Call for Papers - International Journal of Information Sciences and Techniques (IJIST)

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The International Journal of Information Science & Techniques (IJIST) focuses on information systems science and technology coercing multitude applications of information systems in business administration, social science, biosciences, and humanities education, library sciences management, depiction of data and structural illustration, big data analytics, information economics in real engineering and scientific problems. This journal provides a forum that impacts the development of engineering, education, technology management, information theories and application validation. It also acts as a path to exchange novel and innovative ideas about Information systems science and technology.

Engineering

International Journal of Information
Sciences and Techniques (IJIST)
ISSN: 2249 - 1139 [Online]; 2319 - 409X [Print]
https://airccse.org/journal/IS/index.html

Scope & Topics
The International Journal of Information Science & Techniques (IJIST) focuses on
information systems science and technology coercing multitude applications of
information systems in business administration, social science, biosciences, and
humanities education, library sciences management, depiction of data and structural
illustration, big data analytics, information economics in real engineering and scientific
problems.
This journal provides a forum that impacts the development of engineering, education,
technology management, information theories and application validation. It also acts as a
path to exchange novel and innovative ideas about Information systems science and
technology.
International Journal of Information Sciences
and Techniques (IJIST)
ISSN: 2249 - 1139 [Online]; 2319 - 409X [Print]
https://airccse.org/journal/IS/index.html

Topics of interest include but are not limited to:
 AI and Information Science
 Archives, Preservation and Argumentation
 Business Informatics
 Community Informatics
 Computational Biology & Bio-informatics
 Computational Social Science, Social Computing
 Cultural Informatics and Heritage
 Data Analytics, Curation and Human Centered Data
International Journal of Information Sciences
and Techniques (IJIST)
ISSN: 2249 - 1139 [Online]; 2319 - 409X [Print]
https://airccse.org/journal/IS/index.html

Topics of interest include but are not limited to: (Contd..)
 Design and Evaluation of Information Systems and Services
 Digital Humanities, Libraries
 Diversity and Social Justice
 Economics of information systems
 Education of Information Professionals
 Ethics and Values for Information
 Fairness, accountability, transparency, ethics
 Foundations, History of Information
 Information Access, Literacy, Policy
International Journal of Information Sciences
and Techniques (IJIST)
ISSN: 2249 - 1139 [Online]; 2319 - 409X [Print]
https://airccse.org/journal/IS/index.html

Topics of interest include but are not limited to: (Contd..)
 Information Practices and Behaviors
 Information Retrieval, Visualization
 Information Theory
 Internet Marketing
 Knowledge Representation, Ontology
 Labor Markets Online
 Libraries and Librarians
 Organization of Knowledge and Information
 Social Informatics, Media
International Journal of Information Sciences
and Techniques (IJIST)
ISSN: 2249 - 1139 [Online]; 2319 - 409X [Print]
https://airccse.org/journal/IS/index.html

Paper Submission
Authors are invited to submit papers for this journal through Email:
ijist@aircconline.com or through Submission System. Submissions must
be original and should not have been published previously or be under
consideration for publication while being evaluated for this Journal.
International Journal of Information Sciences
and Techniques (IJIST)
ISSN: 2249 - 1139 [Online]; 2319 - 409X [Print]
https://airccse.org/journal/IS/index.html

Important Dates
 Submission Deadline: June 01, 2024
 Acceptance Notification: July 01, 2024
 Final Manuscript Due: July 08, 2024
 Publication Date: Determined by the Editor-in-Chief
International Journal of Information Sciences
and Techniques (IJIST)
ISSN: 2249 - 1139 [Online]; 2319 - 409X [Print]
https://airccse.org/journal/IS/index.html

6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

PREVENTING COPYRIGHTS INFRINGEMENT OF IMAGES BY WATERMARKING IN TRANSFORM DOM...

