It came as a complete surprise to me that my paper "An Outline of a Theory Concerning the Philosophy of Kant and the Establishment of Subjectivity" [henceforth called "Outline"], written in commemoration of the 200th anniversary of the publication of Kant's Critique of Pure Reason and published in a relatively unknown location, gave rise to so much response. This seems to suggest that our younger generation longs to make a contribution to the fields of philosophy, and that they are searching (...) [for new avenues] to meet the nation's general goal of modernization as well as the challenge to answer the question about what direction the world is heading. However, that paper was just a preliminary sketch of what I had in mind, in order to raise certain questions. Although this paper is also still nothing more than a supplementary outline, I would like it to serve as a call for more exhaustive investigation. (shrink)

If we say that the school of Confucianism—Confucius, Mencius, and Xun Zi—focused on the nurturing and forming of the psychological temperament of man, that it emphasized humanizing the innate nature so that the natural physiological desires and the sensory needs of man—that "which is unavoidable in man's nature and feelings"—are nurtured in a societal way and attain societal functions, and that for this reason the state and results of its appreciation of beauty are often related to pleasing the ear, the (...) eye, the heart, and the mind, and on the whole are controlled by the realm of human relationships and ethics, then it is possible to say that the characteristics of Daoist aesthetics as represented by Zhuang Zi were precisely focused on transcending just this. (shrink)

If we say that on the level of form, works of art correspond to the humanization of sense perception in the human psychology, then on the level of the image, they correspond on the whole to the humanization of desire. As a result, their aesthetic effect is manifested as artistic sedimentation.

In the following, I will be speaking about my basic views regarding Chinese aesthetics. […] I identify four features that sum up the whole.

In behavioral research, exploring bivariate relationships between variables X and Y based on the concept of probability-of-superiority (PS) has received increasing attention. Unlike the conventional, linear-based bivariate relationship (e.g., Pearson's correlation), PS defines that X and Y can be related based on their likelihood—e.g., a student who is above mean in SAT has 63% likelihood of achieving an above-mean college GPA. Despite its increasing attention, the concept of PS is restricted to a simple bivariate scenario ( X - Y pair), (...) which hinders the development and application of PS in popular multivariate modeling such as structural equation modeling (SEM). Therefore, this study addresses an empirical-based simulation study that explores the potential of detecting PS-based relationship in SEM, called PS-SEM. The simulation results showed that the proposed PS-SEM method can detect and identify PS-based when data follow PS-based relationships, thereby providing a useful method for researchers to explore PS-based SEM in their studies. Conclusions, implications, and future directions based on the findings are also discussed. (shrink)

The rise and development of the characteristics of all peoples and nations, their cultural-psychological structure, and the formation and continuation of all traditions of thought originate in actual material existence.

Lithium-ion batteries have been widely used as energy storage systems and in electric vehicles due to their desirable balance of both energy and power densities as well as continual falling price. Accurate estimation of the state-of-charge of a battery pack is important in managing the health and safety of battery packs. This paper proposes a compact radial basis function neural model to estimate the state-of-charge of lithium battery packs. Firstly, a suitable input set strongly correlated with the package SOC is (...) identified from directly measured voltage, current, and temperature signals by a fast recursive algorithm. Secondly, a RBF neural model for battery pack SOC estimation is constructed using the FRA strategy to prune redundant hidden layer neurons. Then, the particle swarm optimization algorithm is used to optimize the kernel parameters. Finally, a conventional RBF neural network model, an improved RBF neural model using the two stage method, and a least squares support vector machine model are also used to estimate the battery SOC as a comparative study. Simulation results show that generalization error of SOC estimation using the novel RBF neural network model is less than half of that using other methods. Furthermore, the model training time is much less than the LSSVM method and the improved RBF neural model using the two-stage method. (shrink)

The influential stage of Internet of Things has reformed all fields of life in general but specifically with the emergence of artificial intelligence has drawn the attention of researchers into a new paradigm of life standard. This revolution has been accepted around the globe for making life easier with the use of intelligent devices such as smart sensors, actuators, and many other devices. AI-enabled devices are more intelligent and capable of doing a specific task which saves a lot of resources (...) and time. Different approaches are available in the existing literature to tackle diverse issues of real life based on AI and IoT systems. The role of decision-making has its own importance in the AI-enabled and IoT systems. In-depth knowledge of the existing literature is dire need of the research community to summarize the literature in effective way by which practitioners and researchers can benefit from the prevailing proofs and suggest new solutions for solving a particular problem of AI-enabled sensing and decision-making for the IoT system. To facilitate research community, the proposed study presents a systematic literature review of the existing literature, organizes the evidences in a systematic way, and then analyzes it for future research. The study reported the literature of the last 5 years based on the research questions, inclusion and exclusion criteria, and quality assessment of the selected study. Finally, derivations are drawn from the included paper for future research. (shrink)

To solve the problem of user privacy disclosure caused by attacks on anonymous areas in spatial generalization privacy protection methods, a K and P Dirichlet Retrieval method based on k-anonymity mechanism is proposed. First, the Dirichlet graph model is introduced, the same kind of information points is analyzed by using the characteristics of Dirichlet graph, and the anonymous set of users is generated and sent to LBS server. Second, the relationship matrix is generated, and the proximity relationship between the user (...) position and the target information point is obtained by calculation. Then, the private information retrieval model is applied to ensure the privacy of users’ target information points. Finally, the experimental results show that the KPDR method not only satisfies the diversity of l 3 / 4, but also increases the anonymous space, reduces the communication overhead, ensures the anonymous success rate of users, and effectively prevents the disclosure of user privacy. (shrink)

EDITOR’S ABSTRACTSeeing New Qing History as a “malicious attack on a sovereign country” by “Western imperialists,” Li explicitly differentiates between a “wrong” and a “right” perspective on Qing history. In his view, the only legitimate standpoint is one that takes the People’s Republic of China’s territorial reach and “ethnic unity” as a necessary and natural result of history.

Aiming at the high false alarm rate when using single sensor to detect fire in aircraft cabin, a multisensor data fusion method is proposed to detect fire. First, the weights of multiple factors, that is, temperature, smoke concentration, CO concentration, and infrared ray intensity in the event of fire, were calculated by using the improved analytic hierarchy process method on each sensor node of wireless sensor network, and the probability of fire event in the cabin was evaluated by multivariable-weighted fusion (...) method. Second, based on the mutual support among the evaluation data of fire probabilities of each node, the adaptive weight coefficient is assigned to each evaluation value, and the weighted fusion of all evaluation values of each node is conducted to obtain the fire probability. In the end, compared to the threshold of probability, the fire alarm is determined. Comparing the proposed algorithm to the grey fuzzy neural network fusion algorithm and fuzzy logic fusion algorithm in terms of the time consumption for fire detection and sending alarm and the accuracy of fire alarm perspectives, the experiments demonstrate that the proposed fire detection algorithm can detect the fire within 10s and reduce the false alarm rate to less than 0.5%, which verifies the superiority of the algorithm in promptness and accuracy. In the meanwhile, the fault tolerance of the algorithm is proved as well. (shrink)