Volume 1, Issue 2, September 2020
1.Modeling and Simulation of Molecular Artificial Intelligence with DNA computing by using Abstract Rewriting System on Multisets
1.Modeling and Simulation of Molecular Artificial Intelligence with DNA computing
by using Abstract Rewriting System on Multisets
Yasuhiro Suzuki
Pages 55-58
Abstract
We have bio-chemically realized Artificial Intelligence by using DNAreactions, which is composed of a well-known as oscillating DNA reactions,
the seesaw gate reaction. Through biochemical experiments, we confirm that
mismatched interact-able DNA sequences can adapt to perturbations of environmental
change, which is caused by making point mutation in an input sequence.
Based on this result, we model this reaction by using abstract chemistry
and confirm that the model exhibits the same behavior as biochemical experiments.
Through computational simulations show that this DNA reaction can compose
the logic gate bio-chemically.
Keywords:Molecular Artificial Intelligence, DNA computing, bio-chemical logic gate,
the seesaw gate reaction
DOI
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2.Facial Expression Synthesis System Using Speech Synthesis and Vowel Recognition
Taro Asada, Ruka Adachi, Syuhei Takada, Yasunari Yoshitomi, Masayoshi Tabuse
Pages 59-63
Abstract
Herein, we report on the development of a system for agent facial expression
generation that uses vowel recognition when generating synthesized speech.
The speech is recognized using the Julius high-performance, two-pass largevocabulary
continuous speech recognition decoder software system, after which the
agent’s facial expression is synthesized using preset parameters that depend
on each vowel. The agent was created using MikuMikuDanceAgent (MMDAgent),
which is a freeware animation program that allows users to create and animate
movies with agents.
Keywords: MMDAgent, Speech recognition, Vowel recognition, Speech synthesis
DOI
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3.Design of a low pulse high current series topology for EDM system
Yu-Kai Chen, Min-Feng Lee, Yung-ChunWu, Chau-Chung Songa, Jui-Yang Chiu
Pages 64-69
Abstract
The design of the LLC resonant converter is presented for use in Electric
discharge machining (EDM) applications. The converter is designed to operate
with a 3phase ac input voltage and will output controlled dc voltages during
thestriking and arc conditions of EDM process. The method of the LLC resonant
converter can operate at zero voltage and zero current transitions, we
change the output current and control the current waveform of the EDM.
Keywords: Electric discharge machining (EDM), LLC, Resonant converter, Frequency
control, Sic-MOSFET
DOI
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4.An FSK based industrial analog signal transmission
Po-Yun Shih, Chung-Wen Hung, Chau-Chung Song
Pages 70-74
Abstract
An FSK (Frequency-Shift Keying) based industrial analog signal transmission
is proposed inthis paper. Due to the advantage of digital transmission,
such as noise immunity and error check, the digital transmission is more
and more popular. The FSK is a simple kind of basic digital transmission.
Although the analog signal modulation is already well-known and mature,
but it is easily interfered by the noise, especially in an industrial environment.
When the carried frequency is occupied, the alternative frequency is necessary.
However, it is a tough work for sure. The FSK based wireless transmissionis
used to perform a wireless transmission of analog signal in the industry.
It also has good effects of removing the wiring from device to device,
and breaks the restriction of the device movement. Experimental results
show that the proposed method can work well, and the wireless transmission
bandwidth achieves 16kHz.
Keywords: FSK, Wireless, Industrial communication, Active filter
DOI
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5.Design of an embedded humanoid soccer robot based on image processing
Yuheng Zhang, Yizhun Peng, Lianchen Zhao, Zhou Zhang, Wanlong Peng
Pages 75-79
Abstract
As a humanoid robot, the humanoid soccer robot integrates artificial intelligence
with competitive sports skillfully. It is an intelligent control system
which integrates mechanical structure, computer, circuit design, automatic
control,decision-making, communication, and other technologies. In recent
years, it is a very good research platform in the field of artificial intelligence
and robots. This paper designs a humanoid soccer robot based on STM32 processor,
and completes the theoretical analysis and experimental verification, the
specific work is as follows:Through theoretical analysis and experimental
verification, the stability,working parameters and the division and cooperation
of STM32 and 51 series single-chip computers of humanoid soccer robot system
are analyzed, and determine the final control scheme. STM32 drives the
camera to collect information, process images and make decisions. STC12C5A60S2
controls the robot steering gear to complete the corresponding action.
Serial communication is used between the two controllers. The peripheral
circuit mainly includesOV7725 camera module and TFT-LCD LCD display module.In
order to recognize and approach soccer by humanoid soccer robot and kick
soccer into the goal, we should design the action programs such as straight
walking, left turning,right turning, head scanning course, left translating,
right translating and kicking. Reasonable images processing and decision
algorithms are also designed. Finally, the control program is developed
on Keil software platform for debugging. The experimental results show
that the humanoid soccer robot designed in this paper can accurately identify
the soccer ball and the goal, and accurately complete the kicking actions,
which meets the relevant requirements of the expected design and scheme.
