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https://www.readbyqxmd.com/read/29124094/a-novel-reversible-logic-gate-and-its-systematic-approach-to-implement-cost-efficient-arithmetic-logic-circuits-using-qca
#1
Peer Zahoor Ahmad, S M K Quadri, Firdous Ahmad, Ali Newaz Bahar, Ghulam Mohammad Wani, Shafiq Maqbool Tantary
Quantum-dot cellular automata, is an extremely small size and a powerless nanotechnology. It is the possible alternative to current CMOS technology. Reversible QCA logic is the most important issue at present time to reduce power losses. This paper presents a novel reversible logic gate called the F-Gate. It is simplest in design and a powerful technique to implement reversible logic. A systematic approach has been used to implement a novel single layer reversible Full-Adder, Full-Subtractor and a Full Adder-Subtractor using the F-Gate...
December 2017: Data in Brief
https://www.readbyqxmd.com/read/29119114/model-checking-temporal-logic-formulas-using-sticker-automata
#2
Weijun Zhu, Changwei Feng, Huanmei Wu
As an important complex problem, the temporal logic model checking problem is still far from being fully resolved under the circumstance of DNA computing, especially Computation Tree Logic (CTL), Interval Temporal Logic (ITL), and Projection Temporal Logic (PTL), because there is still a lack of approaches for DNA model checking. To address this challenge, a model checking method is proposed for checking the basic formulas in the above three temporal logic types with DNA molecules. First, one-type single-stranded DNA molecules are employed to encode the Finite State Automaton (FSA) model of the given basic formula so that a sticker automaton is obtained...
2017: BioMed Research International
https://www.readbyqxmd.com/read/29117100/feature-selection-for-motor-imagery-eeg-classification-based-on-firefly-algorithm-and-learning-automata
#3
Aiming Liu, Kun Chen, Quan Liu, Qingsong Ai, Yi Xie, Anqi Chen
Motor Imagery (MI) electroencephalography (EEG) is widely studied for its non-invasiveness, easy availability, portability, and high temporal resolution. As for MI EEG signal processing, the high dimensions of features represent a research challenge. It is necessary to eliminate redundant features, which not only create an additional overhead of managing the space complexity, but also might include outliers, thereby reducing classification accuracy. The firefly algorithm (FA) can adaptively select the best subset of features, and improve classification accuracy...
November 8, 2017: Sensors
https://www.readbyqxmd.com/read/29081744/predictive-mechanisms-are-not-involved-the-same-way-during-human-human-vs-human-machine-interactions-a-review
#4
REVIEW
Aïsha Sahaï, Elisabeth Pacherie, Ouriel Grynszpan, Bruno Berberian
Nowadays, interactions with others do not only involve human peers but also automated systems. Many studies suggest that the motor predictive systems that are engaged during action execution are also involved during joint actions with peers and during other human generated action observation. Indeed, the comparator model hypothesis suggests that the comparison between a predicted state and an estimated real state enables motor control, and by a similar functioning, understanding and anticipating observed actions...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/29076018/climate-change-fisheries-management-and-fishing-aptitude-affecting-spatial-and-temporal-distributions-of-the-barents-sea-cod-fishery
#5
Arne Eide
Climate change is expected to influence spatial and temporal distributions of fish stocks. The aim of this paper is to compare climate change impact on a fishery with other factors impacting the performance of fishing fleets. The fishery in question is the Northeast Arctic cod fishery, a well-documented fishery where data on spatial and temporal distributions are available. A cellular automata model is developed for the purpose of mimicking possible distributional patterns and different management alternatives are studied under varying assumptions on the fleets' fishing aptitude...
October 26, 2017: Ambio
https://www.readbyqxmd.com/read/29064510/biomolecular-computers-with-multiple-restriction-enzymes
#6
Sebastian Sakowski, Tadeusz Krasinski, Jacek Waldmajer, Joanna Sarnik, Janusz Blasiak, Tomasz Poplawski
The development of conventional, silicon-based computers has several limitations, including some related to the Heisenberg uncertainty principle and the von Neumann "bottleneck". Biomolecular computers based on DNA and proteins are largely free of these disadvantages and, along with quantum computers, are reasonable alternatives to their conventional counterparts in some applications. The idea of a DNA computer proposed by Ehud Shapiro's group at the Weizmann Institute of Science was developed using one restriction enzyme as hardware and DNA fragments (the transition molecules) as software and input/output signals...
October 23, 2017: Genetics and Molecular Biology
https://www.readbyqxmd.com/read/29055845/deriving-suitability-factors-for-ca-markov-land-use-simulation-model-based-on-local-historical-data
#7
Xin Fu, Xinhao Wang, Y Jeffrey Yang
Multiple Criteria Evaluation (MCE) is a multi-attributes decision making tool often used in land suitability analysis and land use simulation using Cellular Automata (CA)-Markov model. The goal of this research is to explore the feasibility of using historical data of a study area to select, score, and weight factors quantitatively in the MCE. We have developed logistic regression models fitted by the historical land use changes to select and score each potential factor, and used the Entropy method to determine weights for the selected factors...
