Energy Management for Energy Harvesting-Based Embedded Systems: A Systematic Mapping Study

Miao, Xingyu; Ge, Yongqi

doi:10.1155/2020/5801850

Cited by 2 publications

(1 citation statement)

References 120 publications

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“…With the advent of the 21st century, embedded technology has been widely used and has gradually become a development trend in communication and consumer electronic devices, where analogue technology has been completely replaced by digital technology in communication [1]. European DVB technology has been commonly adopted internationally.…”

Section: Introductionmentioning

confidence: 99%

SQLite Encryption Method for Embedded Databases Based on Chaos Algorithm

Shi

2023

Journal of Applied Mathematics

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With the widespread use of embedded systems, chaos is a nonlinear system with certainty and complexity. It is an important topic in the field of information security at present, and it is an effective way to apply to embedded systems. It has great practical value in theory and in practice. This research mainly focuses on the encryption technology of SQLite embedded database and proposes an improved sparrow algorithm (Logistic Chaos Sparrow Search Algorithm, LCSSA) based on Logistic Chaos Map. It shows that the security level of SQLite in web development is higher than that of conventional Access. The population is initialized by the logistic chaotic mapping method, which improves the quality of the initial solution, increases the diversity of the population, and reduces the risk of premature maturity of the algorithm. The initial value y 0 determines the encryption method of the nonlinear function. Taking the integer variable (int) as an example, the value range is -231~231. It can be seen that the key space is sufficient to prevent various conventional attacks. When the key is the wrong key, decryption will not yield any data. It can be found that encryption and decryption are very sensitive to the key, which is also determined by the sensitivity of chaotic encryption system to the initial value. The benchmark function compares the performance of the improved algorithm with the algorithm before the improvement and compares it with the SSA. The LCSSA has better convergence performance, higher accuracy, and better stability.

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Section: Introductionmentioning

confidence: 99%

SQLite Encryption Method for Embedded Databases Based on Chaos Algorithm

Shi

2023

Journal of Applied Mathematics

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Visualization Methods of 3D Plant Models: A Systematic Mapping Study

Cao

2021

Journal of Electrical and Computer Engineering

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Three-dimensional plant model visualization (3D-PMV) is based on plant biology and the plant structure construction model for virtual simulation three-dimensional display, reflecting plant structure characteristics and demonstrating the growth process. In this work, we used the method of systematic mapping study (SMS) to screen the relevant literature in order to explore and analyze the methods and goals of virtual plant visualization research and to provide assistance in future literature reviews. To this end, we conducted extensive searches to identify articles related to plant model visualization technology. We searched for papers from July 2010 to November 2020 from four mainstream databases, namely, ACM, IEEE Xplore, EI, and Web of Science, and found more than 2,900 papers on 3D-PMV. Finally, we selected 60 qualified papers. We mainly followed the SMS method to classify papers by answering seven questions, mainly extracting data for analysis on research types, research goals, model construction methods, visual model categories, number of publications, tools, and methods. The results show that solution proposals account for the largest proportion of research types, accounting for 75% of the total number of papers. This shows that the focus is on the improvement of original methods or the proposal of new methods in this field; research goals of research plant phenotypic characteristics account for the total 35%; 28% of the research objectives focus on showing the reflection of plant growth process, indicating that the research objective trends in this research field regard plant phenotypic characteristics and visualization of the growth process; static type model visualization also accounts for 83% of the total, indicating that the related research on visualization in this field is mostly static typing. Therefore, our work not only analyzes the challenges faced by 3D-PVM and the research directions that need more attention in the future but also provides some suggestions for researchers to find suitable research directions in this field. As the future direction of development, researchers need to pay more attention to the study of dynamic visualization methods of plant growth. We believe that for future research, it is indispensable to provide 3D-PMV with research methods, research goals, visualization model types, development, and other tools. This article analyzes the results of the extracted data based on the SMS method and makes an important contribution to the researcher's extensive understanding of the current status of 3D-PMV and the potential future research opportunities in the field.

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Energy Management for Energy Harvesting-Based Embedded Systems: A Systematic Mapping Study

Cited by 2 publications

References 120 publications

SQLite Encryption Method for Embedded Databases Based on Chaos Algorithm

SQLite Encryption Method for Embedded Databases Based on Chaos Algorithm

Visualization Methods of 3D Plant Models: A Systematic Mapping Study

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