Synthesizing insights from a dynamic capability perspective and social network theory, this study identifies the factors influencing green innovation and examines the relationships between influencing factors, green innovation, and performance. This study uses structural equation modeling to test the research hypotheses. The results indicate that dynamic capability, coordination capability, and social reciprocity are significant drivers of green innovation, including green product innovation and green process innovation. Green product and process innovation have positive effects on environmental performance and organizational performance. These (...) findings are relevant to firms in quest of green management and innovation. (shrink)

Uncertainty is inherent in new and unexpected viral outbreaks such as the current COVID-19 pandemic. It imposes challenges for health officials in soliciting cooperative behavioural changes based on incomplete information. In this paper, we use evolving mask recommendations in the United States as an example to analyse the ethical importance and practical demonstration of trustworthiness in pandemic messaging and decision-making. We argue that responsible public health interventions in the time of uncertainties requires explicit intersecting ethical considerations both in action and (...) in communication to promote trustworthiness. First, as public health decisions have to be made in the face of incomplete and evolving data, health officials need to exhibit competence while committing to epistemic humility. They can explain the methods used in making and updating mask recommendations as well as explicitly acknowledge the need to incorporate sociocultural and other contextual considerations in translating scientific data into mask recommendations. Second, officials and agencies must uphold and communicate decisional transparency as part of their effort to demonstrate accountability and promote the public’s understanding of the evolving pandemic. Third, especially since both the pandemic and mask recommendations may have disparate impact on different populations, officials should start with the fair implementation of the least restrictive measures that can help reduce harm. (shrink)

This research focuses on the employee loyalty aspect of private hospitals in Pakistan during the COVID-19 pandemic, seriously impacted by strict work demand and work-family conflict. To manage this issue, social rewards and psychological rewards played a role as a mediator. The study uses a causal research design with a correlational study design in a non-contrived environment. Minimal researcher interference has been assured. AMOS 24 has been used to deal with the mediation in study design with bootstrap methodology. The study (...) was conducted on 250 nurses of different private hospitals across Punjab province using a proportionate stratified sampling technique. A finding of this study suggests that nurses remain loyal to their organizations despite having uncompromising work demands and facing work-family conflict when they are provided with social and psychological rewards on their job by their organizations. (shrink)

This study decodes consumers' preference levels using a convolutional neural network in neuromarketing. The classification accuracy in neuromarketing is a critical factor in evaluating the intentions of the consumers. Functional near-infrared spectroscopy is utilized as a neuroimaging modality to measure the cerebral hemodynamic responses. In this study, a specific decoding structure, called CNN-based fNIRS-data analysis, was designed to achieve a high classification accuracy. Compared to other methods, the automated characteristics, constant training of the dataset, and learning efficiency of the proposed (...) method are the main advantages. The experimental procedure required eight healthy participants to view commercial advertisement videos of different durations. The cerebral hemodynamic responses of the participants were measured. To compare the preference classification performances, CNN was utilized to extract the most common features, including the mean, peak, variance, kurtosis, and skewness. Considering three video durations, the average classification accuracies of 15, 30, and 60 s videos were 84.3, 87.9, and 86.4%, respectively. Among them, the classification accuracy of 87.9% for 30 s videos was the highest. The average classification accuracies of three preferences in females and males were 86.2 and 86.3%, respectively, showing no difference in each group. By comparing the classification performances in three different combinations between two groups, male participants were observed to have targeted preferences for commercial advertising, and the classification performance 88.4% between “like” vs. “dislike” out of three categories was the highest. Finally, pairwise classification performance are shown as follows: For female, 86.1%, 87.4%, 85.2%, and for male 85.7, 88.4, 85.1%, respectively. (shrink)

