LOW ALTITUDE AIRSHIPS FOR SEAMLESS MOBILE COMMUNICATION IN AIR TRAVEL

The Aviation Administration policy prohibits the use of mobile phones in Aircraft during transition for the reason it may harm their communication system due to Electromagnetic interference. In case the user wants to access cellular network at higher altitudes, base station access is a problem. Large number of channels are allocated to a single user moving at high speed by various Base Stations in the vicinity to service the request requiring more resources. Low Altitude Platforms (LAPs) are provided in the form of Base stations in the Airships with antennas projected upwards which has direct link with the Ground Station. LAPs using LongEndurance Multi-Intelligence Vehicle (LEMVs) equipped with an engine for mobility and stable positioning against rough winds are utilized. This paper proposes a system that allows the passengers to use their mobiles in Aircraft using LAPs as an intermediate system between Aircraft and Ground station. As the Aircraft is dynamic, it has to change its link frequently with the Airships, MANETs using AODV protocol is established in the prototype using NS2 to provide the service and the results are encouraging

Dynamic Adaptive Control of Mobile Robot UsingRBF Networks

In this paper, an adaptive neuro-control systemwith two levels is proposed for the motion control of anonholonomic mobile robot. In the first level, a PD controller is designed to generate linear and angular velocities, necessary to tracka reference trajectory. In the second level, a neural network converts the desired velocities, provided by the first level, intoa torque control. The advantage of the control approach is that, no knowledge about the dynamic model is required, and no synaptic weight changing is needed in presence of robot’s parameter’s variation (mass or inertia).By introducing appropriate Lyapunovfunctions asymptotic stability of state variables and stability of system is guaranteed. The tracking performance of neural controller under disturbances is compared with PD controller. Sinusoidal trajectory and lamniscate trajectories are considered for this comparison

Effect of different modes of pollination on yield parameters of summer squash (Cucurbita pepo L.) in India

Effect of different modes of pollination, viz., without insect pollination, hand-pollination, open-pollination and open-pollination + hand-pollination on yield parameters of 4 summer squash (Cucurbita pepo L.) hybrids viz., Parikrama, Chandra, Chamatkar and Gold Queen was studied at Research Farm of the Department of Entomology, CCS Haryana Agricultural University, Hisar during 2014. Irrespective of different hybrids, the treatment openpollination + hand-pollination and open-pollination produced the maximum number of fruits per plant (73.50 and 71.25%, respectively) followed by hand-pollination (59.08%) and no fruits were observed (0% fruit set) under without insect pollination treatment. Average fruit weight, fruit polar diameter and equatorial diameter were maximum (135.30 g, 3.74 cm and 3.47 cm, respectively) under open-pollination + hand-pollination, while these were minimum (94.81 cm, 2.14cm and 2.48 cm, respectively) under hand-pollination treatment. These results indicate that honey bees as well as wild pollinators are utmost essential for pollination of summer squash flowers and thus increasing fruit size and yield. Therefore pollinators conservation practices should be followed in summer squash growing areas for getting higher yield and returns

Discriminating neutrino mass models using Type II seesaw formula

In this paper we propose a kind of natural selection which can discriminate the three possible neutrino mass models, namely the degenerate, inverted hierarchical and normal hierarchical models, using the framework of Type II seesaw formula. We arrive at a conclusion that the inverted hierarchical model appears to be most favourable whereas the normal hierarchical model follows next to it. The degenerate model is found to be most unfavourable. We use the hypothesis that those neutrino mass models in which Type I seesaw term dominates over the Type II left-handed Higgs triplet term are favoured to survive in nature.Comment: No change in the results, a few references added, some changes in Type[IIB] calculation

A PWM Controlled IGBT based VSCS with a Battery Energy Storage System for an Isolated Wind-Hydro Hybrid System Using Cage Generators

