Design of An Efficient Image Enhancement Algorithms Using Hybrid Technique

Fundamental purposeof the image enhancement is to process the image in such a way so as to produce an image that is better in some or the other aspect than the original one for a specific purpose. It makes it easier for human viewers and machines to extract, interpret, and wherever necessary perform further processing on the information contained of the images. Image Enhancement is one of the important requirements in Digital Image Processing which is essential in making an image useful for various applications which can be seen in the various areas of Digital photography, Medicine, Geographic Information System, Industrial Inspection, Law Enforcement etc. Image Enhancement is used to improve the poor visual quality of the images. The proposed method is a hybrid method which is very effective in enhancing the images. Initially, frequency domain analysis is done followed by spatial domain procedures. The performance of the proposed method is assessed on the basis of two parameters i.e. Mean Square Error (MSE) and Peak Signal to noise ratio (PSNR)

Virtual learning of the tribal students in Bangladesh: Constrictions and propositions

This paper depicts the current panorama of virtual learning of the tribal students in Bangladesh with the constrictions and possible solutions. The study aimed to deal with the major issues about tribal students’ online education by bringing out the key restraints of their distance learning and the possible solutions. The researchers followed a mixed method using a 5-point Likert Scale to point out the learner sensitivities, an online Focus Group Discussion (FGD) to know specific information from all the tribes who participated in the study. Additionally, four different questions were also set for multiple response analyses. The results suggested that the tribal students have not agreeably received adequate facilities such as technological support, university funding, departmental encouragements, or monetary benefits from the quota system in the current pandemic (COVID-19) time to attend virtual learning sessions though they expect arrangements and future steps for academic learning. All institutions also could not provide them adequate opportunities to attend online classes. In conclusion, the study proposed some imperative measures for example, inclusion of flipped classroom, introducing blended learning henceforth, revising quota facilities, adequate electricity support and internet connection, to help the tribal students as they should not get deprived

Evaluating the Possibility of Integrating Augmented Reality and Internet of Things Technologies to Help Patients with Alzheimer's Disease

People suffering from Alzheimer's disease (AD) and their caregivers seek different approaches to cope with memory loss. Although AD patients want to live independently, they often need help from caregivers. In this situation, caregivers may attach notes on every single object or take out the contents of a drawer to make them visible before leaving the patient alone at home. This study reports preliminary results on an Ambient Assisted Living (AAL) real-time system, achieved through the Internet of Things (IoT) and Augmented Reality (AR) concepts, aimed at helping people suffering from AD. The system has two main sections: the smartphone or windows application allows caregivers to monitor patients' status at home and be notified if patients are at risk. The second part allows patients to use smart glasses to recognize QR codes in the environment and receive information related to tags in the form of audio, text, or three-dimensional image. This work presents preliminary results and investigates the possibility of implementing such a system.Comment: 5 pages, 5 figure

Microarray screening of Guillain-Barré syndrome sera for antibodies to glycolipid complexes

Objective: To characterize the patterns of autoantibodies to glycolipid complexes in a large cohort of Guillain-Barré syndrome (GBS) and control samples collected in Bangladesh using a newly developed microarray technique. Methods: Twelve commonly studied glycolipids and lipids, plus their 66 possible heteromeric complexes, totaling 78 antigens, were applied to polyvinylidene fluoride–coated slides using a microarray printer. Arrays were probed with 266 GBS and 579 control sera (2 μL per serum, diluted 1/50) and bound immunoglobulin G detected with secondary antibody. Scanned arrays were subjected to statistical analyses. Results: Measuring antibodies to single targets was 9% less sensitive than to heteromeric complex targets (49.2% vs 58.3%) without significantly affecting specificity (83.9%–85.0%). The optimal screening protocol for GBS sera comprised a panel of 10 glycolipids (4 single glycolipids GM1, GA1, GD1a, GQ1b, and their 6 heteromeric complexes), resulting in an overall assay sensitivity of 64.3% and specificity of 77.1%. Notable heteromeric targets were GM1:GD1a, GM1:GQ1b, and GA1:GD1a, in which exclusive binding to the complex was observed. Conclusions: Rationalizing the screening protocol to capture the enormous diversity of glycolipid complexes can be achieved by miniaturizing the screening platform to a microarray platform, and applying simple bioinformatics to determine optimal sensitivity and specificity of the targets. Glycolipid complexes are an important category of glycolipid antigens in autoimmune neuropathy cases that require specific analytical and bioinformatics methods for optimal detection

Improved Solar Photovoltaic Array Model with FLC Based Maximum Power Point Tracking

