Refine your search
Collections
Co-Authors
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Aggarwal, Himanshu
- EHR Adoption in India: Potential and the Challenges
Abstract Views :292 |
PDF Views:0
Authors
Affiliations
1 Computer Science and Engineering Department, S.S.C.E.T, Badhani - 145001, Punjab, IN
2 Computer Engineering Department, Punjabi University, Patiala - 147002, Punjab, IN
1 Computer Science and Engineering Department, S.S.C.E.T, Badhani - 145001, Punjab, IN
2 Computer Engineering Department, Punjabi University, Patiala - 147002, Punjab, IN
Source
Indian Journal of Science and Technology, Vol 9, No 34 (2016), Pagination:Abstract
Background/Objectives: Electronic Health Record are unique electronic documents composed of information like patient history records, demographics, prescribed medications, laboratory reports and computerized tomography etc. to pertaining the patient health care. The main objective of the paper is to review the present adoption rate of EHR in India with respect to global market. Methods/Statistical Analysis: EHR is the key component for the clinical decision support system .To review the current scenario of adaption rate of EHR, bibliographic learning was obtained from many hospital sources. In addition, contact was made with EHR vendors. Findings: During the pilot study of about seven month, around twenty major hospitals encounters in which successfully the EHR system has been implemented. Globally the adoption rate of EHR in major countries are China (96%), Brazil (92%), France (85%), and Russia (93%) in this respect. In year of 2020, globally Market of electronic health records will place at US$25.98 billion as per the reporting of CAGR. Interoperability standards issues; lack of funds; shortage of suitable governance health policies are the major barriers in adoption of EHR in India. Application/Improvements: Adoption and implementation of EHR should be made mandatory in large sized and medium sized hospitals. In upcoming years EHR system require to incorporated a framework of standards, latest tools and consolidation of system providers.Keywords
Electronic Health Record, FHIR, HL7, Public Health, Security.Full Text
- Evaluating the Internal Quality Aspects of Universities’ Websites in Punjab
Abstract Views :202 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science and Engineering, College of Engineering and Management, Punjabi University Neighbourhood Campus, Rampura Phul - 151103, Punjab, IN
2 Department of Computer Science and Engineering, Punjabi University, Patiala - 147002, Punjab, IN
1 Department of Computer Science and Engineering, College of Engineering and Management, Punjabi University Neighbourhood Campus, Rampura Phul - 151103, Punjab, IN
2 Department of Computer Science and Engineering, Punjabi University, Patiala - 147002, Punjab, IN
Source
Indian Journal of Science and Technology, Vol 9, No 32 (2016), Pagination:Abstract
Objectives: In this globalized competitive world, websites have become so important that an academic institution cannot think of surviving for a long time without an appropriately designed and engineered website. Therefore, the key objective of this study was to evaluate the internal quality aspects of some selected universities’ websites of Punjab, northern state of India. Methods/Statistical Analysis: For the sample selection of universities, stratified random sampling was used by categorizing all the universities’ websites of Punjab into four groups such as State, Private, Deemed, or Central universities on the basis of their status. For the measurement of website’s internal quality attributes such as load time, total size of web page, requests per content type during loading, HTML check errors and broken links which cannot be perceived by users otherwise, three web testing tools such as W3C validator, Web Page Test and Selenium were used in this study. Findings: The results obtained in this study shows that the efficiency/performance of Lovely University’ website is the best among the websites of other universities considered in this study. This particular website which represents a private university takes the least download time. Minimum number of HTML errors and broken links were found on this website as compared to other websites. It shows that web designers and administration of private universities are utmost concerned regarding their website quality. Application/Improvements: By improving the internal quality parameters of websites considered in this study, website’s visibility in search engines can be improved which is an imperative aspect for high traffic rank.Keywords
Automation Testing, Internal Quality Factors, Universities’ Websites, Website Evaluation, Web Testing Tools.Full Text
- Big Data Analytics Recommendation Solutions for Crop Disease using Hive and Hadoop Platform
Abstract Views :186 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Engineering, Punjabi University, Patiala - 147002, Punjab, IN
1 Department of Computer Engineering, Punjabi University, Patiala - 147002, Punjab, IN
Source
Indian Journal of Science and Technology, Vol 9, No 32 (2016), Pagination:Abstract
