1,994 research outputs found

    Run for your heart

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    In conjunction with the World Heart Day Celebration 2017, the Secretariat for Genesis of Healthy Students (GENESIS) in collaboration with Student Affairs & Alumni Department (JHEPA), State Health Department (JKNP), UMP Health Center and the Paya Besar Students Club held the World Heart Day Closing Ceremony and Balloon Run 2017 at the Chancellor Square

    Ceramah Syria bergolak tanda hari kiamat

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    Baru-baru ini berlangsungnya Program Anda Tanya Ustaz Jawab anjuran Pusat Islam & Pembangunan Insan (PIMPIN) dan Jabatan Perpustakaan UMP dengan tajuk `Syria Bergolak Tanda Hari Kiamat’ yang disampaikan oleh Ketua Promosi & Pemasaran Malaysia Life Line For Syria (MLLFS), Amirul Asraf Mat Arif

    Young Researchers Workshop on River Management

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    Kuantan, 28th October – Faculty of Engineering Technology (FTK) organized the 5th International Young Researchers Workshop On River Basin Environment and Management which managed to attract 55 young researchers from Malaysia, Japan, Thailand, Vietnam, Indonesia and Nepal

    17 UMP Graduates are ECRL Trainees

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    Kuantan, 19 November – 17 Universiti Malaysia Pahang (UMP) graduating recently are a part of the trainees for the ECRL Industrial Skills Training Programme (PLKI-ECRL) currently undergoing their training at UMP Gambang Campus. The programme is a collaboration between UMP, Malaysia Rail Link Company (MRL) and China Communications Construction Company (ECRL) Sdn. Bhd. (CCCC) aimed at producing more skilled labour force in the rail industry

    Spiral antenna with reconfigurable HIS using liquid crystals for monopulse radar application

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    In this paper, the design of an electronically reconfigurable ground plane composed of a high impedance surface (HIS) based on liquid crystals is presented and used as a backing structure for a two-arm Archimedean spiral antenna. The structure is used to provide electronic switching of two different shaped radiation patterns for monopulse radar application; 1) sum-pattern (Σ-pattern), and 2) difference pattern (Δ-pattern). The antenna arrangement is shown to exhibit either the Σ- or the Δ-beam by changing the permittivity (and hence reflection phase) of the HIS reflector when a bias voltage is applied between the periodic array and ground plane. The HIS is demonstrated to resonate at 6 GHz, and numerical results are employed to investigate the performance of the HIS-backed spiral arrangement, i.e. radiation pattern, impedance match, realized gain (Σ-pattern), and null depth (Δ-pattern)

    Predicting Intention to Continue Using E-Tourism Technologies amidst Covid-19 Endemic: A PLS-SEM Approach

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    After almost two years of stalling, the tourism sector is now thriving as we move into the Covid-19 endemic phase, making travel safer. Therefore, continuous use of personalized immersive technology that can deliver timely information and shield users from the outbreak is essential. This study looks at how travellers intend to continue using e-tourism technologies which include augmented reality, social media, smartphone apps, smart technologies, websites and reservation systems. Purposive sampling was used to select 200 respondents who were above 18 years old to participate in a survey that was based on the Expectation-Confirmation Model. The acquired data was then examined using PLS SEM for hypothesis testing. The results showed that satisfaction with e-tourism technologies was the most significant predictor of motivation to keep using such technologies. Further discussion includes contributions to the field of knowledge as well as for players, developers and service providers in the tourism sector

    Organic Food Consumption among Urban Consumers: Preliminary Results

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    AbstractThe consumption of organic food is on the rise due to increasing health consciousness among Malaysians regarding food intake, as well as to the growth of the organic agricultural sector in this country. Therefore, this study attempts to investigate Malaysian consumers’ awareness and intention towards organic food consumption. A questionnaire survey was conducted for this study and the questionnaire was distributed to respondents in the townships of Shah Alam and Subang Jaya. Early results show respondents are highly aware of organic food, they find organic food to be good for their health as well as have the intention to purchase organic food products for their families

    Performance Enhancement of a UWB Antenna Using Backing Cavity for Improved Wireless Communication Systems

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    Ultra Wideband (UWB) is a wireless technology for transmission of massive amounts of data over a wide frequency band using short-pulses with very low power spectral density. In 2002, FCC authorized a frequency allocation in the range of 3.1–10.6 GHz with a maximum transmitted power of -41.3 dBm/MHz for UWB commercial use. Certain applications require unidirectional radiation and thus, antennas are usually backed by either a cavity absorber or a conducting plane reflector. However, the use of absorber will decrease the efficiency to only 50%, while the metal reflector is restricted with a quarter wavelength separation between the reflector and antenna for maximum performance. The objectives of this project is to enhance the performance of wideband antennas for several communication applications which exhibit good radiation patterns with high gain and front-to-back ratio, provide acceptable impedance, with a compact and lightweight structure. The geometrical design of the antennas will be studied and the simulation/design of the antenna will be executed using CST Microwave Studio® (CST MWS). These wideband antennas can be used for military applications such as avionics and microwave direction-finding systems, CubeSat, 5G technologies and other wireless communications e.g. WLAN, WiMAX and Bluetooth, which will be a significant contribution for Malaysia in enhancing its wireless communication

    Contextual Pre-Planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning

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    Recent studies show that deep reinforcement learning (DRL) agents tend to overfit to the task on which they were trained and fail to adapt to minor environment changes. To expedite learning when transferring to unseen tasks, we propose a novel approach to representing the current task using reward machines (RM), state machine abstractions that induce subtasks based on the current task's rewards and dynamics. Our method provides agents with symbolic representations of optimal transitions from their current abstract state and rewards them for achieving these transitions. These representations are shared across tasks, allowing agents to exploit knowledge of previously encountered symbols and transitions, thus enhancing transfer. Our empirical evaluation shows that our representations improve sample efficiency and few-shot transfer in a variety of domains.Comment: IJCAI Workshop on Planning and Reinforcement Learning, 202

    Neural Network in Biometrics : A Survey in Fingerprint Classification

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    Fingerprint classification has become a popular research topic due to its applicability in authentication and identification. There are several approaches in fingerprint classification system which are structural, syntactic, statistical and neural networks. The purpose of fingerprint classfication is to categorize a fingerprint into certain category based on its global pattern configuration. The analysis of comparisons between neural-network and non-neural network approaches have pointed out the advantages of using neural network in fingerprint classification. The results show that the combination of neural networks with other machine learning approach outperforms the neural networks and machine learning approach is suggested in this paper. The clear advantages of supervised and unsupervised learning in neural networks methods support the objective of this study that to suggest the neural network approach for fingerprint classification. A model of neural network combined with machine learning approach (SOM-LVQ and MLP) is proposed at the end of this study. SOM-LVQ is used for pre-classification and MLP classifier is used for classification
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