To provide practice for venipuncture, a variety of objects are used as intravenous blood sampling practice models (henceforth, model). However, as has been pointed out, the feel of the model is different from the feel of the human body. Therefore, in this study we aimed to establish a simple evaluation method for such model. Using the measurement value obtained from the puncture apparatus used for three models, with a syringe-type three-axis force sensor, linear discriminant analysis was performed. From the results, it was possible to easily determine the characteristics of the model. In addition, compared to the single-axis method, the three axis method evaluation was more effective.

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The experiment employed 8 healthy subjects. HRVs of the subjects when they listen to the 1/f fluctuation music, bubbling of a stream, "Shirakami-Sanchi", and when they do not, are recorded separately. Furthermore, in order to investigate the psychological state change, the subjects are required to answer VAS questionnaire for both cases (listening to the 1/f music or "Shirakami-Sanchi", and not). When the subjects listen to the 1/f fluctuation music, their LF/HF values are decreased. On the other hand, when the subjects listen to "Shirakami-Sanchi", their LF/HF values are increased. And the experiment result shows that there exists relationship between VAS data ("Like or Dislike") and HRV data. Therefore, the proposed method is very useful.

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A medical examination in the Japanese tradition medicine (Oriental medicine) includes the tongue diagnosis and face diagnosis. We built tongue diagnosis and face diagnosis imaging system as a development type of the tongue diagnosis imaging system. This system can easily record a high-resolution image and can record not only the tongue but also the findings of the face. This system was able to record that the color of the tongue showed the change of a slight color after acupuncture. We understood that this system records precisely the views of the tongue, and add improvements to the system.

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The main purpose of this paper is to propose basic concept of learning support framework that focuses on consciousness. We propose a construction for mathematical model to express concepts such as "emotion" and "consciousness" in vector space. Emotion or consciousness of each individual is represented by a point in the vector space in the model. There is a high correlation in the sense of purpose and academic achievement of students by our experience. Consciousness is one of the important factors to achieve the goals. These facts are well known, definition of consciousness is difficult in general, and we have constructed a model by referring to the concept of moral science. We define the consciousness space has 3 axes [gratitude-discontent], [sympathy-egocentricity] and [understanding-misunderstanding] as the upper layers of emotional space. We are planning to apply the mathematical model of consciousness space to educational support system. We adopt UPI (University Personality Inventory) test which is a psyc hometric test for university students. We measure the scale to check the items concerning "gratitude " and "sympathy " based on the result of UPI test. The class questionnaire is used in order to determine the measure of understanding purpose.

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[in Japanese]

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We research and develop a novel biometric authentication to compare the advantage of the technique with typical methods. In the previous works, we presented a personal identification method with the image of the hand shapes on the keyboard. It is available to construct in a low-cost way and it is less stressful for users than ordinary passphrase method. In this article, we described the proposal of a biometric authentication method based on Bhattacharyya distance between color histograms in hand image, and also we discussed the implementation for the practical use. In addition, we experimented to evaluate the proposed method, and as the result, it was confirmed the precision of the authentication in the ideal environment was 100% whereas that one in real environment (at the real-time processing) was 78%. It was suggested that the implementation of our method was valid computational cost.

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This report deals with the problem of tissue characterization of coronary plaque. The ultrasound signals emitted from the intravascular ultrasound catheter to the plaque are used. In this study we have applied the bag-of-keypoints to this tissue characterization problem. The proposed method could clearly capture the structure of each tissue by using the frequency spectra-based histogram. The experiments showed that the results of the proposed method are easier to capture the structure of each tissue than the results by the 2D frequency histogram method proposed by the authors before.

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Since the spread of and high functionality of smartphones, we are dealing with large amounts of data, which include personally identifiable information, in the outdoors almost every day. Accordingly, smartphones are equipped with various personal authentication functions. In this paper, we describe a security enhancement method for pattern authentication of smartphone. This method is one of a biometrics authentication, which is based on locus of figure drawing and angle of device holding. To discriminate individual users, We applied self-organizing maps (SOM) for the authentication. The result suggests the possibility to enhance the accuracy of pattern authentication.

