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Journal articles on the topic 'Construction output'

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Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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1

Haugbølle, Kim, Jacob Norvig Larsen, and Jørgen Nielsen. "Construction productivity revisited: towards measuring performance of construction output." Engineering, Construction and Architectural Management 26, no. 5 (June 17, 2019): 794–813. http://dx.doi.org/10.1108/ecam-03-2018-0094.

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Purpose Construction is repeatedly criticised for its low productivity based on statistical data that do not represent the output of construction adequately. The purpose of this paper is to improve the understanding of construction output – being the numerator in construction productivity calculations – by focussing on changes in quantity of the products, product characteristics and composition of the aggregate rather than as changes in price. Design/methodology/approach The research design of this study applies statistical data from the national accounts along with data from four paradigmatic case studies of social housing projects covering a period of 50 years. Findings The results indicate that while construction output prices have increased threefold over the past 50 years, improvements in performance can only explain approximately 20 per cent. Research limitations/implications The developed four-step method has demonstrated its value as a means to measure changes in the characteristics of the product, but more studies on the actual figures and results over time and regions are required before solid conclusions can be drawn. Social implications This study has added new knowledge of construction output that supports the development of a more accurate construction statistics, which in turn can assist the design of more effective and evidence-based policies for improving construction productivity. Originality/value This paper describes and demonstrates a novel performance-based methodology for addressing changes in the characteristics of the products in a longitudinally perspective, which can potentially provide a better understanding of changes in productivity.

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2

Ma, Le, Richard Reed, and Xiaohua Jin. "Identify the equilibrium of residential construction output." Engineering, Construction and Architectural Management 25, no. 1 (February 19, 2018): 21–38. http://dx.doi.org/10.1108/ecam-06-2016-0148.

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Purpose Due to the complicated nature of houses, the driving factors of the residential construction output can be investigated from different perspectives of interests. However, little research has provided an insight of the trend of the residential construction output from a cross-disciplinary perspective. The purpose of this paper is to identify the long-run equilibrium types of residential construction output, including external equilibrium, solo-market equilibrium and dual-market equilibrium. Design/methodology/approach A vector error correction model is applied into longitudinal data in the eight Australian states and territories to overview the regional variations of the residential construction output. Findings The empirical results show that the equilibrium of regional residential construction outputs in New South Wales and Victoria are determined by the external factors; the equilibrium in Western Australia is dominated by the construction market; and the equilibriums in the other five states and territories are influenced by both construction and house markets. Research limitations/implications The simplified approach may overlook the detailed explanation of the external factors, such as regional population, economy, policy and so forth. Given this limitation, future studies can introduce the correspondingly variables as per research interests. Originality/value Implementing the existing research into residential construction output and house supply, this research provides a simplified approach that demonstrates the linkage between construction and real estate sectors to identify the long-run equilibriums across regions. The underlying research sheds light in delivering inter-disciplinary research into the residential construction output.

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3

MA, Le, Chunlu LIU, and Richard REED. "THE IMPACTS OF RESIDENTIAL CONSTRUCTION AND PROPERTY PRICES ON RESIDENTIAL CONSTRUCTION OUTPUTS: AN INTER-MARKET EQUILIBRIUM APPROACH." International Journal of Strategic Property Management 21, no. 3 (July 11, 2017): 296–306. http://dx.doi.org/10.3846/1648715x.2016.1255675.

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Research into the links between construction output and broader economic development has provided valuable references for inducing theoretical, empirical and policy implications. However, the impact of the construction and property markets on the construction output have not been fully addressed yet. This research argues an inter-market equilibrium between residential construction output and the related markets in terms of construction and property prices. Implementing the panel error correction model, longitudinal data of Australian capital cities is used to identify the inter-market equilibrium and associated dynamic patterns across the observed cities. Subsequently, by comparing the simulated and actual residential construction outputs, the estimated findings are evaluated. The inter-market equilibriums in the Australian capital cities appeared in geographic-spatial clusters while the economy-scale-spatial clusters were observed in dynamic patterns.

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4

Oshodi, Olalekan, David J. Edwards, Ka Chi lam, Ayokunle Olubunmi Olanipekun, and Clinton Ohis Aigbavboa. "Construction output modelling: a systematic review." Engineering, Construction and Architectural Management 27, no. 10 (May 15, 2020): 2959–91. http://dx.doi.org/10.1108/ecam-03-2019-0150.

