Towards an intelligent CAD system for multilayer electromagnetic absorber design

The primary program principles and techniques of the development of integrated CAD software for detailed design of steel Industrial plant structures, including the frame work, hierarchic data structure, 3D modeling algorithm and automatic generation of 2D drawings and CNC data, are introduced. An intelligent modeling system for detailed design is developed. In the modeling system, a 3D solid model can be easily constructed. Moreover, structure properties and design requirements are integrated into the intelligent model. Therefore, details of the structure can be designed automatically and edited visually according to design knowledge, and 2D drawings and CNC data can be generated automatically.

In this paper, an intelligent CAD system which is applied to the scheme design of machining center (MC) has been developed successfully. The key techniques of the intelligent CAD system, such as the system structure, scheme design knowledge representation, building and classifying function modules and imported data structures are described in detail. An example of the scheme design for a drilling MC is given.

Towards the design of intelligent CAD systems: An ontological approach

LC-CAD: A CAD system for life cycle design

A new design methodology for the design of arbitrary analogue functional blocks (op amps, comparators . . .) is presented. The method combines symbolic simulation, numerical optimization and knowledge-based techniques and covers the whole design path from analytic modeling over optimal circuit sizing down to layout. This path is repeatedly passed through on different hierarchical levels for higher-level blocks. The main advantage of the new CAD system is that it is not limited to a fixed set of circuit topologies. It can automatically design any new circuit by the introduction of artificial intelligence techniques: building block recognition, design equation manipulation, self-learning capabilities. . . These features make it an intelligent and flexible analogue design system. >

With the development of the times and the increasing mobility of the population, the situation of public environmental safety is becoming more and more serious. So an intelligent video monitoring system is designed in order to better carry out constantly effective monitoring for the public environment. In this paper, the IT Company DM8168 as the core of hardware designs an intelligent video surveillance system to realize the function of video capture, encoding, transmission, storage and so on. Besides, it will carry out motion detection in the aspect of intelligence. The main tasks can be completed as follows, first, architecture and front-end network camera hardware design of intelligent video system requires single-stream network. Second, the design of intelligent video system software, which is to complete the overall software design flow chart. Clients using the media player on the PC front-end network camera based on Davinci platform development. Third, algorithm design of intelligent software system is to study of the moving object detection algorithm and provide the algorithm effect diagram.

Artificial nerve network (Ann) algorithm has been developing rapidly for many years and has made great contributions to solving real model problems. BP nerve network algorithm has made great breakthrough in many economic fields and made great contribution to the design of intelligent mental pension system. Under the background of BP nerve network algorithm, it is a huge deal to strengthen the design of intelligent mental endowment system. The design of the intelligent mental endowment system is to solve the problem that the information of the decentralized management system of the traditional mental nursing home is isolated and the mental endowment service facilities cannot meet the needs of real-time nursing. The system unites the superiority of RFID technology and video linkage monitoring to monitor the condition of the elderly in real time, and children can know their parents’ health status at any time. This article studies the concept and related knowledge on account of BP nerve network algorithm, explains a series of viewpoints and theories of intelligent mental pension system design on account of BP nerve network algorithm. In this text, the data test, on account of BP nerve network algorithm of intelligent mental pension system design research, test results show that the design of intelligent mental pension system on account of BP nerve network algorithm in system management efficiency, avoiding target deviation rate, model parameter optimization rate and adaptability reached 83.30%, 90.14%, etc. 92.85% and 98.28%.

The Graph Model of Combinatory Logic (Engeler, 1981) is also a mathematical model for "how does the brain think". It attempts to explain how complex scripts of behavior and conceptual content can reside in, combine, and interact on large neural networks (Engeler 2019). This has an impact on building intelligent systems that interact with humans. Intelligent systems should employ the same kind of concepts humans do; otherwise, their actions remain incomprehensible and erratic to human users, concepts can be represented in the Graph Model by using the "Lambda-Theorem" found be Barendregt in 1977.Both the Graph Model and the mathematical model for the human brain have been published as part of Theoretical Computer Science and remain thus out of the reach of normal AI engineers. Nevertheless, they suggest solutions for today's problems with Intelligent Systems, such as autonomous vehicles mastering the traffic in Palermo, or robots caring for people and working together with them. Intelligent Systems need to adhere to concepts quite similar to humans that follow certain rules in their behavior.The paper explains what a “Concept” is in AI, how to state requirements for AI, and how to test them. Intelligent Systems using concepts behave similar to humans, following rules but are still able to break the rules when need arises, and can be certified for safety and security; solving certain difficulties for Learning Machines that can learn and unlearn.ReferencesH. P. Barendregt, "The Type-Free Lambda-Calculus," in Handbook of Math. Logic, vol. 90, J. Barwise, Ed., Amsterdam, North Holland, 1977, pp. 1091 -1132.E. Engeler, "Algebras and Combinators," Algebra Universalis, vol. 13, pp. 389-392, 1981. E. Engeler, "Neural algebra on "How does the brain think?"," Theoretical Computer Science, vol. 777, pp. 296-307, 2019. T. M. Fehlmann, Autonomous Real-time Testing – Testing Artificial Intelligence and Other Complex Systems, Berlin, Germany: Logos Press, 2020. H. Curry and R. Feys, Combinatory Logic, Vol. I, Amsterdam: North-Holland, 1958. K. Bimbó, Combinatory Logic - Pure, Applied and Typed, Boca Raton, FL: CRC Press, 2012.

