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Water flow is an important piece of information in hydrological assessments, aiding in understanding variations in river flow and predicting its trends. Traditional contact-based methods for measuring water flow are greatly affected by environmental conditions during emergencies, with difficulties in installation and low measurement efficiency. To address this issue, this study explores a method for calculating video-based flow measurements using a non-contact spatio-temporal imaging approach. The study selects the Pukou section of the Chuhe River in Nanjing City as the experimental site for water flow detection. The detection method in this paper uses video flow measurement to measure the velocity of water flow. The collected data is processed visually and displayed on the interface of terminal equipment, and the collected data can be transmitted to a specified address in the format of the hydrological protocol. Experimental results indicate that using drones equipped with video flow measurement devices can rapidly and effectively complete water flow detection. The data can be displayed in a visual format on terminal equipment, facilitating viewing by relevant personnel. This form of detection is fast, safe, and environmentally adaptive, with the potential for practical applications. Further research into this detection method will promote the smart and integrated development of hydrological assessments. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Beijing University of Civil Engineering & Architecture is the property of Journal of Beijing University of Civil Engineering & Architecture Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Jilin University (Science Edition) / Jilin Daxue Xuebao (Lixue Ban) is the property of Zhongguo Xue shu qi Kan (Guang Pan Ban) Dian zi Za zhi She and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Cultivated land is the foundational resource for grain production, particularly for the food security, ecological safety, as well as the economic and social stability. Therefore, it is crucial to explore the spatiotemporal distribution and driving mechanisms of cultivated land in the major grain-producing regions. Taking the Huaihe Eco-Economic Belt (HHEEB) as this research subject, this study aims to investigate the spatiotemporal distribution and driving mechanisms of cultivated land resources from 1990 to 2020. Remote sensing imagery data was also collected over the past 30 years. Firstly, four periods were divided for the remote sensing image data of land use in 1990, 2000, 2010, and 2020. Arcgis software was used to reclassify 25 second-level into the six first-level land categories. Spatial Analyst function was utilized to statistically analyze the quantity of cultivated land resources at varying scales, and then further analyze the temporal changes and transfer paths of cultivated land resources; Secondly, GeoDa spatial analysis software was also combined to clarify the spatial agglomeration of cultivated land resources; The land use data was overlaid for 1990 and 2020, according to the spatial variation in the cultivated land area at the urban scale. Further exploration was conducted on the spatial changes of farmland resources. 14 driving factors were selected from four aspects: natural driving force, environmental tolerance, agricultural productivity, and economic development. The driving mechanism of cultivated land resources was explored for the factor and interactive detection in the geographical detector; Finally, the FLUS model was used to optimize the allocation of cultivated land resources under both the natural development and protection scenario of cultivated land in 2030. The results show that: 1) The land use structure of the HHEEB was predominantly characterized by the cultivated land, with an average of 68.70% of the total area. Notably, the proportion of dryland was consistently exceeded that of paddy fields, with 71.81% of the annual average cultivated land area. There was the significant reduction in the cultivated land area over the past three decades, with a staggering decrease of 8.63×105 hm² and an average annual reduction of 2.88×104 hm² . This decline was largely attributable to the loss of dryland, which was constituted 81.69% of the overall reduction in the cultivated land. The encroachment of construction land was identified as the primary source of cultivated land loss in the region. 2) The spatial exploration was also performed on the agglomeration of farmland resources. Distinct features were observed with the aggregation distribution divided by the Huaihe River, indicating the typical distribution pattern of southeast paddy fields and northwest dryland. 3) The factor detection showed that the leading driving factors of cultivated land resource distribution included the social driving forces, such as agricultural mechanization level, grain yield, and POP. There was the relatively stable driving force in each element of ecological driving force on the cultivated land resources. The interaction detection show that the pairwise interactions among factors in the agricultural productivity were generally greater than those in the ecological driving forces and the interactions within agricultural productivity. Agricultural productivity was consistently played a dominant role in the spatiotemporal changes of farmland resources. 4) The cultivated land area was projected to decrease by 101 011 hm², if the natural development scenario was remained by 2030. However, the scenario cultivated land protection can be expected to offer the promising outlook with the significant increase of 529 309 hm² in the cultivated land area. It is envisaged on the reclaimed cultivation in the hilly and mountainous areas, the parts of sparse forest and low-coverage grassland in the Tongbai-Funiu Mountains under the proactive protection scenario. Some suggestions can also propose to consider the potential development of coastal waters along the eastern coast for the construction purposes. In addition, it can be expected to reduce the fragmentation of construction land for the high utilization efficiency of agricultural land in the central region. The spatiotemporal variations in the arable land resources can provide a strong reference for the decision-making on the national food security. [ABSTRACT FROM AUTHOR]

