4,961 research outputs found
Quasi-Static Voltage Scaling for Energy Minimization with Time Constraints
No full textSupply voltage scaling and adaptive body-biasing are important tech-niques that help to reduce the energy dissipation of embedded systems. This is achieved by dynamically adjusting the voltage and performance settings according to the application needs. In order to take full ad-vantage of slack that arises from variations in the execution time, it is important to recalculate the voltage (performance) settings during run-time, i.e., online. However, voltage scaling (VS) is computationally ex-pensive, and thus significantly hampers the possible energy savings. To overcome the online complexity, we propose a quasi-static voltage scal-ing scheme, with a constant online time complexity O(1). This allows to increase the exploitable slack as well as to avoid the energy dissipated due to online recalculation of the voltage settings. We conduct several experiments that demonstrate the advantages of the proposed technique over the previously published voltage scaling approaches
Metropolitan Alexandru Sterca-Şuluţiu in the National Movement
No full textThis study examines the activities of the Romanian Greek Catholic (Uniate) Metropolitan (Archbishop) of Blaj, Alexandru Sterca-Şuluţiu in support of the Romanian national movement in the Habsburg province of Transylvania between 1860 and 1865. His colleague, the Orthodox Bishop Andrei Şaguna, is the better known Transylvanian Romanian leader in this story, but Sterca-Şuluţiu made a unique contribution through his combative style that reflects his social origin as a member of the minor nobility of Transylvania's western mountain region
Efficient Algorithms for Counting Gapped Palindromes
No full textA gapped palindrome is a string uvu^{R}, where u^{R} represents the reverse of string u. In this paper we show three efficient algorithms for counting the occurrences of gapped palindromes in a given string S of length N. First, we present a solution in O(N) time for counting all gapped palindromes without additional constraints. Then, in the case where the length of v is constrained to be in an interval [g, G], we show an algorithm with running time O(N log N). Finally, we show an algorithm in O(N log² N) time for a more general case where we count gapped palindromes uvu^{R}, where u^{R} starts at position i with g(i) ≤ v ≤ G(i), for all positions i
PIK881305 Supplemental table - Supplemental material for A novel algorithm for the absorbed power estimation of HEXA parallel mechanism using an extended inverse dynamic model
No full textSupplemental material, PIK881305 Supplemental table for A novel algorithm for the absorbed power estimation of HEXA parallel mechanism using an extended inverse dynamic model by Lucian Milica, Alexandru Năstase and Gabriel Andrei in Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics</p
PIK881305 Supplemental Figure - Supplemental material for A novel algorithm for the absorbed power estimation of HEXA parallel mechanism using an extended inverse dynamic model
No full textSupplemental material, PIK881305 Supplemental Figure for A novel algorithm for the absorbed power estimation of HEXA parallel mechanism using an extended inverse dynamic model by Lucian Milica, Alexandru Năstase and Gabriel Andrei in Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics</p
Outcrops of Exotic Raw Material in the Bistrița Valley (north-eastern Romania) used in the Palaeolithic
No full textThis article deals with a number of raw material sources less commonly used by Palaeolithic populations in the Bistrița valley, such as amber and serpentinite. Artefacts made from such rocks have been found in the Gravettian from Poiana Cireșului-Piatra Neamț site. The identification of outcrops of this kind of materials in the Bistrița valley prompts one to reflect upon the possibility of some of them having been used as local sources.Cârciumaru Marin, Miclăuș Crina, Alexandru Smeu Andrei. Outcrops of Exotic Raw Material in the Bistrița Valley (north-eastern Romania) used in the Palaeolithic. In: Annales d'Université "Valahia" Târgovişte. Section d'Archéologie et d'Histoire, Tome 21, 2019. pp. 139-154
Energy optimization of multiprocessor systems on chip by voltage selection
