Smart Trolley for Shopping Using RFID

Now a day world is in a digital era. In most of the fields like medical, education , business also in day-to-day life we use technology. one of the examples of digital technology that we are presenting in this paper is smart trolley using RFID. In old days we use normal trolley for shopping but in earlier digital world the smart trolley is best method to do shopping as it avoids standing in long queue whereas in smart trolley system there is facility to payment where we can scan product code that adds or remove the amount of product and at last that gives us total bill regarding our shopping.

Minimal State-Space Representation of Convolutional Product Codes

In this paper, we study product convolutional codes described by state-space representations. In particular, we investigate how to derive state-space representations of the product code from the horizontal and vertical convolutional codes. We present a systematic procedure to build such representation with minimal dimension, i.e., reachable and observable.

Problematic aspects of the examination of mushroom processing products for customs purposes

The article examines the problematic aspects of the examination of mushroom processing products that customs officials encounter during customs control of the reliability of the declared product code according to the Commodity Nomenclature of Foreign Economic Activity of the Eurasian Economic Union.

Product Codefication Accuracy With Cosine Similarity And Weighted Term Frequency And Inverse Document Frequency (TF-IDF)

In the SiPaGa application, the codefication search process is still inaccurate, so OPD often make mistakes in choosing goods codes. So we need Cosine Similarity and TF-IDF methods that can improve the accuracy of the search. Cosine Similarity is a method for calculating similarity by using keywords from the code of goods. Term Frequency and Inverse Document (TFIDF) is a way to give weight to a one-word relationship (term). The purpose of this research is to improve the accuracy of the search for goods codification. Codification of goods processed in this study were 14,417 data sourced from the Goods and Price Planning Information System (SiPaGa) application database. The search keywords were processed using the Cosine Similarity method to see the similarities and using TF-IDF to calculate the weighting. This research produces the calculation of cosine similarity and TF-IDF weighting and is expected to be applied to the SiPaGa application so that the search process on the SiPaGa application is more accurate than before. By using the cosine sismilarity algorithm and TF-IDF, it is hoped that it can improve the accuracy of the search for product codification. So that OPD can choose the product code as desired

Matrix-Product Codes over Commutative Rings and Constructions Arising from σ , δ -Codes

A well-known lower bound (over finite fields and some special finite commutative rings) on the Hamming distance of a matrix-product code (MPC) is shown to remain valid over any commutative ring R . A sufficient condition is given, as well, for such a bound to be sharp. It is also shown that an MPC is free when its input codes are all free, in which case a generator matrix is given. If R is finite, a sufficient condition is provided for the dual of an MPC to be an MPC, a generator matrix for such a dual is given, and characterizations of LCD, self-dual, and self-orthogonal MPCs are presented. Finally, the results of this paper are used along with previous results of the authors to construct novel MPCs arising from σ , δ -codes. Some properties of such constructions are also studied.

A Parallel Transmission Scheme Based on the Turbo Product Code for Through Silicon via Array in Three-Dimensional Integrated Circuits

Through silicon via (TSV) is the key technology for the vertical interconnect in three-dimensional integrated circuits (3-D ICs). With the help of TSVs, higher throughput in signal transmission can be attained. However, the tightly clustered TSVs in the TSV array suffer from crosstalk noise, a situation which results in transmission errors. This study investigates, the channel model of the TSV array, involving main factors affecting transmission performance, such as transmission loss, inter-channel interference, and crosstalk noise with different digital patterns. A parallel transmission scheme based on a turbo product code (TPC) parallel coding is proposed. In this scheme, the binary bits of information are reshaped into two dimensional blocks. Each block is parallel encoded using a TPC into a codeword block for parallel transmission through the TSV array channel. At the receiver, the sending information is reformed by a concurrent hard decision decoding algorithm of a TPC. This parallel transmission scheme achieves low bit-error-rate, high throughput, and a lower system overhead relative to that of its ground TSV shielded counterpart if the type of TPC is carefully selected. The simulation results confirm that this scheme reduces inter-symbol interference, minimizes structural defects in the TSV array, and improves transmission performance in 3-D ICs.