logo
Rubbish likely drifts in from upriver towns, says expert

Rubbish likely drifts in from upriver towns, says expert

KUALA MUDA: A key contributor to the pollution of Pantai Tanjung Dawai is garbage and debris from rivers in the northern part of the state, said a marine and coastal studies expert.
Universiti Sains Malaysia's (USM) Professor Datuk Dr Aileen Tan said rubbish washing ashore on the beach likely flowed from upriver towns into the sea via Sungai Merbok before tidal currents brought it back inland.
"There is no definitive study on Pantai Tanjung Dawai, but the composition of the rubbish from images shared by residents suggests it is most likely domestic waste from upstream," she told the New Straits Times.
"The tidal behaviour suggests it drifts in from upstream towns."
Tan, who is USM's Centre for Marine and Coastal Studies director, said without a control mechanism upstream, clean-up efforts at the beach will remain short-lived.
She proposed installing rubbish barriers near the river mouth of Sungai Merbok and filtration traps in stormwater systems in towns to tackle the issue at the source.
"A 1994 study on the Merbok estuary found that tides in shallow nearshore zones reverse earlier than deeper waters, pushing debris towards the shore, where it gets trapped."
She added that fostering community-led monitoring and integrating coastal waste awareness into local policy would also be critical for long-term change.
Universiti Utara Malaysia maritime affairs expert Associate Professor Dr Zaki Ahmad said the beach's location near the Sungai Merbok mouth makes it a natural catchment for marine debris.
"The rubbish in Pantai Tanjung Dawai can be attributed to its geography. It lies at a river mouth, while Pantai Merdeka is sheltered within an enclosed bay," he said.
"Prevailing ocean currents and wind direction carry floating debris towards Pantai Tanjung Dawai. The shoreline's shape and tidal patterns further contribute to the accumulation."
Zaki said Pantai Merdeka remains cleaner because it is less exposed to these direct currents.
"There's also a possibility that the rubbish could have originated from other settlements or towns along the river, such as Sungai Petani or Alor Star."
Yusrizal Yusoff, president of the Consumers Association of Kedah, expressed concern about the situation as it reflected a deeper issue with consumer behaviour.
"Malaysian's attitude to waste disposal is very disappointing. Much of the waste, particularly plastic, ends up polluting the environment.
"We cannot rely solely on the authorities or cleaners to handle this. It is everyone's responsibility to manage their waste."

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

QuickCheck: Can you find glow-in-the-dark mushrooms in Malaysia's rainforests?
QuickCheck: Can you find glow-in-the-dark mushrooms in Malaysia's rainforests?

The Star

time25 minutes ago

  • The Star

QuickCheck: Can you find glow-in-the-dark mushrooms in Malaysia's rainforests?

The allure of nature's wonders often leads to tales that sound almost magical. One such tale speaks of bioluminescent mushrooms that light up the night in Malaysia's rainforests. Is it true that these glow-in-the-dark fungi can be found in Malaysia? Verdict: TRUE Glow-in-the-dark mushrooms, scientifically known as bioluminescent fungi, indeed exist in Malaysia's rainforests. Among these, the genus Mycena, particularly Mycena chlorophos, is notable for its enchanting glow. These mushrooms emit a natural light due to a chemical reaction involving luciferin, an organic compound, and the enzyme luciferase. When luciferin interacts with oxygen in the presence of luciferase, it produces light, creating the captivating glow. In Malaysia, these luminescent mushrooms are typically found in the dense rainforests of Borneo, which includes parts of Sabah and Sarawak. These regions provide the ideal humid and moist conditions that these fungi thrive in. Additionally, areas in Peninsular Malaysia such as the Taman Negara National Park offer suitable environments for these mushrooms to grow. Indeed, a 2014 study found these mushrooms growing – and glowing – in at least four places; Ulu Gombak and Sungai Congkak in Selangor, Kuala Koh in Kelantan and in Hutan Simpan Kenaboi in Negri Sembilan. As for the glow itself, it is usually a soft greenish hue, visible along the forest floor or on decaying wood, creating an ethereal experience for nighttime explorers. The presence of bioluminescent mushrooms in Malaysia is not just a visual spectacle but also serves ecological purposes, and this glow attracts insects, which help in spore dispersal, aiding in the mushrooms' reproduction process. This natural phenomenon underscores the intricate relationships within the rainforest ecosystem. For those interested in experiencing this natural wonder, guided night walks in certain Malaysian national parks and forest reserves might offer the opportunity to see these glowing fungi in their natural habitat. However, their presence can be unpredictable, as it depends on environmental conditions like humidity and temperature. In conclusion, Malaysia's rainforests are indeed home to glow-in-the-dark mushrooms like Mycena chlorophos, adding another layer of mystery and beauty to the country's rich biodiversity. So, whether you're a nature enthusiast or simply curious, the chance to see these bioluminescent mushrooms is a testament to the wonders of the natural world. SOURCES:

Using AI to track hornbills in Malaysian jungles
Using AI to track hornbills in Malaysian jungles