Adverse childhood experiences are known to have deleterious effects on individuals across the life span, but less is known about how they affect grit, a strong predictor of achievements and well-being. This study seeks to investigate the effect of ACEs on grit in a sample of Chinese college students during the COVID-19 pandemic. Data were collected from 1,871 students across 12 universities in China. Findings indicated a significant effect of ACEs on grit, particularly abuse and neglect dimensions of ACE. Since (...) grit is particularly important for professional success, those who have experienced abuse and neglect victimization may struggle throughout their education, and subsequently, in their careers. This calls for interventions to buffer the effects of ACEs on grit. (shrink)

Drawing upon conservation of resources theory, we develop and test a theoretical model that specifies how and when employee humor toward leaders affects leader abusive supervision. We propose that employee humor is negatively associated with leader abusive supervision via leader relational energy. Furthermore, the negative indirect relationship between employee humor and leader abusive supervision via leader relational energy is stronger for female leaders than for male leaders. An experiment and a multi-wave, multi-source field study provide substantial support for our hypotheses. (...) Our findings contribute to the abusive supervision literature by identifying employee humor as a safe and effective bottom-up approach to prevent leader abusive supervision. (shrink)

Recent research has linked the reduction of abnormal accruals to corporate governance metrics. The results of these studies, however, are based on samples taken from periods prior to promulgated board independence requirements. In other words, during this time period, management not only had discretion over accounting accruals, but also significant influence over the choice of membership on the board of directors. This study suggests that ethical management practices may be a correlated omitted variable in these studies, thus resulting in causal (...) inference problems in the previous research. We argue that, rather than the board of directors monitoring and reducing abnormal accruals as has been posited, management who was not engaging in abusive earnings management was attempting to signal the market regarding the quality of the firm’s financial information through its choice of board membership. (shrink)

In various guises (usually referred to as the “basic emotion” or “discrete emotion” approach), scientists and philosophers have long argued that certain categories of emotion are natural kinds. In a recent paper, Colombetti (2009) proposed yet another natural kind account, and in so doing, characterized and critiqued psychological constructionist approaches to emotion, including our own Conceptual Act Model. In this commentary, we briefly address three topics raised by Columbetti. First, we correct several common misperceptions about the discrete emotion approach to (...) emotion. Second, we discuss misconceptions of our Conceptual Act Model. Finally, we briefly comment on Columbetti's Dynamical Discrete Emotion model. (shrink)

Given the current shortage of kindergarten teachers, this study examines the relationship between empowering leadership and job satisfaction among kindergarten teachers in China from the perspective of their job characteristics and the Chinese cultural context. The participants were 557 Chinese kindergarten female teachers whose average number of years of experience was 2.82. They completed a self-report survey regarding empowering leadership, vigor, affective commitment, and job satisfaction. The study results show that vigor and affective commitment could mediate the relationship between empowering (...) leadership and job satisfaction. Finally, we discuss the findings of this study in depth. At the same time, we suggest that administrators should focus on the empowering leadership of Chinese kindergarten teachers, strive to increase their level of dynamism, and finally, strengthen the emotional connection between the organization and the Chinese kindergarten teachers. Thus, we suggest that educational administrators should empower kindergarten teachers more, rather than allowing them to be mere enforcers. In addition, how to enhance the individual dynamics of early childhood teachers and their emotional connection to the organization may also be something for educational administrators to consider. (shrink)

IntroductionThe idea of neutrality is one of the trademarks and also one of the most controversial ideas of contemporary liberalism as a political philosophy. One part of this idea is that, in determining the political principle of justice, the state should be neutral with respect to individuals’ religious and metaphysical conceptions of the good or the lack thereof. In their argument against political liberalism, communitarian philosophers such as Alasdair MacIntyre and Charles Taylor have argued the opposite: the political conception of (...) justice must be embedded in some type of religious or metaphysical conception of the good. In contrast to these communitarians, regarded as radical perfectionists, a number of other philosophers, notably George Sher, Thomas Hurka, Joseph Raz, and Derek Parfit, have adopted a moderate version of perfectionism by shifting to a different battlefield against the liberal idea of neutrality. In addition to religious and metaphysical conceptions of the good, .. (shrink)

