Convolutions or Hadamard products of analytic functions is a well explored area of research and m... more Convolutions or Hadamard products of analytic functions is a well explored area of research and many nice results are available in literature. On the other hand, very little is known in general about the convolutions of univalent harmonic mappings. So, researchers started exploring properties of convolutions of some specific univalent harmonic mappings and while doing so, they have mostly used well known 'Cohn's rule' or/and 'Schur-Cohn's algorithm', which involves computations that are very cumbersome. The main objective of this article is to present an alternative approach, which requires very less computational efforts and allows us to prove more general results. Most of the earlier known results follow as particular cases of the results proved herein.
In 1914 Bohr proved that there is an r 0 ∈ (0, 1) such that if a power series ∞ m=0 cmz m is conv... more In 1914 Bohr proved that there is an r 0 ∈ (0, 1) such that if a power series ∞ m=0 cmz m is convergent in the open unit disc and | ∞ m=0 cmz m | < 1 then, ∞ m=0 |cmz m | < 1 for |z| < r 0. The largest value of such r 0 is called the Bohr radius. In this article, we find Bohr radius for some univalent harmonic mappings having different dilatations and in addition, also compute Bohr radius for the functions convex in one direction.
Springer Proceedings in Mathematics & Statistics, 2021
Convolutions or Hadamard products of analytic functions is a well explored area of research and m... more Convolutions or Hadamard products of analytic functions is a well explored area of research and many nice results are available in literature. On the other hand, very little is known in general about the convolutions of univalent harmonic mappings. So, researchers started exploring properties of convolutions of some specific univalent harmonic mappings and while doing so, they have mostly used well known 'Cohn's rule' or/and 'Schur-Cohn's algorithm', which involves computations that are very cumbersome. The main objective of this article is to present an alternative approach, which requires very less computational efforts and allows us to prove more general results. Most of the earlier known results follow as particular cases of the results proved herein.
In the present article, we construct a new family of locally univalent and sense preserving harmo... more In the present article, we construct a new family of locally univalent and sense preserving harmonic mappings by considering a suitable transformation of normalized univalent analytic functions defined in the open unit disc D. We present necessary and sufficient conditions for the functions of this new family to be univalent. Apart from studying properties of this new family, results about the convolutions or Hadamard products of functions from this family with some suitable analytic or harmonic mappings are proved by introducing a new technique which can also be used to simplify the proofs of earlier known results on convolutions of harmonic mappings. The technique presented also enables us to generalize existing such results.
Age, gender and handedness prediction using handwritten text: A comprehensive survey
Engineering Applications of Artificial Intelligence
Handwriting recognition is widely acknowledged as one of the most challenging tasks in pattern re... more Handwriting recognition is widely acknowledged as one of the most challenging tasks in pattern recognition and machine learning. This study explores the intriguing field of age, gender and handedness prediction through handwriting analysis by offering valuable insights into its potential applications in forensics, psychology and education. A comprehensive survey has been conducted encompassing an introduction, motivational aspects, background information, sources of data, analysis schemes, survey protocols, reported findings and methodologies used for predicting age, gender and handedness in both Indic and non-Indic scripts. The investigation highlights research gaps and concludes with an in-depth analysis of unresolved issues accompanied by a roadmap for future advancements in this domain. The survey focuses on a systematic examination of eight Indic scripts (Assamese, Bangla, Devanagari, Gurumukhi, Kannada, Malayalam, Tamil and Telugu) and six non-Indic scripts (Arabic, Chinese, Japanese, Persian, Roman and Thai) and it can be concluded that non-Indic scripts attain more accuracy in comparison with Indic scripts. Furthermore, the study mostly focuses on providing a catalog of publicly accessible online datasets featuring diverse handwriting samples from various scripting languages by giving a roadmap for further research in this area.
Hybrid Features for Gender Classification System based on Pre-segmented Handwritten Gurumukhi Characters Using Machine Learning Algorithms
Identification of handwriting has been an evolving task for mitigating specific issues in the fie... more Identification of handwriting has been an evolving task for mitigating specific issues in the fields of machine learning and pattern recognition. In the fields of artificial intelligence and machine learning, a gender classification method based on one or more features has emerged as a promising idea for addressing issues such as criminal, forensic, and suspected examinations. Predicting an individual's age, gender, and handedness based on their handwriting is one of the more challenging offline handwriting applications. The authors have presented a novel approach to classifying gender as male or female based on pre-segmented Gurumukhi (Punjabi) characters using feature extraction methods and classification algorithms such as K-NN, random forest, SVM, and MLPs in this proposed work. On a dataset of about 72,000 Gurumukhi characters, we extracted diagonal, transition, zoning, and peak extent based features (which consists of 280 writers with 150 males and 130 females). Our result...
