Awards - THI THI ZIN
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Best Presentation Award
2025.4 2025 10th International Conference on Multimedia and Image Processing (ICMIP 2025) Machine learning-based prediction of cattle body condition score using 3D point cloud surface features
Pyae Phyo Kyaw, Thi Thi Zin, Pyke Tin, M. Aikawa, I. Kobayashi
Award type：Award from international society, conference, symposium, etc. Country：Japan
Body Condition Score (BCS) of dairy cattle is a crucial indicator of their health, productivity, and reproductive performance throughout the production cycle. Recent advancements in computer vision techniques has led to the development of automated BCS prediction systems. This paper proposes a BCS prediction system that leverages 3D point cloud surface features to enhance accuracy and reliability. Depth images are captured from a top-view perspective and processed using a hybrid depth image detection model to extract the cattle’s back surface region. The extracted depth data is converted into point cloud data, from which various surface features are analyzed, including normal vectors, curvature, point density, and surface shape characteristics (planarity, linearity, and sphericity). Additionally, Fast Point Feature Histograms (FPFH), triangle mesh area, and convex hull area are extracted and evaluated using three optimized machine learning models: Random Forest (RF), K-Nearest Neighbors (KNN), and Gradient Boosting (GB). Model performance is assessed using different tolerance levels and error metrics, including Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE). Among the models, Random Forest demonstrates the highest performance, achieving accuracy rates of 51.36%, 86.21%, and 97.83% at 0, 0.25, and 0.5 tolerance levels, respectively, with an MAE of 0.161 and MAPE of 5.08%. This approach enhances the precision of BCS estimation, offering a more reliable and automated solution for dairy cattle monitoring and health management.
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Best Presentation Award
2025.4 2025 10th International Conference on Multimedia and Image Processing (ICMIP 2025) Minimizing Resource Usage for Real-Time Network Camera Tracking of Black Cows
Aung Si Thu Moe, Thi Thi Zin, Pyke Tin, M. Aikawa, I. Kobayashi
Award type：Award from international society, conference, symposium, etc. Country：Japan
Livestock plays a crucial role in the farming industry to meet consumer demand. A livestock monitoring system helps track animal health while reducing labor requirements. Most livestock farms are small, family-owned operations. This study proposes a real-time black cow detection and tracking system using network cameras in memory and disk constrained environments. We employ the Detectron2 Mask R-CNN ResNeXt-101 model for black cow region detection and the ByteTrack algorithm for tracking. ByteTrack tracks multiple objects by associating each detection box. Unlike other deep learning tracking algorithms that use multiple features such as texture, color, shape, and size. ByteTrack effectively reduces tracking ID errors and ID switches. Detecting and tracking black cows in real-time is challenging due to their uniform color and similar sizes. To optimize performance on low-specification machines, we apply ONNX (Open Neural Network Exchange) to the Detectron2 detection model for optimization and quantization. The system processes input images from network cameras, enhances color during preprocessing, and detects and tracks black cows efficiently. Our system achieves 95.97% mAP@0.75 detection accuracy and 97.16 % in daytime video and 94.83 % in nighttime accuracy of tracking are effectively tracks individual black cows, minimizing duplicate IDs and improving tracking after missed detections or occlusions. The system is designed to operate on machines with minimal hardware requirements.
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2024.12 SOFT九州支部【学会名】第26回日本知能情報ファジィ学会九州支部学術講演会 マハラノビス距離を用いた胎児心拍変動の定量的評価とpH分類
Tunn Cho Lwin, Thi Thi Zin, Pyke Tin, 紀 愛美, 池ノ上 克
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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2024.12 SOFT九州支部【学会名】第26回日本知能情報ファジィ学会九州支部学術講演会 軽量なPointNet++モデルを用いたカラー点群に基づく牛識別システム
Pyae Phyo Kyaw, Thi Thi Zin, Pyke Tin, 相川 勝, 小林 郁雄
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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Best Presentation Award
2024.9 18th International Conference on Innovative Computing, Information and Control (ICICIC2024) Integrating Entropy Measures of Fetal Heart Rate Variability with Digital Twin Technology to Enhance Fetal Monitoring
Tunn Cho Lwin, Thi Thi Zin, Pyae Phyo Kyaw, Pyke Tin, E. Kino and T. Ikenoue
Award type：Award from international society, conference, symposium, etc. Country：China
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Best Paper Award
2024.9 6TH IEEE MASS WORKSHOP ON SMART LIVING WITH IOT, CLOUD, AND EDGE COMPUTING ( COLOCATED WITH IEEE MASS 2024) Analyzing Parameter Patterns in YOLOv5-based Elderly Person Detection Across Variations of Data
Ye Htet, Thi Thi Zin, Pyke Tin, H. Tamura, K. Kondo, S. Watanabe, E. Chosa
Award type：Award from international society, conference, symposium, etc.
