93 research outputs found

    Personalized Mobile System Application: A Case Study

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    This paper presents an overview of the components, approaches and techniques which are used to build a mobile phone- application that uses short messaging service (SMS) text messages to improve interaction, information distribution and communication of stakeholders in a university setting. The proposed application is built upon a multiple compatible mobile phone menu-based subscription management application that is also customizable.  Since SMS has the potential to fill significant connectivity and service gaps, this application can provide support for them to become more ubiquitous. Event-based approach towards context-aware personalized notification service is adopted, i.e. user will receive relevant immediate SMS to his/her mobile phone based on his/her subscription for preferred notifications. A trigger enables event management system to send out (semi-) automated personalized notification. Notification services that understand the context within which their users operate, i.e. identity, activity and time are derived based on a set of predetermined rules. This will benefit the stakeholders in terms of getting up-to-date notifications via the delivery system which implements SysMan TellMe V8.04 as the delivery protocol and SMS server

    Nutritive assessment of four local herbal plants as animal feed supplements

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    Many local herbal plants are generally rich in secondary metabolites and contain high amount of essential nutrients. A study was conducted to evaluate the antioxidant content and antimicrobial activities of 4 selected herbal plants: Andrographis paniculata (Hempedu Bumi), Orthosiphon stamineus (Misai Kucing), Euphorbia hirta (Ara Tanah) and Boreria latifolia (Boreria) that are widely available in Malaysia. Proximate analysis, phyto-chemical determination and in vitro technique were used to evaluate nutritive value of the herbal plants. Fatty acid profile and 2,2-diphenyl-1-picrylhydrazyl (DDPH) free radical scavenging activity were also explored. A. paniculata had the highest content of crude protein (18.13±0.18%), calcium (11.92±1.66%), sapon in (18.73±1.13%) and flavonoids (1.25±0.21%). while, E. hirta contained highest tannin (0.24±0.007%), phenol (0.02±0.004%) and antioxidant content (9.22±0.02%). For antimicrobial activity, E. hirta, A. paniculata and O. stamineus methanol extracts at 500 mg/ml concentration showed moderate antimicrobial activities. The methanol extracts of all herbal plants exhibited stronger antimicrobial activities against the test pathogens compared to the herbal water extracts. Among the 4 local herbal plants examined, A. paniculata contained the lowest total saturated fatty acids (26.53±0.19 g/100g FAME) and highest unsaturated fatty acids (73.47±0.19 g/100g FAME) and E. hirta had the highest total gas production (49.10±8.97ml), rate of gas production (2.05±0.37 ml/h). All herbal plants studied have their own potential as animal feed supplements

    A Mini Review of Peer-to-Peer (P2P) for Vehicular Communication

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    In recent times, peer-to-peer (P2P) has evolved, where it leverages the capability to scale compared to server-based networks. Consequently, P2P has appeared to be the future distributed systems in emerging several applications. P2P is actually a disruptive technology for setting up applications that scale to numerous concurrent individuals. Thus, in a P2P distributed system, individuals become themselves as peers through contributing, sharing, and managing the resources in a network. In this paper, P2P for vehicular communication is explored. A comprehensive of the functioning concept of both P2P along with vehicular communication is examined. In addition, the advantages are furthermore conversed for a far better understanding on the implementation

    Physiological-based Driver Monitoring Systems: A Scoping Review

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    A physiological-based driver monitoring system (DMS) has attracted research interest and has great potential for providing more accurate and reliable monitoring of the driver’s state during a driving experience. Many driving monitoring systems are driver behavior-based or vehicle-based. When these non-physiological based DMS are coupled with physiological-based data analysis from electroencephalography (EEG), electrooculography (EOG), electrocardiography (ECG), and electromyography (EMG), the physical and emotional state of the driver may also be assessed. Drivers’ wellness can also be monitored, and hence, traffic collisions can be avoided. This paper highlights work that has been published in the past five years related to physiological-based DMS. Specifically, we focused on the physiological indicators applied in DMS design and development. Work utilizing key physiological indicators related to driver identification, driver alertness, driver drowsiness, driver fatigue, and drunk driver is identified and described based on the PRISMA Extension for Scoping Reviews (PRISMA-Sc) Framework. The relationship between selected papers is visualized using keyword co-occurrence. Findings were presented using a narrative review approach based on classifications of DMS. Finally, the challenges of physiological-based DMS are highlighted in the conclusion. Doi: 10.28991/CEJ-2022-08-12-020 Full Text: PD

    IoT Raspberry Pi Based Smart Parking System with Weighted K-Nearest Neighbours Approach

