Entries on Computer Sciences
The Internet of Things ( IoT ) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. The definition of the Internet of Things has evolved due to the convergence of multiple technologies, real-time analytics, machine learning , commodity sensors, and embedded systems. IoT devices are a part of the larger concept of home automation, which can include lighting, heating and air conditioning, media and security systems. Long-term benefits could include energy savings by automatically ensuring lights and electronics are turned off. This FISWSN framework being discussed in IoT architecture has the capability to be extended to other architectures. For example, Gateway and Networking which is in the second IoT layer can be applied in Cloud Computing. The main limitation in this study is that the proposed framework is applicable only in the first layer of IoT network architecture and that the implemented WSN in it is cluster based. it indicate that today’s adaptive learning systems have negligible impact on learning outcomes, one aspect of quality. Adaptive learning has been partially driven by a realization that tailored learning cannot be achieved on a large-scale using traditional, non-adaptive approaches. Adaptive learning systems endeavor to transform the learner from passive receptor of information to collaborator in the educational process. Adaptive learning systems' primary application is in education, but another popular application is business training. They have been designed as desktop computer applications, web applications, and are now being introduced into overall curricula. this study focus mainly on how IoT devices can adopt this adaptive method(s). Fuzzy logic plays a big role here
QUESTIONS: 1a. what is Data communication 1. Describe two (2) type of line configuration and Give two (2) example of each 2. List and briefly explain any five (5) Key task performance in data communication 3. Asynchronous data is transmitted in the form of characters made up as follow: five information bits each of duration 20 ms, a start bit the same duration as the information bits and stop bit of duration 30 ms. Determine: (a) the transmission rate in bps (b) The signaling rate in baud
Abstract— In this paper, I present a new learning algorithm for extracting translation invariant features for image classification. Using the golden ratio and a new filtering method that collapses the pixel output from the convolution layer into a learned feature representation, keeping its statistical properties intact In this paper, I present a new learning algorithm for extracting translation invariant features for image classification. Using the golden ratio and a new filtering method that collapses the pixel output from the convolution layer into a learned feature representation, keeping its statistical properties intact.
The world is experiencing at the moment and years to come to an influx of data from the available connected devices. As we welcome new gadgets especially connected to the Internet, we release more data into the cloud. Cloud computing is a phenomenon that also revolutionalized our lives. It was once we had to move our data such as pictures, music, etc over some portable disk or USB drives but not anymore. All the digitized mediums have hugely contributed to the large volumes of our private and public stored in the cloud. How do we approach the data related to our health acquired through various Electronic Health Management systems or most popularly, smartphones, smart watches or smart bands? This piece of review document endeavours to study the research that has been conducted by other school of thoughts and review them to understand how health data in the cloud has been approached.