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Best Paper Award
2024.8 The 16th International Conference on Genetic and Evolutionary Computing (ICGEC-2024) Cattle Lameness Detection Using Leg Region Keypoints from a Single RGB Camera
Bo Bo Myint, Thi Thi Zin, M. Aikawa, I. Kobayashi and Pyke Tin
Award type：Award from international society, conference, symposium, etc. Country：Japan
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Best Paper Award
2024.8 The 16th International Conference on Genetic and Evolutionary Computing (ICGEC-2024) Utilizing Behavioral Features for Predicting Calving Time
Wai Hnin Eaindrar Mg, Pyke Tin, M. Aikawa, I. Kobayashi, Y. Horii, K. Honkawa, Thi Thi Zin
Award type：Award from international society, conference, symposium, etc. Country：Japan
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Best Paper Award
2024.8 The 16th International Conference on Genetic and Evolutionary Computing (ICGEC-2024) Applying Digital Restoration Techniques in Preservation of Ancient Murals using DiffusionBased Inpainting
Khant Khant Win Tint, Mie Mie Tin, Thi Thi Zin and Pyke Tin
Award type：Award from international society, conference, symposium, etc. Country：Japan
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Best Paper Award
2024.8 The 16th International Conference on Genetic and Evolutionary Computing (ICGEC-2024) Cattle Lameness Classification Using Cattle Back Depth Information
San Chain Tun, Pyke Tin, M. Aikawa, I. Kobayashi and Thi Thi Zin
Award type：Award from international society, conference, symposium, etc. Country：Japan
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Best Paper Award
2024.8 The 16th International Conference on Genetic and Evolutionary Computing (ICGEC-2024) Identification of Rumination Patterns in Cattle Through Optical Flow Analysis and Machine Learning Techniques
T. Ishikawa, Thi Thi Zin, M. Aikawa, I. Kobayashi
Award type：Award from international society, conference, symposium, etc. Country：Japan
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Best Paper Award
2024.8 The 16th International Conference on Genetic and Evolutionary Computing (ICGEC-2024) From Vision to Vocabulary: A Multimodal Approach to Detect and Track Black CAttle Behaviors
Su Myat Noe, Thi Thi Zin, Pyke Tin and I. Kobayashi
Award type：Award from international society, conference, symposium, etc. Country：Japan
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Student paper Award
2024.3 2024 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing Kalman Velocity-based Multi-Stage Classification Approach for Recognizing Black Cow Actions
Cho Cho Aye, Thi Thi Zin, M. Aikawa, I. Kobayashi
Award type：Award from international society, conference, symposium, etc.
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Student paper Award
2024.3 2024 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing Enhancing Precision Agriculture: Innovative Tracking Solutions for Black Cattle Monitoring
Su Myat Noe, Thi Thi Zin, Pyke Tin, and Ikuo Kobayashi
Award type：Award from international society, conference, symposium, etc.
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Best Paper Award
2023.11 The 9th International Conference on Science and Technology (ICST UGM 2023) An Innovative Framework for Cattle Activity Monitoring: Combining AI-Based Markov Chain Model with IoT Devices
Y. Hashimoto, Thi Thi Zin, Pyke Tin, I. Kobayashi and H. Hama
Award type：Award from international society, conference, symposium, etc.
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IEEE GCCE 2022 Excellent Student Paper Awards (Outstanding Prize)
2022.10 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE2022) Video-Based Automatic Cattle Identification System
Su Larb Mon, Thi Thi Zin, Pyke Tin, I. Kobayashi
Award type：Award from international society, conference, symposium, etc. Country：Japan
In this paper, we propose a method to identify the cattle by using video sequences. In order to do so, we first collect 360-degree top-view video sequences to form dataset. The proposed system is composed of two parts: cattle detection and cattle identification. In the detection process, we utilize YOLOv5(You Only Look Once) model to detect the cattle region in the lane. In this stage, cattle’s location and region information are extracted and the cropped images of detected cattle regions are saved for the next stage. We then apply Convolutional Neural Network model (VGG16) to extract the features which will be used to identify individual cattle. For the classification, the proposed system used two supervised machine learning methods, Random Forest and SVM (Support Vector Machine). The accuracy of Random Forest is 98.5% and the accuracy of SVM is 99.6%. After comparing the accuracy rate of two methods, SVM get the better accuracy result. The proposed system achieved the accuracy of over 90% for both cattle detection and identification.
