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Due to the fast evolution of Sensor and Internet of Things (IoT) technologies, several large-scale smart city applications have been commercially developed in recent years. In these developments, the contracts are often disputed in the acceptance due to the fact that the contract specification is not clear, resulting in a great deal of discussion of the gray area. Such disputes often occur in the acceptance processes of smart buildings, mainly because most intelligent building systems are expensive and the operations of the sub-systems are very complex. This paper proposes SpecTalk, a platform that automatically generates the code to conform IoT applications to the Taiwan Association of Information and Communication Standards (TAICS) specifications. SpecTalk generates a program to accommodate the application programming interface of the IoT devices under test (DUTs). Then, the devices can be tested by SpecTalk following the TAICS data formats. We describe three types of tests: self-test, mutual-test, and visual test. A self-test involves the sensors and the actuators of the same DUT. A mutual-test involves the sensors and the actuators of different DUTs. A visual-test uses a monitoring camera to investigate the actuators of multiple DUTs. We conducted these types of tests in commercially deployed applications of smart campus constructions. Our experiments in the tests proved that SpecTalk is feasible and can effectively conform IoT implementations to TACIS specifications. We also propose a simple analytic model to select the frequency of the control signals for the input patterns in a SpecTalk test. Our study indicates that it is appropriate to select the control signal frequency, such that the inter-arrival time between two control signals is larger than 10 times the activation delay of the DUT.
Yi-Bing Lin; Sheng-Lin Chou. SpecTalk: Conforming IoT Implementations to Sensor Specifications. Sensors 2021, 21, 5260 .
AMA StyleYi-Bing Lin, Sheng-Lin Chou. SpecTalk: Conforming IoT Implementations to Sensor Specifications. Sensors. 2021; 21 (16):5260.
Chicago/Turabian StyleYi-Bing Lin; Sheng-Lin Chou. 2021. "SpecTalk: Conforming IoT Implementations to Sensor Specifications." Sensors 21, no. 16: 5260.
Acute Coronary Syndrome (ACS) and other heart emergency events require immediate chest pain identification in the ambulance. Specifically, early identification and triage is required so that patients with chest pain can be quickly sent to a hospital with appropriate care facilities for treatment. In the traditional approach, ambulance personnel often use symptom checklists to examine the patient and make a quick decision for the target hospital. However, not every hospital has specialist facilities to handle such emergency cases. If the result of the subsequent cardiac enzyme test performed at the target hospital strongly suggests the occurrence of myocardial infarction, the patient may need to be sent to another hospital with specialist facilities, such as Percutaneous Coronary Intervention. The standard procedure is time consuming, which may result in delayed treatment and reduce patent survival rate. To resolve this issue, we propose AMBtalk (Ambulance Talk) for accurate, early ACS identification in an ambulance. AMBtalk provides real-time connection to hospital resources, which reduces the elapsed time for treatment, and therefore, improves the patient survival rate. The key to success for AMBtalk is the development of the AllCheck® Internet of Things (IoT) device, which can accurately and quickly provide cardiovascular parameter values for early ACS identification. The interactions between the AllCheck® IoT device, the emergency medical service center, the ambulance personnel and the hospital are achieved through the AMBtalk IoT server in the cloud network. AllCheck® outperforms the existing cardiovascular IoT device solutions for ambulance applications. The testing results of the AllCheck® device show 99% correlation with the results of the hospital reports. Due to its excellent performance in quick ACS identification, the AllCheck® device was awarded the 17th Taiwan Innovators Award in 2020.
Wen-Liang Chen; Yi-Bing Lin; Ted Chang; Yan-Ren Lin. AMBtalk: A Cardiovascular IoT Device for Ambulance Applications. Sensors 2021, 21, 2781 .
AMA StyleWen-Liang Chen, Yi-Bing Lin, Ted Chang, Yan-Ren Lin. AMBtalk: A Cardiovascular IoT Device for Ambulance Applications. Sensors. 2021; 21 (8):2781.
Chicago/Turabian StyleWen-Liang Chen; Yi-Bing Lin; Ted Chang; Yan-Ren Lin. 2021. "AMBtalk: A Cardiovascular IoT Device for Ambulance Applications." Sensors 21, no. 8: 2781.
