Real-time Information Interaction Research Articles

Multimedia Human-Computer Interaction Method in Video Animation Based on Artificial Intelligence Technology

With the development of computer technology innovation, be able to deal with the media comprehensive information and real-time information interaction with the computer multimedia technology arises at the historic moment, it promotes the application fields of computer widen to industrial all aspects of life. As the product of digital technology, animation technology plays an irreplaceable role in the production of multimedia courseware. However, the existing human-computer interaction methods have shortcomings such as incomplete extraction of video features and poor human-computer interaction effect. In this context, this paper designs a multimedia human-computer interaction method for animation works based on CNN model. First of all, the original video data is collected and preprocessed. Then it is input into the HCI framework based on CNN model for feature extraction. Finally, the effectiveness and practicability of the proposed method are proved by simulation experiments, which provides a reference and basis for the research of modern human-computer interaction.

Digital Twins for Discrete Manufacturing Lines: A Review

Along with the development of new-generation information technology, digital twins (DTs) have become the most promising enabling technology for smart manufacturing. This article presents a statistical analysis of the literature related to the applications of DTs for discrete manufacturing lines, researches their development status in the areas of the design and improvement of manufacturing lines, the scheduling and control of manufacturing line, and predicting faults in critical equipment. The deployment frameworks of DTs in different applications are summarized. In addition, this article discusses the three key technologies of high-fidelity modeling, real-time information interaction methods, and iterative optimization algorithms. The current issues, such as fine-grained sculpting of twin models, the adaptivity of the models, delay issues, and the development of efficient modeling tools are raised. This study provides a reference for the design, modification, and optimization of discrete manufacturing lines.

An anonymous authentication scheme with conditional privacy-preserving for Vehicular Ad hoc Networks based on zero-knowledge proof and Blockchain

Recently, Vehicular Ad hoc Networks (VANETs) have gained extensive attention in both academia and industry. VANETs play a seminal role in smart transportation by enhancing driving convenience and traffic efficiency through real-time information interaction. Despite this, ensuring secure authentication and privacy preservation remains two challenging issues in VANETs. The existence of security schemes that are vulnerable to privacy and security issues or have substantial computation and communication overheads shows the necessity for further research in this area. Therefore, in this article, we present an anonymous authentication scheme based on Zero-Knowledge Proof. To be more specific, we adopted Simulation Extractable Zero-Knowledge SNARKs (SE zk-SNARKs) to achieve anonymity and conditional privacy. Although zk-SNARK proofs are succinct and fast to verify, the time required for proof generation poses a major obstacle in using zk-SNARKs in a time-sensitive VANET environment. To overcome this drawback, we focus on key components of the proof statement, separating the repetitive calculations, and archiving in the Blockchain, which serves as an immutable data storage. By omitting repetitive calculations, our proposed scheme becomes lightweight enough to run efficiently on VANETs. Security analysis showed that the proposed protocol satisfied security and privacy requirements. Additionally, a computation cost analysis is provided to demonstrate the significant advantage of our proposed scheme. ProVerif is used to verify the strong secrecy of the protocol, and the results show that privacy can be guaranteed in the proposed scheme.

Integrated sensing and communication waveform design in the Internet of Vehicles

We design an integrated sensing and communication (ISAC) transmission waveform with total transmission power, waveform similarity, and peak-to-average power ratio (PAPR) constraints in the Internet of Vehicles (IoV). The integrated waveform can complete radar target detection while communicating with downlink cellular users. The design of IoV with ISAC can not only improve the spectrum efficiency, but also further promote the integration of communication and sensing equipment. In this paper, the IoV with ISAC is formally modeled from the communication view and sensing view respectively. On this basis, taking the joint optimization of multi-user interference (MUI) total energy and Cramér Rao Bound (CRB) as the objective function, the transmission waveforms are designed with total transmission power, waveform similarity, and PAPR constraints respectively. To obtain the global optimal solution, we adopt a low complexity algorithm to solve the optimization problem under the total transmit power constraint and the optimization problem based on waveform similarity and PAPR constraints is further transformed into a nonconvex quadratically constrained quadratic programming (QCQP) problem, which is solved by using the semidefinite relaxation (SDR) technique. By ranking one approximation of the constrained optimization problem, it can be transformed into the solution of semidefinite programming (SDP) problems. The numerical results show that the designed ISAC transmission waveform can achieve an efficient tradeoff between sensing and communication performance, and each KPI is superior to one of the only communication and only sensing waveform design schemes. And it can improve the real-time information interaction ability of the IoV.

