Universiti Teknikal Malaysia Melaka: UTeM Open Journal System
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Water Tree Simulation on Underground Polymeric Cable Using Finite Element Method
Get PDFMost insulation failures in polymeric underground cables have been caused by the formation of water tree in the polyethylene insulation that leads to electrical tree. Electric field intensity is fundamental to water tree growth, hence studying and modeling water tree in a cross-linked polyethylene (XLPE) insulation is vital as insulation failure is frequently triggered by water tree. The aim of this study is to determine the electric field intensity and to identify the electric potential distribution in XLPE insulation used in the underground medium voltage cable which are affected by water tree. Finite Element Method is used to perform the simulation works. The Electrostatic numerical models of 11kV single core XLPE cable affected by the variations of water tree models and size of water tree are analyzed. The two types of water tree, vented tree and bow-tie tree are modeled in the simulation and the properties of the models were set by the experimental value found in the literature. The simulation results revealed that regardless of water tree type, size, length, shape, dimension or location, water tree contributes to higher electric field at the affected region and thus reduces the dielectric strength of cable insulation. Nevertheless, the relative permittivity, shape, length and location of water tree induce a significant variation of electric field intensity in the insulation. The electric field is found to be more intensified at the region where water tree is closer to the conductor. Therefore, electrical tree is more likely generated from the vented water tree initiated from the outer surface of the insulation that grows towards the conductor rather than the other types of water tree
Closed House Chicken Barn Climate Control Using Fuzzy Inference System
Get PDFThe hazardous gases in chicken barn such as Ammonia (NH3) and hydrogen sulfide (H2S) are the health threats to the farm animals and workers which influenced by climate changes. The chicken barn requires real-time control to maintain the barn climate and monitor hazardous gases. The outdated on-off and proportional control are not so efficient in energy saving and productivity. The solution to monitor environment of the chicken barn is using wireless electronic nose (e-nose) and Short Messaging System (SMS). The e-nose system is used for the barn’s temperature and humidity data acquisition. The chicken barn climate control is utilizing fuzzy interface system. MATLAB software was used for the model which is developed based on Mamdani fuzzy interface system. The membership functions of fuzzy were generated, as well as the simulation and analysis of the climate control system. Results show that the performance of the fuzzy method can improve the system to control the barn’s climate. This system also provides real-time alerts to farmers based on specific limit value for the climate. It makes it easier for farmers to follow up on-site or remotely control the environmental conditions in the barn by using the SMS system
Electromyography - A Reliable Technique for Muscle Activity Assessment
Get PDFIn recent years, many questions have been raised on the credibility of Electromyography (EMG) as a technique to evaluate muscle activity, particularly by sports and fitness community. This questioning goes farther when it comes to surface electromyography (sEMG). This paper covers an overview of EMG, addresses some basic concepts and provide rudiment for research. Muscle activity assessment through EMG has been reviewed in terms of the type of movements. There are few limitations to EMG but these confines are addressable. The problem rather lies in the interpretation and generalization of that data. Limitations are there in every technology, precautionary measures must be taken to avoid those while using it. Reservations about EMG have been summarized along with their responses. A few techniques to analyze EMG data, and possibilities to extrapolate and interpret, are also provided. Current perspectives and practical applications of EMG and sEMG are also part of this article
A Forensic Scheme for Revealing Post-processed Region Duplication Forgery in Suspected Images
Get PDFRecent researches have demonstrated that local interest points alone can be employed to detect region duplication forgery in image forensics. Authentic images may be abused by copy-move tool in Adobe Photoshop to fully contained duplicated regions such as objects with high primitives such as corners and edges. Corners and edges represent the internal structure of an object in the image which makes them have a discriminating property under geometric transformations such as scale and rotation operation. They can be localised using scale-invariant features transform (SIFT) algorithm. In this paper, we provide an image forgery detection technique by using local interest points. Local interest points can be exposed by extracting adaptive non-maximal suppression (ANMS) keypoints from dividing blocks in the segmented image to detect such corners of objects. We also demonstrate that ANMS keypoints can be effectively utilised to detect blurred and scaled forged regions. The ANMS features of the image are shown to exhibit the internal structure of copy moved region. We provide a new texture descriptor called local phase quantisation (LPQ) that is robust to image blurring and also to eliminate the false positives of duplicated regions. Experimental results show that our scheme has the ability to reveal region duplication forgeries under scaling, rotation and blur manipulation of JPEG images on MICC-F220 and CASIA v2 image datasets
Adaptive Interest Lifetime in Named Data Networking to Support Disaster Area
