Journal of Science & Technology (JST)
Not a member yet
967 research outputs found
Sort by
A Unified Approach to Cloud based Integrated Health Care Service Management System: Bhubaneswar Smart City as a Case study
Get PDFThe cost of health care has been steadily increasing. Evaluate an organization's success by ensuring the overall effectiveness of the sector. There has been a rapid change in patient treatment. IoT-enabled integrated management systems are used in smart city hospitals to manage patient data. Because of the geographic diversity, technical inconsistency, socio-economic adaptability, and cultural or climatic differences, it can be difficult to share patient data between hospitals for improved treatment, especially in smart cities like Bhubaneswar. We'd like to enhance the flow of data via the HMS. This is the result of centralized hospital management. For important patient transfers, this architecture enhances information flow. It allows patients to visit nearby hospital doctors if transportation is impractical or impossible. Aim of this work is to model a healthcare management system that is both efficient and secure. As faulty models can cause delays and increase costs. There is a chance of inefficiency. Since, UML ensures the correctness of all planning models; hence software and its functions are described using objectoriented modeling. It also demonstrates how the logical and physical components of a healthcare database management system may be described using a Unified Modeling Language to develop software with object-oriented features
A Review on some Medicinal plants
Get PDFMedicinal plants have been used from the Vedic era. For thousands of years, they have been used to treat and prevent many types of diseases along with epidemics. Plants play an important role in the development of new drugs. A large number of the plants are also reported to possess many other activities like anti-oxidant, antiinflammatory, anti-insecticidal, anti-parasitic, antibiotic, anti-hemolytic properties, etc. for thousands of years medicinal plants have been used to treat health disorders. In these reviews we gave general review of the medicinal plants
THE ANALYSIS OF HIGHER EDUCATION’S TEACHERS BASED ON FEEDBACK USING QUANTITATIVE AND QUALITATIVE APPROACH
Get PDFIn this paper, we analyze and investigate on quality concerns in higher education institutions (HEIs) as assessed and certified by National Assessment and Accreditation Council (NAAC), in addition to the approach and opinion of college and university teachers. We design a hybrid method and used to investigate various elements of quality indicators that are used to investigate the new criterion, if any, for estimation and acceptation. A hybrid method analysis design is a way for gathering, testing, and ‘blending' significant and subjective ways in one or more studies to better understand a research subject [1]. Our hybrid method design is that combining quantitative and qualitative methodologies yields a greater knowledge of the study problem and subject than either method alone. Because the programme evaluation frame of reference are used in the design and execution to assess quality assurance in higher education institutions. In order to facilitate the process of effective teaching and learning process quality management (TQM) tool for data analysis, HEI in terms of self evaluation and effective quality and evaluation of Faculty Effectiveness Index (FEI) based on valid feedback is also presented.  
Published papers, tacit competencies and corporate management of the public/privatecharacter of knowledge
Get PDFThis paper focuses on the movement of scientific and technological knowledge. It explores companies' reasons for publishing in the scientific and technical literature, reasons that turn on the need to link with other research organisations. The analysis begins by establishing that firms do indeed publish. Such publishing mediates links with other organisations, serving to signal the presence of tacit knowledge and to build the technical reputation necessary to engage in the barter- governed exchange of scientific and technical knowledge. Similar processes are seen in other areas of technical knowledge exchang
A review for mobile commerce research and applications
Get PDFIn this paper, a fractal patch antenna is designed, which uses a unique fractal geometry known as Mobile commerce research with Microstrip line (MSL) feeding. The antenna has been designed for frequency ranges starting from 1.12 GHz to 5.93 GHz which includes the applications in WLAN, Wi-Max & satellite mobile communication. The antenna was simulated using IE3D electromagnetic simulator. Here in this paper the improvement in multiband behaviour is investigated & discussed with VSWR<2
Software Engineering: A Roadmap
Get PDFSeveral hybrid regression models that predict hot stabilized vehicle fuel consumption and emission rates for light-duty vehicles and light-duty trucks are presented in this paper. Key input variables to these models are instantaneous vehicle speed and acceleration measurements. The energy and emission models described in this paper utilize data collected at the Oak Ridge National Laboratory that included fuel consumption and emission rate measurements (CO, HC, and NOx) for five light-duty vehicles and three light-duty trucks as a function of the vehicle‟s instantaneous speed and acceleration levels. The fuel consumption and emission models are found to be highly accurate compared to the ORNL data with coefficients of determination ranging from 0.92 to 0.99. Given that the models utilize the vehicle's instantaneous speed and acceleration levels as independent variables, these models are capable of evaluating the environmental impacts of operational-level projects including Intelligent Transportation Systems (ITS). The models developed in this study have been incorporated within the INTEGRATION microscopic traffic simulation model to further demonstrate their application and relevance to the transportation profession. Furthermore, these models have been utilized in conjunction with Global Positioning System (GPS) speed measurements to evaluate the energy and environmental impacts of operational-level projects in the field.