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PurposeConstruction economics scholars have emphasised the importance of construction output forecasting and have called for increased investment in infrastructure projects due to the positive relationship between construction output and economic growth. However, construction output tends to fluctuate over time. Excessive changes in the volume of construction output have a negative impact upon the construction sector, such as liquidation of construction companies and job losses. Information gleaned from extant literature suggests that fluctuation in construction output is a global problem. Evidence indicates that modelling of construction output provides information for understanding the factors responsible for these changes.MethodologyAn interpretivist epistemological lens is adopted to conduct a systematic review of published studies on modelling of construction output. A thematic analysis is then presented, and the trends and gaps in current knowledge are highlighted.FindingsIt is observed that interest rate is the most common determinant of construction output. Also revealed is that very little is known about the underlying factors stimulating growth in the volume of investment in maintenance construction works. Further work is required to investigate the efficacy of using non-linear techniques for construction output modelling.OriginalityThis study provides a contemporary mapping of existing knowledge relating to construction output and provides insights into gaps in current understanding that can be explored by future researchers.

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5

Bröchner, Jan. "Measuring Construction: Prices, Output and Productivity." Construction Economics and Building 15, no. 3 (August 31, 2015): 98–99. http://dx.doi.org/10.5130/ajceb.v15i3.4613.

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Best, R. and Meikle, J. (eds), 2015. Measuring Construction: Prices, Output and Productivity. Routledge, London. 262 pp. ISBN (hbk): 978-0-415-65937-6, ISBN (ebk): 978-1-315-88292-5. Hardback: US$155.00, GBP 95.00.

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6

Doraiswamy, H., and V. Natarajan. "Output-Sensitive Construction of Reeb Graphs." IEEE Transactions on Visualization and Computer Graphics 18, no. 1 (January 2012): 146–59. http://dx.doi.org/10.1109/tvcg.2011.37.

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7

Vogl, Bernard. "Measuring Construction: Prices, Output and Productivity." Construction Management and Economics 33, no. 9 (September 2, 2015): 775–77. http://dx.doi.org/10.1080/01446193.2015.1090616.

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8

Liu, Chunlu, and Shimeng He. "Input–output structures of the Australian construction industry." Construction Economics and Building 16, no. 2 (June 13, 2016): 56–70. http://dx.doi.org/10.5130/ajceb.v16i2.4819.

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The Australian construction industry continues to play an important role in the national economy. Analysis using input–output tables makes it possible to understand the role of the construction industry in Australia’s economy and its relationships to other major industries over years. This study applies several economic indicators to investigate the construction industry’s contributions to gross national product and gross national income, as well as its backward and forward linkage indicators, and its output and input multipliers. The paper also investigates the purchases of goods and services by the construction industry from other sectors and its sales to other industries over the analysis period. Findings from this research may help policymakers to better understand the economic linkages between the construction industry and other major industries, and the structural changes in its inputs and outputs in relation to these others.

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9

Nolan, Brian. "Theoretical and computational considerations of linking constructions in Role and Reference Grammar." Review of Cognitive Linguistics 12, no. 2 (October 31, 2014): 410–42. http://dx.doi.org/10.1075/rcl.12.2.06nol.

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This paper proposes a view of the linguistic construction in Role and Reference Grammar (RRG) in which constructions are posited to be structured grammatical objects with a unique constructional signature that uniquely identifies them. We argue that the construction has an input and an output, and that it contains a local workspace in which the processing of the various lexical and grammatical rules applies, according to the constraints within the constructional object. In recent years there has been a growing recognition that the RRG account of constructions is an under-utilised resource that deserves a wider application to problems in cross-linguistic analysis (Nolan & Diedrichsen, 2013; Nolan & Periñán, 2014). As a functional grammar with strong claims of adequacy, RRG has however had several challenges from Construction Grammar (Butler & Martín Arista, 2009; Goldberg, 2006; Michaelis, 2006, 2010). This paper addresses a number of these challenges. In the view of constructions presented here, the linking over the syntactic, semantic and pragmatic interfaces resides in the body of the construction, and the construction interacts with the lexicon which provides lexical information relevant to the construction. The constructions reside in a construction repository. This model of constructions delivers a means to address the challenges posed to the RRG account of the role and place of constructions within a lexicalist functionalist model of grammar.