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Best Presentation Award
2022.9 The 16th International Conference on Innovative Computing, Information and Control (ICICIC2022) Comparative Study on Color Spaces, Distance Measures and Pretrained Deep Neural Networks for Cow Recognition
Cho Cho Mar, Thi Thi Zin, Pyke Tin, I. Kobayashi, K. Honkawa, Y. Horii
Award type：Award from international society, conference, symposium, etc. Country：Japan
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Best Presentation Award
2022.3 The Fifth International Symposium on Information and Knowledge Management (ISIKM2022) Black Cow Localization and Tracking with YOLOv5 and Deep SORT
Cho Cho Aye, Thi Thi Zin, I. Kobayashi
Award type：Award from international society, conference, symposium, etc. Country：Japan
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IEEE LifeTech 2022 WIE Excellent Paper Award
2022.3 IEEE 4th Global Conference on Life Sciences and Technologies（LifeTech2022) A Hybrid Approach: Image Processing Techniques and Deep Learning Method for Cow Detection and Tracking System
Cho Cho Mar, Thi Thi Zin, I. Kobayashi, Y. Horii
Award type：Award from international society, conference, symposium, etc. Country：Japan
Cow detection and tracking system plays an important role in cattle farming and diary community to reduce expenses and workload. This research presents how the conventional image processing techniques can be combined with deep learning concepts to establish cow detection and tracking system. Specifically, we first employ a Hybrid Task Cascade (HTC) instance segmentation network for cow detection. We then built the multiple objects tracking (MOT) algorithm utilizing location and appearance cues (color and CNN features) to carry out cow tracking process. To leverage the robustness of the system, we also considered the recent features from the previous tracked cow.
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IEEE GCCE2021 Excellent Paper Award Gold Prize
2021.10
Award type：Award from international society, conference, symposium, etc. Country：Japan
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Best Presentation Award
2021.9 15th International Conference on Innovative Computing, Information and Control (ICICIC2021) Application of Methods in Sequential Analysis to Dairy Cow Calving Events
Thi Thi Zin, K. Sumi, Pann Thinzar Seint, Pyke Tin, I. Kobayashi
Award type：Award from international society, conference, symposium, etc. Country：Japan
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IEEE LifeTech 2021 WIE Paper Award
2021.3 IEEE 3rd Global Conference on Life Sciences and Technologies（LifeTech2021) Automatic Detection of Mounting Behavior in Cattle using Semantic Segmentation and Classification
Su Myat Noe, Thi Thi Zin, Ikuo Kobayashi, Pyke Tin
Award type：Award from international society, conference, symposium, etc. Country：Japan
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IEEE LifeTech 2020 WIE Paper Award
2020.3 IEEE 2nd Global Conference on Life Sciences and Technologies（LifeTech2020) Human Action Analysis Using Virtual Grounding Point and Motion History
Swe Nwe Nwe Htun, Thi Thi Zin, Hiromitsu Hama
Award type：Award from international society, conference, symposium, etc. Country：Japan
In this paper, we propose an approach to human action analysis for home care monitoring system in the aspect of image processing and life science technologies. We introduce a new concept of a virtual grounding point representing the position of a target person as an innovated feature for action analysis. Specifically, in developing action analysis, the background subtraction is firstly conducted by applying the Mixture of Gaussian and low rank subspace learning. After that, the graph cut is embedded to enhance the foregrounds in order to detect both of moving and motionless object. Secondly, the virtual grounding point is calculated by using the centroid of silhouette image. Finally, motion of the person is estimated by using timed motion history image in order to improve the accuracy of action analysis. A series of the experiments are conducted to confirm the effectiveness of the proposed method.
