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In the practice of medical services, the occurrence of disturbance events will inevitably interrupt the pre-arranged patient visit sequence and medical resource arrangement, so rescheduling is essential. In this paper, in view of the disturbance event of urgent patients and the setup time of medical equipment that cannot be ignored, we studied the urgent patient disturbance physical examination rescheduling problem that considering setup time. The optimization goal is to minimize the sum of medical equipment’s setup time and diagnostic completion time of all patients. In this problem, multiple patients need to be examined in multiple medical equipment, and the setup time of all patients on a medical equipment are sequence-dependent which was rarely considered in the previous medical service scheduling research. One of our contributions is that when constructing the mathematical model for the problem, we first introduced the change on the original patient’s visit sequence between rescheduling and initial scheduling should be less than a given upper bound as the constraint to reduce the impact on the original patient. Another contribution is that since the problem addressed is strongly NP-hard, combined the global search performance of the Genetic algorithm (GA) and the local search performance of the Simulated Annealing algorithm (SA), we proposed a hybrid algorithm (HGA-SA) of improved GA and improved SA to solve the problem. Finally, the model and algorithm are verified through extensive simulation experiments, results show that the proposed algorithm has good performance compared with several other existing algorithms.

Vehicle path planning is a key issue for car navigation systems. When path planning, considering the time spent at intersections is more in line with the actual situation, so it is of practical significance to study the path planning problem take account intersection attributes. In this article, we study the problem in a deterministic network, taking the minimization of travel time from the origin to the destination as the optimization goal. For this purpose, we construct a mathematical model for the problem. This paper proposes a reverse labeling Dijkstra algorithm (RLDA) based on traditional Dijkstra algorithm to solve the problem, it is proved that the correctness of the RLDA algorithm theoretically, and analyze that the RLDA algorithm has a lower polynomial time complexity. Finally, we selected the actual road network as the simulation experiment object to verify the effectiveness of the algorithm searching for the optimal path. And select 10 groups of networks of different sizes and conduct extensive experiments to compare the convergence efficiency and calculation speed between RLDA and PSO, GA, ACO, NNA, OPABRL. The statistical results show that the convergence rate of the RLDA algorithm is better than that of ACO, NNA, and GA. When the number of network nodes is less than 350, the algorithm has the smallest running time.

Head pose estimation based on a single image is a challenging endeavor because of the complex background conditions and characteristics of the human face. In this report, we propose a Multi stage Regression-Capsule Network (MR-CapsNet) to predict head posture based on a single image input. In the study, we used the residual attention block and squeeze-and-excitation block to extract features in three levels. CapsNet overcomes the shortcomings of the traditional convolutional neural network and implements module aggregation to describe the spatial relationship of features after aggregation, in addition to realizing a compact and robust model using a multi-stage regression scheme. We tested our method on the AFLW2000 and BIWI datasets obtaining mean absolute errors of 4.26% and 3.95%, respectively. In addition, we discuss the accuracy of our method in the case of eye or mouth occlusion. The results of comprehensive experiments reveal that our method can accurately predict head posture.

Smart city construction is closely related to building energy consumption data analysis, and energy consumption prediction is helpful to guide urban power dispatching strategy. In general, the artificial neural network models used for energy consumption prediction are often based on the optimization of a single network, which has some shortcomings such as poor generalization ability and unstable fitting accuracy. Therefore, in order to improve the performance of BP neural network in building air conditioning energy consumption prediction, a per-column optimization prediction model is constructed in this paper. In order to avoid falling into the local minimum, genetic algorithm and particle swarm optimization algorithm are introduced to optimize the weight and threshold of the basic BP neural network to avoid the randomness of the parameters. Then, in order to improve the reliability and prediction accuracy of the model, the optimal prediction value is identified on the basis of the BP model prediction value based on the optimization algorithm. In addition, this paper makes an experimental study on the real air-conditioning energy consumption of a building in Laixi City, and the experimental results show the superiority of the model. The prediction accuracy is improved by about 79%, and the reliability of the algorithm is also improved. In the long run, the model can provide advance prediction for urban power dispatching and contribute to the construction of smart cities.

