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Faramarz Fereshteh-Saniee,S. Hassan Nourbakhsh,S. Mahmoud Pezeshki 대한기계학회 2012 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.26 No.1
This paper is concerned with application of artificial neural network (ANN) to the ring compression test for simultaneous determination of the flow curve of the material and the friction factor. The developed ANN model was trained using data from 700 finiteelement (FE) simulations of the ring test. The load curve of this test and the final internal diameter of the sample are the inputs for this ANN model and the outputs are the strength coefficient, strain hardening exponent and the friction factor. It was found that the outputs of the developed ANN model were in good agreement with the experimental results.
Hossein Khazaali,Faramarz Fereshteh-Saniee 한국정밀공학회 2019 International Journal of Precision Engineering and Vol.20 No.5
In the present investigation, the effects of the initial temperature of the sheet, tool diameter and vertical pitch on the final temperature, drawing depth, forming limit diagrams and thickness reduction, resulted from warm incremental forming of titanium sheets are investigated using the Taguchi method. The geometry of a truncated cone with varying wall angle was used for further reduction in the necessary experiments, materials and time. It was shown that any growth in the initial temperature of the sheet or vertical pitch would enhance the formability of the sheet due to the metal softening. The vertical pitch was also the main factor in increasing the final temperature, whereas the tool diameter was the most effective parameter for improving the drawing depth, the average of the major strains and thickness reduction. Moreover, the Sine law was applicable for estimation of final thickness of the incrementally deformed sheets.
Lotfi, Alireza,Mohammadi, Ghodrat,Saniee, Lale,Mousaviagdas, Mehrnoosh,Chavoshi, Hadi,Tavassoli, Atena Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.15
Background: Laryngeal cancer is an important malignancy in head and neck area and squamous cell carcinoma (SCC) is the most common type accounting for 95% of cases. Increase in matrix metalloproteinases (MMPs) in different tumors and their correlation with tumor invasiveness has been documented. However, most studies have evaluated MMP-2 and MMP-9 expression and few have evaluated serum levels. The aim of current study was to evaluate serum levels in patients with laryngeal SCC compared to normal subjects and assess any relation with tumor clinicopathological findings. Materials and Methods: In this case control study, 20 patients with oral SCC and 20 healthy subjects were included. Serum levels of MMP-2 and MMP-9 were compared between groups and correlations with findings including grade (T) and node involvement (N) were evaluated. Results: Patients with laryngeal SCC had significantly higher serum levels of MMP-2 (p=0.01) and MMP-9 (p=0.03) compared to healthy subjects. Patients with higher T stage (T3,4) had significantly higher MMP-2 (p=0.04) and MMP-9 (p=0.01). There was significant positive correlation between serum levels of MMP-2 with T stage (r=0.45, p=0.04) and lymph node involvement (r=0.563, p=0.01) and between levels of MMP-9 with T stage (r=0.527, p=0.01). Conclusions: Our results showed that compared to healthy subjects, both MMP-2 and MMP-9 are significantly increased in serum of laryngeal SCC cases. MMP-2 was correlated with lymph node involvement while MMP-9 has stronger correlation with T stage compared to MMP-2.
CADICA : Diagnosis of Coronary Artery Disease Using the Imperialist Competitive Algorithm
Zahra Mahmoodabadi,Mohammad Saniee Abadeh 한국정보과학회 2014 Journal of Computing Science and Engineering Vol.8 No.2
Coronary artery disease (CAD) is currently a prevalent disease from which many people suffer. Early detection and treatment could reduce the risk of heart attack. Currently, the golden standard for the diagnosis of CAD is angiography, which is an invasive procedure. In this article, we propose an algorithm that uses data mining techniques, a fuzzy expert system, and the imperialist competitive algorithm (ICA), to make CAD diagnosis by a non-invasive procedure. The ICA is used to adjust the fuzzy membership functions. The proposed method has been evaluated with the Cleveland and Hungarian datasets. The advantage of this method, compared with others, is the interpretability. The accuracy of the proposed method is 94.92% by 11 rules, and the average length of 4. To compare the colonial competitive algorithm with other metaheuristic algorithms, the proposed method has been implemented with the particle swarm optimization (PSO) algorithm. The results indicate that the colonial competition algorithm is more efficient than the PSO algorithm.
CADICA: Diagnosis of Coronary Artery Disease Using the Imperialist Competitive Algorithm
Mahmoodabadi, Zahra,Abadeh, Mohammad Saniee Korean Institute of Information Scientists and Eng 2014 Journal of Computing Science and Engineering Vol.8 No.2
Coronary artery disease (CAD) is currently a prevalent disease from which many people suffer. Early detection and treatment could reduce the risk of heart attack. Currently, the golden standard for the diagnosis of CAD is angiography, which is an invasive procedure. In this article, we propose an algorithm that uses data mining techniques, a fuzzy expert system, and the imperialist competitive algorithm (ICA), to make CAD diagnosis by a non-invasive procedure. The ICA is used to adjust the fuzzy membership functions. The proposed method has been evaluated with the Cleveland and Hungarian datasets. The advantage of this method, compared with others, is the interpretability. The accuracy of the proposed method is 94.92% by 11 rules, and the average length of 4. To compare the colonial competitive algorithm with other metaheuristic algorithms, the proposed method has been implemented with the particle swarm optimization (PSO) algorithm. The results indicate that the colonial competition algorithm is more efficient than the PSO algorithm.
