Human Machine Interface in Internet Of Things system

Author(s):  
Harpreet Singh Saini ◽  
R.D Daruwala
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):  
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.


1990 ◽  
Author(s):  
B. Bly ◽  
P. J. Price ◽  
S. Park ◽  
S. Tepper ◽  
E. Jackson ◽  
...  

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 687
Author(s):  
Jinzhen Dou ◽  
Shanguang Chen ◽  
Zhi Tang ◽  
Chang Xu ◽  
Chengqi Xue

With the development and promotion of driverless technology, researchers are focusing on designing varied types of external interfaces to induce trust in road users towards this new technology. In this paper, we investigated the effectiveness of a multimodal external human–machine interface (eHMI) for driverless vehicles in virtual environment, focusing on a two-way road scenario. Three phases of identifying, decelerating, and parking were taken into account in the driverless vehicles to pedestrian interaction process. Twelve eHMIs are proposed, which consist of three visual features (smile, arrow and none), three audible features (human voice, warning sound and none) and two physical features (yielding and not yielding). We conducted a study to gain a more efficient and safer eHMI for driverless vehicles when they interact with pedestrians. Based on study outcomes, in the case of yielding, the interaction efficiency and pedestrian safety in multimodal eHMI design was satisfactory compared to the single-modal system. The visual modality in the eHMI of driverless vehicles has the greatest impact on pedestrian safety. In addition, the “arrow” was more intuitive to identify than the “smile” in terms of visual modality.


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