Uttar Pradesh, India, 1777 (Image 1 of 4) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: A map of the provinces of Delhi, Agrah, Oude, and Ellahabad : comprehending the countries lying between Delhi, and the Bengal Provinces, surveyed by Major James Rennell, Surveyor General to the Honourable East-India Company, and published by order of the court of directors of said company by Andrew Dury ; Wm. Haydon sculpt. It was published by Andrew Dury, Duke's Court, St. Martin's Lane in 1777. Scale [ca. 1:750,000]. This layer is image 1 of 4 total images of the four sheet source map, representing the northwest portion of the map. Covers primarily Uttar Pradesh, India.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Asia North Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, cities and other human settlements, forts, passes, fields of battle, territorial claims, and more. Relief shown pictorially. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Uttar Pradesh, India, 1777 (Image 2 of 4) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: A map of the provinces of Delhi, Agrah, Oude, and Ellahabad : comprehending the countries lying between Delhi, and the Bengal Provinces, surveyed by Major James Rennell, Surveyor General to the Honourable East-India Company, and published by order of the court of directors of said company by Andrew Dury ; Wm. Haydon sculpt. It was published by Andrew Dury, Duke's Court, St. Martin's Lane in 1777. Scale [ca. 1:750,000]. This layer is image 2 of 4 total images of the four sheet source map, representing the northeast portion of the map. Covers primarily Uttar Pradesh, India.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Asia North Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, cities and other human settlements, forts, passes, fields of battle, territorial claims, and more. Relief shown pictorially. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Uttar Pradesh, India, 1777 (Image 3 of 4) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: A map of the provinces of Delhi, Agrah, Oude, and Ellahabad : comprehending the countries lying between Delhi, and the Bengal Provinces, surveyed by Major James Rennell, Surveyor General to the Honourable East-India Company, and published by order of the court of directors of said company by Andrew Dury ; Wm. Haydon sculpt. It was published by Andrew Dury, Duke's Court, St. Martin's Lane in 1777. Scale [ca. 1:750,000]. This layer is image 3 of 4 total images of the four sheet source map, representing the southeast portion of the map. Covers primarily Uttar Pradesh, India.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Asia North Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, cities and other human settlements, forts, passes, fields of battle, territorial claims, and more. Relief shown pictorially. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Uttar Pradesh, India, 1777 (Sheet 4 of 4) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: A map of the provinces of Delhi, Agrah, Oude, and Ellahabad : comprehending the countries lying between Delhi, and the Bengal Provinces, surveyed by Major James Rennell, Surveyor General to the Honourable East-India Company, and published by order of the court of directors of said company by Andrew Dury ; Wm. Haydon sculpt. It was published by Andrew Dury, Duke's Court, St. Martin's Lane in 1777. Scale [ca. 1:750,000]. This layer is image 4 of 4 total images of the four sheet source map, representing the southwest portion of the map. Covers primarily Uttar Pradesh, India. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Asia North Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, cities and other human settlements, forts, passes, fields of battle, territorial claims, and more. Relief shown pictorially. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Games for groundwater governance: field experiments in Andhra Pradesh, India

Groundwater is a common-pool resource that is subject to depletion in many places around the world as a result of increased use of irrigation and water-demanding cash crops. Where state capacity to control groundwater use is limited, collective action is important to increase recharge and restrict highly water-consumptive crops. We present results of field experiments in hard rock areas of Andhra Pradesh, India, to examine factors affecting groundwater use. Two nongovernmental organizations (NGOs) ran the games in communities where they were working to improve watershed and water management. Results indicate that, when the links between crop choice and groundwater depletion is made explicit, farmers can act cooperatively to address this problem. Longer NGO involvement in the villages was associated with more cooperative outcomes in the games. Individuals with more education and higher perceived community social capital played more cooperatively, but neither gender nor method of payment had a significantly effect on individual behavior. When participants could repeat the game with communication, similar crop choice patterns were observed. The games provided an entry point for discussion on the understanding of communities of the interconnectedness of groundwater use and crop choice.