Water quality prediction is the basis of water environmental planning, evaluation, and management. In this work, a novel intelligent prediction model based on the fuzzy wavelet neural network including the neural network, the fuzzy logic, the wavelet transform, and the genetic algorithm was proposed to simulate the nonlinearity of water quality parameters and water quality predictions. A self-adapted fuzzy c-means clustering was used to determine the number of fuzzy rules. A hybrid learning algorithm based on a genetic algorithm and gradient (...) descent algorithm was employed to optimize the network parameters. Comparisons were made between the proposed FWNN model and the fuzzy neural network, the wavelet neural network, and the neural network. The results indicate that the FWNN made effective use of the self-adaptability of NN, the uncertainty capacity of FL, and the partial analysis ability of WT, so it could handle the fluctuation and the nonseasonal time series data of water quality, while exhibiting higher estimation accuracy and better robustness and achieving better performances for predicting water quality with high determination coefficients R2 over 0.90. The FWNN is feasible and reliable for simulating and predicting water quality in river. (shrink)

In this paper I shall first examine an apparent paradox in Confucius? view on whether everyone is perfectible through education: on the one hand, he states that education should be provided to all, on the other hand, he says that common people cannot be made to know things. To understand this apparent paradox, I shall argue that education for Confucius is primarily moral education, as he teaches his students to become virtuous persons. So the apparent paradox is really one about (...) whether virtue can be taught. I shall argue in the last section that while Confucius? answer to the question is affirmative, he does not think that virtue can be taught in the same way as theoretical knowledge or technical skills are taught. For Confucius, the most effective way to teach people to be virtuous is through personal example. (shrink)

The concept of work engagement has aroused the interest of many scholars. However, there has been limited academic research in examining how authentic leadership can influence WE, which consequently influences organizational citizenship behavior and task performance. In particular, this study divides WE into cognitive engagement, emotional engagement, and physical engagement to fully reflect the engagement theory. This study introduces three dimensions of WE and tests the theoretical model to validate cognitive engagement, emotional engagement, and physical engagement. Empirical testing using a (...) survey of 151 employees of retail travel agencies in Taiwan revealed that the AL can influence cognitive engagement, emotional engagement, and physical engagement, and also OCB and TP. These analysis results can assist vendors to implement OCB and TP through WE and AL. (shrink)

In this research work, we have explored the physical and topological properties of the crystal structure of metal-insulator transition superlattice. In recent times, two-dimensional substantial have enamored comprehensive considerations owing to their novel ophthalmic and mechanical properties for anticipated employment. Recently, some researchers put their interest in modifying this material into useful forms in human life. Also, Metal-Insulator Transition Superlattice is useful in form of a thin film to utilize as two-dimensional transition metal dichalcogenides. Moreover, we have defined the computed-based (...) bond properties such as the degree constructed topological indices and their heat of formation for single crystal and monolayered structure of Ge-Sb-Te. Also, this structure is one of the most interesting composites in modern resources of science. (shrink)

The significance of horizontal gene transfer (HGT) in eukaryotic evolution remains controversial. Although many eukaryotic genes are of bacterial origin, they are often interpreted as being derived from mitochondria or plastids. Because of their fixed gene pool and gene loss, however, mitochondria and plastids alone cannot adequately explain the presence of all, or even the majority, of bacterial genes in eukaryotes. Available data indicate that no insurmountable barrier to HGT exists, even in complex multicellular eukaryotes. In addition, the discovery of (...) both recent and ancient HGT events in all major eukaryotic groups suggests that HGT has been a regular occurrence throughout the history of eukaryotic evolution. A model of HGT is proposed that suggests both unicellular and early developmental stages as likely entry points for foreign genes into multicellular eukaryotes. (shrink)

