honeypot based intrusion detection system



Brad Lhotsky Instant Ossec Host-Based Intrusion Detection System Brad Lhotsky Instant Ossec Host-Based Intrusion Detection System Новинка

Brad Lhotsky Instant Ossec Host-Based Intrusion Detection System

3927 руб.
Книга "Instant Ossec Host-Based Intrusion Detection System".
Kamaruzaman Maskat and Mohd Afizi Mohd Shukran Agent Based Snort In Distributed Environment Kamaruzaman Maskat and Mohd Afizi Mohd Shukran Agent Based Snort In Distributed Environment Новинка

Kamaruzaman Maskat and Mohd Afizi Mohd Shukran Agent Based Snort In Distributed Environment

3944 руб.
Intrusion Detection System (IDS) is used to detect intrusion and then alert the system administrator about the intrusion. This is what traditional IDS is all about. It is then up to the system administrator to deal with the intrusion. Human intervention is still needed when it comes to dealing with intrusion. This is because traditional IDS could only detect the intrusion but could not, on its own respond towards the intrusion. IDS is only able to alert the system administrator when it detects an intrusion. How and when the intrusion is dealt with is up to the system administrator. Human intervention when dealing with intrusion is not a problem if the person assigned to that task is always reliable. This perfect scenario is not the case in real life situation. To reduce human intervention when an intrusion is detected, we proposed Agent-Based IDS that has the ability to act autonomously when an intrusion is detected.
Moazzam Hossain Intrusion Detection with Artificial Neural Networks Moazzam Hossain Intrusion Detection with Artificial Neural Networks Новинка

Moazzam Hossain Intrusion Detection with Artificial Neural Networks

9877 руб.
Intrusion detection system is a detection mechanism that detects unauthorized, malicious presents in the computer systems. The purpose of this book is to design, implement and evaluate an anomaly based network intrusion detection system. The System learns about the normal users' behavior and finds the anomalies by matching with this normal behavior. A special type of neural network called backpropagation neural network is used for learning normal users' behavior. The network traffic that only contains information of normal users is presented with the neural network for learning about the normal users' behavior. The system performance has been tested by using a simulated computer network. The neural network is trained with huge,not so huge and small amount of data. The detection capability of the system has been tested with huge and small amount of data. It is seen from the performance analysis that the system performs well when trained with small amount of data. An overall detection rate of 98% has been achieved for both known and unknown attacks. Moreover, the system can detect 100% normal user.
Tim Crothers Implementing Intrusion Detection Systems Tim Crothers Implementing Intrusion Detection Systems Новинка

Tim Crothers Implementing Intrusion Detection Systems

4377 руб.
Книга "Implementing Intrusion Detection Systems".
Shahnawaz Husain,S. C. Gupta and R. C. Joshi Intrusion Detection Engine for Adhoc Environment Shahnawaz Husain,S. C. Gupta and R. C. Joshi Intrusion Detection Engine for Adhoc Environment Новинка

Shahnawaz Husain,S. C. Gupta and R. C. Joshi Intrusion Detection Engine for Adhoc Environment

4017 руб.
Most existent protocols, applications and services for mobile Adhoc networks (MANETs) assume a cooperative and friendly network environment and do not accommodate security. In MANETs, intrusion prevention (IPS) and intrusion detection (IDS) techniques need to complement each other to guarantee a highly secure environment. The IPS and IDS play different roles in different states of the network. Intrusion prevention measures, such as encryption and authentication, are more useful in preventing outside attacks. Once the node is compromised, intrusion prevention measures will have a little effect in protecting the network. Therefore, an intrusion detection system is serving as the second line of defense in Adhoc network. This Book used the incremental approach to designing the detection engine for Adhoc network environments.
Kamrul Hasan An Investigation into Botnet Detection System Kamrul Hasan An Investigation into Botnet Detection System Новинка

Kamrul Hasan An Investigation into Botnet Detection System

3944 руб.
In the modern digital age, the volumes of information security threats are increasing day by day. Recent malicious threats are intended to get financial benefits through a large number of compromised hosts-called bot. A group of bots network called botnet is responsible for sending spam emails, DDOS attack, identity theft, key logging and copy right violation. Botnet becomes the platform of new malicious attacks and boost the capability of the old malicious software’s. Most of the threats have the ability to evade new commercial antivirus, network intrusion detection systems and firewalls.In this book host based botnet detection mechanisms are investigated using honeypot technology. Honeypots is a highly flexible tool to prevent, detect and monitor the information security threat. A physical or virtual honeypot can be placed with all other production computers or servers of any organization to get the detailed picture of network attack activity from outside. On the other hand honeypot can discover vulnerabilities and compromised host of an organization by analyzing the network traffic.
Denis Aumüller Vergleich einer kommerziellen Intrusion Detection Software mit einer OpenSource-Losung im Bezug aus Leistung, Anwendbarkeit und Kosten Denis Aumüller Vergleich einer kommerziellen Intrusion Detection Software mit einer OpenSource-Losung im Bezug aus Leistung, Anwendbarkeit und Kosten Новинка

Denis Aumüller Vergleich einer kommerziellen Intrusion Detection Software mit einer OpenSource-Losung im Bezug aus Leistung, Anwendbarkeit und Kosten

9564 руб.
Inhaltsangabe:Zusammenfassung:Das Ziel im Rahmen dieser Diplomarbeit für die Firma BASF IT Services B.V. ist es einen Vergleich zwischen der vorhandenen kommerziellen Intrusion Detection Software „RealSecure“ und einer kostenlosen OpenSource-Lösung namens „Prelude“ anzustellen. Dieser Vergleich soll sowohl die Features, als auch Integration, Kosten und Nutzen berücksichtigen, da die BASF IT Services B.V. im Rahmen ihres Managed Security Konzeptes ihren Kunden maßgeschneiderte und kostengünstige IDS Produkte anbieten möchte. Computersicherheit ist in der heutigen Zeit nicht nur wegen den sich häufenden Medienberichten über gelungene Einbruchsversuche ein vieldiskutiertes Thema. Eine Folge davon ist ein deutlicher Anstieg der Nachfrage an Sicherheitsprodukten, zu denen auch Intrusion Detection Systeme zählen. Übereinstimmend wird geschätzt, dass sich durch deren Verwendung ein höheres Niveau der Systemsicherheit erreichen lässt.Inhaltsverzeichnis:Inhaltsverzeichnis:1.Einleitung41.1Aufgabenstellung41.2Eidesstattliche Erklärung42.Einführung in das Thema IDS52.1Definition „Intrusion Detection“52.2Was ist ein „Intrusion Detection System“ (IDS) ?52.3Wieso IDS einsetzen?62.4Arten von IDS72.5Erkennung von Angriffsmustern102.6Einsatz in einem geswitchten Netzwerk133.Produktvorstellung163.1Einleitung163.2Produkt Matrix163.3Kurzvorstellung der Produkte184.Vergleich der Softwarelösungen204.1„Prelude 0.8.1“204.2„RealSecure 6.7“325.IDS in der Praxis445.1Einleitung445.2Entwicklung der Angrif...
Manfred Fettinger Intrusion Detection in Wireless Ad Hoc Networks Manfred Fettinger Intrusion Detection in Wireless Ad Hoc Networks Новинка

