ACP Method Research Articles

Parallel Intelligent Monitoring System of Port Water Quality Based on the ACP Method

With the rapid development of port construction and the shipping industry, port water quality issues are of great concern. This is always a challenging task due to the frequent human activities and dynamic processes involved. A parallel intelligent water quality monitoring system is therefore proposed to ensure the effective monitoring and intelligent control of water pollutants. The real monitoring system and the artificial monitoring system of port water quality are established by applying artificial systems, computational experiments and parallel execution (ACP method). Both systems interact with each other and execute in parallel. The artificial monitoring system simulates complex scenarios, while the real monitoring system feeds the artificial monitoring system with actual monitoring data. By means of data-driven and model-driven approaches, the two systems can compute, observe and evaluate to control, manage and train models. Through the continuous optimization between the two systems, the efficiency and accuracy of the water quality monitoring system could be improved. Technical support can be further provided for the planning of water quality monitoring sites, implementation of monitoring tasks, allocation of emergency resources, etc. As in-situ monitoring data are obtained, computational experiments and parallel executions could be conducted to achieve the ultimate goal of port water quality management.

A Novel Approach for Predictable Governance of Decentralized Autonomous Organizations Based on Parallel Intelligence

Decentralized autonomous organizations (DAOs) have become an indispensable part of digital infrastructure in recent years. The unique organizational characteristics and functional structure empower them to become an effective tool for solving corporate governance issues, including contract risks, principal-agent dilemmas, etc. However, DAOs themselves also face a variety of governance issues. On one hand, as a new economic organization model, the existing corporate governance theories and methods are no longer fully applicable to DAOs. On the other hand, unpredictable logic vulnerabilities and code loopholes in the governance mechanism might cause devastating damage to DAOs. The parallel intelligence theory based on the ACP method (i.e., artificial systems, computational experiments, and parallel execution) is an elegant research paradigm and a practical approach tailored to solving these challenges. As such, we propose a novel parallel governance framework for DAOs based on the parallel intelligence theory and further discuss its technical methodology and implementation model. Furthermore, we construct a parallel governance system for GnosisDAO and conduct computational experiments to validate the effectiveness of its governance mechanism. The experimental results not only confirm the defects of the GnosisDAO governance mechanism but also illustrate parallel governance as a useful research direction to solve existing governance problems of DAOs.

Digital Workers in Cyber–Physical–Social Systems for PCB Manufacturing

With the rapid development of smart manufacturing technologies, machines as primary productivity have come into intelligent era. In current industrialization, workers play an significant role in PCB manufacturing and gradually become the bottleneck of the whole manufacturing process. However, the workers in factories have been ignored for a long time. There are not any intelligent method to organize, coordinate and manage them efficiently. In this paper, based on CPSS and ACP theory, we propose a digital worker system to facilitate biological workers to perform human resource management, largely reducing workload, improving working performance, and taking care of physical and mental health of human workers. In this CPSS system, we leverage ACP method to construct a super brain between digital workers, implementing descriptive intelligence, predictive intelligence, and prescriptive intelligence, thus providing personal guidance and management strategies for each biological worker. Consequently we could relieve job burnout and reduce turnover rate for PCB manufacturers.

Cyber-Physical-Social System for Parallel Driving: From Concept to Application

Digital quadruplets aiming to improve road safety, traffic efficiency, and driving cooperation for future connected automated vehicles are proposed with the enlightenment of ACP-based parallel driving. The ACP method denotes artificial societies, computational experiments, and parallel execution modules for cyberphysical-social systems. Four agents are designed in the framework of digital quadruplets: descriptive vehicles, predictive vehicles, prescriptive vehicles, and real vehicles. The three virtual vehicles (descriptive, predictive, and prescriptive) dynamically interact with the real one to enhance the safety and performance of the real vehicle. The details of the three virtual vehicles in the digital quadruplets are described. Then, the interactions between the virtual and real vehicles are presented. The experimental results of the digital quadruplets demonstrate the effectiveness of the proposed framework.

