Satish Ranbhise - Academia.edu (original) (raw)
Papers by Satish Ranbhise
International journal of engineering research and technology, Apr 24, 2018
Web-based systems are nowadays popular in many different areas, with the users tend to deliver cu... more Web-based systems are nowadays popular in many different areas, with the users tend to deliver customized information by means of utilization of recommendation methods. The recommendation techniques are collaborative, content-base and by means of genetic algorithm are used in existing systems. They recommend user those items which are based on history and are designed to allow users to locate the preferable items quickly and to avoid the possible information overloads. In this paper, we presented a recommender system for audio files. This system can identify the nnumber of user's preferences and adaptively recommends music tracks according to user preferences.
International journal of engineering research and technology, Apr 24, 2018
Cloud computing is an area that is rapidly gaining popularity in both academia and industry. Ther... more Cloud computing is an area that is rapidly gaining popularity in both academia and industry. There are different resources in cloud like Virtual Machine ,CPU resource, server located in different datacenter. The server machines are consuming energy to provide services to users in cloud computing. For analyzing the resource allocation in cloud computing which is scalable to n servers then we will require Cloud simulation and modeling tool which will take create the cloud as per requirement. we have analyzed simulation of cloud on CloudSim and Cloud report for better analysis of cloud..Load balancing helps to achieve a high user satisfaction and resource utilization ratio by ensuring an efficient and fair allocation of every computing resource. load balancing aids in minimizing resource consumption, implementing fail-over, enabling scalability, avoiding bottlenecks and over-provisioning etc. In this paper a load balancing algorithm to balance the load among virtual machines in cloud data center.
International journal of engineering research and technology, Apr 24, 2018
Cloud computing is the new technology, which is totally dependent on the internet to maintain lar... more Cloud computing is the new technology, which is totally dependent on the internet to maintain large applications, where data is shared over one platform to provide better services to the clients belonging to a different organization. Load balancing is one of the main challenges in cloud computing. It is a technique which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overloaded. So that Load balancing techniques help in optimal utilization of resources and hence in enhancing the overall performance of the system. The goal of load balancing is to minimize the resource consumption which will further reduce energy consumption .Its main motive is to optimize the usage of resources, boost turnout, fault tolerance, scalability, increase throughput, response time, etc [1]. It becomes a severe problem with the increase in list of users and types of applications on cloud. The main highlights of this paper is on the load balancing techniques in cloud computing. clients' requirement at specific time. It's a term which is generally used in case of Internet. The whole Internet can be viewed as a cloud. Capital and operational costs can be cut using cloud computing.
arXiv (Cornell University), Sep 25, 2010
Text classification is the process of classifying documents into predefined categories based on t... more Text classification is the process of classifying documents into predefined categories based on their content. It is the automated assignment of natural language texts to predefined categories. Text classification is the primary requirement of text retrieval systems, which retrieve texts in response to a user query, and text understanding systems, which transform text in some way such as producing summaries, answering questions or extracting data. Existing supervised learning algorithms to automatically classify text need sufficient documents to learn accurately. This paper presents a new algorithm for text classification using data mining that requires fewer documents for training. Instead of using words, word relation i.e. association rules from these words is used to derive feature set from pre-classified text documents. The concept of Naïve Bayes classifier is then used on derived features and finally only a single concept of Genetic Algorithm has been added for final classification. A system based on the proposed algorithm has been implemented and tested. The experimental results show that the proposed system works as a successful text classifier.
2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW), 2020
Biometric authentication is a method of identifying individuals for security purpose based on the... more Biometric authentication is a method of identifying individuals for security purpose based on the distinctive physiological characteristics of a person for verification and authentication. The use of biometrics provides a more definitive security layer in identification authentication of users in many fields. Biometric authentications can be implemented using finger print, iris, skin and voice and so on. Vein pattern is an extensive group of blood vessels underneath an individual's skin. These vein patterns are considered to be distinct and special to each individual and they are invariant in proportion. Taking in considerations the drawbacks of other biometric recognition methods, hand vein biometric is selected, as it is efficacious, guaranteed, secure and highly reliable for identification, authentication of individuals. So as to enable biometric authentication, cost effective scanning devices are brought into use. The device includes the use of No IR camera which is used for...
