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This paper proposed a triangular inequality-based rewiring method for the rapidly exploring random tree (RRT)-Connect robot path-planning algorithm that guarantees the planning time compared to the RRT algorithm, to bring it closer to the optimum. To check the proposed algorithm’s performance, this paper compared the RRT and RRT-Connect algorithms in various environments through simulation. From these experimental results, the proposed algorithm shows both quicker planning time and shorter path length than the RRT algorithm and shorter path length than the RRT-Connect algorithm with a similar number of samples and planning time.
Jin-Gu Kang; Dong-Woo Lim; Yong-Sik Choi; Woo-Jin Jang; Jin-Woo Jung. Improved RRT-Connect Algorithm Based on Triangular Inequality for Robot Path Planning. Sensors 2021, 21, 333 .
AMA StyleJin-Gu Kang, Dong-Woo Lim, Yong-Sik Choi, Woo-Jin Jang, Jin-Woo Jung. Improved RRT-Connect Algorithm Based on Triangular Inequality for Robot Path Planning. Sensors. 2021; 21 (2):333.
Chicago/Turabian StyleJin-Gu Kang; Dong-Woo Lim; Yong-Sik Choi; Woo-Jin Jang; Jin-Woo Jung. 2021. "Improved RRT-Connect Algorithm Based on Triangular Inequality for Robot Path Planning." Sensors 21, no. 2: 333.
IBM Watson is one of the representative tools for speech recognition system which can automatically generate not only speech-to-text information but also speaker ID and timing information, which is called as Informatized Caption. However, if there is some noise in the voice signal to the IBM Watson API, the recognition performance is significantly decreased. It can be easily found in movies with background music and special sound effects. This paper aims to improve the inaccuracy problem of current Informatized Captions in noisy environments. In this paper, a method of modifying incorrectly recognized words and a method of enhancing timing accuracy while updating database in real time are suggested based on the original caption and Informatized Caption information. Experimental results shows that the proposed method can give 81.09% timing accuracy for the case of 10 representative animation, horror and action movies.
Yong-Sik Choi; Jin-Gu Kang; Jong Wha J. Joo; Jin-Woo Jung. Real-time Informatized caption enhancement based on speaker pronunciation time database. Multimedia Tools and Applications 2020, 1 -22.
AMA StyleYong-Sik Choi, Jin-Gu Kang, Jong Wha J. Joo, Jin-Woo Jung. Real-time Informatized caption enhancement based on speaker pronunciation time database. Multimedia Tools and Applications. 2020; ():1-22.
Chicago/Turabian StyleYong-Sik Choi; Jin-Gu Kang; Jong Wha J. Joo; Jin-Woo Jung. 2020. "Real-time Informatized caption enhancement based on speaker pronunciation time database." Multimedia Tools and Applications , no. : 1-22.
In this paper, we suggest an automated method for counting sperms using sequential microscopic image captured from the smartphone and additional microscopic lens. First, ROI image is created and then converts to the binary image. Using the previous frame, this binary image creates the subtraction image. After labeling of the subtraction image, counting the number of sperms is possible by the characteristics of microscopic image. Experimental results show that the results from the proposed algorithm is meaningful in the criteria from WHO standards.
Hyun-Mo Yang; Dong-Woo Lim; Yong-Sik Choi; In-Hwan Kim; Ailing Lin; Jin-Woo Jung. Sperm Count Analysis Using Microscopic Image Processing. Lecture Notes in Electrical Engineering 2019, 484 -489.
AMA StyleHyun-Mo Yang, Dong-Woo Lim, Yong-Sik Choi, In-Hwan Kim, Ailing Lin, Jin-Woo Jung. Sperm Count Analysis Using Microscopic Image Processing. Lecture Notes in Electrical Engineering. 2019; ():484-489.
Chicago/Turabian StyleHyun-Mo Yang; Dong-Woo Lim; Yong-Sik Choi; In-Hwan Kim; Ailing Lin; Jin-Woo Jung. 2019. "Sperm Count Analysis Using Microscopic Image Processing." Lecture Notes in Electrical Engineering , no. : 484-489.
