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Keyword: DisplayComparison of Gaze Points Among Viewing Conditions (Resolution, Display Size, Viewer Position) During Video Viewing
Ultra-high resolution broadcasting such as 4K and 8K are becoming more popular for at-home use. The position of the viewer’s mean gaze point when they are looking at a larger display depends on the video clip, viewing position, and viewing distance. The International Telecommunication Union provided the document BT-2022; as the standard viewing conditions for…
Read MoreDevelopment of Tactile Display and an Efficient Approach to Enhance Perceptual Analysis in Rehabilitation
Tactile displays are widely used in the rehabilitation and education of blind persons, as it is one of the media of communication amongst them. Tactile display performance is measured in terms of accuracy in presenting pattern, accuracy in identification, recognition and reading time of presented pattern. However, it has had meager attention from researchers. This…
Read MoreA Wi-Fi based Architecture of a Smart Home Controlled by Smartphone and Wall Display IoT Device
In this age of smart devices, many people are carrying a smartphone with them all the time. When they are at home, most of them are connected with the home Wi-Fi network. In this paper, a Wi-Fi network based architecture is proposed to control home appliances using a smartphone and also with a touchscreen-based wall…
Read MoreHybrid Optical Scanning Holography for Automatic Three-Dimensional Reconstruction of Brain Tumors from MRI using Active Contours
This paper presents a method for automatic 3D segmentation of brain tumors in MRI using optical scanning holography. Automatic segmentation of tumors from 2D slices (coronal, sagittal and axial) enables efficient 3D reconstruction of the region of interest, eliminating the human errors of manual methods. The method uses enhanced optical scanning holography with a cylindrical…
Read MoreA Secure Medical History Card Powered by Blockchain Technology
A reliable healthcare system ensures that the population has access to top-notch medical ser- vices, ultimately enhancing their overall health most efficiently. At times, data are not secured or handled appropriately. Addressing these concerns, blockchain technology is projected to bring about a substantial revolution in the medical industry by assuring the confidentiality of electronic health…
Read MoreIoT System and Deep Learning Model to Predict Cardiovascular Disease Based on ECG Signal
In this work, our contribution will intervene to reduce the impact of noises on the ECG signals. Various ECG denoising approaches were tested to see how efficient they were in removing dominant noises that add to pure ECG signals. Due to different causes such as interference, muscular noise, body movement related to breathing, and so…
Read MoreAugmented Reality Based Visual Programming of Robot Training for Educational Demonstration Site
The human resource development of robotics and automation in the smart factory is an important factor in “Thailand 4.0” roadmap, which is following the industry 4.0 model. To pursue this goal of Thailand 4.0 roadmap of labor development, the effective and intuitive training system must be easy to understand. This study proposes the implementation of…
Read MorePhotoluminescence Properties of Eu(III) Complexes with Two Different Phosphine Oxide Structures and Their Potential uses in Micro-LEDs, Security, and Sensing Devices: A Review
In the field of micro-LED displays, there is strong demand for red phosphors with high photoluminescence intensity, high color purity, and small particle size. Here, we focus on Eu(III) complexes because they produce sharp photoluminescence spectra with high color purity and can be dissolved in polymer, enabling a reduction in particle size to the molecular…
Read MoreAdvantages of 3D Technology in Stereometry Training
This paper presents a new software for stereometry training. Its name is StereoMV (Stereo Math Vision). It is results from a dissertation work on the topic “Stereoscopic Training System”. It introduces virtual reality systems that are both immersive and non-immersive. The difference between them is in the equipment and the stereo effect they offer. A…
Read MoreForensic Analysis of “WhatsApp” Artifacts in Android without Root
WhatsApp application is considered the largest messaging application around the world and an important source of information, they just incorporated a new technique that operates on end-to-end encryption, which presents a significant problem for forensic investigators and analysts. This study describes how to recover the encryption key from WhatsApp to decrypt WhatsApp databases and retrieve…
Read MoreAnalysis of Reading Time and the Number of Characters within One Gazing Point
Concomitant with the ubiquity of lightweight electronic terminals, such as smartphones and tablets, e-books have increased in popularity. However, studies have shown that their display method and information-presentation efficiency need improvement. We investigated visual information processing during reading to develop a more efficient display method that presents information in an easier to see fashion than…
Read MoreEvaluation Studies of Motion Sickness Visually Induced by Stereoscopic Films
Humans have experienced motion sickness and possessed the knowledge of stereopsis since classical antiquity. Knowledge of stereopsis dates back to approximately 300 B.C., when Euclid first recognized the concept of depth perception in human vision. Further, the motion sickness is including a sensation of wooziness and nausea that has been documented since approximately 400 B.C.,…
Read MoreVibration and Airflow Tactile Perception as Applied to Large Scale Limb Movements for Children
