The problem of low birthrate and aging population continues to advance, and the labor force is seriously short at the construction site. Therefore, if it is possible to introduce a material transport robot, it is expected that the worker's burden can be reduced. In this research, we aim to develop construction robots for materials transportation. In this report, we propose a route plan method for obstacles avoidance by using a range sensor. Simulation results show the effectiveness of the proposed method.

If the power drive unit of the mobile robot is made more compact, the use of the mobile robot is further increased. In a previous study, we proposed a compact omni-directional wheel by incorporating a flat motor and a thin speed reducer in a nested type omni-directional wheel.

In this report, we design the strength of the proposed nested type omni-directional wheel and evaluate the performance of the prototype of the two stage type cycloid drive.

We are developing independent personal care robots for walking disabled people and weak elderly. In this research, a novel personal care robot with 23 degrees of freedom is proposed, and the motion control method based on the introduction of the robot’s mechanical structure is provided firstly. Next, an object recognition method of important daily necessities for personal care is presented. Finally, the proposed motion control method and object recognition method are verified via experiments.

The authors show following two comparisons in high school mathematics education applying fuzzy structure analysis. The first author taught permutation-and-combination unit before the summer vacation, and made a couple of examinations just after his teaching before the summer vacation and just after the vacation. The learning structure after the vacation is different from the learning structure just after learned. There are different flows between items "Circular Permutation" and "Dividing" in learning structures.

It should be interesting to analyze the sequence of nodes in Fuzzy Graph. Nishida et al. proposed One-Sided Connectivity Method. This method considers the sequencing problem based on the α- cut. In general, this ordering structure may be a partially ordered set. We proposed a new method ‘Fuzzy Core Index Method’ based on the fuzzy core value. The advantage of the proposed method is that the sequence of nodes can be analyzed even if the relationship of the analysis object does not satisfy the transition law. In this paper, we would introduce the effectiveness of the proposed method through some simulations and introduce the indicators ‘Maximum Eigenvalue’ that can measure the transitivity of the graph.

The main cause of acute coronary syndrome (ACS) is primarily the formation of thrombi due to the destruction of intravascular plaque in the coronary arteries. The plaque is the accumulation of lipids in the inner membrane of blood vessels. The tissue structure determines fragility of plaque. Therefore, for accurate diagnosis of ACS, the characterization of the tissue of the coronary plaque is very important. In this research, we reclassify the tissue at the target point by using class imbalance of tissues and actual distance between tissues using the neighborhood classification results by SVM. The effectiveness of the proposed method has been verified by comparing the classification results of the proposed method with those of the conventional methods, applying to the real data obtained from the human coronary arteries.

This paper proposes a new method of describing a human motion based on Motion History Image (MHI) representation. MHI representation is a well-known way of describing a motion by a single image, but it cannot deal with a self-occlusive motion in a proper way. This paper focuses on the motion in depth direction and proposes Reverse Descriptive MHI (RD-MHI). The RD-MHI and the original MHI are both employed for motion recognition, since the former well describes the motion toward an observing camera, whereas the latter away from the camera. Experimental results support the combination in human motion recognition.

We proposed a method to calculate recoil of successive particle emissions, which has been neglected in the past studies. This method is adaptable to arbitrary successive particle emissions and is a highly generic method. Furthermore, the energy and momentum of all emitted particles can be determined, and the excitation energy of the remaining nuclei can also be calculated. Therefore, it solves the problem what state is the residual nucleus at the end of this model, which leads to easy introduction of an evaporation model.

As described above, we conclude that the calculation of recoil should be done basically based on conservation laws which exist physically and strictly at any time.

We investigate daily share prices of the Nikkei 225 stock index to identify jump times of the stock index using a jump-diffusion model which consists of the Black-Scholes model with a stochastic volatility and a compound Poisson process. Since the data of daily share prices of the Nikkei 225 stock index are observed at discrete times, it is difficult to find real jump-times from the data. In this paper we consider how to separate jump-times from the observed data. The volatility of the stock index is estimated by the historical volatility from the observation of some daily share prices. We also refer to the number of daily share prices for the historical volatility and show that the number is essential for the accuracy of the identification of jump times.

In this research, we developed a dummy model aiming at predicting injuries during wheelchair collision. A dummy model for collision was created with reference to the female dummy model and collided with the wall, and as a result showed the same behavior as the actual dummy model.

