scholarly journals Improving the Energy Efficiency of Industrial Refrigeration Systems by Means of Data-Driven Load Management

Processes ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1106
Author(s):  
Josep Cirera ◽  
Jesus A. Carino ◽  
Daniel Zurita ◽  
Juan A. Ortega
Keyword(s):  
Food Industry ◽  
Operation Time ◽  
Data Driven ◽  
Load Management ◽  
Common Denominator ◽  
Refrigeration System ◽  
The Individual ◽  
Industrial Refrigeration ◽  
Electrical Consumption ◽  
New Industry

A common denominator in the vast majority of processes in the food industry is refrigeration. Such systems guarantee the quality and the requisites of the final product at the expense of high amounts of energy. In this regard, the new Industry 4.0 framework provides the required data to develop new data-based methodologies to reduce such energy expenditure concern. Focusing in this issue, this paper proposes a data-driven methodology which improves the efficiency of the refrigeration systems acting on the load side. The solution approaches the problem with a novel load management methodology that considers the estimation of the individual load consumption and the necessary robustness to be applicable in highly variable industrial environments. Thus, the refrigeration system efficiency can be enhanced while maintaining the product in the desired conditions. The experimental results of the methodology demonstrate the ability to reduce the electrical consumption of the compressors by 17% as well as a 77% reduction in the operation time of two compressors working in parallel, a fact that enlarges the machines life. Furthermore, these promising savings are obtained without compromising the temperature requirements of each load.

scholarly journals A Data-Driven-Based Industrial Refrigeration Optimization Method Considering Demand Forecasting

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 617 ◽  
Author(s):  
Josep Cirera ◽  
Jesus A. Carino ◽  
Daniel Zurita ◽  
Juan A. Ortega
Keyword(s):  
Demand Forecasting ◽  
Optimization Method ◽  
Remaining Useful Life ◽  
Operating Conditions ◽  
Data Driven ◽  
Refrigeration System ◽  
Operation Condition ◽  
Self Organizing Maps ◽  
Using Data ◽  
Industrial Refrigeration

One of the main concerns of industry is energy efficiency, in which the paradigm of Industry 4.0 opens new possibilities by facing optimization approaches using data-driven methodologies. In this regard, increasing the efficiency of industrial refrigeration systems is an important challenge, since this type of process consume a huge amount of electricity that can be reduced with an optimal compressor configuration. In this paper, a novel data-driven methodology is presented, which employs self-organizing maps (SOM) and multi-layer perceptron (MLP) to deal with the (PLR) issue of refrigeration systems. The proposed methodology takes into account the variables that influence the system performance to develop a discrete model of the operating conditions. The aforementioned model is used to find the best PLR of the compressors for each operating condition of the system. Furthermore, to overcome the limitations of the historical performance, various scenarios are artificially created to find near-optimal PLR setpoints in each operation condition. Finally, the proposed method employs a forecasting strategy to manage the compressor switching situations. Thus, undesirable starts and stops of the machine are avoided, preserving its remaining useful life and being more efficient. An experimental validation in a real industrial system is performed in order to validate the suitability and the performance of the methodology. The proposed methodology improves refrigeration system efficiency up to 8%, depending on the operating conditions. The results obtained validates the feasibility of applying data-driven techniques for the optimal control of refrigeration system compressors to increase its efficiency.

scholarly journals Stopping a Response When You Really Care about the Action: Considerations from a Clinical Perspective

2021 ◽  
Vol 11 (8) ◽  
pp. 979
Author(s):  
Sharon Morein-Zamir ◽  
Gideon Anholt
Keyword(s):  
Response Inhibition ◽  
Action Control ◽  
Common Denominator ◽  
Obsessive Compulsive ◽  
Apparent Paradox ◽  
Compulsive Disorder ◽  
Reward Seeking ◽  
Threat Avoidance ◽  
The Individual ◽  
Action Tendencies

Response inhibition, whether reactive or proactive, is mostly investigated in a narrow cognitive framework. We argue that it be viewed within a broader frame than the action being inhibited, i.e., in the context of emotion and motivation of the individual at large. This is particularly important in the clinical domain, where the motivational strength of an action can be driven by threat avoidance or reward seeking. The cognitive response inhibition literature has focused on stopping reactively with responses in anticipation of clearly delineated external signals, or proactively in limited contexts, largely independent of clinical phenomena. Moreover, the focus has often been on stopping efficiency and its correlates rather than on inhibition failures. Currently, the cognitive and clinical perspectives are incommensurable. A broader context may explain the apparent paradox where individuals with disorders characterised by maladaptive action control have difficulty inhibiting their actions only in specific circumstances. Using Obsessive Compulsive Disorder as a case study, clinical theorising has focused largely on compulsions as failures of inhibition in relation to specific internal or external triggers. We propose that the concept of action tendencies may constitute a useful common denominator bridging research into motor, emotional, motivational, and contextual aspects of action control failure. The success of action control may depend on the interaction between the strength of action tendencies, the ability to withhold urges, and contextual factors.

