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Developing Smart Home Applications
(1970-01-01)
Lin, Yun-Wei
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Tseng, Sheng-Kai
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Liao, Jyun-Kai
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Hsu, Ta-Hsien
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建築研究所
This paper utilizes an IoT platform called IoTtalk to shape "intelligence" into a house to make it a smart home. The developed project is called HomeTalk that serves as a platform to accommodate various smart applications in a house. We describe the following HomeTalk applications. The PlantTalk application takes care of house plants. The FishTalk application provides fish comfortable life in the fish tank at home. The BreathTalk application detects the number of people in a room, which also purifies the air. The TheaterTalk application uses home and special appliances to create the effects for a 4D experience theater at home. The FrameTalk application allows a painting frame to interact with people in a house. The GardenTalk application provides smart gardening. By examining these projects, this paper explicitly identifies and generalizes the features of HomeTalk that provides flexibility to reuse these IoT devices by sharing them among various smart home applications simultaneously. Specifically, we show how these applications share the sensors and actuators in the house. In the future, we will integrate them through an award winning project called Orchid House.
SimTalk: Simulation of IoT Applications
(2020-05-01)
Lin, Yun-Wei
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Lin, Yi-Bing
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Yen, Tai-Hsiang
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資訊工程學系
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智慧科學暨綠能學院
The correct implementation and behavior of Internet of Things (IoT) applications are seldom investigated in the literature. This paper shows how the simulation mechanism can be integrated well into an IoT application development platform for correct implementation and behavior investigation. We use an IoT application development platform called IoTtalk as an example to describe how the simulation mechanism called SimTalk can be built into this IoT platform. We first elaborate on how to implement the simulator for an input IoT device (a sensor). Then we describe how an output IoT device (an actuator) can be simulated by an animated simulator. We use a smart farm application to show how the simulated sensors are used for correct implementation. We use applications including interactive art (skeleton art and water dance) and the pendulum physics experiment as examples to illustrate how IoT application behavior investigation can be achieved in SimTalk. As the main outcome of this paper, the SimTalk simulation codes can be directly reused for real IoT applications. Furthermore, SimTalk is integrated well with an IoT application verification tool in order to formally verify the IoT application configuration. Such features have not been found in any IoT simulators in the world.
RiceTalk: Rice Blast Detection Using Internet of Things and Artificial Intelligence Technologies
(2020-02-01)
Chen, Wen-Liang
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Lin, Yi-Bing
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Ng, Fung-Ling
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Liu, Chun-You
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Lin, Yun-Wei
Rice blast is one of the most serious plant diseases. Many rice blast management approaches require know-how of experienced farmers or agronomists. Monitoring the farm for disease detection is labor intensive and time consuming. By using the Internet of Things (IoT) and artificial intelligence (AI), we are able to detect plant diseases more efficiently. Existing AI and IoT studies detect plant diseases by images or nonimage hyperspectral data, which require manual operations to obtain the photographs or data for analysis. Also, image detection typically is too late as rice blast may already spread to other plants. Based on an IoT platform for soil cultivation, we develop the RiceTalk project that utilizes nonimage IoT devices to detect rice blast. Unlike the image-based plant disease detection approaches, our agriculture sensors generate nonimage data that can be automatically trained and analyzed by the AI mechanism in real time. The beauty of RiceTalk is that the AI model is treated as an IoT device and is managed like other IoT devices. In this way, our approach significantly reduces the platform management cost to provide real-time training and predictions. We also propose an innovative spore germination mechanism as a new feature extraction model for agriculture. In the current implementation, the accuracy of the RiceTalk prediction on rice blast is 89.4%.
Implementing AI as Cyber IoT Devices: The House Valuation Example
(2020-04-01)
Lin, Yun-Wei
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Lin, Yi-Bing
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Liu, Chun-You
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Lin, Jiun-Yi
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Shih, Yu-Lin
Internet of Things (IoT) has been widely utilized with artificial intelligence (AI). However, it requires substantial effort to integrate AI and big data with IoT. To mitigate this problem, AItalk was proposed. By treating AI as a cyber IoT device, we do not need to write code of the AI mechanism in the network applications, as traditional AI-based IoT applications did. This article describes how the AI tools such as scikit-learn and TensorLayer are accommodated as cyber IoT devices in AItalk, and extends AItalk for non-IoT applications. We use house valuation as an example to show how AItalk can flexibly include the factors that have significant impact on the house price. We show that by adding extra features other than housing profile features, the accuracy for the prediction (valuation) can be improved by 38 & x0025;. We also investigated the communication overhead of the distributed AItalk structure, which is 3.7 & x0025; for the computation of one house price valuation.
SensorTalk: An IoT Device Failure Detection and Calibration Mechanism for Smart Farming
(2019-11-01)
Lin, Yi-Bing
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Lin, Yun-Wei
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Lin, Jiun-Yi
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Hung, Hui-Nien
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交大名義發表
In an Internet of Things (IoT) system, it is essential that the data measured from the sensors are accurate so that the produced results are meaningful. For example, in AgriTalk, a smart farm platform for soil cultivation with a large number of sensors, the produced sensor data are used in several Artificial Intelligence (AI) models to provide precise farming for soil microbiome and fertility, disease regulation, irrigation regulation, and pest regulation. It is important that the sensor data are correctly used in AI modeling. Unfortunately, no sensor is perfect. Even for the sensors manufactured from the same factory, they may yield different readings. This paper proposes a solution called SensorTalk to automatically detect potential sensor failures and calibrate the aging sensors semi-automatically. Numerical examples are given to show the calibration tables for temperature and humidity sensors. When the sensors control the actuators, the SensorTalk solution can also detect whether a failure occurs within a detection delay. Both analytic and simulation models are proposed to appropriately select the detection delay so that, when a potential failure occurs, it is detected reasonably early without incurring too many false alarms. Specifically, our selection can limit the false detection probability to be less than 0.7%.
