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Journal articles on the topic 'GA. Information industry'

Author: Grafiati

Published: 10 March 2023

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1

Rao, Xiaoyang, and Xuesong Yan. "Particle Swarm Optimization Algorithm Based on Information Sharing in Industry 4.0." Wireless Communications and Mobile Computing 2022 (March 10, 2022): 1–11. http://dx.doi.org/10.1155/2022/4328185.

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Intelligent manufacturing is an important part of Industry 4.0; artificial intelligence technology is a necessary means to realize intelligent manufacturing. This requires the exploration of pattern recognition, computer vision, intelligent optimization, and other related technologies. Particle swarm optimization (PSO) algorithm is an optimization algorithm inspired by the foraging behavior of birds. PSO was an intelligent technology and an efficient optimization algorithm verified by a lot of research and experiments. In this paper, the traditional PSO algorithm is compared with genetic algor

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Kim, Seonhyeon, Ephraim Kwashie Thompson, and Changki Kim. "Insurance Transactions through Blockchain Applications: Current Status and Implications for the Domestic Insurance Industry." Crisis and Emergency Management: Theory and Praxis 17, no. 11 (2021): 137–56. http://dx.doi.org/10.14251/crisisonomy.2021.17.11.137.

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This paper discusses the necessity for introducing blockchain technology into insurance sales channels. We focus on two factors that have hindered the sustainable development of the domestic insurance industry. The first problem is that insurance companies’ profitability is on the decline and the second issue relates to information asymmetry problems besetting insurance sales channels. The channels are heavily concentrated on general agencies (GA) but the GA channel has been characterized by problems such as incomplete sales and high termination rates. Due to the advantages of blockchain techn

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Jendrzejczyk-Handzlik, D. "Phase equilibria in the ternary Ag-Au-Ga system: Isothermal sections at 250°C and 450°C." Journal of Mining and Metallurgy, Section B: Metallurgy 53, no. 3 (2017): 215–22. http://dx.doi.org/10.2298/jmmb170531043j.

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The ternary Ag-Au-Ga system seems to be interesting in jeweller?s craft as a joint. Moreover, the ternary systems based on gold and silver have found applications in the dental industry. A literature overview of the Ag-Au-Ga system shows that the information about phase equilibria of this system does not exist. In the present work, phase equilibria in the Ag-Au-Ga ternary system have been studied by using scanning electron microscopy (SEM) with energy dispersive spectroscopy (EDS) analysis and X-ray diffraction analysis (XRD). Twenty two annealed alloys in the 10-70 at.% Ga region have been in

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Liu, Chao, Yixin Fan, and Xiangyu Zhu. "Fintech Index Prediction Based on RF-GA-DNN Algorithm." Wireless Communications and Mobile Computing 2021 (June 7, 2021): 1–9. http://dx.doi.org/10.1155/2021/3950981.

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The Fintech index has been more active in the stock market with the Fintech industry expanding. The prediction of the Fintech index is significant as it is capable of instructing investors to avoid risks and provide guidance for financial regulators. Traditional prediction methods adopt the deep neural network (DNN) or the combination of genetic algorithm (GA) and DNN mostly. However, heavy computational load is required by these algorithms. In this paper, we propose an integrated artificial intelligence-based algorithm, consisting of the random frog algorithm (RF), GA, and DNN, to predict the

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Kandiri, Amirreza, Farid Sartipi, and Mahdi Kioumarsi. "Predicting Compressive Strength of Concrete Containing Recycled Aggregate Using Modified ANN with Different Optimization Algorithms." Applied Sciences 11, no. 2 (2021): 485. http://dx.doi.org/10.3390/app11020485.

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Using recycled aggregate in concrete is one of the best ways to reduce construction pollution and prevent the exploitation of natural resources to provide the needed aggregate. However, recycled aggregates affect the mechanical properties of concrete, but the existing information on the subject is less than what the industry needs. Compressive strength, on the other hand, is the most important mechanical property of concrete. Therefore, having predictive models to provide the required information can be helpful to convince the industry to increase the use of recycled aggregate in concrete. In

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Wang, Di, Lin Xie, Simon Yang, and Fengchun Tian. "Support Vector Machine Optimized by Genetic Algorithm for Data Analysis of Near-Infrared Spectroscopy Sensors." Sensors 18, no. 10 (2018): 3222. http://dx.doi.org/10.3390/s18103222.

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Near-infrared (NIR) spectral sensors deliver the spectral response of the light absorbed by materials for quantification, qualification or identification. Spectral analysis technology based on the NIR sensor has been a useful tool for complex information processing and high precision identification in the tobacco industry. In this paper, a novel method based on the support vector machine (SVM) is proposed to discriminate the tobacco cultivation region using the near-infrared (NIR) sensors, where the genetic algorithm (GA) is employed for input subset selection to identify the effective princip

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Praveen, S. Phani, Hesam Ghasempoor, Negar Shahabi, and Fatemeh Izanloo. "A Hybrid Gravitational Emulation Local Search-Based Algorithm for Task Scheduling in Cloud Computing." Mathematical Problems in Engineering 2023 (February 4, 2023): 1–9. http://dx.doi.org/10.1155/2023/6516482.

