合成龙胶及其混合糊流变性能探讨

本文分析了合成龙胶及其混合糊的流变曲线，触变性及化学药剂对原糊粘度的影响。为印花中选择适宜的原糊提供理论依据。

混合法糊树脂糊粘度影响因素的研究

本文从生产工艺、喷雾干燥的工艺条件及干研磨等几方面来研究影响混合法PVC糊树脂糊粘度的原因并研究了降低糊粘度提高树脂质量的方法，

混合法聚氯乙烯糊树脂刮板细度的控制措施

介绍了混合法聚氯乙烯糊树脂生产工艺。为改进糊树脂产品的刮板细度,适应手套料产品的生产,实施了相应的工艺改造,满足了手套用糊树脂的质量要求。

用土豆糊、硫酸镁混合物治疗静脉炎的效果研究

目的 :探讨用土豆糊、硫酸镁混合物治疗静脉炎的临床效果。方法 :对2010年3月至2015年10月期间在我院进行输液治疗后发生静脉炎的90例患者的临床资料进行回顾性研究。我们将这90例患者随机分为混合物组和硫酸镁组,每组各有45例患者。为硫酸镁组患者使用硫酸镁进行治疗,为混合物组患者使用土豆糊与硫酸镁的混合物进行治疗。治疗结束后,比较两组患者的治疗效果。结果 :混合物组患者进行治疗的总有效率明显高于硫酸镁组患者,二者相比差异具有显著性(P<0.05)。结论 :用土豆糊、硫酸镁混合物治疗静脉炎的临床效果确切。此疗法值得在临床上推广应用。

甲硝唑、强的松、丁香油糊剂在冠周炎的临床应用

急性非化脓性智齿冠周炎是牙科常见疾病之一,笔者于1986年1月至1997年5月应用甲硝唑、强的松、丁香油混合糊剂治疗375例急性非化脓性智齿冠周炎收到较满意效果,现报道如下。

皮蛋快速加工法

皮蛋加工一般需要1个月时间,下面介绍的快速加工技术,可将时间缩短至7天。配方:鸭蛋100个,生石灰1公斤,纯碱350克,八角25克,花椒25克,食盐50克,菜叶5克,味精5克,一把松柏树枝,适量的谷糠、草木灰。制法:取清水0.7公斤左右,放入花椒、八角、松柏枝煮25分钟,然后加入食盐、茶叶继续煮5分钟,再放入味精。取煮汁溶化纯碱和生石灰,接着,倒进适量草木灰,搅拌成糊状。然后用混合糊轻轻将鸭蛋封严,厚度为0.3至0.4毫米,再包上谷糠,装进瓦缸中密封。

魔芋粉黄豆面条的制作

用魔芋粉掺入黄豆制作的面条,口感凉爽,风味独特,且含有大量的大豆蛋白、葡萄糖和钙,是降压、利尿、祛寒、减肥、护肤的理想食品,特别适合高血压病和肥胖病人食用。下面介绍这种面条的手工制作方法。 原料配方:魔芋粉5公斤,黄豆5公斤,石灰水适量,盐,香料,调味品。

魔芋粉黄豆面条的制作

用魔芋粉掺入黄豆制作的面条,口感凉爽,且含有大量的大豆蛋白、葡萄糖和钙,是降压、利尿、祛寒、减肥、护肤的理想食品。

Integrated logistics facilities network design for 3PLS under uncertainty

According to the operational characteristics of the logistics networks for the third party logistics supplier （3PLS）, the forward and reverse logistics networks together for 3PLS under the uncertain environment are designed. First, a fuzzy model is proposed by taking multiple customers, multiple commodities, capacitated facility location and integrated logistics facility layout into account. In the model, the fuzzy customer demands and transportation rates are illustrated by triangular fuzzy numbers. Secondly, the fuzzy model is converted into a crisp model by applying fuzzy chance constrained theory and possibility theory, and one hybrid genetic algorithm is designed for the crisp model. Finally, two different examples are designed to illustrate that the model and solution discussed are valid.