Recent studies of the rubber hand illusion (RHI) have shown that the sense of body ownership is constrained by several factors and yet is still very flexible. However, exactly how flexible is our sense of body ownership? In this study, we address this issue by investigating the following question: is it possible that one may have the illusory experience of owning four hands? Under visual manipulation, the participant adopted the experimenter’s first-person perspective (1PP) as if it was his/her own. Sitting (...) face to face, the participant saw four hands—the experimenter’s two hands from the adopted 1PP together with the subject’s own two hands from the adopted third-person perspective (3PP). We found that: (1) the four-hand illusion did not occur in the passive four-hand condition. (2) In the active four-hand condition, the participants tapped their index fingers, imitated by the experimenter. When tactile stimulations were not provided, the key illusion was not induced, either. (3) Strikingly, once all four hands began to act with the same pattern and received synchronous tactile stimulations at the same time, many participants felt as if they had two more hands. These results show that the sense of body ownership is much more flexible than most researchers have suggested. (shrink)

In functional magnetic resonance imaging studies, object selectivity is defined as a higher neural response to an object category than other object categories. Importantly, object selectivity is widely considered as a neural signature of a functionally-specialized area in processing its preferred object category in the human brain. However, the behavioral significance of the object selectivity remains unclear. In the present study, we used the individual differences approach to correlate participants’ face selectivity in the face-selective regions with their behavioral performance in (...) face recognition measured outside the scanner in a large sample of healthy adults. Face selectivity was defined as the z score of activation with the contrast of faces versus non-face objects, and the face recognition ability was indexed as the normalized residual of the accuracy in recognizing previously-learned faces after regressing out that for non-face objects in an old/new memory task. We found that the participants with higher face selectivity in the fusiform face area (FFA) and the occipital face area (OFA), but not in the posterior part of the superior temporal sulcus (pSTS), possessed higher face recognition ability. Importantly, the association of face selectivity in the FFA and face recognition ability cannot be accounted for by FFA response to objects or behavioral performance in object recognition, suggesting that the association is domain-specific. Finally, the association is reliable, confirmed by the replication from another independent participant group. In sum, our finding provides empirical evidence on the validity of using object selectivity as a neural signature in defining object-selective regions in the human brain. (shrink)

Background: Generally, a person with dementia may be unable to make decisions by themselves and professionals may decide what is best for them. Unfortunately, in most cases, professionals assist a person with dementia to make decisions without clear explanation or consent. Whether a person with dementia possesses dignity in routine care is an important issue. Research objectives: The purpose of this study was to explore the lived experience of the healthcare professionals in providing dignified dementia care in Taiwan. Research design: (...) A qualitative, hermeneutic-phenomenological approach was conducted. Participants: Participants were enrolled by purpose sampling. Researchers performed in-depth interviews to reveal the essential ingredient of dignity within dementia care in Taiwan. A total of 20 cases were enrolled to achieve data saturation. Ethical considerations: This study was approved by the institutional review board. Before conducting the interview, interviewees provided informed consent. Findings: There were three themes and six categories that were addressed and constructed; within the themes, 23 Guidelines for Taiwan Dignified Dementia Care and 12 Principles for Dignified Dementia Care in Taiwan were developed. Discussion: From the data relating to dignity in dementia care, we can develop a more independent and dignified care environment to improve the quality of life of person with dementia in Taiwan. Conclusion: The results indicated that dignity within dementia care was constructed by the lived experience of the healthcare professionals, as well as affected by the culture of the organizations and society at the same time. (shrink)

