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About 4,921 papers for “string processing”

String Instrument Tuner using signal processing algorithms

V. Venkataramanan, Palak Koul, Pranali Kurani et al. · Advances in computer science research · 2024

Advances in digital signal processing technology allow it to be used for ever wider operations.Developers will be challenged to take this processing dominance to the extreme in creating new uses and improving existing ones.Numerous ways to reuse signals and images are now available.Several conformations of transforms (Fourier transform, Hadamard transform, Walsh transform, Haar transform, skew transform, Karhunen-Loeve transform, SVD, singular value decomposition) have been developed and are employed as building blocks, in batch processes, and in data contraction.Intricate processing procedures.Efficient algorithms that solely forbid the Karhunen-Loeve transfigure have been found.This field is especially interested in the disquisition of committed infrastructures, which enable efficient utilization in real-time operations (basically in the case of 2-D).Data is transmitted by signals in practically any field that can be imagined.Similar to the healthcare industry, they are astronomically profiting from what is expected to be a high-growth trend in the future.Employing cosmopolitan data processing techniques, medical image analysis and interpretation are made feasible by the signal processing's resilience to the usage of X-ray, MRI, and CT reviews.Signal processing engineers are essential in mastering and exploring our most pressing worldwide issues because signal processing really enables you to boost your computing power and data warehousing talents.It takes more than just preserving your employment against automation or producing new jobs to pursue a career in this sector.It's all about making the world a better place.

Cited by 0Open access

A Resistor String DAC for Video Processing

Liu De-ji, Chien‐Hung Lin, Shu-Chung Yi et al. · 2007

This paper presents a Digital to Analog Converter (DAC) suitable for video applications. This DAC can generally simplify conventional DAC circuits. The 8-bit DAC only requires twelve switches and twelve resistors to achieve the goal of high speed and low power applications. This DAC is implemented by TSMC 0.18 mum process technology. The simulation results of our work with integral non-linearity (INL) and differential non-linearity (DNL) is less than 1.57 LSB and 0.12 LSB, respectively. The average power consumption is only 1.10 mW/MHz.

Cited by 6

KSPLIB, Character String Processing Library Routines, User Manual.

Carbrey,Bruce D · Defense Technical Information Center (DTIC) · 1977

This report describes a set of general-purpose, FORTRAN-callable functions and subroutines for manipulating character-strings. Character-strings of arbitrary length can be treated as simple (non-dimensioned) variables. Functions are provided for string definition, string concatenation, substring extraction, string comparison, pattern matching and searching, numeric-string/string-numeric conversions, string input/output, and other tasks. The routines described are moderately system-dependent, and are currently available as an object program library on the cdc 6500/6600 computers at the arradcom dover, New Jersey site. (Author)

Cited by 0

stringi: Fast and Portable Character String Processing Facilities

Marek Gagolewski · 2014

A collection of character string/text/natural language processing tools for pattern searching (e.g., with 'Java'-like regular expressions or the 'Unicode' collation algorithm), random string generation, case mapping, string transliteration, concatenation, sorting, padding, wrapping, Unicode normalisation, date-time formatting and parsing, and many more. They are fast, consistent, convenient, and - thanks to 'ICU' (International Components for Unicode) - portable across all locales and platforms. Documentation about 'stringi' is provided via its website at &lt;<a href="https://stringi.gagolewski.com/" target="_top">https://stringi.gagolewski.com/</a>&gt; and the paper by Gagolewski (2022, &lt;<a href="https://doi.org/10.18637%2Fjss.v103.i02" target="_top">doi:10.18637/jss.v103.i02</a>&gt;).

Cited by 5Open access

PROCESSING OF STRING THROUGH VARIOUS LANGUAGE IN AUTOMATA

2015

Language plays an important aspect in the life of all beings. Language can be defined as verbal, physical, biologically innate, and a basic form of communication. Language helps to fulfill our wants and needs. Language is the ability to acquire and use complex systems of communication. Human beings can communicate with each other. We are able to exchange knowledge, beliefs, opinions, wishes, threats, commands, thanks, promises, declarations, feelings But when we share any sensitive information over the internet their must be some security threats from intruders.We can protect our information through security feature on internet. In this paper, we are introducing some string processing techniques in automata, which protect our data from intruders.

