http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Samadani, Ali Akbar (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
-
Ehsan Samadani,Mohammadhassan Behroozi,Amirhossein Shamekhi,Reza Chini 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
In diesel engines, applying design techniques such as computer simulations has become a necessity in view of the fact that these methods can result in small amounts of NOx and SOOT and a reasonable fuel economy. To achieve such a target, multi-objective optimization methodology is a good choice In this paper, this technique is implemented on a closed cycle two-zone combustion model of a DI diesel engine. The combustion model is developed by Matlab programming and validated by a single cylinder Ricardo data obtained from the engine. The main outputs of this model are NOx, SOOT and engine performance. The optimization goal is to minimize NOx and SOOT at the same time while maximizing engine performance. Injection timing, injection duration and AFR (Air-fuel ratio) are selected from engine inputs as design variables. A neural network model of the engine is developed based on model data as an alternative for the complicated and time-consuming combustion model in a wide range of engine operation. Design variables are optimized using GA (Genetic Algorithm). Here, three common algorithms for multi-objective optimization, MOGA, NSGA-II, and SPEA2+ are applied and the results are compared.
-
Reza Chini,Mohammadhassan Behroozi,Amir Hossein Shamekhi,Ehsan Samadani 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
One essential part of automated diagnosis systems for SI engines is due to elements of air path system. The faults occur in this subsystem can result in deviation of air-fuel ratio, which causes increased emissions due to incomplete combustion, misfire and especially loss of power and drivability problems. In this article, a model-based diagnosis system for air-path of an SI engine is constructed. Thus, an adiabatic nonlinear four-state dynamic model of an SI engine is utilized for fault simulations. In the next step, a diagnosis system is designed in the framework of Multilayer Perceptron (MLP) Artificial Neural Network (ANN) classifier. Simulation results show that the constructed diagnosis system for six fault modes considering all three kinds of common faults is applied effectively. In this paper, the Manifold Air Temperature (MAT) sensor, Fuel Injector (FAG) and Throttle Actuator (THAG) faults which comparatively have been evaluated less than other elements in previous relative neural network based works, are also taken into account. As another remarkable aspect of this work, all classes of faults are diagnosed in their full possible over reading (positive) and under reading (negative) ranges.
-
Vahidi, Sogand,Mirzajani, Ebrahim,Norollahi, Seyedeh Elham,Aziminezhad, Mohsen,Samadani, Ali Akbar KOREAN PHARMACOPUNCTURE INSTITUTE 2022 Journal of pharmacopuncture Vol.25 No.2
Gastric cancer (GC) is a significant cause of cancer mortality which has led to focused exploration of the pathology of GC. The advent of genome-wide analysis methods has made it possible to uncover genetic and epigenetic fluctuation such as abnormal DNA methylation in gene promoter regions that is expected to play a key role in GC. The study of gastric malignancies requires an etiological perspective, and Helicobacter pylori (H. pylori) was identified to play a role in GC. H. pylori infection causes chronic inflammation of the gastric epithelium causing abnormal polyclonal methylation, which might raise the risk of GC. In the last two decades, various pathogenic factors by which H. pylori infection causes GC have been discovered. Abnormal DNA methylation is triggered in several genes, rendering them inactive. In GC, methylation patterns are linked to certain subtypes including microsatellite instability. Multiple cancer-related processes are more usually changed by abnormal DNA methylation than through mutations, according to current general and combined investigations. Furthermore, the amount of acquired abnormal DNA methylation is heavily linked to the chances of developing GC. Therefore, we investigated abnormal DNA methylation in GC and the link between methylation and H. pylori infection.
ScienceON연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
