Extraction and Analysis of Spatial Correlation Micrograph Features for Traceability in Manufacturing

Author(s):  
Adam Dachowicz ◽  
Mikhail Atallah ◽  
Jitesh H. Panchal

Abstract We propose a method for ensuring traceability of metal goods in an efficient and secure manner that leverages data obtained from micrographs of a part’s surface that is instance-specific (i.e., different for another instance of that same part). All stakeholders in modern supply chains face a growing need to ensure quality and trust in the goods they produce. Complex supply chains open many opportunities for counterfeiters, saboteurs, or other attackers to infiltrate supply networks, and existing methods for preventing such attacks can be costly, invasive, and ineffective. The proposed method extracts discriminatory-yet-robust intrinsic strings using features extracted from two-point autocorrelation data of surface microstructures. Using a synthetic dataset of three-phase micrographs similar to those obtained from metal alloy systems using low-cost optical microscopy techniques, we discuss the optimization of the method with respect to cost and security, and discuss the performance of the method in the context of anti-counterfeiting. Cryptographic extensions of this methodology are also discussed.

Author(s):  
Adam Dachowicz ◽  
Mikhail Atallah ◽  
Jitesh H. Panchal

Abstract We propose a method for ensuring traceability of metal goods in an efficient and secure manner that leverages data obtained from micrographs of a part’s surface that is instance specific (i.e., different for another instance of that same part). All stakeholders in modern supply chains face a growing need to ensure quality and trust in the goods they produce. Complex supply chains open many opportunities for counterfeiters, saboteurs, or other attackers to infiltrate supply networks, and existing methods for preventing such attacks can be costly, invasive, and ineffective. The proposed method extracts discriminatory-yet-robust intrinsic strings using features extracted from the two-point autocorrelation data of surface microstructures, as well as from local volume fraction data. By using a synthetic dataset of three-phase micrographs similar to those obtained from metal alloy systems using low-cost optical microscopy techniques, we discuss tailoring the method with respect to cost and security and discuss the performance of the method in the context of anticounterfeiting and how similar methods may be evaluated for performance. Cryptographic extensions of this methodology are also discussed.


2009 ◽  
pp. 152-153
Author(s):  
Rana Tassabehji ◽  
James Wallace ◽  
Anastasios Tsoularis

The Internet has reached a stage of maturity where its innovative adoption and implementation can be a source of competitive advantage. Supply chains are one of the areas that has reportedly benefited greatly, achieving optimisation through low cost, high efficiency use of the Internet, almost seamlessly linking global supply chains into e-supply networks. This field is still in its academic and practical infancy, and there is a need for more empirical research to build a robust theoretical foundation, which advances our knowledge and understanding. Here, the main aims and objectives are to highlight the importance of information flows in e-supply chains/networks, and the need for their standardisation to facilitate integration, legality, security, and efficiency of operations. This chapter contributes to the field by recommending a three-stage framework enabling this process through the development of standardised Internet technology platforms (e-platforms), integration requirements and classification of information flows.


Author(s):  
Rana Tassabehji ◽  
James Wallace ◽  
Anastasios Tsoularis

The Internet has reached a stage of maturity where its innovative adoption and implementation can be a source of competitive advantage. Supply chains are one of the areas that has reportedly benefited greatly, achieving optimisation through low cost, high efficiency use of the Internet, almost seamlessly linking global supply chains into e-supply networks. This field is still in its academic and practical infancy, and there is a need for more empirical research to build a robust theoretical foundation, which advances our knowledge and understanding. Here, the main aims and objectives are to highlight the importance of information flows in e-supply chains/networks, and the need for their standardisation to facilitate integration, legality, security, and efficiency of operations. This chapter contributes to the field by recommending a three-stage framework enabling this process through the development of standardised Internet technology platforms (e-platforms), integration requirements and classification of information flows.


Author(s):  
Karan S Belsare ◽  
Gajanan D Patil

A low cost and reliable protection scheme has been designed for a three phase induction motor against unbalance voltages, under voltage, over voltage, short circuit and overheating protection. Taking the cost factor into consideration the design has been proposed using microcontroller Atmega32, MOSFETs, relays, small CTs and PTs. However the sensitivity of the protection scheme has been not compromised. The design has been tested online in the laboratory for small motors and the same can be implemented for larger motors by replacing the i-v converters and relays of suitable ratings.


Author(s):  
José Luis Viramontes-Reyna ◽  
Josafat Moreno-Silva ◽  
José Guadalupe Montelongo-Sierra ◽  
Erasmo Velazquez-Leyva

This document presents the results obtained from the application of the law of Lens to correctly identify the polarity of the windings in a three-phase motor with 6 exposed terminals, when the corresponding labeling is not in any situation; Prior to identifying the polarity, it should be considered to have the pairs of the three windings located. For the polarity, it is proposed to feed with a voltage of 12 Vrms to one of the windings, which are identified randomly as W1 and W2, where W1 is connected to the voltage phase of 12 Vrms of the signal and W2 to the voltage reference to 0V; by means of voltage induction and considering the law of Lens, the remaining 4 terminals can be identified and labeled as V1, V2, U1 and U2. For this process a microcontroller and control elements with low cost are used.


Author(s):  
Luo Xiaohui

This paper proposed a low cost wireless monitoring system based on ZigBee wireless transmission, and designed a new floating voltage sensor which is suitable for the monitoring of medium voltage and high voltage(MV/HV) public equipment. The system used TI-CC2530 as the controller, proposed a new moving average voltage sensing(MAVS) algorithm by reasonable assumptions, and adopted algorithms to perform the theoretical analysis for the single phase and three-phase voltage. At last, the author carried out a practical experiment on the wireless floating voltage sensor under the voltage up to 30kV, the experimental results showed that the proposed low cost wireless sensor can achieve a good voltage monitoring function, and the error is less than 3%.


2017 ◽  
Vol 114 (38) ◽  
pp. E7891-E7899 ◽  
Author(s):  
Timothy M. Smith ◽  
Andrew L. Goodkind ◽  
Taegon Kim ◽  
Rylie E. O. Pelton ◽  
Kyo Suh ◽  
...  

Corn production, and its associated inputs, is a relatively large source of greenhouse gas emissions and uses significant amounts of water and land, thus contributing to climate change, fossil fuel depletion, local air pollutants, and local water scarcity. As large consumers of this corn, corporations in the ethanol and animal protein industries are increasingly assessing and reporting sustainability impacts across their supply chains to identify, prioritize, and communicate sustainability risks and opportunities material to their operations. In doing so, many have discovered that the direct impacts of their owned operations are dwarfed by those upstream in the supply chain, requiring transparency and knowledge about environmental impacts along the supply chains. Life cycle assessments (LCAs) have been used to identify hotspots of environmental impacts at national levels, yet these provide little subnational information necessary for guiding firms’ specific supply networks. In this paper, our Food System Supply-Chain Sustainability (FoodS3) model connects spatial, firm-specific demand of corn purchasers with upstream corn production in the United States through a cost minimization transport model. This provides a means to link county-level corn production in the United States to firm-specific demand locations associated with downstream processing facilities. Our model substantially improves current LCA assessment efforts that are confined to broad national or state level impacts. In drilling down to subnational levels of environmental impacts that occur over heterogeneous areas and aggregating these landscape impacts by specific supply networks, targeted opportunities for improvements to the sustainability performance of supply chains are identified.


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