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Zeitschriftenartikel zum Thema „Module price“

Autor: Grafiati

Veröffentlicht am 25. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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1

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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Yang, Linlin, Yingluo Song, Zilin Hu, Aili Wang, Haibin Wu, and Yuji Iwahori. "Design and Implementation of Intelligent Vegetable Recognition System based on MobileNet." Embedded Selforganising Systems 9, no. 3 (2022): 82–86. http://dx.doi.org/10.14464/ess.v9i3.579.

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With the rise of food safety traceability, unmanned supermarkets and autonomous shopping, the automatic identification technology of agricultural products such as vegetables in circulation and sales has become an urgent problem. This paper designs an intelligent vegetable identification system based on MobileNet to solve intelligent identification problem of vegetable sales in supermarkets. The system includes main control core, visual processing module, pressure sensor, voice broadcasting module and display module. When the system detects that there are vegetables to be weighed, the vis

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Casalbuoni, S., J. Baader, G. Geloni, et al. "A pre-series prototype for the superconducting undulator afterburner for the European XFEL." Journal of Physics: Conference Series 2380, no. 1 (2022): 012012. http://dx.doi.org/10.1088/1742-6596/2380/1/012012.

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Abstract We propose to develop, characterize and operate a superconducting undulator (SCU) afterburner consisting of 5 undulator modules (1 module = 2 SCU coils of 2 m length and 1 phase shifter) plus a pre-series prototype at the SASE2 hard X-ray beamline of European XFEL. This afterburner will produce an output in the order of 1010 ph/pulse at photon energies above 30 keV. The project is divided into the production of a pre-series prototype module and a small-series production of 5 modules. Central goals of this R&D activity are: the demonstration of the functionality of SCUs at an X-ray

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Tran, Duc Trong. "Assigning of land location and land price to land parcel using ArcGIS engine." Journal of Mining and Earth Sciences 62, no. 1 (2021): 27–34. http://dx.doi.org/10.46326/jmes.2021.62(1).04.

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Assigning a state price to each land parcel is a frequent and yet important task in the state management of land parcels. Land price is issued for each street. For each street, land price is divided according to level of location 1, 2, 3 and 4. Parcel is assigned to which location level depending on its walking distance to nearest street, and passed minimum alley’s width, etc. The task of valuing land parcels is cumbersome because the number of land parcels to be priced is huge. To alleviate this burden for government staff, a step by step processing model is developed to automatically determi

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Fu, Kui, and Yanbin Zhang. "Incorporating Multi-Source Market Sentiment and Price Data for Stock Price Prediction." Mathematics 12, no. 10 (2024): 1572. http://dx.doi.org/10.3390/math12101572.

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The problem of stock price prediction has been a hot research issue. Stock price is influenced by various factors at the same time, and market sentiment is one of the most critical factors. Financial texts such as news and investor comments reflect investor sentiment in the stock market and influence market movements. Previous research models have struggled to accurately mine multiple sources of market sentiment information originating from the Internet and traditional sentiment analysis models are challenging to quantify and combine indicator data from market data and multi-source sentiment d

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Satish, Kuppani, and A. Rama Mohan Reddy. "Resource Allocation in Grid Computing Environment Using Genetic–Auction Based Algorithm." International Journal of Grid and High Performance Computing 10, no. 1 (2018): 1–15. http://dx.doi.org/10.4018/ijghpc.2018010101.

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The main core functionality of Grid Computing is resource allocation and scheduling. With the idea of genetic algorithms and microeconomics, it is proposed a Resource allocation method called a genetic-auction based algorithm [GAAB]. This algorithm contains two modules, auction module and genetic approach. Auction module find outs resource-trading price between resource provider and resource buyer, and the resource allocation carried out by Genetic algorithm by considering both time and cost constraints simultaneously. In this article, evaluations are made in the simulation environment and the

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N., Baggyalakshmi, M. Janani Shree Priya, and Revathi R. "Online Shopping System." International Academic Journal of Science and Engineering 11, no. 1 (2024): 71–80. http://dx.doi.org/10.9756/iajse/v11i1/iajse1110.