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10

Liu, Chunlu, and Ruixue Zhu. "Measuring output structures of multinational construction industries using the World Input‒Output Database." International Journal of Construction Management 17, no. 1 (April 19, 2016): 1–12. http://dx.doi.org/10.1080/15623599.2016.1166547.

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11

FURUKAWA, Shunichi. "Construction of National Input-Output Tables and Agricultural Input-Output Tables in Thailand." Input-Output Analysis 15, no. 2 (2007): 17–24. http://dx.doi.org/10.11107/papaios.15.17.

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12

Ezra, Esther, and Micha Sharir. "Output-Sensitive Construction of the Union of Triangles." SIAM Journal on Computing 34, no. 6 (January 2005): 1331–51. http://dx.doi.org/10.1137/s0097539704444245.

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13

Wu, Xing, and Zhihui Zhang. "Input–output analysis of the Chinese construction sector." Construction Management and Economics 23, no. 9 (November 2005): 905–12. http://dx.doi.org/10.1080/01446190500183974.

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14

Kofoworola, Oyeshola Femi, and Shabbir Gheewala. "An input–output analysis of Thailand's construction sector." Construction Management and Economics 26, no. 11 (November 2008): 1227–40. http://dx.doi.org/10.1080/01446190802425560.

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15

Emel'yanov, S. V., S. K. Korovin, and S. V. Nikitin. "Nonlinear systems: Construction of observers and output differentiators." Computational Mathematics and Modeling 3, no. 4 (1992): 353–62. http://dx.doi.org/10.1007/bf01133062.

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16

Huang, Rong Yau, Li Hsu Yeh, Hao Hsien Chen, Jyh Dong Lin, Ping Fu Chen, Po Hsun Sung, and Jyh Tyng Yau. "Estimation of Construction Waste Generation and Management in Taiwan." Advanced Materials Research 243-249 (May 2011): 6292–95. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.6292.

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This study examines construction waste generation and management in Taiwan. We verify the factors probable affecting the output of construction wastes by using data for the output of declared construction wastes produced from demolition projects in Taiwan in the last year, expert interviews, and research achievements in the past, and find “ on-site separation” is the factor with effects on the output of construction wastes via cross-correlation by algorithms such as K-Means and Decision Tree C5.0. It can be seen that the output (0.092(t/M3) with on-site separation or 0.329(t/M3) without on-site separation is highly correlated with the composition ratio of construction wastes and referred to as a valid conclusion.

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17

Achmad, M. S. Hendriyawan, Mohd Razali Daud, Dwi Pebrianti, and Saifudin Razali. "Laser-Inertial Aided 3D Scanner Using Geometric Invariant for Terrain Construction." Applied Mechanics and Materials 799-800 (October 2015): 957–63. http://dx.doi.org/10.4028/www.scientific.net/amm.799-800.957.

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Researchers in robotic vision technology are facing larger challenges, where the 2D technology has flaws in complex robot navigation in 3D space. Using 3D scanner, the robot is able to get a more detailed terrain construction, making it easier to carry out its tasks. The 3D image is obtained by fusing the Hokuyo URG-04LX and the 6-DOF IMU that consists of acceleration sensor and gyro sensor. IMU sensor outputs are the angle, speed, and position in 3D. Nevertheless, just the value of the angle is used in this study to construct 3D images based on geometric invariant. To reduce the interference in the sensor output, two types of filter are applied; the Gaussian filter used on the output of 2D LRF, while the complementary filter is applied to the output of the IMU sensor. Angle measurement plays an important role in term of geometric invariant for terrain construction. The complementary filter has provided the best angle measurement results with the lowest error on time constant (τ) = 0.475s and sampling time (dt) = 10ms. Thus, the proposed systems have successfully made an obvious 3D image of the terrain in the indoor testing.

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18

Ziegeler, Debra. "Grammaticalisation through constructions." Annual Review of Cognitive Linguistics 2 (December 31, 2004): 159–95. http://dx.doi.org/10.1075/arcl.2.06zie.

