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Article ; Online: Optimizing flexible job shop scheduling with automated guided vehicles using a multi-strategy-driven genetic algorithm

Wenlong Li / Huan Li / Yuting Wang / Yuyan Han

Egyptian Informatics Journal, Vol 25, Iss , Pp 100437- (2024)

1481

Abstract: The flexible job scheduling problem with automated guided vehicles (FJSP-AGVs) is a simplified model of some real manufacturing industries. It contains three strongly coupled subproblems: operation sequences assignment, machine selection, and automatic ... ...

Abstract	The flexible job scheduling problem with automated guided vehicles (FJSP-AGVs) is a simplified model of some real manufacturing industries. It contains three strongly coupled subproblems: operation sequences assignment, machine selection, and automatic guided vehicle selection, leading to a huge solution space. Its several unresolved challenges, i.e., problem model and algorithmic designing, persist. Therefore, we first adopt the sequence-based modeling method to establish a mixed-integer linear programming model with makespan, and its correctness is verified by using the Gurobi solver. Subsequently, a multi-strategy-driven genetic algorithm (Mult_stra_GA) is proposed based on the implicit features of FJSP-AGVs. In Mult_stra_GA, for the operation sequence (OS) and the machine assignment (MS) subproblems, we design three targeted strategies, i.e., two layer-based encoding and decoding strategy, a multiple heuristics-based initialization strategy, double crossover, and dual mutation operators. Meanwhile, the problem-specific diversity checking and restart strategies are introduced to avoid Mult_stra_GA falling into local optima. Finally, we conduct experiments on four well-known benchmarks. Through the statistical analysis, the outcomes demonstrate that the Mult_stra_GA algorithm exhibits efficacy when contrasted with other advanced algorithms.
Keywords	Flexible Job Shop ; Automated guided vehicle ; Makespan ; Genetic algorithm ; Restart strategy ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	629
Language	English
Publishing date	2024-03-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Application of Biographical Data in Student’s Major Selection

Yuting Wang / Guandong Song

Sustainability, Vol 14, Iss 15894, p

2022 Volume 15894

Abstract: The research studies describe that students utilize Information and Communication Technology (ICT) widely to improve their academic performance. In the classroom, students use ICT assistive technologies via laptops and smartphones for academic and non- ... ...

Abstract	The research studies describe that students utilize Information and Communication Technology (ICT) widely to improve their academic performance. In the classroom, students use ICT assistive technologies via laptops and smartphones for academic and non-academic activities. The ICT tool interactions are applied to developing an effective learning environment that is used to support the student’s learning and understanding in a specific context. The utilization of ICT motivates the students to utilize the technologies in the classroom environment. The ICT training policies help resolve the fundamental issues that students come across, particularly high school students going to college. However, most students do not know enough about their major tendencies and feel lost when deciding on a major. Our study aimed to apply ICT biographical data as a tool for major selection. Based on the rationale of psychometrics and valuable evidence, some studies show that the average high school score is the best predictor of the average college score. The biographical data prediction method is the pre-university life history of students of different majors. Compiling questionnaires takes the college academic performance of students as the studying criterion and weights projects on the biographical data table to develop college students’ biographical information blank and its norm system to provide services for student’s choice of major. Various results show that biographical information blank items are diverse, and the impurity of the content may lead to low internal reliability (α coefficient is usually between 0.60 and 0.80) but a high test–retest validity coefficient (usually between 0 and 0.90). In contrast, its validity has predictive validity because it is independent of each score. Furthermore, since biographical information blanks comprise verifiable and unverifiable items, the ideal subjects answered more reliably because they were accountable for their responses. Studies show that the description of individual life ...
Keywords	Information Communication Technology ; assistive technology ; ICT training policies ; biographical data ; biographical information blank ; major selection ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	028
Language	English
Publishing date	2022-11-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Spatial characteristics of industrial economic location and its formation in Chongqing, China

Zhonglin Tang / Min Fu / Yuting Wang / Yihui Zhao

Frontiers in Environmental Science, Vol

2023 Volume 11

Abstract: As the core carrier and organizational bodies of the regional industrial space, the study of the location of industrial enterprises and the formation of their economic location is related to the rational development of regional industries, the ... ...

