Thematische Bibliographien / Module price

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Auswahl der wissenschaftlichen Literatur zum Thema „Module price“

Autor: Grafiati

Veröffentlicht am 25. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "Module price"

Taghizadeh-Hesary, Farhad, Naoyuki Yoshino, and Yugo Inagaki. "Empirical analysis of factors influencing the price of solar modules." International Journal of Energy Sector Management 13, no. 1 (2019): 77–97. http://dx.doi.org/10.1108/ijesm-05-2018-0005.

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Purpose One of the key drivers behind the recent growth in the global solar energy market is the decline in solar module prices. Many empirical analyses have been carried out to identify the mechanism behind this price reduction. However, studies on the price reduction mechanism of solar modules over the years have focused purely on the technological aspect of manufacturing. The purpose of this study is to consider the influence of economic and monetary factors such as the interest rate and exchange rate on solar module pricing in addition to other factors that considered in earlier studies in

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Mittag, Max, Tim Straube, and Christian Reichel. "Analysis of transport costs structures of solar modules: international versus domestic scenarios." EPJ Photovoltaics 15 (2024): 40. http://dx.doi.org/10.1051/epjpv/2024036.

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This study investigates the cost structure associated with transporting photovoltaic (PV) modules, comparing scenarios of international transport from China to Germany, a European manufacturing, and domestic transport within Germany. Utilizing a geometric model to calculate container utilization and transport logistics, we analyze the impact of module design, efficiency, and transportation routes on overall costs. The transport cost model considers module dimensions, container specifications, loading limits, transport modes, costs, packaging materials, and pallet prices. We apply this model to

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Sulistyono, Dwi Setyo, Yuniaristanto Yuniaristanto, Wahyudi Sutopo, and Muhammad Hisjam. "Proposing Electric Motorcycle Adoption-Diffusion Model in Indonesia: A System Dynamics Approach." Jurnal Optimasi Sistem Industri 20, no. 2 (2021): 83–92. http://dx.doi.org/10.25077/josi.v20.n2.p83-92.2021.

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In 2019, the number of conventional vehicles in Indonesia reached 133,617,012 units, dominated by motorcycles of 112,771,136 units and passenger cars of 15,592,419 units. The high number of conventional motorcycle users can increase the number of pollutants and combustion emissions in the environment. This condition has encouraged the transition to a sustainable transport system that will be needed for decades to come, especially for the electric motorcycle to resolve the issue. This research aims to predict and estimate the market share of electric motorcycles by considering life cycle cost p

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Nagarjun, Mudagal, and Roopa R. "FLIGHT TICKET PRICE PREDICTION." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 07 (2024): 1–9. http://dx.doi.org/10.55041/ijsrem36633.

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The study uses past flight schedules, route data, and ticket prices to estimate airline ticket costs using machine learning regression. For ease of use and functionality, it has admin and user modules. Registering and logging in allows users to upload flight data for precise cost estimates. Ensuring continuous efficacy, the admin module makes data administration and system maintenance easier. The objective is to improve overall travel planning experiences by providing travelers with data- driven insights to help them make wise decisions and maximize the value of their airline ticket purchases.

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Hafeez, Ghulam, Noor Islam, Ammar Ali, Salman Ahmad, and Muhammad Usman and Khurram Saleem Alimgeer. "A Modular Framework for Optimal Load Scheduling under Price-Based Demand Response Scheme in Smart Grid." Processes 7, no. 8 (2019): 499. http://dx.doi.org/10.3390/pr7080499.

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With the emergence of the smart grid (SG), real-time interaction is favorable for both residents and power companies in optimal load scheduling to alleviate electricity cost and peaks in demand. In this paper, a modular framework is introduced for efficient load scheduling. The proposed framework is comprised of four modules: power company module, forecaster module, home energy management controller (HEMC) module, and resident module. The forecaster module receives a demand response (DR), information (real-time pricing scheme (RTPS) and critical peak pricing scheme (CPPS)), and load from the p

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Meng, Zixuan, Lin Hao, and Yong Tan. "Freemium Pricing in Digital Games with Virtual Currency." Information Systems Research 32, no. 2 (2021): 481–96. http://dx.doi.org/10.1287/isre.2020.0976.