INNOVATIONS IN COMPUTATIONAL AND COMPUTER TECHNIQUES: ICACCT-2021
Human beings have been using physical features such as voice, face, etc. to identify each other f... more Human beings have been using physical features such as voice, face, etc. to identify each other from centuries. With the latest advancement in technology, biometrics has become arising innovations for identifying humansby using biological traits. The purpose of the system is to make process of attendance very faster and accurate using Face Recognition. The traditional method for marking attendance is by roll number or calling the name of the student to record attendance was time consuming and less accurate process of marking attendance as we know the data written on a paper can be lost or can be less accurate.Students oftenmark each other attendance proxy so as to avoid such issues; we tried to develop an opensource Face Recognition system using Python. This system can be used for various groups of people such as students, employees etc. The software updates and stores the data in actual time.
Modelling and Analysis of Multi-objective Service Selection Scheme in IoT-Cloud Environment
Cognitive Computing for Big Data Systems Over IoT
Internet of Things (IoT) is a heterogeneous ubiquitous network based upon modern computational in... more Internet of Things (IoT) is a heterogeneous ubiquitous network based upon modern computational intelligent techniques. A large scale IoT environment composed of thousands distributed entities and a number of multimedia smart devices. In recent years, due to the improvement of popularity and capability of smart mobile devices, Mobile Cloud Computing (MCC) gains a considerable attention in Internet of Things (IoT) environment. As there are variety of clouds that provides same services, it becomes quite difficult for users to choose an ideal cloud from a variety of clouds for migrating computationally intensive applications. So, selecting the optimal cloud among multiple alternatives which saves resource availability and execution time is a Multi-Criteria Decision Making (MCDM) issue. This chapter introduces an assessment model based on Fuzzy Analytic Hierarchy Process (FAHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) which helps the users to select an optimal cloud where uncertainty and subjectivity are parameterized using triangular fuzzy members and is handled by using linguistic values. The proposed computational intelligence decision making model enables decision makers to better understand the whole evaluation process and thus provides more accuracy, systematic and efficient decision support tool.
Proceedings of the International Congress on Information and Communication Technology, 2016
Mobile applications are increasingly becoming ubiquitous which provides rich functionalities and ... more Mobile applications are increasingly becoming ubiquitous which provides rich functionalities and services to mobile users. But despite having some technological advancements, smart mobile devices (SMDs) are still minimum potential computing devices enforced by battery life, storage capacity, and network bandwidth which obstructs the possible execution of computational intensive applications. Thus, mobile cloud computing is employed to optimize the computationally intensive applications which use computation offloading techniques for increasing SMD's capabilities. The aim of this paper is to emphasize the specific issues related to mobile cloud computing, offloading, and thus concluding the paper by analyzing the challenges that have not been met perfectly and charts a roadmap towards this direction.
Silica has three major varieties of crystalline. Quartz is the main and abundant ingredient in th... more Silica has three major varieties of crystalline. Quartz is the main and abundant ingredient in the crust of our earth. While other varieties are formed by the heating of quartz. Silica quartz is a rich chemical structure containing enormous properties. Any chemical network or structure can be transformed into a graph, where atoms become vertices and the bonds are converted to edges, between vertices. This makes a complex network easy to visualize to work on it. There are many concepts to work on chemical structures in terms of graph theory but the resolvability parameters of a graph are quite advance and applicable topic. Resolvability parameters of a graph is a way to getting a graph into unique form, like each vertex or edge has a unique identification by means of some selected vertices, which depends on the distance of vertices and its pattern in a particular graph. We have dealt some resolvability parameters of SiO 2 quartz. We computed the resolving set for quartz structure and its variants, wherein we proved that all the variants of resolvability parameters of quartz structures are constant and do not depend on the order of the graph.
