Anju Sharma

Sidra Medical and Research Center

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Rajesh Kumar

J.C. Bose University of Science & Technology, YMCA

Simar Preet Singh

Clemson University

Komal Singh Gill

Lovely Professional University

Priyanka Vashisht

Amity University

Sharad Saxena

PDF Solutions (United States)

Ashok Kumar

Chitkara University

Kuldip Singh Dhindsa

Chaudhary Charan Singh Haryana Agricultural University

Shobha Sharma

Central Soil Salinity Research Institute

Veena Baunthiyal

Institute of Engineering Science

Seema Bawa

Thapar Institute of Engineering & Technology

Cooperative Institutions

Thapar Institute of Engineering & Technology

Hamilton Regional Laboratory Medicine Program

McMaster University

Chitkara University

Punjabi University

Sidra Medical and Research Center

Weill Cornell Medical College in Qatar

Hamilton Health Sciences

St. Joseph’s Healthcare Hamilton

Panjab University

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Dynamics of cropping pattern: A regional study of Punjab

Anju Sharma

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Simulation and Emulation Tools for Fog Computing

Recent Advances in Computer Science and Communications (2020)

Simar Preet Singh Rajesh Kumar Anju Sharma Swarna Reddy Priyanka Vashisht

Background: Fog computing paradigm has recently emerged and gained higher attention in present era of Internet of Things. The growth of large number of devices all around, leads to the situation of flow of packets everywhere on the Internet. To overcome this situation and to provide computations at network edge, fog computing is the need of present time that enhances traffic management and avoids critical situations of jam, congestion etc. Methods: For research purposes, there are many methods to implement the scenarios of fog computing i.e. real-time implementation, implementation using emulators, implementation using simulators etc. The present study aims to describe the various simulation and emulation tools for implementing fog computing scenarios. Results: Review shows that iFogSim is the simulator that most of the researchers use in their research work. Among emulators, EmuFog is being used at higher pace than other available emulators. This might be due to ease of implementation and user-friendly nature of these tools and language these tools are based upon. The use of such tools enhance better research experience and leads to improved quality of service parameters (like bandwidth, network, security etc.). Conclusion: There are many fog computing simulators/emulators based on many different platforms that uses different programming languages. The paper concludes that the two main simulation and emulation tools in the area of fog computing are iFogSim and EmuFog. Accessibility of these simulation/emulation tools enhance better research experience and leads to improved quality of service parameters along with the ease of their usage.

Pace

10.2174/2666255813999201002152003

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Strain History of Aravalli Rocks Exposed Around Village Maruwas, Udaipur District, Rajasthan

SSRN Electronic Journal (2019)

Veena Baunthiyal Swati Shrivastava Anju Sharma

Detailed structural analysis of the area suggests that the Precambrian rocks under investigation revealed a complex deformational history. The area has suffered one major and two minor phases of deformations. Out of which the second deformation (AF2) is most dominant structural event, which has controlled the topography. Fold produced during first deformation (AF1) are tight to isoclinals in nature and suggesting a reclined geometry. While folds of second generation (AF2) exhibit open, upright fold geometry, the third deformation is less penetrative. Analysis of shape and orientation of the AF1 and AF2 folds is suggestive of their initiation by buckling and subsequent modification by flattening resulting in to flattened parallel folds (Class 1C) geometry. Geometrically, some of the folds do not fall distinctly into one class but show a combination of two to three classes. This may be due to original layer irregularities or may be due to differential flattening. The strain ratio varies from 0.1 to 1, which indicates that different folds underwent varying amount of flattening. Stratigraphically, the area under investigation comprises rocks of Middle and Upper Aravalli Group of shelf as well as deep-sea faces.

Strain (injury)

10.2139/ssrn.3353139

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A Survey of Load Balancing and Implementation of Clustering-Based Approach for Clouds

Recent Advances in Computer Science and Communications (2019)

Anju Sharma Rohit Pandey Simar Preet Singh Rajesh Kumar

Background: Generally, it is observed that there is not a single algorithm that classifies the task using Quality of Service (QoS) parameters requested by the task but instead focuses on classifying resources and balancing the task's using the availability of resources. In past literature, authors divided the load balancing solutions in three main parts workload estimation, decision making, task transferring. Workload estimation deals with identifying requirements for the incoming tasks on the system. Decision making is done to analyze that whether or not load balancing should be performed for the given node. If the decision for load balancing has been made then third step deals with transferring task to appropriate node to reach a saturation point where the system will be in the stable state. Objective: To address this issue, our approach is more focused upon on workload estimation and its main objective is to cluster the incoming heterogeneous task into generic groups. Another issue for this approach is that the client demand varies for the number of tasks. Thus, some attributes may be much more critical to a user then the others and this demand changes from user to user. Methods: This paper classify the tasks using QoS parameters and focused on work-load estimation. The main objective is to cluster the incoming heterogeneous task into generic groups. For this, KMedoid based clustering approach for cloud computing is devised and implemented. This approach is then compared with its different iterations to analyses the workload execution more deeply. Results: The analysis of our approach is computed using cloudsim simulator. Results and computations shows that the data is very uneven in initial times, as some clusters have only four elements and others are having much more elements. Whereas after the 20th iteration data observed is more normally balanced, so the clusters formed after 20th iteration were more stable than clusters formed initially i.e. 1st iteration. The number of iterations is also minimized to do unnecessary clustering as after a few steps the changes in medoids are very less. Conclusion: A brief survey of various load balancing techniques in cloud computing is discussed. These approaches are meta-heuristic in nature and have complex behavior and can be implemented in cloud computing. In our paper, K-Medoid based clustering approach for identifying the task into similar groups has also been implemented. Implementation is done on cloudsim simulation package provided by Cloud Labs, which is a java based open source package. The results obtained in our approach are limited to classification of tasks into various clusters. It would also useful where new task arrives and simply assign it to a VM that was created for some other element of that class. In future, this work can be expanded to create an effective clustering based model for load balancing.

