Nik Mohd Zarifie Hashim

Best Paper Award 4th International Conference on Telecommunication, Electronic And Computer Engineering (ICTEC) 2022 Nov 2022 Paper title : A Study on Differences Between Position and Direction for Homograph Words in Kelantan Malay Dialect via a Smart Word RecognitionAbstract : A homograph is a word with the exact spelling of another but has a different sound and meaning. For example, "perang" in Malay refers to the colour name and war. However, this could still be distinguished based on the two types of /e/ vowel in the Malay language, which reflected a significant difference in its pronunciation among the… Show more Paper title : A Study on Differences Between Position and Direction for Homograph Words in Kelantan Malay Dialect via a Smart Word RecognitionAbstract : A homograph is a word with the exact spelling of another but has a different sound and meaning. For example, "perang" in Malay refers to the colour name and war. However, this could still be distinguished based on the two types of /e/ vowel in the Malay language, which reflected a significant difference in its pronunciation among the Malay speaker. Moreover, in the Malay language, if we go to the northeast of peninsular Malaysia, where in Kelantan, there are homograph words in the Kelantan Malay dialect which reflect a word with a dedicated position and direction words in daily speaking. Differentiating these two is a difficult task for an automatic system to determine the purpose of the selected word. To do this with a systematic and reliable result of differentiating the two, we propose intelligent word recognition via deep learning in this paper. The proposed network method is ideal for training and validating word recognition accuracy by utilizing a new proposed dataset from male and female sample sounds. The proposed project's result presents an intelligent application of the Convolution Neural Network for Kelantan Malay dialect recognition with good performance accuracy. With a simple setting, an epoch of 10 and a batch size of 6, the average accuracy was 81.20 %. Show less

Bronze Award The International Borneo Innovation, Exhibition & Competition (IBIEC) 2022 Oct 2022 Project Title : Grey Oyster Mushroom Grading System (GO-MUSH)Abstract : Grey oyster mushroom is widely cultivated and consumed as supplementary food in Malaysia. Ensuring this grey oyster mushroom has a good quality when reaching the consumer, a grading involves inspecting and sorting various mushrooms regarding quality, freshness, legal conformity, and market value is a must. The typical grading is often done manually, and the mushroom is assessed and sorted. Here, grading mushrooms… Show more Project Title : Grey Oyster Mushroom Grading System (GO-MUSH)Abstract : Grey oyster mushroom is widely cultivated and consumed as supplementary food in Malaysia. Ensuring this grey oyster mushroom has a good quality when reaching the consumer, a grading involves inspecting and sorting various mushrooms regarding quality, freshness, legal conformity, and market value is a must. The typical grading is often done manually, and the mushroom is assessed and sorted. Here, grading mushrooms after harvesting is an essential step in post-harvest management. This grading of mushrooms also can be done based on five main criteria: freshness, maturity, damage, defect and uniformly size. Besides, machinery is also used to grade foods and may involve systematically sorting products by size, shape, and quality. The machinery alone is not adequate without an intelligent grading system. The impact of industrial revolution 4.0 invites the recent brilliant computer vision in various industrial applications. This project aims to model a simple grading system for a grey oyster mushroom which will suit the Malaysian agriculture industry using Raspberry Pi. The proposed work also targets to develop the grading system via a classification task of grey oyster mushrooms with a GUI as the interface. Based on the FAMA demand, the proposed work provided a good performance with 94% accuracy in the analysis and ready hardware for the grey oyster mushroom grading system. The grading system provides the farmer to select a can be sold or cannot be sold grade of grey oyster mushroom. Show less

