...Graph 5 illustrates the relationship between the enzyme parameters of the Michaelis–Menten equation. This equation is represented in equation 3 below. The plot was supposed to be a smooth curve but an error occurred, so the velocity of tube 8 was lower than expected. Tube 8 and tube 9 had the same concentration of substrate, so the velocity of tube 8 should have been the same as the velocity of tube 9. The velocity of tube 9 was 26.296μmoles/liter/min. This error could have been due to the wrong about of enzyme or ONPG added to the tube. The wrong amount of ONPG can be easily added to the tube since too many tubes were set up at the same time. Taking time and carefully adjusting the pipet can prevent this error from occur. Other possible errors...
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...Before the lab began, a box with 2” styrofoam on the bottom and all sidewalls was created. A 2” styrofoam top with a small wooden part for additional cover was added. A lightbulb of unknown wattage was placed inside of the box and was turned on for an unknown time. A small hole was cut into one sidewall in order to place thermocouple probes into at a later time. The first portion of this lab was to set up the initial thermocouple setup, which was described in the apparatus section of this report. Project 7-A: After the apparatus was was set up, thermocouple probe tip voltage was recorded using NI DMM Soft Front Panel software. Voltage relating to ambient temperature was also recorded. Using the provided thermocouple tables and the law of intermediate temperatures, the temperature in the box was found....
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...The single-phase induction motor can successfully be driven from a variable frequency power supply. Hence, the motor speed can be easily adjusted. The torque performance of the capacitor- connected motors can be enhanced at low frequency range by altering the V/f control law such that the internal power dissipation in the motor is held constant. VFD control provides efficient speed control the speed is controlled by varying the frequency not the stator voltage. The power factor is improved and the harmonic distortions were less. The simulation of a Modified SEPIC PFC converter fed induction motor drive is done using MATLAB. MATLAB is a high performance language for technical computing. It integrates computation, visualization and programming in an easier environment where problems and solutions are expressed in familiar mathematical notation. MATLAB is specially designed simulation software for power electronics and motor drive. By using MATLAB, various converter configurations can be modelled and compared. 4.1 Open Loop control Fig 4.1 Open loop control of Modified SEPIC converter Input voltage of 230V is given to the Modified SEPIC PFC Converter so that an output voltage of 400V DC is obtained. The input current waveform is of pure sinusoidal. Fig 4.2 Input Current Waveform Fig 4.3 Output Voltage Waveform Power factor of 0.98 above is obtained using the open loop control of the Modified SEPIC PFC converter. 4.2 Closed Loop Control Fig 4.4 Closed Loop Control...
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...crossover gives genetic algorithm much of their power. With crossover, beneficial mutations on two parents can be combined immediately when they reproduce. Mutation, on the other hand, randomly changes a bit in an individual from 0 to1 or vice versa, thereby introducing new material into the knowledge base. This operator is assigned a very low percentage of activation, causing it to function as a background operator. Figure 4 4 Two-point crossover Figure 4 5 Mutation Comparison of optimization strategies This study is not a comparative study of search and optimization techniques. Nonetheless, it is important to question whether GA is the best choice for this study. David E (1989) identifies three main types of search strategies: calculus-based, random, and enumerative as known as heuristic approaches. (See Figure 4-1) The methods can be applied depending on the type of the function one wants to optimize. In the following sub section, several different sorts of strategies will be explained. Figure 4 5 different optimization strategies Hill climbing strategy Hill climbing strategy is one of calculus-based strategies and is the intuitive method any wanderer would use to reach the peak of a mountain in a dense fog: always walk uphill. In the calculation process, the program seeks local optima by hopping on the function and moving in a direction related to the local gradient. The major problem with hill climbing is that the result strongly depends on the starting point...
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...1.5.1.1 Incandescent Lamp A tungsten filament bulbs were used to performed and verified the effect of voltage variations on the performance and efficiency of the lighting lamp. From the experimental setup, it was showed that the lamps (incandescent lamps) consumes more energy at higher voltages; as the voltage increase, the lamp brightness (intensity) increases. Similarly, as the voltage decreases the lamps brightness appear dim. It should worth saying here that as the brightness increase at a higher voltages, so it consumes more energy and it may lead to a shorter lifespan of the lamp. One of the foremost effect of voltage variations on the incandescent lamp was lamp flicker. Lamp flicker is an effect on a lamp brightness in which there is rapid visible changes or variations of the intensity or brightness level for the incandescent lamp. The fluctuations in the brightness or intensity of the lamps causes inconvenience or discomfort to the utility consumers. 1.5.1.2 Computer From the experimental setup, it was clearly showed that the computer (Laptop) consumes a constant power with voltage variations. As the voltage varies with the corresponding variation in current at 70volts, the laptop was still consuming the same power but one effect is noticed with the charger becoming hotter showing high current presences at the time of very low voltage which can damage the charger overtime. 1.5.1.3 Television The CRT (Cathode Ray Tube) television of 34cm, 14'' was used for this experimental...