The legitimation of risk and Bt cotton: a case study of Bantala village in Warangal, Andhra Pradesh, India

This article explores Ulrich Beck’s theorisation of risk society through focusing on the way in which the risk of Bt cotton is legitimated by six cultivators in Bantala, a village in Warangal, Andhra Pradesh, in India. The fieldwork for this study was conducted between June 2010 and March 2011, a duration chosen to coincide with a cotton season. The study explores the experience of the cultivators using the ‘categories of legitimation’ defined by Van Leeuwen. These are authorisation, moral evaluation, rationalisation and mythopoesis. As well as permitting an exploration of the legitimation of Bt cotton by cultivators themselves within the high-risk context of the Indian agrarian crisis, the categories also serve as an analytical framework with which to structure a discourse analysis of participant perspectives. The study examines the complex trade-off, which Renn argues the legitimation of ambiguous risk, such as that associated with Bt technology, entails. The research explores the way in which legitimation of the technology is informed by wider normative conceptualisations of development. This highlights that, in a context where indebtedness is strongly linked to farmer suicides, the potential of Bt cotton for poverty alleviation is traded against the uncertainty associated with the technology’s risks, which include its purported links to animal deaths. The study highlights the way in which the wider legitimation of a neoliberal approach to development in Andhra Pradesh serves to reinforce the choice of Bt cotton, and results in a depoliticisation of risk in Bantala. The research indicates, however, that this trade-off is subject to change over time, as economic benefits wane and risks accumulate. It also highlights the need for caution in relation to the proposed extension of Bt technology to food crops, such as Bt brinjal (aubergine).

Risk definition and the struggle for legitimation: a case study of Bt cotton in Andhra Pradesh, India

This article explores the struggle for legitimation associated with the attempt to define the risk of Bt cotton, a genetically modified crop, in Andhra Pradesh, India. Beck asserts that, given the uncertainty associated with risk society, efforts to define risk are creating the need for a new political culture. This article argues that this political culture emerges from attempts to legitimate power within risk definition. This is examined using critical discourse analysis on interview excerpts with key figures in the Bt cotton debate. Legitimation is explored using the categories of legitimation developed by Van Leeuwen. These are (a) authorisation; (b) moral evaluation; (c) rationalisation; and (d) mythopoesis. The analysis highlights that the political culture which emerges in response to risk society is in a state of constant flux and contingent upon the ongoing struggle for legitimation with regard to the definition of risk.

Spectroscopic characterization of manganese minerals

Manganese minerals ardenite, alleghanyite and leucopoenicite originated from Madhya Pradesh, India, Nagano prefecture Japan, Sussex Country and Parker Shaft Franklin, Sussex Country, New Jersey respectively are used in the present work. In these minerals manganese is the major constituent and iron if present is in traces only. An EPR study of on all of the above samples confirms the presence of Mn(II) with g around 2.0. Optical absorption spectrum of the mineral alleghanyite indicates that Mn(II) is present in two different octahedral sites and in leucophoenicite Mn(II) is also in octahedral geometry. Ardenite mineral gives only a few Mn(II) bands. NIR results of the minerals ardenite, leucophoenicite and alleghanyite are due to hydroxyl and silicate anions which confirming the formulae of the minerals.

An Optimal Fuzzy Logic Controller tuned with Artificial Immune System

In this paper, a method for the tuning the membership functions of a Mamdani type Fuzzy Logic Controller (FLC) using the Clonal Selection Algorithm(CSA) a model of the Artificial Immune System(AIS) paradigm is examined. FLC's are designed for two problems, firstly the linear cart centering problem and secondly the highly nonlinear inverted pendulum problem. The FLC tuned by AIS is compared with FLC tuned by GA. In order to check the robustness of the designed PLC's white noise was added to the system, further, the masses of the cart and the length and mass of the pendulum are changed. The PLC's were also tested in the presence of faulty rules. Finally, Kruskal Wallis test was performed to compare the performance of the GA and AIS. An insight into the algorithms are also given by studying the effect of the important parameters of GA and AIS.

