• Journal of Platform Technology
• /
• v.11 no.3
• /
• pp.56-67
• /
• 2023

Recently, de-identification of personal information, which has been a long-cherished desire of the data-based industry, was revised and specified in August 2020. It became the foundation for activating data called crude oil[2] in the fourth industrial era in the industrial field. However, some people are concerned about the infringement of the basic rights of the data subject[3]. Accordingly, a development study was conducted on the Batch De-Identification Tool, a personal information de-identification automation tool. In this study, first, we developed an image labeling tool to label human faces (eyes, nose, mouth) and car license plates of various resolutions to build data for training. Second, an object recognition model was trained to run the object recognition module to perform de-identification of personal information. The automated personal information de-identification tool developed as a result of this research shows the possibility of proactively eliminating privacy violations through online services. These results suggest possibilities for data-based industries to maximize the value of data while balancing privacy and utilization.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.4
• /
• pp.723-730
• /
• 2023

Due to the recent development of battery technology, various types of means of transportation such as electric kickboards, Segways, and electric bicycles have emerged, which can be defined as Personal Mobility. In this paper, as the incidence of safety accidents increases due to the increase in the number of users of Personal Mobility, safety helmet devices that strengthen safety capabilities and peripheral recognition functions were studied. In order for the helmet to send a safety signal, Arduino was used as a base to set the value of the sensor according to changes in distance and angle using the ultrasonic sensor to minimize errors and ensure smooth recognition. In addition, a gyro sensor was used to turn on the direction indicator according to each slope. Using a CDS sensor, the LED is designed to turn on when it goes below 150 lux at night. Finally, it is possible to check whether a helmet is worn within 5cm, and when driving at an average speed, the direction indicator light is turned on at 10 degrees, and the LED is turned on at less than 150 lux.

• Imaging Science in Dentistry
• /
• v.51 no.2
• /
• pp.187-193
• /
• 2021

Purpose: This study aimed to assess the usefulness of machine learning and automation techniques to match pairs of panoramic radiographs for personal identification. Materials and Methods: Two hundred panoramic radiographs from 100 patients (50 males and 50 females) were randomly selected from a private radiological service database. Initially, 14 linear and angular measurements of the radiographs were made by an expert. Eight ratio indices derived from the original measurements were applied to a statistical algorithm to match radiographs from the same patients, simulating a semi-automated personal identification process. Subsequently, measurements were automatically generated using a deep neural network for image recognition, simulating a fully automated personal identification process. Results: Approximately 85% of the radiographs were correctly matched by the automated personal identification process. In a limited number of cases, the image recognition algorithm identified 2 potential matches for the same individual. No statistically significant differences were found between measurements performed by the expert on panoramic radiographs from the same patients. Conclusion: Personal identification might be performed with the aid of image recognition algorithms and machine learning techniques. This approach will likely facilitate the complex task of personal identification by performing an initial screening of radiographs and matching ante-mortem and post-mortem images from the same individuals.

• Journal of the East Asian Society of Dietary Life
• /
• v.19 no.2
• /
• pp.301-309
• /
• 2009

This study investigated school food service employees' recognition of sanitation and sanitary education in the Kyunggi area of Korea. In terms of personal hygiene, over 90% of the food service employees acknowledged personal hygiene and regarded it as important. Inspection of personal hygiene before cooking occurred "everyday" (85.5%); however, 17.2% continued cooking after dissatisfactory personal hygiene was identified. The food service employees thought that contaminated food materials (35.3%) was the biggest cause of foodborne illness. Approximately 71.4% of the respondents answered that sanitation education and testing related to cooking were conducted "once every month". In addition, 56.4% answered that education on cooking sanitation was "lots of help" and 36.3% answered it was "very helpful". Upon examining the food service employees' awareness about cooking sanitation over 90% were aware of sanitary cooking methods, and 46.1% responded that their biggest difficulty in performing sanitary cooking procedures was excessive work duties due to a lack of food service employees.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.14 no.1
• /
• pp.205-212
• /
• 2019

With the rapid spread of mobile phones, users are continuously interested in using the mobile phone in connection with personal activities. Also, increasingly users want to share (transmit and receive) and save data more easily and simply in the mobile environment. This paper suggests motion recognition of mobile phone to share personal information with any people located within a certain distance using location-based service with GCM service. The suggested application is based on Google Cloud Messaging which enables asynchronous communication with the mobile applications executed in Android operating system. The requirements of light-weight mechanism can be satisfied as it is possible to access sharing of personal information easily, simply and in real time through all mobile devices anywhere.

• The Journal of the Korea Contents Association
• /
• v.16 no.11
• /
• pp.11-19
• /
• 2016

The personal identification based on the biometrics has emerged as one of the new trend. This study attempted to explore and examine the user recognition in the use of the personal identification based on the biometrics in the respect of self-efficacy, trustiness, security, and safety alongside the effect of the recognition on the future use intention through survey. The result of this study demonstrated the effect on the use intention of the perceived trustiness and ease of the fingerprint identification, perceived ease of the iris identification and the perceived trustiness of the vein identification. The result of this study is expected to suggest direction on the application of the biometrics considering user recognition.

• Review of Korea Contents Association
• /
• v.12 no.3
• /
• pp.39-43
• /
• 2014

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2002.07b
• /
• pp.1088-1092
• /
• 2002

This paper introduces that domestic animals can be effectively administered with an individual recognition system. The system was constructed in original code transmitter, receiver, personal computer, micro-processor, and RS485 telecommunications module. In the individual recognition system. the signal including encoded information about a milk-cow was transmitted from an original code transmitter to a micro-processor through RS485 telecommunications module. The transmitted signal was successfully displayed in a personal computer.

• Journal of the Semiconductor & Display Technology
• /
• v.19 no.2
• /
• pp.96-99
• /
• 2020

According to brilliant development of smart devices, many related services are being devised. And, almost every service is designed to provide user-centric services based on personal information. In this situation, to prevent unintentional leakage of personal information is essential. Conventionally, ID and Password system is used for the user authentication. This is a convenient method, but it has a vulnerability that can cause problems due to information leakage. To overcome these problem, many methods related to face recognition is being researched. Through this paper, we investigated the trend of user authentication through biometrics and a representative model for face recognition techniques. One is DeepFace of FaceBook and another is FaceNet of Google. Each model is based on the concept of Deep Learning and Distance Metric Learning, respectively. And also, they are based on Convolutional Neural Network (CNN) model. In the future, further research is needed on the equipment configuration requirements for practical applications and ways to provide actual personalized services.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.11 no.3
• /
• pp.345-350
• /
• 2016

It is the personal information protection law is prepared, in the government, to develop a personal information protection basic plan has been implemented. However, year after year, complaints caused by infringement of personal information in public institutions has increased. In this paper, the recognition level of analysis related to the protection of personal information of local governments, public institutions through a questionnaire survey, raised the need for improvement.