A certification path is an ordered list of certificates starting with a certificate issued by the relying
party s trust root, and ending with the target certificate that needs to be validated. Certification
path validation procedures are based on the algorithm supplied in ITU-T Recommendation X.509
and further defined in Internet Engineering Task Force (IETF) Request for Comments (RFC)
3280. Certification path processing verifies the binding between the subject distinguished name
and/or subject alternative name and the subject public key defined in the target certificate. The
binding is limited by constraints, which are specified in the certificates that comprise the path,
and inputs that are specified by the relying party. To ensure secure interoperation of PKI-enabled
applications, the path validation must be done in accordance with the X.509 and RFC 3280
specifications. This document provides the test assertions and the test cases for testing path
validation software against these specifications.
Learn how to leverage a key Java technology used to access
relational data from Java programs, in an Oracle environment.
Author Donald Bales begins by teaching you the mysteries of
establishing database connections, and how to issue SQL queries
and get results back. You ll move on to advanced topics such as
streaming large objects, calling PL/procedures, and working
with Oracle9i s object-oriented features, then finish with a look at
transactions, concurrency management, and performance
18B20和單總線的時序及其工作原理,51單片機控制的18B20程序(包括多個18B20的程序)18B20 and single-bus timing and its working principle, control of 51 single-chip 18B20 procedures (including procedures for more than 18B20)
最小二乘法曲面擬合,包括C程序及說明文件。對于搞三維重建的有一定幫助-Least squares surface fitting, including the C procedures and documentation. For engaging in three-dimensional reconstruction to some extent help the
Having dealt with in-depth analysis of SS#7, GSM and GPRS networks I started to monitor
UTRAN interfaces approximately four years ago. Monitoring interfaces means decoding
the data captured on the links and analysing how the different data segments and messages
are related to each other. In general I wanted to trace all messages belonging to a single
call to prove if the network elements and protocol entities involved worked fine or if there
had been failures or if any kind of suspicious events had influenced the normal call
proceeding or the call’s quality of service. Cases showing normal network behaviour have
been documented in Kreher and Ruedebusch (UMTS Signaling. John Wiley & Sons, Ltd,
2005), which provides examples for technical experts investigating call flows and network
procedures.
Identification is pervasive nowadays in daily life due to many complicated activities such as
bank and library card reading, asset tracking, toll collecting, restricted access to sensitive data
and procedures and target identification. This kind of task can be realized by passwords, bio-
metric data such as fingerprints, barcode, optical character recognition, smart cards and radar.
Radiofrequencyidentification(RFID)isatechniquetoidentifyobjectsbyusingradiosystems.
It is a contactless, usually short distance, wireless data transmission and reception technique
for identification of objects. An RFID system consists of two components: the tag (also called
transponder) and the reader (also called interrogator).
The past decade has seen an explosion of machine learning research and appli-
cations; especially, deep learning methods have enabled key advances in many
applicationdomains,suchas computervision,speechprocessing,andgameplaying.
However, the performance of many machine learning methods is very sensitive
to a plethora of design decisions, which constitutes a considerable barrier for
new users. This is particularly true in the booming field of deep learning, where
human engineers need to select the right neural architectures, training procedures,
regularization methods, and hyperparameters of all of these components in order to
make their networks do what they are supposed to do with sufficient performance.
This process has to be repeated for every application. Even experts are often left
with tedious episodes of trial and error until they identify a good set of choices for
a particular dataset.
Current field forecast verification measures are inadequate, primarily because they compress the comparison
between two complex spatial field processes into one number. Discrete wavelet transforms (DWTs) applied to
analysis and contemporaneous forecast fields prove to be an insightful approach to verification problems. DWTs
allow both filtering and compact physically interpretable partitioning of fields. These techniques are used to
reduce or eliminate noise in the verification process and develop multivariate measures of field forecasting
performance that are shown to improve upon existing verification procedures.