One of the major AI research fields is natural language processing by speech recognition. IBM Watson is one of the representative tools for this speech recognition system which can automatically generate not only the recognized words from voice signal but also the speaker ID and timing information of each words including the starting time and the ending time. However, IBM Watson is not enough good and easily generate incorrect recognition output when there are some noise in the audio signal, especially for movies where background music and special sound effects are incorporated together. There were some studies to solve this problem using the IBM Watson API based on the assumption that speaker pronunciation time DB was already implemented properly. But, it is not easy to make speaker pronunciation time DB and it requires big cost. In this paper, to resolve this problem of speaker pronunciation time DB, we introduce an efficient method to implement and update the speaker pronunciation time DB in real time.
Yong-Sik Choi; In-Hwan Kim; Hyun-Mo Yang; Dong-Woo Lim; Ailing Lin; Jin-Woo Jung. A Method to Real-Time Update Speaker Pronunciation Time-Database for the Application of Informatized Caption Enhancement by IBM Watson API. Lecture Notes in Electrical Engineering 2019, 490 -495.
AMA StyleYong-Sik Choi, In-Hwan Kim, Hyun-Mo Yang, Dong-Woo Lim, Ailing Lin, Jin-Woo Jung. A Method to Real-Time Update Speaker Pronunciation Time-Database for the Application of Informatized Caption Enhancement by IBM Watson API. Lecture Notes in Electrical Engineering. 2019; ():490-495.
Chicago/Turabian StyleYong-Sik Choi; In-Hwan Kim; Hyun-Mo Yang; Dong-Woo Lim; Ailing Lin; Jin-Woo Jung. 2019. "A Method to Real-Time Update Speaker Pronunciation Time-Database for the Application of Informatized Caption Enhancement by IBM Watson API." Lecture Notes in Electrical Engineering , no. : 490-495.
There are various motion planning techniques for robots or agents, such as bug algorithm, visibility graph, Voronoi diagram, cell decomposition, potential field, and other probabilistic algorithms. Each technique has its own advantages and drawbacks, depending on the number and shape of obstacles and performance criteria. Especially, a potential field has vector values for movement guidance to the goal, and the method can be used to make an instantaneous and smooth robot movement path without an additional controller. However, there may be some positions with zero force value, called local minima, where the robot or agent stops and cannot move any further. There are some solutions for local minima, such as random walk or backtracking, but these are not yet good enough to solve the local minima problem. In this paper, we propose a novel movement guidance method that is based on the water sink model to overcome the previous local minima problem of potential field methods. The concept of the water sink model is to mimic the water flow, where there is a sink or bathtub with a plughole and floating piece on the water. The plughole represents the goal position and the floating piece represents robot. In this model, when the plug is removed, water starts to drain out via the plughole and the robot can always reach the goal by the water flow. The water sink model simulator is implemented and a comparison of experimental results is done between the water sink model and potential field.
Gi-Yoon Jeon; Jin-Woo Jung. Water Sink Model for Robot Motion Planning. Sensors 2019, 19, 1269 .
AMA StyleGi-Yoon Jeon, Jin-Woo Jung. Water Sink Model for Robot Motion Planning. Sensors. 2019; 19 (6):1269.
Chicago/Turabian StyleGi-Yoon Jeon; Jin-Woo Jung. 2019. "Water Sink Model for Robot Motion Planning." Sensors 19, no. 6: 1269.
The Expanded Douglas–Peucker (EDP) polygonal approximation algorithm and its application method for the Opposite Angle-Based Exact Cell Decomposition (OAECD) are proposed for the mobile robot path-planning problem with curvilinear obstacles. The performance of the proposed algorithm is compared with the existing Douglas–Peucker (DP) polygonal approximation and vertical cell decomposition algorithm. The experimental results show that the path generated by the OAECD algorithm with EDP approximation appears much more natural and efficient than the path generated by the vertical cell decomposition algorithm with DP approximation.
Jin-Woo Jung; Byung-Chul So; Jin-Gu Kang; Dong-Woo Lim; Yunsik Son. Expanded Douglas–Peucker Polygonal Approximation and Opposite Angle-Based Exact Cell Decomposition for Path Planning with Curvilinear Obstacles. Applied Sciences 2019, 9, 638 .
