Appropriate spatial and traffic planning to create organized functional zones is critical for bus... more Appropriate spatial and traffic planning to create organized functional zones is critical for businesses aspiring to utilize their infrastructural resources in the most productive manner. The paper highlights the effect of an unorganized traffic plan on the business activities of a specific functional zone. The study was conducted in " Raja bazaar " , a major functional zone of Rawalpindi city, using a blend of both qualitative and quantitative techniques, by drawing a sample of 50 respondents. The economic activities of the functional zones were found to be significantly dependent upon a smooth traffic arrangement, which when sundered negatively affected the rate of customers, income, profit and thus the overall economy.
International Journal of Reliability and Safety, 2011
... Mechanical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31... more ... Mechanical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia Email: anwarks@kfupm.edu.sa Email: myounasa@kfupm.edu.sa Email: afmarif@kfupm.edu.sa Email: zuhair@kfupm.edu.sa *Corresponding author ...
International Journal of Production Research, 1999
... where no intermittent tool resetting is needed during its planned life cycle, has been extens... more ... where no intermittent tool resetting is needed during its planned life cycle, has been extensively discussed in the literature (Kendall and Sheikh 1980, Sheikh et 0020±7543/99 $12 00 Ñ 1999 Taylor & Francis Ltd. Revision received March 1998. ² King Fahd University of ...
International Journal of High Performance Computing and Networking, 2007
ABSTRACT Hidden Web databases dynamically generate results in response to users' queries.... more ABSTRACT Hidden Web databases dynamically generate results in response to users' queries. The categorisation of such databases into a category scheme has been widely employed in information searches. We present a Concept-based Categorisation over Refined Sampled Documents (CCReSD) approach that effectively handles information extraction, summarisation and categorisation of such databases. CCReSD detects and extracts query-related information from sampled documents of databases. It generates terms and frequencies to summarise database contents. It also generates descriptions of concepts from their coverage and specificity given in a category scheme. We conduct experiments to evaluate our approach and to show that it assigns databases with more relevant subject categories.
... All rights reserved 01421123 95 10.(X) +.00 A reliability model for fatigue life characteriza... more ... All rights reserved 01421123 95 10.(X) +.00 A reliability model for fatigue life characterization AK Sheikh and M. Younas Department of Mechanical Engineering, King Fahd University of Petroleum Minera s, Dhahran 31261, Saudi Arabia (Received 4 May 1994; revised 29 July ...
ABSTRACT Rapid advances in software systems, wireless networks, and embedded devices have led to ... more ABSTRACT Rapid advances in software systems, wireless networks, and embedded devices have led to the development of a pervasive and mobile cyberspace that provides an infrastructure for anywhere/anytime service provisioning in different domains such as engineering, commerce, education, and entertainment. This style of service provisioning enables users to freely move between geographical areas and to continuously access information and conduct online transactions. However, such a high mobility may cause performance and reliability problems during the execution of transactions. For example, the unavailability of sufficient bandwidth can result in failure of transactions when users move from one area (cell) to another. We present a context-aware transaction model that dynamically adapts to the users' needs and execution environments. Accordingly, we develop a new mobility management scheme that ensures seamless connectivity and reliable execution of context-aware transactions during mobility of users. The proposed scheme is designed and developed using a combination of different queuing models. We conduct various experiments in order to show that the proposed scheme optimizes the mobility management process and increases the throughput of context-aware transactions.
ABSTRACT An increasing number of data applications such as monitoring weather data, data streamin... more ABSTRACT An increasing number of data applications such as monitoring weather data, data streaming, data web logs, and cloud data, are going online and are playing vital in our every-day life. The underlying data of such applications change very frequently, especially in the cloud environment. Many interesting events can be detected by discovering such data from different distributed sources and analyzing it for specific purposes (e.g., car accident detection or market analysis). However, several isolated events could be erroneous due to the fact that important data sets are either discarded or improperly analysed as they contain missing data. Such events therefore need to be monitored globally and be detected jointly in order to understand their patterns and correlated relationships. In the context of current cloud computing infrastructure, no solutions exist for enabling the correlations between multi-source events in the presence of missing data. This paper addresses the problem of capturing the underlying latent structure of the data with missing entries based on association rules.This necessitate to factorize the data set with missing data. The paper proposes a novel model to handle high amount of data in cloud environment. It is a model of aggregated data that are confidences of associations rules. We first propose a method to discover the association rules locally on each node of a cloud in presence of missing rules. Afterward, we provide a tensor based model to perform a global correlation between all the local models of each node of the network. The proposed approach based on tensor decomposition, deals with a multi modal network where missing association rules are detected and their confidences are approximated. The approach is scalable in terms of factorizing multi-way arrays (i.e. tensor) in the presence of missing association rules. It is validated through experimental results which show its significance and viability in terms of detecting missing rules.