Network slicing is considered a key technology in enabling the underlying 5G mobile network infrastructure to meet diverse service requirements. In this article, we demonstrate how transport network slicing accommodates the various network service requirements of Massive IoT (MIoT), Critical IoT (CIoT), and Mobile Broadband (MBB) applications. Given that most of the research conducted previously to measure 5G network slicing is done through simulations, we utilized SimTalk, an IoT application traffic emulator, to emulate large amounts of realistic traffic patterns in order to study the effects of transport network slicing on IoT and MBB applications. Furthermore, we developed several MIoT, CIoT, and MBB applications that operate sustainably on several campuses and directed both real and emulated traffic into a Programming Protocol-Independent Packet Processors (P4)-based 5G testbed. We then examined the performance in terms of throughput, packet loss, and latency. Our study indicates that applications with different traffic characteristics need different corresponding Committed Information Rate (CIR) ratios. The CIR ratio is the CIR setting for a P4 meter in physical switch hardware over the aggregated data rate of applications of the same type. A low CIR ratio adversely affects the application’s performance because P4 switches will dispatch application packets to the low-priority queue if the packet arrival rate exceeds the CIR setting for the same type of applications. In our testbed, both exemplar MBB applications required a CIR ratio of 140% to achieve, respectively, a near 100% throughput percentage with a 0.0035% loss rate and an approximate 100% throughput percentage with a 0.0017% loss rate. However, the exemplar CIoT and MIoT applications required a CIR ratio of 120% and 100%, respectively, to reach a 100% throughput percentage without any packet loss. With the proper CIR settings for the P4 meters, the proposed transport network slicing mechanism can enforce the committed rates and fulfill the latency and reliability requirements for 5G MIoT, CIoT, and MBB applications in both TCP and UDP.
Yi-Bing Lin; Chien-Chao Tseng; Ming-Hung Wang. Effects of Transport Network Slicing on 5G Applications. Future Internet 2021, 13, 69 .
AMA StyleYi-Bing Lin, Chien-Chao Tseng, Ming-Hung Wang. Effects of Transport Network Slicing on 5G Applications. Future Internet. 2021; 13 (3):69.
Chicago/Turabian StyleYi-Bing Lin; Chien-Chao Tseng; Ming-Hung Wang. 2021. "Effects of Transport Network Slicing on 5G Applications." Future Internet 13, no. 3: 69.
With the emergence of the Internet of Things (IoT) technology, the number of related devices has been increasing at a very rapid speed. The security of IoT systems has become a crucial issue. Due to the complex IoT environment and users’ unawareness, such issues are usually hard to resolve. Many IoT systems lack proper access control mechanisms and suffer from various large scale attacks. We need a robust and effective secure access control to build IoT systems that retain user privacy and data integrity with high availability. In this paper, we propose an access control framework based on OAuth 2.0, with which we constructed a remote control system for various devices. The secured authentication schemes prevent possible private data leaks. The proposed framework provides flexibility for further functional extensions with new IoT devices.
Min-Zheng Shieh; Jui-Chun Liu; Yi-Chih Kao; Shi-Chun Tsai; Yi-Bing Lin. OAuth-Based Access Control Framework for IoT Systems. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2021, 208 -219.
AMA StyleMin-Zheng Shieh, Jui-Chun Liu, Yi-Chih Kao, Shi-Chun Tsai, Yi-Bing Lin. OAuth-Based Access Control Framework for IoT Systems. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 2021; ():208-219.
Chicago/Turabian StyleMin-Zheng Shieh; Jui-Chun Liu; Yi-Chih Kao; Shi-Chun Tsai; Yi-Bing Lin. 2021. "OAuth-Based Access Control Framework for IoT Systems." Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering , no. : 208-219.
