Penn State College of Communications

About: Penn State College of Communications is a based out in . It is known for research contribution in the topics: Relay & Cognitive radio. The organization has 2106 authors who have published 2119 publications receiving 24693 citations.

International publishing partnerships for China's English language journals and financial security

Abstract: This article considers China's English language journals (CELJs) and looks at two aspects of partnership with international publishers: the financial cost and their ability to deliver the quick success objectives of the journals. Success is defined as being indexed in international databases such as SCI (Science Citation Index) and Ei (Engineering Index) Compendex databases. Our research shows that 226 CELJs (57.8%) have an international publishing partnership with publishers such as Springer, Elsevier, and Wiley. A survey of 12 CELJs in Hubei Province, China, shows that 75% journals have financial pressures on the journal operation. The Journal of Rock Mechanics and Geotechnical Engineering ( JRMGE ) is provided as an illustration of the operation costs of CELJs and to demonstrate the associated financial pressures. We conclude that although international partnership is an on‐going fashion at present in China, it has both benefits and limitations. We also propose that to reduce the financial pressure on CELJs, government funding should be differently apportioned, providing a better return on investment (ROI).

Secure Energy Efficiency Maximization in Cognitive Satellite-Terrestrial Networks

Abstract: This article investigates the secure energy efficiency (EE) optimization problem in a cognitive satellite-terrestrial network with a capable eavesdropper. The objective is to maximize the secure EE for the primary satellite network while satisfying the allowable signal-to-interference-plus-noise ratio requirements of the secondary and primary users along within the transmit power limitation of both satellite and the terrestrial base station. Owing to the nonconvexity and intractability of the original optimization problem, a beamforming scheme and associated transformation algorithms are proposed by jointly applying the Taylor approximation, fraction programming, and alternating search to cope with the implementation difficulty. The key is to convert the original optimization problem into a simple convex framework and obtain the optimal solution step by step. Finally, numerical simulations are given to verify the feasibility and practicability of the proposed optimization algorithms.

A method for minimizing Moore finite-state machines by merging two states

Abstract: The problem of minimization of Moore finite-state machines (FSMs) is considered. This problem often arises in designing digital devices based on programmable logic devices. The proposed approach uses the operation of merging of two states of an FSM and the representation of the FSM as a list of transitions. Conditions guaranteeing the identical operation and deterministic behavior of the transformed FSM obtained by merging two states are given. The cases when wait states can emerge are also discussed. Algorithms for minimizing the number of internal states, transition paths, and the number input variables of Moore FSMs are described. Experimental results have shown that the proposed approach reduces the number of internal states by 6% on the average and sometimes by a factor of 1.86; the number of transitions is reduced by 20% on the average and sometimes by a factor of 2.83. The use of the proposed method in combination with the STAMINA computer program reduces the number of internal states by 16% on the average and sometimes by a factor of 2.17; the number of transitions is reduced by 41% on the average and sometimes by a factor of 7.97. In conclusion, important directions of research concerning the minimization of FSMs are discussed.

Security of full-duplex jamming SWIPT system with multiple non-colluding eavesdroppers

Abstract: In this paper, the secrecy performance of full-duplex jamming SWIPT system is conducted where multiple eavesdroppers intercept the confidential information individually. The closed-form expressions of the connection outage probability (COP), the secrecy outage probability (SOP), the reliable-secure probability (RSP) and the secrecy throughput are obtained, which depict the secrecy performance of the system intuitively. The results demonstrate the significance of the power-splitting ratio, the transmit signal-to-noise ratio (SNR) and the secrecy information rate on the system security. All the observations indicate the existence of a optimum pair of the secrecy information rate and the power splitting ratio which maximize the secrecy throughput. Numerical results are provided for the validation of the analysis.

Consuming memes during the COVID pandemic: Effects of memes and meme type on COVID-related stress and coping efficacy

Abstract: As COVID-19 quickly spread across the globe, social media memes (i.e., typically humorous or cute images related to popular culture) about life in a pandemic also spread across the Internet. We conducted a between-subjects online experiment (N = 748) to assess how viewing memes during this pandemic era may influence audiences' stress and coping. In terms of psychological responses, we found that meme viewing (vs. nonmeme content) was associated with stronger cuteness responses, higher levels of reported humor, more positive emotions, and lower levels of information processing. However, meme viewing was not associated with state anxiety, COVID-19-related stress, or COVID-19-related coping efficacy. Furthermore, because memes generated positive emotions that were in turn related to increased COVID-19 coping efficacy, a path analysis found that viewing memes, as compared with nonmeme content, indirectly increased COVID-19 coping efficacy. Looking at the effects of meme type, we found that memes featuring animals were rated as cuter than memes with humans, though the former engendered lower information processing and predicted lower coping efficacy than did human memes. Cuteness responses, generally, were associated with decreased coping efficacy. In contrast, meme captions related to COVID-19 were related to deeper information processing and lower levels of COVID-19-related stress than were captions unrelated to COVID-19. Information processing was, in turn, associated with increased coping efficacy. This research demonstrates that memes, particularly those that relate to a highly stressful context, may help support efforts to cope with the stressor. (PsycInfo Database Record (c) 2021 APA, all rights reserved) Impact Statement Compared with viewing other media content, viewing memes resulted in Internet users experiencing greater humor and positive emotions. When Internet users viewed memes with captions focused on COVID-19, they reported lower COVID-19-related stress levels than if they viewed memes focused on other topics, suggesting that tackling a stressor directly with humorous popular media content can benefit our emotional state and stress levels. (PsycInfo Database Record (c) 2021 APA, all rights reserved)