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The main objective of this system is to make global shopping possible, were the customers buy things from anywhere in India. The customer will be displayed with the available products of the company, and the customer will be asked to select the items based on his choice and all information about the product like price, product id model will be given to the customer based on his requirements they make an order of the product. The modules are: Product Master, Customer Module, Purchase Module, Order Module, Billing Module. Daily, special and emergency deliveries are available. At any time during

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Kobets, Vitaliy. "WEB SERVICE MANAGEMENT SYSTEM FOR PREDICTING REAL ESTATE PRICES USING MACHINE LEARNING TECHNIQUES." Computer systems and information technologies, no. 4 (December 26, 2024): 68–77. https://doi.org/10.31891/csit-2024-4-9.

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Today there are many different web services for renting real estate, but none of them provides price forecasting capabilities. There is a need to create a platform that allows users to receive accurate real estate price forecasts with minimal time expenditures. The aim of this paper is to develop the architecture of a web service for real estate price forecasting, considering various apartment characteristics. We have prepared a review and analysis of existing analogues of real estate rental web services, functional and non-functional requirements for a web service for apartment price forecast

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Bordoloi, Dibyahash. "Import and Export Database Management System." Mathematical Statistician and Engineering Applications 70, no. 1 (2021): 182–89. http://dx.doi.org/10.17762/msea.v70i1.2298.

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Project components include login, customer registration, add products, view products, purchase order, sales order, payment, and report in the import export management system. Import manager, customers, and suppliers must provide their user name and password to log in to the login module. Supplier will enter information about the product, including its name, category, price, selling price, and quantity, in the add products module. The user may examine product information in the view products module. Using the database's product id, customers can create purchase orders in the purchase order modu

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Yang, Sibo, Wendong Yang, Kai Zhang, and Yan Hao. "A Novel System Based on Selection Strategy and Ensemble Mode for Non-Ferrous Metal Futures Market Management." Systems 11, no. 2 (2023): 55. http://dx.doi.org/10.3390/systems11020055.

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Non-ferrous metals, as one of the representative commodities with large international circulation, are of great significance to social and economic development. The time series of its prices are highly volatile and nonlinear, which makes metal price forecasting still a tough and challenging task. However, the existing research focus on the application of the individual advanced model, neglecting the in-depth analysis and mining of a certain type of model. In addition, most studies overlook the importance of sub-model selection and ensemble mode in metal price forecasting, which can lead to poo

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K P, Chandana. "Land Value Assessment and Blockchain Land Registry." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem41215.

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The initiative focusing on land valuation and integrating blockchain technology into land registries aims to revolutionize land management practices by tackling inefficiencies, fraud, and a lack of transparency. The utilization of blockchain technology ensures the security and immutability of record-keeping. The project consists of four key modules: an administrative segment for registering landowners and generating QR codes, a buyer interface for accessing authenticated property details via QR codes, a landowner platform for verifying ownership using Aadhaar numbers, and a predictive module f

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Lee, In-Bae, Youngjin Kim, and Sojung Kim. "A Data-Driven Machine Vision Framework for Quality Management in Photovoltaic Module Manufacturing." Machines 13, no. 4 (2025): 285. https://doi.org/10.3390/machines13040285.

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As renewable energy production grows, the photovoltaic (PV) module manufacturing process has received worldwide attention. In 2019, the total sales of PV modules were 1.7 billion U.S. dollars, and 78.7% of PV modules were made in South Korea. However, Korean manufacturers are facing high production costs due to high domestic labor costs and long-distance raw material procurement, making it difficult to produce price-competitive PV modules. In this situation, the best alternative for Korean manufacturers to gain a competitive edge is to produce high-quality PV modules. To this end, this study i

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Bormpotsis, Christos, Mohamed Sedky, and Asma Patel. "Predicting Forex Currency Fluctuations Using a Novel Bio-Inspired Modular Neural Network." Big Data and Cognitive Computing 7, no. 3 (2023): 152. http://dx.doi.org/10.3390/bdcc7030152.