Get PDFPending Interest Table (PIT) in Named Data Network (NDN) maintains a track of forwarded Interest packets so that the returned Data packet can be sent to its subscriber(s). PIT size is a crucial parameter, which can have a huge impact on the number of both satisfied and timed out Interest packet, and consequently, on the number of packet delay in terms of PIT overflow. There are a lot of studies focusing on caching, applications, and security to make NDN getting perfect, while the management of PIT is still one of the primary concerns of high-speed forwarding. Thus, PIT manages mechanism is one of the most important design specifics that have not been studied in the context of NDN to a significant extent. NDN needs to define concise mechanisms to monitor traffic when multiple users contend for access to the same or different resources, which may lead the PIT is overflowing and as a result increasing the delay. In order that, the objective of this study is to provide an adaptive mechanism under network load, namely Smart Threshold Interest Lifetime (STIL) to adjust incoming Interest packet in the early phase of occurrence to propose possible response decisions to realize PIT overflow recovery. The ndnSIM network simulator was used to measure the STIL. The results demonstrate that the proposed mechanism outperforms the performance of standard NDN PIT with respect to average Interest lifetime, Interest satisfaction, Interest retransmission and Interest satisfaction delay. The significance of this study is to provide a fundamental direction of a new adaptive Interest lifetime mechanism in NDN router to decrease the delay, especially on the natural disaster in a city, which will be very much useful for emergency operation centers, emergency rescue teams, and citizens
RF Mirror Media-based Modulation for Golden Codes
Get PDFThe application of radio frequency (RF) mirror media-based modulation (MbM) for the Golden code (GcMbM) is investigated. GcMbM improves upon the achievable spectral efficiency/error performance of the conventional Golden code. The analytical error performance of the conventional Golden code has not been presented in the literature; hence, the analytical average bit error probability (ABEP) based on the union bound is presented and validates Monte Carlo simulation results at high signal-to-noise ratios (SNRs). The ABEP analysis is extended to GcMbM and validates simulation results at high SNRs
Dental Disease Detection Using Hybrid Fuzzy Logic and Evolution Strategies
Get PDFDental disease detection is needed because majority of Indonesian have ever experienced dental disease. There are three areas affected by dental disease: South Sulawesi, West Sulawesi, and South Kalimantan according to Basic Health Research 2013. Obtaining accurate detection is difficult because it requires expert observations and interviews in order to improve their perception. Accurate dental disease detection is required by dentists as a tool to make it easier to improve patient interaction and time effeciency. Good and accurate detection requires an approach to obtain a model capable of processing observation data. This research proposes a method as solution utilizing hybrid approach employed both fuzzy logic and evolution algorithm. Evolution Strategies is used for optimization that get results better accuracy than simply using FIS Tsukamoto. Optimization focuses on the function of the degree of membership. This can be utilized to categorize the following dental disease. Variance: pulpitis, gingivitis, periodontitis and advacend periodontitis using formula Root Mean Square Error (RMSE) obtain with RMSE 0.82
Image Processing Techniques for Harumanis Disease Severity and Weighting Estimation for Automatic Grading System Application
Get PDFHarumanis Mango is known as the king of Mangoes. It is very nutritious and rich with carotenes. However, many of the farmers and agriculture experts reported that they have problems in grading and inspecting the Harumanis Mango. Sometimes, Mango production loses its quality due to diseases that are not even visible to the naked eyes. Traditionally, farmers and agriculture experts will estimate the severity of the disease using their experiences. While for weight estimation, manual inspection was done by using a weight scale. This traditional method has its own drawbacks as it can lead to some errors due to inconsistencies made by human inspection. Furthermore, they are less efficient and very time-consuming. Therefore, an automated procedure that able to classify the disease severities and weight estimations would be much appreciated. With the aid of image processing techniques, diseases can be classified according to its scale, and its weight can be estimated. A number of pixels of Harumanis Mango will be used for classification. The analysis will be done by using the statistical method of regression. It shows that the accuracy of weight estimation is 72.25%
Anomaly Techniques in Stepping Stone Detection (SSD): A Review
Get PDFStepping Stone Detection (SSD) can be used to trace back the real attacker in stepping-stone connection. Anomaly techniques are capable of identifying between normal and abnormal traffic. The collaboration of SSD and anomaly techniques enhanced the capability of detection of steppingstone connection. Several SSD approaches and anomaly techniques have been proposed in the literature. In this paper, we review these approaches and techniques. Furthermore, we suggest a potential future of anomaly techniques in SSD
Data Acquisition, Monitoring and Management of Purchased Items Using Java Programing
Get PDFThe Purchasing department manages all related transaction of items and services of the institution. In Lyceum of the Philippines University – Laguna (LPU-L), the Purchasing department provides services to item purchases of the school (inside or outside the campus). The method of monitoring and storage of data is done manually. Considering that purchasing transaction is becoming plentiful in just a month’s notice because of different colleges requiring items to be bought, the task of in-charge personnel is becoming laborious and tedious. With increasing purchase of items and rendering of related services, it is essential that information will be kept organized and secured. This paper proposes a system for effective data monitoring and management of transactions related to purchasing of items in Netbeans IDE platform using Java programming language with additional use of Apache POI Application Program Interface (API) to control and manipulate Excel files. Item specifications and transactions are to be stored in a Spreadsheet, as it offers easy manipulation of cells, sheets and workbooks. Ergo, it is easy to manage formulas for arithmetic use and it provides visual presentation of data through graphs and charts. The developed system is capable of handling data entered by the user and it will easily store the data in its proper excel directories, which would simplify and speed up the manual method of managing data. The system is also equipped with searching methodology and printing of summary report. This would facilitate tangible monitoring of data and its status. Most importantly, the system could further assist the decision making of the department head