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IEEE GCCE 2019 Excellent Student Paper Award (Silver Prize)
2019.10
Award type：Award from international society, conference, symposium, etc. Country：Japan
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Best Student Paper Award of The 2018 IAENG International Conference on Imaging Engineering
2018.9 IMECS 2018 (Intlernational MultiConference of Engineers and Computer Scientists 2018) A Study on Disease Diagnosis by Tremor Analysis
三井 優一、 石井 信之、 望月 仁志、 Thi Thi Zin
Award type：Award from international society, conference, symposium, etc. Country：Hong Kong
Tremor is a symptom in which a part of the body (hands, feet, head, etc.) trembles involuntarily. Essential tremor and cerebellar disorders are examples of diseases with tremor, but it is sometime difficult to accurately diagnose these diseases by only physical examination, and there is no indicator to quantitatively evaluate the tremor. In this study, we analyzed the Finger-Nose-Finger (FNF) test, which is a physical examination for detecting patients’ tremor, using image processing technology, and proposed an index to discriminate between essential tremor and cerebellar disorders.
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Certificate of Merit (Student) for The 2018 IAENG International Conference on Imaging Engineering
2018.9 IMECS 2018 (Intlernational MultiConference of Engineers and Computer Scientists 2018) Image Technology based Students' Feedbacks Analyzing System using Deep Learning
Cho Nilar Phyo, Thi Thi Zin, Hiroshi Kamada, Takashi Toriu
Award type：Award from international society, conference, symposium, etc. Country：Hong Kong
In these days, the integration of technology in teaching-learning process has become a central role in order to redesign a quality education system especially for the development of interactive education. In this concern, technology based analysis on the interaction between students and teacher and the feedback of the students play key roles. Thus, in this paper, we proposed the automatic students’ feedbacks analyzing system for the purpose of speeding up the communication between students and teacher in the classroom by using the image processing and deep learning technology. In the proposed system, the students can use the five kind of color cards for answering the questions or for describing their feedbacks. Then the automatic students’ feedback analyzing system will analyze the color cards objects by using the camera and describe the analyzed result to the teacher. In this way, the interaction between students and teacher can be faster and can give a lot of benefit for the education system. In order to implement this system, firstly, the color objects segmentation is performed over the input image using the predefined color thresholds. Then, the noise objects are removed by using the predefined maximum size and minimum size thresholds. Finally, the Deep Convolutional Neural Network (DCNN) is applied in order to classify the five color cards objects and non-card color objects. The experiments are performed on the image that have been taken in the large classroom under the different illumination condition. According to the experimental results, the proposed system can robustly analyze the color cards objects with the accuracy of 97.02% on the training data and 94.38% for the testing data. The proposed system can give the ubiquitous (anytime, anywhere) analyzing of the students’ feedback in the classroom.
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Certificate of Merit for The 2018 IAENG International Conference on Imaging Engineering
2018.9 IMECS 2018 (Intlernational MultiConference of Engineers and Computer Scientists 2018) Image Technology based Cow Identification System Using Deep Learning
Thi Thi Zin, Cho Nilar Phyo, Pyke Tin, Hiromitsu Hama, Ikuo Kobayashi
Award type：Award from international society, conference, symposium, etc. Country：Hong Kong
Today worldwide trending in precision dairy farming is becoming more focus on an individual cow welfare and health rather than group management by using modern technologies including image processing techniques. In such cases, individual cow identification is one of the fundamental ingredients for the success of modern dairy farming. Thus, in this paper we shall explore and examine how image processing technologies can be utilized in analyzing and identifying individual cows along with deep learning techniques. This system is mainly focus on the identification of individual cow based on the black and white pattern of the cow’s body. In our system, firstly we detect the cow’s body which have been placed on the Rotary Milking Parlour by using the inter-frame differencing and horizontal histogram based approach. Then, we crop the cow’s body region by using the predefined distance value. Finally, the cropped images are used as input data for training the deep convolutional neural network for the identification of individual cow’s pattern. The experiments are performed on the self-collected cow video dataset which have been taken at the large-scale ranch in Oita Prefecture, Japan. According the experimental result, our system got the accuracy of 86.8% for automatic cropping of cow’s body region and 97.01% for cow’s pattern identification. The result shows that our system can automatically recognize each individual cow’s pattern very well.
