A Web Application for Supply Chain Traceability

2013 ◽  
pp. 125-144 ◽  
Author(s):  
Ioannis Manikas
Keyword(s):  
Supply Chain ◽  
Web Application ◽  
Electronic Mail ◽  
The Internet ◽  
Point Of Sale ◽  
Food Traceability ◽  
Traceability System ◽  
Central Database ◽  
User Friendly ◽  
Web Platform

The efficiency of a traceability system depends on the ability to identify uniquely each unit that is produced and distributed in a way that enables the continuous tracking from the primary production to the retail point of sale. An efficient traceability system must follow some rules that define which data must be gathered and stored in each stage of the supply chain. This is achieved by standardization of the gathered data and typification of the messages that enable storing and communication of the data. This chapter presents a Web-platform that will be able to support efficiently food traceability by monitoring and administering the data gathered and recorded in a central database. This application will be user friendly and provide the ability to keep, display, and communicate information through widely implemented technologies, such as the Internet and electronic mail services.

scholarly journals Research on a Traceability Scheme for a Grain Supply Chain

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
MiaoLei Deng ◽  
Pan Feng
Keyword(s):  
Supply Chain ◽  
Information Flow ◽  
Meat Products ◽  
Food Traceability ◽  
Traceability System ◽  
System A ◽  
Grain Flow ◽  
Import And Export ◽  
And Performance ◽  
Present Algorithm

The frequent occurrence of food safety accidents and the globalization of food import and export circulation make it very important to establish a food traceability system. Due to the bulk and low-value characteristics of grain, it is difficult to achieve traceability in a single unit like meat products; as grain has a longer supply chain, involving much more links and even more complicated factors, it is easy to cause information disconnection. In response to the above problems, this paper has done the following tasks: First, propose a RFID-based grain supply chain traceability model, which mainly describes the information flow and grain flow in the grain traceability system, and secondly, in combination with the GTIN coding standard in the GS1 system, a stage traceability code is set for each batch of grains at each link, providing a method for uniquely identifying the batch of grains at that link, to improve the accuracy of grain traceability. In addition, in order to enable consumers to inquire all the detailed information of the grain in the supply chain through a traceability code, the PRESENT algorithm and the format-preserving algorithm are used to encrypt the traceability codes of each link and generate a final traceability code. Finally, a security and performance analysis of the proposed traceability scheme was carried out. The results show that the proposed scheme is safe and effective, ensuring the safety and traceability of the traceability system of the grain supply chain.

scholarly journals RaDMaX online: a web-based program for the determination of strain and damage profiles in irradiated crystals using X-ray diffraction

2020 ◽  
Vol 53 (2) ◽  
pp. 587-593
Author(s):  
A. Boulle ◽  
V. Mergnac
Keyword(s):  
Web Application ◽  
The Internet ◽  
Programming Environment ◽  
X Ray Diffraction ◽  
Web Browser ◽  
Web Based ◽  
X Ray ◽  
Depth Profiles ◽  
User Friendly

RaDMaX online is a major update to the previously published RaDMaX (radiation damage in materials analysed with X-ray diffraction) software [Souilah, Boulle & Debelle (2016). J. Appl. Cryst. 49, 311–316]. This program features a user-friendly interface that allows retrieval of strain and disorder depth profiles in irradiated crystals from the simulation of X-ray diffraction data recorded in symmetrical θ/2θ mode. As compared with its predecessor, RaDMaX online has been entirely rewritten in order to be able to run within a simple web browser, therefore avoiding the necessity to install any programming environment on the users' computers. The RaDMaX online web application is written in Python and developed within a Jupyter notebook implementing graphical widgets and interactive plots. RaDMaX online is free and open source and can be accessed on the internet at https://aboulle.github.io/RaDMaX-online/.

scholarly journals IOT based Advanced Medicine Dispenser Integrated with an Interactive Web Application

2018 ◽  
Vol 7 (4.10) ◽  
pp. 46
Author(s):  
Nanda Kishor Panda ◽  
Shubham Bhardwaj ◽  
H. Bharadwaj ◽  
Rohil Singhvi
Keyword(s):  
Machine Learning ◽  
Web Application ◽  
The Internet ◽  
Human Machine Interaction ◽  
Everyday Objects ◽  
Front End ◽  
Healthcare Monitoring ◽  
User Friendly ◽  
Machine Interaction ◽  
Interactive User

