Showing 37–48 of 141 results
Coefficient Constraint LIC with ADMMOpen Access
Abstract: Local Intensity Compensation (LIC) is an intra-frame motion compensation for video coding, and was a candidate for HEVC. LIC compensates a target block using motion vectors of reference blocks and linear coefficients of the blocks; thus, from a view point of data compression, not only compensation error but also the range of the motion vectors and coefficients should be as small as possible. Our previous work employs Alternating Direction Method of Multipliers (ADMM) to obtain reference blocks and their coefficients of LIC. This paper proposes to limit the range of coefficients, and experimental results tell us that the proposed method shows almost equivalent compensation accuracy to the conventional method.
Keywords: Convex Optimization; Alternating Direction Method of Multiply; norm regularization
User Experience Evaluation on the Cryptocurrency Website by Trust AspectOpen Access
Abstract: A portal into the public ledger cryptocurrency makes a competition of the best web sites and easily trusted by the public. These are believed to constitute a measurable dimensions of User Experience (UX). This study aims to evaluate the user experience of the use of the three web sites most frequently accessed cryptocurrency from Indonesia. The evaluation conducted aimed at knowing the factors that influence user trust through the design of the interface and can be installed on a new design. Methods include Performance Metrics, Post-Task Rating, Post-Session Rating, and Experiential Overview and eye-tracking device. Based on the results of research, in the overall evaluation of the web site, the web site is the most superior of Indodax. The results of the evaluation are then applied on a new design using the software Invision and examined again to see a comparison of the respondent at the time of first use. The result of the research is the assessment, recommendations, and design the look of the web site cryptocurrency are trustworthy based on user experience
Keywords: Cognitive Ergonomics, Human-Computer Interaction, User Experience, Cryptocurrency, Website, Emotional Design, Online Design
Linear Active Disturbance Rejection Control Using Plant Inverse PropertyOpen Access
Abstract: In this paper, we propose a control law in a linear active disturbance rejection control (LADRC) for removal of ramp disturbance. We use plant inverse characteristics as a control law. We calculate the steady-state error of the conventional method and that of the proposed method using the final-value theorem. In a conventional and a proposed LADRC, each plant output has no steady-state error when a step signal is assumed as a plant input-side disturbance. However, in a conventional LADRC, the plant output has a steady-state error when a ramp signal is assumed as a plant input-side disturbance. On the other hand, in a proposed method, the plant output has no steady-state error. In comparison with a conventional method, the proposed method has almost the same control performance for a plant with a modeling error.
Keywords: Active disturbance rejection control. Extended state observer. Steady-state error. Plant inverse characteristics.
Image Segmentation-Based Face Tracking on Thermal Images for Automatic Estimation of Psychophysiological States Using Facial Skin Temperature DistributionOpen Access
Abstract: In human-machine system, human and machine need to recognize each other’s state with continuously, quantitatively and real-time property. Facial skin temperature could be measured with these properties by infrared thermography. The non-contact property is a great advantage in bioinstrumentation. Previous studies have been reported the availability of facial skin temperature for evaluation of psychophysiological states of a human such as stress, drowsiness and emotion. On the other hand, the development of the face detection and tracking techniques on thermal images are necessary for the automatic evaluation of psychophysiological states of a human based on facial skin temperature, measured by infrared thermography. The objective of this study is to establish the technique for face detection and tracking on thermal images. In this study, the algorithm consisting of three phases: (A) human detection based on inter-frame difference, (B) face detection based on image segmentation, and (C) face tracking based on temporal analysis, is proposed. As a result, the face region on thermal images could be detected and tracked with high precision. However, a part with low temperature such as the back of nasal and cheek was classified as a region other than a face.
