Madayaw News

1st Artificial Intelligence R&D Conference and Workshop

Written by Rene Estremera on . Posted in News

UPMin's SkAI–ALaM and ASIMOV-HAWKS, together with DOST-PCIEERD, will conduct the 1st Artificial Intelligence Research and Development Conference and Workshop on 14-15 March 2023 at Acacia Hotel, Davao City. The Department of Science and Technology through its Innovation Council, and the Philippine Council on Industry, Energy and Emerging Technology (DOST-PCIEERD) organized the event, which is on its inaugural run. Headed by Executive Director Dr. Enrico “Eric” C. Paringit, the conference seeks “to raise public awareness of the benefits and potential uses of artificial intelligence and robotics in addressing urgent national issues.”

Images from the Conference: Chancellor Lyre Anni Murao gives Welcome Remarks; Chancellor Murao and Prof. Jose Ildefonso Rubrico joins plenary speakers; Proif. Rubrico speaks at press conference; Prof. Rubrico presents SkAI-ALAM; Porf. Rubrico presents ASIMOV-HAWKS;  Asst. Prof. Vladimer Kobayashi presents his Marine Litter research.     

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Read articles on the conference here: 

DOST-PCIEERD 

https://pcieerd.dost.gov.ph/news/latest-news/514-dost-up-mindanao-hosts-ph-s-1st-ai-r-d-conference

https://www.sunstar.com.ph/article/1956080/davao/local-news/up-min-prof-develops-ai-tech-to-help-farmers

https://www.sunstar.com.ph/article/1956297/davao/business/experts-ph-has-potential-to-be-ai-data-center

https://edgedavao.net/latest-news/2023/03/17/upmin-positioning-as-ai-hub-in-the-region/

https://www.sunstar.com.ph/article/1956297/davao/business/experts-ph-has-potential-to-be-ai-data-center

Rabies Research Team awarded in Pasidungog 2023: Garbo sa Dabaw

Written by Rene Estremera on . Posted in News

IMG 2416resiz33The University of the Philippines Mindanao (UPMin) 's Rabies Research team was an awardee in Pasidungog 2023: Garbo sa Dabaw, an 86th Araw ng Dabaw event. UPMin Chancellor and Professor of Virology Lyre Anni E. Murao received the award on behalf of the Team in ceremonies held on March 8, 2023, at Acacia Hotel in Davao City. "The City Government of Davao acknowledges your relentless support in the initiatives and programs of the local government in 2022, enabling the city to achieve economic sustainability," stated City Mayor Sebastian Z. Duterte in the award.

Dr. Cerelyn B. Pinili of the City Veterinarian's Office (CVO) nominated the UPMin Team for contributing to the CVO's efforts in 2022. The nomination cited the UPMin Team's "continuing rabies research, delivery of training for CVO personnel, the policy recommendations contributing to the city ordinance on responsible pet ownership, and the RabCast Rabies Dashboard that helped in the planning and implementing the CVO's rabies control interventions."

The UPMin rabies research started in 2018 with the Synoptic Study on Transmission and Optimal Control to Prevent (STOP) Rabies. This research program, led by Professor Murao, brought together experts from the fields of biomathematics, economics, human health science, and veterinary medicine to do research for a rabies-free Philippines, with Davao City as a case study. It was funded by the Commission on Higher Education's Discovery Applied Research and Extension for Trans/Interdisciplinary Opportunities (CHED DARE TO). In addition, UPMin collaborated with the CVO, Davao Medical School Foundation, Inc., Davao City Health Office, and participating NGOs. The STOP Rabies program produced policy recommendations to support the LGU's actions in preventing rabies spread and minimizing human rabies incidence and information, education, and communication (IEC) materials for the CVO campaigns.