ijistjournal

Images are undoubtedly the most efficacious and easiest means of communicating an idea. They are surely an indispensable part of human life .The trend of sharing images of various kinds for example typical technical figures, modern exceptional masterpiece from an artist, photos from the recent picnic to hill station etc, on the internet is spreading like a viral. There is a mandatory requirement for checking the privacy and security of our personal digital images before making them public via the internet. There is always a threat of our original images being illegally reproduced or distributed elsewhere. To prevent the misuse and protect the copyrights, an efficient solution has been given that can withstand many attacks. This paper aims at encoding of the host image prior to watermark embedding for enhancing the security. The fast and effective full counter propagation neural network helps in the successful watermark embedding without deteriorating the image perception. Earlier techniques embedded the watermark in the image itself but is has been observed that synapses of neural network provide a better platform for reducing the distortion and increasing the message capacity.

Online Paper Submission - International Journal of Information Sciences and T...

ijistjournal

Call for Papers - 5th International Conference on Cloud, Big Data and IoT (CB...

ijistjournal

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PERFORMANCE ANALYSIS OF PARALLEL IMPLEMENTATION OF ADVANCED ENCRYPTION STANDA...

ijistjournal

Cryptography is the study of mathematical techniques related to aspects of information security such as confidentiality, data integrity, entity authentication, and data origin authentication. Most cryptographic algorithms function more efficiently when implemented in hardware than in software running on single processor. However, systems that use hardware implementations have significant drawbacks: they are unable to respond to flaws discovered in the implemented algorithm or to changes in standards. As an alternative, it is possible to implement cryptographic algorithms in software running on multiple processors. However, most of the cryptographic algorithms like DES (Data Encryption Standard) or 3DES have some drawbacks when implemented in software: DES is no longer secure as computers get more powerful while 3DES is relatively sluggish in software. AES (Advanced Encryption Standard), which is rapidly being adopted worldwide, provides a better combination of performance and enhanced network security than DES or 3DES by being computationally more efficient than these earlier standards. Furthermore, by supporting large key sizes of 128, 192, and 256 bits, AES offers higher security against brute-force attacks. In this paper, AES has been implemented with single processor. Then the result has been compared with parallel implementations of AES with 2 varying different parameters such as key size, number of rounds and extended key size, and show how parallel implementation of the AES offers better performance yet flexible enough for cryptographic algorithms.

Submit Your Research Articles - International Journal of Information Sciences...

ijistjournal

Considering information entropy (IE), HLA surface expression (SE) regulation phenomenon is considered as information propagation channel with an amount of distortion. HLA gene SE is considered as sink regulated by the inducible transcription factors (TFs) (source). Previous work with a certain number of bin size, IEs for source and receiver is computed and computation of mutual information characterizes the dependencies of HLA gene SE on some certain TFs in different cells types of hematopoietic system under the condition of leukemia. Though in recent time information theory is utilized for different biological knowledge generation and different rules are available in those specific domains of biomedical areas; however, no such attempt is made regarding gene expression regulation, hence no such rule is available. In this work, IE calculation with varying bin size considering the number of bins is approximately half of the sample size of an attribute also confirms the previous inferences.

Call for Research Articles - 5th International Conference on Artificial Intel...

ijistjournal

5th International Conference on Artificial Intelligence and Machine Learning (CAIML 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and Machine Learning. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Machine Learning in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Computer Science, Engineering and Applications.

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SYSTEM IDENTIFICATION AND MODELING FOR INTERACTING AND NON-INTERACTING TANK S...

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System identification from the experimental data plays a vital role for model based controller design. Derivation of process model from first principles is often difficult due to its complexity. The first stage in the development of any control and monitoring system is the identification and modeling of the system. Each model is developed within the context of a specific control problem. Thus, the need for a general system identification framework is warranted. The proposed framework should be able to adapt and emphasize different properties based on the control objective and the nature of the behavior of the system. Therefore, system identification has been a valuable tool in identifying the model of the system based on the input and output data for the design of the controller. The present work is concerned with the identification of transfer function models using statistical model identification, process reaction curve method, ARX model, genetic algorithm and modeling using neural network and fuzzy logic for interacting and non interacting tank process. The identification technique and modeling used is prone to parameter change & disturbance. The proposed methods are used for identifying the mathematical model and intelligent model of interacting and non interacting process from the real time experimental data.

