# IoT-Based Intelligent Monitoring System Applying RNN
## 1 Introduction  
Recently, the fields of biotechnology, genetic engineering, artificial intelligence, and big data are emerging as the core of the Fourth Industrial Revolution. The safe storage of life resources and related data is essential to ensure quality-of-life science research. Therefore, biobanks that secure the safety of biomass and bioresources are becoming increasingly important [1]. In the case of a biobanking system, it is not easy to continuously maintain the ability to detect and correct a dangerous situation as soon as it occurs. The bioresources and data used in the life sciences are the basic infrastructure to support research capability and research indicators [2]. Collecting, storing, and managing bioresources and data have emerged as the new competitive edge of bioresearch to guarantee life-science research quality [3]. Therefore, for the reliable management of bioresources, biobanks have become more important than ever before. In particular, bioresources stored in the biobank have academic and economic potential and contain the inherent characteristics of living things; hence, damage to biomass will cause enormous ethical, academic, and economic losses. As biomedical research is rapidly progressing, collecting biomass in both types and quantities is increasing; however, accidents that damage biomass frequently occur because of managers' lack of awareness of the appropriate storage and management of biomass, and inadequate technology [4]. Recently, the importance of biobank management has attracted attention owing to incidents such as blood storage accidents due to the breakdown of freezers in blood banks. To prevent damage to bioresources and to store them in the long term with high quality, biobank operation and management procedures should be standardized [5]. The International Society for Biological and Environmental Repositories (ISBER) is the only international standard forum for solving academic, technical, legal, and ethical problems in life sciences. The ISBER forum proposed the ISBER biobank best practices for repositories, which systematically establishes the most stable biomass repository management procedures [5]. According to the ISBER biobank standard operating guidelines, the performance of all storage equipment must be continuously monitored [1]. The temperature of the storage equipment is visually checked by the manager and recorded at least thrice per week to detect potential degradation or failure. It is recommended to use an automatic temperature monitoring system that can record the temperatures of all the storage equipment monitored by both humans and the system and send alert notifications during emergencies. The most stable way to manage biobanks is to follow the ISBER standard guidelines for resource history management, cryogenic freezer maintenance, and emergency corrective action in the event of resource risk [1]. However, small-scale biobanks with financial constraints are unable to secure manpower and build systems to comply with the \"best practices.\" The continuous maintenance of small-scale biobanks to reduce the possibility of risk situations of bioresources is difficult. Sometimes, it is not possible to manage risk situations and maintain a history of resource status that must be tracked according to each resource [4]. Therefore, the reliable quality of stored biomass is not guaranteed. In order to solve these problems and ensure the reliability of the biobank, an IoT-based monitoring system was adopted. Internet of Things (IoT) technology has attracted considerable interest in recent years owing to its applicability across various domains [6]. Several studies on intelligent IoT service systems have received attention owing to convergence in information and communication technology (ICT) [7]. An IoT-based intelligent service system is defined as a system that acquires data from various resources, recognizes the current status using the acquired data, and interacts with the user according to the domain knowledge of the applications [8].