Cited by 0

Effective string processing and matching for author disambiguation

Wei-Sheng Chin, Yu-Chin Juan, Yong Zhuang et al. · 2013

Track 2 in KDD Cup 2013 aims at determining duplicated authors in a data set from Microsoft Academic Search. This type of problems appears in many large-scale applications that compile information from different sources. This paper describes our solution developed at National Taiwan University to win the first prize of the competition. We propose an effective name matching framework and realize two implementations. An important strategy in our approach is to consider Chinese and non-Chinese names separately because of their different naming conventions. Post-processing including merging results of two predictions further boosts the performance. Our approach achieves F1-score 0.99202 on the private leader board, while 0.99195 on the public leader board.

Cited by 26

A spatial development of a string processing tool for encoding architectural design processing

Buthayna Eilouti · Art Design & Communication in Higher Education · 2007

Designers, students and educators of design use graphs and diagrams to illustrate the process of product analysis and synthesis. The available visual aids in the toolbox of designers are extremely limited. This article introduces a new pictorial representation tool that helps designers encode the process of composing and classifying the forms of generated designs. The proposed tool is based on a cross-cultural reproduction of finite state automata from the field of formal languages to represent the form derivation process in architectural design. Exercises on some applications of the new tool are constructed to illustrate an incremental process of form generation in design. The proposed tool implementation as suggested by the exercises can be used to train students to think logically and analytically about the design process. However, within the scope of this article, the tool is not tested in real design studio settings. The tool is developed to form a basis for further transformations from mathematical formalisms into computerized models that may be used to automatically derive, analyse and recognize stylistic features of formal compositions, and may be further developed into an E-learning design program.

Cited by 5

The Architecture of a Software Library for String Processing

Czumaj Ferragina, A. Czumaj, P. Ferragina et al. · 1997

We present our project to develop a software library of basic tools and data structures for string processing. Our goal is to provide an environment for testing new algorithms as well as for prototyping. The library has a natural hierarchy comprising basic objects such as the alphabet and strings, data structures to manipulate these objects, and powerful algorithmic techniques driving these data structures. Furthermore, it has the natural taxonomy imposed by the underlying string processing tasks (such as static/dynamic, off-line/on-line, exact/approximate). We believe that our architecture presents a unified view of string processing encompassing recently developed techniques and insights -- this may be of independent interest to those who seek an introduction to this field. Our design is preliminary and we hope to refine it based on feedback. 1. Introduction String problems have attracted a lot of interest throughout the history of Computer Science. Many areas and applications have ...

Cited by 0

stringi: Fast and portable character string processing in R

Gagolewski, Marek · Zenodo (CERN European Organization for Nuclear Research) · 2023

1.8.1 (2023-11-09) [GENERAL] ICU bundle updated to version 74.1 (Unicode 15.1, CLDR 44). [BACKWARD INCOMPATIBILITY] [BUILD TIME] Support for Solaris has now been dropped. The package is no longer shipped with the very outdated ICU55 bundle. A compiler supporting at least C++11 as well as ICU >= 61 are now required. [BACKWARD INCOMPATIBILITY] #469: Missing date-time fields in stri_datetime_parse and stri_datetime_create now default to today's midnight local time. [BACKWARD INCOMPATIBILITY] Removed the long-deprecated and defunct fallback_encoding parameter of stri_read_lines and the ellipsis parameter of stri_opts_collator, stri_opts_regex, stri_opts_fixed, and stri_opts_regex. [BUILD TIME] As per the suggestion of Prof. Brian Ripley, icudt74l (ICU data - little endian) is now included in the source tarball (compressed with xz to save space). This allows for building stringi on systems with no internet access. [NEW FEATURE] #476: In break iterator-, date-time-, and collator-based operations (e.g., stri_sort), a warning is emitted when the root ICU resource bundle is returned when using an explicitly requested locale. This might happen when we pass an 'unknown' locale argument to these functions. Note that when relying on the default locale=NULL argument, no warning is emitted. In such a case, checking if the default locale as returned by stri_enc_get is amongst those listed in stri_enc_list is recommended. [NEW FEATURE] The C locale identifier now resolves to en_US_POSIX. [BUGFIX] #469: stri_datetime_parse did not reset the Calendar object when parsing multiple dates. [BUGFIX] #487: Some functions did not accept ASCII strings longer than 858993457 characters on input.

Cited by 0Open access

stringi: Fast and portable character string processing in R

Gagolewski, Marek · Zenodo (CERN European Organization for Nuclear Research) · 2023

1.7.12 (2023-01-09) [BUGFIX] Fixed some potential problems reported by <code>rchk</code>. [NOTE] [BACKWARD INCOMPATIBLE CHANGE IF ICU &gt;= 72] If building against ICU &gt;= 72, note a backward incompatible change: <code>@</code> is no longer a word break; see https://github.com/unicode-org/cldr/pull/2256 for more details.

Cited by 0Open access