Papers by Prof Anil Ahlawat
Generative Adversarial Networks, Their Various Types, A Comparative Analysis, and Applications in Different Areas
2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)
To Detect Normal and Abnormal Neurological Disorder of MRI Image in Human using Convolutional Neural Netwok
2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)
In todays world many numbers of people are affected with neurological disorder. Neurological dise... more In todays world many numbers of people are affected with neurological disorder. Neurological disease is a brain abnormalities or brain dysfunction. It affects all age group of people. In past years, the detection of neurological disorder is a very difficult task but now, we are blessed with many medical technologies which are available such as MRI, CT scan and PET. Convolutional neural network is best classifier for image feature extraction without any image segment. In this paper, we detect neurological disorder for normal as well as abnormal brain using brain MRI dataset. To trace the MRI dataset, we select a convolutional neural network algorithm to classify the MRI data for normal and abnormal brain.
Intelligent Decision Technologies
Finding good relevant documents for query optimization is a well-known difficulty in the field of... more Finding good relevant documents for query optimization is a well-known difficulty in the field of document retrieval. This paper develops a novel approach, named Exponential Aquila Optimizer (EAO)-based Deep Fuzzy Clustering for retrieving the documents. The proposed technique effectively finds the relevant documents and tries to understand the relationship among the documents and queries in terms of the significance of documents for query optimization. Here, the Deep Fuzzy Clustering is employed for performing cluster-based inverted indexing where the Training procedure of Deep Fuzzy Clustering is done using the developed optimization algorithm, named EAO. Meanwhile, the developed EAO is newly designed by the incorporation of EWMA and AO. In addition, complex query matching is done using the Tversky index for the user-based queries, such as multigram queries and semantic queries. On the other hand, the RV coefficient is accomplished for performing query optimization for relevant do...
Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018), 2018
Remote sensor systems maintain numerous applications in various fields. Sparing vitality in such ... more Remote sensor systems maintain numerous applications in various fields. Sparing vitality in such systems is continuously a basic issue that should be considered to delay the network lifespan. Bunching in the systems is additionally considered as a vitality sparing directing strategy. This manuscript, propose the two technique by which the vitality problem of a remote sensor can be resolved. In first Strategy, with the help of wireless power transfer recharge all the node of the network and in the second strategy a new information gathering strategy, called firmness technique, keeping in mind the end goal to altogether diminish information transmitting among grouped systems for vitality sparing reason. In the strategy, Wavelet essential is utilized in each group to pack information to be sent to the base-station (BS). At the BS, all the detecting information can be remade in light of the compacted tests gathered from groups. We additionally investigate what's more, plan the aggregate vitality utilization for information transmitting between sensors in the systems and from the systems to the BS. Reproduction comes about are given to illuminate our examination and to propose ideal cases for the system to expend the slightest control. In this manuscript, new proposed technique shows the results with various performance parameters like, power consumption, network lifespan in Inter and Intra transmissions.
An Intelligent Human-Computer Agent
Turkish Online Journal of Qualitative Inquiry, May 31, 2021
Content curation algorithm on blog posts using hybrid computing
Multimedia Tools and Applications, 2022
An Innovative Approach to Establish, Maintain and Review Quality Standards in Higher Education through Quality Assurance Tool
Proceedings of Data Analytics and Management, 2021
An approach for document retrieval using cluster-based inverted indexing
Journal of Information Science, 2021
Document retrieval plays an important role in knowledge management as it facilitates us to discov... more Document retrieval plays an important role in knowledge management as it facilitates us to discover the relevant information from the existing data. This article proposes a cluster-based inverted indexing algorithm for document retrieval. First, the pre-processing is done to remove the unnecessary and redundant words from the documents. Then, the indexing of documents is done by the cluster-based inverted indexing algorithm, which is developed by integrating the piecewise fuzzy C-means (piFCM) clustering algorithm and inverted indexing. After providing the index to the documents, the query matching is performed for the user queries using the Bhattacharyya distance. Finally, the query optimisation is done by the Pearson correlation coefficient, and the relevant documents are retrieved. The performance of the proposed algorithm is analysed by the WebKB data set and Twenty Newsgroups data set. The analysis exposes that the proposed algorithm offers high performance with a precision of ...