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The flexibility of cloud computing to provide a dynamic and adaptable infrastructure in the context of information technology and service quality has made it one of the most challenging issues in the computer industry. Task scheduling is a major challenge in cloud computing. Scheduling tasks so that they may be processed by the most effective cloud network resources has been identified as a critical challenge for maximizing cloud computing’s performance. Due to the complexity of the issue and the size of the search space, random search techniques are often used to find a solution. Several algo

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Chen, Chen, Thomas Phang, and Lee Kong Tiong. "Planning semi-automated precast production using GA." International Journal of Industrialized Construction 1, no. 1 (2020): 48–63. http://dx.doi.org/10.29173/ijic215.

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Although fully automated production systems have been developed and used in some industry leaders, most of the precast factories have yet to be developed to that stage. Semi-automated production lines are still popularly used. As production productivity can be maximally improved within the physical constraints by applying a sound production plan, this paper tends to propose a production planning method for the semi-automated precast production line using genetic algorithm (GA). The production planning problem is formulated into a flexible job shop scheduling problem (FJSSP) model and solved us

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Kourousis, Kyriakos I. "A HOLISTIC APPROACH TO GENERAL AVIATION AIRCRAFT STRUCTURAL FAILURE PREVENTION IN AUSTRALIA." Aviation 17, no. 3 (2013): 98–103. http://dx.doi.org/10.3846/16487788.2013.840055.

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Ageing aircraft are becoming a major issue in the general aviation (GA) industry, both in terms of safety and maintenance and support cost. Ensuring a sound structure is considered one of the primary challenges in this area, it is, therefore, attracting the attention of the regulating authorities. The Civil Aviation Safety Agency (CASA) has taken a mixture of actions to tackle the various issues related to the diverse Australian GA ageing aircraft fleet. Further efforts focus on increasing the awareness of the different parties engaged in aircraft operations, maintenance and design, as well as

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Yang, Zeyin. "Application and Development of Digital Enhancement of Traditional Sculpture Art." Scientific Programming 2022 (February 3, 2022): 1–8. http://dx.doi.org/10.1155/2022/9095577.

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Sculpture art, as an important carrier of spiritual civilization, also portrays a prosperous scene as an industry with urban and cultural development. Three-dimensional technology offers a new platform for sculpture creation, allowing for the digitization of sculpture works via electronic information technology, and the display of sculpture works in front of people via displays, facilitating the exchange and dissemination of information and promoting the growth and progress of the entire sculpture creation industry. We plan to use digital enhancement technology to conduct small-scale creation

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11

Li, Yuming, Shuting Fu, Qiyang Zhang, Hongyu Liu, and Yajun Wang. "Recent Progress of Ga-Based Catalysts for Catalytic Conversion of Light Alkanes." Catalysts 12, no. 11 (2022): 1371. http://dx.doi.org/10.3390/catal12111371.

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The efficient and clean conversion of light alkanes is a research hotspot in the petrochemical industry, and the development of effective and eco-friendly non-noble metal-based catalysts is a key factor in this field. Among them, gallium is a metal component with good catalytic performance, which has been extensively used for light alkanes conversion. Herein, we critically summarize recent developments in the preparation of gallium-based catalysts and their applications in the catalytic conversion of light alkanes. First, we briefly describe the different routes of light alkane conversion. Fol

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He, Wei, Yichao Shi, and Dewei Kong. "Construction of a 5D duration and cost optimisation model based on genetic algorithm and BIM." Journal of Engineering, Design and Technology 17, no. 5 (2019): 929–42. http://dx.doi.org/10.1108/jedt-12-2018-0214.

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Purpose The construction industry is characterized by a long construction period, high cost and many uncontrollable factors. The owners and contractors are increasingly focusing on the efficiency of their construction and costs in pursuit of greater economic benefits. However, current methods used in the construction period and cost optimization analysis with multiple constraints the have their own limitations. Therefore, this study aims to propose a combination of genetic algorithm (GA) and building information modeling (BIM) to construct a five-dimensional construction duration-cost optimiza

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Kamalakannan, T., and P. Mayilvaghnan. "Optimal customer relationship management in telecalling industry by using data mining and business intelligence." International Journal of Engineering & Technology 7, no. 1.1 (2017): 12. http://dx.doi.org/10.14419/ijet.v7i1.1.8907.

