In this paper, we have proposed Single Inductor Dual Output (SIDO) buck-buck and boost-boost DC-DC converter using improved RC ripple regulator control. The proposed SIDO buck-buck converter has the characteristics of low-ripple and high control frequency. RC ripple regulator control can not be applied to SIDO boost-boost converter because RC ripple regulator undergoes self-excited oscillation and two self-excited oscillating controllers make the SIDO converter unstable. Thus we proposed the priority circuit for RC ripple regulator control. The proposed control circuit improves response characteristic and simplicity of the control circuit. Simulations are performed to verify the validity of the proposed SIDO converter. Simulation results indicate good performance of the proposed SIDO converter.

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This paper proposes an adaptive notch filter which automatically adjusts the notch frequency and the notch gain, where they are the null frequency and the depth of the null, respectively. The proposed notch filter consists of an inverse notch filter and a linear prediction filter, and gives an appropriate filter gain which can eliminate a sinusoidal noise and extract only a wide-band signal even if they share the same frequency. We compare the capability of the proposed notch filter with traditional methods. Simulation results show that the proposed method improves the SNR in comparison to the conventional methods.

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Endothelial dysfunction is known to be an early sign of arteriosclerosis. The shear stress-induced endothelial nitric oxide (NO) production is an important function of vascular system. In order to analyze this function, many in vitro experiments have been conducted and computer simulations with the mathematical models are utilized to analyze the experimental data. However, it is difficult to understand the whole function because each model simulates only a particular behavior. In this paper, we developed a multi-scale model that consists of mechanical and physiological models. This model simulates the shear stress-induced intracellular ion movements and NO synthesis. The proposed model is also able to simulate the NO production under eNOS inhibitor L-NAME. We performed the numerical experiments and demonstrated that the proposed model is capable of reproducing the experimental data of NO production. These results also suggest that the model can be used to develop a useful diagnostic application such as the estimation of in vivo NO concentration.

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We present derivation of a new positive realness constraint of denominator polynomial. The positive realness constraint constrains the condition of specified maximum pole radius. Using the constraint to the design of infinite impulse response (IIR) digital filters, we can not only get a robust stable filter but also reduce the peak errors in the transition zone. Also, we formulate the design problem of low-pass differentiators, which is a class of digital filters, without frequency sampling. Incorporating the positive realness constraints we derived with the design problem of low-pass differentiators, the design problem can be expressed in a constrained quadratic programming problem. Finally, we show several examples to demonstrate the effectiveness of the proposed method.

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Recently, building facility management system which collaborates with servers in the data center is drawing attention. However, such system cannot operate the building facility without communication function with the server. Also, there is a problem that remote operation from the server conflicts with local operation of the facility. In this paper, we propose a gateway method to solve such problem. The proposed method consists of a protocol conversion function by the screen wrapping and a conflict avoidance function based on the priority. In this study, we implemented a prototype system for evaluation of the proposed method and showed its usefulness.

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In this paper, we study a method for designing a state feedback control law which can assign the zero locations concurrently with possessing integrity of a system against the failure in the specified input channels. The basic idea of the zero assignment is to transform a part of the system matrix to an upper triangular matrix. In this control system, the zeros can be assigned by control input in the connected channels and the zeros of the remaining disconnected channels can be fixed. A state feedback control law in a part of input channels is so synthesized as to attain the zero assignment and to preserve the controllability of the closed loop system. With the help of the controllability of the closed loop, we can cope with the integrity problem irrespective of the zero assign strategy by means of another state feedback control law in the remaining input channels. A numerical example illustrates the effectiveness of the results.

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The maximally flat FIR digital differentiators have extremely high accuracy around their center frequency. Especially, when high-accurate differentiation is required in the low frequency, the low-pass maximally flat FIR digital differentiators are very useful. However, the conventional low-pass maximally flat FIR digital differentiators have large delay because of the linear phase property. In this paper, we describe a design method of the low-pass maximally flat FIR digital differentiators with reduced delay. The proposed transfer function is derived as a closed-form solution. The proposed differentiators realize the magnitude response which consists of the flat differentiator band around ω = 0 and the flat stop band around the frequency ω = π. Simultaneously, the proposed differentiators realize reduced delay response. The proposed differentiators can also realize the linear phase response, so that the proposed method includes the conventional design methods of the low-pass maximally flat FIR digital differentiators.

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In this paper, a multi-agent simulation model of urban traffic behavior using mathematical optimization methods is constructed. Traveler agents decide their routes and means of mobility by optimizing their utility functions. There are too many selection candidates in their decisions to be calculated in practical time, thus modeling techniques which reduces calculation time as well as keeps accuracy is proposed. The decision making process of agents is divided into the common part and the individual part. Results of the former part are shared by multiple agents and the later part is constructed as parallelizable to calculate multiple agents simultaneouslly. Suitable value of the parameter which decide balance of accuracy and calculation load is estimated by computer experiments. Through some simulations, behavior and potential of the proposed model is demonstrated.

