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Tsunoda M.,Kindai University | Kamei Y.,Kyushu University | Sawada A.,Nanzan University
2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering, SANER 2016 | Year: 2016

We have investigated through several experiments the differences in the fault-prone module prediction accuracy caused by the differences in the constituent code clone metrics of the prediction model. In the previous studies, they use one or more code clone metrics as independent variables to build an accurate prediction model. While they often use the clone detection method proposed by Kamiya et al. to calculate these metrics, the effect of the detection method on the prediction accuracy is not clear. In the experiment, we built prediction models using a dataset collected from an open source software project. The result suggests that the prediction accuracy is improved, when clone metrics derived from the various clone detection tool are used. © 2016 IEEE.


Taniguchi Y.,Kindai University | Nishii K.,Kindai University | Hisamatsu H.,Osaka Electro-Communication University
Proceedings - 7th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2015 | Year: 2015

In the case of cycling at a blind road, at night or cycling by elderly people, it is helpful to prevent accidents if information on bad road surface condition, such as break, potholes, obstacles, bumps, is preliminary obtained. In this paper, we consider to use a low-cost ultrasonic distance sensor attached on a bicycle for monitoring the road surface conditions in the front area. We design and implement a road surface condition monitoring system using an off-the-shelf node Arduino, an ultrasonic distance sensor, and a typical bicycle. In the implemented system, to limit the sensing region, the ultrasonic distance sensor is covered by a plastic shield plate. Through experimental evaluations, we show that the monitoring system can detect the 223 cm away obstacle on road in the front area of moving bicycle. © 2015 IEEE.


Kometani T.,Kindai University | Takemori K.,Kindai University
Nippon Shokuhin Kagaku Kogaku Kaishi | Year: 2016

Persimmon is well known to be a polyphenol-rich fruit. The polyphenol fraction (PPfr) was obtained from persimmon fruits using a novel method, and its effect on postprandial blood glucose levels in rats and humans was examined. PPfr contained 20% carbohydrate and 70% polyphenol which consisted of epicatechin: epicatechin gallate: epigallocatechin: epigallocatechin gallate at a ratio of 1:1:3:2. In vitro studies revealed that lowering effect of PPfr on blood glucose after carbohydrate ingestion was attributable to the inhibition of digestive enzymes, such as alpha-amylase and maltase, as well as the inhibition of glucose absorption through the digestive tract. Following the administration of 3g PPfr to 10 healthy human volunteers with 150 kcal maltose, postprandial blood glucose was significantly lowered compared with placebo. These results suggest that PPfr from persimmon fruits was useful for blood glucose control and the primary preventionofdiabetes. Copyright © 2016, Japanese Society for Food Science and Technology.


Taniguchi Y.,Kindai University
Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014 | Year: 2014

In time division multiple access (TDMA) based wireless networks, graph coloring based link scheduling mechanisms are often considered to assign time slots to links. A graph coloring based link scheduling mechanism requires a radio interference estimation method to make a conflict graph from a wireless network topology, and the protocol method is usually used among radio interference estimation methods. In this paper, we propose a radio interference estimation method for wireless relay networks, where the network topology is a tree. Through simulation experiments, we show that the accuracy of radio interference estimation with our proposed method is improved compared to that with the protocol method. © 2014 IEEE.


Azumi Y.,Nihon System Sekkei Inc. | Murakami M.,Kindai University
Journal of Structural and Construction Engineering | Year: 2016

Most formulae to calculate the shear stiffness of a sheathed shear wall are derived under the assumption of rigid frames connected with pins. But the flexural and axial deformation of vertical studs affects the shear stiffness of a shear wall. A few other conventional formulae to calculate the shear stiffness of a sheathed shear wall consider only the effect of the flexural deformation of vertical studs. Since there is no calculation method of the shear stiffness considering the effect of the flexural and the axial deformation of vertical studs, numerical analyses are conducted. In this paper, we derive simplified formulae based on the principle of minimum potential energy. The formulae are verified by numerical static elasticity analyses.