Determinants of Innovation in Tunisian Hotels

The objective of this paper is the measurement of the innovation’s degree and its impact on performance of Tunisian hotels between 3 and 5 stars after the revolution happened on 2011 (in 2015 the number of Tunisia hotels is about 409 hotel: 3, 4 and 5 stars). For this study, our model used is based on and their determinants (12 determinants are used and classified in 3 categories: internal, external and environmental factors). To sum up those variables and to be sure about the future results we used the ACP method. Based on our results obtained, both internal and contextual factors are important for the innovation and the performance of Tunisian hotels.

Parallel Battlefield Test based on ACP Method

Parallel battlefield Test Research Based on ACP method is an important means to test the operational effectiveness and operational applicability of equipment system. It is a new type of equipment test carried out by our army under the background of the new military revolution in the world. Parallel battlefield test based on ACP method is an effective means of test management and control through the combination of physical and computational tests and complementary of actual military system and artificial military system. Aiming at the problem that the equipment performance test and in-service assessment test cannot reflect the combat effectiveness in real battlefield environment, combined with the theory of parallel test method, the framework system of space parallel battlefield test system based on ACP method is proposed, and its artificial system modeling, computational experiment design and parallel execution mechanism are studied respectively.

Remote sensing and sig contribution for the identification of the fracturation influence on the drainage network architecture in the High Ziz River basin, Central High Atlas, Morocco

Abstract This study aims to contribute to a better estimation of the density of fractures likely to favour the drainage of surface water in the High Ziz River (HZR) basin. The method adopted consists of the use of different airborne image processing techniques (filtering, enhancement and slope analysis) which allow a good discrimination of image discontinuities (lineaments) that can then be used for producing lineament maps. The influence of these lineaments on the underground flow is then studied. Indeed, it was possible to extract the lineament network, following the exploitation of remote sensing and an objectively completed analog analysis using the PCI Geomatica LINE module and its directional filters (Sobel directional filters by the ACP method), and to extract the hydrographic network of the HZR basin, using the ArcHydro tool. After superimposing these data, their thematic maps (of the lineament and hydrographic network) were developed. In addition, this comparison of the two hydrographic networks and lineament maps showed us very varied flow directions influenced by geological structures, particularly fracturing. The topography of the region also has a secondary impact on flows through the presence of slopes generally oriented towards the SE of the basin. The correlation of the results with the different directions of the orders of the hydrographic network allowed us to identify the potential effects of lineaments on the orientations of surface water circulation. In addition to these results, the realization of the Rose diagram indicated that the dominant trend in lineaments is N90–45N° (NE–SW).

Cartography of Extreme Rainfall and Their Relationship with Topography in the French Alps

The extreme rains of court duration are the principal cause of brutal and catastrophic flood that can be produced on a nombre of smal bassin on the french Alps. This study consists on a cartography of extraim values of pluviometric parametres, as a Gradex, rains with a period of 10 years, 100 years and 1000 years, for six steps of time (1 h, 2 h, 3 h, 6 h, 12 h, 24 h); and Montana parameter on the french Alps where the orographic effect is big and the estimation of reliables values on unmonitored site using data of environmental stations need the introduction of morphometric informations. The areA study covers a surface of 250 km × 450 km and dispose of 65 oluviometrics stations of average durations between 30 and 35 years. This study has been done on two steps, first we have done a presentation of a region by a relief and a climate, second, we have displayed pluviometrics systems using ACP method. The idea based on AURELHY method (Analysing Using Relief for HYdrometeology) that consists to intervene the local topography by a lineair regression and analysing by kriging the residu of the regression has been used for this cartography.

Validación de apariencia, contenido y consistencia interna de la Escala de Apreciación de Agencia de Autocuidado (ASA) para Costa Rica, segunda versión en español para población conocida sana

Introducción. Este artículo presenta los resultados obtenidos del proceso de validación de apariencia, contenido y consistencia interna al que fue sometida la segunda versión en español de la escala ASA con población costarricense conocida sana. Metodología. Se trata de un estudio descriptivo, transversal, de enfoque cuantitativo, diseño no experimental y psicométrico, realizado con una muestra de 105 personas en etapa de adultez temprana, intermedia y tardía. Resultado. La investigación determinó que el estudio factorial (método ACP) con rotación Varimax sugirió el análisis con cinco ejes factoriales que explican el 60,03% de la varianza total en Costa Rica. Del resultado de los dominios anteriores, se destaca que en la mayoría de ellos predomina la categoría relacionada al requisito universal de prevención de peligros contra la vida, el funcionamiento y bienestar humano. Conclusión. En Costa Rica, la enfermería puede contar con un instrumento válido y confiable para medir la capacidad de agencia de autocuidado en las personas conocidas sanas que se encuentran en la etapa de la adultez.

