Design Of Intelligent System Research Articles

Design of Intelligent Security System for Higher Vocational Colleges Based on Internet of Things

Abstract The increase in Internet of Things (IoT) technologies for security in higher vocational institutions provides new solutions to enhance campus security. The challenges faced by campus security management include break-ins, emergency response, and environmental monitoring. Effective security system design can improve the ability to deal with these challenges and ensure the safety and comfort of students and faculty. In this study, an intelligent security system based on IoT technology is designed to realize dynamic management and real-time response to campus security by integrating advanced face recognition, environmental monitoring and data analysis technologies, thus improving campus security and management efficiency. Haar feature recognition, face detection optimized by Adaboost algorithm, and ecological monitoring technologies are some of the technological approaches introduced in the study. The system design integrates multiple aspects such as video surveillance, environmental parameter monitoring, and data analysis to build an efficient and reliable security monitoring system. In this paper, the system can monitor the campus security situation in real time, the face recognition accuracy rate reaches 95%, and the illegal intrusion detection time is reduced to within 2 seconds, effectively improving the response speed and accuracy of campus security management. This study proves the effectiveness and feasibility of IoT technology in designing campus intelligent security systems, which is of great significance to improve campus security management.

Research on the design and precise monitoring technology of intelligent early warning system for power tower settlement based on multi-dimensional information fusion technology

Abstract Multi-dimensional information fusion technology helps to realize the synergy and complementarity between the information, which provides a guarantee for the settlement monitoring and early warning of electric power pole towers. The settlement monitoring algorithm for electric power pole towers is improved by this paper based on this technology and a settlement warning model is proposed. The traditional PDA algorithm can be enhanced by enhancing the pole tower image acquisition capacity with the wavelet transform algorithm and achieving the fusion and evaluation of multidimensional information through an isolated forest algorithm. The relationship functions of tilt angle, settlement wind speed size and other indicators are established, and the system of super-definite equations is used to solve the correlation coefficients, and the early warning system of pole tower settlement is constructed. The analysis results show that the monitoring results of the monitoring algorithm are fluctuating and stable; the absolute value of the error in the horizontal direction is not more than 9 mm, and the absolute value of the error in the vertical direction is not more than 14 mm. The predicted values of the maximum displacement and stress R 2 are close to 1, and the MAPE is 0.436% and 1.123%, respectively. It indicates that the improved power pole tower settlement monitoring algorithm and early warning system in this paper have satisfactory performance.

Security scheme design of intelligent lighting system based on blockchain

Security scheme design of intelligent lighting system based on blockchain

RETRACTION: Design and Implementation of Intelligent Vehicle Control System Based on Internet of Things and Intelligent Transportation

RETRACTION: Design and Implementation of Intelligent Vehicle Control System Based on Internet of Things and Intelligent Transportation

Research on the Design of Intelligent Recommendation System for Civic and Political Education Content and the Effectiveness Assessment of Students’ Acceptance

Abstract The article improves the traditional collaborative filtering algorithm, integrates it with the content-based recommendation algorithm, proposes the recommendation algorithm based on the mixture of collaborative filtering and content, and serves as the operation logic for designing the intelligent recommendation system of educational content for Civics class. Model variables are determined using structural equation modeling and relevant hypotheses are presented to construct a model of factors that influence student acceptance of the Civics Intelligent Recommendation System, followed by empirical analysis. The mean values of expectation performance, effort performance, social influence, convenience conditions, self-efficacy, perceived pleasantness, and willingness to use are 3.48, 2.70, 3.61, 2.36, 3.77, 3.84, and 3.73, respectively. Students’ use of the Civic Intelligent Recommendation System is greatly influenced by their perception of pleasantness and self-efficacy. The questionnaire has good reliability and validity in general. The initial model has valid hypotheses H1, H2, H6, H7, H8, H9, H10, and H11. In the analysis of variance, there were significant differences between genders only in performance expectations (0.000) and perceived pleasantness (0.016). Significant differences existed across grades in terms of performance expectations (0.018) and social influence (0.000). The measurement dimension of willingness to use had a moderating effect across majors. Hypotheses H12 and H13 are partially valid, but H14 is valid.