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Providers of free-to-play games often gain revenue by monetizing players’ playtime, for example, through in-game advertising and by selling premium modules of the game. One emerging strategy to sell the premium module, known as the virtual selling strategy, is to set the module price based on an amount of virtual currency that players can either spend on playtime to earn or use real currency to buy. In this paper, we examine how the virtual selling strategy leads to different market outcomes than the traditional real selling strategy where players can purchase the premium module using real cur

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Yulianti, Yulianti, Endar Nirmala, Fernando David Hence Rotty, Eva Fauziah, Rizky Chaesar, and Muhammad Rafif Misbahuddin. "Pengujian Sistem ERP Apotek (GPOS - POS Modul) Menggunakan Metode Black Box dengan Teknik Error Guessing." Jurnal Teknologi Sistem Informasi dan Aplikasi 5, no. 2 (2022): 132. http://dx.doi.org/10.32493/jtsi.v5i2.17654.

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After the process of making software needs to be done a useful testing stage to ensure that the software (Software) is in accordance with the needs of the user. POS is an application used to make sales transactions. In this study, the test was conducted on four modules: the first is the inventory module, in this module there are features for the manager of goods data, stock of goods, and the price of goods, The second is the purchase module where this feature will manage every transaction of goods purchased to the supplier or manufacturer, the third is the sales module or POS, this feature is

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Fu, Xian Cheng, Lei Zhou, and Guo Jun Wen. "Ultrasonic Ranging System Based on Single Chip Microprocessor." Applied Mechanics and Materials 441 (December 2013): 360–63. http://dx.doi.org/10.4028/www.scientific.net/amm.441.360.

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Ultrasonic ranging (UR) technology has being used widely in many industries around the world. This paper aims to design and manufacture an ultrasonic distance measuring system with lower price and higher accuracy. Based on the deep study of principle of ultrasonic ranging, we designed the general plan and detailed electrical circuits for the ultrasonic distance measuring system based on single chip microprocessor of AT89S52, including the transmitter module of ultrasonic wave, receiving module of ultrasonic wave, display module etc. Then, we compiled the relative driven programs for all module

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Petrović, Igor, Danijel Koprivanac, Ivana Heđi, and Mario Vražić. "PV System Design for Optimal Energy Production Based on Measured Data." Et2er 6, no. 1 (2024): 36–41. http://dx.doi.org/10.70077/et2er.6.1.5.

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One should always keep in mind optimizing energy and money gains while designing an integrated photovoltaic (PV) system for the client with electrical energy consumption. Any amount of electrical energy produced by PV system that is left after consumption, is given to distribution network. Given energy will always have lower price than electrical energy taken from distribution network. Therefore, PV system production size should be designed just to equal client consummation. If this is achieved, most produced energy compensates for energy that was supposed to be taken from distribution network

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Wei, Liran, Mingzhu Tang, Na Li, Jingwen Deng, Xinpeng Zhou, and Haijun Hu. "Multifractal-Aware Convolutional Attention Synergistic Network for Carbon Market Price Forecasting." Fractal and Fractional 9, no. 7 (2025): 449. https://doi.org/10.3390/fractalfract9070449.

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Accurate carbon market price prediction is crucial for promoting a low-carbon economy and sustainable engineering. Traditional models often face challenges in effectively capturing the multifractality inherent in carbon market prices. Inspired by the self-similarity and scale invariance inherent in fractal structures, this study proposes a novel multifractal-aware model, MF-Transformer-DEC, for carbon market price prediction. The multi-scale convolution (MSC) module employs multi-layer dilated convolutions constrained by shared convolution kernel weights to construct a scale-invariant convolut

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Dissertationen zum Thema "Module price"

Ndiritu, Gachiri Charles. "An Application of Multiple Regression in Exchange Rate Arrangements." Thesis, University of the Western Cape, 2008. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_1863_1263418792.

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This project &quot An application of multiple regression in exchange rate arrangement&quot focused on the processes followed by different countries when choosing an exchange rate regime for currency stabilization. It analyses the consequences faced by emerging markets as a result of changes in volatility of developed countries&rsquo currencies (American Dollar, Japanese Yen, EURO, British Pound and the Canadian Dollar).

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Nygren, Anton, and Elin Sundström. "Modelling bifacial photovoltaic systems : Evaluating the albedo impact on bifacial PV systems based on case studies in Denver, USA and Västerås, Sweden." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-55111.

