Internet Of Intelligences Research Articles

Flexible and highly piezoelectric nanofibers with organic–inorganic coaxial structure for self-powered physiological multimodal sensing

The relatively low sensitivity of flexible piezoelectric nanogenerators (PENG) is the most urgent problem to be solved for their applications in internet of things and artificial intelligences. To improve the piezoelectricity of polymeric fibers without discount of flexibility, BaTiO3 nanowire (BTNW) with high aspect ratio is introduced into the piezoelectric P(VDF-TrFE) (denoted as PT) electrospun fibers to form coaxial composite nanofibers for improving the sensitivity towards external mechanical loads. To reinforce the organic–inorganic interfacial interaction for the improvement of the piezoelectric response, a nanolayer of polydopamine (PDA) is uniformly coated on the surface of BTNW (denoted as pBTNW) to form PT/pBTNW nanofibers. The introduction of 7 wt% pBTNW into the fibers significantly improves the polymeric β-phase conformation and mechanical properties, simultaneously, resulting in an optimal piezoelectric output of 18.2 V under an impact force of 5 N with excellent sensitivity of 4.3 V N−1. Through both theoretical simulation and experimental characterization, the PT/pBTNW-based PENG exhibits a higher electrical output than the equivalent nanoparticle-based PENG. The optimized PENG sensor can be used for self-powered and sensitive biomonitoring of physiological movements, finger identification and voice recognition. Overall, this work offers a reliable method for enhancing piezoelectricity of flexible polymeric nanofiber and designing high-performance PENG for wearable fabric-based sensors.

Advances in High-Performance Autonomous Energy and Self-Powered Sensing Textiles with Novel 3D Fabric Structures.

The seamless integration of emerging triboelectric nanogenerator (TENG) technology with traditional wearable textile materials has given birth to the next-generation smart textiles, i.e., textile TENGs, which will play a vital role in the era of Internet of Things and artificial intelligences. However, low output power and inferior sensing ability have largely limited the development of textile TENGs. Among various approaches to improve the output and sensing performance, such as material modification, structural design, and environmental management, a 3D fabric structural scheme is a facile, efficient, controllable, and scalable strategy to increase the effective contact area for contact electrification of textile TENGs without cumbersome material processing and service area restrictions. Herein, the recent advances of the current reported textile TENGs with 3D fabric structures are comprehensively summarized and systematically analyzed in order to clarify their superiorities over 1D fiber and 2D fabric structures in terms of power output and pressure sensing. The forward-looking integration abilities of the 3D fabrics are also discussed at the end. It is believed that the overview and analysis of textile TENGs with distinctive 3D fabric structures will contribute to the development and realization of high-power output micro/nanowearable power sources and high-quality self-powered wearable sensors.

Self-charging power textiles integrating energy harvesting triboelectric nanogenerators with energy storage batteries/supercapacitors

Lightweight and flexible self-charging power systems with synchronous energy harvesting and energy storage abilities are highly desired in the era of the internet of things and artificial intelligences, which can provide stable, sustainable, and autonomous power sources for ubiquitous, distributed, and low-power wearable electronics. However, there is a lack of comprehensive review and challenging discussion on the state-of-the-art of the triboelectric nanogenetor (TENG)-based self-charging power textiles, which have a great possibility to become the future energy autonomy power sources. Herein, the recent progress of the self-charging power textiles hybridizing fiber/fabric based TENGs and fiber/fabric shaped batteries/supercapacitors is comprehensively summarized from the aspect of textile structural designs. Based on the current research status, the key bottlenecks and brighter prospects of self-charging power textiles are also discussed in the end. It is hoped that the summary and prospect of the latest research of self-charging power textiles can help relevant researchers accurately grasp the research progress, focus on the key scientific and technological issues, and promote further research and practical application process.

Construction of innovative computer training education mode under the environment of multiple intelligences Internet of Things

With the emergence of the Internet of Things technology and the rapid development of computer technology and network communication technology, a profound technological change is taking place in the education model. Based on the current problems in the teaching of computer network courses and the improvement needs of the innovative computer training platform of the Internet of Multiple Intelligences, this article summarizes the ideas for improving the innovative computer training platform of the Internet of Multiple Intelligences of the computer network, and explores the mobile learning environment of computer network courses. Based on the multi-level feedback teaching mode, each type of experiment in the innovative computer training system is divided into theoretical tests, basic experiments, improved experiments and inquiry experiments. After each level is completed, the problem will be fed back to the teacher through the system, the results and suggestions will be fed back to the students, and the students will increase their interest in learning, improve the performance of innovative computer training, cultivate the students’ ability to explore and innovate, and help teachers to grasp the students’ innovation in computer training. This article demonstrates the teaching effect of the system through quasi-experimental research methods and interview methods. According to the results of quasi-experimental research and interviews, it is found that this system can improve the teaching effect of teachers, stimulate students’ interest in learning and improve academic performance. The construction and application research of this system will provide support for the construction and practical teaching of an innovative computer training system for the multi-dimensional Internet of Things.

