Function Module Design Research Articles

Research on the Modular Design Method and Application of Prefabricated Residential Buildings

As one of the key ways to realize the industrialization and green development of construction, prefabricated construction is conducive to saving resources and energy and improving labor productivity and quality. Aiming to solve the problem of the lack of standardization in the design of prefabricated residential buildings, which leads to the components not being universally used and the industrial characteristics not being fully embodied, while excessive standardization leads to a lack of personalization and flexibility, the modular design theory is applied to the standardized design of prefabricated residential buildings in this study. The application route of modular design theory in the standardized design is constructed, that is, “system decomposition—module design—module combination”. Taking residential buildings within a height of 54 m as an example, each basic functional module is standardized and combined into standard plans. At the same time, the functional space module design based on modular coordination and the module combination design based on the trinity of “modulus, pattern, and mode” are discussed. This research is of great significance for giving full play to the comprehensive benefits of prefabricated concrete structures in quality improvement, cost reduction, and rapid assembly.

Three-Dimensional Printing with Earthen Materials: A Settlement-Scale Design Experience

This case study originates as a design experiment for a sustainable housing system built on-site. The context is Niamey, the capital of Niger. The study takes into account the environmental issues in the construction sector and aims to find a solution capable of meeting housing, environmental, and economic needs. In the field of earthen construction, the most important developments have been achieved in manufacturing methods. In particular, the use of an additive digital manufacturing system, such as large-scale 3D printing, allows the construction of complex shapes derived from structural and thermal studies, maintaining a high degree of automation in the construction process, reducing construction times and labor costs. This paper investigates the possibility of responding to housing and environmental needs with a settlement system made almost entirely of printed earth, maintaining the highest possible degree of automation. Starting from a study on the state of the art of 3D printing in architecture and printable earthen compounds, the design choices of similar cases are analyzed to understand the construction techniques, potentials, and limitations of the medium. Finally, a design proposal is developed based on the definition of a fully printable functional module, which, upon aggregation, determines the characteristics of the final settlement. This implies a radical change of approach compared to previous prototyping of 3D-printed earthen buildings, as the design of the single functional module is not an exercise that finds completion in itself, but is oriented to the scale of the settlement right from the definition of its basic geometric characteristics. In other words, the settlement is no longer the result of the serial aggregation of independent basic units, but arises spontaneously from the juxtaposition of functional modules designed to interact with each other and merge into a single residential complex. The settlement is, therefore, the large-scale replication of the alternation between full and empty spaces, that characterizes the single functional module and, even more importantly, the replication can take multiple forms. In fact, the full and empty spaces of the functional module are planned to allow multiple combinations of aggregation. This introduces a certain degree of customization into the growth dynamics of the settlement, a factor that is entirely new compared to previous proposals by repeatable modules. No less important are the environmental implications, as designing for the scale of the settlement allows the low carbon footprint typical of earth-based construction to be extended from the single building to the entire settlement.

Construction of Online Interactive Teaching Platform for College English Based on Multilayer Perceptual Machine Modeling

Abstract Most of the existing English online teaching platforms are just digital replicas of offline teaching, which cannot fully utilize the advantages of information technology. Based on the learning theory of constructivism, this paper builds the functional architecture of a personalized English interactive teaching platform and completes the design of the main functional modules. According to the quantitative results of the platform’s user proposition requirements, a matrix description method for English test papers is proposed, and an algorithm is designed to realize the automatic generation of test papers. Meanwhile, the resource recommendation mechanism of the English platform is optimized using a multilayer perceptual machine. Unstructured English learning resources are processed based on the word vector representation method, and for the problem of insufficient processing of nonlinear data in the DN-CBR model, multilayer training is carried out using the MLP to improve the perceptual degree of this part of the data, and the design goals are verified through the test of the teaching platform. The correlation coefficient between self-assessment difficulty and topic difficulty is 0.368, and the correlation coefficient between self-assessment difficulty and positive error is 0.163, indicating that there is a moderate correlation between learners’ self-assessment difficulty and the difficulty of the system topics and between learners’ self-assessment difficulty and positive error. The MLP-based pushed questions’ difficulty is adapted to the learner’s personalization level by dynamically revising it based on their learning process data.

Recent Development of Supramolecular Cancer Theranostics Based on Cyclodextrins: A Review.