Silver Award The International Borneo Innovation, Exhibition & Competition (IBIEC) 2022 Oct 2022 Project Title : Desktop Application-Based Malay Language Vowel Classification for Stroke Patient Rehabilitation AssessmentAbstract : Stroke disease is one of the Malaysian population's chronic diseases. Rehabilitation treatment for the patients is a consistent training period for regaining the patient's ability. However, traditional rehab treatment requires physical contact and is time-consuming. After the pandemic, systematic and non-contact treatment is desired to deliver flexibility… Show more Project Title : Desktop Application-Based Malay Language Vowel Classification for Stroke Patient Rehabilitation AssessmentAbstract : Stroke disease is one of the Malaysian population's chronic diseases. Rehabilitation treatment for the patients is a consistent training period for regaining the patient's ability. However, traditional rehab treatment requires physical contact and is time-consuming. After the pandemic, systematic and non-contact treatment is desired to deliver flexibility to the rehab staff. Plus, the demand for images in deep learning during training and testing simultaneously invites a difficulty of a one-dimensional wave signal. For this, an intelligent system is designed for assessing rehab treatment in a novel way to see sound as an image. Firstly, the sound file is converted to the image profile. Secondly, since the image profile is crucial in sound analysis, the image profile with reliable properties is chosen, here, spectrogram. Thirdly, the images will then be trained and tested with a neural network as the brain of the product. The network will finally be embedded in the proposed GUI to help the rehab assess the stroke patients. The proposed product will benefit the rehab center as a tool for stroke patient assessment and provide an excellent start for the sound analysis field via image profile. The proposed product achieved 90% classification accuracy during the in-lab testing phase. Show less

Gold Medal Jejak Inovasi UTeM 2022 Sep 2022 Project Title : Grey Oyster Mushroom Grading System (GO-MUSH)Abstract : Grey oyster mushroom is widely cultivated and consumed as supplementary food in Malaysia. Ensuring this grey oyster mushroom has a good quality when reaching the consumer, a grading involves inspecting and sorting various mushrooms regarding quality, freshness, legal conformity, and market value is a must. The typical grading is often done manually, and the mushroom is assessed and sorted. Here, grading mushrooms… Show more Project Title : Grey Oyster Mushroom Grading System (GO-MUSH)Abstract : Grey oyster mushroom is widely cultivated and consumed as supplementary food in Malaysia. Ensuring this grey oyster mushroom has a good quality when reaching the consumer, a grading involves inspecting and sorting various mushrooms regarding quality, freshness, legal conformity, and market value is a must. The typical grading is often done manually, and the mushroom is assessed and sorted. Here, grading mushrooms after harvesting is an essential step in post-harvest management. This grading of mushrooms also can be done based on five main criteria: freshness, maturity, damage, defect and uniformly size. Besides, machinery is also used to grade foods and may involve systematically sorting products by size, shape, and quality. The machinery alone is not adequate without an intelligent grading system. The impact of industrial revolution 4.0 invites the recent brilliant computer vision in various industrial applications. This project aims to model a simple grading system for a grey oyster mushroom which will suit the Malaysian agriculture industry using Raspberry Pi. The proposed work also targets to develop the grading system via a classification task of grey oyster mushrooms with a GUI as the interface. Based on the FAMA demand, the proposed work provided a good performance with 94% accuracy in the analysis and ready hardware for the grey oyster mushroom grading system. The grading system provides the farmer to select a can be sold or cannot be sold grade of grey oyster mushroom. Show less

Gole Medal Jejak Inovasi UTeM 2022 Sep 2022 Title : Vowel Recognition System (VoRecS) Abstract : A stroke is a medical condition in which poor blood flow to the human brain may cause by several factors of cell death. In general, recovery and treatment of stroke patients require an extended time frame consisting of consistent medication and training or rehabilitation training. However, this rehabilitation process is still conducted manually in most rehab centres over the globe. Since the impact of computer vision in this science… Show more Title : Vowel Recognition System (VoRecS) Abstract : A stroke is a medical condition in which poor blood flow to the human brain may cause by several factors of cell death. In general, recovery and treatment of stroke patients require an extended time frame consisting of consistent medication and training or rehabilitation training. However, this rehabilitation process is still conducted manually in most rehab centres over the globe. Since the impact of computer vision in this science and technology over the last two decades, machine learning and deep learning have been injected into this medical field to assist rehabilitation via the new technology. This project introduces an intelligent vowel assessment for the stroke patient during the rehab session. Realizing the traditional vowel assessment requires an improvement, which is conducted manually, the project delivers a systematic vowel assessment system. In laboratory analysis, the proposed project assessment's result presents a good performance accuracy. With a simple setting, an epoch of 20 and a batch size of 6, the maximum accuracy was 92.96 %. This result reflected that the proposed method is still comparable to other comparative methods with only a simple network design and a limited range of image datasets. Here, the graphical user interface for the intelligent assessment system provides a simple and systematic assessment, especially for the rehab centre. Show less

