Understanding Institutional Repository in Higher Learning Institutions: A Systematic Literature Review and Directions for Future Research

Nazir

J Software Evolu Process

et al. 2021

Self Cite

Internet of Health Things (IoHT) is an extension of the Internet of Things (IoT), which plays an important role in the observation, consultation, monitoring, and treatment process of remote exchange data processes in healthcare. The integration, computation, and interoperability are facilitated through various sensors, controllers, and actuators. Security is considered as one of the important factors for the communication of these devices to smoothly run the activities of healthcare. The current literature associated to the security of IoHT cover diverse aspects, though there is dire need of the knowledge, which can thoroughly show the review of current state‐of‐the‐art work in a systematic way. To overcome this limitation, the planned study offerings a systematic literature review (SLR) for the IoHT security and provenance. This review will support researchers to take benefit from the present literature and devise novel solutions considering the current study as evidence in IoHT. This paper focused on the security analysis and provenance for the IoHT and answering the defined questions in the current study.

Section: Resultsmentioning

confidence: 99%

Security and provenance for Internet of Health Things: A systematic literature review

Nazir

J Software Evolu Process

et al. 2021

Self Cite

“…We used SLR as the methodology to study current research work regarding outlier detection. The 'systematic literature review provides a means for the evaluation and interpretation of the available research which is pertinent to a specific topic area, RQ, or a phenomenon of interest' [28][29][30]. This study employed the SLR guidelines and standards proposed by Kitchenham [31], which consist of a set of well-defined stages conducted in line with a predefined protocol.…”

Section: Review Methodsmentioning

confidence: 99%

A Systematic Literature Review on Outlier Detection in Wireless Sensor Networks

et al. 2020

Self Cite

A wireless sensor network (WSN) is defined as a set of spatially distributed and interconnected sensor nodes. WSNs allow one to monitor and recognize environmental phenomena such as soil moisture, air pollution, and health data. Because of the very limited resources available in sensors, the collected data from WSNs are often characterized as unreliable or uncertain. However, applications using WSNs demand precise readings, and uncertainty in data reading can cause serious damage (e.g., health monitoring data). Therefore, an efficient local/distributed data processing algorithm is needed to ensure: (1) the extraction of precise and reliable values from noisy readings; (2) the detection of anomalies from data reported by sensors; and (3) the identification of outlier sensors in a WSN. Several works have been conducted to achieve these objectives using several techniques such as machine learning algorithms, mathematical modeling, and clustering. The purpose of this paper is to conduct a systematic literature review to report the available works on outlier and anomaly detection in WSNs. The paper highlights works conducted from January 2004 to October 2018. A total of 3520 papers are reviewed in the initial search process. Later, these papers are filtered by title, abstract, and contents, and a total of 117 papers are selected. These papers are examined to answer the defined research questions. The current paper presents an improved taxonomy of outlier detection techniques. This will help researchers and practitioners to find the most relevant and recent studies related to outlier detection in WSNs. Finally, the paper identifies existing gaps that future studies can fill.

SA Journal of Information Management

“…Therefore, a mission of every IR is to preserve their materials for as long as they are needed. (Asadi et al 2018).…”

Section: Implementation Of Institutional Repositoriesmentioning

confidence: 99%

Digital preservation systems and technologies in South African academic libraries

Masenya

Ngulube

2021

This study adopted a quantitative research approach by using a survey research design. In South Africa, there are 27 academic institutions, and all these institutions constituted the target population and all were included in the sample of the study. An online questionnaire was used as the data collection instrument and it was emailed to all 27 academic institutions in South Africa. Results:The findings revealed that most academic libraries were adopting new technologies for preserving their digital resources. DSpace, E-print, ETD, digital commons, LOCKSS, DigiTool, Content dm and Archive-IT were noted as technologies that were commonly used by many academic institutions in preserving their digital resources. Conclusion:Although different technologies are being implemented to support digital preservation in academic libraries, these institutions should make sure these systems are compatible with archival standards and should also account for technological changes so that the entities may continue to be migrated to newer platforms as needed to avoid technological obsolescence.