Heavy metal contamination by chemical processing industries is detrimental to aquatic life. In this study, a factorial experimental design technique was used to optimize the chromium removal through biosorption from synthetic solution using Sapindus trifoliatus fruit powder (soapnut) as adsorbent. The process was analyzed and modeled using factorial design 24. The four process parameters considered were pH, metal concentration, soapnut concentration and soapnut particle size at two different levels of pH (4.0 and 8.0), metal concentration (100 and 500 mg/L), Soapnut concentration (5 and 10 g) and soapnut particle size (3 and 12 mm). Experiments were carried out in a bubble column system with working volume of 2L. The efficiency of chromium removal during an exposition time of 72 h was studied. The results were statistically analyzed using the Student’s t-test and analysis of variance to define the most important process variables affecting the chromium removal efficiency. It was observed that the most significant factor affecting Cr(VI) was ascribed to metal concentration.

In this article, an Intelligent Decision System (IDS) is proposed for reducing block call rate in Wideband Code Division Multiple Access (WCDMA). Firstly, the network environment was characterized and parameters that impact on network accessibility studied. From the characterization result, the software related causes of block calls were studied and grouped into cases. We further developed an IDS model that links the various network states and generate an output under a transfer function. The IDS uses cases from previous experience to predict and resolve the network snags that led to block calls. Also, the system performance was validated by comparing the data obtained from real life network with that of simulation and the result shows a great improvement on the system. The novel aspect of our research are the development of a model linking all the network parameters and developing an intelligent decision system that reduces block call in a WCDMA network.

Air pollution is one of the main environmental problems in Tehran capital of Iran. Every day, a huge volume of exotic and destroying gases and different kinds of dangerous pollutants are added to the city air by cars, heavy vehicles, motorcycles, small workshops activities and garbage burners of hospitals. A hazardous complex is made by different types of carbon and nitrogen monoxides, sulfurs and solid particles of lead create such a harmful complex which is able to expose civilian’s lungs, eyes, skin to kill poisonous compounds made by the secondary and primary reactions. In fact, there is an exceeding number of those suffering from cancer, eyes, skin and pulmonary diseases. Carbon monoxide, nitrogen and sulfur oxides, ozone, and floating solar particles were studied as a monthly average within 12 months of a five- year statistical period. For each month the amount of the correlation the coefficient the hazardous pollutions with monthly average the number of pulmonary patients in Imam Hussein Hospital located in the east of Tehran has been determined in the same five- year- statistical period. Neural network models have been applied to predict the pollutants concentration for the next months. Since the correlation coefficients were in the best conditions, regressive relationships have been applied to predict the number of patients in Tehran and estimated the rate of the environmental destructive effects.

With the ever-growing preference of the WCDMA technology, poor signal quality continues to affect the performance of 3G network. The paper uses a Solution Algorithm Embedded in a System Program (SAESP) to improve signal quality in the WCDMA network. This was done by characterizing the radio environment to identify factors that affected the Quality of Service (QoS). The parameters that triggered network snags were used to model a software based intelligent system which was done in an algorithmic approach. The result from the Solution Algorithm Embedded in a System Program (SAESP) showed an improvement of 33.60% on the signal quality of the test route.

Concrete, the most common construction material which has less tension capacity. And, a light weight concrete has many application in construction industry now a days due to its provision of less dead load, improvement for seismic structural response, suitability for transporting, and handling economically. Reinforcing material such as natural fiber, can be used to increase crack control and ductility by reducing the tendency of brittleness of concrete. The objective of this study was to evaluate the density, and tensile strength with its correlation with compressive strength of normal weight and lightweight concrete produced when incorporating with sugarcane bagasse fiber. The study has great significance in developing new advanced concrete product which has reduced density and high ductility with reduced crack. Furthermore, the usage of sugarcane in construction can reduce of environmental pollution. Sugarcane fibers extracted from bagasse by manually was used in volume fraction of 0%, 0.5%, 1.0%, and 1.5% in terms of weight of cement in mix with average fiber length of 25mm. In this study, lightweight aggregate (scoria) was used by replacing the normal weight aggregate by 50% and semi-lightweight concrete achieved. In order to obtain the output of the objective of the study, total of 48 cubes, 48 beams, and 48 cylinder specimens was prepared, and the tests performed on 7th and 28th days curing period. As result of the testing showed that the increase of fiber decreased the unit weight of concrete with light weight aggregate, but it is not uniform for normal weight concrete. The optimum value containing addition of sugarcane bagasse fiber is 0.5% due to flexural and split tensile strength with a little impact on compressive strength. Therefore, the use of sugarcane fiber in concrete is suitable for addition that do not exceed 0.5% of the concrete mixture.

This article presents an algorithm for the generation of S-boxes with the maximum algebraic immunity and high nonlinearity. The algorithm is founded method of the permutation of output element of S-box. On basis of the proposed method, S(8x8)-box created, with the algebraic immunity 3 (441) and nonlinearity 104. The algorithm given in this article can be used for oscillation of S(8x8)-boxes with the increased resistance to algebraic, to algebraic, linear, differential and differential-linear methods of a cryptanalysis, for block symmetric algorithms of encryption.