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Booming Internet finance and interest rate market make the banks pay more attention to the issue of sustainable development. This study analyzes the factors that affect the sustainable development of banks by collecting 11 indicators, including deposit-loan ratio, non-performing loan ratio, capital adequacy ratio, asset profit margin, deposit growth rate, liquidity ratio, loan growth rate, operating income, operating profit, deposit amount and loan amount. Establish linear regression model to analyze the factors that affect the bank’s sustainable development.According to the comprehensive evaluation value of sustainable development is obtained,the score of sustainable development is increasing according to the year and community banking benefits increase. It shows that the existing business model of Community Bank built by Guilin Bank is sustainable and has an impact on its future development.

Ciphertext-policy attribute-based encryption (CP-ABE) is applied to many data service platforms to provides secure and fine-grained access control. In this paper, a new CP-ABE system based on the algebraic decision diagram (ADD) is presented. The new system makes full use of both the powerful description ability and the high calculating efficiency of ADD to improves the performance and efficiency of algorithms contained in CP-ABE. First, the new system supports both positive and negative attributes in the description of access polices. Second, the size of the secret key is constant and is not affected by the number of attributes. Third, time complexity of the key generation and decryption algorithms are O(1). Finally, this scheme allows visitors to have different access permissions to access shared data or file. At the same time, PV operation is introduced into CP-ABE framework for the first time to prevent resource conflicts caused by read and write operations on shared files. Compared with other schemes, the new scheme proposed in this paper performs better in function and efficiency.

Traditional principal component analysis (PCA) is a common linear dimension reduction algorithm, but its dimension reduction effect is relatively poor, and the algorithm takes a long time, and it can not meet the prediction target well when applied to the actual scene. Therefore, by introducing the concept of mutual information in information theory and combining with the idea of entropy weight method, an improved PCA algorithm ew-pca is proposed. Firstly, mutual information threshold is set for feature screening, and then the concept of weighted average value is proposed to improve the data centralization process. Finally, the entropy weight is introduced to improve the principal component to optimize the dimensionality reduction process. KNN and SVM algorithm are used to predict and analyze the processed data set. Compared with the traditional PCA algorithm, the improved ew-pca algorithm has better dimension reduction effect and higher prediction accuracy.

Security is critical to today's interconnected world, and hardware protection is equally important as security at the network and system levels. Silicon physically unclonable functions (PUFs) are increasingly used as a hardware root of trust and an entropy source for cryptography applications. In those applications, the reliability of PUF output is key to a successful implementation. Both weak and strong PUFs obtain output by amplifying analog signals from physical properties on IC blocks (e.g. propagation delay, ring oscillator, time-controlled oxide breakdown [1] or threshold voltage of SRAM transistors [2,3,4]). These physical measurements are by nature sensitive to environmental conditions, such as temperature, operating voltage, thermal/interface noise of transistors, process corners and aging. As a result, it is difficult to obtain a stable PUF output without taking additional stabilization and error-correction techniques, e.g. temporal majority voting (TMV), pre-burning on PUF bits for end-of-life (EOL) prediction and reliability screening, masking algorithms, as well as leveraging parity bits for an Error-Correcting-Code (ECC) [3,4]. This paper presents a PUF architecture fabricated in 55nm ultra-low-power (ULP) CMOS and 55nm embedded Flash. The scheme is able to produce reliable and uniformly random PUF output without the need for complex error correction or error bit testing.

Filter bank multicarrier (FBMC) modulation has many nice features compared with conventional cyclic prefix-based orthogonal frequency multiplexing (CP-OFDM) and has been considered as a promising waveform candidate for future 5G wireless communication. Combining FBMC with multiple-input multiple-output (MIMO) technology may achieve high data rate. In this paper, we propose the K-Best algorithm based uncoded and coded iterative detectors for MIMO-FBMC systems to approach near maximum-likelihood (ML) performance with low computational complexity. The proposed coded detector is capable of supporting soft-outputs, we can concatenate it with soft-input code, such as the LDPC code, to achieve additional performance gain. Meanwhile, we propose interference cancellation method to eliminate the intrinsic interference in the MIMO-FBMC system. Simulation results prove that the proposed detectors achieve approximate ML performance with moderate complexity.

