5975 research outputs found
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An Efficient & Secure Content Contribution and Retrieval content in Online Social Networks using Level-level Security Optimization & Content Visualization Algorithm
No full textOnline Social Networks (OSNs) is currently popular interactive media to establish the communication, share and disseminate a considerable amount of human life data. Daily and continuous communications imply the exchange of several types of content, including free text, image, audio, and video data. Security is one of the friction points that emerge when communications get mediated in Online Social Networks (OSNs). However, there are no content-based preferences supported, and therefore it is not possible to prevent undesired messages. Providing the service is not only a matter of using previously defined web content mining and security techniques. To overcome the issues, Level-level Security Optimization & Content Visualization Algorithm is proposed to avoid the privacy issues during content sharing and data visualization. It adopts level by level privacy based on user requirement in the social network. It evaluates the privacy compatibility in the online social network environment to avoid security complexities. The mechanism divided into three parts namely like online social network platform creation, social network privacy, social network within organizational privacy and network controlling and authentication. Based on the experimental evaluation, a proposed method improves the privacy retrieval accuracy (PRA) 9.13% and reduces content retrieval time (CRT) 7 milliseconds and information loss (IL) 5.33%
A Proposed Java Static Slicing Approach
No full textProgram slicing is to abstract a part of source code depending on the point of interest. It used widely in maintenance, debugging and testing. There are many slicing techniques such as static, dynamic, and amorphous. In this paper, we choose to develop a new approach applying static slicing on Java programs. The new approach simplifies the data dependency using arrays. A new Tool called Java Multi-Slicing Tool (JavaMST) has been introduced to apply this approach.JavaMST presents new ways to slice any simple java code segment, it allows you to extract the variables and its direct and indirect dependencies from the code, using backward, forward or both slicing techniques to produce the needed code. This tool is a simple tool designed to deal with simple java code segments. JavaMST can be run under any operating system and does not require a specialized platforms or plug-ins. Therefore, it is useful to be used for educational purposes
Improving Performance of DOM in Semi-structured Data Extraction using WEIDJ Model
No full textWeb data extraction is the process of extracting user required information from web page. The information consists of semi-structured data not in structured format. The extraction data involves the web documents in html format. Nowadays, most people uses web data extractors because the extraction involve large information which makes the process of manual information extraction takes time and complicated. We present in this paper WEIDJ approach to extract images from the web, whose goal is to harvest images as object from template-based html pages. The WEIDJ (Web Extraction Image using DOM (Document Object Model) and JSON (JavaScript Object Notation)) applies DOM theory in order to build the structure and JSON as environment of programming. The extraction process leverages both the input of web address and the structure of extraction. Then, WEIDJ splits DOM tree into small subtrees and applies searching algorithm by visual blocks for each web page to find images. Our approach focus on three level of extraction; single web page, multiple web page and the whole web page. Extensive experiments on several biodiversity web pages has been done to show the comparison time performance between image extraction using DOM, JSON and WEIDJ for single web page. The experimental results advocate via our model, WEIDJ image extraction can be done fast and effectively
Optimization of Arithmetical Operators for the Enhanced Wallace Stage
No full textIn the field of Digital signal processing (DSP), the reduction of some logical elements counts is one of the main considerations. To minimize the area, computational delay, and power, the digital form FIR filter is to be implemented. The optimization of the ATP (Area, Time and Power) is achieved by using the efficient multiplication and accumulation unit (MAC). In this work, the direct form FIR filter with the efficient MAC unit is presented. At the initial stage, the half adders and full adders are to be modified by the reduction of the logical gates. The modified half and full adder are implemented in the Wallace tree multiplier for performing the efficient multiplication process. Carry save adder is divided into the two stages to reduce the computational delay of arithmetical operators. The proposed MAC design is implemented in the direct form FIR filter by using the HDL language
Microwave Planar Sensor for Permittivity Determination of Dielectric Materials
No full textThis paper presents a single port rectangular ring resonator sensor for material characterizations. The proposed sensor is designed at operating resonance frequency of 4 GHz. The sensor consists of micro-strip transmission line and ring resonator with applying the enhancement method to the coupling gaps. The using of enhancement method is to improve the return loss of the sensor and sensitivity in terms of Q-factor, respectively. Furthermore, the proposed sensor is designed and fabricated on Roger 5880 substrate. Standard materials with known permittivity have been used in order to validate the sensor’s sensitivity. Based on the results, the percentage of error for the proposed rectangular sensor is 0.2% to 8%. It can be demonstrated that the proposed sensor will be useful for various applications such as medicine, bio-sensing and food industry
Voltage Stability Prediction on Power Networks using Artificial Neural Networks
No full text The objective of this paper is to predict the secure or the insecure state of the power system network using a hybrid technique which is a combination of Artificial Neural Network (ANN) and voltage stability indexes. Voltage collapse or an uncontrollable drop in voltage occurs in a system when there is a change in the condition of the system or a system is overloaded. A Transference Index (TI) which acts as a voltage stability indicator has been formulated from the equivalent two-bus network of a multi-bus power system network, which has been tested on a standard IEEE 30-bus system and the result is validated with a standard Fast Voltage Stability Index (FVSI). FACTS devices in the critical bus have been considered for the improvement of the voltage stability of the system. An ANN based supervised learning algorithm has been conferred in this paper alongside Contingency Analysis (CA) for the prediction of voltage security in an IEEE 30 - bus power system network.