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Certificate of Merit for The 2018 IAENG International Conference on Imaging Engineering
2018.9 IMECS 2018 (Intlernational MultiConference of Engineers and Computer Scientists 2018) Markov Chain Techniques for Cow Behavior Analysis in Video-based Monitoring System
Thi Thi Zin, Pyke Tin, Ikuo Kobayashi, Hiromitsu Hama
Award type：Award from international society, conference, symposium, etc. Country：Hong Kong
In this paper we shall explore and examine how Markov Chain techniques of stochastic processes can be utilized to analyze cow behaviors in video-based monitoring systems. In this aspect due to shortage of human experts for monitoring the video-based monitoring system has become a powerful technique to replace for human experts. Moreover the image processing methods will play major roles in analyzing visual behaviors such as cow identification, estrus detection, prediction of calving time and body condition scoring etc. Since cow behaviors are changing with respect to times and related to immediate past, Markov Chain models will be very useful enforce the image processing techniques. Although there has been a tremendous amount of methods for detecting estrus, still it needs to improve for achieving a more accurate and practical. Thus in this paper, cow behaviors are to be analyzed by using Gamma Type Markov Chain Models. In particular, image processing methods will be performed to detect cow activities such as standing, lying and walking in association with time, space and frequencies. Then collected data are to be modeled by using Markov Chain for decision making process. As an illustration, we provide some simulation results based on gamma random number generated data.
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Best Student Paper Award
2018.8 SOLI 2018 (The 2018 IEEE Intl. Conf. on Service Operations and Logistics, and Informatics) Ranking of Influential Users Based on User-Tweet Bipartite Graph
Radia EL BACH, Thi Thi Zin
Award type：Award from international society, conference, symposium, etc. Country：Singapore
Today, even if we are still geographically situated, but real-time news and trends are able to reach us no matter how far we are or how huge is the time difference. This is due to Social Networks Services and the strong involvement of people to them through posting, sharing and interacting online with information. Therefore, we propose a study on patterns of information diffusion on Twitter during global scale events. We also introduce a method for identifying influencers and quantify popularity of Tweets on the Network based on a user-tweet bipartite graph.
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電気学会産業応用部門研究会 部門優秀論文発表賞
2018.3 一般社団法人 電気学会 産業応用部門 ホルスタインの白黒模様を用いた個体識別
高松 聖之、Thi Thi Zin、小林 郁雄
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
Generally speaking, individual identification of cows is done in many cases with ear tags or RFID (Radio Frequence Identifier). In this way, we attach it directly to the body of a cow, but they dislike being attached to cows and feel stresses, so some cow's milk and meat quality falls. In this paper, we aimed to develop a system that automatically detects individual identification by the image processing technology with the pattern of the back of a cow taken from the camera.
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宮崎大学女性研究者奨励賞
2018.2 宮崎大学 女性研究者奨励賞（地域・国際貢献部門）
Thi Thi Zin
Country：Japan
以下の地域貢献並びに国際貢献を積極的に行っています。
地域貢献：
・高齢者見守りシステムの構築
・ＩＣＴ技術を活用した牛の監視・見守りシステムの構築
国際貢献：
・宮崎大学とミャンマー国科学技術省との間で学術交流包括協定（MOU）を締結支援
・工学研究科修士課程DDP（ダブルデグリープログラム）の推進
・JST日本・アジア青少年サイエンス交流計画を活用した若手研修生の受入
・宮崎大学ヤンゴンオフィス開所や産官学交流会開催の支援 -
Excellent Paper Award
2017.11 The 11th International Conference on Genetic and Evolutionary Computing (ICGEC2017) Markov Queuing Theory Approach to Internet of Things Reliability
Thi Thi Zin, Pyke Tin, Hiromitsu Hama
Award type：Award from international society, conference, symposium, etc. Country：Taiwan, Province of China
In today world a new buzzword Internet of Things has been on the news nearly every day. Some researchers are even using Internet of Every Things. Its potentialities and applicability are now on the cutting edge technology. Also, all most all of business, health care, academic institutions are in one way or another, having to deal with the Internet of Things. So the Internet of Things reliability becomes an important factor. In this paper we proposed a Markov Queuing approach to analyze the Internet of Thing reliability. Since queuing theory investigates the delay and availability of functioning things and Markov concepts take the dependency of Things in the Internet, the combination of these two concepts will make the problem clear and soluble. For illustration, we present some experimental results.
