Journal articles: 'Optimisation SDP'

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Celeste, Alcigeimes B., and Luísa A. Ventura. "Simple simulation–optimisation vs SDP for reservoir operation." Proceedings of the Institution of Civil Engineers - Water Management 170, no. 3 (June 2017): 128–38. http://dx.doi.org/10.1680/jwama.15.00018.

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Chiu, Ching-Sheng, and Chris Rizos. "Towards a Multi Objective Path Optimisation for Car Navigation." Journal of Navigation 65, no. 1 (November 25, 2011): 125–44. http://dx.doi.org/10.1017/s0373463311000579.

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In a car navigation system the conventional information used to guide drivers in selecting their driving routes typically considers only one criterion, usually the Shortest Distance Path (SDP). However, drivers may apply multiple criteria to decide their driving routes. In this paper, possible route selection criteria together with a Multi Objective Path Optimisation (MOPO) model and algorithms for solving the MOPO problem are proposed. Three types of decision criteria were used to present the characteristics of the proposed model. They relate to the cumulative SDP, passed intersections (Least Node Path – LNP) and number of turns (Minimum Turn Path – MTP). A two-step technique which incorporates shortest path algorithms for solving the MOPO problem was tested. To demonstrate the advantage that the MOPO model provides drivers to assist in route selection, several empirical studies were conducted using two real road networks with different roadway types. With the aid of a Geographic Information System (GIS), drivers can easily and quickly obtain the optimal paths of the MOPO problem, despite the fact that these paths are highly complex and difficult to solve manually.

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Kostyukova, Olga I., and Tatiana V. Tchemisova. "Linear semidefinite programming problems: regularisation and strong dual formulations." Journal of the Belarusian State University. Mathematics and Informatics, no. 3 (December 8, 2020): 17–27. http://dx.doi.org/10.33581/2520-6508-2020-3-17-27.

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Regularisation consists in reducing a given optimisation problem to an equivalent form where certain regularity conditions, which guarantee the strong duality, are fulfilled. In this paper, for linear problems of semidefinite programming (SDP), we propose a regularisation procedure which is based on the concept of an immobile index set and its properties. This procedure is described in the form of a finite algorithm which converts any linear semidefinite problem to a form that satisfies the Slater condition. Using the properties of the immobile indices and the described regularization procedure, we obtained new dual SDP problems in implicit and explicit forms. It is proven that for the constructed dual problems and the original problem the strong duality property holds true.

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Azam, Khalide, Nureisha Cadir, Carla Madeira, Stephen H. Gillespie, and Wilber Sabiiti. "OMNIgene.SPUTUM suppresses contaminants while maintainingMycobacterium tuberculosisviability and obviates cold-chain transport." ERJ Open Research 4, no. 1 (January 2018): 00074–2017. http://dx.doi.org/10.1183/23120541.00074-2017.

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Tuberculosis (TB) diagnostics are centralised, requiring long-distance transportation of specimens in most resource-limited settings. We evaluated the ability of OMNIgene.SPUTUM (OM-S) to obviate cold-chain transport of TB specimens.A two-arm (same-day and after 5 days sample processing) study was conducted to assess contamination rates andMycobacterium tuberculosisviability in OM-S-treated samples against the standard decontamination procedure (SDP) in Mozambique, using Lowenstein Jensen (LJ) and mycobacterial growth indicator tube (MGIT) culture and molecular bacterial load assay.270 specimens were processed using OM-S and SDP in same-day and 5-day arms. Contamination was lower in OM-S-treated than SDP-treated cultures: 12%versus15% and 2%versus27% in the same-day and 5-day arms, respectively.M. tuberculosisrecovery in OM-S-treated LJ cultures was 10% and 56% higher in the same-day and 5-day arms, respectively, than SDP-treated cultures, but lower in MGIT (52% and 28% lower in the same-day and 5-day arms, respectively).M. tuberculosisviable count was 1log estimated CFU·mL−1lower in 5-day OM-S-treated sputa. OM-S was more effective at liquefying sputum with a shorter sample processing time: 22 min for culture.OM-S is simple to use and has demonstrated a high potency to suppress contaminants, maintenance of viability at ambient temperatures and higherM. tuberculosisrecovery, particularly in the solid LJ cultures. Optimisation of OM-S to achieve higher MGIT culture positivity and shorter time to result will increase its application and utility in the clinical management of TB.

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Lim, Y. W., H. A. Majid, A. A. Samah, M. H. Ahmad, D. R. Ossen, M. F. Harun, and F. Shahsavari. "BIM and genetic algorithm optimisation for sustainable building envelope design." International Journal of Sustainable Development and Planning 13, no. 01 (January 1, 2018): 151–59. http://dx.doi.org/10.2495/sdp-v13-n1-151-159.

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A. J., Anju, and J. E. Judith. "Optimized Deeplearning Algorithm for Software Defects Prediction." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9s (August 31, 2023): 173–88. http://dx.doi.org/10.17762/ijritcc.v11i9s.7409.

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Accurate software defect prediction (SDP) helps to enhance the quality of the software by identifying potential flaws early in the development process. However, existing approaches face challenges in achieving reliable predictions. To address this, a novel approach is proposed that combines a two-tier-deep learning framework. The proposed work includes four major phases:(a) pre-processing, (b) Dimensionality reduction, (c) Feature Extraction and (d) Two-fold deep learning-based SDP. The collected raw data is initially pre-processed using a data cleaning approach (handling null values and missing data) and a Decimal scaling normalisation approach. The dimensions of the pre-processed data are reduced using the newly developed Incremental Covariance Principal Component Analysis (ICPCA), and this approach aids in solving the “curse of dimensionality” issue. Then, onto the dimensionally reduced data, the feature extraction is performed using statistical features (standard deviation, skewness, variance, and kurtosis), Mutual information (MI), and Conditional entropy (CE). From the extracted features, the relevant ones are selected using the new Euclidean Distance with Mean Absolute Deviation (ED-MAD). Finally, the SDP (decision making) is carried out using the optimized Two-Fold Deep Learning Framework (O-TFDLF), which encapsulates the RBFN and optimized MLP, respectively. The weight of MLP is fine-tuned using the new Levy Flight Cat Mouse Optimisation (LCMO) method to improve the model's prediction accuracy. The final detected outcome (forecasting the presence/ absence of defect) is acquired from optimized MLP. The implementation has been performed using the MATLAB software. By using certain performance metrics such as Sensitivity, Accuracy, Precision, Specificity and MSE the proposed model’s performance is compared to that of existing models. The accuracy achieved for the proposed model is 93.37%.

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Allacker, K., and F. de Troyer. "Optimisation of the environmental and financial cost of two dwellings in belgium." International Journal of Sustainable Development and Planning 7, no. 2 (June 29, 2012): 186–208. http://dx.doi.org/10.2495/sdp-v7-n2-186-208.

