Calibration point distribution study of a four-wheel alignment optimization device based on a blanket technology algorithm.

Optimal wheel alignment improves fuel efficiency, safety, and driver comfort. An explicit formula for determining kingpin parameters, namely, caster and kingpin inclination angle (KIA), in four-wheel alignment is lacking. Currently, caster and KIA values are estimated by repetitive large-scale computing with a mathematical model aimed at obtaining values infinitely close to real solutions. In this study, a four-wheel aligner calibration device was used to collect large amounts of data for a variety of four-wheel aligner measurements with a short data interval. The data were subjected to the local fractal dimension analysis with fractional dimension-based blanket technology (BT) to optimize the number of measurement points. Dramatic changes in data were attributable to local areas with a large fractional number dimension. Appropriate increase in the number of calibration measuring points in areas with a relatively low fractional number dimension can reduce the overall quantity of measuring points. The results provide a scientific basis for the development of alignment calibration standards and demonstrate that these parameters can be assessed based on a small number of measurements. Our BT-based methodology can facilitate factory inspection and performance testing of four-wheel aligners and may improve the accuracy of wheel positioning parameter assessments.

Screening of antitumor polypeptide drug and enhanced CT imaging based on drug target analysis.

Molecular targeted antitumor drugs is a major progress in recent years, these drugs usually target specific molecules to tumor cell signaling pathways, reduce toxicity, and can achieve individualized treatment. In this study, we screened three polypeptide proteins by yeast two hybrid systems, which could inhibit tumor growth obviously. The results of this study are expected to further develop new antitumor drugs. Moreover, by using contrast-enhanced computed tomography (CECT) imaging, this study proposes an algorithm for the computer-aided diagnosis (CAD) and classification of adrenal tumors. The experimental results demonstrate an excellent classification performance of this algorithm. Therefore, the method proposed in this paper may accurately locate and qualitatively diagnose the adrenal tumor in an effective manner, thereby providing important references for treatment.

Analysis of radiation measurement of FDG radiopharmaceuticals and the development of medical image processing techniques.

This paper based on the theory of radiopharmaceuticals and the theory of radiation risk prediction, the author mainly studies the dose distribution of F-FDG and its radiation risk. Through the assessment of the risk of radiation carcinogenesis, the effective dose range was 4.61mSv to 8.97mSv, and the range of radiation carcinogenic risk was 1.57 ×10-3-3.14×10-3. Also, we reviewed the development trend of medical image processing techniques, and the development of medical imaging processing in three-dimensional (3D) medical imaging visualization and PACS-based medical imaging compression is introduced.