An Internet-of-Things Enabled Smart System for Wastewater Monitoring

FOWLP Technology eWLB – Enabler for Packaging of IoT/IoE Modules

International Symposium on Microelectronics ◽

10.4071/isom-2015-wa32 ◽

2015 ◽

Vol 2015 (1) ◽

pp. 000239-000244 ◽

Cited By ~ 1

Author(s):

Steffen Kroehnert ◽

José Campos ◽

André Cardoso ◽

Eoin O'Toole ◽

Abel Janeiro ◽

...

Keyword(s):

Internet Of Things ◽

System Integration ◽

Good News ◽

The Internet ◽

Smart System ◽

Packaging Technology ◽

Internet Of Everything ◽

The Cost ◽

Semiconductor Packaging ◽

The Internet Of Things

The next big wave, the Internet of Things or Internet of Everything (IoT/IoE) is on the way. What does that mean for semiconductor packaging, assembly and test? What are the requirements? What solutions can be provided? The market will be wide and fragmented. Many different solutions will be needed. Flexibility and the capability to customize system solutions will be crucial. The fact is, it will be all about smart system integration, integration of sensors, MEMS, connectivity and memory: more functionality on less space in small and thin System-in-Package (SiP) and Package-on-Package (PoP). There will not be one specific packaging technology for IoT/IoE, and no new “IoT/IoE Packaging Technology”. The toolbox is here already, and further features required to meet the needs of future IoT/IoE modules are under development. That is actually good news, as the cost pressure will be high, and materialization of existing manufacturing environment, of mature and yielding packaging technologies will be a key for success.

Determining the Precise Work Area of Agriculture Machinery Using Internet of Things and Artificial Intelligence

Applied Sciences ◽

10.3390/app10103365 ◽

2020 ◽

Vol 10 (10) ◽

pp. 3365

Author(s):

Muhammad Waleed ◽

Tai-Won Um ◽

Tariq Kamal ◽

Aftab Khan ◽

Adil Iqbal

Keyword(s):

Artificial Intelligence ◽

Internet Of Things ◽

Global Positioning System ◽

Positioning System ◽

Allocation Of Resources ◽

Smart System ◽

Irregular Shapes ◽

Work Area ◽

Global Positioning ◽

The Internet Of Things

Precisely measuring the work area of agriculture farm machinery is important for performing the authentication of machinery usage, better allocation of resources, measuring the effect of machinery usage on the yield, usage billing and driver’s behaviour. The manual measurement, which is a common practice is an error-prone and time-consuming process. The irregular fields make it even more difficult to calculate the work area. An automatic solution that uses smart technology and algorithms to precisely calculate the work area is crucial for the advancement of agriculture. In this work, we have developed a smart system that utilizes the Internet of Things (IoT), Global Positioning System (GPS) and Artificial Intelligence (AI) that records the movement of agriculture machinery and use it to measure the precise work area of its usage. The system couples the nearest neighbourhood algorithms with Contact-based mechanisms to find the precise work area for different shaped fields and activities. The system was able to record the movement of machinery and calculate its work area, regardless of how many times the machinery runs through a particular field. Our evaluation shows that the system was able to precisely find the work boundaries and calculate the area with a maximum of 9% error for irregular shapes.

An internet of things belief rule base smart system to predict earthquake

International Journal of Reconfigurable and Embedded Systems (IJRES) ◽

10.11591/ijres.v10.i2.pp149-156 ◽

2021 ◽

Vol 10 (2) ◽

pp. 149

Author(s):

Md. Mahashin Mia ◽

Abdullah Al Hasan ◽

Rahman Atiqur ◽

Rashed Mustafa

Keyword(s):

Expert System ◽

Internet Of Things ◽

Animal Behavior ◽

Fuzzy System ◽

Rule Base ◽

Smart System ◽

Attribute Weight ◽

Belief Rule Base ◽

Probable Occurrence ◽

Brb System

An intelligent belief rule base (BRB) based system with internet of things (IoT) integration can evaluate earthquake prediction (EP). This ingenious and rational system can predict earthquake by aggregating changed animal behavior combined with environmental and chemical changes which are taken as real time inputs from sensors. The BRB expert system blends knowledge demonstration criterion like attribute weight, rule weight, belief degree. The intelligent BRB system with IoT predicts the probable occurrence of the earthquake in a region based on the sign and symptoms culled by the persistent sensors. The final result taken from Intelligent BRB system with IoT integration is compared with expert and fuzzy-based system. The projected method gives a better prediction than the up-to-date expert system and fuzzy system