Passive building design takes advantage of local micro-climate characteristics in site planning and analysis of house construction. In a ten-year project, we built the Orchid House with the concept of a green core to effectively reduce the energy consumption of the house. We have equipped Orchid House with smart control for passive design using an Internet of Things (IoT) solution called HouseTalk. With HouseTalk, the passive mechanisms of Orchid House are intelligently controlled to offer indoor comforts. HouseTalk integrates all sensors and actuators of the Orchid House through a Graphical User Interface (GUI). This GUI allows the users to easily and directly access all IoT devices installed in the house through graphical icon representations, and conveniently implement smart algorithms for smart home. HouseTalk dynamically adjusts the formula for HVAC operation in the closed private living area, which is appropriate for thermal control. In the open public shared space (the green core of the Orchid House), HVAC will consume much more energy, and the passive design with non-thermodynamic cycle equipment such as mechanical ventilation, evaporative cooling system, or other non-thermodynamic cycle systems are more appropriate for thermal control. HouseTalk enhances passive design by using non-thermodynamic cycle system with low energy-consumption equipment to reduce the CO2 concentration, purifying the air to maintain oxygen concentrations ranging between 18% and 21%. Also, in the green core, HouseTalk can effectively improve the cooling effect by up to 77% without HVAC.The reported thermal sensation indicates that over 90% of tenants are satisfied by HouseTalk's HVAC control. We demonstrate the potential of enhancing air quality through the photosynthesis by indoor plants. HouseTalk can effectively speed up the reduction of carbon dioxide concentrations by 53%. The oxygen concentration for the HouseTalk scenario ranges between 18% and 21%, which is always higher than that of the baseline scenario.
Yi-Bing Lin; Sheng-Kai Tseng; Ta-Hsien Hsu; Chuntei David Tseng. HouseTalk: A House That Comforts You. IEEE Access 2021, 9, 27790 -27801.
AMA StyleYi-Bing Lin, Sheng-Kai Tseng, Ta-Hsien Hsu, Chuntei David Tseng. HouseTalk: A House That Comforts You. IEEE Access. 2021; 9 ():27790-27801.
Chicago/Turabian StyleYi-Bing Lin; Sheng-Kai Tseng; Ta-Hsien Hsu; Chuntei David Tseng. 2021. "HouseTalk: A House That Comforts You." IEEE Access 9, no. : 27790-27801.
Glove Puppetry is popular in Chinese societies. Glove puppet shows have been performed in a traditional (manual) way for over 300 years. Due to the advances in information and communications technology (ICT), we can extend glove puppet art in a very different dimension. However, existing ICT solutions for puppet control have not demonstrated the time complexities for their control mechanisms nor how they can effectively control the puppets. This paper proposes PuppetTalk, an Internet of Things (IoT) application platform for puppet control. We allow multiple input IoT devices such as smart gloves to control a puppet robot, and smartphones can be used to control the sequences of actions on that robot at the same time. In particular, the PuppetTalk Graphical User Interface (GUI) allows users to quickly configure multiple distributed devices to control a puppet robot. Also, controlling puppet legs using a second glove and puppet movements with hand gestures in real time through smart phones are both innovations that have not appeared in the literature so far. When multiple input devices are used to control a puppet robot, their instructions must be received by the robot in a correct sequence. We have conducted measurements, simulation and analytic modeling to show that PuppetTalk can correctly control a puppet robot by multiple input devices with the probability higher than 99.7%.
Yi-Bing Lin; Helin Luo; Chen-Chi Liao; Yu-Fen Huang. PuppetTalk: Conversation Between Glove Puppetry and Internet of Things. IEEE Access 2021, 9, 6786 -6797.
AMA StyleYi-Bing Lin, Helin Luo, Chen-Chi Liao, Yu-Fen Huang. PuppetTalk: Conversation Between Glove Puppetry and Internet of Things. IEEE Access. 2021; 9 ():6786-6797.
Chicago/Turabian StyleYi-Bing Lin; Helin Luo; Chen-Chi Liao; Yu-Fen Huang. 2021. "PuppetTalk: Conversation Between Glove Puppetry and Internet of Things." IEEE Access 9, no. : 6786-6797.
