Fisherman Navigation and Safety System Krishnan, M.B. Mukesh; Saveetha, D.; Jovith, A.Arokiaraj ...
International journal of innovative technology and exploring engineering,
10/2019, Letnik:
8, Številka:
12
Journal Article
Odprti dostop
The fisherman’s crossing the borders and identification of locations in the sea is becoming a difficult task with existing equipment’s provide to the fisherman’s as a result they cross the borders. ...In our day-to-day life we hear about many Tamil Fishermen being caughtand put under Sri Lankan Naval custody. The sea border between thecountries is not easily identifiable, which is the main reason for this offence. Moreover, in cases of imminent natural disasters, failure or delayin notifying concerned personnel to evacuate results in loss of life on alarge scale. In this paper we have proposed a method which protects thefishermen by logging their entries and exits in the harbour using embeddedsystem, notifying the country’s sea border to them by using Global Positioning System (GPS), GeoFencing and Mobile Systems. We use GPSas a method to track the current location of the fishermen. The GPS’current latitude and longitude coordinates are sent to the database wherethe administrator utilizes it for continuous tracking and monitoring of theuser, if in distress using their credentials and last known location, currentlocation predictions can be made. Another benefit being the logging procedures help official authoritative agencies to identify fishermen and their activities for their own safety and security.
A key component of precision agriculture is crop recommendation, which strives to maximize the harvest by taking into account ecological and soil variables. Utilizing light Gradient Boosting Machine ...(LGBM) algorithm intrinsic simplicity and clarity, we put forward an ensemble-based approach for crop recommendation in this work. The algorithm leverages a record of past crop yield and soil type to account for a number of parameters, including pH, soil nutrient levels, and weather patterns. According to our insights, this LGBM algorithm is a useful tool that generates precise and coherent crop suggestions, which supports productive and organic farming techniques. Using a random forest approach, this study attempts to anticipate fertilizer and assist farmers in making educated decisions on auxiliary fertilizer use. For a given set of input parameters, the model predicts the ideal type and quantity of fertilizer needed by using a random forest method. The random forest approach is precise and helpful in recommending fertilizer with precision, which supports resource-efficient and sustainable farming practices, as evidenced by experiments.
Abstract
The neutron rich carbon isotope
15
C is the only known case of an almost “pure” 2
s1/2
single-neutron halo ground state configuration. At collision energies around the Coulomb barrier the ...reaction dynamics is expected to be dominated by single neutron transfer and breakup. To investigate these effects, we have measured the scattering of
15
C with a
208
Pb target at 65 MeV at the HIE-ISOLDE facility in CERN (Geneva, Switzerland). The preliminary data demonstrates the presence of a strong long-range absorption pattern in the angular distribution of the elastic cross section. The results are discussed in the framework of Optical Model calculations.
The neutron rich carbon isotope 15C is the only known case of an almost "pure" 2s1/2 single-neutron halo ground state configuration. At collision energies around the Coulomb barrier the reaction ...dynamics is expected to be dominated by single neutron transfer and breakup. To investigate these effects, we have measured the scattering of 15C with a 208Pb target at 65 MeV at the HIE-ISOLDE facility in CERN (Geneva, Switzerland). The preliminary data demonstrates the presence of a strong long-range absorption pattern in the angular distribution of the elastic cross section. The results are discussed in the framework of Optical Model calculations.
The neutron-rich carbon isotope 15C was postulated to be a halo nucleus (Sn = 1215 keV, S2n = 9395 keV) according to different high-energy experiments. If so, it would be the only halo nucleus ...exhibiting a "pure" s-wave structure of the ground state. At low collision energies, the effect of this halo structure should manifest as a strong absorption pattern in the angular distribution of the elastic cross section, with a total suppression of the nuclear rainbow due to the large neutron transfer and breakup probabilities, enhanced by the halo configuration. The IS619 experiment, carried out at the HIE-ISOLDE facility at CERN (Switzerland), is the first dynamical study of this nucleus at energies around the Coulomb barrier. It aims to probe the halo structure via the measurement of the elastic cross section on a high-Z 208Pb target. Preliminary results of the elastic cross section are discussed and compared to Optical Model calculations.
The neutron-rich carbon isotope 15C was postulated to be a halo nucleus (Sn = 1215 keV, S2n = 9395 keV) according to different high-energy experiments. If so, it would be the only halo nucleus ...exhibiting a "pure" s-wave structure of the ground state. At low collision energies, the effect of this halo structure should manifest as a strong absorption pattern in the angular distribution of the elastic cross section, with a total suppression of the nuclear rainbow due to the large neutron transfer and breakup probabilities, enhanced by the halo configuration. The IS619 experiment, carried out at the HIE-ISOLDE facility at CERN (Switzerland), is the first dynamical study of this nucleus at energies around the Coulomb barrier. It aims to probe the halo structure via the measurement of the elastic cross section on a high-Z 208Pb target. Preliminary results of the elastic cross section are discussed and compared to Optical Model calculations.
Water is essential for agriculture. Most of the farmers depending upon the ground water for irrigation purpose, but now a days the underground water is going to towards very deep down level. Because ...our environment affected by water drought, pollution and lack of rain falls. It will be creating negative effects to cultivation .In this present study is to assess the underground water quality in Mayiladuthurai Taluk of Nagapattinam District in Tamil Nadu. Totally 30 underground water samples were collected, which covers 10 Revenue villages in Mayiladuthurai Taluk, 3 samples from each Revenue village and analyzed all the physico - chemical parameters such as pH, EC, Ca, Na, K, SO4, Cl, Mg , CO3, and HCO3 and the water quality index SAR, RSC, Geo-chemical types, classification were determined by standard methods, standard calculation and by using standard instruments. Then the irrigation water quality results were compared with standard values Recommended by World Health Organization (WHO), Bureau of Indian Standards (BIS) and Indian Council of Medical Research (ICMR). The proposed work is very essential not only for crop production but also to maintain soil fertility, to maintain hazardous free environment and to enhance the living standard and in turn to uplift our Agriculturist.
Cellular proliferation in the lung tissues is a hallmark of lung cancer. Lung cancer is particularly dangerous since the lungs are responsible for both breathing in oxygen and exhaling carbon ...dioxide-two of the body's most vital functions. The application of deep-learning (DL) for the identification of lymph node involvement on histopathology slides has gained a lot of attention due to the potential impact it could have on patient diagnosis and therapy. Recognition accuracy, precision, sensitivity, F-Score, specificity, etc., are all significantly lower with the current approach. Convolution-Neural-Network (CNN), CNN Gradient-Descent (CNN GD), VGG-16, VGG-19, and Resnet-50 are just few of the deep learning algorithms that exhibit improved performance in the metrics with the proposed methodology. CT scan pictures and histopathology images are used to evaluate the suggested method. When histopathological tissues are analyzed, the results demonstrate that detection accuracy improves.
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