Intelligent Functions Research Articles

The Effect of Short Video on People’s Subjective Well-being

In recent years, short video has developed rapidly and gradually become a daily companion in the mobile era. Short video has become the main market and attract lots of users in China. Would short video influence Chinese people’s subjective well-being and how it affect people’s happiness is worth to be examined.This research is conducted following 3 objectives: (1)To study the current use of short video among users. (2)To analyze the relationship between short video and users’ subjective well-being. (3) To study the differences of the effects of short video usage on subjective well-being of users of different ages. This research uses in-depth interview and literature Research Method.The findings are as followed: (1) The users spend long time on watching short video, and people watch different length of short video. (2) In terms of preference content, young people prefer entertainment and leisure, and middle-aged and elderly people prefer videos that focus on skills in life and self-improvement. (3) In general, some interviewees think that short videos can improve their subjective well-being, but some interviewees have no obvious feeling about it. (4) Short videos would influence users’ positive affect and negative affect, which involves all ages. In terms of the life satisfaction after watching short video, most of the interviewees think their life satisfaction has no change or is improved. (5) There are many factors influence users’ subjective well-being, include personality trait, comparative psychology, the time spending on short video, the length of short video, the content of short video, intelligent push function, page desire, frequency of use and professions. (8) There are some differences on the effect effects of short video usage on subjective well-being of users of different ages.

An adaptive frequency regulation strategy with high renewable energy participating level for isolated microgrid

To improve the renewable energy sources (RES) utilization of isolated microgrids (IMG) in frequency regulation process, an adaptive frequency regulation strategy with high renewable energy participating level is proposed in this paper: 1) an adaptive droop control method is conceived for primary frequency regulation, in which the designed droop coefficients are adjustable with the real-time wind velocity and state of charge (SoC) of energy storage units (ESUs); as the most important contribution, 2) a general flexible model predictive control (FMPC) framework with adaptive cost function and constraints is developed for secondary frequency regulation. For 2), i) the weight coefficients of the cost function can be adaptively adjusted according to frequency deviation through a pre-designed intelligent function, in which the specification of determining the key parameters is involved; ii) the designed constraints' boundaries can dynamically shift with wind velocity and ESU's SoC; iii) the negative impact of model's uncertainties can also be mitigated by implementing the proposed FMPC. Finally, the effectiveness of the proposal is verified by the comprehensive simulation and experimental study, and the results show that the proposal can significantly improve RES's utilization level while guaranteeing frequency regulation performance and operation safety in IMG.

Mussel-inspired HA@TA-CS/SA biomimetic 3D printed scaffolds with antibacterial activity for bone repair.

Bacterial infection is a major challenge that could threaten the patient's life in repairing bone defects with implant materials. Developing functional scaffolds with an intelligent antibacterial function that can be used for bone repair is very important. We constructed a drug delivery (HA@TA-CS/SA) scaffold with curcumin-loaded dendritic mesoporous organic silica nanoparticles (DMON@Cur) via 3D printing for antibacterial bone repair. Inspired by the adhesion mechanism of mussels, the HA@TA-CS/SA scaffold of hydroxyapatite (HA) and chitosan (CS) is bridged by tannic acid (TA), which in turn binds sodium alginate (SA) using electrostatic interactions. The results showed that the HA@TA-CS/SA composite scaffold had better mechanical properties compared with recent literature data, reaching 68.09MPa. It displayed excellent degradation and mineralization capabilities with strong biocompatibility in vitro. Furthermore, the antibacterial test results indicated that the curcumin-loaded scaffold inhibited S.aureus and E.coli with 99.99% and 96.56% effectiveness, respectively. These findings show that 3D printed curcumin-loaded HA@TA-CS/SA scaffold has considerable promise for bone tissue engineering.

Exploring the application of intelligent concrete in highway engineering

All leaps in civil engineering are inseparable from the change of materials, and with the development and progress of construction technology at this stage, the status of new materials with intelligent functions is rising. Taking highway engineering as an example, the use of intelligent materials can break through the bottlenecks faced in the traditional highway industry and become an important way to solve its own problems. This background to explore the types of intelligent concrete and the application of ways to provide a certain reference basis for relevant design research.

Reliability and Agreement of an Integrated Platform for Intelligent Visual Function Measurement.

