http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Vishnu Mohan Sreekumari,Shiekha Elizabeth John,Rajimol Thengumparambil Rajan,Maya Kesavan,Sajan Kurian,Padmalal Damodaran 한국지질과학협의회 2016 Geosciences Journal Vol.20 No.3
Sasthamkotta lake in the southwestern coast of India is the largest freshwater lake in the region. The lake has a water spread area of about 3.75 km2 and serves as a drinking water source for about seven lakh people in southern Kerala. Unfortunately, the lake is at the verge of severe degradation consequent to different kinds of human interferences. The Sasthamkotta lake receives water mainly from rainfall (2,350 mm/year) and surface run-off (3.33 million m3/ year). Apart from these, a significant quantity of water reaches the lake through underwater springs emerging from the Quaternary and Neogene aquifers as well. Rampant removal of construction grade sand using high power jet pumps from the Quaternary aquifers linking the lake with the adjoining river, over exploitation of lake water, unscientific engineering constructions, etc. are some of the externalities leading to degradation and ultimate drying up of the lake. The floodplain of the Kallada river, hosting the lake Sasthamkotta, was unaffected by sand extraction till early 1970’s. The results of the present study revealed that indiscriminate sand mining has turned floodplain area of about 3.57 km2 into fallow lands, during the past 3–4 decades. This together with the riverbed lowering due to instream sand mining has significantly reduced the groundwater replenishment of the lake system. The construction of embankment on the southern side of the lake has not only isolated the lake system from its natural settings, but has prevented the flood pulse contribution of monsoon waters to a considerable extent. The present paper examines in detail the pros and cons of the human induced environmental degradation of the Lake Sasthamkotta which is declared recently a Ramsar wetland of international importance. Based on the study, a set of recommendations are also drawn for improving the overall environmental quality of the Sasthamkotta lake in particular and the freshwater lakes in the coastal lands of densely populated tropics in general.
Vishnu G. Nair,Adarsh Rag S.,Jayalakshmi K. P.,Dileep M. V.,K. R. Guruprasad 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.7
In this paper, a dynamic workspace allocation methodology for coverage path planning using multiple robots in the presence of obstacles is presented. The entire workspace is initially partitioned using the Manhattan Voronoi partitioning method, without considering the obstacles present, and the robots execute Multi-Robot Simultaneous Exploration and Coverage (MRSimExCoverage) using the Spanning Tree Coverage (STC) algorithm and cover the workspace. A dynamic workspace re-allocation strategy to optimize the area covered by each robot, whenever obstacles are detected, so as to avoid certain obstacle-induced coverage issues is studied. Simulation experiments within the Matlab/V-rep environment are used to demonstrate and validate the performance of the proposed algorithm. Though the authors used the STC algorithm for path planning for demonstration, any suitable coverage algorithm may be used.
2D-VPC: An Efficient Coverage Algorithm for Multiple Autonomous Vehicles
Vishnu G. Nair,K. R. Guruprasad 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.8
In this paper, we address a problem of multi-robotic coverage, where an area of interest is covered by multiple sensors, each mounted on an autonomous vehicle such as an aerial or a ground mobile robot. The area of interest is first decomposed into grids of equal size and then partitioned into Voronoi cells. Each robot/sensor is assigned the task of covering the corresponding Voronoi cell. We propose an optimal gridding size and partitioning methodology that eliminate the coverage inefficiencies induced by the partitioning process. We carried out experiments using multiple quadcopters and mobile robots to demonstrate and validate the proposed multi-sensor coverage strategy.
Rule of Law Indicators in Context: An Empirical Evaluation of GTZ Legal Advisory in Beijing
Vishnu Sridharan (사) 이준국제법연구원 2009 Journal of East Asia and International Law Vol.2 No.2
Much has been written about the general ability (or lack thereof) of international development organizations to effectively monitor and evaluate the impact of their Rule of Law projects on the ground. However, less research has focused on particular development organizations’methods of project evaluation, the politics behind them and their strengths and weaknesses. This paper offers such an analysis of the evaluation methods of GTZ Legal Advisory in Beijing. After describing the work of GTZ in general and its Legal Advisory in particular, the paper offers a detailed evaluation of the tools that it uses to gauge the impact of its projects on the ground. What is gained from such a particularized analysis is a deeper understanding of both the donor politics and organizational tradeoffs inherent in monitoring and evaluation decisions, two factors often given insufficient attention in more theoretical discussions.
Active Relearning for Robust On-Road Vehicle Detection and Tracking
Vishnu K.Narayanan,Carl D. Crane, III 제어로봇시스템학회 2013 제어로봇시스템학회 국제학술대회 논문집 Vol.2013 No.10
This paper aims to introduce a novel robust real time system capable of rapidly detecting and tracking vehicles in a video stream using a monocular vision system. The framework used for this purpose is an actively relearned implementation of the Haar-like feature based Viola-Jones classifier capable of classifying image frame regions as a vehicle or non-vehicle. A passively trained supervised system (based on Adaboost) is initially built by cascading a set of weak classifiers working with Rectangular Haar-like features. An actively learned model is then generated from the initial passive classifier by querying misclassified instances when the model is evaluated on an independent dataset. This classifier is integrated with a Lucas-Kanade Optical Flow Tracker and an empirical distance estimation algorithm to evolve the system into a complete real-time detection and tracking system. The built model is then evaluated extensively on static as well as real world data and results are presented.
Monostotic Paget Disease of the Lumbar Vertebrae: A Pathological Mimicker
Vishnu Senthil,Satish Balaji 대한척추신경외과학회 2018 Neurospine Vol.15 No.2
Paget disease is a metabolic disorder involving abnormal bone turnover that consists of 3 phases: the initial lytic phase, the intermediate mixed phase, and the chronic sclerotic phase. Paget disease mostly presents as polyostotic or monostotic lesions of the spine, and is rare on the Indian subcontinent. We present a case of isolated Paget disease of the lumbar third vertebra, which was confirmed only at biopsy. The patient presented with chronic low backache with a developing neurological deficit. We managed the patient with posterior spinal stabilisation, using pedicular screws and vertebroplasty of the collapsed vertebrae to regain the height. Upon the diagnosis of Paget disease, the patient was treated with calcitonin and bisphosphonates for 3 months, along with regular monitoring of alkaline phosphatase levels. Through this case, we hope to emphasize that Paget disease should be considered in the differential diagnosis of lytic lesions. Additionally, the alkaline phosphatase level in this patient was high-normal, which was an aspect of the role of Paget disease as a mimicker. Confirmatory biopsy is mandatory in all lesions.