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In the realm of foreign exchange (Forex) market predictions, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have been commonly employed. However, these models often exhibit instability due to vulnerability to data perturbations attributed to their monolithic architecture. Hence, this study proposes a novel neuroscience-informed modular network that harnesses closing prices and sentiments from Yahoo Finance and Twitter APIs. Compared to monolithic methods, the objective is to advance the effectiveness of predicting price fluctuations in Euro to British Pound Sterling

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Park, Jeong Eun, Won Seok Choi, and Donggun Lim. "Cell/Module Integration Technology with Wire-Embedded EVA Sheet." Applied Sciences 11, no. 9 (2021): 4170. http://dx.doi.org/10.3390/app11094170.

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Silicon wafers are crucial for determining the price of solar cell modules. To reduce the manufacturing cost of photovoltaic devices, the thicknesses of wafers are reduced. However, the conventional module manufacturing method using the tabbing process has a disadvantage in that the cell is damaged because of the high temperature and pressure of the soldering process, which is complicated, thus increasing the process cost. Consequently, when the wafer is thinned, the breakage rate increases during the module process, resulting in a lower yield; further, the module performance decreases owing t

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Qi, Minfeng, Ziyuan Wang, Shiping Chen, and Yang Xiang. "A Hybrid Incentive Mechanism for Decentralized Federated Learning." Distributed Ledger Technologies: Research and Practice 1, no. 1 (2022): 1–15. http://dx.doi.org/10.1145/3538226.

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Federated Learning (FL) presents a privacy-compliant approach by sharing model parameters instead of raw data. However, how to motivate data owners to participate in and stay within an FL ecosystem by continuously contributing their data to the FL model remains a challenge. In this article, we propose a hybrid incentive mechanism based on blockchain to address the above challenge. The proposed mechanism comprises two primary smart contract-based modules, namely the reputation module and the reverse auction module. The former is used to dynamically calculate the reputation score of each FL part

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Wang, Huiwen, Ying Terk Lim, Shenming Xie, and Wen Yi. "Two-Stage Stochastic Programming for Precast Module Water Transportation: A Case Study in Hong Kong." Applied Sciences 14, no. 24 (2024): 11987. https://doi.org/10.3390/app142411987.

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Transporting precast modules via water is a vital component of multimodal transportation systems, increasingly utilized in large-scale Modular integrated Construction (MiC) projects where modules are prefabricated in remote factories. The effectiveness of module transportation planning significantly impacts the overall costs and productivity of MiC projects. However, existing studies on module transportation planning neglect the uncertainty inherent in MiC projects, thereby resulting in increased costs. This study proposes a two-stage stochastic programming model to optimize transportation pla

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He, Miao, Weiwei Jiang, and Weixi Gu. "TriChronoNet: Advancing electricity price prediction with Multi-module fusion." Applied Energy 371 (October 2024): 123626. http://dx.doi.org/10.1016/j.apenergy.2024.123626.

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Hermawan, Erwan, Raden Agung Wijono, Adiarso Adiarso, et al. "Solar Cell Manufacturing Cost Analysis and its Impact to Solar Power Electricity Price in Indonesia." International Journal of Energy Economics and Policy 13, no. 6 (2023): 244–58. http://dx.doi.org/10.32479/ijeep.14970.

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World energy consumption continues to increase, with a growth of 1,3% annually during 2011 - 2021. To deal with that situation, in 2021, Indonesia Electrity Stated-Own Company (PLN) issued a report about the electricity supply business plan (RUPTL) 2021-2030. The power plant projected to grow is solar photovoltaic (PV), reaching 4,6 GW within ten years. However, in reality, the achievement of developing solar power plants is still 0,02 GW. Several factors that caused low realization are the solar power plant component industry needs to be better developed, and the regulated electricity price b

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Zhu, Chun Dong, Wei Tian, Xuan Zhang, and Wei Fan Yin. "Parametric Design of Friction Plate Based on VB and Pro/E." Advanced Materials Research 655-657 (January 2013): 277–80. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.277.

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This paper introduces the secondary development of Pro/E with VB , established the parametric design software of friction plate which including part design module and quotation module. In parts design module user can input parts parameters for automatically model regeneration in Pro/E. Quotation module solved the common problems such as long time-consuming and inaccurate calculation, provided a more convenient, fast and practical tool for quoted price.

