Error detection in Data comunication
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This document summarizes various techniques for error detection in networking. It discusses single-bit errors versus burst errors and how redundancy is used to detect errors by adding extra bits. Specific techniques covered include block coding, parity checking, longitudinal redundancy check (LRC), cyclic redundancy check (CRC), and checksums. Examples are provided to illustrate how parity checking, LRC, CRC, and checksums work to detect errors in transmitted data.
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By the end of this Machine Learning course, you will be able to:
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2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
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4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
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1. Developers aspiring to be a data scientist or Machine Learning engineer
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3. Analytics professionals who want to work in Machine Learning or artificial intelligence
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Multiagent Based Methodologies have become an
important subject of research in advance Software Engineering.
Several methodologies have been proposed as, a theoretical
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distributed systems. An important question when facing the
construction of Agent Applications is deciding which
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This paper aims to identify Key determinants for
successful Project Implementation in the state of West Bengal
with special focus in the Durgapur Industrial area. The research
is motivated by the fact that of late there has been limited success
in Project Implementation in West Bengal which had earlier been
very successful in large scale project Implementation. Project
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PERFORMANCE COMPARISON OF AODV AND DSDV ROUTING PROTOCOLS IN WIRELESS AD HOC ...
PERFORMANCE COMPARISON OF AODV AND DSDV ROUTING PROTOCOLS IN WIRELESS AD HOC ...International Journal of Technical Research & Application
Change is the only thing which is constant in this
today’s era. Constant technology updates demand building up
and falling down of infrastructure along with cost involvement.
Today there is a need of adaptive infrastructure called Ad hoc
network.
Ad hoc network is a collection of two or more nodes with
wireless communication having network capability that they can
communicate without centralized manner. So, at any time host
devices may act as a router or as a node. Ad hoc networks can be
erected as wireless technology, comprising of Radio Frequency
(RF) and infrared frequency.
Wireless Ad hoc network is Temporary, Infrastructure less,
Decentralized, self-organized packet switched network. In this
network topology changes dynamically which can results change
in link failure or broken. In this paper we evaluate the
performance parameters like Throughput, End-to-End Delay and
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FERRITIC AS A POTENT MARKER OF BREST CANCERInternational Journal of Technical Research & Application
Background and objectives: Iron is one of the major component
of hemoglobin, is required for transport of oxygen, ferritin is a
protein for storage iron, and transferring is a protein for iron
transport, all these it may be change in breast cancer.
The aim of present study was to measure the serum ferritin, iron,
total iron binding capacity, transferring, and C-reactive protein
concentration in breast tumors.
Material and method: A prospective study was carried out from
April 2013 to August 2014 by clinical biochemistry department in
College of Pharmacy-University of Sulaimani on (45) healthy
female individuals, (group 1) and (50) females with breast tumor
(group 2).
Results: The mean value of serum iron, transferring, total iron
binding capacity were significantly lower in females with breast
tumors (group 2), than that of healthy female individuals, (group
1), while serum ferritin was significantly higher in females with
breast tumors (group2), than that of healthy individuals (group
1).
Conclusion: Based on findings of the present study it can be
concluded that breast tumors can cause deficient of all iron
profile except ferritin will be increase in female breast cancers.
Key words- Serum iron, S.Ferritin, S. Total iron binding, S.
Transferrin, S.C-Reactive protein, breast tumors.Sufiyan_CV_Upated- DEC- 2014
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Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting
ACEP Magazine edition 4th launched on 05.06.2024
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Understanding Inductive Bias in Machine Learning
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The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
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原版一模一样【微信：741003700 】【美国波士顿大学毕业证学历学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
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8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
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Error detection in Data comunication
- 1. WELCOME
- 2. DETECTION
- 3. Presented By Anika Ohab ID:142-15-3568 Abul Hasnath ID:142-15-3532 Shahinur Rahman ID: 142-15-3606 Umme Habiba ID: 142-15-3677
- 5. ERROR DETECTION In networking, error detection refers to the techniques used to detect noise or other impairments introduced into data while it is transmitted from source to destination. Error detection minimizes the probability of passing incorrect frames to the destination, known as undetected error probability
- 6. Types of Error Error Burst Error Single- Bit Error If the signal is carrying binary encoded data, such changes can alter the meaning of the data. These errors can be divided into two types-
- 7. In a single-bit error, only one bit in the data unit has changed. Note: Single-Bit Error
- 8. A burst error means that 2 or more bits in the data unit have changed. Note: Burst Error
- 9. Error detection uses the concept of redundancy, which means adding extra bits for detecting errors at the destination. Redundancy
- 10. Redundancy
- 11. Popular techniques are: Block Coding Parity Check LONGITUDINAL REDUNDANCY CHECK Cyclic Redundancy Check (CRC) Checksum
- 12. Block coding Data Words Code Wards 00 000 01 011 10 101 11 110 k=2,n=3
- 13. Simple Parity Checking Even Parity:1 is added to the block if it contains an odd number of 1’s and 0 is added if it contains an even number of 1’s.
- 16. Simple parity check can detect all single-bit errors. It can detect burst errors only if the total number of errors in each data unit is odd. Note:
- 17. LONGITUDINAL REDUNDANCY CHECK LRC LRC 10101010 Data plus LRC 11100111 11011101 00111001 10101001 10101001 00111001 11011101 11100111 11100111 11011101 00111001 10101001 10101010
- 18. CRC encoder and decoder
- 19. The last error detection method we discuss here is called the checksum. The checksum is used in the Internet by several protocols although not at the data link layer. However, we briefly discuss it here to complete our discussion on error checking. Checksum
- 20. We can make the job of the receiver easier if we send the negative (complement) of the sum, called the checksum. In this case, we send (7, 11, 12,0,6, -36). The receiver can add all the numbers received (including the checksum). If the result is 0, it assumes no error; otherwise, there is an error. Checksum
- 22. ? ? <