Monitoring yeast species in quarg, quarg products and their production environment during the manufacturing process

2003 ◽  
Vol 32 (3) ◽  
pp. 317-322
Author(s):  
J. Šalomskiené ◽  
A. Paškevičius ◽  
I. Mačioniené
Keyword(s):  
Manufacturing Process ◽  
Yeast Species ◽  
Production Environment

scholarly journals “Chatty Devices” and edge-based activity classification

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Mike Lakoju ◽  
Amir Javed ◽  
Omer Rana ◽  
Pete Burnap ◽  
Samuelson T. Atiba ◽  
...  
Keyword(s):  
Learning Strategies ◽  
Manufacturing Process ◽  
Data Privacy ◽  
Human Robot Interaction ◽  
Production Environment ◽  
User Privacy ◽  
Robot Interaction ◽  
Actual Usage ◽  
Product Use ◽  
Edge Based

AbstractWith increasing automation of manufacturing processes (focusing on technologies such as robotics and human-robot interaction), there is a realisation that the manufacturing process and the artefacts/products it produces can be better connected post-production. Built on this requirement, a “chatty" factory involves creating products which are able to send data back to the manufacturing/production environment as they are used, whilst still ensuring user privacy. The intended use of a product during design phase may different significantly from actual usage. Understanding how this data can be used to support continuous product refinement, and how the manufacturing process can be dynamically adapted based on the availability of this data provides a number of opportunities. We describe how data collected on product use can be used to: (i) classify product use; (ii) associate a label with product use using unsupervised learning—making use of edge-based analytics; (iii) transmission of this data to a cloud environment where labels can be compared across different products of the same type. Federated learning strategies are used on edge devices to ensure that any data captured from a product can be analysed locally (ensuring data privacy).

scholarly journals “Chatty Devices” and Edge-based Activity Classification

2020 ◽  
Author(s):  
Mike Lakoju ◽  
Amir Javed ◽  
Omer Rana ◽  
Peter Burnap ◽  
Samuelson Atiba ◽  
...  
Keyword(s):  
Learning Strategies ◽  
Manufacturing Process ◽  
Data Privacy ◽  
Human Robot Interaction ◽  
Production Environment ◽  
User Privacy ◽  
Data Set ◽  
Actual Usage ◽  
Product Use ◽  
Edge Based

Abstract With increasing automation of manufacturing processes (focusing on technologies such as robotics and human-robot interaction), there is a realisation that the manufacturing process and the artefacts/products it produces can be better connected post-production. Built on this requirement, a “chatty” factory involves creating products which are able to send data back to the manufacturing/ production environment as they are used, whilst still ensuring user privacy. The intended use of a product during design phase may different significantly from actual usage. Understanding how this data can be used to support continuous product refinement, and how the manufacturing process can be dynamically adapted based on the availability of this data provides a number of opportunities. We describe how data collected on product use be used to: (i) classify product use; (ii) associate a label with product use using unsupervised learning – making use of edge-based analytics; (iii) transmission of this data to a cloud environment where labels can be compared across different products of the same type. Federated learning strategies are used on edge devices to ensure that any data captured from a product can be analysed locally (ensuring data privacy). Using a 6th gen. Apple iPad as a “chatty device” (with acceleration, orientation, angular velocity and magnetic field sensors) we demonstrate how product use activities can achieve a classification accuracy of 99.35%. A comparison is also undertaken with the Human Activity Recognition (HAR) data set, achieving an accuracy of 98%. Our approach demonstrates how semantic activity labels can be associated with product use, and subsequently used to improve product design.

scholarly journals A Comprehensive Fuzzy Decision-Making Method for Minimizing Completion Time in Manufacturing Process in Supply Chains

Mathematics ◽  
2021 ◽  
Vol 9 (22) ◽  
pp. 2919
Author(s):  
Fahad Kh. A.O.H. Alazemi ◽  
Mohd Khairol Anuar Bin Mohd Ariffin ◽  
Faizal Bin Mustapha ◽  
Eris Elianddy bin Supeni
Keyword(s):  
Supply Chains ◽  
Manufacturing Process ◽  
Completion Time ◽  
Fuzzy Inference ◽  
Fuzzy Topsis ◽  
Minimum Variance ◽  
Fuzzy Decision Making ◽  
Production Environment ◽  
Inference System ◽  
Fuzzy Weights

In manufacturing firms, there are many factors that can affect product completion time in production lines. However, in a real production environment, such factors are uncertain and increase the adverse effects on product completion time. This research focuses on the role of internal factors in small- and medium-scale supply chains in developing countries, enhancing product completion time during the manufacturing process in fuzzy conditions. In the first step of this research, a list of factors was found clustered into six main groups: technology, human resources, machinery, material, facility design, and social factors. In the next step, fuzzy weights of each group factor were determined by a fuzzy inference system to reflect the uncertainty of the factors in utilizing product completion time. Then, a hybrid fuzzy–TOPSIS-based heuristic is proposed to generate and select the best production alternative. The outcomes showed that the proposed method could generate and select the alternative with a 10.13% lower product completion time. The findings also indicated that using the proposed fuzzy method will cause less minimum variance compared to the crisp mode.

