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ANFIS Based Reinforcement Learning Strategy for Control A Nonlinear Coupled Tanks System
Mary Ali Hussien,Miry Abbas H.,Miry Mohammed H. 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.3
In this paper, a novel algorithm based machine learning technique for control nonlinear coupled tanks system is presented. An intelligent controller using adaptive neuro-fuzzy inference system (ANFIS) based reinforcement learning is proposed (ANFIS-RL) by representing the nonlinear coupled tanks system as a Markov decision process. A model-free learning algorithm has been used to train a policy that controls the liquid level of the tanks system without the need to determine the dynamic model of the controlled system. Based on the optimal learned policy, which is approximated by ANFIS, the controlled system can perform the best action quickly based on the states of the system. Simulation results demonstrated the feasibility of the proposed algorithm.
EEIRI: Efficient Encrypted Image Retrieval in IoT-Cloud
( Zaid Ameen Abduljabbar ),( Ayad Ibrahim ),( Mohammed Abdulridha Hussain ),( Zaid Alaa Hussien ),( Mustafa A. Al Sibahee ),( Songfeng Lu ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.11
One of the best means to safeguard the confidentiality, security, and privacy of an image within the IoT-Cloud is through encryption. However, looking through encrypted data is a difficult process. Several techniques for searching encrypted data have been devised, but certain security solutions may not be used in IoT-Cloud because such solutions are not lightweight. We propose a lightweight scheme that can perform a content-based search of encrypted images, namely EEIRI. In this scheme, the images are represented using local features. We develop and validate a secure scheme for measuring the Euclidean distance between two descriptor sets. To improve the search efficiency, we employ the k-means clustering technique to construct a searchable tree-based index. Our index construction process ensures the privacy of the stored data and search requests. When compared with more familiar techniques of searching images over plaintexts, EEIRI is considered to be more efficient, demonstrating a higher search cost of 7% and a decrease in search accuracy of 1.7%. Numerous empirical investigations are carried out in relation to real image collections so as to evidence our work.
The Effect of Corporate Social Responsibility Disclosure on Market Performance: Evidence from Jordan
Omar ZRAQAT,Qasim ZUREIGAT,Hani Ali AL-RAWASHDEH,Samer Mohammed OKOUR,Lina Fuad HUSSIEN,Atef Aqeel AL-BAWAB 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.8
The current study aims to investigate the relationship between CSRD and firm performance, as an indicator for corporate socially responsible behavior, and corporate market performance of listed companies on the Amman stock exchange (ASE). The study adopts a quantitative methodology and utilizes pooled data sets that was collected following content analysis approach of the annual reports for the period 2014 to 2019. The study sample consists of 42 listed companies. The study ran a multiple regression model in order to capture the relationship between the independent variable CSRD and the dependent variable that is Firm performance which was measured using Tobin’s Q. The study also utilized five control variables in order to control the hypothesized relationship between CSRD and Firm Performance. The results indicate a negative but significant relationship between CSRD and corporate market performance measured by Tobin’s Q. The results stand against the notion of the business case for CSR, and indicate the opposite position, so, the higher CSRD, the lower will be Tobin’s Q. Such results support the notion of the institutional theory, and provide an initial evidence for legitimacy seeking behavior in Jordanian companies. However, the results indicate a lower level of awareness of CSR across investors and market players, which support arguments of the difference in market perceptions towards CSR.
Wahdan Amr Samir,El-Refai Nesrine Abdel rahman,Omar Sohaila Hussien,Abdel Moneem Shady Amr,Mohamed Mennatallah Magdi,Hussien Mohamed Mahmoud 대한마취통증의학회 2021 Korean Journal of Anesthesiology Vol.74 No.3
Background: Some situations compel anesthetists to execute endotracheal intubation in the lateral position. We compared elective endotracheal intubation in the lateral decubitus position using the video stylet (VS) device with the fiberoptic (FO) bronchoscope device in patients undergoing abdominal surgery.Methods: Overall, 50 patients were enrolled in this prospective, randomized study. They were randomly classified into the VS intubation or FO intubating bronchoscope group. After anesthesia induction, patients were placed in the lateral decubitus position, and a single investigator well-versed with the use of the VS and FO bronchoscope performed the intubation. The primary outcome was the time taken for intubation. Secondary outcomes included the intubation success rate, hemodynamic response at specific time points and perioperative complications.Results: The average time taken for intubation was significantly lesser in the VS group than in the FO group, with values of 39.5 ± 10.0 and 75.6 ± 16.2 s, respectively (P < 0.001). Incidences of a successful first attempt of intubation in the VS and FO groups were 88% and 100%, respectively, showing no significant difference. There was a negligible difference in complications between the groups, except sore throat, which showed a higher incidence in the VS group than in the FO group (P = 0.002).Conclusions: In laterally positioned patients, elective endotracheal intubation with VS provides less intubation time; however, its use is accompanied by a significant increase in the hemodynamic response after intubation and an increased incidence of sore throat.