Thermochromic Polymeric Films for Applications in Active Intelligent Packaging—An Overview

The need for passive sensors to monitor changes in temperature has been critical in several packaging related applications. Most of these applications involve the use of bar codes, inks and equipment that involve constant complex electronic manipulation. The objective of this paper is to explore solutions to temperature measurements that not only provide product information but also the condition of the product in real time, specifically shelf-life. The study will explore previously proposed solutions as well as plans for modified approaches that involve the use of smart polymers as temperature sensors.

ALGORITHMIC PROVISION OF ERROR-CORRECTING MULTI-COLORED BARCODE PATTERNS BASED ON GF(p)

Background. In recent years, there has been a steady trend towards the using of multi-colored barcodes. This increases the information density of the data compared to black and white barcodes. However, this complicates the processes of recognition and decoding of bar code images. Therefore, in order to reliably read multi-colored barcodes from an object, it is necessary to ensure noise immunity of bar code patterns – the minimum structural units of the bar code image. Objective. The purpose of the paper is development of a method for the synthesis of symbolics of multi-colored bar codes, which have the property of noise immunity at the level of bar code patterns. Methods. This goal is achieved through the using of multivalued incomplete Hemming codes as the basis for constructing bar code patterns. The numerical equivalent of the bar code pattern is a code word of the multi-valued Hemming code, in which the encoding-decoding operations are performed according to the rules of a finite field GF(p). Results. A number of error-correcting multi-colored barcodes have been proposed, in which one-time distorted element (error) is corrected at the level of barcode pattern and a significant number of multiple distortions are detected. The error-correcting capability of multi-colored barcode patterns has been evaluated. Conclusions. The proposed method of the synthesis of symbolics of multi-colored barcodes allows creating barcodes with improved error-correcting characteristics, which provides the appropriate level of reliability of the process of reading multi-colored barcodes in automatic identification systems.

Decoding the Cauzin Softstrip: a case study in extracting information from old media

Having content in an archive is of limited value if it cannot be read and used. As a case study of extricating information from obsolete media, making it readable once again through deep learning techniques, we examine the Cauzin Softstrip: one of the first two-dimensional bar codes, released in 1985 by Cauzin Systems, which could be used for encoding all manner of digital data. Softstrips occupy a curious middle ground, as they were both physical and digital. The bar codes were printed on paper, and in that sense are no different in an archival way than any printed material. Softstrips can be found in old computer magazines, computer books, and booklets of software Cauzin produced. However, managing the digital nature of these physical artifacts falls within the scope of digital curation. To make the information on them readable and useful, the digital information needs to be extracted, which originally would have occurred using a physical Cauzin Softstrip reader. Obtaining a working Softstrip reader is already extremely difficult and will most likely be impossible in the coming years. In order to extract the encoded data, we created a digital Softstrip reader, making Softstrip data accessible without needing a physical reader. Our decoding strategy is able to decode over 91% of the 1229 Softstrips in our Softstrip corpus; this rises to 99% if we only consider Softstrip images produced under controlled conditions. Furthermore, we later acquired another set of 117 Softstrips and we were able to decode nearly 95% of them with no adjustments to the decoder. These excellent results underscore the fact that technology like deep learning is readily accessible to non-experts; we obtained these results using a convolutional neural network, even though neither of the authors are expert in the area.

Generating and printing bar codes in IRBIS64

Several technological aspects of generating and printing bar codes are examined. Options of using bar codes in libraries, bar code generation models and appropriate IRBIS applications are discussed in brief. SB RAS SPSTL has developed the new system for generating bar code batches for further literature processing. The system is generated on IRBIS64 platform. Optional use of the system is discussed; possible improvements for bar code generation system are offered.

Identification of QR Code Perspective Distortion Based on Edge Directions and Edge Projections Analysis

QR (quick response) Codes are one of the most popular types of two-dimensional (2D) matrix codes currently used in a wide variety of fields. Two-dimensional matrix codes, compared to 1D bar codes, can encode significantly more data in the same area. We have compared algorithms capable of localizing multiple QR Codes in an image using typical finder patterns, which are present in three corners of a QR Code. Finally, we present a novel approach to identify perspective distortion by analyzing the direction of horizontal and vertical edges and by maximizing the standard deviation of horizontal and vertical projections of these edges. This algorithm is computationally efficient, works well for low-resolution images, and is also suited to real-time processing.

A Portable Electronic Transaction Device Based on Dual Interface Smart Card

<p class="0abstract">In recent years, electronic money facilities are increasingly diverse. It may replace conventional payments. The use of physical money can be diminished by utilizing digital money, which is realized by smartphone apps, bar codes, smart cards, and so on. The types of smart cards used also vary, and it can be divided into two methods, i.e., with contacts and without contact. In this work, we develop electronic transaction devices using dual interfaces: contact and contactless smart cards. As computational processing, we employ the Raspberry Pi 3 Model 3. It has a high processing speed, large memory, and small size. Hence our system enables to compact in a portable box. The features offered on our transaction device are as follows: transaction menu, balance check menu, payment menu, and top up menu. Also, we provide a device transaction connection to the printer. Therefore, proof of transactions can be printed out easily. The device developed also provides a touch panel display to display the transaction menu.</p>

Peningkatan Kematangan Proses TI: Penilaian, Rekomendasi dan Validasi (Studi Kasus Sistem Informasi IPOS)

IPOS information system is a service delivery system (package) and letter (mail) PT Pos Indonesia. The application of the IPOS information system still found problems, the problem of human resources, bar codes that were not in accordance with the delivery receipt. So it is necessary to do an assessment of the IPOS information system, the purpose of this study is to determine the level of maturity of the system information, formulate recommendations for improvements if needed and validation recommendations. The framework used assessment is COBIT 4.1 framework, focus DS10 process (Managing Problems) and DS11 (Managing Data). The results of the assessment will be obtained maturity level, then the formulation of recommendations for increasing maturity is carried out, then validation of the recommendations proposed. Data collection techniques with observation, interviews, study of business documents, literature studies, and questionnaires. Data is processed based on COBIT framework rules 4.1. The results of the DS10 and DS11 process assessments are at Level 3 (Defined), management has been managed well but its implementation is still not maximal. Recommended improvements to DS10 and DS11 as 3 recomendation. The results of the recommendation validation are in the score 4 to 6, is capable with great effort