This paper presents a Pulse WidthModulation (PWM) controlled Insulated Gate Bipolar Transistor (IGBT) based Voltage SourceConverters (VSCs) with a battery energy storagesystem (BESS) for an isolated wind-hydro hybridsystem using two squirrel cage induction generators(SCIG) or simply two cage generators, one driven bya variable speed wind turbine and another driven bya constant power hydro turbine. The proposed systemhas a battery energy storage system (BESS) at themiddle of two back –to-back connected pulse widthmodulation (PWM) controlled insulated-gate-bipolar–transistor (IGBT) based voltage source converters(VSCs).The main objectives of the control algorithmfor the VSCs are to achieve the maximum powerpoint tracking (MPPT) through rotor speed control ofa wind turbine driven SCIG at machine side (orgeneration side) and to control the magnitude andfrequency of the load voltage at load side( or hydropower generation side). The proposed system has afacility to bidirectional real and reactive power flow,by which it controls the magnitude and frequency ofthe load voltage. The control techniques with windhydrohybrid power is modeled and simulated inMATLAB 2009a environment using Simulink andSim Power System set tool boxes. The proposedsystem studied under various load conditions withdifferent input wind speeds

Rangelands, conflicts, and society in the Upper Mustang Region, Nepal

Rangelands are considered critical ecosystems in the Nepal Himalayas and provide multiple ecosystem services that support local livelihoods. However, these rangelands are under threat from various anthropogenic stresses. This study analyzes an example of conflict over the use of rangeland, involving two villages in the Mustang district of Nepal. This prolonged conflict over the use of rangeland rests on how use rights are defined by the parties, that is, whether they are based on traditional use or property ownership. Traditionally, such conflicts in remote areas were managed under the Mukhiya (village chief) system, but this became dysfunctional after the political change of 1990. The continuing conflict suggests that excessive demand for limited rangelands motivates local villagers to gain absolute control of the resources. In such contexts, external support should focus on enhancing the management and production of forage resources locally, which requires the establishment of local common property institutions to facilitate sustainable rangeland management.<br /

Measurement of the Bottom-Strange Meson Mixing Phase in the Full CDF Data Set

We report a measurement of the bottom-strange meson mixing phase \beta_s using the time evolution of B0_s -> J/\psi (->\mu+\mu-) \phi (-> K+ K-) decays in which the quark-flavor content of the bottom-strange meson is identified at production. This measurement uses the full data set of proton-antiproton collisions at sqrt(s)= 1.96 TeV collected by the Collider Detector experiment at the Fermilab Tevatron, corresponding to 9.6 fb-1 of integrated luminosity. We report confidence regions in the two-dimensional space of \beta_s and the B0_s decay-width difference \Delta\Gamma_s, and measure \beta_s in [-\pi/2, -1.51] U [-0.06, 0.30] U [1.26, \pi/2] at the 68% confidence level, in agreement with the standard model expectation. Assuming the standard model value of \beta_s, we also determine \Delta\Gamma_s = 0.068 +- 0.026 (stat) +- 0.009 (syst) ps-1 and the mean B0_s lifetime, \tau_s = 1.528 +- 0.019 (stat) +- 0.009 (syst) ps, which are consistent and competitive with determinations by other experiments.Comment: 8 pages, 2 figures, Phys. Rev. Lett 109, 171802 (2012

Edge Intelligence with Light Weight CNN Model for Surface Defect Detection in Manufacturing Industry

Surface defect identification is essential for maintaining and improving the quality of industrial products. However, numerous environmental factors, including reflection, radiance, light, and material, affect the defect detection process, considerably increasing the difficulty of detecting surface defects. Deep Learning, a part of Artificial intelligence, can detect surface defects in the industrial sector. However, conventional deep learning techniques are heavy in terms of expensive GPU requirements to support massive computations during the defect detection process.CondenseNetV2, a Lightweight CNN-based model, which performs well on microscopic defect inspection, and can be operated on low-frequency edge devices, was proposed in this research. It provides sufficient feature extractions with little computational overhead by reusing a set of the existing Sparse Feature Reactivation module. The training data are subjected to data augmentation techniques, and the hyper-parameters of the proposed model are fine-tuned with transfer learning. The model was tested extensively with two real datasets while running on an edge device (NVIDIA Jetson Xavier Nx SOM). The experiment results confirm that the projected model can efficiently detect the faults in the real-world environment while reliably and robustly diagnosing them

Quadruple malignancy in a single patient: A case report and comprehensive review of literature

The occurrence of multiple primary malignant neoplasias (MPMN) is a rare but increasingly frequently reported event. Many theories have been proposed to explain MPMNs, but none have been proven. The key risk factors appear to be smoking and family history. While numerous studies have been published on the development of second malignancies following a first primary, the literature contains only few case reports and reviews of patients with three or more malignancies. We report a case of a young female who, over a period of 30 years, developed four different malignancies and was treated radically on each occasion