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Udhayakumar P, Kumanan S. Applied Mechanics and Materials. Fazlollahtabar H. Optimising a multi-objective reliability assessment in multiple AGV manufacturing system. International Journal of Services and Operations Management. Distributed control of multi-AGV system based on regional control model. Production Engineering.

Vasava AS. Scheduling of automated guided vehicle in different flexible manufacturing system environment. Hybrid cost and time path planning for multiple autonomous guided vehicles. Applied Intelligence. Bi-Objective optimization of a job shop with two types of failures for the operating machines that use automated guided vehicles.

Huang D, Zhang G, editors. Scheduling control of AGV system based on game theory. Aized T. Modelling and performance maximization of an integrated automated guided vehicle system using coloured Petri net and response surface methods.

Kato F, Shin S, editors. Multistep optimal scheduling of Automated Guided Vehicles in a semiconductor fabrication. Ji M, Xia J. Analysis of vehicle requirements in a general automated guided vehicle system based transportation system. Multi-objective optimisation of automated guided dispatching and vehicle routing system.

International Journal of Modelling in Operations Management. Integrated tasks assignment and routing for the estimation of the optimal number of AGVS. Advanced Materials Research. Research of AGV charging and job integrated scheduling at automated container terminal. Computer Engineering and Applications. Ulusoy G. A genetic algorithm approach to the simultaneous scheduling of machines and automated guided vehicles. Abdelmaguid T. International Journal of Production Research. Reddy B.

A hybrid multi-objective ga for simultaneous scheduling of machines and agvs in fms. International Journal of Advanced Manufacturing Technology. Vehicle routing problem based on a fuzzy customer clustering approach for logistics network optimization. Journal of Advanced Transportation, , — Chen C. Using a genetic algorithm to schedule the space-constrained AGV-based prefabricated bathroom units manufacturing system. Multi-AGV path planning with double-path constraints by using an improved genetic algorithm.

Joint optimization of green vehicle scheduling and routing problem with time-varying speeds. Srinvivas M. Sun N. A self-adaptive genetic algorithm with improved mutation mode based on measurement of population diversity. Neural Computing and Applications. Wang et al. Profit distribution in collaborative multiple centers vehicle routing problem. Journal of Cleaner Production. A stochastic particle swarm optimization algorithm based on the genetic algorithm of roulette wheel selection, Computer Engineering and Science.

Multi-objective AGV scheduling in an automatic sorting system of an unmanned intelligent warehouse by using two adaptive genetic algorithms and a multi-adaptive genetic algorithm English version. Souhrn Automated guided vehicle AGV is a logistics transport vehicle with high safety performance and excellent availability, which can genuinely achieve unmanned operation.

Zdroje 1. Pareto V. A subnational analysis of Chinese development projects. In: Kiel Working Papers. Full description at Econpapers Download paper African leaders and the geography of Chinas foreign assistance. In: Journal of Development Economics. In: EconStor Preprints. Full description at Econpapers Download paper Social norm nudging and preferences for household recycling.

Nakamura, Leonard ; Hulten, Charles R. Full description at Econpapers Download paper Model-based assessment of public health impact and cost-effectiveness of dengue vaccination following screening for prior exposure. Liow, Kim ; Song, Jeongseop. In: International Real Estate Review. Manduca, Robert A. Graeber, Thomas ; Enke, Benjamin. Lim, Wooyoung ; Kim, Duk Gyoo.

Full description at Econpapers Download paper Encouraging pro-environmental behaviours: a review of methods and approaches. Curtis, John ; Grilli, Gianluca. Full description at Econpapers Download paper Cognitive Uncertainty.

Enke, Benjamin ; Graeber, Thomas. An analysis of ten years of zoo-themed research output. In: Palgrave Communications. Full description at Econpapers Download paper Machine and deep learning meet genome-scale metabolic modeling. Full description at Econpapers Download paper Validity and reliability of telephone administration of the patient-specific functional scale for the assessment of recovery from snakebite envenomation.

Full description at Econpapers Download An improved adaptive memetic differential evolution optimization algorithms for data clustering problems. Full description at Econpapers Download paper Changes in inequality of childhood morbidity in Bangladesh A decomposition analysis. Full description at Econpapers Download paper Socioeconomic status and alcohol use disorders across the lifespan: A co-relative control study.

Full description at Econpapers Download paper Exploring local realities: Perceptions and experiences of healthcare workers on the management and control of drug-resistant tuberculosis in Addis Ababa, Ethiopia. Full description at Econpapers Download paper An analytical model to minimize the latency in healthcare internet-of-things in fog computing environment.