Emotional design is an important development trend of interaction design. Emotional design in products plays a key role in enhancing user experience and inducing user emotional resonance. In recent years, based on the user's emotional experience, the design concept of strengthening product emotional design has become a new direction for most designers to improve their design thinking. In the emotional interaction design, the machine needs to capture the user's key information in real time, recognize the user's emotional state, and use (...) a variety of clues to finally determine the appropriate user model. Based on this background, this research uses a deep learning mechanism for more accurate and effective emotion recognition, thereby optimizing the design of the interactive system and improving the user experience. First of all, this research discusses how to use user characteristics such as speech, facial expression, video, heartbeat, etc., to make machines more accurately recognize human emotions. Through the analysis of various characteristics, the speech is selected as the experimental material. Second, a speech-based emotion recognition method is proposed. The mel-Frequency cepstral coefficient of the speech signal is used as the input of the improved long and short-term memory network. To ensure the integrity of the information and the accuracy of the output at the next moment, ILSTM makes peephole connections in the forget gate and input gate of LSTM, and adds the unit state as input data to the threshold layer. The emotional features obtained by ILSTM are input into the attention layer, and the self-attention mechanism is used to calculate the weight of each frame of speech signal. The speech features with higher weights are used to distinguish different emotions and complete the emotion recognition of the speech signal. Experiments on the EMO-DB and CASIA datasets verify the effectiveness of the model for emotion recognition. Finally, the feasibility of emotional interaction system design is discussed. (shrink)

In this study, the authors utilize mountain pass lemma, variational methods, regularization technique, and the Lyapunov function method to derive the unique existence of the positive classical stationary solution of a single-species ecosystem. Particularly, the geometric characteristic of saddle point in the mountain pass lemma guarantees that the equilibrium point is the ground state stationary solution of the ecosystem. Based on the obtained uniqueness result, the authors use the Lyapunov function method to derive the globally exponential stability criterion, which illuminates (...) that under some suitable conditions, a certain internal competition is conducive to the global stability of the population, and a certain amount of family planning is conducive to the overall stability of the population. Most notably, the regularity technique of weak stationary solution employed in this study can also be applied to some existing literature related with time-delays reaction-diffusion systems for the purpose of regularization of weak solutions. Finally, an illuminative numerical example shows the effectiveness of the proposed methods. (shrink)

Load is the main external disturbance of a parallel robot manipulator. This disturbance will cause dynamic coupling among different degrees of freedom and make heaps of model-based control methods difficult to apply. In order to compensate this disturbance, it is crucial to obtain an accurate dynamic model of load. However, in practice, the load is always uncertain and its dynamic parameters are arduous to know a priori. To cope with this problem, this paper proposes a novel and simple approach to (...) identify the dynamic parameters of load. Firstly, the dynamic model of the parallel robot manipulator with uncertain load is established and the dynamic coupling caused by load is also analyzed. Then, according to the dynamic model, the excitation signal is designed and a weak nonlinear dynamic model is derived. Furthermore, the identification model is presented and the identification algorithm based on the extended Kalman filter is designed. Lastly, numerical simulation results, obtained using a six-degree-of-freedom Gough–Stewart parallel manipulator, demonstrate the good estimation performance of the proposed method. (shrink)

Emotion regulation plays a vital role in individuals’ well-being and successful functioning. In this study, we attempted to develop a computerized adaptive testing to efficiently evaluate ER, namely the CAT-ER. The initial CAT-ER item bank comprised 154 items from six commonly used ER scales, which were completed by 887 participants recruited in China. We conducted unidimensionality testing, item response theory model comparison and selection, and IRT item analysis including local independence, item fit, differential item functioning, and item discrimination. Sixty-three items (...) with good psychometric properties were retained in the final CAT-ER. Then, two CAT simulation studies were implemented to assess the CAT-ER, which revealed that the CAT-ER developed in this study performed reasonably well, considering that it greatly lessened the test items and time without losing measurement accuracy. (shrink)