In order to study the temporal and spatial occurrence law of coal mine roof accidents in construction operation and the interaction degree of construction operation in the spacetime, 171 roof accident investigation reports have been coded and analyzed to obtain the relationship between roof accident spacetime and construction operation. Based on the complex network theory, the construction operation coupling network in roof accidents based on spacetime was proposed and constructed. The degree centrality and edge weight were used to analyze the association strength between construction operation and spacetime, and the coupling degree of construction operation in roof accidents was calculated by grey relation analysis. The countermeasures for preventing roof accidents in coal mine construction were proposed. The results show that the erection of support and 9:00-10:00, maintenance support and 14:00-15:00, recovery of single hydraulic prop and coal mining face, maintenance support and mining roadway, bolt (cable) support and mining roadway heading face are strongly related in roof accidents. The average coupling degree based on spacetime is high for maintenance support, coal gangue removal, coal gangue or debris removal, pillar erection, shed erection and anchor bolt (cable) support in roof accidents.

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Railway Science & Engineering is the property of Journal of Railway Science & Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To improve the performance of sparse recovery space-time adaptive processing (SR-STAP) algorithms with both array gain/phase errors and grid mismatches, a sparse Bayesian learning-based robust SR-STAP approach is proposed in this paper. Firstly, the SR-STAP signal model with mismatched errors is constructed using the Kronecker structure of the space-time steering vector. Secondly, the angle-Doppler profile and mismatched parameters are alternatively achieved by utilizing the Bayesian inference and expectation-maximization algorithm. Finally, the precise clutter-plus-noise covariance matrix is estimated and the corresponding weight vector is calculated with the above obtained parameters. Simulation results verify that the proposed algorithm can significantly improve the target detection performance with mismatched sparse signal model. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The mutual hiding of the five elements is a useful principle, with five elements participating in infinite interactions. As an important part of the theory of the five elements, mutual hiding of the five elements explains the relationship among these elements from multiple perspectives, which is the internal basis of generation and restriction relationship among the five elements and the basic condition for maintaining the dynamic balance of the four qi movements with the middle earth as its pivot. However, at present, the theory of mutual hiding of the five elements has not attracted enough attention, and the related research has not yet formed a foundational understanding of this theory. Therefore, based on the notion of “qi-yin and yang-five elements”, this paper introduces a further discussion on the theory of mutual hiding of five elements and argues that any one of the five elements contains five qi and that any one of the five qi is present in all five elements. This paper then proposes the law of the growth and decline of the five elements in mutual hiding, including “si (beginning)”“xiang (developing)”“wang (prosperous)”“xiu (waning)”“qiu (disappearing)”,explores and analyses the primary and secondary relation among five qi of each element space-time unity nature of the theory so as to improve it and use it effectively in clinical practice. [ABSTRACT FROM AUTHOR]

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The concept and connotation of microbial/chemical/gas flooding synergistic EOR technology are expounded from three aspects: material synergy, mechanism synergy and space-time synergy.The mechanism, characteristics and development status of microbial/chemical flooding synergistic oil displacement technology (microbial activated water flooding, microbial/chemical profile control, microbial/chemical flooding combined oil displacement） and microbial/gas flooding synergistic oil displacement technology (air assisted microbial oil displacement, microbial/CO2 synergistic oil displacement） are summarized, in the future, we will continue to explore the micro synergy mechanism, green and low-carbon technology, and expand the scope of application of the reservoir. [ABSTRACT FROM AUTHOR]

