Power-constrained block-test list scheduling

A list scheduling approach is proposed in this paper to overcome the problem of unequal-length block-test scheduling under power dissipation constraints. An extended tree growing technique is also used in combination with the list scheduling algorithm in order to improve the test concurrency, having assigned power dissipation limits. Moreover, the algorithm features a power dissipation balancing provision. Test scheduling examples are discussed, highlighting further research steps towards an efficient system-level test scheduling algorith

Distribution-graph based approach and extended tree growing technique in power-constrained block-test scheduling

A distribution-graph based scheduling algorithm is proposed together with an extended tree growing technique to deal with the problem of unequal-length block-test scheduling under power dissipation constraints. The extended tree growing technique is used in combination with the classical scheduling approach in order to improve the test concurrency having assigned power dissipation limits. Its goal is to achieve a balanced test power dissipation by employing a least mean square error function. The least mean square error function is a distribution-graph based global priority function. Test scheduling examples and experiments highlight in the end the efficiency of this approach towards a system-level test scheduling algorithm

A combined tree growing technique for block-test scheduling under power constraints

A tree growing technique is used here together with classical scheduling algorithms in order to improve the test concurrency having assigned power dissipation limits. First of all, the problem of unequal-length block-test scheduling under power dissipation constraints is modeled as a tree growing problem. Then a combination of list and force-directed scheduling algorithms is adapted to tackle it. The goal of this approach is to achieve rapidly a test scheduling solution with a near-optimal test application time. This is initially achieved with the list approach. Then the power dissipation distribution of this solution is balanced by using a force-directed global priority function. The force-directed priority function is a distribution-graph based global priority function. A constant additive model is employed for power dissipation analysis and estimation. Based on test scheduling examples, the efficiency of this approach is discussed as compared to the other approaches

A comparison of classical scheduling approaches in power-constrained block-test scheduling

Classical scheduling approaches are applied here to overcome the problem of unequal-length block-test scheduling under power dissipation constraints. List scheduling-like approaches are proposed first as greedy algorithms to tackle the fore mentioned problem. Then, distribution-graph based approaches are described in order to achieve balanced test concurrency and test power dissipation. An extended tree growing technique is also used in combination with these classical approaches in order to improve the test concurrency having assigned power dissipation limits. A comparison between the results of the test scheduling experiments highlights the advantages and disadvantages of applying different classical scheduling algorithms to the power-constrained test scheduling proble

The left edge algorithm in block test scheduling under power constraints

A left-edge algorithm approach is proposed in this paper to deal with the problem of unequal-length block-test scheduling under power dissipation constraints. An extended tree growing technique is also used in combination with the left-edge algorithm in order to improve the test concurrency under power dissipation limits. Test scheduling examples and experiments are discussed highlighting further research directions toward an efficient system-level test scheduling algorith

Unpublished Mediterranean and Black Sea records of marine alien, cryptogenic, and neonative species

To enrich spatio-temporal information on the distribution of alien, cryptogenic, and neonative species in the Mediterranean and the Black Sea, a collective effort by 173 marine scientists was made to provide unpublished records and make them open access to the scientific community. Through this effort, we collected and harmonized a dataset of 12,649 records. It includes 247 taxa, of which 217 are Animalia, 25 Plantae and 5 Chromista, from 23 countries surrounding the Mediterranean and the Black Sea. Chordata was the most abundant taxonomic group, followed by Arthropoda, Mollusca, and Annelida. In terms of species records, Siganus luridus, Siganus rivulatus, Saurida lessepsianus, Pterois miles, Upeneus moluccensis, Charybdis (Archias) longicollis, and Caulerpa cylindracea were the most numerous. The temporal distribution of the records ranges from 1973 to 2022, with 44% of the records in 2020–2021. Lethrinus borbonicus is reported for the first time in the Mediterranean Sea, while Pomatoschistus quagga, Caulerpa cylindracea, Grateloupia turuturu, and Misophria pallida are first records for the Black Sea; Kapraunia schneideri is recorded for the second time in the Mediterranean and for the first time in Israel; Prionospio depauperata and Pseudonereis anomala are reported for the first time from the Sea of Marmara. Many first country records are also included, namely: Amathia verticillata (Montenegro), Ampithoe valida (Italy), Antithamnion amphigeneum (Greece), Clavelina oblonga (Tunisia and Slovenia), Dendostrea cf. folium (Syria), Epinephelus fasciatus (Tunisia), Ganonema farinosum (Montenegro), Macrorhynchia philippina (Tunisia), Marenzelleria neglecta (Romania), Paratapes textilis (Tunisia), and Botrylloides diegensis (Tunisia).peer-reviewe

Wake Management in Wind Farms: An Adaptive Control Approach

Advanced wind measuring systems like Light Detection and Ranging (LiDAR) is useful for wake management in wind farms. However, due to uncertainty in estimating the parameters involved, adaptive control of wake center is needed for a wind farm layout. LiDAR is used to track the wake center trajectory so as to perform wake control simulations, and the estimated effective wind speed is used to model wind farms in the form of transfer functions. A wake management strategy is proposed for multi-wind turbine system where the effect of upstream turbines is modeled in form of effective wind speed deficit on a downstream wind turbine. The uncertainties in the wake center model are handled by an adaptive PI controller which steers wake center to desired value. Yaw angle of upstream wind turbines is varied in order to redirect the wake and several performance parameters such as effective wind speed, velocity deficit and effective turbulence are evaluated for an effective assessment of the approach. The major contributions of this manuscript include transfer function based methodology where the wake center is estimated and controlled using LiDAR simulations at the downwind turbine and are validated for a 2-turbine and 5-turbine wind farm layouts

Silica-Modified Electrodes for Electrochemical Detection of Malachite Green

New silica-modified glassy carbon electrodes prepared with three different sorts of ordered mesoporous silica (OMS) were characterized and tested for the electrochemical detection of Malachite Green (MG). The electrodes were prepared by drop casting using silica suspensions and, for stability sake, a Nafion coating was deposited on the electrode top by the same technique. Square wave anodic stripping voltammetry was used to investigate the effect of various experimental parameters (deposition time, solution pH, silica type and concentration) on the performance of the modified electrodes. The best electrode (GC/MCM-41-NH2/Nafion) with detection limit 0.36μM, sensitivity 0.164±0.003A/M; linear domain 1-6μM was applied to detect MG in a commercial product commonly used as biocide in aquaria for ornamental fish