27 research outputs found
Comparison of direct–indirect emissions of conventional and advanced technologies in European aviation
No full textThis research aims to investigate and compare new and existing technologies and their impact on overall emissions during climb, cruise, and descent (CCD). The data is obtained from the International Civil Aviation Organization (ICAO) and the European Environmental Agency related to fuel flow rates, types of aircraft and engines, and emission factors. Based on the data obtained, the nitrogen oxide (NOx), carbon monoxide (CO), and hydrocarbon (HC) emissions of each aircraft are carefully analyzed to estimate accurately their impact on the environment. The developed fuel flow model considers various factors to estimate the fuel consumption of selected aircraft and provide a comprehensive understanding of the environmental influence of each aircraft. The findings of the study reveal that in scope 1, traditional aircraft generate 27% higher emissions than biofuel-powered (100% blend with Jet-A1 fuel) aircraft, and this disparity increases to 31.4% when compared to hybrid electric aircraft. The analysis shows that electric aircraft emissions are 85.1% lower than conventional aircraft. Furthermore, it is estimated that in the majority of instances involving the chosen aircraft, the levels of NOx emissions are consistently greater in comparison to HC. Further, this study offers valuable insights to policymakers and regulators in their efforts to develop more effective emission regulations and incentives for the aviation industry, particularly concerning CCD emissions. It also provides a comparison of the top 10 European airports that are responsible for the highest emissions in Europe based on the data provided by OAG. In general, the results of this study possess the capacity to stimulate innovation and facilitate the advancement of environmentally friendly aircraft technology within Europe. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025
Secure Cloud Based IoT Data Storage
No full textWith the development of emerging technologies, the rate of security and performance of data storage problems are increasing daily and becomes basic necessity of every organizations to store and manage sensitive data in both cloud and IoT environments. Cloud computing is an advanced innovation in which individual can drive work by using several applications. It offers privilege to store data on cloud server while ensuring secrecy of cloud that become a significant problem now a days. Therefore, In the light of previous research study we aims to find various issues and challenges in existing cloud system and provide a better method to store the data in cloud. In our research, we proposed method to improve the secrecy of data storage by using AES encryption with PQC (NTRU) and SHA-512 with modern homomorphic (FHE) cryptographic algorithms. Furthermore, by employing this hybrid technique the performance of cloud storage can be enhance by ensuring the confidentiality and integrity. Furthermore, our proposed method has high performance, throughput and resistance against various attacks to store the large amount of data in cloud
A robust authorship attribution on big period
No full textAuthorship attribution is a task to identify the writer of unknown text and categorize it to known writer. Writing style of each author is distinct and can be used for the discrimination. There are different parameters responsible for rectifying such changes. When the writing samples collected for an author when it belongs to small period, it can participate efficiently for identification of unknown sample. In this paper author identification problem considered where writing sample is not available on the same time period. Such evidences collected over long period of time. And character n-gram, word n-gram and pos n-gram features used to build the model. As they are contributing towards style of writer in terms of content as well as statistic characteristic of writing style. We applied support vector machine algorithm for classification. Effective results and outcome came out from the experiments. While discriminating among multiple authors, corpus selection and construction were the most tedious task which was implemented effectively. It is observed that accuracy varied on feature type. Word and character n-gram have shown good accuracy than PoS n-gram
ترقی پسند اردو تنقید میں ترقی پسند تنقیدی تصورات کی معنویت
No full textThis article describes the background and early impressions of the progressive movement with the meaning of progressive Urdu criticism. The progressive movement is the very important movement in Urdu literature after the Romantic Movement. The best writers of India and Pakistan have been associated with this movement. The Progressive movement is a movement that consumes an important part in alleviating the people politically, economically, socially and culturally, keeping in view the social elements and in attracting them from regression to modernity. Here progressive ideas and concepts have been highlighted in the form of critical efforts of Sajjad Zaheer, Akhtar Hussain Raipuri, Prof. Mumtaz Hussain, Faraq Gorakhpuri, Ali Sardar Jafri, Dr. Abdul Aleem, Dr. Abdul Ghani, Dr. Ibadat Barelvi and Ashraf Lone. Other writers of the progressive movement have not denied the importance and usefulness of the ancient literary heritage. All writers have the best opportunities to establish the principles of modernity from their conservatism which work both individually and collectively for the welfare and social development of humanity
کرنل فضلِ اکبر کمالؔ اور میجر نورالحسن رضوی کے شعری مجموعوں کا جائزہ