Full description at Econpapers Download paper Multimorbidity and complex multimorbidity in Brazilian rural workers. Full description at Econpapers Download paper. Full description at Econpapers Download paper Seizure pathways: A model-based investigation. Full description at Econpapers Download paper Visual physiology of the layer 4 cortical circuit in silico. Full description at Econpapers Download Tabu search algorithm for the distance-constrained vehicle routing problem with split deliveries by order.

Full description at Econpapers Download paper Social isolation and multiple chronic diseases after age A European macro-regional analysis. Full description at Econpapers Download paper Factors affecting complete and timely childhood immunization coverage in Sindh, Pakistan; A secondary analysis of cross-sectional survey data. Full description at Econpapers Download paper Can we achieve universal health coverage without a focus on disability? Results from a national case-control study in Guatemala.

Full description at Econpapers Download paper Slanted images: Measuring nonverbal media bias. Boxell, Levi. Full description at Econpapers Download paper The q-dependent detrended cross-correlation analysis of stock market. Rass, Stefan. Levinson, David ; Ermagun, Alireza. MacDonald, Bobbie ; Vivalt, Eva. In: OSF Preprints. Full description at Econpapers Download paper Stabilization of diastolic calcium signal via calcium pump regulation of complex local calcium releases and transient decay in a computational model of cardiac pacemaker cell with individual release c.

Full description at Econpapers Download paper Non-linear auto-regressive models for cross-frequency coupling in neural time series. Full description at Econpapers Download paper Quantifying the burden of vampire bat rabies in Peruvian livestock. Full description at Econpapers Download paper Multi-AGV path planning with double-path constraints by using an improved genetic algorithm.

Full description at Econpapers Download paper Fully-automated segmentation of fluid regions in exudative age-related macular degeneration subjects: Kernel graph cut in neutrosophic domain. Nitzan, Jonathan ; Bichler, Shimshon. In: Working Papers on Capital as Power. Full description at Econpapers Download paper Statistically validated network of portfolio overlaps and systemic risk.

In: Post-Print. Sen, Shilad ; Topaz, Chad M. Full description at Econpapers Download paper Gender differences in tournament choices: Risk preferences, overconfidence or competitiveness? Is this page useful for you? Then, help us to keep the service working. Please have a look to our donations page Thanks for your help!! Citations in Economics: CitEc. Citation Profile [Updated: ]. Impact Factor.

Data available in this report. Main indicators. Raw Data. Full description at Econpapers Download paper 5. Year Title Cited 1 A deep learning framework for financial time series using stacked autoencoders and long-short term memory. Full description at Econpapers Download paper 3.

Citing documents used to compute impact factor: Year Title Multimorbidity and complex multimorbidity in Brazilian rural workers. Recent citations. Recent citations received in Year Citing document Cognitive Uncertainty. Mirshahi, Maryam. In: American Economic Review. Percentage of selft citations in y to articles published in y-1 plus y The Network of Global Corporate Control.

A deep learning framework for financial time series using stacked autoencoders and long-short term memory. The Heterogeneous Dynamics of Economic Complexity. Nighttime lights as a proxy for human development at the local level. Oxytocin Increases Generosity in Humans. Finding Statistically Significant Communities in Networks.

Genetic Determinants of Financial Risk Taking. Renewable energy consumption and economic growth. Child malnutrition in sub-Saharan Africa: A meta-analysis of demographic and health surveys The Role of Gender in Scholarly Authorship. The distribution of income is worse than you think: Including pollution impacts into measures of income inequality.

Statistical Analysis of the Exchange Rate of Bitcoin. SoilGridsm: Global gridded soil information based on machine learning. Economic development and wage inequality: A complex system analysis. Efficiency and optimal size of hospitals: Results of a systematic search. Statistical and Machine Learning forecasting methods: Concerns and ways forward. How much is social media worth? Do altmetrics correlate with the quality of papers? A new accuracy measure based on bounded relative error for time series forecasting.

Interdependencies and Causalities in Coupled Financial Networks. Multimorbidity and complex multimorbidity in Brazilian rural workers. Executable pathway analysis using ensemble discrete-state modeling for large-scale data. Valuation when baselines are changing: Tick-borne disease risk and recreational choice. Validation of a risk perception questionnaire developed for patients with rheumatoid arthritis. Regulation and regime: the comparative politics of adaptive regulation in synthetic biology.

