Lahore Garrison University Research Journal of Computer Science and Information Technology
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227 research outputs found
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Cloud Based Intelligent Decision Support System for Disaster Management Using Fuzzy Logic
Field of cloud computing is an emerging field in computer science. Computational intelligence and Decision support systems (DSS) have to gain concern as a computing solution to planned and unplanned problems of organizations in order to progress decision-making tasks in a better way. In today era, Disaster management is a big problem. To overcome this problem, a real time computation is required. Cloud computing is a tool to offer promising support to decision support system in a real time environment. In this paper, a fuzzy based decision support system is proposed to meet all the requirements using fuzzy logic inference system
Statistical Power Profiling of Various Network Switches
In the present century there is an expansion in the use of telecommunication network services, because many organizations and business firms do not compromise on networking services, therefore this efficiency of networking services can be achieved only if there are reliable and proficient networking components. To provide exemplary networking services it is necessary to know what are the parameters for networking components. A standout amongst the most vital parameters is the vitality utilization or energy utilization of networking components. Subsequently, there is a need for power profiling of the network switches. Power usage of different kinds of switches, under various load scenarios are tested and recorded. The tool that we have used in this research paper to measure the powerusage factor of various switches is emonpi
Analysis and Evaluation of Requirement Engineering Process at NorthBay Solutions
Requirement engineering has become an essential part as it deals with the process of definition,documentation and maintenance of requirements for software product. Requirement Engineeringstandards like IEEE/ISO/IEC has defined a standardized approach for Requirement Engineeringprocess in developing software solutions. In Pakistan a great range of software houses does notfollows any standardized approach to build software solutions. This research is aiming to help thosegraduating students and others who are not clear about the actual implementation of RequirementEngineering process in the industry. Interviews with Project Leads have been carried out to inquireabout the Requirement Engineering standards and process implementation at ‘NorthBay Solutions’Lahore. Results deduced from this will help students and researchers to get familiar withimplemented solutions of requirement engineering process
Performance Comparison of Real-Time Video Conferencing In MPLS and IP Networking Environment
Modern techniques in networking have evolved a diverse range of opportunities to resolve the challenging task of traffic engineering. With a principle focus on video conferencing that has gained popularity worldwide, we contrive to optimize video traffic by using Multiprotocol Label Switching (MPLS) rather than conventional Internet Protocol (IP) networks. MPLS can be a promising technology for real-time applications with low network delays and efficient utilization of network resources. To substantiate this, in this paper we model certain scenarios of both IP and MPLS networks using Optimized Networking Engineering Tool (OPNET) to simulate and provide comparative performance statistics of throughput and end-to-end packet delay. We illustrate that MPLS has the ability that makes it stand out to IP by analyzing the simulation results of both networking mechanisms
Cloud Based Intelligent Decision Support System for Disaster Management Using Fuzzy Logic
Field of cloud computing is an emerging field in computer science. Computational intelligence and Decisions Supports Systems (DSS) have to gained concerns as a computing solution to planned and unplanned problems of organizations in order to progress decision-making tasks in a better way. In today era, Disaster management is a big problem. To overcome this problem, a real time computation is required. Cloud computing is a tool to offer promising support to decision support system in a real time environment. In this paper, a fuzzy based decision support system is proposed to meet all the requirements using fuzzy logic inference system
Automation of Blood Cancer Risk Analysis Using Fuzzy Logic
The statistical estimation of the cancer research center shows that approximate 23 million new cases were recorded in 2010 in all over the world. Blood cancer is a deadly disease and have different categories. Symptom of every category is different, but some initial symptoms are same. Research and statistics show that in the majority of cases, people know about the disease when it became too late. Fuzzy is being used in plentiful field like engineering, data mining, medical, science and Computational computing. This research work proposes a method which can be able to assist the doctor in diagnosis of blood Cancer. Fuzzy introduce varies inference but famous fuzzy inference types are Mamdani and TSK. In this article Mamdani Inference System has been proposed to measure the Blood Cancer Detector (BCD). The proposed method Fuzzy Logic based Blood Cancer Detector (BCD) is taking 10 input parameters and 1 output variable. The input variables are BI (Blood Infection), Bleeding, Pains, SC (skin changes), AD (Abdominal Discomforts), VP (Vision problem), WL (weight loss), BP (Bladder problems), fatigue & TP (throat problems), and output variable is BCD
Cloud Information Security Challenges and Accountable Solutions
Cloud computing model is an advanced framework which utilizes consolidated idea of “utilitycomputing” and “software-as-a-service”, providing convenient and on-demand services torequested end users. Security in cloud figuring is a basic angle confronting a few issues that must bemulled over. Safety from any sort of external threats must be taken into care by the cloud serviceprovider and consumer so that any data theft issue is not faced by the customer afterwards. Aprobability emerges that a noxious customer can invade the cloud by having honest customers,therefore defiling the entire cloud and affecting various customers who are sharing the tainted cloudin the meantime. This exploration covers the parameters that impact the security of the cloud and itin this way it also examines cloud security issues looked by cloud expert centres and purchasers ofcloud, for instance, data integrity and other security issues
Algorithm for Coding Person’s Names in large Databases / Data Warehouses to Enhance Processing Speed, Efficiency and Reduce Storage Requirements
oai:ojs2.lgurjcsit.lgu.edu.pk:article/1A technique to codify the names of people in Databases andData warehouses to reduce the storage requirements and enhanceprocessing speed is presented. It is estimated that the storage requirementcan be reduced, which is normally dominated by the entries of first name,middle name and last name and storage requirements for Datawarehouses keep on increasing. The scheme of the Algorithm replacesthe first name, middle name and last name in numeric charterers insteadof alpha characters for storage. It decodes them into actual AlphaCharacters at the time retrieval
Performance Analysis of Hardware Protection & System Security in Different Operating Systems
The intention of article is to protect the hardware, which includes protecting CPU, I/O, and memory. This article portrays and relates the security in different operating systems. Therefore, helping us to choose the best. We can evaluate the security in different operating systems like Windows, UNIX, Linux to secure over all data to access unauthorized users
Analyzing and Resolving Issues in Software Project Risk Management
In last decade the main reason for projects failure is poormanagement of software. But now a day’s most of the organizations arefocusing on software project management for making project successful.Software project management provides overall management of softwarefrom project planning phase to project execution. In software projectmanagement we also deal with risks that may occur during developmentof projects. In this paper we analyze risks during management ofsoftware and we resolve issues that come in software project riskmanagement. We introduce some approaches by which we can resolveall the issues regarding software risk management. Risk managementalso suggests us that how we can avoid risks and if risks occur then howwe can control those risks. By analyzing software risk management, wecome to know that what factors affect risk management and how we canremove them. Software risk management manages all risks efficientlyand makes our project successful