Non –Hydrocarbon gases as Cushion Gas for Natural Gas Storage

Non –Hydrocarbon gases as Cushion Gas for Natural Gas Storage

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Part of #Non –Hydrocarbon gases as Cushion Gas for Natural Gas Storage# :

Publishing year : 2011

Conference : 7th National Congress of Chemical Engineering

Number of pages : 6

Abstract: Natural gas consumption in the last 3 decades has significantly increased. During this period gas has gained the first rank among fossil fuels. Natural gas is a vital component of the world's energy basket. It is one of the cleanest, safest and most efficient sources of energy. To 27 percent in 2030. The increase in trend is largely attributable to some technical, economic and environmental benefits compared to oil consumption. Whether in a waterbed or depleted reservoirs storage, the pad gas is a significant component of the investment needed to develop Storage project. The use of inert gas or carbon dioxide is a promising technique with the potential to significantly reduce storage investment costs. The reservoir simulations of methane injection into a model gas storage reservoir with carbon dioxide as a cushion gas show that more working gas can be stored. As compared to a native gas cushion.

Reuse of wastewater of aquaculture to increase production of earth ponds of rainbow trout (Oncorhynchus Mykiss)

Reuse of wastewater of aquaculture to increase production of earth ponds of rainbow trout (Oncorhynchus Mykiss)

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Part of #Reuse of wastewater of aquaculture to increase production of earth ponds of rainbow trout (Oncorhynchus Mykiss)# :

Publishing year : 2009

Conference : First International Conference on Wastewater Recycling and Water Recycling, Technologies and New Discoveries

Number of pages : 6

Abstract: This study was carried out in a brewer's water farm in Bafgh, to reuse the water from ponds in order to increase production in rainbow trout land farms. It was performed in 2 treatments with 2 replications. For this purpose, were made four 0.5ha earth ponds (two of those with 30 m3 round cement ponds at the end and others without cement tanks). The wastewater from culture of the ponds has flooded in cement ponds through pumping and gravity. The cement ponds are aerated with a splash aerator during nights. The average initial weight of fish for stocking in all ponds was 25 g and the density of stocking was respectively one and 70 fish per square in the pond and cement pond respectively. During a period of about 120 days, the water temperature and salinity were 14 4 C and 12.8 1 g / l, respectively. The results of some chemical factors measuring in cement ponds indicate that none of them was critical during the culture period. There were significant differences between treatments on some growth factors (p <0/05). According to the results, through reuse of land ponds wastewater, yield and production income increased by up to 31% and 41%, respectively.

A High Speed, Low Power Four-Quadrant CMOS Multiplier in Current-Mode to Realize the Simplified Center-of-Gravity Defuzzifier

A High Speed, Low Power Four-Quadrant CMOS Multiplier in Current-Mode to Realize the Simplified Center-of-Gravity Defuzzifier

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Part of #A High Speed, Low Power Four-Quadrant CMOS Multiplier in Current-Mode to Realize the Simplified Center-of-Gravity Defuzzifier# :

Publishing year : 2007

Conference : First Joint Congress on Fuzzy Systems and Intelligent Systems

Number of pages : 6

Abstract: In this paper, a new CMOS current-mode four-quadrant analog multiplier based on a squarer circuit is proposed, which is applicable to the realization of the Center-of-Gravity defuzzification strategy. The major advantages of this work are low power consumption, high speed and high precision. Current mode realization of the circuits leads to simple configurations. The circuit is designed and simulated using the HSPICE simulator by level 49 parameters (BSIM3v3) in 0.35m standard CMOS technology. The simulation results of the defuzzifier show a linear error of 1.1%, a THD of 0.97% in 1MHz, a -3dB bandwidth of 41.8MHz and a maximum power consumption of 0.34mW.