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Decision making system in telecommunication industries plays a more important role where it is required to find customer churn. Customer churn prediction requires finding out and analyzing the information about the business data intelligence techniques which can be done efficiently by adapting the business intelligence techniques. Business intelligence provides tools to predict and analyze the historical, current and predictive views of business operations. However, this would be more complex task with high volume of data which are gathered from million of telephone users for the time being. I

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Lee, Sanghyeop, Junyeob Kim, Hyeon Kang, Do-Young Kang, and Jangsik Park. "Genetic Algorithm Based Deep Learning Neural Network Structure and Hyperparameter Optimization." Applied Sciences 11, no. 2 (2021): 744. http://dx.doi.org/10.3390/app11020744.

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Alzheimer’s disease is one of the major challenges of population ageing, and diagnosis and prediction of the disease through various biomarkers is the key. While the application of deep learning as imaging technologies has recently expanded across the medical industry, empirical design of these technologies is very difficult. The main reason for this problem is that the performance of the Convolutional Neural Networks (CNN) differ greatly depending on the statistical distribution of the input dataset. Different hyperparameters also greatly affect the convergence of the CNN models. With this am

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Kasim Hawari, Mohd Zarifitri, and Nur Ilyana Anwar Apandi. "Industry 4.0 with intelligent manufacturing 5G mobile robot based on genetic algorithm." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (2021): 1376. http://dx.doi.org/10.11591/ijeecs.v23.i3.pp1376-1384.

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A manufacturing fifth-generation (5G) mobile robot is a new development of industry 4.0 application, deploying an unmanned system. This study aims to implement a robot system for industrial applications in real-time with remote sensors to enable humans. Moreover, there is still some obstacle to cope with the better optimization solution for manufacturing 5G robot. This paper proposed a latency network algorithm for the manufacturing 5G mobile robot. An improved genetic algorithm (GA) by restructuring the genes is applied to plan a mobile robot path. The process of the robot path in a complex w

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Kim, Sangyong, and Jae Heon Shim. "Combining case-based reasoning with genetic algorithm optimization for preliminary cost estimation in construction industry." Canadian Journal of Civil Engineering 41, no. 1 (2014): 65–73. http://dx.doi.org/10.1139/cjce-2013-0223.

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In this paper, we propose a hybrid case-based reasoning (CBR) system for predicting the construction cost of high-rise buildings at the preliminary design stage. First, the extracted cost factors (CFs) of a high-rise building were shown to significantly improve the cost estimation system’s performance. For developing a CBR system, a hybrid approach that combines CBR with genetic algorithms (GAs) for cost estimation was adopted. Genetic algorithms were used for optimized weight generation and applied to real project cases. Additionally, this paper proposes the identification of an alternative s

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Stevie, F. A., S. W. Downey, S. Brown, et al. "Microscale Elemental Imaging of Semiconductor Materials Using Focused Ion Beam Sims." Microscopy and Microanalysis 4, S2 (1998): 650–51. http://dx.doi.org/10.1017/s1431927600023370.

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The semiconductor industry demands elemental information from ever smaller regions. Two types of information in demand are two dimensional dopant profiles for the MOS transisitor and identification of particles as small as 30 nm diameter. The work of Levi-Setti and others resulted in liquid metal ion source (LMIS) instruments that provided secondary ion mass spectrometry (SIMS) images using Ga+ beams with 20 nm lateral resolution. It is now possible to purchase focused ion beam (FIB) systems with 5 nm beam capability and SIMS detection.The application of LMIS SIMS to meet semiconductor demands

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18

An, Yonghong. "Mathematical Model and Genetic Algorithm in Computer Programming Optimization and Network Topology Structure." Wireless Communications and Mobile Computing 2022 (August 12, 2022): 1–11. http://dx.doi.org/10.1155/2022/1917172.

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Recent emphasis has been focused on the industrial Internet of Things (Ind-IoT) in the context of the Fourth Industrial Revolution (Industry 4.0). IoT devices are used in the Ind-IoT to increase manufacturing productivity. The problem, however, is that these instruments will create enormous volumes of data records that must be handled efficiently. Cloud computing (CC) is frequently cited as a viable option for providing effective support for Ind-IoT applications. However, the high-latency and unstable connectivity problem between the cloud and Ind-IoT endpoints continues to plague Ind-IoT oper

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19

Eltoukhy, Abdelrahman E. E., Felix T. S. Chan, S. H. Chung, Ben Niu, and X. P. Wang. "Heuristic approaches for operational aircraft maintenance routing problem with maximum flying hours and man-power availability considerations." Industrial Management & Data Systems 117, no. 10 (2017): 2142–70. http://dx.doi.org/10.1108/imds-11-2016-0475.

