- Sahana C; V An
Error-correction codes are the codes used to correct the errors occurred during the transmission of the data in the unreliable communication mediums. Error detection is the detection of errors caused by noise or other impairments during transmission from the transmitter to the receiver. The idea behind these codes is to add redundancy bits to the data being transmitted so that even if some errors occur due to noise in the channel, the data can be correctly received at the destination end. The Bose, Ray- Chaudhuri, Hocquenghem (BCH) codes are one of the powerful error-correcting codes. This paper describes the design...
Modelling Multiple Packet Filters with FSA for Filtering Malicious Packet
- Kruti Kakkad; Pg Scholar; Krunal Vaghela
Computer network security is now a days gaining popularity among network users. Organizations are spending more time and money for securing their information. Security is also more considered by the network researchers due to the importance of network security has grown unbelievably. Finite Automata or the state machine is a mathematical model to designing computer software and sequential logic circuits. FSA uses pattern for filtering. A pattern is a group of characters that exist along with the malicious programs. Pattern matching is the process of matching the incoming packet contents with the known patterns of the malware. In this paper...
Fuzzy based Congestion Detection in Computer Network
- Vishal Chandra; Soumya Mukherjee; Asst Professor
The traditional transmission control protocols are not so efficient for high speed computer networks and it has been a challenge to design a model that can be able to reduce congestion problem. In now days our life is very much affect by the internet. In any network, network congestion is the one of the most complex, critical, high priority and fundamental problem. So internet is affected by it. Congestion cause packet loss in data and long delay time to reach the packet. It requires intelligent, robust, control approach to obtain satisfactory performance. In this paper it is try to solve...
A New RR Scheduling Approach for Real Time Systems using Fuzzy Logic
- Lipika Datta
Round Robin scheduling algorithm is the widely used scheduling algorithm in multitasking. It ensures fairness and starvation free execution of processes. It performs optimally for time sharing systems, but because of its larger waiting time, turnaround time and greater number of context switches it is not suitable for soft real time systems. The main objective of this paper is to develop a way in which the Round Robin algorithm can be modified for implementation in real time and embedded systems by minimizing its average waiting time, average turnaround time and context switching rate. The paper discusses a fuzzy based CPU...
M.E scholar ECE Department, NITTTR, Chandigarh
- Meenakshi Thakur; Rajesh Mehra
This paper presents low area and power efficient delay register using CMOS transistors. The proposed register has reduced area than the conventional register. This delay register design consist of 6 NMOS and 6 PMOS. The proposed delay register circuit has been designed in logic editor and simulated using 90nm technology. Also the layout simulation and parametric analysis of modified layout has been done. Register has been designed using full automatic layout design, semicustom layout design and fullcustom layout design. Then the results of these different designs has been observed and compared in terms of area, delay and power. The simulation...
- Steve Lewis; Dampier Port Authority; Sir Rod Eddington; Gideon Todes; Sai To; Danish Maher; Logic Creators; Asad Aziz; Digof. Com; Julian Ilich
The Pilbara is presently an iconic natural resources monoculture economy. Although iron ore and natural gas are the dominant sectors, there is a great deal of undeveloped potential for economic diversification that would ensure the long-term economic viability (LEV) of the region. In having reviewed more than 200 documents and conducted interviews with government, industry and academics, this report asks fundamental questions about what kind of future could be created for the region in addition to these two industries. It also investigates how spin off industries can stabilise and become self-sustaining to create an inter-generational legacy for when the peak...
Exploiting SCADA vulnerabilities using a Human Interface Device
- Grigoris Tzokatziou; Leandros A. Maglaras; Helge Janicke; Ying He
systems are used to control and monitor critical national infras-tructure functions like electricity, gas, water and railways. Field devices such as PLC’s (Programmable Logic Controllers) are one of the most critical components of a control system. Cyber-attacks usually target valuable infrastructures assets, taking advantage of architectural/technical vulnerabilities or even weaknesses in the defense systems. Even though novel intrusion detection systems are being implemented and used for defending cyber-attacks, certain vulnerabilities of SCADA systems can still be exploited. In this article we present an attack scenario based on a Human Interface Device (HID) device which is used as a means of...
