◎Yukihiko Kida，Kazuhiko Hamamoto（Tokai University）

In a diagnosis, if doctor project human body on the actual human body, they can grasp the situation easily. However, it is difficult to always prepare an environment for projection. To solve the problem, we developed a see-through system for human body using mobile device. First, the device user sees a human’s face through the rear camera of the mobile device and get the image data from the rear camera. Next, detect the face from the image data in real time, and display a face objects on detected face. At that time, using the API for AR creation, it is possible to fix the position of the object spatially with the three-dimensional coordinates, and the user can see the object on the face freely .

◎Koichiro Gonda（Tokai University）

In these days, virtual reality (VR) is becoming popular. The progress in VR technology is going ahead by leaps and bounds. However, perfect real space isn't realized in VR space. My purpose is to analyze difference of human's space recognition between VR space and Real space from biological signal (EEG), and create perfect real in VR space. The proposed method is to make same experiment environment in VR and real and measure the EEG while the examinee gazing at the cognitive object. Large amount of 4 hertz EEG was detected from area related to space cognitive function.

◎Tsz Ching Wong（Tokyo Institute of Technology），Theerawit Wilaiprasitporn（Vidyasirimedhi Institute of Science and Technology），Tohru Yagi（Tokyo Institute of Technology）

VR technology creates a virtual world that is entirely isolated with the reality. Subjects can be more immerged to the virtual environment than ever before. By presenting visual stimulus in VR, subjects will have better engagement with applications such as games, BCI, etc. Through the comparison of the result of SSVEP experiment using VR HMD and normal monitor, we are aiming to evaluate the effect of VR environment to human cognition quantitatively. In our experiment, we show spatially changing stimulus to subjects in a VR and real space. Our preliminary results indicate that with VR HMD, a more dramatic and clear change in SSVEP response can be obtained comparing with simply using a monitor. The result has shown the potential of applying SSVEP in VR for more accurate applications.

◎Amri M Faizal（Tokyo Institute of Technology），Theerawit Wilaiprasitporn（Vidyasirimedhi Institute of Science and Technology），Tohru Yagi（Tokyo Institute of Technology）

The neural processing caused by flashing image stimulus can be affected by the presence or the absence of audio stimulus. The aim of this research is to provide a correlation between electroencephalography (EEG) signals in the flashing images and auditory stimulus. The designed audio-image stimulus used in this experiment is amplitude-modulated (AM) sound combined with flashing images with certain frequency carrier. The experimental results are evaluated in terms of the effect of sound intensity on the steady-state visual evoked potential (SSVEP). At this moment, three healthy subjects are instructed to look at some stimulus patterns in the experiment. The results seem to have a close relationship with the concentration of the subjects.

◎Xiangqian Du（Tokyo Institute of Technology），Theerawit Wilaiprasitporn（Vidyasirimedhi Institute of Science & Technology），Tohru Yagi（Tokyo Institute of Technology）

It is known that stimuli’s intensity is proportional to the amplitude of Steady State Visual Evoked Potential (SSVEP). We believe that this phenomenon can be applied to brain-computer interface research. For application purpose, this article presents a method to enhance the amplitude change and to analyze time delay caused by the attention switch from low intensity stimulus to high intensity stimulus or from high intensity stimulus to low intensity. Our preliminary results indicated that amplitude of SSVEP obviously changed within 2 seconds after subjects changed their attention.

◎Siti Martina Meliana，Kazuki Imai，Yoshiyuki Kageyama，Motoharu Takao（Tokai University）

Light elicits various emotional responses in human and animal. In rodents, light-dark box is widely used for assessment of anxiety behavior. However, there has not any detailed study on a relation between lighting properties and such behavior so far. We designed special optical paths to control and to mix lighting properties of monochromatic light. Adult mouse was first dark adapted in a dark compartment. It was then allowed to go through the gate connecting to illuminated compartment. Latency from gate opening to mouse transition between dark and light compartment was measured to evaluate the level of anxiety. In this conference, we will introduce our lighting system and the result of mouse anxiety behavior assessment conducted in our designed experiment protocol.