No full textDynamic voltage selection and adaptive body biasing have been shown to reduce dynamic and leakage power consumption effectively. In this paper, we optimally solve the combined supply voltage and body bias selection problem for multiprocessor systems with imposed time constraints, explicitly taking into account the transition overheads implied by changing voltage levels. Both energy and time overheads are considered. The voltage selection technique achieves energy efficiency by simultaneously scaling the supply and body bias voltages in the case of processors and buses with repeaters, while energy efficiency on fat wires is achieved through dynamic voltage swing scaling. We investigate the continuous voltage selection as well as its discrete counterpart, and we prove strong NP-hardness in the discrete case. Furthermore, the continuous voltage selection problem is solved using nonlinear programming with polynomial time complexity, while for the discrete problem, we use mixed integer linear programming and a polynomial time heuristic. We propose an approach that combines voltage selection and processor shutdown in order to optimize the total energy
Improved measure of local chirality
No full textTerrence Draper, Andrei Alexandru, Ying Chen, Shao-Jing Dong, Ivan Horváth, Frank Lee, Nilmani Mathur, Harry B. Thacker, Sonali Tamhankar, Jianbo Zhan
Modeling socially responsible consumption and the need for uniqueness: a PLS-SEM approach
No full textPurpose: The purpose of the present study is intended to fill a research gap, by advancing a conceptual model which brings novel insights on the relationships between socially responsible consumption and consumer’s need for uniqueness. Design/methodology/approach: Relying on a questionnaire-based survey for data collection, the proposed model was tested using the partial least squares (PLS) algorithm for structural equation modeling (SEM), which allows the assessment of the models containing both formative and reflective constructs. Findings: The research found that 73.7 per cent of the variance in the consumer’s belief in the importance of personal power to make a difference through socially responsible choices is explained by the proposed model. Moreover, four of the five factors of socially responsible consumption fully mediate the positive effect of the consumer’s need for uniqueness on the importance attached to personal socially responsible choices in driving positive change. Research limitations/implications: The study avails a phenomenological perspective by offering novel insights from a Romanian sample. The limitation associated with a country-centric vision is compensated through the contextual analysis and integration of a new point of reference in the overall framework of socially responsible consumption. Practical implications: The evidence is indicative of new consumption insights and should be closely considered by companies. Originality/value: The study draws upon a conceptual model integrating the relationships between socially responsible consumption and a psychological characteristic – the consumer’s need for uniqueness – which has been never tested as such before
Multi-Agent Reinforcement Learning using Centralized Critics in Collaborative Environments
No full textAgents trained through single-agent reinforcement learning methods such as self-play can provide a good level of performance in multi-agent settings and even in fully cooperative environments. However, most of the time, training multiple agents together using single-agent self-play yields poor results as each agent tries to learn how to perform their task while their teammates are also learning. Thus, training models to reach an optimal behaviour in such situations becomes a challenging, if not impossible issue to overcome. One possible solution to deal with this problem is to facilitate a centralized training process in which the policies of all agents are evaluated by a centralized critic that has access to the observations and actions of all the agents in the environment. By using this approach, the environment becomes stationary and the agents learn in a similar way to using a single-agent algorithm in settings where only one agent needs to be trained. In this paper, we test whether by using a multi-agent reinforcement learning algorithm with centralized critics, as opposed to single-agent ones, we would obtain an agent that generalizes better to new partners in a collaborative environment such as Overcooked, where coordination is critical for good performance. The results display a similar performance between the two algorithms when evaluated through self-play and slightly better or worse results when paired with the human model, representing a mediocre agent, depending on the map. Thus, the multi-agent, centralized critics algorithm used in this study did not train agents that generalize better to new partners. However, the training metrics clearly indicate that the centralized critics method makes the agents learn and converge twice as fast as its single-agent version.https://github.com/andrei-07/rp-overcooked-centralized-critics Link to GitHub repositoryCSE3000 Research ProjectComputer Science and Engineerin
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