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Li, Yuhong, Nan Yang, Guihong Bi, Shiyu Chen, Zhao Luo, and Xin Shen. "Carbon Price Forecasting Using a Hybrid Deep Learning Model: TKMixer-BiGRU-SA." Symmetry 17, no. 6 (2025): 962. https://doi.org/10.3390/sym17060962.

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As a core strategy for carbon emission reduction, carbon trading plays a critical role in policy guidance and market stability. Accurate forecasting of carbon prices is essential, yet remains challenging due to the nonlinear, non-stationary, noisy, and uncertain nature of carbon price time series. To address this, this paper proposes a novel hybrid deep learning framework that integrates dual-mode decomposition and a TKMixer-BiGRU-SA model for carbon price prediction. First, external variables with high correlation to carbon prices are identified through correlation analysis and incorporated a

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Zhang, Zuo, Xinhai Lu, Min Zhou, Yan Song, Xiang Luo, and Bing Kuang. "Complex Spatial Morphology of Urban Housing Price Based on Digital Elevation Model: A Case Study of Wuhan City, China." Sustainability 11, no. 2 (2019): 348. http://dx.doi.org/10.3390/su11020348.

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In a city, housing price varies with location. Thus, housing price plays an important role in detecting the spatial pattern of the city. Spatial interpolation methods have been widely used for simulating and predicting urban housing prices. In this paper, the Ordinary Kriging interpolation method is used for producing the digital elevation model (DEM) of urban housing prices. Based on the three-dimensional DEM of urban housing price, this paper develops a novel approach for geo–visual analytics of urban housing prices. To investigate and visualize the spatial morphology of housing price, we de

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Rahman, Hanung Pangestu, Jamaludin Indra, and Rahmat Rahmat. "Penerapan Convolutional Neural Network pada Timbangan Pintar Menggunakan ESP32-CAM." JURNAL MEDIA INFORMATIKA BUDIDARMA 7, no. 1 (2023): 283. http://dx.doi.org/10.30865/mib.v7i1.5469.

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Scales are needed by traders, including vegetable traders, but the scales created in the market can only determine the weight. That way traders need time to calculate the price based on the weight and type of vegetables. In previous research there has been research on smart scales that can calculate the total price based on the weight and type of vegetables being weighed, this study used the Raspberry Pi 3 Model B and the Convolutional Neural Network (CNN) as a method for the scales to be able to identify the types of vegetables that are on it. Along with the rapid development of technology, t

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Kimsong, Suy, Horchhong Cheng, Chivon Choeung, Sophea Nam, and Darith Leng. "Improvement of Solar Farm Performance based on Photovoltaic Modules Selection." International Journal of Electrical and Electronics Research 12, no. 3 (2024): 951–57. http://dx.doi.org/10.37391/ijeer.120328.

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The emissions of greenhouse gases from conventional power plants are currently a significant cause for worry. In China, about 75% of total domestic energy is dependent on coal-fire power, which emits 50% of total SO2 and has a significant impact on the human respiratory system. Therefore, solar power plants are a viable option that can mitigate this problem. Furthermore, the efficiency of solar modules exhibits a progressive upward trend, while their price per watt experiences a corresponding decline, making it a promising source for future energy. This article examines the performance and eff

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Kopecek, Radovan, and Joris Libal. "Bifacial Photovoltaics 2021: Status, Opportunities and Challenges." Energies 14, no. 8 (2021): 2076. http://dx.doi.org/10.3390/en14082076.

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In this paper we summarize the status of bifacial photovoltaics (PV) and explain why the move to bifaciality is unavoidable when it comes to e.g., lowest electricity generation costs or agricultural PV (AgriPV). Bifacial modules—those that are sensitive to light incident from both sides—are finally available at the same price per watt peak as their standard monofacial equivalents. The reason for this is that bifacial solar cells are the result of an evolution of crystalline Si PV cell technology and, at the same time, module producers are increasingly switching to double glass modules anyway d

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Priyadi, Irnanda, Faisal Hadi, Doni Tamara, and Makmun Reza Razali. "PERANCANGAN ELEKTRO EJAKULATOR SEBAGAI ALAT BANTU INSEMINASI BUATAN PADA KAMBING TERNAK DI KOTA BENGKULU." Teknosia 16, no. 1 (2022): 1–13. http://dx.doi.org/10.33369/teknosia.v16i1.21086.

