Wireless Sensor Network (WSN) need to be more secure while transmitting data as well as should be deployed properly to reduce redundancy and energy consumption. WSNs suffer from many constraints, including low computation capability, small memory, limited energy resources, susceptibility to...

This study is assessing the sensitivity of an affordable BCI device in the context of driver distraction in both low-fidelity simulator and real-world driving environments. Twenty-three participants performed a car following task while using a smartphone application involving a range of generic...

Wireless Body Sensor Network with wearable and implantable body sensors have been grabbing lot of interests among the researchers and healthcare service providers. These sensors forward physiological data to the personnel at the hospital, doctor or caretaker anytime, anywhere; hence the name of...

Wireless sensor networks lay down many challenging optimization problems, such as coverage, node deployment, tracking or energy conservation. In this paper, we are interested in deployment strategies that result in a minimum of sensors network while ensuring target coverage connectivity between...

As a developing country, Indonesia continues to improve its quality as a state, in which the attempt to optimize all of its potential both in terms of economic, political, social, cultural, technological, educational, health, etc. This modern era, all aspects of life are depending on technology....

This paper proposes a novel method for enhancing angular resolution in multimedia big data navigation radar system. A new radar scanning model is designed on the basis of quadratic programming theory, by which the proposed Gradient Projection (GP) algorithm is used for solving the optimal...

In the era of multimedia big data, the online learning behavior of users becomes rich and colorful. This paper proposes a hybrid clonal selection differential evolution optimization algorithm based on clonal selection algorithm and differential evolution in multimedia big data environment. The...

The pure electric vehicles have the problems of short driving range, poor acceleration performance and battery performance, this paper presents a novel double - energy fuzzy control algorithm for battery-supercapacitor based on particle swarm optimization (PSO). The proposed algorithm can avoid...

Optical character recognition is an effective way for information input of paper media and skew detection of document images is a key stage of it. An algorithm for skew detection employing hierarchical projection is proposed in this paper. Projection histograms at various directions in a given...

With a wide variety of big data applications, Sign Language Recognition has become one of the most important research areas in the field of human-computer interaction. Despite recent progresses, the task of classifying finger spelling is still very challenging in Sign Language Recognition. The...