Keywords: Thermal image; face tracking; image segmentation
Effect of Shoes on Lower Extremity Pain and Low Back during ProlongedOpen Access
Abstract: Media with 16o slope is an effective solution to reduce low back pain risk caused by prolonged standing. In this study, we examine the effect of shoes on lower back pain caused by prolonged standing for 2 hours on sloping medium. However, prolonged standing has another major risk: lower extremity pain. Many studies have shown that this risk can be affected by shoes type or characteristic. Hence, lower extremity pain risk is the main concern in this research. Two types of shoes observed in this study are Safety Shoes and Slip-On Shoes, as these are the most widely used in the manufacturing industry. Using the Surface Electromyography (S-EMG) method, the difference in Medial Gastrocnemius muscle response was measured against both types of shoes. The study showed that both types of shoes have different muscle activation values and the Safety Shoes showed greater activation. This result proves that, type of shoes may affect the amount of lower extremity pain caused while standing for 2 hours on sloping medium and Safety Shoes poses a greater lower extremity risk. Both Visual Analog Scale (VAS) and Foot Pain Questionnaire methods supported the finding. While the results of VAS method found standing for 2 hours on sloping medium has a greater lower extremity pain than low back pain risk. Foot Pain Questionnaire method indicated that the activity of standing for 2 hours over sloping medium causes a high pain on thumb toe and the back of foot. Based on this study, it can be concluded that it is necessary to design a special shoe for prolonged standing occupation on a sloping medium that can reduce the lower extremity pain risk, besides low back pain risk
Keywords: Biomechanics, ergonomics, lower extremity pain, low back pain, prolonged standing, shoes, surface-electromyography.
Calibration of Surgical Knife-Tip Position with Marker-Based Optical Tracking Camera and Precise Evaluation of Its Measurement AccuracyOpen Access
Abstract: We have been developing a liver surgery support system in collaboration with Kansai Medical University Hospital. Our surgical support system issues a warning when the surgical knife approaches a vital nerve or large blood vessel that should not be cut. It is also able to navigate the knife-tip to appropriately resect a tumor. Our system estimates the position and orientation of the surgical knife and the target organ using two distance cameras during surgery. The distance between the knife-tip and the blood vessels inside the organ is measured in real-time. In this paper, we present the details of our liver surgery support system and report the accuracy of the knife-tip positioning. The experimental results show that the position estimation error of the knife-tip is 0.3 mm and the standard deviation is 0.3 mm. The error of the distance between the estimated knife-tip positions on the neighboring grid points was 0.1 mm. This result satisfies the doctor’s surgical requirement.
Keywords: Surgical knife positioning; Calibration; Liver; Accuracy;
An Implementation of Medical Image Mosaicing System Based on Oriented FAST and Rotated BRIEF ApproachOpen Access
Abstract: Image stitching is a technique that combines two or more images that are taken from different view of the same scene to obtain a panoramic image. Image stitching is used in medical applications for stitching of X-ray images. As the traditional system of X-ray machine cannot capture the whole body structure in a single image. So, images stitching solves this problem by combining two or more x-ray images into a large view one. This paper proposes an algorithm which automatically stitches the x-ray images with overlapped region. The stitching method is based on ORB features (Oriented FAST and Rotated BRIEF features). The proposed system is designed with five stages, preprocessing, features extraction, features matching, Homography estimation and images stitching. In feature detection stage, Oriented FAST approach is used. In feature description stage, Rotated BRIEF approach is applied. The two primary parameters for measuring the stitching performance are the quality of the resultant image and the processing time. Therefore, the main objective of this paper is to produce a high quality image stitching system with low processing time. First, we compare many different features detectors. We test SIFT method, SURF method, Harris corner detector and ORB approach to measure the correct detection rate of the feature points and computation time. Second, we measure the quality of result images that produced by stitching system of different feature detection methods. From experimental results, we conclude that ORB approach is the fastest, more accurate, and higher performance.
Keywords: Biomedical images; Feature based approach ; Image stitching; ORB features ; Panorama
Statistics Causality Analysis of Emotions Evoked by Self-Feedback and Facial Features Based on Feature MapsOpen Access
Abstract: Previous studies have demonstrated that emotional arousal is evoked by visual feedback of a selfie. This selfie was subjectively evaluated as having a good face and a good psychological state. However, the causality between emotional arousal due to feedback from a selfie and facial features recognized by the human eye was not revealed. The objective of the present study was factor clarification of the emotional arousal. The study evaluates the kind of facial information the human eye recognizes when the human distinguishes the type of selfie. For this, a model was developed using machine learning to automatically classify if a photographed selfie can favorably affect the emotional state. As a result, the type of selfie was distinguished at 83.3% correctness, and it was suggested that the whole face was recognized when the human eye evaluated a selfie as a selfie that can have a favorable effect on the emotional state. In other words, when evaluating the face, it was suggested that evaluating the whole, not the part, would be a cause of emotional arousal.