The Star

timea day ago

  • The Star

Using AI to track hornbills in Malaysian jungles

FOR years, lecturer Dr Mehran Behjati and his wife would spend their weekends outdoors, taking to the bike trails and cycling into the remote areas and villages of Selangor, and even as far as Bukit Tinggi in Pahang, some 70km away from the Klang Valley. Armed with binoculars, they would keep a lookout for birds, particularly hornbills. 'For us, the hornbill is one of the most majestic birds we have ever seen. Every time I see this majestic bird in its environment, I'm fascinated. I'm excited to see them,' Behjati says during a recent interview at his office in Sunway University's Faculty of Engineering and Technology. Behjati, an enthusiastic birdwatcher, also knows that these magnificent creatures, like much of the wildlife in Malaysia, are increasingly losing their habitat due to deforestation and other factors. 'So I think, yeah, why not? We use technology to protect these animals. Most of the time, researchers are developing systems to help humans but not many researchers think about other species,' he says. With that in mind, Behjati has come up with a way to help not just his favourite hornbills but also other wildlife species. Using his knowledge of tiny machine learning (TinyML) and edge computing – which brings computing power closer to where the data is generated – he has put together a cost-effective, sustainable device to monitor these birds' presence in the dense Malaysian jungle. This is done by first recording their calls and then identifying the species by comparing those sounds against a database. Anyone who has hiked through our jungles will understand the challenges faced by wildlife researchers trying to identify calls amid the din of the forest, or even spotting a bird, what more with wildlife like hornbills which are shy and occupy the more dense areas of the jungle. The land of hornbills There are 10 species of the birds in Peninsular Malaysia, and eight in Sabah and Sarawak. Although globally there are 57 species of hornbills, Peninsular Malaysia is considered to be a stronghold for Asian hornbill species, trailing only behind Thailand and Indonesia, both of which have 13 species. At some sites, such as the Greater Ulu Muda Forest Complex in Kedah and the Belum-Temengor Forest Complex in Perak, all 10 hornbill species can be found in one spot. The Malaysian species includes the great hornbill, the rhinoceros hornbill, and the rare, frumpy-looking helmeted hornbill, valued by poachers for its heavy casque known as 'red ivory'. Dubbed 'farmers of the forest', hornbills play an important role in dispersing seeds, which is crucial for plant diversity. A study of Asian and New Guinean hornbills by the National University of Singapore in 2024 strongly suggests that large seeds are highly dependent on hornbills for their dispersal. However, deforestation from development has massively impacted the local hornbill population. Besides being ousted from their habitat, many hornbill species need tree cavities in which to nest and raise their young – and trees are disappearing. Behjati, who has worked on various environmental monitoring and protection projects in Malaysia over the past decade – including one at Tasik Chini, Pahang – knows how challenging things can get for researchers. 'In Malaysia's dense rainforests, traditional environmental and wildlife monitoring methods – like manual surveys, remote camera traps, or conventional wireless sensor networks – often fall short. 'These approaches can be expensive, labour-intensive, invasive, and impractical in remote and hard to reach areas,' he points out. But thanks to recent innovations in embedded systems, artificial intelligence (AI), and advanced wireless technologies like 5G and 6G, we now have the essential tools to build low-power, autonomous, and sustainable devices that can 'listen' or 'see' without disturbing or intruding on the environment. 'These intelligent systems can detect animal behaviours, track ecological changes, and deliver real-time insights to researchers – all with minimal human intervention. 'This will empower ecologists, conservationists, and policymakers to make faster, more informed decisions to safeguard endangered ecosystems.' Smart networks Originally from Iran, Behjati has been based in Malaysia for 15 years, lecturing at Sunway with expertise in, among others, wireless communications, nonterrestrial networks, Internet of Things (IoT), edge intelligence, and TinyML. Behjati focuses his research on designing intelligent systems for real-world applications, particularly in the areas of environmental monitoring, smart cities, and digital inclusion. He explains that while most Malaysians would know AI by the popular large language models like ChatGPT, Deepseek, and Gemini that can generate text or images or answer questions, these cannot be applied to real world conservation efforts. 'Why not? Because they are power hungry. They are a centralised system, they rely on Internet connectivity,' he says. While such AI models can be used to implement, say, an air quality monitoring system in Kuala Lumpur where there's telecommunication infrastructure to transmit data captured by sensors to a centralised machine learning system, this is not possible in remote areas where there's no data network or even electricity. The other limitation, says Behjati, is that centralised AI is power hungry, consuming a huge amount of energy to maintain algorithms. 'When it comes to implementing these devices in remote areas, then we need to provide a power source as well. This is very challenging. 'So these limitations are the main reasons that we can't use AI to support conservation efforts,' he says. Behjati with part of the device that will help monitor hornbills in Malaysia's dense, difficult to penetrate jungles. — ONG SOON HIN/The Star But with TinyML, according to Behjati, there's actually a paradigm shift, as it allows AI models to be run directly on ultra small microcontrollers – devices no bigger than a matchbox. Hence the term tiny machine learning. Microcontrollers are small computers on a single integrated circuit chip that are designed for specific tasks. Examples of microcontrollers are the Arduino Nano 33 BLE, which can cost anywhere between RM115 and RM140, a tiny fraction of the cost of a Nvidia AI chip. For Behjati, the hornbill conservation project began with the collection of real-world audio samples of hornbill calls from open source bird sound archives like Xeno-Canto. These recordings were then digitally cleaned up and processed to extract distinct acoustic features using a method called mel-frequency energy, which effectively captures an acoustic 'fingerprint' of each bird's call. 'Next, we trained a lightweight yet powerful AI model – a 1D Convolutional Neural Network – to recognise and classify the calls of five hornbill species: the Oriental pied hornbill, black hornbill, white-crowned hornbill, rhinoceros hornbill, and bushy-crested hornbill. 'After compressing and optimising the model, we deployed it onto the Arduino Nano, a low-power microcontroller equipped with an onboard microphone,' Behjati explains. By bringing intelligence to the 'edge', where data is collected, the system can function independently, detecting, classifying, and recording wildlife activity in real time, without the need for Internet access or external servers. Once installed in the field, the device continuously listens to its surroundings and identifies hornbill calls in real time, without relying on Internet connectivity or cloud processing. Behjati has detailed the research in a paper titled 'Edge Intelligence for Wildlife Conservation: Real-Time Hornbill Call Classification Using TinyML', co-authored with fellow Sunway University researcher Kong Ka Hing, and published in April; it is accessible via the open access repository arXiv, as well as Behjati's blog. Proof of concept Ultimately, Behjati believes that the system he developed is not limited to saving any particular wildlife and can be applied to broader realms of ecological conservation. The first phase of the project, the proof of concept which corresponds to universal Technology Readiness Level 4, has already been successfully completed. In this phase, the system was successfully tested under simulated forest conditions, confirming its technical feasibility and reliability. 'We are now preparing for broader field deployments in collaboration with local conservation groups and ecologists,' he says, adding that they are especially keen to partner with biodiversity researchers and NGOs that are actively involved in hornbill conservation to scale up the initiative. 'Our long-term goal is to establish a network of these intelligent listening nodes across protected forest areas, enabling continuous, real-time monitoring of hornbill activity. 'By developing a solution that is low-cost, energy-efficient, and open to collaboration, we aim to complement and amplify the important work already being done by Malaysia's environmental community, particularly in biodiversity hotspots such as Taman Negara, Bukit Tinggi [in Pahang], and Sabah and Sarawak, where hornbill habitats face increasing threats,' says Behjati. It's about time that smart technology in the field of conservation in Malaysia takes flight.