Call for Research Articles - 4th International Conference on NLP & Data Minin...

ijistjournal

4th International Conference on NLP & Data Mining (NLDM 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing and Data Mining. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

Research Article Submission - International Journal of Information Sciences a...

ijistjournal

Implementation of Radon Transformation for Electrical Impedance Tomography (EIT)

ijistjournal

Radon Transformation is generally used to construct optical image (like CT image) from the projection data in biomedical imaging. In this paper, the concept of Radon Transformation is implemented to reconstruct Electrical Impedance Topographic Image (conductivity or resistivity distribution) of a circular subject. A parallel resistance model of a subject is proposed for Electrical Impedance Topography(EIT) or Magnetic Induction Tomography(MIT). A circular subject with embedded circular objects is segmented into equal width slices from different angles. For each angle, Conductance and Conductivity of each slice is calculated and stored in an array. A back projection method is used to generate a two-dimensional image from one-dimensional projections. As a back projection method, Inverse Radon Transformation is applied on the calculated conductance and conductivity to reconstruct two dimensional images. These images are compared to the target image. In the time of image reconstruction, different filters are used and these images are compared with each other and target image.

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ijistjournal

Submit Your Research Articles - International Journal of Information Sciences...

ijistjournal

BER Performance of MPSK and MQAM in 2x2 Almouti MIMO Systems

ijistjournal

Almouti published the error performance of the 2x2 space-time transmit diversity scheme using BPSK. One of the key techniques employed for correcting such errors is the Quadrature amplitude modulation (QAM) because of its efficiency in power and bandwidth.. In this paper we explore the error performance of the 2x2 MIMO system using the Almouti space-time codes for higher order PSK and M-ary QAM. MATLAB was used to simulate the system; assuming slow fading Rayleigh channel and additive white Gaussian noise. The simulated performance curves were compared and evaluated with theoretical curves obtained using BER tool on the MATLAB by setting parameters for random generators. The results shows that the technique used do find a place in correcting error rates of QAM system of higher modulation schemes. The model can equally be used not only for the criteria of adaptive modulation but for a platform to design other modulation systems as well.

Online Paper Submission - International Journal of Information Sciences and T...

ijistjournal

Call for Papers - International Journal of Information Sciences and Technique...

ijistjournal

International Journal of Information Sciences and Techniques (IJIST)

ijistjournal

BRAIN TUMOR MRIIMAGE CLASSIFICATION WITH FEATURE SELECTION AND EXTRACTION USI...

ijistjournal

Feature extraction is a method of capturing visual content of an image. The feature extraction is the process to represent raw image in its reduced form to facilitate decision making such as pattern classification. We have tried to address the problem of classification MRI brain images by creating a robust and more accurate classifier which can act as an expert assistant to medical practitioners. The objective of this paper is to present a novel method of feature selection and extraction. This approach combines the Intensity, Texture, shape based features and classifies the tumor as white matter, Gray matter, CSF, abnormal and normal area. The experiment is performed on 140 tumor contained brain MR images from the Internet Brain Segmentation Repository. The proposed technique has been carried out over a larger database as compare to any previous work and is more robust and effective. PCA and Linear Discriminant Analysis (LDA) were applied on the training sets. The Support Vector Machine (SVM) classifier served as a comparison of nonlinear techniques Vs linear ones. PCA and LDA methods are used to reduce the number of features used. The feature selection using the proposed technique is more beneficial as it analyses the data according to grouping class variable and gives reduced feature set with high classification accuracy.