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This study aims to develop a simulation and optimisation tool for bifacial photovoltaic (PV) modules based on the open-source code OptiCE and evaluate dynamic and static albedo impact on a bifacial PV system. Further, a review of the market price development of bifacial PVs' and an optimisation to maximise energy output was conducted. Two case studies with bifacial PV modules, a single-axis tracker in Denver, USA, and a vertical and a tilted system installed at a farm outside Västerås, Sweden, were analysed in this study. The results showed that an hourly dynamic albedo value could provide mor

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Sherwell, Cabello Pablo. "Three essays concerning economic analysis associated with the supply chain." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1715.

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Moyer, Adam C. "Self-Evolving Data Collection Through Analytics and Business Intelligence to Predict the Price of Cryptocurrency." Ohio University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1604656483616404.

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Hubalek, Friedrich, and Walter Schachermayer. "When does convergence of asset price processes imply convergence of option prices?" SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 1998. http://epub.wu.ac.at/1768/1/document.pdf.

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We consider weak convergence of a sequence of asset price models (Sn) to a limiting asset price model S. A typical case for this situation is the convergence of a sequence of binomial models to the Black-Scholes model, as studied by Cox, Ross, and Rubinstein. We put emphasis on two different aspects of this convergence: firstly we consider convergence with respect to the given "physical" probability measures (Pn) and secondly with respect to the "risk-neutral" measures (Qn) for the asset price processes (Sn). (In the case of non-uniqueness of the risk-neutral measures also the question of the

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Valeš, Jaromír. "Analýza personální práce." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-74752.

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The goal of this thesis is to become familiar with the personal module within the framework of enterprise information system DIALOG 3000S and subsequent suggestion of measure and procedure when implementing its functions in operation. First of all, it concerns the functions linked with the organizational structure and professions within integrated. Theoretical part is focused on general introduction of enterprise processes widely, then the issues of personal information system are analyzed, especially its integration to the enterprise information system as a whole. The practical part features

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關惠貞 and Wai-ching Josephine Kwan. "Trend models for price movements in financial markets." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1994. http://hub.hku.hk/bib/B31211513.

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Coetzee, G. J. "A comparison of the Philips price earnings multiple model and the actual future price earnings multiple of selected companies listed on the Johannesburg stock exchange." Thesis, Stellenbosch : Stellenbosch University, 2000. http://hdl.handle.net/10019.1/51561.

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Thesis (MBA)--Stellenbosch University, 2000. ENGLISH ABSTRACT: The price earnings multiple is a ratio of valuation and is published widely in the media as a comparative instrument of investment decisions. It is used to compare company valuation levels and their future growth/franchise opportunities. There have been numerous research studies done on the price earnings multiple, but no study has been able to design or derive a model to successfully predict the future price earnings multiple where the current stock price and following year-end earnings per share is used. The most widely

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Ellvin, Anders, and Tobias Pulls. "Implementing a Privacy-Friendly Secure Logging Module into the PRIME Core." Thesis, Karlstad University, Faculty of Economic Sciences, Communication and IT, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-5439.

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When individuals access services online they are often required to disclose excessive amounts of personally identifiable information, with little to no transparency on how the information is used. One of the goals of the EU research project PrimeLife is to help people regain control of their private sphere in today's networked world. As part of PrimeLife a software prototype, named the PRIME Core, is being developed that contains a number of different privacy enhancing technologies. This thesis describes the implementation and integration of a privacy-friendly secure logging module into the

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Alsulmi, Badria. "Generalized Jacobi sums modulo prime powers." Diss., Kansas State University, 2016. http://hdl.handle.net/2097/32668.

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Bücher zum Thema "Module price"

S, Clark J., and United States. Dept. of Agriculture. Economic Research Service, eds. Nonfarm input prices, price margins, and consumer food prices. U.S. Dept. of Agriculture, Economic Research Service, 1998.

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Aït-Sahalia, Yacine. Nonparametric estimation of state-price densities implicit in financial asset prices. National Bureau of Economic Research, 1995.

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Borenstein, Severin. Do gasoline prices respond asymmetrically to crude oil price changes? National Bureau of Economic Research, 1992.

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Barsky, Robert. Do flexible durable goods prices undermine sticky price models? National Bureau of Economic Research, 2003.

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Hampton, Tim. How much do import price shocks matter for consumer prices? Reserve Bank of New Zealand, 2001.

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Chacra, Marwan. Oil-price shocks and retail energy prices in Canada. Bank of Canada, 2002.

