Item Tracking Research Articles

Factors affecting the adoption of blockchain technologies in the food supply chain

With the rise in food insecurity, one of the United Nation’s Sustainable Development Goals is to end hunger, achieve food security, and promote sustainable agriculture. This can be achieved through the strengthening and development of existing food systems. Integrating emerging technologies such as blockchain technology can help develop sustainable food systems. Blockchain technology allows the tracking and tracing of food items as they move through the supply chain. Blockchain technology also allows for low transactional costs at almost instantaneous applications. There is however a low adoption rate of blockchain technology amongst organisations in the food supply chain. The objective of the study was to explore factors that affect the adoption of blockchain technology in the food supply chain. The study adopted a quantitative research method that was guided by the technology, organisation, and environment Framework (TOE) to explore factors affecting blockchain technology adoption in the food supply chain. A systematic literature review was used for the study. Quantitative content analysis was used to analyse peer-reviewed articles. Results showed that TOE factors affect the adoption of blockchain technology in the food supply chain. Factors such as cost, scalability, firm size, and IT policy were noted as important factors affecting the adoption of blockchain technology in the food supply chain. The study contributes to the body of knowledge on factors that affect the adoption of blockchain technology in the food supply chain.

Smart Inventory Management System Using RFID Technology

The Smart Inventory Management System using RFID technology is a cutting-edge solution designed to streamline inventory processes, enhance accuracy, and improve operational efficiency. By integrating RFID (Radio Frequency Identification) technology, the system enables real-time tracking and management of inventory items, eliminating the need for manual data entry and reducing human errors. The system leverages RFID tags and readers to automate inventory identification, monitoring, and auditing. Key features include instant stock updates, reduced operational costs, enhanced security, and improved decision-making through data analytics. This innovative approach is particularly beneficial for industries such as retail, logistics, and manufacturing, where efficient inventory management is critical. The implementation of this system demonstrates the potential of RFID technology in revolutionizing inventory management practices and achieving greater productivity.

Smart Trolley System Using OpenCV

The shopping atmosphere of the malls and commercial places nowadays is confronted by problems such as long queues at checkout counters and inefficiencies in tracking purchased items. This paper introduces the “Smart Trolley System using OpenCV,” a frontier of computer vision and the IOT present in a retail. Through a unique configuration of the web cameras and IoT devices, it is now possible to track shoppers via colour bands, rejuvenating inventory management and curtailing checkout queues. This system revamps the shopping experience with a new approach of offering convenience and saving time in the crowded malls. It deals with the important issues of checkout queues, manual item tracking, limited automation, exit management, and real-time data integration. The study analyses various technologies such as pre-trained neural networks, Arduino, Xbee, and barcode scanners, and RFID technology to improve the shopping experience and customer satisfaction.

Research on Optimization of Visual Object Tracking Algorithm Based on Deep Learning

The appearance of deep gaining knowledge has extensively advanced the sphere of visible item tracking, permitting greater robust and accurate monitoring of items throughout complex scenes. This study optimises a visual item tracking set of rules based on the Siamese region inspiration network (Siamese RPN) monitoring algorithm, aiming to beautify its efficiency and effectiveness in actual-time packages. The Siamese RPN algorithm, acknowledged for its stability among accuracy and velocity because of its architecture that mixes the Siamese network for characteristic extraction with a vicinity suggestion community for item localisation, provides a promising basis for improvement. This examination introduces numerous optimisations to the authentic Siamese RPN framework. First, we endorse an improved feature extraction model that leverages a more efficient deep neural community structure, lowering computational load while preserving excessive accuracy. 2nd, we optimise the place concept mechanism by incorporating an adaptive anchor scaling method that dynamically adjusts the scale and ratio of anchors based on the object’s scale variations, enhancing the tracking accuracy across distinctive object sizes and aspect ratios. Moreover, we introduce a unique training method that employs an aggregate of actual global and synthetically generated statistics to beautify the robustness of the monitoring algorithm towards various demanding situations, including occlusions, speedy moves, and illumination adjustments. The effectiveness of the proposed optimizations is evaluated through complete experiments on numerous benchmark datasets, consisting of OTB, VOT, and LaSOT, demonstrating extensive upgrades in tracking accuracy and speed as compared to the authentic Siamese RPN algorithm and different modern-day tracking techniques. The outcomes of this study no longer underscore the potential of optimised Siamese RPN algorithms in visible item monitoring but additionally lay the basis for future explorations into actual-time, green, and strong tracking systems. Those improvements keep great promise for a wide variety of packages, from surveillance and protection to autonomous cars and augmented truth structures, where particular and dependable item monitoring is paramount.