Reinforcement learning relies on the reward prediction error (RPE) signals conveyed by the midbrain dopamine system. Previous studies showed that dopamine plays an important role in both positive and negative reinforcement. However, whether various reinforcement processes will induce distinct learning signals is still unclear. In a probabilistic learning task, we examined RPE signals in different reinforcement types using an electrophysiology index, namely, the feedback-related negativity (FRN). Ninety-four participants were randomly assigned into four groups: base (no money incentive), positive reinforcement (presentation (...) of money rewards), negative reinforcement (removal of money losses), and combined reinforcement (money rewards and removal of money losses) groups. In addition, in order to evaluate the engagement of emotional activity in the different reinforcement processes, Positive and Negative Affect Schedule-Expanded Form (PANAS-X) scales were applied before and after the experiment to detect the emotional changes. The results showed that there was no difference between groups in the dopamine-related learning bias. However, compared to the other three groups, negative reinforcement elicited smaller FRN (the difference-wave measure) during the learning, stronger positive affect and joviality, and less fatigue after the learning, in which the difference between the negative and positive reinforcement groups was smaller. The results indicated that pure avoidance motivation may induce distinct emotional fluctuations, which influence the feedback processing. (shrink)

Language understanding is one of the most important characteristics for human beings. As a pervasive phenomenon in natural language, metaphor is not only an essential thinking approach, but also an ingredient in human conceptual system. Many of our ways of thinking and experiences are virtually represented metaphorically. With the development of the cognitive research on metaphor, it is urgent to formulate a computational model for metaphor understanding based on the cognitive mechanism, especially with the view to promoting natural language understanding. (...) Many works have been done in pragmatics and cognitive linguistics, especially the discussions on metaphor understanding process in pragmatics and metaphor mapping representation in cognitive linguistics. In this paper, a theoretical framework for metaphor understanding based on the embodied mechanism of concept inquiry is proposed. Based on this framework, ontology is introduced as the knowledge representation method in metaphor understanding, and metaphor mapping is formulated as ontology mapping. In line with the conceptual blending theory, a revised conceptual blending framework is presented by adding a lexical ontology and context as the fifth mental space, and a metaphor mapping algorithm is proposed. (shrink)

Safeguarding GenAI models against threats and aligning them with security requirements is imperative yet challenging. This chapter provides an overview of the security landscape for generative models. It begins by elucidating common vulnerabilities and attack vectors, including adversarial attacks, model inversion, backdoors, data extraction, and algorithmic bias. The practical implications of these threats are discussed, spanning domains like finance, healthcare, and content creation. The narrative then shifts to exploring mitigation strategies and innovative security paradigms. Differential privacy, blockchain-based provenance, quantum-resistant algorithms, (...) and human-guided reinforcement learning are analyzed as potential techniques to harden generative models. Broader ethical concerns surrounding transparency, accountability, deepfakes, and model interpretability are also addressed. The chapter aims to establish a conceptual foundation encompassing both the technical and ethical dimensions of security for generative AI. It highlights open challenges and lays the groundwork for developing robust, trustworthy, and human-centric solutions. The multifaceted perspective spanning vulnerabilities, implications, and solutions is intended to further discourse on securing society’s growing reliance on generative models. Frontier model security is discussed using Anthropic proposed approach. (shrink)

This article endeavours to prove that there were creation myths of human beings or certain things, but there were seldom creation myths of ontological cosmology in ancient China. This will be warranted through the distinction between the concepts of ‘to create’ and ‘to beget’, the distinction between ‘Cosmology I of creationism’ and ‘Cosmology II of begetting’, and the relationship between the One and Many. The only exception is the myth of Nüwa 女娲 as the creator of human beings, but not (...) the creator of the cosmos. Therefore, in ancient Chinese tradition, there were mainly myths of begetting rather than myths of complete creation in the sense similar to creatio ex nihilo. Contribution: Previous research frequently underscores the profound differences between ‘Cosmology I of creationism’ and ‘Cosmology II of begetting’. Based on the discussion of concepts of ‘to create’ [ zao 造] and ‘to beget’ [ sheng 生], this article argues that, there were mainly myths of begetting rather than myths of complete creation in the sense similar to creatio ex nihilo. (shrink)