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Chacra, Marwan. Oil-price shocks and retail energy prices in Canada. Bank of Canada, 2002.

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Knittel, Christopher R. Tacit collusion in the presence of cyclical demand and endogenous capacity levels. National Bureau of Economic Research, 2006.

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Shiller, Robert J. Designing indexed units of account. National Bureau of Economic Research, 1999.

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Shiller, Robert J. Indexed units of account: Theory and assessment of historical experience. National Bureau of Economic Research, 1998.

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Buchteile zum Thema "Module price"

Taghizadeh-Hesary, Farhad, Naoyuki Yoshino, Yugo Inagaki, and Lilu Vandercamme. "Solar Module Price Determinants." In The Handbook of Energy Policy. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9680-0_25-1.

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Wang, Zhan. "The Role of Transportation Infrastructure Expansion in the Transmission of Global Crop Price Shocks to the Brazilian Agriculture." In SIMPLE-G. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-68054-0_15.

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AbstractIn this chapter, we discuss how crop production, land use, and carbon emissions in Brazil are influenced by the interaction of a global crop price shock with domestic transportation infrastructure investments. The grid-resolving feature of SIMPLE-G-Brazil provides a framework for simulating impacts from multiscale shocks and capturing the spatial heterogeneity and spillover effects of results within the country. First, we illustrate this research question with a simplified two-region economic framework, which provides qualitative implications of the interactive effects to be checked wi

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Osborne, Martin J., and Ariel Rubinstein. "Equilibrium with prices and expectations." In Models in Microeconomic Theory, 2nd ed. Open Book Publishers, 2023. http://dx.doi.org/10.11647/obp.0362.13.

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In the models of markets we have discussed so far, equilibrium prices make the individuals’ decisions compatible. Each individual takes the prices as given when deciding on his action, and at the equilibrium prices the demand and supply of every good are equal. In this chapter, an individual’s behavior is affected not only by the prices but also by his expectations regarding other parameters. Each individual takes these expectations, like the prices, as given. In equilibrium, each individual behaves optimally, the supply and demand for each good are equal, and the expectations of individuals a

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Osborne, Martin J., and Ariel Rubinstein. "Equilibrium with prices and expectations." In Models in Microeconomic Theory, 2nd ed. Open Book Publishers, 2023. http://dx.doi.org/10.11647/obp.0361.13.

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In the models of markets we have discussed so far, equilibrium prices make the individuals’ decisions compatible. Each individual takes the prices as given when deciding on her action, and at the equilibrium prices the demand and supply of every good are equal. In this chapter, an individual’s behavior is affected not only by the prices but also by her expectations regarding other parameters. Each individual takes these expectations, like the prices, as given. In equilibrium, each individual behaves optimally, the supply and demand for each good are equal, and the expectations of individuals a

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Zhao, Jing, Hongzhen Ni, Xiujian Peng, Genfa Chen, Jifeng Li, and Jinhua Liu. "Water Subdivision Module and Its Application—Impact of Water Price Reform on Water Conservation and Economic Growth in China." In CHINAGEM—A Dynamic General Equilibrium Model of China: Theory, Data and Applications. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1850-8_12.

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Mokhtarzadeh, Fatemeh. "A global vector autoregression model for softwood lumber trade." In International trade in forest products: lumber trade disputes, models and examples. CABI, 2021. http://dx.doi.org/10.1079/9781789248234.0174.

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Abstract A novel econometric approach is developed in this chapter, namely, the Global Vector Autoregressive (GVAR) model. It provides a comprehensive framework for analyzing the country-level impacts of various domestic, foreign, and/or global shocks on softwood lumber trade. The GVAR approach is applied to Canada-U.S. trade in softwood lumber and used to analyze the effect of external shocks on Canadian lumber prices. Findings indicate that Canada's export prices are positively correlated to U.S. housing starts and real GDP. Further, using impulse response functions, it is used to examine th

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Tayon, Wesley A., Marcia S. Domack, Eric K. Hoffman, and Stephen J. Hales. "Investigation of Abnormal Grain Growth in a Friction Stir Welded and Spin-Formed Al-Li Alloy 2195 Crew Module." In PRICM. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118792148.ch133.

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Mekler, Philipp, and Jingshu Sun. "Pharma Tender Processes: Modeling Auction Outcomes." In Quantitative Models in Life Science Business. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11814-2_4.