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Recent arguments by Langacker (2003) on the nature of verb meanings in constructions claim that such meanings are created by entrenchment and frequency of use, and only with repeated use can they become conventionalised and acceptable. Such a position raises the need for a diachronic perspective on Construction Grammar. The present paper investigates the evolution of constructions through the example of thehave-causative in English, which appears to have had its origins as a transfer verb in telic argument structure constructions. When the construction contains a transfer verb, construction meaning reinforces verb meaning and periphrastic causatives may grammaticalise as output; this is a gradual development over time. In one way, then, the verbhavegrammaticalises across a succession of constructions, but in another, the telic argument structure construction itself is seen to have a progressive diachronic development.

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19

Kondo, Nobuhiko, Toshiharu Hatanaka, and Katsuji Uosaki. "RBF Networks Ensemble Construction based on Evolutionary Multi-objective Optimization." Journal of Advanced Computational Intelligence and Intelligent Informatics 12, no. 3 (May 20, 2008): 297–303. http://dx.doi.org/10.20965/jaciii.2008.p0297.

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The ensemble learning has attracted much attention over the last decade. While constructing RBF network ensemble the generally encountered problems are how to construct diverse RBF networks and how to combine outputs. The construction of RBF network can be considered as a multi-objective optimization problem regarding model complexity. A set of RBF networks which is multi-objectively optimized can be obtained by solving the above-mentioned problem. In this paper the construction of RBF networks by evolutionary multi-objective optimization method and its ensemble are considered, and it is applied to the pattern classification problem. Also some ensemble member selection methods and output combination methods are considered. Experimental study on the benchmark problem of pattern classification is carried out; then it is illustrated that the RBF network ensemble has a performance, which is comparable to that of other ensemble methods.

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20

Liu, O. Chunlu, Yu Song, and Yoshito Itoh. "An Input-output Table Perspective on Measuring Construction Productivity." Journal of Construction Management, JSCE 11 (2004): 397–408. http://dx.doi.org/10.2208/procm.11.397.

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21

Kronenberg, Tobias. "Construction of Regional Input-Output Tables Using Nonsurvey Methods." International Regional Science Review 32, no. 1 (January 2009): 40–64. http://dx.doi.org/10.1177/0160017608322555.

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22

Du, Dajun, Kang Li, and Minrui Fei. "A fast multi-output RBF neural network construction method." Neurocomputing 73, no. 10-12 (June 2010): 2196–202. http://dx.doi.org/10.1016/j.neucom.2010.01.014.

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23

Chetverikov, V. N. "Construction of Invertible Input-Output Mappings and Parameter Identification." Differential Equations 54, no. 11 (November 2018): 1524–34. http://dx.doi.org/10.1134/s0012266118110137.

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24

Akintoye, Akintola, and James Sommerville. "Distributed lag relationships between UK construction orders and output." Construction Management and Economics 13, no. 1 (January 1995): 33–42. http://dx.doi.org/10.1080/01446199500000005.

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25

Har\dharson, Ómar S., and Einar Örn Hreinsson. "The construction of Minor Statistical Output Areas in Iceland." Statistical Journal of the IAOS 37, no. 2 (June 3, 2021): 663–72. http://dx.doi.org/10.3233/sji-200775.

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This paper describes the construction of Minor Statistical Output Areas (MSOAs) in Iceland in preparation for the 2021 Population and Housing Census. It explains how these areas were generated by a partitioning algorithm in the densely populated areas, using pre-existing planning zones as the building blocks or source zones. Approximately a fifth of the MSOAs were constructed manually in the sparsely populated areas by grouping together smaller municipalities and splitting larger localities from the surrounding rural areas.

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26

Zbranek, Jaroslav. "Construction of Symmetric Input-Output Tables Per Hour Worked: Methodological Issues and Approaches." Acta Oeconomica Pragensia 20, no. 4 (August 1, 2012): 62–73. http://dx.doi.org/10.18267/j.aop.375.

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27

Liu, Rui Jie, and Zhi Hui Zhang. "Situation and Forecast of Construction Sector’s Carbon Emission." Applied Mechanics and Materials 178-181 (May 2012): 718–21. http://dx.doi.org/10.4028/www.scientific.net/amm.178-181.718.

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In order to describe the carbon emission situation of Chinese construction sector, this paper calculates the construction sector’s carbon emission and its efficiency of year 1994~2008 based on its energy consumption and economic output. And then the error correction model between the carbon emission and the output of the construction sector is established to predict carbon emission, with the effectiveness of the model proved. Using the error correction model, the long-term and short-term resilience of carbon emission is calculated, which indicates the main driving force of construction sector’s carbon emission is the overall output of construction sector.