October 19, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/29039035/temporal-dynamics-of-land-use-land-cover-change-and-its-prediction-using-ca-ann-model-for-southwestern-coastal-bangladesh
#8
M Tauhid Ur Rahman, Faheemah Tabassum, Md Rasheduzzaman, Humayra Saba, Lina Sarkar, Jannatul Ferdous, Syed Zia Uddin, A Z M Zahedul Islam
Change analysis of land use and land cover (LULC) is a technique to study the environmental degradation and to control the unplanned development. Analysis of the past changing trend of LULC along with modeling future LULC provides a combined opportunity to evaluate and guide the present and future land use policy. The southwest coastal region of Bangladesh, especially Assasuni Upazila of Satkhira District, is the most vulnerable to natural disasters and has faced notable changes in its LULC due to the combined effects of natural and anthropogenic causes...
October 17, 2017: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/29035805/velocity-of-lateral-drying-fronts-in-film-formation-by-drying-of-colloidal-dispersions-a-2d-simulation
#9
M Nassar, A Gromer, F Thalmann, P Hébraud, Y Holl
Drying of colloids is always heterogeneous and proceeds by progression of drying fronts in various directions at various velocities. The fundamental mechanisms at the origin of appearance and motion of drying fronts are still not totally understood. This article addresses these questions in the case of lateral drying fronts by using the new simulation tool based on cellular automata we recently developed (Langmuir 2015 and 2017). For the first time, a 2D simulation is proposed. Silica dispersions were used as model colloids to test the simulation...
October 4, 2017: Journal of Colloid and Interface Science
https://www.readbyqxmd.com/read/28979308/sequential-and-mixed-genetic-algorithm-and-learning-automata-sgala-mgala-for-feature-selection-in-qsar
#10
Habib MotieGhader, Sajjad Gharaghani, Yosef Masoudi-Sobhanzadeh, Ali Masoudi-Nejad
Feature selection is of great importance in Quantitative Structure-Activity Relationship (QSAR) analysis. This problem has been solved using some meta-heuristic algorithms such as GA, PSO, ACO and so on. In this work two novel hybrid meta-heuristic algorithms i.e. Sequential GA and LA (SGALA) and Mixed GA and LA (MGALA), which are based on Genetic algorithm and learning automata for QSAR feature selection are proposed. SGALA algorithm uses advantages of Genetic algorithm and Learning Automata sequentially and the MGALA algorithm uses advantages of Genetic Algorithm and Learning Automata simultaneously...
2017: Iranian Journal of Pharmaceutical Research: IJPR
https://www.readbyqxmd.com/read/28971399/qm-automata-a-new-class-of-restricted-quantum-membrane-automata
#11
Konstantinos Giannakis, Alexandros Singh, Kalliopi Kastampolidou, Christos Papalitsas, Theodore Andronikos
The term "Unconventional Computing" describes the use of non-standard methods and models in computing. It is a recently established field, with many interesting and promising results. In this work we combine notions from quantum computing with aspects of membrane computing to define what we call QM automata. Specifically, we introduce a variant of quantum membrane automata that operate in accordance with the principles of quantum computing. We explore the functionality and capabilities of the QM automata through indicative examples...
2017: Advances in Experimental Medicine and Biology
https://www.readbyqxmd.com/read/28970095/new-statistical-models-of-nonergodic-cognitive-systems-and-their-pathologies
#12
Rodrick Wallace
Cognition most singularly involves choice that reduces uncertainty. Reduction of uncertainty implies the existence of an information source 'dual' to the cognitive process under study. However, information source uncertainty for path-dependent nonergodic systems cannot be described as a conventional Shannon 'entropy' since time averages are not ensemble averages. Nonetheless, the essential nature of information as a form of free energy allows study of nonergodic cognitive systems having complex dynamic topologies whose algebraic expression is in terms of directed homotopy groupoids rather than groups...
January 7, 2018: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/28946404/numerical-simulation-of-non-dendritic-structure-formation-in-mg-al-alloy-solidified-with-ultrasonic-field
#13
Xiaohui Feng, Fuze Zhao, Hongmin Jia, Yingju Li, Yuansheng Yang
The formation of non-dendritic structure of Mg alloy solidified with ultrasonic treatment was investigated by numerical simulation and experiment. The models of nucleation and crystal growth involved the effects of ultrasonic cavitation and acoustic streaming were built. Based on the models, the grain refinement and the microstructure change from dendrite to non-dendritic structure of a Mg-Al alloy were numerically simulated by cellular automata method. The simulation and experimental results indicated that the ultrasonic cavitation strongly contributes to the grain refinement by improving nucleation, while the acoustic streaming is mainly responsible for the formation of non-dendritic structure...