◎Arijal Muhammad，Retdian Nicodimus（Shibaura Institute of Technology）

This work proposes a new topology of CMOS active rectifier which provide a high efficiency across a wide input voltage range. Power supply in NFC system is the target of the proposed active rectifier. Simulation results show that the proposed active rectifier keeps the power conversion efficiency higher than 67% for an input voltage range from 1.15 to 3V using high-voltage device model of 0.18um CMOS process parameters.

◎Afifah Khilda，Retdian Nicodimus（Shibaura Institute of Technology），Takeshi Shima（Kanagawa University）

This work evaluates the effect of charge leakage in N-path filters. The charge leakage due to finite off-resistance of the switches is analyzed for different operating frequency. The analysis results are verified using simulation with spectreRF. Simulation results show that the effect of charge leakage is more significant in low operation frequencies.

◎Taro Mishiro，Akira Hyogo，Tatsuji Matsuura，Ryo Kishida（Tokyo University of Science）

Successive-approximation A/D converter (SAR-ADC) compares input voltages with the voltages made by a DAC composed of capacitor arrays. SAR-ADC does not use OP-amps. Therefore, it has the advantages of low-power consumption and suitability to fine processes. However, the linearity of the ADC decreases when the fabricated binary weighted capacitors have mismatches.This study proposes to calibrate SAR-ADC using output digital codes. It is possible to improve accuracy by estimating the actual bit weight (changed due to capacitor mismatches), and by correcting the digital output using the actual bit weight. As a result, conventional SAR-ADC with capacitor mismatches has large quantization error, whereas the proposed calibrated ADC has less quantization error which varies within about ±1/2LSB.

◎Yunyi Gong，Yoshitsugu Otomo，Hajime Igarashi（Hokkaido University）

This paper presents three dimensional topology optimization of the magnetic core for a wireless power transfer (WPT) system based on Normalization Gaussian network On/Off method. In this optimization, the shaped expressed by the linear combination of the Normalization Gaussian functions is optimized so as to improve the coupling coefficient of the WPT device. It is shown that the optimized device outperforms the conventional one with respect to the coupling efficiency.

◎Nao Onji，Takanori Kurano，Masaaki Fukuhara（Tokai University）

A data matching search might be to use a Hamming distance detector using a neuron CMOS inverter. In order to solve the problem of the through current, the conventional detector with two control signals to reduce the through current is reported. In this paper, the authors study to reduce the through current of the detector by shifting the timing of the control signal of the start data coincidence operation to the timing of the control signal of the current mirror circuit by HSPICE simulation.

◎Masaki Akiyama，Masatoshi Kozui，Kazushige Koiwai，Toru Yamamoto（Hiroshima University），Koji Ueda，Koji Yamashita，Yoichiro Yamazaki（KOBELCO Construction Machinery）

In the industrial field, there are some equipment needed human operations with experiences to exert the high efficiency. In the case of the hydraulic excavator, skilled operators can operate the attachment smoothly, and acquire high productivity of work. However, unskilled operators are difficult to obtain higher productivity because of unstable and rough operations. The difference of the attachment motion are expressed as the center of mass, called CoM. Motion of CoM by skilled operators are more stable than unskilled one.In this paper, a design of controller based on the velocity of CoM is proposed. As a control method, a PID controller for a multi-input multi-output system tuned by FRIT is used. The effectivity of the proposed method is verified numerically.

◎Kazuhiro Iwata，Akira Ono（National Institute of Technology, Kagawa College）

In this research, we examined whether we could estimate the position of a transmission source by using the Bluetooth beacon with Eddystone sent by a smartphone. In our experiment, free-space attenuation and soil attenuation of the beacon were measured. From the experimental results, when field intensity more than -80dB was obtained, the source was within 5m in the free space and within 0.5m in soil-depth. Therefore, this method showed the possibility that was effective for victims search.

◎Punsapch Bumrungwong，Hiroshi Ishii（Tokai University）

We have proposed a method that can reduce the energy consumption of battery-driven nodes over MANET by modifying location aided greedy forwarding protocol based on considering information of three-hop away nodes. The proposed approach determines the suitable path to make sure the path that be chosen will consume as low energy as possible. It, however, handles the cases where the any node does not move. Hence, this paper, based on the above proposal, proposes the addition of the mechanism considering the moving direction and the speed of the neighbor nodes. Then, we compare our approach with existing algorithms through computer simulation and analysis. The simulation results show that our approach can achieve lower energy even in cases considering node mobility.