With the development of personalized medical demands for precise diagnosis, rational management and effective cancer treatment, supramolecular theranostic systems have received widespread attention due to their reversibly switchable structures, sensitive response to biological stimuli and integration ability for multiple capabilities in a single platform with a programmable fashion. Cyclodextrins (CDs), benefiting from their excellent characteristics, such as non-toxicity, easy modification, unique host-guest properties, good biocompatibility, etc., as building blocks, serve as an all-purpose strategy for the fabrication of a supramolecular cancer theranostics nanodevice that is capable of biosafety, controllability, functionality and programmability. This review focuses on the supramolecular systems of CD-bioimaging probes, CD-drugs, CD-genes, CD-proteins, CD-photosensitizers and CD-photothermal agents as well as multicomponent cooperation systems with regards to building a nanodevice with functions of diagnosis and (or) therapeutics of cancer treatment. By introducing several state-of-the-art examples, emphasis will be placed on the design of various functional modules, the supramolecular interaction strategies under the fantastic topological structures and the hidden "bridge" between their structures and therapeutic efficacy, aiming for further comprehension of the important role of a cyclodextrin-based nanoplatform in advancing supramolecular cancer theranostics.

A Scheme for Distribution Automation Terminal Design Based on ESIM

To realize the operation monitoring and control of distribution network, improve the reliability of power supply and reduce the intensity of operation and maintenance, a design scheme of distribution automation terminal based on eSIM card is proposed. Based on the analysis of eSIM technology and its characteristics, the basic workflow of eSIM card is provided in combination with the remote configuration requirements of power system. Then the main control function and communication module design of the distribution network system are analyzed and explained in detail, with emphasis on the communication interface circuit and software design. The system also integrates AngularJS and SpringBoot to make the platform have the technical characteristics of separation of front and back stations and strong reliability. At the same time, the dial-up and positioning information are integrated into one module to realize real-time monitoring and control of the remote master station. The experimental analysis results show that the scheme has certain advantages in the reliability of distribution automation terminals and the simplification of operation and maintenance management, which increases the integration and functional diversity of power equipment.

Embedded Intelligent Elderly Care System Based on Deep Learning

At present, the elderly care service industry has the problems of low information integration and low data utilization. To solve the above problems, building an embedded pension service platform is one of the most effective means. This paper constructs an embedded pension service model based on deep learning. In this paper, a multi-objective optimization recommendation algorithm based on artificial immune is used to generate service recommendation candidate sets. Develop an embedded personalized elderly care service platform according to the candidate set. This paper makes a detailed demand analysis and functional module design of the elderly service recommendation system, and finally designs and implements the embedded elderly service system. The experimental results show that compared with the user based collaborative filtering algorithm and the improved collaborative filtering, the highest accuracy of this method is improved by 0.09 and 0.07 respectively, and the highest service satisfaction is improved by 2.05 and 2.4 respectively. This method has certain reference value for the research of embedded intelligent elderly care system based on deep learning.

The Improved Design of a Mist Dust Removal Device for Coal Mining

With the development of a fully mechanized mining face, comprehensive mechanized mining face, and high-capacity and high-efficiency mining face in the coal mine, the level of mechanization and productivity is being improved, as well as dust capacity. If dust density is not reduced, it will be a hazard to the respiratory system of the miners seriously, even trigger pneumoconiosis, and the normal running of pieces of equipment will be affected, accelerating insulation equipment aging, and causing an explosion. Miners’ health and safety, normal running of equipment, and economic efficiency are being injured severely.
 Mist dust removal is the most widely used in coal mining, and it has been proven very effective. But the dust removal effect is affected because of the low interference resistance of the light control sensor, and small application scope of the solenoid valve, low agility of the spray device. In the paper, mist dust removal from coal mining was selected as the research background, and dust concentration detection and mechanism of mist dust removal were studied. The light control sensor, dust concentration sensor, and spray device were improved. By the mist dust removal device, online and real-time dust concentration monitoring can be achieved, and automatic dust removal can be realized according to the dust concentration. So, the dust concentration can be effectively reduced, working conditions can be improved, and safe production in enterprises and miners’ health can be guaranteed. The main work of the paper includes the following aspects.
 ① the paper studied the application background and research actuality of dust removal at home and abroad, and analyzed the existing technology of dust removal, and pointed out the research aim and main content.
 ② to provide academic support for the improved design of a mist dust removal device, the paper analyzed dust concentration detection, mechanism of mist dust removal and main affecting factors of dust removal.
 ③ Through needs analysis, the paper presented overall architecture and functional module design.
 ④ Control module, dust concentration sensor, light control sensor, and spray device were improved. at the same time, the performance tests were also discussed.
 ⑤ the paper run the laboratory tests and field tests, the test results showed that the device can measure dust concentration truly, and realize automatic dust removal, and reduce the dust concentration effectively.

