Global Journal of Computer Science and Technology (GJCST)
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Analysis of Heart Disease using in Data Mining Tools Orange and Weka
Get PDFHealth care is an inevitable task to be done in human life Health concern business has become a notable field in the wide spread area of medical science Health care industry contains large amount of data and hidden information Effective decisions are made with this hidden information by applying patient however with data mining these tests could be reduced But there is a lack of analyzing tool according to provide effective test outcomes together with the hidden information so and such system is developed using data mining algorithms for classifying the data and to detect the heart diseases Data mining acts so a solution by many healthcare problems Na ve Bayes SVM Random Forest KNN algorithm is one such data mining method which serves with the diagnosis regarding heart diseases patient This paper analyzes few parameters and predicts heart diseases thereby suggests a heart diseases prediction system HDPS based total on the data mining approache
Employeeas Performance Analysis and Prediction Using K-means Clustering
Get PDFEmployee is the key element of the organization. The success or failure of an organization depends on the employee performance. Hybrid procedure based o
BER Performance Analysis of MIMO-WiMAX Wireless Communication System for the Transportation of Multimedia Data
Get PDFAnalogical study of Support Vector Machine (SVM) and Neural Network in Vehicleas Number Plate Detection
Get PDFFormal grammars, studied by N. Chomsky for the definition of equivalence with languages and models of computing, have been a useful tool in the development of compilers, programming languages, natural language processing, automata theory, etc. The words or symbols of these formal languages can denote deduced actions that correspond to specific behaviors of a robotic entity or agent that interacts with an environment. The primary objective of this paper pretend to represent and generate simple behaviors of artificial agents. Reinforcement learning techniques, grammars, and languages, as defined based on the model of the proposed system were applied to the typical case of the ideal route on the problem of artificial ant. The application of such techniques proofs the viability of building robots that might learn through interaction with the environment
E-Governance Implementation: Challenges of Effective Service Delivery in Civil Service of Nepal
Get PDFCivil servants are often charged not providing effective services though they have sufficient resources and technological knowhow. The author is trying to explore the challenges of effective service delivery in civil service as implementing e-governance in Nepal. Survey method was used to generate data and adopted quantitative research technique. The study has claimed that Nepal has been facing numerous challenges during service delivery while implementing e-governance. Infrastructure development, human resource development and management, digital divide, are identified as the major challenges. Unnecessary influence of middleman and syndicate created by some hidden groups make government service holdup. Needless expansion of government agencies and its employees; too many layers in decision-making process; more process oriented service delivery rather than result oriented, failure to make individual officials responsible; and a lack of decentralization of necessary authority to the officials are the other challenges
Network Security Intelligence for Small and Medium Scale Industry 4.0: Design and Implementation
Get PDFThe development of Internet of Things (IOT) technology became one of the proponents in the industrial revolution 4.0. Digital transformation began to be applied to the entire manufacturing industry, services, transportation and education which have slowly shifted utilizing IOT technology. The industrial revolution 4.0 has an impact on digital transformation and becomes a necessity that can change business patterns such as the ease of data interaction services between industries to customers that are also supported by ease of access and speed of decision making. However, in its development, stakeholders tend to focus on infrastructure and information systems, while the security of information systems is still a comfort zone for industries in the transformation to industry 4.0. The issue of information system security will be a challenge for the industry with open access to information systems, otherwise focus will hamper the business process of the industry. In this research will be discussed about the modeling and implementation of information system security with a combination of web-based security methods with port knocking firewall model and short message service gateway as a security medium with the concept of ease of access with safe and comfortable. The result of this research has been testing penetration testing using network tools
Performance Analysis of Different Open Flow Based Controller Over Software Defined Networking
Get PDFSoftware Defined Networking (SDN) is a new networking paradigm where control plane is separated from data plane. Over the past several years, SDN has emerged as a compelling paradigm for developing and deploying new network capabilities and services. OpenFlow is the most commonly deployed Software Defined Networking architecture. Multiple networking switches can be controlled by a single centralized controlled OpenFlow controller. Different Python and Java based OpenFlow controller are available for Software Defined Networking. This paper implements Ryu, POX and Pyretic OpenFlow based Python controller in tree networking topology over Software Defined Networking. The result of this paper shows that these Python based OpenFlow controller performs well over SDN. All the implementation of different controller has been done using Mininet Emulator. The result of this paper also shows Pyretic controller has an excellent performance over Software Defined Networking compare to POX and Ryu Controller
Performance and Improvement of Various Antennas in Modern Wireless Communication System
Get PDFToday, the importance of wireless communication is known around the world. To achieve better communication, many techniques and methods have been introduced. Among these techniques, intelligent / adaptive antennas are a hot topic in the field of research. Smart antennas consist of several antenna arrays and are able to optimize the radiation and reception of dynamically desired signals. In order to avoid or mitigate interference, smart antennas may also introduce zero values towards the receivers by adaptively updating the weights associated with each antenna element. Smart antennas can also improve reception quality and reduce missed calls. The various existing surveys are also discussed to identify the research deficit for the scope of future research
A Review of Real World Big Data Processing Structure: Problems and Solutions
Get PDFInformation sort and sum in human culture is developing in astonishing pace which is brought about by rising new administrations as distributed computing, web of things and area-based administrations, the time of enormous information has arrived. As information, has been principal asset, how to oversee and use enormous information better has pulled in much consideration. Particularly, with the advancement of web of things, how to handling huge sum continuous information has turned into an extraordinary test in research and applications. As of late, distributed computing innovation has pulled in much consideration with elite, yet how to utilize distributed computing innovation for substantial scale ongoing information preparing has not been contemplated. This paper concentrated the difficulties of huge information firstly and finishes up every one of these difficulties into six issues. Keeping in mind the end goal to enhance the execution of constant handling of substantial information, this paper manufactures a sort of real-time big data processing (RTDP) design considering the distributed computing innovation and after that proposed the four layers of the engineering, and various leveled figuring model. This paper proposed a multi-level stockpiling model and the LMA-based application organization technique to meet the continuous and heterogeneity necessities of RTDP framework. We utilize DSMS, CEP, group-basedMap Reduce and other handling mode and FPGA, GPU, CPU, ASIC advancements contrastingly to preparing the information at the terminal of information gathering. We organized the information and afterward transfer to the cloud server and Map Reduce the information consolidated with the effective processing abilities cloud design. This paper brings up the general structure for future RTDP framework and computation techniques, is right now the general strategy RTDP framework outline
Instability of Stable Matching: A Dynamic Trust Approach
Get PDFMatching is of one of the essential problems in computer science and finding the stable matching is often difficult. For example, matching the medical students to hospitals where each student has its own preferences as well as each hospital has its own category in order to select the interns it can be difficult. Therefore there are many constraints that one needs to look at before solving matching problems. There are some algorithms which ensure that is possible to find a stable matching solution of this type of problems if any exists. In this paper, the instability of stable matching algorithm in dynamic environment has been demonstrated. The approach consists in mapping a specific stable matching problem (stable marriage problem) which has a stable solution into a dynamic environment where the instability is shown by using dynamic trust model