Swarm of drones

The Unmanned Aerial Vehicles (UAVs) need the allocation of pilots and suffer from the lack of communication in a swarm with increasing aerial congestion. The main objective is to increase aerial safety and efficiency of drones by creating a Vehicular Ad-hoc Network (VANET)

An analysis and Assessment of human dignity in the poems of Shad Mohammad Khan

The goal of this study is to analyze Shad Mohammad Khan's verses, focusing on his insightful views about human perfection and dignity. It attempts to offer a philosophical analysis of the poet's writings, focusing in particular on ideas related to human love from mystical, theological, and philosophical perspectives. There are several religions, including Islam, that uphold the importance of the idea of human dignity. Shad Mohammad Khan's poetry offers a unique perspective on this specific problem and calls for a careful examination. A small body of academic work has been written about this esteemed poet. The aim of this research is to provide a critical examination of the verses written by Shad Mohammad Khan, with a particular focus on how human dignity and greatness are portrayed. Moreover, the goal of this study is to have a thorough philosophical discussion on the poet's corpus of work, paying special emphasis to how philosophy, religion, and mysticism intersect in his works. By adding to the scholarly knowledge of Shad Mohammad Khan's literary and philosophical significance, the aim is to close the current scholarly gap. The current investigation employs an all-encompassing methodology that integrates library and field research. The present study employs a methodology that entails the application of descriptive and analytical tools to analyse the poet's lines and the implementation of surveys to evaluate their relevance and impact. The poet's original works are considered primary sources, whilst related works, criticism, and interpretations are considered secondary sources

Ranking of Developing Countries Based on the Economic Freedom Index

In this paper we’ve ranked developing countries based on the Economic Freedom index. Therefore we are trying to do the analysis how this ranking is done using numerical taxonomic methodology. To do this, by estimating the effects of the determinants of FDI in 123 developing countries from 1997 to 2010, results showed that with regard to the degree of economic freedom or Economic openness, attract foreign direct investment in each country is different. In this study china, Equator, Liberia, Azerbaijan, Angola, Turkmenistan, Cape Verde, Kazakhstan, Panama, Vietnam, Bulgaria, Congo, Maldives, Bahrain, Cambodia, Jordan, Malaysia, Mongolia, Sudan, Trinidad, Belarus, Lesotho, Russian are the top 23 countries have been successful in attracting foreign direct investment thanks to appropriate economic and structures policies

Contact-induced Phonological Mergers: Transfer or Approximation

Sound changes in a language are considered nearly inevitable consequences of language death. The literature on sound change in obsolescencing languages has focused on whether the changes are internally or externally motivated, between convergent and divergent change and, therefore, the difference between categorical sound shifts and gradient phonetic effects has been overlooked. This paper examines the acoustic correlates of voicing distinctions in the Kurmanji language that investigate the subphonemic variation within a category. The results of a cross-generational acoustic study of Kurmanji showed that unaspirated initial voiceless stops have undergone phonetic change convergent with Persian, the dominant language. This paper argues that sound change in obsolescing languages may manifest substitution or approximation/expansion of phonological categories in the moribund languag

Analyzing Error Factors in the Media Language of Afghanistan from Universities Lecturers’ Points of View

Journalism and media play a pivotal role in reflecting societal issues, necessitating language that is simple and accessible to all segments of society, including the educated, illiterate, and semi-educated. This study aims to investigate the concerns surrounding the language used in the media, with a specific focus on Afghanistan. The objectives of this research are to analyze the error factors present in the media language of Afghanistan, identify areas of improvement, and enhance the quality and effectiveness of media communication in the country. To achieve these objectives, a descriptive methodology approach was employed. A comprehensive literature review was conducted to gather existing knowledge on the topic. Additionally, a survey was administered to Pashto Language Lecturers from different universities in Afghanistan to gather quantitative data. The collected data was analyzed using statistical techniques to determine measures of central tendency. The results of the questionnaire revealed several factors contributing to language errors in the media in Afghanistan. These factors include unprofessional journalists, inadequate translation, employment of inexperienced individuals, use of different Pashto dialects, and insufficient understanding of journalism professions. As a result, these factors have led to low-quality production in the country's media. This research sheds light on the language error factors affecting media communication in Afghanistan. By identifying these factors, this study provides insights into areas of improvement and highlights the need for addressing the challenges faced. The findings of this research can serve as a basis for developing strategies and interventions to enhance the quality and effectiveness of media language in Afghanistan, ultimately fostering better communication and understanding of societal issues

Analytical Solution of Biological Population of Fractional Differential Equations by Reconstruction of Variational Iteration Method

This article presents a brand-new approximation analytical technique we refer to as the reconstruction of variational iteration method. For the goal of solving fractional biological population option pricing equations, this methodology was created. In certain circumstances, you may actually use the well-known Mittag-Leffer function to get an explicit response. The usage of the three examples below demonstrates the precision and effectiveness of the suggested method. The results show that the RVIM is not only quite straightforward but also very successful at resolving non-linear problems

Characterization of the microvascular cerebral blood flow response to obstructive apneic events during night sleep

Peer ReviewedPostprint (author's final draft

SeLeP: Learning Based Semantic Prefetching for Exploratory Database Workloads

Prefetching is a crucial technique employed in traditional databases to enhance interactivity, particularly in the context of data exploitation. Data exploration is a query processing paradigm in which users search for insights buried in the data, often not knowing what exactly they are looking for. Data exploratory tools deal with multiple challenges such as the need for interactivity with no a priori knowledge being present to help with the system tuning. The state-of-the-art prefetchers are specifically designed for navigational workloads only, where the number of possible actions is limited. The prefetchers that work with SQL-based workloads, on the other hand, mainly rely on data logical addresses rather than the data semantics. They fail to predict complex access patterns in cases where the database size is substantial, resulting in an extensive address space, or when there is frequent co-accessing of data. In this paper, we propose SeLeP, a semantic prefetcher that makes prefetching decisions for both types of workloads, based on the encoding of the data values contained inside the accessed blocks. Following the popular path of using machine learning approaches to automatically learn the hidden patterns, we formulate the prefetching task as a time-series forecasting problem and use an encoder-decoder LSTM architecture to learn the data access pattern. Our extensive experiments, across real-life exploratory workloads, demonstrate that SeLeP improves the hit ratio up to 40% and reduces I/O time up to 45% compared to the state-of-the-art, attaining impressive 95% hit ratio and 80% I/O reduction on average