Phoropters are widely accepted for clinical use in refraction examination and visual function assessment. This study assessed the reliability of the new Inspection Platform of Visual Function (IPVF) in comparison with the conventional equipment phoropter (TOPCON VT-10) in visual function assessment. This prospective study enrolled 80 eyes of 80 healthy subjects. The horizontal phoria at distance and near (Phoria_D and Phoria_N, respectively) was measured with the von Graefe method, negative/positive relative accommodation (NRA/PRA) was measured with the positive/negative lens method, and accommodative amplitude (AMP) was measured with the minus lens method. Data of three consecutive measurements with each instrument were evaluated using the intraclass correlation coefficient (ICC) for repeatability, and the agreement of the two instruments was evaluated using a Bland-Altman plot. The ICCs of the three consecutive measurements for phoria, NRA/PRA, and AMP using the IPVF instrument were high (0.87-0.96), indicating high repeatability. The ICCs of the three consecutive measurements using the phoropter were high (0.914-0.983) for phoria, NRA, and AMP, indicating high repeatability, while that of PRA was 0.732 (between 0.4 and 0.75), indicating acceptable repeatability. The 95% limits of agreement of phoria, NRA/PRA, and AMP were narrow, indicating good agreement between the two instruments. The repeatability of both instruments was high, and the IPVF instrument was slightly better in terms of PRA repeatability than the phoropter. The agreement of phoria, NRA/PRA, and AMP measured by the new IPVF instrument and phoropter was also satisfactory.

Analysis of Networks and Digital Systems by Using the Novel Technique Based on Complex Fuzzy Soft Information

In the last few years, intelligent industrial systems and consumer electronics are being developed extensively and broadly. Fuzzy logic and fuzzy techniques that integrate these approaches are recognized as effective ways to realize such intelligent functions. These intelligent systems rely on fuzzy control techniques i.e., common sense rules to describe system behavior instead of complex mathematical models. This work provides solutions to such uncertainties and aids in the relative decision-making processes. To this end, an innovative concept of complex fuzzy soft relation (CFSR) is defined based on the Cartesian product (CP) between two complex fuzzy soft sets (CFSSs). The main goal of this analysis is to develop some new and valuable concepts which will be suitable for managing awkward and unreliable information in real-life problems. The proposed idea is more dominant and superior to the prevailing ideas, where the presented idea is the modified technique of two different theories, called fuzzy set (FS) and soft set (SS). In addition, some reliable results have also been proved. Moreover, an application of the proposed techniques is proposed which demonstrates the process of choosing a good network. Finally, the advantages of the proposed framework are explained by the comparison with pre-existing frameworks.

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Design of Medium and Long Distance Satellite Signal Transmission Scheme Based on Baseband Resource Pool

In order to solve the problems such as the delay and jitter in the transmission of medium and long distance satellite signals, as well as the transmission capacity, switching capacity, number of ports and optical crossover capability caused by multiple high rate channels, a signal transmission scheme based on baseband resource pool was proposed in this paper. Firstly, through OTN device, intelligent switching function is introduced to increase optical crossover capability to reduce the long distance transmission delay. On this basis, the baseband resource pool technology was used to construct large-scale optical cross network, and then realized the dynamic sharing and allocation of baseband processing resources. Experimental results show that the proposed scheme can provide deterministic low time delay, and the clock synchronization accuracy can reach less than 50PPB.

High-performance smart cellulose nanohybrid aerogel fibers as a platform toward multifunctional textiles

Smart fibers capable of real-time multi-responses to external stimuli (e.g., thermal, electrical, mechanical, and humidity) and offering shielding from electromagnetic interference (EMI) as well as energy storage/conversion are essential units for wearable electronics and smart textiles. However, designing flexible and high-strength smart fibers with intelligent and integrative functions based on biomass resources is still a challenge. Herein, biodegradable, flexible, and high-strength (20.8 MPa) holocellulose nanofibrils/cellulose aerogel fibers (HCAFs) with high specific surface area (413 m2/g) and high porosity (85 %) are fabricated continuously and on large-scale via a nano-hybrid strategy and facile wet-spinning approach. The resulting smart textile woven with HCAFs exhibits excellent self-cleaning and thermal insulation performances over a wide temperature range. Furthermore, our fabricated holocellulose nanofibrils/carbon nanotubes/cellulose aerogel fiber (HCCAFs) textile shows outstanding thermal management and multifunctional sensing capabilities of human motions, temperature, humidity, and body fluid as well as EMI shielding performance. HCCAFs textile coupled with a thermoelectric generator can achieve highly efficient and reversible energy storage/conversion as well as solar-thermal-electrical power generation for power supply. The washing process has a negligible influence on mechanical properties, conductivity properties, and thermal insulation of the textile. These newly developed fibers represent very promising candidates for the next generation of wearable materials capable of multifunctional sensing, outstanding thermal insulation, high-quality thermal management, and power autonomy (e.g., in space suits).