Manfred Fettinger Intrusion Detection in Wireless Ad Hoc Networks

1264 руб.
Bachelor Thesis from the year 2009 in the subject Computer Science - Theory, grade: 2, University of Applied Sciences Technikum Vienna, language: English, abstract: Wireless ad-hoc networks are networks without any infrastructure. Due to this fact they are very vulnerable to attacks. Adversaries do not have to pass different barriers like gateways or firewalls like in wired networks. Therefore different architectures for intrusion detection were developed. The contribution of this paper is to present different intrusion detection architectures, explains their behaviour and compare them. Furthermore it is shown how game theory can be used to improve performance of intrusion detection.
Tapan Gondaliya Intrusion Detection System in mobile ad hoc network in MAC layer Tapan Gondaliya Intrusion Detection System in mobile ad hoc network in MAC layer Новинка

Tapan Gondaliya Intrusion Detection System in mobile ad hoc network in MAC layer

2714 руб.
Master's Thesis from the year 2013 in the subject Computer Science - IT-Security, grade: C, Lovely Professional University, Punjab (School Of Computer Science and Engineering), course: M.Tech(CSE), language: English, abstract: The rapid proliferation of Mobile ad hoc network has changed the landscape of network security. The recent DOS attacks on major Internet sites have shown us, no open computer network is immune from intrusions. The ad-hoc network is particularly vulnerable due to its features of open medium, dynamic changing topology and cooperative algorithms, lack of centralized monitoring and management point and lack of a clear line of defense. The traditional way of protecting networks with firewalls and encryption software is no longer sufficient and effective. There are many intrusion detection techniques have been developed on Ad hoc network but have been turned to be inapplicable in this new environment. Here we need to search for new architecture and mechanisms to protect Mobile Ad hoc network. In the above all technique of intrusion detection is applied on the only one layer and that is probably on routing layer. But here we apply this intrusion detection system in the MAC layer for the more security, efficiency and high speed compare to other technique those whose apply in the network layer.
Honarbakhsh Roza Incorporating Additional Intelligence Into The Client Honeypot Honarbakhsh Roza Incorporating Additional Intelligence Into The Client Honeypot Новинка

Honarbakhsh Roza Incorporating Additional Intelligence Into The Client Honeypot

7402 руб.
Due to expose of information on networks and relying on the Internet, there have been a surge number of attacks against servers and host systems. Honeypots' technology is evolving to collect information about these kinds of attacks by simulating the human behavior for analyzing existing attacks. In as much as, Honeypot categorized as a subset of Intrusion Deception Systems, following human pattern behavior is the final aim that should be considered in developing and deploying Honeypot systems. The focus of this book is to understand and determine the effectiveness of client Honeypot interaction in order to capture more data.
Daniel Thies Metrics for Intrusion Detection in Wireless Sensor Networks Daniel Thies Metrics for Intrusion Detection in Wireless Sensor Networks Новинка

Daniel Thies Metrics for Intrusion Detection in Wireless Sensor Networks

4521 руб.
Wireless sensor networks are commonly deployed for collecting information about environments by using sensors. The nodes are restricted in their resources and dynamically maintain the network structure by themselves. Therefore, they are vulnerable to many intrusions or network attacks. In this book a novel approach for intrusion detection in wireless sensor networks is developed. Common performance and network metrics are considered to be indicators for a local intrusion detection on wireless sensor nodes. The mechanism does not need additional data collection, because most of the local metrics are already collected on each node. For the analysis the metrics are measured in different scenarios and evaluated in a real wireless sensor network deployment at the Technical University in Darmstadt. The considered and implemented network attacks for the intrusion detection are jamming and blackhole. The evaluation shows that several metrics are suitable for the detection. The results can be used for lightweight implementations of intrusion detection systems in wireless sensor networks.
Jabarweer Singh,Krishan Kumar and Gulshan Kumar Intrusion detection using artificial intelligence based ensembles Jabarweer Singh,Krishan Kumar and Gulshan Kumar Intrusion detection using artificial intelligence based ensembles Новинка

Jabarweer Singh,Krishan Kumar and Gulshan Kumar Intrusion detection using artificial intelligence based ensembles

4419 руб.
Network security is a serious global concern. The increasing prevalence of malware and incidents of attacks hinders the utilization of the Internet to its greatest benefit and incur significant economic losses. The traditional approaches in securing systems against threats are designing mechanisms that create a protective shield, almost always with vulnerabilities. This has created Intrusion Detection Systems to be developed that complement traditional approaches. However, with the advancement of computer technology, the behavior of intrusions has become complex that makes the work of security experts hard to analyze and detect intrusions. In order to address these challenges, Artificial Intelligence based techniques have become a promising solution. However, the individual techniques report low detection accuracy and high false positive rate in intrusion detection. The accuracy may be enhanced by using ensemble techniques comprised of multiple techniques. The multiple techniques can be combined in a number of ways to enhance the detection results.
Aslahi Shahri Bibi Masoomeh Intrusion Detection System Using Hybrid Gsa-kmeans Aslahi Shahri Bibi Masoomeh Intrusion Detection System Using Hybrid Gsa-kmeans Новинка

Aslahi Shahri Bibi Masoomeh Intrusion Detection System Using Hybrid Gsa-kmeans

9439 руб.
Security is an important aspect in our daily life. Intrusion Detection Systems (IDS) are developed to be the defense against security threats. Current signature based IDS like firewalls and antiviruses, which rely on labeled training data, generally cannot detect novel attacks. The purpose of this study is to improve the performance of IDS in terms of detection accuracy and reduce False Alarm Rate (FAR). Clustering is an important task in data mining that is used in IDS applications to detect novel attacks. Clustering refers to grouping together data objects so that objects within a cluster are similar to one another, while objects in different clusters are dissimilar. K-Means is a simple and efficient algorithm that is widely used for data clustering. However, its performance depends on the initial state of centroids and may trap in local optima. The Gravitational Search Algorithm (GSA) is one effective method for searching problem space to find a near optimal solution. In this study, a hybrid approach based on GSA and k-Means (GSA-kMeans), which uses the advantages of both algorithms, is presented.
Thomas Stein Intrusion Detection System Evasion durch Angriffsverschleierung in Exploiting Frameworks Thomas Stein Intrusion Detection System Evasion durch Angriffsverschleierung in Exploiting Frameworks Новинка

Thomas Stein Intrusion Detection System Evasion durch Angriffsverschleierung in Exploiting Frameworks