Abstract	As the core carrier and organizational bodies of the regional industrial space, the study of the location of industrial enterprises and the formation of their economic location is related to the rational development of regional industries, the coordination of humans and the environment, and the effective allocation of resources. Taking Chongqing, one of the six old industrial bases in China, as an example, this study analyzed the spatial distribution characteristics, economic location characteristics, and formation laws of industrial enterprises based on the Points of interest data (POI), and investigation data. The results showed that industrial enterprises in Chongqing show obvious spatial clustering characteristics. About 93.50%, 60.34%, 96.67%, 97.57%, 73.57%, 64.83% of industrial enterprises were distributed within the spatial range of 10 Km from the motorways, national highways, provincial highways, county highways, main streams of rivers and central towns, and 93.48% of industrial enterprises were distributed at an altitude of 800 m or less. In order to further reveale the economic location characteristics of industrial enterprises in Chongqing, this study further quantified the spatial differentiation law of industrial economic location based on Geographically weighted regression (GWR). The results showed that factors such as the Distance to National Highways (DNH), Distance to County Highways (DCH), Distance to Central Towns (DCC), Distance to River systems (DR), and Population Density (POP) had significant positive impacts on the formation of economic locations of industrial enterprises, while the Distance to Motorway (DMW) exerted a certain negative influence, but the effectiveness sees strong spatial heterogeneity according to the type of industry and the actual regional industrial development, with factors such as transportation accessibility, environment, and labor force playing a moderating role.
Keywords	industrial location ; economic location ; spatial heterogeneity ; GWR ; Chongqing ; Environmental sciences ; GE1-350
Subject code	910
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Progress in Microtopography Optimization of Polymers-Based Pressure/Strain Sensors

Shouheng Sun / Zhenqin Wang / Yuting Wang

Polymers, Vol 15, Iss 764, p

2023 Volume 764

Abstract: Due to the wide application of wearable electronic devices in daily life, research into flexible electronics has become very attractive. Recently, various polymer-based sensors have emerged with great sensing performance and excellent extensibility. It ... ...

Abstract	Due to the wide application of wearable electronic devices in daily life, research into flexible electronics has become very attractive. Recently, various polymer-based sensors have emerged with great sensing performance and excellent extensibility. It is well known that different structural designs each confer their own unique, great impacts on the properties of materials. For polymer-based pressure/strain sensors, different structural designs determine different response-sensing mechanisms, thus showing their unique advantages and characteristics. This paper mainly focuses on polymer-based pressure-sensing materials applied in different microstructures and reviews their respective advantages. At the same time, polymer-based pressure sensors with different microstructures, including with respect to their working mechanisms, key parameters, and relevant operating ranges, are discussed in detail. According to the summary of its performance and mechanisms, different morphologies of microstructures can be designed for a sensor according to its performance characteristics and application scenario requirements, and the optimal structure can be adjusted by weighing and comparing sensor performances for the future. Finally, a conclusion and future perspectives are described.
Keywords	polymer-based sensors ; pressure/strain sensors ; topography optimization ; structural performance optimization ; wearable electronics ; Organic chemistry ; QD241-441
Subject code	660
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Electroencephalogram Application for the Analysis of Stress Relief in the Seasonal Landscape

Yuting Wang / Ming Xu

International Journal of Environmental Research and Public Health, Vol 18, Iss 8522, p

2021 Volume 8522

Abstract: This study proposes an integrated approach to assess the psychological and physiological responses of people in natural seasonal landscapes. The questionnaire of restoration outcomes scale (ROS), willingness to visit (WTV), cultural ecosystem services ( ... ...

Abstract	This study proposes an integrated approach to assess the psychological and physiological responses of people in natural seasonal landscapes. The questionnaire of restoration outcomes scale (ROS), willingness to visit (WTV), cultural ecosystem services (CES) cognitive classification, and the neuroscientific technique based on electroencephalogram (EEG) measurements were applied. The effects of different landscapes on human perception were studied by comparing the EEG data of different landscape types and different seasons. The coupling relationship between EEG data and stress recovery was also examined. The results showed the following: First, there was a significant difference between the winter landscape and the summer natural landscape. Second, only the winter landscape showed significant gender differences. Third, the values of ROS and WTV in the summer landscape were greater than those in the winter landscape. Fourth, the number of CES in the summer landscape was significantly higher than that in the winter landscape, and the number of CES in water was higher than that in the forest and grassland. Thus, brain wave data and quantified values from questionnaires including ROS, WTV, and CES showed significant seasonality. Therefore, an EEG can be used as a new, more objective tool and method for landscape evaluation and planning in the future.
Keywords	neuroscience ; electroencephalogram ; stress recovery ; landscape ; season ; cultural ecosystem services ; Medicine ; R
Subject code	710
Language	English
Publishing date	2021-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Impacts of heavy smoking on non-coding RNA expression for patients with esophageal carcinoma

Qin Wen / Xinlan Mao / Xinling Shi / Yuting Wang / Jianming Wang

BMC Medical Genomics, Vol 16, Iss 1, Pp 1-

2023 Volume 13

Abstract: Abstract Background Smoking is a well-recognized risk factor for esophageal carcinoma, but the underlying molecular mechanism remains unclear. Previous studies have demonstrated the predictive value of non-coding RNA (ncRNA) for the prognosis of ... ...