How do automated reasoning features impact the usability of a clinical task management system? Development and usability testing of a prototype

BackgroundElectronic clinical task management systems (ECTMSs) have been developed and adopted by care providers to improve care coordination. Some systems utilised automated reasoning (AR) to enable more intelligent task management functionalities, such as automated task allocation. Yet, the impact of such features on usability remains unclear. Poor usability of health information systems has been described to cause frustration and contribute to patient safety incidents. AimTo design AR features for an ECTMS and to evaluate their impact on usability. MethodsIn this mixed methods study, four ECTMS feature prototypes were co-designed with two clinicians. For each prototype, one AR variant and one non-AR variant with equivalent functionalities were developed. A moderated usability testing was conducted with seven clinicians to obtain ease-of-use ratings of prototypes and measure task durations. Parameters related to demographics and attitudes of participants were obtained via a questionnaire. A framework analysis was performed to summarise qualitative feedback. To determine statistical relationships of study variables, Spearmańs rank coefficients were calculated and presented as a correlation matrix. ResultsThree out of four prototypes received higher median ease-of-use ratings for AR variants and were associated with shorter average task durations. Multiple clinical use cases suitable for AR were identified. Preference for AR was found to moderately correlate with digital proficiency and prior experience with ECTMSs. Insufficient trust in automation, alert fatigue, and system customisation were identified as challenges in the adoption of AR features. ConclusionsThis study provides evidence for the potential of AR to enhance usability in ECTMSs. Consideration of psychological and organisational context of users in the feature design was found to be decisive for usability. Future research should explore implications for operational and clinical outcomes.

Fusing Intelligence and Strategy Capabilities: The MIQ Experience

New Zealand’s Managed Isolation and Quarantine (‘MIQ’) was a rapidly established, distributed isolation and quarantine capability, designed to maintain the restricted international movement of people into New Zealand between April 2020 and August 2022 and to provide some of these services to those in our communities. The rapid establishment of this complex function (in addition to the fast-changing COVID-19 landscape) led to the requirement for quick operational decisions, with strategic impacts, often being made with limited information. The MIQ Future Strategy Team (FST) was established in August 2021 to enhance MIQ leadership’s ability to make robust future-focused strategic decisions. It successfully achieved this by (uniquely) establishing an intelligence and strategy ‘fused’ capability, delivering integrated planning and predictive analysis in a manner not achievable via a single discipline. Its success demonstrated the compound value of fusing complementary business functions and adopting intelligence functionality within business environments unfamiliar with these concepts. This article explores how this was achieved, conveys lessons identified through this journey and describes three case studies which highlight FST outputs.

The existing problems and development path of Chinese automobile culture

At present, our country has entered the automobile society, automobile culture is flourishing, automobile is no longer just a transportation tool, but the practical, scientific and intelligent comprehensive carrier, the position and function of automobile culture are highlighted. This paper summarizes the existing problems of our automobile culture, and on this basis puts forward the future path of automobile culture development, exploring the feasible countermeasures to development of our automobile culture.

Novel Secure Data Transmission Methods for IoT Based on STP-CS With Multilevel Critical Information Concealment Function

The Internet of Things (IoT) is a large-scale network of various sensing devices connected via the Internet to achieve intelligent functions. Efficient secure data transmission is a significant guarantee for specific functions of IoT. In recent years, compressive sensing (CS) has been applied to the field of the IoT and a substantial number of CS-based IoT data transmission schemes have been proposed. While existing IoT data transmission schemes based on CS could mostly accomplish signal sampling, data compression, and encrypted transmission, the goal of privacy protection has rarely been achieved. Based on chaos theory and semi-tensor product CS (STP-CS), this article proposes two novel secure data transmission methods for different scenarios of IoT: 1) multiple concealing method (MC method) and 2) precise concealing method (PC method). Both methods can provide different levels of reconstruction results for different receivers with various authorization levels. The feasibility, storage requirements, robustness, and security of the proposed methods are theoretically analyzed and experimentally simulated. The results show that the proposed methods ensure both the stability and security of data transmission, save storage space of sensors, and flexibly protect the privacy of the content of data transmitted.

