OALib Journal期刊

ISSN: 2333-9721




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匹配条件: “Jamal Mehralipour” ,找到相关结果约964条。
Performance of fluoride adsorption by snail shell in aqueous
Ghorban Asgari,AbdolMotaleb Seid Mohammadi,Jamal Mehralipour,Adel Ahmadzadeh
Pajouhan Scientific Journal , 2013,
Abstract: Introduction: Fluoride in low concentration is essential for human but in high concentration is very hazardous for human health. The efficacy of Snail Shell (SS) was investigated in this research work as an adsorbent for the elimination of fluoride from aqueous.Material and Methods: In this experimental study, the capability of SS to adsorb fluoride ions was conducted using a series of batch tests in a shaker-incubator instrument. For each batch run, 100 mL of solution containing a known initial concentration of Fluoride and with the preferred level of pH was shacked. The effects of selected parameters such as pH (3-11), reaction time (5–60 min) cyanide concentrations (5–10 mg/L) and the adsorbent dosage (0.25–2.5 g/L) were investigated on the removal fluoride as a target contaminate. Chemical composition SS were analyzed using a Philips model XL-30 scanning electron microscope (SEM) with energy-dispersive X-ray microanalysis (EDX). The concentration of Fluoride in solution before and after treatment was determined using the HACH method.Results: Analysis of the SS component using the EDX technique showed that the main part of it consisted of calcium and its other components were magnesium, aluminum and silicate. The experimental data showed that the maximum fluoride removal occurred at pH of 7, adsorbent dose (0.5 g/L) and 30 min contact time and 5 mg/lit initial concentration. The kinetic evaluation indicated that the pseudo-second-order kinetic had the best fit to the experimental results predicting a chemisorption process. The equilibrium adsorption of fluoride onto SS was well represented by the Langmuir equation.Conclusion: As a result, SS was revealed as a very efficient and low-cost adsorbent and a promising option for removing fluoride from industrial wastewaters.
A Self-Optimization of the Dynamic Resource Management Based on the Cognitive Radio  [PDF]
Jamal Raiyn
Wireless Engineering and Technology (WET) , 2011, DOI: 10.4236/wet.2011.22012
Abstract: This paper describes a novel self-optimized approach for resource management based on the cognitive radio in the cellular networks. The cognitive radio techniques offer several features like autonomy, sensing and negotiation. The use of cognitive radio approach gives greater autonomy to the base stations in the cellular networks. This autonomy allows an increase in flexibility to deal with new situations in the traffic load. The negotiation strategy is used to avoid conflicts in the resource allocation. The goal of the cognitive radio scheme is to achieve a high degree of resource usage and a low rate of call blocking in the cellular systems.
Developing E-society Cognitive Platform Based on the Social Agent E-learning Goal Oriented  [PDF]
Jamal Raiyn
Advances in Internet of Things (AIT) , 2011, DOI: 10.4236/ait.2011.11001
Abstract: In this paper we introduce the e-society cognitive approach based on the social agent. The social Agent is e-learning oriented. The e-society cognitive platform may consider different fields like e-learning, e-health, e-commerce, e-medicine, and e-government. In this paper we will introduce the e-society platform. The e-society platform supports the educational and pedagogical aspects. The e-society is based on the agent technologies. The social agents offer impressive, meaningful and several features as autonomy, manage ne-gotiation, and make decision. The e-society cognitive platform consists of three main layers: social agents, beliefs, and tools for application layer. The goal of the e-society platform is to increase the perceiving of the transportation education in the school.
Spectrum Efficiency Improvement Based on the Cognitive Radio Management  [PDF]
Jamal Raiyn
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2010, DOI: 10.4236/ijcns.2010.33036
Abstract: Interference and delay are considered as the major reasons limiting the capacity and increasing the new call blocking probability in cellular system. In this paper we introduce a novel strategy based on cognitive radio. Cognitive radio is defined as a radio or system that senses its environment and can dynamically and autonomously change its transmitter parameters based on interaction with the environment in which it operates, such as maximize throughput and reduce interference. The goal of the use of cognitive radio is to improve the spectrum efficiency in cellular system. Spectrum management based on radio cognitive plays thereby an important role to increase the capacity of the radio systems and spectrum utilization, especially in the context of open spectrum.
Detection of Objects in Motion—A Survey of Video Surveillance  [PDF]
Jamal Raiyn
Advances in Internet of Things (AIT) , 2013, DOI: 10.4236/ait.2013.34010

Video surveillance system is the most important issue in homeland security field. It is used as a security system because of its ability to track and to detect a particular person. To overcome the lack of the conventional video surveillance system that is based on human perception, we introduce a novel cognitive video surveillance system (CVS) that is based on mobile agents. CVS offers important attributes such as suspect objects detection and smart camera cooperation for people tracking. According to many studies, an agent-based approach is appropriate for distributed systems, since mobile agents can transfer copies of themselves to other servers in the system.

