Diagnóstico de fallas en computación móvil usando TwinSVM

Introduction: Mobile computing systems (MCS) comes up with the challenge of low communication bandwidth and energy due to the mobile nature of the network. These features sometimes may come up with the undesirable behaviour of the system that eventually affects the efficiency of the system. Problem: Fault tolerance in MCS will increase the efficiency of the system even in the presence of faults. Objective: The main objective of this work is the development of the Monitoring Framework and Fault Detection and Classification. Methodology: For the Node Monitoring and for the detection and classification of faults in the system a neighbourhood comparison-based technique has been proposed. The proposed framework uses Twin Support Vector Machine (TWSVM) algorithm has been applied to build classifier for fault classification in the mobile network. Results: The proposed system has been compared with the existing techniques and has been evaluated towards calculating the detection accuracy, latency, energy consumption, packet delivery ratio, false classification rate and false positive rate. Conclusion: The proposed framework performs better in terms of all the selected parameters.Introducción: este artículo es el resultado de la investigación “Diagnóstico de fallas en la computación móvil usando TwinSVM” desarrollada en la Universidad Técnica I.K Gujral Punjab en Punjab, India en 2021.Problema: dado que los recursos en los sistemas informáticos móviles son limitados y un sistema tiene un ancho de banda, energía y movilidad de nodos limitados, el comportamiento deseado de la red puede cambiar si hay fallas.Objetivo: para lograr la tolerancia a fallas, de modo que un sistema móvil pueda operar incluso en presencia de fallas, se implementó un enfoque de dos temporizadores en el marco de detección, que luego se mejoró y perfeccionó con el uso del clasificador TwinSVM. Este clasificador ayuda a identificar nodos atípicos, lo que hace que el enfoque sea más tolerante a fallas.Metodología: el marco de monitoreo clasifica el nodo detectado como normal, defectuoso o parcialmente de-fectuoso, iniciando un temporizador de verificación de latidos y otro temporizador de verificación de relevancia en caso de que el nodo no responda al primer temporizador, que se prueba más usando TwinSVM, que mejora su eficiencia mediante la detección de valores atípicos.Resultados: el marco propuesto funciona mejor en términos de precisión de detección, consumo de energía, latencia y relación de caída de paquetes, todos los cuales han sido mejorados.Conclusión: el diagnóstico de fallas que utiliza el clasificador de aprendizaje automático TwinSVM funciona mejor en términos de falsas alarmas y tasas de falsos positivos y es adecuado para proporcionar tolerancia a fallas en sistemas informáticos móviles.Originalidad: a través de esta investigación, se ha desarrollado una versión única de detección de fallas en computación móvil utilizando un enfoque basado en clasificadores.Limitaciones: la falta de otras técnicas de detección de fallas cae dentro de la clasificación de fallas

Structural review of relics tourism by text mining and machine learning

Purpose: The objective of the paper is to find trends of research in relic tourism-related topics. Specifically, this paper uncovers all published studies having latent issues with the keywords "relic tourism" from the Web of Science database. Methods: A total of 109 published articles (2002-2021) were collected related to "relic tourism." Machine learning tools were applied. Network analysis was used to highlight top researchers in this field, their citations, keyword clusters, and collaborative networks. Text analysis and Bidirectional Encoder Representation from Transformer (BERT) of artificial intelligence model were used to predict text or keyword-based topic reference in machine learning. Results: All the papers are published basically on three primary keywords such as "!relics," "culture," and "heritage." Secondary keywords like "protection" and "development" also attract researchers to research this topic. The co-author network is highly significant for diverse authors, and geographically researchers from five countries are collaborating more on this topic. Implications: Academically, future research can be predicated with dense keywords. Journals can bring more special issues related to the topic as relic tourism still has some unexplored areas

Decline in subarachnoid haemorrhage volumes associated with the first wave of the COVID-19 pandemic