Advanced Bioinspired Organic Sensors for Future‐Oriented Intelligent Applications

AbstractBioinspired organic sensors with excellent flexibility, biocompatibility, sensing performance, and self‐adaptability have attracted considerable attention due to their fundamental role in next‐generation intelligent sensory systems with simultaneous sensing and processing functions, such as advanced robots, disease diagnosis, Internet of Things, human–robot interaction systems, and beyond. The design of advanced bioinspired organic sensors requires a deep understanding of the interplay between the unique material property, sensing mechanism as well as intelligent functionality. Here, the recent progress of bioinspired organic sensors for artificial perceptron covering visual, tactile, and other bionic sensors from the view of materials, sensing mechanisms, and functionality, is summarized. Furthermore, the intelligent applications of bioinspired organic sensors, including associative learning, information security, electronic skin, and integrated artificial sensory systems, are presented. Finally, the potential challenges and prospects of bioinspired organic sensors are discussed, providing a promising avenue toward advanced bioinspired organic sensors for future‐oriented intelligent applications.

INTELLIGENT RADIO INTERFACE WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE

The peculiarities of the implementation of the 6G intelligent radio interface infrastructure, which will use an individual configuration for each individual subscriber application and flexible services with lower overhead costs, have been studied. A personalized infrastructure consisting of an AI-enabled intelligent physical layer, an intelligent MAC controller, and an intelligent protocol is considered, followed by a potentially novel AI-based end-to-end (E2E) device. The intelligent controller is investigated, in particular the intelligent functions at the MAC level, which may become key components of the intelligent controller in the future. The joint optimization of these components, which will provide better system performance, is considered. It was determined that instead of using a complex mathematical method of optimization, it is possible to use machine learning, which has less complexity and can adapt to network conditions. A 6G radio interface design based on a combination of model-driven and data-driven artificial intelligence is investigated and is expected to provide customized radio interface optimization from pre-configuration to self-learning. The specifics of configuring the network scheme and transmission parameters at the level of subscriber equipment and services using a personalized radio interface to maximize the individual user experience without compromising the throughput of the system as a whole are determined. Artificial intelligence is considered, which will be a built-in function of the radio interface that creates an intelligent physical layer and is responsible for MAC access control, network management optimization (such as load balancing and power saving), replacing some non-linear or non-convex algorithms in receiver modules or compensation of shortcomings in non-linear models. Built-in intelligence has been studied, which will make the 6G physical layer more advanced and efficient, facilitate the optimization of structural elements of the physical layer and procedural design, including the possible change of the receiver architecture, will help implement new detection and positioning capabilities, which, in turn, will significantly affect the design of radio interface components. The requirements for the 6G network are defined, which provide for the creation of a single network with scanning and communication functions, which must be integrated into a single structure at the stage of radio interface design. The specifics of carefully designing a communication and scanning network that will offer full scanning capabilities and more fully meet all key performance indicators in the communications industry are explored.

Model Construction of Chinese Preservice Physical Education Teachers’ Perception of Social Media: A Grounded Theory Approach

(1) Background: Pre-service physical education teachers commonly embrace social media for multiple purposes. However, little is known about their perception of social media, which could affect the appropriate use of social media in their future professional work. This study aims to explore a theoretical model of how pre-service physical education teachers perceive social media in order to provide a basis for educators to guide their appropriate use of social media. (2) Methods: Qualitative data were collected in diverse ways, mainly from interviews. Seventeen Chinese preservice physical education teachers were selected as participants by a purposive sampling technique. The interview questions focused on participants' motivation, expectations, and experiences in social media usage. Grounded theory was used to analyze the data by ROST CM and Nvivo 12. (3) Results: The perception of social media among teachers includes three subsidiary categories made up of 10 sub-categories, 70 concepts, and 307 labels. The three categories are (a) value perception, including the perspective of intelligent function, interaction, and rich information, (b) risk perception, involving psychological risk, information risk and privacy risk and (c) overall perception, like development trends, current status and basic elements. (4) Conclusions: Chinese preservice physical education teachers perceive social media as having similarities and differences compared to other countries. Future research should consider a large sample survey to revise and verify the initial exploration of perception and study diverse groups of teachers' perceptions of social media.

Implementasi Teknologi Barcode Untuk Pintu Ruangan Dengan PI Camera

Providing a door security system makes it essential that the latest technology is being applied to carry out this purpose. University classrooms usually implement automatic door locks equipped with sensors to allow access to the classroom. Door access requires more autonomous, integrated and intelligent functions to enhance the usability of automatic smart locks. This research demonstrates the development of a secure door lock system using Quick Response (QR) technology and PI Camera to access classrooms at universities where authorized persons will also be able to monitor who has accessed the classroom. The system can log data and track entry and exit access when accessing the security door from the website server. In this case, the authorized individual will only get permission to access the door. This is initial work to test the function of the system for property and facility use such as in offices, universities, and laboratories. Based on the results and data collection, the testbed development has worked well as a preliminary study to provide smart security doors using QR Code.

