scholarly journals Discovery of Characteristic Patterns from Transactions with Their Classes

2012 ◽  
Vol 2012 ◽  
pp. 1-12
Author(s):  
Shigeaki Sakurai
Keyword(s):  
Machine Learning ◽  
Data Collection ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Numerical Experiments ◽  
New Method ◽  
Minimum Support ◽  
Frequency Identification ◽  
The Difference

This paper deals with transactions with their classes. The classes represent the difference of conditions in the data collection. This paper redefines two kinds of supports: characteristic support and possible support. The former one is based on specific classes assigned to specific patterns. The latter one is based on the minimum class in the classes. This paper proposes a new method that efficiently discovers patterns whose characteristic supports are larger than or equal to the predefined minimum support by using their possible supports. Also, this paper verifies the effect of the method through numerical experiments based on the data registered in the UCI machine learning repository and the RFID (radio frequency identification) data collected from two apparel shops.

Method about the Authentication Process on the Air Interface of the Tag and the Reader in the Radio Frequency Identification System

2014 ◽  
Vol 528 ◽  
pp. 359-363
Author(s):  
Dong Bo Liu ◽  
Jia Bin Hu ◽  
Chang Cheng Wu
Keyword(s):  
Information Security ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Communication Protocol ◽  
Experimental Results ◽  
New Method ◽  
Identification System ◽  
Air Interface ◽  
Information Safety ◽  
Frequency Identification

As the development radio frequency identification, main researches are mainly focused on the information safety of the air interface, the communication protocol between the tag and the reader. If the air interface is not security, the information cannot be protected, bringing a serious threat to the system security. Although the physical based method can solve this problem in a certain extent, communication safety still cannot be satisfied. Therefore, in order to improve the information safety, this paper introduces a new method about how the tag and the reader authenticate each other. Experimental results show that the proposed method can improve the information security in the authentication process between the tag and the reader on the radio frequency identification system.

RFID-BASED SYNCHRONIZATION OF INFORMATION FLOW AND MATERIAL FLOW

2008 ◽  
Vol 07 (02) ◽  
pp. 271-274
Author(s):  
HUA-LIN ZHENG ◽  
YUE-PAI WANG ◽  
XI-YUAN WAN
Keyword(s):  
Data Collection ◽  
Radio Frequency ◽  
Information Flow ◽  
Radio Frequency Identification ◽  
Material Flow ◽  
Machining Process ◽  
Collection Method ◽  
Work In Process ◽  
Frequency Identification

RFID (Radio Frequency Identification) technology is put forward as a new data collection method to bridge the gap between information flow and material flow. The data achieved by RFID can be shared by both MES and ERP simultaneously. A simulated WIP (Work In Process) machining process application case study is used in the paper to show how the synchronization is realized.

scholarly journals Pemanfaatan Radio Frequency Identification Mifare RC522 dan Arduino Sebagai Media Validasi Kehadiran Mahasiswa

Infotekmesin ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 50-56
Author(s):  
Andriansyah Zakaria ◽  
Andesita Prihantara
Keyword(s):  
Data Collection ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Human Error ◽  
Rfid Technology ◽  
Student Attendance ◽  
Activity Data ◽  
Student Data ◽  
Frequency Identification ◽  
Student Data Collection

In every academic and student activity, data collection on student meetings is always done. General student data collection activities are still carried out manually by filling in the student attendance form. Besides being able to help and correct problems in lecturing activities, the manual presentation system is not practical in centralized recording and also increases human error in recording. The technology that can be used to add to these shortcomings is Radio Frequency Identification (RFID) in the presence of students. By utilizing RFID technology to approve and MySQL as a database, it is expected that student data collection and recording can be done easily and centrally. It can be concluded from the study that each RFID card used is a unique card identity that functions as a valid marker or identity for students or lecturers in conducting attendance.

scholarly journals Banknote Validation through an Embedded RFID Chip and an NFC-Enabled Smartphone

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Mohamed Hamdy Eldefrawy ◽  
Muhammad Khurram Khan
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Rapid Growth ◽  
State Of The Art ◽  
New Method ◽  
Internet Connection ◽  
Frequency Identification ◽  
Conventional Methods ◽  
Rfid Readers

With the new, state-of-the-art printing devices and equipment, there has been rapid growth in the counterfeiting of banknotes. Traditional security features on banknotes are easy targets for counterfeiters, and they can easily imitate the original banknotes with fake ones. Conventional methods for validating currency require specialized devices for the authentication of banknotes. However, cost and lack of mobility of sophisticated banknote validation devices are big problems for general consumers. Modern digital solutions are attempting to complement the traditional security features through embedding radio frequency identification (RFID) chips in the banknotes, for example, Euro currency. Unfortunately, the requirement of specialized RFID readers for banknote validation impedes their widespread proliferation among consumers. To overcome this problem, a new method of banknote validation using an RFID chip and an NFC-enabled smartphone is presented. The consumer sends a banknote validation request to the Monetary Agency (MA) using her or his smartphone and an Internet connection. TheMAreplies by sending a random challenge to the consumer’s smartphone. The RFID chip in the banknote receives the challenge, via the NFC, and calculates an equivalent response to theMA’s challenge. If any of the messages are incorrect, authentication is denied. By the proposed method, consumers can easily and instantly check the originality of currency notes with theMAusing their smartphones and an Internet connection. The proposed system is less expensive, computationally, than regular methods and preserves the privacy of people who carry banknotes.

scholarly journals Integrating Machine Learning, Radio Frequency Identification, and Consignment Policy for Reducing Unreliability in Smart Supply Chain Management

Processes ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 247
Author(s):  
Suman Kalyan Sardar ◽  
Biswajit Sarkar ◽  
Byunghoon Kim
Keyword(s):  
Machine Learning ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Optimization Technique ◽  
Chain Management ◽  
Demand Information ◽  
Frequency Identification ◽  
Smart Supply Chain Management

Adopting smart technologies for supply chain management leads to higher profits. The manufacturer and retailer are two supply chain players, where the retailer is unreliable and may not send accurate demand information to the manufacturer. As an advanced smart technology, Radio Frequency Identification (RFID) is implemented to track and trace each product’s movement on a real-time basis in the inventory. It takes this supply chain to a smart supply chain management. This research proposes a Machine Learning (ML) approach for on-demand forecasting under smart supply chain management. Using Long-Short-Term Memory (LSTM), the demand is forecasted to obtain the exact demand information to reduce the overstock or understock situation. A measurement for the environmental effect is also incorporated with the model. A consignment policy is applied where the manufacturer controls the inventory, and the retailer gets a fixed fee along with a commission for selling each product. The manufacturer installs RFID technology at the retailer’s place. Two mathematical models are solved using a classical optimization technique. The results from those two models show that the ML-RFID model gives a higher profit than the existing traditional system.

Sign in / Sign up

Export Citation Format

Share Document