scholarly journals Detection of Low Electrolyte Level for Vented Lead–Acid Batteries Based on Electrical Measurements

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4435
Author(s):  
Eugenio Camargo ◽  
Nancy Visairo ◽  
Ciro Núñez ◽  
Juan Segundo ◽  
Juan Cuevas ◽  
...  
Keyword(s):  
Optical Sensors ◽  
Internal Resistance ◽  
Electrical Circuit ◽  
Electrical Measurements ◽  
Irreversible Damage ◽  
Low Level ◽  
Non Invasive ◽  
Electrolyte Level ◽  
Different Levels ◽  
Lead Acid

It is well known that a low level of electrolytes in batteries produces a malfunction or even failure and irreversible damage. There are several kinds of sensors to detect the electrolyte level. Some of them are non-invasive, such as optical sensors of level, while some others are invasive; but both require one sensor per battery. This paper proposes a different approach to detect the low electrolyte level, which neither requires invasive sensors nor one sensor for each battery. The approach is based on the estimation of the internal resistance of an equivalent electrical circuit (EEC) model of the battery. To establish the detection criterion of the low level of electrolytes, a statistical analysis is proposed. To demonstrate the feasibility of this approach to be considered a valid method, multiple experiments were performed. The experiments consisted of determining how the internal resistance is affected at eight different levels of electrolyte at different aging levels of vented lead–acid (VLA) batteries. The results have demonstrated the feasibility of this approach. Hence, this approach has the potential to be used for the reducing of sensors and avoiding invasive methods to determine the low level of electrolytes.

Responses to External Emotions or their Transitions at Central to Peripheral Nervous System Levels: A Methodological Contribution to Mental Health

2020 ◽  
Vol 16 (2) ◽  
pp. 138-152
Author(s):  
Bingren Zhang ◽  
Chu Wang ◽  
Chanchan Shen ◽  
Wei Wang
Keyword(s):  
Healthy Volunteers ◽  
Psychiatric Patients ◽  
Event Related Potentials ◽  
Emotional Stimuli ◽  
Non Invasive ◽  
Related Potentials ◽  
Different Populations ◽  
Invasive Techniques ◽  
Psychiatric Problems ◽  
Different Levels

Background: Responses to external emotional-stimuli or their transitions might help to elucidate the scientific background and assist the clinical management of psychiatric problems, but pure emotional-materials and their utilization at different levels of neurophysiological processing are few. Objective: We aimed to describe the responses at central and peripheral levels in healthy volunteers and psychiatric patients when facing external emotions and their transitions. Methods: Using pictures and sounds with pure emotions of Disgust, Erotica, Fear, Happiness, Neutral, and Sadness or their transitions as stimuli, we have developed a series of non-invasive techniques, i.e., the event-related potentials, functional magnetic resonance imaging, excitatory and inhibitory brainstem reflexes, and polygraph, to assess different levels of neurophysiological responses in different populations. Results: Sample outcomes on various conditions were specific and distinguishable at cortical to peripheral levels in bipolar I and II disorder patients compared to healthy volunteers. Conclusions: Methodologically, designs with these pure emotions and their transitions are applicable, and results per se are specifically interpretable in patients with emotion-related problems.

scholarly journals Spectral Decomposition of the Flow and Characterization of the Sound Signals through Stenoses with Different Levels of Severity

2021 ◽  
Vol 8 (3) ◽  
pp. 41
Author(s):  
Fardin Khalili ◽  
Peshala T. Gamage ◽  
Amirtahà Taebi ◽  
Mark E. Johnson ◽  
Randal B. Roberts ◽  
...  
Keyword(s):  
Pressure Fluctuations ◽  
High Energy ◽  
Sound Sources ◽  
Severity Level ◽  
Non Invasive ◽  
Flow Through ◽  
Severity Of The Disease ◽  
Proper Orthogonal ◽  
Different Levels

Treatments of atherosclerosis depend on the severity of the disease at the diagnosis time. Non-invasive diagnosis techniques, capable of detecting stenosis at early stages, are essential to reduce associated costs and mortality rates. We used computational fluid dynamics and acoustics analysis to extensively investigate the sound sources arising from high-turbulent fluctuating flow through stenosis. The frequency spectral analysis and proper orthogonal decomposition unveiled the frequency contents of the fluctuations for different severities and decomposed the flow into several frequency bandwidths. Results showed that high-intensity turbulent pressure fluctuations appeared inside the stenosis for severities above 70%, concentrated at plaque surface, and immediately in the post-stenotic region. Analysis of these fluctuations with the progression of the stenosis indicated that (a) there was a distinct break frequency for each severity level, ranging from 40 to 230 Hz, (b) acoustic spatial-frequency maps demonstrated the variation of the frequency content with respect to the distance from the stenosis, and (c) high-energy, high-frequency fluctuations existed inside the stenosis only for severe cases. This information can be essential for predicting the severity level of progressive stenosis, comprehending the nature of the sound sources, and determining the location of the stenosis with respect to the point of measurements.