Integrated sensing and communication in an optical fibre

The integration of high-speed optical communication and distributed sensing could bring intelligent functionalities to ubiquitous optical fibre networks, such as urban structure imaging, ocean seismic detection, and safety monitoring of underground embedded pipelines. This work demonstrates a scheme of integrated sensing and communication in an optical fibre (ISAC-OF) using the same wavelength channel for simultaneous data transmission and distributed vibration sensing. The scheme not only extends the intelligent functionality for optical fibre communication system, but also improves its transmission performance. A periodic linear frequency modulation (LFM) light is generated to act as the optical carrier and sensing probe in PAM4 signal transmission and phase-sensitive optical time-domain reflectometry (Φ-OTDR), respectively. After a 24.5 km fibre transmission, the forward PAM4 signal and the carrier-correspondence Rayleigh backscattering signal are detected and demodulated. Experimental results show that the integrated solution achieves better transmission performance (~1.3 dB improvement) and a larger launching power (7 dB enhancement) at a 56 Gbit/s bit rate compared to a conventional PAM4 signal transmission. Meanwhile, a 4 m spatial resolution, 4.32-nε/sqrt {Hz} strain resolution, and over 21 kHz frequency response for the vibration sensing are obtained. The proposed solution offers a new path to further explore the potential of existing or future fibre-optic networks by the convergence of data transmission and status sensing. In addition, such a scheme of using shared spectrum in communication and distributed optical fibre sensing may be used to measure non-linear parameters in coherent optical communications, offering possible benefits for data transmission.

To Study the Effect of Anterior Palatal Surface Modifications of Complete Denture on Speech Intelligibility Oral Perception and Cortical Brain Function Activity: An In Vivo Study.

The classic maxillary full denture covers the whole palate,preventing the tongue from touching the denture base tissues itself.Thus, it has deleterious effects on cortical brain function and the ability to understand spoken language. This study aimed to determinethe effect of anterior palatal surface modifications of the complete denture on speech intelligibility oral perception and cortical brain function activity. This study compared the speech clarity, oral discernment, and cortical mind capability activity of complete denture wearers in three study groups: a)complete denture wearers with a small opening (SO) in the maxillary front palatal base; b) complete denture patients who wear regular complete denture; c) complete denture patients who did not wear complete denture; and d) complete denture patients who wear a functionally contoured modified palate(FCMP). Patients with no teeth at all underwent four phases of testing to assess their cognitive abilities and speech quality (pitch and volume). In the first phase, partial dentures were used. During phase 2, a conventional full denture was inserted.In the third phase, a palatal base denture was functionally altered. In phase 4, dentures with a little aperture at the front of the palatal base were used. Results:The values of pitch and intensity of sound in category A with FCMP modification I were 180.76 ± 24.12 and 73.27 ± 9.74,respectively. On the other hand, the values of pitch and intensity of sound in category B with FCMP modification I were 185.41 ± 27.29and 73.91 ± 8.31, respectively. The values of pitch and intensity of sound in category A with SO modification II were 188.52 ± 21.11 and 76.13 ± 5.21, respectively. On the other hand, the values of pitch and intensity of sound in category B with SO modification II were 194.59 ± 24.02and 75.21 ± 6.12, respectively. The findings for values of pitch and intensity were statistically significant among the four phases (p < 0.001). The highest speech intelligibility and cortical brain function were observed in phase 4 in both categories A and B, with the highest scores by experts of 3.21 and 3.42, respectively. Conclusion:Based on the findings of this in vivo investigation, it can be concluded that using modified dentures (modification types I and II) following denture installation improves speech intelligibility, oral perception, and cortical brain function activity.

Students' Use of the Artificial Intelligence Language Model in their Learning Process

Generative Artificial Intelligence (GAI), of which ChatGPT is an exemplary tool, is beginning to revolutionize the way people search for information and use the information they acquire in their personal and professional lives. ChatGPT is showing a strong track record in a variety of tasks, such as generating text, summarizing text and answering questions during a conversation. It has the potential to revolutionize a wide range of fields - including education. The purpose of this article is to evaluate the extent to which the ChatGPT language model can be applied in the learning process for two types of students: full-time and part-time. Additionally, this article assesses the level of students' familiarity with intelligent chat functionality and their ability to construct queries directed to it. The study found that the use of an advanced language model based on artificial intelligence is more beneficial for full-time students in the learning process. However, there was no statistically significant difference in the knowledge of intelligent chat functionality and the ability to construct queries directed to it between full-time and part-time students.