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RISS 인기검색어
- 검색키워드
- 저자 : Vahid Izadi (검색결과 3 건)
- 무료
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Vahid Izadi,Amir H. Ghasemi 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.10
The main objective of this paper is to establish a framework to study the co-adaptation between humans and automation systems in a haptic shared control framework. We specifically used this framework to design control transfer strategies between humans and automation systems to resolve a conflict when co-steering a semi-automated ground vehicle. The proposed framework contains three main parts. First, we defined a modular structure to separate partner-specific strategies from task-dependent representations and use this structure to learn different co-adaption strategies. In this structure, we assume the human and automation steering commands can be determined by optimizing cost functions. For each agent, the costs are defined as a combination of a set of hand-coded features and vectors of weights. The hand-coded features can be selected to describe task-dependent representations. On the other hand, the weight distributions over these features can be used as a proxy to determine the partner-specific conventions. Second, to leverage the learned co-adaptation strategies, we developed a map connecting different strategies to the outputs of human-automation interactions by employing a collaborative-competitive game concept. Finally, using the map, we designed an adaptable automation system capable of co-adapting to human driver’s strategies. Specifically, we designed an episode-based policy search using the deep deterministic policy gradients technique to determine the optimal weights vector distribution of automation’s cost function. The simulation results demonstrate that the handover strategies designed based on co-adaption between human and automation systems can successfully resolve a conflict and improve the performance of the human automation teaming.
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Experimental and numerical study of piston thermal management using piston cooling jet
Mohammad Izadi Najafabadi,Mostafa Mirsalim,Vahid Hosseini,Shahabeddin Alaviyoun 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.3
This research investigates the effects of piston cooling jet (PCJ) on the temperature and heat transfer of a piston. A numerical modelwas developed by using the computational fluid dynamic approach in which the fluid and solid domains of the piston were coupled in athree-dimensional space. Two-phase flow of oil and air was also simulated. This method was used to analyze the effects of oil velocityand piston position on the heat transfer coefficient at the bottom of the piston as the new outcomes of this study. For the experiment,combustion heat flux on the piston was simulated in a test rig, and numerical results were validated. The results showed a linear relationbetween the oil jet velocity and the average of heat transfer coefficient at the bottom of the piston, and a periodic correlation between thepiston’s vertical position and the average of heat transfer coefficient. The average of the piston crown temperature could be reduced toabout 70 K by using the PCJ system, but this cooling method could create 50 K temperature gradient in the piston.
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New Gene Profiling in Determination of Breast Cancer Recurrence and Prognosis in Iranian Women
Poorhosseini, Seyed Mohammad,Hashemi, Mohammad,Olyaei, Nasrin Alipour,Izadi, Amir,Moslemi, Elham,Ravesh, Zeinab,Hashemi-Gorji, Feyzollah,Kheiri, Hamid Reza,Yassaee, Vahid Reza Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.no.sup3
Breast cancer (BC) is the second most common cancer in the world and by far the most frequent cancer among women, with an estimated 1.67 million new cancer cases diagnosed in 2012 (25% of all cancers). Polygene expression analysis is used to predict the prognosis and determine the most appropriate treatment regimen. The objective of this study was to examine the gene expression profiles of SIRT3, HRAS, LSP1, SCUBE2 and AP2A2 in Iranian women with BC.A total of 136 patients including healthy controls were categorized into three groups based on the relapse of the disease. Expression of desired genes in formalin-fixed, paraffin embedded tissues collected from all groups of participants was analyzed via the RT PCR method. RNA extraction and cDNA synthesis were performed then real-time quantitative PCR was carried out. Gene expression analysis revealed that the expression of SIRT3 was equal among patient and control groups. LSP1 was down regulated in all patient groups relative to controls but reduced expression in the metastatic group relative to the non-metastatic one was not significant. HRAS was significantly overexpressed in total and metastatic tumor samples versus normal but not in non-metastatic cases. SCUBE2 expression showed significant over-expression in both overall tumor samples and the non-metastatic group as compared to normal tissues. Gene expression level of AP2A2 in all groups was not detectable. Our data are compatible with a tumor suppressor role of LSP1 related to potential prognostic factor for tumor recurrence and outcome. This study for the first time assayed the prognostic value and changes in the expression of SIRT3, LSP1, HRAS, SCUBE2 and AP2A2 genes in women with breast cancer in the Iranian population and findings confirmed potential biomarker and prognostic capability of these genes. Such expression profiling data can critically improve prognosis and treatment decisions in cancer patients.
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