INSVis: an Interactive visual browser for searching coauthor network

INSVis: an Interactive visual browser for searching coauthor network

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Part of #INSVis: an Interactive visual browser for searching coauthor network# :

Publishing year : 2014

Conference : Second National Conference on Applied Research in Computer Science and Information Technology

Number of pages : 9

Abstract: Information visualization is based on the fact that the human visual system has a great talent for recognizinginformation patterns. The web-based open source analysis and visualization is valuable today for the understanding of social networks. This research proposes an approach to facilitate social networking. The paper describes the implementation of the approach called INSVis tool. The Interactive GUI for analytical network and knowledge maps of this visualizer are useful for vaccine researchers to recognize previous students' knowledge without browsing articles. Results from the RAZI Vaccine and Serum Research Center indicate that, in comparison with the benchmark system, knowledge maps supported by a quicker understanding of information are acceptable to scientists.

N-gram Adaptation Using Dirichlet Class Language Model Based on Part-of-Speech for Speech Recognition

N-gram Adaptation Using Dirichlet Class Language Model Based on Part-of-Speech for Speech Recognition

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Part of #N-gram Adaptation Using Dirichlet Class Language Model Based on Part-of-Speech for Speech Recognition# :

Publishing year : 2013

Conference : 21st Iranian Conference on Electrical Engineering

Number of pages : 5

Abstract: Language model plays an important role in automatic speech recognition (ASR) systems. The performance of this model depends on its adaptation to the linguistic features. Accordingly, adaptation methods endeavor to apply syntactic and semantic characteristics of the language for languagemodeling. The previous adaptation methods, such as the family of the Dirichlet class language model (DCLM), extract the class of historical words. These methods due to the lake of syntactic information arenot suitable for high morphology languages such as Farsi. This work proposes an idea for using syntactic information such aspart-of-speech (POS) in DCLM for combining with an n-gram language model. In our proposed approach, word clustering isbased on POSs of previous words and history words. The performance of the language models is evaluated on the BijanKhan corpus using a hidden Markov model-based ASR system. Our experiments show that using POS information along with historical words and class of historical words is a mproves language model, and reduces the perplexity of our corpus. Exploiting POS information along with DCLM, the word error rate of the ASR system decreases by 1% in comparison with DCLM.

CFD simulation of industrial combustion using appropriate turbulencechemistry and radiation models

CFD simulation of industrial combustion using appropriate turbulencechemistry and radiation models

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Part of #CFD simulation of industrial combustion using appropriate turbulencechemistry and radiation models# :

Publishing year : 2009

Conference : Sixth International Congress of Chemical Engineering

Number of pages : 5

Abstract: In this paper, a three-dimensional CFD simulation of industrial steam cracking furnace has been carried out. A systematic study was conducted to identify appropriate models for turbulence-chemical interaction and radiative heat transfer (RHT) in the furnace. The calculation of the Damkhler number and optical-thickness showed that the best approach to modeling industrial combustion was to apply a fast-chemistry model for turbulence-chemistry interactions and the P-1 model for RHT. To investigate the predictability of the CFD model, experimental dataavailable in the literature was applied. The results showed that the model could reasonably predict the diffusion temperature distribution and flow pattern throughout the furnace. An alternative furnace design was also studied to evaluate the possibility of improving the furnace thermal efficiency. The simulation results showed significant improvements in temperature distribution on reactor tubes.

A new modeling for multicriteria single machine scheduling:A Genetic Algorithm approach

A new modeling for multicriteria single machine scheduling:A Genetic Algorithm approach

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Part of #A new modeling for multicriteria single machine scheduling:A Genetic Algorithm approach# :

Publishing year : 2010

Conference : 7th International Conference on Industrial Engineering

Number of pages : 10

Abstract: This research is a new modeling of a single-machine scheduling problem with the goal of minimizing the summation of the weighted earliness and tardiness, subject to the number of tardy jobs where the due dates are variable. We use a heuristic algorithm (GA) and a branch and bound algorithm to solve the problem. The results obtained from the computational study have shown that heuristic algorithm is effective in terms of solution quality in many cases while branch and bound algorithm is effective for medium-size problems

