Related Products - White Papers

IIEEE SA 3D Body Processing Industry Connections--Summary and Recommended Actions for Communications, Security, Privacy, and Trust (CSPT) [IEEE P3141] (PDF)
3D scanning is a process that captures the three-dimensional attributes of an object and includes surface texture and spectral content. 3D scanners have become a critical tool for shortening product development and manufacturing time. The ongoing technological advancements in terms of portability, scanning range, and image quality have opened new application areas for 3D scanning. However, 3D scanning appears to be primarily dependent on users. Innovation in technology and application software, as well as growing and diverse connectivity, are leading 3D scanners to become a more integral element in the overall value chain. This notwithstanding, interoperability, data security and privacy, quality, portability, and trustworthiness are opportunities to be realized. The intent of this white paper is to highlight areas of opportunity for standard development organizations, specifically the IEEE P3141 Working Group, to focus on and further enable broad market use for the various sectors and users. Download (PDF)

IEEE 802 Nendica Report: Intelligent Lossless Data Center Networks (PDF)
The scope of this report is the exploration of networking technologies to support the requirements of modern data center networks that include support for high performance computing and artificial intelligence applications. Solutions to address challenges created by evolving requirements and new age technologies are proposed. Standardization considerations are identified. Download (PDF)

A Landscape for the Development of Dependable Machines (PDF)
This white paper, developed in the framework of the IEEE P2851 standardization project, describes a landscape of activities to be performed to address the dependability of intelligent machines during their development and usage in the field.

In this context, the landscape is intended as the definition of the entirety of the activities that are executed within the autonomous machine dependability lifecycle. Dependability here is intended as the property of an autonomous machine to perform reliably, safely, securely, in a time-deterministic manner, etc. Download (PDF)

IEEE SA 3D Body Processing Industry Connections - Comprehensive Review of Foot Measurements Terminology in Use (PDF)
Digital foot measurements are typically obtained from foot scanners or digital measuring software providers and they are consumed (or used) by footwear brands, orthotic workshops, size recommendation platforms, or even directly by footwear and orthotics users. IEEE SA Industry Connections (IC) 3D Body Processing (3DBP) Footwear Subgroup recommends that each digital foot measurement provider make measurement definitions publicly available for foot measurement data consumers. Foot scanning companies are providing measuring software that follow different definitions. This is particularly problematic in the case of key references, such as the foot axis. Many measurements are dependent upon the definition of the foot axis, giving rise to different values assigned to the same designation. This compilation will facilitate the comparison across definitions for measurement data consumers and help them make informed decisions. Download (PDF)

The IEEE SA 3D Body Processing Industry Connections Functional Anatomy, Terms, and Common Foot Conditions (PDF)
This paper provides a brief overview of some important functional anatomy terms and concepts from a medical perspective. The scope of this paper is not to serve as a comprehensive review of all the factors that are important in footwear design but to introduce functional anatomical and biomechanical terms and concepts along with a brief discussion of the most common foot conditions and their relevance to the health implications of footwear. This paper is considered a companion paper to IEEE SA 3D Body Processing Industry Connections Comprehensive Review of Foot Measurements Terminology in Use paper. Download (PDF)

IEEE IC Industry Consortium on Learning Engineering—Proceedings of the 2019 Conference on Learning Engineering (PDF)
This paper presents the proceedings of the 2019 Conference on Learning Engineering. Download (PDF)

IEEE IC Big Data Governance and Metadata Management: Standards Roadmap (PDF)
The goal of Big Data Governance and Metadata Management (BDGMM) is to address Big Data characteristic challenges that would enable data integration/mashup among heterogeneous datasets from diversified domain repositories. This would allow data to be discoverable, accessible, and re-usable through a machine readable and actionable standard data infrastructure. This document identifies the challenges and opportunities with the ever-increasing deluge of information and forms the scope of boundaries; surveys examples of how such data exploration could impact emerging vertical application domains such as IoT, social media, smart cities, smart manufactures, and 5G wireless networks; provides a deeper understanding of the BDGMM challenges through a variety of case studies; presents a set of extracted requirements from the identified case study challenges and aggregated them into five general categories of requirements; lists the relevant standards activities that can potentially be used as enablers to support BDGMM; constructs a potential reference architecture by analyzing common feature components from various governance and metadata management architectures, then performing standard technology gap analysis by comparing what the architecture feature components need and what existing standards can offer; and lists recommendations of possible standards development needs in order to support BDGMM.  Download (PDF)