Research approaches to mass casualty incidents response: development from routine perspectives to complexity science

Objective To review the research methods of mass casualty incident (MCI) systematically and introduce the concept and characteristics of complexity science and artificial system, computational experiments and parallel execution (ACP) method. Data sources We searched PubMed, Web of Knowledge, China Wanfang and China Biology Medicine (CBM) databases for relevant studies. Searches were performed without year or language restrictions and used the combinations of the following key words: “mass casualty incident”, “MCI”, “research method”, “complexity science”, “ACP”, “approach”, “science”, “model”, “system” and “response”. Study selection Articles were searched using the above keywords and only those involving the research methods of mass casualty incident (MCI) were enrolled. Results Research methods of MCI have increased markedly over the past few decades. For now, dominating research methods of MCI are theory-based approach, empirical approach, evidence-based science, mathematical modeling and computer simulation, simulation experiment, experimental methods, scenario approach and complexity science. Conclusions This article provides an overview of the development of research methodology for MCI. The progresses of routine research approaches and complexity science are briefly presented in this paper. Furthermore, the authors conclude that the reductionism underlying the exact science is not suitable for MCI complex systems. And the only feasible alternative is complexity science. Finally, this summary is followed by a review that ACP method combining artificial systems, computational experiments and parallel execution provides a new idea to address researches for complex MCI.

Modeling and Simulation of Space Situation Awareness System Based on Parallel Control Theory

The basic components and complex property of SSA (space situational awareness) system is introduced. It is elaborated that the reason and method of researching SSA system based on parallel control theory. Specific idea and steps of modeling and simulation are proposed through ACP method of parallel control theory, and a simple simulated instance was used as a prototype of achieving artificial system of SSA.

Research on Space System with ACP Method

The ACP (artificial societies, computational experiments, and parallel execution) method, derived from parallel systems theory, belongs to the research field of meta-synthesis. During the past 10 years after it was proposed, ACP has been applied in transportation, agriculture and economics, demonstrating its advantages. In this paper, ACP is initially proposed to apply in research of space system in the hope that an artificial system can be built for tests, thereby providing guide to construction of real space system. Specifically, modeling of special unit is conducted with the Agent-based approach; high-performance computer is provided for computational experiment; and finally the real-time data published on web is used for parallel execution.

Emergency Management of Urban Rail Transportation Based on Parallel Systems

Integrating artificial systems, computational experiments, and parallel execution (ACP) is an effective approach to modeling, simulating, and intervening real complex systems. Emergency response is an important issue in the operation of urban rail transport systems for ensuring the safety of people and property. Inspired by the ACP method, this paper introduces a basic framework of parallel control and management (PCM) for emergency response of urban rail transportation systems. The proposed framework is elaborated from three interdependent aspects: Points, Lines, and Networks. Points represent the modeling of urban rail stations, Lines describe the microscopic characteristics of urban rail connections between designated stations, and Networks present the macroscopic properties of all the urban rail connections. Based on the given framework, a series of parallel experiments, which were impossible to achieve in real systems, can now be conducted in the constructed artificial system. Furthermore, the constructed artificial system can be used to test and develop effective emergency control and management strategies for real rail transport systems. Therefore, this proposed framework will be able to enhance the reliability, security, robustness, and maneuverability of urban rail transport systems in case of an emergency.

Honouring choices Minnesota: scaling advance care planning to a diverse metropolitan population

Methods and benefits of ACP for geographic populations in the U. S. have been limited to relatively small populations such as La Crosse, WI (POP. 110,000). Beginning in 2008, the...

