Simulation in development of skilled and competent operators

Modelling and Simulation helps industry to get information about how something will behave without actually testing it in real life in real industry scenario which will incur cost. One can compress the time frame, and study the behaviour of a scenario without engaging it. The use of this within engineering is well recognized. It became necessity or need in an industry. It plays various roles, from fulfilling the requirement in front end task up to furnishing the needed areas in back end task. In a petrochemical plant especially in Ethylene crackers, training operators to operate plant safely and consistent is a need. Highernumber in employees 'migration does play a role in a need of training simulator. When an operator with many years of experience left the company, he brings with himself a valuable portion of knowledge and data and training new personnel will incur money and time cost. The training of ethylene plant new operators now need to rely on senior operators experiences from different plant life cycle and will vary with different trainers. Need of simulation that can represent the real world scenario is a mandatory to give a valuable training experience and loss of billions dollars can be avoided

Nonlinear TE Electromagnetic Surface Waves in a Ferrite Layered Structure

Characteristics of TE electromagnetic surface waves propagating in a nonlinear dielectric film bounded by a ferrite cover are examined theoretically. A dispersion relation based on Jacobian Elliptic Functions is derived, which describes the behaviour of the nonreciprocal nonlinear waves. ) TE ( . ) Jacobian Function (

COLLISIONAL DRIFT WAVES OF A WEAKLY MAGNETIZED PLASMA

The two-fluid equations are used to derive a model of collisional drift waves for cylindrical magnetized plasmas. Both the radial electron temperature variation and the sheared BE о о× rotation in the plasmas have been taken into account. It is found that the presence of the BE о о× rotation leads to an important modification of the theory of drift waves derived by Sayasov Yu. S. and Aebischer HA (1988). The theory is applied to an experimental data of helium plasma using Runge-Kutta integration method. Our calculation shows that the temperature variation and the BE о о× rotation are important in the predictions of drift wave frequency and radial position of the maximum wave amplitude

Influence of distinctive Osmoprotectnats foliar spray in alleviating the harmful effects of water stress at sensitive growth stages of Maize (Zea mays L.)

Water availability is becoming a significant concern for crop production worldwide. In light of this, a study was conducted in maize crop to explore the effectiveness of various osmoprotectants including sodium nitroprusside nanoparticles (SNP NP) at a concentration of 90 ppm, melatonin (MEL), at 25 ppm and salicylic acid (SA) at 100 ppm in mitigating the adverse effects of drought, by evaluating their impact on morpho-physiological, biochemical and yield attributes of maize (Zea mays L.). Drought stress was induced by withholding irrigation during both the vegetative and reproductive stages of maize and then drought-stressed plants were foliar sprayed with different osmoprotectants. Results revealed that among the osmoprotectants tested, foliar application of salicylic acid at 100 ppm exhibited the most substantial improvement in morpho-physiological parameters (plant height, stem diameter, leaf number, root length, leaf area index, relative water content, leaf chlorophyll and carotenoid content) as well as biochemical parameteters like proline and soluble protein content increased, and enhanced membrane stability under drought conditions. The use of SA proved outstanding as it led to a remarkable 75% higher biological yield than plants subjected to drought stress. On the other hand, the SA foliar spray was successful, resulting in a 78.8% in grain yield. However, the extent of improvement varied depending on the growth stage at which the osmoprotectants were applied. While the foliar application of osmoprotectants showed promising results during the vegetative phase than the reproductive phase of maize. Nonetheless, the osmoprotectants' foliar spray exhibited a yield advantage by preserving photosynthetic pigments and the maize plants' ability to produce seeds under drought stress

Negative Differential Resistance, Memory and Reconfigurable Logic Functions based on Monolayer Devices derived from Gold Nanoparticles Functionalized with Electro-polymerizable Thiophene-EDOT Units

We report on hybrid memristive devices made of a network of gold nanoparticles (10 nm diameter) functionalized by tailored 3,4(ethylenedioxy)thiophene (TEDOT) molecules, deposited between two planar electrodes with nanometer and micrometer gaps (100 nm to 10 um apart), and electropolymerized in situ to form a monolayer film of conjugated polymer with embedded gold nanoparticles (AuNPs). Electrical properties of these films exhibit two interesting behaviors: (i) a NDR (negative differential resistance) behavior with a peak/valley ratio up to 17, and (ii) a memory behavior with an ON/OFF current ratio of about 1E3 to 1E4. A careful study of the switching dynamics and programming voltage window is conducted demonstrating a non-volatile memory. The data retention of the ON and OFF states is stable (tested up to 24h), well controlled by the voltage and preserved when repeating the switching cycles (800 in this study). We demonstrate reconfigurable Boolean functions in multiterminal connected NP molecule devices.Comment: Full manuscript, figures and supporting information, J. Phys. Chem. C, on line, asap (2017

