[Purpose] Mass incidents have emerged as a serious social problem concerning national security in China. So, it is necessary to construct a forecasting model to predict such public events. In this paper, support vector machines are applied to the model. [Method] Based on the social surveys conducted in 119 counties of Shanxi, Gansu and Hubei provinces, 3 multi-class classification problems were proposed, and then 3 multi-class support vector classification forecasting models were constructed. [Results] Preliminary experiments have proved that our method, compared with multiple cumulative logistic regression, should be more effective and accurate(enter method as well as the stepwise one). [Conclusion] It can be concluded from the results that irrationally behavioral intentions can be predicted more accurate than those rational ones. When the collective attitudes are applied to the forecast of the collective behavioral intentions, SVM method was approved to be the most effective approach. This paper represents an originally explorative research.
Abstract With the advancement of coal resources mining to the deep part, the control of the surrounding rock of the roadway has become one of the main problems in the field of mining. At the present stage, the bolt support technology of the roadway in China still faces problems such as unclear support mechanism and poor support effect. Based on the mechanism of bolt support, through theoretical analysis and experimental research, this study proposes the differentiated support technology for roadways based on the mechanical response of the plastic zone and applies this method in the Gada Coal Mine. The results of the study showed that the plastic zones with different shapes have different mechanical responses. compared with other plastic zone shapes, the control method of the roadway with a butterfly‐shaped plastic zone is more complex. Consequently, the support design of a bolt should not only consider the scope of the plastic zone of support construction but also grasp the development law of the plastic zone. Effective support measures should be taken as early as possible for roadways with butterfly‐shaped plastic zones to prevent aggressive development of the butterfly‐shaped plastic zone. Field tests show that this support method realizes the ideal supporting effect in practical applications.
A numerical method for helicopter rotor/fuselage aerodynamic interaction has been established. Where the viscous vortex particle method is applied to model rotor wake and the vortex panel method is employed to model the aerodynamic charac-teristics of helicopter components such as blade, fuselage, horizontal stabilizer, et al. Then the vortex flow-field of rotor/fuselage interaction is simulated and analyzed based on the developed method. Meanwhile, through the comparison of rotor/fuselage aerodynamic interaction between the test data and calculation value, the effectiveness and accuracy of the developed method has been validated. Based on this, some meaningful conclusions are drawn.
Platform-based crowdsourcing manufacturing has recently garnered wide attention as it is a business model that facilitates economies of scale and cost efficiency in production. The inherent coupling of process planning and production scheduling (PPPS) in a platform-based crowdsourcing manufacturing environment necessitates collaborative optimisation of PPPS decisions. Existing research that assumes PPPS decisions are integrated into one static single-level optimisation problem becomes no longer applicable with the arrival of the crowdsourcing mode. This paper presents a dynamic hierarchical collaborative optimisation (DHCO) mechanism that considers a process planning to interact with scheduling according to the optimal decision of the open manufacturing platform. A bilevel mixed 0-1 nonlinear programming model is established with the platform acting as the leader and the manufacturing enterprises serving as the follower. It is solved by a nested genetic algorithm (NGA). A case study of a part family is presented to illustrate feasibility of DHCO. Through comparative experiments, it is found that integrating crowdsourcing strategies into process planning activities is advisable for a platform to increase competitive advantages. The proposed model can manage well the conflict and collaboration between PPPS and balances the benefits of a platform with the manufacturing enterprise impacts triggered by planning activities. Abbreviations: DHCO: Dynamic Hierarchical Collaborative Optimisation; IOM: Integrated Optimisation Method; KKT: Karush-Kuhn-Tucker; MNL: Multinomial Logit; NGA: Nested Genetic Algorithm; PFI: Process Flexibility Index; PPPS: Process Planning and Production Scheduling; PSI: Process Similarity Index; TOM: Two-stage Optimisation Method.
Produced by the intrinsic spirit,the image usually reflects the real features.Accordingly,the image of an enterprise should represent its intrinsic spirit accurately.Based on the specific circumstance of an enterprise,which has the certain objective and ideal in the personnel administration,management strategy,production and service,the image system is neither universal nor invariable.It should be adjusted according to the constitution of an enterprise.The image design handbook of enterprise is the record of the design projects,it is helpful to unify the criterion and standardize the image design.
Fault segmentation plays a critical role in assessing seismic hazards, particularly in tectonically complex regions. The Laji-Jishi Shan Fault Zone (LJSFZ), located on the northeastern margin of the Tibetan Plateau, is a key structure that accommodates regional tectonic stress. This study integrates geomorphic indices, cross-fault deformation rate profiles, and 3D crustal electrical structure data to analyze the varying levels of tectonic activity across different segments of the LJSFZ. We extracted 160 drainage basins along the strike of the LJSFZ from a 30 m resolution digital elevation model and calculated geomorphic indices, including the hypsometric integral (HI), stream length-gradient index (SL), and channel steepness index (ksn), to assess the variations in tectonic activity intensity along the strike of the LJSFZ. The basins were categorized based on river flow directions to capture potential differences across the fault zone. Our results show that the eastern basins of the LJSFZ exhibit the strongest tectonic activity, demonstrated by significantly higher SL and ksn values compared to other regions. A detailed segmentation analysis along the northern Laji Shan Fault and eastern Jishi Shan Fault identified distinct fault segments characterized by variations in SL and ksn indices. Segments with high SL values (>500) correspond to higher crustal uplift rates (~3 mm/year), while segments with lower SL values exhibit lower uplift rates (~2 mm/year), as confirmed by cross-fault deformation profiles derived from GNSS and InSAR data. This correlation demonstrates that geomorphic indices effectively reflect fault activity intensity. Additionally, 3D crustal electrical structure data further indicate that highly conductive mid- to lower-crustal materials originating from the interior of the Tibetan Plateau are obstructed at segment L3 of the LJSFZ. This obstruction leads to localized intense uplift and enhanced fault activity. These findings suggest that while the regional stress–strain pattern of the northeastern Tibetan Plateau is the primary driver of the segmented activity along the Laji-Jishi Shan belt, the direction of localized crustal flow is a critical factor influencing fault activity segmentation.
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