Identifying groups of airborne particles by ordination

1994 ◽  
Vol 52 ◽  
pp. 856-857
Author(s):  
M. Shlepr ◽  
C. M. Vicroy
Keyword(s):  
Elemental Analysis ◽  
Energy Dispersive Spectroscopy ◽  
Manufacturing Process ◽  
Spatial Representation ◽  
Airborne Particles ◽  
Common Source ◽  
Data Set ◽  
Microelectronics Industry ◽  
Induced Changes ◽  
Source Materials

The microelectronics industry is heavily tasked with minimizing contaminates at all steps of the manufacturing process. Particles are generated by physical and/or chemical fragmentation from a mothersource. The tools and macrovolumes of chemicals used for processing, the environment surrounding the process, and the circuits themselves are all potential particle sources. A first step in eliminating these contaminants is to identify their source. Elemental analysis of the particles often proves useful toward this goal, and energy dispersive spectroscopy (EDS) is a commonly used technique. However, the large variety of source materials and process induced changes in the particles often make it difficult to discern if the particles are from a common source.Ordination is commonly used in ecology to understand community relationships. This technique usespair-wise measures of similarity. Separation of the data set is based on discrimination functions. Theend product is a spatial representation of the data with the distance between points equaling the degree of dissimilarity.

Water in the Vinegar Manufacturing Process

1952 ◽  
Vol 44 (3) ◽  
pp. 449-449
Author(s):  
Rudolph Allgeier ◽  
Reuben Wisthoff ◽  
Frank Hildebrandt
Keyword(s):  
Manufacturing Process

A Perspective on Low Molecular Weight Heparins in the Management of Thrombosis

1993 ◽  
Vol 13 (S 01) ◽  
pp. S5-S11 ◽  
Author(s):  
Debra Hoppensteadt ◽  
Jeanine Walenga ◽  
A Ahsan ◽  
O Iqbal ◽  
W Jeske ◽  
...  
Keyword(s):  
Molecular Weight ◽  
Mechanism Of Action ◽  
Manufacturing Process ◽  
Laboratory Tests ◽  
Low Molecular Weight ◽  
Low Molecular Weight Heparins ◽  
Pharmacological Management

SummaryThe introduction of low molecular weight heparins has added a new dimension to the pharmacological management of thrombotic disorders. Because of different chemical and pharmacological characteristics, due to the manufacturing process, each LMWH should be considered as a distinct entitity and only be used for its given indication. A list of commercially available LMWHs is included. The mechanism of action of the LMWHs and their use in various disorders are discussed. Available laboratory tests for monitoring LMWHs are presented and their limitations pointed out.

Justification of the need to improve the legal, regulatory and methodological framework for the spread of parasitic infections in the provision of medical care

2020 ◽  
Vol 99 (5) ◽  
pp. 493-497
Author(s):  
M. M. Aslanova ◽  
T. V. Gololobova ◽  
K. Yu. Kuznetsova ◽  
Tamari R. Maniya ◽  
D. V. Rakitina ◽  
...  
Keyword(s):  
Medical Care ◽  
Research Work ◽  
Hospital Environment ◽  
Parasitic Infections ◽  
Infusion Therapy ◽  
Methodological Framework ◽  
Production Environment ◽  
Medical Institutions ◽  
Medical Network ◽  
Wide Range

Introduction. The purpose of our work was to justify the need to improve the legislative, regulatory and methodological framework and preventative measures in relation to the spread of parasitic infections in the provision of medical care. There is a wide range of pathogens of parasitic infestations that are transmitted to humans through various medical manipulations and interventions carried out in various medical institutions. Contaminated care items and furnishings, medical instruments and equipment, solutions for infusion therapy, medical personnel’s clothing and hands, reusable medical products, drinking water, bedding, suture and dressing materials can serve as a major factor in the spread of parasitic infections in the provision of medical care. Purpose of research is the study of the structure and SMP of parasitic origin, circulating on the objects of the production environment in multi-profile medical and preventive institutions of stationary type in order to prevent the occurrence of their spread within medical institutions. Material and methods. The material for the study was flushes taken from the production environment in 3 multi-profile treatment and prevention institutions of inpatient type: a multi-specialty hospital, a maternity hospital and a hospital specializing in the treatment of patients with intestinal diseases for the eggs of worms and cysts of pathogenic protozoa. Results. During the 2-year monitoring of medical preventive institutions, a landscape of parasitic contamination was found to be obtained from the flushes taken from the production environment objects in the premises surveyed as part of the research work. Discussions. In the course of research, the risk of developing ISMP of parasitic origin was found to be determined by the degree of epidemiological safety of the hospital environment, the number and invasiveness of treatment and diagnostic manipulations and various medical technologies. Conclusion. It is necessary to conduct an expert assessment of regulatory and methodological documents in the field of epidemiological surveillance and sanitary and hygienic measures for the prevention of medical aid related infections of parasitic origin, to optimize the regulatory and methodological base, to develop a number of preventive measures aimed at stopping the spread of parasitic infections in the medical network.

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