scholarly journals A Review on Counterfeit Detection of Products and Electronic Devices

Author(s):  
Aasawari Tayade

The problem of using unauthorized parts, components or products is widespread all around the world. These problems eventually cause a huge loss to the brands. To reduce such malpractices, brands are working on to find out a solution to overcome counterfeit. Counterfeit is basically a non-genuine or a non-brand product. The counterfeit device carries false information and can mislead us claiming about its good performance. The device infringes the intellectual property rights of the registered owner. We need to ensure that the equipment is manufactured and developed according to the requirements. Procurement team members need to establish and maintain robust obtainment processes to minimize the risk of buying non-submissive and counterfeit devices parts and find out a solution that detects the counterfeit parts. RFID tags and readers, DNA and PUF technologies, Cryptography techniques, labeling barcodes can provide a solution to counterfeit product detection problem. This paper compares the parameters and performance criteria of some of the detection techniques.

2022 ◽  
Vol 2022 ◽  
pp. 1-28
Author(s):  
Senthil Kumaran Selvaraj ◽  
Aditya Raj ◽  
R. Rishikesh Mahadevan ◽  
Utkarsh Chadha ◽  
Velmurugan Paramasivam

One of the most suitable methods for the mass production of complicated shapes is injection molding due to its superior production rate and quality. The key to producing higher quality products in injection molding is proper injection speed, pressure, and mold design. Conventional methods relying on the operator’s expertise and defect detection techniques are ineffective in reducing defects. Hence, there is a need for more close control over these operating parameters using various machine learning techniques. Neural networks have considerable applications in the injection molding process consisting of optimization, prediction, identification, classification, controlling, modeling, and monitoring, particularly in manufacturing. In recent research, many critical issues in applying machine learning and neural network in injection molding in practical have been addressed. Some problems include data division, collection, and preprocessing steps, such as considering the inputs, networks, and outputs, algorithms used, models utilized for testing and training, and performance criteria set during validation and verification. This review briefly explains working on machine learning and artificial neural network and optimizing injection molding in industries.


2020 ◽  
Vol 4 (4(13)) ◽  
pp. 51-60
Author(s):  
Ksenia Olegovna NEVMERZHITSKAYA ◽  

The media influence politics by providing intelligence and arena for political statements. Therefore, the danger of spreading false information and deliberate disinformation can have serious consequences. It is impossible to accuse specific media outlets of unfair coverage, but one cannot fail to note the existing resonance in media reports from different countries. Interpretations of the same events are radically different, while a journalist must rely on facts. The world is faced with the problem of global misunderstanding and information discord. Modern international broadcasting plays an important role in shaping the picture of the event for the world community. It is impossible to deny that the information agenda of many foreign broadcast media depends to some extent on a number of reasons: nationality, foreign policy of his state, profitability. Otherwise, the global media would not contradict each other. We want to track how modern foreign broadcasting builds its agenda and what principles it is guided by. Keywords: Broadcasting, media, Media agenda


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