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The production of learning objects has been investigated in order to improve its quality, reusability, among others aspects. In this context, besides of analyzing the final product of the objects and its methodologies, it is also important to analyze the roles involved in the production, including the team's necessary skills to produce a learning object with high quality, reuse and able to solve a...
Delivering precisely the desired dose distribution to the patient during radiotherapy is of crucial importance for treatment success and monitoring the actual distributed dose opens the possibility to correct for deposition inaccuracies and thus achieve better conformance to the treatment plan. Positron emission tomography has already been successfully used to measure the residual radioactivity from...
Allocating resources to virtualized network functions and services to meet service level agreements is a challenging task for NFV management and orchestration systems. This becomes even more challenging when agile development methodologies, like DevOps, are applied. In such scenarios, management and orchestration systems are continuously facing new versions of functions and services which makes it...
Today, with developing technologies and expanding health care system, medical waste has reached a fairly large volume. Particularly, the extensive use of disposable medical devices and supplies are among the factors that increase the production of medical waste. Monitoring the processes involving the separation, temporary storage, disposal, and transfer of medical waste is critical in terms of the...
Chemical pesticides security and configuration problems of low precision blending process design a kind of liquid chemical pesticide ingredient line automatic control system. System consists of Host-Computer, PLC, weighing instruments and touch-screen configuration, which use Visual Basic develop design software, with data collection, storage and query capabilities. Omron PLC as the master controller...
In situ real-time production monitoring of polymer matrix composites is becoming ever more important due to the increasing complexity of composites manufacturing techniques, in conjunction with the adoption of newer materials. This paper presents the design and implementation of a capacitive sensor network for composites production monitoring, i.e., mold filling, (post) curing of the polymer, and...
BigDAWG is a polystore database system designed to work with heterogenous data that may be stored in disparate database and storage engines. A central component of the BigDAWG polystore system is the ability to submit queries that may be executed in different data engines. This paper presents a monitoring framework for the BigDawg federated database system which maintains performance information on...
In modern distribution systems, the wide presence of Distributed Energy Resources (DERs) (e.g. intermittent and non-programmable renewable sources, such as photovoltaic power plants and micro wind turbines), is going to cause increasing problems in the traditional management of the distribution grid. Recently, the use of Distributed Energy Storage Systems (DESSs) has been proposed to limit the impact...
This extended abstract provides the scope of the semi-plenary lecture. A fault diagnosis system for a wind turbine typically has a modular structure, each module being dedicated to specific components or to performance monitoring. Important issues arising in the application of model-based fault diagnosis in an industrial context are discussed and illustrated on a performance monitoring module based...
The food sector is challenged to provide safe and qualitative food to consumers at affordable price and to feed appropriately increasing population using natural resources, like soil and water, in a sustainable way. Consumers awareness about food origin, nutritional and wellness properties, attention to processed meals ingredients, due to health issues, and requests of new customized portions formats...
A key challenge in nowadays machinery applications is to guaranty availability and to increase productivity while reducing production costs. Companies, which are able to use their produced data (e.g., process values) to overcome this challenge, will have a significant competitive advantage. This paper shows how data-analytics approaches can be used to realize predictive maintenance solutions, taking...
A method to define a best case behavioral or “golden inverter” software model has been developed, derived from either internal inverter readings (internal), high precision site based measurements or laboratory characterization and well defined conditions. The paper describes the method of the model development as well as the performance of the model for a selected use case.
The basis for the fourth industrial revolution is the availability of accessing all relevant information in real time by connecting all instances involved in the value chain. The ultimate goal is to manage the entire value chain process, improving efficiencies in the production process and coming up with better products and services. The essence of vertical networking comes from the use of cyber-physical...
Current trend in industrial systems is to make devices more intelligent and distribute the control into smaller components. The intelligent devices produce big amount of data which can be provided to plant personnel for maintaining the proper function and desired production performance. Large systems may contain hundreds of intelligent controllers, therefore, there is a need for a system that can...
Hard disk manufacturing is an important industry in Thailand. The production line of its manufacturing process is highly complex and consists of hundreds of automated machines running a continuous flow production. When an anomaly event occurs the production line has to be stopped and the diagnosis engineering team must identify and locate the source of error amongst those machines and correct them...
The automatic detection of anomalies, defined as patterns that are not encountered in representative set of normal images, is an important problem in industrial control and biomedical applications. We have shown that this problem can be successfully addressed by the sparse representation of individual image patches using a dictionary learned from a large set of patches extracted from normal images...
This paper presents MONO, a tool to support interdisciplinary and geographically dispersed teams. MONO supports the definition, execution, and monitoring of collaborative processes to allow development engineers to interact with musicians, designers, and producers, to create digital contents such as video games or animated short films. MONO supports geographically distributed teams, involved in digital...
Moisture absorption of epoxy mold compounds (EMC) from IC packages is a serious concern especially for their reliability performance during stress tests. Numerous studies reported the popcorn cracking delamination due to moisture absorption of packaging materials during solder reflow [1]. Though no pop-corn delamination or other EMC to die pad delamination happened at time zero, current leakage may...
In order to recognizing the feature of abnormality in advance and fix the possible dirty data simultaneously, this article proposed a method to construct a proper mode for a production process producing specific product, a method to estimate the stability of a linear process and a group of data cleaning rule. Both the data processing procedure and algorithm are given detailedly with some samples and...
For purpose of information management of film capacitor production workshop to provide convenience for production department management to grasp the production realtime data, in this paper, we design a film capacitor production monitoring system adopting the man-machine interactive information collection technology based on data acquisition and wireless network transmission. By the technology, we...
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