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Li, Jiangfeng, Lina Stankovic, Vladimir Stankovic, Stella Pytharouli, Cheng Yang, and Qingjiang Shi. "Graph-Based Feature Weight Optimisation and Classification of Continuous Seismic Sensor Array Recordings." Sensors 23, no. 1 (December 26, 2022): 243. http://dx.doi.org/10.3390/s23010243.

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Slope instabilities caused by heavy rainfall, man-made activity or earthquakes can be characterised by seismic events. To minimise mortality and infrastructure damage, a good understanding of seismic signal properties characterising slope failures is therefore crucial to classify seismic events recorded from continuous recordings effectively. However, there are limited contributions towards understanding the importance of feature selection for the classification of seismic signals from continuous noisy recordings from multiple channels/sensors. This paper first proposes a novel multi-channel event-detection scheme based on Neyman–Pearson lemma and Multi-channel Coherency Migration (MCM) on the stacked signal across multi-channels. Furthermore, this paper adapts graph-based feature weight optimisation as feature selection, exploiting the signal’s physical characteristics, to improve signal classification. Specifically, we alternatively optimise the feature weight and classification label with graph smoothness and semidefinite programming (SDP). Experimental results show that with expert interpretation, compared with the conventional short-time average/long-time average (STA/LTA) detection approach, our detection method identified 614 more seismic events in five days. Furthermore, feature selection, especially via graph-based feature weight optimisation, provides more focused feature sets with less than half of the original number of features, at the same time enhancing the classification performance; for example, with feature selection, the Graph Laplacian Regularisation classifier (GLR) raised the rockfall and slide quake sensitivities to 92% and 88% from 89% and 85%, respectively.

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Fletcher, Tom, and Kambiz Ebrahimi. "The Effect of Fuel Cell and Battery Size on Efficiency and Cell Lifetime for an L7e Fuel Cell Hybrid Vehicle." Energies 13, no. 22 (November 11, 2020): 5889. http://dx.doi.org/10.3390/en13225889.

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The size of the fuel cell and battery of a Fuel Cell Hybrid Electric Vehicle (FCHEV) will heavily affect the overall performance of the vehicle, its fuel economy, driveability, and the rates of fuel cell degradation observed. An undersized fuel cell may experience accelerated ageing of the fuel cell membrane and catalyst due to excessive heat and transient loading. This work describes a multi-objective design exploration exercise of fuel cell size and battery capacity comparing hydrogen fuel consumption, fuel cell lifetime, vehicle mass and running cost. For each system design considered, an individually optimised Energy Management Strategy (EMS) has been generated using Stochastic Dynamic Programming (SDP) in order to prevent bias to the results due to the control strategy. It has been found that the objectives of fuel efficiency, lifetime and running cost are largely complimentary, but degradation and running costs are much more sensitive to design changes than fuel efficiency and therefore should be included in any optimisation. Additionally, due to the expense of the fuel cell, combined with the dominating effect of start/stop cycling degradation, the optimal design from an overall running cost perspective is slightly downsized from one which is optimised purely for high efficiency.

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Ovesná, J., K. Poláková, L. Kučera, and J. Rulcová. "SNP Typing in Cereals: Comparison of SSCP and SNaPShot Markers Using the Barley Mlo Locus as a Model." Czech Journal of Genetics and Plant Breeding 39, No. 4 (November 23, 2011): 109–12. http://dx.doi.org/10.17221/3727-cjgpb.

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We compared the applicability of SSCP and SNaPShot markers in barley Mlo loci as a model of SNP detection in cereals. Whereas the development of SSCP markers required optimisation steps, the ddNTP primer extension (SNaPShot) procedure based on knowledge of target sequence provided expected results without any previous optimisations. We have shown, that SNPs can be easily scored using the ABI PRISM 310 Genetic Analyser.  

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Radam, Neamah Sattar, Sufyan Al-Janabi, and Khalid Shaker. "Optimisation Methods for the Controller Placement Problem in SDN: A Survey." Webology 19, no. 1 (January 20, 2022): 3130–49. http://dx.doi.org/10.14704/web/v19i1/web19207.

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Software-defined networking (SDN) has emerged in response to increasing requirements for new networks and expansion of Internet coverage. Modern needs exceed the limitations of traditional networks, for which, to simplify management, SDN is proposed as a promising paradigm that separates the control and data planes, allowing for the programming of network configuration. SDN deployment and applications are directly affected by the controller position. Single or multiple controllers are used in SDN architecture to enable programmable, flexible, and scalable configurations. Multiple controllers are essential in the current SDN, and various solutions have been recently developed to improve scalability and placement selection. In this study, the Controller Placement Problem (CPP) is explored using objective optimisation with proposed algorithms. An overview of SDN issues and the controller role is provided through its three-plane architecture with a focus on scalability and reliability. In addition, a comprehensive problem review is discussed on the basis of a well-known compendium of available solutions. Finally, relevant open problems and future research challenges are identified.

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Maciejewski, Igor. "A Method for Shaping the Dynamic Characteristics of Vibration Isolation Systems." Solid State Phenomena 198 (March 2013): 615–20. http://dx.doi.org/10.4028/www.scientific.net/ssp.198.615.

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In this paper a method for shaping the dynamic characteristics of vibration isolation systems is presented. The multi-criteria optimisation procedure is utilized in order to find the Pareto-optimal system configuration with simultaneous minimization of conflicted optimisation criteria: the isolated body acceleration and suspension travel. As an example of the proposed method, the seat with a pneuma-hydraulic suspension is investigated and its vibro-isolation properties are shaped by an appropriate selection of the system characteristics. The basic findings of the paper consist in the optimisation procedure that takes into account the nonlinear dynamic behaviour of vibration isolation systems.

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O'Neill, Cameron M., Andrew McC Hogg, Michael J. Ellwood, Stephen M. Eggins, and Bradley N. Opdyke. "The [simple carbon project] model v1.0." Geoscientific Model Development 12, no. 4 (April 18, 2019): 1541–72. http://dx.doi.org/10.5194/gmd-12-1541-2019.

