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To realize full benefits without sacrificing the practicality of such projects, the decision-making process for residential building construction needs to include sustainability principles at every level. Therefore, this paper aims to investigate the applicability of radio frequency identification (RFID) and identify the barriers that impede its successful adoption in construction projects to achieve sustainability.

This paper opted for a quantitative approach by using a structured questionnaire survey. A total of 107 responses were collected from Nigerian construction practitioners involved in private and public construction businesses.

The results showed the high cost of RFID implementation, with a mean score of 4.42 as the top-ranked barrier, followed by lack of security, maintenance, power availability and inadequate training. This study further deployed Ginni’s mean difference measure of dispersion and revealed that the stationary barrier to adopting RFID technology is the lack of demand.

The findings of this research can assist decision-makers in improving the sustainability of all building projects by implementing RFID.

The findings of this study will serve as the basis for comprehension and critically evaluate the numerous barriers preventing the widespread adoption of RFID technology.

The purpose of this paper is to address the use of passive RFID technology for the development of an autonomous surveillance robot. Passive RFID tags can be used for labelling both valued objects and goal‐positions that the robot has to reach in order to inspect the surroundings. In addition, the robot can use RFID tags for navigational purposes, such as to keep track of its pose in the environment. Automatic tag position estimation is, therefore, a fundamental task in this context.

The paper proposes a supervised fuzzy inference system to learn the RFID sensor model; Then the obtained model is used by the tag localization algorithm. Each tag position is estimated as the most likely among a set of candidate locations.

The paper proves the feasibility of RFID technology in a mobile robotics context. The development of a RFID sensor model is first required in order to provide a functional relationship between the spatial attitude of the device and its responses. Then, the RFID device provided with this model can be successfully integrated in mobile robotics applications such as navigation, mapping and surveillance, just to mention a few.

The paper presents a novel approach to RFID sensor modelling using adaptive neuro‐fuzzy inference. The model uses both Received Signal Strength Indication (RSSI) and tag detection event in order to achieve better accuracy. In addition, a method for global tag localization is proposed. Experimental results prove the robustness and reliability of the proposed approach.

The purpose of this paper is to explain how the author had carried out the implementation of the radio-frequency identification (RFID) system at Central Library, Fakiragram College and to explain to the library professional on how to integrate RFID with Koha integrated library management system (ILMS) in their respective library without taking IT/technical experts assistance. This paper will encourage library professionals to implement RFID technology for the library security and embrace open source software in their institutions.

The paper describes the author’s practical experiences regarding implementation of the RFID system and integration of middleware RFID software with library management software.

From the present study, it was found that the library staff are having a positive attitude toward embracing RFID technology in their library. The present implementation of RFID technology in the studies area gives a clear picture about integrating a third-party software/tool like RFID to the existing systems and how the new system has helped the library to provide better service to their users

There were some teething problems at the start between the Koha ILMS SIP2 software and the RFID system. The main issue faced while integration was with setting up the hostname, integrating the instance (i.e. database) and with setting up the port.

This paper will help librarians to implement RFID technology in a practical way to their libraries. The author implemented Koha ILMS with RFID system at the Central Library, Fakiragram College within 1 month and the author migrated data from common communication format (CCF) format to MARC 21 formats. CCF is basically used in SOUL 2.0 developed by INFLIBNET.

This study discusses issues and possible solutions in the process of implementing RFID applications for two innovative applications in library services. This will influence library professionals to learn Koha ILMS and RFID technology implement it in their libraries.

This article seeks to examine the use of radio frequency identification (RFID) technology in commercial applications and to discuss whether regulation is needed to balance commercial economic interests versus consumer privacy and libertarian concerns.

This paper covers discussions and comparative studies of others' work and thinking.

RFID technology provides enormous economic benefits for both business and consumers, while simultaneously potentially constituting one of the most invasive surveillance technologies threatening consumer privacy.

The use of RFID technology has profound consumer privacy, civil liberty and security implications.

RFID technology is at an embryonic stage. Like many new technologies, it poses both potential benefit and harm to society. The article recommends that legislation is needed to tip the balance enough to provide adequate privacy protection without unduly harming economic efficiency.

With the new generation Industry 4.0 coming, as well as globalization and outsourcing, products are fabricated by different parties in the distributed manufacturing network and enterprises face the challenge of consistent planning of semi-finished product in each manufacturing process in different geographical locations. The purpose of this paper is to propose a real-time operation planning system in the distributed manufacturing network to intelligently control/plan the manufacturing networks.

The feature of the proposed system is to model and simulate large distributed manufacturing networks to streamline the mechanical and production engineering processes with radio frequency identification (RFID) technology, which can keep track of process variants. To deal with concurrency and synchronization, the hierarchical timed colored Petri net (HTCPN) formalism for modeling is selected in this study. This method can help to model graphically and test the discrete events of concurrent operations. Fuzzy inference system can help for knowledge representation, so as to provide knowledge-based decision assistance in distributed manufacturing environment.

