66 research outputs found

    LOBYARD Sdn Bhd / Muhammad Faris Danial Mohamad Fauzi

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    LOBYARD SDN BHD offers the best Lobster that are produce from the backyard of our for house to the customer, we providing the high quality, fresh, clean, pure and Halal Lobster which can give satisfaction towards the consumer. We produce a Healthy and safe product which can fulfill the wants of the consumer. This business is based on partnership with four (4) leaders holding crucial position in the organization, along with Mr Muhammad Faris Danial Bin Mohamad Fauzi as the General Manager, Mr Afnan Hasuna Bin Mohamad Hanafi as the Marketing Manager, Mr Muhammad Arif Akmal Bin Mohamad Haris as the Operational Manager, Mr MuhammadAmir Hadi Bin Abdul Rahim as the Financial Manager and Ms Nabilah Iman Binti Mohd Roslan as the Administrative Manager. The main objective of this company are to give a solution to the issue related to the other company that use non-halal substance to produce lobster, we will make sure that our company will consistently producing and providing Halal Fresh Lobster product to make sure the consumer safety is secured from any dangerous, hazardous and harmful substance and also to fulfill their wants. So to meet the consumer fulfillment, we will be operating and producing the product that can satisfy the taste and desire required of consumer competently and inconsistently. We are also want to give the best and high quality product so we are able to gain their trust and loyalty

    Heart rate monitor / Muhammad Noor Aiman Ghazak, Muhmmad Faris Sapuri and Muhammad Hadri Roslan

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    Elderly people easily get tired when standing for a long time or even in a short time. For example, the distance to the hospital is far and that could affect the elderly’s health while driving to the hospital just to get heart rate check. Usually, the clinic or hospital will be crowded with other patients and have to wait for turn. As the time goes, maybe the elderly feel weaker and fatigue and even worse, collapse while waiting. So, elderly need to check to get heart rate check all the time. The elderly need an equipment that can be carry anywhere and also easy to lift. Elderly need to get heart rate check frequently from time to time. By having this heart rate monitor, elderly don’t have to waste time to go to hospital or clinic just to get heart rate check. It’s a very convenient equipment suitable for all ages especially for elderly

    Fruit handling and ergonomic practices in fruit industry / Muhammad Imran Roslan, Azeerul Zharif Sarip and Muhammad Faris Mohd Nor

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    Malaysia is a major producer of tropical fruits such as durian, mango, pineapple, banana, and papaya. The fruit industry is important to Malaysia's economy, with many farmers and businesses involved in production and export. Malaysia produces high-quality fruit that is in demand globally. Proper fruit harvesting and handling techniques are important for preserving the quality of the fruit. Back pain is common among agricultural workers due to the physical demands of the work. Factors that can contribute to back pain include heavy lifting, repetitive movements, and poor ergonomics. Agricultural workers can use proper lifting techniques and ergonomic equipment to help prevent back pain

    Internet of things (IoT)-based solution for real-time monitoring system in high jump sport

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    Samsung, Fitbit and Sony are advanced companies that have produced various wearable devices for years,especially in sports technology for the needs of athletes. The high-tech developments within the Internet of things (IoTs) have also given athletes and coaches a smart way to develop the way the athlete trainsand playswhich will contribute towardseconomic benefit. However, the high jump sport monitoring system still use high-speedcamera which is non-economical to the athlete and coaches. Besides, the camera itself needstechnical expertise to setup the devices and the results arehard to understand and not in real-timebasis. Therefore, the aim of this paper is to develop an IoT-based solution for real-time monitoring system in high jump sport. The OpenHAB mobile application (app) iscreated to communicate betweenthewearable device and the server. This mobile app helpstheathlete to monitor their performances in the smartphone through IoT-based solution rather than using the costly high-speed camera. The outcomes have shownpromising results since all data are ableto bevisualiseand monitorin real-time, history of the training can be retrieved via the log files and the benchmark data acts as a guide to the intermediate athlete to improve the performance

    Wearable devices components for high jump sport: An overview.