Optimization of mining method in subsea deep gold mines: A case study

The mining method optimization in subsea deep gold mines was studied. First, an index system for subsea mining method selection was established based on technical feasibility, security status, economic benefit, and management complexity. Next, an evaluation matrix containing crisp numbers and triangular fuzzy numbers(TFNs) was constructed to describe quantitative and qualitative information simultaneously. Then, a hybrid model combining fuzzy theory and the Tomada de Decis?o Interativa Multicritério(TODIM) method was proposed. Finally, the feasibility of the proposed approach was validated by an illustrative example of selecting the optimal mining method in the Sanshandao Gold Mine(China). The robustness of this approach was demonstrated through a sensitivity analysis. The results show that the proposed hybrid TODIM method is reliable and stable for choosing the optimal mining method in subsea deep gold mines and provides references for mining method optimization in other similar undersea mines.

Intelligent Control Scheme of Engineering Machinery of Cluster Hybrid System

In a hybrid system, the subsystems with discrete dynamics play a central role in a hybrid system. In the course of engineering machinery of cluster construction, the discrete control law is hard to obtain because the construction environment is complex and there exist many affecting factors. In this paper, hierarchically intelligent control, expert control and fuzzy control are introduced into the discrete subsystems of engineering machinery of cluster hybrid system, so as to rebuild the hybrid system and make the discrete control law easily and effectively obtained. The structures, reasoning mechanism and arithmetic of intelligent control are replanted to discrete dynamic, conti- nuous process and the interface of the hybrid system. The structures of three types of intelligent hybrid system are presented and the human experiences summarized from engineering machinery of cluster are taken into account.

Simulation and analysis of energy optimization for PEMFC hybrid system

The control objective and several key parameters of PEMFC hybrid system are analyzed. Control strategy design and energy optimization simulation are made individually for given cycle case and realtime operating case. For the given cycle case, genetic algorithm is adopted to solve the multi-constraint combinatorial optimization problem. Simulation result showed the algorithm＇s feasibility. As far as the realtime operation is concerned, based on the original fuzzy control strategy, the fuel cell voltage and voltage variance parameters are introduced to apply result reveals that the improved fuzzy control strategy can enhance the two-level modification on the fuzzy control output. The fuel cell efficiency and reduce the power fluctuations.

Brain MRI Segmentation Using KFCM and Chan-Vese Model

To extract region of interests （ROI） in brain magnetic resonance imaging （MRI） with more than two objects and improve the segmentation accuracy, a hybrid model of a kemel-based fuzzy c-means （KFCM） clustering algorithm and Chan-Vese （CV） model for brain MRI segmentation is proposed. The approach consists of two succes- sive stages. Firstly, the KFCM is used to make a coarse segmentation, which achieves the automatic selection of initial contour. Then an improved CV model is utilized to subdivide the image. Fuzzy membership degree from KFCM clus- tering is incorporated into the fidelity term of the 2-phase piecewise constant CV model to obtain accurate multi-object segmentation. Experimental results show that the proposed model has advantages both in accuracy and in robustness to noise in comparison with fuzzy c-means （FCM） clustering, KFCM, and the hybrid model of FCM and CV on brain MRI segmentation.

Torsional vibration active control of hybrid construction machinery complex shafting

Due to the coaxial connection of engine, motor and pump, the dynamic characteristics of hybrid construction machinery are changed, which generates a new torsional vibration problem of multi-power sources. To reduce the torsional vibration of the hybrid construction machinery complex shafting, torsional vibration active control was proposed. The three-mass model of coaxial shafting of hybrid construction machinery was established. The PID control and the fuzzy sliding mode control were chosen to weaken torsional vibration by controlling the motor speed and torque. The simulation results show that the fuzzy sliding mode control has 12% overshoot of the PID control when the engine torque changes. The active control is effective and can realize smooth power switch.