Multi-sensor data fusion combines various information sources to produce a more accurate or complete description of the environment. This paper studies an object identification (OID) system using multiple distributed cameras and Internet of Things (IoT) devices for better visualizability and reconfigurability. We first propose a data processing and fusing method to merge the detection results of different IoT devices and video cameras, in order to locate, identify, and track target objects in the monitored area. Then, we develop the FusionTalk system by integrating the data fusion techniques with IoTtalk, an IoT device management platform. FusionTalk is designed with flexibility, modularity, and expansibility, where cameras, IoT devices, and network applications are modularized and can be conveniently plugged in/out, reconfigured, and reused through graphical user interfaces. In FusionTalk, the scope and the target of surveillance can be flexibly configured and associated, and administrators can be warned and easily visualize the movement and behavior of specific objects. Our experimental evaluation of the data fusion algorithm in various scenarios shows an identification accuracy above 95%. Finally, theoretical and numerical analyses on the failure probability of pairing IoT devices with video objects by FusionTalk are presented. Extensive experiments are performed to demonstrate the pairing effectiveness in real-world scenarios with failure probability less than 0.01%.
Ling-Yan Zhang; Hung-Cheng Lin; Kun-Ru Wu; Yi-Bing Lin; Yu-Chee Tseng. FusionTalk: An IoT-Based Reconfigurable Object Identification System. IEEE Internet of Things Journal 2020, 8, 7333 -7345.
AMA StyleLing-Yan Zhang, Hung-Cheng Lin, Kun-Ru Wu, Yi-Bing Lin, Yu-Chee Tseng. FusionTalk: An IoT-Based Reconfigurable Object Identification System. IEEE Internet of Things Journal. 2020; 8 (9):7333-7345.
Chicago/Turabian StyleLing-Yan Zhang; Hung-Cheng Lin; Kun-Ru Wu; Yi-Bing Lin; Yu-Chee Tseng. 2020. "FusionTalk: An IoT-Based Reconfigurable Object Identification System." IEEE Internet of Things Journal 8, no. 9: 7333-7345.
The new frontier research era and convergence of cognitive data science methods and models with reference to the Internet of Things (IoT) and big data systems have brought about various challenges in industrial systems that need to be addressed in the current scenario. Cognitive science will lead to a high level of fluidity to analytics. This special section aims to explore the domain knowledge and reasoning of data science technologies and cognitive methods with the IoT over the big data systems. Data science techniques have been adopted to improve the IoT in terms of data throughput, optimization, and management, and to have a major impact on the future of IoT networking systems. The main focus is the design of best cognitive embedded data science technologies to process and analyze the large amount of data collected through industrial IoT systems and help for good decision making.
Patrick Siarry; Arun Kumar Sangaiah; Yi-Bing Lin; Shiwen Mao; Marek R. Ogiela. Guest Editorial: Special Section on Cognitive Big Data Science Over Intelligent IoT Networking Systems in Industrial Informatics. IEEE Transactions on Industrial Informatics 2020, 17, 2112 -2115.
AMA StylePatrick Siarry, Arun Kumar Sangaiah, Yi-Bing Lin, Shiwen Mao, Marek R. Ogiela. Guest Editorial: Special Section on Cognitive Big Data Science Over Intelligent IoT Networking Systems in Industrial Informatics. IEEE Transactions on Industrial Informatics. 2020; 17 (3):2112-2115.
Chicago/Turabian StylePatrick Siarry; Arun Kumar Sangaiah; Yi-Bing Lin; Shiwen Mao; Marek R. Ogiela. 2020. "Guest Editorial: Special Section on Cognitive Big Data Science Over Intelligent IoT Networking Systems in Industrial Informatics." IEEE Transactions on Industrial Informatics 17, no. 3: 2112-2115.
Labor intensive visual observation has been used to study the activities of Asian parti-colored (APC) bats in the past. Through an Internet of Things (IoT) platform called BatTalk, we continuously monitor the APC bats population to investigate its compositional changes, life history, and environmental factors. BatTalk achieves the same goals as traditional visual observations with reduced man power and minimal interference to the bat activities. In particular, BatTalk automates the process to understand APC bats' regular annual life cycle history and estimate the percentage of the baby bats born and raised there, who would return to their original habitat in the coming year. This paper proposes an inexpensive manner to identify the bat habitats and bat movement paths by identifying the bat's ultrasonic signal strength and GPS position, and then show the information in a map. Our study indicates that for current BatTalk deployment, the wireless communication delays have small variance, and as long as the observer moves with a constant speed, even if he/she moves fast, the bats still can be accurately located.