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...ANSWER THE FOLLOWING QUESTIONS (ignore questions in lab manual) 1) Describe clearly and precisely the function of a positive control. 2) Describe the function of a negative control. What conclusions you would make about your entire experiment if the negative control did not act accordingly? 3) What might you conclude about the results of your test samples if one or more of the test samples tested positive but the positive control did not work according to plan? 4) What tubes represent the positive control and negative controls in Procedures 3.1, 3.2, 3.3 and 3.4? 5) Procedure 3.1 step 11 Optional treatment (see exercise in this pdf) asked you to include a tube containing a known reducing sugar and Benedict’s reagent while omitting heat. What was...
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...Amazon 5 Bullet Points: ELIMINATE CONFUSION: Conveniently manage pills for the entire week MULTIPLE DIVIDERS: Each tray has four sections for morning, noon, evening and bedtime COLOR-CODED DAYS: Each day has a designated color to eliminate missed pills COMPACT DESIGN: Pill tower is compact for use at home, at work or while traveling CONVENIENT PILL SPLITTER: Easy to use pill splitter is also included Product Description: Organize and manage pills easily and efficiently with the Vive plastic pill organizer. Conveniently manage medications and supplements with the easy to use Vive pill organizer. The durable plastic pill box contains seven color-coded trays with sliding lids, one for each day of the week. Each tray is divided into four compartments:...
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...This was the circuit’s input voltage. The Tektronix TDS 2014B oscilloscope was then used to verify the accuracy of the output wave by making sure that the amplitude was 10V peak-to-peak, with a frequency of .5 Hz and a mean value of zero. Subsequently, this square wave was then applied to the input of the RC circuit. The functionality of the circuit was also verified when the left two LEDs lit up in pairs and then right two LEDs lit in pairs successively. SignalExpress was used to record and graph the input of the system, which was a square wave, and the output of the RC circuit. This graph verified the functionality of the of circuit and also aided in calculating the time constant of the system. Next, the circuit was modified by a adding another 0.1 μF capacitor in parallel to the first capacitor and by replacing the 470kΩ resistor with an 820kΩ resistor. This is shown in Figure 10. The second, third and fourth LEDs were disabled by disconnecting...
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...III. EXPERIMENTAL SETTINGS The data are collected from the real time traffic. Collected data are analysed for three metrics: packet delivery ratio, throughput and delay. The packet size is of 64 bytes. All experiments have been performed in outdoor, in indoor environment, at the second floor and at the stairs of our department building. All laptops are in radio range of each other and node 2, 3,4 and 5 are communicating individually to node 1. The time for one experiment was about 60 seconds. Total of 10 trials have been taken and averaged to evaluate the parameters. In moving scenarios, nodes are stopped at corners for about three seconds before moving again. Experimental parameters: Function Value No of nodes 5 Flow Type CBR Packet Size 64 bytes No of Trials 10 Duration 60 sec Parameters Evaluated:...
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...DISCUSSIONS AND SIMULATION RESULTS Unless expressed otherwise, the simulation parameters altogether the simulations during this section square measure the with γ = three.8. we have a tendency to normalize the cell radius such d < one for the desired users within the target cell. to manage the S/Nratio (SNR) of the system, we have a tendency to normalize the signal strength of all users in order that the typical signal strength of the required users received within the target cell becomes E outlined as SNR ΔPilot Sequences—In the underdetermined system (or with pilot contamination) of interest, the pilot matrix is not any longer orthogonal. Therefore, for the Bayesian figurer, the pilot sequences square measure arbitrarily generated from with equal probability, wherever ξ is chosen such the full information of the pilot matrix S is assumed to be available. On the opposite hand, for the LS figurer (2), the orthogonal pilot sequences, i.e., SH optimal performance. b Sb = IK, square measure adopted due to their only measure the MSE of the users within the target cell. Average User Rate—In addition, we have a tendency to measure the typical user rate within the target cell doable by the quality highest ratio combining (MRC) receivers. With in the MRC receiver, the linear detection vector of the k-th user within the target cell is hˆ1k.The average user rate is outlined by PROPERTIES OF BAYESIAN ESTIMATOR Before running simulations, we provide some discussions to understand the...
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...Abstract – Lab 5 required the use of a new circuit which was created using a printed circuit board. This board acted as an ECG amplifier to output an ECG signal. We used a soldering iron to connect all components to the printed circuit board, allowing use to practice our soldering skills. A set of three leads were attached to a teammate. The board was then connected to the leads and an oscilloscope which displayed the signal. The lab was completed with some success, as our ECG amplifier briefly displayed a signal. However, we determined that our board is generally unreliable, and must do some troubleshooting before further use. I. Introduction The purpose of this lab was to refamiliarize ourselves with soldering, which we learned in ELE 202 last semester, and to create a functioning ECG amplifier. We were provided with an empty printed circuit board and were given a schematic and a photo of the complete circuit. We used the schematics to solder components onto the printed circuit board. There were no additions made to the...