Multi-Scaling Models of TCP/IP and Sub-Frame VBR Video Traffic
Erramilli, Ashok,Narayan, Onuttom,Neidhardt, Arnold,Saniee, Iraj The Korean Institute of Communications and Informa 2001 Journal of communications and networks Vol.3 No.4
Recent measurement and simulation studies have revealed that wide area network traffic displays complex statistical characteristics-possibly multifractal scaling-on fine timescales, in addition to the well-known properly of self-similar scaling on coarser timescales. In this paper we investigate the performance and network engineering significance of these fine timescale features using measured TCP anti MPEG2 video traces, queueing simulations and analytical arguments. We demonstrate that the fine timescale features can affect performance substantially at low and intermediate utilizations, while the longer timescale self-similarity is important at intermediate and high utilizations. We relate the fine timescale structure in the measured TCP traces to flow controls, and show that UDP traffic-which is not flow controlled-lacks such fine timescale structure. Likewise we relate the fine timescale structure in video MPEG2 traces to sub-frame encoding. We show that it is possibly to construct a relatively parsimonious multi-fractal cascade model of fine timescale features that matches the queueing performance of both the TCP and video traces. We outline an analytical method ta estimate performance for traffic that is self-similar on coarse timescales and multi-fractal on fine timescales, and show that the engineering problem of setting safe operating points for planning or admission controls can be significantly influenced by fine timescale fluctuations in network traffic. The work reported here can be used to model the relevant characteristics of wide area traffic across a full range of engineering timescales, and can be the basis of more accurate network performance analysis and engineering.
Serum Levels of MMP9 and MMP2 in Patients with Oral Squamous Cell Carcinoma
Lotfi, Alireza,Mohammadi, Ghodrat,Tavassoli, Atena,mousaviagdas, Mehrnoosh,Chavoshi, Hadi,Saniee, Lale Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.4
Background: Squamous cell carcinoma (SCC) is the most common cancer in the oral area. Matrix metalloproteinases (MMPs) and especially MMP-2 and MMP-9 are increased in malignancy and lymph node involvement in oral SCCs. We aimed to evaluate the serum levels of MMP-2 and MMP-9 in patients with oral SCC compared to normal subjects and their relation with clinicopathological findings. Materials and Methods: In this case control study, 20 patients with oral SCC and 20 healthy subjects were included and serum levels of MMP-2 and MMP-9 were compared between groups. Also, the correlation between these markers with clinicopathological findings including grade (T) and node (N) were evaluated. Results: Patients with oral SCC had significantly higher serum levels of MMP-2 (p=0.01) and MMP-9 (p<0.001) compared to healthy subjects. With increase in grade T, MMP-2 was significantly increased (p=0.001), but in the MMP-9 case this was not significant (p=0.27). The levels of MMP-2 (p=0.002) and MMP-9 (p=0.01) in cases with lymph node involvement and that of MMP-2 in subjects with smoking history (p=0.001) were significantly high. There was significantly positive correlation between MMP-2 with grade T tumor (r=0.598, p=0.005), lymph node involvement (r=0.737, p<0.001) and smoking (r=0.674, p=0.001) and also between MMP-9 and lymph node involvement (r=0.474, p=0.03). Conclusions: Both markers are significantly increased in oral SCC compared to healthy subjects. However, MMP-2 was better for evaluating lymph node involvement and tumor grade.
Data Transfer among Urology Research Centers in Universities of Medical Sciences
Abdolhossein Ayoubi,Mohammad Sadegh Sanie,Moharram Kazemi,Saman Sobh Heydari 보안공학연구지원센터 2016 International Journal of Bio-Science and Bio-Techn Vol.8 No.1
This paper studies Health Information System (HIS) for administrative automation by the use of library and internet resources .The Goal is to identify valid urology research centers in the country so that scientific communications be increased; indeed idea exchange, technology and up-to-date urology knowledge be achieved .Thus, we will be able to promote the science level and to search novel diagnostic methods and to treat urology diseases especially kidney disease. There have been some collaborations with executive-research centers in the country in order to do some researches in urology field of study [1]. The method applied here is making use of different data transfer styles to clarify which one is suitable for urology research centers. Finally, it can be declared as conclusion that an available health information system brings a better decision making in the treatment processes and develops therapeutic results. The contribution of this study is significant when management of Information is on the focus in health systems.