Applied Mechanics and Materials Vols. 121-126

Abstract: This paper presents a Field Programmable Gate Array based closed-loop motion control system for stepper motors. It consists of three components, including closed-loop control unit, driving unit and feedback unit. To overcome some of the drawbacks with an open-loop stepper motor motion control system or a conventional servo system, a self adaptive algorithm is proposed. By detecting the difference between the command and feedback signals, measures are taken prior to the occurrence of loss synchronization. All of the control logic is implemented in one FPGA chip. Simulation and testing results are presented at the end of this paper.

Abstract: In order to cope with the pressure from competition of global marketization, it’s common for enterprises to carry out multiple projects at the same time. The following has always been the focus and key issues for management wanting to achieve greater operational benefits when carrying out multiple projects simultaneously 1. resource allocation 2. shorten project-development cycle by coordinating relationships between team members 3. lower operating cost This paper covers 4. Introducing the concept of Multi-Project Management and its difference from general project management 5. Analyze the advantages and existing problems of Multi-Project Management 6. Address the issues such as resource allocation and conflicts resolution/coordination between project manager & operation manager by using Quantitative Analysis such as Game theory 7. Provide theory reference and practical suggestions for entrepreneurs.

Abstract: Discovering service-on-demand for large numbers of functionality-similar web services is one of the key issues in service discovery study. To find out the proper service among the functionality-similar web services, a merging cluster algorithm regarding QoS-oriented supply and demand is proposed in this paper. To meet the target, FCM clustering is adopted for agglomerative clustering between the user’s QoS requirement information and the QoS information from Web Service resources. Then, the sequence could be determined by similarity computation with the same clustering. Lastly, the numerical example is presented to illustrate that the service-on-demand can be discovered efficiently and effectively.

Abstract: Items detection and recognition have become one of hotspots in the field of computer vision research. Based on image features method has the advantage of low amount of information, fast running speed, high precision, and SIFT algorithm is one of them. But traditional SIFI algorithm have large amount of calculation data and spend long time to compute in terms of items recognition. Therefore, this paper come up with a method of items recognition based on SURF. This article elaborates the basic principle of SURF algorithm that firstly use SURF algorithm to extract feature points of item image, secondly adopt Euclidean distance method to find corresponding interest points of image, and finally get the image after items recognition combination with mapping relation of item image using RANSAC(Random Sample Consesus). Experimental results show that the system of item recognition based on SURF algorithm have better effect on matching recognition, higher instantaneity, better robustness.

Abstract: The author maintains that, with the quick development of domestic auto industry, the auto maintenance industry is progressing with high speed accordingly. The auto maintenance enterprise are inclined to focus on sales and forward supply chain operation, however, lacking of efficient resource and systematic management into reverse logistics operation, as lead to a few potential risks. In order to avoid and control the risks, the auto maintenance companies need to closely cooperate with channel supply chain partners, meanwhile build up the mode of reverse logistics operation with timing efficiency orientation. This mode consists of eight sub-system modules: organization structure, network planning and layout, reverse logistics operation procedure, time window evaluation mechanism, automatic replenishment system, reverse forecasting system, Kan-ban message system as well as disposal & reuse system. Furthermore, the article makes analysis of the internal operations and external relevance of these eight sub-systems. In recent years, with the overall opening up of road transport market and the rapid growth in domestic economy, the total number of China’s motor vehicles is entering a high-speed growth channel, and “the car goes to the country” policy further promotes the auto industry. Under the situation of quick development, the auto maintenance industry is developing by 10% to 15% each year as a young profession. According to the statistics, there are over 380,000 auto maintenance enterprises in our country at the moment, and various types of auto safety testing stations are built around one after another. The intense competition among auto maintenance manufacturing enterprises does not only focus on product quality, but also on the after-market reverse logistics. According to the statics of Gartner, 70 percent of resale is related with sales service, and 60 percent of resale is related with after market. However, except for few leading business enterprises which have realized the direct influence and value contribution of after-service reverse logistics to profit increase and customer loyalty and take action to pioneer the profit territory in the after-sale reverse logistics, the ‘price war’ is still the main competition method which the majority of enterprises adopt in the market.

Abstract: Three elements of Cutting dosages have a great effect on parts surface quality and working efficiency, the best organization of cutting three elements for parts surface quality must be found before machining, in order to surface roughness and machining cost of parts, multi-objective optimization model is established in this paper, model is solved by using genetic algorithm. Based on the BP neural network of three layers, forecasting model of surface roughness is established. According to existing experiment data and optimized cutting dosages, analysis and prediction of surface roughness is done. Machining experiment is done by using optimized data. The experiment result verifies feasibility of this optimistic method and prediction method of surface roughness.

Abstract: Having 7.7*108 t/a of crops straw, 3.97*109 t/a of poultry and livestock manure, 1.48*108 t/a of municipal waste, China is in possession of good resource condition for the development of bioenergy industries. But the competitiveness of bioenergy industry is low. In order to improving the competitiveness of biomass energy industry, combining with system dynamics, according to the comprehensive evaluation index system, this thesis used the entropy coefficient and introduced TOPSIS method into the comprehensive evaluation of the biomass energy industry competitiveness. It has resolved the problem of artificial weighted evaluation that commonly used in weighted comprehensive evaluation. The results show that this method is practicable.

Abstract: Part family and NX/Open programming techniques which are two kinds of parametric technology used in product modeling based on NX platform are introduced in this paper. The template of 3D part library was created on the base of analysis of different national standards. The key technology of product secondary development was narrated in detail, and the operation interface was created. Finally, a case was employed to testify the feasibility and efficiency of these two parametric modeling technologies.

Abstract: SIFT feature matching algorithm is hot in the field of the currently feature matching research, its matching with the strong ability can deal with the translation, rotation, affine transformation occurring between images , and it also have a stable image feature matching ability to the images filmed at any angle. SIFT algorithm is adopted in this paper, matching feature point through the scale space , calculating the histogram of detecting feature point neighborhood of gradient direction characteristic vector and generation to SIFT eigenvector and the key points similarity measure. From different setting threshold, scale scaling, rotating, noise on the experiment, the experiment result proves this algorithm in the above aspects has good robustness, suitable for mass characteristic database of rapid, accurate matching.

Abstract: This paper proposed the concept of quality survival and development index. The evaluation indicators system for quality survival and development index was established which includes customer satisfaction indicators of micro-environment and quality fitness Indicators of macro-environment. Breaking the traditional limitations of quality studying that focus only on customer satisfaction rather than from a macro perspective to evaluate the quality of products. Combining micro-environment and macro-environment together to established a mathematical model of quality survival and development index. Finally, an example of CNC machine tools was employed to analysis, utilizing fuzzy comprehensive evaluation method. Through all this, we validate this method of evaluation index system practicality and effectiveness.