1.
Fuzzy neural network based on the SAM system
基于标准可加性模型的模糊神经网络
2.
Certificate-based hybrid encryption scheme in the standard model
标准模型下基于认证的混合加密算法
3.
On the Strongly Unforgeable Digital Signatures in the Standard Model
标准模型下强不可伪造数字签名研究
4.
Risk Acceptability Criterion and Index Model for Oil and Gas Pipelines
油气管道风险可接受准则与指标模型
5.
Study of security of proxy multi-signature under standard model
标准模型下的代理多重签名的安全性
6.
The Accuracy of Risk Measurement model Base on Standard Residuals;
基于标准残差的极值风险模型准确性研究
7.
Chosen Ciphertext Secure Identity-based Encryption in the Standard Model
标准模型下选择密文安全的基于身份加密方案
8.
Generic Construction of Certificate-based Encryption Scheme in the Standard Model
标准模型下基于证书的加密方案的通用构造
9.
A New Hierarchical Identity-Based Encryption in the Standard Model
标准模型下一种新的基于身份的分级加密方案
10.
The FIPS-ZZ40-ZZ cryptographic module limits security FIPS-ZZ40-ZZ functions to those approved by the United States Federal Government's internal standards.
加密模块可以把安全性功能限制为美国联邦政府内部标准认可的那些功能。
11.
Researsch of Analog Circuit Functionality Test Module Based on IEEE1149.4 Standard
基于IEEE 1149.4标准的模拟电路功能性测试模型研究
12.
The SS7 standard maps onto the OSI 7-Layer Reference Model, and consists of the following layers:
SS7标准可映射到OSI7层参考模型，并由下列层组成：
13.
New provably secure identification protocol in standard model
新的在标准模型中可证安全身份鉴别协议
14.
Efficient identification protocol provably secure in standard model
高效的标准模型下可证安全的身份鉴别协议
15.
Based on the field measurement data, the least squaresmethod and the direct optimization method are compared for a realistic system load modeling.
对一实际工业用户负荷模型参数辨识表明，步长加速法优于常用的标准格式线性最小二乘法。
16.
Results The accuracy and precision of standardized phantom were ?0.1%? and 8.6%.
结果自制标准体模精确性和准确性分别是0．1％和8．6％，性能可靠。
17.
Robust stability analysis of delayed discrete-time standard neural network model
离散时滞标准神经网络模型的鲁棒稳定性分析
18.
The Application Analysis of Logistics Standardization in Enterprise and the Model of Informational Share Game
物流标准化应用性分析及信息共享博弈模型