9127 руб.
Ein erhöhter Schutzbedarf von IT-Systemen kann durch Sicherheitsmaßnahmen wie Firewalls, Intrusion Detection Systeme bzw. Intrusion Prevention Systeme (IDS/IPS) gewährleistet werden, die bestimmten Datenverkehr blockieren oder Angriffe erkennen und verhindern sollen. Ein Beispiel für einen Angriff ist das Ausnutzen einer Sicherheitslücke durch einen Exploit mit dem Ziel eigenen Code auszuführen und die Kontrolle über das IT-System zu erlangen. Exploiting Frameworks stellen für solche Angriffe eine Art Baukasten dar, mit dem ein Angreifer den Exploit anpassen und automatisiert gegen ein Zielsystem ausführen kann. Viele Angriffe werden jedoch durch Schutzmaßnahmen wie IDS erkannt bzw. im Falle von Intrusion Prevention Systemen (IPS) abgewehrt. Um eine Erkennung derartiger Angriffe zu verhindern, existieren mehrere kombinierbare Techniken, die jeweils auf verschiedenen Schichten des ISO OSI Modells angewendet werden, um die Mechanismen von IDS/IPS zur Erkennung von Angriffen zu umgehen. In einigen Exploiting Frameworks, wie z.B. dem Metasploit Framework (MSF), SAINT Exploit oder Core Impact, sind bereits einige der Techniken zur Verschleierung von Angriffen implementiert. Dies stellt ein Risiko für Unternehmen dar, da erfolgreiche Angriffe auf IT-Systeme in diesem Fall nicht mehr durch IDS erkannt werden können. In diesem Buch werden Techniken und Konzepte analysiert und bewertet, mit denen Angriffe so gestaltet werden, dass sie nicht von IDS/IPS erkannt werden können (Insertion...
Rupali Pathak Recent Advances In Intrusion Detection Rupali Pathak Recent Advances In Intrusion Detection Новинка

Rupali Pathak Recent Advances In Intrusion Detection

3212 руб.
Threats to networks are numerous and potentially devastating. Intrusion detection is one of core technologies of computer security. Most of the existing IDs (Intrusion Detection systems) use all features in the network packet to look for known intrusive patterns, some of these features are irrelevant or redundant. A well-defined feature extraction algorithm makes the classification process more effective and efficient. This book approaches Linear Discriminant Analysis (LDA) with Back Propagation to address the problem of identifying important features in building an ID system, increase the convergence speed and decrease the training time. This book offers you a detailed and practical analysis with a fresh approach. An improved dataset (NSL-KDD) and effective classification is used to build the system that gives better and robust representation as it is able to transform features resulting in great data reduction, time reduction and error reduction in detecting new attacks. The content of the book is especially useful to professionals, students and researchers working in the field of Network Security & Privacy.
Dey Emon Kumar Computer Vision Based Gender Detection from Facial Image Dey Emon Kumar Computer Vision Based Gender Detection from Facial Image Новинка

Dey Emon Kumar Computer Vision Based Gender Detection from Facial Image

6452 руб.
Computer vision-based gender detection from facial image is a challenging and important task for computer vision-based researchers. The automatic gender detection from face image has potential applications in visual surveillance and human-computer interaction sys- tems (HCI). Human faces provide important visual information for gender perception. The system described in this book can automatically detect face from input images and the detected facial area is taken as region of interest (ROI). Some techniques and algorithm of Image Processing is applied on that ROI which identifies the gender of the face image.The experimental reseult described on chapter 4 in this book finds the accuracy of the system is more than 80%.
Homam El-Taj and Omar Amer Network Alert Management System For IDS False Positive Reduction Homam El-Taj and Omar Amer Network Alert Management System For IDS False Positive Reduction Новинка

Homam El-Taj and Omar Amer Network Alert Management System For IDS False Positive Reduction

2929 руб.
Every secure system has the possibility to fail. Therefore, extra effort should be taken to protect these systems. Intrusion detection systems (IDSs) had been proposed with the aim of providing extra protection to security systems. IDS is a powerful computer security system used to secure the computer environments. These systems trigger thousands of alerts per day, which prompt security analysts to verify each alert for relevance and severity based on an aggregation and correlation criterion. This Book presents a new IDS Alerts Management System IDSAMS) which is a parallel system used to manage the IDS alerts, reduce the false positive by aggregating and correlating the IDS alerts to give full understanding of the network attacks as well as easing the process for the analysts and save their time. IDS Alerts management system is a standalone system which can work based on real alerts from an online data or offline data as full a Forensic Investigation System.
Shaffali Gupta and Sanmeet Kaur A GUI Framework for detecting Intrusions using Bro IDS Shaffali Gupta and Sanmeet Kaur A GUI Framework for detecting Intrusions using Bro IDS Новинка

Shaffali Gupta and Sanmeet Kaur A GUI Framework for detecting Intrusions using Bro IDS

3944 руб.
Network security is the provision made in an underlying computer network or rules made by the administrator to protect the network and its resources from unauthorized access. To make network secure, an Intrusion detection system is one of the efficient system. Bro is an open source Network Intrusion Detection System that monitors network traffic, check for suspicious activities and notifies the system or network administrator. Some Policy Scripts are already built in Bro IDS. In this work, various types of live traffic is captured and analyzed. Some new policy scripts are built to filter out the needed packets from the captured traffic. Also, a Graphical User Interface is designed to eliminate the need of writing of commands at terminal and making it easy for users to create the scripts and run them on captured traffic. A GUI framework is integrated in Bro that analyzes and filters the traced network traffic.
Md. Nafiz Imtiaz Protection of Domestic & industrial Electrical system by sensing Sound Md. Nafiz Imtiaz Protection of Domestic & industrial Electrical system by sensing Sound Новинка

Md. Nafiz Imtiaz Protection of Domestic & industrial Electrical system by sensing Sound

3944 руб.
There are different ways of detection of system disturbance and then protection of domestic and industrial electrical system. But most of them are relatively costly. Here I want to design a system which is less complex and economical than the remaining system. My total system can also served different purpose such as, power saving traffic light system, emergency lighting system, switch on- off system by making sound, thief detection for domestic areas and etc. Here I use sound and vibration sensor to serve the purpose. The total system is designed to improve the comfort level of an individual person. So a Complete System by Sensing Sound and Vibration for Detection of System Disturbance and Protection of Domestic and Industrial Electric System is designed here.
Imtiaz Md. Nafiz Protection of Domestic . industrial Electrical system by sensing Sound Imtiaz Md. Nafiz Protection of Domestic . industrial Electrical system by sensing Sound Новинка

Imtiaz Md. Nafiz Protection of Domestic . industrial Electrical system by sensing Sound

8777 руб.
There are different ways of detection of system disturbance and then protection of domestic and industrial electrical system. But most of them are relatively costly. Here I want to design a system which is less complex and economical than the remaining system. My total system can also served different purpose such as, power saving traffic light system, emergency lighting system, switch on- off system by making sound, thief detection for domestic areas and etc. Here I use sound and vibration sensor to serve the purpose. The total system is designed to improve the comfort level of an individual person. So a Complete System by Sensing Sound and Vibration for Detection of System Disturbance and Protection of Domestic and Industrial Electric System is designed here.
Bastian Hartmann Vision-based pedestrian detection and estimation with a blind corner camera Bastian Hartmann Vision-based pedestrian detection and estimation with a blind corner camera Новинка