Abstract	Abstract Background Smoking is a well-recognized risk factor for esophageal carcinoma, but the underlying molecular mechanism remains unclear. Previous studies have demonstrated the predictive value of non-coding RNA (ncRNA) for the prognosis of esophageal carcinoma; however, the expression of smoking-related ncRNAs has not been systematically characterized. Herein, we comprehensively assessed the hazard of heavy smoking and its impact on ncRNA expression patterns in patients with esophageal carcinoma. Methods Transcriptome and clinical features of patients with esophageal carcinoma were acquired from The Cancer Genome Atlas (TCGA) database. Cox regression analysis was employed to calculate the hazard ratio (HR) of smoking behavior. Differential expression analysis was conducted with the “edgeR” package. The smoking-related RNA regulatory network was based on lncRNA‒miRNA and miRNA‒mRNA pairs and visualized by Cytoscape 3.7.1. We applied Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses for functional annotation. Univariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses were used for model construction. We applied Kaplan‒Meier analysis with a log-rank test for survival analysis, with group comparison by the Wilcoxon signed ranked test. Results Heavy smoking contributed to the poor overall survival of esophageal carcinoma, with an HR of 3.167 (95% CI: 1.077–9.312). A total of 195 lncRNAs and 73 miRNAs were differentially expressed between patients with or without smoking behavior. We constructed smoking-related RNA regulatory networks, and functional annotation enriched a series of cancer-related pathways. We generated a smoking-related prognostic risk score and found that patients with a high score had a poor prognosis. Fourteen out of 23 immune cell types differentially infiltrated into a distinct risk group, while no correlation was observed between the risk score and immune cells. Conclusion Altogether, we profiled ...
Keywords	Tobacco smoking ; Non-coding RNA ; RNA regulatory network ; Immune infiltration ; Esophageal carcinoma ; Prognosis ; Internal medicine ; RC31-1245 ; Genetics ; QH426-470
Subject code	616
Language	English
Publishing date	2023-07-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Enhancement of KMnO4 treatment on cyanobacteria laden-water via 1000 kHz ultrasound at a moderate intensity

JuanJuan Wang / Yuting Wang / Wenshu. Li / Xiaoge Wu

Ultrasonics Sonochemistry, Vol 98, Iss , Pp 106502- (2023)

2023

Abstract: 1000 kHz high-frequency ultrasound at 0.12 and 0.39 W/mL intensity was used to enhance the inactivation of suspensions of Microcystis aeruginosa cells using KMnO4. With 10 mg/L of KMnO4, ultrasound at 0.12 W/mL intensity was found to be effective in ... ...

Abstract	1000 kHz high-frequency ultrasound at 0.12 and 0.39 W/mL intensity was used to enhance the inactivation of suspensions of Microcystis aeruginosa cells using KMnO4. With 10 mg/L of KMnO4, ultrasound at 0.12 W/mL intensity was found to be effective in inactivating the cyanobacteria within 10 min. A Weibull model was found to describes the inactivation well. Its concave shape shows that some cells have a certain resistance to this treatment. Cytometry and microscopic analysis confirm that the treatment damages cell integrity. Despite that the extracellular organic matter in the water was not significantly increased. The concentration of extracellular cyanobacterial toxins even decreased. The filtered suspension of inactivated cyanobacteria was used to cultivate mung beans, and the suspension did not hinder their germination. This provides a new idea for using cyanobacteria-laden wastewater. These findings suggest a technique for speeding up the oxidation of Microcystis cells using KMnO4 with ultrasound at moderate intensity, which provide new insights into the biological effects of ultrasound.
Keywords	Ultrasound ; Potassium permanganate ; Inactivation modelling ; Microcystis aeruginosa ; Water treatment ; Chemistry ; QD1-999 ; Acoustics. Sound ; QC221-246
Subject code	500
Language	English
Publishing date	2023-08-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Which factors influence public perceptions of urban attractions? — A comparative study

Zhonglin Tang / Yihui Zhao / Min Fu / Yuting Wang / Jingyue Xue

Ecological Indicators, Vol 154, Iss , Pp 110541- (2023)

2023

Abstract: To better serve the public, urban attractions must understand the public's likes and dislikes and continually adapt and optimize their service in response. However, traditional methods for gauging public opinion, such as questionnaires and individual ... ...