Bronze Award Innovation and Technology Competition (INOTEK) 2022 May 2022 Project Title : Latex Substance Rain Shelter based in Arduino

Silver Award Innovation and Technology Competition (INOTEK) 2022 May 2022 Project Title : IoT based Hydroponic Plantation Monitoring System

Bronze Award Innovation and Technology Competition (INOTEK) 2021 Jun 2021 Project Title : Smart Vowel Recognition for Disordered People

Best Paper Award International Journal of Computer Science and Mobile Computing Sep 2013 Journal Title : Prototype of Vehicle Security Alert System on Proton Iswara 1.3Abstract : Year by year, car stolen cases is increasing rapidly here in anywhere in the world. Statisticsreleased by the Polis Di Raja Malaysia (PDRM) revealed that 5,920 Proton cars were stolen between Januaryand October last year. Police believe the high demand for spare parts in the black market is the main reasonfor the large number of local cars being stolen. Recently, as the car stolen… Show more Journal Title : Prototype of Vehicle Security Alert System on Proton Iswara 1.3Abstract : Year by year, car stolen cases is increasing rapidly here in anywhere in the world. Statisticsreleased by the Polis Di Raja Malaysia (PDRM) revealed that 5,920 Proton cars were stolen between Januaryand October last year. Police believe the high demand for spare parts in the black market is the main reasonfor the large number of local cars being stolen. Recently, as the car stolen cases rising up, news about stolenlaptop from a parked car is also increasing. The proposed system will be a turning point as to reduce all thecar stolen cases. This system is implemented by the usage of Global System for Mobile Communications(GSM) communication, specifically by using the Short Messaging System (SMS) to the user’s mobile phoneas an alarm. The system works when there is any sensor of car alarm system is been activated, and sendsnotification immediately to user mobile phone by suing SMS message. In conclusion, this project wassuccessfully implemented as far as individual part and combined projects is concerned. It is recommendedthat the system to be improved in future by adding a built-in G-Shock sensor that has five (5) level settingsand can record multiple impact points. The SMS reply from the user to turn OFF the system should beembedded in the system.Keywords : Alert System; Global System for Mobile Communications (GSM); Modem; PIC16F877A; ShortMessaging System (SMS)URL : https://d1wqtxts1xzle7.cloudfront.net/31958433/V2I9201353-with-cover-page-v2.pdf?Expires=1668661334&Signature=g6AT8kfFxnOprJZil3C1WDSe-nFIZs8eCq858r4T~UV-N65cAuUubPlDzsZlT4ZM3~vbh5yPF6dNAMaGe6nF5kfVXSziM3TfyyFOCXWWCD9fBGsgPVASe17Sfdu1An0V1fWGrkS9yo~p3bCIBKWpzzs9PLAEFTOKp49LOSsTCUswS4YgWf9gk4zPhJRwpFw1GcJKZH0~Om~GVuAgrHusPSvmuIAaD8-Nek6xNycdFkZZcY8MOcFcCyEOFMTeuMWIW43ThzjRVcfvU9U4S96PDr0GdePSo59Iz5FJFN8mTMpTGznagEMiK6GDoV-J48LsLYLDrcOvl9SM5iaMIVZD5w__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA Show less