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Purpose The purpose of this paper is twofold. First, to propose an operational model for aircraft maintenance routing problem (AMRP) rather than tactical models that are commonly used in the literature. Second, to develop a fast and responsive solution method in order to cope with the frequent changes experienced in the airline industry. Design/methodology/approach Two important operational considerations were considered, simultaneously. First one is the maximum flying hours, and second one is the man-power availability. On the other hand, ant colony optimization (ACO), simulated annealing (SA

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Wang, Fei-Peng. "Research on Application of Big Data in Internet Financial Credit Investigation Based on Improved GA-BP Neural Network." Complexity 2018 (December 2, 2018): 1–16. http://dx.doi.org/10.1155/2018/7616537.

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The arrival of the era of big data has provided a new direction of development for internet financial credit collection. First of all, the article introduced the situation of internet finance and traditional credit industry. Based on that, the mathematical model was used to demonstrate the necessity of developing big data financial credit information. Then, the Internet financial credit data are preprocessed, the variables suitable for modeling are selected, and the dynamic credit tracking model of BP neural network based on adaptive genetic algorithm is constructed. It is found that both LM t

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21

Chou, Wei-I., Tun-Wen Pai, Shi-Hwei Liu, Bor-Kai Hsiung, and Margaret D. T. Chang. "The family 21 carbohydrate-binding module of glucoamylase from Rhizopus oryzae consists of two sites playing distinct roles in ligand binding." Biochemical Journal 396, no. 3 (2006): 469–77. http://dx.doi.org/10.1042/bj20051982.

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The starch-hydrolysing enzyme GA (glucoamylase) from Rhizopus oryzae is a commonly used glycoside hydrolase in industry. It consists of a C-terminal catalytic domain and an N-terminal starch-binding domain, which belong to the CBM21 (carbohydrate-binding module, family 21). In the present study, a molecular model of CBM21 from R. oryzae GA (RoGACBM21) was constructed according to PSSC (progressive secondary structure correlation), modified structure-based sequence alignment, and site-directed mutagenesis was used to identify and characterize potential ligand-binding sites. Our model suggests t

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Hoke, Eva, Kamil Peterek, Katerina Vichova, and Pavel Taraba. "Effect of crises on human resources management in small and medium enterprises: Evidence from manufacturing industry in the Czech Republic." Problems and Perspectives in Management 20, no. 2 (2022): 10–21. http://dx.doi.org/10.21511/ppm.20(2).2022.02.

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The current turbulent times have never been so demanding to adapt to ever-changing conditions. Small and medium enterprises (SMEs) form the cornerstone of the economy. Moreover, they are the driving force of economic processes in all countries. Therefore, this paper aims to empirically map and identify the causes of the crisis and statistically verify how these crises affect the personnel measures taken and human resource management (HRM) in SMEs. The chi-square test and Cramer’s coefficient were used to verify the statistical dependences of research questions and hypotheses. A statistically s

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Nakandala, Dilupa, Henry Lau, and Jingjing Zhang. "Cost-optimization modelling for fresh food quality and transportation." Industrial Management & Data Systems 116, no. 3 (2016): 564–83. http://dx.doi.org/10.1108/imds-04-2015-0151.

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Purpose – All along the length of the supply chain, fresh food firms face the challenge of managing both product quality, due to the perishable nature of the products, and product cost. The purpose of this paper to develop a method to assist logistics managers upstream in the fresh food supply chain in making cost optimized decisions regarding transportation, with the objective of minimizing the total cost while maintaining the quality of food products above acceptable levels. Design/methodology/approach – Considering the case of multiple fresh food products collected from multiple farms being

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Reyes-Barquet, Luis Miguel, José Octavio Rico-Contreras, Catherine Azzaro-Pantel, et al. "Multi-Objective Optimal Design of a Hydrogen Supply Chain Powered with Agro-Industrial Wastes from the Sugarcane Industry: A Mexican Case Study." Mathematics 10, no. 3 (2022): 437. http://dx.doi.org/10.3390/math10030437.

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This paper presents an optimization modeling approach to support strategic planning for designing hydrogen supply chain (HSC) networks. The energy source for hydrogen production is proposed to be electricity generated at Mexican sugar factories. This study considers the utilization of existing infrastructure in strategic areas of the country, which brings several advantages in terms of possible solutions. This study aims to evaluate the economic and environmental implications of using biomass wastes for energy generation, and its integration to the national energy grid, where the problem is ad

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Chen, Lili, Lingyun Sun, Chien-Ming Chen, Mu-En Wu, and Jimmy Ming-Tai Wu. "Stock Trading System Based on Machine Learning and Kelly Criterion in Internet of Things." Wireless Communications and Mobile Computing 2021 (December 3, 2021): 1–9. http://dx.doi.org/10.1155/2021/7632052.

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The evolution of the Internet of Things (IoT) has promoted the prevalence of the financial industry as a variety of stock prediction models have been able to accurately predict various IoT-based financial services. In practice, it is crucial to obtain relatively accurate stock trading signals. Considering various factors, finding profitable stock trading signals is very attractive to investors, but it is also not easy. In the past, researchers have been devoted to the study of trading signals. A genetic algorithm (GA) is often used to find the optimal solution. In this study, a long short-term

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Dutta, Pijush, and Asok Kumar. "Modelling of Liquid Flow control system Using Optimized Genetic Algorithm." Statistics, Optimization & Information Computing 8, no. 2 (2020): 565–82. http://dx.doi.org/10.19139/soic-2310-5070-618.

