International Journal on Future Revolution in Computer Science & Communication Engineering
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Introduction, time and compositions of Acharya Ugraditya
Get PDFThe testimony existing in Mysore Archeological Report 1922 proves that, the disciple of Shri Nandi, who was a complete scholar of Ayurveda, Ugraditacharya is the author of most ancient, main and important Grinth of medical importance “The Kalyan Karaka Grinth”. Ugraditacharya was contemporary of the Rashtrakuta King “Amoghvasha I and Calukya King Kali Vishnuvardhana V. A resident of Telengana having abode at Ramgiri hills of district called Ramtirtha or Ramkod, where he composed “Kalyankaraka” while sitting in Jinalaya in late eighth century
Revolution in Healthcare Domain through Block Chain Technology
No full textBlock chain technology is one of the leading technologies in the present era and adaptable. As our lifestyles are changing constantly, the technology also needs to be changed. It is the technology which is behind bitcoin crypto currency system. It has also been used in many domains. Any technology which has been developed mainly puts the focus on financial industry service but this technology has also put its focus on several other areas like banking, healthcare and others. Generally a hospital or any healthcare organization requires complex handling of data and manual processes which are taken responsibility by the people who handle issues of trust. In this case this technology will be very useful to maximize the efficiency and minimize the costs. Many number of starting points for this technology in the healthcare industry are focus of this paper
Role of Mathematical Model of Human Resource Allocation in Organization
Get PDFProgramming is one of the main principles in management. Programming is the base of procedural and managerial principle that organizations combine and incorporate all their activities and efforts about desired purposes, the way to reach it and how going through the way and achievement to organizational results is its performance purpose. Therefore, management must have an appropriate programming for all it's under control resource. One of these resources taken into account strategic resource for organization is human resource that is important and associate to strategic issue component. Human resource programming is a part of overall organization programming and its purpose is recognition and supply of needed personnel regarding future changes. Human resource programming helps organization to estimate organizational and environmental changes relevance to its activities with minimum costs. Indeed, human resource programming considers human needs in two quantitative and qualitative respects that mean it answers two basic questions: how many persons? And what type of personnel? At the same time, human resource programming considers more extensive issue related to employment methods and personnel developments for enhancement of organization effectiveness and for this reason it plays an important role in human resource management. Our purpose in this research is a model presentation for human resource allocation in Finance and Economy Affairs Organization in Ardakan Township via linear programming using obtained information from mentioned organization including number of organizational units, persons classifying in different parts of organization, employee's mean received salary, ordinary employee's education cost and maximum allocation salary and employee's period budget. Operational research software (QM) has been used for model results achievement
An Analysis upon Organization of Some Nuclear Mappings and Quasi-Nuclear Mappings
Get PDFIn this paper we sum up the notable outcome which says that the arrangement of semi nuclear maps is nuclear. All the more accurately, we characterize what we call a 2-quasi?-nuclear guide between normed spaces and we say that the organization of a 2-semi ?-nuclear guide with a semi ?-nuclear guide is a pseudo-?-nuclear guide. Additionally, we say that a semi ?-nuclear guide is a 2-semi ?-nuclear guide. For a nuclear G?-space, we say that a straight guide T between normed spaces is 2-semi ?-nuclear if and only if it is semi ?-nuclear. We present new kind of maps between normed spaces to be specific, p-quasi?-nuclear guide. We say that the piece of a q-semi ?-nuclear guide (0 < q ? 1) with a p-semi ?-nuclear guide (0 < p ? 1) is a pseudo-?-nuclear guide. Additionally we say that for a nuclear G?-space a direct guide T between normed spaces isp-semi ?-nuclear iff it is q-semi ?-nuclear
Improving the Watermarking Technique to Generate Blind Watermark by Using PCA & GLCM Algorithm
Get PDFFor making sure that the multimedia information is not accessed or modified by unauthorized users, several digital techniques have been proposed as per the growth of internet applications. However, the most commonly used technique is the watermarking technique. The spatial domain method and frequency domain method are the two broader categorizations of several watermarking techniques proposed over the time. The lower order bits of cover image are improved for embedding a watermark through the spatial domain technique. Minimizing the complexity and including minimum computational values are the major benefits achieved through this technique. However, in the presence of particular security attacks, the robustness of this technique is very high. Further, the techniques that use some invertible transformations such as Discrete Cosine Transform (DCT) are known as the frequency domain transform techniques. The image is hosted by applying Discrete Fourier transforms (DFT) and Discrete Wavelet Transform (DWT) techniques. The coefficient value of these transforms is modified as per the watermark for embedding the watermark within the image easily. Further, on the original image, the inverse transform is applied. The complexity of these techniques is very high. Also, the computational power required here is high. The security attacks are provided with more reverts through these methods. GLCM (Gray Level Co Occurrence Matrix) technique is better approach compare with other approach. In this work, GLCM (Gray Level Co Occurrence Matrix) and PCA (Principal Component Analysis) algorithms are used to improve the work capability of the neural networks by using watermarking techniques. PCA selects the extracted images and GLCM is used to choose the features extracted from the original image. The output of the PCA algorithm is defined by using scaling factor which is further used in the implementation. In this work, the proposed algorithm performs well in terms of PSNR (Peak Signal to Noise Ratio), MSE (Mean Squared Error), and Correlation Coefficient values. The proposed methods values are better from the previous work