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AbstractThis chapter summarizes the overall tendering and contracting process in the pharmaceutical industry by providing an overview of the first-sealed price auction theory, auction rules, and drug pricing mechanism of different countries. Comparing procurement systems across Asia, Africa, Europe, and Latin America, the review casts light on various pharmaceutical bidding systems across the world and their impact on drug prices. Then, this review focuses on the empirical estimation of first-price auction models. In terms of model specification, we compare the two most commonly used empirical

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Konferenzberichte zum Thema "Module price"

Kong, Xiangfu, Xiaofei Cong, Jian Wang, Yuying Gao, and Jiang Zhe. "Research on PV Module Price Prediction Based on VMD-LSTM." In 2024 3rd International Conference on Clean Energy Storage and Power Engineering (CESPE). IEEE, 2024. https://doi.org/10.1109/cespe64643.2024.00035.

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Laky, Daniel J., Radhakrishna Tumbalam Gooty, Tyler Jaffe, et al. "IDAES-PSE Software Tools for Optimizing Energy Systems and Market Interactions." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.137860.

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Modern power grids coordinate electricity production and consumption via multi-scale wholesale energy markets. Historically, levelized cost metrics were the de facto standard for techno-economic analyses of energy systems and comparison of technology options. However, these metrics neglect the complexity of energy infrastructure including the time-varying value of electricity. An emerging alternative is multi-period optimization, which considers the locational marginal price of electricity as input data (parameters). In this work, we present a general interface for multi-period optimization wi

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Dardor, Dareen, Daniel Fl�rez-Orrego, Reginald Germanier, Manuele Margni, and Fran�ois Mar�chal. "On the Economic Uncertainty and Crisis Resiliency of Decarbonization Solutions for the Aluminium Industry." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.116664.

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The aluminium industry emits approximately 1.1 billion tonnes of CO2-eq annually, contributing about 2% of global industrial emissions. Decarbonization pathways aim to achieve net-zero emissions by 2050, but this requires making decisions today for technologies having lifetimes of 20 � 25 years, based on uncertain economic assumptions, particularly given the volatility of energy prices. Traditional price forecasting models often fail to anticipate major disruptions, such as the 2022 energy crisis. This work applies Monte-Carlo Analysis (MCA) to evaluate the financial stability of decarbonizati

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Almajed, Hussain M., Omar J. Guerra, Ana Somoza-Tornos, Wilson A. Smith, and Bri-Mathias Hodge. "The design and operational space of syngas production via integrated direct air capture with gaseous CO2 electrolysis." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.134920.

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The overarching goal of limiting the increase in global temperature to = 2.0� C likely requires both decarbonization and defossilization efforts. Direct air capture (DAC) and CO2 electrolysis stand out as promising technologies for capturing and utilizing atmospheric CO2. In this effort, we explore the details of designing and operating an integrated DAC-electrolysis process by examining some key parameters for economic feasibility. We evaluate the gross profit and net income to find the most appropriate capacity factor, average electricity price, syngas sale price, and CO2 taxes. Additionally

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Li, Mingrui, Douglas A. Allan, San Dinh, et al. "NMPC for Mode-Switching Operation of Reversible Solid Oxide Cell Systems." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.103553.

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Solid oxide cells (SOCs) are a promising dual-mode technology that generates hydrogen through high-temperature water electrolysis and generates power through a fuel cell reaction that consumes hydrogen. Reversible operation of SOCs requires a transition between these two modes for hydrogen production setpoints as the demand and price of electricity fluctuate. Moreover, a well-functioning control system is important to avoid cell degradation during mode-switching operation. In this work, we apply nonlinear model predictive control (NMPC) to an SOC module and supporting equipment and compare NMP

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Binti Wahi, Siti Kathijah, Zurina Binti Jamil, Nadiah Binti Muhammad, Ahmad Mustaza Bin Ahmad Rusli, M. Faris Bin Mawardi, and Mohd Farid Bin Rahmat Sam. "Expert Corrosion Design Basis Memorandum (E-CDBM)-Corrosion Digital Solution at Your Fingertips." In MECC 2023. AMPP, 2023. https://doi.org/10.5006/mecc2023-19866.