Objective: With the digital advancements in the field of agriculture, a large amount of data is being produced constantly as a result agriculture data has entered the world of big data. Statistical Analysis: As the development processes, the requirement of the parallel computing, compatible data management infrastructure and novel analytics paradigm to extract information from huge amounts are also increases. A single machine cannot store and analyze this large amount of data. The polynomial time required to access this kind of large data. Findings: The solution to store and analyze such massive amounts of data is big data analytics. In this paper a big data analytics recommendation framework is developed for providing solutions of crop disease based on historical data using Hive and Hadoop. The data is collected from various sources like laboratory reports, agriculture information web pages, and expert recommendation for the developed framework. After the collection of raw data, the irrelevant or the redundant data that is also known as the noise, should be removed. The next step is to extract the features from cleaned data, normalization of data is done in order to remove the technical variations. Once normalization is complete the data is uploaded on HDFS and save in a file that is supported by Hive. Thus classified data is finally located on the specific place. In the next step HiveQL is used to analyze agriculture data based on features and then prioritize the outcome based on crop disease symptoms and in the last a high priority solution is recommended. Application/Improvements: In the paper prioritize outcomes are useful for agriculture officers, researchers to easily understand, and helpful for recommending a solution based on evidence from historical data.Keywords
Agriculture, Big Data, Expert Recommendation, Hadoop, HiveFull Text
- “Survey of Various Techniques for WebUsage Minning”
Abstract Views :117 |
PDF Views:3
Authors
Affiliations
1 Department of Computer Engineering, University College of Engineering, Punjabi University, Patiala, IN
1 Department of Computer Engineering, University College of Engineering, Punjabi University, Patiala, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 5 (2011), Pagination: 246-269Abstract
Web usage mining is the area of data mining which deals with the discovery and analysis of usage patterns from Web data, specifically web logs, in order to improve web based applications. Web usage mining consists of three phases, pre-processing, pattern discovery, and pattern analysis. After the completion of these three phases the user can find the required usage patterns and use these information for the specific needs. This paper presents several data preparation techniques in order to identify unique users and user sessions. It also provides a detailed information of various Web usage mining areas to work in. The survey of the existing work is also provided. Finally, a brief overview of the applications of Webusage mining (Letizia, WebSIFT, Adaptive Websites).Keywords
World Wide Web, Data Mining, Web Usage Mining, Information Retrieval, Information Extraction.Full Text
- Information Systems in Engineering Colleges of Punjab-Design, Implementation and Challenges
Abstract Views :151 |
PDF Views:1
Authors
Affiliations
1 Department of Computer Engineering, Punjabi University, Patiala, IN
2 Department of Computer Science, Chandigarh Engineering College, Landran(Mohali), IN
1 Department of Computer Engineering, Punjabi University, Patiala, IN
2 Department of Computer Science, Chandigarh Engineering College, Landran(Mohali), IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 1 (2011), Pagination: 28-39Abstract
A large number of engineering colleges in Punjab have started to solve problems of strategic planning and control systems improvement by means of modern information communication technologies only few years ago. Despite of use of computers and local area networks, there are a large amount of troubles and barriers basically of organizational and methodical character which are necessary to solve for successful MIS introduction. The purpose of the paper is to purpose a design of MIS for colleges, examine the implementation level of management information systems in various colleges of Punjab and scrutinize various challenges to it. The study used the qualitative survey methodology. Data were collected from a sample of 50 subjects from various colleges in Punjab. Data collected were analyzed, graphs were formulated and challenges were scanned.
Keywords
Management Information System (MIS), Colleges, Decision Making, Challenges, Implementation.Full Text
- BMP to JPEG-The Conversion Process
Abstract Views :136 |
PDF Views:1
Authors
Affiliations
1 Department of Computer Engineering, Punjabi University, Patiala, IN
1 Department of Computer Engineering, Punjabi University, Patiala, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 1 (2011), Pagination: 186-198Abstract
Images of different formats are generated, edited and transmitted on a very regular basis in a vast number of systems today. The BMP format is the native format for the Windows World and vast majority of windows-based applications supports this format. But a BMP image is quite large and voluminous. It becomes cumbersome to move it around in bandwidth constrained systems or where bandwidth is to be conserved for cost purposes such as the World Wide Web. Such scenarios demand use of a conversion technique to a format which is compact, such as JPEG, which compresses the image to a high degree with little loss in perceived quality of the image. This report deals with the steps used for converting an image stored in BMP format to JPEG format.Full Text
