Bootstrap–CURE: A novel clustering approach for sensor data: an application to 3D printing industry

The agenda of Industry 4.0 highlights smart manufacturing by making machines smart enough to make data-driven decisions. Large-scale 3D printers, being one of the important pillars in Industry 4.0, are equipped with smart sensors to continuously monitor print processes and make automated decisions. One of the biggest challenges in decision autonomy is to consume data quickly along the process and extract knowledge from the printer, suitable for improving the printing process. This paper presents the innovative unsupervised learning approach, bootstrap–CURE, to decode the sensor patterns and operation modes of 3D printers by analyzing multivariate sensor data. An automatic technique to detect the suitable number of clusters using the dendrogram is developed. The proposed methodology is scalable and significantly reduces computational cost as compared to classical CURE. A distinct combination of the 3D printer’s sensors is found, and its impact on the printing process is also discussed. A real application is presented to illustrate the performance and usefulness of the proposal. In addition, a new state of the art for sensor data analysis is presented.This work was supported in part by KEMLG-at-IDEAI (UPC) under Grant SGR-2017-574 from the Catalan government.Peer ReviewedPostprint (published version

Occupancy monitoring and prediction in ambient intelligent environment

Occupancy monitoring and prediction as an influential factor in the extraction of occupants' behavioural patterns for the realisation of ambient intelligent environments is addressed in this research. The proposed occupancy monitoring technique uses occupancy detection sensors with unobtrusive features to monitor occupancy in the environment. Initially the occupancy detection is conducted for a purely single-occupant environment. Then, it is extended to the multipleoccupant environment and associated problems are investigated. Along with the occupancy monitoring, it is aimed to supply prediction techniques with a suitable occupancy signal as the input which can enhance efforts in developing ambient intelligent environments. By predicting the occupancy pattern of monitored occupants, safety, security, the convenience of occupants, and energy saving can be improved. Elderly care and supporting people with health problems like dementia and Alzheimer disease are amongst the applications of such an environment. In the research, environments are considered in different scenarios based on the complexity of the problem including single-occupant and multiple-occupant scenarios. Using simple sensory devices instead of visual equipment without any impact on privacy and her/his normal daily activity, an occupant is monitored in a living or working environment in the single-occupant scenario. ZigBee wireless communication technology is used to collect signals from sensory devices such as motion detection sensors and door contact sensors. All these technologies together including sensors, wireless communication, and tagging are integrated as a wireless sensory agent

Advances in Evolutionary Algorithms

With the recent trends towards massive data sets and significant computational power, combined with evolutionary algorithmic advances evolutionary computation is becoming much more relevant to practice. Aim of the book is to present recent improvements, innovative ideas and concepts in a part of a huge EA field

Advanced Platform Systems Technology study. Volume 2: Trade study and technology selection

Three primary tasks were identified which include task 1-trade studies, task 2-trade study comparison and technology selection, and task 3-technology definition. Task 1 general objectives were to identify candidate technology trade areas, determine which areas have the highest potential payoff, define specific trades within the high payoff areas, and perform the trade studies. In order to satisfy these objectives, a structured, organized approach was employed. Candidate technology areas and specific trades were screened using consistent selection criteria and considering possible interrelationships. A data base comprising both manned and unmanned space platform documentation was used as a source of system and subsystem requirements. When requirements were not stated in the data base documentation, assumptions were made and recorded where necessary to characterize a particular spacecraft system. The requirements and assumptions were used together with the selection criteria to establish technology advancement goals and select trade studies. While both manned and unmanned platform data were used, the study was focused on the concept of an early manned space station

Data bases and data base systems related to NASA's Aerospace Program: A bibliography with indexes

This bibliography lists 641 reports, articles, and other documents introduced into the NASA scientific and technical information system during the period January 1, 1981 through June 30, 1982. The directory was compiled to assist in the location of numerical and factual data bases and data base handling and management systems

Managerial Problem-Solving Methods and Outline Specification for a Computer-Based Managerial Job-Management System

This thesis examines problem-solving theory and practice by managers and proposes a structure for computer-based job and problem management. Two principal models are advanced. The Problem-centred model reflects existing perceptions of the problem-solver analysing a specific issue but with further definition given of the main model components. The Role-centred model broadens the perspective to reflect the manager dealing with the totality of his current work units (tasks) amongst which problems form a sub-set. Whilst a work unit may not be 'problematic' it is linked with other issues both in terms of competition for resources and the causal relationships engendered by any resulting actions. The thesis describes a number of designed methods that have emerged in the last few decades including rational sequential approaches as well as self-contained methods which focus on a particular facet. Whilst the varied nature of most managerial problems precludes the adoption of a rigid phased approach, the individual phase components of the former and the specific foci of the latter may be relevant to some amongst the population of problems. Some of the failures in acceptance of the methods by practitioners can be attributed to an assumption that these are comprehensive rather than selectively relevant. Fieldwork provides additional insights into processes adopted in real-world problem-solving, main findings being fragmentation of a problem into sub-problems, the distinction between processes to solve problems and processes to administer the problem-solving process and the network of relationships between different problems. The desk-top PC is identified as currently the main tool for managers offering the most significant potential in terms of medium for methods design and delivery. The recently-emerging PIMs systems can provide the basis for job management but the functionality requires substantial expansion to include the problem-centred activities resulting in broad categories termed Search, Input, Output, Holding, Data and Relating. Executive Information Systems and Expert Systems provide increasingly relevant support within this overall framework, along with other tools and techniques. The main implication of the role-centred model is the requirement that problem-solving methods be embedded within a wider, holistic structure which reflects the manager addressing the totality of his current activities which are prioritised but also interrelated. Within this structure many existing methods, tools and techniques can be assimilated on a non-prescriptive basis as they can be viewed as selectively relevant to types of problem or individual activities within problem-solving processes