Appropriate spatial and traffic planning to create organized functional zones is critical for bus... more Appropriate spatial and traffic planning to create organized functional zones is critical for businesses aspiring to utilize their infrastructural resources in the most productive manner. The paper highlights the effect of an unorganized traffic plan on the business activities of a specific functional zone. The study was conducted in " Raja bazaar " , a major functional zone of Rawalpindi city, using a blend of both qualitative and quantitative techniques, by drawing a sample of 50 respondents. The economic activities of the functional zones were found to be significantly dependent upon a smooth traffic arrangement, which when sundered negatively affected the rate of customers, income, profit and thus the overall economy.
International Journal of Reliability and Safety, 2011
... Mechanical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31... more ... Mechanical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia Email: anwarks@kfupm.edu.sa Email: myounasa@kfupm.edu.sa Email: afmarif@kfupm.edu.sa Email: zuhair@kfupm.edu.sa *Corresponding author ...
International Journal of Production Research, 1999
... where no intermittent tool resetting is needed during its planned life cycle, has been extens... more ... where no intermittent tool resetting is needed during its planned life cycle, has been extensively discussed in the literature (Kendall and Sheikh 1980, Sheikh et 0020±7543/99 $12 00 Ñ 1999 Taylor & Francis Ltd. Revision received March 1998. ² King Fahd University of ...
International Journal of High Performance Computing and Networking, 2007
ABSTRACT Hidden Web databases dynamically generate results in response to users' queries.... more ABSTRACT Hidden Web databases dynamically generate results in response to users' queries. The categorisation of such databases into a category scheme has been widely employed in information searches. We present a Concept-based Categorisation over Refined Sampled Documents (CCReSD) approach that effectively handles information extraction, summarisation and categorisation of such databases. CCReSD detects and extracts query-related information from sampled documents of databases. It generates terms and frequencies to summarise database contents. It also generates descriptions of concepts from their coverage and specificity given in a category scheme. We conduct experiments to evaluate our approach and to show that it assigns databases with more relevant subject categories.
... All rights reserved 01421123 95 10.(X) +.00 A reliability model for fatigue life characteriza... more ... All rights reserved 01421123 95 10.(X) +.00 A reliability model for fatigue life characterization AK Sheikh and M. Younas Department of Mechanical Engineering, King Fahd University of Petroleum Minera s, Dhahran 31261, Saudi Arabia (Received 4 May 1994; revised 29 July ...
ABSTRACT Rapid advances in software systems, wireless networks, and embedded devices have led to ... more ABSTRACT Rapid advances in software systems, wireless networks, and embedded devices have led to the development of a pervasive and mobile cyberspace that provides an infrastructure for anywhere/anytime service provisioning in different domains such as engineering, commerce, education, and entertainment. This style of service provisioning enables users to freely move between geographical areas and to continuously access information and conduct online transactions. However, such a high mobility may cause performance and reliability problems during the execution of transactions. For example, the unavailability of sufficient bandwidth can result in failure of transactions when users move from one area (cell) to another. We present a context-aware transaction model that dynamically adapts to the users' needs and execution environments. Accordingly, we develop a new mobility management scheme that ensures seamless connectivity and reliable execution of context-aware transactions during mobility of users. The proposed scheme is designed and developed using a combination of different queuing models. We conduct various experiments in order to show that the proposed scheme optimizes the mobility management process and increases the throughput of context-aware transactions.
ABSTRACT An increasing number of data applications such as monitoring weather data, data streamin... more ABSTRACT An increasing number of data applications such as monitoring weather data, data streaming, data web logs, and cloud data, are going online and are playing vital in our every-day life. The underlying data of such applications change very frequently, especially in the cloud environment. Many interesting events can be detected by discovering such data from different distributed sources and analyzing it for specific purposes (e.g., car accident detection or market analysis). However, several isolated events could be erroneous due to the fact that important data sets are either discarded or improperly analysed as they contain missing data. Such events therefore need to be monitored globally and be detected jointly in order to understand their patterns and correlated relationships. In the context of current cloud computing infrastructure, no solutions exist for enabling the correlations between multi-source events in the presence of missing data. This paper addresses the problem of capturing the underlying latent structure of the data with missing entries based on association rules.This necessitate to factorize the data set with missing data. The paper proposes a novel model to handle high amount of data in cloud environment. It is a model of aggregated data that are confidences of associations rules. We first propose a method to discover the association rules locally on each node of a cloud in presence of missing rules. Afterward, we provide a tensor based model to perform a global correlation between all the local models of each node of the network. The proposed approach based on tensor decomposition, deals with a multi modal network where missing association rules are detected and their confidences are approximated. The approach is scalable in terms of factorizing multi-way arrays (i.e. tensor) in the presence of missing association rules. It is validated through experimental results which show its significance and viability in terms of detecting missing rules.
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Papers by Muhammad Raza Younas