Abstract	To better serve the public, urban attractions must understand the public's likes and dislikes and continually adapt and optimize their service in response. However, traditional methods for gauging public opinion, such as questionnaires and individual interviews, cannot meet the need for large-scale, time-efficient, and high-precision public preference surveys: only large volumes of online tourist review data will suffice. This study takes Beijing and Shenzhen, the two top-tier cities in North and South China, as subjects to conduct an online review of visitor data for urban attractions in the two cities. Specifically, the influence of attraction features on public perception is quantitatively analyzed from three dimensions—spatial, temporal and resource type—which are combined with Natural Language Processing (NLP), Textual Data Mining, and Econometric analysis. The results show that the influence of four types of features—First impression, Economical, Service and Environmental features—on public perception remains largely consistent under different model conditions. However, different landscape types and attributes affect preferences in different ways. To be precise, water has radically different effects on public preferences in the north and south, with water features in urban attractions in the south contributing less to positive public perceptions. Meanwhile, water features significantly increase preferences for natural landscapes. Furthermore, public perceptions were found to be heavily influenced by public health emergencies (COVID-19). In the two cities studied, the proportion of positive reviews was higher after 2020 than before, as were the regression model indices. Drawing on these results, several suggestions are put forward for the optimization and adaptation of urban attractions.
Keywords	Public Perception ; Urban attraction ; NLP ; Textual Data Mining ; Binomial logit model ; Ecology ; QH540-549.5
Subject code	720
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Land Cover Classification from Hyperspectral Images via Local Nearest Neighbor Collaborative Representation with Tikhonov Regularization

Rongchao Yang / Qingbo Zhou / Beilei Fan / Yuting Wang

Land, Vol 11, Iss 702, p

2022 Volume 702

Abstract: The accurate and timely monitoring of land cover types is of great significance for the scientific planning, rational utilization, effective protection and management of land resources. In recent years, land cover classification based on hyperspectral ... ...

Abstract	The accurate and timely monitoring of land cover types is of great significance for the scientific planning, rational utilization, effective protection and management of land resources. In recent years, land cover classification based on hyperspectral images and the collaborative representation (CR) model has become a hot topic in the field of remote sensing. However, most of the existing CR models do not consider the problem of sample imbalance, which affects the classification performance of CR models. In addition, the Tikhonov regularization term can improve the classification performance of CR models, but greatly increases the computational complexity of CR models. To address the above problems, a local nearest neighbor (LNN) method is proposed in this paper to select the same number of nearest neighbor samples from each nearest class of the test sample to construct a dictionary. This is then introduced into the original collaborative representation classification (CRC) method and CRC with Tikhonov regularization (CRT) for land cover classification, denoted as LNNCRC and LNNCRT, respectively. To verify the effectiveness of the proposed LNNCRC and LNNCRT methods, the classification performance and running time of the proposed methods are compared with those of six popular CR models on a hyperspectral scene with nine land cover types. The experimental results show that the proposed LNNCRT method achieves the best land cover classification performance, and the proposed LNNCRC and LNNCRT methods not only further exclude the interference of irrelevant training samples and classes, but also effectively eliminate the influence of imbalanced training samples, so as to improve the classification performance of CR models and effectively reduce the computational complexity of CR models.
Keywords	land cover classification ; hyperspectral images ; collaborative representation ; sample imbalance ; local nearest neighbors ; Agriculture ; S
Subject code	006
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The first space-filling polyhedrons of polymer cubic cells originated from Weaire-Phelan structure created by polymerization induced phase separation

Naofumi Naga / Masumi Jinno / Yuting Wang / Tamaki Nakano

Scientific Reports, Vol 12, Iss 1, Pp 1-

2022 Volume 8

Abstract: Abstract The Weaire–Phelan structure is a three-dimensional structure composed of two different polyhedra having the same volume, i.e., pyritohedron and truncated hexagonal trapezohedron. It was proposed by Weaire and Phelan in 1993 as a solution of the ... ...

Abstract	Abstract The Weaire–Phelan structure is a three-dimensional structure composed of two different polyhedra having the same volume, i.e., pyritohedron and truncated hexagonal trapezohedron. It was proposed by Weaire and Phelan in 1993 as a solution of the Kelvin problem of filling space with no gaps with cells of minimum surface area and equal volume. It was found in physical systems including liquid foam and a metal alloy while it has never been constructed as organic materials. We report herewith the first polymeric Weaire–Phelan structure constructed through phase-separation of a single polymer species that is synthesized by simple polyaddition between tetrakis(3-mercaptopropionate) and 1,6-diisocyanatohexane. The structure has the order of micrometers and is amorphous unlike reported crystal structures similar to the Weaire–Phelan structure.
Keywords	Medicine ; R ; Science ; Q
Language	English
Publishing date	2022-11-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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