A Steganalytic Scheme Based on Classifier Selection Using Joint Image Characteristics

2020 ◽  
pp. 362-376
Author(s):  
Jie Zhu ◽  
Qingxiao Guan ◽  
Xianfeng Zhao ◽  
Yun Cao ◽  
Gong Chen
Keyword(s):  
Image Size ◽  
Size Quantization ◽  
Classification Techniques ◽  
Appreciable Difference ◽  
Classifier Selection ◽  
Image Characteristics ◽  
Improve Accuracy ◽  
Different Characteristics ◽  
Selection Of

Steganalysis relies on steganalytic features and classification techniques. Because of the complexity and different characteristics of cover images, to make steganalysis more applicable toward detecting stego images in real applications, we need to train different classifiers so as to match different images according to their characteristics. Selection of classifiers according to characteristics of images is the key point to improve accuracy of steganalysis. In our work, we study the methods of classifier selection based on characteristics of images including image size, quantization factor, or matrix. Besides, we also discuss other characteristics, such as texture, cover source, which makes an appreciable difference to steganalysis.

A Steganalytic Scheme Based on Classifier Selection Using Joint Image Characteristics

2017 ◽  
Vol 9 (4) ◽  
pp. 1-14 ◽  
Author(s):  
Jie Zhu ◽  
Qingxiao Guan ◽  
Xianfeng Zhao ◽  
Yun Cao ◽  
Gong Chen
Keyword(s):  
Image Size ◽  
Size Quantization ◽  
Classification Techniques ◽  
Appreciable Difference ◽  
Classifier Selection ◽  
Image Characteristics ◽  
Improve Accuracy ◽  
Different Characteristics ◽  
Selection Of

Steganalysis relies on steganalytic features and classification techniques. Because of the complexity and different characteristics of cover images, to make steganalysis more applicable toward detecting stego images in real applications, we need to train different classifiers so as to match different images according to their characteristics. Selection of classifiers according to characteristics of images is the key point to improve accuracy of steganalysis. In our work, we study the methods of classifier selection based on characteristics of images including image size, quantization factor, or matrix. Besides, we also discuss other characteristics, such as texture, cover source, which makes an appreciable difference to steganalysis.

scholarly journals Identifikasi Karakteristik Citra Berdasarkan pada Nilai Entropi dan Kontras

2021 ◽  
Vol 2 (1) ◽  
pp. 18-23
Author(s):  
Bheta Agus Wardijono ◽  
Lussiana ETP ◽  
Rozi
Keyword(s):  
Edge Detection ◽  
Good Condition ◽  
The Other ◽  
Detection Methods ◽  
Test Results ◽  
Image Size ◽  
Image Region ◽  
Image Characteristics ◽  
Different Characteristics ◽  
Region Size

Abstract Determining the object boundaries in an image is a necessary process, to identify the boundaries of an object with other objects as well as to define an object in the image. The acquired image is not always in good condition, on the other hand there is a lot of noise and blur. Various edge detection methods have been developed by providing noise parameters to reduce noise, and adding a blur parameter but because these parameters apply to the entire image, but lossing some edges due to these parameters. This study aims to identify the characteristics of the image region, whether the region condition is noise, blurry or otherwise sharp (clear). The step is done by dividing the four regions from the image size, then calculating the entropy value and contrast value of each formed region. The test results show that changes in region size can produce different characteristics, this is indicated by entropy and contrast values ​​of each formed region. Thus it can be concluded that entropy and contrast can be used as a way to identify image characteristics, and dividing the image into regions provides more detailed image characteristics.  

An Integrated Fuzzy-Based System for Cluster-Head Selection and Sensor Speed Control in Wireless Sensor Networks

2017 ◽  
Vol 8 (2) ◽  
pp. 1-14
Author(s):  
Miralda Cuka ◽  
Donald Elmazi ◽  
Takaaki Inaba ◽  
Tetsuya Oda ◽  
Makoto Ikeda ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Energy Dissipation ◽  
Cluster Formation ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Cluster Head Selection ◽  
Cluster Centroid ◽  
Different Characteristics ◽  
Selection Of

Cluster formation and cluster head selection are important problems in Wireless Sensor Network (WSN) applications and can drastically affect the network's communication energy dissipation. However, selecting the cluster head is not easy in different environments which may have different characteristics. In order to deal with this problem, in this paper, we implement an integrated fuzzy-based system for controlling sensor speed in WSNs. Different from our previous work, we consider 4 input linguistic parameters: Remaining Power of Sensor (RPS), Degree of Number of Neighbor Nodes (D3N), Distance from Cluster Centroid (DCC) and Sensor Speed (SS) for selection of the cluster-head and the control of sensor speed. By controlling the sensor speed, we are able to predict whether the node will leave or stay in the cluster. We evaluate the proposed system by simulations and show that the system has a good behavior.

