Liang Huo

Bio: Liang Huo is an academic researcher from Henan University of Technology. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 1, co-authored 1 publications receiving 2 citations.

Enterprise Knowledge Management Under Cloud Computing Environment

Abstract: With the coming information economy age, knowledge has become the core production factor for success of the enterprise, while how to manage the knowledge efficiently while the enterprise faces such mass information has become a new task in enterprise knowledge management. This paper has discussed development and application condition of enterprise knowledge management by cloud computing and knowledge management overview and pointed out a good method to apply the advanced cloud computing technology in enterprise knowledge management.

Multi-level semantic constraints for dam safety monitoring scenario construction

Abstract: Aiming at the problems of complex scene objects, lack of correlation between them, close coupling between modelling knowledge and modelling process, and low flexibility of scene configuration in dam safety monitoring scene construction, this paper proposes a multi-level semantic constraint method for dam safety monitoring scene construction. First, based on the analysis of the characteristics of dam safety monitoring scene modelling operations and modelling knowledge expression, modelling knowledge is extracted from spatial pose semantic constraints, spatial layout semantic constraints and component combination semantic constraints, and modelling knowledge and modelling operations are stored in a parametric way. Then, after the multi-level semantic constraint rules constrain and guide the way the scenario objects are combined, the dam safety monitoring scenario is generated. A prototype dam safety monitoring system is developed based on this approach to validate the effectiveness of the method.

Research on the Symbolic 3D Route Scene Expression Method Based on the Importance of Objects

Abstract: In the study of 3D route scene construction, the expression of key targets needs to be highlighted. This is because compared with the 3D model, the abstract 3D symbols can reflect the number and spatial distribution characteristics of entities more intuitively. Therefore, this research proposes a symbolic 3D route scene representation method based on the importance of the object. The method takes the object importance evaluation model as the theoretical basis, calculates the spatial importance of the same type of objects according to the spatial characteristics of the geographical objects in the 3D route scene, and constructs the object importance evaluation model by combining semantic factors. The 3D symbols are then designed in a hierarchical manner on the basis of the results of the object importance evaluation and the CityGML standard. Finally, the LOD0-LOD4 symbolic 3D railway scene was constructed on the basis of a railroad data to realise the multi-scale expression of symbolic 3D route scene. Compared with the conventional loading method, the real-time frame rate of the scene was improved by 20 fps and was more stable. The scene loading speed was also improved by 5–10 s. The results show that the method can effectively improve the efficiency of the 3D route scene construction and the prominent expression effect of the key objects in the 3D route scene.

Multi-scale coupling mechanism between monolithic models and multisource data

Abstract: Monomerization is one of the important aspects of tilt photography models in practical applications, but the monomerized models lack rich semantic information. In this paper, a multi-scale coupling mechanism of semantic information and monomerization model is designed. Firstly, semantic consistency processing is performed on the crowd source data to obtain rich semantic information. Then, a semantic information classification table is constructed, and two-dimensional semantic information based on CityGML level of detail fusion rules are designed to join the multi-scale functional areas based on CityGML. Finally, multi-scale semantic information is assigned to the monolithic model based on the inclusion relationship between functional areas and buildings. The results of this paper show that the proposed method can integrate the query of the structure and location of 3D monolithic models as well as their rich semantic information, thus providing data support for the application of 2D and 3D systems for data analysis.

Research on 3D model and terrain matching method based on the segment of linear coordinates

Abstract: At present, when the ultra-long linear 3D model is loaded in the 3D scene, it is difficult to adapt the ultra-long line model to the terrain model due to the influence of projection distortion. At present, some solutions mainly focus on the model rendering level, without considering the necessity of linear engineering construction, which is hard to encounter the requirements of 3D visualization in the meadow of linear engineering management. Therefore, this paper conducts research from two aspects of projection distortion calculation and analysis, linear engineering independent coordinate system establishment and so on, and puts forward the method of line model loading based on linear independent coordinate system piecewise technology. Firstly, the linear engineering projection distortion is calculated and analyzed. Then, based on the requirements of linear engineering construction accuracy, multiple independent coordinate systems that meet the accuracy requirements are constructed according to the characteristics of linear engineering. Finally, the 3D model of the ultra-long line is piecewise loaded, and the influence caused by the distortion of the projection length is apportioned through each independent coordinate system. The practical consequence indicate that this method can virtually optimize the difficult problem of model and terrain acclimatization caused by projection distortion, and meet the rendering requirements of linear engineering 3D models.

On-line Ship Route Planning of Cold-chain Logistics Distribution Based on Cloud Computing

Abstract: Yu, X., 2019. On-line ship route planning of cold-chain logistics distribution based on cloud computing. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 1132–1137. Coconut Creek (Florida), ISSN 0749-0208.In order to improve the efficiency of cold chain logistics distribution in cloud computing environment, it is necessary to optimize the location of ship route in cold chain logistics distribution. An online planning algorithm of cold chain logistics distribution ship route in cloud computing environment is proposed based on the shortest path optimization control. In the cloud computing environment, the shortest path search model is used to optimize the ship route of cold chain logistics distribution and the location design of cold chain logistics distribution path node. Based on the load balancing model of distribution network, the ship route location and distribution route planning of cold chain logistics under cloud computing environment are carried out. The optimal distribution route control protocol is used to control the cold-chain logistics shipping route in cloud computing environment, and the minimum distribution route is used as the constraint cost. Realize the on-line planning algorithm optimization design of cold chain logistics distribution ship route under cloud computing environment. The simulation results show that under the cloud computing environment, the on-line planning route overhead of cold chain logistics distribution ship route is lower, the balance of distribution network is better, and the output of cold chain logistics distribution is high. Improve the efficiency of cold chain logistics distribution under cloud computing environment.

Identification and Ranking the Factors Affecting the Knowledge Management Implementation Using Metasynthesis Method

Abstract: هدف: هدف این پژوهش شناسایی عوامل مؤثر بر پیاده‌سازی مدیریت دانش با استفاده از مطالعه پژوهش‌های پیشین است. روش‌شناسی: جهت شناسایی عوامل مؤثر بر پیاده‌سازی مدیریت دانش با استفاده از روش فراترکیب تعداد 335 مقاله چاپ شده در پایگاه‌های علمی همچون ساینس دایرکت، علم نت، مگ ‌‌ایران و پایگاه مرکز علمی جهاد دانشگاهی در بین سال‌های 2010 تا 2018 در حوزه مدیریت دانش مورد بررسی قرار گرفته است. از روش وزن‌دهی شانون بر مبنای تحلیل محتوا برای تعیین اوزان کدها استفاده شد. یافته‌ها: خروجی روش فراترکیب سه مقوله (سازمانی، فردی و محیطی)، هشت مفهوم (فرایندهای مدیریت دانش، ساختار سازمانی، فناوری، مدیریتی، فردی، اعتماد، رقابتی و فرهنگی - اجتماعی) و 52 کد در پیاده‌سازی مدیریت دانش شناسایی گردید. نتایج: مطابق پژوهش‌های پیشین به ترتیب توجه به عوامل فرهنگی سازمان، رهبری، هم‌راستایی راهبردی، حمایت مدیران ارشد، فناوری اطلاعات و انگیزه افراد در حوزه پیاده‌سازی مدیریت دانش دارای بیشترین اهمیت است.