□ Wonwoo Cho researched the security of a cryptosystem based on compressed sensing for wireless communication. He proposed an asymptotically Gaussian one-time sensing (AG-OTS) cryptosystem based on compressed sensing and mathematically analyzed the computational security of the system for wireless communications.
∘ In a conventional G-OTS (Gaussian One-Time Sensing) cryptosystem, perfect security is theoretically guaranteed if the energy of the plaintext is kept constant. In this paper, he proposed an AG-OTS cryptosystem for wireless communication that can be implemented in a fast and efficient manner while providing similar security to a G-OTS cryptosystem.
∘ For wireless communication, the AG-OTS cryptosystem has theoretically confirmed that the computational security of the system is guaranteed if the energy of the plaintext is kept constant. When the energy of the plaintexts is not constant in the cryptosystem, the computational security of the AG-OTS cryptosystem was analyzed, showing that the security characteristics of the system can be maintained to a certain extent because the probability of the eavesdropper's success in the indistinguishability experiment has an upper limit.
□ Through this research result, the compression-based cryptosystem can be used in various wireless systems, such as Internet (IoT) and smart grid systems, because it can process data efficiently and at the same time have security characteristics. Therefore, the results of this study are expected to be applied to the transmission and protection of information in such fields.
□ In the paper led by Hyeonha Hwang, he quantified the thickness of the eye's lipid layer by image processing interference patterns when white light is irradiated on a patient's tear film and compared it to the thickness of lipid layers that has meibomian gland * dysfunction .
* A type of sebaceous gland that secretes sebum palpebrale in the eyelids of mammals, including humans
∘ To measure the thickness of the tear film lipid layer, the color of the interference pattern according to the thickness was used. Professor Ho Sik Hwang of the Chuncheon Sacred Heart Hospital at Hallym University classified patients into four groups: ① low meibum, ② dry eye syndrome, ③ high meibum, and ④ control group. Professor Hwang developed an interference pattern using an LED light source to observe and photograph the lipid layer with a camera, and Hyeonha Hwang analyzed the images and examined the results according to the classified group.
∘ Existing studies do not provide qualitative results or cost effectiveness. On the other hand, this research proposed an algorithm that yields cost-effective and quantitative results.
∘ To measure the thickness of the lipid layer of the eye, the ambient light at the measurement site was minimized, and the light was irradiated under the patient's eye with a series of LEDs. At this time, the interference phenomenon that occurs when the light is reflected from the patient's eye occurs in different colors depending on the thickness of the lipid layer, and the phenomenon is photographed with a camera.
∘ The photographed images were color corrected and statistically processed, and they were quantified by the change of the thickness of the lipid layer over time and the average and standard deviation of the total lipid layer thickness.
□ Quantification of the thickness of the lipid layer is performed by accurately diagnosing the health condition of the myospasm and the cause of the disappearance of the tear layer ① lack of absolute amount of tears, and ② lack of meibum, which prevents evaporation of tears. Dry eye syndrome is becoming one of the most common diseases in ophthalmology. It is expected that the method presented in this paper can be effectively used for examining eye health by simply measuring the thickness of the lipid layer.
□ Research conducted by Wonwoo Cho was supported by the Korea Research Foundation's Research Support Project, and the results of the research were published on November 13, 2017, by IEEE Signal Processing Letters.
□ The research conducted by Hyeonha Hwang was supported by Biomedical Integrated Technology Research Project, by the GIST Research Institute (GRI), by the National Research Foundation (NRF) funded by the Korea government (MEST), by the Brain Research Program through the NRF funded by the Ministry of Science, ICT & Future Planning, by KBRI basic research program through Korea Brain Research institute funded by the Ministry of Science, ICT, and Future Planning, by a grant of the Korea Health Technology R&D Project through the Korea, and by the Basic Science Research Program through the NRF funded by the Ministry of Education. The results of the research were published on November 23, 2017, in BioMedical Engineering OnLine.