DEStech Transactions on Computer Science and Engineering, 2018
A versatile Ad-hoc Network for which every hub is free to all hub of the system. In MANETs hub ar... more A versatile Ad-hoc Network for which every hub is free to all hub of the system. In MANETs hub are not having legitimate framework. The power wellspring of the Mobile Ad hoc arrange is battery control. As we as a whole know battery control have a specific point of confinement and reasons. This paper executes the idea of remote power exchange between the hubs of Ad hoc system to exchange the ability to these hubs remotely and utilize the most extreme lifetime control proficient steering Algorithm (ELPSA) to diminish the utilization of energy utilized by the hubs. The remote power exchange can be accomplished with the assistance of one kind of near field methods called magnetic resonance. This system is non radiative in nature. This paper decreases the issue of energy of the specially appointed system hubs about 70 to 80 % from the customary idea utilized for lifetime improvement of these hubs. Execution streamlining can be investigations with the assistance of some vitality productive conventions.
DEStech Transactions on Computer Science and Engineering, 2018
Manuscript presents the idea of the vitality effective data gathering calculations to enhance the... more Manuscript presents the idea of the vitality effective data gathering calculations to enhance the lifespan of WSNs and remotely revives sensor hubs. Here we make an assumption that the sensor hubs and main-station are not versatile. To make the system heterogeneity three sorts of hubs: Traditional, advance, super hub as far as their underlying vitality has been considered. The manuscript proposed new circulated vitality effective calculations PPDPSH and DLAPSH, in light of the separation from the base station and sensor lingering vitality and also booking of sensor hubs to substitute amongst rest and dynamic mode. This manuscript also introduces another concept for resolving the power problem of WSN is Wireless Power Transfer with Magnetic Resonance concept. The recreation comes about demonstrates that the proposed calculations PPDPSH and DLAPSH adjust the vitality scattering over the entire system and enhance the system lifespan.
Wireless Engineering and Technology, 2018
In today's time each individual needs remote framework, yet at the same time control transmission... more In today's time each individual needs remote framework, yet at the same time control transmission for low power gadgets are wired in nature. Consistent power supply is one of the real issues in the motivation behind the utilization of remote sensor network. Yet, in the power arrangement of remote Sensor Network, the battery has an extremely constrained lifetime and is not supplanted yet by some other persistent power framework. There are separate techniques proposed for shorter and more separate power transmission: Inductive coupling, resonant inductive coupling and air ionization for short separations; microwave and Laser transmission for longer separations. The pioneer of the field, Tesla endeavoured to make a capable, remote electric transmitter more than a century back that has now observed an exponential development. This paper overall lights up all the effective strategies proposed for transmitting power without wires. This study is important for find out the future ways of power transmission. These methods are so important in today's world because of drastic wastage of power. Common wireless power transmission is a point-to-point control transmission. It was demonstrated that the power transmission effectiveness could approach near 100%.
Evaluation of Maximum Lifetime Power Efficient Routing in Ad hoc Network Using Magnetic Resonance Concept
Recent Patents on Engineering, 2019
Background: A mobile Ad-hoc Network is a network in which each node is independent of all other n... more Background: A mobile Ad-hoc Network is a network in which each node is independent of all other nodes of the network. In MANETs, nodes do not have proper infrastructure. The power source of the Mobile Ad-hoc network is battery power. As we all know, battery power has a certain limit and problems. Objective: The main objective of this manuscript is to resolve the power problem of nodes of mobile ad hoc networks and increase the lifetime of the network. Methods: This paper implements the concept of wireless power transfer between the nodes of Adhoc network and transfers the power to these nodes wirelessly and uses the maximum lifetime power efficient routing algorithm (MLPER) to reduce the consumption of power used by the nodes. The wireless power transfer can be achieved with the help of one type of near-field techniques called magnetic resonance which works at the same resonance frequency. This technique is nonradiative in nature. Results: This paper reduces the problem of power of ...
International Journal of Engineering & Technology, 2018
A vitality effective protocol configuration is a key testing issue in a network of Wireless Senso... more A vitality effective protocol configuration is a key testing issue in a network of Wireless Sensor. A portion of the few existing vitality effective protocols plots dependably forward the bundles through the base vitality based ideal course to the sink to limit vitality utilization. It causes a disturbed dispersion of remaining vitality between sensor nodes, which prompts partitioning of the network. The prime objective of this method is to pass the data packets to destination node through the vitality denser range within Sensor Networks Lifetime. The current procedure Energy Balanced Routing Protocol (EBRP) neglects to accomplish Throughput, Delay part, keeping in mind the end goal to enhance the Network Lifetime and Performance so the proficient steering convention is required with the abilities of both the Power Efficient and Power Balancing. To resolve this problem, this manuscript proposed Impediment Sensitive Power Unbiased Dynamic Routing Protocol (ISPUDRP). The proposed stee...