Non-Invasive Monitoring of Glucose Level Changes Utilizing a mm-Wave Radar System

2018 ◽  
Vol 10 (3) ◽  
pp. 10-29 ◽  
Author(s):  
George Shaker ◽  
Karly Smith ◽  
Ala Eldin Omer ◽  
Shuo Liu ◽  
Clement Csech ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Detection System ◽  
Diabetic Patients ◽  
Glucose Detection ◽  
60 Ghz ◽  
Non Invasive ◽  
Wave Radar ◽  
Recent Developments ◽  
Blood Glucose Concentrations ◽  
Different Levels

This article discusses recent developments in the authors' experiments using Google's Soli alpha kit to develop a non-invasive blood glucose detection system. The Soli system (co-developed by Google and Infineon) is a 60 GHz mm-wave radar that promises a small, mobile, and wearable platform intended for gesture recognition. They have retrofitted the setup for the system and their experiments outline a proof-of-concept prototype to detect changes of the dielectric properties of solutions with different levels of glucose and distinguish between different concentrations. Preliminary results indicated that mm-waves are suitable for glucose detection among biological mediums at concentrations similar to blood glucose concentrations of diabetic patients. The authors discuss improving the repeatability and scalability of the system, other systems of glucose detection, and potential user constraints of implementation.

scholarly journals Constructing Accurate Equivalent Electrical Circuit Models of Lithium Iron Phosphate and Lead–Acid Battery Cells for Solar Home System Applications

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2305 ◽  
Author(s):  
Yunhe Yu ◽  
Nishant Narayan ◽  
Victor Vega-Garita ◽  
Jelena Popovic-Gerber ◽  
Zian Qin ◽  
...  
Keyword(s):  
Lithium Iron Phosphate ◽  
Electrical Circuit ◽  
Design Stage ◽  
Model Parameters ◽  
Equivalent Electrical Circuit ◽  
Cell Level ◽  
Electrical Equivalent Circuit ◽  
Battery Model ◽  
Vrla Battery ◽  
Lead Acid

The past few years have seen strong growth of solar-based off-grid energy solutions such as Solar Home Systems (SHS) as a means to ameliorate the grave problem of energy poverty. Battery storage is an essential component of SHS. An accurate battery model can play a vital role in SHS design. Knowing the dynamic behaviour of the battery is important for the battery sizing and estimating the battery behaviour for the chosen application at the system design stage. In this paper, an accurate cell level dynamic battery model based on the electrical equivalent circuit is constructed for two battery technologies: the valve regulated lead–acid (VRLA) battery and the LiFePO 4 (LFP) battery. Series of experiments were performed to obtain the relevant model parameters. This model is built for low C-rate applications (lower than 0.5 C-rate) as expected in SHS. The model considers the non-linear relation between the state of charge ( S O C ) and open circuit voltage ( V OC ) for both technologies. Additionally, the equivalent electrical circuit model for the VRLA battery was improved by including a 2nd order RC pair. The simulated model differs from the experimentally obtained result by less than 2%. This cell level battery model can be potentially scaled to battery pack level with flexible capacity, making the dynamic battery model a useful tool in SHS design.

scholarly journals Saliency Detection by Multilevel Deep Pyramid Model

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Hai Wang ◽  
Lei Dai ◽  
Yingfeng Cai ◽  
Long Chen ◽  
Yong Zhang
Keyword(s):  
Background Noise ◽  
State Of The Art ◽  
Saliency Detection ◽  
Saliency Map ◽  
Multiple Features ◽  
Low Level ◽  
Pyramid Model ◽  
High Level ◽  
Different Levels ◽  
Better Than

Traditional salient object detection models are divided into several classes based on low-level features and contrast between pixels. In this paper, we propose a model based on a multilevel deep pyramid (MLDP), which involves fusing multiple features on different levels. Firstly, the MLDP uses the original image as the input for a VGG16 model to extract high-level features and form an initial saliency map. Next, the MLDP further extracts high-level features to form a saliency map based on a deep pyramid. Then, the MLDP obtains the salient map fused with superpixels by extracting low-level features. After that, the MLDP applies background noise filtering to the saliency map fused with superpixels in order to filter out the interference of background noise and form a saliency map based on the foreground. Lastly, the MLDP combines the saliency map fused with the superpixels with the saliency map based on the foreground, which results in the final saliency map. The MLDP is not limited to low-level features while it fuses multiple features and achieves good results when extracting salient targets. As can be seen in our experiment section, the MLDP is better than the other 7 state-of-the-art models across three different public saliency datasets. Therefore, the MLDP has superiority and wide applicability in extraction of salient targets.