AMA StyleJin-Woo Jung, Byung-Chul So, Jin-Gu Kang, Dong-Woo Lim, Yunsik Son. Expanded Douglas–Peucker Polygonal Approximation and Opposite Angle-Based Exact Cell Decomposition for Path Planning with Curvilinear Obstacles. Applied Sciences. 2019; 9 (4):638.
Chicago/Turabian StyleJin-Woo Jung; Byung-Chul So; Jin-Gu Kang; Dong-Woo Lim; Yunsik Son. 2019. "Expanded Douglas–Peucker Polygonal Approximation and Opposite Angle-Based Exact Cell Decomposition for Path Planning with Curvilinear Obstacles." Applied Sciences 9, no. 4: 638.
For intelligent support of consruction site, it is needed to estimate the workload of excavator bucket. But, previous studies are not practical by the reason of non-real-time processing or implementation cost. In this paper, a novel method, which use only a single camera and image processing technique to estimate the workload of excavator bucket, is addressed based on the assumption of actual bucket size, uniformity of sand, and geometric model for the shape of excavator bucket and the shape of accumulated sand in the bucket. For the ease of analysis, the state of bucket was divided into three states, Under-Struck state, Struck state, and Heaped state, depending on the amount of sand accumulation. Specially, Heaped state was also divided into Sharply-Heaped state and Smoothly-Heaped state depending on the relative height of peak point of the sand pyramid in the view of photographed image. By finding the positions of bucket corner points, highest vertex of the sand pyramid and uppermost edge point of the sand region in photographed image, various geometric parameters are found by using mathematical modeling. Hereafter, the volume of sand in the bucket is estimated by using the ratio between the length of the actual bucket and the length of the bucket in the photographed image. Finally, the workload of the excavator bucket represented by the mass is obtained by multiplying the pre-defined density of sand. Experimental results show that the accuracy of the proposed method is 93.7% on average.
In-Hwan Kim; Dong-Woo Lim; Jin-Woo Jung. Single-camera-based sand volume estimation of an excavator bucket. Multimedia Tools and Applications 2019, 78, 5493 -5522.
AMA StyleIn-Hwan Kim, Dong-Woo Lim, Jin-Woo Jung. Single-camera-based sand volume estimation of an excavator bucket. Multimedia Tools and Applications. 2019; 78 (5):5493-5522.
Chicago/Turabian StyleIn-Hwan Kim; Dong-Woo Lim; Jin-Woo Jung. 2019. "Single-camera-based sand volume estimation of an excavator bucket." Multimedia Tools and Applications 78, no. 5: 5493-5522.
In-Hwan Kim; Dong-Woo Lim; Jin-Woo Jung. Development of Sand Volume Estimator for Under-Struck Excavator Bucket Using Single Camera. The International Journal of Fuzzy Logic and Intelligent Systems 2018, 18, 254 -262.
AMA StyleIn-Hwan Kim, Dong-Woo Lim, Jin-Woo Jung. Development of Sand Volume Estimator for Under-Struck Excavator Bucket Using Single Camera. The International Journal of Fuzzy Logic and Intelligent Systems. 2018; 18 (4):254-262.
Chicago/Turabian StyleIn-Hwan Kim; Dong-Woo Lim; Jin-Woo Jung. 2018. "Development of Sand Volume Estimator for Under-Struck Excavator Bucket Using Single Camera." The International Journal of Fuzzy Logic and Intelligent Systems 18, no. 4: 254-262.
This paper proposes an adaptive duty-cycled hybrid X-MAC (ADX-MAC) protocol for energy-efficient forest fire prediction. The Asynchronous sensor network protocol, X-MAC protocol, acquires additional environmental status details from each forest fire monitoring sensor for a given period, and then changes the duty-cycle sleep interval to efficiently calculate forest fire occurrence risk according to the environment. Performance was verified experimentally, and the proposed ADX-MAC protocol improved throughput by 19% and was 24% more energy efficient compared to the X-MAC protocol. The duty-cycle was shortened as forest fire probability increased, ensuring forest fires were detected at faster cycle rate.