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Estimation of a highly accurate model for liquid flow process industry and control of the liquid flow rate from experimental data is an important task for engineers due to its non linear characteristics. Efficient optimization techniques are essential to accomplish this task.In most of the process control industry flowrate depends upon a multiple number of parameters like sensor output,pipe diameter, liquid conductivity ,liquid viscosity & liquid density etc.In traditional optimization technique its very time consuming for manually control the parameters to obtain the optimial flowrate fro

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Zhu, Min, Haoan Zhao, Qian Wang, Fanhua Wu, and Wei Cao. "A Novel Chinese Honey from Amorpha fruticosa L.: Nutritional Composition and Antioxidant Capacity In Vitro." Molecules 25, no. 21 (2020): 5211. http://dx.doi.org/10.3390/molecules25215211.

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False indigo (Amorpha fruticosa L., A. fruticosa) is the preferred tree indigenous for windbreak and sand control in Northwest China, while information on nutritional and bioactive characteristics of its honey is rare. Herein, 12 honey of Amorpha fruticosa L. (AFH) were sampled in Northwest China and the nutritional composition was determined. Sixteen mineral element and ten dominant polyphenols content were identified and quantified by ICP-MS (Inductively coupled plasma mass spectrometry) and HPLC-QTOF-MS (High performance liquid chromatography-Quadrupole time-of-flight mass spectrometry), re

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Wade, Gary L. "Georgia Center for Horticulture: A Statewide Network for Serving Urban Clientele and Environmental Horticulture Professionals." HortScience 32, no. 4 (1997): 591E—591. http://dx.doi.org/10.21273/hortsci.32.4.591e.

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A proposed Center for Horticulture within the College of Agricultural and Environmental Sciences of The University of Georgia will target both Environmental Horticulture professionals and homeowners. To be headquartered at the Georgia Experiment Station in Griffin, Ga., with satellite units in Atlanta, Athens, Tifton, and Savannah, the Center will utilize advanced communications technology in developing and delivering educational outreach programs for clientele. Distance learning via fiber optics telecommunications will be used to provide educational short courses and seminars to clientele acr

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Purba, Elida. "DETERMINATION OF REACTION KINETICS USING ONLINE X-RAY DIFFRACTION." Indonesian Journal of Chemistry 8, no. 3 (2010): 337–41. http://dx.doi.org/10.22146/ijc.21588.

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X-ray diffraction (XRD) is a powerful technique for the study of polymorphism and polymorphic phase transformations. Monitoring of phase transformation directly has been very limited to-date. The XRD system used in this study was used to determine the rate of transformation of pure glutamic acid a form to b form in a solution mediated phase. On every run starting from the pure a form, the transformation process was monitored continuously at fixed temperature, and separate experiments were performed as a function of temperature. The operating temperature was varied from 36 to 57 °C with 10% w/w

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Wu, Feng-Shang, and Chia-Chang Tsai. "A Framework of the Value Co-Creation Cycle in Platform Businesses: An Exploratory Case Study." Sustainability 14, no. 9 (2022): 5612. http://dx.doi.org/10.3390/su14095612.

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Platform businesses, linking producers and consumers, have emerged as a very important industry. Meanwhile, value co-creation has become one of the critical issues concerning the operation of platform enterprises and the focus of researchers in this area. Platform businesses usually need to strengthen the interactions between all participants to maximize the commercial value. However, the majority of the literature has concentrated on the “platform business–consumer” interaction only, i.e., both “platform business–producer” and “platform producer–consumer” interactions have been almost complet

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Azizi, Aydin. "Introducing a Novel Hybrid Artificial Intelligence Algorithm to Optimize Network of Industrial Applications in Modern Manufacturing." Complexity 2017 (2017): 1–18. http://dx.doi.org/10.1155/2017/8728209.

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Recent advances in modern manufacturing industries have created a great need to track and identify objects and parts by obtaining real-time information. One of the main technologies which has been utilized for this need is the Radio Frequency Identification (RFID) system. As a result of adopting this technology to the manufacturing industry environment, RFID Network Planning (RNP) has become a challenge. Mainly RNP deals with calculating the number and position of antennas which should be deployed in the RFID network to achieve full coverage of the tags that need to be read. The ultimate goal

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Warrier, Preeti, and Pritesh Shah. "Optimal Fractional PID Controller for Buck Converter Using Cohort Intelligent Algorithm." Applied System Innovation 4, no. 3 (2021): 50. http://dx.doi.org/10.3390/asi4030050.