Prototyping PCB Menggunakan Computer-Aided Design

TIERS Information Technology Journal ◽

10.38043/tiers.v2i2.3310 ◽

2021 ◽

Vol 2 (2) ◽

pp. 37-43

Author(s):

I Wayan Sukadana ◽

I Made Pande Darma Yuda

Keyword(s):

Internet Of Things ◽

Computer Aided Design ◽

Smart System ◽

Computer Aided ◽

Technology Cad ◽

Aided Design

Perkembangan Teknologi yang semakin meningkat dan berkembang dapat memudahkan orang-orang yang kreatif dalam merancang system dan elektronik. Pada elektronik terdapat komponen yang sangat penting untuk menunjang komponen dan memberikan jalur penghubung antar komponen yaitu papan PCB. Sebelum adanya technology CAD untuk membuat PCB para pengembang technology Smart System/Internet of Things masih membuat PCB dengan cara manual namun seiring berjalannya waktu dan dengan berkembangnya teknologi sekarang membuat PCB sudah mudah dengan adanya Computer-Aided Design (CAD). Teknik awal seorang pengembang IoT/Smart System membuat PCB yaitu masih dengan cara membuat tata letak komponen dan menyesuaikan skala dengan komponennya setelah itu baru proses menggambar jalur menggunakan spidol permanen yang dibuat sedemikian rupa dengan apa yang telah digambarkan terlebih dahulu baru dilakukannya proses eatching. Setelah adanya technology CAD terdapat banyak perubahan disetiap tahap pembuatannya jadi tidak perlu menggambar tata letak komponen dan menyesuaikan sklanya dengan CAD itu semua sudah otomatis di tentukan. Pada pembuatan PCB dengan CAD bisa menampilkan bagian silk atau gambar bagian depan sehingga bagian silk tersebut bisa ditempel ke bagian atas PCB untuk memudahkan menentukan tempat komponennya. Proses pembuatannya juga lebih efisien dan lebih teratur dengan menggunakan CAD dari pada membuat secara manual sehingga dengan adanya Computer-Aided Design (CAD) sangat membantu dalam proses pembuatan desain PCB.

Smart Anomaly Detection and Prediction for Assembly Process Maintenance in Compliance with Industry 4.0

Sensors ◽

10.3390/s21072376 ◽

2021 ◽

Vol 21 (7) ◽

pp. 2376

Author(s):

Pavol Tanuska ◽

Lukas Spendla ◽

Michal Kebisek ◽

Rastislav Duris ◽

Maximilian Stremy

Keyword(s):

Neural Networks ◽

Internet Of Things ◽

Industry 4.0 ◽

Assembly Line ◽

Assembly Process ◽

Manufacturing Companies ◽

Industrial Internet Of Things ◽

Smart System ◽

Industrial Internet ◽

Unique Approach

One of the big problems of today’s manufacturing companies is the risks of the assembly line unexpected cessation. Although planned and well-performed maintenance will significantly reduce many of these risks, there are still anomalies that cannot be resolved within standard maintenance approaches. In our paper, we aim to solve the problem of accidental carrier bearings damage on an assembly conveyor. Sometimes the bearing of one of the carrier wheels is seized, causing the conveyor, and of course the whole assembly process, to halt. Applying standard approaches in this case does not bring any visible improvement. Therefore, it is necessary to propose and implement a unique approach that incorporates Industrial Internet of Things (IIoT) devices, neural networks, and sound analysis, for the purpose of predicting anomalies. This proposal uses the mentioned approaches in such a way that the gradual integration eliminates the disadvantages of individual approaches while highlighting and preserving the benefits of our solution. As a result, we have created and deployed a smart system that is able to detect and predict arising anomalies and achieve significant reduction in unexpected production cessation.