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Recently, the Arterio sclerosis obliterans (ASO) caused by chronic ischemia of limbs increases. As one of the diagnosis methods to detect the ASO, MR image which is obtained fresh blood imaging (FBI) is used for visual screening in medical fields. In this paper, we propose a method to detect blood vessel regions in legs from the FBI images. Especially, we developed for preventing the spread outside of the region and the segment accuracy in peripheral artery areas that is improved by using particle filter algorithms. We performed our proposed method on to real MR images which is obtained by FBI method and satisfactory detection results of artery regions are achieved.

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The research on a therapeutic process against psychosis using with atypical neuroleptics has been strangely neglected by many psychiatrists. The aim of this paper is to consider the process and future of medication. This time I examined the efficacy of atypical medication with three simple observations. These examples from them made it clear that atypical anti-psychosis is more effective than typical ones finding from several aspects.

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Over the past few years, numerous attempts have been made by clinicians to show how to support for depressive patients to return to work. What we wish to explain the clinical phenomenon that there is no conclusive proof the patient improved from depressive phase able to be well adapted to social life. This time, we examined the improvement level of depression using with HAM-D and the social adaptation ability using with SASS. We will consider how to guide the depressive patients to workable level.

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Over the past few decades a considerable number of studies have been made on how to solve the problem of mass infection in hospital. We must consider after having decided treatment the infection, it remains an unsettled question why the mass infection happened. We thought There are many cases where visitors maybe bring several germs into hospital. This time, we could suppress the mass infection through rejecting any visitors to meet patients. So the purpose of this paper is that no visitors allowed is a very useful countermove against mass infection.

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Periodontitis is a dental disease from which many people suffer. The most effective treatment with it is to remove dental plaque and scale periodically by a scaler. For this purpose, those who wish to be a dentist or a hygienist must take training of scaling and root planing using a jaw model and a scaler. It is, however, difficult to a trainer to evaluate the scaler stroke motion of a trainee, since the end of the scaler in a mouth cannot be observed directly. This paper proposes a method of visualizing the scaler stroke motion in the mouth three-dimensionally by the employment of a camera and a computer. The system is described and an experimental result is shown.

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Investigation of the seabed is an important issue nowadays. For this purpose, ultrasound images of the seabed provided from a side-scan sonar are often used for analysis. Two methods of analyzing the seabed are presented: automatic detection of objects on the seabed based on Haar-type feature and A daboost, and seabed sediments recognition using HLAC feature and the subspace method. Experimental results using real seabed ultrasound images are shown.

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Although it is able to approximate the movement of each physical part of falling down human body by free-fall motion, there is no guarantee about relations the anatomical severity for each physical part and free-fall motion, and a comparison of the anatomical severity for each physical part between experimental conditions. We classified the ways of a fall of the dummy doll through the dimensionality reduction of the time series data of a natural fall and the fall from a wheeled platform imitated a two-wheeled, self-balancing, electric vehicle. As a result, it was suggested that the analysis based on the classification by the ways of the fall obtained high external validity for the anatomical severity, and the effect of the physical protection.

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Criteria and Risk Adusters are strongly needed not only a machine centered safety but also the concepts of human centered safety. A risk has commonly given by relative and comparative expressions, whose styles are various survival or death ratio. The choice of risk are judged from the weight -ratio of benefit and disbenefit for group members or each person, and the death ratio for the risk is almost reduced to below 10^<-5>〜10^<-6>, and final judgments of accept or rejects for the criteria (level acceptable) depend on consciousness of social members. The ISS3 of TRISS mentions that the injured persons, being in death ratio 0.0035, are estimated as lifelong death ratio 5.8%, an average loss of life expectancy 2.7 years and an annual death rate 0.0007, if our life span is about 90 years and an operating time of those equipments reaches 4 hours every day. Those values are much smaller than ratio of automobiles or that of accidental death, and are same levels of the death rate of natural calamity. However, an estimation of TRISS becomes similar to that of ASCOT in the case of slight or severe injury, and accompanied with single trauma in the same region.

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In this paper, we propose a new fuzzy reasoning method considering truth value of proposition. This fuzzy reasoning method has the following advantages, This reasoning method satisfies the convexness and modus ponens, and not only the content of proposition but also numerical truth value of the propositions is considered.

