Data privacy compliance benefits for organisations - a cyber-physical systems and Internet of Things study

The protection of people’s privacy is both a legal requirement and a key factor for doing business in many jurisdictions. Organisations thus have a legal obligation to get their privacy compliance in order as a matter of business importance. This applies not only to organisations’ day-to-day business operations, but also to the information technology systems they use, develop or deploy. However, privacy compliance, like any other legal compliance requirements, is often seen as an extra burden that is both unnecessary and costly. Such a view of compliance can result in negative consequences and lost opportunities for organisations. This paper seeks to position data privacy compliance as a value proposition for organisations by focusing on the benefits that can be derived from data privacy compliance as it applies to a particular subset of information technology systems, namely cyber-physical systems and Internet of Things technologies. A baseline list of data privacy compliance benefits, contextualised for CPSs and IoT with the South African legal landscape is proposed.http://www.springer.comseries/7899hj2021Informatic

Defining and assessing industry 4.0 maturity levels–case of the defence sector

© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. Firms do not currently fully appreciate the complex characteristics of Industry 4.0 and as a result are uncertain about what it represents for them. In this study, an assessment model is developed to measure the level of implementation of Industry 4.0 technologies, around three dimensions: ‘Factory of the Future’, ‘People and Culture’, and ‘Strategy’. The ‘Factory of the Future’ is the main dimension and is composed of eight attributes: Additive Manufacturing, Cloud, Manufacturing Execution System, Internet of Things and Cyber Physical Systems, Big Data, Sensors, e-Value Chains, and Autonomous Robots. The study uses a defence manufacturing firm to develop, test and validate the model and report on 12 partners. We concluded that the focal firm has an Industry 4.0 maturity level of 59.35, above the sector average of 55.58. This research contributes by empirically developing a model and providing an analysis of major firms in the Defence supply network

MYC-containing amplicons in acute myeloid leukemia: genomic structures, evolution, and transcriptional consequences.

Double minutes (dmin), homogeneously staining regions, and ring chromosomes are vehicles of gene amplification in cancer. The underlying mechanism leading to their formation as well as their structure and function in acute myeloid leukemia (AML) remain mysterious. We combined a range of high-resolution genomic methods to investigate the architecture and expression pattern of amplicons involving chromosome band 8q24 in 23 cases of AML (AML-amp). This revealed that different MYC-dmin architectures can coexist within the same leukemic cell population, indicating a step-wise evolution rather than a single event origin, such as through chromothripsis. This was supported also by the analysis of the chromothripsis criteria, that poorly matched the model in our samples. Furthermore, we found that dmin could evolve toward ring chromosomes stabilized by neocentromeres. Surprisingly, amplified genes (mainly PVT1) frequently participated in fusion transcripts lacking a corresponding DNA template. We also detected a significant overexpression of the circular RNA of PVT1 (circPVT1) in AML-amp cases versus AML with a normal karyotype. Our results show that 8q24 amplicons in AML are surprisingly plastic DNA structures with an unexpected association to novel fusion transcripts and circular RNAs

An approach of development smart manufacturing metrology model as support industry 4.0

The framework for smart manufacturing metrology model (S3M), are based on integration of digital product metrology information through metrological identification, application artificial intelligence techniques and generation of global/local inspection plan for coordinate measuring machine (CMM). S3M has an extremely expressed requirement for better control, monitoring and data mining. Limitations still exist in data storages, networks and computers, as well as in the tools for complex data analysis, detection of its structure and retrieval of useful information. This paper will present recent results of our research on building of S3M as support Industry 4.0. Presented approach to S3M development includes four levels: (i) mathematical model of the measuring sensor path, which establishes a connection between the coordinate systems; (ii) generating the needed set of information to integrate the given tolerances and geometry of the parts by applying an ontological knowledge base; (iii) the application of AI techniques such as ACO and GA to optimize the measurement path, numbers of measuring part setup and configuration of the measuring probes; (iv) simulation of measurement path for a collision check. After simulation of the measurement path and visual checks of collisions, the path sequences are generated in the control data list for appropriate CMM. The experiment was successfully carried out on the examples of prismatic part and two turbine blades or its free-form measuring surfaces

Cyber-physical manufacturing in context of industry 4.0 model

The Cyber Manufacturing Systems (CMSs) are based on integration of the Cyber Physical Systems (CPSs) and connection between Internet of Things (IoTs) and Cloud technology (CT). These are high-level methodologies for development of new generation factories, which are more intelligent, flexible and self-adaptable. CMSs generates Big Data, horizontally by integration (network of machines, processes and sensors) and vertically by control (usually defined over five levels) which should be analytically processed and managed by the Cyber-Physical Manufacturing (CPM) or CPS. In this way, two functional entities, real and virtual, are established, through which: (a) the advanced connectivity that ensures real-time data acquisition from the physical world and information feedback from the cyber space; and (b) intelligent data management, analytics and computational capability that constructs the cyber space. Industry 4.0 is Program initiated by German Government and industry as a new model of automatization of manufacturing technologies. CPM is the key element of Industry 4.0. In this paper, a detailed analysis of the current level of development of the Industry 4.0 model has been made in EU and globe, with a special place and role of CPM in current model. A brief overview of the Industry 4.0 concept in Serbia is given as well