Comprehensive Evaluation Method of Supply Chain Logistics System Quality Based on 3D Image Processing Technology

With the rise of manufacturing informatization, many transactions are conducted on the Internet, but the final form of transaction completion is the transaction of actual products, which makes the logistics industry emerge as the times require. How to achieve the optimal allocation scheme and the fastest efficiency in the supply chain has become an urgent problem to be solved. This paper considers the characteristics and advantages of 3D image processing technology, describes the characteristics of 3D image processing supply chain (SC), and analyzes the channels that 3D image technology affects SC. Combining the respective characteristics of fuzzy theory and grey theory, the two theories are combined to develop strengths and circumvent weaknesses to form grey fuzzy theory. Comprehensive evaluation of supply chain logistics capability can achieve better evaluation results. The application of grey theory in this chapter includes constructing the factor set of the evaluation index system and determining the weight matrix of the factor set with the game method. The grey fuzzy evaluation weight matrix (i.e., single index evaluation result) is determined with the grey theory, and the fuzzy comprehensive evaluation result is finally calculated. This paper studies the supply chain logistics capability evaluation and optimization system from the aspects of system analysis, system function module design, and system architecture design and analyzes the overall goal, demand, feasibility, system business process, and data flow of the system construction. At the same time, this paper designs the supply chain logistics capability evaluation and optimization system and shows some functional interfaces. It is of great significance to improve the responsiveness, total inventory level, total cost level, supply chain performance, agility, and flexibility of the supply chain in the new environment.

Cross-Domain Resource Allocation Scheme with Unified Control Architecture in Software Defined Optical Access Network

With the rapid development of communication and the rise of new network services, the resource provisioning of the optical access network becomes more significant than before, especially under the multiple-domain networking situation with the requirement of cross-domain service support. For the sake of high resource utilization to establish more connections of services, this paper proposes a cross-domain resource allocation (CDRA) scheme in a software-defined optical access network to meet the huge bandwidth supporting the requirement of new network services. To achieve this purpose, the global evaluation strategy with the consideration of the traffic situation in each node in its domain is presented in the CDRA scheme, and its interaction process makes decisions for comprehensive optimal resource allocation by integrating radio resources and optical aggregation resources of the entire access network. Furthermore, to manage the resources among multiple domains and support the interaction process of the CDRA scheme, a cross-domain unified control architecture is firstly upgraded by using software-defined networking technology, which includes the further design of CDRA function modules with the global evaluation strategy. The simulation results verify the feasibility of the upgraded architecture and further show that the proposed CDRA scheme can effectively decrease the blocking probability with a 29.35% improvement, balance the network load, and enhance the utilization of network resources of the network.

A Study of Intelligent Paper Grouping Model for Adult Higher Education Based on Random Matrix

This paper presents a comprehensive study and analysis of the intelligent grouping of papers in adult higher education using a random matrix approach. Using the results of random matrix theory on the eigenvalues of the sample covariance matrix, the energy of each subspace is estimated, and the estimated energy is then used to construct a subspace weighting matrix. The statistical properties of the sample covariance matrix eigenvectors are analyzed using the first-order perturbation approximation, and then, asymptotic results from random matrix theory on the projection of the sample covariance matrix signal subspace to the real signal parametrization are used to obtain the weighting matrix based on the random matrix eigenvectors. Dynamic adjustment according to the fitness of individuals in the population is performed to ensure population diversity, while the combination of the small habitat technique can avoid the algorithm from falling into early convergence. The algorithm introduces chaos theory to optimize the population initialization process and uses the dynamic traversal randomness of chaos to select individuals in the population so that the initial population is close to the desired target solution. The design of the fitness function in the genetic algorithm generally maps the objective function of the problem to the fitness function. A good fitness function can directly reflect the quality of the individuals in the group. Based on the in-depth study of the basic attributes of the test questions and the principles of test paper evaluation, the mathematical model and objective function of intelligent paper grouping are determined by the difficulty, knowledge points, and cognitive level of the test questions as the main constraints, and NCAGA is applied to the intelligent paper grouping method, which better completes the intelligent paper grouping session for the computer system architecture course. In the process of designing the intelligent grouping algorithm, for the situations of premature convergence and convergence to locally optimal solutions that easily occur in the traditional genetic algorithm, this paper adopts the approach of adaptive adjustment of crossover probability and variation probability to improve the algorithm and achieves satisfactory results. Based on extensive business research, this paper completes the requirement analysis of the online practice system based on the intelligent grouping of papers and presents the functional design and database design of the key functional modules in the system in detail. Finally, this paper conducts functional tests on the system and analyses the test results.