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Semen collection is one of the activities contained in the artificial insemination program in animals. Semen collection can be done in several ways, namely using an artificial vagina, massage and using an electro ejaculator module. The use of the electro ejaculator module is a safe and appropriate method for male livestock. Electro ejaculator module sold in the market has a relatively expensive price and is still difficult to find, especially in Indonesia. Therefore, an electro ejaculator module or device for goats is needed that has an affordable price so that it can be used by small to mediu

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Velte, Andreas, Lukas Joos, and Gerrit Füldner. "Experimental Performance Analysis of Adsorption Modules with Sintered Aluminium Fiber Heat Exchangers and SAPO-34-Water Working Pair for Gas-Driven Heat Pumps: Influence of Evaporator Size, Temperatures, and Half Cycle Times." Energies 15, no. 8 (2022): 2823. http://dx.doi.org/10.3390/en15082823.

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A major challenge for gas-driven adsorption heat pumps is the production of compact, efficient, and cost-effective adsorption modules. We present the experimental data of a design based on sintered aluminum fiber heat exchangers, a technology currently under development. The adsorption module presented here is the result of the downsizing of a larger module. The downsized module has an adsorption heat exchanger that is 60% of the size of the larger-scale component, and an evaporator-condenser that is only 30% of the size of the larger-scale component. It is designed to fit the heating requirem

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Niu, Dongyin, Tiantian Zhang, Yufei Tan, and Wensheng Zhang. "Numerical Research on the Performance of a Phase Change Heat Storage Electric Heating Module." E3S Web of Conferences 356 (2022): 01045. http://dx.doi.org/10.1051/e3sconf/202235601045.

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A kind of phase change heat storage electric heating modules filled with the composite PCM was designed and fabricated in this paper. The thermal performance of the module was studied through the experiments, and the thermal performance influencing factors were studied using the FLUENT software. Simulation results indicated that the optimal thermal conductivity of the PCM should be between 3 W/(m·K) and 5W/(m·K). With the designed arrangement of the heating wire, the optimal electric heating power should be between 9.00W/m and 9.85W/m, and the corresponding adjustments should be made according

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Jagtap, Aviraj. "Slickdeals Aggregator Web-Application Using Web Scraping." International Journal for Research in Applied Science and Engineering Technology 11, no. 11 (2023): 1756–60. http://dx.doi.org/10.22214/ijraset.2023.56913.

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Abstract: Due to the e-commerce industry's explosive growth, there are a large number of online retail platforms that sell a wide variety of goods. Because there are more products and shops available, it can be difficult for customers to compare prices and discounts among different online retailers. It describes how to create a price comparison website that gathers and compares product prices from various e-commerce websites using web scraping techniques. The system uses web scraping to collect product information such as price, reviews, offers, descriptions and availability from certain e- co

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Sun, Qing Juan, and Jian Zheng Zhou. "Research on the Application of VR in the Model of Grading and Evaluating of Farmland Based on GIS." Applied Mechanics and Materials 312 (February 2013): 849–52. http://dx.doi.org/10.4028/www.scientific.net/amm.312.849.

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Virtual Reality (VR) is to immerse interactivity and imagination as the essential features of the advanced computer interface. The grading and evaluation work of agricultural land involves a large number of processing, statistics, analysis and calculation of spatial and attribute data, and it is a good idea to adopt the most advanced computer technologyGIS technology and database technology to eatablish the model of the farmland scientific and reasonable grading and evaluating . The model includes the module for land requisitionthe module for land requisitionthe module for land classification

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Guan, Renchu, Aoqing Wang, Yanchun Liang, Jiasheng Fu, and Xiaosong Han. "International Natural Gas Price Trends Prediction with Historical Prices and Related News." Energies 15, no. 10 (2022): 3573. http://dx.doi.org/10.3390/en15103573.