Initial analysis of low-altitude internet of intelligences (IOI) and the applications of unmanned aerial vehicle industry

Initial analysis of low-altitude internet of intelligences (IOI) and the applications of unmanned aerial vehicle industry

Analysis of Death Risk of COVID-19 under Incomplete Information

It is easy to write a story about the Coronavirus Disease 2019 (COVID-19) when everything about COVID-19 is known. It is difficult to analyze the death risks of COVID-19 with a few evidences collected before and at the beginning of the outbreak. In this paper, we suggest a hybrid model to analyze the death risk under incomplete information. The hybrid model would be supported by the internet of intelligences, being a platform interacting with infectious disease specialists and local doctors who fuse the evidences with the experience of the known infectious diseases and provide a series of judgments related to the death risk of a human population in a given period to COVID-19. The hybrid model consists of two models of set-valued statistics and a formula. The set-valued statistics integrate the judgments for constructing (1) a probability distribution of the percent of patients, as the exposure of the population, and (2) a mortality curve with respect to the percent, as the vulnerability of the population. The suggested formula calculates the expected value of death toll. We give a virtual case to show how to use the hybrid model.

Principle of Internet of Intelligences and Development of its Core Technology

The network platform connecting multiple agents, which is embedded in the models to integrate individual wisdoms into a great wisdom, is called Internet of intelligences (IOI). The risk radar can be driven by IOI with mathematical models written by PHP language. A measure space of the seismic macro-anomalies group was set up in IOI based the consensus of the staffs participating earthquake monitoring and prediction. The core technology in IOI is information diffusion technology, and its intelligent development depends on the appearance of intelligent mathematics on earth. By means of the development of the factor space theory to construct IOI expressing knowledge and being cognizant of thinking, we should promote the research of “Internet + Risk Analysis” and promote the development of Web mathematics, and lay the foundation for intelligent mathematics. The IOI supported by Web mathematics is expected to decompose and dissolve wisdom ingredients in some factor spaces so that individual wisdoms are integrated to be a great wisdom.

Pavement model in Internet of intelligences and applications in risk analysis online

ABSTRACTIn this article, I suggest a model to study the risk issue that can be mapped into a query on how to pass a road safely. The model is called the pavement model, which can be used in the Internet of intelligences. The model has three components: object, value of success or failure, and duration of the value. An object is mapped into a section of road, the value is defined by the truth value of success or failure passing the road, and the duration represents the number of parts with the value in the session. The case of choosing milk powder shows that the model can perfectly integrate childcare experiences to be a rank that indicates which milk powder should be the first choice and which milk powder is not recommended to buy. The case of assessing typhoon risk shows that the model can dynamically assess typhoon risks with respect to different months and landing situations.

A Risk Radar driven by Internet of intelligences serving for emergency management in community

Today, most of the commercial risk radars only have the function to show risks, as same as a set of risk matrixes. In this paper, we develop the Internet of intelligences (IOI) to drive a risk radar monitoring dynamic risks for emergency management in community. An IOI scans risks in a community by 4 stages: collecting information and experience about risks; evaluating risk incidents; verifying; and showing risks. Employing the information diffusion method, we optimized to deal with the effective information for calculating risk value. Also, a specific case demonstrates the reliability and practicability of risk radar.

An Approach to Ranking Integrated Models for Risk Assessment by Using the Internet of Intelligences

In natural disaster risk assessment, it is referred to as integrated model which is used to integrate information. The statistical model is essentially integrated model. Usually, people try to search the reasons that choose a model from the theory or case. Based on the thinking of experimental riskology, this paper puts forward with the idea that an experimental platform, which is used to test integrated models, can be built with the Internet of intelligences. In this way, models can be ranked, that provides some reference for the users. In this paper, the models of analytic hierarchy process, the median method corresponding to time and comprehensive evaluation method are used to integrate the useful information provided by three agents online in the gobang game, and then play with the computer. Through analyzing the results of Human-Computer Fighting people can judge which model is better. The experimental results show that for gobang, the effect of simple comprehensive evaluation method is better than analytic hierarchy process.

Internet of Intelligences Can Be a Platform for Risk Analysis and Management

ABSTRACTIn this article, we clarify the concept of the Internet of Intelligences (IOI) to be a platform for risk analysis. An IOI is a triple consisting of a set of agents, a network, and a model. A process of processing homological information is a layer. An IOI with more than one layer is a Multiple Internet of Intelligences (M-IOI). If agents in an M-IOI not only provide information in response to a question asked by a customer but also review information from other agents and summarize it, we refer to this as a summarizing M-IOI. In this article, a simplest M-IOI is used to answer a question issued by an insurance company considering selling policies in Wenzhou, China, where the level of typhoon risk is high. We employ the normal diffusion model to process the summaries and give an adequate answer.

Multiple Internet of Intelligences for Risk Analysis

In this study, we define a multiple Internet of intelligences (M-IOI) as the processing of homological information in layers. If agents in an M-IOI not only provide information in response to a question asked by a customer but also review information from other agents and summarize it, we refer to this as a summarizing M-IOI. The fuzzy mathematics method of normal diffusion is suggested to transform the summaries into fuzzy sets so that a satisfactory answer to the question is given. A summarizing M-IOI is used in a case study of typhoon dynamic risk in Wenzhou, China, where an insurance company wants to know whether the level of the risk will increase significantly. The effective knowledge in a summarizing M-IOI is measured to evaluate the quality of the answer. We also discuss the relation between IOIs and a global brain.

Types of Credit Risks and Strategies to Improve Risk Identification by Internet of Intelligences

Types of Credit Risks and Strategies to Improve Risk Identification by Internet of Intelligences

Internet of Intelligences in Risk Analysis for Online Services

Internet of Intelligences in Risk Analysis for Online Services

Internet of Intelligences in Risk Analysis for Online Services

Internet of Intelligences in Risk Analysis for Online Services