The features and development prospects of programs of individual tours

2015 ◽  
Vol 9 (2) ◽  
pp. 57-65
Author(s):  
Екатерина Агамирова ◽  
Ekaterina Agamirova ◽  
Елизавета Агамирова ◽  
Elizaveta Agamirova
Keyword(s):  
Quality Level ◽  
Trip Planning ◽  
Advantages And Disadvantages ◽  
Individual Program ◽  
Formation Programs ◽  
The Moment ◽  
The Individual ◽  
Different Characteristics ◽  
Selection Of

The article deals with the formation programs of individual tours. Based on the selection of specific features of individual tourist programs the authors define individual tourism stating that the main specific features of the individual tour is that the product is developed based on the desires and preferences of a particular tourist. It is shown that the individual tourist product allows meeting the needs of the tourist. Topicality is determined by the characteristics of the tourism market at the moment. The crisis that characterize Russian tourism today force to seek new approaches and new content in tourist activity in order to suggest possible ways to diversify the tourist offer, one of which is the individualization of tourist programs. The article also examines the specifics of individual programs, tours, given comparative characteristics according to different characteristics of mass and individual tourism products. Identified are the main advantages and disadvantages of acquisitions and trip planning of the individual program for tourists. The authors cover the basic steps and principles of formation and promotion of individual tourism products. Revealed is a difference in the sequence of the process of its development over the standard tour. Based on the study of offers of tourist companies categories of the most popular destinations of individual tourism are identified on the basis of which a classification of individual programs is proposed. On the basis of the study in the article suggested are the main characteristics of the different categories of consumers of individual tourism products. The article shows the prospects for the development of individual tourism products in the Russian tourist market. Based on the analysis of the actual supply of tourist services identified are the advantages and disadvantages of individual tours. The necessity of developing specific standards of service is explained. Due to the fact that the individual trip of tourists have special expectations, it is necessary to ensure the highest quality level of service in accordance with the program of travel. Characterized are the features of the technology of individual tourism, which aims to create a unique product.

scholarly journals Selection of Dried and Table Apricots in Nevsehir and Nigde Regions, Turkey

2019 ◽  
Vol 11 (4) ◽  
pp. 428-433
Author(s):  
Veyis YURTKULU ◽  
Ali KÜDEN ◽  
Ayzin B. KÜDEN
Keyword(s):  
Fruit Weight ◽  
Germplasm Resources ◽  
Stone Fruits ◽  
Wide Range ◽  
The World ◽  
Long Time ◽  
Brix Value ◽  
Apricot Tree ◽  
Different Characteristics ◽  
Selection Of

Apricot, for which Turkey is recognized as a top producer and the leading country in the world, is one of the most produced stone fruits in Turkey. For long time ago, apricot has been grown with the nursery plants obtained from the seeds in Nevsehir and Nigde provinces caused a wide range of germplasm resources in this area (Cappadocia area). Each apricot tree shows different characteristics and could be a variety candidate. With this study, phenological and pomological characters of 91 genotypes were determined and among them 15 of the best promising genotypes were given in this paper. Considering the experimented 15 genotypes, 8 genotypes gave higher Brix value (SSC) (27-31%) than ‘Hacihaliloglu’ variety (25-26%) which was the most common dried apricot variety in Turkey. Regarding the fruit weight, which is an important aspect for both dried and table fruits, high valued genotypes were also determined. The fruit weight of 11 genotypes were higher than 50 g with the values between 51.45 g and 84.02 g. As a result of this study, candidates for dried and table apricot genotypes were identified.

scholarly journals SELEKSI ATRIBUT PADA ALGORITMA C4.5 MENGGUNAKAN GENETIK ALGORITMA DAN BAGGING UNTUK ANALISA KELAYAKAN PEMBERIAN KREDIT

