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Rosli Hazwani Mohd,Mokhlis Hazlie,Mansor Nurulafiqah Nadzirah,Sapari Norazliani Md,Halim Syahirah Abd 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.3
Islanding of distribution network can severely aff ect the system frequency and voltage due to imbalance power between generation and load demand. In a standard practice, distributed generations (DGs) are required to be disconnected when islanding occurs because of the technical concerns. However, the practice is not an ideal approach as the DGs can be used to energize some of the loads in the system. However, DGs can be allowed to continuously operate by addressing the power imbalance between generation and load demand by means of load shedding scheme (LSS). Therefore, this paper proposes an improved LSS based on modifi ed Discrete Evolutionary Programming (MDEP) and analytic hierarchy process (AHP). Two factors, which are the minimum power imbalance and minimum stability index are considered to attain a stable frequency and voltage of the system. The MDEP starts by short-listing the bus candidates to be shed while AHP method decides on the rank of the load to be shed considering both the power imbalance and stability index. The performance of the proposed LSS is evaluated based on the frequency responses. The eff ectiveness of the proposed scheme is tested on an 11 kV Malaysian distribution network, energized by the grid and two mini-hydros. Simulation results show a signifi cant improvement in the consistency (73.3%) of the proposed MDEP and converged at lower iteration number. Comparative study reveals the eff ectiveness of the proposed LSS in stabilizing the system frequency without frequency overshoot, a reduction of 68.4% and 17.7% of operating time during islanding and overloading events. Voltage profi le of the system is also improved for all buses.
Visibility Line Based Methods for UAV Path Planning
Rosli Omar,Da-Wei Gu 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper addresses path planning algorithms for an Uninhabited Aerial Vehicle(UAV) based on Visibility Lines(VL) method for real time applications. VL has been chosen because it provides a solution with optimal path length i.e. minimal distance travelled from starting point to target point. However, as known, the main problem with VL is that the computational burden some grows exponentially as the number of obstacles increases; hence, the VL method can not be appliedin real-time applications especially when a large number of obstacles are present. To over come such problems, we have developed algorithms based on VL called Base Line-Oriented Visibility Line(BLOVL) and its associate, Core Algorithm(CA) in which only the obstacles that intersect with the base line and their extensions are considered. As these algorithms calculate the path relatively fast, they are capable to plan UAV’s new path to avoid pop-up obstacles with minimal length and reach safely atthe target point. Through simulations, BLOVL&CA algorithms have been proven to produce better results over the original VL method interm of processing time with optimal solution. Since both algorithms allow planning and re-planning executed faster, they are applicable for real-time applications in dynamic environments.
A Lucky Case of Successful Free Fibula Osteocutaneous Flap Harvest in Peronea Arteria Magna
Rosli Mohamad Aizat,Wan Sulaiman Wan Azman,Halim Ahmad Sukari 대한성형외과학회 2022 Archives of Plastic Surgery Vol.49 No.2
The free fibula flap (FFF) is based on the peroneal artery (PA) system, and it is well known that several anatomical variations of the lower limb vascular system exist, including peronea arteria magna (PAM). PAM is a rare congenital variation in which both anterior tibial artery and posterior tibial artery are either aplastic or hypoplastic, and as a result, PA will be the dominant blood supply to the foot. This variation was described as type III-C in Kim-Lippert's Classification of the Infra-Popliteal Arterial Branching Variations. The awareness of its existence is crucial as it often precludes FFF from being harvested due to the risk of significant limb ischemia and limb loss. Despite some literature reporting donor site complications and impending limb loss following FFF harvest in PAM, preoperative vascular mapping before FFF transfer remains controversial among the microsurgeons. We present a case with an incidental intraoperative finding of PAM that had a successful FFF harvest by luck, without preoperative vascular mapping.
A Lucky Case of Successful Free Fibula Osteocutaneous Flap Harvest in Peronea Arteria Magna
Rosli Mohamad Aizat,Wan Sulaiman Wan Azman,Halim Ahmad Sukari 대한성형외과학회 2022 Archives of Plastic Surgery Vol.49 No.1
The free fibula flap (FFF) is based on the peroneal artery (PA) system, and it is well known that several anatomical variations of the lower limb vascular system exist, including peronea arteria magna (PAM). PAM is a rare congenital variation in which both anterior tibial artery and posterior tibial artery are either aplastic or hypoplastic, and as a result, PA will be the dominant blood supply to the foot. This variation was described as type III-C in Kim-Lippert's Classification of the Infra-Popliteal Arterial Branching Variations. The awareness of its existence is crucial as it often precludes FFF from being harvested due to the risk of significant limb ischemia and limb loss. Despite some literature reporting donor site complications and impending limb loss following FFF harvest in PAM, preoperative vascular mapping before FFF transfer remains controversial among the microsurgeons. We present a case with an incidental intraoperative finding of PAM that had a successful FFF harvest by luck, without preoperative vascular mapping.
The Study on the Accuracy of Classifiers for Water Quality Application
Rosaida Rosly,Mokhairi Makhtar,Mohd Khalid Awang,M Nordin A Rahman,Mustafa Mat Deris 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.3
Dirty water is the world's biggest health risk. When water from rain roads into rivers, it picks up toxic chemicals, dirt, trash and disease-carrying organisms along the way. Many of our water resources lack basic protections, making them vulnerable to pollution from factory farms and industrial plants. Due to that, a classification model is needed to present the quality of the water environment. In this paper, the data mining techniques are used in this research by applying the classification method for water quality application. Various classifiers were studied in order to find the most accurate classifier for the dataset. This paper presents the comparison of accuracies for the five classifiers (NB, MLP, J48, SMO, and IBk) based on a 10-fold cross validation as a test method with respect to water quality from the datasets of Kinta River, Perak Malaysia. This study also explores which classifier is suitable to classify the dataset. The selected attributes used in this study were: DO Sat, DO Mgl, BOD Mgl, COD Mgl, TS Mgl, DO Index, AN Index, SS Index, Class, and Degree of pollution. The data consisted of 166 instances and obtained from the East Coast Environmental Research Institute (ESERI) of Universiti Sultan Zainal Abidin (UniSZA). The result of MLP and IBk performed better than other classifiers for Kinta River dataset because these classifiers showed the highest accuracy with the same percentage of 91.57%. In the future, we will propose the multiclassifier approach by introducing a fusion at a classification level between these classifiers to get a higher accuracy of classification.