scholarly journals The Inclusion of the Food Microstructural Influence in Predictive Microbiology: State-of-the-Art

Foods ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 2119
Author(s):  
Davy Verheyen ◽  
Jan F. M. Van Impe
Keyword(s):  
Predictive Models ◽  
Microbial Growth ◽  
State Of The Art ◽  
Food Products ◽  
Predictive Microbiology ◽  
Microbiological Safety ◽  
Microstructural Effects ◽  
Food Microstructure ◽  
And Control

Predictive microbiology has steadily evolved into one of the most important tools to assess and control the microbiological safety of food products. Predictive models were traditionally developed based on experiments in liquid laboratory media, meaning that food microstructural effects were not represented in these models. Since food microstructure is known to exert a significant effect on microbial growth and inactivation dynamics, the applicability of predictive models is limited if food microstructure is not taken into account. Over the last 10–20 years, researchers, therefore, developed a variety of models that do include certain food microstructural influences. This review provides an overview of the most notable microstructure-including models which were developed over the years, both for microbial growth and inactivation.

BiLabel-Specific Features for Multi-Label Classification

2021 ◽  
Vol 16 (1) ◽  
pp. 1-23
Author(s):  
Min-Ling Zhang ◽  
Jun-Peng Fang ◽  
Yi-Bo Wang
Keyword(s):  
Predictive Models ◽  
Comparative Studies ◽  
State Of The Art ◽  
Classification Model ◽  
Generation Process ◽  
Prototype Selection ◽  
Class Label ◽  
Benchmark Datasets ◽  
Label Correlations ◽  
Class Labels

In multi-label classification, the task is to induce predictive models which can assign a set of relevant labels for the unseen instance. The strategy of label-specific features has been widely employed in learning from multi-label examples, where the classification model for predicting the relevancy of each class label is induced based on its tailored features rather than the original features. Existing approaches work by generating a group of tailored features for each class label independently, where label correlations are not fully considered in the label-specific features generation process. In this article, we extend existing strategy by proposing a simple yet effective approach based on BiLabel-specific features. Specifically, a group of tailored features is generated for a pair of class labels with heuristic prototype selection and embedding. Thereafter, predictions of classifiers induced by BiLabel-specific features are ensembled to determine the relevancy of each class label for unseen instance. To thoroughly evaluate the BiLabel-specific features strategy, extensive experiments are conducted over a total of 35 benchmark datasets. Comparative studies against state-of-the-art label-specific features techniques clearly validate the superiority of utilizing BiLabel-specific features to yield stronger generalization performance for multi-label classification.

scholarly journals A Multi-Timescale Bilinear Model for Optimization and Control of HVAC Systems with Consistency

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 400 ◽  
Author(s):  
Zelin Nie ◽  
Feng Gao ◽  
Chao-Bo Yan
Keyword(s):  
Optimization Model ◽  
Air Conditioning ◽  
State Of The Art ◽  
Hvac Systems ◽  
Practical Significance ◽  
Hvac System ◽  
Bilinear Model ◽  
Optimization And Control ◽  
And Control ◽  
Slow Timescale

Reducing the energy consumption of the heating, ventilation, and air conditioning (HVAC) systems while ensuring users’ comfort is of both academic and practical significance. However, the-state-of-the-art of the optimization model of the HVAC system is that either the thermal dynamic model is simplified as a linear model, or the optimization model of the HVAC system is single-timescale, which leads to heavy computation burden. To balance the practicality and the overhead of computation, in this paper, a multi-timescale bilinear model of HVAC systems is proposed. To guarantee the consistency of models in different timescales, the fast timescale model is built first with a bilinear form, and then the slow timescale model is induced from the fast one, specifically, with a bilinear-like form. After a simplified replacement made for the bilinear-like part, this problem can be solved by a convexification method. Extensive numerical experiments have been conducted to validate the effectiveness of this model.

scholarly journals Drone Deep Reinforcement Learning: A Review

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 999
Author(s):  
Ahmad Taher Azar ◽  
Anis Koubaa ◽  
Nada Ali Mohamed ◽  
Habiba A. Ibrahim ◽  
Zahra Fathy Ibrahim ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
State Of The Art ◽  
Real Life ◽  
Environment Monitoring ◽  
Simulated Environments ◽  
Infrastructure Inspection ◽  
Remote Sensing Mapping ◽  
And Control ◽  
The Military ◽  
Uav Navigation

Unmanned Aerial Vehicles (UAVs) are increasingly being used in many challenging and diversified applications. These applications belong to the civilian and the military fields. To name a few; infrastructure inspection, traffic patrolling, remote sensing, mapping, surveillance, rescuing humans and animals, environment monitoring, and Intelligence, Surveillance, Target Acquisition, and Reconnaissance (ISTAR) operations. However, the use of UAVs in these applications needs a substantial level of autonomy. In other words, UAVs should have the ability to accomplish planned missions in unexpected situations without requiring human intervention. To ensure this level of autonomy, many artificial intelligence algorithms were designed. These algorithms targeted the guidance, navigation, and control (GNC) of UAVs. In this paper, we described the state of the art of one subset of these algorithms: the deep reinforcement learning (DRL) techniques. We made a detailed description of them, and we deduced the current limitations in this area. We noted that most of these DRL methods were designed to ensure stable and smooth UAV navigation by training computer-simulated environments. We realized that further research efforts are needed to address the challenges that restrain their deployment in real-life scenarios.

