Papers by Akanksha Kulshreshtha
IIIR, 2022
The contemporary world is a world of the web, which need more storage and connectivity in order t... more The contemporary world is a world of the web, which need more storage and connectivity in order to modernize the globe. As a result, we are moving toward fiber optics. When it comes to optoelectronics, presence of defects is the most significant stumbling block for excellent optical channels. Either a compensatory approach [1, 2] or electronic distribution compensating can be used to minimize chromatic dispersion. In this study, we compare rz and nrz line encrypting across a 40-gigabit-per-second system. On the basis of bit errors rates and parameter, two alternative modulation styles are tried to compare: non-return-to-zero (nrz) and return-to-zero (rz). The 40 Gbps transmission is sent across a single mode fiber over a distance of 200 kilometers.
International Journal of Information Technology
2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom), 2015
In this paper the structural properties of heterostructure photonic crystals (HPC) are used to ac... more In this paper the structural properties of heterostructure photonic crystals (HPC) are used to achieve the reduced figure of cross talk in a photonic crystal switch. The heterostructure coupled waveguide is considered and its different structural properties are analyzed. The crystal elements of coupling region are modified to achieve the reduced cross talk up to -12.22 dB. The structural modification influences the coupling phenomenon of the switch.In this paper the dependency of structural modifications on the coupling characteristics is demonstrated through simulation. The simulation of waveguides is done on OptiFDTD8 software. Basically three cases are taken to show the dependency of structural modification on the coupling characteristics in HPC.
The Renewable energy development continues to improve due to conditions important to industrial f... more The Renewable energy development continues to improve due to conditions important to industrial fuels such as oil and natural gas. Therefore, the importance of renewable energy has increased in recent years. There are other benefits, such as multiple availability of environmentally friendly recycling. There are several renewable energy sources such as the sun, wind, water, and earthquake. Through these proficient assets, solar and wind energy are the quickest developing energy sources on the planet. In the presence of pollution costs, energy is a change in energy and photovoltaic cells. Electricity demand is increasing every day. However, the available base load devices can not to supply power as needed. Therefore, these energy sources can be used to supply needs to peak loads. Through this paper the investigation find the way that how to integrate the PV cell and wind in one panel.
Advances in Intelligent Systems and Computing, 2016
With the widespread scope of image processing in fields such as ground classification, segmentati... more With the widespread scope of image processing in fields such as ground classification, segmentation of satellite images, biomedical surface inspection and content-based image retrieval (CBIR), texture analysis is an important domain with a wide scope. The process of texture analysis comprises the following important steps: texture classification, segmentation and synthesis. Texture is a significant property of images which is difficult to define even though the human eye may recognize it with ease. Texture classification has remained an intangible pattern recognition task despite numerous studies. The prime issue in any texture classification application is how to select the features and which features to consider for representing texture. Another major issue remains the type of metric to be used for comparing the feature vectors. The traditional way of texture classification is to convert the texture image into a vector representing the features using a set of filters. This is followed by classification with a few smoothening steps involved in between. This paper outlines a picture of the basic features of an image as texture, colour and shape which are to be extracted to form the feature vector. The concept of applying Machine learning for the purpose of classification is explored and implemented. The use of Soft Computing Technique—Artificial Neural Networks is illustrated for the purpose of classification. The texture features are extracted using the GLCM method and used as input and fed to the neural network. The algorithm used in training the neural networks is the traditional backpropagation algorithm. The results show which configuration of the multi-layer feedforward architecture is best suited according to our experimental set-up.
Recent Trends in Communication and Electronics, 2021
The focus of this study was on the automatic reading of energy meter for billing purposes.[1] Thi... more The focus of this study was on the automatic reading of energy meter for billing purposes.[1] This task is accomplished using remote metre readings using GSM technology, which is used for remote readings as and when needed. As a result, there is no need to send somebody to the customer's location to gather manual readings. Smart energy metre (SEM) are these types of metre that can communicate directionally and push data without the utility's intervention. Another advantage of this method is that it can disconnect customer load if it exceeds its predefined load limit by simply sending an SMS to the client once the load is disconnected. Both the utility and the client have access to it.
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Papers by Akanksha Kulshreshtha