Helicopter sling load has a wide range of applications. However, the sling load of helicopter may make it dangerous. In this paper, the spot hover control and the swing control of helicopter sling load system are investigated. To solve the problems, the ZG method, which is the combination of Zhang dynamics (ZD) and gradient dynamics (GD) methods, is adopted. Firstly, with the purpose of helicopter spot hover considered, a z2g1 controller is designed and proposed by using the ZG method, where ZD is used for two times and GD is used for one time. Secondly, with the purpose of swing control of helicopter sling load considered, another z2g1 controller is designed and proposed. Simulation results on a mathematical model of helicopter sling load system equipped with the proposed z2g1 controllers are presented for different control purposes, which substantiate the effectiveness and significance of the proposed method and controllers.

Stereo matching is a research hotspot in binocular vision. Speed and accuracy are key problem. “Stripes” phenomenon often appears in disparity map generated by using traditional stereo matching algorithm based on dynamic programming. In order to solve this problem, the absolute difference combining Census transformation similarity measure strategy is constructed, the reliability of the initial matching cost is improved. At the same time, the new smooth model is established to simplify the parameter selection and the uncertainty of matching is effectively eliminated. Dynamic method of variable search radius is designed, which is able to keep the disparity smooth in the area where view image gradient is small and allow the disparity jump in the area where view image with strong gradient. The matching accuracy and speed are improved by using this method. The experimental results show that the effectiveness of the proposed algorithm in this paper.

Based on the principle of system dynamics, the text rising the mathematics model about the regional tourism development of north China. By using the Simulink of MATLAB, we set up the homologous calculator to imitate the true model, getting the simulation result of the regional tourism development of north China. Through analysis of the simulation results has provided practical and feasible scientific basis for the region tourism's development.

This paper proposes a single-stage, high-power-factor LED driver with zero-voltage-switching (ZVS) and current-sharing features. A buck-boost typed power-factor corrector (PFC) is integrated with an LLC resonant dc-dc converter to form the presented circuit. Both the active switches can turn on with ZVS, and both the output rectifier diodes can turn off with zero-current-switching (ZCS). The current sharing of LED channels is achieved naturally by employing multiple transformers and connecting their primary windings in series. The proposed single-stage converter has the features of simple circuit structure, low dc-bus voltage, and high system reliability. Operation principles, and circuit analysis of the proposed converter are addressed. Finally, the experimental results of a laboratory prototype are provided to verify the validity of the theoretical predictions and the feasibility of the proposed circuit.

This paper proposes an improved method to track the maximum power point (MPP) of photovoltaic arrays through the combination of the linear approximation (LA) method and the perturbation-and-observation (P&O) method. The LA method rapidly takes operation point to within a range close to the actual MPP, and then the P&O method continuously tracks the exact MPP with fine perturbation steps. Therefore, the fluctuations in steady-state can be minimized. The proposed maximum power point tracking (MPPT) method has the advantages of faster tracking, fewer fluctuations, and higher accuracy over the conventional MPPT methods. The experimental results of an illustrative example are obtained to demonstrate the feasibility of the proposed MPPT algorithm.

Differentiation protection is the successful operation of the main protection of all the electrical equipments, it has the characteristics of high sensitivity, better selectivity etc. The paper is on the basis of the whole statement on the theory of longitudinal differential protection of transformer, when the transformer in which the current at both ends have phase-angle difference cuts short outside the protection area, the reason why the difference of transformer won't move by wrong is ignored in practice. This paper discusses the concept of relative equation and discusses that the phases difference of different phase current will not affect the establishment of the equation when external short circuit happens. From the view that the power exchange point works relatively independently. At the same time, it points out the relationship between whether the protection moves or not and the relative equation when internal short circuit happens. This paper analyzes the amplitude of collection current, and put forward the resolutions of the imbalanced current in the longitudinal differential protection of transformer, it draws the conclusion that it won't move.

In the paper, through establishing dynamic simulation mathematical model, the effect of vacuum system's tightness on thermal economy of steam turbine has been analyzed based on the experiment. At the same time, through analyzing the seeking of a substitute for the experiment on vacuum tightness, to evaluate the way that vacuum tightness of steam turbine effects thermal economy. The conclusion of this paper has reference value for evaluating the effect of vacuum system's tightness on thermal economy of steam turbine.

In order to test the overall credit risk of loans of China's banking system, a macroeconomic credit risk model is designed, including a multiple linear regression model describing default probability, and a set of regression models describing macroeconomic environment. Studies show that bank loan default rates and key macroeconomic factors are related. Then stress tests are implemented one by one according to different shocks. The results showed that most banks continue to profit even at 90% confidence level when estimated risk of loss, reflecting a moderate credit risk in the banking system. However, if confidence level rises to 99% when estimated risk of loss, the banking system will face significant losses. The results show that it is necessary to prevent the credit risk of real estate loans and government debt. Key words: macro stress-testing; credit risk; SUR; Monte Carlo method