Developing of Fuzzy Logic Controller for Air Condition System
- Sameh Mohamed; Sobhy Wael; Mohamed Khedr
Fuzzy logic control was developed to control the compressor motor speed, fan speed, fin direction and operation mode to maintain the room temperature at or closed to the set point temperature and save energy and keep devices from damage. This paper describes the development of Fuzzy logic algorithm for Air Condition control system. This system consists of four sensors for feedback control: first for input electric volt which used to save devices from damage due to alternated voltages, second for temperature and third for humidity and fourth for dew point. Simulation of the Fuzzy logic algorithm for Air Condition controlling...
- Rajwinder Kaur; Moga Road Ferozepur; Amit Grover; Vishal Sharma
According to the modern research the rapid development of portable electronics is forcing the designers to elevate the existing designs for better performance. Addition is the crucial arithmetic operation used in various applications like, Digital signal processors, ALUs, math processor and in various other scientific applications. In this paper, we proposed the 1-bit CSA with gates having different values of NMOS & PMOS. Simulation results are presented at 45nm, 90nm and 180nm technologies. The performance parameters like area, power consumption and delay are observed at 45nm, 90nm and 180nm technologies using TANNER tool. In this paper, CSA are examined to...
Low Power 10T XOR based 1 Bit Full Adder
- Dhyanendra Singh; Sachin Bandewar
The popularity and necessity of portable electronic systems by users have strongly influenced VLSI designers to make great effort for reduced silicon area, improved speeds, long duration battery life, and great reliability. The VLSI designers always try to save power consumption while designing a system. In this paer, an efficient methodology is presented to improve the output swing level of GDI gates. New designs of GDI based basic digital (AND, OR, XOR, XNOR) gates are presented using single pass transistors to improve swing level of GDI gates. The new design of basic gates with combination of GDI logic and pass...
Study of Time Series Data Mining for the Real Time Hydrological Forecasting: A Review
- Satanand Mishra; C. Saravanan; V. K. Dwivedi
This paper presents a review of runoff forecasting method based on hydrological time series data mining. Researchers are developed models for runoff forecasting using the data mining tools and techniques like regression analysis, clustering, artificial neural network (ANN), and support vector machine (SVM), Genetic Algorithms (GA), fuzzy logic and rough set theories. The scientific community has been trying to find out a better approach to solve the issues of flood problems. Time Series Data mining is paying crucial role for the achieving a real time hydrological forecast. Hydrological Time series is an important class of temporal data objects and it...
PERFORMANCE IMPROVEMENT OF INTELLIGENT WEATHER SYSTEM
- Terna Engg Mumbai
Prediction of channel characteristics can be of immense value in improving the quality of signals in high frequency satellite systems. Atmospheric properties like rain, snow, gaseous, cloud, fog, scintillation can have a distorting effect on signal fidelity of Ku and Ka bands, thus resulting in excessive digital transmission error. This loss of signal is commonly referred to as signal attenuation. Signal attenuation impacts the QoS in wireless and satellite networks. Accurately predicting channel attenuation due to atmospheric conditions can enable mitigation planning by adaptively selecting appropriate modulation, coding, transmitted power level, transmission rate and configured frame size. The aim of...
- Alaa A. Ahmed; Turki Y. Abdalla; Ali A. Abed
Abstract: This paper deals with the navigation of a mobile robot in unknown environment using artificial potential field method. The aim of this paper is to develop a complete method that allows the mobile robot to reach its goal while avoiding unknown obstacles on its path. An approach proposed is introduced in this paper based on combing the artificial potential field method with fuzzy logic controller to solve drawbacks of artificial potential field method such as local minima problems, make an effective motion planner and improve the quality of the trajectory of mobile robot.
Fuzzy Energy Management for Photovoltaic Water Pumping System
- Imene Yahyaoui; Maher Chaabene; Fernando Tadeo
A Fuzzy energy management algorithm for a photovoltaic water pumping installation is presented and validated experimentally, using a plant composed of photovoltaic panels, battery banks, DC/AC converters, relays and a water pump. Considering many criteria related to the battery safe operation, fulfilling the water volume needed by the crops and ensuring a continuous function of the pump, the algorithm decides the switching of the relays, which link the installation’ components. The algorithm is evaluated for a specific case study: tomato irrigation in Tunisia. Obtained results confirm that the irrigation water demand is covered during the season with a minimum use...
