This paper proposes a compressive sensing method for the phased array weather radar (PAWR), which is capable of three-dimensional observation with high spatial resolution in 30 seconds. Because of the large amount of observation data, which is approximately 1 gigabyte per minute, data compression is an essential technology to operate PAWR in the real world. Even though many conventional studies applied compressive sensing (CS) to weather radar measurements, their reconstruction quality should be further improved. To this end, we define a new cost function that expresses prior knowledge about weather radar measurements, i.e., local similarities. Since the cost function is convex, we can derive an efficient algorithm based on the so-called convex optimization techniques, in particular simultaneous direction method of multipliers (SDMM). Simulation results show that the proposed method outperforms the conventional methods for real observation data with improvement of 4% in the normalized error.

Blood viscosity, which strongly correlates with the aggregation degree of red blood cells (RBCs), has been identified as an important health index, especially in extracorporeal circulation treatment. The peak frequency of an ultrasonic reflection spectrum was determined to be an effective index by using real blood samples. The relationships among the aggregation sizes observed with an optical microscope, the interface sedimentation velocity, and the peak frequency were investigated after the aggregation degree of the RBCs was controlled.

This study aims to develop a numerical model to evaluate the road roughness condition using acceleration time histories recorded by car navigation systems. The acceleration record of transverse component of the vehicle is employed to detect the road sections with the international roughness index (IRI) of 12 mm/m or above. To achieve the objective, the IRI was measured with the interval of 10 m in Yokohama City and Chofu City. The relationship between the IRI and the accelerations recorded by car navigation system was evaluated, and logistic regression analyses were performed. The discrimination ability of the numerical model was revealed, and the model was applied to the acceleration time histories accumulated in March, 2015.

In this paper, a realizing method of a prefilter to cancel the effect of input/output data of plants on controller tuning with Virtual Reference Feedback Tuning (VRFT) is proposed. VRFT tunes controllers based on model matching. The reference model of the model matching for VRFT is a desired complementary sensitivity function. The corresponding transfer function to the reference model consists of the plant and the controller to be tuned. The controller is tuned so that the squared 2-norm of the error between the impulse responses of these transfer functions is minimized. To obtain the impulse response of the latter transfer function, the impulse response of the plant is necessary. An inverse filter, which is a finite impulse response filter and is contained in the prefilter, is employed to reproduce the plant impulse response from the data. Therefore, the ideal model matching error not affected by the data can be obtained. The usefulness of the method is shown through numerical examples.

This paper proposes a data-driven control parameter tuning based on fictitious reference iterative tuning (FRIT) for a class of continuous-time nonlinear systems with unknown parameters. This paper considers a single input, single output, continuous time, nonlinear affine system with linear input term. The controlled system can be stabilized by way of feedback linearization, but it is supposed to have unknown parameters. Hence, the controller based on feedback linearization has unknown parameters to be estimated. The present work introduces the idea of FRIT approach in order to tune controller parameters directly from closed-loop input and output data. In the proposed method, the controller parameters are tuned directly from collected closed-loop input and output data, and are obtained by optimizing the cost criterion composed of a fictitious reference signal. The paper also examines the well-posedness of the proposed nonlinear feedback controller. Finally, a numerical example is shown to demonstrate the effectiveness of the proposed method.

Extra-high-quality audio devices, which is reproducible sound of broadband, have appeared in recent years. Such audio devices of broadband can feel like a deeper sense of realism as an air field by feeling the vibration of the air with entire body. This technology is expected application as sense of presentation technology. Using this technology, development of the new stimulus medium that is the field generating device, such as wrapped up in air is enabled. The purpose of this study is to create a completely new sense with the airflow stimulus termed “air-sensation” by using the air field. In this study, we measured the psychophysical quantities to clarify the cognitive characterization of air-sensation as a basic examination. Specifically, we measured the absolute thresholds to detect the air-flow stimulus and sensitivity characteristics with respect to the strength of the stimulus. Consequently, it was revealed that cognitive characterizations vary with the properties of signal waveform, stimulus-presentation site, and stimulus-presentation order.

In this paper, state-of-the-art information regarding development technology of numerical prediction models developed by the Japanese Meteorological Agency are summarized. In addition, overseas solar irradiance and/or PV power forecast system and its applications for renewable energy fields are also introduced.

Human being produces perspiration or chills by autonomic nervous system, and unconsciously adjusted temperature to prevent danger of heat stroke, heat accumulation or hypothermia. In case of cervical spinal cord injuries, there are problem that his or her temperature continuing rising in the summertime not to able to adjusted his or her temperature easily because autonomic nervous system has unbalanced.