According to the mechanism of bubble atomization, the author developed a fully transparent bubble atomizer with quartz glass. Taking the Shenyang metro as the engineering background, the simulation test of comparison and fire suppression of 5 aviation kerosene fire and wood stacking fire in the "limited" space of the carriage, the gas pressure of 1.3Mpa and the water pressure of 0.9Mpa are studied. To begin with, the water droplet quality is replaced by the weighing method into the existing contour map Origin, and the fog flux distribution map of the fog field is obtained. Furthermore, the authenticity of the fog flux distribution is proved in the fire extinguishing test, and the temperature around the flame is introduced by the thermocouple. Last but not least, the smoke was analyzed by using the smoke (gas) tester and the practicability and reliability of the water mist system which would be further verified. The results show that the water mist field is uniform under this condition, the fire temperature and smoke irritation are obviously improved under the action of fine water mist, and it is safe to use nitrogen in practical application.

Rotor winding interturn short circuit is the main fault of synchronous electric machines, it is of great significance to the safe and stable operation of the machine to discover and handle the fault timely. In view of this, the fault positioning method of rotor turn-to-turn short circuit of synchronous machines was studied. The mathematic expression of exciting magnetomotive force (e-m.m.f.), electromotiveforce (e.m.f.) and current of stator were deduced. we analyzed the characteristic harmonic of e-m.m.f., stator e.m.f. and current caused by rotor winding interturn short circuit; every harmonic amplitude variation of stator branch current was given in the relationship with rotor turn-to-turn short circuit. The different harmonic variation ratio of stator branch currents is only relevant to the position of the rotor interturn short-circuit coil and has a one-to-one relationship, so the rotor interturn short-circuit positioning method is presented. The method is verified by six-pole non-salient pole synchronous machines.

In advanced CMOS technology node with Cu/low-K interconnection, double patterning scheme with Trench First Metal Hard-Mask (TFMHM) approach All-In-One (AIO) etch is used to define smaller scale via and trench. The loading effect between different patterns, such as via chain and via slot, will cause different final over-etch (OE) amount under etch stop layer. Chip performance will be affected if it suffers severe loading between various patterns. In this paper, we will study the effect of different film stack, etching gas, plasma condition and etch stop layer (ESL) in loading control between different patterns which will both contribute to final loading. Different methods' loading results and the basic theory for explaining the loading phenomenon will be compared and discussed in following part.

The classical harmony search (HS) algorithm has been improved. The algorithm effectively prevents it from becoming trapped by a local optimal solution. It allows to be used to deale the shortest-path issue. To solve the shortest route problem, we improved the classical harmony algorithm and seek the optimal solution in the global scope. Second, by the application of the dynamic priority value encoding scheme, we constructed the path based on the priority value of correspondent nodes of variables in the harmonic vector. Through the iterative update of the harmony memory banks, we finally obtained the shortest route. Finally the simulation experiments show us that the proposed algorithm is better than PSO algorithm and HS algorithm on the performance.

Using Maxwell's curl equations and Post's constitutive relations, we obtained a generalized chiral nonlinear Schrodinger equation. This equation governs light transmission through a dispersive chiral fiber with combined action of chirality, nonlinearity, and dispersions. Simulations are based on the split-step Fourier beam propagation method and numerical results reveal the separate roles of dispersion and nonlinearity playing in the pulse evolution. For weak chirality, there is a possibility to modulate optical attenuation and nonlinearity which provides an additional dimension to balance the effects of dispersion and nonlinearity. These combined effects with the cooperation of chirality make temporal optical solitons for a single component which has an application in chiral fiber optic communications.

In advanced CMOS technology nodes with Cu/low-k interconnect, metal hard-mask approach AIO etch is the key process to define the physical structure of Cu line and via. The via hole and via slot always land on lower metal Cu as design rule requested. The time of beneath Cu exposed to fluorocarbon plasma in etch stop layer (ESL) opening step, especially for the via slot area, is critical for final trench depth and residual defect formation. The mechanism and solution of this phenomenon are addressed.

