A smartphone-based safety device is a critical measure in this world where crime incidence keeps on heightening, especially against women. This research study describes the design and development of a Women's Safe...
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Smart parking systems leverage advanced technologies to optimize parking space utilization and enhance user experience. This research paper explores the design, implementation, and evaluation of a smart parking system...
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Due to large project size of hydropower engineering, construction quality inspection is normally conducted by overseeing, with supplementary monitoring and data evaluation when available. With the rapid advancement of...
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Due to large project size of hydropower engineering, construction quality inspection is normally conducted by overseeing, with supplementary monitoring and data evaluation when available. With the rapid advancement of artificial intelligence in recent years, intelligent technology has been increasingly applied in the practice of engineering construction and inspection. To improve the efficiency and intelligence of construction quality inspection, an intelligent bi-directional verification system based on algorithms, such as ZoeDepth and EDTER, was developed. First, a virtual field of the physical world is generated using the depth estimation approach. Image processing techniques, such as image object recognition and object delineation identification, are used to establish the location, position and posture of actual objects in images as well as measure their dimensions. Second, object-to-object matching is accomplished by aligning the engineeringdesign in BIM models with the objects identified in the images. As a result, image processing models can be calibrated for intelligent object recognition. Object dimensions can then be measured in the virtual field. Corresponding object design information can be retrieved from the BIM model for construction quality examination. Finally, an inspection report is automatically generated and can be synchronized to a comprehensive engineering management platform, when network communication is available. Based on the aforementioned technical framework, a single-person intelligent inspection wearable was developed and tested for technical evaluation. The results indicated that the proposed algorithms can quickly identify construction objects for in-situ comparison with the design in BIM models and the device satisfies the requirement of being simple to wear and operated by one person when perform the engineering inspection.
In order to develop a control system for variable rate application of organic fertilizer and evaluate its performance, the system including an on-board terminal, an execution unit, a control unit, and a detection unit...
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Neural-Network (NN) based compensation is a thoroughly investigated topic in automatic control. However, these approaches include the neural network inside the control loop. This paper proposes an alternative approach...
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ISBN:
(纸本)9781665476331
Neural-Network (NN) based compensation is a thoroughly investigated topic in automatic control. However, these approaches include the neural network inside the control loop. This paper proposes an alternative approach where the NN is external to the loop, making decisions on the parameters of a linear compensator in cascade with a plant to be controlled with a feedback system. The proposed model utilizes the adept sequence transduction capabilities of the Transformer architecture. This approach is used to design a discrete controller of any order to maximize available performance. This paper applies this method to simple plants without extreme dynamics and a plant with non-minimum phase and very high quality factor modes.
The proceedings contain 91 papers. The topics discussed include: sign language detection to enhance online communication for deaf and mute individuals through deep learning models;non-small cell lung cancer classifica...
ISBN:
(纸本)9798350368802
The proceedings contain 91 papers. The topics discussed include: sign language detection to enhance online communication for deaf and mute individuals through deep learning models;non-small cell lung cancer classification using densely connected neural network;design of two-way Indonesian sign language system based on smart-glove with artificial neural network classification method;smart wheelchair control based on spatial features of hand gesture;an enhanced approach for defect detection: implementing CNN algorithm and identifying catastrophic forgetting;design and implementation of a machine learning-based system for atrial fibrillation diagnosis;sensor placement strategy for contaminant detection in water distribution network using greedy algorithm and local search technique;and toileting expression detection system for children with disabilities based on feature extraction using support vector machine.
The proceedings contain 104 papers. The topics discussed include: intelligent street lamp control system based on LSTM and Bayesian optimization;digital intelligent pharmacy system;design of double layer rotatable sma...
ISBN:
(纸本)9781510666238
The proceedings contain 104 papers. The topics discussed include: intelligent street lamp control system based on LSTM and Bayesian optimization;digital intelligent pharmacy system;design of double layer rotatable smart garage system;an architecture design of intelligent task planning system for precision strike ammunition;cloud-based monitoring and controlling system for the growth environment of multi-variety vegetable plant factories;noncontact vital signs detection system with high dynamic adjustment range for vehicle occupants;production and operation decision support system of manufacturing enterprise based on data warehouse;application of digital monitoring system for pile drivers in airport construction;and research on the transformation of unmanned automatic control production system in offshore oil and gas fields during typhoon.
This work aims to study, design, and build an autonomous robotic chess system. It can recognize, record, and examine the players movements and process the collected data to choose the best possible move. It works manu...
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In order to carry out the concept of green development and respond to the construction of digital China, it is imperative to transform the energy industry into digital intelligent development. The power grid infrastru...
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ISBN:
(纸本)9798400707032
In order to carry out the concept of green development and respond to the construction of digital China, it is imperative to transform the energy industry into digital intelligent development. The power grid infrastructure project is regional and complex, and the traditional information architecture is difficult to support its data management and value realization, the application of multi-source and visual data analysis combining with power grid infrastructure engineering data, geological data, meteorological data and so on is developing gradually. The research of power grid infrastructure business management platform based on data layer analysis method, firstly analyzes the power grid infrastructure business demand, then carries out the applicationdesign and the construction function, finally carries on the example study. It realizes the unified structured management and visual display of various types of power grid infrastructure resources, breaks the data barriers, makes the heterogeneous data get fusion analysis and application, releases the value of power grid data elements and helps new power systems construct and develop.
Social systems theory is a research method of social work perspective. The theory emphasizes changing circumstances rather than psychological content. Based on ecosystem theory, this paper uses the perspective of comm...
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