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28

Li, Hong Bo, and Ke Bin Zhang. "The Input-Output Analysis of Construction Industry in West China." Applied Mechanics and Materials 584-586 (July 2014): 2353–58. http://dx.doi.org/10.4028/www.scientific.net/amm.584-586.2353.

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In order to objectively evaluate the input-output efficiency of the construction industry in the western region, this passage analyzes the input and output status of each construction areas in the west in 2012 by establishing DEA model , and in compare with the national average. Results showed that: in 2012, the input-output efficiency of construction, the highest values in the western region is Guangxi Province, the lowest in Tibet, and the overall efficiency of the majority of the western region higher than the national average, Finally, the passage pointed out the insufficiencies about input-output of construction industry development in some western areas, and propose recommendations for improvement.

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29

MIYAGI, Toshihiko, Yoshifumi ISHIKAWA, Shohei YURI, and Kazuyuki TSUCHIYA. "The Construction of Interregional Input-Output Table at Prefecture Level Using Intraregional Input-Output Tables." INFRASTRUCTURE PLANNING REVIEW 20 (2003): 87–95. http://dx.doi.org/10.2208/journalip.20.87.

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30

Hua, Rui. "Impact Analysis of Heilongjiang Province Highway Construction Investment on Regional Economy." Applied Mechanics and Materials 295-298 (February 2013): 2505–9. http://dx.doi.org/10.4028/www.scientific.net/amm.295-298.2505.

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The rapid construction of highway in Heilongjiang Province greatly promoted the development of region economy, but on specific question of degree, most research focus on the qualitative research, rare quantitative research. The paper uses the input output method to put the highway construction industry into traditional U-V table and calculate highway construction investment on regional economic gross effect, which has important application value on evaluation and decision-making of transportation after constructing highway.

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31

An, Shi Qi. "Construction Machinery Intelligent Monitor." Applied Mechanics and Materials 668-669 (October 2014): 903–6. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.903.

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This paper introduced principle and function of construction machinery intelligent monitor. The STM32 microcontroller-centered, through to installation in construction machinery such as bulldozers, tractors, loader various sensor output signals on real-time acquisition, data processing and records to achieve work condition monitoring of construction machinery. Also monitor implementation methods are described in detail.

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32

Maji, Ibrahim Kabiru, and Mohd Yusof Saari. "Renewable Energy Consumption and Sectoral Based Output." International Journal of Finance Research 2, no. 3 (September 21, 2021): 143–53. http://dx.doi.org/10.47747/ijfr.v2i3.339.

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The study explores the effect of renewable energy consumption on sectoral output in the presence of government effectiveness. A regressions method was used to analyze data from 1989 to 2019. The result revealed evidence of the positive and vital impact of renewable energy consumption on the sectoral output of the manufacturing and construction sectors. Although the elasticity of government effectiveness is neutral, trade openness has revealed evidence of positive and significant impact on sectoral outputs. However, population growth does not have a favourable impact on sectoral outputs. Furthermore, renewable energy consumption is not essential in determining the agricultural sector, transportation sector and other sectors. To quickly diversify the economy, policymakers should further increase awareness and provide more incentives for renewable energy in these sectors

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33

Jiang, Zijing, and Qun Ding. "Construction of an S-Box Based on Chaotic and Bent Functions." Symmetry 13, no. 4 (April 13, 2021): 671. http://dx.doi.org/10.3390/sym13040671.

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An S-box is the most important part of a symmetric encryption algorithm. Various schemes are put forward by using chaos theory. In this paper, a construction method of S-boxes with good cryptographic properties is proposed. The output of an S-box can be regarded as a group of Boolean functions. Therefore, we can use the different properties of chaos and Bent functions to generate a random Bent function with a high nonlinearity. By constructing a set of Bent functions as the output of an S-box, we can create an S-box with good cryptological properties. The nonlinearity, differential uniformity, strict avalanche criterion and the independence criterion of output bits are then analyzed and tested. A security analysis shows that the proposed S-box has excellent cryptographic properties.

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34

Zbranek, Jaroslav, and Jakub Fischer. "Construction of the Time Input-Output Tables under Conditions of the Czech Republic." Politická ekonomie 62, no. 6 (December 1, 2014): 769–84. http://dx.doi.org/10.18267/j.polek.981.

