete before steel yielding. Concrete jacketing…
Read MoreThe Impact Assessment of the Errors in Determining the Mass and Zero Lift-Drag Coefficient on the Aircraft’s Performance Data
The adoption of technical decisions in the development of a new aircraft is carried out under the condition of insufficient information on the mass – dimensional and aerodynamic characteristics that will be achieved during the project. Insufficient information on the input parameters (weight and aerodynamic characteristics) leads to uncertainties in the values of the flying…
Read MoreUnderstanding the usage, Modifications, Limitations and Criticisms of Technology Acceptance Model (TAM)
Technology Acceptance Model (TAM) is broadly accepted and has proved applicable in identifying consumers’ willingness to utilize information and communication technology (ICT). The theory proposes that Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) are actually determining factors of individual attitudes, while attitude is a determining factor of Behavioural Intention (BI) and Behavioural Intention…
Read MoreTechnology Adoption in Education: A Systematic Literature Review
Technology is advancing faster today than ever before with evidence of its impact in all facets of our lives. With the spread of the novel COVID-19 pandemic across the world, schools were closed as part of lockdown measures to contain the virus thereby disrupting academic curricula. Academic institutions leveraged ICTs to virtually engage students and…
Read MoreAutomated Extraction of Heavyweight and Lightweight Models of Urban Features from LiDAR Point Clouds by Specialized Web-Software
3D city modeling may be considered as one of the key applications, that are provided by the Automated Feature Extraction (AFE) techniques from LiDAR data. The authors attempt to prove that with growing availability of LiDAR surveying methods the resulted 3D city models become the most significant modeled features for any urban environment. Our paper…
Read MoreDevelopment of Group-Based Differentiated Learning (GBDL) Models
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…
Read MoreBusiness Intelligence for Generating Comprehensive Report in Electronic Completion and Handover
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…
Read MoreEffective Segmented Face Recognition (SFR) for IoT
Face recognition technology becoming pervasive in the fields of computer vision, image processing, and pattern recognition. However, face recognition accuracy rates will decrease if training is done on disguised images with covered objects on a face area. This paper aims to propose a state-of-the-art face recognition methodology which could be applied in Internet of Things…
Read MoreSupervised Learning Techniques for Stress Detection in Car Drivers
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…
Read MoreA Study on Intelligent Dialogue Agent for Older Adults’ Preventive Care – Towards Development of a Comprehensive Preventive Care System
Preventive care approaches have attracted much attention in Japan, which is one of the world’s most super-aged societies. These approaches aim to decrease the number of people who require nursing care or other human support. Our research group has developed several kinds of preventive care systems, including a fall prevention system, a cognitive training system,…
Read MoreEvaluating the Impact of Semantic Gaps on Estimating the Similarity using Arabic Wordnet
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…
Read MoreC-Band FMCW Radar Design and Implementation for Breathing Rate Estimation
In this paper, a portable Frequency Modulated Continuous Wave (FMCW) radar system was designed and implemented for human movements and breathing detection. The radar operates with a frequency band ranges from 4.7 to 4.9GHz. The radar sub-systems were designed and simulated using up to date computer-aided-design tools before implementation. The Voltage Controlled Oscillators (VCO), high…
Read MoreAn Empirical Study on Factors Influencing the Intention to use Mobile Learning
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…
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