Recent Patents on Computer Science - Volume 11, Issue 3, 2018

Background: Large-scale data has brought more challenges in the aspects of efficient storage and access requirements. Due merely to differences in the programming interface and database schema, the emerging new database cannot replace RDBMS completely. Therefore, in a longer period in the future, schema-free databases that will assist RDBMS to address the access bottleneck is a broad solution of big data access in in Read More

Background: The rapid growth of data in the healthcare domain is a great challenge for traditional data management system for handling and processing such a huge volume of data. The massive growth of data is inevitable and there arises a quest for identifying an effective storage mechanism which can handle vast dynamic data. The advances in technology have paved way for a solution by means of cloud storage. Read More

Background: In the space of a few years, Cloud computing has experienced remarkable growth. Indeed, its economic model based on demand use of hardware and software according to technical criteria such CPU utilization, memory, and bandwidth or package has strongly contributed to the liberalization of computing resources in the world. However, the development of Cloud computing requires the optimization of the perfo Read More

Background: The cloud storage service allows its users to easily store, manage and share their data using large variety of devices. However, upon outsourcing their data, the users require ways to ensure their data confidentiality without losing their granular and flexible data sharing capabilities. Method: We propose a scheme, based on cipher-text policy attribute based encryption that uses threshold- gate access structures as th Read More

Background: Epilepsy is one among the neurological disorders, which occurs due to temporary and irregular electrical disturbance in the brain. EEG signals are recorded from the patients with seizure. Gaussian filter is one of the pre-processing approaches, which is mainly applied to remove the unwanted signal and improve the signal quality. Harris operator is utilized for key point localization to remove the bad key points from th Read More

Background: A decision-making method based on prospect theory and grey relational analysis is proposed for multi-attribute decision-making with interval-valued intuitionistic fuzzy number and incomplete attribute weight. Methods: According to the prospect theory and the improved exact score function, the prospective value function of interval-valued intuitionistic fuzzy numbers is defined, and the prospect decision matrix Read More

Background: Wireless sensor networks have a wide range of applications such as home automation systems, industrial process monitoring, health care monitoring, and others. It contains a number of sensor nodes that collect data from the environments and send it to a base station. Packet scheduling algorithms are responsible of designing the structure of ready queues and selection of possible packets. They can be classifie Read More

Background: Bearing is a key component of rotating machinery, and its operating condition directly affects the performance of the whole machine. Methods: Based on the investigation of related papers and patents, a fault diagnosis model using the self-adaptive cuckoo search algorithm combined with BP neural network (SaCSBP) is proposed for the effective identification of bearing fault location and loss degree. With res Read More