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2/20/2021: Summary of Changes to the Biochemistry Program
No full textSummary of changes and rationale
The following changes are being implemented:
Removal of CHEM 247 as a course requirement for the Biochemistry Program
Decrease in the number of required Advanced Chemistry Elective Credits from 6 to 2 credits for the Biochemistry Program
Change credit hours for CHEM 452 - Biochemistry II Lab from 2 credits to 3 credits.
Adopt increased credits for upper division lab courses including BIOL 382, Chem 352, Chem 362, Chem 374, and Chem 438. Forms are included in Applied Biology and Chemistry proposals.
Revision of CHEM 494. Change form is included in Chemistry proposal.
Adopt proposed changes to Biol 481-Genetics which will become Biol 351 and will be taken earlier in the biochemistry curriculum. Change form is included in Applied Biology proposal.
Please see attached Summary, Course Change Form
Senator
No full textDr. Jungme Park
Assistant Professor of Electrical and Computer Engineeringhttps://digitalcommons.kettering.edu/fs_currentmembers/1009/thumbnail.jp
A Sensor Fused Rear Cross Traffic Detection System Using Transfer Learning
No full textRecent emerging automotive sensors and innovative technologies in Advanced Driver Assistance Systems (ADAS) increase the safety of driving a vehicle on the road. ADAS enhance road safety by providing early warning signals for drivers and controlling a vehicle accordingly to mitigate a collision. A Rear Cross Traffic (RCT) detection system is an important application of ADAS. Rear-end crashes are a frequently occurring type of collision, and approximately 29.7% of all crashes are rear-ended collisions. The RCT detection system detects obstacles at the rear while the car is backing up. In this paper, a robust sensor fused RCT detection system is proposed. By combining the information from two radars and a wide-angle camera, the locations of the target objects are identified using the proposed sensor fused algorithm. Then, the transferred Convolution Neural Network (CNN) model is used to classify the object type. The experiments show that the proposed sensor fused RCT detection system reduced the processing time 15.34 times faster than the camera-only system. The proposed system has achieved 96.42% accuracy. The experimental results demonstrate that the proposed sensor fused system has robust object detection accuracy and fast processing time, which is vital for deploying the ADAS system
Novel “Acid Tuned” Deep Eutectic Solvents Based on Protonated L-Proline
Get PDFThe paper presents new types of deep eutectic solvents (DESs) based on L-proline protonated using three different acids (hydrochloric, sulfuric and phosphoric)and playing the role of a hydrogen bond acceptor(HBA). Glucose and xylitol were used as hydrogen bond donors (HBD). A series of deep eutectic solvents with various mole ratios were obtained for the systems L-proline: glucose and L-proline: xylitol. Density, melting point, pH and viscosity of the synthesized DESs were determined along with the effect of water content, mole fraction of the HBA in DES and temperature on properties of the DESs. A wide range of densities (1343–1606 kg/m3), viscosities at 20 °C (699.6–48,590 mPa·s) and pH of 0.1 M DES solutions (1.578–2.456) make the obtained deep eutectic solvents potentially applicable in numerous technological processes, extractions as well as in analytical techniques, including microextraction. Components of these DESs are of natural origin and non-toxic, thus environmentally friendly and suitable for food as well as pharmaceutical industry
A Multi-Server Retrial Queueing Model with Poisson Signals
No full textRetrial queueing models have been studied extensively in the literature. These have many practical applications, especially in service sectors. However, retrial queueing models have their own limitations. Typically, analyzing such models involve level-dependent quasi-birth-and-death processes, and hence some form of a truncation or an approximate method or simulation approach is needed to study in steady-state. Secondly, in general, the customers are not served on a first-come-first-served basis. The latter is the case when a new arrival may find a free server while prior arrivals are waiting in the retrial orbit due to the servers being busy during their arrivals. In this paper, we take a different approach to the study of multi-server retrial queues in which the signals are generated in such a way to provide a reasonably fair treatment to all the customers seeking service. Further, this approach makes the study to be level-independent quasi-birth-and-death process. This approach is different from any considered in the literature. Using matrix-analytic methods we analyze MAP/M/c-type re-trial queueing models along with Poisson signals in steady-state. Illustrative numerical examples including a comparison with previously published retrial queues are presented and they show marked improvements in providing a quality of service to the customers