◎Shun Nishimaki，Kenji Suyama（Tokyo Denki University）

In this research, a sound source separation method using complex weighted sum circuits is studied. In this method, the sound source separation is carried out by forming a peak to the target sound direction and forming a null to the interference sound direction. However, when the null is formed to just one direction, the spatial suppression interval is narrow and thus it is difficult to suppress the interference sound sufficiently. Therefore, in the method, multiple complex weighted sum circuits are used, and the suppression interval is expanded. The effectiveness of the proposed method is shown by real environment experiments.

◎Prajna Upadhyaya（Tokyo Institute of Technology），Muralidhar G. Bairy（Manipal Institute of Technology），Tohru Yagi（Tokyo Institute of Technology）

Epilepsy is a neurological disorder that occurs due to the abnormal electrical discharges in the brain thus affecting the patient’s personality, behavior and day to day routine. Epilepsy can be broadly classified in to generalized epilepsy and focal epilepsy. Focal epilepsy occurs due to abnormal electrical discharges in the smaller section of the brain. These electrical discharges later spread to the larger part of the brain resulting in generalized epilepsy. In this paper, a computer-aided diagnostic system is proposed to detect the focal epilepsy using Electroencephalogram (EEG) signals. It also provides a comparative study on the results obtained using two decomposition techniques namely: Discrete Wavelet Transform (DWT) and Wavelet Packet Decomposition (WPD).

◎Hongran Wang，Kenichi Tamura，Junichi Tsuchiya，Keiichiro Yasuda（Tokyo Metropolitan University）

In this paper, we propose a superior solution set search problem as an optimization problem to simultaneously find multiple excellent solutions in multimodal functions. We interpret the metaheuristics strategy (i.e., diversification and intensification) of the superior solution set search problem and clarify the effects of parameters on the cluster search dynamics of FA in terms of the metaheuristics strategy. After the above analysis, we propose an Adaptive FA that preliminarily performs parameter adjustment according to set target value schedule, evaluate indicators of diversification and intensification for the superior solution set search problem, and verify their usefulness by conducting a numerical experiment using three typical benchmark functions.

◎Ryu Fukushima，Kenichi Tamura，Junichi Tsuchiya，Keiichiro Yasuda（Tokyo Metropolitan University）

The superior solution set search problem contains parameters that provide constraints on evaluation value and distance. However, an optimization method for the superior solution set search problem explicitly incorporating these parameters has not yet been proposed.Therefore, in this paper, we propose an evaluation indicator that is inspired by a method based on a dominance relationships in multi-objective optimization problems and includes the aforementioned parameters. We also propose a search method based on this indicator and perform numerical experiments on unique superior solution set search problems. The proposed method finds more superior solutions than the conventional single-objective optimization method, which confirms its usefulness.

◎Yuta Obinata，Kenichi Tamura，Junichi Tsuchiya，Keiichiro Yasuda（Tokyo Metropolitan University）

In this paper, we focus on the idea of integrally designing problems/methods/distances in metaheuristics for combinatorial optimization problems. As a practical example of the above idea, we reconstruct and propose a single point optimization method previously proposed by the authors. The above idea is important in combinatorial optimization, where it is necessary to consider the distance according to each problem, and the idea is particularly important for methods that use distance for the movement strategy. We report that, based on the above idea, when considering the distance, the proposed method has better search performance than the previous method in the flow shop scheduling problem.

◎Osuke Matsui（Chiba University），Takashi Okamoto（SENSY），Seiichi Koakutsu，Tomoyoshi Shimobaba，Tomoyoshi Ito（Chiba University）

In general, practical problems are complicated. A methodology of the machine learning by neural networks with a large number of layers is called deep learning. The superior capability of deep learning for practical problems is shown because of its higher level representation. However, learning problems cause a learning plateau.Previous researches have indicated the effectiveness of pre-training method. Pre-training obtains a good feature that is emblematic of a problem and initial value.This study proposes a pre-training method in parallel with fine-tuning by denoising autoencoder that is used corrupted input. The effectiveness of the proposed method is confirmed through computation experiments in which learning problems with corrupted data are used.