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35

Lam, Ka Chi, and Olalekan Shamsideen Oshodi. "Forecasting construction output: a comparison of artificial neural network and Box-Jenkins model." Engineering, Construction and Architectural Management 23, no. 3 (May 16, 2016): 302–22. http://dx.doi.org/10.1108/ecam-05-2015-0080.

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Purpose – Fluctuations in construction output has an adverse effect on the construction industry and the economy due to its strong linkage. Developing reliable and accurate predictive models is vital to implementing effective response strategies to mitigate the impact of such fluctuations. The purpose of this paper is to compare the accuracy of two univariate forecast models, i.e. Box-Jenkins (autoregressive integrated moving average (ARIMA)) and Neural Network Autoregressive (NNAR). Design/methodology/approach – Four quarterly time-series data on the construction output of Hong Kong were collected (1983Q1-2014Q4). The collected data were divided into two parts. The first part was fitted to the model, while the other was used to evaluate the predictive accuracy of the developed models. Findings – The NNAR model can provide reliable and accurate forecast of total, private and “others” construction output for the medium term. In addition, the NNAR model outperforms the ARIMA model, in terms of accuracy. Research limitations/implications – The applicability of the NNAR model to the construction industry of other countries could be further explored. The main limitation of artificial intelligence models is the lack of explanatory capability. Practical implications – The NNAR model could be used as a tool for accurately predicting future patterns in construction output. This is vital for the sustained growth of the construction industry and the economy. Originality/value – This is the first study to apply the NNAR model to construction output forecasting research.

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36

Valiant, Leslie G. "The Hippocampus as a Stable Memory Allocator for Cortex." Neural Computation 24, no. 11 (November 2012): 2873–99. http://dx.doi.org/10.1162/neco_a_00357.

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It is suggested here that mammalian hippocampus serves as an allocator of neurons in cortex for memorizing new items. A construction of a shallow feedforward network with biologically plausible parameters is given that possesses the characteristics needed for such an allocator. In particular, the construction is stabilizing in that for inputs within a range of activity levels spanning more than an order of magnitude, the output will have activity levels differing as little as 1%. It is also noise tolerant in that pairs of input patterns that differ little will generate output patterns that differ little. Further, pairs of inputs that differ by much will be mapped to outputs that also differ sufficiently that they can be treated by cortex as distinct.

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37

Zhu, Shufan, Kefan Xie, and Ping Gui. "Dynamic Adjustment Mechanism and Differential Game Model Construction of Mask Emergency Supply Chain Cooperation Based on COVID-19 Outbreak." Sustainability 13, no. 3 (January 21, 2021): 1115. http://dx.doi.org/10.3390/su13031115.

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Incorporating the impact of the COVID-19 pandemic on the mask supply chain into our framework and taking mask output as a state variable, our study introduces the differential game to study the long-term dynamic cooperation of a two-echelon supply chain composed of the supplier and the manufacturer under government subsidies. The study elaborates that government subsidies can provide more effective incentives for supply chain members to cooperate in the production of masks compared with the situation of no government subsidies. A relatively low wholesale price can effectively increase the profits of supply chain members and the supply chain system. The joint contract of two-way cost-sharing contract and transfer payment contract can promote production technology investment efforts of the supply chain members, the optimum trajectory of mask production, and total profit to reach the best state as the centralized decision scenario within a certain range. Meanwhile, it is determined that the profits of supply chain members in the joint contract can be Pareto improvement compared with decentralized decision scenario. With the increase of production technology investment cost coefficients and output self-decay rate, mask outputs have shown a downward trend in the joint contract decision model. On the contrary, mask outputs would rise with growing sensitivity of mask output to production technology investment effort and increasing sensitivity of mask demand to mask output.

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38

HASHIKURA, Kotaro, Akira KOJIMA, and Yoshito OHTA. "On Construction of an H^|^infin; Preview Output Feedback Law." SICE Journal of Control, Measurement, and System Integration 6, no. 3 (2013): 167–76. http://dx.doi.org/10.9746/jcmsi.6.167.

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39

HAMAMOTO, Kenichi, and Toshiharu SUGIE. "Construction Method of Linear Suboptimal Controllers from Input-Output Data." Transactions of the Institute of Systems, Control and Information Engineers 12, no. 1 (1999): 20–26. http://dx.doi.org/10.5687/iscie.12.20.