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

As the last process of zinc flotation, the working condition of zinc concentration directly determines the final product quality of zinc flotation. The existing flotation condition recognition method based on convolution neural network can mine hidden features and has achieved good results, but there are still some problems such as limited representation ability and large model parameters. Therefore, a working condition recognition model of zinc concentration based on long-term spatiotemporal feature and multi-scale appearance feature is proposed in this article. First, short-term spatiotemporal features between adjacent frames of froth video are extracted based on the separate three-dimensional convolutional network (S3D) and attention mechanism, and they can obtain the short-term temporal information between adjacent frames of froth video with feature focus. Then, based on the short-term spatiotemporal features, a bi-directional convolutional long short-term memory (BiConvLSTM) is used to extract the long-term spatiotemporal features of froth video, which can obtain the long-term dynamic temporal information of froth video. After that, a two-dimensional convolution neural network based on ResNet and transfer learning is used to extract the multi-scale appearance features, and the multi-scale appearance features and long-range space-time features are integrated to identify the zinc concentration conditions. The experimental results show that compared with the existing convolution neural network, the proposed model has better performance both in the accuracy and model parameters. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

By using Riemann-Liouville fractional derivative and applying the improved Exponential function-expansion method, some new exact solutions of space-time fractional mixed KdV equation are obtained. At first, space-time fractional mixed KdV equation can be converted into the non-fractional ordinary differential equation. Later, a new auxiliary ordinary differential equantion is introduced, and some new exact solutions of space-time fractional mixed KdV equation under different constraints are constructed. At last, the new solution under the first representative case is simulated by computer. [ABSTRACT FROM AUTHOR]

The exact solutions to the space-time fractional Fokas-Lenells equations with parameters in nonlinear optics were obtained by means of the complete discrimination system for polynomial method, including rational function solutions, periodic solutions, solitary wave solutions, Jacobi elliptic function solutions and hyperbolic function solutions. The relevant graphs of the exact solutions were drawn, and the influence of parameters on the structure of the solution was analyzed. [ABSTRACT FROM AUTHOR]

Copyright of Journal of South China University of Technology (Natural Science Edition) is the property of South China University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Geography & Geographic Information Science is the property of Geography & Geo-Information Science Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Mine Automation is the property of Industry & Mine Automation Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Space-Integrated-Ground Information Networks is the property of Beijing Xintong Media Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at the problem of predicting the surrounding traffic situation in autonomous vehicle motion planning, a motion planning algorithm considering the interactive trajectory prediction between surrounding vehicles is proposed. Firstly, for structured road information, an improved social force model is constructed to predict the trajectory of vehicles around autonomous vehicles. Secondly, the predicted trajectory and the trajectory set that is generated in the Frenet coordinate system are projected on the space-time occupancy map, and the shortest distance between the projection points is calculated for collision checking. To obtain candidate trajectories, the trajectories are selected by collision, acceleration and curvature checking. Then, the cost function is constructed to evaluate the candidate trajectories and obtain the optimal motion trajectory. Finally, the simulation results in different driving scenarios show that the motion planning algorithm can make decisions about driving behavior in advance. The planned speed curve is more stable and the safety, comfort and driving efficiency of the motion trajectory are better. [ABSTRACT FROM AUTHOR]

In the process of airborne radar parameters estimation, the adaptive sum and the difference beam can be distorted near the main lobe clutter region, and there is a coupling between the angle and Doppler frequency parameter estimated, which leads to severe degradation of the parameters estimation performance of the traditional sum and difference pulse estimation method. This paper proposes an adaptive iterative monopulse estimation method for airborne radar based on space-time constraints. This method firstly uses derivative constraints and zero point constraints to ensure that the formed difference beam is the optimal difference beam. Secondly, the generalized single pulse method is used to estimate the parameters, which solves the mutual coupling problem between multi-parameter estimation. Finally, it adopts an adaptive iterative method, which further improves the estimation accuracy of target parameters. The computer simulation results verify the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