This paper presents an improved model of solar photovoltaic (PV) array along with the implementation of fuzzy logic as maximum power point tracking (MPPT). The proposed PV array behavioral model is more accurate and with reduced complexity though considered discrete components. The PV array model was well verified by considering the effect of change of environmental conditions, mainly intensity of solar irradiation (insolation) and temperature. The model was tested by feed a single phase inverter. MPPT control the operating voltage of  PV arrays in order to maximize their power output as a result maximize the array efficiency and minimize  the overall system cost. Using a Fuzzy logic based algorithm, the duty cycle of the converter inserted between source and load is adjusted continuously to track the MPP and compared with the conventional perturb and observed (P&O) method for changing environmental conditions. It was found that the Fuzzy logic based method can track the MPP more precisely and rapidly than the conventional one. In P&O method, if step size of input variable is very small, the accuracy in tracking MPP is sufficient but tracking speed becomes too slow. On the other hand if the step size is increased to imitate the rapidly changing weather conditions, accuracy deteriorates and unexpected results occur due to oscillation around a mean point although tracking speed increased. But in the case of proposed FLC whatever the step size of input variable it best suited to track MPP continuously and accurately. The obtained simulation results validate the competent of the solar PV array model as well as the fuzzy controller.DOI:http://dx.doi.org/10.11591/ijece.v2i6.132

Guillain-Barré syndrome following varicella-zoster virus infection

We describe the frequency, clinical features, and electrophysiological and immunological phenotypes of Guillain-Barré Syndrome (GBS) patients treated at a single institution in Bangladesh who had preceding chicken pox (primary Varicella-zoster virus [VZV] infection) within 4 weeks of GBS onset. A literature review of GBS cases preceding VZV infection is also provided. Diagnosis of GBS was based on the National Institute of Neurological Disorders and Stroke criteria for GBS. Serum anti-VZV IgM and IgG antibodies were quantified by indirect chemiluminescence immunoassay (CLIA); anti-Campylobacter jejuni IgG, IgM, and IgA antibodies and anti-ganglioside GM1 IgM and IgG antibodies, by enzyme-linked immunosorbent assays. Neurophysiologic subtypes were categorized following the Hadden criteria. Of 536 patients with GBS, 7 (1.3%) had chicken pox within 4 weeks before GBS onset. Four of the seven cases were male (age range, 23 to 40 years old). All seven patients were bed-bound, six had sensory symptoms, and three required mechanical ventilation for respiratory failure. All seven patients had CSF albuminocytologic dissociation and evidence of demyelination in nerve conduction studies. Anti-VZV IgM antibodies were present and anti-GM1 and anti-Campylobacter jejuni lipo-oligosaccharides (LOS) were negative in all cases. All patients had excellent outcome at 1 year (able to run). A systematic literature review of GBS cases related to VZV revealed 39 previously reported patients with comparable clinical presentations and outcomes, of which 36 had neurophysiologic evidence of demyelination. VZV infection is associated with the demyelinating subtype of GBS, clearly distinct from the axonal form of GBS that predominate in countries like Bangladesh

CSR in major European football leagues in the age of COVID-19: financial vulnerability, mental health and domestic violence

Purpose COVID-19 pandemic has significantly impacted the lives of people and businesses around the world in different ways. France, Spain, Italy and the UK are among the worst affected countries by this pandemic. The purpose of this paper is to identify and compare different corporate social responsibility (CSR) activities taken by the clubs and player of the major football leagues of these four countries to develop a more comprehensive model of intervention. Design/methodology/approach This paper has analyzed the initiatives taken by these football clubs and players to address financial vulnerabilities, mental health problems and domestic violence among the stakeholders and compared them with the existing CSR and humanitarian models. A case study approach has been used to collect and analyze data related to the CSR activities taken by the players and club management. Official websites of the clubs, newspaper and journal articles were among the major sources used to collect data for the paper. Findings Football clubs and players of the four major leagues have raised funds through different campaigns and delivered foods and essential medical supplies to the communities and hospitals to address financial vulnerabilities, mental health issues and domestic violence within their communities during the COVID-19 pandemic. They have provided guidance to their followers using social and television media to improve their physical and mental health during the pandemic. Online competitions, quizzes or virtual hangouts have also been used by the players to engage the stakeholders on a frequent basis. Football clubs have also initiated campaigns to raise awareness within the community on available medical services for the victims of domestic violence and also provided them with shelter, food, medical, legal and online counseling services. Originality/value Football clubs and players of the major leagues were always at the forefront to help the communities and hospitals to address issues related to mental health problems, financial vulnerabilities and domestic violence during the COVID-19 pandemic. The findings of this paper could help and guide other entities in designing a more comprehensive model of CSR interventions during pandemics or crisis situations to address financial vulnerabilities, mental health problems and domestic violence within their communities.©2022 Emerald Publishing Limited. This manuscript version is made available under the Creative Commons Attribution–NonCommercial 4.0 International (CC BY–NC 4.0) license, https://creativecommons.org/licenses/by-nc/4.0/fi=vertaisarvioitu|en=peerReviewed