Energy Efficiency Maximization with Optimal Beamforming in Secure MISO CRNs with SWIPT

In this paper, the optimal beamforming problem of multi-input single-output (MISO) cognitive radio (CR) downlink networks with simultaneous wireless information and power transfer is studied. Due to the nonconvexity of the objective function, the considered nonconvex optimization problem is firstly transformed to an equivalent subtraction problem and then an approximated convex optimization problem is obtained by using the successive convex approximation (SCA). When the instantaneous channel state information (CSI) of the eavesdropping link is unknown to the legitimate transmitter, another interruption-constrained energy efficiency optimization problem is proposed and the Bernstein-type inequality (BTI) is used to conservatively approximate the probability constraint. The paper proposes a two-level iterative algorithm based on Dinkelbach to find the optimal solution of the EE maximization problem. Numerical results validate the effectiveness and convergence of the proposed algorithm.

On the Robustness and Generality of the Correspondence Bias

People routinely assume correspondence between acts and dispositions. This “correspondence bias” leads people to neglect the power of the situation to influence behavior. However, most of the research documenting the correspondence bias uses paradigms in which the situation operates in the background. The three studies presented here employ novel paradigms in which people have full information about the situation and its effect on behavior. We find that the bias persists in the face of debiasing treatments and even in situations where avoiding it amounts to a simple subtraction problem. We also find that the correspondence bias generalizes to inanimate objects. In light of this new evidence, we reconsider the psychological origins of the correspondence bias.

Designing a Mobile Game Application for Student with Learning Disabilities

Learning disabilities are a problem that influences the brain's capacity to receive, process, analyze and store information. These processing issues can interfere with learning fundamental abilities, especially for learning mathematics. Fortunately, different approaches and methods in teaching and learning can improve students with learning disabilities to understand and know to count basic mathematic operations. This study focuses on the designing of mobile game applications based on the Speedline method to help students with learning disabilities to understand basic mathematical operational especially the addition and subtraction problem. Based on the findings, Speedline game was design using the puzzle game concept and the game design is fully discussed in this paper.

Identifikasi Mental Computation Siswa Disleksia dalam Melakukan Operasi Penjumlahan dan Pengurangan Bilangan Bulat

To describe mental computation strategies of the dyslexic student in performing the addition and subtraction of 1-digit and 2-digit integer. Mental computation is a process of doing arithmetic calculations without using other tools. This strategy will help dyslexic students find more accurate and flexible solution while solving the arithmetic problem because it can minimize their weaknesses in terms of reading and writing. This research uses the qualitative approach. Data were collected by using a task-based interview for two dyslexic students. The results of this study indicate that dyslexic students use the spin-around strategy to solve the addition for the 1-digit number and the working from the right and from the left strategies to solve the addition for the 2-digit number. Meanwhile, to solve the subtraction problem, dyslexic students use think addition and counting back strategies for the 1-digit number and Working from The Right strategy for the 2-digit number.

Adaptive multiple subtraction based on multiband pattern coding

Adaptive multiple subtraction is the key step of surface-related multiple elimination methods. The main challenge of this technique resides in removing multiples without distorting primaries. We have developed a new pattern-based method for adaptive multiple subtraction with the consideration that primaries can be better protected if the multiples are differentiated from the primaries. Different from previously proposed methods, our method casts the adaptive multiple subtraction problem as a pattern coding and decoding process. We set out to learn distinguishable patterns from the predicted multiples before estimating the multiples contained in seismic data. Hence, in our method, we first carried out pattern coding of the predicted multiples to learn the special patterns of the multiples within different frequency bands. This coding process aims at exploiting the key patterns contained in the predicted multiples. The learned patterns are then used to decode (extract) the multiples contained in the seismic data, in which process those patterns that are similar to the learned patterns were identified and extracted. Because the learned patterns are obtained from the predicted multiples only, our method avoids the interferences of primaries in nature and shows an impressive capability for removing multiples without distorting the primaries. Our applications on synthetic and real data sets gave some promising results.

Selective Interference of Finger Movements on Basic Addition and Subtraction Problem Solving

Fingers offer a practical tool to represent and manipulate numbers during the acquisition of arithmetic knowledge, usually with a greater involvement in addition and subtraction than in multiplication. In adults, brain-imaging studies show that mental arithmetic increases activity in areas known for their contribution to finger movements. It is unclear, however, if this truly reflects functional interactions between the processes and/or representations controlling finger movements and those involved in mental arithmetic, or a mere anatomical proximity. In this study we assessed whether finger movements interfere with basic arithmetic problem solving, and whether this interference is specific for the operations that benefit the most from finger-based calculation strategies in childhood. In Experiment 1, we asked participants to solve addition, subtraction, and multiplication problems either with their hands at rest or while moving their right-hand fingers sequentially. The results showed that finger movements induced a selective time cost in solving addition and subtraction but not multiplication problems. In Experiment 2, we asked participants to solve the same problems while performing a sequence of foot movements. The results showed that foot movements produced a nonspecific interference with all three operations. Taken together, these findings demonstrate the specific role of finger-related processes in solving addition and subtraction problems, suggesting that finger movements and mental arithmetic are functionally related.