Direct torque control of IM using PID controller

Direct torque control "DTC" technique is one of a high performance control system of an AC motor drive, which was proposed after the vector oriented control scheme during the resent 25 years. It has been developed rapidly for its concise system scheme, transient and dynamic performance. The DTC mechanism consists of voltage vector selection table, two hysteresis comparators and two estimators one for stator flux and another for electromagnetic torque. DTC is directly control torque and flux by using Voltage Source Inverter VSI, space vector and stator flux orientation and indirect speed regulated. A several control techniques can be used for improving the torque and flux performance. In this paper, the DTC with Proportional-Integral-Derivative (PID) controller used to improve the starting and dynamic performance of asynchronous motor AM, which gives good torque and flux response, best speed control and also minimize the unacceptable torque ripple. The mathematical model of DTC with PID controller of 3-phase induction motor IM are simulated under Matlab-Simulink. Therefore, the DTC based on PID controller has good performance of IM compared to classical DTC for starting, running state and also during change in load

Pengaruh Jobsheet Terhadap Hasil Belajar Keterampilan Siswa Pada Mata Pelajaran Sistem Utilitas Bangunan Kelas XI Di SMKN 5 Surabaya

The purpose of this study was to determine the effect of jobsheet media on student skill learning outcomes and to determine the learning outcomes between the treated class and the untreated class in class XI KGSP SMKN 5 Surabaya. This type of research uses quasi-experiment research with a quantitative approach while this research design uses Posttest Only Control Design. While the research subjects were KGSP class XI students in the 2022/2023 academic year consisting of 108 students. The data collection technique uses Posttest test results (performance assessment) which has gone through the reliability and validity test stages. The learning outcomes that have been obtained in the form of data are then analyzed using the Independent Sample t-test. The results obtained showed that the jobsheet was declared feasible to use, indicated by the average value of the learning outcomes of the treated class of 94.71 greater than the average value of the learning outcomes of the untreated class of 78.88. 1) The acquisition of the t-test results obtained the calculation of Thitung of 15.837 compared to Ttabel of 1.997 or it can be interpreted that Thitung> Ttabel. So it can be concluded that the jobsheet has a significant effect on learning outcomes. 2) The learning outcomes obtained through the performance assessment sheet showed that 100% or all students in the treated class were able to exceed the school's KKM. While the learning outcomes obtained through the performance assessment sheet in the untreated class amounted to 73.52%

Solid waste collection optimization using scine-cosine algorithm

In this study, a mathematical model for optimizing the cost of solid waste recycling and management was developed. Sine-Cosine Algorithm (SCA) was used during the optimization process to identify the level of disposed solid wastes and recycled solid wastes. SCA is a recent optimization algorithm, which requires several initial individual random solutions and requires their outward or inward fluctuation towards the best solution with respect to a mathematical relationship that depends on sine and cosine functions. This algorithm also integrated several adaptive and random variables to ensure the exploration and exploitation of the solution space in different optimization tasks. The outcome of this study suggested the effectiveness of the SCA for least distance path allocation while effectively considering all factors

REMOVAL OF PO43- BY DIRECT CONTACT MEMBRANE DISTILLATION FROM DAIRY WASTEWATER

The dairy industry is one of the basic industries that are important for the sustainability of life and because this industry uses and consumes a lot of water to produce milk, it discharges a lot of waste water. Because of the acute shortage of water needed to meet domestic, industrial and agricultural needs and increase pollution on the other, and of high fresh water demand in recent years, therefore; treatment of wastewater present very important. The most important pollutants of dairy wastewater discharged are phosphate. The present paper offers an ability of membrane distillation process (MD) for the treatment of dairy wastewater and removal of phosphate in Iraq. Artificial samples of wastewater prepared to implement the proposal. Opinions will be considered to make these wastewater samples within the standard properties of world dairy wastewater classifications. To alleviate membrane disturbances by organic and inorganic substances applied to physical deposition. The results showed the ability of the MD to remove a high concentration of phosphate from wastewater from dairy wastewater, with a clearance rate of 95 per cent. This value affected by temperature and temperature affects the effectiveness of The MD and is directly proportional to the flow

The Relationship of Immunoglobulin-E and Oxidative Stress in Iraqi patients with asthma

Asthma is a disease characterized by airway chronic inflammation and bronchial hyperactivity, involving the imbalance of oxidative and antioxidative agents. There is an increased free radical generation and a decreased antioxidant enzyme activity. Fifty subject were enrolled in this study .twenty patients with Asthma . Thirty subjects who are apparently healthy were taken as a control group. Serum IgE was determined by using enzyme- linked immunosorbent assay (ELISA) .MDA was determined by using colorimetric method .Serum levels of IgE was highly  significantly increase in  asthma group compared with control group (p<0.01).A significant positive correlation between IgE and MDA. MDA affect IgE level in patients with Asthma . Key words : Immunoglobulin – E , Oxidative stress, Asthm

Geopolitical Condition for Determinants of the Jordan Water Security

This study aimed at studying the geopolitical condition for the determinants of the Jordan Water security through the following objectives: clearing the effective demographic data on Jordan water security. Disclosing the impact of the Syrian crisis on the Jordan Water Security and recognizing the influence of climate characteristics on Jordan Water Security and clearing the impact of the geopolitical condition on Jordan Water Security. The study had employed the analytical descriptive method…and it concerns with specifying reality and collecting facts about it and analyzing its sides, with what shares in working on developing it. The study deduced results meaning that the geopolitical condition played a role in the lack of water, because of the geographic nature of Jordan, the thing that led to fewness of water resources and increase of population and the flow of the Syrian refugees. It1 appeared clearly that the geopolitical condition plays a significant role in availability or fewness of water for the same source of water. The study deduced a recommendation meaning; working on benefiting from the Jordan geopolitical condition in exploiting the water harvest and the scientific method in water-storing, and the necessity of working with the international organization to guarantee non-influencing the Jordan geopolitical condition and agreement with the states of adjacency on water shares

