A New Way to Store Simple Text Files

Abstract

In the era of ubiquitous digitization, the Internet of Things (IoT), information plays a vital role. All types of data are collected, and some of this data are stored as text files. An important aspect—regardless of the type of data—is related to file storage, especially the amount of disk space that is required. The less space is used on storing data sets, the lower is the cost of this service. Another important aspect of storing data warehouses in the form of files is the cost of data transmission needed for file transfer and its processing. Moreover, the data that are stored should be minimally protected against access and reading by other entities. The aspects mentioned above are particularly important for large data sets like Big Data. Considering the above criteria, i.e., minimizing storage space, data transfer, ensuring minimum security, the main goal of the article was to show the new way of storing text files. This article presents a method that converts data from text files like txt, json, html, py to images (image files) in png format. Taking into account such criteria as the output size of the file, the results obtained for the test files confirm that presented method enables to reduce the need for disk space, as well as to hide data in an image file. The described method can be used for texts saved in extended ASCII and UTF-8 coding.

Chaos-Based Cryptography: Text Encryption Using Image Algorithms

“…Detailed data of this issue are presented in Table 1. This observation is described in more detail in [35].…”

“…The authors in [35] present a simple algorithm for changing the message format from text to image. This procedure was not related to one of the encryption steps.…”

Floating-gate based PN blending optoelectronic synaptic transistor for neural machine translation

“…Indacenodithiophene-benzothiadiazole (IDTBT) and [6,6]-phenyl C61 butyric acid methyl ester (PC 61 BM) (the chemical structures of them are shown in Fig. S3) were purchased from Derthon Optoelectric Materials Science Technology Co. Ltd. and used without further purification.…”

“…With the fusion of multiple languages and the continuous emergence of new words, the calculation results of the NMT model have become more and more complex [5], and the number of components required for decoding has increased rapidly, which results in a slow-decoding speed and high-energy consumption. In order to alleviate the difficulty of decoding, significant efforts have been devoted to the optimization of algorithms (such as importance sampling and monolingual data to speed up translation) and tremendous progress has been made in the software [6][7][8][9][10], while little attention has been paid to hardware which is equally important for the development of decoding. Due to the separation between the storage and processing units, the conventional computers based on the traditional von Neumann architecture extremely limit the development of highly efficient computing and decoding [11].…”

CComp: Sıkıştırılmış kelime arama için paralel bir sıkıştırma algoritması

“…Üretilen verideki dramatik artışla birlikte veri sıkıştırmanın önemi artmaktadır [1]. Veri sıkıştırma, ses, görüntü, metin ve video gibi çeşitli veri türleri için kullanılabilmektedir [2]. Bu yöntemlerden bazıları kayıplı sıkıştırma gerçekleştirirken, kayıpsız sıkıştırma da yaygın olarak kullanılmaktadır [3].…”