ObjectiveTo investigate post-traumatic stress disorder, perceived professional benefits and post-traumatic growth status among Chinese nurses in the context of the COVID-19 pandemic and to compare the differences between nurses working inside and outside Hubei.MethodsFrom February 18 to February 25, 2020, the authors constructed the questionnaire using the Questionnaire Star platform, and convenience sampling was used to distribute the questionnaire via WeChat. Nurses who worked at the hospital during the COVID-19 pandemic were the research subjects.ResultsA total of 3,419 questionnaires were received, (...) of which 2,860 nurses were working outside Hubei Province and 559 nurses were working inside Hubei Province. Both groups were exposed to COVID-19. The results indicated that gender, job title, department, average monthly income, the number of night shifts per month, hospital classification, specialization, and previous experience with assisting during disasters were statistically significant. The t-test results showed that the difference in perceived professional benefits scores between the two groups was not statistically significant, and the differences in PTG scores and PTSD scores between the two groups were statistically significant. The chi-square test indicated that the difference in PTSD prevalence between nurses working outside and inside Hubei Province was statistically significant and that the PTSD prevalence of nurses working outside Hubei Province was higher than that of nurses working inside Hubei Province. One-way ANOVA and independent sample t-test results showed that age, job title, job assignment, length of service, average monthly income, number of night shifts per month, number of children, and the Nurses’ Perceived Professional Benefits Scale and post-traumatic growth inventory scores influenced the prevalence of PTSD. Logistic regression showed that the occurrence of PTSD was associated with average monthly income, length of service, number of children, and the PTGI and NPPBS scores.ConclusionDuring the COVID-19 pandemic, nurses working outside Hubei Province reported greater PTSD than those working inside Hubei Province. The occurrence of PTSD was related to average monthly income, length of service, number of children, and the PTGI and NPPBS scores. (shrink)

Embodied Memories, Embedded Healing foregrounds the East Asian cultural beliefs and practices that shape the environmental consciousness of the twenty-first century. In highlighting such influences, this anthology also foregrounds the closely related new and exciting directions in ecocriticism.

This paper presents an active fault-tolerant control strategy for quadrotor helicopters to simultaneously accommodate sensor faults and external disturbances. Unlike most of the existing fault diagnosis and fault-tolerant control schemes for quadrotor helicopters, the proposed fault diagnosis scheme is able to estimate sensor faults while eliminating the effect of external disturbances. Moreover, the proposed fault-tolerant control scheme is capable to eliminate the adverse effect of external disturbances as well by designing a disturbance observer to effectively estimate the unknown external disturbances (...) and integrating with the designed integral sliding-mode controller. In this case, the continuous operation of the quadrotor helicopter is ensured while avoiding the unexpected control chattering. In addition, the stability of the closed-loop system is theoretically proved. Finally, the effectiveness and advantages of the proposed scheme are validated and demonstrated through comparative numerical simulations of the quadrotor helicopter under different faulty and uncertain scenarios. (shrink)

Aiming at the problem of real-time detection and location of moving objects, the deep learning algorithm is used to detect moving objects in complex situations. In this paper, based on the deep learning algorithm of wireless sensor networks, a novel target motion detection method is proposed. This method uses the deep learning model to extract visual potential representation features through offline similarity function ranking learning and online model incremental update and uses the hierarchical clustering algorithm to achieve target detection and (...) positioning; the low-precision histogram and high-precision histogram cascade the method which determines the correct position of the target and achieves the purpose of detecting the moving target. In order to verify the advantages and disadvantages of the deep learning algorithm compared with traditional moving object detection methods, a large number of comparative experiments are carried out, and the experimental results were analyzed qualitatively and quantitatively from a statistical perspective. The results show that, compared with the traditional methods, the deep learning algorithm based on the wireless sensor network proposed in this paper is more efficient. The detection and positioning method do not produce the error accumulation phenomenon and has significant advantages and robustness. The moving target can be accurately detected with a small computational cost. (shrink)