Experiments and Analysis Clause Samples

Experiments and Analysis. We use rank-1 accuracy and mean average precision (mAP) for our evaluation on both datasets. In the experiments, there are two source-target settings: 1. Target: Market-1501 / Source: DukeMTMC-▇▇▇▇. 2. Target: DukeMTMC-▇▇▇▇ / Source: Market-1501.
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Experiments and Analysis. ‌ As a part of the analysis, in order to understand the speed of the system, contracts were created in batches assuming if a data requester would want to create multiple contracts with multiple data providers depending on the agreement they have off the chain. While performing system analysis, the following parameters were taken into consideration: 1. Total amount of gas creation. 2. Total time it takes to deploy the contract. 3. Variation of the amount of gas it takes in order to deploy the contract. 4. Variation in amount of gas consumed on changing param- eters. 5. Variation in amount of gas consumed on changing number of voters. Since the actual time taken from the the deployment of the contract to the time the contract is mined by miners is not determined by the network itself, a measure was taken in the form of number of seconds it takes from deployment to mining. On preliminary analysis, it is obvious that since the time taken from deployment to mining of contracts is really dependent on whether the miners want to mine the transaction and also when the miners would mine the transaction, the time measured should not depend on the contract parameters. It should be arbitrary. However to measure the efficiency of the system, each contract with a specific set of parameters were deployed five times each to calculate the average, and standard deviation of the time taken from deployment to mining. It is found that the average time taken by the data share contract to be mined is approximately 20-50 seconds. Also, the average time taken by the CongressContract is approximately 25-40 seconds. Fig 6(a) and Fig 8(a) depict the gas utilized by the network in order to deploy the smart contract based on the number of voters supplied in the DataShare contract parameters. As you can see, the range to deploy a data share contract starts from 1549929 wei which is the gas consumption for having 1 voter for the Congress contract to 1745750 wei which is the gas consumption for having 10 voters for the Congress contract. However, the range to deploy the Congress contract seems to be higher than the corresponding DataShare contract. The range to deploy the corresponding Congress contract starts from 2181014 wei for having 1 voter in the Congress contract to 2183669 wei for having 10 voters in the Congress contract. The slope of each graphs are a constant which means that the gas consumption will increase proportionally with the increase in the number of voters. Fig 6(c) and...
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Experiments and Analysis. We performed a first set of experiments with a person following a robot on a predefined path, in order to test the behaviors of the robot. Data from these experiments are shown in Table 1 2. We start by showing speed adaptation tests: 2 Videos from our experiments can be seen at ▇▇▇▇://▇▇▇▇▇▇▇▇▇.▇▇▇▇.▇▇/mfiore/ icsr2015.html Looking at the data we can see that our system shows lower values for the variance of speed and distance, which means that after a certain time it’s able to find a condition of equilibrium with the human follower. The ’no adaptation’ system shows a significantly higher variance for both values, since the robot stopped several times to wait for the user. We will now show some tests regarding the proactive behaviors of the robot: Table 1. Experiment results: d is the distance between the robot and the user, sr is the robot’s speed, sh is the human’s speed, µ is the average and ∆ is the variation of the quantity over the whole test. Distances are expressed in meters, velocities in meters for seconds.
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