• 대한생식의학회:학술대회논문집
• /
• 2004.11a
• /
• pp.21-26
• /
• 2004

• Korean Journal of Artificial Intelligence
• /
• v.5 no.1
• /
• pp.10-17
• /
• 2017

This study is the first attempt to raise face recognition ability through machine learning algorithm and apply to CRM's information gathering, analysis and application. In other words, through face recognition of VIP customer in distribution field, we can proceed more prompt and subdivided customized services. The interest in machine learning, which is used to implement artificial intelligence, has increased, and it has become an age to automate it by using machine learning beyond the way that a person directly models an object recognition process. Among them, Deep Learning is evaluated as an advanced technology that shows amazing performance in various fields, and is applied to various fields of image recognition. Face recognition, which is widely used in real life, has been developed to recognize criminals' faces and catch criminals. In this study, two image analysis models, TF-SLIM and Inception-V3, which are likely to be used for criminal face recognition, were selected, analyzed, and implemented. As an evaluation criterion, the image recognition model was evaluated based on the accuracy of the face recognition program which is already being commercialized. In this experiment, it was evaluated that the recognition accuracy was good when the accuracy of the image classification was more than 90%. A limit of our study which is a way to raise face recognition is left as a further research subjects.

• Journal of Service Research and Studies
• /
• v.5 no.1
• /
• pp.71-78
• /
• 2015

Created, but the development of mobile devices to have a margin of life have appeared in the opposite forces that are considered to be the target of financial crime and attacks them. Financial crime among crimes that target the smartphone SMS phishing, phishing, pharming, phishing, etc. voice and, in particular, a phenomenon that is growing a lot of SMS phishing is by nature a text message to your mobile. Ye Jin proactive rather than post responses in order to be safe from the SMS phishing attack individuals and businesses, and asset protection is even more important in the country. For this, the SMS phishing attack detected in advance and that can block the development program, it is necessary to deploy.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.12 no.1
• /
• pp.225-230
• /
• 2012

The opinion mining is that to use the existing data mining technology also uploaded blog to web, to use product comment, the opinion mining can extract the author's opinion therefore it not judge text's subject, only judge subject's emotion. In this paper, published opinion mining algorithms and the text using speech recognition API for non-voice data to judge the emotions suggested. The system is open and the Subject associated with Google Voice Recognition API sunwihwa algorithm, the algorithm determines the polarity through improved design, based on this interview, speech recognition, which implements the model.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.13 no.4
• /
• pp.135-140
• /
• 2013

With the advent of smart phones recently, users have experienced a new way of communicating using a smart phone without the constraints of time and space. As a result, users are ubiquitous around the user's own resources and a variety of natural interaction that was required. In particular, the interaction between the user and the content in the virtual reality and augmented reality, otherwise your content or service in the real world and the virtual direct and intuitive interaction can be. In this paper, we use Augmented Reality smart-phone sitting in the subway system that allows people to know the arrival station is designed to offer.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.13 no.6
• /
• pp.161-166
• /
• 2013

With recent development in information technology, IT convergence has been achieved ubiquitously in all areas of industry. In particular, there have been a lot of changes in medical IT conversion sector in terms of user service. In this regard, this paper attempts to propose an environment in which the existing paper prescription can be transferred in the form of QR codes using mobile handsets as one of practices from the perspective of user service. QR codes can minimize the burden resulting from the process of the output, delivery and storage of paper prescriptions. In addition, they can utilize the representation of the information in a wide variety of ways, and they are considered to be media that can minimize the risk of personal information exposure and falsification due to the restoration and encryption of the information. Accordingly, the application of QR codes to the medical field is expected to improve confidentiality ad storage capability of the information, along with users' convenience.

• International journal of advanced smart convergence
• /
• v.2 no.2
• /
• pp.36-39
• /
• 2013

It is becoming more important as the growing of health information and increasing in cancer patients diagnose over the time gradually. Among the various types of cancer, we focuses on breast cancer diagnosis. The accuracy of breast cancer diagnosis is increasing when the diagnosis is based on evidence and statistics. To do this we use the weka data mining tools and analysis algorithms significantly associated with the decision tree uses rules. In addition, the data pre-processing and cross-validation are used to increase the reliability of the results. The number and cause of the disease becomes important to increase evidence-based medical doctors. As the evidence-based medical, the data obtained from patients in the past through the disease by calculating the probability for future patients to diagnose and predict disease and treatment plan. It can be found by improving the survival rate plays an important role.

• Asian Pacific Journal of Cancer Prevention
• /
• v.16 no.8
• /
• pp.3587-3590
• /
• 2015

In spite of limited data regarding the safety or effectiveness of electronic cigarette introduced into the market as a healthier alternative to tobacco smoking, its popularity has increased enormously. E-cigarettes have penetrated the market rapidly owing to the elaborate marketing network and attractive marketing strategies. Stated advantages include the claim that they help quit smoking and produce less exposure than conventional smoking. The list of disadvantages is even more elaborate. While the majority of the studies supporting health claims and efficacy for quitting smoking are not scientifically sound, they are also challenged by studies providing contradictory results. Owing to the limited evidence on the potential advantages and disadvantages of e-cigarettes, the debate on their safety continues.

• Journal of Wellbeing Management and Applied Psychology
• /
• v.2 no.1
• /
• pp.1-8
• /
• 2019

"In the future, 80% of doctors will be replaced by advanced technology." It has been talked about for a long time. When I first heard this story, people said it was ridiculous. But now that AlphaGo has won the Go match against Lee Se-dol, and many global companies have come up with a variety of services and products based on artificial intelligence, the story has become no more than ridiculous. In other words, it is beginning to come true. Artificial intelligence technology is already widely used in manufacturing and service industries. This spread of artificial intelligence is sure to usher in an era of great change in our future. And it is safe to say that it is the "medical world" where the biggest changes will be made. So how on earth does artificial intelligence replace medical personnel? If replaced, where would you stand out? In order to understand this, we must first be familiar with deep learning, which is the basis of medical artificial intelligence. And as the fourth industrial revolution gradually approaches reality, various occupational groups are becoming meaningless, as in the preceding industrial revolution, and in this paper we will learn about the impact of this situation on the medical community.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
• /
• v.41 no.6
• /
• pp.291-292
• /
• 2015