12 research outputs found
An Analysis of India-South Korea Trade Relation
This research paper is a comprehensive study of trade relations between India and South Korea especially after their CEPA Agreement in 2009. This paper highlights the strong industries of both countries in terms of mutual trade with the trading pattern in the last decade. The paper also highlights the marginalized sectors that have the capacity to benefit from trading agreements with barriers that are holding the prospective achievements that can be achieved in this Free Trade Agreement. This Paper Also highlights the prospective areas of cooperation between both countries that can multiply the achievements under the agreement
On Consistent and Efficient Graph Data Management
This dissertation describes techniques to store and process large graphs in modern datacenters with high performance and strong consistency guarantees. Graph-structured data is ubiquitous: social networks, content networks, cryptocurrency transaction histories, and business analytics routinely store and manipulate large graphs. For reasons of scale, both in terms of data size as well as workload volume, it is necessary to store such large graphs in a distributed fashion. Moreover, graph workloads have unique characteristics, such as long running read queries interspersed with shorter updates, that naturally lead to a programming interface consisting of a hybrid of transactions and analytics. Providing efficient and consistent access to graph-structured data is a significant challenge. This dissertation makes three contributions. First, it describes a novel technique to order distributed transactions by introducing the concept of an ordering service. An ordering service seeks to simplify the design of modern distributed systems by factoring out the task of ordering from the core system into a separate service. Second, it details techniques that scale up the performance of a centralized ordering service by combining it with a lightweight timestamping mechanism. Third, it describes a full implementation of Weaver, a new distributed, transactional graph store that includes mechanisms for practical and efficient graph data management, such as dynamic resharding of graph partitions and caching of query results. Overall, these techniques lead to a scalable and consistent graph store that is capable of supporting modern distributed applications with high performance
Twenty-and-a-half syndrome: a case report
Abstract Background In the list of named numerical neuro-ophthalmological syndromes, such as one-and-a-half syndrome and others, we report for the first time twenty-and-a-half syndrome, which is characterized by one-and-a-half syndrome with bilateral seventh and right fifth nerve palsy (1.5 + 7 + 7 + 5 = 20.5) in a patient with ischemic stroke. Case presentation A 45-year-old Asian Hindu woman presented with vomiting and imbalance of 1 day’s duration. She had left-sided ataxic hemiparesis with one-and-a-half syndrome with bilateral seventh and right fifth nerve palsy. Magnetic resonance imaging of her brain revealed acute non-hemorrhagic infarct in the right posterolateral aspect of pons and medulla, with normal brain vessels angiography. We described her disorder as twenty-and-a-half syndrome. She was put on antiplatelet therapy. Conclusions Twenty-and-a-half syndrome is reported for the first time. It is due to posterior circulation stroke; in our case, it was due to lacunar infarcts in the pons and medulla, manifesting as one-and-a-half syndrome with bilateral seventh and right fifth nerve palsy
Review of Structural Health Monitoring Techniques in Pipeline and Wind Turbine Industries
There has been enormous growth in the energy sector in the new millennium, and it has enhanced energy demand, creating an exponential rise in the capital investment in the energy industry in the last few years. Regular monitoring of the health of industrial equipment is necessary, and thus, the concept of structural health monitoring (SHM) comes into play. In this paper, the purpose is to highlight the importance of SHM systems and various techniques primarily used in pipelining industries. There have been several advancements in SHM systems over the years such as Point OFS (optical fiber sensor) for Corrosion, Distributed OFS for physical and chemical sensing, etc. However, these advanced SHM technologies are at their nascent stages of development, and thus, there are several challenges that exist in the industries. The techniques based on acoustic, UAVs (Unmanned Aerial Vehicles), etc. bring in various challenges, as it becomes daunting to monitor the deformations from both sides by employing only one technique. In order to determine the damages well in advance, it is necessary that the sensor is positioned inside the pipes and gives the operators enough time to carry out the troubleshooting. However, the mentioned technologies have been unable to indicate the errors, and thus, there is the requirement for a newer technology to be developed. The purpose of this review manuscript is to enlighten the readers about the importance of structural health monitoring in pipeline and wind turbine industries