Smart Health Monitoring and Management Using Internet of Things, Artificial Intelligence with Cloud Based Processing

Issue 4 - Journal of Science and Technology ◽

10.46243/jst.2020.v5.i6.pp93-99 ◽

2020 ◽

pp. 93-99

Keyword(s):

Internet Of Things ◽

Health Monitoring ◽

Health Management ◽

Service Members ◽

Medical Organization ◽

Smart System ◽

Complete Health ◽

Rich Information ◽

Smart Health ◽

The Internet Of Things

: Smart health monitoring system is a system that shortens the distance between a patient and the relevant medical organization. These systems have rapidly evolved during the past two decades and have the potential to change the way health cases are currently delivered. The Internet of Things (IoT) is an innovation for smart health management. It provides monitoring patients remotely and guarantees giving patients the medication and getting complete health care without the latter getting infected. As we know that the NovelCorona-virus also known as covid-19 expanded its impacts from China and still expands its catchment, national as well as international measures are being taken to contain the outbreak such as the placing of lockdown in nations. As a result, many people are being infected making the hospital incapable of providing proper healthcare. This paper proposes a smart health system that monitors the patients holding the coronavirus remotely and to protect the lives of the health service members (like physicians, nurses) from infection. This smart system observes patients by using sensors, to gather rich information every minute seconds. This benefits the patient as well as the service members because the physicians can observe the patient while freeing up beds in the hospitals for the critical cases.

Analisis Kinerja Jaringan Sensor Nirkabel untuk Edge Computing Menggunakan LORA SX1278

Jurnal Teknologi Informasi dan Ilmu Komputer ◽

10.25126/jtiik.2021853631 ◽

2021 ◽

Vol 8 (5) ◽

pp. 887

Author(s):

Mochammad Hannats Hanafi Ichsan

Keyword(s):

Internet Of Things ◽

Data Processing ◽

Large Data ◽

Edge Computing ◽

Communication Process ◽

Smart System ◽

Machine To Machine ◽

Smart Systems ◽

Mesh Topology ◽

The Internet Of Things

Jaringan Sensor Nirkabel (WSN) adalah salah satu teknologi yang muncul untuk proses deploy dari Internet of Things, Smart System, Machine to Machine networks dan lain sebagainya. Dimana setiap node dari WSN tersebut memiliki kemampuan untuk sensing, komputasi hinga proses pengiriman data. Pemrosesan data secara umum dilakukan pada Cloud atau node lain, hal ini menyebabkan beban kerja dari node lain atau Cloud tersebut menjadi cukup berat. Proses sensing dapat dilakukan dengan menggunakan berbagai sensor sesuai kebutuhan, sedangkan teknologi untuk pemrosesan pada node sensing disebut dengan teknologi Edge Computing. Konsep dari Edge Computing adalah bagaimana sebuah node bisa berpikir untuk menyelesaikan masalah atau mengambil keputusan. Kemudian data hasil pengolahan tersebut dikirimkan ke node yang lain untuk diolah lebih lanjut sehingga kinerja dari node lain atau Cloud lebih ringan. Salah satu teknologi dalam pengiriman data yang dapat dipergunakan dengan baik dan kemampuan jarak komunikasinya cukup panjang adalah LoRa. Salah satu topologi untuk WSN yang dinilai sangat baik untuk pengiriman data adalah Mesh, dimana seluruh node dapat berkomunikasi dengan baik. Oleh karena itu pada penelitian ini akan difokuskan untuk melakukan analisis kemampuan LoRa dalam pengiriman data berdasarkan jarak dan besar data. Karena pada implementasinya jarak berdasarkan besar data hasil pengolahan dari Edge Computing cukup bervariasi. Sehingga pada penelitian ini menghasilkan studi kelayakan LoRa sebagai perangkat untuk proses komunikasi pada WSN menggunakan topologi Mesh. Berdasarkan hasil penelitian yang dilakukan secara keseluruhan LoRa cukup baik untuk pengiriman data hingga 256 bytes dan jarak 300 meter berdasarkan delay, throughput, RSSI dan SNR sehingga sangat layak untuk diimplementasikan pada Edge Computing. AbstractWireless Sensor Networks (WSN) is one of the emerging technologies for the deployment of the Internet of Things, Smart Systems, Machine to Machine networks and so on. Where each node of the WSN has the ability to sensing, computation until the process of sending data. Data processing is generally done on the Cloud or other nodes, this causes the workload of other nodes or the Cloud to be quite heavy. The sensing process can be done by using various sensors as needed, while the technology for processing the sensing node is called Edge Computing technology. The concept of Edge Computing is how a node can think to solve a problem or make a decision. Then the processing data is sent to another node for further processing so that the performance of other nodes or the Cloud is lighter. One of the technologies in sending data that can be used properly and the ability of its long communication distance is LoRa. One of the topologies for WSN that is considered very good for sending data is Mesh, where all nodes can communicate well. Therefore this research will focus on analyzing the ability of LoRa in sending data based on distance and data size. Because in the implementation of the distance based on the large data processing results from Edge Computing is quite varied. So that this research resulted in a feasibility study of LoRa as a device for the communication process at WSN using Mesh topology. Based on the results of research conducted overall LoRa is good enough for sending data up to 256 bytes and a distance of 300 meters based on delay, throughput, RSSI and SNR so it is very feasible to be implemented on Edge Computing.