Our Daily Fish: Fisheries in the Philippines

Written by Rene Estremera on . Posted in News

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 Students, partner institutions, and government organizations from Mindanao attended Our Daily Fish': Fisheries in the Philippines—Past, Present, and Future,on 24 February 2023, at the UP Mindanao CARIM Building. The event is one of a series of Kape-Talks organized by the UP Mindanao Office of Research in partnership with the Coral Reef Resiliency and Ecology Studies (CRREST) to continue regional efforts to expand knowledge transfer and acquire new information through cooperative research projects.

 

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The discussion was led (in the above photo, left-right) by Prof. Cleto L. Nañola Jr. of the University of the Philippines Mindanao, Prof. Kent E. Carpenter of the Old Dominion University, with Dr. Mudjekeewis Santos of the National Fisheries Research and Development Institute, and Prof. Richard Muallil (not in photo) of the Mindanao State University Tawi-TawiDr. Santos, in his talk, discussed the importance of having more research about fish biodiversity in establishing better protocols.

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The discussion was followed by the soft launch of “Data Collection and Analyses for Reef Fish Biology,” a book edited by Dr. Cleto L. Nanola Jr. and Maybelle Fortaleza, which hopes to guide independent researchers in their own academic ventures. 

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Later in the event was the ceremonial signing of the Memorandum of Agreement for Educational and Scientific Cooperation between UP Mindanao and Davao del Norte State College. The partnered institutions, through the MOA, aim to implement the Applied Biodiversity Research for Holistic Advancements in Mindanao (ABRAHAM). The said program aims to develop an information and database system for Fish Morphology and DNA information about the Marine Fisheries in the Davao Region. This program also aims to create an open-access information system that will house and feature marine life information of studied organisms by local experts through the Marine Biodiversity Database (MaBiDa) Project.

By James Edward Pangan

Vegetable Juice Beverage, 2023

Written by Rene Estremera on . Posted in News

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The Technology Transfer & Business Development Office (TTBDO) hosted a demonstration on February 6, 2023, by Ms. Diane Rose G. Castillon (in photo below) and Dr. Dann Marie N. Del Mundo (Dept. of Food Science & Chemistry) for a technology developed for a juice beverage (not from concentrate) with the use of nutritious vegetables that are locally available in the Philippines. According to the demonstrators, this juice product could offer a more affordable option with the same benefit as that of juice blends in the market, making it more acceptable to the local market. 
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"We are excited by the possibilities that this research could bring," said TTBDO head Lynda Buenobra. At the conclusion of the demonstration, the team identified several opportunities to further improve the quality of the product. "We aim that this research will be successful in delivering a more accessible and nutritious beverage option to the local market," said Prof. Del Mundo.

Publication: Combining Image Enhancement Techniques

Written by Rene Estremera on . Posted in News

Combining Image Enhancement Techniques and Deep Learning for Shallow Water Benthic Marine Litter Detection
 
 

Authors: Gil Emmanuel Bancud, Alex John Labanon, Neil Angelo Abreo & Vladimer Kobayashi
Conference paper
First Online: 31 January 2023
Part of the Communications in Computer and Information Science book series (CCIS,volume 1752)

Abstract


The scarcity of information about benthic marine litter especially in developing countries hampers the implementation of targeted actions to minimize the extent of its impacts. This study developed a system using image processing and deep learning methods for detecting/tracking marine macro litter that can efficiently identify and quantify its amount in benthic environments in shallow coastal areas. Shallow underwater litter detection poses several challenges. First is the low quality of images. Second is the difficulty in recognizing litter brought by their varying visual characteristics. Third is the lack of available data for training. Underwater images of litter were collected from marine litter hotspots in coastal areas in southern Philippines. This study experimented with various object detection algorithms. The best object detection model is then paired with various image enhancement techniques to determine the optimal combination. Among the combinations that were tested, YOLOv5n combined with CLAHE gave the best performance for simple binary task (litter or not litter) with a mAP@0.5 of 0.704. Furthermore, the results showed that applying underwater image enhancement techniques provides noticeable improvement for object detection models on detecting marine litter.

Keywords: Yolov5, Image enhancement, Marine litter, Object detection

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