Physical education movement and comprehensive health quality intervention under the background of artificial intelligence.

The application of artificial intelligence has realized the transformation of people's production and lifestyle, and also promoted the progress of physical education and comprehensive health quality. The application of artificial intelligence in the current physical education movement is increasing. By utilizing its advanced method of virtual simulation technology, the purpose of this paper is to realize the interventional research on the physical education movement and comprehensive health quality in the environment of artificial intelligence. This paper proposes to use the virtual simulation technology and Kinect algorithm in artificial intelligence to design the virtual sports simulation teaching mode. The functional module design part where the Kinect algorithm helps the teaching of virtual sports simulation experiments, which is helpful to analyze and solve the objective system imbalance and ecological imbalance in online physical education teaching. By using the principles and rules of the Mean Shift image segmentation algorithm for reference, the investigation and research on the comprehensive health quality of students are carried out, so as to realize the ecologicalization of the virtual sports school. In the investigation and research on the comprehensive quality of students, the results show that the overall quality of these students who has reached the level of qualified or unqualified is accounting for about 30% of the total number. It is worth noting that in terms of scientific and cultural quality, only 43.34% of all students have excellent grades. It can be seen that the important training goal of current school research is how to use reasonable and effective methods and strategies to improve students' scientific and cultural level, and improve students' other comprehensive scores at the same time.

Interior Design of Smart Home Based on Intelligent 3D Virtual Technology

With the development of society and the continuous advancement of technology, people's research on smart home products is gradually deepening. Compared with the past, smart homes are no longer out of reach, but actually penetrate into our lives. However, while continuously exploring the technology of smart home products, designers have not conducted in-depth research on the interactive mode of the control interface of smart home products. Based on this, the purpose of this article is to study the smart home interior design based on intelligent three-dimensional virtual technology. This article first analyzes the development and current situation of smart homes, and on this basis, combines three-dimensional virtual reality technology to research and analyze smart home systems (S H S). This article systematically elaborates the design of functional modules of the S H S based on intelligent 3D virtual reality technology and the method of converting 2D plane to 3D space coordinate. And use comparative analysis method, interview method and other research methods to carry out experimental research on the theme of this article. The research shows that compared with the traditional S H S, the S H S based on 3D virtual technology studied in this paper has higher feasibility.

Construction of Student Mental Health Education Expert Platform Based on Cloud Native Model

After completing the function and performance requirements of the system, the architecture design of the college students’ mental health expert platform is carried out. The overall design of the platform is introduced as a whole, including the logical architecture, topology architecture, and functional architecture of the system. Due to the particularity of the college student’s mental health expert platform, the framework design of the server and the client is made from the system framework level. Then, it introduces the logical design and physical design of the system database, and finally introduces the detailed design of the core function modules in detail. The corresponding weights of each index in the index system are obtained through AHP, and the evaluation model of the mental health expert platform based on AHP is obtained. After testing, it proved that the platform construction was successful. After investigation, more and more students come to the platform for help, and the students believe that functions such as appointment consultation and online consultation should be added.

Effectiveness of Network Classroom Teaching Based on Genetic Algorithm

In online classroom teaching, the function of teaching system can play an important role in the effectiveness of classroom teaching. How to use genetic algorithm to optimize online classroom teaching system has become a research hotspot. Based on genetic algorithm, this paper proposes an adaptive genetic algorithm model based on the traditional algorithm. After setting the appropriate mutation probability, the model can improve the convergence speed. Moreover, based on adaptive genetic algorithm, combined with the direct value method and BT neural network theory, this paper constructs the online classroom teaching quality evaluation model and the teaching system test paper data model, and optimizes adaptive mutation genetic algorithm and BP neural network to evaluate the teaching effectiveness. Simulation experiments are carried out based on the algorithm model, and the visual parameter values are obtained. After experimental comparison, the initial value of the mutation rate is set between 0.002 and 0.004. For the network classroom teaching system, this paper introduces the system demand analysis, function module design, and database design in detail. Finally, through the questionnaire survey, this paper understands the network situation of students in class and the use of online classroom teaching platform in detail, analyzes the problems and influencing factors of online teaching, and finally puts forward the strategies to improve the effectiveness of online classroom teaching.

A scalable FPGA hardware architecture based on crossbar for power electronics controller

The FPGA is widely used in the power electronics controller to provide real-time control and parallel computing. The robustness and develop efficiency of FPGA affect the safe operation and development period of power electronic equipment, respectively. The existing works mainly focus on the FPGA hardware architecture oriented to one or several power electronic equipment. To improve the flexibility and scalability of FPGA in power electronics controller, this paper presents a novel hardware architecture based on crossbar, which can decouple different FPGA function modules. The proposed hardware architecture can significantly improve the FPGA scalable and accelerate the development period of power electronic equipment. A verification platform is also designed with the proposed hardware architecture. The implementation results show that the presented hardware architecture based on crossbar achieves better scalability and can decouple different function modules design, compared with the existing works.