Developing Online Course Based on Interactive Technology Tools  [PDF]
Jamal Raiyn
Advances in Internet of Things (AIT) , 2014, DOI: 10.4236/ait.2014.43003
Many people still believe that good teachers are born and not made. Others believe that good teachers figure out how to teach in their own classrooms. We believe that good teachers can be born again in the digital world. The digital world gives teachers powerful, new ideas, strong content, plentiful pedagogy, and connection to virtual schools in real-time. Furthermore the new kind of e-learning environment gives the teacher a new mission. The new kind of e-learning contributes to producing students who are strong thinkers and novel problem solvers. This paper introduces new learning tools based on cloud computing technologies. Furthermore we present innovative learning tools based on interactive e-learning environment.
Distributed Frequency Assignment Using Hierarchical Cooperative Multi-Agent System  [PDF]
Jamal Elhachimi, Zouhair Guenoun
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2011, DOI: 10.4236/ijcns.2011.411089
Abstract: Recent demand for wireless communication continues to grow rapidly as a result of the increasing number of users, the emergence of new user requirements, and the trend to new access technologies. At the same time, the electromagnetic spectrum or frequencies allocated for this purpose are still limited. This makes solving the frequency assignment problem more and more critical. In this paper, a new approach is proposed using self-organizing multi-agent systems to solve distributed dynamic channel-assignment; it concerns distribution among agents which task is to assign personal station to frequencies with respect to well known constraints. Agents only know their variables and the constraints affecting them, and have to negotiate to find a collective solution. The approach is based on a macro-level management taking the form of a hierarchical group of distributed agents in the network and handling all RANs (Regional Radio Access Network) in a localized region regardless of the operating band. The approach defines cooperative self-organization as the process leading the collective to the solution: agents can change the organization by their own decision to improve the state of the system. Our approach has been tested on PHEADEPHIA benchmarks of frequency assignment Problem. The results obtained are equivalent to those of current existing methods with the benefits that our approach shows more efficiency in terms of flexibility and autonomy.
Area and Timing Estimation in Register Files Using Neural Networks  [PDF]
Assim Sagahyroon, Jamal Abdalla
Circuits and Systems (CS) , 2012, DOI: 10.4236/cs.2012.33037
Abstract: The increase in issue width and instructions window size in modern processors demand an increase in the size of the register files, as well as an increase in the number of ports. Bigger register files implies an increase in power consumed by these units as well as longer access delays. Models that assist in estimating the size of the register file, and its timing early in the design cycle are critical to the time-budget allocated to a processor design and to its performance. In this work, we discuss a Radial Base Function (RBF) Artificial Neural Network (ANN) model for the prediction of time and area for standard cell register files designed using optimized Synopsys Design Ware components and an UMC130 nm library. The ANN model predictions were compared against experimental results (obtained using detailed simulation) and a nonlinear regression-based model, and it is observed that the ANN model is very accurate and outperformed the non-linear model in several statistical parameters. Using the trained ANN model, a parametric study was carried out to study the effect of the number of words in the file (D), the number of bit in one word (W) and the total number of Read and Write ports (P) on the latency and area of standard cell register files.
The Wave Properties of Zuara Coast and Their Effects on the Marine Navigation  [PDF]
Jamal Algraeo, Samir Bouaziz
Open Journal of Marine Science (OJMS) , 2013, DOI: 10.4236/ojms.2013.32010

Waves are the most important phenomena affecting marine navigation, either in the field of fishing, military or transporting of goods. This paper tries to answer the following important questions: What are the causes and types of waves in the coast of Zuaracity? What are their characteristics? And how do those waves affect the marine navigation and human activities on this coast? The research finds significant results devoted in that: the coast is exposed to on type of waves; wind waves. Zuara coast has never been exposed to waves of Tsunami or landslides. The largest size of the wave forms in winter season due to the wind of north-west which is the fastest wind type that the Libyan coast is exposed to. However, the highest speed is up to 65 knots accompanied with waves reach a height of more than 7 meters. The research also classifies the wind speeds that lead to cancelling ships and boats trips that depend on this work is studying the waves in Zuara coast and the relationship with the waves of Libyan coast and Mediterranean sea. Also, it focuses on the effect of waves on boat speed, design, fuel consumption, and other effects.

PSO for CWSN Using Adaptive Channel Estimation  [PDF]
Jamal S. Rahhal
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2013, DOI: 10.4236/ijcns.2013.611049

Wireless Sensor Network (WSN) is used in various applications. A main performance factor for WSN is the battery life that depends on energy consumption on the sensor. To reduce the energy consumption, an energy efficient transmission technique is required. Cluster Wireless Sensor Network (CWSN) groups the sensors that have the best channel condition and form a MIMO system. This leads to enhancing the transmission and hence reducing energy consumed by the sensor. In CWSN systems multiple signals are combined at the transmitter and transmitted by using multiple antennas according to channel condition. CWSN requires a good estimation of the Channel State Information (CSI) to implement a powerful and efficient system. Channel Estimation technique should be used to better form the CWSN and make use of the MIMO features. Adaptive Channel Estimation (ACE) is used to enhance the BER performance of the CWSN by utilizing the retransmission feature devised in this paper and feeding the CSI obtained to further enhance the clustering algorithm. We use Particle Swarm Optimization (PSO) algorithm to find the optimal cluster members according to a fitness function that derived from the channel condition. Too many calculations and operations are required in exhaustive search algorithms to form the optimal cluster arrangement. It shows that optimal cluster formation can be implemented fast and efficiently by using the PSO.


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