- Review on Machine Learning
Abstract Views :100 |
PDF Views:2
Authors
Affiliations
1 Department of Computer Engineering, Punjabi University, Patiala, Punjab, IN
1 Department of Computer Engineering, Punjabi University, Patiala, Punjab, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 22 (2016), Pagination: 414-418Abstract
In this paper an prevalent review of the study of machine learning, its types and techniques are provided. Machine Learning is the computational methods which are studied for improving performance by mechanizing, and the acquisition of knowledge from experience and convert it into expertise. In the field of Machine Learning one considers the important question that how we can make machines able to "learn". The paper is describing the classification, regression and their techniques of supervised learning and overview on unsupervised learning. In this paper we will review some techniques of supervised learning like k-nearest neighbor classification, decision trees, Neural networks.Keywords
Machine Learning, Regression, Supervised Learning, Unsupervised Learning.Full Text
- Blockchain Technology : A Survey on Applications beyond Cryptocurrency
Abstract Views :150 |
PDF Views:0
Authors
Affiliations
1 Student (MCA), IN
2 Student (MCA), Department of Computer Science & Application, DAV University, Jalandhar, IN
3 Associate Professor, Department of Computer Science & Application, DAV University, Jalandhar, IN
1 Student (MCA), IN
2 Student (MCA), Department of Computer Science & Application, DAV University, Jalandhar, IN
3 Associate Professor, Department of Computer Science & Application, DAV University, Jalandhar, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 35, No SP (2023), Pagination: 55-61Abstract
In the hyper-connected world, data has been playing a significant role in earthing the system of every domain that one can think of. But, it is undeniable fact that today data has prone to serious threats as it was never before, which has questioned the reliability, integrity as well as security of data. So, the technology has emerged that can mitigate all these issues, and that technology is none other than the technology residing at the heart of Bitcoin, The Blockchain.
Blockchain is one of the powerful technologies that has brought a revolution in conventional trading techniques. Conceptually, it is an open and distributed ledger that maintains an irrefutable database of records of all transactions or values that have been executed and shared peer-to-peer directly obsoleting the need for trust-worthy intermediatory in a secure, verifiable, moreover, in a permanent way alleviating the risk of fraud.
The main objective of this paper is not only to make blockchain a common business trading language but also to present its compelling applications in contrasting domains that are beyond currency rides, specifically in healthcare, politics, and its strategic implications in bridging strong economy using smart contracts that can revolutionize our digital global village.
Keywords
Bitcoin, Blockchain, Open-Ledger, Miners, Healthcare, Supply Chain, Smart Contracts.Full Text
References
- S. Khezr, MD Moniruzzaman, A Yassine, R Benlamri; Blockchain technology in healthcare: A Comprehensive Review and Directions For Future Research – April-2019.
- Sarah Underwood, "Blockchain Beyond Bitcoin," Communications of the ACM, vol. 59, no. 11, pp. 15-17, November 2016.
- Sam Daley; Blockchain voting: the future of elections, Last updated September-2022.
- Ye Guo and Chen Liang. Blockchain application and outlook in the banking industry. Financial Innovation, 2(1):24, 2016.
- Ning Shi; A new proof-of-work mechanism for Bitcoin. Financial Innovation, 2(1):31, 2016.
- Dmitry Effanov, Pavel Roschin; The All-Pervasiveness of the Blockchain Technology, Published by Elsevier Ltd, 2018.
- Mahdi H. Miraz, Maaruf Ali; Applications of Blockchain technology beyond Cryptocurrency, December 2017.
- Uzma Jafar, Mohd. Juzaiddin Ab Aziz, Zarina Shukur; Blockchain for electronic voting system – review and open research challenges, published by MDPI.
- Syadav Tasmia Alvi, Mohammed Nasir Uddin, Linta Islam, Sajid Ahamed; DVTchain : A blockchain-based decentralized mechanism to ensure the security of digital voting system, October 2022.
- A. Azaria, A. Ekblaw, T. Vieira, and A. Lippman. MedRec: Using Blockchain for Medical Data Access and Permission Management. In 2016, 2nd International Conference on Open and Big Data (OBD), pages 25–30, Aug 2016.
- Benefits of Blockchain – published by IBM. Available at https://www.ibm.com/in-en/topics/benefits-of-blockchain 12. Macro Lansiti, Karim R. Lakhani; Harward Business Review: the truth about Blockchain, February-2017.
- Michael Crosby, Nachiappan, Pradan Pattanayak, Sanjeev Verma, Vignesh Kalyanaraman; Applied Innovation Review; Blockchain Technology: beyond bitcoin, published by Berkeley, 2016.
- Abid Haleem, Mohd. Javaid, Ravi Pratap Singh, Rajiv Suman; Blockchain Technology applications in healthcare: An overview,2021.
- Ghassan Karame. On the security and scalability of bitcoin’s blockchain. In Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, CCS ’16, pages 1861–1862, New York, NY, USA, 2016. ACM.
- What is blockchain – published by money.com , Available at https://money.com/what-is-blockchain.