No full textThis article has presented the services of Army's two great poets. They continued military service as well as Urdu. Colonel Fazl-e-Akbar Kamal is the author of "Hareem o Hijab". Their poetry has fascinating trend and reality factor. And the rays of hope are obvious. His poetry covers various writings of Urdu literature. Maj. Syed Noor-ul-Hassan is the author of "Aks e Noor". In this book, he has tested many principles of Urdu literature. Your poetry has been tested on love virtual and glimpse of dream. you think Western Civilization greatly damaged Islamic civilization and culture. your poetry can be included in Urdu literature
The Paint Marks the Place: The Mural Art of Resistance in Oakland, California
No full textIn the context of both historical and current urban redevelopment schemes in Oakland, California that displace black, brown, and indigenous peoples, businesses, and communities, I examine the work of mural artists and activists to resist erasure and mark belonging. Specifically, this research explores the relationship between the practice of intentional community mural-making, projecting narratives of culture and resistance, and geographic concepts of place-making, and sense of belonging. The research was conducted through a critical feminist anti-colonial methodological process of artography. Through semi-structured in-depth interviews with artists, residents, and community activists, photography, archival media analysis and a case study of the Madre Maize (2012) mural by the Community Rejuvenation Project crew, I uncover how the process of mural-making is a means of place-making by allowing some of the most societally marginalized to author the landscapes in which they dwell, work, and live. This thesis argues that intentional community mural art is a means of counter monument, community justice, and an act of decolonization through embedding a decolonial aesthetic in the fabric of urban landscapes, uncovering hidden black, brown, and indigenous geographies and contributing to larger movements of social justice making
Measuring the Robustness of a Resource Allocation
No full textParallel and distributed systems may operate in an environment that undergoes unpredictable changes causing certain system performance features to degrade. Such systems need robustness to guarantee limited degradation despite fluctuations in the behavior of its component parts or environment. This research investigates the robustness of an allocation of resources to tasks in parallel and distributed systems. The main contributions are 1) a mathematical description of a metric for the robustness of a resource allocation with respect to desired system performance features against multiple perturbations in multiple system and environmental conditions, and 2) a procedure for deriving a robustness metric for an arbitrary system. For illustration, this procedure is employed to derive robustness metrics for three example distributed systems. Such a metric can help researchers evaluate a given resource allocation for robustness against uncertainties in specified perturbation parameters
Definition of a Robustness Metric for Resource Allocation
No full textParallel and distributed systems may operate in an environment that undergoes unpredictable changes causing certain system performance features to degrade. Such systems need robustness to guarantee limited degradation despite fluctuations in the behavior of its component parts or environment. This research investigates the robustness of an allocation of resources to tasks in parallel and distributed systems. The main contributions of this paper are (1) a mathematical description of a metric for the robustness of a resource allocation with respect to desired system performance features against perturbations in system and environmental conditions, and (2) a procedure for deriving a robustness metric for an arbitrary system. For illustration, this procedure is employed to derive robustness metrics for two example distributed systems. Such a metric can help researchers evaluate a given resource allocation for robustness against uncertainties in specified perturbation parameters
The robustness of resource allocation in parallel and distributed computing systems
No full textThis paper gives an overview of the material to be discussed in the invited keynote presentation by H. J. Siegel; it summarizes our research in [1]. Performing computing and communication tasks on parallel and distributed systems involves the coordinated use of different types of machines, networks, interfaces, and other resources. Decisions about how best to allocate resources are often based on estimated values of task and system parameters, due to uncertainties in the system environment. An important research problem is the development of resource management strategies that can guarantee a particular system performance given such uncertainties. We have designed a methodology for deriving the degree of robustness of a resource allocation - the maximum amount of collective uncertainty in system parameters within which a user-specified level of system performance (QoS) can be guaranteed. Our four-step procedure for deriving a robustness metric for an arbitrary system will be presented. We will illustrate this procedure and its usefulness by deriving robustness metrics for some example distributed systems
Robust resource allocations in parallel computing systems: Model and heuristics
No full textThis is an overview of the material to be discussed in the invited keynote presentation by H. J. Siegel; it summarizes our research in [2, 16, and 17]. The resources in parallel computer systems (including heterogeneous clusters) should be allocated to the computational applications in a way that maximizes some system performance measure. However, allocation decisions and associated performance prediction are often based on estimated values of application and system parameters. The actual values of these parameters may differ from the estimates; for example, the estimates may represent only average values, the models used to generate the estimates may have limited accuracy, and there may b
