Over the last three decades, the development of Ti:sapphire femtosecond lasers has led to advancements in scientific and industrial fields. In particular, these advanced lasers show great potential for applications with bio-imaging and medical surgery, such as two-photon microscopy, nonlinear Raman microscopy, optical coherence tomography, and ophthalmic surgery. Herein, we present a detailed description of the theoretical and experimental physics of Kerr-lens mode-locked femtosecond Ti:sapphire lasers and its two-photon microscopy.

A technology to replace the traditional blood sampling method for glucose monitoring has been sought for a long time. It is now possible to measure the blood glucose change rate continuously for more than 24 hours using a minimally invasive method that does not involve blood collection. Furthermore, various technology development efforts are being made for innovative diabetes management through intermittent or continuous blood glucose monitoring in a non-invasive manner. In this paper, we present an overview of diabetes and the need for continuous blood glucose measurement techniques., and then introduce various non-invasive blood glucose measurement techniques currently being studied. In addition, through research and analysis of the recent commercialization development status of minimally invasive, non-invasive, and wearable continuous blood glucose measurement technologies, we examine global development trends of future technologies.

Ransomware attacks, such as Conti, Ryuk, Petya, and Sodinokibi, that target medical institutions are increasing rapidly. In 2020, in the United States., ransomware attacks affected over 600 separate clinics, hospitals, and organizations, and more than 18 million patient records. The cost of these attacks is estimated to be almost $21 billion USD. The first death associated with a ransomware attack was reported in 2020 by the University Hospital of Düesseldorf in Germany. In the case of medical institutions, as introduced in the Medjack report issued by TrapX Labs, in many cases, attackers target medical devices that are relatively insecure and then penetrate deep into more critical network infrastructure, such as EMR servers. This paper introduces security vulnerabilities of hospital medical devices, considerations for ransomware response by medical institutions, and related technology trends.

As the COVID-19 crisis continues, working environments and lifestyles have been changed unexpectedly, therefore the importance of mental health in the working environments has been highlighted. When the workers' mental health deteriorates, there will be personal losses but also human resources losses caused productivity decrements of the company or the organization. Many researchers have been tried to solve these issues with the help of ICT technologies such as wearable devices. Most wearable healthcare devices have been designed to detect the physiological status of users and collect the physical activities of users, and their applications are gradually expanding. Those devices may be good candidates to prevent loss of human resources from working environments especially under the COVID-19 situation by continuously monitoring mental health status in connection with mobile devices and managing the mental health on their own by combining mental well-being with support solutions. In this paper, the development trend of mental health measurement and mental well-being support technologies is analyzed, and development prospects are examined.

A rapidly spreading unidentified type of pneumonia was initially reported in China in December 2019. On March 11, 2020, the World Health Organization declared the coronavirus disease 2019 (COVID-19) a global pandemic. The world is making efforts to overcome COVID-19 using the experience of each country. From the beginning, Korea has been relatively successful in managing COVID-19 according to the "3T principle," that is, test-trace-treat. To share these experiences with the international community, in June 2020, Korea launched 18 projects in an attempt to standardize the COVID-19 response technology. This paper introduces the standardization trend of Korea's response to COVID-19.

To reduce mobile network deployment costs and expand service coverage, mobile infrastructure sharing is becoming increasingly important. This paper introduces the concept and potential benefits of mobile infrastructure sharing as documented in the existing literature. Then, the current status of significant cases of mobile infrastructure sharing in major overseas countries is examined. Finally, sharing 5G infrastructure in rural areas in Korea is introduced. The Korean case is expected to complete national 5G coverage successfully without involving negative competition.

A stable protein source is required to support the rapidly increasing global population, and fishery products are a particularly important part of the required protein supply. However, due to continued overfishing, fishery resources are depleted, and the number of fish caught by fishing boats has stagnated. Consequently, the aquaculture industry is becoming increasingly important. Internationally, smart aquaculture technology that minimizes labor and environmental pollution has been established through technological developments supported by large investments in automation and water treatment technology over the last several decades. In the case of Korea, the aquaculture industry has not yet emerged as a labor-intensive primary industry. However, in recent years various attempts have been made to apply ICT technology to aquaculture to overcome these problems. In this study, domestic and foreign technologies and patent trends for smart aquaculture are analyzed. In addition, the current status of the smart aquaculture cluster business that the Ministry of Oceans and Fisheries has been promoting since 2019 to utilize ICT technology in aquaculture is introduced.

Based on data provided by the science and technology knowledge infrastructure (ScienceON, 2017-2021), this paper reviews the research trends of domestic police services and related technologies, and describes the research and development direction of policing technology. For this purpose, the research was searched using the keywords science policing, smart policing, predictive policing, and policing. Policing technology is used for crime investigation (prevention), such as crime analysis and crime prediction. The collection of related data use urban infrastructure, the processing of data collected using technologies, such as artificial intelligence, and the utilization of data in police services (system) were summarized. In future, on-site support technology and crime investigation (prevention) technology for a preemptive correspondence to social threats and effective police activities must be developed. In addition, the quality of police services should be improved, a system to use police-related data should be developed, and the capabilities of police experts need to be strengthened.

This study reviews application of data-driven anomaly detection techniques to the aviation domain. Recent advances in deep learning have inspired significant anomaly detection research, and numerous methods have been proposed. However, some of these advances have not yet been explored in aviation systems. After briefly introducing aviation safety issues, data-driven anomaly detection models are introduced. Along with traditional statistical and well-established machine learning models, the state-of-the-art deep learning models for anomaly detection are reviewed. In particular, the pros and cons of hybrid techniques that incorporate an existing model and a deep model are reviewed. The characteristics and applications of deep learning models are described, and the possibility of applying deep learning methods in the aviation field is discussed.

Owing to various restrictions in-field application, the low-speed, low-power-based industrial Internet-of-Things (IoT) network built in extremely harsh industrial environment sites requires multi-hop, channel hopping, and low-latency transmission characteristics. In the past, wired networks were used in industrial facilities; however, network technologies based on the Industrial IoT Network standard standardized for industrial applications, such as WirelessIO link, WirelessHART, SmartMesh, and eStar Link satisfy industrial requirements. Recently, the use of industrial IoT networks in industrial facilities has rapidly expanded. This paper covers the developments in industrial IoT network technologies and summarizes the major industrial IoT standard technologies that meets the requirements of industrial sites.