1,721,712 research outputs found
Uday Kumar Manchikatla's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Uday Kumar Manchikatla's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Uday Kumar Manchikatla's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Kamishetty Uday Kumar
Full text linkIndia is the pioneer country for the commercial cultivation of cotton. Cotton is one of the principal commercial crops and has been one of the main sources of India's economic growth and foreign exchange earner. It is popularly known as ‘White Gold’. In india it is important cash and commercial crop valued for its fiber and vegetable oil. The study was conducted in Ramannapet block of Yadadri Bhuvanagiri District was selected purposively based on the maximum cotton grower and 120 respondents were selected randomly from six villages of the ramannapet block. The data was collected with the help of structured schedule analyzed statistically. The study revealed that majority of respondents had medium level of socioeconomic status and knowledge on recommended improved production practices of cotton. To access the knowledge of the respondents about improved cotton production practices. 
sj-docx-1-pie-10.1177_09544089231151541 - Supplemental material for Prediction of stability parameters of ferric oxide nanofluids using response surface methodology based on desirability approach
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089231151541 for Prediction of stability parameters of ferric oxide nanofluids using response surface methodology based on desirability approach by KPV Krishna Varma, Kavati Venkateswarlu, PV Durga Prasad and Uday Kumar Nutakki in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
sj-docx-2-pie-10.1177_09544089231151541 - Supplemental material for Prediction of stability parameters of ferric oxide nanofluids using response surface methodology based on desirability approach
No full textSupplemental material, sj-docx-2-pie-10.1177_09544089231151541 for Prediction of stability parameters of ferric oxide nanofluids using response surface methodology based on desirability approach by KPV Krishna Varma, Kavati Venkateswarlu, PV Durga Prasad and Uday Kumar Nutakki in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
Maintenance Knowledge Management with Fusion of CMMS and CM
No full textAbstract- Maintenance can be considered as an information, knowledge processing and management system. The management of knowledge resources in maintenance is a relatively new issue compared to Computerized Maintenance Management Systems (CMMS) and Condition Monitoring (CM) approaches and systems. Information Communication technologies (ICT) systems including CMMS, CM and enterprise administrative systems amongst others are effective in supplying data and in some cases information. In order to be effective the availability of high-quality knowledge, skills and expertise are needed for effective analysis and decision-making based on the supplied information and data. Information and data are not by themselves enough, knowledge, experience and skills are the key factors when maximizing the usability of the collected data and information. Thus, effective knowledge management (KM) is growing in importance, especially in advanced processes and management of advanced and expensive assets. Therefore efforts to successfully integrate maintenance knowledge management processes with accurate information from CMMSs and CM systems will be vital due to the increasing complexities of the overall systems.
Low maintenance effectiveness costs money and resources since normal and stable production cannot be upheld and maintained over time, lowered maintenance effectiveness can have a substantial impact on the organizations ability to obtain stable flows of income and control costs in the overall process. Ineffective maintenance is often dependent on faulty decisions, mistakes due to lack of experience and lack of functional systems for effective information exchange [10]. Thus, access to knowledge, experience and skills resources in combination with functional collaboration structures can be regarded as vital components for a high maintenance effectiveness solution.
Maintenance effectiveness depends in part on the quality, timeliness, accuracy and completeness of information related to machine degradation state, based on which decisions are made. Maintenance effectiveness, to a large extent, also depends on the quality of the knowledge of the managers and maintenance operators and the effectiveness of the internal & external collaborative environments. With emergence of intelligent sensors to measure and monitor the health state of the component and gradual implementation of ICT) in organizations, the conceptualization and implementation of E-Maintenance is turning into a reality. Unfortunately, even though knowledge management aspects are important in maintenance, the integration of KM aspects has still to find its place in E-Maintenance and in the overall information flows of larger-scale maintenance solutions. Nowadays, two main systems are implemented in most maintenance departments: Firstly, Computer Maintenance Management Systems (CMMS), the core of traditional maintenance record-keeping practices that often facilitate the usage of textual descriptions of faults and actions performed on an asset. Secondly, condition monitoring systems (CMS). Recently developed (CMS) are capable of directly monitoring asset components parameters; however, attempts to link observed CMMS events to CM sensor measurements have been limited in their approach and scalability. In this article we present one approach for addressing this challenge. We argue that understanding the requirements and constraints in conjunction - from maintenance, knowledge management and ICT perspectives - is necessary. We identify the issues that need be addressed for achieving successful integration of such disparate data types and processes (also integrating knowledge management into the “data types” and processes)
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
sj-pdf-1-ajs-10.1177_03635465231180323 – Supplemental material for Efficacy and Safety of Stempeucel in Osteoarthritis of the Knee
No full textSupplemental material, sj-pdf-1-ajs-10.1177_03635465231180323 for Efficacy and Safety of Stempeucel in Osteoarthritis of the Knee by Pawan Kumar Gupta, Sunil Maheshwari, Joe Joseph Cherian, Vijay Goni, Arun Kumar Sharma, Sujith Kumar Tripathy, Keerthi Talari, Vivek Pandey, Parag Kantilal Sancheti, Saurabh Singh, Syamasis Bandyopadhyay, Naresh Shetty, Surendra Umesh Kamath, Purohit Sharad Prahaldbhai, Jijy Abraham, Suresh Kannan, Samatha Bhat, Shivashankar Parshuram, Vinayaka Shahavi, Akhilesh Sharma, Nikhil N. Verma and Uday Kumar in The American Journal of Sports Medicine</p
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