1,637 research outputs found
Human Values and Itas Relevance in Technical Education
In the course of their work life engineers and technologists are involved in various development activities to serve the society With the galloping rise in population the world over the service of technocrats to the human race is becoming more and more important It is desirable that engineers develop a good and practical sense of human values so that they can fruitfully contribute to the societal development The paper gives an overview of human values in the Indian society and highlights the need to incorporate these aspects in the curriculum of our technical educatio
The Role of Multinational Corporation in Enhancing Skill Development and Promoting Innovations in India: A Critical Analysis
With the onset of globalization, MNCs have emerged as significant drivers of economic growth and industrial development in India, bringing innovative technology, managerial knowledge, and best practices from all over the world. This research looks at how multinational corporations help employees improve their abilities through various initiatives and programs. These programs cover a wide range of topics, including technology adoption, quality management, and cross-cultural competency, providing employees with the tools they need to succeed in a globalized work environment. MNCs give employees access to global best practices and help them in their future. Employees benefit from cross-functional teamwork and knowledge exchange, which provide useful insights and experiences that contribute to their professional development. MNCs provide possibilities for professional advancement and continual learning, encouraging employees to pursue higher education, certifications, and specialised training courses that are relevant to their roles. MNCs enable staff to stay up to date on technical breakthroughs and contribute successfully to the organization's success by cultivating a learning and innovation culture. It plays a crucial role in technology transfer and research collaboration, establishing R&D centers and partnering and combination with local industries
Publishing E-resources of Digital Institutional Repository as Linked Open Data: an experimental study
Linked open data (LOD) is an essential component in semantic web architecture and is becoming increasingly important over time due to its ability to share and re-use structured data which is both human and computer readable over the web. Currently, many libraries, archives, museums etc. are using open source digital library software to manage and preserve their digital collections. They may also intend to publish their e-resources as âLinked Open Datasetsâ for further usage. LOD enables the libraries or information centers to publish and share the structured metadata that is generated and maintained with their own bibliographic and authority data in such a way that the other libraries and general community across the world can consume, interact, enrich and share. In this context, the key issue is to convert the library bibliographic data which is commonly known as metadata into LOD dataset. The purpose of this paper is to provide a methodology and technical aspects to design and publish a structured LOD dataset of bibliographic information from a digital repository developed with DSpace digital library software so that other libraries can link their repositories with these LOD for providing additional relevant resources to their end-users. The paper shows the process of integration and configuration of Apache Jena Fuseki (a tool for SPARQL Endpoint interface) with DSpace for converting metadata into Resource Description Framework (RDF) triple model and make them available in various RDF formats. It also discusses a model for building a LOD framework to convert and store RDF graph and RDF triple. Finally, it tests the accessibility of the inked open dataset by querying RDF data through a SPARQL endpoint interface
An Introduction to the Importance and Implementations of Liquid Cooling in Electric Motors
Electric Vehicles (EVs) are currently growing as the leading viable, efficient and consumer focused vehicle. Although with electric vehicles, the fear of range coverage on a single charge, longer charging times and lack of easy availability of charging stations looming over potential customers can slow and even halt wide spread adoption of EVs in the global market. In order to meet this demand, a higher efficient powertrain is required accompanied by an increase in operational time. However, the extended use of a motor will cause a larger generation of heat inside the motor, which requires detailed thermal management. In order to efficiently extend the EV range, better cooling techniques for traction motors are mandatory. From literature review, air cooling was found inefficient and ineffective, while liquid cooling is the primary cooling method for traction motors as it provides proper thermal management [1-3]. Therefore, this research will be based on a 2-step methodology. Firstly, Finite Element Analysis (FEA) is used to determine the highest concentration of heat for a prototyped induction motor traction motor. Secondly, Computational Fluid Analysis (CFD) will be implemented to determine the cooling results of a variation of liquid cooling options to identify and determine the most efficient cooling method for the prototype traction motor. The preliminary results have indicated the inflexion of heat in specific areas of the motorâs rotor and stator. Using CFD analysis while changing the coolants properties, fluid path and flow speed, expected efficiency improvements can be estimated at 6.9% in some cases [4]. Through this investigation, an efficient cooling system for the prototype motor can be implemented, and should advance all motors of an identical drive system, thereby improving the EV motorâs efficiency