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Abstract The objective of the paper is to communicate on the development and commissioned of Web-Based Online Expert Corrosion Design Basis Memorandum (E-CDBM), an online solution to accelerate, simplify & standardize CDBM development which has been piloted for Upstream Wellhead Platforms and Pipelines. CDBM is a project key document consisting of the design basis of material selection, corrosion control, testing and monitoring which is typically developed and approved manually. This digitalization initiative will take CDBM to a next level in designing corrosion features for upstream facil

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Marchisio, Emiliano. "PRICE INCREASES DURING THE PANDEMIA AND EU COMPETITION LAW." In International Jean Monnet Module Conference of EU and Comparative Competition Law Issues "Competition Law (in Pandemic Times): Challenges and Reforms. Faculty of Law, Josip Juraj Strossmayer University of Osijek, 2021. http://dx.doi.org/10.25234/eclic/18819.

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The debate about the “just price” has ancient origin and returns forcefully to the scene when, in the event of crises of various kinds, there is a rapid and significant increase in prices of given goods or services. In this article it is examined the problem of whether price increases of such a nature could, or should, be considered illicit under EU competition law. The central part of the article reviews different theories on what a “just price” should be and focuses on the idea that a price is “just” when it functions as index of relative scarcity in free markets. It is claimed that such a f

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Yinghua Sung, Zhehui Wu, and Zhenkuan Pan. "A price fluctuation module in market oriented grid based on contract management." In 2011 IEEE 13th International Conference on Communication Technology (ICCT). IEEE, 2011. http://dx.doi.org/10.1109/icct.2011.6157928.

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Myszka, David H., Mark A. Patterson, and James E. Globig. "A Low Cost Signal Conditioning Module for Mechanical Measurements." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14953.

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Mechanical and electronic engineering technology faculty members at the University of Dayton have collaborated on the design of a signal conditioning circuit board for a mechanical measurements laboratory. This board includes amplification and filters necessary to interface a low voltage output from analog sensors with a computer data acquisition system. Printed circuit boards were produced, with easy to understand connections. Multiple units were assembled at a cost of under $20 per board. The price of other commercially available signal conditioning modules is 10 to 20 times that amount. Thi

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Lee, Jae Hak, Jun-Yeob Song, Chang-Woo Lee, Tae Ho Ha, and Yeong Sang Jeong. "Compact Assembly Machine for Cellular Phone Lens Module Using Self-Adjustment." In ASME 2009 International Manufacturing Science and Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/msec2009-84170.

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Efficient alignment method using self-adjustment and lens aberration reduction method using several lenses with different orientation for cellular phone lens assembly are introduced to compensate for alignment error among lens parts and minimize lens aberration caused by lens defect in this work, respectively. Self-adjustment module has 2 degrees of freedom of translation motion and 3 degrees of freedom of rotation by porous air bearing and spring to compensate for alignment error automatically. The allowable alignment error and proper inserting force to assembly lens parts successfully was in

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Berichte der Organisationen zum Thema "Module price"

Dogra, Keshav, Sebastian Heise, Edward S. Knotek, et al. Estimates of cost-price passthrough from business survey data. Federal Reserve Bank of Cleveland, 2023. http://dx.doi.org/10.26509/frbc-wp-202314.

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We examine businesses' price-setting practices via open-ended interviews and in a quantitative survey module with business contacts from the Federal Reserve Banks of Atlanta, Cleveland, and New York in December 2022 and January 2023. Businesses indicated that their prices were strongly influenced by demand, a desire to maintain steady profit margins, and wages and labor costs. Survey respondents expected reduced growth in costs and prices of about 5 percent on average over the next year. Backward-looking, forward-looking, and hypothetical scenarios reveal average cost-price passthrough of arou

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Hoekstra, F. F., M. Poelman, P. Goglio, H. Jansen, and L. van den Bogaart. De echte prijs (true price) van mosselen : Echte en eerlijke prijs van duurzame producten – casus mosselen Module natuurlijk kapitaal (water, bodem en lucht). Wageningen Economic Research, 2022. http://dx.doi.org/10.18174/580692.

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Cortazar, Gonzalo, Cristobal Millard, Hector Ortega, and Eduardo Schwartz. Commodity Price Forecasts, Futures Prices and Pricing Models. National Bureau of Economic Research, 2016. http://dx.doi.org/10.3386/w22991.

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Kurozumi, Takushi, and Willem Van Zandweghe. Firm Size, Heterogeneous Strategic Complementarities, and Real Rigidity. Federal Reserve Bank of Cleveland, 2025. https://doi.org/10.26509/frbc-wp-202514.