We investigated the relations among age, gender, smoking information, and lifestyle-related disease （hypertension :HT, type 2 diabetes ;DM, hyperlipidemia : HL, body mass index: BMI）in cases with colon cancer(disease cord:060035&060040), using Diagnosis Procedure Combination survey data（DPC data）. The risk factors to affect colon cancer was investigated using a method of decision tree. As a result, HL was extracted as the most significant factor relating to colon cancer. The rate of colon cancer patients without HLwas 2 times higher than the rate of with HL . The second factors was HT. The rate of colon cancer patients with HT was 3 times higher than the rate of without HT. After HL was excluded from an independent variable, the decision was finished. Moreover, colon cancer was divided into 060035 and 060040, then analyzed them under the same conditions. As a result, 060035 was the most strongly related to gender. Furthermore, both men and women were relevant to age. After gender was removed from the items of independent variable, 060035 had relevance to BI and then related to BMI. On the other hand, 060040 was only related to HL. HL was the most strongly related to colon cancer and 060040. However, the related items of 060035 were completely different. For this reason, ｗe consider that it is necessary to analyze colon cancer for each site.

The object is DPC survey data from April, 2014 to September, 2017. In a cancer disease to account for the top of the cause of death, a lifestyle-related disease is related how and have investigated whether it is different between other pneumonia and cerebro-vascular diseases by using the method of decision tree analysis. In the case of a cancer patient, it was rarely accompanied by hyperlipidemia and a smoking index and diabetes has been affected. In cancer patients of the 80-year-old generation from 50 years old without hyperlipidemia, the ratio of cancer patient became higher when it was not high blood pressure for diabetes. On the other hand, for the cerebro-vascular disease, in the case of hyperlipidemia, a ratio of cerebrovascular disorder was high for high blood pressure.

In recent years, the number of patients with chronic kidney disease in Japan has reached 13.3 million (1 in 8 of adults over 20 years old). The disease is said to be a new country illness. The important factors of the chronic kidney disease have been clarified by long-term clinical studies. In this paper, we propose a new methodology to discover important factors inherent to the chronic kidney disease patients consisted by Topological data analysis (TDA) and Layer-wise Relevance Propagation (LRP). To verify the effectiveness of the proposed method, we compared the result obtained by our proposed method with the known important factors by the clinical studies.

Medical treatment cannot avoid the risk like side effects. In general, appropriate dosages and dosing intervals will vary among patients. The most important consideration in administration design is blood drug concentration of the patient, and it is necessary to estimate the concentration beforehand for the administration plan. However, since it is difficult to estimate personal blood drug concentration of patient, it is extremely difficult to precisely decide administration design. Additionally, observed data in pharmacy is value and few. In this study, we construct a Generative Adversarial Network model to generate similar data accurately. The proposed method can help training of Neural Network with small data and compared to models constructed in conventional studies and examined with methods. They are a statistical model and Neural Network model proposed in previous studies. As results, our model outperformed those methods．

Abstract: Spreading of information terminals such as smartphone, tablet-pc and so on, the number of unauthorized accesses has also increased. Under these circumstances, it is necessary to prevent illegal access to servers handling important information. However, the password authentication is generally used as a way to prevent intrusion by unauthorized people, but in case the password is stolen, it can’t prevent spoofing by a third party. Therefore, on the premise of the operation scenes of servers managing important information, we conducted verification tests of continuous personal authentication with keystroke information for the purpose of developing a system for preventing spoofing of users by third parties. In this paper, we verify whether intrusion can be detected and report the result.

Asenapine is approved in Japan as monotherapy and first aid in adults with Schizophrenia. This is the first study to evaluate the gender distinction in the efficacy. I determined and compared the reduction of severity in Schizophrenia using with PANSS especially in males and females. The result indicate that Asenapine has a unique improvement in gender difference in statistical assessment. I would like to do the presentation for you with some consideration.