Cyclic Spectral Features Extracting of Complex Modulation Signal Based on ACP Method

Based on averaged cyclic periodogram cyclic spectral density estimating method(ACP), the cyclic spectral features of complex modulated signals are studied and the correspondence with signal parameters is investigated. The feature extraction methods without prior knowledge are developed. Firstly, the expression of complex modulated signals is described and the relationship between signal parameters is given; Secondly, the cyclic spectral features of signals are analyzed using ACP cyclic spectral density estimating method, the features correspondence with signal parameters is obtained; Based on the above, a method for parameter extracting based on cyclic spectral features is proposed. The normalized RMS error (NRMSE) of frank coded and Costas coded signals parameter extraction are measured to verify the validity of the method.

Multiple solutions of coupled-cluster equations for PPP model of [10]annulene

Multiple (real) solutions of the coupled-cluster (CC) equations (corresponding to the CCD, ACP and ACPQ methods) are studied for the Pariser–Parr–Pople (PPP) model of [10]annulene, C 10H 10. The long-range electrostatic interactions are represented either by the Mataga–Nishimoto potential, or Pople’s R −1 potential. The multiple solutions are obtained in a quasi-random manner, by generating a pool of starting amplitudes and applying a standard CC iterative procedure combined with Pulay’s DIIS method. Several unexpected features of these solutions are uncovered, including the switching between two CCD solutions when moving between the weakly and strongly correlated regime of the PPP model with Pople’s potential.

Electronic correlation in cyclic polyenes. Behavior of approximate coupled-pair theories for large rings

We investigate the cyclic polyenes (annulenes) C M H M , described by the Pariser–Parr–Pople (PPP) model, by means of the approximate coupled-pair theories (ACP, ACPQ). For the systems with the spectroscopic value of the PPP resonance integral β=2.5 eV , the ACP method breaks down for M⩾446 and the ACPQ method—for M⩾198. In the ACPQ method, for M⩾174, two close lying solutions have been observed that become quasi-degenerate for M⩾198. The results indicate that the ACP and ACPQ methods cannot be applied to the one-dimensional metallic case.

COMPARISON OF THREE METHODS OF DETERMINING LOWER LIMB NATURAL PENDULAR PERIOD271

Pendular exchange of potential and kinetic energy within the lower limb during the swing phase of human walking is an important determinant of the associated aerobic demand. The amount of metabolic energy saved as a result of this exchange is maximal when the limb swings at or near its natural(resonant) pendular period (NPP). Several methods have been used to determine lower limb NPP in humans. To compare these methods, we determined limb NPP in dogs using three of these techniques: Compound Pendulum [CP] (empirically determined from freely swinging dog cadaver limbs using a compound pendulum model): Adjusted Compound Pendulum [ACP] (CP adjusted by a gait-dependent multiplier); and Simple Pendulum [SP] (computed assuming all limb mass centered at the limb center-of-mass). Limb NPP from both SP (22%) and ACP(29%) methods significantly underestimate CP values, although all three methods are highly correlated (see Figure). For relative comparisons of limb NPP, any of the three methods work equally well. The CP method should be used when absolute limb NPP is appropriate.

Performance of single-reference coupled-cluster methods for quasidegenerate problems: The H4 model

Several coupled-cluster methods based on a single-determinantal reference function have been applied to the model system composed of four hydrogen atoms in a trapezoidal arrangement. For nondegenerate regions all methods with the exception of CCD provide results within 1 mhartree of the exact (FCI) value. For degenerate regions such an accuracy can be achieved with the inclusion of theT3 andT4 clusters, in an iterative and in a noniterative manner. We report results for CCSDT, CCSDTQ-1, CCSD+TQ*(CCSD), CCSD+Q(CCSDT) plus other methods. In particular, the ACP method which has been proposed to indirectly account forT4 terms is critically analyzed by including allT3 contributions.

Analytical Sensitivity and Specificity of Two Screening Methods for Urinary Porphobilinogen

The laboratory diagnosis of an acute phorphyric attack requires the detection of increased porphobilinogen (PBG) excretion in urine. Qualitative screening tests are rapid, and involve adding Ehrlich's reagent (p-dimethylaminobenzaldehyde, DMAB) directly to urine to produce a pink/red colour. Our preliminary assessment of two published screening methods showed that the interpretation of a positive colour in this test could be difficult. We have therefore assessed the screening methods described by Moore' 'and Watson and Schwartz.! Moore, acting on behalf of the Committee on Technical methods, Association of Clinical Pathologists (UK), did not reference the PBG screening method he described; it will therefore be referred to as the ACP method.