Asano K.,Kindai University
Materials Transactions | Year: 2016

Turning machinability of aluminum alloy composites reinforced with carbon fibers was examined using a carbide tool. Pitch-based short carbon fiber was used as the reinforcement. The composites were fabricated by squeeze casting. Optical microscopy revealed that the fibers were randomly arranged in the alloy matrix. The fiber reinforcement decreased the hardness of the alloy. The fiber reinforcement also decreased the cutting resistance of the aluminum alloy, and the resistance values of the composite was lower than that of a composite reinforced with short alumina fibers. The roughness of the machined surface was significantly decreased by the fiber reinforcement under every cutting condition. No carbide tool wear was observed even if the composite underwent a machining of 2 km, whereas the tool wear was clearly observed for the alumina fiber-reinforced composite. These results indicated that the carbon fibers in the alloy act as a solid lubricant. Chips formed by machining the composite were powdery, whereas the chips formed by machining the unreinforced aluminum alloy was long. ©2016 The Japan Institute of Metals and Materials.


Handa H.,Kindai University
International Journal of Advancements in Computing Technology | Year: 2012

In this paper, we constitute 1-ply Othello agents by using Evolutionary Algorithms. By using Temporal learning method, firstly, we introduce Memetic Algorithm, i.e., hybridization of EA with local search method. Secondly, we examine Evolutionary Multi-Objective Optimization to improve the performance of EAs. In addition, we propose two kinds of modified Temporal Difference Learning methods for EMO. Experimental results show the effectiveness of the proposed method.


Sakai H.,Kindai University
The Dynamics of Vehicles on Roads and Tracks - Proceedings of the 24th Symposium of the International Association for Vehicle System Dynamics, IAVSD 2015 | Year: 2016

When drivers are drowsy, sleeping, or the like, steering maneuvers stop momentarily. Focusing on this phenomenon, this paper describes a system to detect this momentary reduction in driving ability. First, the proposed system identifies some regular driver model parameters. Utilizing this model, the system estimates the driver-vehicle system behavior. As soon as a difference between the estimated and actual behavior is detected, the system judges that driving ability has decreased. This system was then verified empirically. © 2016 Taylor & Francis Group, London.


Sakai H.,Kindai University
The Dynamics of Vehicles on Roads and Tracks - Proceedings of the 24th Symposium of the International Association for Vehicle System Dynamics, IAVSD 2015 | Year: 2016

This paper first analyzes the influence of pitching motion caused by rolling motion based on the driver’s feeling in actual vehicle testing. Itwas concluded that pitching motion enhances the cornering feeling of the driver, and this result was then utilized to develop a control law for an automotive semi-active suspension that synchronizes the rolling angle with the pitching angle. The law was further applied to an automotive damping force control system. Finally, this research validated that the control law enhances the cornering feeling of the driver through tests of actual vehicles installed with the system. © 2016 Taylor & Francis Group, London.


PubMed | Kindai University
Type: Journal Article | Journal: Biological & pharmaceutical bulletin | Year: 2017

The rodents exposed to repeated cold stress according to a specific schedule, known as specific alternation of rhythm in temperature (SART), exhibit autonomic imbalance, and is now used as an experimental model of fibromyalgia. To explore the susceptibility of SART-stressed animals to novel acute stress, we tested whether exposure of mice to SART stress for 1 week alters the extent of acute restraint stress-induced hyperthermia. Mice were subjected to 7-d SART stress sessions; i.e., the mice were alternately exposed to 24 and 4C at 1-h intervals during the daytime (09:00-16:00) and kept at 4C overnight (16:00-09:00). SART-stressed and unstressed mice were exposed to acute restraint stress for 20-60min, during which rectal temperature was monitored. Serum corticosterone levels were measured before and after 60-min exposure to restraint stress. SART stress itself did not alter the body temperature or serum corticosterone levels in mice. Acute restraint stress increased the body temperature and serum corticosterone levels, both responses being greater in SART-stressed mice than unstressed mice. The enhanced hyperthermic responses to acute restraint stress in SART-stressed mice were significantly attenuated by SR59230A, a

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