Bastian Hartmann Vision-based pedestrian detection and estimation with a blind corner camera

3577 руб.
Research Paper (undergraduate) from the year 2006 in the subject Electrotechnology, grade: 1,0, University Karlsruhe (TH), language: English, abstract: Avoiding collision accidents is becoming more and more an important topic in the researchfield of driver assistant systems. Especially for vision-based detection systems there arevarious approaches, which are built upon many different methods.This thesis deals with the avoidance of pedestrian accidents, caused by Blind Cornerview problems. The presented approach comprises a pedestrian detection subsystem, whichis part of a large camera system framework covering observation of the car environment.Based on a Blind Corner Camera and a neural network classification method, research inthis thesis is focused on two aspects: detection improvement and danger level estimation.Since vision-based classification methods usually are still not able to yield perfect results,because of the complexity of this task, the detection result has to be improved bypreprocessing and post processing. In this work, first, effects of image enhancementmethods on detection are tested as preprocessing methods and, secondly, a new approachfor a simple tracking and estimation strategy is presented, which improves detection in theway of a post processing method. Finally, information from tracking and prediction is usedto estimate a danger level for pedestrians, which provides information about how collisionpronethe current situations is.
Lanayre Liggera Intrusion Lanayre Liggera Intrusion Новинка

Lanayre Liggera Intrusion

2314 руб.
Книга "Intrusion".
Yogesh Kumar,Krishan Kumar and Gulshan Kumar Feature Selection For Intrusion Detection Systems Yogesh Kumar,Krishan Kumar and Gulshan Kumar Feature Selection For Intrusion Detection Systems Новинка

Yogesh Kumar,Krishan Kumar and Gulshan Kumar Feature Selection For Intrusion Detection Systems

4358 руб.
Network security is a serious global concern. The increasing prevalence of malware and incidents of attacks hinders the utilization of the Internet to its greatest benefit and incur significant economic losses. The traditional approaches in securing systems against threats are designing mechanisms that create a protective shield, almost always with vulnerabilities. This has created Intrusion Detection Systems to be developed that complement traditional approaches. However, with the advancement of computer technology, the behavior of intrusions has become complex that makes the work of security experts hard to analyze and detect intrusions. In order to address these challenges, data mining techniques have become a possible solution. However, the performance of data mining algorithms is affected when no optimized features are provided. This is because, complex relationships can be seen as well between the features and intrusion classes contributing to high computational costs in processing tasks, subsequently leads to delays in identifying intrusions. Feature selection is thus important in detecting intrusions by allowing the data mining system to focus on what is really important.
Geoff Dean Neurocognitive Risk Assessment for the Early Detection of Violent Extremists Geoff Dean Neurocognitive Risk Assessment for the Early Detection of Violent Extremists Новинка

Geoff Dean Neurocognitive Risk Assessment for the Early Detection of Violent Extremists

9439 руб.
This Brief provides a theoretical and conceptual development of a new Risk Assessment Toolbox (RAT) for the early detection of violent extremists. It is based on a neurocognitive perspective, conceptualized as 'neuroplasticity-in-action' arising from brain-based neural patterns expressed in mind-based cognitive pathways likely to form a mind-set of violent extremism. This neurocognitive-based Risk Assessment Toolbox (RAT) is comprised of two distinct components: a cognitive indicators instrument that serves as an early detection checklist for trained practitioners, and a software visualisation program. The Brief includes: A framework of contemporary approaches to the risk assessment of violence as well as the background context for the current research project on 'violent extremism' and its related concepts of 'terrorism' and 'radicalisation,' out of which the RAT was developed. A detailed overview of RAT and a pilot case study experiment to highlight the practical value and utility of this neurocognitive Risk Assessment Toolbox. Preliminary research findings of a study conducted with a sample of recognized experts (academics and practitioners) in several countries around the world, to fine tune and validate the risk parameters of the two components that constitute RAT (Risk Assessment Toolbox). The current stage of development of RAT as a practitioner-based system for the early detection of potentially violent extremists as well as its strateg...
Lanier Watkins Resource Discovery: Using Network Traffic To Infer CPU And Memory Load Lanier Watkins Resource Discovery: Using Network Traffic To Infer CPU And Memory Load Новинка

Lanier Watkins Resource Discovery: Using Network Traffic To Infer CPU And Memory Load

4358 руб.
We argue that the network is actually an extension of the system unit; therefore we should be able to use network traffic generated by a node to ascertain the state of its various internal components. We demonstrate that this approach is feasible for passive resource discovery, and is also applicable to a variety of other resource characterization applications such as remote monitoring, and network intrusion detection.
K. Shaila and K. R. Venugopal Secure Data Communication in Wireless Sensor Networks K. Shaila and K. R. Venugopal Secure Data Communication in Wireless Sensor Networks Новинка

K. Shaila and K. R. Venugopal Secure Data Communication in Wireless Sensor Networks

4437 руб.
Wireless Sensor Networks(WSNs) are composed of inexpensive, low powered microsensor nodes capable of sensing, processing and communicating with limited computational, low bandwidth and resources. WSNs are infra-structureless networks where the topology is based on the Type of Sink, number of hops, types of nodes and type of scheduling. The sensor nodes self-organize themselves dynamically to form a network and communications between nodes are established through broadcasting using radio signals. Research issues include connectivity, coverage, QoS, energy consumption, security and mobility of nodes. WSNs are more vulnerable to attacks. Hence, achieving security is an important research issue in WSNs. The three key issues to achieve security in WSNs are:Key Management, Secure Routing and Prevention of DoS. Two cross layer services includes Key Management and Intrusion Detection. We have achieved data confidentiality, integrity, freshness using data aggregation via data fusion, key management, Resilience against node capture, Secure Routing based on Link Strength value, intrusion detection using less number of nodes and anonymity trust management schemes.
Faryal Amber Vision Based Sign Language Identification System Using Facet Analysis Faryal Amber Vision Based Sign Language Identification System Using Facet Analysis Новинка

Faryal Amber Vision Based Sign Language Identification System Using Facet Analysis

4477 руб.
Bachelor Thesis from the year 2013 in the subject Computer Science - Software, grade: A+, , language: English, abstract: The communication gap between the deaf and hearing population is clearly noticed. To make possible the communication between the Deaf and the hearing population and to overpass the gap in access to next generation Human Computer Interfaces, automated sign language analysis is highly crucial. Conversely, an enhanced solution is to build up a conversion system that translates a sign language gestures to text or speech. Exploration and experimentation of an efficient methodology based on facet features analysis. For a recognition system that can recognize gestures from video which can be used as a translation, A methodology has been proposed that extracts candidate hand gestures from sequence of video frames and collect hand features. The system has three separate parts namely: Hand Detection, Shape Matching and Hu moments comparison. The Hand Detection section detects hand through skin detection and by finding contours. It also includes processing of video frames. The procedure of shape matching is attained by comparing the histograms. The values of Hu moments of candidate hand region is identified using contour region analysis and compared to run matches and identify the particular sign language alphabet. Experimental analysis supports the efficiency of the proposed methodology on benchmark data.
Sheikh Rafik Manihar Ahmed Shahjada,Ekta Shrivastava and Komal Prasad Dewangan Fault detection & isolation unit Sheikh Rafik Manihar Ahmed Shahjada,Ekta Shrivastava and Komal Prasad Dewangan Fault detection & isolation unit Новинка