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Abstract. We construct a carbon cycle box model to process observed or inferred geochemical evidence from modern and paleo settings. The [simple carbon project] model v1.0 (SCP-M) combines a modern understanding of the ocean circulation regime with the Earth's carbon cycle. SCP-M estimates the concentrations of a range of elements within the carbon cycle by simulating ocean circulation, biological, chemical, atmospheric and terrestrial carbon cycle processes. The model is capable of reproducing both paleo and modern observations and aligns with CMIP5 model projections. SCP-M's fast run time, simplified layout and matrix structure render it a flexible and easy-to-use tool for paleo and modern carbon cycle simulations. The ease of data integration also enables model–data optimisations. Limitations of the model include the prescription of many fluxes and an ocean-basin-averaged topology, which may not be applicable to more detailed simulations. In this paper we demonstrate SCP-M's application primarily with an analysis of the carbon cycle transition from the Last Glacial Maximum (LGM) to the Holocene and also with the modern carbon cycle under the influence of anthropogenic CO2 emissions. We conduct an atmospheric and ocean multi-proxy model–data parameter optimisation for the LGM and late Holocene periods using the growing pool of published paleo atmosphere and ocean data for CO2, δ13C, Δ14C and the carbonate ion proxy. The results provide strong evidence for an ocean-wide physical mechanism to deliver the LGM-to-Holocene carbon cycle transition. Alongside ancillary changes in ocean temperature, volume, salinity, sea-ice cover and atmospheric radiocarbon production rate, changes in global overturning circulation and, to a lesser extent, Atlantic meridional overturning circulation can drive the observed LGM and late Holocene signals in atmospheric CO2, δ13C, Δ14C, and the oceanic distribution of δ13C, Δ14C and the carbonate ion proxy. Further work is needed on the analysis and processing of ocean proxy data to improve confidence in these modelling results.

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Gimbun, Jolius, Nor Shahirah Mohd Nasir, Sumaiya Zainal Abidin, Chin Kui Cheng, and Maizirwan Mel. "Optimisation of Bioethanol Production from Oil Palm Trunk Sap." E3S Web of Conferences 422 (2023): 01004. http://dx.doi.org/10.1051/e3sconf/202342201004.

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This paper presents an optimization of bioethanol production from oil palm trunk sap (OPTS) fermentation. The OPTS was obtained from an old palm tree (30 years old), whereas ethanol fermentation was carried out using Saccharomyces cerevisiae. The sugar content in OPTS and fermentation mother liquor was determined using high-performance liquid chromatography (HPLC). The parameters such as initial pH, temperature, and agitation rate were optimised using response surface methodology (RSM) with rotatable central composite design (CCD). It was found that the highest yield of bioethanol (75.82%) was obtained at the initial pH (5.79), temperature (31.05 ºC), and agitation rate (164.38 rpm). The optimization model of OPTS fermentation to bioethanol developed in this work may provide useful guidance to obtain a high ethanol yield from OPTS.

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Robinson, Michael G., Graham J. Woodgate, Jonathan Harrold, Benjamin Ihas, and Robert Ramsey. "P-102: Switchable Privacy Display Design and Optimisation." SID Symposium Digest of Technical Papers 49, no. 1 (May 2018): 1567–70. http://dx.doi.org/10.1002/sdtp.12286.

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Wolstenholme, E. F., and Abdul-Sattar Al-Alusi. "System dynamics and heuristic optimisation in defence analysis." System Dynamics Review 3, no. 2 (1987): 102–15. http://dx.doi.org/10.1002/sdr.4260030203.

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Bau, Hwei-Ming, Christian Villaume, and Francesco Giannangeli. "Optimisation des qualités des protéines de soja." Sciences des Aliments 21, no. 2 (April 28, 2001): 133–47. http://dx.doi.org/10.3166/sda.21.133-147.

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Dambrauskas, Algirdas, and Dainius Udris. "Statistical Characteristics of a Simplex Search with the Aim Drift." Solid State Phenomena 113 (June 2006): 147–50. http://dx.doi.org/10.4028/www.scientific.net/ssp.113.147.

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The purpose of this research is to find and analyze statistical characteristics of a simplex search in a noisy surrounding and drifting aim conditions. The search process is described by using multiple Markov chains. Efficient simplex search algorithms for nonstationary object optimisation can be created on this investigation basis.

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Sztekler, Karol. "Optimisation of Operation of Adsorption Chiller with Desalination Function." Energies 14, no. 9 (May 6, 2021): 2668. http://dx.doi.org/10.3390/en14092668.

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The demand for electricity is growing rapidly along with economic development and increasing population. At present, its production is mainly based on non-renewable sources, which has negative impacts on the environment and contributes to global warming. A large proportion of the produced electricity is consumed by refrigeration equipment. Climate change and the progress of civilisation are additionally increasing the demand for cooling, with increasing electricity consumption as a consequence. One of the options for obtaining eco-friendly cooling is the use of adsorption chillers. These devices are powered by low-temperature heat and their operation only requires a small amount of electrical energy. The source of low-temperature heat can be, e.g., waste heat generated in many industrial processes. Its use allows one to increase energy efficiency and achieve additional financial benefits. However, adsorption chillers are characterised by low coefficients of performance. This paper presents possibilities to improve their performance. It also presents the results of tests carried out on a three-bed adsorption chiller with desalination function. The aim of the investigation was to determine the effect of the cycle time on the coefficient of performance (COP) and specific cooling power (SCP). The working pair was silica gel and water. The results confirmed the effect of the duration of adsorption and desorption on the COP and SCP of the adsorption chiller. Increasing the duration of the cycle led to an increase in the COP.

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Bajya, Mukesh, Abhijit Majumdar, Bhupendra S. Butola, Unsanhame Mawkhlieng, and Debarati Bhattacharjee. "Parametric optimisation of shear thickening fluid treatment for ultra-high molecular weight polyethylene woven fabric." Journal of Industrial Textiles 52 (August 2022): 152808372211267. http://dx.doi.org/10.1177/15280837221126740.

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The shear thickening fluid (STF) treatment enhances the low and high velocity impact resistance performances of para-aramid woven fabrics for soft armour application. This research investigates the effects of important parameters on the STF add on and impact energy absorption with the aim to develop a hybrid soft armour. The STF add-on on ultra-high molecular weight polyethylene (UHMWPE) woven fabrics was varied by altering the silica particle size, dilution ratio of STF and padding pressure. The results of the full factorial design of experiment showed that the energy absorption is independent of the add-on. Further, a soft armour panel (SAP) was made from the STF treated woven fabric. The ballistic performance of the panel was evaluated in terms of back face signature (BFS) against a 9 × 19 mm lead core bullet and was compared to that of a weight equivalent untreated panel. A hybrid SAP with unidirectional (UD) laminates of UHMWPE as strike face layers and STF treated woven fabrics as backing layers was prepared, and the BFS was found to be equivalent to that of a SAP containing 100% UD laminates (∼30 mm). The results imply that a certain number of UD laminate layers can be replaced with STF treated flexible woven fabrics without compromising on the ballistic performance of SAP.

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Ali, Muhammed S. A., A. Muchtar, J. C. W. Mah, J. Raharjo, and D. S. Khaerudini. "Effect of open pore and pore interconnectivity in the Ni-SDC cermet anode microstructure on the performance of solid oxide fuel cells." IOP Conference Series: Materials Science and Engineering 1195, no. 1 (October 1, 2021): 012042. http://dx.doi.org/10.1088/1757-899x/1195/1/012042.