Blockchain Technology for tracking and tracing containers: model and conception

The maritime industry has increasingly integrated advanced technologies such as AI, Blockchain, Big Data, and IoT, transforming traditional port operations into smart facilities aimed at enhancing global trade competitiveness. A particular focus has been on improving tracking and tracing services, with Blockchain technology emerging as pivotal for ensuring data integrity, transparency, and traceability across supply chains. This article proposes a blockchain-based tracking and tracing system model tailored for monitoring containers in Moroccan ports. Utilizing the Unified Modeling Language (UML), the model seeks to optimize resource allocation and boost stakeholder satisfaction through detailed diagrams and functional data requirements depiction. Despite challenges such as IoT terminal platform connectivity and operator resitance, successful implementation was achieved, establishing a foundational framework for a comprehensive container monitoring system. This model provides valuable insights for supply chain professionals and scholars interested in item tracking, aiming to integrate Blockchain with technologies like RFID, GPS, RTLS, QR Codes, BLE, and IoT sensors to enhance port operation efficiency and container management effectiveness. By leveraging these integrated technologies, ports can further improve operational efficiency and ensure accurate traceability of containers throughout the supply chain, contributing to overall trade facilitation and economic growth..

Stationery Management System

The Stationery Management System is a comprehensive software solution designed to streamline and automate the processes involved in managing stationery inventory for organizations. This system aims to improve efficiency, reduce costs, and enhance overall productivity by providing a centralized platform to track, control, and replenish stationery supplies. The system offers a user-friendly interface that allows authorized personnel, such as office administrators or procurement managers, to manage all aspects of stationery inventory effectively. It provides the following key features: Inventory Management: The system maintains a comprehensive database of stationery items, including details such as item name, description, quantity, and unit price. It allows users to easily add new items, update existing ones, and track stock levels in real-time. Purchase and Requisition: Users can generate purchase orders or requisitions directly from the system, ensuring a streamlined procurement process. The system can also integrate with external vendors or suppliers to automate order placement and tracking. Stock Monitoring: The system provides real-time visibility into the current stock levels of stationery items. Users can set up automated alerts to notify them when stock levels fall below a predefined threshold, ensuring timely reordering and preventing stock outs. Issue and Return Tracking: The system facilitates the tracking of stationery items issued to employees or departments. It enables users to record item issuances, monitor their usage, and manage returns efficiently. This feature helps prevent misuse and ensures accountability. Reporting and Analytics: The system generates comprehensive reports and analytics, offering valuable insights into stationery usage, expenditure, and inventory trends. These reports assist in making data-driven decisions, optimizing procurement processes, and identifying cost-saving opportunities. Integration and Accessibility: The system can integrate with other existing systems within the organization, such as accounting or Enterprise Resource Planning (ERP) software, to ensure seamless data flow and minimize manual data entry. It also provides accessibility across multiple devices, enabling users to manage stationery inventory remotely. Overall, the Stationery Management System provides organizations with a centralized and efficient solution to manage their stationery inventory effectively. By automating key processes and providing real-time visibility, the system optimizes procurement, reduces waste, and enhances productivity, leading to cost savings and improved operational efficiency.

Application of Passive RFID Technology

Passive Internet of Things (IoT) is an emerging IoT technology that enables communication and data exchange between items through various sensors and devices. Sensor nodes do not require built-in batteries or other energy supply devices, but instead use external signals for operation. Radio Frequency Identification (RFID) technology is a simple and low-cost solution for the passive Internet of Things, suitable for scenarios that require simple tracking and monitoring of items. The sensor devices in this technology can be used for a long time interregional operation reduces maintenance costs and improves work efficiency. Therefore, it is a promising technology that can bring tremendous changes to various industries. In recent years, this technology has been widely applied in many fields, including logistics and supply chain management, industrial automation, intelligent agriculture, and health monitoring. This article elaborates on the practical application of the latest passive RFID technology, providing reference for more application scenarios in the future.