In this proposed system, there are two main sub-systems: one is the real-time modeling system, and the other one is intelligent operation planning system. These two systems are not parallel in the whole systems while the intelligent operation planning system should be embedded in any stage of the real-time modeling system as needed. That means real time modeling system provides the holistic structure of the studied distributed manufacturing system and realize real-time data transfer and information exchange. At the same time the embedded intelligent operation planning system fulfill operation plan function.

This new intelligent real-time operation system realizes real-time modeling with RFID-based HTCPN and smart fuzzy engine to fulfill intelligent operation planning which is highly desirable in the environment of Industry 4.0. The new intelligent manufacturing architecture will highly reduce the traditional planning workload and improve the planning results without manual error interference. The new system has been applied in a practical case to demonstrate its feasibility.

In the past decade, radio frequency identification devices (RFIDs) have attracted the attention of the construction industry, having been proven to be an effective technology for addressing operational challenges in other industries such as health-care, retail and manufacturing. Despite the benefits, the use of RFID in construction industry is limited even in the face of inefficiencies that exist and that the need for improvement is yet to drive the widespread adoption in the residential/commercial construction industry. The purpose of this study is to investigate key drivers and critical success factors for RFID adoption.

The study included extensive and systematic literature review, interviews and questionnaire survey.

The study revealed that the most important key driver for RFID adoption is productivity improvement, while the most important critical success factors include management support and commitment, having clear RFID strategy, needs and benefits, having strong motivation for improvement, providing adequate funding and proper planning.

This study provides an exploratory framework that can be used by construction company executives and managers to provide justification for deciding to implement RFID on their projects and to enhance success rates of implementation.

This study contributes to the knowledge on RFID use in residential/commercial construction industry and provides a basis for further investigation by construction management researchers on the emerging issues regarding RFID use in the construction industry.

This paper suggested a model for sensing security at the cloud computing environment using the cognitive radio (CR) system. The proposed sensing security technique at the cloud situation enables the authors to estimate the distance of the IT equipment by means of the perceived information, namely the value of interfering temperature from the spectrum sensing. The paper aims to discuss these issues.

In this paper, how IT devices can communicate within the current frequency is studied. Based on this, techniques for CR cloud network system of the sensing security are proposed.

Based on the information of this value of distance, the user of the electric wave cognition could maintain security up to the maximum level within the range beyond intervention influence, deciding the maximum transmission of electricity which is available.

The proposed technique in this paper may lead the user perceiving the electric wave to select the adapted modulation level by considering the transmitted electricity and the interference temperature level of the given channel situation.

The Internet of Things (IoT) envisions a global infrastructure of networked physical objects that render radical transparency to supply chain management. Despite the perceived advantages of IoT, industry has still not widely adopted IoT-enabled logistics and supply chain management. The purpose of this paper is to understand the incentives and concerns behind firms’ decisions to adopt IoT, explore the determinant factors affecting IoT adoption in logistics and supply chain management.

This study uses mixed methods research to explore the determinants of IoT adoption intention in logistics and supply chain management. Qualitative analysis using the Grounded Theory methodology reveals the underlying perceptions regarding logistic innovation with IoT. Quantitative hypotheses are then developed based on qualitative investigation and adoption literature. Survey data were collected from the managerial staff of Taiwanese firms across various industries. Structural equation modeling with partial least square is used for data analysis.

The results of the qualitative study identify uncertainties and issues regarding firms’ intention to accept or reject IoT technology in logistics and supply chain management, including the benefit and cost aspects of adopting IoT, uncertainties about the trustworthiness of IoT technology, and the external motivating force to embrace IoT. The resulting quantitative model shows that perceived benefits, perceived costs, and external pressure are significant determinants of IoT adoption intention, while technology trust is not. However, technology trust does indirectly influence IoT adoption intention through perceived benefits.

The empirical findings of this study provide some guidelines for logistics and supply chain managers to evaluate IoT adoption in their firms. Likewise, IoT solution providers can also benefit from this study by improving their solutions to mitigate the IoT adoption concerns addressed herein.

This paper is among the first known to examine IoT adoption intention in logistics and supply chain management using mixed methods research. The mixed methods approach offers a better insight in understanding incentives behind firms’ decisions to adopt IoT vs the use of either a qualitative or quantitative method alone.

The purpose of this paper is to identify the relationship between the frequency of publication on food supply chain (FSC) traceability and the occurrence of foodborne diseases outbreaks.

A systematic review of the literature was carried out to locate the main articles published in the literature, followed by a content analysis in order to list the main food traceability technologies and their evolutions. Finally, a Spearman’s ρ correlation analysis between the frequency of publications on FSC traceability and the annual occurrence of foodborne outbreaks in the five largest food exporting countries in the world was performed.

In these analyses, the tools of radiofrequency, deoxyribonucleic acid, wireless sensor network, hazard analysis and critical control points and Internet of Things are the most researched technologies, and they are relevant in the evolution of traceability in the FSC. With correlation coefficients above 0.700 at 0.01 significance levels, this evolution of food traceability technologies has been one of the factors reducing the number of food outbreaks in the USA and Germany, countries with greater development of the health system and food control.

This paper provides an evaluation of the food traceability technologies and the effects of their evolutions in the occurrence of food outbreaks. This may help in the proposal of public policies related to food and outbreak control.