Keywords: Humanoid robot; Dual controller; erial communication; Images processing
DOI
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6.A Design of Polyurethane-Material-based Film Forming Rate Measuring Instrument
Fengzhi Dai, Jichao Zhao
Pages 80-84
Abstract
The polyurethane materials have been widely used in the field of antibacterial,
medical, waterproof and moisture permeable. Therefore, this paper mainly
studies on the determination of the film formation rate of polyurethane,
and designs a film formation rate measuring instrument based on the Atmega328P
single chip microcomputer and BH1750 light intensity measurement chip.
This design compares the advantages and disadvantages of the currently
widely used film formation rate measuring instrument and improves its multiple
sensors into a high-precision main sensor. Measurement requirements are
reduced, and the size of the instrument is also reduced, making it easier
and more portable. Moreover, it can be used not only to measure the film
formation rate of polyurethane, but also to determine the film formation
rate of other materials.
Keywords: Measurement instrument; Film formation rate; ATmega328P; BH1750
DOI
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7.Interactive Projection Mapping using Human Detection by Machine Learning
Makoto Sakamoto, Takahiro Shinoda, Kenji Sakoma, Takahiro Ishizu, Amane
Takei, Takao Ito
Pages 85-89
Abstract
In recent years, “Entertainment Computing” (EC) has attracted attention
and has become one of the major industries in Japan. “Projection Mapping”
is well known in this EC. Projection mapping is a video technology that
creates a new space by synthesizing space and video using a projector.
Among them, many people are fascinated by works that create a fantastic
world by combining dancer performance and projection mapping. However,
these works require the performer to accurately align with the coordinates
of the image objects in the projection mapping, which is not easy for everyone.
In this study, we aim to entertain not only the people who see the projection
mapping but also performers. Therefore, we have prototyped an interactive
projection mapping that changes according to user movement. This time,
we focused on sports and projected the ball to the user to experience baseball
pitching and soccer lifting. Furthermore, we conducteda questionnaire survey
to evaluate the sense of use of this system, and the results showed that
many people can enjoy by this projection mapping.
Keywords: Entertainment Computing, EC, Projection Mapping, Kinect
DOI
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8.Research on online detection of wafer surface defects
Xiaoyan Chen, Chundong Zhao, Dongyang Zhang, Jianyong Chen, Kuifeng Zhu,
Yanjie Su
Pages 90-94
Abstract
With the development of integrated electronic circuit manufacturing technology,
enterprises have put forward higher requirements for the quality of silicon
chips. Aiming at the low efficiency of silicon wafer defect detection,
this paper proposes an automatic defect detection method based on machine
vision. The voiding algorithm based on flood fill can effectively extract
the inner contour information of the wafer profile. A rotation correction
algorithm is proposed to correct the wafer yaw angle. The actual wafer
was used to verify the performance of the proposed method. The results
show that the proposed method is effective in detection accuracy.
Keywords: machine vision, flood fill, defect detection, rotation correction
DOI
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9.Effectiveness of Data Augmentation in Pointer-Generator Model
Tomohito Ouchi, Masayoshi Tabuse
Pages 95-99
Abstract
We propose a new data augmentation method in automatic summarization system,
especially the Pointer-Generator model.A large corpus is required to create
an automatic summarization system using deep learning. However, in thefield
of natural language processing, especially in the field of automatic summarization,
there are not many data sets that are sufficient to train automatic summarization
system.Therefore, we propose a new method of data augmentation. We use
the Pointer-Generator model. First, we determine the importance of each
sentence in an article using topic model.In order to augment the data,
we remove the least important sentence from an input article and use it
as a new article.We examine the effectiveness of our proposed data augmentation
method in automatic summarization system.
Keywords: automatic summarization, data augmentation, Pointer-Generator Model.
DOI
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10.Development of an Autonomous Mobile Robot Doing Self-Position Estimation
and Road Region Search
Naokazu Iwata, Joo Kooi Tan
Pages 100-104
Abstract
This paper proposes an autonomous mobile robot expected to realize an intelligent
robot that supports a human life. The proposed mobile robot has three main
functions; self-position estimation, road region estimation, and routeplanning.
Self-position estimation is performed by comparing local features obtained
from the frontal images captured by the robot to a knowledge base. In road
region estimation, the frontal image is separated into several regions
to findthe region where the robot can move. Furthermore, the route to the
destination is planned by graph search. Experimental results show satisfactory
performance of the proposed mobile robot.
Keywords:Autonomous Mobile Robot, ORB, BoF, GBS, K-means
DOI
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