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In this paper, a new walking support machine is developed for the people with walking impairment. The machine can realize walking support by moving to the direction the user is intending to go according to the user's manipulation. However, the motion of the machine is affected by the nonlinear frictions in the wheels and loads changes caused by users. It is necessary to improve the machine's motion performance to follow the user intention and assist the users to where they intend to go. Therefore, a digital acceleration controller is designed to deal with the problem of nonlinear friction and load change to improve the motion accuracy of the machine. Simulations are executed and the results demonstrate the feasibility and effectiveness of the proposed digital acceleration control method.

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The present study considers a fuzzy color system in which three input fuzzy sets are constructed on the tone triangle. This system process a fuzzy input and outputs a color on the color triangle system. Two fuzzy sets (not black and white) are applied to the tone triangle relationship. By treating the attributes of chromaticness, whiteness, and blackness on the tone triangle, a target color can be easily obtained as the center of gravity of the resulting fuzzy set. The output of the system is a tone triangle, which includes a compound vector with three weights (scalars) in color space. The differences between a fuzzy input and the resulting inference output is shown by the input-output characteristics (linear shape and right triangle shape) between the chromaticness, the whiteness, and the blackness of the input and the chromaticness of the output.

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The microscopic information of ion track is essential in the field of the heavy-ion therapy for cancer treatment. The knowledge of effect on human tissue by heavy particle beam is used to develop a reliable medical system of treatment planning. For cancer therapy by radiation, it is important to know the bystander effect. To understand this effect, we have to know the distribution of secondary electron, so we developed a 3D Monte Carlo code. As the demonstration of the developed code for secondary electrons, we calculated the distribution of secondary electrons.

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Particle radiation therapy becomes one of the most powerful tools. Particle transport calculation code PHITS is used to make exposure plans for the treatment. In this experiment we measured (p,p 'x)reaction double differential cross-section in most forward angles that were not measured previously to improve the accuracy of the calculation code. Experimental data were obtained at a cyclotron facility and compared with nuclear reaction theory calculation code CCONE and PHITS.

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Since the deformation behavior of the part carburizing and quenching is larger and complex so that its prediction is very difficult. In this study, the deformation behavior of one side of carburized quenching low carbon steel disc was verified by simulation and experimental work. In addition, simulation results by heat treatment code COSMAP, give a good performance to compare the experimental value, so that the inelastic deformation behavior in one side of carburized quenching was verified.

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Hyper-eutectoid steel is easy baked enters. Heat treatment likely defects such as cracks calcination occurs, further reduction of defects are sought. Through the analysis and comparison and validation of the analytical value with the experimental value, the results of the various, this study, to clarify the heat treatment conditions that allow the reduction of the defect while maintaining the hardness.

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Rough set theory was proposed by Z.Pawlak in 1982. This theory can mine knowledge granules through a decision rule from a database, a web base, a set and so on. The decision rule is used for data analysis as well. And we can apply the decision rule to reason, estimate, evaluate, or forecast an unknown object. In this paper, the rough set theory is used to analysis of time series data. Knowledge granules are minded from the data set of tick-wise price fluctuations. We Knowledge Acquisition If the data has changed greatly.

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Large amounts of important personal identifiable information have been handled on smartphones and tablet PCs nowadays. Therefore information security measures are developed and the importance of identification for uses is increasing more and more. We think a general identification by a passphrase is inadequate and it is necessary to authenticate user validation even at the time of smartphone operation. In this study, as the authentication method that considers operability, practicality and simplicity for smartphone, we propose a biometric authentication method using a flick operation. We analyzed flick operation patterns using Self-Organizing Maps (SOM), and calculated authentication accuracy. We experimented with several conditions. The precision of the authentication that we obtained is 73.98%〜81.46%. As a future work, we will develop and extend our flick authentication method, which is able to identify as correct and authorized user whenever anyone use mobile devices.

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In this study, we have developed and proposed a secure and useful authentication method to resist 'shoulder surfing' attacks for smartphone. In our previous works, we adopted Self-Organizing Map for an analytical technique and the precision of the authentications has been sufficient to ordinary use. As a step toward practical use in near future, it will be necessary to compare our technique with the other orthodox analytic methods at first. In this article, we compare the k-means with the SOM method and we evaluate both the precision of the 2-dimensional Euclidean distance, which is derived by SOM, and another precision of the 7-dimensional Euclidean distance derived directly. As a result, the precision of SOM method was 98.3% whereas the precision of 7-dimensional direct method was 95.6%. It was confirmed that the k-means method was insufficient for clustering relative to the SOM method at the evaluation experiment, and it was suggested that the SOM method was more suitable for the program implementation.

