In the current rapidly changing business environment, companies need to be efficient and agile to survive and thrive. That is why flexible systems integration is urgent and crucial concern for any enterprise. For the meanwhile, systems integration technology is getting more complicated, and middleware types are beginning blur for decades. We sort system integration into four different types, “Delayed Federation", “Real-time Federation", “Delayed Integration", and “Real-time Integration". We also outline appropriate technology and architecture for each type.

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It is frequently observed in emergent situation that important information does not reach to an right person or department in the organization because of the confusion after the emergency or in some case because of lack of knowledge on contact address. This phenomenon happens especially when different organizations are connected dynamically in emergency and it is very important to support communication in emergent situations. This paper deals with a communication support system considering dynamic organizational connection in emergency. The system is based on the communication model that considers human related factors such as “competence", “duty", “responsibility" and “knowledge" in organization. On the basis of the model, a communication support system to give contact address depending on the situation is designed and a prototype system with GUI is developed.

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The traditional business process design methods, in which the usecase is the most typical, have no useful framework to design the activity sequence with. Therefore, the design efficiency and quality vary widely according to the designer’s experience and skill.
  In this paper, to solve this problem, we propose the business events and their state transition model (a basic business event model) based on the language/action perspective, which is the result in the cognitive science domain. In the business process design, using this model, we decide event occurrence conditions so that every event synchronizes with each other. We also propose the design pattern to decide the event occurrence condition (a business event improvement strategy). Lastly, we apply the business process design method based on the business event model and the business event improvement strategy to the credit card issue process and estimate its effect.

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This paper presents the communication protocol between applications and remote databases in enterprise systems. Although the International Standard OSI-RDA has presupposed of the 1 request - 1 response communication protocol for the remote database access, it is not suitable from the view of system resources occupation and communication overhead in the case that the system should handle the large volumes of multimedia data. This paper proposes a server driven communication protocol in order to solve these problems, and compares the traditional method and the proposed method on the followings: (1) the number of communications, (2) the number of the encoding-decoding, and (3) the dynamic steps. According to the quantitative comparison, the proposed method makes the effort of avoiding communication resources occupation and improves 50% of communication overhead in case of only a large communication data. This paper also implies the guideline for suitable number of data segmentations for the remote database access.

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This paper describes a component model suitable for development of Enterprise Application Integration Middleware in the industrial field. In this model, there are two types of subscription. In component level subscription, an interaction between components is defined by subscription to changes of component’s attributes or to occurrences of spontaneous events. A connector object attached to a subscribed component manages these inter-component dependencies. This results in independency of a component and enables localized modifications when systems are modified or extended. In application level subscription, adaptor components map inter-component dependencies into inter-application dependencies. In this paper, our proposed middleware, DiaSynapse, has been developed based on this model, and applied to the development of wide-area monitoring systems and network management systems.

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The demand for extension courses is increasing. It is desirable for colleges to form a group and cooperate by adopting an agency system in providing courses. This requires a shared collaboration method that defines the flow of messages and payments. This paper presents such a method for the Inter-college EDI system. The user survey on the implemented system showed that 80% appreciated practicality of the system and 60% recognized increased efficiency.

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Ozone (O₃) and nitrogen dioxide (NO₂) concentrations in the lower troposphere were measured simultaneously for a continuous period of 20 hours using a differential absorption lidar (DIAL) system. O₃ concentrations of 70-170 ppb and NO₂ concentrations of 20-80 ppb were obtained at 750-1050 m in altitude. The measurement errors due to differential attenuation and gradients in the differential backscatter coefficient were calculated using the attenuation and backscatter coefficients obtained from the return signals. The measurement error due to gradients in the differential backscatter coefficient was about one order of magnitude greater than that due to differential attenutaion. The calculated measurement error due to gradients in the differential backscatter coefficient was 3.3 ppb for O₃ and 4.8 ppb for NO₂. The observed fluctuations in the O₃ and NO₂ concentrations were 6.5 ppb and 7.3 ppb, respectively. Correlation was seen between the calculated measurement error and fluctuations in the case of NO₂ measurement, but not in the case of O₃ measurement.

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This paper proposes the application of optical delay insertion and convolutional coding to Radio-on-Fiber ubiquitous antenna for Road-to-Vehicle wireless CDM (Code Division Multiplexing) system. In ubiquitous antenna system, the orthogonality of codes collapse, because a MS (Mobile Station) receives interference signals transmitted from different RBSs (Radio Base Station). So BER performance becomes worse. In order to solve this problem, we propose the application of convolutional coding. In addition, in ubiquitous antenna system, a MS sometimes receives signals transmitted from different RBSs at same chip timing. Therefore these signals become interference each other. In order to solve this problem, we propose the application of optical delay insertion as a MS does’t receive signals transmitted from different RBSs at same chip timing. In the case the distance between RBSs is 20[m] and chip rate is 32[Mcps], we can acquire the BER improvement all over the area by insertion of a 10[m] optical fiber.

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Bluetooth is best suited for an exhibition guidance system, because of its low-power consumption, enabling visitors to use their own mobile phones as browsing devices. High user mobility assumed in an exhibition hall needs an efficient handoff mechanism, which is required to establish connection to the most appropriate access point (AP) with minimized duration and maximized interval. This paper presents an efficient handoff method, by which a mobile device predicts its movement and connects to the most appropriate AP in the moving direction without inquiry. The prediction is based upon location estimation as well as view history. A visitor is considered to be in the location of an exhibit when he/she requests the exhibit’s info. The simulation results show the proposed method outperforms the existing methods in data rate and active mode rate.