Sheikh Rafik Manihar Ahmed Shahjada,Ekta Shrivastava and Komal Prasad Dewangan Fault detection & isolation unit

5473 руб.
Today all instrumentation system pertaining to industrial process controls as well as domestic application involve automatic fault finding facility. This facility detects the faulty condition of the system and draws operator’s attention towards it enabling him to take suitable remedial action to ensure proper operation of the system. The main purpose of all FDI method is to monitor the system operations and in case of faults accommodate the source of faults so that timely corrective actions are taken.Fault detection and isolation consists basic building blocks that support such systems through the development of fault diagnostic methods, intelligent systems based approaches and sensor based machine monitoring system architecture, embedded and distributed. The protection system relays and auxiliary relays also provided signals to alarm and annunciation system. A set of annunciation windows are provided on control panels for each fault clearing relay with accept, test and reset facility through push buttons. Alarm and trip annunciation indicate the fault and advise operating personnel of the changed operating conditions.
Thomas Elmer Sunshine. The Intrusion: A Novel Thomas Elmer Sunshine. The Intrusion: A Novel Новинка

Thomas Elmer Sunshine. The Intrusion: A Novel

2252 руб.
Книга "Sunshine. The Intrusion: A Novel".
R. Marlaan Rush The Honeypot Chronicles R. Marlaan Rush The Honeypot Chronicles Новинка

R. Marlaan Rush The Honeypot Chronicles

1389 руб.
The Honeypot Chronicles is a collection of sex, stories of uninhibited lust and desire that will do more than just stimulate your senses. The characters could be anyone-your favorite cashier at the grocery store, your seemingly shy neighbor, or maybe the coworker who sits in the cubicle next to you. Indulge in their fantasies. Savor the sweetness men and women alike seek from the pleasurable little place tucked away between a set of thighs. Get your hands and other things sticky within The Honeypot.
Xuanwen Luo and Ming Dong Distributed Fault-Tolerant Detection in Wireless Sensor Networks Xuanwen Luo and Ming Dong Distributed Fault-Tolerant Detection in Wireless Sensor Networks Новинка

Xuanwen Luo and Ming Dong Distributed Fault-Tolerant Detection in Wireless Sensor Networks

2374 руб.
Event detection, boundary detection, and faulty sensor detection are important research topics in wireless sensor networks. Finite power supplies and limited communication bandwidth within wireless sensor networks mean applications must use these resources efficiently. With that in mind, this book presents the concept of using minimal neighbor sensors in the detection process. This concept can be used when deploy sensors strategically in building sensor networks. Reliability of small sensors is questionable, especially when the sensors are deployed in harsh environments. This book will explore the ways to improve detection accuracy by incorporating sensor reliability explicitly in the fault-tolerant detection process. An adaptive detection system is also presented for event boundary detention. Finally, a hypothesis testing method is used for faulty sensor detection.
Ying Tan Artificial Immune System. Applications in Computer Security Ying Tan Artificial Immune System. Applications in Computer Security Новинка

Ying Tan Artificial Immune System. Applications in Computer Security

8067.28 руб.
This book deals with malware detection in terms of Artificial Immune System (AIS), and presents a number of AIS models and immune-based feature extraction approaches as well as their applications in computer security Covers all of the current achievements in computer security based on immune principles, which were obtained by the Computational Intelligence Laboratory of Peking University, China Includes state-of-the-art information on designing and developing artificial immune systems (AIS) and AIS-based solutions to computer security issues Presents new concepts such as immune danger theory, immune concentration, and class-wise information gain (CIG)
Manoj S. Nagmode Video Surveillance Systems Manoj S. Nagmode Video Surveillance Systems Новинка

Manoj S. Nagmode Video Surveillance Systems

5707 руб.
In this book Dr. Manoj S. Nagmode gives the approach for solving the problems of video surveillance systems. Introductory chapters provide the background needed for a solid understanding of the surveillance based system. This book is written to be used for the Researchers, to develop the new algorithms for improving the performance in terms of processing time and detection rate. In addition, extensive references give more resources to help in developing video surveillance based applications
Ishan Girdhar, Dhruv Shah Kali Linux Intrusion and Exploitation Cookbook Ishan Girdhar, Dhruv Shah Kali Linux Intrusion and Exploitation Cookbook Новинка

Ishan Girdhar, Dhruv Shah Kali Linux Intrusion and Exploitation Cookbook

5752 руб.
Книга "Kali Linux Intrusion and Exploitation Cookbook".
Oscar de la Renta Intrusion Туалетная вода 100 мл Oscar de la Renta Intrusion Туалетная вода 100 мл Новинка

Oscar de la Renta Intrusion Туалетная вода 100 мл

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Невероятно гармоничное сочетание чувственности и смелости, женственности и решительности в аромате «Intrusion». Все самое лучшее - только для вас, неповторимой, непревзойденной, очаровательной. Искрящиеся оттенки аниса, бергамота и нероли переходят в насыщенные роскошные ноты жасмина, гардении и лилии, которые преобразуются в таинственный шлейф из аромата амбры, мускуса и пачули.
Mohammad Zomorrodi Advanced Chipless RFID. MIMO-Based Imaging at 60 GHz - ML Detection Mohammad Zomorrodi Advanced Chipless RFID. MIMO-Based Imaging at 60 GHz - ML Detection Новинка

Mohammad Zomorrodi Advanced Chipless RFID. MIMO-Based Imaging at 60 GHz - ML Detection

9603.03 руб.
Introduces advanced high-capacity data encoding and throughput improvement techniques for fully printable multi-bit Chipless RFID tags and reader systems The book proposes new approaches to chipless RFID tag encoding and tag detection that supersede their predecessors in signal processing, tag design, and reader architectures. The text is divided into two main sections: the first section introduces the fundamentals of electromagnetic (EM) imaging at mm-wave band to enhance the content capacity of Chipless RFID systems. The EM Imaging through Synthetic Aperture Radar (SAR) technique is used for data extraction. The second section presents a few smart tag detection techniques for existing chipless RFID systems. A Multiple-Input and Multiple-Output (MIMO) based tag detection technique improves the spectral efficiency and increases data bit capacity. The book concludes with a discussion of how the MIMO approach can be combined with the image based technique to introduce a complete solution with a fast imaging approach to chipless RFID systems. The book has the following salient features: Discusses new approaches to chipless RFID tags such as EM imaging, high capacity data encoding, and robust tag detection techniques Presents techniques to enhance data content capacity of tags and reliable tag detection for the readers at unlicensed microwave and mm-wave 2.45, 24 and 60 GHz instrumentation, scientific and medical (ISM) frequency bands Includes case studies of real-world applications
Li Shaomin Li Managing International Business in Relation-Based Versus Rule-Based Countries Li Shaomin Li Managing International Business in Relation-Based Versus Rule-Based Countries Новинка