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Diagnosis Procedure Combination / Per-Diem Payment System (DPC/PDPS), which has been introduced since 2003, standardizes medical records. It is possible to collect analyzable clinical information nationwide as the uniform format (DPC formatted data) from medical centers and hospitals. In this paper, we describe a prediction method of a length of stay in the hospital from DPC data using Self-Organizing Maps (SOM). Firstly we show an encoding method of training vectors for SOM from DPC data, secondly we propose a visualizing method for different lengths of stay in the hospital on the SOM clusters and finally we discuss the evaluation of availability of the prediction method.

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Based on the Ningen-Dock data, a support tool for the health-care-service Dr Ningen-Dock has been constructed using the SOM. The ability to visualize with our method the positional relations between the MS indicators and the health conditions further adds to its usability as a health guidance tool. Besides, other lifestyle related matters such as liver, diabetes, kidney, and blood-general and inflamed-immunity will be judged through the same SOM method. This tool yields useful health guidance.

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Using the iris data of the benchmark, the significant degree of each component was calculated by the Spherical Self-Organizing-Maps (SSOM) method and then the usual Plane SOM. First of all the algorithm of the significant degree was constructed and then, the method was applied to the iris data. The result was compared with the multiple regression analytical results. The results are fur better than the multiple regression analytical method. The method was then applied to other several benchmark data. The result could be quite reasonable. Also, it was applied to the fatigue questionnaire data.

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Psychological anxiety of hospitalized patients has been recognized as a "matter of course". And that thing, would have been easily ignored as it should be put up. In this paper, we will think of something to do with the information desired by the inpatient as improvement of them. And we make some suggestions in terms of electronic information system of the hospital room in order to heal the hearts of hospitalized patients.

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In this paper, electronic and information of the temple has been delayed until now. According to the development of society. It is necessary to change the location heal the hearts of the human temple. We suggested that we think make the temple healing using information technology and communication technology will be possible this time.

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In recent years, the rapid spread of wireless network Wi-Fi and mobile information terminal, such as Bluetooth called Internet-enabled PDA (Potable Digital Assistance), at any time, ubiquitous environment has been in place from anywhere. We are studying on the use of information and communication technology new required to achieve a ubiquitous information society. In this paper, we propose a recognition method of moving object car, bike, train and by effectively utilizing the wireless LAN system using an outdoor available 2.4GHz, radio waves 5GHz, for the network command the effectiveness of the recognition methods I have proved by experiments had.

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Recently, lecture slides like PDF documents are distributed at the online in almost all classrooms in universities, medical centers and hospitals by utilizing ICT. In these cases, each student or staff will browse slides and take a note with editor application software like the Microsoft Word. If there is no portable PCs or smartphones, we must print out PDF data on papers and take a memo on the papers, but the handwritten information on papers may be not reuse later. That situation is the unfortunate case of ICT utilization. In this article, we describe development and utilization of a lecture support system. Our study's aim is to simplify managing data for all students and teachers. Since generally PDF slides are actually read-only, we have implemented a web system of automatically rebuilding new PDF documents which has text-input-fields to edit notes. Also we added to the system one more function which rebuild new layout with several templates of notes. Therefore, students are able to download and use writable PDF documents suitable for themselves.

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We rewrote the famous Bayes' theory into quantum Bayes' Form. In order to practice that process, all of classical probabilities were necessary that they were reinterpreted into operators, state vectors, probability amplitude, and expectation values. The difference between classical version and quantum form was whether interference's term exists or not. Quantum Bayes' form had the additional term Re(Int). At junctions, all of pure states were mixed. Some attenuated states were generated instead of all pure states at junction. In neurons, examples of those areas meant neuro-synaptic junctions, ephapse of axons, and endplate of muscles, and so on. Final state vector &setmn;B> had the various information of environmental state at the conditions of the mixed and reduced purities. So, if we would like to obtain the pure state and the other quantities, we needed take a series of mathematical operations as making expectation values

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The purpose of this research presumed the survival rate that used ISS to be a chest injury value evaluation when the wheelchair falls. In AIS of a side fall and a back fall of the wheelchair, a maximum of 2. The survival rate was about 60 percent in side fall. However, it has been clarified that the survival rate rises up to about 100 percent by equipping it with the bicycle helmet.