January 2018: Ultrasonics Sonochemistry
https://www.readbyqxmd.com/read/28944450/dynamic-spatial-models-of-parasite-transmission-in-wildlife-their-structure-applications-and-remaining-challenges
#14
REVIEW
Lauren A White, James D Forester, Meggan E Craft
Individual differences in contact rate can arise from host, group and landscape heterogeneity and can result in different patterns of spatial spread for diseases in wildlife populations with concomitant implications for disease control in wildlife of conservation concern, livestock and humans. While dynamic disease models can provide a better understanding of the drivers of spatial spread, the effects of landscape heterogeneity have only been modelled in a few well-studied wildlife systems such as rabies and bovine tuberculosis...
September 25, 2017: Journal of Animal Ecology
https://www.readbyqxmd.com/read/28924178/logical-gates-in-actin-monomer
#15
Andrew Adamatzky
We evaluate information processing capacity of a single actin molecule by calculating distributions of logical gates implemented by the molecule via propagating patterns of excitation. We represent a filamentous actin molecule as an excitable automaton network (F-actin automaton). where every atom updates its state depending on states of atoms its connected to with chemical bonds (hard neighbours) and atoms being in physical proximity to the atom (soft neighbours). A resting atom excites if a sum of its excited hard neighbours and a weighted sum of its soft neighbours belong to some specified interval...
September 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28916462/causation-constructors-and-codes
#16
Jan-Hendrik S Hofmeyr
Relational biology relies heavily on the enriched understanding of causal entailment that Robert Rosen's formalisation of Aristotle's four causes has made possible, although to date efficient causes and the rehabilitation of final cause have been its main focus. Formal cause has been paid rather scant attention, but, as this paper demonstrates, is crucial to our understanding of many types of processes, not necessarily biological. The graph-theoretic relational diagram of a mapping has played a key role in relational biology, and the first part of the paper is devoted to developing an explicit representation of formal cause in the diagram and how it acts in combination with efficient cause to form a mapping...
September 12, 2017: Bio Systems
https://www.readbyqxmd.com/read/28911878/comparison-of-proposed-countermeasures-for-dilemma-zone-at-signalized-intersections-based-on-cellular-automata-simulations
#17
Yina Wu, Mohamed Abdel-Aty, Yaoxian Ding, Bin Jia, Qi Shi, Xuedong Yan
The Type II dilemma zone describes the road segment to a signalized intersection where drivers have difficulties to decide either stop or go at the onset of yellow signal. Such phenomenon can result in an increased crash risk at signalized intersections. Different types of warning systems have been proposed to help drivers make decisions. Although the warning systems help to improve drivers' behavior, they also have several disadvantages such as increasing rear-end crashes or red-light running (RLR) violations...
September 11, 2017: Accident; Analysis and Prevention
https://www.readbyqxmd.com/read/28846712/hybrid-multiscale-modeling-and-prediction-of-cancer-cell-behavior
#18
Mohammad Hossein Zangooei, Jafar Habibi
BACKGROUND: Understanding cancer development crossing several spatial-temporal scales is of great practical significance to better understand and treat cancers. It is difficult to tackle this challenge with pure biological means. Moreover, hybrid modeling techniques have been proposed that combine the advantages of the continuum and the discrete methods to model multiscale problems. METHODS: In light of these problems, we have proposed a new hybrid vascular model to facilitate the multiscale modeling and simulation of cancer development with respect to the agent-based, cellular automata and machine learning methods...
2017: PloS One
https://www.readbyqxmd.com/read/28841563/simultaneous-observation-of-hybrid-states-for-cyber-physical-systems-a-case-study-of-electric-vehicle-powertrain
#19
Chen Lv, Yahui Liu, Xiaosong Hu, Hongyan Guo, Dongpu Cao, Fei-Yue Wang
As a typical cyber-physical system (CPS), electrified vehicle becomes a hot research topic due to its high efficiency and low emissions. In order to develop advanced electric powertrains, accurate estimations of the unmeasurable hybrid states, including discrete backlash nonlinearity and continuous half-shaft torque, are of great importance. In this paper, a novel estimation algorithm for simultaneously identifying the backlash position and half-shaft torque of an electric powertrain is proposed using a hybrid system approach...
August 22, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28814968/asp-based-method-for-the-enumeration-of-attractors-in-non-deterministic-synchronous-and-asynchronous-multi-valued-networks
#20
Emna Ben Abdallah, Maxime Folschette, Olivier Roux, Morgan Magnin
BACKGROUND: This paper addresses the problem of finding attractors in biological regulatory networks. We focus here on non-deterministic synchronous and asynchronous multi-valued networks, modeled using automata networks (AN). AN is a general and well-suited formalism to study complex interactions between different components (genes, proteins,...). An attractor is a minimal trap domain, that is, a part of the state-transition graph that cannot be escaped. Such structures are terminal components of the dynamics and take the form of steady states (singleton) or complex compositions of cycles (non-singleton)...
2017: Algorithms for Molecular Biology: AMB
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