Artificial Intelligence, Internet of Things and Human-Machine Interface in Healthcare and Manufacturing

2019 ◽  
Vol 2019 (0) ◽  
pp. C12200
Author(s):  
Keiichi WATANUKI
Author(s):  
Satrio Utomo ◽  
Nugraheni Setiastuti

Era disrupsi teknologi saat ini, yang lebih dikenal Revolusi Industri 4.0, sudah mulai diterapkan pada berbagai bidang di setiap negara. Industri 4.0 ini ditopang oleh teknologi terkini seperti  Internet of Things (IoT), Artificial Intelligence (AI), Human–Machine Interface, 3D Printing serta teknologi robotik dan sensor. Industri 4.0 diharapkan mampu meningkatkan produktivitas, efisiensi bisnis, serta berdaya saing. Dalam menghadapi era Revolusi Industri 4.0, Kementerian Perindustrian telah mencanangkan ‘Making Indonesia 4.0’ dengan mempersiapkan peta jalan (Roadmap) dan strategi dalam menyongsong industri 4.0.  Terdapat 5 (lima) sektor industri prioritas, antara lain industri Makanan Dan Minuman, Tekstil dan Produk Tekstil, Otomotif, Elektronik dan Kimia. Untuk itu, kajian dilakukan pada industri tekstil dan produk tekstil, sebagai salah satu industri prioritas. Penelitian dilakukan untuk mengetahui tingkat kesiapan industri manufaktur khususnya industri tekstil dalam menghadapi industri 4.0 berdasar aspek Teknologi, Proses, dan Organisasi. Metode yang digunakan adalah Metode Singapore Smart Industry Readiness Index. Dengan mengetahui tingkat kesiapan tersebut, akan membantu industri mengetahui posisi saat ini dan kebutuhan apa yang dibutuhkan untuk menuju ke level industri 4.0. Dengan mengetahui posisi tersebut, mampu diketahui kekuatan dan kelemahan teknologi dari operasional teknologi yang digunakan, selanjutnya mengetahui prioritas teknologi yang menjadi perhatian manajemen untuk peningkatan daya saing industri menuju level industri 4.0. Berdasar hasil pemetaan, diketahui bahwa tingkat kesiapan industri tekstil PT.Grand Tekstil berdasar aspek Teknologi (1,56), aspek Proses (1,33) dan aspek Organisasi (2,00) adalah sebesar 1,63; posisi pada level 1 dikategorikan sebagai New Comer.


Nanoscale ◽  
2021 ◽  
Author(s):  
Qiufan Wang ◽  
Jiaheng Liu ◽  
Guofu Tian ◽  
Daohong Zhang

The rapid development of human-machine interface and artificial intelligence is dependent on flexible and wearable soft devices such as sensors and energy storage systems. One of the key factors for...


Author(s):  
Pradnya Sulas Borkar ◽  
Prachi U. Chanana ◽  
Simranjeet Kaur Atwal ◽  
Tanvi G. Londe ◽  
Yash D. Dalal

The new era of computing is internet of things (IoT). Internet of things (IoT) represents the ability of network devices to sense and collect data from around the world and then share that data across the internet where it can be processed and utilize for different converging systems. Most of the organisation and industries needs up-to-date data and information about the hardware machines. In most industries, HMI (human-machine interface) is used mostly for connecting the hardware devices. In many manufacturing industries, HMI is the only way to access information about the configuration and performance of machine. It is difficult to take the history of data or data analysis of HMI automatically. HMI is used once per machine which is quite hard to handle. Due to frequent use of HMI, it leads to loss of time, high costs, and fragility, and it needs to be replaced, which was found to be costlier. An internet of things (IOT) is a good platform where all the machines in the industry are able to be handled from a single IoT-based web portal.


2019 ◽  
Vol 7 (41) ◽  
pp. 23280-23300 ◽  
Author(s):  
Tao-Tse Huang ◽  
Wenzhuo Wu

The nanomaterial-based wearable energy storage devices will usher in exciting opportunities in emerging technologies such as consumer electronics, pervasive computing, human–machine interface, robotics, and the Internet of Things.


Author(s):  
Rebecca Williamson ◽  
Yu Zhang ◽  
Bruce Mehler ◽  
Ying Wang

The next generation of automotive human machine interface (HMI) systems is expected to be heavily dependent upon artificial intelligence; from autonomous driving to speech assistance, from gesture & touch-enabled interfaces to web & mobile integration. Smooth, safe, and user-friendly interaction between the driver and the vehicle is a key to winning market share. This panel aims to discuss challenges and opportunities for the next generation of automotive HMI from the perspective of human factors and user behavior. Panelists from industry and academia will offer their unique perspectives on the concerns and opportunities in developing future in-vehicle HMIs.


Author(s):  
Paramesh Shamanna ◽  
Suresh Damodharan ◽  
Banshi Saboo ◽  
Rajeev Chawla ◽  
Jahangir Mohammed ◽  
...  

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