Li Shaomin Li Managing International Business in Relation-Based Versus Rule-Based Countries

4527 руб.
Most executives and business students are familiar with how the rule-based system functions; few understand how relation-based system works (which accounts for the majority of the countries in the world). Many dismiss it as backwards and attribute it to cultural traditions and norms (such as the Chinese guanxi tradition). This book dispels these myths and shows that people rely on the relation-based system not owing to specific cultural factors, but because of the stage of development in these countries. When the market is limited in scale and informal networks are thick, the relation-based system can be quite effective and efficient. The author applies this line of thinking to explain why business practices differ and how business people should interact across the two governance systems.
Oscar de la Renta Intrusion Туалетные духи 100 мл Oscar de la Renta Intrusion Туалетные духи 100 мл Новинка

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3708 руб.
Невероятно гармоничное сочетание чувственности и смелости, женственности и решительности в аромате «Intrusion». Все самое лучшее - только для вас, неповторимой, непревзойденной, очаровательной. Искрящиеся оттенки аниса, бергамота и нероли переходят в насыщенные роскошные ноты жасмина, гардении и лилии, которые преобразуются в таинственный шлейф из аромата амбры, мускуса и пачули.
Bert Popping Molecular Biological and Immunological Techniques and Applications for Food Chemists Bert Popping Molecular Biological and Immunological Techniques and Applications for Food Chemists Новинка

Bert Popping Molecular Biological and Immunological Techniques and Applications for Food Chemists

12292.61 руб.
A guide to using molecular biology and immunological methods for the analysis of food Many of the analytical problems that food chemists face in the lab cannot be solved by chemistry alone, and so analytical chemists are turning to molecular biology and immunology for alternative approaches. Molecular Biological and Immunological Techniques and Applications for Food Chemists comprehensively explains the most important molecular biology and immunology methods, and illustrates their application in food analysis. Written by a distinguished group of experts, the coverage includes: Molecular Biological Methods—techniques explained, laboratory layout, PCR, real-time PCR, RFLP, SSCP, and sequencing Molecular Biology Applications—meat, genetically modified organisms (GMOs), food allergens, offal, and fish Immunological Methods—techniques explained and antibody-based detection methods Immunology Applications—animal speciation, international food allergen regulations (except Japanese), Japanese regulations and buckwheat allergen detection, egg allergen detection, soy allergen detection, milk allergen detection, gluten allergen detection, nut allergen detection, fish allergen detection, lupin allergen detection, mustard allergen detection, and celery allergen detection Clearly written and consistently edited to provide information to a wide range of readers, Molecular Biological and Immunological Techniques and Applications for Food Chemists offers an up-to-date reference for food scientists in government and industry, policymakers, and graduate-level students of food science, technology, and engineering. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Vincent Savaux MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems Vincent Savaux MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems Новинка

Vincent Savaux MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems

5608.03 руб.
This book presents an algorithm for the detection of an orthogonal frequency division multiplexing (OFDM) signal in a cognitive radio context by means of a joint and iterative channel and noise estimation technique. Based on the minimum mean square criterion, it performs an accurate detection of a user in a frequency band, by achieving a quasi-optimal channel and noise variance estimation if the signal is present, and by estimating the noise level in the band if the signal is absent. Organized into three chapters, the first chapter provides the background against which the system model is presented, as well as some basics concerning the channel statistics and the transmission of an OFDM signal over a multipath channel. In Chapter 2, the proposed iterative algorithm for the noise variance and the channel estimation is detailed, and in Chapter 3, an application of the algorithm for the free-band detection is proposed. In both Chapters 2 and 3, the principle of the algorithm is presented in a simple way, and more elaborate developments are also provided. The different assumptions and assertions in the developments and the performance of the proposed method are validated through simulations, and compared to methods of the scientific literature
Shome Subhankar, Bera Rabindra Nath, Sur Samarendra Nath Spread Spectrum Radar based Doppler Extraction using 2P-Power Method Shome Subhankar, Bera Rabindra Nath, Sur Samarendra Nath Spread Spectrum Radar based Doppler Extraction using 2P-Power Method Новинка

Shome Subhankar, Bera Rabindra Nath, Sur Samarendra Nath Spread Spectrum Radar based Doppler Extraction using 2P-Power Method

6027 руб.
In this book we discuss a Spread Spectrum based radar system for car detection in the road and autonomous guidance of vehicles. Basically we have proposed a set of algorithms which lead to the solution of road and vehicle collision using carrier recovery method. One of the proposed techniques is spread spectrum which can improve the reliability of automotive radars. Along with the Radar technologies, we have proposed another algorithm to extract the moving object Doppler frequency using 2P-Power method. This Doppler frequency will help us to get information about the velocity of the vehicle on the road. This SS technology along with the Doppler recovery method adds an additional advantage to our Radar for Intelligent transport system in near future.
Subhashis Das and Biswanath Dutta Ontology-based Support for Brain Tumour Study Subhashis Das and Biswanath Dutta Ontology-based Support for Brain Tumour Study Новинка

Subhashis Das and Biswanath Dutta Ontology-based Support for Brain Tumour Study

3167 руб.
For the diagnosis and detection of brain tumour, as well as to aid the medical practitioners in the investigation of the same, the need of a computer based diagnosis system proves to be helpful. This book is specifically designed to represent the ontological relationship based on particular domain of brain tumour for its improved detection and as a tool for better help to the medical practitioner for their practice in the particular field. Brain Tumour is one of the most deadly diseases, often affecting children and overall has a poor prognosis. Due to marketed resistance to radiation and chemotherapy, the prognosis for patients with Glioblastomas is very poor. This book presents a semantic approach to develop an Information retrieval system to support new medical practitioner. Our intention is to help new professional and clinical guidelines. In this book we discuss the ontology building process using Protégé 4.2 ontology editor and other details. In sum, the book will serve as a guideline for self-study or reference of the subject.
Jean-Louis Boulanger Safety Management of Software-based Equipment Jean-Louis Boulanger Safety Management of Software-based Equipment Новинка

