876 research outputs found
Incidence and Histopathological Study of Xanthomonas axonopodis pv. vesicatoria (Doidge) Dye in Chilli (Capsicum spp.) Seeds in Western Rajasthan
Bacterial leaf spot is a destructive disease in Rajasthan caused by Xanthomonas axonopodis pv. vesicatoria (Doidge) Dye. A field and market survey was conducted for the study of incidence and location. Dry seed examination of 103 seed samples of chilli (Capsicum spp.) belonging to 16 districts of Rajasthan that revealed a 10–100% incidence of Xanthomonas axonopodis pv. vesicatoria (XAV) on Tween-80 medium. Two naturally infected seed samples of chilli carrying a 100% incidence of XAV were selected and categorized into asymptomatic (06.25–94.25%), moderately discolored (01.75–42%), and heavily discolored (01.25–27.75%) seeds. The heavily discolored seeds showed shriveled, water-soaked symptoms on their surface, and on bisecting such types of infected seeds, the embryo and endosperm showed necrosis and browning. The pathogen was found confined to the outer seed coat layer, particularly at the ramnent of funiculus in a few asymptomatic seeds. In moderately discolored seeds, the pathogen was found in the seed coat and the space in between the seed coat and the endosperm. It colonized all the seed components, including embryo and endosperm, in heavily discolored seeds. The pathogen caused necrosis, the formation of lytic cavities, a reduction in cell contents, and aggregation of the bacterial cells. The pathogen was found to be extra-as well as intra-embryonic
Story of the Story-Teller: A Conversation with Ramendra Kumar
Ramendra Kumar (Ramen) is an award-winning writer, storyteller and inspirational speaker with 42 books to his name. Ramen’s writings have been published by many of the leading publishers in the county and translated into 30 languages. They have found a place in several textbooks and anthologies. He has written across all genres ranging from picture books to adult fiction, satire, poetry, travelogues, biographies and on issues related to parenting and relationships. He has been invited to literary festivals held in Denmark, Greece, Sharjah, Sri Lanka as well Indian events including the prestigious Jaipur Litfest to conduct storytelling sessions and creative writing workshops. He has also been empanelled by Pearson India Education Services as well as several schools to conduct workshops. He was nominated as a Jury Member for the Best Children’s Author Category of The Times of India’s ‘Women AutHer’ Awards 2020. Many of his stories have been showcased by popular audio streaming, apps both within and outside the country, such as Spotify, Gaatha, Talking Stories Radio – London et al.
An Engineer & an MBA, Ramen was serving as the General Manager (Corporate Communications), SAIL, Rourkela Steel Plant, when he took Voluntary Retirement to pursue his passion, in August 2020. To know more about the writer, you can visit his website www.ramendra.in & his page on Wikipedia. Dr. Sagar Kumar Sharma interviews the author and unfolds the pages of his life.
 
Interview with Lakshmi Raj Sharma, Author of The Tailor’s Needle
Interview with Indian writer Lakshmi Raj Sharma, author of 'The Tailor's needle
A Novel Model-Driven Framework for Software and System Testing
One of the oldest yet still not satisfactorily solved problems of reusing existing software components is the unexpected behaviour of the components in component-based software. The reason is that these components are adequately tested for the present situation, that is, within the context they are supposed to be deployed at the moment, but hardly take into account all potentially possible contexts in which they might be deployed in the future. Thus, we must test a component for the context in which it is being reused. We propose an MDA-based framework to perform context-dependent testing of a component (MD-CDT). In MD-CDT, we model the component's usage, in the component-based software, using use cases and interaction diagrams. The test cases for context-dependent testing of the component are automatically generated from these scenarios using a MDA-based tool. We then evaluate the adequacy of these test cases by comparing them with the test suite that component developer had used to perform component testing at the time of component development which is provided as metadata. This comparison identifies weaknesses of component testing which assist us in devising test cases to test the component's functionality which was not fully tested during component testing. Finally, we test the component for the new context by executing the enriched test suite. This approach is novel in that it uses the test suite, which was executed by component developer, to determine the adequacy of the component testing. Another novelty of this approach is the use of the model-driven technology for performing context-dependent testing of components which makes our framework portable, interoperable and maintainable. We provide a prototype implementation of MD-CDT. We evaluate MD-CDT and the prototype tool on Lucene search engine.</p
A Novel Architecture for Deep Web Crawler
A traditional crawler picks up a URL, retrieves the corresponding page and extracts various links, adding them to the queue. A deep Web crawler, after adding links to the queue, checks for forms. If forms are present, it processes them and retrieves the required information. Various techniques have been proposed for crawling deep Web information, but much remains undiscovered. In this paper, the authors analyze and compare important deep Web information crawling techniques to find their relative limitations and advantages. To minimize limitations of existing deep Web crawlers, a novel architecture is proposed based on QIIIEP specifications (Sharma & Sharma, 2009). The proposed architecture is cost effective and has features of privatized search and general search for deep Web data hidden behind html forms.</p