BACKGROUND: During the COVID-19 pandemic, decreased volumes of stroke admissions and mechanical thrombectomy were reported. The study\u27s objective was to examine whether subarachnoid haemorrhage (SAH) hospitalisations and ruptured aneurysm coiling interventions demonstrated similar declines. METHODS: We conducted a cross-sectional, retrospective, observational study across 6 continents, 37 countries and 140 comprehensive stroke centres. Patients with the diagnosis of SAH, aneurysmal SAH, ruptured aneurysm coiling interventions and COVID-19 were identified by prospective aneurysm databases or by International Classification of Diseases, 10th Revision, codes. The 3-month cumulative volume, monthly volumes for SAH hospitalisations and ruptured aneurysm coiling procedures were compared for the period before (1 year and immediately before) and during the pandemic, defined as 1 March-31 May 2020. The prior 1-year control period (1 March-31 May 2019) was obtained to account for seasonal variation. FINDINGS: There was a significant decline in SAH hospitalisations, with 2044 admissions in the 3 months immediately before and 1585 admissions during the pandemic, representing a relative decline of 22.5% (95% CI -24.3% to -20.7%, p\u3c0.0001). Embolisation of ruptured aneurysms declined with 1170-1035 procedures, respectively, representing an 11.5% (95%CI -13.5% to -9.8%, p=0.002) relative drop. Subgroup analysis was noted for aneurysmal SAH hospitalisation decline from 834 to 626 hospitalisations, a 24.9% relative decline (95% CI -28.0% to -22.1%, p\u3c0.0001). A relative increase in ruptured aneurysm coiling was noted in low coiling volume hospitals of 41.1% (95% CI 32.3% to 50.6%, p=0.008) despite a decrease in SAH admissions in this tertile. INTERPRETATION: There was a relative decrease in the volume of SAH hospitalisations, aneurysmal SAH hospitalisations and ruptured aneurysm embolisations during the COVID-19 pandemic. These findings in SAH are consistent with a decrease in other emergencies, such as stroke and myocardial infarction

Agribusiness: A Great Career Opportunity for Talented People

An Agribusiness boom is underway in India, and it needs big talent to drive its growth. Growth in agricultural productivity will build incomes and assets, and although somewhat cyclical, at the macro level, agriculture in India will inherently be recession proof over the long term. The greatest achievement for India will come from sustained self-sufficiency in food. Food consumption is leading the boom in agriculture. India is expected to overtake China as the world’s largest nation. With the world’s youngest population, food and Agri sector is set to triple by 2020 from US $328 to US$895 Billion in just six years from now. Huge opportunities in Agribusiness are attracting investments in primary production as well as on the output side in food processing and distribution. Organized retail is growing at 35% CAGR and so are many input industries, all of whom are demanding more capable people to manage growth. This is resulting in a shortage of trained agribusiness talent. Recognizing the opportunities that will continue to grow in the future, leading corporates are reinventing their induction, retention and leadership plans for expanding their Agribusiness talent pool in India. The article provides insights and opportunities that are attracting talent to agribusiness

Tongue Flap for Closure of Anterior Palate Fistula

12 cases of anterior palate fistula larger than 5 mm in diameter were treated by anteriorly based dorsal, midline mucomuscular tongue flap without any fixation of tongue or jaw. The results obtained during the course of study support the method for the closure of large anterior palate fistula following cleft palate surgery

Gangliocytic Paraganglioma of Duodenum

Gangliocytic paragangliomas are rare benign tumors which are usually encountered in the second portion of the duodenum. Histogenesis of these tumors is incompletely understood. Patients usually present with upper gastrointestinal bleeding. The endoscopic features of gangliocytic paraganglioma do not differ from those of other submucosal tumors. Therefore, they can be diagnosed histologically by the presence of epithelioid, spindle, and ganglion cells, which is similar to that observed for paraganglioma. We herein report a case of gangliocytic paraganglioma due to the rarity of the lesion and the characteristic histopathologic findings

Blockchain Propels Tourism Industry—An Attempt to Explore Topics and Information in Smart Tourism Management through Text Mining and Machine Learning

Blockchain and immersive technology are the pioneers in bringing digitalization to tourism, and researchers worldwide are exploring many facets of these techniques. This paper analyzes the various aspects of blockchain technology and its potential use in tourism. We explore high-frequency keywords, perform network analysis of relevant publications to analyze patterns, and introduce machine learning techniques to facilitate systematic reviews. We focused on 94 publications from Web Science that dealt with blockchain implementation in tourism from 2017 to 2022. We used Vosviewer for network analysis and artificial intelligence models with the help of machine learning tools to predict the relevance of the work. Many reviewed articles mainly deal with blockchain in tourism and related terms such as smart tourism and crypto tourism. This study is the first attempt to use text analysis to improve the topic modeling of blockchain in tourism. It comprehensively analyzes the technology’s potential use in the hospitality, accommodation, and booking industry. In this context, the paper provides significant value to researchers by giving an insight into the trends and keyword patterns. Tourism still has many unexplored areas; journal articles should also feature special studies on this topic