Volume 11 | Issue 3 |

 Abstract

A solution that utilizes trusted computing and blockchain technology to provide secure node switching in the Internet of Things (IoT) for power distribution. To address the issue of mobility in mobile wireless sensor networks (MWSNs), we present two mobility-aware hierarchical clustering methods based on a three-layer clustering hierarchy: the mobility-aware centralized clustering algorithm (MCCA) and the mobility-aware hybrid clustering algorithm (MHCA). Simulation results demonstrate that both algorithms increase the network lifetime, decrease energy consumption, stabilize cluster formation, and increase data throughput in MWSNs. The centralised clustering strategy outperforms the hybrid clustering approach.

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negative impact of mobility on data throughput, network connectivity, and scalability

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Keywords: Collagen cross-linking, topography, keratoconus

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ABSTRACT The expansion of the subscriber base in rural regions has lagged behind that in urban ones. This difference is mostly because people in rural areas don't have good infrastructure or easy access to cheap internet services. The way their networks are set up shows how sparse and disconnected rural areas are. This information shows that the telecom industry preferred to serve cities over rural areas. It must now study the true situation in isolated areas. The slow progress of wireless technology in the rural sector is mostly due to low per capita income and a low literacy rate. To make sure that customers in rural areas get the same level of service as those in cities, national policies should be put in place to increase competition and give businesses reasons to move into rural areas. People tend to look at putting phones in rural India as a business opportunity rather than as a necessary step in building a nationwide communications infrastructure. Reasonable prices for broadband communications services can't be offered in rural areas because of things like low population density, people living far apart, and harsh topography and weather. As a way to solve these problems, people have turned to new technology, such as wireless technology.

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Infrastructure, remote regions, dispersed population.

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Diabetic retinopathy (DR) is a serious eye disease that affects individuals with diabetes and can lead to vision loss and blindness. Preventing vision loss requires timely recognition and therapy of DR. Currently, DR detection is performed by trained ophthalmologists using fundus images of the eye. However, due to the increasing number of individuals with diabetes, the demand for DR screening exceeds the availability of trained professionals, making it necessary to develop automated DR detection systems. We provide a unique technique to DR detection based on multitask learning in this study. The proposed model is trained on a large dataset of fundus images to perform multiple tasks simultaneously, including DR classification, gaussian blur, and grey scaling. By jointly optimizing all tasks, the model is able to make more informed predictions and improve its performance compared to traditional single-task models. Experimental results on a freely available DR dataset show that our multitask learning approach outperforms state-of-the-art DR detection models in terms of F1-score and accuracy. Additionally, the gaussian blur capabilities of the model enable it to provide visual explanations for its predictions, which can be valuable for clinicians to understand the basis for DR diagnosis. In conclusion, our proposed multi-task learning approach for DR detection demonstrates promising results and has the potential to be used as an efficient and effective screening tool for DR in a clinical setting.

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: Multi-task learning, Diabetic Retinopathy, Convolutional Neural Networks, Deep Learning, Annotated fundus images.

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Domestic Violence is a heinous crime that not only affects the victim but also our society as a whole. It might include sexual, psychological, financial, and/or physical violence that on top of adversely impacting the present generation, echoes throughout generations to come. Irrespective of one's cultural, ethnic, and socio-economic background, its reach has spread out across centuries and time zones. However, given how global this phenomenon is, the awareness and tools needed to resist it are not quite up to the mark. Here is a list of five books about domestic abuse to help everyone better understand and identify the ramifications and mechanics of domestic violence. Women have been the vulnerable section of the society. It comprises nearly half of the national population of India. But since civilization of our society women have always been treated differently, whereas men have claimed all rights they have denied them to women. They have been vulnerable to violence and exploitation such as harassment, taunts, abuses, battering, molestation, rape, dowry deaths, sati, mental and physical torture. In many countries, women are dehumanized, forcibly married, sold off and subject to all kinds of humiliation. Domestic violence is an extreme manifestation of the low social value placed on women and also an extreme form of violation of women's human rights. Women lack of understanding of rights and therefore did not recognize violence expect when severe. Also there knowledge about law was very limited. Besides these, women received threats from their husbands if they reported violence to the collective. The present paper has been prepared with a view to discuss the various issues related to the domestic violence against Women. This study tries to find out the various causes, impact and measures of domestic violence against women of two Development Block of Majuli district District of Assam.

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Generation,.Domestic Violence,Psychological,civilization,humiliation.

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Abstract Human Conflicts in Cormac McCarthy's Select Novels Literature evaluate human lives through powerful word of the authors. Here is an American writer, Cormac McCarthy has written his novels in a different perspective by using some characters by adding unacceptable behaviours and facts. This research article is the the proof for human Conflicts of modern era. Cormac McCarthy's some of the novels are discussed in this research article to show the inner character of some human beings. The characters of Cormac McCarthy are unimaginable and unpredictable. Their situation makes them to become bad and worst and some characters are being good even though in all the negative situations.