◎Widyaning Chandramitasari，Bobby Kurniawan，Shigeru Fujimura（Waseda University）

Electricity has a main role in development of standard living of society. Since electricity energy is difficult to store, it is better to have the good energy management system in power supply company. Electricity consumption forecasting helps the power supply company to keep the balance of electricity supply and demand. In this work, we proposed combination of deep neural network model to forecast the electricity consumption in manufacturing company. We forecasted the electricity consumption for the next day using combination of Stacked Long Short-Term Memory (SLSTM) and Feed-Forward Neural Network (FNN). To show the performance, we compared the experimental result of proposed method with normal LSTM. We evaluated the performance by calculating the Root Mean Squared Error (RMSE) score.

◎Polnapath Payuhaworakulchai，Shigeru Fujimura（Waseda University）

The one-dimensional cutting stock problem (1DCSP) is one of the problems occurred in many industries such as metal industry. The definition of 1DCSP is to cut one-dimensional longer objects into shorter items to satisfy the demand which minimize trim-loss. If leftover that is cut off from the objects is longer than threshold and could be used again in the future, it is called usable leftover (UL). By concerning this situation into the constraints, this cutting problem is called 1DCSP with usable leftovers (1DCSPUL). On the other hand, maintaining UL also creates another problem when the UL generated are more than UL usage. This causes high level of amount of UL in the stock which grants higher inventory cost. The main objective is to consider UL in the stock as one of the main constraint.

◎Ryosuke Tachi，Hisashi Tamaki（Kobe University）

A weighting parameter method is known as one solution to the Multi-Objective Optimization problem. In this method, Pareto optimal solutions can be generated iteratively by changing weighting parameters. In this research, as a reverse procedure, a method of identifying the range of the weight parameters. Based on the basic idea of the simplex method, the range of the weighting parameter of each objective function is estimated when the target problem is represented by a mathematical programming problem, so that the obtained solution should correspond to the preferred one by an operator.

◎Takumi Ohkubo，Hisashi Tamaki（Kobe University），Akihisa Horio，Takaaki Imoto，Toyohiro Umeda（Kobe Steel）

近年，ジョブショップなどの多段階プロセスの生産管理において，生産管理を柔軟かつ汎用的にする単純かつ分散した順序ぎめの方針が望まれている.本稿では，生産性と納期遵守性のバランスを反映した方策を新たに導入し，候補ジョブの優先度を算出する方法を提案する.いくつかの計算例を通して，提案された方法の妥当性と可能性が確認される。

◎Yuki Iwase，Makoto Ohara（Kobe University），Ittetsu Taniguchi（Osaka University），Takuya Matsumoto（Sohatsu Systems Lab），Kazutoshi Sakakibara（Toyama Prefectural University），Tsuyoshi Nagahiro，Hisashi Tamaki（Kobe University）

In recent years, from the viewpoint of energy consumption reduction and fault tolerance improvement etc. in urban areas, interest in the thermal grid system expected to save energy in the air conditioning system is increasing, so research and development on the form and configuration of the system is active. However, in order to maximize the performance of such a system, realizing effective operation becomes extremely important. Therefore, in this paper, the problem of creating the optimizing operational schedule of the thermal grid system is taken up and the method of implementing two mathematical programming models is shown.In addition, through calculation example, the results of considering the usefulness and the potential of the model are reported.

◎Kunihiko Sakurai，Hiroshi Sano，Hiroshi Ishii（Tokai University）

Several methods of Live Migration (LM) for Virtual Machine (VM) Placement have been proposed. However, existing LM methods do not well consider, such as transfer time and RAM usage of each VM. This paper first proposes to adopt the total amount of RAM usage by VMs as a measure of server load. Then it proposes a method of LM to balance the load of each physical server, which is triggered by total RAM usage by VMs in a physical server and determined by considering the bit transfer time proportional to Round-Trip Delay Time (RTT). We assume that there are several server bases in Japan by using an “on-premise” system structure, and they are connected by the Internet VPN. Finally, we evaluate our method as a primary evaluation, and show that it makes the total processing time shorter.