A Study on Quasi – Groups Satisfying Partial Associative Law with Unique Right Unit
Get PDFA Quasi- group is an algebraic structure resembling a group in the sense that division is possible. Quasi –groups differ from a group, that they are not necessarily be associative. In this paper we make a study of quasi- groups which satisfy Partial associative law and have a right unit. It is seen that these Quasi –groups have properties very similar to ordinary groups
An Automatic Approach for Fabric Fault Detection Using Image Processing
Get PDFA defect within the material hinders the standard of the material to a bigger extent. These defect within the cloth square measure planned to occur regardless of what kind of production ways square measure used. Majority of defect detection is dispensed by physical examination by labor, however these kind of examination fails to suits the detection of minute defects that square measure indistinguishable by somebody's eye. Exploitation trendy technology we are able to implement automation in detection these defects which can be otherwise unseen or not detected. The automation system can establish the defect supported the looks of the material and can optimally turn out the answer. This use of recent technique can enhance die standard of product and can meet the expectation of client demands and can scale back the price depreciation. The technology of image analysis was developed and used intensively in textile business as a result of it's helpful to examine the material and thread defects, There square measure 2 approaches completely different in detection and classification from the defects. Initial is predicated on statistics on the grey level, second is predicated on the morphological operations. The examination for the standard management is critical with the manufacture of textile. Typically the defects square measure detected by the soul. This sort of management is subjective, painful and needs terribly long procedures, Historically, the material examination is created by workmen; however it's thus subjective that truth could be a drawback as a result of the inspectors tire simply, to beat these disadvantages, a system of image process is utilized. Hie techniques concerned within die planned work are distinct moving ridge remodel, GLCM feature extraction and classification
Face Recognition Based on Intelligent System
Get PDFFace recognition is one of the most attractive and challenging topics in the fields of pattern recognition used in many biometric security applications. In this research, we use Two Dimensional Discrete Wavelet Transform (2D-DWT) to decompose face image for extracting features and Principle Component Analysis (PCA) for dimensional reduction of these features. For classification, we use ANFIS technique which is a combination between Fuzzy Inference System and Neural Network, Furthermore, we implemented Back Propagation Neural Network for the extracted features to compare its efficiency with ANFIS. Implementing proposed work get a best recognition rate and less computation where the recognition rate increases until it reaches maximum value (96%)
Improving Preparedness in Epidemic Healthcare using Data Science
Get PDFDengue fever or dengue is a virus spread through mosquito bites. This virus present itself in the form of fever, headaches, vomiting, nausea and in some cases it can lead to death. Since this illness is carried by mosquitoes. By forecasting the spread of this disease the health agencies can better organize their preventive measures such as vaccination and provide information to the public about this illness. Interactive information visualization and visual analytics methods will bring profound changes to personal health programs, clinical healthcare delivery, and public health policymaking. This paper offers several challenges for data visualization and analytics researchers. The problems and challenges are aligned a roadmap for Predictive, Preemptive, Personalized, and Participative Healthcare Systems to improve the preparedness in epidemic healthcare for future
Study of Network Traffic Analysis and Prediction
Get PDFNetwork traffic analysis is the way toward chronicle, evaluating and examining system traffic with the end goal of execution, security as well as general system tasks and the executives. Analysis and prediction of network traffic has applications in wide far reaching set of zones and has recently pulled in noteworthy number of studies. Various types of trials are directed and condensed to distinguish different issues in existing PC arrange applications. System traffic examination and forecast is a proactive way to deal with guarantee secure, dependable and subjective system correspondence. Different systems are proposed and tested for analyzing system traffic including neural network based strategies to data mining methods. So also, different Linear and non-linear models are proposed for system traffic prediction. A few intriguing mixes of system examination and forecast strategies are actualized to achieve proficient and compelling outcomes [3]