Pulsed capacitively coupled plasmas (CCP) was applied to self-aligned-via (SAV) based all-in-one (AIO) etching process. Effects of bias and synchronous pulsed plasmas on the AIO etching process were analyzed to improve the reliability and reduce the RC delay in back-end-of-line (BEOL) copper interconnect system. For steps of hard-mask open and partial via etch, synchronous pulsed plasmas were applied. Etch front roughness could be reduced using shorter duty cycle, which might be related to its more uniform deposition of polymer and higher power at the initial active-glow period. For steps of trench and liner removal etch, bias pulsed plasmas were applied. The chamfer profile of via could be improved, and larger bottom critical dimension (BCD) of via could be achieved with shorter duty cycle, which might be related to its higher selectivity between N-doped carbon (NDC, SiCN) and low-k (SiCOH).

As logic technology keeps shrinking to 28nm and below, Ultra Low-£ (ULK) dielectric film is widely used in BEoL (Back End of Line) to improve RC performance. To reduce k value damage, weaker post dry-etch cleaning is used to avoid methyl group loss, but the etch by-product removal capability is reduced also. Even with softer cleaning, the trench and via profile still will be affected due to ULK film is more sensitive to wet cleaning compared to low-k and TEOS film. The residual polymer and the sidewall profile will limit the subsequent Cu gap filling process margin, which needs more precise control of etch process. In the this paper, by means of post CMP defect scan, we demonstrate the correlation between Cu void performance and dual damascene profile, etch chemistry combination and loading control. Mechanisms of difference void formations are investigated. Based on that, corresponding tuning methods are investigated.

A position control method for a planar Acrobot based on fuzzy control is presented. The system control objective is to control the endpoint position from any initial position to any reachable target position. Firstly, the state constraint relationship between the active joint and the passive joint can be obtained by employing the complete integral characteristics of the planar Acrobot. Next, another constraint relationship between the endpoint position and two angles of the joints can be obtained according to the physical structure of the planar Acorobt. Then, two target angles of the joints can be searched by using the particle swarm optimization algorithm based on the above two kinds of constraint relationship. Finally, a fuzzy controller is designed for the planar Acrobot, and it can achieve the control objective quickly. When the active link is controlled to the target angle by the fuzzy controller, the passive link is also controlled to its target angle because of the state constraint relationship. That is, the system control objective is achieved. Simulation results demonstrate the effectiveness and rapidity of the proposed method.

Trench-first-metal-hard-mask (TFMHM) approach has been widely utilized for copper interconnect formation since 45nm CMOS technology node. In TFMHM process integration development, four major challenges have to be solved. The first is the gap-fill due to the small top trench CD and the introduction of metal hard mask; the second is to meet the electrical targets through lower capacitance, lower metal sheet resistance and lower via contact resistance; the third is to meet yield requirement that ensure no short, bridge and open in all the design rule allowed patterns, and eliminate all killer defects; the last is the reliability related issues including metal and via related TDDB, upstream EM and downstream EM. Coupled with the optimization of wet clean process and proper choice of metal hard mask, a smooth and tapered trench profile could be delivered and the gap-fill performance could be greatly improved. The optimization of barrier/seed process coupled with the desired trench profile, via bottom CD and via chamfer profile, the on-target electrical performance could be achieved. The via bottom CD and chamfer profile are also critical to interconnects and etch process parameter optimization is important for defect elimination. With partial SAV process optimization, via related TDDB issue is solved and trench related TDDB is also not a problem for the above gap-fill friendly trench profile. For EM, we found the downstream EM lifetime is improved by gap filling friendly process and proper copper line CD.

Business process reengineering frequently occurs in complex service systems because of its dynamic, random and varied running characteristics. To solve the problem, we proposed a novel SOA portfolio optimization algorithm based on value model and graph theory. Firstly, in order to strengthen the QoS analytical capacity of SOA, the value model is introduced into the SOA system to describe customer's service requirements of both function and non-function aspects. Next, a directed graph of SOA services and a value dependence graph of services are provided, as well as a service portfolio optimization algorithm designed based on the graphs. Finally, the simulated data case is used to analyze and verify the methods proposed in this paper. The result shows that introducing the value model and graph algorithm into the SOA-based service system can effectively improve the quality of service portfolio.