Pembuatan Aplikasi Persediaan Barang Berbasis Web Pada PT. Bayan Resources Tbk

This research aims to design and implement a web-based Goods Inventory Information System at PT Bayan Resources Tbk. The company faces challenges in inventory management, such as stock uncertainty, variations in order cycle time, and operational efficiency levels that need to be improved. Waterfall method is used as a framework for system development, with stages of requirement analysis, design, implementation, testing, and maintenance. The system is designed to improve operational efficiency through integration of inventory data, order management, and item tracking. The result is a web-based application with features such as a secure login page, informative dashboard, master data management, efficient input of incoming and outgoing goods, and careful user control. With the implementation of dark mode, the system gives users the flexibility to customize the display according to their preferences. Users can easily access, track, and analyze inventory data, supporting faster and more accurate decision-making for the company.

Smart Shopping Cart Using RFID

Abstract: Optimizing the shopping experience is essential for both customers and businesses in the dynamic world of retail. This research study offers a revolutionary solution called the "Smart Shopping Cart," which uses Radio-Frequency Identification (RFID) technology to speed up the shopping experience. This ground-breaking solution promises to boost shopping cart functionality, enhance inventory control, and provide customers with a smooth purchasing experience. The Smart Shopping Cart makes use of an integrated RFID reader system and RFID tags that are attached to each product. It enables automatic item tracking, doing away with the requirement for human checkout scanning. This technologically advanced method cuts down on consumers' wait times at the register and minimizes pricing and item recognition mistakes, enhancing their entire shopping experience. Moreover, the system incorporates real-time inventory management features, enabling retailers to monitor product stock levels efficiently. This results in reduced out-of-stock occurrences and optimized supply chain operations, benefiting both retailers and consumers. Additionally, the Smart Shopping Cart can provide personalized shopping recommendations and promotions, enhancing customer engagement and loyalty. This research paper examines the Smart Shopping Cart's technical implementation, RFID integration, data processing, and security. It analyzes potential benefits, environmental impact, and ethical concerns, focusing on efficiency, reduced operational costs, and customer satisfaction. In conclusion, the Smart Shopping Cart, which makes use of RFID technology, presents a solution that has the potential to change the way people shop currently, to the advantage of both customers and businesses. This innovation offers a tremendous chance for shops looking to stay competitive in the digital age to increase productivity, cut costs, and provide a better shopping experience. This study gives helpful advice for the effective implementation of RFID-based Smart Shopping Carts in the retail sector as well as insights into their potential.

Localization in WSN based on Area of field and mobility : A Survey

Abstract— Localization in Wireless Sensor Networks (WSNs) is process to determine the locations of sensors connected within a network. Several applications need to determine the location of sensor nodes in the network to help increasing network performance. Some applications, such as item tracking, military operations, routing protocols, robotics, and inventory management, are made feasible by sensor network’s ability to accurately locate the sensor nodes. For each of these applications, different criteria for position estimation. These are speed, accuracy, and reliability. In this paper we going to classify the localization algorithms with a new perspective based on three criteria (area of fields, cooperation between nodes and node’s mobility). Following along this paper may give’s an idea to the researchers to develop efficient algorithms to localize nodes with accuracy adapting to different techniques with respect to the geographic area and anchor type to be designed

Dual-stimuli responsive photonic barcodes based on perovskite quantum dots encapsulated in whispering-gallery-mode microspheres

Micro/nanoscale photonic barcodes hold great potential for broad applications in items tracking, multiplexed bioassays and anti-counterfeiting. The ever-increasing demand in advanced anti-counterfeiting applications calls for micro/nanoscale barcodes with accurate recognition, large encoding capacity and high security level. Here, we proposed a strategy to construct the dual-stimuli responsive photonic barcodes based on the perovskite quantum dots (PQDs) doped polymer whispering-gallery-mode (WGM) microcavities via swelling-deswelling method. Benefiting from the well-defined spherical microcavities, the photoluminescence (PL) spectra of as-prepared composites exhibit a series of sharp peaks characteristics resulting from the effective WGM modulation, which constitutes the fingerprint of a specific resonator and thus allows a definition of photonic barcodes. On this basis, we achieved responsive photonic barcodes based on the volatile polar-solvent-controlled luminescence in the microspheres benefitting from the space-confined microcavities and the ionic feature of the PQDs. Moreover, the light-controlled photonic barcodes have further been acquired through reversibly regulating the inactivation and activation of the energy transfer (ET) process between the PQDs and photochromic dyes. The well-established protocols of PQDs@WGM enable the development of distinct responsive barcodes with multi-responsive features, which will pave an avenue to new types of flexible WGM-based components for optical data recording and security labels.