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...Based on the results, the maximum frequency that would not be aliased was the Nyquist frequency, which was 5000 Hz. In addition to that, the amplitude of the loud voice was higher than the amplitude of the low voice. The number of bits calculated based on the quantization was equal to 9.97 bits. The high cutoff and the low cutoff which are 110 Hz and 1100 Hz, were used to show the Fast Fourier Transform of the filtered voices, which results in producing better voice of the recording. Based on the FFT graphs, the amplitude of the 440 Hz was the highest at the same peak, and that is why the sound was directly clear, and that proves that the played sound was with the frequency of 440 Hz. For the low and loud frequency, the graph showed the background noise recorded with the voice signal. The use of the decimating factor is that it will resample the recorded voice signal at a lower sampling frequency. Therefore, by changing the value of the decimating factor, the between 1 to 8, the sounds became more clear and recognizable. That is because the decimating factor, decrease the sample rate and increase the frequency of the voice signal in order to avoid the signal to be aliased. Based on research, the frequency range that the human voice can produce is in the range of 300 to 3000 Hz. The Fast Fourier Transform of recorded voice in this experiment was within the range of the human voice frequency. If the electret microphone element was used outside on a windy day, the FFT graphs...
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...V. SIMULATIONS AND RESULTS The output reference voltage drift of the proposed cross-coupled gain stage bandgap reference circuit as a function of temperature is as shown in Fig. 7.The output voltage is almost constant at 1.12V. From the simulation, the TC obtained for this circuit is 11.1ppm/°C. The VMAX is 1.1223V and VMIN is 1.12019V. For further minimizing the temperature coefficient value , piecewise curvature corrected current generator is added to the cross-coupled gain stage BGR. Fig.8. is the output voltage drift plot of the piecewise curvature corrected BGR as a function of temperature. The output voltage is almost constant at 1.09V From the simulation, the TC obtained for this circuit is 5.9ppm/°C. The VMAX is 1.098515V and VMIN is 1.07369V. The power supply rejection ratio obtained by this circuit is around -28 dB. The negative indicates that it is attenuation. So even if there is a voltage variation in the input power supply, it does not change the output reference voltage drastically. The Fig.10. proves that the proposed BGR can work at 1.6-V to 2.3-V supply voltage. The resistor value here was chosen accordingly to suit the 1.8-V supply voltage. It can be noted that the proposed BGR can function well at wide temperature range, without trimming the resistor value following supply voltage variation. Fig. 7: Output voltage drift plot of the cross coupled gain-stage BGR as a function of temperature. Fig. 8: Output voltage drift plot of the piecewise curvature...
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...CHAPTER 6 SIMULATION RESULTS 6.1 Introduction The passive filters were designed according to the specifications of Table 2. The precharge method and the pre-charge sequence are an important and not trivial design step of the iUPQC due to the power flow characteristics of the system. During the start-up, the voltage supplied to the load cannot be distorted, and the iUPQC coupling in the circuit shall not affect the load. The pre-charge method developed allows the start-up of the iUPQC with no need of load power disconnection. The used pre-charge sequence is shown in Fig. 6.1.The pre-charge circuit has three contactors, namely, Ks, Kp, and Kp2, and one in-rush resistor Rpc. The switches sw1 and sw2are used symbolically to show the switching turn-on time. The Kp1 and Kp2 contactors are initially opened, while the Ks contactor is initially closed, and the switching of both active filters is initially disabled. Fig 6.1 Precharge sequence of the iUPQC The pre-charge sequence starts when the contactor Kp1 is turned on, providing the charge of the dc link capacitors through antiparallel diodes present in the PAF power circuit. After 340 ms, the switching of the SAF sw1 is enabled, causing a voltage unbalance on the dc link during a short period of time due to the stabilization time of the SAF unbalanced-voltage control loop. After 1s, the Ks contactor is turned off, allowing the increase of the dc link voltage by SAF operation. After 10 ms, the switching of the PAF sw2 is enabled, starting...
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...To begin the voltage measurement procedure, we made sure that the DC Power supply cables (positive and negative) were plugged into the power supply source so we could obtain a precise and accurate measurement. After we secured our cables into our power supply, we turned our power supply source on. We discovered that it was not directly plugged into the electrical outlet, so we connected it to the outlet and the digital numbers on the power supply appeared. Our next step was to tune the power supply’s current knob to barely above the 0 value, this gave us a minimal amount of potential electrons in our cable. When our current knob was perfectly tuned, we began to adjust our voltage knob to 6.5 volts. Obtaining the 6.5 volts on the power supply was a bit tedious. We had to be extremely delicate with the knob to acquire the 6.5 volt reading. After minutes of adjusting, the 6.5 volt reading finally appeared. In order to check and see if the power supply source was revealing an accurate reading, we turned on the digital multimeter and adjusted the switch to DC voltage. We connected both sets of cables from each device. For the first measurement, our reading was almost 100% percent accurate. We obtained 6.431 volts which was almost perfect. Since we got off to a fast start we went ahead and calculated the percent error for our measurements. We calculated a 1.1% error. To continue the experiment, we went ahead and repeated the same procedure but adjusted the volt knob to...
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