Characterization of Respiratory Conditions Using Labview and Digital Spirometer
No full textOne of the effective ways to diagnose various respiratory diseases is using spirometry test. Good spirometer comes with excellent graphical user interface. Spirometer is used to measure lung parameters such as Forced Expiratory Volume in the first second and the sixth seconds (FEV1 and FEV6). This paper presents an algorithm with Graphical User Interface (GUI) for characterization of respiratory conditions using LabVIEW Software. The whole spirometry system consists of a breathing circuitry with pressure sensor and a data acquisition board (NI sbRIO FPGA board). Results obtained from three different volunteers with different health performances are also presented in this paper. The FEV1/FEV6 ratio of a healthy volunteer is 81.1%, an asthma volunteer is 72.04%, and suspected bronchitis volunteer is 33.4%. Based on these results, the unhealthy volunteers tend to have smaller value of FEV1 with lower area under the curve when compared to healthy volunteer
Hybrid Micro Genetic Algorithm Assisted Optimum Detector for Multi-Carrier Systems
No full textA low-complexity detection scheme, which consists of a Hybrid Micro Genetic Algorithm (Hybrid- µGA), is proposed for Orthogonal Frequency Division Multiplexing (OFDM) systems. In the absence of orthogonality, intercarrier-interference (ICI) occurs because a signal from one subcarrier causes interference to others. In several environment, the OFDM signal reflections from a far obstacle generate inter-block-interference (IBI) due to long time delays. To avoid these unpleasant effects of IBI and ICI in OFDM system, a Hybrid-µGA detection algorithm is proposed. The proposed detector combines the conventional one-Tap equalizer and the Micro Genetic Algorithm (µGA) search engine. The output of one-Tap equalizer is considered as the input to µGA search engine. Therefore, the µGA starts with some knowledge rather than blindly to speed up the search. Theoretical analysis and simulation results show that the proposed detection Hybrid- µGA scheme substantially improves the performance of OFDM systems. Moreover, its complexity is 10 times lower than the conventional GA
Cluttered Traffic Distribution in LoRa LPWAN
No full textLow Power WAN (LPWAN) is a wireless broad area network technology. It is interconnects using only low bandwidth, less power consumption at long range. This technology is operating in unauthorized spectrum which designed for wireless data communication. To have an insight of such long-range technology, this paper evaluates the performance of LoRa radio links under shadowing effect and realistic smart city utilities clutter grid distribution. Such environment is synonymous to residential, industrial and modern urban centers. The focus is to include the effect of shadowing on the radio links while attempting to study the optimum sink node numbers and their locations for maximum sensor node connectivity. Results indicate that the usual unrealistic random node distribution does not reflect actual real-life scenario where many of these sensing nodes follow the built infrastructure around the city of smart buildings. The system is evaluated in terms of connectivity and packet loss ratio
Sub Microsecond Analysis of Negative Cloud-To-Ground Lightning Flashes
No full textThis paper expounds a development software for the identification of lightning discharge in cloud-to-ground flashes. The study was to reduce a misleading detection of the electric field radiation of a lightning discharge profile by considering the important parameters of sub microseconds structure of lightning return stroke. The software was built-in MATLAB. The development of the software considered the important parameter of return strokes such as peak value, zero crossing, rising time and fast transition time. We used a modelling technique for training and patterning the 19 return stroke from electric radiation field generated by the negative cloud-ground lightning flashes recorded in Universiti Teknikal Malaysia Melaka. The 19 return strokes data were recorded by using Lecroy HDO4024 with 5 MS/s. The results showed that the software had the ability to recognize the lightning parameters such as peak value, zero crossing, rising time and fast transition time. In conclusion, the software was able solved the uncertainty of the unknown cloud-to-ground lightning flashes parameter. This paper expounds a programmed development software for the used to do identification of the characteristics oof the lightning dischargeeither in cloud-to- and ground flashescloud and ground flashes of the lightning strikes. The study was to reducee a misleading detection of the electric field radiation of a lightning discharge profile by considering the important parameters of sub microsecondsstructure of lightning return stroke.programmed should resolved the problem of unidentified signal of lightning strikes. The software was built-in MATLAB. The development of the software considered the important parameter of return strokes such as peak value, software to recognize the pattern of the lightning strikes of cloud-to-ground flashes or cloud-to-cloud flashes by determining the multiple parameters such as zero crossing, rising time and fast transition time. MAKLUMKAN KAEDAH YG “MUNGKIN” MELIBATKAN TRAIN BEBERAPA DATA CTH—We used a modellingtechnique Afor training and patterning the 19 return stroke from electric radiation field generated by the negative cloud-ground lightning flashesrecorded in Universiti Teknikal Malaysia Melaka. The 19 return strokes data were recorded by using Lecroy HDO4024 with 5 MS/s.First, the lightning pattern is described, then the programmed was tested to recognize all the parameters to identify the types of the lightning strikes. The results showeds that thee software had the ability to recognize the lightning parameters such as peak value, zero crossing, rising time and fast transition time. In conclusion, the software was able solved the uncertainty of the unknown cloud-to-ground unknown lightning flashes parameter.At last, some suggestions are given to improve the system for future research.Masukan Brief of conclusion…