ESYSTEMS 5874a77119091f09e47479ec False 103 1
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we are providing Real time projects on NS2/NS3 tool. NS2 is an open-source simulation tool that runs on Linux. It is a discreet event simulator targeted at networking research and provides substantial support for simulation of routing, multicast protocols and IP protocols, such as UDP, TCP, RTP and SRM over wired and wireless (local and satellite) networks.
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Low Cost Advanced GPS Tracking and Student Attendance System this device count no of students in the bus and it will send bus location to server by using server admin, parents will track the status
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Low Cost Smart Energy Meters Self-reading smart meters are a lot like the meter you already have, except they send us your meter readings for you each month, wireless and free of charge. Say goodbye to estimated bills Because your meter readings are automatically sent to us, we'll always send you an accurate bill.
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Low Cost Smart Water meters available Water meter for effective & efficient Water Management: 1) No air measurement, 2) No maintenance, longer life, 3) List count - 2 ltr./ hr. flow. 4) Vertical, Horizontal, fixing possible 5) No reverse flow deduction in reading 6) Digital display. 7) Inbuilt Battery 8) Inbuilt RF – AMR (865.5 MHz) 9) 16 YEAR Battery life, 10) 1 time calibrated product. 11) Accuracy – constant 12) Smart alarms – like Leak, Burst, Dry, Reverse, Temper. 13) Logger for 460 days, -- daily readings. 14) Target date billing possible.
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Fast Image Dehazing Method Based on Linear Transformation Images captured in hazy or foggy weather conditions are seriously degraded by the scattering of atmospheric particles, which directly influences the performance of outdoor computer vision systems. In this paper, a fast algorithm for single image dehazing is proposed based on linear transformation by assuming that a linear relationship exists in the minimum channel between the hazy image and the haze-free image. First, the principle of linear transformation is analyzed. Accordingly, the method of estimating a medium transmission map is detailed and the weakening strategies are introduced to solve the problem of the brightest areas of distortion. To accurately estimate the atmospheric light, an additional channel method is proposed based on quad-tree subdivision. In this method, average grays and gradients in the region are employed as assessment criteria. Finally, the haze-free image is obtained using the atmospheric scattering model. Numerous experimental results show that this algorithm can clearly and naturally recover the image, especially at the edges of sudden changes in the depth of field. It can, thus, achieve a good effect for single image dehazing. Furthermore, the algorithmic time complexity is a linear function of the image size. This has obvious advantages in running time by guaranteeing a balance between the running speed and the processing effect.