Agricultural hob-type cutter has the characteristics of multiple parameters, high rotation speed, heavy load, and high precision, the design process is complex and the design task is heavy. To solve this problem, an intelligence design system is developed based on knowledge engineering, parametric design, and model reuse technology. The intelligence design system consists of a user interface module, a knowledge base module, a simulation base module, a case base module, a reasoning decision module, a simulation test module, a three-dimensional modeling module, and an engineering drawing module. By making full use of the existing model instances, the parametric design method is used to reconstruct the cutter model under the customized parameters to realize the automation of the design process. Using this intelligence design system, the cutter model and drawings can be automatically generated. Especially, the method of automatic simulation performance tests to optimize design parameters improves the design level and reduces the errors caused by manual reasons. Therefore, it can improve the product development efficiency and market competitiveness of agricultural equipment enterprises.

An intelligent design system was created that efficiently uses a magnetic force to assist in the discharge of the dregs from the electrode gap during electrochemical finishing of cylindrical surfaces. In the current experiment, the author used a cylinder-shape electrode supplied with a continuous and pulsed direct current in the electrochemical finishing. This study used Taguchi's Method to analyze the combination of optimal parameters. The experimental parameters use four factors and three levels to measure the surface roughness of the magnetic-assistance in the electrochemical finishing. These four factors include electric current density, magnetic strength, distance between the two magnets, and rotational speed. For the design system, a high electric current density coupled with electromagnetic-assistance reduces the finishing time and mitigates the issues associated with dreg discharge. A small distance between two electromagnets or a large electromagnetic field produces a larger electromagnetic force enhancing the dreg discharge and subsequently improves the finish. A small tool-electrode diameter enhances electromagnetic-assisted electrochemical finishing. The average effect of the magnetic assistance was greater than the pulsed current while the machining time did not need to be prolonged by the off-time.

In this research, a methodology is discussed to develop an intelligent system for optimal geometric design for the culinary product. An optimum geometric design meets certain specified criteria in the most efficient or cost‐effective way possible. The criterion for an optimum design will depend on the specific goals and constraints of the specific problem. In this methodology, partial differential equation and weighted Bonferroni mean are consolidated to develop the intelligent system for optimal geometric designs for the required product with the blend of fuzzy soft sets. Fuzzy soft sets allow capturing the incorporation of subjective or personal opinions into decision‐making processes, as well as the consideration of multiple conflicting criteria. A parameter known as the smoothness parameter is used to control the shape of the optimal geometric model. The smoothness parameter, used as a fuzzy number, is important in this developed system as it fulfills the requirements for the desired intelligent system for product design according to the industries’ demands. To verify the credibility of this system, an illustrated example is presented to design a culinary product, which is profitable for the hotel industry.

Designer®—Intelligent expert system for intelligent manufacturing systems design

In order to achieve intelligent control of electrical equipment and save electricity, in this paper, we design an intelligent power terminal system based on family heterogeneous networks. Firstly, it exploits the function of intelligent power terminal system for protocol design, which is compatible with WirelessHART protocol, PLC communication and Ethernet communication. Then the hardware and software design of the system are described in detail. Finally, we verify the effectiveness of the proposed scheme through the simulations.

An infinite grating of coated PEC cylinders is illuminated by a normally incident electromagnetic wave. The formulated boundary value problem is solved rigorously with the use of coordinate translation formulas and the reflected/transmitted fields are readily determined. The conditions for perfect absorption are derived and the error quantities expressing how well are these conditions fulfilled are evaluated. The variations of the errors are represented with respect to the dimension and material parameters of the configuration and certain minima are detected.

This article introduces design and architectural patterns useful in intelligent systems engineering. Patterns are represented using class, collaboration, and sequence diagrams from the unified modeling language (UML) specialized relative to various components and subsystems of an intelligent system (IS). An IS pattern is seen an entity that is vaguely defined relative to structural and functional features of an intelligent system. The basic approach in this research is to design and build robotic devices that embody IS patterns and to reverse engineer existing robotic or living systems using IS patterns either singularly or in networks as classifiers (i.e., where a feature set embodied in an IS pattern matches to a degree features of a subsystem of an existing system such as a Cephalopod (e.g., octopus)). The application of IS patterns is illustrated in the reverse engineering of a life form that has pattern recognition capabilities (e.g., identifying the location of cached food by Nucifraga columbiana (Clark's nutcracker)).