International journal of engineering research and technology, 2018
Cloud computing is the new technology, which is totally dependent on the internet to maintain lar... more Cloud computing is the new technology, which is totally dependent on the internet to maintain large applications, where data is shared over one platform to provide better services to the clients belonging to a different organization. Load balancing is one of the main challenges in cloud computing. It is a technique which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overloaded. So that Load balancing techniques help in optimal utilization of resources and hence in enhancing the overall performance of the system. The goal of load balancing is to minimize the resource consumption which will further reduce energy consumption .Its main motive is to optimize the usage of resources, boost turnout, fault tolerance, scalability, increase throughput, response time, etc [1]. It becomes a severe problem with the increase in list of users and types of applications on cloud. The main highlights of this paper is on the load balancing techniq...
Cloud computing has emerged as a popular solution to provide easy access to externalized IT resou... more Cloud computing has emerged as a popular solution to provide easy access to externalized IT resources. An increasing number of organizations benefit from Cloud computing to system their applications. One of its major advantages leading to its widespread application includes concepts of virtualization. There are different resources in cloud environment like Virtual Machine ,CPU resource, Memory ,Hard disk space of server machines located in datacenter. The server machines are consuming energy to provide services to users in cloud computing. For analyzing the resource allocation in cloud computing environment which is scalable to n servers then we will require Cloud simulation and modeling tool which will take create the cloud as per requirement. In this paper we have analyzed simulation of cloud on CloudSim and Cloud report for better analysis of cloud environment.
International journal of engineering research and technology, 2018
Cloud computing is an area that is rapidly gaining popularity in both academia and industry. Ther... more Cloud computing is an area that is rapidly gaining popularity in both academia and industry. There are different resources in cloud like Virtual Machine ,CPU resource, server located in different datacenter. The server machines are consuming energy to provide services to users in cloud computing. For analyzing the resource allocation in cloud computing which is scalable to n servers then we will require Cloud simulation and modeling tool which will take create the cloud as per requirement. we have analyzed simulation of cloud on CloudSim and Cloud report for better analysis of cloud..Load balancing helps to achieve a high user satisfaction and resource utilization ratio by ensuring an efficient and fair allocation of every computing resource. load balancing aids in minimizing resource consumption, implementing fail-over, enabling scalability, avoiding bottlenecks and over-provisioning etc. In this paper a load balancing algorithm to balance the load among virtual machines in cloud data center.
International journal of engineering research and technology, 2018
Today’s Web provides static and structured information for its users. Most of its contents are st... more Today’s Web provides static and structured information for its users. Most of its contents are stored in the database. From a machine point of view a information having associated information is very difficult to be processed and hence information on the web cannot be manipulated by a computer. This paper tries to find out technologies used to make web semantic in manufacturing Industries. Keywords—Performance evaluation,Semantic Web, Cloud
With growing popularity of the web-based systems th at are applied in many different areas, they ... more With growing popularity of the web-based systems th at are applied in many different areas, they tend t o eliver customized information for their users by means of utilization of recommendation methods. The recommen dation techniques: content-based, collaborative and by mea ns of genetic algorithm are used in existing system . They recommend user those items which are based on past history of the user but user’s intention is not foc used. This paper proposes Genetic algorithm for recommendation by generating new mutations by providing optimized solution every time and which is based on user’s pr eferences.