Multi-Way Controlled Feedback Oriented Smart System for Agricultural Application using Internet of Things

2021 5th International Conference on Trends in Electronics and Informatics (ICOEI) ◽

10.1109/icoei51242.2021.9452946 ◽

2021 ◽

Author(s):

Kamlesh Kalbande ◽

Swapna Choudhary ◽

Anushka Singru ◽

Ishika Mukherjee ◽

Prachi Bakshi

Keyword(s):

Internet Of Things ◽

Smart System ◽

Agricultural Application

Internet-of-Things-Assisted Smart System 4.0 Framework Using Simulated Routing Procedures

Sustainability ◽

10.3390/su12156119 ◽

2020 ◽

Vol 12 (15) ◽

pp. 6119

Author(s):

Jinglei Su ◽

Xue Chu ◽

Seifedine Kadry ◽

Rajkumar S

Keyword(s):

Internet Of Things ◽

Smart Grid ◽

Electromagnetic Interference ◽

Large Scale ◽

Power Grid ◽

Wireless Sensor ◽

Time Behavior ◽

Network Efficiency ◽

Successful Operation ◽

Smart System

The environment and energy are two important issues in the current century. The development of modern society is closely linked to energy and the environment. Internet of Things (IoT) and Wireless Sensor Networks (WSNs) have recently been developed substantially to contribute to the fourth transformation of the power grid, namely the smart grid. WSNs have the potential to improve power grid reliability via cable replacements, fault-tolerance features, large-scale protection, versatility to deploy, and cost savings in the smart grid environment. Moreover, because of equipment noise, dust heat, electromagnetic interference, multipath effects, and fading, current WSNs are making it very difficult to provide effective communication for the smart grid (SG) environment, in which WSN work is more difficult. For the smart system 4.0 framework, a highly reliable communication network based on the WSN is critically important for the successful operation of electricity grids in the next decade. To solve the above problem, a Robust Bio-Dynamic Stimulated Routing Procedure (RDSRP) has been proposed based on the real-time behavior of a new Hybrid Bird Optimizer (HBO) model. The presented innovative research and development is a small yet important aspect of continuous critical activities that address one of our society’s major challenges and that reverse the dangerous trends of environmental destruction. This study explores some of the most recent advances in this area, including energy efficiency and energy harvesting, which are expected to have a significant impact on green topics under smart systems in the Internet of things. The experimental results show that the proposed distributed system suggestively enhances network efficiency and reduces the transmission of excess packets for wireless sensor network-based smart grid applications.

Remote Control Berbasis Internet of Things ( IoT)

Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) ◽

10.54706/senastindo.v3.2021.135 ◽

2021 ◽

Vol 3 ◽

pp. 157-168

Author(s):

Haviz Mukhsin ◽

Bekti Yulianti

Keyword(s):

Remote Control ◽

Internet Of Things ◽

Free Space ◽

Smart System

Sebagian besar perangkat elektronik pada saat ini dilengkapi dengan remote control sehingga pengguna dapat mengaktifkan dan mengontrol peralatan tersebut dari jarak tertentu. Permasalahan yang timbul setiap peralatan elektronik memiliki remote control yang berbeda. Ini menjadi tidak praktis apabila di rumah terdapat banyak peralatan elektronik. Perancangan remote control menggunakan aplikasi TUYA pada tulisan ini dan diintegrasikan smart system untuk menjalankan perintah otomatisasi dan fitur “one push” yang bekerja untuk mengendalikan perangkat elektronik tersebut. Selain itu pada remote control ini juga rancang berdasarkan titik GPS atau koordinat dari smartphone pengguna , jika pengguna meninggalkan titik lokasi maka alat electronik akan mati begitu pula sebaliknya. Untuk menghemat penggunaan daya dan juga effisiensi pada alat disetting otomatisasi dimana alat elektronik akan mati dan menyala sesuai waktu yang telah ditentukan. Berdasarkan uji coba semua peralatan elektronik berjalan jika konektifitas stabil, tidak memerlukan kuota yang banyak dan koneksi cepat. Jarak jangkauan antara remote dan router yaitu 29,79 Meter dengan free space lose sebesar 2,295 dB/km.