 
INNOVATIVE DIAGNOSIS VIA HYBRID LEARNING AND NEURAL FUZZY MODELS ON A CLOUD-BASED IOT PLATFORM
Get PDFBackground Information: Cloud computing, artificial intelligence, and the Internet of Things have changed healthcare by providing real-time monitoring and diagnosis. Hybrid learning models combined with neural fuzzy systems improve healthcare diagnoses, especially when it comes to handling uncertainty in massive amounts of medical data gathered from IoT devices. Methods: Fuzzy logic and neural networks were combined to create a hybrid neural fuzzy learning model. Using machine learning techniques, the system gathers real-time data from Internet of Things devices, interprets it through cloud-based platforms, and forecasts normal or abnormal health situations. Medical datasets were used for the model's training and validation. Objectives: In addition to assessing the scalability of real-time data processing and the efficacy of hybrid learning models in enhancing diagnostic accuracy, the study intends to investigate the integration of IoT, cloud computing, and AI for healthcare diagnostics. Results: The hybrid model outperformed traditional AI-based diagnostic techniques, achieving 96.40% precision, 98.25% recall, and 97.89% diagnostic accuracy. Conclusion: The accuracy and efficiency of the proposed method's processing increases real- time healthcare diagnostics. Enabling dependable patient monitoring and prompt decision- making, its versatility and scalability make it appropriate for wider healthcare applications
Designing Efficient HVAC Systems Best Practices for Optimization
Get PDFWhen it comes to developing technical solutions for different types of buildings that are energy efficient, this publication is seen as themost viable avenue. Starting with the first design calculations, this journey is initiated. As a building's components, the heat and massbalances provide the groundwork for making HVAC systems that are both efficient and affordable. In addition to calculating mass andheat, a thorough investigation of the building's geometric dimensions and thermal performance envelope is required. This research takesa look at a unique approach to calculating the heat load of HVAC systems. Improvements in the estimation of building heat losses areshown by the approach under consideration. The suggested technique is used to calculate transmission heat losses using the elementalapproach. Various methods of accounting for the infiltration component are shown in the technique for determining ventilation heatlosses. A method for integrating the many components of thermal energy use into a unified mathematical framework is laid forth. Ananalysis of the approach of optimising heat loads under harsh operating circumstances is presented. The study presents the results ofcalculations and additional methods for using correct methods in building design. As a conclusion, this article suggests a few things
Towards Sustainable Design for Manufacturing and Assembly: An Integrated Approach
Get PDFn foundries and construction sites, for example, angle grinders are used for deburring and other high-performance grinding applications.So, this research looks at the angle grinder's sustainable design using DFMA (Design for Manufacturing and Assembly) analysis. Aexcellent product with a low number of parts and minimal complexity is the result of using the Design for Manufacturing and Assembly(DFMA) approach, which reduces development time and costs. By "sustainability design," we mean a method of creating things that isgood for the environment and people equally. This study's sustainability design incorporates DFMA analysis of the manufacturing andassembly phases. Design solutions involve reducing the number of parts and the amount of time it takes to assemble them, independent ofmanufacturing method choice, materials cost, or other factors. Analyses on angle grinders are carried out using the 3D scanning techniquein Catia software for the purpose of designing certain parts, and sustainability analyses are carried out using Solidworks software. Thesemethods are integrated with the Boothroyd and Geoffrey DFMA approach. With 15.34 KgCO2, 2.10×10-2 KgPO4, 15.5 KgSO2, and1.95 MJ produced in the production of one angle grinder, the present product efficiency is at 21.3%. It is anticipated that all researchcriteria will be reduced by 25% via this investigation
Harnessing Generative Adversarial Networks and AI-Oriented Anomaly Detection Mechanisms for Resilient Fraud and Crisis Mitigation Amidst Pandemic Challenges
Get PDFBackground Information: Resilient solutions are required because the COVID-19 pandemichas escalated fraud and system vulnerabilities across industries. In order to reduce fraud andsuccessfully handle crises, this study combines Generative Adversarial Networks (GANs) withAI-driven anomaly detection techniques. We tackle the problems of changing threats,unbalanced data, and instantaneous adaptation in a changing environment.Objectives: In order to improve system resilience against fraud and crises, this project intendsto use GANs to generate fraud scenarios, integrate AI for real-time anomaly detection, andcreate a hybrid framework. Achieving scalability, accuracy, and adaptability for a variety ofapplications amid pandemic-related challenges is its main goal