SOLAR LOCATION ESTIMATION USING LOGSIG BASED ACTIVATION FUNCTION USING ARTIFICIAL NEURAL NETWORK APPROACH
Fakroul Ridzuan Hashim, Prakash Nagappan, Mohd Taufiq Ishak, Nur Fazriana Joini@Jaini, Nazrul Fariq Makmor, Mohd Sharil Saleh, Nurzaitul Zolkiply
Solar panel is one of the renewable energy that can reduce the environmental pollution and have a wide potential of application. The exact solar prediction module will give a big impact on the management of solar power plants and the design of solar energy systems. This paper attempts to find the best Artificial Neural Network (ANN) based logsig transfer function and various training algorithm that can be used to calculate the temperature module (Tm) in Malaysia. This can be done by simulating the collected data of four weather variables which are the ambient temperature (Ta), local wind speed (Vw), solar radiation flux (Gt) and the relative humidity (Rh) into the Neural Network Tool in MATLAB. Three different ANN transfer function and 14 types of training were compared to choose the best method. Finally, an equation for the ANN model will be generated in order to calculate the temperature module based on ambient temperature, local wind speed, solar radiation and relative humidity variables.
HUMAN DETECTION FOR THERMAL AND VISIBLE IMAGES
Mazlinda Ibrahim, Hoo Yann Seong, Siti Zulaikha Ngah Demon, Suzaimah Ramli, Syed Nasir Alsagoff Syed Zakaria
Human detection and localization is one of the importance aspects in computer vision. It has broad applications in surveillance, robotic, driver assistance system, and for the military applications. The task is difficult because it depends on various conditions such as illumination, distance, human pose and weather condition. This study aimed to investigate human detection methods for thermal and visible images. We have explored three methods which are histogram of oriented gradient, integral image and aggregate of channel features. Our result showed that histogram of oriented gradient outperformed the other two using the tested images. However, the method is only applicable when the human is on the standing or upright position and limited to a certain distance between the scene and the camera position.
MODELLING SLOPE TOPOGRAPHY OF A HILLY TERRAIN USING UNMANNED AERIAL VEHICLE IMAGE TECHNIQUE
Neza bin Ismail, Fatin Nur Zatasya, Wan Mohamed Syafuan, Ng Choy Peng
Unmanned Aerial Vehicle (UAV) as data acquisition tools are becoming more affordable for many civil engineering applications. However, the accuracy of the output is influenced by many parameters. The main objective of this study was to investigate the effect of flight altitude toward the final output measurement accuracy without using Ground Control Point (GCP). Altitude is a parameter that is very important in flying UAV that has to be taken into consideration. Notably, the flight altitude depends on the ground condition, surrounding obstruction, Ground Sample Distance (GSD) and camera monitoring. The UAV should fly in a lower condition when GSD is better. However, this approach rarely can succeed because different site conditions such as flat terrain nor hilly terrain required different flight planning. Therefore, a field experiment will be carried out to investigate the optimum flight altitude to obtain acceptable accuracy of orthomap at hilly type of terrain. This study evaluates both the qualitative of the image and the quantitative aspect of the orthomap. The actual measurement of selected features was made and compared with the on screen measurement. An orthophoto will be generated by using Pix4Dmapper on a selected slope of the hilly terrain in UPNM Campus. Based on the results, different accuracy obtain on flat surface is 0.14% and slope surface is 2.77%, which needed further study to identify the method to reduce error. It is found that the accuracy without GCP is not having large error of more than 1% for flat area. Due to distortion of image on slope surface, the error is larger and needed GCP calibration. This study shows that UAV is a feasible platform for mapping of small area with acceptable accuracy.
SIFAT MEKANIKAL KOMPOSIT EPOKSI MONTMORILLONITE TERAWAT DIPERKUKUH CECAIR GETAH ASLI TEREPOKSIDA
Ku Zarina Ku Ahmad, Sahrim Ahmad, Rozaidi Rasid
Kajian ini telah dijalankan dengan menghasilkan dua sistem komposit iaitu komposit epoksi berpengisi montmorillonite (MMT) dengan dan tanpa cecair getah asli terepoksida (LENR) secara kaedah pencampuran in situ. Komposit telah di pra-matang pada tiga suhu iaitu pada suhu 30 °C, 50 °C atau 70 °C. Kedua dua sistem dimatang pada suhu 130 °Catau 140 °C. Ujian hentaman Izod dan ujian keliatan patah ke atas komposit yang dihasilkan menunjukkan peningkatan maksimum sebanyak 44% dengan penambahan MMT dan 29% peningkatan dengan penambahan getah asli terepoksida. Selain kandungan MMT, suhu pra matang 70 °Cmemberikan kesan yang ketara terhadap kekuatan hentaman dan keliatan patah sistem epoksi berpengisi MMT. Suhu pra-matang 50 °Cmerupakan suhu yang optimum dan berupaya memberikan kekuatan hentaman dan keliatan patah yang baik kepada sistem epoksi berpengisi MMT getah asli terepoksida. Suhu matang bagi kedua dua sistem tidak memberikan kesan yang ketara kepada sifat mekanikal kedua dua sistem komposit ini. Pemeriksaan mikrostruktur melalui mikroskop elektron transmisi menunjukkan MMT tertabur dengan susunan interkalasi. Peningkatan kandungan MMT melebihi 1% berat menunjukkan kehadiran taktoid dan penggumpalan silikat.
