A parallel patient treatment algorithm and it’s application in hospital queuing recommendation
A patient queue management system to minimize patient wait time, delays and patient overcrowding is one of the major challenges faced by hospitals. Redundant and bothersome waits for long periods result in substantial human resource and time wastage and increase the frustration endured by patients. Therefore, we recommend a Patient Treatment Time Prediction (PTTP) algorithm to predict the waiting time for each treatment task for a patient. Based on the predicted waiting time, a Hospital Queuing-Recommendation (HQR) system is developed. HQR calculates and predicts an efficient and suitable treatment plan recommended for the patient.
Published by: Milan Bekal, Abishek Manikandan, Ayushman Tewari, Pallavi G. B.
Author: Milan Bekal
Paper ID: V5I3-1415
Paper Status: published
Published: May 17, 2019
Digitizing employee engagement
Employee engagement is normally the degree of dedication and attachment a working person has towards his or her company and its nuclear values and viewpoints. An engaged employee is supposed to be conscious of the business situation, and work dynamics with contemporaries and peer groups to improve accomplishment within the job for the advantage and excellence of the company. It is a positive approach held by the employees towards the company and its values. Therefore there is a huge necessity for HR professionals to emphasize more attention not only on holding on to the existing workforce but also on having them actively occupied. The Employee Engagement Index is an online examination in which employees evaluate their own commitment at work. Most of the Agencies which provide Employment believe employee engagement to be one of the lead requisites to enhancing PES (Performance Evaluation System) performance. This presentation is an attempt to the acquaintance with the digitization of employee engagement by what is known as the Employee Engagement Index.
Published by: Gagandeep Singh, Kewal Singh Panesar
Author: Gagandeep Singh
Paper ID: V5I3-1414
Paper Status: published
Published: May 17, 2019
A review on adoption of change management in Indian banking sector
Change is a strong driving force for any organizational development. A better organization can make a better tomorrow. The purpose of this research is to study the level of implementation and adoption of the change in the banks and the extent to which banking institutions practice the same in India for making a better development. The paper focuses on, how far the employees are involved with operational alerts, so that they may remain dominant in a rapidly growing environment. The analysis was done on bank employees, the paper discusses the finding as per the investigation conducted and provides recommendations which include: Highlighting the significance of the change, clearly expressing on a vision for the change, Leaders applying transformational leadership principles
Published by: Ranjitha. Meesala
Author: Ranjitha. Meesala
Paper ID: V5I3-1445
Paper Status: published
Published: May 17, 2019
Comprehensive Training and Placement department
Android-based training and placement automation for campus drive is a System, which automates training and placement activities and provides opportunities to the students, who are eligible according to the company criteria and makes easy the process of managing information regarding students and companies automatically. This system focuses on the automation of the training and placement cell and profile matching. Collecting the resumes, providing notifications about various job openings to the students according to the eligibility and company criteria, managing and inviting the companies for the campus recruitment, classifying the data from the resume submitted by students and creating the recruitment metrics, Observing and controlling the progress of the selection process and communicating with different eligible candidates. This system provides modules like user interface for student and user interface for an administrator. Provides various functionalities like managing student resume, Company Profiles, Job Postings, Authentication, and activation of student profiles, listing out the students as per company’s criteria, provides the list of a shortlisted student with resume to the company .This system reduces the human efforts and maintaining large amount of data efficiently.
Published by: Rishika Sinha, Ranjana C. A., Swathi V., Kumar J., Vijaylaxmi Mekali
Author: Rishika Sinha
Paper ID: V5I3-1429
Paper Status: published
Published: May 17, 2019
Comparison research on FIR filter with RRC filter using a reconfigurable constant multiplier
This paper proposes a capable constant multiplier architecture with the help of an architecture called Binary Common Sub-Expression (BCSE)algorithm. As multiplication using coefficients or constants plays a necessary role in digital signal processing(DSP). Firstly, a single constant multiplier switching between some constants are converted to an n-bit constant multiplier in which any of the bit can be generated at the output according to the input bit x using the BCSE algorithm. Then an RRC filter is designed using the n-bit multiplier and finally, the performance of the RRC filter is compared with that of FIR filter.
Published by: Arya P. Kumar, Mercy Mathew
Author: Arya P. Kumar
Paper ID: V5I3-1423
Paper Status: published
Published: May 17, 2019
uDCLUST: A novel algorithm for clustering unstructured data
Data that has been arranged and systematized into an organized and formatted repository, usually a database, so that its elements and essential features and can be made directly accessible for more powerful and adequate processing and analysis is known as Structured Data. Un-structured data is data that doesn’t fit accurately in a traditional database and has no identifiable internal structure and a predefined data model. We cannot perform different operations like update, insert and delete on un-structured data. Clustering is a process of unsupervised learning and is the most common method for mathematical and demographic data analysis. It is the main task of preliminary data mining, and an ordinary technique for statistical data analysis, mathematical data analysis, demographic data analysis, used in many fields, including ML (Machine Learning), recognition of patterns, analysis of images, retrieval of information, bioinformatics, compression of data and computer graphics. Available clustering algorithms have the difficulty to determine the number of clusters in a dataset and also are difficult to cluster outliers even that have common groups. A final related drawback arises from the shape of the data cluster where it is difficult and complex to cluster non-spherical and overlapping datasets. In this framework, we intended and designed an algorithm called uDCLUST (Un-structured Data Clustering), which identifies an appropriate number of clusters in unstructured data as well as cluster outliers easily with non-spherical and overlapping datasets.
Published by: Aamir Ahmad Khandy, Dr. Rohit Miri
Author: Aamir Ahmad Khandy
Paper ID: V5I3-1378
Paper Status: rejected
Submitted: May 17, 2019