Internet of Things (IOT) is a development of the internet which plays a  major role in integrating human-machine interaction by allowing everyday objects to send and receive data in a variety of applications. Using IOT in healthcare monitoring provides an avenue for doctors and patients to interact and to track the dosage of medication administered. The paper presents an interactive, user friendly network integrated with an automated medicine dispenser which uses IOT, cloud computing and machine learning. The network was built on a python tornado framework with a front end developed using materialise CSS. The feasibility of this approach was validated by building a prototype and conducting a survey.  

scholarly journals A Credible Food Traceability System Based on Domain Name System Security Extensions

2018 ◽  
Vol 14 (04) ◽  
pp. 111 ◽  
Author(s):  
Yi Liu ◽  
Sha Liu ◽  
Junyu Wang ◽  
Kan Qian ◽  
Yiwei Shi ◽  
...  
Keyword(s):  
Supply Chain ◽  
Food Safety ◽  
Internet Of Things ◽  
Information Service ◽  
System Security ◽  
Data Integrity ◽  
Domain Name System ◽  
Domain Name ◽  
Food Traceability ◽  
Traceability System

Food safety has drawn worldwide attention because of its enormous impact on human health and social stability. Although traceability systems based on Internet of Things (IoT) can improve the visibility of the food supply chain, the trust service is necessary to ensure the data origin and data integrity. This paper proposes a food traceability system supported by a trust service based on Domain Name System Security Extensions(DNSSEC). A DNSSEC-enabled traceability system is implemented for food safety in China. In the traceability system, the master data and event data of the products is stored in distributed databases owned and managed by the enterprises respectively in the supply chain. Enterprise oriented Internet of Things Information Service (iotIS) is an important component of the distributed traceability system. A trust service for the Internet of Things, iotTS, is proposed to guarantee the data integrity. With this service, it can be ensured that the information stored in the enterprise database is original and has never been manipulated. Lightweight public keys are distributed based on the DNSSEC in this solution. Compared with the existing solutions, the proposed solution has better scalability and credibility.

scholarly journals A USER-FRIENDLY REMOTE-SENSING WEB-PLATFORM FOR BIODIVERSITY CONSERVATION AND MANAGEMENT IN PROTECTED AREAS

2020 ◽  
Vol XLII-3/W12-2020 ◽  
pp. 441-446
Author(s):  
R. O. Chávez ◽  
J. A. Lastra ◽  
D. Valencia ◽  
I. Díaz-Hormazábal
Keyword(s):  
Remote Sensing ◽  
Protected Areas ◽  
Confidence Intervals ◽  
Web Application ◽  
Vegetation Index ◽  
R Package ◽  
Severe Drought ◽  
User Friendly ◽  
Web Platform ◽  
Conservation And Management

Abstract. The Chilean SNASPE is a complex network of 104 protected areas covering 18.5 million hectares of continental and insular Chile in South America. The geographical complexity and high biodiversity of the SNASPE make difficult to develop a unified monitoring system for conservation and management. In this contribution, we introduce a novel and remote-sensing web-platform for monitoring SNASPE units based completely in open acces data and software. The platform was designed in close cooperation with the Chilean forest service CONAF in order to make it applicable to the whole SNASPE. Following the framework of the Group on Earth Observation - Biodiversity Observation Network (GEO-BON), we used the Essential Biodiversity Variable (EBV) Phenology and MODIS Enhanced Vegetation Index (EVI) data to detect in near-real-time anomalies from the normal annual phenological cycle of vegetation. The platform is based on a flexible non-parametric probabilistic algorithm (the “npphen” R package) capable to reconstruct any type of leaf phenology and to quantify its inter-annual variation by means of confidence intervals around the most probable annual curve. Phenological anomalies are then calculated as a deviation from the expected annual cycle and judged based on their location within the confidence intervals. Anomalies located above 95% confidence interval trigger a “red alert” which is displayed on the web application as soon as the MODIS data become available. This user-friendly platform was implemented in the La Campana National Park giving early alerts of a severe drought in 2019, warning Conaf to implement actions to protect the park from potential wild fires.

scholarly journals A Procedure for Tracing Supply Chains for Perishable Food Based on Blockchain, Machine Learning and Fuzzy Logic