Yun-Wei Lin; Tai-Hsiang Yen; Cheng-Han Chou; Yi-Bing Lin; Wen-Shu Lai. Investigating Asian Parti-colored bats using the BatTalk internet of things approach. Journal of Network and Computer Applications 2020, 172, 102809 .
AMA StyleYun-Wei Lin, Tai-Hsiang Yen, Cheng-Han Chou, Yi-Bing Lin, Wen-Shu Lai. Investigating Asian Parti-colored bats using the BatTalk internet of things approach. Journal of Network and Computer Applications. 2020; 172 ():102809.
Chicago/Turabian StyleYun-Wei Lin; Tai-Hsiang Yen; Cheng-Han Chou; Yi-Bing Lin; Wen-Shu Lai. 2020. "Investigating Asian Parti-colored bats using the BatTalk internet of things approach." Journal of Network and Computer Applications 172, no. : 102809.
On pig farms, many piglets die because they are crushed when sows roll from side to side or lie down. On average, 1.2 piglets are crushed by sows every day. To resolve the piglet mortality issue, this paper proposes PigTalk, an Artificial Intelligent (AI) based Internet of Things (IoT) platform for detecting and mitigating piglet crushing. Through real-time analysis of the voice data collected in a farrowing house, PigTalk detects if any piglet screaming occurs, and automatically activates sow-alert actuators for emergency handling of the crushing event. We propose an audio clip transform approach to pre-process the raw voice data, and utilizes Min-Max Scaling in machine learning (ML) to detect piglet screams. In our first contribution, the above data pre-processing method together with subtle parameter setups of the machine learning model improve the piglet scream detection accuracy up to 99.4%, which is better than the previous solutions (up to 92.8%). In our second contribution, we show how to design two cyber IoT devices, i.e., DataBank for data pre-processing and ML_device for real-time AI to automatically trigger actuators such as floor vibration and water drop to force a sow to stand up. We conduct analytic analysis and simulation to investigate how the detection delay affects the critical time period to save crushed piglets. Our study indicates that PigTalk can save piglets within 0.05 seconds with 99.93% of the successful rate. Such results are validated in a commercial farrowing house. PigTalk is a new approach that automatically mitigates piglet crushing.
Whai-En Chen; Yi-Bing Lin; Li-Xian Chen. PigTalk: An AI-Based IoT Platform for Piglet Crushing Mitigation. IEEE Transactions on Industrial Informatics 2020, 17, 4345 -4355.
AMA StyleWhai-En Chen, Yi-Bing Lin, Li-Xian Chen. PigTalk: An AI-Based IoT Platform for Piglet Crushing Mitigation. IEEE Transactions on Industrial Informatics. 2020; 17 (6):4345-4355.
Chicago/Turabian StyleWhai-En Chen; Yi-Bing Lin; Li-Xian Chen. 2020. "PigTalk: An AI-Based IoT Platform for Piglet Crushing Mitigation." IEEE Transactions on Industrial Informatics 17, no. 6: 4345-4355.
Metering the traffic of a flow and dropping the portion of traffic that exceeds the target rate set by the meter is very important to provide quality of service (QoS) in a network. Most existing switches on the market provide the meter function. Although these meters regulate the traffic of a UDP flow very well, according to our tests, they are not TCP-friendly. For example, we found that a TCP flow passing the meter of a commercial switch can only achieve about 10% of the target rate. Based on our studies, we found that this poor performance is due to the bad interactions between the TCP congestion control and the meter function. In this paper, we design and implement a TCP-friendly meter in the packet processing pipelines of a P4 switch. Experimental results show that our meter regulates a TCP flow very well and can maintain its achieved rate within 5% of the target rate. Compared with the meters in several hardware switches, our meter improves the achieved rate of a TCP flow by almost 85% of the target rate.