10.2174/2666255813666191218150434

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A systematic review on resource provisioning in fog computing

Transactions on Emerging Telecommunications Technologies (2023)

Kirandeep Κaur Arjan Singh Anju Sharma

Abstract Resource provisioning is allocating resources to clients over the Internet and plays a prominent role in cloud computing infrastructure‐as‐a‐service (IaaS). The main issues of resource provisioning are meeting user demands like bandwidth, response time, throughput, availability, and so on. The cloud computing framework uses virtualization technology to provide on‐demand access to computer system resources, specifically computation and storage. In cloud computing, computing resources are shared across another communication network using virtualization. However, the cloud computing mechanism cannot meet the needs of a large number of Internet of Things (IoT) services. To consider this, fog computing was introduced as a modified mechanism of the cloud paradigm by providing cloud services for the end devices. Fog computing is a decentralized computing model placed between devices, edges, data centers or the cloud. In this way, it helps to meet the demands initiated by IoT services, such as reduced latency, wide mobility coverage, and so on. Several solutions regarding resource allocation in fog computing are available in the research field, but such solutions have not achieved satisfactory results. Therefore, finding a solution by analyzing recent problems is open research. Therefore, this paper reviews different methods established for resource provisioning in fog computing using different parameters from 2015 to 2021 and introduces the limitations, advantages and future directions related to different resource provisioning techniques.

Provisioning

Fog Computing

10.1002/ett.4731

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Energy-Efficient Load Balancing Algorithms in Fog Computing

Simar Preet Singh Rajesh Kumar Anju Sharma

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STUDY OF CHANGES IN THE CULTIVATION AREA, IRRIGATED AREA, PRODUCTION & PRODUCTIVITY OF DIFFERENT CROPS IN THE STATE OF UTTAR PRADESH

International Journal of Advanced Research (2021)

Anju Sharma

India is one of the largest producers of food grains in the world. One of the major contributors to this achievement is the state of Uttar Pradesh. The state has seen significant contributions coming in due to focus of governments and farmers on it.Other factor is the huge demand for cereals in the global market that is creating an excellent environment for the export of Indian cereal & food grains. All food grain types have seen significant changes in their area of cultivation to coverage under irrigated area. Increase in sown area also has led to increase in production. Additionally, good farming practices, availability of irrigation water have contributed largely to increase in average yield of most of the food grains in the state for the period under study. Increase in sown area, it seems has also been driven by opportunity to increase earnings of farmers. This study has covered primarily, area of production, irrigated area, absolute production, and average yield of various crops which are cultivated in the state of Uttar Pradesh for the period from 2006-07 to 2012-13.

Uttar pradesh

Irrigated agriculture

10.21474/ijar01/13407

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A REGION-WISE ANALYSIS OF SUPPLY RESPONSE OF COTTON CROPS IN PUNJAB

Bangladesh journal of agricultural economics (1996)

Anju Sharma Kuldip Singh Dhindsa

The study estimates the supply response of cotton crops at regional level in Punjab. To analyse the supply response, three acreage response models were developed separately on the basis of Nerlovian lagged adjustment model. A fast increase in area under cotton American in South- western region took place mainly due to the forces of substantial increase in the price, yield and in turn value productivity per hectare of this crop as compared to its competing crops. Cotton American occupied very small percentage of gross cropped area of the central region and therefore does not occupy an important place in the cropping pattern of the region. Due to this fact the farmers in central region have not responded significantly to various price and yield factors.

Hectare

10.22004/ag.econ.202548

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Advent of artificial intelligence in orthognathic surgery: Advancements and challenges

SCRIPTA MEDICA (2024)

Anju Sharma Ginpreet Kaur Hardeep Singh Tuli R. Chhabra Rashmi Rana

Orthognathic surgery is a procedure used to correct facial deformities and jaw bone misalignment. The use of technology, specifically virtual surgical planning (VSP), has become increasingly prevalent in preoperative planning for orthognathic surgery. High-resolution computed tomography (CT) imaging has enabled computer-aided modelling. Artificial intelligence (AI) implementation has transformed orthognathic surgery methodology. This article highlights the latest market trends and modern-day advancements in the field, including the conventional and surgery first approach for orthognathic surgery. The use of computer-aided surgical simulation (CASS) in VSP for orthognathic surgery was studied. The different software used for orthognathic surgical planning and the detailed protocol followed during the surgery, including the preoperative procedure were discussed along with utilisation of 3-dimension cone-beam computed tomography (3D CBCT) images for surgical planning. The implementation of VSP with CASS had significantly enhanced the accuracy and efficiency of orthognathic surgery for dentofacial deformity correction. The use of technology allowed improved preoperative planning, resulting in better outcomes for patients. The study of different software for orthognathic surgical planning and the protocol followed during surgery has provided valuable insight into the surgery. The continued advancement of technology in orthognathic surgery is promising for the field and for the patients.

10.5937/scriptamed55-46960

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A Systematic Review on Game-Theoretic Models and Different Types of Security Requirements in Cloud Environment: Challenges and Opportunities

Archives of Computational Methods in Engineering (2024)

Komal Singh Gill Anju Sharma Sharad Saxena

10.1007/s11831-024-10095-6

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