Fast biodegradation of long-alkanes by enhancing bacteria performance rate by per-oxidation

Abstract Developing nations have a critical need to increase electricity supply. Sudan has much unrealized potential for generating solar energy, particularly in the northern region. This research study focuses on designing a 1-GW solar power station in northern Sudan using the PVsyst7.0 software program. To determine the appropriate location for the solar-energy station, 14 criteria were evaluated. This process is generic and suitable for use in any other country. The method for conducting cash-flow estimates and return on investment is illustrated in the economic evaluation. The city of Dongola, the capital of the northern state, was selected because of its high annual irradiance on a horizontal surface at ~2333.2 kWh/m2. The simulation results show that the annual optimum tilt angle of inclination for photovoltaic (PV) modules is 30°, the energy production is 1 979 259 MWh/yr and the average annual performance rate is 0.810. In addition, the electric power consumption per capita in Sudan is 269 kWh/yr, so the proposed solar power plant with 1 979 259 MWh/yr can provide energy to 7.4 million people per year annually and reduce carbon emissions by ~18 million tons of carbon dioxide per year. Economic calculations show that the levelized cost of electricity (LCOE) is $0.06/kWh, the discounted payback period is ~11 years and the net present value is $635 291 000. As a result, the proposed grid-connected PV solar plant is considered economically, technically and environmentally feasible in Sudan.

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Evaluation of eMaintenance Application Based on the New Version of the EFQM Model

Sustainability ◽

10.3390/su13073682 ◽

2021 ◽

Vol 13 (7) ◽

pp. 3682

Author(s):

Renata Turisová ◽

Hana Pačaiová ◽

Zuzana Kotianová ◽

Anna Nagyová ◽

Michal Hovanec ◽

...

Keyword(s):

New Technology ◽

Production Quality ◽

Maintenance Management ◽

Initial Assessment ◽

Ongoing Research ◽

Self Evaluation ◽

Efqm Model ◽

Performance Rate ◽

Technical Solutions ◽

Whole Life Cycle

Maintenance management is connected with two opposing aspects, management costs and operational efficiency. With the implementation of new technology within the Industry 4.0 (I4.0) concept, new technical solutions are being created. These solutions (mainly robotic workplaces) must reach a maximum performance rate, production quality, and, of course, high availability. Their operation, during the whole life cycle, is expected to be absolutely safe with minimum maintenance costs. These trends, even though they seem to be optimistic, face a lot of problems. The conducted research follows up on the results of previous research aimed at the initial assessment Slovak industrial company readiness status for the I4.0 conception between 2017 and 2019. The aim of the ongoing research was to assess the readiness status in more than 70 industrial organizations in the selected area for the new concept of maintenance management (eMaintenance) and its relation to machinery integrated safety. The research was carried out by questioning, with the structure of individual questions and closed answers stemmed from the self-evaluation according to the new European Foundation for Quality Management (EFQM) Excellence Model (2020). The results of the research were presented to managements of questioned organizations and confirmed the assumptions about a low level of maintenance management transformation to eMaintenance.

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Provide a new method to determine effectiveness or performance rate of organization strategies based on Freeman model and using improved dimensional analysis method

2016 12th International Conference on Industrial Engineering (ICIE) ◽

10.1109/induseng.2016.7519358 ◽

2016 ◽

Cited By ~ 8

Author(s):

Mohammad Ali Sobhanallahi ◽

Abolfazl Gharaei ◽

Mohammad Pilbala

Keyword(s):

Dimensional Analysis ◽

New Method ◽

Analysis Method ◽

Dimensional Analysis Method ◽

Performance Rate

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Wavelet Transform Based Feature Extraction for EEG Signal Classification

WSEAS TRANSACTIONS ON COMPUTERS ◽

10.37394/23205.2021.20.21 ◽

2021 ◽

Vol 20 ◽

pp. 199-206

Author(s):

Seda Postalcioglu

Keyword(s):

Wavelet Transform ◽

High Performance ◽

Feature Vector ◽

Fast Response ◽

Eeg Signal ◽

Real Time Control ◽

Time Control ◽

Band Power ◽

Performance Rate

This study focused on the classification of EEG signal. The study aims to make a classification with fast response and high-performance rate. Thus, it could be possible for real-time control applications as Brain-Computer Interface (BCI) systems. The feature vector is created by Wavelet transform and statistical calculations. It is trained and tested with a neural network. The db4 wavelet is used in the study. Pwelch, skewness, kurtosis, band power, median, standard deviation, min, max, energy, entropy are used to make the wavelet coefficients meaningful. The performance is achieved as 99.414% with the running time of 0.0209 seconds

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Complex field coded MIMO systems: performance, rate, and trade-offs

Wireless Communications and Mobile Computing ◽

10.1002/wcm.92 ◽

2002 ◽

Vol 2 (7) ◽

pp. 693-717 ◽

Cited By ~ 28

Author(s):