This study was conducted by producing two composite systems, namely montmorillonite-containing epoxy composites (MMT) with and without epoxidized natural rubber liquid (LENR) by in situ mixing method. The composite was pre-cure at three temperatures at 30 °C, 50 °C or 70 °C. Both systems are cured at a temperature of 130 °C or 140 °C. Izod impact test and fracture toughness test on the resulting composite showed a maximum increase of 44% with the addition of MMT and a 29% increase with the addition of epoxidized natural rubber. In addition to the MMT content, the pre-cure temperature of 70 °C has a significant effect on the impact strength and fracture toughness of the MMT-filled epoxy system. The pre-cure temperature of 50 °C is the optimum temperature and is able to provide good impact strength and fracture toughness to the epoxy system containing MMT epoxidized natural rubber. The curing temperatures of both systems do not significantly affect the mechanical properties of these two composite systems. Observation of the microstructure through the transmission electron microscope showed that MMT was dispersed in an intercalation arrangement. An increase in the content of MMT above 1% by weight indicates the presence of tactoids and silicate aggregation.
ANDROID DESIGNED MALWARE DETECTION CHALLENGES: A FUTURE RESEARCH DIRECTION
Afiqah Mohammad Azahari, Arniyati Ahmad, Syarifah Bahiyah Rahayu, Nur Diyana Kamarudin, Mohd Hazali Mohamed Halip
Statistically, Android is the most targeted mobile platform when it comes to malicious application. As a result, Android malware detection has become one of the sizing topics in the domain of mobile security. As the researchers focusing on developing a new approach to detect and fight Android malware, there are always a recent report exhibiting cases of Android malware. Multiple motivations cause mobile malware writers to continuously develop an application with malware. Their intentions are to gain access to the private network and to collect sensitive data. This paper categories type of mobile malware. Furthermore, the types of mobile malware that often attacks android’s users are discussed. Then, fundamental techniques usually implement to detect mobile malware are deliberated. Basic techniques such as Static, Dynamic and Hybrid analysis are explained in the section. Finally, open issues on detecting and evaluating Android designed malware presented as a guideline for future research directions.
EFFECT OF GAMMA RADIATION ON MICROMECHANICAL BEHAVIOR OF SNPB SOLDER ALLOY
Noor Fadhilah Rahmat, Wan Yusmawati Wan Yusoff, Nor Azlian Abdul Manaf, Azman Jalar, Nur Shafiqa Safee, Azuraida Amat, Nurazlin Ahmad, Irman Abdul Rahman, Norliza Ismail, Najib Saedi Ibrahim
Tin-lead (SNPB) alloys are widely used in microelectronic packaging industry. It serves as a connector that provide the conductive path needed to achieve the connection from one circuit element to another circuit element. In this research, the effect of gamma irradiation on the micromechanical behaviour of tin-lead (SNPB) solder alloy has been investigated using the nano-indentation testing. Gamma radiation with a Cobalt-60 source were exposed to SNPB solders with different doses from 5 Gy to 500 Gy. In this study, the nano-indentation technique was used to understand the evolution of micromechanical properties (hardness and reduced modulus) of SNPB solder joints subjected to gamma irradiation. The results showed that the hardness of the SNPB alloys was enhanced with increasing of gamma radiation. The hardness was greatest at dose of 500 Gy of sample, 25.6 MPa and had the lowest value at un-irradiated sample. However, the reduced modulus was decreased by increasing the irradiation of gamma due to the intrinsic properties and the atomic bonding of the material.
NEW TRACEABILITY APPROACH USING SWARM INTELLIGENCE FOR MILITARY BLOCKCHAIN
Syarifah Bahiyah Rahayu Syed Mansoor, Mohd Hazali Mohamed Halip, Afiqah Mohammad Azahari, Nur Diyana Kamarudin, Hassan Mohamed
Current military supply chain management is complex and complicated. Activities such as information, and knowledge sharing among involved parties are prone to cybercriminal. Protection of such private and confidential documents are very important. Therefore, a military supply chain derives a critical need for decentralized and digitize transactions in the ledger. This study is proposing a new traceability chain algorithm for military shipment using blockchain. The development of this traceability chain algorithm is based on algorithm development methodology. The new traceability chain algorithm is expected to trace product movement along with the blockchain network. In addition, it is also believed that this study will provide positive results for defense shipment. Future work is to broaden the scope to other military areas such as threat intelligence.
EFFECTS OF RAINFALL INTENSITIES AND AGGREGATE SIZE ON SEDIMENT CONCENTRATION AND HYDRAULIC PARAMETERS
Zuliziana Suif, Siti Zulaikha Baharom, Maidiana Othman, Nordila Ahmad, Mohd Asri Md Nor
The aim of this study was to investigate the relationship between the effects of rainfall intensity and aggregate sizes on sediment concentration and hydraulic parameters. Flow velocity, flow width, shear stress and stream power are the hydraulic parameters. The impact of various rainfall intensities with differing aggregate sizes (D1.18 mm and D2.00 mm) was also studied. Under the rainfall simulator, the different aggregate sizes, D1.18 mm and D2.00 mm, were set up at a slope angle of 20o. The flow of runoff was collected for 2 hours at several intervals (30, 60, 90 and 120 min). Then, the hydraulic parameters and concentration of the sediment were measured. As a result, the increased rate of rainfall creates a higher concentration of sediment on a steep slope from 7.988 to 3233.569 gm-3 and 2.954 to 976.736 gm-3 for aggregate sizes D1.18 mm and D2.00 mm, respectively. Generally, as the flow depth and shear stress were reduced, the estimated sediment concentration was higher. On the other hand, flow velocity and unit stream power were directly related to the sediment concentrations.