A community drainage system in arid area of northwest China was investigated, of which A# representing inspection well with catchment and without water drop, B# representing inspection well without catchment and water drop and C# representing inspection well with catchment and water drop. Through monitoring the pollutants concentration of different heights from water surface in inspection wells, from the blowhole of inspection wells and the pollutants concentration in the air near inspection wells, the impacts of gases emission from urban drainage system on the surrounding air quality was evaluated. The results showed that the level of hydrogen sulfide(H2S) and carbon dioxide (CO2) was much higher than that of ammonia(NH3)and methane(CH4) in inspection wells. Inspection well type and rainwater catchment also had a great influence on pollutants concentration. Through analyzing the air pollutants concentration near inspection wells, we found that the waste gases generated from urban drainage systems had a neglectable contribution to urban environmental air pollution.

The laboratory management department in higher schools is faced with the problem of assessing the management of computer laboratory objectively. The BP network can be established by selecting limited indexes and adopting appropriate samples. This paper obtains the evaluation model by using 13 evaluating indicators and training network.. The results show that the management of computer laboratory can be better assessed by it.

Tracking ground targets with GMTI sensors has been considered a challenging problem. This paper introduces a reformative unscented kalman filter for airborne GMTI radar tracking problem. A novel airborne GMTI radar observation model is proposed by analizing the airborne radar observations. To reduce the nonlinear relation between the Doppler observation and target state, Doppler observation is defined by a predigested distribution function. Experimental results show that the proposed approach is effective for airborne GMTI radar tracking with a low computation burden.

Intrusion Detection Systems (IDSs) have become an efficient defense tool against network attacks since they allow network administrator to detect policy violations. However, traditional IDs are vulnerable to original and novel malicious attacks. Also, it is very inefficient to analyze from a large amount volume data such as possibility logs. In addition, there are high false positives and false negatives for the common IDSs. Data mining has been popularly recognized as an important way to mine useful information from large volumes of data which is noisy, fuzzy, and random. Thus, how to integrate the data mining techniques into the intrusion detection systems has become a hot topic recently. In this paper, we present the whole techniques of the IDS with data mining approaches in details.

The aggregation of α-synuclein (a-Syn) is implicated as a critical factor in Parkinson's disease and other neurodegenerative diseases. Some short peptides based on the native sequences of amyloid proteins are able to prevent the β sheet-rich aggregation and block the toxicity of the aggregates. In this study, five kind short peptides with delivery peptide R7P1~R7P5 were designed, and α-syn(A53T), a-syn(S129A) and α-Syn(WT) which are mutants of α-syn were used as research objects. Fused α-Syn protein domain upstream to Green Fluorescence Protein (GFP), and bicistronic coexpressed the short peptides with delivery system with α-Syn to form a GFP coexpression fusion system. The corresponding correct expressed clones were obtained in E.Coli. GFP was used as label to make the fold of protein visible. The changes of the fold states of these three mutants caused by the action of the designed short peptides were observed. Results showed that, for α-Syn (A53T) G, α Syn(S129A)G and α-Syn(WT)G, the inhibition aggregation ability of short peptide R7P3 (M(R)7KLMRVGGA VVTGR) increased 43%, 140%, and 117% with ASH (MGGAVVTGR) as control, and increased 47% 64% and 39% with ASI1D (MRRGGAVVTG(R)6) as control. At the same time, for the inhibition aggregation of α-Syn(A53T)G and α-Syn(S129A)G, R7P3 increased 16% and 95% higher than those of without delivery system P3 respectively. Therefore, R7P3 (M(R)7 KLMRVGGAVVTGR) is a promising short peptide with delivery system for the inhibition aggregation of α-Syn G.