Java Implementation of Intelligent Platform of Computer Distance Education Based on Real-time Information Interaction Algorithm

Java Implementation of Intelligent Platform of Computer Distance Education Based on Real-time Information Interaction Algorithm

Digital Thread-Driven Proactive and Reactive Service Composition for Cloud Manufacturing

This article develops a proactive and reactive service composition (PRSC) method for CMfg based on digital thread. First, the digital thread-driven information interaction architecture is established, based on which the detailed process of PRSC and the constitution of digital thread are designed. Then, the strategy of proactive SC and the process of reactive service adjustment are proposed: the former selectively allocate alternative services for subtasks to balance the quality of service (QoS) and robustness of the composite manufacturing service, the latter implements the decision-making for service exception handling based on digital thread. Finally, a group of simulation experiments and a practical case study are conducted. The results show that the proposed digital thread-driven PRSC method integrates the advantages of proactive planning and reactive adjustment, effectively reduces the service reservation cost of robust service composition and improves the actual QoSs under uncertainties based on the support of near real-time information interaction.

Distributed Timestamp Mechanism Based on Verifiable Delay Functions

In the data communication system, the real-time information interaction of communication device increases the risk of privacy sensitive data being tampered with. Therefore, maintaining data security is one of the most important issues in network data communication. Because the timestamp is the most important way to authenticate data in information interaction, it is very necessary to provide timestamp service in the data communication system. However, the existing centralized timestamp mechanism is difficult to provide credible timestamp service, and users can conspire with timestamping servers to forge timestamps. Therefore, this paper designs a distributed timestamp mechanism based on continuous verifiable delay functions. It utilizes multiple independent timestamp servers to provide timestamp services in a distributed model and appends the timestamp to the data once the data is generated. Thus, it can prove that the data already exists at a certain time and ensure the accuracy of the timestamp. Moreover, a digital blind signature based on elliptic curve cryptography is utilized to solve the problem of timestamp forgery in timestamp service. Finally, the security analysis of the scheme ensures the data security of data communication system and the concurrency rate of timestamp. The experimental results also show that the scheme greatly improves the efficiency of digital signatures.

Digital Twin-Based Risk Control during Prefabricated Building Hoisting Operations.

Prefabricated buildings have advantages when it comes to environmental protection. However, the dynamics and complexity of building hoisting operations bring significant safety risks. Existing research on hoisting safety risk lacks a real-time information interaction mechanism and lacks scientific control decision-making tools based on considering the correlation between safety risks. Digital twin (DT) has the advantage of real-time interaction. This paper presents a safety risk control framework for controlling prefabricated building hoisting operations based on DT. In the case of considering the correlation of the safety risk index of hoisting, the safety risk hierarchy model of hoisting is defined in the process of building the DT model. The authors have established a Bayesian network model into the process of the integrated analysis of the digital twin mechanism model and monitoring data to realize the visualization of the decision analysis process of hoisting safety risk control. The key degree of the indirect inducement variable to direct inducement variable was calculated according to probability. The key factor leading to the occurrence of risk was found. The effectiveness of the hoisting safety risk control method is verified by a large, prefabricated building project. This method provides decision tools for hoisting safety risk control, assists in formulating effective control schemes, and improves the efficiency of information integration and sharing.

Research on Optimization Control Strategy of Vehicle-Road-Grid Charging and Exchanging Based on User Demand Guidance

Considering the time-space uncertainty of electric vehicle charging and changing demand, the uneven distribution and random diversity of charging stations, the big data cloud network is used to realize the real-time information interaction between charging and changing power station and electric vehicle. Based on the user demand orientation, an intelligent charging and changing optimization control strategy of “Vehicle-Road-Grid” integrating cloud vehicle operation data is proposed. Under the discrete electric vehicle charging demand, this strategy quickly organizes the supply information around the discrete point. On the basis of the minimum energy consumption between the electric vehicle charging request point and the supply point, considering the multi-dimensional factors such as the optimal interests of the electric vehicle users, the shortest waiting time for charging and changing, and the shortest driving distance for charging and changing, the multi-objective optimal configuration strategy is realized. The simulation results show that the strategy can stably select the charging and swapping scheme that best meets the actual needs of users, effectively improve the charging and swapping service experience of users, and enhance the adhesion and participation of users.

Multi-energy conversion based on game theory in the industrial interconnection.

The multi-energy conversion system (MCS) plays an important role in improving the utilization of energy resources and realizing the energy transition. With the application of the new generation of information technologies, the new MCS can realize real-time information interaction, multi-energy collaboration, and real-time demand response, in which energy suppliers can intelligently motivate consumers' energy use behavior. In this paper, an MCS coupled with a cloud platform is proposed to address information explosion and data security issues. Due to the development of Internet technology, the increasing energy data, and the serious energy coupling, it is difficult for traditional optimization methods to deal with the interaction between participants of the MCS. Therefore, the non-cooperative game is used to formulate the interactions between participants with the aim of maximizing the energy suppliers' profit and minimizing the customers' cost. It is proved that the game model is an ordinary game with one Nash equilibrium. The simulation was performed with a gradient projection algorithm and the results show that the proposed MCS improves energy utilization efficiency through energy conversion while ensuring consumer satisfaction, and benefits both the customers and suppliers by reducing the energy consumption cost and the peak load demand, which effectively improve the supply quality and enrich the energy consumption patterns.