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Abstract In nickel-samarium-doped ceria (Ni-SDC) cermet anode layers, the open pores and interconnected pores in the microstructure are the main factors that affect the mechanical and electrical properties. In this work, porous Ni-SDC cermet anode layers are fabricated using various quantities of potato starch (0 to 25 wt.%) as a pore forming in the anode powders. The properties of the Ni-SDC cermet anode layers were characterised by FESEM-BSE microscopy, Archimedes method for density measurement, Vickers hardness, flexural strength, and DC four-point electrical conductivity. The findings revealed that the different content of potato starch greatly affected the percentage of porosity and pore interconnectivity in the microstructure and consequently altered the mechanical and electrical properties of the Ni-SDC cermet anode. The degree of shrinkage, relative density, mechanical strength and electrical conductivity of the Ni-SDC cermet anodes decreased as their pore former content increased. Furthermore, the research shows that the large porosity (> 40%) in the Ni-SDC cermet anode microstructure affected the continuity of Ni-Ni, SDC and Ni-SDC phases and thereby affected the mechanical and electrical properties. The Ni-SDC cermet anode with 10 wt.% exhibited sufficient porosity, Vickers hardness, flexural strength and electrical conductivity of 34%, 48 MPa, 72 MPa and 2028 S/cm (at 800 °C), respectively. Therefore, optimisation of porosity in the Ni-SDC cermet anode microstructure strongly contributes to the well-connected pore channels for the rapid diffusion of hydrogen for oxidation and mechanical strength.

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Reul, Bénédicte. "Consultation préconceptionnelle et optimisation de la fécondité masculine et féminine." Sciences des Aliments 22, no. 6 (December 28, 2002): 685–97. http://dx.doi.org/10.3166/sda.22.685-697.

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Elidrisy, Ahmed. "Leveraging Cloud Services & Digital Transformation for Sustainability: Insights from Cases of Qatar." Journal of Innovative Research 2, no. 1 (January 18, 2024): 20–28. http://dx.doi.org/10.54536/jir.v2i1.2398.

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The current research aimed to present an in-depth analysis of how Qatar Free Zone (QFZ), Qatar Smart Program (TASMU), Qatar National Broadband Network (Qnbn), and Msheireb Downtown Doha are Leveraging Cloud Services and digital transformation for sustainability under Qatar National Vision 2030 (QNV2030). The researcher used a qualitative case study research approach to analyse the aim gathering data using semi-structured interviews from 21 sustainability experts, government officials, and IT professionals. The findings highlighted that QFZ and Qnbn projects of Qatar meet the principles of SDG 8: Decent Work and Economic Growth. Results showed that Qnbn offers multiple benefits for the economic development of multiple sectors. All four cases align with two SDGs, including SDG 9: Industry, Innovation, and Infrastructure and SDG 11: Sustainable Cities and Communities, to meet the requirements of the QNV2030 and sustainability for building Smart Qatar. Also, these projects like Msheireb Downtown Doha and QFZ in Qatar are founded on four key pillars, including social, human, economic and environmental developments meeting QNV2030 objectives. Cloud services also offer climate-related innovations facilitating environmental monitoring, resource optimisation, etc., in QFZ and Google Cloud partnership aligned with SDG 13: Climate Action.

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Šedivý, Josef, and Jiří Čejka. "Optimisation of Distribution Routes for Branch Office of Česká pošta, s.p. (Czech Post)." Transportation Research Procedia 53 (2021): 252–57. http://dx.doi.org/10.1016/j.trpro.2021.02.032.

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Reymondon, Francis, Eric Marcon, and Bertrand Pellet. "Optimisation des stocks de dispositifs médicaux réutilisables par la différenciation retardée." Santé Décision Management 12, no. 1-4 (December 30, 2009): 203–21. http://dx.doi.org/10.3166/sdm.12.203-221.

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Asad, Syed Muhammad, Jawad Ahmad, Sajjad Hussain, Ahmed Zoha, Qammer Hussain Abbasi, and Muhammad Ali Imran. "Mobility Prediction-Based Optimisation and Encryption of Passenger Traffic-Flows Using Machine Learning." Sensors 20, no. 9 (May 5, 2020): 2629. http://dx.doi.org/10.3390/s20092629.

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Information and Communication Technology (ICT) enabled optimisation of train’s passenger traffic flows is a key consideration of transportation under Smart City planning (SCP). Traditional mobility prediction based optimisation and encryption approaches are reactive in nature; however, Artificial Intelligence (AI) driven proactive solutions are required for near real-time optimisation. Leveraging the historical passenger data recorded via Radio Frequency Identification (RFID) sensors installed at the train stations, mobility prediction models can be developed to support and improve the railway operational performance vis-a-vis 5G and beyond. In this paper we have analysed the passenger traffic flows based on an Access, Egress and Interchange (AEI) framework to support train infrastructure against congestion, accidents, overloading carriages and maintenance. This paper predominantly focuses on developing passenger flow predictions using Machine Learning (ML) along with a novel encryption model that is capable of handling the heavy passenger traffic flow in real-time. We have compared and reported the performance of various ML driven flow prediction models using real-world passenger flow data obtained from London Underground and Overground (LUO). Extensive spatio-temporal simulations leveraging realistic mobility prediction models show that an AEI framework can achieve 91.17% prediction accuracy along with secure and light-weight encryption capabilities. Security parameters such as correlation coefficient (<0.01), entropy (>7.70), number of pixel change rate (>99%), unified average change intensity (>33), contrast (>10), homogeneity (<0.3) and energy (<0.01) prove the efficacy of the proposed encryption scheme.

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Gaizauskaite, Zydrune, Renata Zvirdauskiene, Mantas Svazas, Loreta Basinskiene, and Daiva Zadeike. "Optimised Degradation of Lignocelluloses by Edible Filamentous Fungi for the Efficient Biorefinery of Sugar Beet Pulp." Polymers 16, no. 9 (April 23, 2024): 1178. http://dx.doi.org/10.3390/polym16091178.

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The degradation of the complex structure of lignocellulosic biomass is important for its further biorefinery to value-added bioproducts. The use of effective fungal species for the optimised degradation of biomass can promote the effectiveness of the biorefinery of such raw material. In this study, the optimisation of processing parameters (temperature, time, and s/w ratio) for cellulase activity and reducing sugar (RS) production through the hydrolysis of sugar beet pulp (SBP) by edible filamentous fungi of Aspergillus, Fusarium, Botrytis, Penicillium, Rhizopus, and Verticillium spp. was performed. The production of RS was analysed at various solid/water (s/w) ratios (1:10–1:20), different incubation temperatures (20–35 °C), and processing times (60–168 h). The Aspergillus niger CCF 3264 and Penicillium oxalicum CCF 3438 strains showed the most effective carboxymethyl cellulose (CMC) degrading activity and also sugar recovery (15.9–44.8%) from SBP biomass in the one-factor experiments. Mathematical data evaluation indicated that the highest RS concentration (39.15 g/100 g d.w.) and cellulolytic activity (6.67 U/g d.w.) could be achieved using A. niger CCF 3264 for the degradation of SBP at 26 °C temperature with 136 h of processing time and a 1:15 solid/water ratio. This study demonstrates the potential of fungal degradation to be used for SBP biorefining.