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Recent research indicates substantial differences in price-setting behavior between small and large firms, as only large firms exhibit strategic complementarities in price setting. Using firm survey data, we present new evidence that the cost-price pass-through decreases with firm size. To examine the implications for inflation dynamics, we develop a DSGE model that features heterogeneous complementarities across firm size. While standard DSGE models with homogeneous firms generate real rigidity in relative prices, there is little such rigidity in our model. Heterogeneity in strategic compleme

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Barsky, Robert, Christopher House, and Miles Kimball. Do Flexible Durable Goods Prices Undermine Sticky Price Models? National Bureau of Economic Research, 2003. http://dx.doi.org/10.3386/w9832.

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L'Huillier, Jean-Paul, and Gregory Phelan. Can Supply Shocks Be Inflationary with a Flat Phillips Curve? Federal Reserve Bank of Cleveland, 2023. http://dx.doi.org/10.26509/frbc-wp-202336.

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Not in standard models. With conventional pricing frictions, imposing a flat Phillips curve also imposes a price level that is rigid with respect to supply shocks. In the New Keynesian model, price markup shocks need to be several orders of magnitude bigger than other shocks in order to fit the data, leading to unreasonable assessments of the magnitude of the increase in costs during inflationary episodes. To account for the facts, we propose a strategic microfoundation of shock-dependent price stickiness: prices are sticky with respect to demand shocks but flexible with respect to supply shoc

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Filiz, Ibrahim, Jan René Judek, Marco Lorenz, and Markus Spiwoks. Einhorn, Yeti, Nessie und der neoklassische Markt – Legenden und empirische Evidenz. Sonderforschungsgruppe Institutionenanalyse, 2022. http://dx.doi.org/10.46850/sofia.9783947850020.

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The neoclassical market model still has a decisive influence on important economic policy decisions today. A central role in this model is played by the formation of equilibrium prices, where aggregate supply functions and aggregate demand functions meet. We examine whether equilibrium prices are actually formed. For this purpose, we analyse 2,217 prices for homogeneous products that were collected by students between October 2020 and May 2022 in stationary and online retail. In 143 of 146 cases, no equilibrium price is found. The percentage price range is regularly over 100%. The presumed ste

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Kim, Changmo, Ghazan Khan, Brent Nguyen, and Emily L. Hoang. Development of a Statistical Model to Predict Materials’ Unit Prices for Future Maintenance and Rehabilitation in Highway Life Cycle Cost Analysis. Mineta Transportation Institute, 2020. http://dx.doi.org/10.31979/mti.2020.1806.

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The main objectives of this study are to investigate the trends in primary pavement materials’ unit price over time and to develop statistical models and guidelines for using predictive unit prices of pavement materials instead of uniform unit prices in life cycle cost analysis (LCCA) for future maintenance and rehabilitation (M&R) projects. Various socio-economic data were collected for the past 20 years (1997–2018) in California, including oil price, population, government expenditure in transportation, vehicle registration, and other key variables, in order to identify factors affecting

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Dassanayake, Wajira, Chandimal Jayawardena, Iman Ardekani, and Hamid Sharifzadeh. Models Applied in Stock Market Prediction: A Literature Survey. Unitec ePress, 2019. http://dx.doi.org/10.34074/ocds.12019.

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Stock market prices are intrinsically dynamic, volatile, highly sensitive, nonparametric, nonlinear, and chaotic in nature, as they are influenced by a myriad of interrelated factors. As such, stock market time series prediction is complex and challenging. Many researchers have been attempting to predict stock market price movements using various techniques and different methodological approaches. Recent literature confirms that hybrid models, integrating linear and non-linear functions or statistical and learning models, are better suited for training, prediction, and generalisation performan

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Loewenstein, Lara P., and Paul S. Willen. House Prices and Rents in the 21st Century. Federal Reserve Bank of Cleveland, 2023. http://dx.doi.org/10.26509/frbc-wp-202302.

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We study the joint evolution of prices and rents of residential property. We construct indices for both rents and prices of renter-occupied properties and for prices of owner-occupied properties. We then decompose the change in the price of occupant-owned property into three components: (1) changes in rent, (2) changes in the relative prices of investor- and occupant-owned properties, and (3) changes in the price-rent ratio. We use a simple model to link our decomposition to different sources of variation in house prices. We argue that while the 2000s boom was plausibly driven by exuberant exp

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