This study aimed to develop an airflow-vibrator motivated facility and assess exercise behaviors. The combination design involved computer-controlled airflow/ vibrators, a user interface program, and an adjustable structure presenting interaction options. The teacher and the participants can choose specific music with adjustable speed. The researcher did interviews during the initial test and field study. During…
Read MoreA New Video Based Emotions Analysis System (VEMOS): An Efficient Solution Compared to iMotions Affectiva Analysis Software
The Micro-facial expression is the most effective way to display human emotional state. But it needs an expert coder to be decoded. Recently, new computer vision technologies have emerged to automatically extract facial expressions from human faces. In this study, a video-based emotion analysis system is implemented to detect human faces and recognize their emotions…
Read MoreEvaluation of Facebook Translation Service (FTS) in Translating Facebook Posts from English into Arabic in Terms of TAUS Adequacy and Fluency during Covid-19
The study aims to verify the capacity of Facebook Translation Service in translating English Facebook posts into Arabic in terms of two criteria: adequacy and fluency in line with the Translation Automation User Society (TAUS) scales. To ensure consistency and objectivity as recommended by TAUS, six evaluators, native speakers of Arabic and near-native speakers of…
Read MoreActive Disturbance Rejection Control Design for a Haptic Machine Interface Platform
This paper proposes an active disturbance rejection control (ADRC) design for a haptic display platform structure. The motivation for the following scheme originates from the shortcomings faced by classical proportional integral derivative (PID) controllers in control theory. The ADRC is an unconventional model-independent approach, acknowledged as an effective controller in the existence of total plant…
Read MoreAnalysis of Gaze Time Spent at the Gazing Point that is Required During Reading
This paper aims to clarify the lower limit of the gaze time required during reading by investigating at a display time of 98 msec or less using the visual information processing analyzer developed in the previous research. The image display range and display time at the point of gaze was controlled by moving the window…
Read MoreBounded Floating Point: Identifying and Revealing Floating-Point Error
This paper presents a new floating-point technology: Bounded Floating Point (BFP) that constrains inexact floating-point values by adding a new field to the standard floating point data structure. This BFP extension to standard floating point identifies the number of significant bits of the representation of an infinitely accurate real value, which standard floating point cannot.…
Read MoreImplementation of a Journalist Business Intelligence in Social Media Monitoring System
The need to update the news at this time is very important. Journalists have responsibilities as their job. Apart from conveying the correct news to the public, they must also deliver it quickly. Journalists who are tasked as news seekers must always be updated about the latest news that is viral, therefore a journalist must…
Read MoreEffect of Starch Oxidation Degree on the Properties of Hydrogels from Dialdehyde Starch and Polyvinyl Alcohol
Starches have been applied as biomaterials due to their wide availability and biocompatibility. These have also been modified by oxidation, resulting in dialdehyde starch (DAS), to improve their stability in water and mechanical properties. Cassava starch with a low oxidation degree has been introduced into hydrogels based on polyvinyl alcohol (PVA) to improve their properties.…
Read MoreInterface for Visualization of Wireless Propagation Multipath Clustering Outcomes
A graphical user interface (GUI) is presented to visualize the multipaths generated by COST 2100 channel model (C2CM) and the results of clustering the wireless propagation multipaths using Modified Simultaneous Clustering and Model Selection (MSCAMSMA). The usual practice of authors is to show their data and results using figures, tables, and graphs which are already…
Read MoreVariation Between DDC and SCAMSMA for Clustering of Wireless MultipathWaves in Indoor and Semi-Urban Channel Scenarios
The performance of Simultaneous Clustering and Model Selection Matrix Affinity (SCAMSMA) and Deep Divergence-Based Clustering (DDC) in clustering wireless mul- tipaths generated by COST 2100 channel model (C2CM) is compared. Enhancing the accuracy of clustering multipaths is an open area of research which the clustering ap- proaches try to improve. Jaccard index is used as…
Read MoreExtending the Classifier Algorithms in Machine Learning to Improve the Performance in Spoken Language Understanding Systems Under Deficient Training Data
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…
Read MoreAn Overview on CryptDb and Word2vec Approaches
Big data is a vast data set that was used in many areas. Online applications are subject to theft of confidential information because opponents can exploit software errors to access private data, and because curious or malicious officials can capture and lose data. CryptDB is a functional system that provides security and confidentiality through a…
Read MoreAssessing the Operator’s Readiness to Perform Tasks of Controlling by the Unmanned Aerial Platforms
Together with the intensity of development in the field of technology of unmanned platforms and their effective use for solving various tasks of peacetime and war, the requirements for the training of the operator managing the platform also increase. This fully applies to personnel providing the flight of manned means. Nevertheless, there are significant differences…
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