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Li, Zhao Qian, Jie Wang, Teng Feng He, Jun Peng Liu, Dong Dong Hao, and Xiang Hui Hou. "Insights into the Self-Optimized Hydrophobicity of Cerium Oxide Surface under Impact Abrasive Wear." Solid State Phenomena 315 (March 2021): 109–13. http://dx.doi.org/10.4028/www.scientific.net/ssp.315.109.

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Cerium oxide (CeO2) is one of potential candidates of hydrophobic coatings servicing in harsh environments. In this letter, abraded CeO2 surface was prepared using sandblasting treatment to investigate the wetting mechanism under the condition of impact abrasive wear. The water contact angle (WCA) of the abraded surface increased from 62.8° to 93.7° after aging in ambient air for about 700 h. The hydrophobic self-optimisation mechanism of the abraded CeO2 surface is due to the hierarchical structure formed during impact abrasive wear and the surface adsorption of airborne hydrocarbon, resulting the wetting state changed from “Wenzel state” to “Cassie-Baxter State”.

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Muntean, Roxana, Ulrich Rost, Gabriela Marginean, and Nicolae Vaszilcsin. "Optimisation of the Electrodeposition Parameters for Platinum Nanoparticles on Carbon Nanofibers Support." Solid State Phenomena 254 (August 2016): 153–58. http://dx.doi.org/10.4028/www.scientific.net/ssp.254.153.

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Platinum nanoparticles electrodeposition on carbon nanofibers (CNF) support has been performed with the purpose to obtain electrodes that can be further used especially in a polymer electrolyte membrane fuel cell (PEMFC). A pretreatment of CNF is required in order to enhance the surface energy, which simultaneously improves handling and wettability as well as interaction with the platinum cations. This step was performed using oxygen plasma functionalization. To produce CNF supported Pt catalysts, an electrochemical method was applied and the deposition parameters were adjusted to obtain nanosized platinum particles with a good distribution onto the graphitic surface. The morphology and structure of the obtained particles were investigated by scanning electron microscopy combined with energy dispersive X-Ray spectroscopy. The amount of deposited platinum was established using thermogravimetrical measurements. Cyclic voltammetry performed in 0.5 M H2SO4 solution was applied for determining the electrochemical surface area (ECSA) of the obtained electrodes.The functionalization degree of the CNF outer surface has a strong influence on the structure, distribution and amount of platinum particles. Moreover, the current densities, which were set for the deposition process influenced not only the particles size but also the platinum amount. Applying an oxygen plasma treatment of 80 W for 1800 s, the necessary degree of surface functionalization is achieved in order to deposit the catalyst particles. The best electrodes were prepared using a current density of 50 mA cm-2 during the deposition process that leads to a homogenous platinum distribution with particles size under 80 nm and ECSA over 6 cm2.

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Lynch, A., L. Quinn, R. Briggs, T. Tan, O. Thorpe, R. Romero-Ortuno, T. Byrne, C. Cunningham, and A. Lavin. "163 EVALUATING THE ROLE OF THE GERIATRIC DAY HOSPITAL IN MEDICATION OPTIMISATION." Age and Ageing 50, Supplement_3 (November 2021): ii9—ii41. http://dx.doi.org/10.1093/ageing/afab219.163.

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Abstract Background The geriatric day hospital (GDH) provides outpatient geriatric medical, nursing and rehabilitation care to older adults. The aim of this study was to assess whether medication optimisation occurs in this setting. We believe the GDH would be an ideal location for mediation optimisation due to the stable community dwelling patients and close follow up by specialised physicians. Methods Electronic patient records of the new patients ≥65 years seen in the GDH over a 3-month period were reviewed. Potentially inappropriate prescriptions (PIPs) and potentially prescribing omissions (PPOs) were identified using the STOPP/START prescribing tool on admission to the GDH and again at discharge from the GDH. Results One-hundred and sixty-seven patient records were reviewed; mean age 80.8 (SD6.5) years, 62.9% female, median clinical frailty scale score 6 (IQR5–6), mean number of conditions 5.79 (SD3), mean number of medications 7.57 (SD3.7). Patients had a median of 4 (IQR2–7) consultations. The number of patients prescribed at least 1 STOPP-PIP reduced by 10% (42.4% vs 38%; p < 0.001). Vasodilator drugs in patients with orthostatic hypotension were deprescribed most frequently (6.5% vs 3%; p < 0.001). PPOs were reduced by 36% (47.5% vs 30.6%;p < 0.001). The largest improvement was identified in the prescription of vitamin D in patients experiencing falls (17.4% vs 13.8%;p < 0.001). Logistic regression was performed to ascertain the influence of age, gender, falls, dementia, co-morbidity number and medication number on the likelihood of a patient experiencing a PIP or PPO. For every medication prescribed, the odds of experiencing a PIP increased by 11.8% (OR1.187, 95%CI 1.052–1.339). Being female increased the odds of experiencing a PPO by 21.7% (OR2.17, 95%CI 10.53–4.468). Conclusion Medication optimisation is key in avoiding side effects from potentially inappropriate medications. The frequency of patient attendances coupled with geriatricians’ expertise makes the GDH an ideal setting for medication optimisation in multi-morbid frail community-dwelling older adults.

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Wu, Xinzhao, Peiqing Li, Qipeng Li, and Zhuoran Li. "Two-dimensional-simultaneous Localisation and Mapping Study Based on Factor Graph Elimination Optimisation." Sustainability 15, no. 2 (January 8, 2023): 1172. http://dx.doi.org/10.3390/su15021172.

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A robust multi-sensor fusion simultaneous localization and mapping (SLAM) algorithm for complex road surfaces is proposed to improve recognition accuracy and reduce system memory occupation, aiming to enhance the computational efficiency of light detection and ranging in complex environments. First, a weighted signed distance function (W-SDF) map-based SLAM method is proposed. It uses a W-SDF map to capture the environment with less accuracy than the raster size but with high localization accuracy. The Levenberg–Marquardt method is used to solve the scan-matching problem in laser SLAM; it effectively alleviates the limitations of the Gaussian–Newton method that may lead to insufficient local accuracy, and reduces localisation errors. Second, ground constraint factors are added to the factor graph, and a multi-sensor fusion localisation algorithm is proposed based on factor graph elimination optimisation. A sliding window is added to the chain factor graph model to retain the historical state information within the window and avoid high-dimensional matrix operations. An elimination algorithm is introduced to transform the factor graph into a Bayesian network to marginalize the historical states and reduce the matrix dimensionality, thereby improving the algorithm localisation accuracy and reducing the memory occupation. Finally, the proposed algorithm is compared and validated with two traditional algorithms based on an unmanned cart. Experiments show that the proposed algorithm reduces memory consumption and improves localisation accuracy compared to the Hector algorithm and Cartographer algorithm, has good performance in terms of accuracy, reliability and computational efficiency in complex pavement environments, and is better utilised in practical environments.