scholarly journals Cooperative principles in practice: Experiences of Serbia

2021 ◽  
Vol 3 (2) ◽  
pp. 97-110
Author(s):  
Marija Nikolić ◽  
Ivan Božić ◽  
Dragica Božić
Keyword(s):  
Theoretical Consideration ◽  
Business Practice ◽  
Agricultural Cooperatives ◽  
Current Form ◽  
Low Level ◽  
The World ◽  
Level Of Knowledge ◽  
The Republic ◽  
Different Levels ◽  
Cooperative Principles

Cooperative principles represent one of the three elements of cooperative identity. In their current form, they have existed since 1995, when they were adopted by the International Cooperative Alliance, and they represent a recommendation to cooperatives around the world on how to organize their business. Adherence to these recommendations in everyday business practice of cooperatives is extremely challenging. In fact, there is a consensus in the literature that deviation from cooperative principles is inevitable. The paper analyzes the experiences of the Republic of Serbia in the implementation of cooperative principles from time of the first cooperatives until today, with special emphasis on agricultural cooperatives. The aim of this paper is to examine the extent to which cooperative principles are respected in the business of cooperatives in Serbia, what factors led to deviations from these recommendations and what consequences this had on the success of these organizations. The paper presents a synergy of theoretical consideration of the problem and examination of experiences of agricultural cooperatives in Serbia in the implementation of cooperative principles. Conducted research indicate that during the development of cooperatives, different levels of deviations from cooperative principles in the practice of agricultural cooperatives were recorded, from very mild to extremely significant deviations that led to the suppression of true cooperative nature. Modern cooperative practice in Serbia is marked by a low level of knowledge of the elements of cooperative identity by the members and management of cooperatives, which further stipulates the posibility of their implementation in practice.

Temporomandibular Joint Kinematics of the Rabbit Model With Mechanically Disrupted Occlusion

2011 ◽  
Author(s):  
Sarah E. Henderson ◽  
Alejandro J. Almarza ◽  
Scott Tashman ◽  
Amy L. McCarty
Keyword(s):  
Temporomandibular Joint ◽  
Rabbit Model ◽  
Specific Pattern ◽  
Therapeutic Interventions ◽  
Irreversible Damage ◽  
Invasive Approach ◽  
Functional Changes ◽  
Factors Associated ◽  
Non Invasive ◽  
Injury Model

Degeneration of the articulating surfaces and pain associated with temporomandibular joint (TMJ) dysfunction are the primary symptoms of TMJ disorders (TMDs), where normal life activities such as eating, talking, and even sleeping may be drastically impaired [1–3]. To accelerate the discovery of effective therapeutic interventions for the treatment of TMD pain, we have been establishing a novel non-invasive approach for objectively assessing the presence of joint hypersensitivity. Our approach to identify chronic joint pain is based on evidence that all of the etiological factors associated with TMD pain implicate remodeling and degeneration of the joint in response to alterations in motion and loading. The injury model used for this study was a reversible, mechanical model through splint placement on the molars. It is hypothesized that arthrokinematic analysis will identify a specific pattern of functional changes that constitute a signature for the presence of irreversible damage.

Event Detection in Sports Video Based on Generative-Discriminative Models

2011 ◽  
pp. 143-165
Author(s):  
Guoliang Fan ◽  
Yi Ding
Keyword(s):  
Event Detection ◽  
Semantic Analysis ◽  
Building Blocks ◽  
Semantic Space ◽  
Sports Video ◽  
Low Level ◽  
Discriminative Models ◽  
Video Mining ◽  
High Level ◽  
Different Levels

Semantic event detection is an active and interesting research topic in the field of video mining. The major challenge is the semantic gap between low-level features and high-level semantics. In this chapter, we will advance a new sports video mining framework where a hybrid generative-discriminative approach is used for event detection. Specifically, we propose a three-layer semantic space by which event detection is converted into two inter-related statistical inference procedures that involve semantic analysis at different levels. The first is to infer the mid-level semantic structures from the low-level visual features via generative models, which can serve as building blocks of high-level semantic analysis. The second is to detect high-level semantics from mid-level semantic structures using discriminative models, which are of direct interests to users. In this framework we can explicitly represent and detect semantics at different levels. The use of generative and discriminative approaches in two different stages is proved to be effective and appropriate for event detection in sports video. The experimental results from a set of American football video data demonstrate that the proposed framework offers promising results compared with traditional approaches.

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