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Under the idea of low carbon economy, natural gas has drawn widely attention all over the world and becomes one of the fastest growing energies because of its clean, high calorific value, and environmental protection properties. However, policy and political factors, supply-demand relationship and hurricanes can cause the jump in natural gas prices volatility. To address this issue, a deep learning model based on oil and gas news is proposed to predict natural gas price trends in this paper. In this model, news text embedding is conducted by BERT-Base, Uncased on natural gas-related news. Atte

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Huang, Anzhong, Hong Chen, Xuan Hu, and Luote Dai. "The Analysis of Enterprise Improvement in Global Commodity Price Prediction Based on Deep Learning." Journal of Global Information Management 31, no. 3 (2023): 1–20. http://dx.doi.org/10.4018/jgim.321115.

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The article expects to solve the traditional econometric statistical model, shallow machine learning algorithm, and many limitations in learning the nonlinear relationship of related indicators affecting commodity futures price trend. This article proposes a neural network commodity futures price prediction model by the mixture of convolutional neural networks (CNN) and gated recurrent unit (GRU). Firstly, the dimension reduction algorithm of multidimensional data by principal component analysis (PCA) is used. Through linear transformation, the original variables with correlation are transform

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Chen, Bo, Ze Hu, Liang Ge, and Jun Lan Li. "Design of Wireless Fire Detection and Alarm System Based on ZigBee Technology." Applied Mechanics and Materials 448-453 (October 2013): 3662–65. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.3662.

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In order to transmit temperature and smoke signals timely and accurately in the fire alarm system of community, design one kind of wireless fire detection and alarm system, which is based on the wireless communication technology, ZigBee. When acquisition module receive the signals which come from the wireless data acquisition module which connected the room with temperature detection module, and then, send to the nearest backbone transceiver module, the defined center module receive the signals, at last, the signals are local-stored or transferred to fire center by GPRS. This design with the c

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Wang, Shuai Feng, Liang Hou, Hao Lun Wang, and Wen Guang Lin. "Analysis Method for Commonality of Module and Part in Modular Product Family." Advanced Materials Research 201-203 (February 2011): 1425–28. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.1425.

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An analysis method for commonality of module & part in modular product family was put forward. The part and module commonality in module layer and component part layer of product family were identified, respectively. The formulations of the two commonalities take into account amount of component part or module, variety, volume, price/cost of the part or module, size, geometry, material, manufacturing process, assembly. According to the source of parts, the mathematical formulas of self-made parts and purchased parts were set up respectively in the component part layer. Finally, an example

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Xu, Hang. "Using Kernel Method to Include Firm Correlation for Stock Price Prediction." Computational Intelligence and Neuroscience 2022 (April 5, 2022): 1–10. http://dx.doi.org/10.1155/2022/4964394.

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In this work, we propose AGKN (attention-based graph learning kernel network), a novel framework to incorporate information of correlated firms of a target stock for its price prediction in an end-to-end way. We first construct a stock-axis attention module to extract dynamic and asymmetric spatial correlations through the kernel method and a graph learning module into which more accurate information can be integrated. An ensemble time-axis attention module is then applied to learn temporal correlations within each stock and market index. Finally, we utilize a transformer encoder to jointly at

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Kozinsky, Inna, Brion Bob, and Rebecca Jones-Albertus. "Challenges and Opportunities for Improving Thin-Film Photovoltaics." MRS Advances 1, no. 41 (2016): 2827–32. http://dx.doi.org/10.1557/adv.2016.436.

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ABSTRACTThe U.S. Department of Energy (DOE)’s SunShot Initiative is a collaborative national effort to reduce the price of solar energy to 6¢/kWh without subsidy for utility scale installations by 2020. Thin-film photovoltaics offer a promising path to reach this goal. Analysis of the levelized cost of energy (LCOE) from photovoltaics (PV) highlights the dependence on the module and system efficiency and lifetime in addition to module price. Here we summarize challenges and opportunities for CdTe and CIGS PV research and show that a substantial effort is still needed in areas such as device de

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Posadas-Yagüe, Juan-Luis. "Low-cost modular devices for on-road vehicle detection and characterisation." Design Automation for Embedded Systems 27 (June 5, 2023): 85–102. https://doi.org/10.1007/s10617-023-09270-y.