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Paper documents have been widely used, and the digitization has been propelled for document management and efficiency. Additionally, since notes on them include users' information and interest, it is worth analyzing those information. However, it is difficult to perform character coding on both handwritten and machine-printed texts with an optical character reader. This paper proposes a method to extract the lines handwritten with writing tools from document images. The proposed method will facilitate the automation of the analysis and can be utilized for the extraction of important words and the preprocessing of handwriting information analysis. This method focuses on the concentration characteristics of writing tools. In the experiments using this method, handwriting and machine-printed lines were successfully extracted with 98% accuracy or above, and the false extraction of machine-printed areas was very little.

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A new region segmentation and salient object extraction method is constructed based on virtual super pixel and global features. The salient object region was obtained through the following process: (1) extraction of the background regions, (2) calculation of the saliency of the segmented region, (3) unification of the low-saliency regions to the high ones. One of the important elements of the region saliency is the contrast between adjacent regions. However, it is hard to find a conventional method treating the adjacent situation between regions. In this paper the adjacent situation between regions was easily extracted using the VSP and it was used to calculate the contrast with adjacent regions. The salient objects extracted through the proposed method matched those extracted by humans and the scores of F-measure applied to the database CSSD composed of 200 images and the ECSSD of 1000 images were about the same as those presented in Yan et al. (2013) and Shi et al. (2015).

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A new multi-objective optimization problem in presence of noise is formulated and called Multi-Noisy-Hard-objective Optimization Problem (MNHOP). Since considering the worst case performance is important in many real-world optimization problems, each solution of MNHOP is evaluated based on the upper bounds of noisy objective functions' values predicted statistically from multiple samples. Then an Evolutionary Multi-objective Optimization Algorithm (EMOA) based on Differential Evolution is applied to MNHOP. Three sample saving techniques, namely U-cut, C-cut, and re-sampling, are proposed and introduced into the EMOA for allocating its computing budget only to promising solutions. Finally, the effects of those techniques are examined through numerical experiments.

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We propose a technique called the Autonomous Non-stop Microcode Updating Technology to achieve high available dual controller storage systems. All commands which the microcode updating controller receives are transferred to other controller and executed by it, so that the microcode updating controller is released from any command operations, and storage administrators can execute microcode updating operation without any help of server administrators. The results of simulation with actual simulated load reveal that increase of average response time is 0.54ms and increase ratio is 19%. Performance of application is not affected by the results. In addition, we estimate the controller pause time during non-stop microcode updating process is 150ms at a maximum by this evaluation. Proposed technology achieves availability of 99.999%.

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In this paper, we propose a parallel processing method of map simplification using spatial DB which supports data management, spatial operations and spatial queries. This method simplifies geometry figures in parallel without splitting original figures on boundaries of meshes which are conventionally used as rectangular data management units. The simplified result of our method has fewer vertices than a conventional method, since unnecessary vertices aren't added in the simplification process. In order to evaluate the effectiveness of our method, its processing time and simplified results for actual map data are compared with those of the conventional method.

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A remote elder care is important but it is difficult to support their correct dosing. We developed a remote elder care support system, which enables users to synchronize handwriting, and photos in real-time on ordinal smartphones and tablet devices. However, a caregiver was hard to check care receiver's dosing timely. And, it is undesirable to attach additional sensors to ordinal devices to reduce caregiver's load. To solve the problem, we developed a motion detector based on the attenuation of Bluetooth signals, the 2.4 GHz band. The advantages of our method are that equipment of any devices to detect care receivers is unnecessary and non-expert can sets the system flexibly. We experimented the attenuation of Bluetooth signals by a human body, thus we concluded that Bluetooth could be used for a motion detector.

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In order to build a highly efficient psychological counseling system, we provide a text classification method to aid the system in processing the complicated psychological knowledge base. This paper presents a method of text classification, which include LDA, morpheme parse, and majority voting. We believe that by classifying the user's question, it will increase the precision of finding the relevant answer to the user's question. We firstly collected three categories of psychological problem texts which are love-related, interpersonal relationship, self-knowledge which are questioned most commonly as training data and texting data. And all of the texts have tags that show their categories. Then we use these data to train LDA to obtain the most usable topic distributions of each category and most usable word distributions of each topic. We use a majority voting method to classify category unknown input with using these topic distributions and word distributions. We also did comparison experiments which were based on TF·IDF and SVM so as to identify the validity of our approach. The experimental results demonstrated the feasibility and effectiveness of our approach. According to the classification experiment, precision rate of our approach exceeds 80.3%, while the two comparison methods got 62.6% and 68.0%. We think by using our approach, counseling system can provide more accurate and effective answer to user.

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Air conditioning system, which is required to achieve both maintenance of energy conservation and proper room environment, can be regarded as heat supply and distribution system. There, requirements for saving energy and maintaining proper room environment coexist. Under energy saving environment, the total heat resource amount available for air conditioning is limited. In this paper, for the air conditioning system that uses the centralized thermal source, algorithm for relocating heat resource to the rooms in higher demand is proposed. Through the virtual heat resource storage, the algorithm saves heat resource when demand is low and consumes when demand is high. It achieves peak-shift of energy consumption as well as peak-cut. Effectiveness of the air conditioning operation plan using the algorithm is confirmed by simulation. In comparison with conventional method, heat resource consumption is reduced from 14.3 percent to 24.7 percent, while raise of averaged room temperature is within 0.195 degree Celsius.

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