Epileptic Seizure Prediction using Statistical Behavior of Local Extrema and Fuzzy Logic System
- Hamid Niknazar; Keivan Maghooli; Ali Motie Nasrabadi
Epileptic seizures are generated by abnormal activity of neurons. EEG-based epileptic seizure prediction could be a key to improve life style of patients that suffer from drug-resistance epilepsy. In this study, we propose a fuzzy logic system to predict epileptic seizures by using statistical behavior of local extrema (SBLE) features and a rule-based fuzzy system. Two approaches are considered to evaluate the proposed method. First approach is patient-dependent, which requires EEG data in preictal and interictal state. Second approach is leave one out (LOO) technique to evaluate generalizability of the method. Applied to the Freiburg EEG dataset, it was found...
A Proposed Fuzzy Logic based System for Predicting Surface Roughness when Turning Hard Faced Components
- Shamita Murmu; S. K. Jha; A. P. Burnwal
Hard-facing or hard-surfacing process is used for enhancing the service life of various machine parts by reshaping the worn out or eroded or corroded areas in them to improve their wear resistant properties. The hard-faced part contains rough, irregular and wavy surface, hence machining process is applied on them to get smooth finish and also to maintain the required dimension. The present paper is proposing a fuzzy logic based system to predict the surface roughness of a shaft like hard-faced component using some existing experimental data. Cutting speed (V), feed rate (fr) and depth of cut (DOC) are the three...
Intelligent Computing Techniques for the Detection of Sleep Disorders: A Review
- Vijay Kumar Garg; R. K. Bansal
Intelligent computing methods and knowledge based systems are well known techniques used for the detection of various medical disorders. This paper is based on the review of various intelligent computing methods that are used to detect sleep disorders. The main concern is based on the detection of sleep disorders such as sleep apnea, insomnia, parasomnia and snoring. The most common diagnostic methods used by many researchers are based on knowledge-based system (KBS), rule based reasoning (RBR), case based reasoning (CBR), fuzzy logic (FL), artificial neural network (ANN), support vector machine(SVM), multi-layer perceptron (MLP) neural network, genetic algorithm (GA), k-nearest neighbor...
Comparative Analysis of Universal Gates using MCML and CMOS Technique
- Ginni Jain; Keerti Vyas; Vijendra K Maurya; Gits Udaipur; Rajeev Mathur
MOS current mode logic (MCML) is an emerging logic family which is gaining attention due to its high speed of operation, robust performance and presence of mere switching noise as compared to the CMOS logic family. In this paper we have compared universal gates using MCML and conventional CMOS in terms of power and propagation delay at 16-nm Technology node. Comparative analysis shows that MCML universal gates has less power and delay as compared to conventional CMOS based universal gates at 16 nm technology. Variability analysis establishes MCML based universal gates as the most resilient and immune to various electrical...
A Framework for Fuzzy Ontology Storing onto Relational Database within an a Priori Data Integration System
- El-mehdi Berber; Beldjilali Bouziane; Myriam Lamolle
Resolving semantic heterogeneity is still a challenging issue in data integration systems; but it can be strongly fixed when using ontology in an a priori approach where local ontology concepts are linked with shared ontology prior to populating data in corresponding sources. In this paper, we describe a defying context where local source is described by a fuzzy OWL ontology within an integration system using an a priori approach to achieve automatic integration for new data sources. We propose a conceptual framework starting by shared ontology and producing a target fuzzy Relational Database for every ontology-based local source participating in...
The Japanese Missionaries and Their Impact on Korean Buddhist Developments (1876-1910)
- Vladimir Tikhonov
This work deals with the interaction between the Japanese Buddhist missionaries and Korean monkhood in the turbulent early modern period of Korean history, which began with the conclusion of Korea's first "unequal " treaty with Japan in 1876 and ended with Japanese annexation of the whole country in 1910. As Korea was peripherized and increasingly drawn in Japan's fledgling sphere of influence in East Asia, Japanese modern Buddhism became a reference model of sorts for the Korean monks who tended now to view Japan as their "protector " in practice and an ideal of "Buddhism-friendly" modernity in theory. In fact,...