Jin-Gu Kang; Dong-Woo Lim; Jin-Woo Jung. Energy-Efficient Forest Fire Prediction Model Based on Two-Stage Adaptive Duty-Cycled Hybrid X-MAC Protocol. Sensors 2018, 18, 2960 .
AMA StyleJin-Gu Kang, Dong-Woo Lim, Jin-Woo Jung. Energy-Efficient Forest Fire Prediction Model Based on Two-Stage Adaptive Duty-Cycled Hybrid X-MAC Protocol. Sensors. 2018; 18 (9):2960.
Chicago/Turabian StyleJin-Gu Kang; Dong-Woo Lim; Jin-Woo Jung. 2018. "Energy-Efficient Forest Fire Prediction Model Based on Two-Stage Adaptive Duty-Cycled Hybrid X-MAC Protocol." Sensors 18, no. 9: 2960.
In this paper, we propose an adaptive duty-cycled hybrid X-MAC (ADX-MAC) protocol for energy-efficient forest fire prediction. The X-MAC protocol acquires the additional environmental status collected by each forest fire monitoring sensor for a certain period. And, based on these values, the length of sleep interval of duty-cycle is changed to efficiently calculate the risk of occurrence of forest fire according to the mountain environment. The performance of the proposed ADX-MAC protocol was verified through experiments the proposed ADX-MAC protocol improves throughput by 19% and was more energy-efficient by 24% compared to X-MAC protocol. As the probability of forest fires increases, the length of the duty cycle is shortened, confirming that the forest fires are detected at a faster cycle.
Jin-Gu Kang; Dong-Woo Lim; Jin-Woo Jung. Energy-Efficient Forest Fire Prediction Model based on Two-Stage Adaptive Duty-Cycled Hybrid X-MAC Protocol. 2018, 1 .
AMA StyleJin-Gu Kang, Dong-Woo Lim, Jin-Woo Jung. Energy-Efficient Forest Fire Prediction Model based on Two-Stage Adaptive Duty-Cycled Hybrid X-MAC Protocol. . 2018; ():1.
Chicago/Turabian StyleJin-Gu Kang; Dong-Woo Lim; Jin-Woo Jung. 2018. "Energy-Efficient Forest Fire Prediction Model based on Two-Stage Adaptive Duty-Cycled Hybrid X-MAC Protocol." , no. : 1.
In this paper, we try to estimate the workload of the excavator bucket for the case of smoothly-heaped sand by assuming the shape of bucket and the shape of sand in the bucket as mathematical models. By analyzing the relation between single camera image and actual bucket geometry, we can estimate the volume of sand which is proportional to the excavator workload.
Dong-Woo Lim; In-Hwan Kim; Jin-Woo Jung. Single Camera-Based Estimation of Sand Volume for Smoothly Heaped Excavator Bucket. Advanced Science Letters 2018, 24, 2006 -2010.
AMA StyleDong-Woo Lim, In-Hwan Kim, Jin-Woo Jung. Single Camera-Based Estimation of Sand Volume for Smoothly Heaped Excavator Bucket. Advanced Science Letters. 2018; 24 (3):2006-2010.
Chicago/Turabian StyleDong-Woo Lim; In-Hwan Kim; Jin-Woo Jung. 2018. "Single Camera-Based Estimation of Sand Volume for Smoothly Heaped Excavator Bucket." Advanced Science Letters 24, no. 3: 2006-2010.
In this paper, we present a directional antenna-based leader–follower robotic relay system capable of building end-to-end communication in complicated and dynamically changing environments. The proposed system consists of multiple networked robots — one is a mobile end node and the others are leaders or followers acting as radio relays. Every follower uses directional antennas to relay a communication radio and to estimate the location of the leader robot as a sensory device. For bearing estimation, we employ a weight centroid algorithm (WCA) and present a theoretical analysis of the use of WCA for this work. Using a robotic convoy method, we develop online, distributed control strategies that satisfy the scalability requirements of robotic network systems and enable cooperating robots to work independently. The performance of the proposed system is evaluated by conducting extensive real-world experiments that successfully build actual communication between two end nodes.