Condensing Heat Exchanger Microbial Growth and Control Study-Phase II

1993 ◽  
Author(s):  
Robert W. Marsh ◽  
Mark E. Caron ◽  
Carol Metselaar ◽  
John Steele
Keyword(s):  
Heat Exchanger ◽  
Phase Ii ◽  
Microbial Growth ◽  
Study Phase ◽  
Condensing Heat Exchanger ◽  
And Control ◽  
Control Study

scholarly journals Design of Tendon-Driven Manipulators

1995 ◽  
Vol 117 (B) ◽  
pp. 80-86 ◽  
Author(s):  
Lung-Wen Tsai
Keyword(s):  
State Of The Art ◽  
Unique Characteristic ◽  
Current State ◽  
Dynamics And Control ◽  
And Control

This paper presents an overview of the current state-of-the-art in the design of tendon-driven manipulators. A special characteristic associated with tendon-driven manipulators is that tendons can only exert tension but not compression. Based on this unique characteristic, the fundamental mechanics associated with the design of tendon-driven manipulators are reviewed. The review includes structure classification, kinematics, statics, dynamics and control.

scholarly journals SRAVNITEL'NYY ANALIZ MIKROBIOLOGICHESKIKH POKAZATELEY KACHESTVA POVERKHNOSTI PLODOVOOVOSHCHNYKH PRODUKTOV, OBRABOTANNYKH VODOY I ELEKTROKHIMICHESKI AKTIVIROVANNYM VODNYM RASTVOROM COMPARATIVE ANALYSIS OF MICROBIOLOGICAL QUALITY INDICATORS SURFACES OF FRUIT AND VEGETABLE PRODUCTS PROCESSED WITH WATER AND ELECTROCHEMICALLY ACTIVATED AQUEOUS SOLUTION

2020 ◽  
Vol 2 (3(72)) ◽  
pp. 4-8
Author(s):  
O.A. Suvorov ◽  
K.V. Prohorova ◽  
D.I. Polyakova
Keyword(s):  
Comparative Analysis ◽  
Fruits And Vegetables ◽  
Raw Materials ◽  
Tap Water ◽  
Microbiological Quality ◽  
Food Products ◽  
Microbiological Safety ◽  
Highly Active ◽  
Physical Processing ◽  
Positive Effect

The method of improving the microbiological safety of food products based on the use of an electrochemically activated solution of chlorine-oxygen and hydroperoxide compounds was researched. The issue of food products cleaning is very relevant in catering. It’s usually used tap water for cleaning of vegetables and fruits, not disinfectant solutions or physical processing methods. During the analysis of this problem, several experiments were conducted with the «Анолит АНК СУПЕР» (anolyte) as a disinfectant for food products. The active agents of this solution are represented by a mixture of highly active metastable chlorine-oxygen and hydroperoxide compounds. To study the action of the anolyte, a research was conducted to determine the total microbial number (QMAFAnM) and the presence of yeast and fungi on the surfaces of the selected raw materials. It was used microbiological rapid tests «Петритест». Samples were: fresh carrots, fresh celery (leaf), fresh apples. During the research of raw materials treated with water supplied by a centralized drinking water supply system, it was determined that its level of contamination is large. When the samples treated with a disinfectant solution, a positive effect was observed: no seeds were found on the test materials. Anolyte’s using did not affect the organoleptic Евразийский Союз Ученых (ЕСУ) # 3(72), 2020 5 indicators: freshly squeezed juice was made from the processed raw materials and tasted and smelled like the drink which was made from fruits and vegetables and treated by tap water. A comparative analysis of the results was carried out and it was found that the use of the test solution had a positive effect on the microbiological safety of raw materials

scholarly journals ДОСЯГНЕННЯ ЕФЕКТИВНОГО РОЗПОДІЛЕНОГО ПЛАНУВАННЯ ЗА ДОПОМОГОЮ ЧЕРГ ПОВІДОМЛЕНЬ У ХМАРІ ДЛЯ БАГАТОЗАДАЧНИХ ОБЧИСЛЕНЬ ТА ВИСОКОПРОДУКТИВНИХ ОБЧИСЛЕНЬ

2020 ◽  
Author(s):  
Старовойтенко Олексій Володимирович
Keyword(s):  
Distributed Systems ◽  
System Performance ◽  
State Of The Art ◽  
Computation Time ◽  
Cloud Services ◽  
Distributed Scheduling ◽  
Message Processing ◽  
Computational Problem ◽  
Control Units ◽  
And Control

Due to the growth of data and the number of computational tasks, it is necessary to ensure the required level of system performance. Performance can be achieved by scaling the system horizontally / vertically, but even increasing the amount of computing resources does not solve all the problems. For example, a complex computational problem should be decomposed into smaller subtasks, the computation time of which is much shorter. However, the number of such tasks may be constantly increasing, due to which the processing on the services is delayed or even certain messages will not be processed. In many cases, message processing should be coordinated, for example, message A should be processed only after messages B and C. Given the problems of processing a large number of subtasks, we aim in this work - to design a mechanism for effective distributed scheduling through message queues. As services we will choose cloud services Amazon Webservices such as Amazon EC2, SQS and DynamoDB. Our FlexQueue solution can compete with state-of-the-art systems such as Sparrow and MATRIX. Distributed systems are quite complex and require complex algorithms and control units, so the solution of this problem requires detailed research.

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