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40

Arashpour, Mehrdad, Ron Wakefield, Nick Blismas, and Tayyab Maqsood. "Autonomous production tracking for augmenting output in off-site construction." Automation in Construction 53 (May 2015): 13–21. http://dx.doi.org/10.1016/j.autcon.2015.03.013.

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41

Acquaye, Adolf A., and Aidan P. Duffy. "Input–output analysis of Irish construction sector greenhouse gas emissions." Building and Environment 45, no. 3 (March 2010): 784–91. http://dx.doi.org/10.1016/j.buildenv.2009.08.022.

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42

Yaakobi, Eitan, and Ravi Motwani. "Construction of Random Input-Output Codes With Moderate Block Lengths." IEEE Transactions on Communications 64, no. 5 (May 2016): 1819–28. http://dx.doi.org/10.1109/tcomm.2016.2538219.

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43

Rueda-Cantuche, José M., and Thijs Ten Raa. "TESTING ASSUMPTIONS MADE IN THE CONSTRUCTION OF INPUT–OUTPUT TABLES." Economic Systems Research 25, no. 2 (June 2013): 170–89. http://dx.doi.org/10.1080/09535314.2013.774265.

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Yamada, Mitsuo. "Construction of 2011 Chubu-region Multi-regional Input Output Table." Input-Output Analysis 25, no. 1 (2018): 56–73. http://dx.doi.org/10.11107/papaios.25.1_56.

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Huang, Lizhen, and Rolf André Bohne. "Embodied air emissions in Norway's construction sector: input-output analysis." Building Research & Information 40, no. 5 (October 2012): 581–91. http://dx.doi.org/10.1080/09613218.2012.711993.

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PIETROFORTE, ROBERTO, and RANKO BON. "The Italian residential construction sector: an input-output historical analysis." Construction Management and Economics 17, no. 3 (May 1999): 297–303. http://dx.doi.org/10.1080/014461999371501.

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Choobineh, F., and J. L. Ballard. "A method of confidence interval construction for simulation output analysis." Operations Research Letters 8, no. 5 (October 1989): 265–70. http://dx.doi.org/10.1016/0167-6377(89)90052-7.

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McIntyre, D. A. "Output of radiators at reduced flow rate." Building Services Engineering Research and Technology 7, no. 2 (May 1986): 92–95. http://dx.doi.org/10.1177/014362448600700206.

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Sertyesilisik, Begum. "Embending Sustainability Dynamics in the Lean Construction Supply Chain Management." YBL Journal of Built Environment 4, no. 1 (July 1, 2016): 60–78. http://dx.doi.org/10.1515/jbe-2016-0006.

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AbstractThe world’s habitat is being deteriorated despite of the precautions taken. Construction industry is among the industries which highly effect the environment adversely not only through its outputs but also through the construction process and its inputs. The main focus in dealing with the reduction of its footprint has been on sustainable building certificates which mainly analyse the output of the construction activies. There is need to analyse the construction supply chain as a whole and to embed sustainability dynamics in construction supply chain management. Lean construction project management contributes to the reduction of the environmental footprint of the construction industry, enabling reduction in waste, and increasing value added activities. For this reason, based on an in depth literature review, this paper analyses and establishes the principles of the integration of the sustainability dynamics into lean construction supply chain management.

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Journal, Baghdad Science. "Design and construction Optically Gas Laser." Baghdad Science Journal 10, no. 4 (December 1, 2013): 1223–31. http://dx.doi.org/10.21123/bsj.10.4.1223-1231.

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In this work the design and construction of a flash photolysis pulsed HCl laser was presented. The parameters of the pumping source and discharge current density was obtained, which sufficient to shift the flash lamp spectrum towards uv portion of spectrum. The maximum pulse laser energy parameters was measured. Total pressure and ratio of active gases to optimized the output pulse energy were measured , where at 125 mbar of total pressure and 1:7:14 Cl2:H2: He ratio, the laser energy was measured to be 200 mJ at pumping four flash lamps energy in the order of 6400J .The resonator consists of copper a near hemispherical mirror with the radius of curvature 3m coated by gold and reflectivity 98%,the output coupler sapphire mirror of 63% reflectivity . Total efficiency of the system was measured to be 0.0125% .

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