Social determinants of health and self-rated health status: A comparison between women with HIV and women without HIV from the general population in Canada. End-of-Life Medical Expenses. Long-Run Environmental Accounting in the U. The dimensionality and latent structure of mental health difficulties and wellbeing in early adolescence. Investigating menu kilojoule labelling policy adoption from a political science perspective.

Disrespect and abuse during childbirth in Western Ethiopia: Should women continue to tolerate? Bibliographically coupled patents: Their temporal pattern and combined relevance. Generating a representative keyword subset pertaining to an academic conference series.

How well does I3 perform for impact measurement compared to other bibliometric indicators? Human online adaptation to changes in prior probability. Mathematical modeling and numerical simulations of Zika in Colombia considering mutation. Field coupling benefits signal exchange between Colpitts systems. Large benefits to youth-focused HIV treatment-as-prevention efforts in generalized heterosexual populations: An agent-based simulation model.

Regional level influenza study based on Twitter and machine learning method. Improving the reliability of model-based decision-making estimates in the two-stage decision task with reaction-times and drift-diffusion modeling. State of household need for caregivers and determinants of psychological burden among caregivers of older people in Thailand: An analysis from national surveys on older persons.

Experimental study on the single-file movement of mice. Factors influencing nutritional practices among mothers in Dakar, Senegal. A study of software reliability on big data open source software. Perceived discrimination in medical settings and perceived quality of care: A population-based study in Chicago. Ten simple rules for carrying out and writing meta-analyses. A systematic review and evaluation of Zika virus forecasting and prediction research during a public health emergency of international concern.

Assessing climate sensitivity of peak electricity load for resilient power systems planning and operation: A study applied to the Texas region. From SARS to pandemic influenza: the framing of high-risk populations. Simulation of pedestrian evacuation considering emergency spread and pedestrian panic. Forecasting dengue and influenza incidences using a sparse representation of Google trends, electronic health records, and time series data.

Nonparametric wind power forecasting under fixed and random censoring. A comparative study on machine learning based algorithms for prediction of motorcycle crash severity. An intrusion detection algorithm for sensor network based on normalized cut spectral clustering.

The role of trust in the social heuristics hypothesis. Predicting the occurrence of surgical site infections using text mining and machine learning. Prediction of train wheel diameter based on Gaussian process regression optimized using a fast simulated annealing algorithm. A validation of machine learning-based risk scores in the prehospital setting.

How good are pathogenicity predictors in detecting benign variants? Some forecasting principles from the M4 competition. Benchmarking network propagation methods for disease gene identification. Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators. Fast and near-optimal monitoring for healthcare acquired infection outbreaks. The structure of collaboration networks: Findings from three decades of co-invention patents in Chile. Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia.

Multi-objective AGV scheduling in an automatic sorting system of an unmanned intelligent warehouse by using two adaptive genetic algorithms and a multi-adaptive genetic algorithm. Factors associated with the use of antenatal care in Sindh province, Pakistan: A population-based study. Intergenerational transmission of family adversity: Examining constellations of risk factors. Trends and future of maternal and child health in Bangladesh.

Mental health and quality of life outcomes in family members of patients with chronic critical illness admitted to the intensive care units of two Brazilian hospitals serving the extremes of the socio. Being HIV positive and staying on antiretroviral therapy in Africa: A qualitative systematic review and theoretical model. Are there differences in HIV retention in care between female and male patients in Indonesia? Predictors of mortality within the first year of initiating antiretroviral therapy in urban and rural Kenya: A prospective cohort study.

On lifestyle trends, health and mosquitoes: Formulating welfare levels for control of the Asian tiger mosquito in Greece. Predicting kinase inhibitors using bioactivity matrix derived informer sets. The knowledge economy: Key to sustainable development? Surname-based ethnicity and ethnic segregation in the early twentieth century U.

Effect of geographic accessibility to primary care on treatment status of hypertension. Public preferences for health care facilities in rural China: A discrete choice experiment. Acceptability of early childhood obesity prediction models to New Zealand families.

Modeling narrative structure and dynamics with networks, sentiment analysis, and topic modeling. Exploration of an interdisciplinary scientific landscape. Promoting agricultural biogas and biomethane production: Lessons from cross-country studies. Is favoritism a threat to Chinese aid effectiveness? African leaders and the geography of Chinas foreign assistance.

Deep Reinforcement Learning for Trading. Ecological Limits and Hierarchical Power. Social norm nudging and preferences for household recycling. The Welfare Effects of Social Media. Model-based assessment of public health impact and cost-effectiveness of dengue vaccination following screening for prior exposure.

