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H. Ghoudjehbaklou and S. Salamatian,
Volume 18, Issue 2 (7-1999)
Abstract


Gh. A. Montazer, H.r. Momeni and A.kh. Sedigh,
Volume 18, Issue 2 (7-1999)
Abstract


S. Gh. Etemad and F. Bakhtiari,
Volume 18, Issue 2 (7-1999)
Abstract


A.r. Khaloo and R. Morshed,
Volume 18, Issue 2 (7-1999)
Abstract


A. A. Fakhimi, M. Haji Azizi and H. Moharrami,
Volume 18, Issue 2 (7-1999)
Abstract


N. Talebbeydokhti and A.p. Zanjaninassab,
Volume 18, Issue 2 (7-1999)
Abstract


B. Firoozabadi, B. Farhanieh and M. Rad,
Volume 18, Issue 2 (7-1999)
Abstract


M.s. Marefat and M. Vafaei,
Volume 18, Issue 2 (7-1999)
Abstract


M.j. Khanjani, G.a. Barani, M.r, Rahmanian and M. Sajedi,
Volume 18, Issue 2 (7-1999)
Abstract


A. R. Azimian and S. Mohammadivand,
Volume 18, Issue 2 (7-1999)
Abstract


M. Milimonfared, K. Abbaszadeh, M. Menhaj and H. Kazemy,
Volume 18, Issue 2 (7-1999)
Abstract


R. Azmi and E. Kabir,
Volume 18, Issue 2 (7-1999)
Abstract


G. Mirjalily, M. R. Aref, M. M. Nayebi and M. Kahrizi,
Volume 19, Issue 1 (7-2000)
Abstract

In a detection network, the final decision is made by fusing the decisions from local detectors. The objective of that decision is to minimize the final error probability. To implement and optimal fusion rule, the performance of each detector, i.e. its probability of false alarm and its probability of missed detection as well as the a priori probabilities of the hypotheses, must be known. However, these statistics are usually unknown or may vary with time. In this paper, we develop a recursive algorithm that adapts the fusion center. This approach is based on the time-averaging of local decisions and on using the analytic solutions that guarantee the asymptotic convergence. Also a simple method is proposed that enables the algorithm to track changes faster. Simulation results are presented to demonstrate the efficiency and convergence properties of the algorithm.
R. Roustaazad, K. Golshan and S. J. Hashemian,
Volume 19, Issue 1 (7-2000)
Abstract

The start up dynamics of a one-million and two-hundred-thousand liter anaerobic digester of municipal waste treatment sludge was studied. In the digester, mixing was accomplished by circulation of the produced biogas at a rate of 0.13 m3 per hour of the digester volume per hour. During the nine-month study, no serious phenomena of foaming, getting sour, temperature fall, etc. were observed despite the fact that there were problems including gas leakage, sludge leakage, heating system shortcomings and weak mixing system. In the process of digestion of a 3:1 mixture of primary and secondary sludge at a rate of 25 m3/day, 25˚C and a residence time of 48 days, volatile content removal was as high as 60%. The experimental data collected in this study was checked against a theoretical model already published in the literature and a good comparison was observed between the measured values and those calculated based on this model.
M. A. Golozar and R. Bagheri,
Volume 19, Issue 1 (7-2000)
Abstract

In this paper , the effect of curing time and temperature as well as various primers on durability of high density polyethylene on plain carbon steel have been investigated. The aim is to increase adhesion, improve durability and also to produce a defect-free in order to improve the corrosion resistance of steel substrate. For this purpose, after surface preparation and applying a primer (zinc phosphate, polyvinylalcohol, resol, stearic acid, and polyurethane) polymer coating was applied using electrostatic powder coating system. Coatings having 300 µ thickness were produced and then subjected to primary and secondary curing treatments. In addition to adhesion, ductility, and corrosion tests, quality of coatings were studied using scanning electron microscopy. The results obtained revealed that, surface porosity and uniformity of metal/coating interface is a function of curing time and temperature, as well as of the primers used. The best results obtained after curing for 45 min at 230˚C. The effects of primers were as following: no primers
M. Amin-Nayeri and G. Moslehi,
Volume 19, Issue 1 (7-2000)
Abstract

The problem of determining the sequence of a set of jobs with the objective function of minimizing the maximum earliness and tardiness in one machine is studied. Production systems like JIT are one of the many applications of the problem. This problem is studied in special cases and their optimal solutions are introduced with simple orders. In general, some effective conditions for neighboring jobs have been developed and the dominant set for the optimal solution is determined. Branch and Bound (BB) method is also used for this problem. The strong upper and lower limits are introduced in BB, resulting in optimal solutions to a lot of problems in short time periods. To show the effectiveness of the suggested solution methods, as many as 720 problems in different sizes, with 5 to 100 jobs, have been randomly generated and solved.
M. Modarres and F. Madani,
Volume 19, Issue 1 (7-2000)
Abstract

In this research, a new method for market-product strategic planning is presented. In this method, an expert system is designed on the basis of identifying important factors that are effective in a firm and analyzing the logical relations between them. The objective is to develop a decision support system (DSS) for helping managers to make strategic decisions. DDS can serve as suitable replacement for the existing methods which are mostly qualitative. The output of the system is a software, which takes as input simple information on independent factors to provide a final strategy as output. To verify the system, it has been tested with the real data from and industrial firm.

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