pooja lodhi - Academia.edu (original) (raw)

Papers by pooja lodhi

GSC Biological and Pharmaceutical Sciences

In modern age of revolution and development in drug delivery for better clinical effects conventi... more In modern age of revolution and development in drug delivery for better clinical effects conventional dosages form have still a strong grip and most popular in all kinds of medicinal preparation intended for oral use. To satisfy the need of growing market tablets dosages form have incorporated modernization in producing and some advanced tablet types. Modified release tablet formulations including, layered tablets such as In +--lay tablet, Bi-layered tablet, Medicated chewing gum, Tablet tarts, Pastilles, Lollipop, Tablet inserts, Clinicaps, Caplets, Child ecstasy tablet and Tablet in tablet are new entries in pharmaceutical market. This review highlights the current advancements and patents in tablet technology. Recent advances in novel drug delivery system (NDDS) aims to enhance safety and efficacy of drug molecule by formulating a convenient dosage form for ease of administration and to achieve better patient compliance. In the recent trend one such approach the development of ra...

Brazilian Journal of Chemical Engineering, 2000

The development of a new simplified model predictive control algorithm has been proposed in this ... more The development of a new simplified model predictive control algorithm has been proposed in this work. The algorithm is developed in the framework of internal model control and it is easy to understanding and implement. We demonstrate the application of the proposed control algorithm to a linear and a nonlinear process models. Simulation results show that the control algorithm presents a good performance.

2018 Eleventh International Conference on Contemporary Computing (IC3), 2018

A SQL query may be expressed in different forms with varying execution costs; hence, it is essent... more A SQL query may be expressed in different forms with varying execution costs; hence, it is essential to choose the best when performance is considered. There are many factors that affect the cost and performance of a query. For instance, a query on a relation without proper indexes can cause full relation scans, which in turn causes either performance or locking problems. Query asking for a relation held by another query can cause dead locks and an improperly formed query can also lead to greater complexity. In this context, the paper presents an empirical analysis of the heuristic and cost-based query optimization techniques. The execution cost of a number of queries was calculated and compared with execution plans obtained after optimization. In particular, we have experimentally checked the impact of query rewriting; the ordering of SQL joins and Select statements and replacement of joins with semi-joins. The experiments have yielded a clear insight into the effect of the mentioned optimizations.

Social Science Research Network, 2018

Wireless Sensor Networks are presently entwined into all the main fields of applications. This ra... more Wireless Sensor Networks are presently entwined into all the main fields of applications. This raises the need for a thorough analysis of the networks in order to understand the network architecture and strength which in turn would be helpful in designing effective, relevant and robust network architecture for applications.. In this paper, we have analyzed a network from real life scenario using centrality measures in order to understand its structure, and have derived certain conclusions about the connectivity and robustness of the network based upon the observations. For carrying out the experiment Gephi tool is used. The results based upon the observations indicate that the network is robust, well-connected as well as reliable when seen from centrality point of view.

Data Science and Analytics, 2018

In today's era, organizations are developing applications which continuously and rapidly generate... more In today's era, organizations are developing applications which continuously and rapidly generates large amount of data. In this world of big data, NoSQL databases are rapidly becoming popular for storing information among organizations. Therefore, it is essential for an organization to choose a database which is compatible and efficient for their applications. To choose a correct database, it is essential to examine the performance of various databases under diverse workload conditions. In this paper, we are examining different document oriented databases on various workloads, so that we can categorize them according to application need. The evaluation has been performed on four NoSQL document oriented databases: MongoDB, ArangoDB, Elastic search and OrientDB with the help of Yahoo Cloud Service Benchmark (YCSB), which is a popular benchmark tool. Comparison is done in two parts: In the first part, all the databases are compared for single thread on the basis of throughput and runtime. Here, Mongo DB shows better results with highest throughput and lowest runtime among all the databases. In the second part, a thorough analysis is done in which MongoDB and ArangoDB are compared for some threads on different workloads. Here also, Mongo DB outperforms ArangoDB with a high percentage.

Lecture Notes in Electrical Engineering, 2018

In this era when data is generated continuously in various domains of machine learning, different... more In this era when data is generated continuously in various domains of machine learning, different algorithms are budding to improve and enhance the learning process. Clustering is one of such machine learning techniques. It is considered to be most important tool of unsupervised learning but it is sensitive to outlier. Thus it is essential to remove the outlier before clustering the data. Most of the outlier detection techniques require some user-defined parameters, which make their accuracy user-dependent. Thus an algorithm which is least dependent on user-defined values is proposed here. The algorithm takes number of cluster in which user want to cluster its data and detect outlier within those clusters using Silhouette Coefficient. The algorithm was compared with some of the existing algorithm in domain of outlier detection. And the experimental analysis is performed on some relevant benchmark dataset presented in UCI repository. Through the experimental results it can be seen th...

Journal of Telecommunication, Electronic and Computer Engineering, 2018

Water is an essential component required by living bodies for their survival. In today’s world, m... more Water is an essential component required by living bodies for their survival. In today’s world, most of the water utilization is done by human beings. Due to this, there is a lot of adverse impact on water bodies. As human consumption of water increases, their pollution also increases. In order to control pollution impact and take measures to reduce water pollution, several methods have been proposed by researchers. Water Quality Index measures are one such method being adopted and used to measure harmful constituents of water. In recent times initiatives have been taken by international and national governing bodies to provide data through Open Data Initiatives that can be publicly made available. This data fetched in real time through APIs can be used for providing data analysis to naive natives of the place with better understanding features like visualizations. Machine learning based techniques have proved to be a great tool for providing unsupervised learning in this area. We h...

Intelligent Decision Technologies, 2018

With the abundance of technology, digital natives prefer to be more comfortable and effortless. T... more With the abundance of technology, digital natives prefer to be more comfortable and effortless. They expect an instant, correct and crisp response to their queries. Keeping this in mind, this paper proposes an agent, HELP, which fetches the unstructured data from the web, aligns it with the structured knowledge base by transforming it into rules and updates the CLIPS knowledge base progressively. It helps to conquer the issue of format non-uniformity. The proposed model is simulated for a technical education university. The objective is to provide an interface to the newcomers who are unfamiliar with the rules, regulations, and policies of the new environment and at the same time reluctant to pose to seniors or faculty.

International Journal of Interactive Multimedia and Artificial Intelligence, 2018

With advanced innovation in digital technology, demand for virtual assistants is arising which ca... more With advanced innovation in digital technology, demand for virtual assistants is arising which can assist a person and at the same time, minimize the need for interaction with the human. Acknowledging the requirement, we propose an interactive and intelligent student assistant, StuA, which can help newcomer in a college who are hesitant in interacting with the seniors as they fear of being ragged. StuA is capable of answering all types of queries of a newcomer related to academics, examinations, library, hostel and extra curriculum activities. The model is designed using CLIPS which allows inferring using forward chaining. Nevertheless, a generalized algorithm for backward chaining for CLIPS is also implemented. Validation of the proposed model is presented in five steps which show that the model is complete and consistent with 99.16% accuracy of the knowledge model. Moreover, the backward chaining algorithm is found to be 100% accurate.