The principle of value engineering was adopted to analyze the functions and cost of concrete frame beams. On the basis of “value factor identification method”, it has been decided that the longitudinal reinforcement is the major design target in the reform of cross-sectional design of concrete frame beams. Through the study on the characteristics of reinforcement and design methods of cross sections, modified methods for the cross-sectional design of reinforced concrete frame beams were put forth. Practical cases show that the methods proposed in the paper have marked effect on saving of longitudinal reinforcement and reduction of material cost of reinforced concrete frame beams, hence are of significant value in engineering application.

Based on the structural features of projectile and concrete target, projectile damage mechanism and destroyed mode of target materials, utilizing the LS-DYNA which is a program that analyze dynamics to simulate the process of the target being intruded and damaged. The result is cohesive with theory and rules. At the same time, analyzing and validating the result by contrasting result and test result.. It shows that the computational model and simulation method are reasonable and practicable.

When an equipment is attacked by ammunition, ball cartridge experiment of estimating the broken parts in the equipment costs too much, takes long period and is danger to people; comparatively, the simulation method is economical, efficient and safe, which could also forecast the damaged components. In this paper, adopting finite element method, a research has been made on numerical simulation of shaped charge warhead penetrating into armor-plate by AUTODYN software. It has analyzed three phases of the penetration and has obtained data of kinetic energy, average velocity and momentum of the jet which changed over time. In all, the results have provided the basic data for the evaluation of the internal damage components of equipment.

This paper present an efficient technique for the analysis of electromagnetic scattering by a conducting sphere coated with uniaxial anisotropic media. The technique is based on the method of higher order MoM of the surface integral equations. This higher order MoM solution uses the higher order hierarchical basis functions which are based on the modified Legendre polynomials. Numerical examples results are given to demonstrate that the higher order hierarchical basis functions are accurate and efficient in the calculations of anisotropic uniaxial-coated conducting objects. The number of unknowns decreases dramatically.

In this paper, the field decomposition method is used to split the homogeneous Bi-isotropic media into two uncoupled isotropic media instead of direct calculation of complicated Green's function in Bi-isotropic material. The construction of formulation using Poggio-Miller-Change-Harrington-Wu-Tsai (PMCHWT) integral equation for multiple homogenous dielectric objects and the electric field integral equation(EFIE) for conducting objects. The multilevel Green's function interpolation method (MLGFIM) is used to iteratively solve the resultant problem. Its multilevel discretization can speed up the matrix-vector multiplication in the iterative solution, which requires computational complexity of O(N log N) and memory cost of O(N). The resultant system is solved by generalized minimum residual with deflating restarting (GMRES-DR).

Although the cooperative advertising has been discussed for several years. But the existed results are single supplier to single vendor case. This paper aims to extend the cooperative advertising problem to single supplier to many competitive vendors. Consider the demand of vendors is influenced not only the vendors' but also the competitors' advertising input, based on the mechanism of single supplier to many competitive vendors, and come to three main conclusions based on "one to many" supply chain model.

Blockage of hollow strands' waterway can cause cooling-water flux decreasing, cooling effect falling and stator bar overheating in water-cooling turbo-generators, which could induce generators not to operate normally. It helps to calculate precisely temperature field of generators and diagnose incipiently the plugging fault of cooling-waterway that one study fluid characteristic of cooling-water on hollow strands blocked in turbo-generators. In accordance with generators structure and computational fluid dynamics (CFD), the cooling-water fluid field of turbo-generators stator was studied when the cooling waterway was blocked. Velocity field of cooling-water was researched by applying finite element method(FEM) when the hollow-strands were blocked in different positions and plugging extent. The paper analyzed influence of blockage site and extent on flow characteristic of water in hollow strands. The achievement can be used for calculation of temperature filed and early diagnosis of blockage fault in generators.

Product Innovation is not only promoted by technology, but also promoted by demand. The article analyses the factors that affect product innovation after analyses Product innovation model. The article also constructs a system dynamics model called “product innovation — economic growth” by using the principle of the Balanced Scorecard. Then Use the model to plan, control and manage the product innovation activities of enterprises in order to improve the efficiency of product innovation and promote economic growth better.