Impact of Age on Ovarian Response and IVF Outcome during Controlled Ovarian Hyperstimulation in Women from Gaza Strip

Background: Although age is an important factor in female fertility, not much date were focused on the relationship between age and ovarian response and in vitro fertilization (IVF) outcome. However, the female reproductive capacity varies with age. Objective: To assess the impact of age on ovarian response and IVF outcome during controlled ovarian hyperstimulation in women from Gaza Strip. Methods: This prospective cohort study consisted of 75 women attending IVF at Al-Basma Fertility Center in Gaza City. The number of oocytes and embryos were recorded for each female and the occurrence of pregnancy was followed for three months. The obtained data were computer analyzed using SPSS statistical package version 18. Results: The mean age of the study population was 29.2±5.9 years. The total number of oocytes was significantly decreased with increasing age (F= 3.932 and P= 0.024). In this context Pearson correlation test exhibited negative significant correlation between women age and the number of mature oocyte (r=-0.276, P= 0.017). There was an inverse relationship between age and ovarian response (F= 6.773 and P= 0.001), showing good response (9-16 oocytes) at mean age of 26.7±5.0 years. When related to women age, IVF outcome showed that the chance of getting pregnant increased with decreased age (F= 4.278 and p= 0.018). Conclusion: The ovarian response and the chance of getting pregnancy were diminishing with ageing, implying that maternal age should by consider during IVF program

Scrutinized System Calls Information Using J48 And Jrip For Malware Behaviour Detection

Malware is considered as one of most emerging threats due to Cybercriminals work diligently to make most of the part of the users’ network of computers as their target. A number of researchers keep on proposing the various alternative framework consisting detection methods day by days in combating activities such as single classification and the rule-based approach. However, such detection method still lacks in differentiate the malware behaviours and cause the rate of falsely identified rate, i.e., false positive and false negative increased. Therefore, integrated machine learning techniques comprise J48 and Jrip are proposed as a solution to distinguish malware behaviour more accurately. This integrated classifier algorithm applied to analyse, classify and generate rules of the pattern and program behaviour of system call information in which, the legal and illegal behaviours could identify. The result showed that the integrated classifier between J48 and Jrip significantly improved the detection rate as compared to the single classifier

Strength and physical properties of concrete brick at elevated temperature

This paper discusses the strength and physical properties of lightweight concrete brick before and after being exposed to fire. For this study, lightweight concrete brick was made up of cement, sand, expanded polystyrene (EPS) and palm oil fuel ash (POFA). EPS and POFA are replacement materials used as sand and cement replacement respectively. The percentage of replacement materials was varied, which 0%, 20%, 30%, 40% and 50% for EPS and 0%, 10% and 25% for POFA. The strength and physical properties of bricks were observed and tested before and after being exposed to elevated temperature. Fire performance test of bricks was tested using electronic furnace where the temperature of fire was 300oC, 500oC and 700oC with heating rate 10oC/min. The duration of fire test was conducted for 2 hours. Among the physical properties that have been observed are deformation of shape, discolouration and surface cracking of brick samples. Generally, the brick strength were decreased as the percentage of materials replacement increase. The reduction of strength was continued when bricks were exposed to high temperature. However, the strength of the bricks was fluctuated when been exposed to different temperature

Influence of rice husk ash-derived silica nanoparticles on sweetcorn (Zea mays L. sachharata) seed germination

In agriculture, the utilization of nanomaterials has garnered significant global attention. This research adopts a pioneering approach to investigate the influence of nanosilica on the germination dynamics of sweetcorn seeds. The present study aimed to synthesize and analyze an amorphous nano-silica material using rice husk ash (RHA) and its impact on the germination of sweetcorn seeds (Zea mays L. sachharata). The extracted nano-silica particles dispersed into six rates of suspensions (0, 100, 200, 300, 400 and 500 ppm) were used to study their effects on seed germination. The synthesized amorphous nano-silica was  determined for size, shape, and elemental content. The amorphous nature of the silica sample was confirmed by transmission electron microscopy-selected area electron diffraction (ED) patterns and X-ray diffraction (XRD), whereas siloxane and silanol groups were mainly detected by Fourier-transform infrared (FT-IR) spectroscopy. Image obtained using scanning electron microscopy (SEM) revealed the presence of original nanoparticles alongside secondary microparticles, probably due to agglomeration. Particles in the extracted amorphous silica had an average diameter of 35 nm. Nano-silica powder was amorphous, according to XRD. As per the EDS analysis, the extracted silica sample is 96.87 % pure. The amorphous nano-silica significantly boosted germination metrics such as germination percentage, germination index, vigour index, and mean germination time of sweetcorn. With the addition of 300 ppm nano-silica, the germination percentage increased by 40.1%, the germination index by 96%, and the vigor index by 120% over control seeds. The improvement of seed germination by amorphous nano-silica in sweetcorn implies a potential application of nano-silica in seed germination