Scopus Research — Suhair hussein talib

Smart healthcare is a program that provides services to patients and healthcare assistants at any time, it is used smartly with cloud computing. A smart mobile device can collect data from a wide range of receiving sets (Wi-Fi and cloud), underwired sensors, the internet of things (IoT). It permits doctors to monitor and diagnose patients with small embedded devices that are unobtrusive, wireless, lightweight, and capable of detecting, interpreting and communicating physiological signs easily in a timely manner without the need for a doctor present. This paper develops integrated smart records and reports and is shared via the cloud. A variety of small devices have been used that detect the object to be sensed and then tell the person monitoring the patient's condition, for example, body and room temperature, oxygen percentage, heart rate). This data is sent to the server via the Internet. To store details and monitor the patient through it. In the event that any error occurs in any of this data, such as a decrease or increase in the normal value, a signal will be sent via Telegram to the phone of the individual monitoring the patient's condition to alert and to take necessary action. © 2023 Institute of Advanced Engineering and Science. All rights reserved.

Tin sulfide (SnS) is a promising material for solar cell absorber layer applications due to its low cost, ease of availability and lower toxicity than other semiconductor materials, used for the same purpose. Thermal evaporation was used to deposit thin-film solar cells with SnS on glass and silicon substrates, with minimal silver doping ratios (0.02, 0.04 and 0.06) wt.% and thickness in the 125-nm range. Surface morphology, crystallite size and optical and electrical characteristics have all been thoroughly investigated. XRD analysis revealed that /both the undoped and Ag-doped SnS films were well crystallized, with an orthorhombic structure and polycrystalline nature. The (111) plane was the preferred orientation. Due to the low doping ratios, there are no silver-specific peaks. Additionally, the Scherer formula was used to calculate the crystallite size, which showed an increase from 3.7096 to 10.4716nm. AFM images showed that SnS: Ag (6wt.%) film has bigger grains than other samples. The Hall Effect test revealed that the film is p-type conductivity. The optical bandgap values were found to be in the (2.6-1.7eV) range. All of the SnS films had an absorption coefficient of more than 105cm-1 above the fundamental absorption edge. These polycrystalline and highly absorbing SnS thin films can be used to make heterojunction solar cells. The wider energy gap of the produced films, which allows more light to reach the solar cell junction, was found to be connected to changes in thin film microstructure characteristics. The efficiency of the prepared solar cells reached 5.4% for the 6wt.%Ag-doped SnS/Si solar cell, with a fill factor of 0.46. © 2023 World Scientific Publishing Company.

The SO2 oxidation by using of the Cu-carbon nanotube and Cu-borne nitride nanotube is investigated by LH and ER mechanisms. The Eformation values of CNT (7, 0), BNNT (7, 0), Cu-CNT (7, 0) and Cu-BNNT (7, 0) are negative and so the CNT (7, 0), BNNT (7, 0), Cu-CNT (7, 0) and Cu-BNNT (7, 0) are stable structures, from thermodynamic viewpoint. Based on abilities of Cu-CNT and Cu-BNNT, SO2 is joined to Cu-surface-O2* to produce intermediate. The cis-Cu-surface-O-SO2-O* in ER is more stable than corresponding complex in LH. Results indicated that the most stable complexes of O2, SO2 and SO3 species have lower EHLG values than other corresponding complexes, significantly. The ER pathway can be considered to oxidize of SO2 molecule via Cu-CNT and Cu-BNNT surfaces. The ER pathway is recommended pathway to creation of primary SO3 molecule as main step in SO2 oxidation (SO2 + Cu-surface-O2* → SO3 + Cu-surface-O*). Finally, the Cu-CNT and Cu-BNNT can catalyze oxidation of SO2, efficiently. © 2022 Elsevier B.V.

Diabetic retinopathy causes blindness in diabetics. Early identification and frequent screening of diabetic retinopathy can slow disease progression and visual loss. Retinal lesions result from diabetic retinopathy. Dark and brilliant retinal lesions predominate. Color, shape, and size distinguish lesions. Exudates are bright, while microaneurysms (MAs) and hemorrhages (HEMs) are dark. This study presents a retinal lesion screening method for diabetic retinopathy. The data is saturated at low and high intensities; picture intensity values are adjusted to enhance contrast. This study presents a unique rhombus multilevel retinal image segmentation method. In the proposed study, preprocessing, segmentation algorithms, morphological operation,median filter and gradient are all designed as parts of an effective automated system. With 40 photos, the recommended method produced accuracy and specificity of 99.9% and 99.5%, respectively. © 2023 Lavoisier. All rights reserved.

During peak demand hours, hydroelectric energy is one of the most significant sources of energy. Power sector restructuring has increased competition among the country's electricity providers. Estimating the future price of energy is critical for producers in order to enhance investment profit and make better use of resources. One of the most significant technologies of artificial intelligence, Artificial Neural Networks (ANN), has various applications in estimating and forecasting phenomena. Combining artificial intelligence models with optimization models (e.g. Artificial Bee Colonoy [ABC]) has recently become quite popular for improving the performance of artificial intelligence models. The goal of this study is to look at the effectiveness of ANN and ABC-ANN models in forecasting the dispersed and sinusoidal data of Angola's daily peak power price. The findings reveal that in this case study, the employment of the ABC-ANN model is not superior to the ANN model and has not resulted in enhanced performance and forecasting of power market data. As a result, the R2 of the ANN and ABC-ANN models is 0.88 and 0.85, respectively. © (2023). All Rights Reserved.