Design of intelligent simulation teaching system for college professional courses based on virtual scene

Abstract With the continuous development and progress of network science and technology, virtual reality technology has been accelerated into the field of education. Intelligent Q&A is integrated with virtual technology to create a virtual classroom in this paper. In the process of constructing the virtual classroom, the most crucial terrain modeling is completed using image drawing technology, and the general framework of the virtual classroom is obtained. BERT matches the possible statements in the Q&A system, starting with text recognition. The hypotheses related to the virtual scene are proposed. The validity of the hypotheses is verified, and the effect of using the teaching system is analyzed from three aspects, namely, learning satisfaction, professional course grades, and lecture effect. The results showed that the perceived usefulness of the teaching system had the most significant impact on student’s attitudes toward its use, with a regression coefficient of 0.6452 and a p-value of less than 0.01, and the hypotheses were all valid. The head-up rates of students in the two majors were 56.4061% and 70.2056%, respectively, which ranged from 50% to 75%. The evaluation grade was “good,” and the overall performance of the simulation teaching system was good.

Design and application of intelligent teaching system for network and new media major driven by artificial intelligence technology

Design and application of intelligent teaching system for network and new media major driven by artificial intelligence technology

Research on intelligent identification algorithm for preventing external damage behavior of power cable based on machine learning

Abstract As the key carrier of power distribution line power transmission and the supporting artery of urban functioning, power cables are widely used in electric power engineering construction. The number of users is increasing, and the distribution of locations is becoming more complex. However, if a power cable failure occurs, if not eliminated in time, it will threaten the safety of the power grid, seriously affecting the production of enterprises and the lives of residents. The article first on the power cable vibration signal recognition algorithm design, extraction of power cable external damage fault signal characteristics, proposed based on PSO-SVM power cable external damage fault waveform recognition algorithm, and the design of power cable anti-external damage intelligent early warning system, to achieve a certain period according to the trend of signal changes in the vibration event to discriminate. Research results show that under the same computer operating conditions, the average running time of the algorithm proposed in this paper is only 3.43. Compared to the other two algorithms, the algorithm has the highest recognition accuracy, the fastest convergence speed, and the optimal comprehensive performance. In the external damage signal recognition and warning test, the recognition rate of the excavator passing through defense zone one and two at a distance of 3 meters is 100%, which is greater than 80%, in line with the expected effect.

Design and Implementation of Environment Intelligent Monitoring System in Unattended Machine Room

Design and Implementation of Environment Intelligent Monitoring System in Unattended Machine Room

Design of Intelligent Advertising Recognition System Based on Intelligent Recommendation

Design of Intelligent Advertising Recognition System Based on Intelligent Recommendation

Design and optimization of intelligent ventilation system in coal mine

With the continuous development of the coal industry, coal mine safety and environmental protection have gradually become the focus of important attention. The design and optimization of mine ventilation systems is a key factor in ensuring air quality and safety in the working area. In order to improve the application level of automation and intelligent equipment of mine ventilation system, under the existing conditions of mine, the design significance and goal of mine intelligent ventilation system are taken as the starting point, and the design and application effects are analyzed. By optimizing the layout of ventilation routes, increasing the number of sensors, building an intelligent ventilation system, optimizing the ventilation scheme in the main production scenarios such as coal face, driving face and opening up main roadway in the daily production process of the mine, realizing rapid wind regulation and wind counteraction when disasters occur, and using air flow short circuit to form protective measures, effectively avoiding the expansion of disasters and accidents. At the same time, remote automatic control of ventilation facilities and equipment is carried out to effectively improve the optimal utilization of air supply, avoid the phenomenon of insufficient air supply and waste of air volume, and improve the intelligent level of mine ventilation system.

Design and Implementation of Intelligent Interaction System: Based on Face Recognition and Speech Recognition Technology

Design and Implementation of Intelligent Interaction System: Based on Face Recognition and Speech Recognition Technology

Research on Optimized Design of Intelligent Monitoring System of Power Dispatching Main Station

Research on Optimized Design of Intelligent Monitoring System of Power Dispatching Main Station

Design and Practical Application of a Cost Effective Intelligent Female Surveillance System Using GPS, GSM, and Arduino Technology

This paper suggests a cost effective, portable and intelligent surveillance system for women that they can utilize in risky or emergency situations. In this design, an Arduino Nano microcontroller, a GPS module, and a GSM module are the main parts used. Whenever an emergency arises, the user can instantly send an emergency message to a preset phone number along with their current location. The emergency activation button is in a handy place on the gadget, which is tiny enough to carry in a pocket or purse. This device will improve women's protection and security, particularly in places with high crime rates or poor public safety.