Data Science and real world health data improve precision for diagnosis: Acute Kidney Injury, acute-on-chronic and Chronic Kidney Disease (Preprint)

2021 ◽  
Author(s):  
Karen Triep ◽  
Alexander Benedikt Leichtle ◽  
Martin Meister ◽  
Georg Martin Fiedler ◽  
Olga Endrich
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Data Science ◽  
Query Language ◽  
Correct Diagnosis ◽  
Kidney Injury ◽  
Data Driven ◽  
World Health ◽  
Discharge Data ◽  
The Individual

BACKGROUND The criteria for the diagnosis of kidney disease outlined in “The Kidney Disease: Improving Global Outcomes (KDIGO)” are based on a patient’s current, historical and baseline data. The diagnosis of acute (AKI), chronic (CKD) and acute-on-chronic kidney disease requires past measurements of creatinine and back-calculation and the interpretation of several laboratory values over a certain period. Diagnosis may be hindered by unclear definition of the individual creatinine baseline and rough ranges of norm values set without adjustment for age, ethnicity, comorbidities and treatment. Classification of the correct diagnosis and the sufficient staging improves coding, data quality, reimbursement, the choice of therapeutic approach and the patient’s outcome. OBJECTIVE With the help of a complex rule-engine a data-driven approach to assign the diagnoses acute, chronic and acute-on-chronic kidney disease is applied. METHODS Real-time and retrospective data from the hospital’s Clinical Data Warehouse of in- and outpatient cases treated between 2014 – 2019 is used. Delta serum creatinine, baseline values and admission and discharge data are analyzed. A KDIGO based standard query language (SQL) algorithm applies specific diagnosis (ICD) codes to inpatient stays. To measure the effect on diagnosis, Text Mining on discharge documentation is conducted. RESULTS We show that this approach yields an increased number of diagnoses as well as higher precision in documentation and coding (unspecific diagnosis ICD N19* coded in % of N19 generated 17.8 in 2016, 3.3 in 2019). CONCLUSIONS Our data-driven method supports the process and reliability of diagnosis and staging and improves the quality of documentation and data. Measuring patients’ outcome will be the next step of the project.

Investigating the use of metadata record graphs to analyze subject headings in the digital public library of America

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mark Edward Phillips ◽  
Hannah Tarver
Keyword(s):  
Network Analysis ◽  
Public Library ◽  
Quality Analysis ◽  
Common Denominator ◽  
Digital Collections ◽  
Content Type ◽  
Metadata Record ◽  
Metadata Quality ◽  
Subject Headings ◽  
The Individual

Purpose This study furthers metadata quality research by providing complementary network-based metrics and insights to analyze metadata records and identify areas for improvement. Design/methodology/approach Metadata record graphs apply network analysis to metadata field values; this study evaluates the interconnectedness of subjects within each Hub aggregated into the Digital Public Library of America. It also reviews the effects of NACO normalization – simulating revision of values for consistency – and breaking up pre-coordinated subject headings – to simulate applying the Faceted Application of Subject Terminology to Library of Congress Subject Headings. Findings Network statistics complement count- or value-based metrics by providing context related to the number of records a user might actually find starting from one item and moving to others via shared subject values. Additionally, connectivity increases through the normalization of values to correct or adjust for formatting differences or by breaking pre-coordinated subject strings into separate topics. Research limitations/implications This analysis focuses on exact-string matches, which is the lowest-common denominator for searching, although many search engines and digital library indexes may use less stringent matching methods. In terms of practical implications for evaluating or improving subjects in metadata, the normalization components demonstrate where resources may be most effectively allocated for these activities (depending on a collection). Originality/value Although the individual components of this research are not particularly novel, network analysis has not generally been applied to metadata analysis. This research furthers previous studies related to metadata quality analysis of aggregations and digital collections in general.

scholarly journals COMBINING DATA-DRIVEN AND NUMERICAL MODELLING APPROACHES TO STORM EROSION PREDICTION

2020 ◽  
pp. 38
Author(s):  
Joshua Simmons ◽  
Kristen Splinter
Keyword(s):  
Numerical Models ◽  
Individual Performance ◽  
Study Data ◽  
Data Driven ◽  
Erosion Prediction ◽  
Trade Offs ◽  
Combining Data ◽  
Erosion Models ◽  
Using Data ◽  
The Individual

Physics-based numerical models play an important role in the estimation of storm erosion, particularly at beaches for which there is little historical data. However, the increasing availability of pre-and post-storm data for multiple events and at a number of beaches around the world has opened the possibility of using data-driven approaches for erosion prediction. Both physics-based and purely data-driven approaches have inherent strengths and weaknesses in their ability to predict storm-induced erosion. It is vital that coastal managers and modelers are aware of these trade-offs as well as methods to maximise the value from each modelling approach in an increasingly data-rich environment. In this study, data from approximately 40 years of coastal monitoring at Narrabeen-Collaroy Beach (SE Australia)has been used to evaluate the individual performance of the numerical erosion models SBEACH and XBeach, and a data-driven modelling technique. The models are then combined using a simple weighting technique to provide a hybrid estimate of erosion.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/v53dZiO8Y60

scholarly journals Characteristics of Sustainable Bioeconomy in the CEE Macro-region