In this study, we developed a system which measured environmental data and temperature in daily life and always monitor.

Measurement system using conventional optical devices using a laser of 1520nm and its second harmonic generated (SHG) beam of 760nm for simultaneous measurement of oxygen and acetylene is described. A SHG light of 760nm with an output power of 1.8mW is generated by the PPLN module and combined with a DFB laser. A single spectrum which two absorption spectra of each gas are superimposed with each other is measured in a single wavelength scan. Signal intensity of the 2^nd derivative absorption spectrum varies with the wavelength modulation width and a high signal intensity of the absorption was observed with modulation width of 7.4GHz when two gases are measured simultaneously.

Recently, the data-oriented control method that directly designs the control parameters from the closed-loop data has been attracting attention. However, the structure of the controller should be determined previously in order to design a controller. Therefore, it is difficult to get the desired control performances for some complicated systems. In this paper, a new controller design method that designs both the controller structure and the control parameters simultaneously is proposed. The controller structure is determined by a genetic algorithm, and the control parameters are computed by using the least squares method. Furthermore, an experimental example is examined in order to verify the effectiveness of the proposed control scheme.

In this paper, we investigate the effectiveness of using high-speed video images for accurately estimating the distance of a preceding vehicle. Using image information with high temporal density, we expect that more accurate estimation becomes possible. The relative distance of the preceding vehicle is estimated using a particle filter. By taking a weighted average of estimated states of many particles, accurate distance estimation which exceeds the limit due to image resolution is possible. We measured the RMSEs of the relative distance of a preceding vehicle by using artificially-generated video images with different frame rates. The results showed that as the frame rate becomes higher, the estimation accuracy also becomes higher.

This paper reports analytical evaluation for high level injection state of PiN diodes. In the analytical theory, we take account of current continuity at the both ends of i-layer, and its physical parameters are evaluated by comparison to device simulation results. Then, we analyze optimum parameters for maximum forward current by using the analytical theory. Besides, we employ R(resistance at forward biased PiN diode) × Q(stored carrier in i-layer) for the index of total performance. RQ has minimum value as a function of lifetime, and it is confirmed that longer lifetime and high current density operation has a great effect for RQ reduction.

In this paper, a new method for synthesizing a higher-order passive complex filter using autotransformers is proposed. The proposed filter can be synthesized approximately by transforming the conventional one. Since the proposed transformation replaces all transformers with autotransformers, the proposed filter has no floating windings. As examples, both first-order and third-order complex filters are synthesized. The validity of the proposed method was confirmed through computer simulation and experiment. Due to approximate synthesis, the transfer function of the real output is different from that of the imaginary output. However, both of them have roughly the same response near the passband. Experimental results show good agreement with the theoretical value. It means that the proposed method is valid for the practical application.

The objectives of this study were to quantify changes in autonomic nervous function in shift workers after work using a finger plethysmogram and to evaluate their psychological states by means of psychological questionnaire. Eight female participated in the study. After a day shift (AD), after a night shift (AN), and on a holiday (OH) (referred to as “conditions”), the subjects' plethysmogram was continuously recorded while they performed tasks that would induce mental workload. Also, psychological questionnaire were conducted. The subjects engaged in four tasks: they gazed at a cross-shaped symbol on a computer screen (cross: “CS”), then they closed their eyes and rested (baseline: “BL”), they performed a mental arithmetic task (“AC”), and finally they rested (closed eyes: “CE”). The results showed that, the pulse wave amplitude during the “AC” task was significantly lower as compared to the figures during the “CS” task after a day and a night shift. The “CE” task was significantly higher than “AC” task after a day shift. The pulse wave length during the “CE” task was significantly higher than “AC” task after a day shift and on a holiday. The results of the psychological tests showed that fatigue levels were significantly higher than vigor levels after a night shift. These results suggest that the sympathetic nervous system becomes dominant during the mental workload after a night shift and that sympathetic dominance remains unchanged even after completing tasks.

To design novel displays guiding gaze, it is important to know how the visual search affects the perception and cognitive processing of objects. The purpose of this study was to investigate the characteristics of the visual search that are controlled by spatial frequency. We measured the detection time, accuracy rate, and scan path during eye movement in response to target stimuli. The stimuli, embedded in one of 30 areas (6 horizontal × 5 vertical directions) in background image with the broad frequency range, were presented while the spatial frequency parameter β was varied; this corresponded to the slope of the luminance power spectrum in the target stimuli. Twelve healthy men (aged 21-23 years) with normal vision participated in the experiment. The results showed a visual search threshold of 0.5 of β for both subjective and objective responses, corresponding to oral responses and support vector machine (SVM) applied to the deviation of the scan path from the target stimuli, respectively. Furthermore, the objective responses observed using SVM suggest the possibility of subconscious discrimination of target stimuli even when the subjects could not discriminate the target stimuli subjectively.

