Integrated digital printing of flexible circuits for wireless sensing (Conference Presentation)

Author(s):  
Ping Mei ◽  
Gregory L. Whiting ◽  
David E. Schwartz ◽  
Tse Nga Ng ◽  
Brent S. Krusor ◽  
...  
2020 ◽  
Vol 3 (2) ◽  
pp. 36
Author(s):  
Nurhadi ◽  
Fathur Rohman ◽  
Sugeng Hadi ◽  
Asrori
Keyword(s):  

Tidak adanya nama jalan di lingkungan wilayah tempat tinggal menyebabkan warga RT 04-05 RW 16 Desa Ngenep, Kecamatan Karangploso, Kabupaten Malang kesulitan menemukan alamat tertentu. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk mendesain, membuat dan memasang Peta Situasi Wilayah di Desa Ngenep, Kecamatan Karangploso, Kabupaten Malang. Kegiatan dilaksanakan di RT 04-05 RW 16 Perumahan Tirtasani cluster Park Royal, mulai tanggal 24 April sampai 09 Nopember 2018. Metode PkM yang digunakan yaitu mendesain, membuat dan memasang Papan Peta Situasi Wilayah.  Rangka Peta Situasi didesain terbuat dari besi profil kotak 4x6 cm dan 3x3 cm berukuran 3x2 m. Pengerjaan rangka meliputi pemotongan, pengelasan, penggerindaan, pengecatan dan riveting. Dasar papan peta dibuat dari bahan lembaran alumnium ukuran 2x2 meter, sedangkan peta yang menggambarkan alamat rumah warga didesain dengan software desain grafis corel draw dan dicetak dengan outdor digital printing. Banner Peta Situasi ditempelkan pada lembaran alumninium dengan perekat lem, dan difinishing dengan rivet. Peta Situasi dipasang didepan pintu masuk RT 04-05 RW 16 (sekitar Pos Satpam) dan Taman Tengah, ditanam dengan kedalaman ± 50 cm dan dicor semen. Hasil PkM menunjukkan bahwa pengadaan Peta Situasi sangat bermanfaat dan warga RT 04-05 RW 16 Desa Ngenep, Kecamatan Karangploso, Kabupaten Malang, dimana warga merasa puas karena memiliki infrastruktur lingkungan yang baik dan lebih mudah untuk menemukan alamat di wilayah tersebut. Kata kata kunci: Desain dan pembuatan, peta situasi, Ngenep. Karangploso


2021 ◽  
Vol 9 (6) ◽  
pp. 1880-1887
Author(s):  
Xia Sun ◽  
Shaoshuai He ◽  
Mengmeng Yao ◽  
Xiaojun Wu ◽  
Haitao Zhang ◽  
...  

Fully-physically crosslinked hydrogels with strain sensitivity and anti-freezing properties for wireless sensing and low temperature sensing were prepared.


Author(s):  
Bo Peng

Today, with the increasingly rapid economic development and diversified consumer demands, the printing and publishing industry is also facing challenges and opportunities. Under this background, the emerging digital printing technology, which USES modern digital system to transmit graphic information to digital printing machine through network, has gradually become the core technical content of the printing field. Based on the emergence and characteristics of digital printing, this paper focuses on the application of digital printing technology in packaging printing, and predicts the future development trend of digital printing technology, hoping to help readers understand the knowledge of digital printing technology.


2021 ◽  
Vol 54 (2) ◽  
pp. 1-35
Author(s):  
Chenning Li ◽  
Zhichao Cao ◽  
Yunhao Liu

With the development of the Internet of Things (IoT), many kinds of wireless signals (e.g., Wi-Fi, LoRa, RFID) are filling our living and working spaces nowadays. Beyond communication, wireless signals can sense the status of surrounding objects, known as wireless sensing , with their reflection, scattering, and refraction while propagating in space. In the last decade, many sophisticated wireless sensing techniques and systems were widely studied for various applications (e.g., gesture recognition, localization, and object imaging). Recently, deep Artificial Intelligence (AI), also known as Deep Learning (DL), has shown great success in computer vision. And some works have initially proved that deep AI can benefit wireless sensing as well, leading to a brand-new step toward ubiquitous sensing. In this survey, we focus on the evolution of wireless sensing enhanced by deep AI techniques. We first present a general workflow of Wireless Sensing Systems (WSSs) which consists of signal pre-processing, high-level feature, and sensing model formulation. For each module, existing deep AI-based techniques are summarized, further compared with traditional approaches. Then, we provide a view of issues and challenges induced by combining deep AI and wireless sensing together. Finally, we discuss the future trends of deep AI to enable ubiquitous wireless sensing.


2021 ◽  
pp. 1-1
Author(s):  
Yuxi Jiang ◽  
Yinghong Shuai ◽  
Xiaoliang He ◽  
Xing Wen ◽  
Liangliang Lou

2017 ◽  
Vol 2017 ◽  
pp. 1-2
Author(s):  
Xiongchuan Huang ◽  
Xiaopeng Yu ◽  
Chao Wang ◽  
Hao Gao
Keyword(s):  

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