International Journal of Nursing Education and Research, 2014
ABSTRACTBackgroundQatar experienced a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2... more ABSTRACTBackgroundQatar experienced a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic that disproportionately affected the craft and manual worker (CMW) population who comprise 60% of the total population. This study aimed to assess the proportions of ever and/or current infection in this population.MethodsA cross-sectional population-based survey was conducted during July 26-September 09, 2020 to assess both anti-SARS-CoV-2 positivity through serological testing and polymerase chain reaction (PCR) positivity through PCR testing. Associations with antibody and PCR positivity were identified through regression analyses.ResultsStudy included 2,641 participants, 69.3% of whom were <40 years of age. Anti-SARS-CoV-2 positivity was estimated at 55.3% (95% CI: 53.3-57.3%) and was significantly associated with nationality, geographic location, educational attainment, occupation, presence of symptoms in the two weeks preceding the survey, and previous infection diagn...
Open Forum Infectious Diseases, 2021
Background Qatar experienced a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epide... more Background Qatar experienced a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic that disproportionately affected the craft and manual worker (CMW) population, who comprise 60% of the total population. This study aimed to assess ever and/or current infection prevalence in this population. Methods A cross-sectional population-based survey was conducted during July 26 to September 09, 2020, to assess both anti-SARS-CoV-2 positivity through serological testing and current infection positivity through polymerase chain reaction (PCR) testing. Associations with antibody and PCR positivity were identified through regression analyses. Results The study included 2641 participants, 69.3% of whom were <40 years of age. Anti-SARS-CoV-2 positivity was 55.3% (95% CI, 53.3%–57.3%) and was significantly associated with nationality, geographic location, educational attainment, occupation, and previous infection diagnosis. PCR positivity was 11.3% (95% CI, 9.9%–12.8%) and was s...
Cloud computing is an area that is rapidly gaining popularity in both academia and industry. Clou... more Cloud computing is an area that is rapidly gaining popularity in both academia and industry. CloudAnalyst is useful tool to model and analyze cloud computing environment and applications before actual deployment of cloud products. Service broker controls the traffic routing between user bases and data centers based on different service broker policies. Service proximity based routing policy selects closest data center to route the user request. If there are more than one data centers within the same region, it is selected randomly without considering workload, cost, processing time or other parameters. Randomly selected data center is prone to give unsatisfactory results in term of response time, resource utilization, cost or other parameters. In this paper we propose a service broker policy which distributes the requests based on the priority of data centers and gives better performance in cloud analyst.
International journal of engineering research and technology, Apr 24, 2018
Web-based systems are nowadays popular in many different areas, with the users tend to deliver cu... more Web-based systems are nowadays popular in many different areas, with the users tend to deliver customized information by means of utilization of recommendation methods. The recommendation techniques are collaborative, content-base and by means of genetic algorithm are used in existing systems. They recommend user those items which are based on history and are designed to allow users to locate the preferable items quickly and to avoid the possible information overloads. In this paper, we presented a recommender system for audio files. This system can identify the nnumber of user's preferences and adaptively recommends music tracks according to user preferences.
International journal of engineering research and technology, Apr 24, 2018
Cloud computing is an area that is rapidly gaining popularity in both academia and industry. Ther... more Cloud computing is an area that is rapidly gaining popularity in both academia and industry. There are different resources in cloud like Virtual Machine ,CPU resource, server located in different datacenter. The server machines are consuming energy to provide services to users in cloud computing. For analyzing the resource allocation in cloud computing which is scalable to n servers then we will require Cloud simulation and modeling tool which will take create the cloud as per requirement. we have analyzed simulation of cloud on CloudSim and Cloud report for better analysis of cloud..Load balancing helps to achieve a high user satisfaction and resource utilization ratio by ensuring an efficient and fair allocation of every computing resource. load balancing aids in minimizing resource consumption, implementing fail-over, enabling scalability, avoiding bottlenecks and over-provisioning etc. In this paper a load balancing algorithm to balance the load among virtual machines in cloud data center.