Copyright of Public Art is the property of Shanghai Fine Arts Publisher Ltd. co. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of New Architecture is the property of New Architecture Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The current highway abnormal event detection efficiency is low, the leakage rate is high, real-time poor, and so on, this paper proposed highway abnormal parking detection method based on space-time relationship. Firstly, it used the traffic flow frequency to quantify the split image and removed the smaller connectivity domain to extract the road surface information, then used the perspective geometry of the pinhole camera to normalize the same scale. It used YOLOv4 network to obtain the exact position of the vehicle target, and established the space-time information matrix. To detect abnormal region and the detection results can output by the update of the space-time matrix. The experimental results show that the accuracy of this method is 95% in long-distance scenes and 93% in crowded scenes. [ABSTRACT FROM AUTHOR]

Aiming at the incompatibility of rime-frequency-space-energy analysis of electromagnetic signals, a data-driven method based on decomposing electromagnetic radiation signals in space-time domain is proposed to analyze complex electromagnetic environment. Firstly, the multi-resolution dynamic mode decomposition method is used to separate the complex electromagnetic signal into modal components of different temporal and spatial scales at different resolutions. Then, the instantaneous frequency and energy characteristics of each mode are collected by using time-frequency distribution. This dynamic decomposition analysis method can quickly detect various electromagnetic environment states of circuits and electronic systems. It does not need a priori data training, is not limited by time-frequency resolution, and can analyze and reduce the data dimension in real time. The extracted dynamic mode and is spectrum have dear physical significance in space domain and time domain respectively. Simulation results show that the average error between the reconstructed signal and the original signal is less than --18 dB, which proves the feasibility and advantages of the proposed method. [ABSTRACT FROM AUTHOR]

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Acta Scientiarum Naturalium Universitatis Sunyatseni / Zhongshan Daxue Xuebao is the property of Sun-Yat-Sen University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Geometry-based stochastic modeling (GBSM) for UAV air-to-ground (A2G) channel usually assumes fixed velocity and moving direction, which can't describe the non-stationary characteristics of the UAV air-ground propagation environment. Facing the UAV 3D air-to-ground channel model based on double cylindrical scatterer, this paper proposed to introduce a Gauss Markov mod el with dynamic speed and moving direction into the A2G to simulate the changes of the UAV in the real environment. In order to make the model simulate different motions, it introduced an expansion factor to switch the motion trajectory of the model. In addition, this paper used the geometric analysis method to derive the space-time correlation function and Doppler power spectral density based on the time-varying speed and direction of motion, and studied the influence of the UAV horizontal and vertical movement on the channel statistical characteristics. The simulation results show that the extended model only cause non-stationarity in the time domain without affecting the air space, and verifies the generality of the extended model. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Frontiers of Computer Science & Technology is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of New Architecture is the property of New Architecture Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Coal Science & Technology (0253-2336) is the property of Coal Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objectives: Compared with the outdoor space, the indoor three‑dimensional space structure is complex, and indoor crowd gathering is more likely to lead to safety accidents. As the development of in‑ door positioning technology, it is possible to collect indoor trajectory, which also provides an important da‑ ta source for the identification of indoor crowd gathering area. Methods: We propose a novel method called Indoor SRC (indoor simplification reconstruction cluster) to detect indoor crowd gathering areas. Firstly, a new indoor user trajectory simplification algorithm, indoor spatial‑temporal agglomerative nesting (In‑ door‑STAGNES), is designed to identify indoor user stay points and simplify indoor user's trajectory. Then, an indoor trajectory reconstruction method based on Kalman filter is constructed to realize the alignment and resampling of indoor user trajectories. Finally, a new indoor space‑time density clustering algorithm: Indoor spatial‑temporal ordering points to identify the clustering structure (Indoor‑STOPTICS) is proposed to find indoor three‑dimensional space‑time crowd gathering area. Results: The real shopping mall indoor trajectory data are used for experimental analysis. The experimental results show that:(1)The gathering areas in the mall are mostly concentrated in the noon time and are mainly located in the dining area.(2) Com‑ pared with the traditional outdoor identification method, the error of recognition can be reduced by 23.7% in the case of Indoor SRC with little difference in running time. Conclusions: Indoor SRC can provide an effective supplement to the indoor crowd gathering area identification, and provide technical support for early warning and emergency rescue of indoor safety accidents. [ABSTRACT FROM AUTHOR]