2018 ◽  
Vol 27 (5) ◽  
pp. 5-26 ◽  
Author(s):  
Viktória Vásáry ◽  
Dorottya Szabó
Keyword(s):  
Triple Helix ◽  
Food Industry ◽  
Research Area ◽  
Sustainable Growth ◽  
Eastern European ◽  
Strategic Research ◽  
Knowledge Based ◽  
Research And Innovation ◽  
Transnational Cooperation ◽  
The Individual

In the coming decades to achieve further progress in sustainable growth of agriculture, aquaculture, forestry and food industry in the CEE countries there is a need to face specific challenges through the lens of bioeconomy, thus by shifting the emphasis to research, innovation and transnational cooperation for knowledge-based development. A shared strategic research and innovation framework that has already been offered by the Central-Eastern European Initiative for Knowledge-based Agriculture, Aquaculture and Forestry in the Bioeconomy, i.e. by the BIOEAST Initiative might enable these countries to work towards the development of a sustainable bioeconomy while effectively joining the European Research Area. The study is aimed at conceptualizing bioeconomy, analysing key socio-economic indicators of the ‘BIOEAST countries’ bioeconomy and describing the implications for policymakers based on the results of the ‘BIOEAST Bioeconomy Capacity Building Survey’. Based on the results of the survey the major findings of the research verify and strengthen the objectives of the BIOEAST Initiative. The individual results of the survey in terms of major bottlenecks in the supply chain, missing elements hindering competitiveness, the opportunities to raise competitiveness and functions of the intervention system led to the conclusion that the creation of sustainable bioeconomy explicitly requires triple-helix stakeholders to find efficient collaboration mechanisms and build synergies.

The Concept of a Healthy Individual

2016 ◽  
pp. 65-78
Author(s):  
Donald W. Winnicott
Keyword(s):  
Healthy Individual ◽  
Emotional Development ◽  
Social Psychiatry ◽  
Common Denominator ◽  
Individual Health ◽  
The Common ◽  
The Individual

In this talk to the Royal Medico-Psychological Association, Psychotherapy and Social Psychiatry Section Winnicott proposes that society cannot get further than the common denominator of individual health and that it must carry its unhealthy members. He gives an outline of the key areas of his theory of emotional development in the individual: the cornerstones of his life’s work in psychoanalysis.

scholarly journals Small-Signal Stability Analysis of Multi-Terminal DC Grids

Electronics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 130
Author(s):  
Amr Radwan
Keyword(s):  
Steady State ◽  
State Space ◽  
State Space Model ◽  
Operation Time ◽  
Power Sharing ◽  
Voltage Source ◽  
Small Signal ◽  
Small Signal Stability ◽  
Steady State Operation ◽  
The Individual

This paper presents a detailed small-signal analysis and an improved dc power sharing scheme for a six terminal dc grid. The multi-terminal DC (MTDC) system is composed of (1) two voltage-source converters (VSCs) entities operating as rectification stations; (2) two VSCs operating as inverting stations; (3) two dc/dc conversion stations; and (4) an interconnected dc networking infrastructure. The small-signal state-space sub-models of the individual entities are developed and integrated to formulate the state-space model of the entire system. Using the modal analysis, it is shown that the most critical modes are associated with the power sharing droop coefficients of the rectification stations, which are constrained by the steady-state operational requirements. Therefore, a second degree-of-freedom compensation scheme is proposed to improve the dynamic response of the MTDC system without influencing the steady-state operation. Time domain simulation results are presented to validate the analysis and show the effectiveness of the proposed techniques.

The Use of Jigs in Aeroplane Manufacture

1918 ◽  
Vol 22 (86) ◽  
pp. 39-48
Author(s):  
R. Borlase Matthews
Keyword(s):  
Metal Working ◽  
High Class ◽  
New Methods ◽  
The Individual ◽  
Building Operation ◽  
New Industry

A new industry calls for new methods—autrea jours, autres mceurs—and the aeroplane industry is therefore not exceptional in demanding many departures from recognised woodworking practice. In the first place the number of machines required to–day is so large that their construction should be described as a manufacturing rather than a building operation. That is to say, they should preferably be almost entirely put together by the aid of accurate machinery instead of being dependent to such an extent upon the skill of the individual workman, in trying and fitting one part to another until the whole is built up. In this connection it may be remarked that the design of the metal fittings for aeroplanes is not such as to call for any radical departure from previous high class small metal working practice. It is the woodworking side of the business which presents the new scope for initiative. It is this latter aspect, therefore, which will be considered here.

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