Low-Cost Four-Dimensional Experience Theater Using Home Appliances
(2019-05-01)
Lin, Yi-Bing
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Yang, Ming-Ta
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Lin, Yun-Wei
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資訊工程學系
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Department of Computer Science
Multi-sensorial effect or four-dimensional (4-D) effect is considered in the niche arena of film playing but has become a growing business quickly. Installation of 4-D effects are typically expensive, and 4-D films are most often presented in custom-built theaters at special venues. This paper proposes a novel integration of existing video service platform and commercial smart home solution to generate 4-D effects for any non-4-D film (i.e., a 3-D or a 2-D film). Specifically, we describe how the designer can use home appliances to create the effects for a 4-D experience theater at home. Instead of using an expensive and special 4-D movie effect system, we use a low-cost off-the-shelf IoT platform for a smart home to create the 4-D movie effects for any non-4-D film. Therefore, the viewer can enjoy 4-D movies at home without special equipment other than home appliances. In our solution, an IoT device-management system called IoTtalk is utilized to integrate the video service system and the smart home system. Since these systems may be located in distant places, the delays for video streaming and triggering of 4-D effects must be synchronized. We have conducted measurements to indicate that in our design, the synchronization issue can be ignored without affecting the user experience.
Flower Sermon: An Interactive Visual Design Using IoTtalk
(2019-06-01)
Hsiao, Chung-Yun
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Huang, Chih-Chieh
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Lin, Yi-Bing
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Lin, Yun-Wei
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資訊工程學系
IoTtalk is a platform for IoT device interaction, which has been used to develop many IoT applications such as home automation. This paper uses Flower Sermon artwork as an example to show how interactive visual design can be conveniently implemented in IoTtalk. The Flower Sermon artwork conducts cyber physical interaction, which animates a dandelion in a mirror when a person smiles at that mirror. The dandelion grows larger as the person smiles bigger. The flower also vibrates following the heartbeat rate of the person. In our approach, the camera detecting the face expression and the heartbeat rate is considered as an input IoT device, and the mirror display for dandelion animation is considered as an output IoT device. In IoTtalk, the features of the dandelion animation are considered as the actuators that can be independently controlled. IoTtalk nicely connects these IoT devices, where various features can be created for interactive visual design with little or without any programming effort. We also measure the time complexity for data delivery among the input and the output IoT devices. Our study indicates that the time delays are less than 0.07s on the average even if the IoTtalk server is located in a cloud.
AgriTalk: IoT for Precision Soil Farming of Turmeric Cultivation
(2019-06-01)
Chen, Wen-Liang
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Lin, Yi-Bing
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Lin, Yun-Wei
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Chen, Robert
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Liao, Jyun-Kai
This paper proposes AgriTalk, an inexpensive Internet of Things (IoT) platform for precision farming of soil cultivation. We conduct experiments on turmeric cultivation, which indicates that the turmeric quality is significantly enhanced through AgriTalk. Specifically, the curcumin concentration is up to 4500-5500 mg/100 g, which is five times more than existing products. We demonstrate how to intuitively configure the connections between the sensors and the actuators with the desired farming intelligence, and to effectively maintain AgriTalk for precision farming. We conduct measurement, analytic analysis, and simulation experiments to investigate the IoT message delays of AgriTalk. This paper indicates that the delays for automatic control and automatic-manual control switching with long distances (more than 30 km) are very short (less than 0.2 s) and AgriTalk can easily respond to quick and dynamic change of the field environment conditions in soil cultivation.
PlantTalk: A Smartphone-Based Intelligent Hydroponic Plant Box
(2019-04-02)
Van, Lan-Da
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Lin, Yi-Bing
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Wu, Tsung-Han
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Lin, Yun-Wei
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Peng, Syuan-Ru
This paper proposes an IoT-based intelligent hydroponic plant factory solution called PlantTalk. The novelty of our approach is that the PlantTalk intelligence can be built through an arbitrary smartphone. We show that PlantTalk can flexibly configure the connections of various plant sensors and actuators through a smartphone. One can also conveniently write Python programs for plant-care intelligence through the smart phone. The developed plant-care intelligence includes automatic LED lighting, water spray, water pump and so on. As an example, we show that the PlantTalk intelligence effectively lowers the CO2 concentration, and the reduction speed is 53% faster than a traditional plant system. PlantTalk has been extended for a plant factory called AgriTalk.
NB-IoTtalk: A Service Platform for Fast Development of NB-IoT Applications
(2019-02-01)
Lin, Yi-Bing
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Tseng, Hung-Chun
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Lin, Yun-Wei
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Chen, Ling-Jyh
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資訊工程學系
Narrowband Internet of Things (NB-IoT) is considered as a promising wireless communications technology for Internet of Things (IoT) especially for the outdoor environment. Many outdoor IoT applications involve large numbers of homogeneous NB-IoT devices. It is tedious to specify and accommodate these devices during application development. To resolve this issue, this paper proposes a service platform for fast development of NB-IoT applications called NB-IoTtalk. This platform utilizes a tag mechanism to provide an easy-to-manipulate graphical user interface to accommodate a large number of NB-IoT devices in an application and transparently show them in a visual map. Our approach automatically creates and parses the device profile used to interpret the payload of an NB-IoT message. We then use a smart parking lot application as an example to investigate the event-triggered reporting of NB-IoT in terms of the time-to-live (TTL) report frequency and the outage detection accuracy. This paper provides the guidelines to set the TTL interval for event-triggered NB-IoT applications.

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