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Internet-of-Things (IoT) devices can be employed to stream personal medical data (e.g., vitals) into healthcare information systems for the purposes of health monitoring and efficient diagnosis. A challenge however is when "dumb" terminals are employed for the data streaming process, it is difficult to determine the originating source. This makes it even harder to match personal data from...
In the era of the Internet of Things (IoT), data from sensors can give insightful enterprise information through analytics. As a result, several enterprises are adopting sensors and other wireless technologies for their needs. However, some challenges exist within the IoT space. Most of the devices in use have varied device semantics and protocol variations which can limit interoperability. As a result,...
Our ongoing project, called HIRT?, in collaboration with the Royal University Hospital in Saskatoon, Canada, is a mobile health (mHealth) facility that enables persons with mild hemophilia to self-manage minor injuries. This is a mobile distributed health information system (HIS) that requires periodic exchanges of the mobile health record. But, these carry-on personal devices such as smartphones...
Some enterprises, especially healthcare, require high level of security to protect both user and corporate privacy when consuming services on the mobile device. Thus, encryption-decryption methodologies have been employed over the years to secure the data in distributed mobile architectures. The concern that has been gravely ignored is the energy consumption cost of data encryption-decryption on battery-powered...
The use of mobile devices such as smartphones, tablets, smart watches and notebooks in the agriculture sector is gaining significant popularity. Through mobile technologies, farmers are aided to quickly and easily communicate, advertise goods and services, as well as accessing agronomic data in soft-real time. Though mobile devices are a good source of agronomic information access and dissemination,...
There is increasing interest from companies on the use of emerging mobile and cloud computing technologies to achieve enterprise specific tasks. Mobile devices such as smartphones, tablets, and notebooks can be used to access personalized and enterprise data. Moreover, recent launch of consumer devices such as wearable smart watches (e.g., Apple Watch) requires services and products re-alignment....
Gamma ray is an electromagnetic radiation with a very high frequency that can be biologically hazardous. Most workers in the mining, manufacturing, security, and other industries find themselves in such hazardous environments and governments are trying to contain this issue. While traditionally, high gamma radiation detection sensors have been manufactured to be carried along by users, they are not...
One of the promising research areas in recent times is mobile and sensor networks. The use of sensors to collect sensitive information such as radiation dosage, humidity, context information, and so on is receiving attention from both the industry and academia. In previous studies, sensors are proposed to enable radiation readings and these readings are sent to a smartphone where the user can be informed...
The modern data economy, which has been described as "Big Data", has changed the status quo on digital content creation and storage. While data storage has followed the schema-dictated approach for decades, the recent nature of digital content, which is widely unstructured, creates the need to adopt different storage techniques. Thus, the NoSQL database systems have been proposed to accommodate...
The diversity of the mobile landscape is shaping the business outlook of several enterprises including the agricultural sector. Today, there are several opportunities that can be harnessed in terms of productivity, mechanization, revenue, and so on when mobile technology is combined with agriculture technology. Especially, with mobile apps, agriculturists such as crop farmers can have access to timely...
Most enterprises today have their own Private Branch Exchange (PBX) systems that enable them to communicate on-premise and with the external or public switch telephone network. Companies that rely on heavy phone calls (especially, debt collectors) find the approach cost effective especially when automation techniques are introduced for auto dialing as a measure to reduce the number of employees who...
Unstructured data mining has become topical recently due to the availability of high-dimensional and voluminous digital content (known as "Big Data") across the enterprise spectrum. The Relational Database Management Systems (RDBMS) have been employed over the past decades for content storage and management, but, the ever-growing heterogeneity in today's data calls for a new storage approach...
This work explores the design trends on Mobile Cloud Computing (MCC) and the recent shift to Ubiquitous Cloud Computing (UCC). The study shows that efficient architectures for the MCC and UCC systems can be deployed through the employment of techniques such as: Virtual Machine (VM) Architectures and Migration, Data, Services, Resource and Computation Offloading, Partitioning and Parallel Execution,...
The medical domain is embracing mobile technology (mHealth) to enable healthcare professionals have ubiquitous access to the Electronic Health Records (EHR). This creates the need for supporting mobile users to access medical data remotely in real-time, especially in mission critical and decision making situations. However, supporting real-time access and services synchronization in highly distributed...
Analytics-as-a-Service (AaaS) has become indispensable because it affords stakeholders to discover knowledge in Big Data. Previously, data stored in data warehouses follow some schema and standardization which leads to efficient data mining. However, the Big Data epoch has witnessed the rise of structured, semi-structured, and unstructured data, a trend that motivated enterprises to employ the NoSQL...
Analytics-as-a-Service (AaaS) has become indispensable because it affords stakeholders to discover knowledge in Big Data. Previously, data stored in data warehouses follow some schema and standardization which leads to efficient data mining. However, the "Big Data" epoch has witnessed the rise of structured, semi-structured, and unstructured data, a trend that motivated enterprises to employ...
The recent advancement in mobile technology has established smartphones and tablet devices as the consumer device nodes to access the Electronic Health Records (EHR). Mobile devices further aid the healthcare professionals to access the EHR on the go and outside a centralized health facility. However, the over reliance on wireless communication mediums (e.g., Wi-FI, and 3.5G/4G) by mobile devices...
One of the major challenges of the "Big Data" epoch is unstructured data mining. The problem arises due to the storage of high-dimensional data that has no standard schema. While knowledge discovery in database (KDD) algorithms were designed for data extraction, the algorithms best fit for structured data storages. Moreover, today, at the data storage level, NoSQL databases have been deployed...
This paper presents a mobile application called MobiCrop that aids crop farmers in the application of pesticides. The requirement of the application is to have a monitoring station where updates are constantly being pushed to the farmers who are geographically dispersed. This requirement creates the need to deploy a mobile distributed architecture rather than a standalone app that has become the standard...
Recently, there is growing research interest in the area of mHealth which aims at extending the Electronic Health Records (EHR) accessibility to the mobile node. This era facilitates real-time access to medical data which is also crucial for remote healthcare delivery. However, as reported in previous studies, supporting real-time access and services synchronization in highly distributed mobile environments...
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