As the super-aging society progresses, there is concern that the number of patients with musculoskeletal pain increases rapidly. Today, fascia has been drawing attention as an important cause of musculoskeletal pain. We evaluated functional anatomical effects on abnormal fascia by using skin stimulation tool (Somaceptmyo, Toyo Resin Co.Ltd, Shizuoka, Japan) for musculoskeletal pain and limited active and passive range of motion (ROM) caused by abnormal fascia. The participants were 23 (8 males, 15 females) from teens to seventeens who agreed with our study according to the Declaration of Helsinki, who visited an osteopathic clinic. Somaceptmyo was applied to the participants after the functional anatomical evaluation for fascia. As results, visual analogue scale (VAS), Present Pain Intensity (PPI) and questionnaires in Short–Form of McGill Pain Questionnaire (SF-MPQ) were improved (p <0.05). No side effect was confirmed. Somaceptmyo as a skin stimulation tool could be safe to use for musculoskeletal pain and might influence the type of pain caused by abnormal fascia.

In this study, we aimed to improve the quality of life (QOL) for people with severe physically handicapped persons, including the quadriplegic paralysis, who are difficult to move their heads. In order to achieve that, we conducted research to control the operation of the driving simulator by inputting gaze. As a result, it was possible to control the operation of the driving simulator using the gaze direction obtained from the gaze input device.

This paper proposes a new concept of subjective evaluation measurement based on the Visual Analog Scale (VAS). The purpose of this concept is the visualization of the sobering of subjective evaluation. And it is possible that this concept grasps the overall of the subjective evaluation. In order to realize these, this concept consists the following elements; (1)Measurement of subjective evaluation based on VAS, (2)Calculation of descriptive statistics value of the obtained subjective evaluation value, (3)Creating a box-and-whisker plot and (4) Implementation of the cluster analysis (ward method and k-means method). Under the above preparation, we verify the effectiveness of this new concept by actual subjective evaluation experiment.

This paper discusses measurement precision of subjective evaluations based on visual analog scale (VAS). 30 healthy people were invited as the experiment participants. In order to analyze their subjective evaluation for measurement precision of numbers, they were requested to answer the questionnaire on VAS (3 questions). The results showing that values based on their subjective evaluation for numbers have been obtained, and they are shown by using the combination of univariate scatter plots and box-and-whisker plots.

The purpose of this paper is to upgrade the internet addiction tendency scale for high-school students, utilizing visual analog scale (VAS). High-school students (n=355(male=303, female=52)) answered 7 items about “Questionnaires relating to the sending and reception of messages on the internet” and 10items about “Questionnaires relating to the participation attitude to the internet”. The important results of the analysis are as follows: (1) It is showed that there are similar distributions between Q1.1 (I get worried if I receive no response to my message) and Q1.2 (I want to check my cell-phone many times when I send my message). (2) It is showed that there are similar distributions between Q2.5 (Although after midnight, I would continue to use the internet for 1 hour or more) and Q2.6 (My sleep time becomes shorter if my utilization time for the internet is longer). (3) The number of clusters in the “Questionnaires relating to the sending and reception of messages on the internet” is defined as 3. (4) The number of clusters in the “Questionnaires relating to the participation attitude to the internet” is as defined as 2.

A fuzzy autoregressive (AR) model proposed by Yabuuchi are an interval-type AR model. His fuzzy AR model uses fuzzy time-series data. As computations based on fuzzy numbers increase vagueness, an intervaltype AR model may produce unnatural predicted values. This paper solved this problem using a numerical example by two approaches. The first is to change the target of fuzzification from time-series data to autocovariances. The second is to build the interval-type autoregressive model sequentially. As the two approaches solved the problem, this paper considers the results used two approaches.

This paper focuses on an interval-type fuzzy regression model that illustrates the possibility of an analyzed system by including data. In an interval-type fuzzy regression model, it is important that regression outputs illustrate how much the possibilities of an analyzed system. There are some functions to evaluate an interval-type fuzzy regression. However, this paper proposes an evaluation function that can be easily interpreted. It was confirmed that the proposed evaluation function is useful in numerical examples. Then, the results of this consideration are reported in this paper.

We are developing a frailty detection system with the aim of improving the QOL of elderly people. Frailty is the general clinical syndrome of the elderly person, whose death risks is high by various accidents for example, a fall, an accident disorder, hospitalization and so on. In order to determine whether the person isfrail or not, a grip force measuring machine or a walking speed measuring machine are often used, but these detection instruments are independent from each other and not cooperative. We explain a method to construct an efficient detection system by letting these instruments cooperate.

A front and back simultaneous display of the spherical SOM was newly developed. This makes it possible to display very clearly that the phase indication on the back side of the spherical surface was unknown up to now. So that, the phase relation becmomes now clearer. Detailed results of application of the medical health care data and the famous benchmark data are discussed.