Copyright of Tourism Tribune / Lvyou Xuekan is the property of Tourism Institute of Beijing Union University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to quickly and accurately identify real attack events in massive, multi-source and heterogeneous network threat intrusion logs, and discover attackers, and construct their characteristic portraits, this paper proposed a method to construct attacker portraits based on BDSAL. It defined a paradigm model of security events according to CAPEC, and rapidly normalized the multi-source heterogeneous log into a paradigm-based security event combined with the implementation of large data flow message queue. By extracting and expanding the features of security events, it generated event feature maps. According to the characteristics of space-time and attack patterns, it used the community discovery algorithm to cluster the feature maps and find the attackers. Finally, it verifies the feasibility and validity of the proposed method by the real attack and defense data of the laboratory. [ABSTRACT FROM AUTHOR]

In Spectres of Marx, Jacques Derrida answers the post-Levinasian question: how to respond to the Other. He claims that The Communist Manifesto has become an injunction of Marx, who requires our response. We have to respond to it and speak, as Marx does, in a non-metaphysical way. Since it is beyond the economy of re-presentation, writing does not produce presence. Thus, everything in it is spectral. But it takes us into Vavenir or futurity, a "spacing (and) temporizing" different from the space-time produced by re-presentation, because it constitutes an "ethicality" which goes beyond the metaphysical subjective conquest of the object. Therefore, we have to await it and in the waiting encounter a new "future". [ABSTRACT FROM AUTHOR]

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the rapid development of intelligent transportation, how to generate high ⁃ precision maps based on vehicle trajectory data has become a major problem in the industry. Trajectory similarity calcula⁃ tion and similar trajectory extraction are important steps to use the similar trajectory to infer the remaining lane position, and its correction greatly affects the accuracy of the lane position. The traditional LCSS (lon⁃ gest common subsequence) algorithm is mostly used to calculate the similarity of overlapping trajectories. To solve this problem, according to the characteristics that the lane trajectories are parallel and maintain a fixed distance, an improved LCSS method is proposed. Firstly, the buffer is constructed to screen out simi⁃ lar trajectories, then the trajectory alignment strategy based on translation and resampling is used to synchro⁃ nize the two trajectories in space and time. Finally, the similarity of the two trajectories is calculated based on LCSS. When the similarity satisfies the threshold condition, it is determined that the trajectory pairs are similar. Experiment results show that the proposed method can effectively extract similar trajectories. [ABSTRACT FROM AUTHOR]

According to the existing researches of aerosol optical depth （AOD） spatial coverage improve⁃ ment, the spatial⁃temporal correlation of multi⁃source products is not fully considered in the fusion process, and the uncertainty of the estimated results is not considered. This paper proposes an AOD spatial coverage improvement method based on spatio ⁃ temporal random effects （STRE） modeling with the uncertainty constraint. And this method is applied to the spatial coverage improvement of daily Moderate ⁃ resolution Imaging Spectroradiomete （MODIS） AOD products in eastern China from January 2013 to December 2017. The results show that the STRE model AOD spatial coverage improvement method can effectively improve the spatial coverage and temporal completeness of AOD by considering the temporal and spatial correlation of AOD data. And the introduction of uncertainty analysis in the STRE model AOD spatial coverage improvement can effectively reduce the accuracy of the overall coverage improvement results, es⁃ pecially for the region with serious missing original AOD data on time and space. [ABSTRACT FROM AUTHOR]