# Special Issue: Selected Papers from IEEE ICASI 2019
###### Abstract  
The fifth IEEE International Conference on Applied System Innovation 2019 (IEEE ICASI 2019, [[https://2019.icasi-conf.net/](https://2019.icasi-conf.net/)]([https://2019.icasi-conf.net/](https://2019.icasi-conf.net/))), which was held in Fukuoka, Japan, on April 11-15, 2019, provided a unified communication platform for a wide range of topics. This Special Issue titled \"Selected Papers from IEEE ICASI 2019\" collected nine excellent papers presented on the applied sciences topic during the conference. Mechanical engineering and design innovations are academic and practical engineering fields that involve systematic technological materialization through scientific principles and engineering designs. Technological innovation by mechanical engineering includes information technology (IT)-based intelligent mechanical systems, mechanics and design innovations, and applied materials in nanoscience and nanotechnology. These new technologies, which implant intelligence in machine systems, represent an interdisciplinary area that combines conventional mechanical technology and new IT. The main goal of this Special Issue is to discover new scientific knowledge relevant to IT-based intelligent mechanical systems, mechanics and design innovations, and applied materials in nanoscience and nanotechnology. 25 March 202027 March 20  
have different compositions. Follow-up researchers or designers can apply this approach to different case designs. Dr. [PERSON] [2] reported on the \"Application of Fuzzy Theory to the Evaluation Model of Product Assembly Design and Usability Operation Complexity\". A product usually consists of more than one component to improve convenience and enhance living standards. However, a product is created by the joint efforts of people from various territories; therefore, an important consideration is enabling a product to merge into consumers' daily lives rather than simply fulfilling its functions. Conflicts may arise in people's life patterns or values, which should be considered during the manufacturing process. This study investigates the assembly process by considering the assembly operations and operating time. By determining the relationship between components, we analyzed the assembly concept of most components. A fuzzy comprehensive evaluation was conducted during the evaluation of the degree of complexity of user operations. Based on the ranking of membership, the most appropriate assembly was determined, which serves as a reference for designers to select the optimal product assembly. By recording the consumer usage models, we also proposed the optimal assembly and usage model of product design. The goal of this study is to find a balance between assembly evaluation and the usage model by allowing designers to determine the new assembly concepts that meet consumer usage models. A case study of four bedside stereos was conducted by implementing the proposed approach to determine the evaluation principle of assembly. The purpose is to enhance the balance between assembly design and user operation complexity for making efficient decisions. Thus, a product design can comply with the concept of concurrent engineering and the quality of a product design can be enhanced. [PERSON] et al. [3] reported on \"An LSTM-based Deep Learning Approach for Classifying Malicious Traffic at the Packet Level\". Recently, deep learning has been successfully applied to network security assessments and intrusion detection systems (IDSs) with various breakthroughs, such as using convolutional neural networks and long short-term memory (LSTM) to classify malicious traffic. However, these state-of-the-art systems also face tremendous challenges to satisfy real-time analysis requirements due to the major delay of flow-based data preprocessing, i.e., requiring time to accumulate packets into particular flows and then extracting features.