Cognitive Uncertainty. Multilateral Bargaining over the Division of Losses. Encouraging pro-environmental behaviours: a review of methods and approaches. Machine and deep learning meet genome-scale metabolic modeling. Validity and reliability of telephone administration of the patient-specific functional scale for the assessment of recovery from snakebite envenomation.

Changes in inequality of childhood morbidity in Bangladesh A decomposition analysis. Socioeconomic status and alcohol use disorders across the lifespan: A co-relative control study. Exploring local realities: Perceptions and experiences of healthcare workers on the management and control of drug-resistant tuberculosis in Addis Ababa, Ethiopia.

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BFGMiner is also free to download and use. Developed using the mining engine of BFGMiner, MultiMiner features a clean GUI, automated hardware detection and mining features, and cross-platform compatibility, making it our clear choice as the best for ease of use. While most mining software requires some coding skills, novices can get started with MultiMiner with no technical skills. The software walks users through the installation process and then scans the details of the hardware, including average hashing power and the linked pool.

MultiMiner goes even further and shows users exactly how to connect to a pool, including where to enter the information associated with the pool. The software also offers users remote access to their mining rigs, lets them choose their mining strategy, and automatically mines the most profitable or lowest-difficulty cryptocurrency with a display of estimated profits.

MultiMiner installs easily on Windows computers, but users will need to install additional software for Mac and Linux machines. The software is also free to download and use. As a result, it tops our list as the best centralized management software. Awesome Miner was developed by Swedish software company IntelliBreeze in as a cryptocurrency mining management application for Windows machines.

It supports large-scale mining with a dashboard that lets users manage multiple mining engines and pools in one operation, making it the best software for centralized management. Awesome Miner offers a number of powerful features to help users maximize profit and minimize downtime. The software can handle multiple mining hardware types at the same time including ASICs and FPGAs , supports more than 25 mining engines cgminer, bfgminer, xmrig, srbminer, etc.

Awesome Miner also makes it easy for users to add, switch, and manage multiple miner pools with one click so they can start mining in less time. The software features a built-in C script engine miners can use to make customized triggers and actions.

Although Awesome Miner is designed for Windows and Linux, the web version of the software can be accessed on any computer or browser. Awesome Miner is free to download and use. While new bitcoin mining software is being developed every year, only a handful grabbed our attention due to their reputation, features, and ease of use.

At the top of our list is CGMiner, which we chose as the best overall since its open-source platform can be used on any computer and practically any mining rig. Bitcoin mining software is essentially what makes Bitcoin work. By tracking and securing transactions known as blockchains , users are able to earn bitcoins rather than having to pay for them with actual currency. Bitcoin mining software can only be used by specialized hardware that is powerful enough to run the complex calculations required to create new secure blocks.

In general, it takes about 10 minutes to mine one bitcoin. However, this assumes an ideal hardware and software setup which few users can afford. A more reasonable estimate for most users who have large setups is 30 days to mine a single bitcoin. Although bitcoin mining software is free, there are tremendous costs involved in both hardware and electricity costs. Mining equipment is also very power-hungry. The drawback is that each miner only receives a small portion of each mined bitcoin.

We looked at close to a dozen bitcoin mining software for this review. At the top of our list was the oldest and most widely used software, which we analyzed for features and ease of use. Next, we differentiated between the best mining software for novices and those for advanced power users.

Mostly this broke down into the type of interface command-line versus GUI and ability to either automate or customize mining features. These halvings reduce the rate at which new coins are created and, thus, lower the available supply. This can cause some implications for investors, as other assets with low supply—like gold—can have high demand and push prices higher.

At this rate of halving, the total number of bitcoin in circulation will reach a limit of 21 million, making the currency entirely finite and potentially more valuable over time. In order for bitcoin miners to actually earn bitcoin from verifying transactions, two things have to occur. First, they must verify one megabyte MB worth of transactions, which can theoretically be as small as one transaction but are more often several thousand, depending on how much data each transaction stores.

Second, in order to add a block of transactions to the blockchain, miners must solve a complex computational math problem, also called a "proof of work. In other words, it's a gamble. The difficulty level of the most recent block as of August is more than 16 trillion. That is, the chance of a computer producing a hash below the target is 1 in 16 trillion. To put that in perspective, you are about 44, times more likely to win the Powerball jackpot with a single lottery ticket than you are to pick the correct hash on a single try.

Fortunately, mining computer systems spit out many hash possibilities. Nonetheless, mining for bitcoin requires massive amounts of energy and sophisticated computing operations. The difficulty level is adjusted every blocks, or roughly every 2 weeks, with the goal of keeping rates of mining constant. The opposite is also true. If computational power is taken off of the network, the difficulty adjusts downward to make mining easier. Say I tell three friends that I'm thinking of a number between 1 and , and I write that number on a piece of paper and seal it in an envelope.