Improved Linear ADRC for Hybrid Energy Storage Microgrid Output-Side Converter

As an effective application form for large-scale and efficient use of distributed power, microgrid not only realizes the flexible control of distributed power but also provides reliable power supply for the load. However, the power quality on the load side will be severely deteriorated when the microgrid is disturbed. To cope with this issue, an improve linear active disturbance rejection control (LADRC) technique is proposed in this article. In this technology, the idea of series correction is introduced into the disturbance observation channel of linear extended state observer. This strategy can achieve more accurate tracking of disturbance items through the correction link, and handle the unknown modeling error and external disturbances of the system as an overall disturbance through a single structure. Then, according to the linear feedback law to achieve good control of the output-side converter. Moreover, the traceability, convergence, and stability of ILADRC are analyzed. More importantly, guidance on parameters configuration is given on the basis of performance analysis. Finally, the validity of the proposed improved LADRC technique is verified on a 40-kW experiment platform.

Analisis Sistem Informasi Order dan Tracking Barang Menggunakan Metode Prototyping pada CV. Untung Maju Bersama

Entering an increasingly advanced era, the role of information technology is very important in various sectors. Currently, many business people have used information technology as a system in an agency or company. CV. Untung Maju Bersama is a company engaged in the sale of snacks and basic necessities. In its journey, the system used is still using a manual system. To maximize the sales system, therefore an analysis of the sales system design was made using the prototyping method to help improve the existing system. The system used on this website has three users, namely admin, sales, and delivery who have different access rights and have different tasks according to their respective job descriptions. In the analysis of this information system design, a prototyping method is used where the design made must be in accordance with the system to be built. Several features will be added in this proposed design system which did not exist in the previous system, namely the addition of an item tracking feature. This feature allows customers to see how far their orders have been processed. It is hoped that the design of this system can help CV. Untung Maju Bersama in maximizing sales and data management. 
 Keywords: information systems, order systems, tracking systems, prototyping

Learnings from COVID-19 for managing humanitarian supply chains: systematic literature review and future research directions.

The COVID-19 pandemic has been experienced as the most significant global disaster after the Spanish flue in 1918. Millions of people lost their life due to a lack of preparedness and ineffective strategies for managing humanitarian supply chains (HSC). Based on the learnings from this pandemic outbreak, different strategies for managing the effective HSC have been explored in the present context of pandemics through a systematic literature review. The findings highlight some of the major challenges faced during the COVID-19 pandemic, such as lack of planning and preparedness, extended shortages of essential lifesaving items, inadequate lab capacity, lack of transparency and visibility, inefficient distribution network, high response time, dependencies on single sourcing for the medical equipment and medicines, lack of the right information on time, and lack of awareness about the protocol for the treatment of the viral disease. Some of the significant learnings observed from this analysis are the use of multiple sourcing of essential items, joint procurement, improving collaboration among all stakeholders, applications of IoT and blockchain technologies for improving tracking and traceability of essential commodities, application of data analytics tools for accurate prediction of next possible COVID wave/disruptions and optimization of distribution network. Limited studies are focused on finding solutions to these problems in managing HSC. Therefore, as a future scope, researchers could find solutions to optimizing the distribution network in context to pandemics, improving tracing and tracking of items during sudden demand, improving trust and collaborations among different agencies involved in HSC.

Analisis Perbandingan Kualitas Pelayanan Pada PT. Pos Indonesia Dan J&T Express Di Tenggarong

Abstract:
 
 The purpose of this study was to compare the quality of service at PT Pos Indonesia and J&T Express in Tenggarong. The problem in this research is the reality that occurs in expedition services and at PT Pos Indonesia and J&T Express in Tenggarong related to consumer complaints such as delivery of goods not on time, checking through the item tracking feature sometimes errors, lost goods during delivery, goods have physical defects when arrive at the destination, the response to consumer complaints is not well served, and so on.This study uses quantitative data obtained from questionnaire data. The number of research samples as many as 100 people using purposive sampling method. The analysis tool uses the Mann Whitney U test.Based on the results of the study indicate that there are differences in service quality at PT Pos Indonesia and J&T Express in Tenggarong. This is evidenced from the results of calculations using SPSS, the Asym Sig value on the tangible dimension is 0.000, Asymp Sig on the empathy dimension is 0.013, Asymp Sig on the responsiveness dimension is 0.001, Asymp Sig on the reliability dimension is 0.013 and Asymp Sig on the guarantee 0.000. This shows that all dimensions have Asymp sig < 0.05, so the hypothesis which states "that there is a difference in service quality between PT Pos Indonesia and J&T Express in Tenggarong" is accepted because it is proven to be true.
 
