We investigate the traceability of positive integral operators on L2(X, m) when X is a Hausdor locally compact second countable space and m is a non-degenerate, s-finite and locally finite Borel measure. This setting includes other cases proved in the literature, for instance the one in which X is a compact metric space and m is a special finite measure. The results apply to spheres, tori and other relevant subsets of the usual space Rm.

Radio Frequency Identification (RFID) applications have spread all over the world. In order to provide their security and privacy, researchers proposed different kinds of protocols. In this paper, we analyze the privacy of a new protocol, proposed by Yu-Jehn in 2015 which is based on Electronic Product Code Class1 Generation 2 (EPC C1 G2) standard. By applying the Ouafi-Phan privacy model, we show that the Yu-Jehn protocol is vulnerable to secret parameter reveal attack, traceability attacks, forward traceability attack and it also does not provide the privacy of RFID users. To enhance the privacy of the analyzed protocol, an improved version of the protocol is proposed which eliminates the existing weaknesses of Yu-Jehn protocol.

The traceability system minimizes unsafe and low-quality food products during production, processing, and distribution stages. To implement a traceability system, it is crucial to understand the drivers that enable traceability in the food supply chain. This study aims to analyze the drivers for implementing traceability capability in the food supply chain. The research method is applied in terms of purpose and survey-based in terms of data collection. The statistical sample consists of 20 food industry experts. Based on literature review and screening, 11 drivers for establishing a food traceability system were identified. A pairwise comparison questionnaire using interpretive structural modeling (ISM) was employed by the experts. To analyze the collected data, ISM was utilized to prioritize the drivers for implementing traceability capability in the food supply chain, resulting in a nine-level prioritization. In the structural model, the adoption of Industry 4.0 was identified as an influential driver, while market support and competitive advantage were highly influenced drivers. The MICMAC matrix was used to analyze the interrelationships between the drivers. Subsequently, the structural equation modeling (SEM) method using Smart PLS 3.0 software was employed to fit the obtained structure. A questionnaire containing 33 Likert scale questions was designed and completed by 170 food industry employees. The validity and reliability of the questionnaire, as well as the model fit, were confirmed. The results of this study can serve as a guideline for the sustainable implementation of the traceability system in the country's food industries.