In order to meet the automatic management of greenhouses in agricultural modernization, this paper proposes a circuit system for greenhouse environment regulation. For greenhouses, maintaining the stability of the growth environment of crops is an important requirement. In order to properly control the greenhouse environment, low-cost single-chip microcomputers and some sensors can be used to complete this work well. The system can obtain the current environmental data in the greenhouse through the DHT11 sensor and the light sensor, and send control instructions to the relay through the single-chip microcomputer to control the external equipment to adjust the relevant environmental parameters in the greenhouse to maintain the stability of the environment.

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The efficiency and safety of the Internet of Things (IoT) have always been the focus of the development of IoT devices. Because the chips used in IoT devices generally have poor computing power, they cannot transmit data quickly and in large amounts, and use more complex security algorithms. Therefore, this thesis is to develop an IoT module with STM32 chip as the main controller. This module uses MQ Telemetry Transport (MQTT)[1] Protocol and AES encryption technology, and this IoT module can be operated directly with a browser. MQTT is a communication protocol for the IoT, which was developed by IBM and Eurotech, and officially became an OASIS international standard in 2014. The purpose of development is to send and receive processing messages under narrow bandwidth and low energy consumption conditions. To ensure the security of IoT communications, we use AES encryption technology. Through this design, the communication of the entire IoT module is more efficient and safe. In addition, whether in household or industrial applications, it is very complicated to establish a monitoring system. Therefore, we build a SCADA system based on MQTT technology and through simple drag-and-drop operations. In the future, we will continue to improve related software and hardware so that this IoT module can be used in different fields. The connection and monitoring of the entire IoT can be applied in more fields.

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This study aimed to examine the psychological approach from a narrative viewpoint and discuss the expanding collaboration with artificial intelligence and robots. The methodology adopted was literature review followed by theoretical examination. It was ascertained that psychological narratology has expanded beyond the so-called narrative therapy. Additionally, artificial intelligence and robot applications were identified in the clinical domain. This proves to be an implication of the extension of psychological narratology.

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Constructing a food dataset is time and effort consuming due to the requirement for covering the feature variations of food samples. Additionally, a large dataset is needed for training neural networks. Generative adversarial networks (GANs) are a recently developed technique to learn deep representations without extensively annotated training data. They can be used in several applications, including generating food datasets. This paper advocates the use of Cycle-GAN to generate a large pseudo-realistic food dataset based on a large number of simulated images and a small number of real images in comparison to traditional techniques. A single depth camera in three different angles and a turntable are arranged to capture real RGB-D images of food samples. 3D modeling software is used to generate simulated images using the same configuration of captured real images. Results showed that Cycle-GAN realistic style transfer on simulated food objects is achievable, and that it can be an efficient tool to minimize real image capturing efforts.

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There are still some improvements in target detection of high-resolution optical remote sensing images. In this paper, deep learning algorithm is used to detect the target in remote sensing image. Improve and optimize the deep learning target detection algorithm. The concepts of multi-scale feature fusion, feature pyramid and residual network are explained. By improving yolov3 algorithm, the detection effect of aircraft and ship in DOTA data set is significantly improved.

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A welcome guests and explain robot was designed to solve the problems such as fewer interpreters in museums and other venues, and large demand for audience consultation. The robot consists of a mechanical system, a sensor system, and a motion control system. In order to improve the efficiency of development and debugging, and reduce the cost of experiments, it is necessary to test related algorithms in a virtual simulation environment before the robot enters the actual working state. Experiments have proved that the robot can autonomously guide guests to the destination and explain according to a preset path; the robot has multiple sensors to sense obstacles, and can autonomously avoid obstacles during the explanation and continue to move; the robot can accurately and efficiently recognize faces and provide accurate services Fast.

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We have been studying an expression of the taste of Japanese sake. Actually, the descriptions of the taste can be regarded as stories. Accordingly, we conducted a special experiment, where we asked participants to draw descriptions of the taste of the Japanese sakes, create catch copies, and to design labels of them for the younger generation. From the results of the experiment, we will analyse the relationship between taste and narratology and the role of narratology in Japanese sake marketing.

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The 6R robot can imitate the human arm to complete some target grabbing tasks, so the kinematics analysis of the robot is significant in scientific research and practical application. In this paper, a kinematics solution method of 6R robot based on analytic method is introduced, which is faster and more accurate in solution than the numerical method. Then the trajectory of the end effector is planned by using the quintic polynomial method,in this way, there are no sudden changes in the speed of the end effector of the robot, and the operation is more stable.Furthermore, the accuracy of the kinematics solution method is verified and the motion trajectory of the manipulator is simulated by Matlab. At last ,the visualization of the robot kinematics model was realized based on the Simulink, and the kinematics simulation control system was established.

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Set theory is based on the distinguishability of elements. How to recognize and identify the world is the essence of set theory. If each element cannot be identified, all the elements are one set. So the set does not make sense. The Heart Sutra is highly rational and can be interpreted mathematically. The mathematical interpretation of the Heart Sutra shows the divergence of how to discriminate. Based on this world view of Heart Sutra, we propose Inter-Induce computation, IIC as a novel calculation paradigm that does not depend on set theory. This paper gives an overview and philosophical foundation of IIC.

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Tourism has the effect of healing the minds of tourists in a different environment. Tourists will also be delighted by the rare lands and excited by the magnificent architecture and nature. On the other hand, tourism will be a big business for local people, which can be expected to revitalize the area and increase the number of residents. In recent years, rural areas have been declining due to the concentration of work in cities and the declining birthrate and aging population. Along with this, there are many towns and villages that are merged or abandoned. Against this background, the number of local governments that are trying to regain the vibrancy of the past by focusing on the tourism industry is increasing year by year. As part of this, we took Takachiho Town as an example to see if we could contribute to more effective tourism PR by incorporating Information and Communication Technology (ICT) such as Computer Graphics (CG) into introductory videos such as Promotion Video (PV) and commercials.

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