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1912-1945, or the Taisho and Showa periods for Husserl and Nishida : A reflection on the cultural problematic in Husserl\u27s essays for Kaizo journal and Nishida\u27s "Issues in Japanese Culture"
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Non-contact Measurement of Pupil Diameter using Infrared Light
Get PDFMedical reports said that the autonomic nerves such as sympathetic and parasympathetic nerves caused changes in pupil diameter regardless of the user ’s intention. Based on this idea, this paper proposed a non-contact pupil diameter measurement method to show internal information such as stress and emotion. A pupil diameter measurement system mainly consists of a device and an algorithm. For a device, infrared camera is usually used to take advantage of the different absorption rates of infrared light in the pupil and iris. In this paper, we assembled an infrared camera by remodeling a commercially available web camera. For an algorithm, we proposed a method that first detects the iris region from the facial video using MediaPipe and directly calculates the pupil diameter using the pixel gradient information in that region. Experimental results showed that the mean absolute error (MAE) was 3.9 px and the mean absolute percentage error (MAPE) was 24.5 % for 51 subjects. Our proposed system showed the highest accuracy compared to existing algorithms. As an application domain, we measured temporal changes in pupil diameter while playing PC games. Six subjects in this experiment showed the similar tendency of the changes
Adaptive Update of Reference Point Value for Parallel and Distributed MOEA/D
Get PDFThis paper proposes an updated method to determine the reference point for acceleration based on Multi-Objective Evolutionary Optimization Algorithm Parallel and Distributed Decomposition (MOEA/D) to process a multi-core environment. A method had been already proposed in switching update intervals which is not only effective for decreasing sparse regions in the initial stage, and improves multiformity and increases comparison of HV value and virtual overlap region method. However, this proposed method has limitations because the switching of the update interval needs to be manually set to find an appropriate switching value. In this paper, a method for automatically switching the update interval is proposed, which can be applied to various problems. Evaluating a newly proposed method, the convergence and diversity were compared by using a single-core MOEA/D and a parallel MOEA/D constrained knapsack matter, and prove that with a small number of generations it is not only effective for reducing the sparse regions up and also can improve diversity and increase HV value
Automatic Generation of 3D Models of Buildings Representing a City Feature
Get PDFDesigners design and create 3D background models for movies or TV games. There, many 3D models with similar features are needed to make variation, but this process needs lots user cost. Therefore, there is a need for user assistance tools that automatically generate 3D models with similar features. The author approaches this problem in two ways: for the user to design the algorithm that generates the 3D model, and to use an adversarial generative network. For the former, we implemented a procedural modeling method that generates a 3D models according to algorithms and parameters. For the latter, we assume that there is a need for a tool that can output similar 3D models based on a single reference, and we investigate the functionality of the method of Wu et al
An Acceleration Technique for Matrix Completion using Deep Unfolding
Get PDFThis paper proposes an acceleration technique using deep unfolding for matrix completion problem, which is the problem of estimating the missing values of a matrix. To solve the problem, various methods have been proposed, which is based on matrix rank minimization. While these methods have iterative schemes to minimize the matrix rank on each step, they have poor estimation accuracy and convergence property when the parameters of the iterative schemes are not given appropriately. In order to provide appropriate parameters of iterative schemes, this paper focuses on a deep unfolding to accelerate matrix completion methods. The deep unfolding is a method of constructing more flexible derivation algorithms by embedding learnable parameters into existing iterative algorithms and by learning the parameters applying deep learning techniques to differentiable iterative algorithms with inputs and outputs. Algorithms which have adjustable parameters such as gradient descent are expected to accelerate by using deep unfolding. This paper proposes two matrix completion methods accelerated by deep unfolding which can optimize the iterative parameters via machine learning. Numerical experiments show the effectiveness of the proposed methods
NUMERICAL ANALYSIS OF TWO-DIMENSIONAL FLOW FIELDS IN TRANSONIC AXIAL TURBINE CASCADE : EFFECTS OF BLADE LOADING DISTRIBUTION AND EXIT MACH NUMBER
Get PDFTo investigate the effects of blade loading distribution and exit Mach number on the profile loss in the transonic axial turbine cascade, numerical analyses were performed for the two-dimensional flow fields in three types of axial turbine cascades, which were different in axial-wise blade loading distribution, termed as the mid-loaded, the aft-loaded, and the front-loaded airfoil, respectively. The computed results showed the similar characteristic phenomena caused by the difference of the blade loading distribution to those in the experimental results. The mid-loaded one generated the impingement on the suction surface of the trailing-edge shock from the adjacent blade at lower exit Mach number than the others, and consequently increased the profile loss. On the other hand, the aft-loaded one exhibited the inverse phenomena to those of the mid-loaded one
A STUDY OF DESIGN AND ENGINE PERFORMANCE FOR NEXT GENERATION 2-STROKE OPPOSED-PISTON ENGINE
Get PDFAs a measure to combat climate change, the development of highly efficient internal combustion engines is an important issue. The opposed piston engine is one of the engine types that can achieve high efficiency because of its structure, which enables reduction of cooling loss and long stroke. In this study, I developed a new 2-stroke opposed piston engine and investigated design and development method for a basic general-purpose engine. In addition, combustion stability was evaluated exhaust characteristics under without load conditions were studied to evaluate the engine characteristics using an actual engine
A STUDY TO DEVELOP A NON-INVASIVE GLUCOSE SENSOR BY USING A COMPLEMENTARY SPLIT RING RESONATOR
Get PDFIn this paper, we describe the characteristics of the parameters, including the imaginary part as the dielectric constant of the glucose aqueous solution that resembles blood to realize a blood glucose sensor. A sensor using a complementary split ring resonator is investigated, focusing on the change in resonance frequency with glucose concentration. The relationship between the glucose concentration and the frequency dip of S21 is evaluated by simulation
ELECTROGENERATED CHEMILUMINESCENCE CELLS USING DIFFERENT FLUORESCENT MATERIALS AND INVESTIGATION OF THEIR EMISSION MECHANISM
Get PDFWe improved the electrogenerated chemiluminescence (ECL) performances by using different fluorescent materials. 5,6,11,12-Tetraphenyltetracene (rubrene) and 4-(di-p-tolylamino)-4’-[(di-p-tolylamino)styryl] stilbene (DPAVB) were used as a yellow emitter and an emitting assist dopant, respectively. The ECL solution was prepared by dissolving rubrene and DPAVB in a mixed organic solvent. The microfluidic cell with prepared solution exhibited a bright yellow emission from rubrene. The obtained maximum luminance and current efficiency were 292 cd/m^2 at 6.0 V and 4.50 cd/A at 5.5 V. We expect that the proposed ECL system will be useful in the development of solution-based display applications