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Carmac McCarthy, Outer Dark, All the Pretty Horses

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Background of the study- Rag-pickers are always living in high risk areas; it is a source of various types of physical and psychological illnesses. Rag picking is one of the most neglected sectors in society, and they have lack of adequate information and magnitude of problems and substance abuse practices, hence the rag pickers are more prone for psychological problems. Rag pickers suffer from many problems such as skin problems, musculoskeletal problems and occupational health problems i.e. cuts, prick injuries, animal bite etc. Aim of the study- To assess the physical health problems and psychological well-being among rag pickers Methodology- A descriptive design was used to assess the physical health problems and psychological well-being among rag pickers in selected areas of district Ludhiana, Punjab. The sample of study was 200 rag pickers. Structured checklist and rating scale was used for data collection. Data was collected by interview schedule and analysed by using descriptive and inferential statistics. Results- Findings of the present study revealed that all rag pickers had at least one or more health problems. Majority 185 (92.5%) of rag pickers suffered with integumentary problems. Maximum 172 (86%) rag pickers had foul breath followed by 86 (43%) were having discolouration of teeth, 173 (86.5%) subjects reported lice in hair, 24 (12%) subjects had skin itching. Half of subjects 100 (50%) had cuts and 96 (48%) subject had prick injuries. 96 (48%) rag pickers had low psychological well-being followed by 75 (37.5%) rag pickers had moderate psychological well-being and 29 (14.5%) rag pickers had high psychological well-being. Conclusion- Present study concluded that all rag pickers had one or more physical health problems. Majority (92.5%) of rag pickers suffered with integumentary problems and (48%) rag pickers had low psychological well-being. It was found that there was significant association of musculoskeletal problems with psychological well-being and gastrointestinal problems with period of stay in slums.

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Physical health problems, Psychological well-being, Rag pickers

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This paper attempts to show how Jayanta Mohapatra delves into sensibilities and social realities through contextual imageries in his poetry. Poetry is the product of exquisite sensibility which is equivalent to the poet's ability that mirrors the reality. Indian English poetry gives prominence to Jayanta Mohapatra exposing Indian sensibility, social realities and picturizing present-day scene through indicative and startling imagery with a focus on the desolation, starvation, seclusion, and loneliness of the Indian poor with a feeling of being Indian. His dominant concerns are the vision of grief, loss, dejection and rejection through the redolent imageries from Odisha and Jagannath culture. The landscape, cultural history, social life, rites, and rituals of people from India constitute the significant body of writings. His poetic world such as 'Hunger,' 'Summer', 'Her Hand', 'Dwan at Puri' etc. reflect his attachment with native sense. Indianness is a vital element in his thoughts, feeling and imagery. It has become one of the major vocations which he treats as an intensely personal exploration. His poetry is noticeable for the depiction of typical Indian atmosphere. He has committed himself to Indian values, culture, people, and language, and Indianness have always been in his blood and writings. Mahapatra's poetry is remarkable for depth of feelings and true poetic imagination which embraces a wide variety of such themes. Mahapatra's poetry evokes intense emotional benefits out of things around him. His poetic imagination transforms the events into verse. He makes observations about how people behave in social situations and about problems. In fact, he does not relinquish creative quality while addressing socio-cultural and political issues.

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Key Words: Sensibility, Indianness, Imagery, Reality

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Handwritten text recognition is an important area of research with various applications in digitizing historical documents, improving accessibility for visually impaired individuals, and facilitating automated data entry. In this project, we propose a novel approach for handwritten text recognition using a combination of deep learning and traditional computer vision techniques. Our approach utilizes a convolutional neural network (CNN) for feature extraction and a recurrent neural network (RNN) for sequence modeling, followed by a beam search decoding algorithm. We also incorporate various pre-processing techniques such as binarization, noise removal, and skew correction to enhance the accuracy of our model. To evaluate the performance of our approach, we use the IAM Handwriting Database and achieve a word recognition accuracy of 93.7%, outperforming existing state-of-the-art methods. Our approach is efficient and effective, making it suitable for real-world applications.

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Machine learning, Neural network, Handwritten text recognition

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In this article, a new medical communication scheme, protocol wireless medical sensor networks for the efficiency of healthcare (PWMSN4EoCH), shorten by (PEH), which uses hasty strategy and random network coding (RNC), is proposed. The new concept improves the performance of the healthcare network. It quickly analyzes the medical network description, focusing on some basic parameters for narrowband Internet of Things (NB-IoT) systems in wireless mesh networks (WMNs). This PEH effectively meets the requirements prescribed for wireless telemedicine applications in which medical sensors (MSs) share the downlink and uplink resources to its neighborhood, including wireless health hubs (WHHs) and wireless base stations (WBSs) for controlling the health of the human body. The PEH scheme substantially accelerates the implementation devices of telemedicine for patient satisfaction. In contrast, the state-of-the-art technique (SoAT) scheme, which is currently used, misses the entirety of the proposed principle. The proposed scheme is compared with the SoAT in terms of message size (bytes), roundtrip time (RTT) (ms), overall network capacity (ONC) (bytes/s, and delivery delay (DD) in ms. Our investigation has proved that the RTT, ONC, and DD of the proposed PEH are much better than the SoAT schemes, achieving 64%, 66%, and 71%, respectively. The simulation studies clearly indicate that the PEH introduces more than 64% performance enhancement over the SoAT scheme.

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 Keywords

Internet of Things, Random Network Coding, Telemedicine, Viral disease, Wireless Medical Sensor Networks.

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