Xiaoli Ma ◽

Georgios B. Giannakis

Keyword(s):

Mimo Systems ◽

Complex Field ◽

Trade Offs ◽

Performance Rate

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Improved Learning Conditions in the Establishment of Reading Skills with Disabled Readers

Council review ◽

10.1177/001440296903500501 ◽

1969 ◽

Vol 35 (5) ◽

pp. 341-352 ◽

Cited By ~ 29

Author(s):

Norris G. Haring ◽

Mary Ann Hauck

Keyword(s):

Reading Skills ◽

High Rate ◽

Group Setting ◽

Reading Levels ◽

Reading Material ◽

Learning Conditions ◽

Disabled Readers ◽

Improved Learning ◽

Performance Rate ◽

Instructional Reading

Learning conditions were individually programed in a group setting to provide sequential arrangement of reading material and systematic presentation of reinforcing events to optimize each child's performance. Arrangements of reinforcing events were designed first to accelerate performance rate, then to maintain the high rate. When learning conditions were individually appropriate, each child averaged between 100 and 200 more correct responses every day and spent very few minutes avoiding reading. The students not only made more correct responses daily and worked longer, but also progressed in instructional reading levels from one and one-half to 4 years over 5 months of instruction.

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A widespread thermodynamic effect, but maintenance of biological rates through space across life's major domains

Proceedings of The Royal Society B Biological Sciences ◽

10.1098/rspb.2018.1775 ◽

2018 ◽

Vol 285 (1890) ◽

pp. 20181775 ◽

Cited By ~ 13

Author(s):

Jesper G. Sørensen ◽

Craig R. White ◽

Grant A. Duffy ◽

Steven L. Chown

Keyword(s):

Temperature Compensation ◽

Large Scale ◽

Positive Relationship ◽

Alternative Hypothesis ◽

Developmental Rate ◽

Physiological Adaptation ◽

Thermal Environments ◽

Maximal Performance ◽

Thermodynamic Effect ◽

Performance Rate

For over a century, the hypothesis of temperature compensation, the maintenance of similar biological rates in species from different thermal environments, has remained controversial. An alternative idea, that fitness is greater at higher temperatures (the thermodynamic effect), has gained increasing traction. This alternative hypothesis is also being used to understand large-scale biodiversity responses to environmental change. Yet evidence in favour of each of these contrasting hypotheses continues to emerge. In consequence, the fundamental nature of organismal thermal responses and its implications remain unresolved. Here, we investigate these ideas explicitly using a global dataset of 619 observations of four categories of organismal performance, spanning 14 phyla and 403 species. In agreement with both hypotheses, we show a positive relationship between the temperature of maximal performance rate ( T opt ) and environmental temperature ( T env ) for developmental rate and locomotion speed, but not growth or photosynthesis rate. Next, we demonstrate that relationships between T env and the maximal performance rate ( U max ) are rarely significant and positive, as expected if a thermodynamic effect predominates. By contrast, a positive relationship between T opt and U max is always present, but markedly weaker than theoretically predicted. These outcomes demonstrate that while some form of thermodynamic effect exists, ample scope is present for biochemical and physiological adaptation to thermal environments in the form of temperature compensation.

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A Novel Method to Detect Inner Emotion States of Human using Artificial Neural Networks

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.f9588.038620 ◽

2020 ◽

Vol 8 (6) ◽

pp. 5820-5825

Keyword(s):

Physiological Signals ◽

Classification Rate ◽

Discrete Emotion ◽

Novel Approach ◽

Proposed Model ◽

Depression Detection ◽

Novel Method ◽

Artificial Neural ◽

Ann Classifier ◽

Performance Rate

Human computer interaction is a fast growing area of research where in the physiological signals are used to identify human emotion states. Identifying emotion states can be done using various approaches. One such approach which gained interest of research is through physiological signals using EEG. In the present work, a novel approach is proposed to elicit emotion states using 3-D Video-audio stimuli. Around 66 subjects were involved during data acquisition using 32 channel Enobio device. FIR filter is used to preprocess the acquired raw EEG signals. The desired frequency bands like alpha, delta, beta and theta are extracted using 8-level DWT. The statistical features, Hurst exponential, entropy, power, energy, differential entropy of each bands are computed. Artificial Neural network is implemented using Sequential Keras model and applied on the extracted features to classify in to four classes (HVLA, HVHA, LVHA and LVLA) and eight discrete emotion states like clam, relax, happy, joy, sad, fear, tensed and bored. The performance of ANN classifier found to perform better for 4- classes than 8-classes with a classification rate of 90.835% and 74.0446% respectively. The proposed model achieved better performance rate in detecting discrete emotion states. This model can be used to build applications on health like stress / depression detection and on entertainment to build emotional DJ.

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