International Journal of Mobile Computing and Multimedia Communications, 2016
Wireless data broadcasting seems to be an efficient way for dissemination of data to a large numb... more Wireless data broadcasting seems to be an efficient way for dissemination of data to a large number of mobile users. Because of its scalability and flexibility, the service providers use this technology to resolve request of thousands of users in one single response. Full text search is the latest area of research in wireless data broadcasting. Access time and tuning time are the two metrics for evaluation of an indexing technique. In this paper, we propose an air indexing technique based on the dictionary data structure namely Dict-Based Air Indexing Technique for full text search over wireless broadcast stream that utilizes hash-tables. We also propose algorithms for the implementation of the technique. We analyze, evaluate and compare its performance with existing schemes. The results from simulation experiments demonstrate that the proposed technique is the most latency and energy efficient air indexing technique for full text searches.
JSTS:Journal of Semiconductor Technology and Science, 2009
An analytical 2-dimensional model to explain the small signal and noise properties of an AlGaN/Ga... more An analytical 2-dimensional model to explain the small signal and noise properties of an AlGaN/GaN modulation doped field effect transistor has been developed. The model is based on the solution of twodimensional Poisson's equation. The developed model explains the influence of Noise in ohmic region (Johnson noise or Thermal noise) as well as in saturated region (spontaneous generation of dipole layers in the saturated region). Small signal parameters are obtained and are used to calculate the different noise parameters. All the results have been compared with the experimental data and show an excellent agreement and the validity of our model.
A weight initialization approach for training Self Organizing Maps for clustering applications
2013 3rd IEEE International Advance Computing Conference (IACC), 2013
The strength of Self Organizing Map (SOM) learning algorithm completely depends on the weights ad... more The strength of Self Organizing Map (SOM) learning algorithm completely depends on the weights adjustments done in its network. Prior to the weight adjustments done, important step is to initialize the values to the weight. The choice of these initial values for weight vectors affects the performance of SOM training when applied to clustering. This paper proposes a different approach for initializing SOM. This approach depends on Frequency Sensitive Competitive Learning (FSCL) algorithm to pre-process the weights in order to improve the results obtained from trained input patterns in terms of better neuron utilization and less quantization and topographic error. Two datasets are used to analyze the performance of SOM algorithm. First dataset is evenly distributed 2D Gaussian data and second dataset is taken from the well reputed Engineering Educational Organization. Applying existing approaches of weight initializations, results obtained with first dataset showed that decreasing learning rate to a specific value gives better performance further but with second dataset results did not improve on decreasing learning rate. But with this new approach, results showed significant improvement as compared to the existing approaches of weight initialization.
Analysis of Small-Signal Parameters of 2-D Modfet with Polarization Effects for Microwave Applications
International Journal of VLSI Design & Communication Systems, 2013
International Journal of Advanced Science and Technology, 2014
In this paper, a simple non-linear analytical charge control model for the DC and microwave chara... more In this paper, a simple non-linear analytical charge control model for the DC and microwave characteristics of AlGaN/GaN MODFET is presented. The effect of parasitic resistances s R and d R is also incorporated. The model has also been extended to obtain the expressions for transconductance, drain conductance and cutoff frequency of the device. The model predicts a high transconductance of 502.6mA/mm at 1Vof gate bias and a maximum cutoff frequency of 22.5GHz for a 50nm device gate length, which is important in realizing the device for microwave applications. The extrinsic and intrinsic characteristics show close agreement with the published results proving the validity of the model.
An efficient self-organizing map learning algorithm using the set of nearest neurons
2013 Sixth International Conference on Contemporary Computing (IC3), 2013
ABSTRACT The Self-organizing map (SOM) has been extensively applied to image analysis, data clust... more ABSTRACT The Self-organizing map (SOM) has been extensively applied to image analysis, data clustering, dimension reduction, and so forth. The conventional SOM find the winner neuron and update the weights of winner and its neighborhood regardless of distance from input. In this study, we propose a modified SOM which calculate the distance from input data and find the nearest neuron among neighborhood of winner neuron (BMU). It also calculates the winning frequency of each neuron. We apply modified SOM to various input data set and investigate the performance of both SOM using three standard measurements. We conclude that modified SOM reaches to all input data in better way compare to conventional SOM. The modified SOM preserves the input topology in much better way compare to conventional SOM. The modified SOM self organize in better way than the conventional SOM in every corner of the input data.
The self-organising map learning algorithm with inactive and relative winning frequency of active neurons
HKIE Transactions, 2014
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Papers by Prof Anil Ahlawat