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    Due to the limited availability of parking slots in parking areas, drivers often have difficulty finding an empty parking slot. The number of parking slots available at a particular location is usually less than the number of vehicles. Hence, drivers spend a lot of time looking for vacant parking slots, which eventually delays the completion of their tasks, such as paying bills, attending a meeting, or visiting a patient at the hospital, etc. There are a couple of parking guidance systems that have been highlighted by the other researchers, but most of them lack real-time, convenient guidance. This research proposed a smart parking guidance system made of an IoT Raspberry Pi combined with an Android application that makes use of the weighted k nearest neighbours for positioning the vehicle. This was achieved through the use of Wi-Fi signal strength indicator fingerprinting, allowing for real-time navigation and parking detection. In order to achieve real-time parking over the internet, Raspberry Pi hardware and the ThingSpeak IoT cloud with ultrasonic sensors are used in the proposed method. An Android application was involved in this parking detection system, which adopted IoT approaches to estimate the location of users in real-time and provide routes using route-finding techniques to assist drivers in finding their desired parking slots. Data from the sensors was processed and translated into the Raspberry Pi using the Python programming language. They were sent using the Message Telemetry Transport protocol to send parking data to the ThingSpeak IoT cloud in real-time. This data was displayed via the Android app. The user is then able to view each available parking slot, acquire the route, and be directed with high accuracy to the parking slots of their choice. In this study, advanced sensing and communication technologies were used together with the weighted k nearest neighbours algorithm for positioning and wayfinding in order to improve parking guidance accuracy. Based on the experimental results, the proposed system showed a lower average error rate of 1.5 metres in comparison to other positioning techniques, such as GPS, or other similar algorithms for positioning, such as maximum a posteriori, which have shown average errors of 2.3 metres and 3.55 metres, respectively, a potential increase of more than 35% from the previous error rate. Doi: 10.28991/CEJ-2023-09-08-012 Full Text: PD

    The effect of smartphone's radiation frequency and exposure duration on NADPH oxidase 5 (NOX5) level in sperm parameters

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    Health hazard through smart phone radiation has been associated with male infertility. The suspected prime mediator is the NOX5 enzyme. When activated, the additional pathway for free radical production will damage sperm’s DNA. However, conclusive evidence is still lacking. Thus, this study was conducted to comprehend the detrimental effect of the radiation towards sperm parameters by using rat as a model. Parameters measured include sperm concentration, viability, DNA damage status and NOX5 level on sperm. This study consisted of two phases. The first phase was conducted to determine the optimal radiation frequency emitted from the smart phone. The radiation frequencies that were evaluated were 0 MHz (control), 4200 MHz without multiple connection mode (minimum frequency) and 9700 MHZ with multiple connection modes (maximum frequency). Each exposure setting represented one group. Each group consists of eight rats, which received exposure for 6 h/day for two consecutive weeks. All parameters measured showed significant differences. Optimum frequency for significant changes to sperm parameters were identified as the minimum frequency. Second part of the research involved the determination of optimum exposure duration. The optimal frequency obtained was used in combination with exposure duration of 0 h (control), 2, 4 and 6 h. Each group had 8 rats and exposure was conducted for 2 weeks. The results showed a significant difference for all parameters following 4 h of exposure. Following this, evaluation of DNA damage status through NOX5 activity was done by using the optimum setting where 0 MHz/0 h as a control and 4200 MHz/4 h per day for up to 2 weeks. The results showed significant differences of NOX5 fluorescent intensity between the two groups. In conclusion, although smart phone emitted low radiation, it can decrease sperm concentration, viability and increase DNA damage through ROS production. NOX5 pathway has been proven to be the likely pathway of ROS induced RF-EMW

    N-(2,6-Dimethylphenyl)-N′-propanoyl­thiourea

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    In the title compound, C12H16N2OS, an intra­molecular N—H⋯O hydrogen bond forms an S(6) ring motif. The propionyl­thio­urea group is approximately planar [with a maximum deviation of 0.135 (2) Å] and forms a dihedral angle of 83.39 (7)° with the benzene ring. In the crystal, mol­ecules are linked by pairs of N—H⋯S hydrogen bonds, forming centrosymmetric dimers and generating R 2 2(8) ring motifs

    Driver-centered pervasive application for heart rate measurement

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    People spend a significant amount of time daily in the driving seat and some health complexity is possible to happen like heart-related problems, and stroke. Driver’s health conditions may also be attributed to fatigue, drowsiness, or stress levels when driving on the road. Drivers’ health is important to make sure that they are vigilant when they are driving on the road. A driver-centered pervasive application is proposed to monitor a driver’s heart rate while driving. The input will be acquired from the interaction between the driver and embedded sensors at the steering wheel, which is tied to a Bluetooth link with an Android smartphone. The driver can view his historical data easily in tabular or graph form with selected filters using the application since the sensor data are transferred to a real-time database for storage and analysis. The application is coupled with the tool to demonstrate an opportunity as an aftermarket service for vehicles that are not equipped with this technology

    Checklist of the Family Acrididae MacCleay, 1821 (Orthoptera) Based on Voucher Specimens of Major Repositories in Sarawak

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    Acrididae is a family of insects consisting of the short-horned grasshoppers and locusts. Currently, knowledge on the faunistic composition of family Acrididae in Sarawak is still scarce. This study aimed to determine the species composition and to provide a current checklist of acridid fauna in Sarawak, using voucher specimens from Insect Reference Collection of Universiti Malaysia Sarawak (UIRC), and Research, Development and Innovation Division (RDID) of Forest Department Sarawak. A total of 925 specimens of acridid were examined, representing 5 subfamilies, 17 genera and 22 species. Subfamily Catantopinae was recorded with the highest number of species (8 genera; 10 species), followed by Oedipodinae (4 genera; 4 species), Cyrtacanthacridinae (2 genera; 3 species), Oxyinae (2 genera; 3 species), and Acridinae (1 genus; 2 species). The most abundant species was Traulia azureipennis followed by Valanga nigricornis. The least abundant species were Coloracris coerulescens, Coloracris sp., Craneopsis olivacea, Perakia borneensis and Phalaca waterstradti, which is represented by a singleton. This study serves as a fundamental data which will aid future taxonomic and ecological studies on Acrididae in Malaysia, particularly Sarawak
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