Iris data is composed of setosa 50 plants, vergicolor 50 plants, virginica 50 plants, and total 150 ants. This iris data is used as basic benchmark data of cluster classification. However, when analyzingith spherical SOM, misclassification was found at the boundary between vergicolor and viginica. After therection of the misclassification, corrected results were evaluated by the significance method. Theacy of the significance was improved when the corrected results were imvestigated. In other words,t turns out that iris data should be corrected and then used as the reference data.

Kohonen's LVQ (Learning vector quantization) is a method for classification. LVQ does not require a normal distribution of data. On the other hand, the multivariate discriminant analysis method is based on a normal distribution of data, In the case of the classification, where data is not normally distributed, LVQ could have a better accuracy. Parameter setting such as the number of codebook vectors is arbitrary for LVQ. It is an advantage but could be a disadvantage oppositely. In this study, we report the basic properties of LVQ by using model data.

The biological studies have been very common in psychiatry in recent years. For example, NIRS has been used for diagnosis of bipolar disorder with a medical service under health insurance. However, there are many problems in this method. First, there would be no way to know what the phenomenon in biological level means in psychological, psychopathological level. Furthermore, there is an profound problem. That is to say, is it possible that the phenomenon in biological level can be reduced to psychological, psychopathological level? In this paper, we will discuss about the problem and the limitation of this method and the prospect for other approach.

The brain science has developed recently. We know many methods to imaging of not only the shape of the brain but also the function of that. In spite of progress in the research of this field, it has not been able to treat the consciousness successfully. In science, we usually have the assumption that the objects exist independently from our consciousness. However, the consciousness has itself as the object. This situation leads us to some difficulty. Therefore, it is very puzzling to research this field scientifically. In this report, we discuss the possibility of applying the quantum theory to the science of the consciousness compared with general relativity. But our consideration about this issue is only the beginning. We should develop the research of this field.

The World Health Organization (WHO) published new International Classification of Diseases (ICD-11) including East Asia traditional medicine on 18 June 2018. ICD-11 includes the most important Main Meridian Patterns in Acupuncture and Moxibustion medicine. We created a health questionnaire for Meridian vessel patterns identification in 2014 (OHQ M). We compared the healthy questionnaire based on Main meridian patterns of ICD-11 (OHQ-MⅡ) with the OHQ M. As the result, the concordance rate of both question items indicated 71.5%. Furthermore, it was considered that OHQ-MⅡ reduced patient's burden, because the number of the question items in OHQ-MⅡ less than OHQ M.

As the future generation AI after the “Deep Learning”, we proposed a concept of the “Artificial Brain”, which composes the world image gradually and can understand the many kinds of events as the human brain．

Recently, AI technology called deep learning has been attracting attention. Deep learning is a kind of neural network. It is a method of machine learning using a hierarchical neural network with a multi-layer structure. Deep learning has shown great results in pattern recognition. In this study, we consider the classification of Chinese coins using deep learning. There are many types of unearthed coins to be excavated from a ruin. However, the classification of unearthed coins is even difficult task for numismatics experts. The objective of this research is to conduct basic studies into the classification of Chinese coins by deep learning.

The computer vision involves many modeling problems for preventing noise caused by sensing units such as cameras. In order to improve computer vision system performance, a robust modeling technique must be developed for essential models in the system. The RANSAC and least median of squares (LMedS) algorithm have been widely applied in such issues. However, the performance deteriorates as the noise ratio increases and the modeling time for algorithms tends to increase in industrial applications. As a promising technique, we proposed a new fuzzy LMedS method based on reinforcement learning concept for robust modeling. In this study, we investigated selecting strategies as an indispensable concept of reinforcement learning through camera homography experiments. Their results found the proposed ε-roulette strategy to be promising in improving calculation time, model optimality, and robustness in modeling performance.

Growth of the Someiyoshino（Cerasus ×yedoensis Masam.& Suzuki’Someiyosino’ ） has peaked from 40 to 60 years after planting and the trees tend to decline rapidly later and curing such as fertilization at this peak has a remarkable delayed effect of decline of the trees. It is the most important task to grasp the health condition of the trees. We collected the data of cherry trees and old trees of cherry blossoms in parks, schools, riverbanks, etc. in various places, and investigated distribution status and characteristics by using the spherical SOM.