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Bories, André, El Hassane Himmi, Jesus JA Jauregui, Carlos Pelayo-Ortiz, and Victor A. Gonzales. "Fermentation du glycérol chez des Propionibactéries et optimisation de la production d'acide propionique." Sciences des Aliments 24, no. 2 (April 28, 2004): 121–36. http://dx.doi.org/10.3166/sda.24.121-136.

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Kausinis, Saulius, Albinas Kasparaitis, A. Barakauskas, Rimantas Barauskas, Aurimas Jakstas, and Artūras Kilikevičius. "Line Scale Calibration in Non-Ideal Measurement Situation." Solid State Phenomena 147-149 (January 2009): 682–85. http://dx.doi.org/10.4028/www.scientific.net/ssp.147-149.682.

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The precision line scale calibration in dynamical mode of operation is considered. A new interferometer-controlled comparator with moving microscope has been developed and optimised in order to reduce both the measurement uncertainty and calibration process duration. Modal analysis performed and measurements conducted of the spatial vibrations of comparator structure revealed that dynamically-induced errors can noticeably contribute to the measurement uncertainty budget. They can be prominently reduced, in particular, by proper improvement and optimisation of the carriage structure and elimination of the dry friction in the carriage drive.

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Siqueira, J. M., and M. I. Ferreira. "Optimisation of CAG technique: An algorithm to estimate low and reverse sap flow in roots." Agricultural and Forest Meteorology 294 (November 2020): 108129. http://dx.doi.org/10.1016/j.agrformet.2020.108129.

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Catalano, Giuseppe Antonio, Federico Maci, Provvidenza Rita D’Urso, and Claudia Arcidiacono. "GIS and SDM-Based Methodology for Resource Optimisation: Feasibility Study for Citrus in Mediterranean Area." Agronomy 13, no. 2 (February 14, 2023): 549. http://dx.doi.org/10.3390/agronomy13020549.

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South Italy is characterised by a semi-arid climate with scarce rain and high evaporative demand. Since climate change could worsen this condition, the need to optimise water resources in this area is crucial. In citrus cultivation, which involves one of the most important crops bred in Southern Italy, and more generally in Mediterranean regions, deficit irrigation strategies are implemented in order to cope with limited resource availability. On this basis, knowledge on how the territorial distribution of citrus would change in relation to these strategies represents valuable information for stakeholders. Therefore, the objective of this study was to determine the probability of the presence of citrus in Sicily based on changes in the percentage of water deficit in order to identify and analyse change in the surface area as well as the location of the crop. The methodology was based on the application of species distribution models (SDM) and Geographic Information Systems (GIS) to the case study of the province of Syracuse in Sicily. Different geostatistical and machine learning models were applied based on bioclimatic variables measured over three decades, a Digital Terrain Model and irrigation. Assessment of the outcomes was carried out using classification evaluation metrics. The analysis of the outcomes showed that uncorrelated predictor layers mainly included water input that most affected the probability of the presence of citrus fruits. Moreover, GIS analyses showed that deficit irrigation strategies would generate an overall reduction of cultivation surfaces in the territory (e.g., for the Random Forest model the surface reduction was equal to 41.15%) and a decrease of citrus presence in southern areas of the considered territory. In this area, climate conditions are less favourable in terms of temperature and precipitation; thus, these analyses provide useful information for decision support tools in agriculture and land use policy.

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Broom, Jennifer, Alex Broom, Chris Anstey, Katherine Kenny, Sharon Young, David Grieve, David Sowden, et al. "Barriers-enablers-ownership approach: a mixed methods analysis of a social intervention to improve surgical antibiotic prescribing in hospitals." BMJ Open 11, no. 5 (May 2021): e046685. http://dx.doi.org/10.1136/bmjopen-2020-046685.

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ObjectivesTo assess an intervention for surgical antibiotic prophylaxis (SAP) improvement within surgical teams focused on addressing barriers and fostering enablers and ownership of guideline compliance.DesignThe Queensland Surgical Antibiotic Prophylaxis (QSAP) study was a multicentre, mixed methods study designed to address barriers and enablers to SAP compliance and facilitate engagement in self-directed audit/feedback and assess the efficacy of the intervention in improving compliance with SAP guidelines. The implementation was assessed using a 24-month interrupted time series design coupled with a qualitative evaluation.SettingThe study was undertaken at three hospitals (one regional, two metropolitan) in Australia.ParticipantsSAP-prescribing decisions for 1757 patients undergoing general surgical procedures from three health services were included. Six bimonthly time points, pre-implementation and post implementation of the intervention, were measured. Qualitative interviews were performed with 29 clinical team members. SAP improvements varied across site and time periods.InterventionQSAP embedded ownership of quality improvement in SAP within surgical teams and used known social influences to address barriers to and enablers of optimal SAP prescribing.ResultsThe site that reported senior surgeon engagement showed steady and consistent improvement in prescribing over 24 months (prestudy and poststudy). Multiple factors, including resource issues, influenced engagement and sites/time points where these were present had no improvement in guideline compliance.ConclusionsThe barriers-enablers-ownership model shows promise in its ability to facilitate prescribing improvements and could be expanded into other areas of antimicrobial stewardship. Senior ownership was a predictor of success (or failure) of the intervention across sites and time periods. The key role of senior leaders in change leadership indicates the critical need to engage other specialties in the stewardship agenda. The influence of contextual factors in limiting engagement clearly identifies issues of resource distributions/inequalities within health systems as limiting antimicrobial optimisation potential.

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Siemiatkowski, Mieczyslaw. "Application of Syntactic Pattern Recognition Approach in Design and Optimisation of Group Machining Systems." Solid State Phenomena 165 (June 2010): 342–47. http://dx.doi.org/10.4028/www.scientific.net/ssp.165.342.