Jean-Louis Boulanger Safety Management of Software-based Equipment

7755.32 руб.
A review of the principles of the safety of software-based equipment, this book begins by presenting the definition principles of safety objectives. It then moves on to show how it is possible to define a safety architecture (including redundancy, diversification, error-detection techniques) on the basis of safety objectives and how to identify objectives related to software programs. From software objectives, the authors present the different safety techniques (fault detection, redundancy and quality control). “Certifiable system” aspects are taken into account throughout the book. Contents 1. Safety Management. 2. From System to Software. 3. Certifiable Systems. 4. Risk and Safety Levels. 5. Principles of Hardware Safety. 6. Principles of Software Safety. 7. Certification. About the Authors Jean-Louis Boulanger is currently an Independent Safety Assessor (ISA) in the railway domain focusing on software elements. He is a specialist in the software engineering domain (requirement engineering, semi-formal and formal method, proof and model-checking). He also works as an expert for the French notified body CERTIFER in the field of certification of safety critical railway applications based on software (ERTMS, SCADA, automatic subway, etc.). His research interests include requirements, software verification and validation, traceability and RAMS with a special focus on SAFETY.
Peifang Guo and Prabir Bhattacharya A Model Based Framework for Object Detection via Data Transformation Peifang Guo and Prabir Bhattacharya A Model Based Framework for Object Detection via Data Transformation Новинка

Peifang Guo and Prabir Bhattacharya A Model Based Framework for Object Detection via Data Transformation

3167 руб.
The dynamic synthesis of nonlinear feature functions is a challenging problem in object detection. This book presents a combinatorial approach of genetic programming and the expectation maximization algorithm (GP-EM) to synthesize nonlinear feature functions automatically for the purpose of object detection. The EM algorithm investigates the use of Gaussian mixture which is able to model the behaviour of the training samples during an optimal GP search strategy. Based on the Gaussian probability assumption, the GP-EM method is capable of performing simultaneously dynamic feature synthesis and model-based generalization. The EM part of the approach leads to the application of the maximum likelihood (ML) operation which provides protection against inter-cluster data separation and thus exhibits improved convergence. The experimental results show that the approach improves the detection accuracy and efficiency of pattern object discovery, as compared to some state-of-the-art methods for object detection existing in the literature.
Onur Dogu Design of a Multi-Agent System for Process Monitoring and Supervision Onur Dogu Design of a Multi-Agent System for Process Monitoring and Supervision Новинка

Onur Dogu Design of a Multi-Agent System for Process Monitoring and Supervision

5707 руб.
New process monitoring and control strategies are developing every day together with process automation strategies to satisfy the needs of diverse industries. Fault detection and diagnosis are some of the new and promising growth areas in process control. With the help of the development of powerful computer systems, the extensive amount of process data from all over the plant can be put to use in an efficient manner by storing and manipulation. With this development, data-driven process monitoring approaches had the chance to emerge compared to model-based approaches. Therefore, the objective of this research is to layout the basis for designing and implementing a multi-agent system for process monitoring and supervision. The agent-based programming approach adopted in the research provides a number of advantages, such as, flexibility, adaptation and ease of use. The designed multi-agent system allows: a) easy manipulation and preprocessing of plant data both for training and online application; b) detection of process faults; and c) diagnosis of the source of the fault.
Atti Ur Rehman and Muhammad Asif Spectrum Sensing Techniques: Comparative Analysis Atti Ur Rehman and Muhammad Asif Spectrum Sensing Techniques: Comparative Analysis Новинка

Atti Ur Rehman and Muhammad Asif Spectrum Sensing Techniques: Comparative Analysis

2890 руб.
In order to efficiently utilize the spectrum, the role of spectrum sensing is essential in cognitive radio networks. The transmitter detection based techniques: energy detection, cyclostationary feature detection, and matched filter detection, is most commonly used for the spectrum sensing. The Energy detection technique is implemented in the 2-hop cooperative cognitive radio network. OSTBC is used for transmission of data in the 2-hop network. The Energy detection technique is simplest and gives good results at the higher Signal to Noise Ratio (SNR) values. However, at the low SNR values its performance degrades. Moreover, each transmitter detection technique has a SNR threshold, below which it fails to work robustly. This book aims to find the most reliable and accurate spectrum sensing technique in the 2-hop cooperative cognitive radio network. Using Matlab simulations, a comparative analysis of three transmitter detection techniques has been made in terms of higher probability of detection. In order to remove the shortcomings faced by all the three techniques a Fuzzy Combined Logic sensing approach is implemented and compared with Transmitter detection techniques.
Md. Eaqub Ali,Rasel Das and Uda Hashim Nanoparticle Sensor to Detect and Quantify Pig DNA in Processed Foods Md. Eaqub Ali,Rasel Das and Uda Hashim Nanoparticle Sensor to Detect and Quantify Pig DNA in Processed Foods Новинка

Md. Eaqub Ali,Rasel Das and Uda Hashim Nanoparticle Sensor to Detect and Quantify Pig DNA in Processed Foods

6673 руб.
Verification of declared components in food products is essential to ensure transparency in food labeling and safeguard consumers’ trusts, religious faiths, health, and hard earned fortunes. Conventional methods based on PCR-based DNA analysis has reached a ceiling stage and has limitations in detecting short-length DNA markers which survive in harsh conditions. PCR-based methods are also expensive and need product authentication to eliminate ambiguity. DNA detection using gold nanoparticles (GNPs) is very promising because it does not need any complex and expensive instrumentations and allows rapid and reliable detection of very short-length (15-30 bp) DNA markers. We reported here two types of GNP-based biosensors: (1) Colorimetric sensor allowed visual detection of PCR amplified and non-amplified pig DNA markers within 10 min. The visually determined results was verified by absorption spectroscopy with a detection limit (DL) of 4 ng µL-1. (2) The hybrid nanobioprobe which composed of fluorophore labeled DNA marker and GNP, simultaneously detected and quantified pig DNA targets within 60 min with a DL 0.42 ng µL-1.
Andreas Böhler Collimator-Based Tracking with an Add-On Multileaf Collimator. Modification of a commercial collimator system for realtime applications Andreas Böhler Collimator-Based Tracking with an Add-On Multileaf Collimator. Modification of a commercial collimator system for realtime applications Новинка

Andreas Böhler Collimator-Based Tracking with an Add-On Multileaf Collimator. Modification of a commercial collimator system for realtime applications

6764 руб.
Книга "Collimator-Based Tracking with an Add-On Multileaf Collimator. Modification of a commercial collimator system for realtime applications".
BSW MOM and EdD Acene Fleurmons Bell-Shape Testing System. Testing the Students Based on Simple and Complex Teachings Related to Bloom's Taxonomy of Educational Objectives BSW MOM and EdD Acene Fleurmons Bell-Shape Testing System. Testing the Students Based on Simple and Complex Teachings Related to Bloom's Taxonomy of Educational Objectives Новинка

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2352 руб.
Книга "Bell-Shape Testing System. Testing the Students Based on Simple and Complex Teachings Related to Bloom's Taxonomy of Educational Objectives".
Zhengyou He Wavelet Analysis and Transient Signal Processing Applications for Power Systems Zhengyou He Wavelet Analysis and Transient Signal Processing Applications for Power Systems Новинка

Zhengyou He Wavelet Analysis and Transient Signal Processing Applications for Power Systems

