Toward a Mixed Tangle-Blockchain Architecture

2020 ◽  
Author(s):  
Motaz Ben Hassine ◽  
Mourad Kmimech ◽  
Hussein Hellani ◽  
Layth Sliman
Keyword(s):  
Poisson Distribution ◽  
Scale Up ◽  
Mathematical Foundation ◽  
Validation Process ◽  
Acyclic Graph ◽  
Direct Acyclic Graph ◽  
Industrial Enterprises ◽  
Design And Implementation ◽  
Transaction Fees ◽  
Industrial Context

This paper presents the design and implementation of a new platform that takes into consideration the requirements and constraints resulting from the industrial context based on IoT. This platform combines the “Tangle” and “Blockchain” techniques. Tangle is primarily designed to address scale-up issues and the relatively high cost (time and resource) of transactions in a traditional blockchain-based platform. Unlike the “blockchain” structure, it consists of a solid mathematical foundation called DAG (Direct Acyclic Graph). It uses a validation process in which transactions are entered into the distributed registry after authenticating two other randomly selected transactions according to a Poisson distribution (thus, the locations of the new transactions are chosen using random runs in the graph). Therefore, it is an easily scalable system that does not require mining or transaction fees. We aim to study the integration of Tangle and Blockchain techniques to improve the performance and scalability of distributed registry-based platforms to be adapted in industrial enterprises whose processes incorporate or are based on IoT.

scholarly journals Antecedents to Digital Platform Usage in Industry 4.0 by Established Manufacturers

2019 ◽  
Vol 11 (4) ◽  
pp. 1121 ◽  
Author(s):  
Julian Marius Müller
Keyword(s):  
Industry 4.0 ◽  
Economies Of Scope ◽  
Future Research ◽  
Research Approach ◽  
Digital Platforms ◽  
Industrial Enterprises ◽  
Qualitative Empirical Research ◽  
Industrial Sectors ◽  
Industry Sectors ◽  
Industrial Context

Digital platforms are expected to have the potential for a multitude of purposes forindustrial enterprises, for instance when integrated within the concept of Industry 4.0. Despite itsrelevance for industrial value creation, little research on platforms in the industrial context hasbeen undertaken so far. Owing to the lack of research in this field, the paper aims to investigate thepotentials and challenges of digital platforms in order to generate an understanding of theantecedents to the use of digital platforms by established manufacturers. In thequalitative-exploratory study, the paper uses a qualitative empirical research approach, relying onin-depth expert interviews. The sample comprises interviews with managers of 102 German andAustrian industrial enterprises from several industrial sectors. All of the enterprises regarded havepractical experiences with digital platforms. The results show that the main potentials of digitalplatforms are reducing transaction costs, combining strengths of enterprises, and realizingeconomies of scale as well as economies of scope. Yet, digital platforms bring challenges, such as alack of trust, competitive thinking, high coordination efforts, and loss of confidential information.The paper further distinguishes between various industry sectors revealing interesting differences.Based on the results, the paper indicates possibilities for future research and provides corporatepractice with implications.

scholarly journals An Iterative Process for Training Design and Implementation Increased Health Workers’ Knowledge for Taking Nutrition Behavior Change to Scale

2019 ◽  
Vol 149 (Supplement_1) ◽  
pp. 2323S-2331S ◽  
Author(s):  
Wendy Gonzalez ◽  
Anabelle Bonvecchio Arenas ◽  
Armando García-Guerra ◽  
Mireya Vilar-Compte ◽  
Alejandría Villa de la Vega ◽  
...  
Keyword(s):  
Young Child ◽  
Feasibility Study ◽  
Iterative Process ◽  
Health Workers ◽  
Scale Up ◽  
Training Design ◽  
Child Feeding ◽  
Young Child Feeding ◽  
Design And Implementation ◽  
Infant And Young Child

ABSTRACTBackgroundThe shortage of skilled, motivated, and well-supported health workers is a major barrier to scaling up nutrition interventions and services.ObjectiveThe objective of this study is to describe the process for developing and implementing a training of health personnel for the delivery of the Integrated Strategy for Attention to Nutrition (EsIAN), an evidence-based strategy for promoting infant and young child feeding through primary health care in Mexico. The specific objective is to provide a case study and highlight challenges, as well as elements to successfully mitigate these, and discuss potential applications of findings beyond the Mexican context.MethodsThe design and implementation of training followed a 5-phase process: situation analysis, formative research, large-scale feasibility study, redesign and scale up, and evaluation. We conducted document reviews, surveys, and focus groups during the first phases to inform and refine the training, as well as a pre- and posttraining telephone survey to evaluate change in knowledge.ResultsThe initial phases of the design provided a clear understanding of the opportunities and challenges for promoting infant and young child feeding, as well as health workers’ routines and practices, which informed training design. The feasibility study allowed tailoring and refinement of training. The vertical coherence and coordination between the federal and state levels during redesign and scale up facilitated compliance with training timeline and process. Evaluation results showed significant improvement in knowledge posttraining of up to 19 percentage points.ConclusionsThe EsIAN training component for health providers was developed using a systematic approach to consolidate and generate relevant evidence, following an iterative process to test, learn, and improve both design and implementation. This process allowed for flexibility to take advantage of new opportunities and respond to findings from iterations. Garnering and ensuring political support allowed for continuity and sustainability of actions.

