This experimental work focuses on enhancement of the performance and combustion characteristics of a DICI engine by enriching the biodiesel with various levels of hydrogen gas supplement at the intake manifold. Safflo...
详细信息
The main objective of this paper is to be lowered to a minimum of delay and not to provide an early forecast of cancer of lung cancer in patients, but also and not to reduce the need for biopsy. In addition, it gives ...
The main objective of this paper is to be lowered to a minimum of delay and not to provide an early forecast of cancer of lung cancer in patients, but also and not to reduce the need for biopsy. In addition, it gives and comparisons between different algorithms for classification. Existing models use a CT scan to predict lung cancer but are also well equipped with sufficient data to predict precisely. The model was developed based on a support vector machine, which provides 92 % accuracy. Because it is required solutions, for to be increased right speed for prognosis of cancer of lung cancer. The proposed solution uses a set of data for classification and has approximately 300 observations. The model is developed for different algorithms for classification, such as arbitrary attendant’s vectors, K-nearest-neighbors, and Naive-Bayes are compared to a - great accuracy. It provides an early prognosis of cancer of lung cancer with high accuracy. Therefore, the proposed decision model based on Naïve Bayes achieved the highest degree of accuracy of 95.23%.
Present generation is not going to catch the values without teaching. We have to teach the val ues to this generation before they are caught by the bombarding of the new technological devices. Majority of society regu...
Present generation is not going to catch the values without teaching. We have to teach the val ues to this generation before they are caught by the bombarding of the new technological devices. Majority of society regulate and organize regular life. From a sociological perspective, individual and group values like honesty, sedulity, helpfulness to build with societal values to lead better life. Moral awareness should be endorsed to orient the progress in science and technology towards the welfare of mankind. Value education helps in developing character morality, spiritual values, truthfulness, punctuality, honesty. Value education impart the knowledge and skills in human beings about what is universally valuable and how to live in state of continuous happiness and prosperity. In India the students might face more complicated decision-making situation about issued involving values. Its highly necessary to inculcate values in out life specially in the budding minds because they are future of nation. Education without values cannot contribute any significant development of the country.
Phase Change Materials (PCMs) have emerged as a promising solution for efficient thermal energy storage and utilization in various applications. This research paper presents a comprehensive overview of PCM technology,...
Phase Change Materials (PCMs) have emerged as a promising solution for efficient thermal energy storage and utilization in various applications. This research paper presents a comprehensive overview of PCM technology, including its fundamental working principles, classification and different shapes of container used for PCM storage. The study investigates the optimal melting temperature of PCMs and explores various Thermal Energy Storage (TES) methods and their types. This paper discusses novel approaches to enhance the thermal performance of PCMs, such as incorporating high-conductivity materials, Nano-encapsulation, Composite formation, and Shape stabilization. These innovative techniques have shown great potential in enhancing efficiency of PCM-based TES systems . The information presented in this paper is an in-depth analysis of research papers published over the last five years (2019 to 2023). It is a valuable source for researchers seeking to stay current with the modern advancements in PCM technology and its applications. This research contributes to advancing sustainable and efficient thermal energy utilization by promoting a deeper understanding of PCM's capabilities and challenges.
This paper helps to make the created Twitter Data more understandable. It streams real-time tweets, or can fetch tweets from specific topics or keywords. It then analyses the data using a custom-written sentiment anal...
This paper helps to make the created Twitter Data more understandable. It streams real-time tweets, or can fetch tweets from specific topics or keywords. It then analyses the data using a custom-written sentiment analysis algorithm, and eventually displays the results with a series of dynamic *** data visualizations. It has a wide range of uses, for analyzing the effectiveness so for marketing campaign, to compare two competing topics.
Email plays an essential role in communication and its flexibility, simplicity, diversified types, and low cost of information in the modern world. Therefore handling out a large volume of emails takes are mark able a...
Email plays an essential role in communication and its flexibility, simplicity, diversified types, and low cost of information in the modern world. Therefore handling out a large volume of emails takes are mark able amount of human power and time. To quickly extract the named entities from an email requires an automated solution. So we proposed a tool to extract named entities from emails. This solution incorporates the latest technologies like NLP (Natural Language Processing) and IR (Information Retrieval). This would perform named entities extraction of email automatically organizes and notifies the user. The proposed mechanism can be used in many organizations. Named Entity Recognition (NER) will be a vital language processing tool for information retrieval from texts like newspapers, blogs, and emails. NER performs the classification of words and sensing the expression of text from unstructured data. Spa Cy may be a free, open-source python library for advanced language Processing. It is well known for production use and helps build the system that performs understanding of a text. It helps in information extraction, understanding the plans, and preprocesses the text for deep learning.
A deterministic computing system which can follow backward computations as well, is known as a reversible computing system. It is closely associated to physical reversibility. In a reversible computing system, a Rever...
A deterministic computing system which can follow backward computations as well, is known as a reversible computing system. It is closely associated to physical reversibility. In a reversible computing system, a Reversible Turing Machine is employed to study computational reversibility and computational complexity. To deal with vagueness in computation, the concept of fuzziness is introduced, which led to the emergence of Fuzzy Turing Machines in the field of fuzzy computations. In this paper, we define the Reversible Fuzzy Turing Machine and the fuzzy languages accepted by it and also derive the necessary and sufficient condition for the Fuzzy Turing Machine to be reversible, the necessary condition for the language to be reversible and study the closure property such as the union of family of reversible fuzzy recursive languages.
As the networking infrastructure is becoming complex, there is a parallel increase in the networking scenario to become more vulnerable to various types of sophisticated malicious attacks. This leads to the data and i...
As the networking infrastructure is becoming complex, there is a parallel increase in the networking scenario to become more vulnerable to various types of sophisticated malicious attacks. This leads to the data and information loss. The most feasible way to reduce the vulnerable and malicious attacks is by evaluating trust of the interacting agents in a network. The primary objective of this paper is to analyze the flooding attacks caused due to the communication protocols like TCP and UDP in software defined spine leaf topology. The trust analysis is done using Bayesian networks for a reliable communication network. The probability and the causal effect of the denial of service in the proposed distributed networking scenario are reasoned out. The trust analysis will help to increase the confidence over a dedicated communication at the time of malicious attack over the distributed network. This analysis will enable the software defined control plane to make a crucial and needed decision over its communication with other nodes during compromised security attack through communication protocols.
Over the last decade, blockchain has been considered an encouraging solution to secure distributed ledgers. Moreover, with the introduction of a pseudonymous payment method without a centralized database or authoritat...
详细信息
暂无评论