2017 ◽  
Vol 4 (2) ◽  
pp. 174
Author(s):  
Saeful Bahri
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
A Value ◽  
Improve Accuracy ◽  
Credit Analysis ◽  
Bagging Method ◽  
Model Algorithm ◽  
Selection Of

<p><em>According to the banking ACT No. 9 of 1992 is the provision of credit or money bills which can dipersama-kan with it, based on the approval of an agreement between the bank pinjam-meminjam with other parties that require that the borrower to pay off a loan after a certain period of time with the giving of flowers. Credit analysis aims to evaluate the customer able to or not in fulfilling obligations. In analyzing the sometimes an analyst is not accurate in analyzing causing bad credit. Of the problems that existed then used a method of classification for an analysis of the feasibility of granting credit using a model algorithm Genetic Algorithm with C4.5 (AG) as a selection of attributes and bagging method to improve accuracy. After testing two models namely algorithm C4.5 and C4.5 with Genetic Algorithms (AG) and the results obtained bagging method is the algorithm C 4.5 produces a value accuracy 93,47% and AUC values 0,932 with excellent levels of Clasification diagnose but after Genetic Algorithm added (AG) and increased accuracy value bagging 2.87% to 96,34% and AUC values increased 0.044 became 0.976</em><em>.</em></p><p><em><strong>Keywords</strong></em><em>: </em><em>Credit, the algorithm C 4.5, Genetic Algorithms (GA), Bagging</em></p><p><em>Menurut UU Perbankan No.9 Tahun 1992 kredit merupakan </em><em>penyediaan uang  atau tagihan yang dapat dipersama-kan dengan itu,  berdasarkan  persetujuan  atau  kesepakatan  pinjam-meminjam  antara  bank  dengan  pihak  lain  yang  mewajibkan  pihak  peminjam  untuk  melunasi  utangnya setelah jangka waktu tertentu dengan pemberian bunga. Analisa kredit bertujuan untuk mengevaluasi nasabah mampu atau tidak dalam memenuhi kewajiban. Dalam menganalisa terkadang seorang analis tidak akurat dalam menganalisa sehingga menyebabkan kredit macet. </em><em>Dari permasalahan yang ada maka digunakan sebuah metode klasifikasi untuk analisis kelayakan pemberian kredit menggunakan model algoritma C4.5 dengan Algoritma Genetika (AG) sebagai seleksi atribut dan metode bagging untuk meningkatkan akurasi. Setelah dilakukan pengujian dua model yaitu algoritma C4.5 dan C4.5 dengan Algoritma Genetika (AG) dan metode bagging hasil yang diperoleh adalah algoritma C4.5 menghasilkan nilai akurasi 93,47 % dan nilai AUC </em><em>0,932 dengan tingkat diagnose excellent Clasification namun setelah ditambahkan Algoritma Genetika(AG) dan bagging nilai akurasi meningkat 2,87% menjadi 96,34 % dan nilai AUC meningkat 0.044 menjadi 0.976</em><em>.</em></p><p><em><strong>Kata kunci</strong></em><em>: </em><em>Kredit, Algoritma C4.5, Algoritma Genetika (AG), Bagging</em></p><p><em><br /></em></p>

scholarly journals Multiple Bandwidth Design of Micro strip Antenna for Future Wireless Communication

2019 ◽  
Vol 8 (2) ◽  
pp. 5135-5138 ◽  
Keyword(s):  
Wireless Communication ◽  
Frequency Band ◽  
Return Loss ◽  
Experimental Results ◽  
Proper Selection ◽  
Maximum Gain ◽  
Different Characteristics ◽  
Selection Of ◽  
Multi Band

We have presented a design of multi-band micro strip antenna which is suitable for operating at a higher frequency and with moderate bandwidth also. Proper selection of dimension, patch, and position of feed is taken into consideration to achieve the target properties of the antenna. Different characteristics of antenna like return loss, VSWR, gain, directivity, and efficiency are verified for different frequencies. The maximum gain of the antenna is found to be more than 3dB at different frequencies and also achieves multiple bandwidths in the direction of max radiation. The proposed structure of the antenna is fabricated, simulated, and tested for obtaining the preferred performance in terms of S11, VSWR, gain and efficiency. The experimental results are verified with simulated results which are in good in accord. Proposed antenna bandwidth is found to be 200MHz to 700 MHz with frequency band from 5.70 GHz to 12.60 GHz.

