Advanced Materials Research Vol. 644 | Scientific.Net (2025)

Abstract: The measurement and control system of an intelligent living room environment is introduced in this paper, which takes single-chip microcomputer STC89C52 as the core chip. The system uses the intelligent digital temperature and humidity materials SHT11 and light sensitive resistor to realize the detections of living room temperature, relative humidity and light intensity level with automatic control, in order to improve the living room comfort level. It's function reliable, simply constructed, and can achieve the automatic adjustment of living room environment parameters.

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Abstract: Intelligent materials had been widely used in many fields such as medical, civil construction and aerospace fields, but in agricultural field, there were little applications reported. At present, general PDA equipments could not meet the requirements of data collection as the weakness such as GPS signals were poor, didn’t possessed dusk, shockproof, waterproof ability, these problems would be solved easily if these equipments were made based on intelligent materials. In this paper, the basic concept, function and application of intelligent materials were introduced, some key problems such as knowledge base, reasoning machine were explained, at last, the application prospect of intelligent materials were analyzed.

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Abstract: The system used the sensor technology, the intelligent materials and wireless communication technology to achieve intelligent security and defense systems. It finished the remote monitoring for home appliances. The master STC12C5A60S2 SCM takes charge of the work of various sensors. The intelligent materials are embedded in the facilities can adapt to the environment and feel. Once an electric equipment is abnormal, they can diagnose the problems, adjust the equipments or send text messages or call of the situation to the owner automatically. He/She can make appropriate and timely protective measures. In addition, the owner can view the images in the camera acquisition for the home by his/her phone. It should be applied widely.

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Abstract: This paper presents a new method for traffic sign recognition in Intelligent Transport System,which base on low-rank approximation and support vector machine (SVM),the method including traffic signs correction and SVM identification.first we extraction traffic sign region and internal texture,according to the characteristics of internal texture,combine with the spare and low-rank approximation,to correct the texture automatically ,next to extract the feature vectors of traffic signs texture,finally identification in the database.The experimental results show: the method base on low-rank approximation can corrected the deformation traffic signs effectively and accurately,improve the recognition rate of the SVM,it has good feasibility and real-time.

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Abstract: The article represents the design of new type intelligent High potential therapeutic apparatus, using Atmega1280 as controller. High potential therapeutic apparatus is a kind of potential therapeutic apparatus exerting negative high voltage electric field around the body, which is curative for shoulder pain, headache, insomnia, chronic constipation. The design reduces voltage from 220V ac to 110V ac and constitutes different circuits with relays. To get different treatment waveform, inductances of various value is used in different circuits. Generate appropriate treatment voltage with the transformer booster. In order to achieve various values of treatment voltage, circuit connects to various primary coils of local treatment transformer and systemic transformer. Simultaneously, compose the corresponding control software. Finally achieve the hardware and software design of the high potential therapeutic apparatus. Results of experiment show that a new high potential therapeutic apparatus is successfully designed. Local treatment mode and systemic treatment mode are can produce the treatment effect of the obvious through actual testing and using.

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Abstract: Nowadays, with the significant application of remote sensing satellite in military and civil use, how to intelligentize space devices and materials has become a huge challenge. Traditional retrieval methods usually focus on the optical properties of the devices and materials and lack in semantic description. Therefore, a semantic-based query method of remote sensing data is proposed in this paper. With the ontology, the intelligent mechanism is used to infer complex interrelationships among the data. Inference results then are put forward to prove that our approach is effective.

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Abstract: In this article, we studied Ferroalloy Smelting process, we made use of AOD furnace to smell Ferroalloy. For AOD furnace high temperature, and more dust, AOD furnace mechanism model nonlinear, and uncertainty, and strong coupled features, Aiming at these features we designed argon oxygen refining ferroally’s end_point forecast and end_point control tactics which based on online detection. Then we constructed end_point forecast model and end_point control model according to the tactics. We selected Jilin Ferroalloy 5 tons AOD furnace 50 sets of measured data,then trained and assessed the established forecast model with measured data, through MATLAB simulation obtained better of forecast results.

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Abstract: Taking Tengchong area in Yunnan Province as a study area and ASTER and ETM remote sensing images as research object, authors selected the proper method for the study area by Comparing the results of the Land Surface Material Temperature Inversion. The result shows that the ETM inversion method is more precise than the ASTER method. Both methods can meet the demand of temperature classification.

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Abstract: In recoil mechanisms applications, the adjustability of Magnetorheological (MR) damper is desired to be used to provide the optimal damping force. In this paper, the adaptive control system of MR dampers subject to impact loading was studied. Genaral design scheme of the MR recoil damping control system was promoted to achieve good recoil dynamics. For adaptive control, an expected referrence model with better performance was induced and the controller parameters was able to be adjusted realtime by adaptive laws, which were deduced based on Lyapunov stability theory and excuted by the adaptive machine. Finally experimental verifications were done with comparison of three control methods: PI control, adaptive control and the fixed current. The results indicated that, of the three control methods, the adaptive control were the most effective

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