9987.88 руб.
An original reference applying wavelet analysis to power systems engineering • Introduces a modern signal processing method called wavelet analysis, and more importantly, its applications to power system fault detection and protection • Concentrates on its application to the power system, offering great potential for fault detection and protection • Presents applications, examples, and case studies, together with the latest research findings • Provides a combination of the author’s tutorial notes from electrical engineering courses together with his own original research work, of interest to both industry and academia
Mingcong Deng Operator-Based Nonlinear Control Systems Design and Applications Mingcong Deng Operator-Based Nonlinear Control Systems Design and Applications Новинка

Mingcong Deng Operator-Based Nonlinear Control Systems Design and Applications

9829.72 руб.
Enables readers to master and apply the operator-theoretic approach Control of nonlinear systems is a multidisciplinary field involving electrical engineering, computer science, and control engineering. Specifically, this book addresses uncertain nonlinearity. Beginning with how real plants are modeled as operator-based plants, the author develops a systematic methodology that enables readers to understand a quantitative stability result, a critical factor in any nonlinear control system's stability and performance. Operator-Based Nonlinear Control Systems: Design and Applications focuses on the operator-theoretic approach, offering detailed examples on how to apply it to network controlled systems. In addition to current research results, the author explores future research directions and applications of the operator-theoretic approach. The book begins with an introduction that defines nonlinear systems. Next, it covers: Robust right coprime factorization for nonlinear plants with uncertainties Robust stability of operator-based nonlinear control systems Tracking issues and fault detection issues in nonlinear control systems Operator-based nonlinear control systems with smart actuators Nonlinear feedback control for large-scale systems using a distributed control system device Throughout the book, discussions of actual applications help readers understand how the operator-theoretic approach works in practice. Operator-Based Nonlinear Control Systems is recommended for students and professionals in control theory engineering and applied mathematics. Working with this expertly written and organized book, they will learn how to obtain robust right coprime factorization for modeled plants. Moreover, they will discover state-of-the-technology research results on robust stability conditions as well as the latest system output tracking and fault detection issues that are challenging today's researchers.
Sonu Gandhi Antibody based biosensor for the detection of opiate drugs Sonu Gandhi Antibody based biosensor for the detection of opiate drugs Новинка

Sonu Gandhi Antibody based biosensor for the detection of opiate drugs

6359 руб.
Heroine is synthetic derivative of morphine, a naturally occurring substance extracted from unripe seeds or capsules of Papaver somniferum (poppy plant). The use of heroine and morphine as a recreational drug has reached epidemic proportion, largely because of increased availability. The currently used techniques for the detection of opiate drugs are time consuming, expensive and not amenable to on-site application. This book describes about development of a highly sensitive, fast, reliable, field applicable and cost effective immunoassay/ immunobiosensor for the detection of opiate drugs: morphine and heroin, the most addictive and commonly abused narcotics. Various types of immunoassay are described in this book using enzyme, fluorophore, carbon nanotubes, gold nanoparticles and phage display detection which shows detection limit in the ppb range without the aid of any sophisticated instrument.
Fabrice Muhire Land Tenure System On Natural Resources Fabrice Muhire Land Tenure System On Natural Resources Новинка

Fabrice Muhire Land Tenure System On Natural Resources

3944 руб.
This study took place in Rwanda,Southern province,Ruhango District and it revealed the end results of land tenure system on physical environment,economic environment,and social environment. In old land tenure system,management is based on customary laws with negative implications like land fragmentation,deforestation,and soil degradation.The contemporary land tenure system is based on land administration information system with positive implications like protection and conservation of natural resources,Dispute resolution as well as poverty reduction.
Nureddin Abulgasem,Dzulkifli Mohamad and Siti Zaiton Hashim Libyan vehicle license plate detection and recognition using RBF Nureddin Abulgasem,Dzulkifli Mohamad and Siti Zaiton Hashim Libyan vehicle license plate detection and recognition using RBF Новинка

Nureddin Abulgasem,Dzulkifli Mohamad and Siti Zaiton Hashim Libyan vehicle license plate detection and recognition using RBF

4500 руб.
An integrated vehicle plate detection and recognition system generally aims to detect the license plate (LP) and recognize its characters. The process basically includes LP detection, LP extraction, character segmentation, feature extraction and recognition. Due to its wide range of applications such as traffic management, security etc., and this topic is intensively researched especially in the field of image processing. Furthermore, the differences in systems, colours, backgrounds, foregrounds, font and style of the license plates from one country to another add more problems and challenges for new researches. Thus, this book presents an integrated approach for detecting and recognizing Libyan license plates based on Radial Basis Function Neural Network (RBFNN). The method begins with the preprocessing of the image using edge detection and morphological operations. In the detection stage, connected component analysis is used to locate unique objects. In the recognition process, for character segmentation, a simple template is derived to extract and differentiate digits and Arabic words. Finally,in the classification process, RBFNN is used to recognize an individual character.
Bruno Verschuere Detecting Deception. Current Challenges and Cognitive Approaches Bruno Verschuere Detecting Deception. Current Challenges and Cognitive Approaches Новинка

Bruno Verschuere Detecting Deception. Current Challenges and Cognitive Approaches

9138.74 руб.
Detecting Deception offers a state-of-the-art guide to the detection of deception with a focus on the ways in which new cognitive psychology-based approaches can improve practice and results in the field. Includes comprehensive coverage of the latest scientific developments in the detection of deception and their implications for real-world practice Examines current challenges in the field – such as counter-interrogation strategies, lying networks, cross-cultural deception, and discriminating between true and false intentions Reveals a host of new approaches based on cognitive psychology with the potential to improve practice and results, including the strategic use of evidence, imposing cognitive load, response times, and covert lie detection Features contributions from internationally renowned experts

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Enables readers to master and apply the operator-theoretic approach Control of nonlinear systems is a multidisciplinary field involving electrical engineering, computer science, and control engineering. Specifically, this book addresses uncertain nonlinearity. Beginning with how real plants are modeled as operator-based plants, the author develops a systematic methodology that enables readers to understand a quantitative stability result, a critical factor in any nonlinear control system's stability and performance. Operator-Based Nonlinear Control Systems: Design and Applications focuses on the operator-theoretic approach, offering detailed examples on how to apply it to network controlled systems. In addition to current research results, the author explores future research directions and applications of the operator-theoretic approach. The book begins with an introduction that defines nonlinear systems. Next, it covers: Robust right coprime factorization for nonlinear plants with uncertainties Robust stability of operator-based nonlinear control systems Tracking issues and fault detection issues in nonlinear control systems Operator-based nonlinear control systems with smart actuators Nonlinear feedback control for large-scale systems using a distributed control system device Throughout the book, discussions of actual applications help readers understand how the operator-theoretic approach works in practice. Operator-Based Nonlinear Control Systems is recommended for students and professionals in control theory engineering and applied mathematics. Working with this expertly written and organized book, they will learn how to obtain robust right coprime factorization for modeled plants. Moreover, they will discover state-of-the-technology research results on robust stability conditions as well as the latest system output tracking and fault detection issues that are challenging today's researchers.
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