Electronics Science Technology and Application (E-Journal)
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Supercapacitor Materials and Applications Review
Get PDFSupercapacitor is becoming a promising new energy storage device with multiple advantages, such as high power density,
fast charge-discharge rate, long lifespan, and good cyclability. There are three types of supercapacitor: electric double layer capacitor (EDLC),
electrochemical pseudocapacitor, and a hybrid of EDLC and pseudocapacitor. The electrode is a key component that plays an important role
in determining the performance of the supercapacitor. This review has discussed fi ve popular electrode materials: carbon-based materials,
manganese-oxide (MnOx) material, nickel disulfi de (NiS2) hollow nanoprisms material, cellulose nanocrystal (CNC) aerogels material, and
cobalt oxide (Co3O4) nanotube material. Also, three main applications of the supercapacitor have also been discussed: renewable energy
generation, mobile devices, and electric vehicles. Although the limitations of the current materials are preventing the supercapacitor from
achieving a comparable energy density to the battery, the advancing of the material technology will allow it to have a higher capacitance in
the future. With higher capacitance, the application of the supercapacitor could be even broadened as well
A study on communication optimization of distributed gradient descent algorithms based on large-scale machine learning
Get PDFIn recent years, the rapid development of new generation information technology has resulted in an unprecedented expansion
of information capacity. Machine learning algorithms are also increasingly used to compute information sets and build information systems
to solve problems whose complexity makes algorithmic solutions infeasible. Examples include autonomous vehicles, speech recognition
or user determination (recommendation systems). The complexity of the machine learning model, combined with the larger amount of data
collected, makes it much more expensive to use the model on a single machine, or even impossible to train. Using the computing power of
distributed systems is a straightforward, simple solution to the problem. Today, powerful computer clusters are used to train complex deep
neural networks on large data sets. However, in large-scale clustered environments, the commonly used distributed synchronous stochastic
gradient descent algorithms require frequent node communication to ensure consistency of the gradients (parameters). This has led to the
communication bandwidth being a key constraint for distributed machine learning systems
Research and Application of Parallel Mismatch Detection and Reconfiguration Method for Photovoltaic (PV) Arrays
Get PDFTo solve the problem of generation loss caused by photovoltaic (PV) array parallel mismatch, this paper proposes a reconstruction method using short-time I-V curve scan detection and based on the root mean square of the difference of (maximum power point voltage). First, the short-time I-V curve scan is applied to obtain the distribution characteristics of each PV array, and then the optimal reconstruction results are output using the root mean square of the difference between each PV array. Subsequently, the basic principles of the above methods are introduced, and a PV power station test platform with a capacity of 125KW is built. The test results on the platform show that the proposed methods can significantly reduce the power loss caused by mismatch, which validates the effectiveness of the methods described in this paper
The Invention relates to a Tobacco Silk Big Data and AI Development Platform and its Application
Get PDFIn recent years, big data and AI technology has been widely used, and the traditional manufacturing industry has also
obtained a huge space for technological transformation and upgrading. For tobacco silk production, due to its abundant sensors in the
production line and high degree of automation, it has unique advantages in the application of big data and AI technology; At the same time,
due to the complexity of its production process and technology, the application of big data and AI technology is facing challenges. Therefore,
this paper designed a graphical silk making big data and AI development platform to accelerate the application of big data and AI technology
in tobacco processing and manufacturing industry
“Open space” integrated mangrove intelligent monitoring platform based on the Internet of Things
Get PDFIn order to comprehensively promote mangrove restoration, this paper developed a set of “open space” integrated mangrove
intelligent monitoring platform based on the Internet of Things, in order to solve the problems of traditional mangrove monitoring
technology, such as simple means and small scale. The platform built LoRa Mesh AD hoc network and NB-IoT Internet of things to collect
and transmit mangrove wetland environmental data, developed the upper computer website and the lower computer control system for real_x005ftime monitoring of environmental sensor data, and carried out imaging hyperspectral load with UAV to collect mangrove plant species
and distribution and perform spectral analysis. It aims to use information technology to help the construction of ecological civilization,
and contribute to fully supporting Zhanjiang to build a “mangrove city”. The test results show that the data transmission is normal, the
hyperspectral image picture is clear, the PC analysis is complete, the abnormal environmental data alarm is accurate and rapid, and the
control system responds in time
Research on Balanced Scheduling of Useful Information Resources in Grid Space
Get PDFWith the rapid development of network technology, a large number of information resources are heterogeneous, and the useful resources in grid space have the defects of low resource utilization rate and network load imbalance. The resource scheduling algorithm establishes the information resource model, organizes the resources reasonably, locates the useful resources quickly, improves the effective utilization of grid spatial resources, and makes the grid spatial node load balance
Analysis of Fault Tolerant Control Methods for Nuclear Radiation Detection Robot
Get PDFDual-redundant systems represent a widely employed fault-tolerant technology aimed at enhancing the reliability and fault tolerance performance of nuclear radiation detection robots. In this study, with a specific focus on nuclear radiation detection robots, we introduce a comprehensive fault-tolerant control scheme achieved through an analysis of the fault detection and handling methodologies inherent in dual-redundant systems. This scheme encompasses fault detection approaches spanning the processing layer, interface layer, and peripheral device layer, all accompanied by their respective fault-handling strategies. By conducting an exhaustive examination of fault detection and handling within dual-redundant systems, the reliability and fault tolerance capabilities of nuclear radiation detection robots can be significantly advanced
Exploration of the Application of Electronic Circuit Simulation Technology in Integrated Circuit Design
Get PDFIn the current era of continuously improving technological level, various electronic products have emerged one after another, bringing great convenience to people’s lives. Electronic circuit simulation technology is also widely used in circuit design, which has an important effect on improving the overall quality of circuit design. In addition, the widespread application of electronic circuit simulation technology has further reduced the development time of similar products, ensuring circuit performance. Based on this, this article mainly explores and analyzes the application practice of electronic circuit simulation technology in integrated circuit design, for reference by relevant personnel
On the development of computer network management technology in the new era
Get PDFwith the development of science and technology in China, network technology has been used in various fi elds of society,
and plays an important role. With the development of the times, it has gradually become an important part of people’s life and production
process. However, in the new era, there are still many problems that are diffi cult to solve in the process of computer network management in
China. In view of this, this paper analyzes the development of computer network management technology in the new era in detail, hoping to
provide some valuable references for teachers and friends
Simulation analysis of UAV autonomous landing system based on TECs
Get PDFAiming at the decoupling control problem of velocity and altitude in the process of unmanned aerial vehicles (UAV)
autonomous landing under visual guidance, this paper establishes the fl ight control model of fi xed wing UAV, and deduces the coupling
relationship between airspeed and altitude in the process of UAV glide, The total energy control system (TECs) is used for decoupling
control to realize the autonomous fi xed-point landing of UAV. The simulation results show that the designed control law can decouple the
airspeed and altitude of the UAV, so that the UAV can land at the predetermined place autonomously and accurately