Quasi-based hierarchical clustering for land cover mapping using satellite images

This paper presents an improved hierarchical clustering algorithm for land cover mapping problem using quasi-random distribution. Initially, Niche Particle Swarm Optimization (NPSO) with pseudo/quasi-random distribution is used for splitting the data into number of cluster centers by satisfying Bayesian Information Criteria (BIC). Themain objective is to search and locate the best possible number of cluster and its centers. NPSO which highly depends on the initial distribution of particles in search space is not been exploited to its full potential. In this study, we have compared more uniformly distributed quasi-random with pseudo-random distribution with NPSO for splitting data set. Here to generate quasi-random distribution, Faure method has been used. Performance of previously proposed methods namely K-means, Mean Shift Clustering (MSC) and NPSO with pseudo-random is compared with the proposed approach - NPSO with quasi distribution(Faure). These algorithms are used on synthetic data set and multi-spectral satellite image (Landsat 7 thematic mapper). From the result obtained we conclude that use of quasi-random sequence with NPSO for hierarchical clustering algorithm results in a more accurate data classification.

Clustering using Levy Flight Cuckoo Search

In this paper, a comparative study is carried using three nature-inspired algorithms namely Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Cuckoo Search (CS) on clustering problem. Cuckoo search is used with levy flight. The heavy-tail property of levy flight is exploited here. These algorithms are used on three standard benchmark datasets and one real-time multi-spectral satellite dataset. The results are tabulated and analysed using various techniques. Finally we conclude that under the given set of parameters, cuckoo search works efficiently for majority of the dataset and levy flight plays an important role.

Spectral-spatial MODIS image analysis using swarm intelligence algorithms and region based segmentation for flood assessment

This paper discusses an approach for river mapping and flood evaluation based on multi-temporal time-series analysis of satellite images utilizing pixel spectral information for image clustering and region based segmentation for extracting water covered regions. MODIS satellite images are analyzed at two stages: before flood and during flood. Multi-temporal MODIS images are processed in two steps. In the first step, clustering algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are used to distinguish the water regions from the non-water based on spectral information. These algorithms are chosen since they are quite efficient in solving multi-modal optimization problems. These classified images are then segmented using spatial features of the water region to extract the river. From the results obtained, we evaluate the performance of the methods and conclude that incorporating region based image segmentation along with clustering algorithms provides accurate and reliable approach for the extraction of water covered region.

Bhopal state (reprint) /

Includes index.

Contribution to the ethnobotanical study of antidiabetic medicinal plants of the Central Middle Atlas region (Morocco)

An ethnobotanical survey of medicinal plants was carried out in the Central Middle Atlas in the years 2013 and 2014 to establish the catalog of medicinal plants used in traditional medicine in the treatment of diabetes. Thus, 1560 people were interviewed, using questionnaires. The latter enabled us to gather information on traditional healing practices of the local population including scientific name, French name, vernacular name, plant parts used , therapeutic indications , revenues and mode of administration. The results show that 76 medicinal species were inventoried in the study area. These plant species are included into 67 genus and 40 families. The most represented families are: Lamiaceae (12 species), Asteraceae and Brassicaceae species with 14 each. Of 76 medicinal species found in the region, four species are reported for the first time in the traditional treatment of diabetes in Morocco. They are Pistacia atlantica, Ptychotis verticillata, Anacyclus pyrethrum, Alyssum spinosum, Cistus albidus, Juniperus thurifera, Ephedra nebrodensis, Thymus algeriensis, Th. munbyanus, Th. zygis, Abelmoschus esculentus, Fraxinus augustifolia, Sorghum vulgare and, Eriobotrya japonica. The leaves are the most used organs (38%). The decoction is the dominant mode of preparation (50%) and administration is mostly for oral use (97%).

An analysis of the effectiveness of parliamentary questions in the Uttar Pradesh State Legislative Assembly (India)

Parliamentary questions are the most popular and visible tool for making the executive accountable to the legislature. However, their use, purpose and effectiveness vary in different countries. In this study, 4023 parliamentary questions asked in the Uttar Pradesh State Legislative Assembly were analysed. The results show that half of the total members of the Assembly used this device. Contrary to findings in the Australian parliamentary system, there was no evidence of ‘Dorothy Dix’ and party influence on parliamentary questions. Furthermore, 30% of the questions were aimed at seeking information and 70% pressed for action. The government provided the required information in 95% of the questions in the former category but only took action in 37% in the latter category. The study concludes that parliamentary questions serve as an effective legislative tool in the Uttar Pradesh Legislature