Socio-economic and Environmental Perspectives of Sustainable Watershed Eco-System in Union Territory of Pondicherry

The study conducted in the Karaikal region of the Union Territory of Pondicherry during 2004-05 has made a comparison of watershed and conventional systems. The crop diversification index has been found 0.28 in watershed and 0.32 in the conventional system. The study has revealed that nearly all the farmers in the watershed and only 40 per cent in the conventional system apply organic fertilizers. Moreover, farmers apply more fertilizers in the conventional (235 kg/ha) than watershed (210 kg/ha) system. The index of yield stability for all the crops has been found to be 0.98 in the watershed and 0.84 in the conventional system. The gross return has been found higher by 11.65 per cent, and net return by 32.18 per cent in the watershed than the conventional system. The input self-sufficiency ratio has been found to be 0.52 in the watershed and 0.47 in the conventional system. The analysis has indicated that if the agricultural income were considered, there has been no significant variation in food security in the two systems. The analysis has further revealed that there is a potential in promoting watershed system of farming for which it is necessary to devise policies that will provide incentives to watershed farmers both directly and indirectly. Until effective biological measures of soil fertilization are introduced, polices could be adopted to promote the application of biological and chemical fertilizers in a balanced way, so as to maintain soil structure and sustain or increase crop yields.Agricultural and Food Policy,

Reachability under Contextual Locking

The pairwise reachability problem for a multi-threaded program asks, given control locations in two threads, whether they can be simultaneously reached in an execution of the program. The problem is important for static analysis and is used to detect statements that are concurrently enabled. This problem is in general undecidable even when data is abstracted and when the threads (with recursion) synchronize only using a finite set of locks. Popular programming paradigms that limit the lock usage patterns have been identified under which the pairwise reachability problem becomes decidable. In this paper, we consider a new natural programming paradigm, called contextual locking, which ties the lock usage to calling patterns in each thread: we assume that locks are released in the same context that they were acquired and that every lock acquired by a thread in a procedure call is released before the procedure returns. Our main result is that the pairwise reachability problem is polynomial-time decidable for this new programming paradigm as well. The problem becomes undecidable if the locks are reentrant; reentrant locking is a \emph{recursive locking} mechanism which allows a thread in a multi-threaded program to acquire the reentrant lock multiple times.Comment: A preliminary version appears in TACAS 201

Having Your Cake and Eating It Too: Autonomy and Interaction in a Model of Sentence Processing

Is the human language understander a collection of modular processes operating with relative autonomy, or is it a single integrated process? This ongoing debate has polarized the language processing community, with two fundamentally different types of model posited, and with each camp concluding that the other is wrong. One camp puts forth a model with separate processors and distinct knowledge sources to explain one body of data, and the other proposes a model with a single processor and a homogeneous, monolithic knowledge source to explain the other body of data. In this paper we argue that a hybrid approach which combines a unified processor with separate knowledge sources provides an explanation of both bodies of data, and we demonstrate the feasibility of this approach with the computational model called COMPERE. We believe that this approach brings the language processing community significantly closer to offering human-like language processing systems.Comment: 7 pages, uses aaai.sty macr

Development of a scalable generic platform for adaptive optics real time control

The main objective of the present project is to explore the viability of an adaptive optics control system based exclusively on Field Programmable Gate Arrays (FPGAs), making strong use of their parallel processing capability. In an Adaptive Optics (AO) system, the generation of the Deformable Mirror (DM) control voltages from the Wavefront Sensor (WFS) measurements is usually through the multiplication of the wavefront slopes with a predetermined reconstructor matrix. The ability to access several hundred hard multipliers and memories concurrently in an FPGA allows performance far beyond that of a modern CPU or GPU for tasks with a well defined structure such as Adaptive Optics control. The target of the current project is to generate a signal for a real time wavefront correction, from the signals coming from a Wavefront Sensor, wherein the system would be flexible to accommodate all the current Wavefront Sensing techniques and also the different methods which are used for wavefront compensation. The system should also accommodate for different data transmission protocols (like Ethernet, USB, IEEE 1394 etc.) for transmitting data to and from the FPGA device, thus providing a more flexible platform for Adaptive Optics control. Preliminary simulation results for the formulation of the platform, and a design of a fully scalable slope computer is presented.Comment: Paper presented as part of SPIE ICOP 2015 Conference Proceeding

Test of Convergence in Agricultural Factor Productivity: A Semiparametric Approach

We tested for club convergence in U.S. agricultural total factory productivity using a sigma convergence test. We used the same club of states as used by McCunn and Huffman as well as different states within 10 clubs identified by the cluster analysis. Results showed convergence was evident only in a few club groups. Clusters group identified using a statistical method identified only converging clubs. Variables affecting total factor productivity among states were identified using parametric, semiparametric and nonparametric methods. Semiparametric and nonparametric methods gave a better fit than a parametric method as indicated by the specification test. Our results indicated that health care expenditure, public research and extension investment, and private expenditure are important variables impacting total factor productivity differences across states.Clubs, sigma convergence, cluster analysis, semiparametric and nonparametric methods, Productivity Analysis, Research Methods/ Statistical Methods,