International journal of engineering research and technology, Apr 24, 2018
Cloud computing is the new technology, which is totally dependent on the internet to maintain lar... more Cloud computing is the new technology, which is totally dependent on the internet to maintain large applications, where data is shared over one platform to provide better services to the clients belonging to a different organization. Load balancing is one of the main challenges in cloud computing. It is a technique which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overloaded. So that Load balancing techniques help in optimal utilization of resources and hence in enhancing the overall performance of the system. The goal of load balancing is to minimize the resource consumption which will further reduce energy consumption .Its main motive is to optimize the usage of resources, boost turnout, fault tolerance, scalability, increase throughput, response time, etc [1]. It becomes a severe problem with the increase in list of users and types of applications on cloud. The main highlights of this paper is on the load balancing techniques in cloud computing. clients' requirement at specific time. It's a term which is generally used in case of Internet. The whole Internet can be viewed as a cloud. Capital and operational costs can be cut using cloud computing.
arXiv (Cornell University), Sep 25, 2010
Text classification is the process of classifying documents into predefined categories based on t... more Text classification is the process of classifying documents into predefined categories based on their content. It is the automated assignment of natural language texts to predefined categories. Text classification is the primary requirement of text retrieval systems, which retrieve texts in response to a user query, and text understanding systems, which transform text in some way such as producing summaries, answering questions or extracting data. Existing supervised learning algorithms to automatically classify text need sufficient documents to learn accurately. This paper presents a new algorithm for text classification using data mining that requires fewer documents for training. Instead of using words, word relation i.e. association rules from these words is used to derive feature set from pre-classified text documents. The concept of Naïve Bayes classifier is then used on derived features and finally only a single concept of Genetic Algorithm has been added for final classification. A system based on the proposed algorithm has been implemented and tested. The experimental results show that the proposed system works as a successful text classifier.
2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW), 2020
Biometric authentication is a method of identifying individuals for security purpose based on the... more Biometric authentication is a method of identifying individuals for security purpose based on the distinctive physiological characteristics of a person for verification and authentication. The use of biometrics provides a more definitive security layer in identification authentication of users in many fields. Biometric authentications can be implemented using finger print, iris, skin and voice and so on. Vein pattern is an extensive group of blood vessels underneath an individual's skin. These vein patterns are considered to be distinct and special to each individual and they are invariant in proportion. Taking in considerations the drawbacks of other biometric recognition methods, hand vein biometric is selected, as it is efficacious, guaranteed, secure and highly reliable for identification, authentication of individuals. So as to enable biometric authentication, cost effective scanning devices are brought into use. The device includes the use of No IR camera which is used for...
International journal of engineering research and technology, 2018
Cloud computing is the new technology, which is totally dependent on the internet to maintain lar... more Cloud computing is the new technology, which is totally dependent on the internet to maintain large applications, where data is shared over one platform to provide better services to the clients belonging to a different organization. Load balancing is one of the main challenges in cloud computing. It is a technique which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overloaded. So that Load balancing techniques help in optimal utilization of resources and hence in enhancing the overall performance of the system. The goal of load balancing is to minimize the resource consumption which will further reduce energy consumption .Its main motive is to optimize the usage of resources, boost turnout, fault tolerance, scalability, increase throughput, response time, etc [1]. It becomes a severe problem with the increase in list of users and types of applications on cloud. The main highlights of this paper is on the load balancing techniq...
Cloud computing has emerged as a popular solution to provide easy access to externalized IT resou... more Cloud computing has emerged as a popular solution to provide easy access to externalized IT resources. An increasing number of organizations benefit from Cloud computing to system their applications. One of its major advantages leading to its widespread application includes concepts of virtualization. There are different resources in cloud environment like Virtual Machine ,CPU resource, Memory ,Hard disk space of server machines located in datacenter. The server machines are consuming energy to provide services to users in cloud computing. For analyzing the resource allocation in cloud computing environment which is scalable to n servers then we will require Cloud simulation and modeling tool which will take create the cloud as per requirement. In this paper we have analyzed simulation of cloud on CloudSim and Cloud report for better analysis of cloud environment.