Design of Exercise Grading System Based on Text Similarity Computing

Text similarity, as an important basis for scoring subjective items in the examination, directly determines the examination results of candidates and the work efficiency of teachers. Therefore, this paper first introduces the theoretical basis of text similarity computing and compares different calculation methods. Then, the text-similarity algorithm is designed, where by conceptualizing text terms, the computing methods based on corpus and knowledge base are combined. Then, according to the similarity computing model of text terms, an automatic grading system for exercises is designed, including the design of technical architecture, the design of functional modules, and the realization process of comprehensive grading. Among them, the grading module is the core module of the system and the key to automatic grading. The systematic test results show that the problem scoring system designed in this paper has little difference from manual marking and can achieve good scoring results.

Designing a National Music System for a Smart Concert Hall Using Neural Network and Wireless Internet of Things

With the fast advancement of science and technology, numerous music systems have emerged. However, there are few folk music in the music industry, for example, pop music, which leads to the inability of folk music lovers to find their favorite music. For this problem, this paper develops a national system of smart concert hall based on a neural network and wireless Internet of things (IoT). It establishes the architecture model of the wireless IoT system of the concert hall by describing the neural network, neuron model, and BP neural network model in detail. Besides, this paper develops the smart music national system based on this model, completes the functional module design of the national music system, and uses the music attribute recommendation model. Finally, it analyzes the scoring performance of the national music system. The results show that when the number of recommended folk music songs is less than 20, the lowest MAE is 0.73.

Improvement Design of Functional Modules of College English Network Teaching System Based on Decision Tree Algorithm

English courses are a compulsory course for non-English core courses. Studying English at university is an important part of studying at a non-English university. The purpose of a university education in English is to enhance the comprehensive language skills of students in English. In this way, they can communicate effectively in English during future work, study, and social interactions, while strengthening their ability to meet the needs of social development and international exchange. The functional improvement design of the college English network teaching system will help the system to provide technical support and services for college English teaching more effectively. It can more effectively cultivate students’ language communicative ability and autonomous learning ability. This article first improves the practical units of the education system and then adds the decision tree algorithm. It uses improved decision-making algorithms to evaluate student performance with an improved learning system. The number of leaf nodes of the improved decision tree algorithm on the three datasets is 19, 14, and 15, respectively, and the number of summary points is 27, 23, and 7, respectively.

Design of Multimedia English Online Teaching Platform under Wireless Network Communication Technology.

The traditional online teaching platform has poor compatibility due to the high data delay in practical applications. Therefore, a Multimedia English online teaching platform under wireless network communication technology is designed. Aiming at the actual functional requirements of online teaching, the overall architecture of the Multimedia English online teaching platform is designed. In this architecture, the hardware of the data collector, memory, and main controller is deployed to build the platform. Based on the wireless network communication technology, the software modules are divided into two parts. It is made of a number of functional modules. The design of the platform functional modules is mainly based on the main functions of the administrator submodule, the teacher submodule, and the student submodule. At the same time, the weight of the indicators is determined by combining the analytic hierarchy process and the evaluation domain for the quality evaluation of Multimedia English online teaching is established. The level model completes the platform design. The experimental results show that the test results of the designed platform meet the expected goals and can effectively improve the quality and efficiency of Multimedia English online teaching. The teaching quality is always higher than 95%, and the average teaching efficiency is 96.27%.

Construction of Personalized Learning Platform Based on Collaborative Filtering Algorithm

On the network service platform for vocational education, there are currently over 10,000 online courses. Learners face a challenge in selecting interesting courses from the vast resources available. Learners’ urgent need for personalized learning is becoming more apparent as educational informatization progresses. Personalized recommendation (PR) technology can aid personalized learning and increase learners’ learning efficiency significantly. This paper constructs a smart classroom model based on AI (artificial intelligence) by studying the connotation and characteristics of smart classroom in light of the current research status and trend of smart classroom at home and abroad. The merits of the recommendation system are determined by the recommendation algorithm used by PR system. This paper primarily focuses on developing a personalized learning platform based on the CF (collaborative filtering) algorithm, as well as conducting system requirements analysis, database design, functional module design, implementation, and testing on this foundation. Experiments are carried out to see if the optimized PR algorithm in the network learning platform is effective.