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A new continuous speech recognition method that does not need the explicit speech end-point detection is proposed. A one-pass decoding algorithm is modified to decode the input speech of infinite length so that, with appropriate non-speech models for silence and ambient noises, continuous speech recognition can be executed without the explicit end-point detection. The basic algorithm 1) decodes a processing block of the predetermined length, 2) tracebacks and finds the boundaries of the processing blocks where the word history in the preceding processing block is merged into one, and 3) restarts decoding from the boundary frame with the merged word history. The effectiveness of the method is verified by the spoken dialogue transcription experiments. With a 5-minute dialogue in a moving car, the proposed method gives better results in word accuracy than the results using the explicit end-point detection method and the conventional one-pass decoder.

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The implementation of autonomous mobile robots in real life environments still has numerous challenges to face. The most crucial problem is real-time decision-making, using appropriate methods with the right hardware.
Recovering the three-dimension scene geometry and detecting moving targets simultaneously from a stream of images are important tasks and have wide applicability in the creation of autonomous mobile robots, such as persistent choice of a safe route free of obstacles, targeting objects to avoid collisions, autonomous navigation and robot manipulation.
  In the present work, we focus on exploiting the robustness of the analogic-array-processing-aspect introduced by the Cellular Nonlinear Network paradigm to develop a real time tracking method for a stream of general signals coming from space-distributed sources for monocular autonomous mobile robots. The motivation for developing the new tracking method is from one hand the matching operation has to be performed in real-time, while from the other hand a 32 bit floating point accuracy is not often required, which, together with a vertical rectification, as an intermediate process to minimize the token relative displacements between two frames, can lead to a robust real-time object tracking system.
  The technique has been successfully applied to several indoor sequences of images. The results of the simulations are presented and discussed.

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In this paper, we propose a novel learning method of two-channel linear filter for a target sound extraction in a non-stationary noisy environment using a two-channel microphone array. The method is based on a correlation coefficient between received sounds of two microphones. The cue signal, which has a correlation with a variation of S/N of the received sounds, is generated using the correlation coefficient and is applied to the learning. By several computer simulation results, a superior performance of the proposed method even at the consonant section of the speech signal is presented in comparison with the previously proposed method.

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In this paper, firstly we analyze stability of a time-varying system represented by second-order vector differential equations based on the characteristics of their coefficient matrices. New sufficient conditions for asymptotic stability of the equilibrium points are derived. Then, an asymptotic stabilizing control method of parametric LCR resonant system is discussed by using the obtained sufficient conditions. A method synchronizing two parametric LCR resonant systems is also given. The effectiveness of the results is illustrated by some numerical examples.

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The disturbance attenuation problem is discussed with the preview compensation of stored initial disturbances in terms of H^∞-performance. The stored disturbance describes the perturbation of preview control systems, which is caused by the change of reference signals. The problem provides an H^∞ control law, which has preview compensation, and enables to robustly stabilize the preview control system with favorable time domain performance. For the resulting control law, the relation between the disturbance attenuation and preview compensation is investigated.

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Protection countermeasures for the intellectual property (IP) of adopted cores are an important issue in ultra large-scale integrated circuits called system LSI.
  In this paper, we propose embedding cryptosystems such as a public key system or hash function system with cores to be protected. Which system should be adopted is considered from the viewpoints of importance of the core, efficiency and authentication structure. The soundness of each method is confirmed by trial productions by gate array process, implementation by FPGA, and by computer simulation.

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Japan is the eminent volcanic country in the world, and Suwanose-jima in Kagoshima and Mt. Asama in Gunma are puffing out smoke vigorously at present. In the past, the large-scale eruptions occurred in Sakura-jima and Unzen-Fugendake, and 10 percent of the energy in the earthquake and the volcano eruption of the whole earth is released in Japan. Therefore the prediction for the flow area of lava is very important. Then, we try to develop the simulation system which predicts the flow area of lava and the people want to use it at their homes. Because of this, our system must be able to use on a PC becoming popular in the present time. Our simulation technique can reduce the computing time using the simple way without considering the viscosity dynamics and so on. Also this system can show the simulation result with the three dimensional image and the animation using OpenGL. The user can view the area of the lava flow from the various angles, and we think that this is useful for the improvement of their conscience for the disaster prevention.

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Autonomous control systems have been requested recently for large-scale real systems. Distributed reinforcement learning is attracting attention specifically in control of physical flow systems such as lifeline systems. In this paper, we will introduce a model of Multi-Stage Flow System (MSFS) as a new problem class. MSFS is a framework which can describe various physical flow systems. Furthermore, it is effective in handling balance between a purpose of system and constraints, constraints under uncertainty and so on that are difficult to solve in conventional methods because of its features. We propose a new bi-directional decision making algorithm with feasible action sets based on a least commitment strategy. We apply our method to controlling of real sewerage systems. The simulation results show that only our method satisfies permissible levels and attains the performance within an acceptance level.

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This paper will show the manufacturing result of AT-cut quartz resonators for high frequency applications. Applying a chemical etching process with quartz anisotropy property enabled us to develop novel single-sided grooved-type quartz resonators in a two-step shape. Taking the anisotropy of quartz into account, regardless of the quartz wafer thickness, we succeeded in making resonators of optimal structures whose aperture ratio was the diameter of the vibration part (d) over the thickness (t). This structure has the advantage of selecting the aperture ratio freely regardless of the anisotropy of the quartz.

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