SCOPE OF INTERNET OF THINGS: A SURVEY

The advent of internet of things (IoT) has influenced and revolutionized the information systems and computing technologies. A computing conceptwhere physical objects used in daily life, will identify themselves by getting connected to the internet is called IoT. Physical objects embedded withelectronic, software, radio-frequency identification, sensors, actuators and smart objects converge with the internet to accumulate and share datain IoT. IoT is expected to bring in drastic changes and solutions to most of the daily problems in the real world. This paper explains in detail the keyconcepts of IoT, the applications of IoT, the challenges in establishing IoT. This work also explains in detail the future scope of IoT in different fields.Â

Technology-Enabled Medical IoT System for Drug Management

This study introduces an innovative framework for the storage and administration of pharmaceuticals, which effectively tackles the pressing requirements of maintaining optimal temperature and humidity conditions, monitoring medicine inventory, and processing real-time data in healthcare establishments. By utilizing a comprehensive network of Internet of Things (IoT) sensors strategically positioned within pharmaceutical storage facilities, our technology effectively guarantees the preservation and security of stored drugs. The study conducted in our research demonstrates that low temperature fluctuation effectively protects medicinal substances, hence reducing potential dangers to patients. The real-time inventory management system effectively optimizes medicine control by following expiry criteria and minimizing wasted spending. Furthermore, our study emphasizes the importance of cloud response latency, as the average data transfer time is a rapid 100 milliseconds. The expeditious integration of crucial data enables prompt notifications and alerts, hence augmenting the quality and safety of pharmaceutical products

AN AUTHENTICATED, SECURE VIRTUALIZATION MANAGEMENT SYSTEM IN CLOUD COMPUTING

Cloud computing is one of the trending technologies that provide boundless virtualized resources to the internet users as an important services through the internet while providing the privacy and security. Using these cloud services, internet users get many parallel computing resources at low cost. It predicted that till 2016, revenues from the online business management spent $4 billion for data storage. Cloud is an open-source platform structure, so it is having more chances to malicious attacks. Privacy, confidentiality, and security of stored data are primary security challenges in cloud computing. In cloud computing, virtualization†is one of the techniques dividing memory into different blocks. In most of the existing systems, there is only single authority in the system to provide the encrypted keys. To fill the few security issues, this paper proposed a novel authenticated trust security model for secure virtualization system to encrypt the files. The proposed security model achieves the following functions: (1) allotting the VM security monitor model for each virtual machine and (2) providing secret keys to encrypt and decrypt information by symmetric encryption.The contribution is a proposed architecture that provides a workable security that a cloud service provider can offer to its consumers. Detailed analysis and architecture design presented to elaborate security model.Â

Zinc intake, status and indices of cognitive function in adults and children: a systematic review and meta-analysis

In developing countries, deficiencies of micronutrients are thought to have a major impact on child development; however, a consensus on the specific relationship between dietary zinc intake and cognitive function remains elusive. The aim of this systematic review was to examine the relationship between zinc intake, status and indices of cognitive function in children and adults. A systematic literature search was conducted using EMBASE, MEDLINE and Cochrane Library databases from inception to March 2014. Included studies were those that supplied zinc as supplements or measured dietary zinc intake. A meta-analysis of the extracted data was performed where sufficient data were available. Of all of the potentially relevant papers, 18 studies met the inclusion criteria, 12 of which were randomised controlled trials (RCTs; 11 in children and 1 in adults) and 6 were observational studies (2 in children and 4 in adults). Nine of the 18 studies reported a positive association between zinc intake or status with one or more measure of cognitive function. Meta-analysis of data from the adult’s studies was not possible because of limited number of studies. A meta-analysis of data from the six RCTs conducted in children revealed that there was no significant overall effect of zinc intake on any indices of cognitive function: intelligence, standard mean difference of <0.001 (95% confidence interval (CI) –0.12, 0.13) P=0.95; executive function, standard mean difference of 0.08 (95% CI, –0.06, 022) P=0.26; and motor skills standard mean difference of 0.11 (95% CI –0.17, 0.39) P=0.43. Heterogeneity in the study designs was a major limitation, hence only a small number (n=6) of studies could be included in the meta-analyses. Meta-analysis failed to show a significant effect of zinc supplementation on cognitive functioning in children though, taken as a whole, there were some small indicators of improvement on aspects of executive function and motor development following supplementation but high-quality RCTs are necessary to investigate this further

A Semantic Multi-Field Clinical Search for Patient Medical Records

A semantic-based search engine for clinical data would be a substantial aid for hospitals to provide support for clinical practitioners. Since electronic medical records of patients contain a variety of information, there is a need to extract meaningful patterns from the Patient Medical Records (PMR). The proposed work matches patients to relevant clinical practice guidelines (CPGs) by matching their medical records with the CPGs. However in both PMR and CPG, the information pertaining to symptoms, diseases, diagnosis procedures and medicines is not structured and there is a need to pre-process and index the information in a meaningful way. In order to reduce manual effort to match to the clinical guidelines, this work automatically extracts the clinical guidelines from the PDF documents using a set of regular expression rules and indexes them with a multi-field index using Lucene. We have attempted a multi-field Lucene search and ontology-based advanced search, where the PMR is mapped to SNOMED core subset to find the important concepts. We found that the ontology-based search engine gave more meaningful results for specific queries when compared to term based search.Published versio

CODOC: COVID – 19 Patient Tracker

The COVID-19 corona virus has affected 81.9 million people with 1.79 million deaths in the entire world and has transformed into a global pandemic. The disease has effected 10.2 million people in India with about 148K deaths till December 2020. The COVID-19 virus is a highly infectious disease, which mainly spreads through the droplets generated by the cough, sneeze or exhale of an infected person. The disease spreads rapidly in crowded and poorly ventilated places. The virus quickly contaminates on floors and surfaces, people touching their eyes, nose and mouth after their contact with these contaminated surfaces get infected with this viral disease. As there is no cure and a vaccine currently for COVID-19, tracing, testing, tracking and treating are the most efficient tools to combat it. In order to track patients the existing methods implement fall detectors and routers which are effective in tracking patients in smaller areas. In order to overcome this drawback, a patient tracking technique COVID-Doctor (CODOC) has been proposed in this work which implements Global Positioning System (GPS) and multiple sensors to track patients in larger areas