Unlike classical statistical treatment, Tokutaka et al. proposed a significance by SOM based on a new concept that "significance is a magnitude relation between two data class elements". There are several applications of the proposed method by Tokutaka et al., However, since the proposed method is a new concept, it is not yet enough to elucidate basic characteristics.Therefore, We propose a new statistical performance evaluation applying multiple regression analysis to significance by SOM and confirm its effectiveness with benchmark data. Moreover, it is applied to the significance in the fundus image analysis and the validity of the statistical performance evaluation is confirmed from the fundus image data.

This paper describes the relation between relative position of peripheral intravenous catheter in vein and thrombus generation around it. In this study, it is assumed that the contact of catheter on the vein wall causes thrombus formation due to change of flow filed. First of all, the thrombus formation in the vein model, which is made of silicone tube, were observed by CCD camera. It was found that there are some cases of catheter’s contacts to the tube wall when the thrombus occurs. To investigate the flow field of the flow, CFD analysis around the catheter in the infantile vein was done. The results show that there are low shear rate regions, low velocity regions, and long retention time region near the area of catheter’s contact. It was concluded that the relative position of catheter in the vein may cause the thrombus formation due to infant’s motion during drip.

On March 14, 2015, the Hokuriku Shinkansen line started its operation between Nagano and Kanazawa Station. It came to connect Tokyo to Kanazawa in Ishikawa Prefecture in about 2 hours and 30 minutes. Moreover, it was renamed the “Hokuriku Shinkansen” at this time. The approach from the metropolitan area to “Toyama prefecture,” whose charm is nature including Tateyama and Kurobe, and “Ishikawa prefecture,” whose capital Kanazawa is popular for its history and tradition of Kaga-hyakumangoku was greatly improved. In this study, what evaluations the Hokuriku Shinkansen has received by its users for these three years were investigated using online reviews.

According to the White Paper on Tourism for 2017, approximately 24 million foreigners come to Japan for sightseeing in 2016. It can be said that it is just the time of sightseeing right now. Therefore, the necessity for using English, which can be said to be a world common language, has been increased. As a measurement of English communication skills needed on the site, the “Certification for Bilingual Medical Staff” started in 2011. In this study, English sentences in a workbook that follows the “Certification for Bilingual Medical Staff” were investigated to educe the metrical linguistic characteristics. In short, frequency characteristics of character- and word-appearance were examined.

We propose a method for asking the multi-layered representation of the domain of taste. Amongst a lot of aspects or domains of the representations for taste, we pick up the domain of shape and the domain of adjectives. The experiment consists of two parts; the shape choosing part and the adjective choosing part. Multiple-choice or no-choice is allowed in both parts. Studies of taste and shape sensory correspondence (crossmodal correspondences) have proposed experimental methods based on selective expression experimental methods and experimental methods based on generating expressions that make drawing sketches of taste impressions.

The use of cloud computing system, which is the basic technology supporting ICT, is expanding. However, when each sever is connected with much terminals, the server shows low capability compared to being connected with small number of terminals. The limit of capacity of servers for cloud system leads to significant processing time delay. To avoid it, edge computing system for IoT has been proposed. In the edge system, a plural of servers called edges are connected directly or close distance between the server and the terminal (or thing). In the previous paper, we proposed the effective BP learning method for the edge system. In this paper, we propose edge computing systems k-means and Neural Gas method and show the effectiveness of them in some simulations.

In recent years, education quality assurance has been desired in higher education in Japan, and necessity to clarify "learning outcomes" which undergraduate students should learn has been also pointed out. In addition, according to the report of the Central Council for Education of the Ministry of Education, Culture, Sports, Science and Technology in Japan, they recommended to utilize assessment tests, experiential education surveys, rubrics and so on. As to the faculty evaluation, they indicated necessity to consider research and development of evaluation methods, and also discuss ways of dissemination and sharing of expert knowledge on evaluation. In this paper, we shall show some rubrics in calculus classes at university.

Increasing motivation of students in mathematics subject classes is strongly linked to academic achievement, and teachers are required to have educational skills to motivates students. Indeed, modern pedagogy points out that motivation of students themselves has a great influence on learning effect. Also, improvement of student motivation is very important.

In this paper, we would conduct a questionnaire to grasp students' motivation and investigate each factor by using portfolio analysis. Furthermore, we try to extract improvement items and their priorities in the lesson.