Design of Real-Time Measurement and Intelligent Path Selection System for Network Quality under Big Data

With the emergence and development of new businesses such as video and language, people's requirements for the internet are constantly increasing. This article mainly uses the intelligent path selection method to design a real-time measurement system for network quality. On this basis, this article uses instructions to send messages to the target host, then waits for the receiver's response message, and parses the message to obtain performance indicators such as latency. This article uses intelligent path selection to query and analyze network devices, and cooperates with network devices to actively group and send data to the network. It can measure the inflow and outflow of device interfaces. The packet loss rates of path 1 during T1 and T2 are 0.066% and 0.044%, while the packet loss rates of path 2 are 0.41% and 0.11%, respectively. From the data conclusion, it can be seen that intelligent path selection can effectively improve network quality and provide users with a better internet experience.

Design of Intelligent Greenhouse Monitoring System Based on Internet of Things

Design of Intelligent Greenhouse Monitoring System Based on Internet of Things

Design and Application of Intelligent Library Intelligence Authentication System Based on Information Entropy Early Warning Models

Abstract Identifying the authenticity of library intelligence has consistently posed a significant challenge in intelligence management. This paper aims to optimize the D-S evidence theory to address the issues of uncertainty, imprecision, and high conflict in library intelligence evidence fusion. To achieve this, DSmT is employed to extend the D-S evidence theory by eliminating the process of assigning conflicting information with normalization coefficients. Then, through the fuzzy information pseudo-feature analysis method, the library intelligent intelligence information entropy feature quantity is extracted, and semantic feature matching is used to construct the library intelligent intelligence true and false information recognition system. Finally, the recognition performance of the system is examined using a dataset to analyze the intelligence authenticity recognition of mis-spliced bacterial colony genomic data from a biological experiment that has been entered into the library intelligence database. Finally, it was found that the average recognition rate of this paper's system in the four classical datasets is 96.57%, which is higher than the 89.61% and 90.02% of the two evidence fusion classification schemes. The results of this paper's algorithm for high-conflict evidence are 0.9506, 0.0558, and 0.0097, reflecting the accuracy of the evidence support results. Finally, 35 colony genome splicing error intelligence were identified, of which 32 were genuine errors, with a precision rate of 91% and a recall rate of 94%. The library intelligence authenticity recognition system designed in this paper has excellent performance and provides an effective path and usable algorithmic model for library intelligence authentication.

Design of Intelligent Document Categorization System for Office Software Combined with Neural Networks

Design of Intelligent Document Categorization System for Office Software Combined with Neural Networks

Design of image intelligent focusing system based on improved SMD function and RBF algorithm.

The utilization of digital statistical processes in images and videos can effectively tackle numerous challenges encountered in optical sensors. This research endeavors to overcome the limitations inherent in traditional focus models, particularly their inadequate accuracy. It aims to bolster the precision of real-time perception and dynamic control by employing enhanced data fusion methodologies. The ultimate objective is to facilitate information services that enable seamless interaction and profound integration between computational and physical processes within an open environment. To achieve this, an enhanced sum-modulus difference (SMD) evaluation function has been proposed. This innovation is founded on the concept of threshold value evaluation, aimed at rectifying the accuracy shortcomings of traditional focusing models. Through the computation of each gray value after threshold segmentation, the method identifies the most suitable threshold for image segmentation. This identified threshold is then applied to the focus search strategy employing the radial basis function (RBF) algorithm. Furthermore, an intelligent focusing system has been developed on the Zynq development platform, encompassing both hardware design and software program development. The test results affirm that the focusing model based on the improved SMD evaluation function rapidly identifies the peak point of the gray variance curve, ascertains the optimal focal plane position, and notably enhances the sensitivity of the focusing model.

Design of Intelligent Interactive Teaching System for College English Based on Streamlined Bilinear Attention Networks

Abstract Intelligent methods such as deep learning provide an innovative optimization path for English teaching in colleges and universities. In this paper, the attention mechanism is based on traditional CNN. Embedded attention and multilayer convolutional feature fusion are used to complete the design of streamlined bilinear attention networks. The streamlined bilinear attention network is used to obtain the characteristics of students’ classroom behavior in the process of English teaching, combine the characteristics of students’ classroom behavior and computer programming language to design and implement the intelligent interactive teaching system of English in colleges and universities, and test and apply the analysis of the intelligent interactive teaching system of English. The results show that in the query performance test report, even though the number of requests issued in the test is 2,000, the error rate is always kept at 0, the throughput is 39.8, and the response time is kept at 95~1144s, which indicates that this system can meet the performance requirements with a moderate number of users. In the application analysis, the total score of the teaching method of English Intelligent Interactive Teaching System (mean=94.62) is higher than that of the traditional English teaching method (mean=89.65), which indicates that the teaching method of English Intelligent Interactive Teaching System is more capable of improving the interaction and communication ability of the students in English teaching. The system constructed in this study can meet the diverse needs of students and contribute to the quality improvement of English teaching in colleges and universities.