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The control of power converters is difficult due to their non-linear nature and, hence, the quest for smart and efficient controllers is continuous and ongoing. Fractional-order controllers have demonstrated superior performance in power electronic systems in recent years. However, it is a challenge to attain optimal parameters of the fractional-order controller for such types of systems. This article describes the optimal design of a fractional order PID (FOPID) controller for a buck converter using the cohort intelligence (CI) optimization approach. The CI is an artificial intelligence-based

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Baiocco, Daniele, and Zhibing Zhang. "Microplastic-Free Microcapsules to Encapsulate Health-Promoting Limonene Oil." Molecules 27, no. 21 (2022): 7215. http://dx.doi.org/10.3390/molecules27217215.

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Fast-moving consumer goods (FMCG) industry has long included many appealing essential oils in products to meet consumers’ needs. Among all, the demand for limonene (LM) has recently surged due to its broad-spectrum health benefits, with applications in cosmetic, detergent, and food products. However, LM is extremely volatile, hence has often been encapsulated for a longer shelf-life. To date, mostly non-biodegradable synthetic polymers have been exploited to fabricate the microcapsule shells, and the resulting microcapsules contribute to the accumulation of microplastic in the environment. So

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Cho, Kyung Won. "A Study on new Insurance Distribution Channel’s Right to Receive the Duty of Disclosure and Legal Issues: Focusing on AI (Artificial Intelligence) Insurance Solicitors and Insurance Companies Specializing in Insurance Product Sales." Korean Insurance Law Association 16, no. 2 (2022): 3–46. http://dx.doi.org/10.36248/kdps.2022.16.2.003.

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The insurance industry has undergone many changes due to the era of the 4th industrial revolution, which interconnects our digital and real worlds. Advances in big data have cleared the path for insurers to acquire the material information of the insured. New methods of collecting information about individual customers cause a need to reevaluate responsibilities and rights of both parties. In the current industry, the manufacturing and sales of insurance products is separate; the insurance company is in charge of the manufacturing of insurance products, and sales companies were established exc

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Ibrahim, Alasmer, Fatih Anayi, Michael Packianather, and Osama Ahmad Alomari. "New Hybrid Invasive Weed Optimization and Machine Learning Approach for Fault Detection." Energies 15, no. 4 (2022): 1488. http://dx.doi.org/10.3390/en15041488.

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Fault diagnosis of induction motor anomalies is vital for achieving industry safety. This paper proposes a new hybrid Machine Learning methodology for induction-motor fault detection. Some of the motor parameters such as the stator currents and vibration signals provide a great deal of information about the motor’s conditions. Therefore, these signals of the motor were selected to test the proposed model. The induction motor was assessed in a laboratory under healthy, mechanical, and electrical faults with different loadings. In this study a new hybrid model was developed using the collected s

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Barozzi, Marco, Sabrina Copelli, Martina Silvia Scotton, and Vincenzo Torretta. "Application of an Enhanced Version of Recursive Operability Analysis for Combustible Dusts Risk Assessment." International Journal of Environmental Research and Public Health 17, no. 9 (2020): 3078. http://dx.doi.org/10.3390/ijerph17093078.

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Organic dust explosions were and are still today a critical issue in the food, pharmaceutical, and fine chemical industry. Materials such as flour, corn starch, sugar and APIs represent a cause of severe accidents. In this framework, we investigated a modified version of Recursive Operability Analysis−Incidental Sequence Diagrams (ROA–ISD), called ROA Plus−ISD, specifically tailored to describe industrial processes involving organic combustible dusts. Compared to more classical techniques such as Hazard and Operability (HazOp), ROA−ISD allows for a direct generation of fault trees, providing a

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Baeza, J. Antonio, and Donald C. Behringer. "Integrative taxonomy of the ornamental ‘peppermint’ shrimp public market and population genetics ofLysmata boggessi, the most heavily traded species worldwide." PeerJ 5 (September 18, 2017): e3786. http://dx.doi.org/10.7717/peerj.3786.

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The ornamental trade is a worldwide industry worth >15 billion USD with a problem of rampant product misidentification. Minimizing misidentification is critical in the face of overexploitation of species in the trade. We surveyed the peppermint shrimp ornamental marketplace in the southeastern USA, the most intense market for peppermint shrimps worldwide, to characterize the composition of species in the trade, reveal the extent of misidentification, and describe the population genetics of the true target species. Shrimps were bought from aquarium shops in FL, GA, SC, and NC. We demonstrate

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Warner, David. "Shale gas in Australia: a great opportunity comes with significant challenges." APPEA Journal 53, no. 2 (2013): 476. http://dx.doi.org/10.1071/aj12087.