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Microscopic simulation of deformation after hitting onto one point of the skull is important to understand how the shock wave propagate in the skull. We have done a simulation of one dimensional elastic model. This time we report two dimensional elastic model, which is more complex compared with the previous calculations. On the other hand, the experiment of backwards falling down has been done in JARI. On the basis of the sets of the data, micro movement of the center in the brain and deformation of the skull is calculated precisely. As a result, the whole picture of the falling and hitting and also micro deformation of the skull becomes clear. In order to understand these data, we adopt a model of a elastic material, and simulate the deformation and energy transformation, which shows how the shock wave propagate inside the material after hitting.

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In our previous studies, we investigated the friction which acts on a rigid body during falling before colliding with a floor. In the next step, we want to know how the normal force behaves during falling. As is well known, the maximum static friction depends on the normal force. Therefore, it is important to know the behavior of the normal force for the purpose of researching how the friction acts on the rigid rod. After this study will be completed,, we will investigate what condition will give rise to sliding or floating in falling.

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Steps are one of the main factors that have an effect on the physical strain of wheelchair helpers and the safety of wheelchair users. In this study, we examined the relationship between the movement of the rear wheels of the wheelchair during the navigation of steps and we examined the relationship between the movement of the rear wheels of the wheelchair during the navigation of steps, and the physical strain of helpers and user's riding comfort. Although the maximum height that the rear wheels were lifted was controlled according to the step height, the distance driven during lifting rear wheels was not related to the step height. Helper's physical strain increased with the distance driven while rear wheels were lifted. When we analyzed the correlation coefficients among indexes for the rear-wheel locomotion, distance between rear wheels and step just before lifting had significant positive correlation with the distance driven while rear wheels were lifted. These findings suggest that the distance between the rear wheels and step just before lifting can be used as an operation index in the development of preferred techniques for lifting the rear wheels and thereby relieving the physical strain of helpers.

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The present study considers a fuzzy color system in which three membership functions are constructed on a color triangle. This system can process a fuzzy input to a color triangle system and output the center of gravity of three weights associated with respective grades. Three fuzzy sets (red, green, and blue) are applied to the color triangle relationship. By treating the attributes of redness, greenness, and blueness on the color triangle, a target color can be easily obtained as the center of gravity of the output fuzzy set. In the present paper, 0% triangle is consisted of the lines of 0% redness, 0% greenness, and 0% blueness of the attributes. The colors on 0% triangle map into the right corner of tone triangle (on C or near C). As compare the inference results for fuzzy inputs with those for crisp inputs, move to W (white region). The input-output relationship is shown by redness and chromaticness. The inference outputs for crisp inputs and for fuzzy inputs are roughly similar in this case. However at 0% triangle inference outputs are obviously different. Those for crisp inputs show vertically linear.

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Recently, small unsaturation color lights have come into general use for signal lights owing to diffusion and development of LED and fluorescent substances. However, brightness of those lights has not been clarified in previous studies. The influence of the condition that it is difficult to distinguish the color, such as a point light source and in peripheral visual field, is not sufficiently considered. Therefore, this study examined the influence of retinal eccentricity and color purity on B/L ratio for blinking point light sources. The results suggest that the B/L ratio differs from conventional data even in the fovea. They also show that a saturated blue light is superior as a signal light considering a retinal eccentricity.

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The improvement of the accessibility is important in all the people to be able to use the Internet. As the visual elements are very important factors in the Internet, in our previous study, the visibilities of young adults, the elderly and dichromatic vision persons were evaluated on white and black backgrounds using the simulation filters. Moreover, we suggested the expression for visibility prediction by the multiple regression analysis using brightness and color difference which was derived from RGB value. In this report, the integrated evaluation was performed based on the visibility prediction results of white and black backgrounds. As the results, the visibility level has been clearly classified according to brightness and color difference. For details, when brightness and color difference were the following range, it was shown that visibility of web-safe colors was judged high. If brightness (L) is L<152.7, color difference (E) is E&le;65.8L-9593, if brightness is 152.7&le;L&le;153.0, color difference is E&le;16.0L-1989 and if brightness is L&ge;153.0, color difference is E&le;8.77L-883.1.

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