International journal of engineering research and technology, 2018
Cloud computing is an area that is rapidly gaining popularity in both academia and industry. Ther... more Cloud computing is an area that is rapidly gaining popularity in both academia and industry. There are different resources in cloud like Virtual Machine ,CPU resource, server located in different datacenter. The server machines are consuming energy to provide services to users in cloud computing. For analyzing the resource allocation in cloud computing which is scalable to n servers then we will require Cloud simulation and modeling tool which will take create the cloud as per requirement. we have analyzed simulation of cloud on CloudSim and Cloud report for better analysis of cloud..Load balancing helps to achieve a high user satisfaction and resource utilization ratio by ensuring an efficient and fair allocation of every computing resource. load balancing aids in minimizing resource consumption, implementing fail-over, enabling scalability, avoiding bottlenecks and over-provisioning etc. In this paper a load balancing algorithm to balance the load among virtual machines in cloud data center.
International journal of engineering research and technology, 2018
Today’s Web provides static and structured information for its users. Most of its contents are st... more Today’s Web provides static and structured information for its users. Most of its contents are stored in the database. From a machine point of view a information having associated information is very difficult to be processed and hence information on the web cannot be manipulated by a computer. This paper tries to find out technologies used to make web semantic in manufacturing Industries. Keywords—Performance evaluation,Semantic Web, Cloud
With growing popularity of the web-based systems th at are applied in many different areas, they ... more With growing popularity of the web-based systems th at are applied in many different areas, they tend t o eliver customized information for their users by means of utilization of recommendation methods. The recommen dation techniques: content-based, collaborative and by mea ns of genetic algorithm are used in existing system . They recommend user those items which are based on past history of the user but user’s intention is not foc used. This paper proposes Genetic algorithm for recommendation by generating new mutations by providing optimized solution every time and which is based on user’s pr eferences.
International Journal of Nursing Education and Research, 2014
ABSTRACTBackgroundQatar experienced a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2... more ABSTRACTBackgroundQatar experienced a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic that disproportionately affected the craft and manual worker (CMW) population who comprise 60% of the total population. This study aimed to assess the proportions of ever and/or current infection in this population.MethodsA cross-sectional population-based survey was conducted during July 26-September 09, 2020 to assess both anti-SARS-CoV-2 positivity through serological testing and polymerase chain reaction (PCR) positivity through PCR testing. Associations with antibody and PCR positivity were identified through regression analyses.ResultsStudy included 2,641 participants, 69.3% of whom were <40 years of age. Anti-SARS-CoV-2 positivity was estimated at 55.3% (95% CI: 53.3-57.3%) and was significantly associated with nationality, geographic location, educational attainment, occupation, presence of symptoms in the two weeks preceding the survey, and previous infection diagn...
Open Forum Infectious Diseases, 2021
Background Qatar experienced a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epide... more Background Qatar experienced a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic that disproportionately affected the craft and manual worker (CMW) population, who comprise 60% of the total population. This study aimed to assess ever and/or current infection prevalence in this population. Methods A cross-sectional population-based survey was conducted during July 26 to September 09, 2020, to assess both anti-SARS-CoV-2 positivity through serological testing and current infection positivity through polymerase chain reaction (PCR) testing. Associations with antibody and PCR positivity were identified through regression analyses. Results The study included 2641 participants, 69.3% of whom were <40 years of age. Anti-SARS-CoV-2 positivity was 55.3% (95% CI, 53.3%–57.3%) and was significantly associated with nationality, geographic location, educational attainment, occupation, and previous infection diagnosis. PCR positivity was 11.3% (95% CI, 9.9%–12.8%) and was s...
Cloud computing is an area that is rapidly gaining popularity in both academia and industry. Clou... more Cloud computing is an area that is rapidly gaining popularity in both academia and industry. CloudAnalyst is useful tool to model and analyze cloud computing environment and applications before actual deployment of cloud products. Service broker controls the traffic routing between user bases and data centers based on different service broker policies. Service proximity based routing policy selects closest data center to route the user request. If there are more than one data centers within the same region, it is selected randomly without considering workload, cost, processing time or other parameters. Randomly selected data center is prone to give unsatisfactory results in term of response time, resource utilization, cost or other parameters. In this paper we propose a service broker policy which distributes the requests based on the priority of data centers and gives better performance in cloud analyst.