Byung-Cheol Min; Ramviyas Nattanmai Parasuraman; Sangjun Lee; Jin-Woo Jung; Eric T. Matson. A directional antenna based leader–follower relay system for end-to-end robot communications. Robotics and Autonomous Systems 2018, 101, 57 -73.
AMA StyleByung-Cheol Min, Ramviyas Nattanmai Parasuraman, Sangjun Lee, Jin-Woo Jung, Eric T. Matson. A directional antenna based leader–follower relay system for end-to-end robot communications. Robotics and Autonomous Systems. 2018; 101 ():57-73.
Chicago/Turabian StyleByung-Cheol Min; Ramviyas Nattanmai Parasuraman; Sangjun Lee; Jin-Woo Jung; Eric T. Matson. 2018. "A directional antenna based leader–follower relay system for end-to-end robot communications." Robotics and Autonomous Systems 101, no. : 57-73.
Yong-Sik Choi; Yunsik Son; Jin-Woo Jung. Informatized Caption Enhancement Based on IBM Watson API and Speaker Pronunciation. 7th International Conference on Natural Language Processing 2018, 1 .
AMA StyleYong-Sik Choi, Yunsik Son, Jin-Woo Jung. Informatized Caption Enhancement Based on IBM Watson API and Speaker Pronunciation. 7th International Conference on Natural Language Processing. 2018; ():1.
Chicago/Turabian StyleYong-Sik Choi; Yunsik Son; Jin-Woo Jung. 2018. "Informatized Caption Enhancement Based on IBM Watson API and Speaker Pronunciation." 7th International Conference on Natural Language Processing , no. : 1.
YongHo Kim; Jin-Woo Jung; John C. Gallagher; And Eric T. Matson. An Adaptive Goal-Based Model for Autonomous Multi-Robot Using HARMS and NuSMV. The International Journal of Fuzzy Logic and Intelligent Systems 2016, 16, 95 -103.
AMA StyleYongHo Kim, Jin-Woo Jung, John C. Gallagher, And Eric T. Matson. An Adaptive Goal-Based Model for Autonomous Multi-Robot Using HARMS and NuSMV. The International Journal of Fuzzy Logic and Intelligent Systems. 2016; 16 (2):95-103.
Chicago/Turabian StyleYongHo Kim; Jin-Woo Jung; John C. Gallagher; And Eric T. Matson. 2016. "An Adaptive Goal-Based Model for Autonomous Multi-Robot Using HARMS and NuSMV." The International Journal of Fuzzy Logic and Intelligent Systems 16, no. 2: 95-103.
Byung-Cheol Min; YongHo Kim; Sangjun Lee; Jin-Woo Jung; Eric T. Matson. Finding the optimal location and allocation of relay robots for building a rapid end-to-end wireless communication. Ad Hoc Networks 2016, 39, 23 -44.
AMA StyleByung-Cheol Min, YongHo Kim, Sangjun Lee, Jin-Woo Jung, Eric T. Matson. Finding the optimal location and allocation of relay robots for building a rapid end-to-end wireless communication. Ad Hoc Networks. 2016; 39 ():23-44.
Chicago/Turabian StyleByung-Cheol Min; YongHo Kim; Sangjun Lee; Jin-Woo Jung; Eric T. Matson. 2016. "Finding the optimal location and allocation of relay robots for building a rapid end-to-end wireless communication." Ad Hoc Networks 39, no. : 23-44.
Byung-Cheol Min; Eric T. Matson; Jin-Woo Jung. Active Antenna Tracking System with Directional Antennas for Enhancing Wireless Communication Capabilities of a Networked Robotic System. Journal of Field Robotics 2015, 33, 391 -406.
AMA StyleByung-Cheol Min, Eric T. Matson, Jin-Woo Jung. Active Antenna Tracking System with Directional Antennas for Enhancing Wireless Communication Capabilities of a Networked Robotic System. Journal of Field Robotics. 2015; 33 (3):391-406.