Electronics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 41
Author(s):  
Zeinab Shahbazi ◽  
Yung-Cheol Byun
Keyword(s):  
Machine Learning ◽  
Fuzzy Logic ◽  
Supply Chain ◽  
Shelf Life ◽  
Manufacturing Systems ◽  
Learning Technology ◽  
Food Manufacturing ◽  
Food Traceability ◽  
Traceability System ◽  
Blockchain Technology

One of the essential points of food manufacturing in the industry and shelf life of the products is to improve the food traceability system. In recent years, the food traceability mechanism has become one of the emerging blockchain applications in order to improve the anti-counterfeiting area’s quality. Many food manufacturing systems have a low level of readability, scalability, and data accuracy. Similarly, this process is complicated in the supply chain and needs a lot of time for processing. The blockchain system creates a new ontology in the traceability system supply chain to deal with these issues. In this paper, a blockchain machine learning-based food traceability system (BMLFTS) is proposed in order to combine the new extension in blockchain, Machine Learning technology (ML), and fuzzy logic traceability system that is based on the shelf life management system for manipulating perishable food. The blockchain technology in the proposed system has been developed in order to address light-weight, evaporation, warehouse transactions, or shipping time. The blockchain data flow is designed to show the extension of ML at the level of food traceability. Finally, reliable and accurate data are used in a supply chain to improve shelf life.

scholarly journals Multimethodological Framework in the Development of Traceability Systems for Food Supply Chains

2021 ◽  
Vol 5 (1) ◽  
pp. 41-50
Author(s):  
Ivan Gunawan
Keyword(s):  
Supply Chain ◽  
Vegetable Oil ◽  
Value Chain ◽  
Food Supply ◽  
Research Question ◽  
Oil Industry ◽  
Food Supply Chain ◽  
Interpretive Structural Modeling ◽  
Food Traceability ◽  
Traceability System

Food traceability has an important role in maintaining the sustainability of the food supply chain. Every player in a food supply chain must be able to create an internal and external traceability so that the chain traceability can be formed. However, building a suitable food traceability system is not an easy task. The development of a food traceability system has been identified as a complex problem due to the difficulty of accommodating the varied characteristics of each stage in the food supply chain and the interdependence between stages in the food supply chain. Therefore, to solve these complex problems a multimethodology approach is proposed. The multimethodology approach is believed to be able to solve complex multidimensional problems. This article describes a framework for multimethodology in the development of a food traceability system that involves the integration of the Decision Making Trial and Evaluation Laboratory and Interpretive Structural Modeling (DEMATEL-ISM) and System Dynamics (SD). The vegetable oil industry which manages its products in bulk is an interesting case study for the development of a food traceability system because the upstream is in the commodity focused chain and the downstream is in the consumer driven value chain. Ultimately, the multi-methodological framework proved effective in answering the research question of "How to develop a suitable traceability system for the bulk vegetable oil industry?"

scholarly journals A Framework for Web Application Vulnerability Detection

2020 ◽  
Vol 9 (3) ◽  
pp. 543-549
Keyword(s):  
Web Application ◽  
Human Life ◽  
Dynamic Change ◽  
The Internet ◽  
Detection Mechanism ◽  
Server Side ◽  
Digital World ◽  
Mechanism Research ◽  
User Friendly ◽  
Client Side

Hardly a facet of human life is not influenced by the Internet due to the continuous proliferation in the Internet facilities, usage, speed, user friendly browsing, global access, etc. At flip side, hackers are also attacking this digital world with new tactics and techniques through exploiting the web application vulnerabilities. The analysis of these vulnerabilities is of paramount importance in direction to secure social digital world. It can be carried out in two ways. First, manual analysis which is error prone due to the human nature of forgiveness, dynamic change in technology and fraudulence attack techniques. Second, through the existing web application vulnerability scanners that sometime may suffer from generating false alarm rate. Hence, there is a need to develop a framework that can detect different levels of vulnerabilities, ranging from client side vulnerabilities, communication side vulnerabilities to server side vulnerabilities. This paper has carried out the literature survey in direction of identifying the new attack vectors, vulnerabilities, detection mechanism, research gaps and new working areas in same field. Continuous improvement in framework is easy. Hence, a framework is proposed to overcome the identified research gap

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