Data processing platform design and algorithm research of wearable sports physiological parameters detection based on medical internet of things

• Physiological parameter detection in the data processing platform through the built-in algorithm. • The physiological parameter array is obtained and transmitted to ZigBee network by platform. • It can realize the remote and real-time information interaction between doctors and patients. In this paper, the data processing platform for the detection of wearable Sports Physiological Parameters Based on the medical Internet of things can be connected with the network to build a medical Internet of things platform for remote monitoring of patients' lives, which can process physiological data in real time. Finally, the important physiological parameter array of human body is obtained and transmitted to ZigBee network in real time. If the patient needs further diagnosis, the collected data can also be sent to the home gateway through ZigBee and then sent to the telemedicine center through internwt for diagnosis by the doctor and the diagnosis results will be sent back to the patient. The data processing platform can realize the remote and real-time information interaction between doctors and patients.

Development of a Membrane Liquid-Based Thin-Layer Cell Film Maker

Specimen production is a key step in cytological diagnosis. This paper proposes a membrane liquid-based thin-layer cell film maker based on the principle of liquid-based thin-layer cell production. To be specific, the designed maker mainly consists of two parts including the mechanical system and control system. For the mechanical part, a novel type of polar coordinate manipulator is developed with the corresponding working scheme. In order to handle cell breakage and collection, a dynamic sealing head system is designed, which saves cost and improves automation. For the control part, both hardware and software are designed to realize the functions including the motion feedback and control of mechanical components, the measurement and adjustment of the pressure system, and the real-time information interaction between human and machine interface. Experimental results demonstrate that the developed maker is capable of fully meeting the requirements of clinical pathology, clinical detection and diagnosis, owing to the advantages such as the compact structure, high cost performance, stable performance and high satisfaction rate.

A Charging Strategy with the Price Stimulus Considering the Queue of Charging Station and EV Fast Charging Demand

This paper proposes an electric vehicle (EV) charging guiding strategy with the price stimulus considering the queue of charging station and the EV fast charging demand. Firstly, a charging guiding framework based on the real-time information interaction is introduced. Secondly, the Origin-destination (OD) analysis is introduced to describe the distribution of EV fast charging demand. Based on the charging demand, a stack queue model is proposed to simulate the dynamic queue of EV charging stations, and a price stimulus method is adopted to guide the EV user to choose the charging station for minimizing the charging cost. Finally, a case is demonstrated to prove the effectiveness of the strategy.

On the Architecture of Smart and Orderly Power Consumption Management Platform Based on Smart and Orderly Power Consumption Devices

In view of the problems like poor dynamic flexibility of grid, and the lack of real-time information interaction between power consumption devices and power supply devices, and among power consumption devices, this paper puts forward a smart and orderly power consumption management platform based on smart and orderly power consumption devices through R&D of smart and orderly power consumption which centers on smart grid and aims at utilizing low-carbon energy, and also proposes the optimization model. Dedicated to achieving the real-time information interaction between power consumption devices and power supply devices, and among power consumption devices, the platform uses smart and orderly power consumption management devices to send information to the smart and orderly power consumption management system through a wired or wireless network—the network itself and the remote smart and orderly power consumption management system are wired together or connected wirelessly—so that the automatic electrical load of power consumption equipment could be adjusted in a smart and orderly fashion at the side of transformer-based consumers in accordance with the electrical load curve of the distribution network.

On the Design of Simulation System of Intelligent City Taxi Call

The city taxi system is characterized as inconvenience information interaction with passengers and regional imbalance. With the development of wireless network technology, VANET can realize the real-time information interaction between taxi and passengers. Thus to conduct reasonable taxi scheduling and improve the efficiency of the taxi system. In order to validate the effectiveness of intelligent call system of city taxi which adopts the wireless network technology, this study provides a taxi control simulation system based on the wireless network, thus to analyze the behavior of vehicles and passengers. The results show that the real-time taxi call system and intelligent scheduling by using the wireless network technology can effectively reduce the not-taken rate and the average waiting time of passengers.

Application of PDA forest fire monitoring based on web service technology

The difficulty in information communication and sharing are major problems for forest fire monitoring and early warning in China. As authors, we applied web service technology to a personal digital assistant (PDA) forest fire monitoring system and propose the framework of a monitoring system based on service-oriented architecture (SOA). At the same time, we describe the composition and function of web services from a server side and a client side. The method for developing a web service invocation engine on the PDA is introduced in detail. Finally, an example of a fire danger rating and fire weather services system are established, based on the Beijing Forest Fire Control System. The results show that the PDA forest fire monitoring system based on web services can effectively take advantage of the existing fire protection decision information services, realize real-time information interaction and sharing, and improve the level of forest fire monitoring.