Polishing operation of metal surface of industrial product with high quality needs skillful working. This paper shows several conditions for skillful polish of wings of an aircraft. A motion capture system from multiple cameras measures movements of some workers, i.e. master, senior, junior and Novice, who have different skill for polishing the wings. Several expert workers present 9 conditions explaining a skillful polishing operation. We can find three important conditions by a multiple linear regressive analysis of the movements of polishing workers, i.e. (1) synchronized movements of both arms, (2) forearm bending with 45^° to upper arm, (3) smooth movements. According to the three conditions, we can evaluate skill of worker polishing wings.

Inspired by the cooperative co-evolutionary paradigm, this paper presents a two-stage algorithm hybrid genetic algorithm (GA) and multi-objective Markov network based EDA (MMEDA), to solve the robust scheduling problem for resource constrained scheduling problem (RCSP) with uncertainty. Within the two-stage architecture based on sequential co-evolutionary paradigm, GA is used to find feasible solution for sequencing sub-problem in the first stage, and in the second stage, MMEDA is adopted to model the interrelation for resource allocation and calculate the Pareto set with the scenario based approach. Moreover, one problem-specific local search with considering both makespan and robustness is designed to increase the solution quality. Experiment results based on a benchmark (PSPLIB) and comparisons demonstrate that our approach is highly effective and tolerant of uncertainty.

IoT is one of embedded systems and bases on distributed system including cloud computing. Devices used in IoT have characteristics including long-term application, unification between hardware and software, and purification for devices. IoT system may make us difficult to maintain securities on networks. During bankruptcy, the trustees of the concerned company face a dilemma regarding the protection of personal data managed by the bankrupt businesses between creditors and data subjects under liquidation since during liquidation, it is not clear whether such data belong to the creditors or the data subjects. Particularly in the case of this system, trustees find it difficult to obtain an overall view of the personal data managed by the bankrupt firm.

This paper suggests a burden of responsibilities for administrators under bankruptcies in IoT stage.

There are many online shops in the Internet and a lot of persons buy products in those shops. Many online shops provide advertisements and item recommendations to attract their customers, but to achieve satisfactory customer experience, shops have to change advertisement and recommendation strategies for every customer's intents, since his/her intent decides whether provided advertisements and recommendations are useful or not. Hence it is important for online shops to estimate customer's intents. One of the resources we can use to estimate is an access log, including information on customer's movement in the online shop. If the movements depend on customer's intents, we can extract knowledge on them from the access logs. However, tracking user's changeable intents is difficult for existing time-series topic models since there would be few user activities in a time slice. In this paper, we propose a new topic model combining a topic model for behavior analysis with a model for short text analysis. In experiments, we show that our new model can track user's intents appropriately.

It is necessary to have an agreement between the customer and the IT vendor which they understand the result and process of project delivery estimation. However the IT vendors have difficulty to explain complexity and dynamic difficulty of the project specification for the customers who do not have the IT expertise. On the other hand the customers feel unsatisfied about the present situation because they often receive unexpected project estimation from the IT vendors without clarifying the way of the estimation. It said that only 14% of customers were satisfied with the estimation and the pricing in JUAS IT trend survey, 2011. From that survey shows that there is huge gap between the customers and IT vendors about the feeling convinced and satisfied with the estimation. Therefore this study clarifies the estimation process and variation factors, and makes it visible.

Along with a rapid increase in the size and complexity of software today, the number of required test cases is also increasing. Although a lot of approaches to derive test cases are proposed, in case of deriving test cases for combination of state transition, N-switch coverage using state transition testing is only one approach. This approach cannot manage increasing test cases. In this paper, a practical knowledge to derive high priority procedural combination test cases in test cases from 1-switch coverage using state transition testing is formalized. Procedural combinations between tasks to be tested which is derived from data design documents are defined as rules. It is confirmed that the expected procedural combination test cases can be derived using this approach from a concrete instance of an IT system.

The authors propose the side information-free and low-computational complexity reception technique for TDSS (Time Domain Sequence Superposition) taking advantage of the pilot subcarriers for side information estimation. The simulation results show the proposed receiver performs well over both AWGN channels and fading channels, i.e. loss-less BER performances are observed, while the computational complexity of the proposed receiver is nearly the same as the conventional OFDM receiver, which is less than 1/10 of the ML receiver.