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Australia could have shale gas resources several times bigger than the existing conventional gas resource base, which is estimated at about 5,300 BCM (190 TCF) by Geoscience Australia (GA). The Australian Government has no estimate of potential shale gas resources. The US Department of Energy (EIA) in 2011 estimated Australian shale gas resources to be 400 TCF. The quantity of this estimate is supported by an Australian study—which estimates resources of 600 TCF—conducted by Advanced Well Technologies (AWT) in conjunction with DSWPET. While there are significant technical differences between t

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Zhou, Yixin, and Zhen Guo. "Research on Intelligent Solution of Service Industry Supply Chain Network Optimization Based on Genetic Algorithm." Journal of Healthcare Engineering 2021 (August 19, 2021): 1–6. http://dx.doi.org/10.1155/2021/9429872.

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With the advent of the era of big data (BD), people’’s living standards and lifestyle have been greatly changed, and people’s requirements for the service level of the service industry are becoming higher and higher. The personalized needs of customers and private customization have become the hot issues of current research. The service industry is the core enterprise of the service industry. Optimizing the service industry supply network and reasonably allocating the tasks are the focus of the research at home and abroad. Under the background of BD, this paper takes the optimization of servic

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Florea, Adrian, Anca Sipos, and Melisa-Cristina Stoisor. "Applying AI Tools for Modeling, Predicting and Managing the White Wine Fermentation Process." Fermentation 8, no. 4 (2022): 137. http://dx.doi.org/10.3390/fermentation8040137.

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This paper reveals two of the challenges faced by Romania and proposes a sustainable and simple solution for its wine industry. First, substantial areas with vineyards that may produce qualitative wine, and second, the very low digitalization rate of industrial sectors. More precisely, this work proposes a solution for digitalizing the fermentation process of white wine, allowing it to be adapted for other control techniques (i.e., knowledge-based systems, intelligent control). Our method consists of implementing a pre-trained multi-layer perceptron neural network, using genetic algorithms cap

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Azmi, Nora, Irawadi Jamaran, Yandra Arkeman, and Djumali Mangunwidjaja. "PENJADWALAN PESANAN MENGGUNAKAN ALGORITMA GENETIKA UNTUK TIPE PRODUKSI HYBRID AND FLEXIBLE FLOWSHOP PADA INDUSTRI KEMASAN KARTON." JURNAL TEKNIK INDUSTRI 2, no. 2 (2012): 176–88. http://dx.doi.org/10.25105/jti.v2i2.7028.

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This research was intended to produce an order (job) scheduling model at Carton Packaging Industries (CPI) that is useful for giving information about the time delivery to customers. The proposed model is quite complicated because of the characteristic of Make to Order (MTO) varies production process greatly between each order. The job’s schedule for CPI is prepared for production process that consists of 5 stages where in each stage uses different type of machinery. Not all jobs can be processed by all machines at a given production stage. Every job flow through 5 stage in the same order, but

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Hirota, Toshio Fukudand Kaoru. "Message from Editors-in-Chief." Journal of Advanced Computational Intelligence and Intelligent Informatics 1, no. 1 (1997): 0. http://dx.doi.org/10.20965/jaciii.1997.p0000.

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We are very pleased and honored to have an opportunity to publish a new journal the "International Journal of Advanced Computational Intelligence" (JACI). The JACI is a new, bimonthly journal covering the field of computer science. This journal focuses on advanced computational intelligence, including the synergetic integration of neural networks, fuzzy logic and evolutionary computations, in order to assist in fostering the application of intelligent systems to industry. This new field is called computational intelligence or soft computing. It has already been studied by many researchers, but

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Mufarrih, AM, Moh Nasir Hariyanto, and Nanang Qosim. "Analisa Kekasaran Permukaan Titanium Grade 2 pada Proses Frais." Jurnal Pendidikan Teknik Mesin Undiksha 8, no. 2 (2020): 53. http://dx.doi.org/10.23887/jptm.v8i2.27766.

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Titanium Grade 2 termasuk jenis bahan yang sering dipergunakan di industri, utamanya pada bahan untuk implan biomedis. Titanium Grade 2 mempunyai sifat perbandingan kekakuan terhadap berat yang baik, tahan terhadap korosi dan memiliki sifat biokompatibel yang baik di dalam tubuh. Namun memiliki konduktifitas panas yang rendah, sehingga perlu memilih perameter pemesinan yang tepat untuk menghasilkan nilai kekasaran permukaan yang baik. Penelitian ini bertujuan untuk mengetahui karakteristik Titanium Grade 2 yaitu kekasaran permukaan hasil pemesinan frais. Desain penelitian menggunakan metode Ta

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Wu, Zhijiang, and Guofeng Ma. "Automatic generation of BIM-based construction schedule: combining an ontology constraint rule and a genetic algorithm." Engineering, Construction and Architectural Management, August 16, 2022. http://dx.doi.org/10.1108/ecam-12-2021-1105.