Classification SINGLE-LEAD ECG by using conventional neural network algorithm

Cardiac disease, including atrial fibrillation (AF), is one of the biggest causes of morbidity and mortality in the world, accounting for one third of all deaths. Cardiac modelling is now a well-established field. The Convolutional Neural Network (CNN) algorithm offer a valuable way of gaining insight into the dynamic behaviors of the heart, in normal and pathological conditions. Great efforts have been put into modelling the ventricles, whilst the atria have received less focus. This research therefore concentrates on developing models of the heart ECG atria using deep learning. The research developed an experimental result on MIT-BIH dataset for modelling myocyte electrophysiology and excitation waves in 1D & 2D tissues. It includes optimizations such as adaptive stimulus protocols. As examples of application, it is used to investigate effects of a novel anion bearing current on heart atrial excitation and the effect of remodeling on atrial myocyte electrical heterogeneity. A computationally efficient CNN anatomically based model of the heart atria is constructed. The 3D-CNN model includes heterogeneous, biophysically detailed electrophysiology and conduction anisotropy. The full model activates in 121 ms in heart rhythm, in close agreement with clinical ECG data. The model is used, with the toolkit, to investigate the function effects of S140G mutation in MIT-BIH dataset which is associated with familial. The 3D-CNN model forms the core of a boundary element model of the P-wave Body Surface Potential (BSP). The CNN model incorporates representations of the heart blood masses. Generated ECGs show qualitative agreement with clinical data. Their morphology is as expected for a healthy person, with a lead duration of 103 ms. The CNN model is used to verify an existing algorithm for focal atrial tachycardia location and in providing explanation for a novel clinical phenomenon, using CNN with 99.27% accuracy. Models of the human atria and body surface potential are constructed. The models are validated against both experimental and clinical data. These models are suitable to use as the platform for further research

Green and sustainable construction practices impact on Organizational Development

Green Marketing plays important role in the organizational performance irrespective to the industry and the type of project. However green construction research lacks in the field of a construction project. The basic purpose of this work was to highlight the impact of modern techniques such as green construction on organizational performance through the adoption of sustainable practices in business strategies in the construction industry. Data were collected from 132 organizations, working on different construction projects located within the city of Rawalpindi and Islamabad, through an online questionnaire survey in two strata in terms of consultant and contractors. Data were analyzed through different tests, included Pearson’s correlation coefficient as well as regression using IBM SPSS Statistics Version 20. The study indicated that green construction has a strong correlation and positive impact on organizational performance, and this correlation partially mediated by sustainable development. The research findings have practical implications both in organizational and project manager’s perspectives. This research was limited to a specific geographic area due to time and cost constraints. Future researchers may opt to conduct the study in other geographic areas of Pakistan and in different industries. Moreover, additional or different mediating variables can also be used in future work

Social Media and the Spiral of Silence: The Case of Kuwaiti Female Students Political Discourse on Twitter

The theory of the Spiral of Silence (Noelle-Neumann, 1984), explained why the view of a minority is not presented when the majority view dominates the public sphere. For years the theory of the spiral of silence was used to describe the isolation of minority opinions when seeking help from traditional media, which play a significant role in increasing the isolation. The fear of isolation makes many people afraid of exchanging their views face-to-face with others. The main fear comes from identifying the people who hold a minority opinion. However, with the proliferation of social networks people have moved online to exchange their views, whether they hold a minority or a majority opinion, as long as their identities are concealed. Although women are the majority population in many Arab societies, their voices are still considered a minority view. In addition to the effects described in the spiral of silence, there are other obstacles to self-expression. Religion, culture, tradition, and education may have a negative effect, preventing women’s voice being made public. Social networks have helped to promote women’s voices while removing offline obstacles. This paper uses the theory of the spiral of silence in relation to women’s online political participation in Twitter, even though they may not be willing to share their opinions offline (face-to-face), to learn whether the theory is still useful as an account of online relationships. The results show that the spiral of silence does not explain the behavior of women, either face-to-face or online

Support Vector Machine Based on Adaptive Acceleration Particle Swarm Optimization

Existing face recognition methods utilize particle swarm optimizer (PSO) and opposition based particle swarm optimizer (OPSO) to optimize the parameters of SVM. However, the utilization of random values in the velocity calculation decreases the performance of these techniques; that is, during the velocity computation, we normally use random values for the acceleration coefficients and this creates randomness in the solution. To address this problem, an adaptive acceleration particle swarm optimization (AAPSO) technique is proposed. To evaluate our proposed method, we employ both face and iris recognition based on AAPSO with SVM (AAPSO-SVM). In the face and iris recognition systems, performance is evaluated using two human face databases, YALE and CASIA, and the UBiris dataset. In this method, we initially perform feature extraction and then recognition on the extracted features. In the recognition process, the extracted features are used for SVM training and testing. During the training and testing, the SVM parameters are optimized with the AAPSO technique, and in AAPSO, the acceleration coefficients are computed using the particle fitness values. The parameters in SVM, which are optimized by AAPSO, perform efficiently for both face and iris recognition. A comparative analysis between our proposed AAPSO-SVM and the PSO-SVM technique is presented