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The focus of this paper is on planning applications of group technology (GT) and the design of related layouts for multi-assortment cellular manufacturing (CM) of mechanical parts. A methodical approach is developed to optimally solve cell formation (CF) problems with CM systems design, which consists in the identification of machine cells and corresponding part families. The approach involves the use of syntactic pattern recognition concepts from the field of artificial intelligence (AI). It is based on methods of strings matching and clustering, applied extensively in genetics, molecular chemistry and biological sciences. The CF strategy followed implies clustering character strings that denote machine sequences in process routings. Numerical quantification of dissimilarity between part routings by a specific distance measure and the concept of average linkage clustering algorithm (ALCA) are at the core of the clustering procedure. The use of the approach is studied numerically with regard to a real industrial case and diverse layouts of cellular system are considered, including those with machine sharing. Group process alternatives with given system layouts and workflows prototyped by definite job sequencing rules, are simulated using programmed models. Generated design solutions are subjected to further analysis and quantitative evaluation by assumed measures of their operational performance.

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Wójcicki, Tomasz. "Model of Intelligent Design and Optimisation of Structures of Vision Systems for Surface Inspection." Solid State Phenomena 223 (November 2014): 272–82. http://dx.doi.org/10.4028/www.scientific.net/ssp.223.272.

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The article presents a selected area of on-going research on the possibility of using intelligent computer-aided design systems for surface inspection of products manufactured in large batch processes. Systems based on machine vision are used wherever it is essential to obtain high efficiency, reproducibility, and where there is the need to use non-contact measurement methods. The IT solution significantly improves the design processes by automatically generating optimal configuration of machine vision systems intended for the detection of surface defects in manufactured products. General structure of the model and its individual modules, performing functions such as automatic component selection of machine vision systems, setting the angle of the light emission towards the surface of the analysed objects, and the selection of the range of light radiation are discussed. The individual configuration steps of vision systems for surface inspection, in which processes are implemented using expert systems making inferences based on both classical bivalent logic, as well as multi-valued fuzzy logic, are shown. The author presents the original methodology for the optimisation of structures forming vision systems intended for the reduction of components and costs associated with their implementation in physical structures, designed for use in production lines. The results of empirical studies of the calculation model are shown.

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Shojaeipour, Shahed. "A Novel Method for Automated Tool Path Optimisation for CNC Machining Operations." Solid State Phenomena 166-167 (September 2010): 357–62. http://dx.doi.org/10.4028/www.scientific.net/ssp.166-167.357.

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In this article, a new method for rapid tool movement in CNC machines is presented. Firstly, a single digital camera, installed on the Z-axis, captures the image of the workpiece on the work table. Image processing techniques, implemented using MATLAB, are then used to convert the image into a binary black and white image. This allows the locations of protruding edge sections on the workpiece, which could impede tool movement, to be identified. Quadtree decomposition is then performed on the binary image, and possible paths from the tool current location to its target location are found. These paths are then analysed based on the tool diameter clearance and the distance to the goal, and the shortest path with sufficient tool clearance is selected. A Visual Basic program then converts the selected path into G-code commands that provides instructions to the CNC machine tool such that this path is followed. With this method, the workpiece fixture location would not have to be precise as the imaging system would be able to automatically identify the target location with respect to the tool current location, along with the optimal path to reach it.

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Basiaga, Marcin, and Joanna Przondziono. "Biomechanical Analysis of Selected Endoprostheses of Hip Joint by Means of Finite Element Methods." Solid State Phenomena 226 (January 2015): 29–32. http://dx.doi.org/10.4028/www.scientific.net/ssp.226.29.

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The main purpose of this paper was biomechanical analysis of hip joint endoprosthesis – femur systems by means of the Finite Element Method. During the analysis two endoprostheses with differential geometric features were selected. Geometric models of analysed implants were compiled on the grounds of real models like Merotan and The DePuy Proxima which were chosen from series diamensional. Afterwards the models were discretization and boundary conditions were set. Those boundary conditions with right accuracy copied a phenomena which occurred in real models - the Pauwels model. The field of analysis involved determination of the state of displacements, strains and stresses which were cut down in the of endoprosthesis – bone systems. The analysis that was carried out constitute the basics for optimisation of implant geometry and right selection of material’s mechanical properties to its production.

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Madej, Łukasz, Peter D. Hodgson, and Maciej Pietrzyk. "Comparison of the Strain Distribution Obtained from Multi Scale and Conventional Approaches to Modelling Extrusion." Solid State Phenomena 129 (November 2007): 25–30. http://dx.doi.org/10.4028/www.scientific.net/ssp.129.25.

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An investigation of the application of a multi scale CAFE model to prediction of the strain localization phenomena in industrial processes, such as extrusion, is presented in this work. Extrusion involves the formation of a strong strain localization zone, which influences the final product microstructure and may lead to a coarse grain layer close to the surface. Modelling of the shape of this zone and prediction of the strain magnitude will allow computer aided design of the extrusion process and optimisation of the technological parameters with respect to the microstructure and properties of the products. Thus, the particular objective of this work is comparison of the FE and CAFE predictions of strain localization in the shear zone area in extrusion. Advantages and disadvantages of the developed CAFE model are also discussed on the basis of the simulation results.

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Copin, S., A. Rouxel, M. Cornu, A. Robert-Pillo, M.-L. Quilici, P. Malle, and J. Lesne. "Optimisation of selective enrichment for the simultaneous isolation ofVibrio parahaemolyticusandVibrio choleraein frozen raw seafood products." Sciences des Aliments 27, no. 6 (December 28, 2007): 397–411. http://dx.doi.org/10.3166/sda.27.397-412.

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Szewczyk, Roman, and Dorota Jackiewicz. "The Application of the Extended Jiles-Atherton Model for Simulating the Magnetic Characteristics of X30CR13 Steel." Solid State Phenomena 220-221 (January 2015): 725–30. http://dx.doi.org/10.4028/www.scientific.net/ssp.220-221.725.

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The application of magnetic-property oriented methods for non-destructive testing is very promising due to its low cost and robustness. This paper presents the methodology of simulating the magnetic properties of martensitic X30Cr13 steel applying the extended Jiles-Atherton model. On the basis of experimental measurements, the parameters of the Jiles-Atherton model were determined by an evolutionary strategy together with gradient optimisation. A very good agreement between experimental hysteresis loops and the model was confirmed by a high value of determination coefficient. The presented results open new possibilities of developing methods for non-destructive testing of energetic turbines made of X30Cr13 stainless steel. Moreover, quantitative simulation gives a possibility of a better understanding of magnetisation processes.

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Kandouci, M., and S. Mottet. "Modelling and Optimisation of Poly-Si Thin Film Transistors for Flat Panel Displays." Solid State Phenomena 37-38 (March 1994): 571–76. http://dx.doi.org/10.4028/www.scientific.net/ssp.37-38.571.

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Prihatiningtyas, Wilda. "Optimisation of Village Funds in Achieving SDGs: Lesson Learned from East Java." World Journal of Entrepreneurship, Management and Sustainable Development 19, no. 1-2 (March 16, 2023): 69–86. http://dx.doi.org/10.47556/j.wjemsd.19.1-2.2023.6.