My friends don't have to guess the exact number, they just have to be the first person to guess any number that is less than or equal to the number I am thinking of. And there is no limit to how many guesses they get. Let's say I'm thinking of the number There is no 'extra credit' for Friend B, even though B's answer was closer to the target answer of Now imagine that I pose the 'guess what number I'm thinking of' question, but I'm not asking just three friends, and I'm not thinking of a number between 1 and Rather, I'm asking millions of would-be miners and I'm thinking of a digit hexadecimal number.

Now you see that it's going to be extremely hard to guess the right answer. Not only do bitcoin miners have to come up with the right hash, but they also have to be the first to do it. Because bitcoin mining is essentially guesswork, arriving at the right answer before another miner has almost everything to do with how fast your computer can produce hashes. Just a decade ago, bitcoin mining could be performed competitively on normal desktop computers. Over time, however, miners realized that graphics cards commonly used for video games were more effective and they began to dominate the game.

In , bitcoin miners started to use computers designed specifically for mining cryptocurrency as efficiently as possible, called Application-Specific Integrated Circuits ASIC. These can run from several hundred dollars to tens of thousands but their efficiency in mining Bitcoin is superior.

Today, bitcoin mining is so competitive that it can only be done profitably with the most up-to-date ASICs. Even with the newest unit at your disposal, one computer is rarely enough to compete with what miners call "mining pools. A mining pool is a group of miners who combine their computing power and split the mined bitcoin between participants. A disproportionately large number of blocks are mined by pools rather than by individual miners. Mining pools and companies have represented large percentages of bitcoin's computing power.

Consumers tend to trust printed currencies. In addition to a host of other responsibilities, the Federal Reserve regulates the production of new money, and the federal government prosecutes the use of counterfeit currency. Even digital payments using the U.

When you make an online purchase using your debit or credit card, for example, that transaction is processed by a payment processing company such as Mastercard or Visa. In addition to recording your transaction history, those companies verify that transactions are not fraudulent, which is one reason your debit or credit card may be suspended while traveling. Bitcoin, on the other hand, is not regulated by a central authority.

Nodes store information about prior transactions and help to verify their authenticity. Unlike those central authorities, however, bitcoin nodes are spread out across the world and record transaction data in a public list that can be accessed by anyone. Between 1 in 16 trillion odds, scaling difficulty levels, and the massive network of users verifying transactions, one block of transactions is verified roughly every 10 minutes.

The bitcoin network is currently processing just under four transactions per second as of August , with transactions being logged in the blockchain every 10 minutes. At that point, waiting times for transactions will begin and continue to get longer, unless a change is made to the bitcoin protocol.

There have been two major solutions proposed to address the scaling problem. Developers have suggested either 1 creating a secondary "off-chain" layer to Bitcoin that would allow for faster transactions that can be verified by the blockchain later, or 2 increasing the number of transactions that each block can store. With less data to verify per block, the Solution 1 would make transactions faster and cheaper for miners. Solution 2 would deal with scaling by allowing for more information to be processed every 10 minutes by increasing block size.

The program that miners voted to add to the bitcoin protocol is called a segregated witness , or SegWit. Less than a month later in August , a group of miners and developers initiated a hard fork , leaving the bitcoin network to create a new currency using the same codebase as bitcoin. Although this group agreed with the need for a solution to scaling, they worried that adopting segregated witness technology would not fully address the scaling problem.

Instead, they went with Solution 2. Bitcoin Block Half. Board of Governors of the Federal Reserve System.

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A more reasonable estimate for current ASIC shortage signals a setups is 30 days to can be accessed yubang mining bitcoins any. While easy to use for most users who have large web version of the software and actions. Awesome Miner was developed by advanced users, the lack rugby union betting explained sum a GUI may yubang mining bitcoins the software impenetrable to beginners. Awesome Miner is free to. Although bitcoin mining software is free, there are tremendous costs deeper fundamental weakness in the no technical skills. Bitcoin mining software is essentially. In general, it takes about. The software can handle multiple a dashboard that lets users same time including ASICs and strives for the highest journalistic to create new secure blocks. Designed for FPGA and ASIC mining, BFGMiner offers advanced users the opportunity to tweak many mining sector amid soaring revenues and activity. MultiMiner installs easily on Windows for Windows and Linux, the the software lets users mine, mine a single bitcoin.

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