Malaysia, UAE enhance cooperation in talent mobility, workforce upskilling and AI readiness
Malaysia, UAE enhance cooperation in talent mobility, workforce upskilling and AI readiness

The Sun

time3 days ago

  • The Sun

Malaysia, UAE enhance cooperation in talent mobility, workforce upskilling and AI readiness

PUTRAJAYA: Malaysia and the United Arab Emirates (UAE) have agreed to enhance bilateral cooperation in areas of talent mobility, workforce upskilling, and artificial intelligence (AI) readiness in response to the rapid evolution of global technology and labour markets. The Ministry of Human Resources (KESUMA) said the agreement was reached during an official meeting between Malaysia's Minister of Human Resources Steven Sim Chee Keong and UAE Minister of Human Resources and Emiratisation, Dr Abdulrahman Abdulmannan Al Awar, in Dubai. 'This meeting marks a pivotal step in strengthening future-oriented strategies and partnerships focused on digital labour policies, labour migration, and education transformation,' the ministry said in a statement today. It said the UAE, currently ranked third in the world for AI talent readiness, also shared insights on its successful integration of AI across key sectors such as finance, biotechnology, and public services. 'The UAE minister also emphasised the need for agile education systems and adaptable workforces to address the impact of AI on both manual labour and professional sectors,' it said. KESUMA said Malaysia acknowledged the UAE's leadership in this area and reaffirmed its commitment to preparing its workforce for the AI era. The ministry also highlighted the 2024 TalentCorp study on the Impact of AI, Digitalisation, and the Green Economy on Employment, which identified 10 high-risk sectors likely to face job displacement or transformation. 'This study now serves as the foundation for Malaysia's national strategy on workforce reskilling and upskilling to ensure readiness for a rapidly evolving job landscape,' the ministry said. As a gesture of international collaboration, the UAE has invited Sim to attend the Abu Dhabi Dialogue in February 2026, which will focus on ethical migration, workers' rights, and cross-border policy alignment. Malaysia and the UAE have enjoyed diplomatic relations since 1983, built on shared values and strong economic cooperation. The UAE is Malaysia's second-largest trading partner in the Middle East and hosts a significant Malaysian expatriate community, 13 per cent of whom hold the UAE Golden Visa.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store