Shie-Yuan Wang; Hsien-Wen Hu; Yi-Bing Lin. Design and Implementation of TCP-Friendly Meters in P4 Switches. IEEE/ACM Transactions on Networking 2020, 28, 1885 -1898.
AMA StyleShie-Yuan Wang, Hsien-Wen Hu, Yi-Bing Lin. Design and Implementation of TCP-Friendly Meters in P4 Switches. IEEE/ACM Transactions on Networking. 2020; 28 (4):1885-1898.
Chicago/Turabian StyleShie-Yuan Wang; Hsien-Wen Hu; Yi-Bing Lin. 2020. "Design and Implementation of TCP-Friendly Meters in P4 Switches." IEEE/ACM Transactions on Networking 28, no. 4: 1885-1898.
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.
Yun-Wei Lin; Yi-Bing Lin; Tai-Hsiang Yen. SimTalk: Simulation of IoT Applications. Sensors 2020, 20, 2563 .
AMA StyleYun-Wei Lin, Yi-Bing Lin, Tai-Hsiang Yen. SimTalk: Simulation of IoT Applications. Sensors. 2020; 20 (9):2563.
Chicago/Turabian StyleYun-Wei Lin; Yi-Bing Lin; Tai-Hsiang Yen. 2020. "SimTalk: Simulation of IoT Applications." Sensors 20, no. 9: 2563.
In this paper, we propose an energy-saving elevator scheduling algorithm to reduce the car moving steps to achieve motor energy saving and green wireless communications. The proposed algorithm consisting of six procedures can attain fewer Internet of Things (IoT) message exchanges (i.e. communication transmissions) between the Scheduler subsystem and the Car subsystem via the core function AssignCar(r). The function AssignCar(r) is capable of assigning a request to the nearest car through car search globally. From the emulation results for four cars, this work shows that the proposed algorithm outperforms the previous work named as aggressive car scheduling with initial car distribution (ACSICD) algorithm with energy consumption reductions by 49.43%, 47.68%, 37.89%, and 47.65% for up-peak, inter-floor, down-peak, and all-day request patterns, respectively.
Lan-Da Van; Yi-Bing Lin; Tsung-Han Wu; Tzu-Hsiang Chao. Green Elevator Scheduling Based on IoT Communications. IEEE Access 2020, 8, 38404 -38415.
AMA StyleLan-Da Van, Yi-Bing Lin, Tsung-Han Wu, Tzu-Hsiang Chao. Green Elevator Scheduling Based on IoT Communications. IEEE Access. 2020; 8 (99):38404-38415.
Chicago/Turabian StyleLan-Da Van; Yi-Bing Lin; Tsung-Han Wu; Tzu-Hsiang Chao. 2020. "Green Elevator Scheduling Based on IoT Communications." IEEE Access 8, no. 99: 38404-38415.
The exhaustion of IPv4 addresses has led to the rapid implementation of IPv6. However, the design of IPv6 is incompatible with that of its predecessor IPv4 and slows down the development of the IPv4-to-IPv6 migration. Several transitioning mechanisms have been proposed to attain the compatibility of IPv4 and IPv6 to bridge the gap between these two heterogeneous protocols. The two protocols would need to coexist continually before IPv6 completely takes over IPv4. However, the existing captive portal authentication systems generally do not support IPv4/IPv6 dual-stack authentication and lack one-time dual-stack authentication solutions. Upgrading the authentication system has become an urgent problem to be addressed. This study presents dual-stack network management strategies using a novel one-time authentication mechanism for large and complex dual-stack network environments. The proposed authentication system resolves the inconvenience of separate IPv4 and IPv6 authentication and effectively improves the compatibility of the two protocols. Furthermore, authenticating both IPv4 and IPv6 increases the traceability of traffic logs when security attacks occur. The proposed solution is deployed in a campus dormitory environment, and the feasibility and stability are successfully verified.
Yi-Chih Kao; Jui-Chun Liu; Yi-Quan Ke; Shi-Chun Tsai; Yi-Bing Lin. Dual-Stack Network Management Through One-Time Authentication Mechanism. IEEE Access 2020, 8, 34706 -34716.