Keywords: Emotion, Emotional Arousal, Machine Learning, Selfie
Detection of Black Hole Attack and Performance Analysis of AODV Protocol in MANET (Mobile Ad Hoc Network)Open Access
Abstract: A Mobile Ad hoc Network is an aggregation of mobile terminal that form a volatile network with wireless interfaces. Mobile Ad Hoc Network has no central administration. MANET is more vulnerable to attacks than wired network, as there is no central management and no clear defense mechanism. Black Hole Attack is one of the attacks against network integrity in MANET. In this type of attack all data packets are absorbed by Black Hole node. There are lot of techniques to eliminate the black hole attack on AODV protocol in MANET. In this paper a solution named Black Hole Detection System is used for the detection of Black Hole attack on AODV protocol in MANET. The Black Hole Detection System considers the first route reply as the response from malicious node and deletes it, then the second one is chosen using the route reply saving mechanism as it comes from the destination node. We use NS-2.35 for the simulation and compare the result of AODV and BDS solution under Black Hole attack. The BDS solution against Black hole node has high packet delivery ratio as compared to the AODV protocol under Black hole attack and it’s about 46.7%.The solution minimize data loss, reduces the average Jitter by 5% and increases the Throughput.
Keywords: MANET, AODV, blackholeAODV, bdsAODV
Research on Dynamic Multi-Object Recognition based on Machine VisionOpen Access
Abstract: Dynamic multi-object recognition based on machine vision is a very important research direction in the field of pattern recognition. In this paper, the multi-object identification of robotic fishes in water is studied and A HSV color space model is proposed. By re-modeling the original color space, the main light interference in the image can be effectively removed, and the shadow of the robotic fish can be removed, making the background segmentation more accurate. The improved algorithm has stronger robustness than the original matching tracking algorithm
Keywords: Robotic fish, target recognition, machine vision, HSV, deep learning
Fabrication and Evaluation of the Inshore Fishing UAV GripperOpen Access
Abstract: UAV is defined as Unmanned Aerial Vehicle with some greater or lesser degree of ‘automatic intelligence’ part of an unmanned aircraft systems. Although all UAV systems have many elements other than the air vehicles, UAVs are usually categorized by the capability or size of the air vehicle that is required to carry out the mission. However, it is possible that one system may employ more than one type of air vehicle to cover different types of missions, and that may pose a problem in its designation. However, these definitions are constantly being changed as technology advances, allowing a smaller system to take on the roles of the one above. The boundaries, therefore, are often blurred so that the following definitions can only be approximate and subject to change. The main challenge in design and making any system for integration into the main research system, such as robot or UAV, requires careful attention on the interaction of each electric and electrical unit or component on the circuit board. This paper highlights the fabrication and the evaluation of the Inshore Fishing UAV gripper, the acrylic board, and the wireless communication module. The communication transmission distance between the UAV on shore and UAV over the sea is about 1 kilometer with stable flight.
Keywords: UAV; UAS; Gripper; Drone; Seashore; twe-litle.
A laser scanner based in-process inspection approach of thru-hole for drilling robotic systemOpen Access
Abstract: An in-process hole inspection subsystem was integrated with the drilling robotic system, which is based on the line laser scanner installed near the end-effector. The proposed inspection approach is based on the image processing of 3D (three dimension) point cloud obtained from laser scanner driven by the robotic manipulator. The normal of measuring surface was detected from the 3D point data on the hole edge, which determines the feedback signal to the hardware to adjust the direction of laser beam. By normal adjusting algorithm, the laser scanner is driven by the robotic manipulator to achieve the normal direction of the measuring hole. Then, based on 2D (two dimension) point data, the least square ellipse fitting method was applied to compute the hole parameters, such as diameter, circularity and positioning of the hole. The designed approach was tested for its accuracy and robust in an example of through hole automatic inspection
Keywords: line laser scanner, drilling robot, hole inspection, normal adjusting