A Novel Architecture for Deep Web Crawler
A traditional crawler picks up a URL, retrieves the corresponding page and extracts various links, adding them to the queue. A deep Web crawler, after adding links to the queue, checks for forms. If forms are present, it processes them and retrieves the required information. Various techniques have been proposed for crawling deep Web information, but much remains undiscovered. In this paper, the authors analyze and compare important deep Web information crawling techniques to find their relative limitations and advantages. To minimize limitations of existing deep Web crawlers, a novel architecture is proposed based on QIIIEP specifications (Sharma & Sharma, 2009). The proposed architecture is cost effective and has features of privatized search and general search for deep Web data hidden behind html forms. </jats:p
The Federal Approach to FiscalDecentralisation: Conceptual Contours for Policy Makers
Chanchal Kumar Sharma,in his paper demonstrates that in order for fiscal decentralisation to be effective, it must be approached federally. A federal approach is not a decentralised approach but a dynamically balanced approach; one that constantly keeps on adjusting the contrasting forces of centralisation and decentralisation to create a system that can ensure good governance in accordance with the rapidly changing global and local scenario. According to the author, the good governance of the present time has to be federally flexible and dynamically decentralised and institutions of fiscal federalism are crucial for achieving such a dynamic equilibrium. Fiscal decentralisation cannot be detached from the broader principles of fiscal federalism if it is to be successful, irrespective of the fact of whether it is being carried out in a federal or non-federal country. He argues that too much decentralisation or an overly strong central federal government precludes the survival of a constitutional federal state.Federalism; Fiscal Decentralization; centralization
The Federal Approach to FiscalDecentralisation: Conceptual Contours for Policy Makers
Chanchal Kumar Sharma,in his paper demonstrates that in order for fiscal decentralisation to be effective, it must be approached federally. A federal approach is not a decentralised approach but a dynamically balanced approach; one that constantly
keeps on adjusting the contrasting forces of centralisation and
decentralisation to create a system that can ensure good governance in
accordance with the rapidly changing global and local scenario.
According to the author, the good governance of the present time has to
be federally flexible and dynamically decentralised and institutions of
fiscal federalism are crucial for achieving such a dynamic equilibrium.
Fiscal decentralisation cannot be detached from the broader principles
of fiscal federalism if it is to be successful, irrespective of the fact of
whether it is being carried out in a federal or non-federal country. He
argues that too much decentralisation or an overly strong central federal
government precludes the survival of a constitutional federal state
Efficient Use of Data Centres - Factors Affecting Service Availability in Large Organisations based on IT and Data Centre Selection
IT services are an increasingly critical part of conducting business and everyday life, the IT systems and data centres that host them are also improving. The relationship between how IT systems are designed and where they are placed between an array of different data centre options makes it a challenge to plan for appropriate levels of uptime for the services being provided. The current IT landscape provides organisations to target required availability of services in an effort to reduce costs and waste while meeting there required service levels. However, reference architectures for designing IT services often fail to take the data centre into account, while the design standards of data centres typically only take the power and cooling specifications into consideration and not the configuration of the IT infrastructure or the nature of the services they host. This paper shows that by spreading a highly available IT system between data centres of various tier ratings, as opposed to placing the same highly available IT system within a standalone data centre, superior levels of service availability can be achieved while potentially utilising lower cost of data centres
Anomaly-Based DNN Model for Intrusion Detection in IoT and Model Explanation: Explainable Artificial Intelligence
IoT has gained immense popularity recently with advancements in technologies and big data. IoT network is dynamically increasing with the addition of devices, and the big data is generated within the network, making the network vulnerable to attacks. Thus, network security is essential, and an intrusion detection system is needed. In this paper, we proposed a deep learning-based model for detecting intrusions or attacks in IoT networks. We constructed a DNN model, applied a filter method for feature reduction, and tuned the model with different parameters. We also compared the performance of DNN with other machine learning techniques in terms of accuracy, and the proposed DNN model with weight decay of 0.0001 and dropout rate of 0.01 achieved an accuracy of 0.993, and the reduced loss on the NSL-KDD dataset having five classes. DL models are a black box and hard to understand, so we explained the model predictions using LIME.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Cyber Securit
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