AMA StyleYi-Chih Kao, Jui-Chun Liu, Yi-Quan Ke, Shi-Chun Tsai, Yi-Bing Lin. Dual-Stack Network Management Through One-Time Authentication Mechanism. IEEE Access. 2020; 8 (99):34706-34716.
Chicago/Turabian StyleYi-Chih Kao; Jui-Chun Liu; Yi-Quan Ke; Shi-Chun Tsai; Yi-Bing Lin. 2020. "Dual-Stack Network Management Through One-Time Authentication Mechanism." IEEE Access 8, no. 99: 34706-34716.
This paper presents a high scalability real-time intelligent traffic monitoring system, based on Radio Frequency Identification (RFID). The main features of this system are low cost, low power consumption, traffic monitoring, and connectivity. The systems architecture includes an RFID reader, a passive tag, and a Raspberry Pi. Our solution collects vehicle information from the labels and stores the data into a database by employing only one antenna. The main challenge is that the RFID module is not robust enough to recognize the information in the vehicle’s RFID tag on each information query, while the label is in the reading zone. This instability does not allow us to know precisely when and where a vehicle enters or leaves the sensing zone. What is more, the high random error in the power signal and the complexity of its characteristic curve pattern add difficulty to the speed calculation, when we reduce the number of antennas to one. For this reason, an innovative approach has been designed, using customized modular neural network (MNN). This method fits the collected data (power signal vs time) affected by acute random noise, to the characteristic correspondence function among the signal power and the position of the terminal, which domains are dimensionally different. As a result, we can estimate the vehicle speeds and obtain the whole vehicle information. Under this novel method, we are able to reduce the hardware, in comparison with previous approaches, making it cheaper and decreasing power consumption.
Jose Luis Calderon Choy; Jing Wu; Chengnian Long; Yi-Bing Lin. Ubiquitous and Low Power Vehicles Speed Monitoring for Intelligent Transport Systems. IEEE Sensors Journal 2020, 20, 5656 -5665.
AMA StyleJose Luis Calderon Choy, Jing Wu, Chengnian Long, Yi-Bing Lin. Ubiquitous and Low Power Vehicles Speed Monitoring for Intelligent Transport Systems. IEEE Sensors Journal. 2020; 20 (11):5656-5665.
Chicago/Turabian StyleJose Luis Calderon Choy; Jing Wu; Chengnian Long; Yi-Bing Lin. 2020. "Ubiquitous and Low Power Vehicles Speed Monitoring for Intelligent Transport Systems." IEEE Sensors Journal 20, no. 11: 5656-5665.
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 paper 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 40%. We also investigated the communication overhead of the distributed AItalk structure, which is 3.7% for the computation of one house price valuation.
Yun-Wei Lin; Yi-Bing Lin; Chun-You Liu; Jiun-Yi Lin; Yu-Lin Shih. Implementing AI as Cyber IoT Devices: The House Valuation Example. IEEE Transactions on Industrial Informatics 2019, 16, 2612 -2620.
AMA StyleYun-Wei Lin, Yi-Bing Lin, Chun-You Liu, Jiun-Yi Lin, Yu-Lin Shih. Implementing AI as Cyber IoT Devices: The House Valuation Example. IEEE Transactions on Industrial Informatics. 2019; 16 (4):2612-2620.
Chicago/Turabian StyleYun-Wei Lin; Yi-Bing Lin; Chun-You Liu; Jiun-Yi Lin; Yu-Lin Shih. 2019. "Implementing AI as Cyber IoT Devices: The House Valuation Example." IEEE Transactions on Industrial Informatics 16, no. 4: 2612-2620.
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%.
Yi-Bing Lin; Yun-Wei Lin; Jiun-Yi Lin; Hui-Nien Hung. SensorTalk: An IoT Device Failure Detection and Calibration Mechanism for Smart Farming. Sensors 2019, 19, 4788 .
AMA StyleYi-Bing Lin, Yun-Wei Lin, Jiun-Yi Lin, Hui-Nien Hung. SensorTalk: An IoT Device Failure Detection and Calibration Mechanism for Smart Farming. Sensors. 2019; 19 (21):4788.