A Hybrid Handover Forecasting Mechanism Based on Fuzzy Forecasting Model in Cellular Networks

As the increasing demand for mobile communications and the shrinking of the coverage of cells, handover mechanism will play an important role in future wireless networks to provide users with seamless mobile communication services. In order to guarantee the user experience, the handover decision should be made timely and reasonably. To achieve this goal, this paper presents a hybrid handover forecasting mechanism, which contains long-term and short-term forecasting models. The proposed mechanism could cooperate with the standard mechanisms, and improve the performance of standard handover decision mechanisms. Since most of the parameters involved are imprecise, fuzzy forecasting model is applied for dealing with predictions of them. The numerical results indicate that the mechanism could significantly decrease the rate of ping-pong handover and the rate of handover failure.

Genetic-fuzzy HEV control strategy based on driving cycle recognition

A genetic-fuzzy HEV control strategy based on driving cycle recognition （DCR） was built. Six driving cycles were selected to represent different traffic conditions e.g. freeway, urban, suburb. A neural algorithm was used for traffic condition recognition based on ten parameters of each driving cycle. The DCR was utilized for optimization of the HEV control parameters using a genetic-fuzzy approach. A fuzzy logic controller （FLC） was designed to be intelligent to manage the engine to work in the vicinity of its optimal condition. The fuzzy membership function parameters were optimized using the genetic algorithm （GA） for each driving cycle. The result is that the DCR_ fuzzy controller can reduce the fuel consumption by 1. 9%, higher than only CYC _ HWFET optimized fuzzy （0.2%） or CYC _ WVUSUB optimized fuzzy （0.7%）. The DCR_ fuzzy method can get the better result than only optimizing one cycle on the complex real traffic conditions.

Site selection of emergency material warehouse under fuzzy environment

The objective of this work was to determine the location of emergency material warehouses. For the site selection problem of emergency material warehouses, the triangular fuzzy numbers are respectively demand of the demand node, the distance between the warehouse and demand node and the cost of the warehouse, a bi-objective programming model was established with minimum total cost of the system and minimum distance between the selected emergency material warehouses and the demand node. Using the theories of fuzzy numbers, the fuzzy programming model was transformed into a determinate bi-objective mixed integer programming model and a heuristic algorithm for this model was designed. Then, the algorithm was proven to be feasible and effective through a numerical example. Analysis results show that the location of emergency material warehouse depends heavily on the values of degree a and weight wl. Accurate information of a certain emergency activity should be collected before making the decision.

Integrated optimal method for cell formation and layout problems based on hybrid SA algorithm with fuzzy simulation

To adapt to the complex and changeable market environment,the cell formation problems(CFPs) and the cell layout problems(CLPs) with fuzzy demands were optimized simultaneously. Firstly,CFPs and CLPs were described formally. To deal with the uncertainty fuzzy parameters brought,a chance constraint was introduced. A mathematical model was established with an objective function of minimizing intra-cell and inter-cell material handling cost. As the chance constraint of this problem could not be converted into its crisp equivalent,a hybrid simulated annealing(HSA) based on fuzzy simulation was put forward. Finally,simulation experiments were conducted under different confidence levels. Results indicated that the proposed hybrid algorithm was feasible and effective.

High-Performance of Power System Based upon ANFIS （Adaptive Neuro-Fuzzy Inference System） Controller

The proposed controller incorporates FL （fuzzy logic） algorithm with ANN （artificial neural network）. ANFIS replaces the conventional PI controller, tuning the fuzzy inference system with a hybrid learning algorithm. A tuning method is proposed for training of the neuro-fuzzy controller. The best rule base and the best training algorithm chosen produced high performance in the ANFIS controller. Simulation was done on Matlab Ver. 2010a. A case study was chopper-fed DC motor drive, in continuous and discrete modes. Satisfactory results show the ANFIS controller is able to control dynamic highly-nonlinear systems. Tuning it further improved the results.