Indoor Messaging System (IMES) is a seamless positioning technology in the indoor and outdoor environment, IMES signal transmitter in indoor environment broadcasts the location information instead of the GPS navigation message. A positioning system of IMES is the range-free positioning system. However, it was not easy to construct the range-free positioning system of IMES. This paper attempts to use a 1/2λ whip antenna instead of an RHCP patch antenna. Moreover, a transmission diversity method is also proposed to mitigate the influence of multipath interference. A transmitter based on this method is developed and experimentally evaluated in a practical setup The experimental results show that the proposed method can improve the availability of the cell of the IMES signal service area. These findings contribute further to development of a practical IMES transmitter and receiver.
The authors propose the transmission system which uses the CAZAC equalizer in order to reduce the PAPR and enhance power added efficiency (PAE) of the transmitter PA. In this paper, we firstly show that the proposed CAZAC-OFDM signal have the same PAPR as single carrier signals theoretically, then we discuss about the spectrum design, the frame structure design and the synchronization issues assuming a WiFi-based wireless system in which the CAZAC equalizer is used. Finally, we show the effectiveness of the proposed CAZAC equalizer by computer simulations. It is confirmed that the proposed receiver performs well under both AWGN channels and fading channels. It is also demonstrated that the proposed CAZAC-OFDM shows much better BER than the conventional OFDM under the frequency selective fading channels. It may be caused by some kind of frequency diversity gain obtained inclusively in the CAZAC-OFDM.
People sensing occurs everywhere, in the Internet of Things (IoT). Cameras are being increasingly used because they provide inexpensive and effective sensing devices. However, the camera acquires the information that identifies an individual, there is a problem that the privacy of the person is invaded. Furthermore, since home appliances are increasingly being connected to the Internet via the IoT, it has become possible for user images to leak out unintentionally. With these concerns in mind, we propose a face detection method that protects user privacy by using intentionally blurred images. In this method, the presence of a human being is determined by dividing an image into several regions and then calculating the heart rate detected in each region. In our performance evaluation, the proposed method showed dominant performance results when compared with an existing face detection method, and was confirmed to be an effective method for detecting faces in both normal and blurred images. We confirmed the influence of the performance in the proposed method when changing the sharpness of the images. The proposed method also showed high accuracy position detection performance results. Furthermore, we confirmed the effectiveness of the proposed method in near-infrared images and distorted images.
Endothelial dysfunction is known to be the early stage of arteriosclerosis. The flow-mediated dilation (FMD) test is the most commonly used method to diagnose the endothelial function. The test measures the maximum vasodilation (FMD response) on the brachial artery induced by the increases in blood flow after cuff deflation on the forearm. The vessel diameter must be captured clearly with the ultrasonic probe during the test. The vasodilation is induced in response to changes in the mechanical property of the vessel wall due to the blood flow stimulation. The changes are supposed to affect the pulsatile flow, but the influence of continuous behavior of vascular property on hemodynamics has not been clarified. In this study, in order to clarify the influence of the FMD response on hemodynamics, we propose a mathematical model that can simulate hemodynamics and vasomotor responses. As a result, it was shown that vessel wall dynamics affected the pulsatile flow. This result suggests that the endothelial function can be evaluated from blood flow.
The number of bullying recognition at school is increasing every year, and it is a very serious problem in Japan. It is said that the cause of bullying is attributed to the fact that students have independent values in groups and they interact in a complicated way. In this research, we added some special agents into the agent-based model of bullying, and verified what behavioral characteristics are most effective in suppressing bullying by using multi-agent simulation. As a result, it was found that the behavioral characteristic “take the tuning action to an agent with a small number of selected values when the number of bullying candidates exceeds the threshold value, and take the tuning action to an agent who is a bullying candidate when the number of bullying candidates is less than or equal to the threshold value” of special agents is most effective in suppressing bullying.
In this paper, we describe the implementation and evaluation of a non-contact type of propagation system, which is an essential element of the communication function of people and robots, which is indispensable for the reality of our proposed Community-centric-Systems. We implemented this algorithm on JavaVM, which is the most portable, realized real-time performance and got the possibility of deploying the algorithm on robot system. In addition, in preparation for future expansion, we got the guideline of the improvement to the communication UI by bottleneck analysis.
Oral habits are tongue protrusion in malocclusions, causing deterioration of oral functions necessary for feeding, chewing, swallowing, and vocalization. In order to realize a non-invasive measurement of the habits, we propose and experiment acoustic feature analysis to discriminate tongue habits. Compared to normal speech, tongue-protruded speech is pronounced between the frontal teeth. Therefore, the speech is emphasized at a wide-range band of frequency components due to turbulence, as can be heard in the pronunciation of consonants. In this paper, we confirm these differences in acoustic features, such as zero-crossing which can capture the characteristics of voiced and unvoiced sounds and Mel Frequency Cepstrum Coefficient (MFCC) which is a filter bank analysis for front-end processing at speech recognition. We collect samples for that focus on the differences in oral habits of subjects, and significant of acoustic features which measured from the samples are confirmed. Finally, tongue habit discrimination using k-nearest neighbor algorithm (k-NN) achieved discrimination rate of about 85 to 98% on the databases.
In this paper, I will discuss about (1.1)The way of the protections of intellectual property what was created by a computer such as AI, (1.2)Examples of mismatch between the progress of information technology and the copyright act, and (2)Legal responsibility for damage caused by conclusion guided by computer program such as robot car.
And I suggest expanding of no-fault liability doctrine.
This study propose an approach for detecting the steering oscillations caused by delayed steering response in a human driver in normal driving (routine) scenarios. The delayed steering response is a result of inadequate cognitive load on distracted or cognitively overloaded drivers. The proposed approach is based on real-time thresholding of the power spectrum magnitude of a Fourier-transformed signal, which is obtained from the lateral acceleration of a car. However, even if the power spectrum magnitude of inattentive driving is higher than that of fully attentive driving in the same driving scenario because of steering oscillations, it varies significantly when the driving scenario changes. Inattentive driving along straightaways yields anomalously lower power spectrum values than those obtained from attentive driving when cornering. Therefore, it would be unfeasible to employ a single threshold to detect steering oscillations across all driving situations. Hence, we propose using the absolute value of the lateral jerking motion of a car as an indication that the car is entering or exiting a corner. The experimental results indicated that adaptive thresholding of the power spectrum of lateral acceleration facilitates the detection of driver-induced steering oscillation with an overall accuracy of 88%.
A controller reduction technique is presented for unstable systems via structurally balanced truncation (SBT) based on coprime factorization. Coprime factorization of the full order controller is utilized to preserve the characteristics of the closed loop system including the reduced order controller, in spite of unstable poles of the system. SBT is introduced as a substitute for balanced truncation to reduce the norm error of closed-loop transfer function. Numerical study of balanced truncation and SBT with coprime factorization illustrates the feasibility of the proposed technique for a flexible beam example with poles at the origin.
In this letter, a design method for transmission line resonator loaded with capacitors is proposed, and its design formulas are derived. Numerical examples show that the proposed resonator is much smaller than the conventional half-wavelength transmission line resonator, and has significantly improved stopband characteristics.
As far as we know, it is for the first time that the simultaneous QAM conversion of CATV multi-channel signals for the identical broadcast information could be executed by using electrical mixers. The QAM conversion system is assumed to be used for the emergency broadcast and local commercial on CATV multi-channel. The constellation diagrams for 16QAM and 64QAM were successfully obtained by the following experiments.