Investigating Narratological Time Shift Patterns in James Joyce’s A Portrait of the Artist as a Young Man

Investigating Narratological Time Shift Patterns in James Joyce’s A Portrait of the Artist as a Young Man

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Part of #Investigating Narratological Time Shift Patterns in James Joyce’s A Portrait of the Artist as a Young Man# :

Publishing year : 2015

Conference : Third International Conference on Applied Research in Language Studies

Number of pages : 10

Abstract: One of the main issues in narrative is the concept of time. The centrality of time is echoed in the Ricouers (1984) debate when he says narratives are one of many ways by which time can be actualized. The present study is to investigate the concept of time as well as the shift of time in A Portrait of the Artist as a Young Man (A Portrait) in the light of the Genettes (1980) model. Being a moden novel, A Portrait travels through the experiences of its narrator using the stream of consciousness technique. Time takes the reader back and forth immersing him / her in the narrator's experience. It becomes frozen in some parts while expands in other parts, by detailed descriptions of a moment of its narrator's feelings, thoughts, and experiences. For all these, this study will focus on this novel from the point of view of time and temporal shifts. The article tries to show the instances as well as the quality of time shifts. For this, the Genettes model of time is considered: the three techniques of order (analepsis and prolepsis), duration (pause, scene, ellipse, summary, and stretch), and frequency (singulative, repetitive, and iterative). The results show that all the components of the Genettes model have been shifted. The most time shift instances in each category were: analepsis (37 times), pause (118 times), iterative frequency (53 times). This shows the predominant use of the pause in this novel, which is also a novel of stream of consciousness, too. Pause is mainly hired to describe the protagonists (Stephen) state of mind and what he thinks

An Efficient Fast Algorithm to Select the Best Spanning Tree in Metro Ethernet Networks

An Efficient Fast Algorithm to Select the Best Spanning Tree in Metro Ethernet Networks

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Part of #An Efficient Fast Algorithm to Select the Best Spanning Tree in Metro Ethernet Networks# :

Publishing year : 2011

Conference : 19th Iranian Conference on Electrical Engineering

Number of pages : 5

Abstract: Ethernet networks rely on the Spanning Tree Protocol (STP), which guarantees a loop-free tree topology in the network. STP does this task by pruning the redundant links. This protocol does not have any traffic engineering mechanism for load balancing since the tree construction in this protocol is based only on the shortest path criterion. In this paper, we propose an efficient fast algorithm to find the best spanning tree by modeling and solving objective functions based on load balancing criteria. By using this objective we can balance traffic load on links and switches. Finally, through some simulations on a typical network, we show the effectiveness of our approach.

Optimal Active Control of Structural Vibration by Classic and Adabtive Fuzzy Smart Algorithms

Optimal Active Control of Structural Vibration by Classic and Adabtive Fuzzy Smart Algorithms

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Part of #Optimal Active Control of Structural Vibration by Classic and Adabtive Fuzzy Smart Algorithms# :

Publishing year : 2015

Conference : 10th International Congress of Civil Engineering

Number of pages : 13

Abstract: Erecting tall buildings, especially in big cities where space limitation for developing residential areas is a prevailing problem has become a growing concern for many governments in recent years. What is important to consider about these buildings is the fact that they mostly consist of light and very flexible materials. The low ratio of damping to energy absorption of these structures leads to the creation of a vast altitude of vibration even with the occurrence of mid-level earthquakes. Therefore, considering large investments in erecting such buildings and significant revenue generated by such investments, using control systems with relatively lower costs would be justified. The present study aims at evaluating classic (LQR, Pole Assignment) and fuzzy logic control (FLC) models for their control capabilities against a earthquake (Elcentro) in an eleven-stored building and then determining an appropriate control system for this structure in two different conditions .