Ayurvedic Preventive and Curative Protocol for COVID 19 - A Proposal
COVID-19 is an illness caused due to Novel Corona Virus 2, now called as Severe Acute Respiratory Syndrome Corona Virus -2 (SARS COV 2).[1] Ayurveda considers it as a Janapadodhwamsa Vikara.[2] It can also be grouped under the class of Bhutabhishangaja Aagantuja Vikaara with special reference Aupasargika and Sankramika disease.[3] Furthermore, Bhuta in Ayurveda also has the meaning of Visha (poison) and virus meaning in latin is poison. Here, the origin of the virus was earlier considered from animals (Bats â primary hosts, Snake - intermediate host and further Pangolins). According to Acharya Sushruta, all share the similar Yoni.[4] Considering all factors associated with Covid-19, the illness can be considered as a Sannipata Jwara with predominance of Kapha and Pitta. Interestingly the signs and symptoms seen in this condition are quite similar to the Jangama Visha Lakshana of Kitavisha originating from Yoni of Jatuka (Bat), Sarpa (Snake), Shallaka (pangolin).[6] The choice of medicine (single and poly-herbo-mineral preparations) used should be Kapha Pittahara, Tridoshahara, Rakta Prasadaka / Shodhak, Agada (Vishahara), Jwarahara, Ashukaari, Bahukalpa Rasayana / Urjaskara (drugs having immune-boosting properties) and potent antimicrobial activities. Herbo-mineral agents possessing above activities which can be used as prophylactic as well as curative measure is been proposed in the study. Considering above concepts, a detailed review is done from Ayurvedic classics and a possible frame work is proposed in regard to Samprapti (pathogenesis), prophylactic and curative aspects of COVID-19 in the study
A Study on Privacy Preserving in Big Data Mining Using Fuzzy Logic Approach
Information security is the most acclaimed issue when distributing individualinformation. It guarantees individual information distributing without revealing touchyinformation. The much well known methodology is K-Anonymity, where information is changedto comparability classes, each class having a set of K-records that are undefined from oneanother. Yet, a few creators have called attention to various issues with K-obscurity and haveproposed procedures to counter them or stay away from them. l-variety and t-closeness are suchprocedures to give some examples. Our examination has shown that this load of proceduresincrement computational work to for all intents and purposes infeasible levels, however theyincrement security. A couple of procedures represent a lot of data misfortune, whileaccomplishing security. In this paper, we propose a novel, comprehensive methodology foraccomplishing most extreme protection with no data misfortune and least overheads (as it werethe important tuples are changed). We address the information security issue utilizing fluffy setmethodology, an aggregate outlook change and another viewpoint of taking a gander atprotection issue in information distributing. Our basically possible strategy furthermore, permitscustomized protection safeguarding, and is valuable for both mathematical and all out ascribes
Ayurveda Practitioners Consensus to Develop Strategies for Prevention and Treatment of Corona Virus Disease (COVID-19)
Background: The outbreak of Coronavirus disease (COVID-19) has been recently declared as Public Health Emergency of International Concern (PHEIC) by World Health Organization and the virus has now spread beyond the boundaries of countries and continents. At present, no specific antiviral treatment or vaccine is available or recommended to counter the COVID-19, and the potential therapy is still symptomatic. Objective: The primary aim of the study is to review ancient classical literatures and past human treatment protocols of Ayurveda for prevention and treatment of infectious diseases and flu like illnesses, so as to provide guidance for the prevention of COVID-19. Methods: Classical Ayurveda and recent modern literature with treatment protocols of Ayurveda for prevention and treatment of flu and infectious diseases were reviewed and COVID-19 has been categorized in four specific situations based on the severity of clinical condition. Total 110 Ayurveda practitioners of different parts of India were participated in the survey. These specific situations were conveyed and described to these participants and their opinions and options were collected through social media platform i.e. WhatsApp or SMS. Results: Recommendation and suggestions received from more than 50% participants were taken into accounts to draft the recommendation for probable preventive and therapeutic regimen for the disease. Conclusion: The results obtained in the study may provide a preventive strategy to the Ayurveda practitioners as well as common people across the globe by increasing the innate immunity of the body to combat COVID-19. However, till today, social distancing is considered as most effective way to stop the spread of COVID-19. Further, pilot study for different group is recommended
Pengaruh Pemberian Preemptive Deksametason 0.2Mg/Kgbb Terhadap Intensitas Nyeri Pasca Operasi Laparotomi Eksplorasi Dengan Anestesi Umum
Pengaruh Pemberian Preemptive Deksametason 0.2Mg/Kgbb
Terhadap Intensitas Nyeri Pasca Operasi
Laparotomi Eksplorasi Dengan Anestesi Umu
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