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PurposeThe purpose of this study is to automatically generate a construction schedule by extracting data from the BIM (Building Information Modeling) model and combining an ontology constraint rule and a genetic algorithm (GA).Design/methodology/approachThis study developed a feasible multi-phase framework to generate the construction schedule automatically through extracting information from the BIM, utilizing the ontology constraint rule to demonstrate the relationships between all the components and finally using the GA to generate the construction schedule.FindingsTo present the functional

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Bryant, Katja, Alexis Thomas, Kelli Brennan, et al. "Abstract TMP75: The Georgia Stroke Professional Alliance (GA-SPA) - a Six Year Review, of a Collaborate, State-wide Stroke Professional Network, Reaching Across State-lines and the Nation to Improve Stroke Care, Professional Education, and Community Outreach." Stroke 47, suppl_1 (2016). http://dx.doi.org/10.1161/str.47.suppl_1.tmp75.

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Background: In 2009, the Georgia Stroke Professional Alliance (GA-SPA) was established. GA-SPA success has been marked by unsurpassed transparency and collaboration among the members and their partners. GA-SPA continues to make professional stroke education and community outreach as one of their greatest priorities. A focus and commitment to improvements of stroke care is an underpinning for sustained success. Purpose: To expand the state-wide collaboration of health care professionals committed to improving the quality of stroke care and stroke education throughout the region. Methods: GA-SPA

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Богоявленский, А., A. Bogoyavlenskiy, А. Боков, and A. Bokov. "Certification software special SI air transport." World of measurement, November 25, 2012, 14–22. http://dx.doi.org/10.35400/1813-8667-2012-11-14-22.

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In order to implement the provisions of the Federal law No. 102-FZ and the regulations of the state system of ensuring the unity of measurements on the basis of the metrological service in the Federal state unitary Enterprise GosNII GA test laboratory software SI and information and measurement systems (IIS). In terms of software testing, the scope of authority of the laboratory includes algorithms and software (standalone and embedded) MI and IIS used in air transport and in the aviation industry. The article describes the main tasks solved by the laboratory in the process of certificat

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Kang, He-Yau, Amy H. I. Lee, and Yu-Fan Yeh. "An optimization approach for traveling purchaser problem with environmental impact of transportation cost." Kybernetes ahead-of-print, ahead-of-print (2020). http://dx.doi.org/10.1108/k-04-2020-0237.

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Purpose The traveling purchaser problem (TPP) has gained attention in academics to deal with different variants in real business world. This study aims to study a green TPP with quantity discounts and soft time windows (TPPQS), in which a firm needs to purchase products from a set of available markets and deliver the products to a set of customers. Design/methodology/approach Vehicles are available to visit the markets, which offer products at different prices and with different quantity discount schemes. Soft time windows are present for the markets and the customers, and earliness cost and t

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Bodaghi, Asadollah, Hamid Reza Ansari, and Mahsa Gholami. "Optimized support vector regression for drilling rate of penetration estimation." Open Geosciences 7, no. 1 (2015). http://dx.doi.org/10.1515/geo-2015-0054.

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Abstract In the petroleum industry, drilling optimization involves the selection of operating conditions for achieving the desired depth with the minimum expenditure while requirements of personal safety, environment protection, adequate information of penetrated formations and productivity are fulfilled. Since drilling optimization is highly dependent on the rate of penetration (ROP), estimation of this parameter is of great importance during well planning. In this research, a novel approach called ‘optimized support vector regression’ is employed for making a formulation between input variab

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Hirunyawanakul, Anusara, Nuntawut Kaoungku, Nittaya Kerdprasop, and Kittisak Kerdprasop. "Feature Selection to Improve Performance of Yield Prediction in Hard Disk Drive Manufacturing." International Journal of Electrical and Electronic Engineering & Telecommunications, 2020, 420–28. http://dx.doi.org/10.18178/ijeetc.9.6.420-428.

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Hard Disk Drive (HDD) manufacturing is one real-world application area that machine learning has been extensively adopted for problem solving. However, most problem solving activities in HDD industry tackle on failure root-cause analysis task. Machine learning is rarely applied in a task of yield prediction. This research presents the application of machine learning and statistical techniques to select appropriate features to be used in yield prediction for the HDD manufacturing process. The seven well-known algorithms are used in the feature selection step. These algorithms are decision tree

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"Optimization Algorithm in Supply Chain Management." International Journal of Innovative Technology and Exploring Engineering 8, no. 12 (2019): 5072–79. http://dx.doi.org/10.35940/ijitee.l2724.1081219.

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Optimization in the field of Operations Research has applications in various industries, be it medicine, business, analytics or education. Likewise Supply Chain Management (SCM) is required in every industry and with the need comes various challenges to get the optimized and best quality solution. There are stochastic, analytical models working on attaining optimization in various sub events involved in SCM. Supply Chain is a network at global level used for delivering of products and services from unprocessed materials to consumers through well-structured and planned flow of information, phys

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