From the construction process, building construction is a highly professional and complex project. The traditional 2 D(Two-Dimensional) graphic design method is difficult to accurately control the BIM data which serio...
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The aim of the study is computermodeling and solving the linear programming problem to intensify the use of limited resources. The research used methods of system analysis, mathematical modeling and programming. The ...
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The ergonomics of the central control system of household automobile cab has a great influence on the operation of automobile. In order to better evaluate the ergonomics of the central control system of automobile cab...
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ISBN:
(纸本)9783031357404;9783031357411
The ergonomics of the central control system of household automobile cab has a great influence on the operation of automobile. In order to better evaluate the ergonomics of the central control system of automobile cab, the ergonomics evaluation index system of automobile cab is studied. 5 drivers were selected to evaluate 4 models;According to the composition of the cab, the ergonomics evaluation index system of the central control system was divided into 4 first-level indexes and 22 second-level indexes, and then the evaluation and quantitative research were carried out. An ergonomic evaluation method based on entropy method was proposed. The evaluation information of each index was collected by Likert scale and combined with entropy method to obtain the objective factor weights, which provided a reference method for comparing the advantages and disadvantages of different design schemes and models, and explored the ergonomic indexes and weight distribution affecting the central control system of automobile cab. At the same time, it can also find the index that the driver has higher requirements for ergonomic design in the vehicle central control system, as well as the optimal ergonomic model.
The building comfort ventilation system of the IoT uses the Internet of Things (IoT) technology to realize intelligent ventilation, automatically adjust ventilation equipment, and provide a comfortable and healthy ind...
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computer Organization and Design is a pivotal course for learning an instruction set architecture (ISA), the microarchitecture which implements it, and determining a system's overall performance. However, many con...
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ISBN:
(纸本)9798350330656;9798350330649
computer Organization and Design is a pivotal course for learning an instruction set architecture (ISA), the microarchitecture which implements it, and determining a system's overall performance. However, many concepts in this course have been found daunting to understand. To illustrate those concepts, an interactive desktop application is being developed using the Unity game engine for the purpose of enhancing student learning. This tool covers material that is traditionally covered in the course and adds security concepts to make students aware of the security issues associated with micro-architecture.
This manuscript introduces a new English customized distance education teaching method based on computer network technology. This manuscript first discusses the theory of distance teaching in English classroom based o...
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This topic focuses on the implementation effect of lidar technology in the early warning system of substation cranes and its potential value. While deeply exploring the operating mechanism, technical attributes and ap...
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Aiming at solving the problems of high latency, data transmission bandwidth limitation and privacy security faced by traditional object detection methods in the Internet of Things, a cloud-edge collaborative system fo...
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ISBN:
(纸本)9798350349184;9798350349191
Aiming at solving the problems of high latency, data transmission bandwidth limitation and privacy security faced by traditional object detection methods in the Internet of Things, a cloud-edge collaborative system for object detection based on KubeEdge is proposed. It takes advantage of cloud-edge collaboration technology and edge computing platform to perform tasks on edge devices to achieve faster response times. Firstly, through the deployment of KubeEdge edge computing platform, the cloud edge collaboration function is realized. Then, the object detection model is trained on the cloud server, and the trained model is deployed on the edge device to perform the model inference task. Finally, the edge device transmits the inference results to a cloud server, which stores the results for further analysis. The system has significant advantages in realizing low delay calculation, collaborative assurance, and privacy protection, etc. Taking mask detection as an example, it validated the practicality and reliability of the system, which provides strong support for the application of cloud-edge collaborative technology in the field of object detection and holds significant importance in meeting the growing demands of edge computing.
Talent development is a crucial factor for the development of enterprises and units. This article uses data analysis models and data mining techniques to help enterprises and institutions analyze talent data, discover...
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Expressing basic needs may seem like a simple task, but not for those with deteriorated or lost ability to speak and move. This paper presents the design, application, and testing of an alternative communication syste...
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ISBN:
(纸本)9798350330656;9798350330649
Expressing basic needs may seem like a simple task, but not for those with deteriorated or lost ability to speak and move. This paper presents the design, application, and testing of an alternative communication system based on Brain computer Interface (BCI). The prototype includes six LEDs flickering at different frequencies, and each LED corresponds to one command. Depending on the direction of the gaze of the subject, the neuronal activity pattern in their occipital lobe will be consistent with the targeted LED flickering rate. By recording the electroencephalogram (EEG), and determining the neuronal firing frequency, the system uses Steady State Visual Evoked Potentials (SSVEPs) to convey one of six commands to caregivers. The SSVEP-based system uses an OpenBCI Ganglion 4-channel biosensing board to acquire brain signals and Arduino Uno for system control. Based on preliminary testing on eleven subjects, the overall accuracy of the system was 89%. Accuracy is the percentage at which the system correctly recognized and sent the selected command.
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