DEVELOPEMENT OF WIRELESS SENSOR NETWORK FOR LANDSLIDE EARLY WARNING SYSTEM

Landslide is a massive catastrophe occurring all around the world and causing thousand of fatalities throughout the year. It is also ranked as second disaster in the level of destructiveness. The awareness on landslide issue has rise since 1960s, somehow there are still lack of technology developed to mitigate the risk of landslide occurrence. The existed technologies produced are highly sophisticated plus expensive. The campaign introduce by the local authority also did not enough to enhance awareness to prepare, and to reduce the impact of landslide. To solve this, this project will develop a wireless network system (WSN) for landslide early warning system which will alert the possibilities of landslide occurrence for further action and mitigation. Several sensors will be chosen to measure monitor the significant factors which possibly induce landslide. The effectiveness and robustness of the system will also be evaluated throughout the project via slope model and data acquisition in Moteview software

DEVELOPEMENT OF WIRELESS SENSOR NETWORK FOR LANDSLIDE EARLY WARNING SYSTEM

Landslide is a massive catastrophe occurring all around the world and causing thousand of fatalities throughout the year. It is also ranked as second disaster in the level of destructiveness. The awareness on landslide issue has rise since 1960s, somehow there are still lack of technology developed to mitigate the risk of landslide occurrence. The existed technologies produced are highly sophisticated plus expensive. The campaign introduce by the local authority also did not enough to enhance awareness to prepare, and to reduce the impact of landslide. To solve this, this project will develop a wireless network system (WSN) for landslide early warning system which will alert the possibilities of landslide occurrence for further action and mitigation. Several sensors will be chosen to measure monitor the significant factors which possibly induce landslide. The effectiveness and robustness of the system will also be evaluated throughout the project via slope model and data acquisition in Moteview software

Tool And Task Design Challenges For Left Handers: A Brief Review

Left-handed users are often overlooked by equipment and hand tool designers. Designers may assume that left handers will eventually learn to adapt themselves in a right-handed environment. However in reality left handers face a lot of difficulties when trying to perform tasks meant for right-handed users. Medical personnel are most affected by this issue, followed by workers in non-medical field such as services and manufacturing. This review aims to highlight the issues faced left handers by analysing common household product examples as well as hand tools in occupational settings. Discussions are centred on the differences between the right-handed tools versus left-handed tools, as well as task/procedural challenges faced by left handers. In summary, the notion of designing an ambidextrous tool may not be a realistic recommendation for tool manufacturers and designers

Design Of An Internet Of Things Based Electromagnetic Robotic Arm For Pick And Place Applications

In this generation, industrial robotic arm has been widely used in fields separated from the human society. It is limited because it is not possible to manipulate and interact with people. To depict robotics technology with human-machine interaction and wireless communication, interactivity is possible in real time with virtual objects that makes some other technology needs to be developed which maximizes robot use to assist people with their work in an efficient way. The main objective of this project is to develop and design an interface of Internet of Things controller for robotic arm. The main purpose of making this interface is to remotely control the robotic arm using internet facilities. The robotic arm has four servo motor where all servo motor are assigned with single pulse width modulation which can be control separately. Furthermore, the NodeMCU board was used to receive signal from the Blynk app that authorizes monitoring and controlling the movement of the robotic arm to perform pick and place operations. Meanwhile, the results of this study are verified through manual test implementation. Two type of manual test were done for this project that is pick and place application and time delay to send the data. The pick and place operation of the robotic arm was observed to see whether the robotic arm capable to conduct the instruction precisely to move within their desired angular displacement degree. The time delay to send the data shows that the respond at each of the servo motor to move 180 degrees with no load was influenced by the Wi-Fi signal strength at particular places. Hence, this prototype of the robotic arm showed that the operational to control the robotic arm to perform pick and place application using internet facilities was successful

Effects of in situ habitat quality and landscape characteristics in the oil palm agricultural matrix on tropical understory birds, fruit bats and butterflies

The expansion of commercial oil palm crop has modified much of the natural landscape, subsequently leading to biodiversity loss in Southeast Asia. Aside from large-scale oil palm monoculture plantations, self-managed oil palm smallholdings are also becoming common in palm oil producing countries, but less is known about how management of the smallholdings affects faunal biodiversity. We argue that it is critically important to understand the role of habitat complexity at the local and landscape scales for maintaining faunal biodiversity in oil palm smallholdings. We used passive sampling methods to survey understory birds, fruit bats, and butterflies in oil palm smallholdings on the west coast of Peninsular Malaysia. We quantified the diversity in each taxon and measured in situ habitat quality and landscape metrics. We found that oil palm smallholdings located near rice fields supported fewer bird species. Proximity to roads can give rise to bird and fruit bat richness. Bird and fruit bat richness declined at sites with high crop density. Fruit bat richness declined, but butterfly richness increased, with the height of oil palm stands. Butterfly richness declined with distance from riparian habitats. Decreased coverage and height of ground vegetation also negatively affected butterfly species richness. We also found that the number of farm houses is positively related to bird, fruit bat, and butterfly species richness. Of the three taxa, only butterfly richness was positively influenced by crop diversity. We found that habitat complexity enables smallholdings to support a diverse community of birds and butterflies, but not fruit bats. These findings imply that oil palm smallholdings can be managed in a conservation agricultural matrix, as the smallholdings were able to maintain farmland biodiversity