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Detecting and characterising vehicles is one of the purposes of embedded systems used in intelligent environments. An analysis of a vehicle’s characteristics can reveal inappropriate or dangerous behaviour. This detection makes it possible to sanction or notify emergency services to take early and practical actions. Vehicle detection and characterisation systems employ complex sensors such as video cameras, especially in urban environments. These sensors provide high precision and performance, although the price and computational requirements are proportional to their accuracy. These sen

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Cui, Jian Tao. "Design and Implementation of Computer Network Monitoring Software." Applied Mechanics and Materials 686 (October 2014): 201–4. http://dx.doi.org/10.4028/www.scientific.net/amm.686.201.

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This paper mainly studies the key technologies of network real-time monitoring system based on Client/Server, and implementation of a real-time monitoring system based on CS/ mode. Using the network communication technology, Winsock technology, TCP/IP protocol, image compression and transmission technology, the process of communication technology and object oriented software technology to realize the main frame module, the system include network monitoring data initialization module, data transmission module, image coding and decoding module, its advantage is to make full use of the existing n

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Guo, Miao Yun, Tian Ding Chen, and Chang Hong Yu. "A Novel Embedded System for Wireless Ordering Based on RFID." Key Engineering Materials 439-440 (June 2010): 251–56. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.251.

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As the development of the electric technology, more and more embedded system are applied in all walks of life. This paper describes an embedded system for wireless ordering, which can be used in many fields, besides restaurants. The system is consisted of LCD display module, wireless communication net module which includes sending and decoding. This design has advantages of both low price and high performance.

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Yang, Shu, Jinglin Li, Quan Yuan, Zhihan Liu, and Fangchun Yang. "Message Relaying and Collaboration Motivating for Mobile Crowdsensing Service: An Edge-Assisted Approach." Wireless Communications and Mobile Computing 2018 (July 29, 2018): 1–13. http://dx.doi.org/10.1155/2018/1287969.

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Group sensing is a kind of crowdsensing service where HD map producers motivate private cars in a local region to collect data from real world. Group sensing needs vehicles to communicate physically and drivers to collaborate strategically in a mobile or edge-assisted environment. First, we consider collaboration module that motivates drivers to be participants; centralized and distributed motivating methods are discussed. Secondly, we consider communication module; two VANET-based methods are proposed to achieve message relaying in edge infrastructure. To accomplish participants’ selection, t

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Pan, Qingyi, Suyu Sun, Pei Yang, and Jingyi Zhang. "FuturesNet: Capturing Patterns of Price Fluctuations in Domestic Futures Trading." Electronics 13, no. 22 (2024): 4482. http://dx.doi.org/10.3390/electronics13224482.

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Futures trading analysis plays a pivotal role in the development of macroeconomic policies and corporate strategy planning. High-frequency futures data, typically presented as time series, contain valuable historical patterns. To address challenges such as non-stationary in modeling futures prices, we propose a novel architecture called FuturesNet, which uses an InceptionTime module to capture the short-term fluctuations between ask and bid orders, as well as a long-short-term-memory (LSTM) module with skip connections to capture long-term temporal dependencies. We evaluated the performance of

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Nurmaida, Firnanda Pristiana, Agus Indra Gunawan, Teguh Hady Ariwibowo, et al. "Implementasi Modul Water Quality Meter pada Komunitas Petani Udang Vaname Jawa Timur." GUYUB: Journal of Community Engagement 5, no. 1 (2024): 136–52. http://dx.doi.org/10.33650/guyub.v5i1.7942.

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Vannamei shrimp is one of the leading commodities in fisheries aquaculture, due to its competitive price and the ability to be mass-produced with high stocking densities. Many coastal communities in East Java capitalize on this opportunity by engaging in vannamei shrimp cultivation. However, most shrimp farmers still measure pond water quality using conventional methods and record water quality parameters on paper, which is highly inefficient. With this issue in mind, the author sought to engage in community service by inviting representatives from the East Java vannamei shrimp farming communi

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