Chicago/Turabian StyleByung-Cheol Min; Eric T. Matson; Jin-Woo Jung. 2015. "Active Antenna Tracking System with Directional Antennas for Enhancing Wireless Communication Capabilities of a Networked Robotic System." Journal of Field Robotics 33, no. 3: 391-406.
As machine intelligence has deep effects on human life, engineers have been challenged with exquisite and complex problems and experiments when using information processing and intelligent systems. With the motivation of new possibility, many researchers have proposed the innovative technologies of information processing and intelligent systems, which contribute greatly to setting up the new paradigms that affect society and privacy. Intelligent systems and information processing are basic elements to integrate the concepts of machine intelligence, internet of things, fuzzy logic, and autonomous control. In recent decades, these technologies have made great progress in the field of the third industrial revolution called as a popular term. Under the trends to develop remarkable machine intelligence, we would like to introduce a high quality of articles presenting experimental results by using the intelligent system and information processing.
Jin-Woo Jung; Hiroshi Wakuya; Byoung-Tak Zhang. Preface. Soft Computing 2015, 19, 813 -814.
AMA StyleJin-Woo Jung, Hiroshi Wakuya, Byoung-Tak Zhang. Preface. Soft Computing. 2015; 19 (4):813-814.
Chicago/Turabian StyleJin-Woo Jung; Hiroshi Wakuya; Byoung-Tak Zhang. 2015. "Preface." Soft Computing 19, no. 4: 813-814.
Yunsik Son; Jin-Woo Jung. Self-Management Technique for Adaptive Robot Software based on Task Environment Similarity. Procedia Computer Science 2015, 56, 538 -543.
AMA StyleYunsik Son, Jin-Woo Jung. Self-Management Technique for Adaptive Robot Software based on Task Environment Similarity. Procedia Computer Science. 2015; 56 ():538-543.
Chicago/Turabian StyleYunsik Son; Jin-Woo Jung. 2015. "Self-Management Technique for Adaptive Robot Software based on Task Environment Similarity." Procedia Computer Science 56, no. : 538-543.
YongHo Kim; Jin-Woo Jung; Eric T. Matson. An Adaptive Task-Based Model for Autonomous Multi-Robot Using HARMS and NuSMV. Procedia Computer Science 2015, 56, 127 -132.
AMA StyleYongHo Kim, Jin-Woo Jung, Eric T. Matson. An Adaptive Task-Based Model for Autonomous Multi-Robot Using HARMS and NuSMV. Procedia Computer Science. 2015; 56 ():127-132.
Chicago/Turabian StyleYongHo Kim; Jin-Woo Jung; Eric T. Matson. 2015. "An Adaptive Task-Based Model for Autonomous Multi-Robot Using HARMS and NuSMV." Procedia Computer Science 56, no. : 127-132.
The problem to localize transparent glass obstacles using laser range finder is very difficult and still open problem. Most of applications use additional sensor device such as sonar sensor to cope with the transparent glass obstacle environment. This paper deals with that problem only using laser range finder. By the insight from human sensing mechanism which uses the fusion of more data with different view directions or different measurement locations, a novel method to localize transparent glass obstacles is addressed. And, the effectiveness of the proposed algorithm is evaluated by the real robot experiments with three case studies.
Jungsoo Park; Eric T . Matson; Jin-Woo Jung. A Method to Localize Transparent Glass Obstacle Using Laser Range Finder in Mobile Robot Indoor Navigation. Advances in Intelligent Systems and Computing 2014, 274, 29 -35.
AMA StyleJungsoo Park, Eric T . Matson, Jin-Woo Jung. A Method to Localize Transparent Glass Obstacle Using Laser Range Finder in Mobile Robot Indoor Navigation. Advances in Intelligent Systems and Computing. 2014; 274 ():29-35.
Chicago/Turabian StyleJungsoo Park; Eric T . Matson; Jin-Woo Jung. 2014. "A Method to Localize Transparent Glass Obstacle Using Laser Range Finder in Mobile Robot Indoor Navigation." Advances in Intelligent Systems and Computing 274, no. : 29-35.