Chicago/Turabian StyleYi-Bing Lin; Yun-Wei Lin; Jiun-Yi Lin; Hui-Nien Hung. 2019. "SensorTalk: An IoT Device Failure Detection and Calibration Mechanism for Smart Farming." Sensors 19, no. 21: 4788.
Wen-Liang Chen; Yi-Bing Lin; Fung-Ling Ng; Chun-You Liu; Yun-Wei Lin. RiceTalk: Rice Blast Detection Using Internet of Things and Artificial Intelligence Technologies. IEEE Internet of Things Journal 2019, 7, 1001 -1010.
AMA StyleWen-Liang Chen, Yi-Bing Lin, Fung-Ling Ng, Chun-You Liu, Yun-Wei Lin. RiceTalk: Rice Blast Detection Using Internet of Things and Artificial Intelligence Technologies. IEEE Internet of Things Journal. 2019; 7 (2):1001-1010.
Chicago/Turabian StyleWen-Liang Chen; Yi-Bing Lin; Fung-Ling Ng; Chun-You Liu; Yun-Wei Lin. 2019. "RiceTalk: Rice Blast Detection Using Internet of Things and Artificial Intelligence Technologies." IEEE Internet of Things Journal 7, no. 2: 1001-1010.
Internet of Things (IoT) or massive Machine Type Communications (mMTC) is one of the essential aspects addressed by 5G mobile telecommunications. 5G core network has been deployed with Software-defined Networking (SDN) where security is an important issue. The overhead of offering security in 5G is high, which is typically incurred in encoding and decoding. This paper proposes the enhanced content permutation algorithm (eCPA) that can effectively implement secret permutation in 5G/IoT transport network with the P4 SDN switches to protect the 5G packets (especially for IoT). The encoding/decoding speed including packet routing can be up to 6.4 terabits per second, which is the fastest in the world.
Yi-Bing Lin; Tse-Jui Huang; Shi-Chun Tsai. Enhancing 5G/IoT Transport Security Through Content Permutation. IEEE Access 2019, 7, 94293 -94299.
AMA StyleYi-Bing Lin, Tse-Jui Huang, Shi-Chun Tsai. Enhancing 5G/IoT Transport Security Through Content Permutation. IEEE Access. 2019; 7 (99):94293-94299.
Chicago/Turabian StyleYi-Bing Lin; Tse-Jui Huang; Shi-Chun Tsai. 2019. "Enhancing 5G/IoT Transport Security Through Content Permutation." IEEE Access 7, no. 99: 94293-94299.
This paper proposes ElevatorTalk, an elevator development and management system based on the Internet of Things (IoT) approach called IoTtalk. This system modularizes the software into elevator components so that we can develop flexible and scalable car scheduling algorithms. ElevatorTalk consists of three subsystems: cars, scheduler, and the elevator car operating (ECO) panel. The first two subsystems are used to develop the elevator systems, and the third subsystem is used to receive requests issued by the passengers. These three subsystems work in parallel, and communicate with each other through sending and receiving messages. ElevatorTalk can connect to a real elevator system to serve as the elevator management center. It can also emulate the existing elevator systems with different car scheduling algorithms. We propose an intelligent aggressive car scheduling with initial car distribution (ACSICD) algorithm in ElevatorTalk. Our paper indicates that ACSICD has better waiting/travel/journey time performance and/or accuracy than the previous proposed algorithms. We also show that in our approach, the car scheduling decision can be quickly made with 0.2010 ms, and therefore good performance in the time complexity is achieved.
Lan-Da Van; Yi-Bing Lin; Tsung-Han Wu; Yu-Chi Lin. An Intelligent Elevator Development and Management System. IEEE Systems Journal 2019, 14, 3015 -3026.
AMA StyleLan-Da Van, Yi-Bing Lin, Tsung-Han Wu, Yu-Chi Lin. An Intelligent Elevator Development and Management System. IEEE Systems Journal. 2019; 14 (2):3015-3026.
Chicago/Turabian StyleLan-Da Van; Yi-Bing Lin; Tsung-Han Wu; Yu-Chi Lin. 2019. "An Intelligent Elevator Development and Management System." IEEE Systems Journal 14, no. 2: 3015-3026.