Cloud path selection using Fuzzy Analytic Hierarchy Process for offloading in Mobile Cloud Computing
2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS), 2015
Mobile Cloud Computing (MCC) gains a significant attention in research domain due to the enhancem... more Mobile Cloud Computing (MCC) gains a significant attention in research domain due to the enhancement of capability and popularity of mobile devices in recent years. Due to the development of a variety of clouds which provides similar services to mobile devices, it becomes quite difficult to choose an optimum cloud for offloading the computationally intensive applications. The aim of selecting the cloud path is to select an optimum cloud from a set of clouds which provides the same cloud services. The selection of optimum cloud saves the execution time and availability of resources during the migration of computational tasks. For making final decision about selection of cloud path, many criteria need to be considered such as cost, speed, capacity, privacy, availability. In this paper, Fuzzy Analytic Hierarchy Process (FAHP) based multiple criteria decision making approach is proposed which allows the user to select an optimal choice from a set of available choices. This paper uses FAHP technique, a fuzzy extension of Analytic hierarchy Process (AHP) to compare a set of clouds.
The task of automatically analyzing sentiments from a tweet has more use now than ever due to the... more The task of automatically analyzing sentiments from a tweet has more use now than ever due to the spectrum of emotions expressed from national leaders to the average man. Analyzing this data can be critical for any organization. Sentiments are often expressed with different intensity and topics which can provide great insight into how something affects society. Sentiment analysis in Twitter mitigates the various issues of analyzing the tweets in terms of views expressed and several approaches have already been proposed for sentiment analysis in twitter. Resources used for analyzing tweet emotions are also briefly presented in literature survey section. In this paper, hybrid combination of different model's LSTM-CNN have been proposed where LSTM is Long Short Term Memory and CNN represents Convolutional Neural Network. Furthermore, the main contribution of our work is to compare various deep learning and machine learning models and categorization based on the techniques used. The main drawback of LSTM is that it's a timeconsuming process whereas CNN do not express content information in an accurate way, thus our proposed hybrid technique improves the precision rate and helps in achieving better results. Initial step of our mentioned technique is to preprocess the data in order to remove stop words and unnecessary data to improve the efficiency in terms of time and accuracy also it shows optimal results when it is compared with predefined approaches.
Voice over Internet Protocol (VoIP) uses packet switching to transmit voice, video, data and chat... more Voice over Internet Protocol (VoIP) uses packet switching to transmit voice, video, data and chat services. VoIP applications depend upon various speech codecs which vary in speech quality, bandwidth and computational requirements. The key challenges for improving the VoIP Quality of Service (QoS) and Quality of Experience (QoE) is to use best codec by considering network traffic and selecting the optimal hardware. Hardware Calibration is a mechanism to aid service providers by selecting a suitable hardware for Call Manager to transmit different real-time based applications. The paper focuses on proposing a computational model which suggests the most suitable hardware for a specific load handling requirement. The selection of processor is done by taking into consideration the effect of different codecs when it takes calls per second as input and gives output as whichever hardware is recommended for Call Manager to handle different types of applications like Peer-To-Peer (P2P) application, Back-To-Back (BTB) application, enabling voice logging, etc. The emulations demonstrate that the proposed model is suitable for selection of hardware which provides better QoS and QoE for the transmission VoIP based real-time applications. Further, a multi-criteria decision-making method based on Analytic Hierarchy Process (AHP) is also proposed to decide which hardware can be chosen as Call Manager. The results obtained from AHP are used to validate the outcome of the proposed computational model. The computational model is applicable only when the tests are run on particular systems and it suggests the best hardware among them for the particular offered load. However, to suggest the best configuration corresponding to the input load from the possible configurations available in the market, benchmarking is performed. A common scale model for hardware benchmark estimation particularly has been proposed for different scenarios.
International Journal of Advanced Intelligence Paradigms, 2017
Mobile cloud computing (MCC) is visualised as an encouraging approach to increase the computation... more Mobile cloud computing (MCC) is visualised as an encouraging approach to increase the computational capabilities of mobile devices. With the advancement of internet of things (IoT) technologies and mobile cloud, a new concept is developed called as mobile cloud IoT (MCIoT) which is the convergence of IoT and mobile cloud. In this paper, we propose a nested game theoretic technique for computation offloading algorithms. Firstly we introduce a game theoretic approach for network selection based on strategic and repeated game theory. Then, for determining the portion of application to be offloaded we use bargaining game theory based on Rubinstein-Stahl's model. Then the selection of the best cloud is analysed using auction game theory and trading market theory. Numerical results show that the proposed scheme can achieve effective computation offloading mechanism under MCIoT systems.
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Papers by chinu singla