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1st Prize IEEE GCCE 2017 Student Paper Award
2017.10
Award type：Award from international society, conference, symposium, etc. Country：Japan
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Best Paper Award
2016.11 The 10th International Conference on Genetic and Evolutionary Computing (ICGEC2016) Deep Learning Model for Integration of Clustering with Ranking in Social Networks
Thi Thi Zin, Pyke Tin, Hiromitsu Hama
Award type：Award from international society, conference, symposium, etc. Country：China
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IEEE GCCE2016 Best Paper Award
2016.10 The 5th IEEE Global Conference on Consumer Electronics(GCCE2016) User-Intent Visual Information Ranking System
Swe Nwe Nwe Htun, Thi Thi Zin, Mitsuhiro Yokota, Khin Mo Mo Tun
Award type：Award from international society, conference, symposium, etc. Country：Japan
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IEEE JC WIE Best Paper Award
2016.10 The 5th IEEE Global Conference on Consumer Electronics(GCCE2016) User-Intent Visual Information Ranking System
Swe Nwe Nwe Htun, Thi Thi Zin, Mitsuhiro Yokota, Khin Mo Mo Tun
Award type：Award from international society, conference, symposium, etc. Country：Japan
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H28年度「学生会講演奨励賞」
2016.9 一般社団法人 電子情報通信学会九州支部 画像処理による不審者検知に関する研究
石川 達也、Thi Thi Zin
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
平成28年9月28日，宮崎大学で開催された第24回電子情報通信学会九州支部 学生会講演会において，宮崎大学工学研究科工学専攻エネルギー系コース1年の石川達也氏が“画像処理による不審者検知に関する研究”と題した論文を発表しました．
本研究では、監視カメラ内に犯罪を行うかもしれないなどのような疑わしい行動をしている人物を判別することによって、犯罪の防止を行うことを目的としている。今回、移動距離、境界MDB、方向転換を用いて対象人物が不審者かどうかを判断し、良好な結果を得ている。以上より、本研究内容が評価され、“学生会講演奨励賞”を受賞しました。 -
H28年度「学生会講演奨励賞」
2016.9 一般社団法人 電子情報通信学会九州支部 A Study of the automatic detection of snatch theft by a surveillance camera
津下 大晃、Thi Thi Zin
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
平成28年9月28日，宮崎大学で開催された第24回電子情報通信学会九州支部 学生会講演会において，宮崎大学工学研究科工学専攻エネルギー系コース1年の津下大晃氏が“A Study of the automatic detection of snatch theft by a surveillance camera”と題した論文を発表しました．
本研究では、リアルタイムで監視カメラから窃盗などの疑わしい行動を検知することを目的としている。その中でも、“ひったくり”に焦点を当てて検知を行った。今回、外観特徴と移動特徴を用いてひったくりを検知することで良好な結果を得ている。以上より、本研究内容が評価され、“学生会講演奨励賞”を受賞しました。 -
Excellent Paper Award
2016.5 The Third International Conference on Computing Measurement Control and Sensor Network Action Recognition System with the Microsoft Kinect V2 using a Hidden Markov Model
Masato Fujino, Thi Thi Zin
Award type：Award from international society, conference, symposium, etc. Country：Japan
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平成28年電気学会優秀論文発表賞受賞
2016.3 一般社団法人 電気学会産業応用部門 ドライバーの携帯電話使用検知および行動認識に関する研究
鈴木隆哉、Thi Thi Zin
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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Certificate of Appreciation Award
2015.8 Ministry of Science and Technology, The Republic of Union of Myanmar
Thi Thi Zin
Award type：International academic award (Japan or overseas) Country：Myanmar
Deep Appreciations for Untiring Efforts and Contributions Towards the Advancement of Academic Collaboration between University of Miyazaki and Ministry of Science and Technology, MYANMAR
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Certificate of Merit
2013.3 The 2013 IAENG International Conference on Data Mining and Applications (IMECS 2013)
Thi Thi Zin
Award type：Award from international society, conference, symposium, etc. Country：Hong Kong
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Best Paper Award
2012.7 The 2012 International Conference of Signal and Image Engineering, World Congress on Engineering (WCE2012)
Thi Thi Zin, Pyke Tin, T. Toriu, H. Hama
Award type：Award from international society, conference, symposium, etc. Country：United Kingdom
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Best paper Award
2011.12 The 6th International Conference on Innovative Computing, Information and Control
Thi Thi Zin, Pyke Tin, T. Toriu, H. Hama
Award type：Award from international society, conference, symposium, etc. Country：Japan
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Best Paper Award
2007.9 The 2nd International Conference on Innovative Computing, Information and Control
Thi Thi Zin, H. Takahashi, H. Hama
Award type：Award from international society, conference, symposium, etc. Country：Japan