Numerous factors, such as the expansion of the growing demand for energy, depletion of fossil resources, environmental disasters caused by fossil fuels, global warming of the atmosphere, the greenhouse effect, and the need to balance the emission of polluting gases, have prompted a new scientific approach to natural renewable energies. However, large-scale electricity production and transfer to consumers are accompanied by significant losses. The purpose of this study was to design and optimize the use of a hybrid photovoltaic system and a gasoline-powered engine to generate electricity and heat. In this study, the design and operation of a hybrid photovoltaic system and a gas engine as a combined heat and power source were explored using the following three thermal loads, following electric load methods, and the GAMS-optimized simultaneous optimization model. With a description of the revenues, costs, and limitations of the problem, these optimizations were performed to reduce the net pure cost and determine the rate of return on investment, and the following results were obtained. This investigation was conducted to find ways to reduce operational costs. The amount of electricity produced by the following thermal load and optimal methods is greater than the amount of electricity consumed during the majority of hours in a day. This indicates that the system has made the decision to sell electrical energy to the network to reduce the costs associated with operating the system. When compared to the following thermal load method, the simultaneous optimal method for operation results in an approximately 15% reduction in the costs associated with operation. © 2023 University of Mohaghegh Ardabili. All rights reserved.

Maximum power point tracking (MPPT) algorithms are a practical solution to ensure the continuous operation of the photovoltaic systems, maximize the output of the PV system and overcome nonlinear characteristics under all circumstances. Different MPPT strategies were used to achieve the maximum output power of the photovoltaic system. There are conventional MPPT algorithms. Also, there are soft computing techniques to attract the maximum PowerPoint. In this paper, the MPPT approaches for solar systems are reviewed and compared in-depth with six different requirements, the comparison shows that the Incremental Conductance has an advantage over the conventional methods. Soft computing methods give high efficiency, but the effectiveness of soft computing techniques needs users for a good background on how it works, it's more complex than conventional MPPT methods, the essential variations among these approaches are digital versus analogy applications, design simplicity, sensor requirements, convergence time, effectiveness range, and hardware pricing. As a consequence, choosing the right algorithm is crucial for users since it impacts the electrical efficiency of the photovoltaic (PV) module and lowers expenses by lowering the number of solar panels required to produce the necessary electricity. © 2022 IEEE.

Zinc oxide nanorods (ZnO NRs.) film prepared by hydrothermal method and zinc oxide film chemically coated with a trinary semiconductor (CdZnS) thin layer was investigated in this work. Optical properties include transmission, absorption spectra and energy band gaps have been tested for prepared thin films. it was observed that the absorption edge of the films after coating shifted towards higher wavelengths. Also there is a remarkable reduction in energy gap for ZnO/CdZnS film with compare to ZnO NRs. Film. The energy gap of ZnO NRs was 3.2 eV and 2.5 eV for ZnO/CdZnS film. © 2022, S.C. Virtual Company of Phisics S.R.L. All rights reserved.

Many diseases cause harm to the human eye. Diabetic retinopathy could be one of the eye diseases, and the essential blindness reason, the lesions in the eye cause blood vessels that lead for blindness. The examination of the retina help in reduces the effect of disease on eye. In addition, diabetic patients regularly have to take a digital image for Retina. Then they are evaluated by skilled, which takes a long time and costs a lot of money due to the vast diabetic population. Then they are evaluated by skilled, which takes a long time and costs a lot of money due to the vast diabetic population. So, this field of study is vital and has the benefit of introducing systems for detection to decrease in an automated way. This work provides a brief overview of algorithms and devices for detecting exudates in the retina in an automated way. A device is designed to aid the auto-detection and grading of these diseases since the computer can expedite the test and correct the diagnosis. Using ocular imaging equipment to implement active data acquisition, nowadays, digital fundus pictures and optical coherence tomography (OCT) images are diagnosed as Diabetic Retinopathy (DR). To attain sufficient image quality for clinical diagnosis, most of the presently available fundus cameras and optical OCT instruments require the assistance of a professional operator. © 2022 IEEE.

Cloud computing has developed many services that a person might need in their life, including safety, convenience, economy, and other services. In this research, a system that depends on cloud computing was designed and implemented to provide a specific service within the university, which is the ability to control, protect, and monitor the electrical appliances used. The Arduino app is used, including 6 electrical devices, some of which are based on sensors (temperature sensor and other motion sensors). Through a specific interface, the user can control the power consumption by turning off the unused devices. When the amount of current drawn or the amount of energy consumed is known, this system is set to 12 A if the quantity of current surpasses a particular limit. Low-power devices will be turned off, and then the current will be checked to ensure that it is below the limit. If so, the devices will remain on, and the condition will continue. The most important properties widely available for electrical appliances is protection. In this paper, the protection is represented if the voltage drops below 200 V or more than 230 V, whereby all electrical appliances will be turned off. © 2022 IEEE.