 Keywords: Service Quality, Tangible, Empathy, Responsiveness, Reliability, Assurance

Flower shaped frequency coded chipless RFID tag for low cost item tracking

Flower shaped frequency coded chipless RFID tag for low cost item tracking

An IoT-Based Participatory Antitheft System for Public Safety Enhancement in Smart Cities

The risk of theft of goods is certainly an important source of negative influence in human psychology. This article focuses on the development of a scheme that, despite its low cost, acts as a smart antitheft system that achieves small property detection. Specifically, an Internet of Things (IoT)-based participatory platform was developed in order to allow asset-tracking tasks to be crowd-sourced to a community. Stolen objects are traced by using a prototype Bluetooth Low Energy (BLE)-based system, which sends signals, thus becoming a beacon. Once such an item (e.g., a bicycle) is stolen, the owner informs the authorities, which, in turn, broadcast an alert signal to activate the BLE sensor. To trace the asset with the antitheft tag, participants use their GPS-enabled smart phones to scan BLE tags through a specific smartphone client application and report the location of the asset to an operation center so that owners can locate their assets. A stolen item tracking simulator was created to support and optimize the aforementioned tracking process and to produce the best possible outcome, evaluating the impact of different parameters and strategies regarding the selection of how many and which users to activate when searching for a stolen item within a given area.

Business process mining from e-commerce event web logs: Conformance checking and bottleneck identification

A range of advanced methods have been formulated and utilized in the efforts of improving the business processes in many enterprises. One impacting enhancement technique is to employ process mining algorithms as modeling and analysis tools in order to provide the actual business performance by digging the event log data and finding the useful information. This paper focuses on the applications of process mining in e-commerce industry. Event log data with timestamps were retrieved and analyzed from the web databases of an e-commerce company and process mining algorithms, like inductive miner and fuzzy miner were executed for generating the actual e-commerce business processes automatically and checking their conformance with the standardized processes as well as to early detecting any bottlenecks and issues in the e-commerce processes. Several e-commerce process issues were considered, such as item procurement, product order and delivery item tracking. The process mining modeling and its statistical results indicate that process mining can provide an efficient and effective tool for modeling and analyzing the e-commerce business processes allowing for real-time process auditing and reengineering.

Advances in the Design Techniques and Applications of Chipless RFIDs

The recent emergence of Radio Frequency Identification (RFID) applications have attracted the attention of all the stakeholders, namely developers, manufacturers, and end-users. In essence, RFID has permeated the broad spectrum of item tracking, identification, and sensing. Alternatively, it is safe to say that RFID has revolutionized item tracking, sensing, and monitoring mechanisms. However, RFID's proliferation often faces a roadblock due to its associated cost due to silicon-based integrated circuits. This aspect can be addressed by the emerging design techniques and performance enhancement approach adopted for the realization of Chipless RFIDs. This has catapulted the Chipless RFIDs at the forefront in recent years. The chipless RFID tag uses electromagnetic properties to store the information and eliminate memory chips. It is anticipated that the usage of Chipless RFIDs will increase by leaps and bounds in the coming years. Therefore, this paper discusses some of the critical applications that can be directly served by Chipless RFIDs. This paper also elaborates on the associated constraints which limit the mass deployment of the Chipless RFIDs. Furthermore, this paper throws some light on some of the exciting research directions for future development.

Creating an Affordable, User-Friendly Electronic Inventory System for Lab Samples.

Sharing physical laboratory space optimizes resource use among research departments, improves collaboration, and reduces costs. Universal inventory management is essential to successful space sharing, item tracking and availability, and data mining; therefore, our lab was interested in a tool for these purposes. Different research groups have differing needs, priorities, and considerations. We investigated prebuilt inventory management programs, and we found a custom Microsoft (MS) Access reference database to be optimal. We designed a custom MS Access abstract inventory data model around previously established needs with information gathered in staff interviews and meetings. We performed a physical inventory of all cryopreserved samples to allow uniform data entry when migrating to the database. We created manuals and protocols, and the staff was trained on entering data. Using a universal inventory system allows for quick report generation of physical inventory, which in turn preserves sample quality by reducing redundancy as well as time locating vials. Users can run queries to report a wide range of sample characteristics. Storage information can be easily analyzed for statistically significant trends, samples have reliable traceability, and data are auditable for accuracy.