scholarly journals The Evaluation of Appropriate Selection Learning Media at Junior High School

2021 ◽  
Vol 3 (1) ◽  
pp. 17
Author(s):  
Hamsi Mansur ◽  
Agus Hadi Utama
Keyword(s):  
High Schools ◽  
Learning Style ◽  
Junior High School ◽  
Junior High ◽  
Junior High Schools ◽  
Content Learning ◽  
Local Content ◽  
The Right ◽  
Different Characteristics ◽  
Selection Of

The appropriate selection of learning media can help the process of delivering messages from teachers to students become more effective. The selection of the right learning media requires the use of certain principles and criteria to be precise in choosing a learning medium because each learning medium should have different characteristics and specifications of usefulness. This study aims to conduct a summative evaluation of the appropriate selection of local wetland content learning media in junior high schools (SMP) in Banjarmasin. The appropriate selection of learning media will be evaluated with a summative model are all subjects containing local content of wetlands, such as in science & social subjects found by researchers in junior high schools in Banjarmasin through population methods and samples using purposive random sampling techniques as many as 5 junior high schools in Banjarmasin. Data analysis techniques in the evaluation of summative models are conducted descriptively-qualitatively using principle models and criteria used to evaluate the appropriateness of selection of local content learning media wetlands consisting of four components, namely: conformity with the material, conformity with student characteristics, conformity with the student's learning style, and conformity with supporting facilities. The results showed that the mapping appropriate of the selection of local wetland content learning media in junior high schools in Banjarmasin has met four criteria for appropriate choosing the right learning media with good categories. Recommendations of the results of the study evaluation of the appropriate selection of learning media can be tested in other schools to see the evaluation of the appropriate selection of online or remote learning media during the Covid-19 pandemic.

scholarly journals The Development of Overseas Education in the New Era of China

2020 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Zhuoyuan Zhang ◽  
Huaiyin Hou
Keyword(s):  
Study Abroad ◽  
International Education ◽  
Future Development ◽  
Development Trend ◽  
New Era ◽  
The Future ◽  
Return Home ◽  
Overseas Education ◽  
Different Characteristics ◽  
Selection Of

The development of overseas education in the new era of China can be divided into four stages, each of which has different characteristics. The achievements of the development of China’s overseas education are as following: first, persisting in the overall idea of “supporting study abroad, encouraging return home and freedom of coming and going”; second, the number of students of overseas education keeps rising; third, the selection of overseas education is gradually diversified. The future development trend of overseas education is shown as: the return boom is in the ascendant; the “domestic overseas education” is gradually developing; and China’s international education ushers in the climax.

scholarly journals THE S2-ENSEMBLE FUSION ALGORITHM

2011 ◽  
Vol 21 (06) ◽  
pp. 505-525 ◽  
Author(s):  
BRUNO BARUQUE ◽  
EMILIO CORCHADO ◽  
HUJUN YIN
Keyword(s):  
Supervised Learning ◽  
Complete Analysis ◽  
Fusion Algorithm ◽  
Self Organizing Maps ◽  
The Family ◽  
Real World Datasets ◽  
Different Characteristics ◽  
Novel Model ◽  
New Algorithms ◽  
Selection Of

This paper presents a novel model for performing classification and visualization of high-dimensional data by means of combining two enhancing techniques. The first is a semi-supervised learning, an extension of the supervised learning used to incorporate unlabeled information to the learning process. The second is an ensemble learning to replicate the analysis performed, followed by a fusion mechanism that yields as a combined result of previously performed analysis in order to improve the result of a single model. The proposed learning schema, termed S 2-Ensemble, is applied to several unsupervised learning algorithms within the family of topology maps, such as the Self-Organizing Maps and the Neural Gas. This study also includes a thorough research of the characteristics of these novel schemes, by means quality measures, which allow a complete analysis of the resultant classifiers from the viewpoint of various perspectives over the different ways that these classifiers are used. The study conducts empirical evaluations and comparisons on various real-world datasets from the UCI repository, which exhibit different characteristics, so to enable an extensive selection of situations where the presented new algorithms can be applied.

Sign in / Sign up

Export Citation Format

Share Document