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    Wearable devices like FitBit, Garmin and Amazfit smartwatch have become popular in recent years. Athlete like swimmers and runners mostly use smartwatch to track speed of the swim or run using embedded global positioning system (GPS) sensor in the wearable devices. Unfortunately, high jump sports still on the old style in tracking the movement of the jump by using vision system. Thus, this paper presents an overview on related work, existing methods and developments on the area of wearable sensor for high jump sports. The analysis of high jump sports related works in terms of main injury and parameters to prevent the injury are being analysed. The used of biosensors in recent wearable devices has been also reviewed in term of the types and issues of sensor that need to implement in the wearable device. Other than that, the processing methods that contains Internet of Thing (IoT) gateway device, network transmission and real-time monitoring system (RtMS) are proposed to develop a complete wearable device. Finally, the main injury parameters of the high jump sports and sensors related to the parameter has been reviewed and an overall idea of processing method RtMS has been summarised

    IOT-based solution towards real-time monitoring system for high jump spot

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    In high jump sport, approach speed is one (1) of the important parameters to maintain the speed as well as to gain good momentum at the ankle during the take-off. The good approach speed can prevent injury at the ankle for the athlete. Today, high jump athletes still use high-speed camera to guide them in training by capturing all of the athletes’ movements. This is because, there is no wearable device that can monitor the athlete performance during the training in real-time. Thus, the aim of this study is to develop a wearable Internet of things (IoTs) device that measures the speed during the approach speed and force during the take-off to help athletes to improve the performances and prevent injury at the ankle during take-off. This IoT device has implemented real-time monitoring systems (RtMS) that used IoTs as a connectivity which includes input, process and output. The input consists of global positioning system (GPS) sensor attached to the waist and force sensors placed at the bottom of the ankle as a wireless input for data capturing. These data is then being processed by microcontroller units (MCUs) with an embedded Wi-Fi module on the same chip that has been programmed and the results obtained are displayed on the mobile application (app). Other than that, there is a vibrator motor placed near the GPS sensor which acts as an actuator output that will vibrate according to the speed setting of the athletes. Apart from that, the latency and throughput of the two (2) different MCUs were also measured and compared to investigate the network transmission issues during the sport event. The ESP8266 MCU has been selected as the result shows that it has high throughput, low latency and small in terms of size compared to Arduino Yun Mini MCU. This system shows a significant result when intermediate athletes tested the devices with and without using the alarm system. Hence, it is shown that the implementation of wearable devices that monitored speed and force parameter helps to improve the performance of the athlete by following professional benchmark data

    Internet of Things (IoT)-based Solution for Real-time Monitoring System in High Jump Sport

    Get PDF
    Samsung, Fitbit and Sony are advanced companies that have produced various wearable devices for years especially for sports technology for the needs of athletes. The high-tech developments within the Internet of things (IoTs) also have given athletes and coaches a smart way to develop the way the athlete training and play that give us economic benefit. However, recent year the high jump sport monitoring system still used high-speed camera which is non-economical to the athlete and coaches. Besides, the camera itself need technical expertise to setup the devices and the results is hard to understand and not in real-time. Therefore, the aims of this paper is to develop IoT-based solution for real-time monitoring system in high jump sport. Hence, the OpenHAB mobile application (app) was created to communicate between wearable device and server. This mobile app helps athlete to monitor their performances in the smartphone through IoT-based solution rather than using costly gears similar to high-speed camera. The outcomes achieved have revealed promising results since all data can be visualised and monitored in real-time, history of the training can be retrieved via the logs files and the benchmark data acts as a guide to the intermediate athlete to improve the performance

    Modelling of Supercritical Carbon Dioxide Extraction of Oil from Oilseeds

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    This study is aimed to learn the underlying behaviour of the Supercritical Carbon Dioxide (C02) Extraction on the oilseeds or any solid without chemical reaction. CFD model will be developed to better understand the mass transfer phenomenon and complex flow field around a single particle in porous medium. Wide range of species has been explored such as wheat germ, oats, tomato, grape seed and soybean. Despite the relatively large number of species processed, only some models of the SFE of oil seed have been published. CFD numerically solves the Navier-Stokes equations and the energy and species balances. Some important variables in extraction process such as solvents flow rate and solid particle length will be modeled. Volume of Fluid (VOF) method will be used to predict the mentioned fields in a 2D geometry. This project focus is to model the the concentration profile of oil under Supercritical Carbon Dioxide Extraction condition via CFD. In the end, it will predict extract yields as a function of flow rate and particle diameter. Thus, determine the most optimum operating conditions and improve the efficiency of the extraction process. Experimental result referred is to validate the proposed model
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