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Purpose: This research aims to discover the ideal model of Village Regulation in order to realise SDGs Desa (Village Sustainable Development Goals). It begins with the Village Fund Management rules that become the basic legal framework of Village SDGs. This output helps the local government in designing regulation bills to realise the Village SDGs that supports the national SDGs programme. Design/methodology/approach: This paper is an empirical study applying a statute and conceptual approach. Additionally, supporting data are gained through interviews resembling a participatory approach. Findings: There is a relationship between ideal model regulation and the supporting programmes for Village SDG achievements. Originality/value: This paper presents new information to optimise village funds in achieving SDGs through the development of regulatory models, especially at the local level. Research limitations/implications: As this research discusses updated issues in Village Financial Management, the sources are limited. However, the outcome is applicable for the local government to achieve SDGs. Practical implications: This research will help local village government to draft bills in order to achieve the SDGs Desa (Village Sustainable Development Goals).

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Gattelli, Ivano, Gian Luigi Chiarmetta, Marcello Boschini, Renzo Moschini, Mario Rosso, and Ildiko Peter. "New Generation of Brake Callipers to Improve Competitiveness and Energy Savings in Very High Performance Cars." Solid State Phenomena 217-218 (September 2014): 471–80. http://dx.doi.org/10.4028/www.scientific.net/ssp.217-218.471.

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This paper concerns with the optimisation of the innovative rheocasting process to produce a new generation of brake callipers, characterised by very high reliability and strength. The attained very promising properties favoured their use on a very high performance car and the presented technique can be further extended for other important challenging applications. The prototype components are produced using T6 heat treated A357 alloy. Results on the samples machined directly from the produced callipers are in detail described and analysed. Pieces exhibiting some small defects, individuated by non-destructive tests, as well as defectless pieces have been underlined to severe industrial tests, e.g. high pressure tight, as well as severe bench tests, and it has been observed that the proposed technological process assure the fulfilment of the requirements contained in standards.

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Kostiha, Vojtěch, Frantisek Girgle, Ivana Švaříčková, Petr Daněk, and Petr Štěpánek. "Verification of Composite Steel and Concrete Bed Behaviour for Machine Tools." Solid State Phenomena 322 (August 9, 2021): 170–75. http://dx.doi.org/10.4028/www.scientific.net/ssp.322.170.

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This paper focuses on the theoretical and experimental verification of a behaviour composite reinforced concrete bed for installation in high-precision machine tools. The design solution consists of coupling the steel shell and HPC concrete filling, which ensures the high rigidity of the bed. Studies in this article were aimed at describing, in detail, the behaviour of the bed, from production to setting into its final position. An integral part of the solution was implementing the measurement of the response of the real bed segment using the installed monitoring system as well as the numerical simulations performed on the assembled FEM model. Thanks to the modular design of the bed, it was possible to verify the behaviour of the simulated load during the operation of the machine tool on a smaller sample. The aim is to verify the functionality of the coupling and, based on the comparison of measured and theoretical data, to define the critical points of the composite and, thus, provide a basis for design optimisation in order to maximise the monitored parameters.

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Dang, T. A. "Grain yield optimisation in the Plain of Reeds in the context of climate variability." Revista Brasileira de Engenharia Agrícola e Ambiental 25, no. 9 (September 2021): 591–96. http://dx.doi.org/10.1590/1807-1929/agriambi.v25n9p591-596.

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ABSTRACT The Plain of Reeds is a large floodplain in the Mekong Delta, where natural disasters such as droughts, off-season rainfall and floods have dramatically increased, leading to declining in crop yields. The objective of this study was to evaluate the adverse impacts of climate factors (ICF) on grain yield of the main growing crops in the Plain of Reeds to define the suitable cultivation period (SCP) for rice-growing areas as an adaptation solution to minimise the adverse impacts of climate factors. To conduct this research, a crop model was applied to define the suitable cultivation periods based on simulating the grain yields of each rice-growing season. When the suitable cultivation periods were deployed, the grain yield of all simulated growing crops improved significantly compared to the current cultivation periods (baseline), which, for the main growing crops in the Plain of Reeds, are no longer suitable for the current weather conditions that have been deeply affected by climate variability in recent years.

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Sivan, Suma L., and Vinod Chandra S. Sukumara Pillai. "Smell Detection Agent Optimisation Framework and Systems Biology Approach to Detect Dys-Regulated Subnetwork in Cancer Data." Biomolecules 12, no. 1 (December 27, 2021): 37. http://dx.doi.org/10.3390/biom12010037.

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Network biology has become a key tool in unravelling the mechanisms of complex diseases. Detecting dys-regulated subnetworks from molecular networks is a task that needs efficient computational methods. In this work, we constructed an integrated network using gene interaction data as well as protein–protein interaction data of differentially expressed genes derived from the microarray gene expression data. We considered the level of differential expression as well as the topological weight of proteins in interaction network to quantify dys-regulation. Then, a nature-inspired Smell Detection Agent (SDA) optimisation algorithm is designed with multiple agents traversing through various paths in the network. Finally, the algorithm provides a maximum weighted module as the optimum dys-regulated subnetwork. The analysis is performed for samples of triple-negative breast cancer as well as colorectal cancer. Biological significance analysis of module genes is also done to validate the results. The breast cancer subnetwork is found to contain (i) valid biomarkers including PIK3CA, PTEN, BRCA1, AR and EGFR; (ii) validated drug targets TOP2A, CDK4, HDAC1, IL6, BRCA1, HSP90AA1 and AR; (iii) synergistic drug targets EGFR and BIRC5. Moreover, based on the weight values assigned to nodes in the subnetwork, PLK1, CTNNB1, IGF1, AURKA, PCNA, HSPA4 and GAPDH are proposed as drug targets for further studies. For colorectal cancer module, the analysis revealed the occurrence of approved drug targets TYMS, TOP1, BRAF and EGFR. Considering the higher weight values, HSP90AA1, CCNB1, AKT1 and CXCL8 are proposed as drug targets for experimentation. The derived subnetworks possess cancer-related pathways as well. The SDA-derived breast cancer subnetwork is compared with that of tools such as MCODE and Minimum Spanning Tree, and observed a higher enrichment (75%) of significant elements. Thus, the proposed nature-inspired algorithm is a novel approach to derive the optimum dys-regulated subnetwork from huge molecular network.

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Petitdidier, Sébastien, H. Bernard, Enrico Bellandi, F. Landa, H. Shirakawa, and Didier Lévy. "Optimisations of SC-1 Conditions for Sub 0.18μm Technologies in an Industrial Environment." Solid State Phenomena 76-77 (January 2001): 93–96. http://dx.doi.org/10.4028/www.scientific.net/ssp.76-77.93.

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Journal articles on the topic 'Optimisation SDP'

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