scholarly journals Project management in the conditions of digital transformation of Kazakhstan

2021 ◽  
pp. 229-234
Author(s):  
A. B. Sembin
Keyword(s):  
Project Management ◽  
Industry 4.0 ◽  
Scale Up ◽  
Digital Transformation ◽  
Digital Data ◽  
Data Management System ◽  
Innovative Technologies ◽  
Management Platform ◽  
Industrial Enterprises ◽  
The Government

This article highlights project management issues in the context of Kazakhstan’s digital transformation. The global crisis is forcing the government and industrial companies to be selective in defining priorities and support successful projects that have already shown results in practice. Based on research by experts from the Higher School of Economics, UNESCO and Accenture, following key areas have been identified for digital transformation: building a digital data management system, global relevance of research in digitalization, as well as the separation between industry and science in the transition to advanced innovative technologies. Kazakhstani industrial enterprises are experiencing a turning point in the implementation of advanced innovative technologies and R&D results. For industrial enterprises, the implementation of innovative projects is similar to R&D based on several factors: 1) the solution has to be assessed in terms of applicability; 2) it is usually implemented for the first time; 3) revision is necessary, taking into account the business needs, legislation, labor protection fire safety, ecology, etc. To scale up and leverage lessons learnt from successful projects, the Autonomous Cluster Fund has created a new tool – the Smart Industry Management Platform (SIMP). The SIMP platform is the result of 5 years of fruitful cooperation with industrial enterprises. Currently, one of the main priorities of the Autonomous Cluster Fund is to focus on developing the local Industry 4.0 ecosystem by helping industrial enterprises to accelerate their digital transformation. Using the platform approach in order to implement Industry 4.0 components in Kazakhstan will allow to develop new points of growth of the national economy, and ensure the integration of Kazakhstani companies into global value chains in the medium term.

Retiming DAGs [direct acyclic graph]

1998 ◽  
Vol 17 (12) ◽  
pp. 1319-1325 ◽  
Author(s):  
P.Y. Calland ◽  
A. Mignotte ◽  
O. Peyran ◽  
Y. Robert ◽  
F. Vivien
Keyword(s):  
Acyclic Graph ◽  
Direct Acyclic Graph

scholarly journals Direct Acyclic Graph-Based Ledger for Internet of Things: Performance and Security Analysis

2020 ◽  
Vol 28 (4) ◽  
pp. 1643-1656 ◽  
Author(s):  
Yixin Li ◽  
Bin Cao ◽  
Mugen Peng ◽  
Long Zhang ◽  
Lei Zhang ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Security Analysis ◽  
Acyclic Graph ◽  
Direct Acyclic Graph

Leaf Recognition for Plant Classification Using Direct Acyclic Graph Based Multi-Class Least Squares Twin Support Vector Machine

2016 ◽  
Vol 16 (03) ◽  
pp. 1650012 ◽  
Author(s):  
Divya Tomar ◽  
Sonali Agarwal
Keyword(s):  
Support Vector Machine ◽  
Least Squares ◽  
Plant Species ◽  
Recognition System ◽  
Twin Support Vector Machine ◽  
Support Vector ◽  
Individual Plant ◽  
Species Classification ◽  
Acyclic Graph ◽  
Direct Acyclic Graph

As most of the plant species are at the risk of extinction, the task of plant identification has become a challenging process and an active area of research. In this paper, we propose a leaf recognition system for plant species classification using leaf image data through a novel direct acyclic graph based multi-class least squares twin support vector machine (DAG-MLSTSVM) classifier. Hybrid feature selection (HFS) approach is used to obtain the best discriminant features for the recognition of individual plant species. Leaves are recognized on the basis of shape and texture features. The experimental results indicate that the proposed DAG-MLSTSVM based plant leaf recognition system is highly accurate and having faster processing speed as compared to artificial neural network and direct acyclic graph based support vector machine.

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