Research Article Submission - International Journal of Information Sciences a...

ijistjournal

A MEDIAN BASED DIRECTIONAL CASCADED WITH MASK FILTER FOR REMOVAL OF RVIN

ijistjournal

In this paper A Median Based Directional Cascaded with Mask (MBDCM) filter has been proposed, which is based on three different sized cascaded filtering windows. The differences between the current pixel and its neighbors aligned with four main directions are considered for impulse detection. A direction index is used for each edge aligned with a given direction. Minimum of these four direction indexes is used for impulse detection under each masking window. Depending on the minimum direction indexes among these three windows new value to substitute the noisy pixel is calculated. Extensive simulations showed that the MBDCM filter provides good performances of suppressing impulses from both gray level and colored benchmarked images corrupted with low noise level as well as for highly dense impulses. MBDCM filter gives better results than MDWCMM filter in suppressing impulses from highly corrupted digital images.

DECEPTION AND RACISM IN THE TUSKEGEE SYPHILIS STUDY

ijistjournal

During the twentieth century (1932-1972), white physicians representing the United States government conducted a human experiment known as the Tuskegee Syphilis Study on black syphilis patients in Macon County, Alabama. The creators of the study, who supported the idea of black inferiority and the concept that black people’s bodies functioned differently from white people’s, observed the effects of a disease called syphilis on untreated black patients in order to collect data for further research on syphilis. Black individuals involved with the study believed that they were receiving treatment, although in truth, treatments for syphilis were purposely held back from them. Not only this, but fluids from their bodies, such as blood and spinal fluid, were extracted to serve as research material without their awareness of the purpose of the collection. The physicians justified their approach by positioning it as mere observation, asserting that they were not actively intervening with the patients participating in the experiment. However, despite their claims of passivity, these white physicians engaged in various morally improper actions, including deceit, which ultimately resulted in the deaths of numerous black patients who might have had a chance at survival.

Online Paper Submission - International Journal of Information Sciences and T...

ijistjournal

A NOVEL APPROACH FOR SEGMENTATION OF SECTOR SCAN SONAR IMAGES USING ADAPTIVE ...

ijistjournal

The SAR and SAS images are perturbed by a multiplicative noise called speckle, due to the coherent nature of the scattering phenomenon. If the background of an image is uneven, the fixed thresholding technique is not suitable to segment an image using adaptive thresholding method. In this paper a new Adaptive thresholding method is proposed to reduce the speckle noise, preserving the structural features and textural information of Sector Scan SONAR (Sound Navigation and Ranging) images. Due to the massive proliferation of SONAR images, the proposed method is very appealing in under water environment applications. In fact it is a pre- treatment required in any SONAR images analysis system. The results obtained from the proposed method were compared quantitatively and qualitatively with the results obtained from the other speckle reduction techniques and demonstrate its higher performance for speckle reduction in the SONAR images.

Call for Papers - International Journal of Information Sciences and Technique...

ijistjournal

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Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation w...

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Paper Title Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation with Hybrid Beam Forming Power Transfer in WSN-IoT Applications Authors Reginald Jude Sixtus J and Tamilarasi Muthu, Puducherry Technological University, India Abstract Non-Orthogonal Multiple Access (NOMA) helps to overcome various difficulties in future technology wireless communications. NOMA, when utilized with millimeter wave multiple-input multiple-output (MIMO) systems, channel estimation becomes extremely difficult. For reaping the benefits of the NOMA and mm-Wave combination, effective channel estimation is required. In this paper, we propose an enhanced particle swarm optimization based long short-term memory estimator network (PSOLSTMEstNet), which is a neural network model that can be employed to forecast the bandwidth required in the mm-Wave MIMO network. The prime advantage of the LSTM is that it has the capability of dynamically adapting to the functioning pattern of fluctuating channel state. The LSTM stage with adaptive coding and modulation enhances the BER.PSO algorithm is employed to optimize input weights of LSTM network. The modified algorithm splits the power by channel condition of every single user. Participants will be first sorted into distinct groups depending upon respective channel conditions, using a hybrid beamforming approach. The network characteristics are fine-estimated using PSO-LSTMEstNet after a rough approximation of channels parameters derived from the received data. Keywords Signal to Noise Ratio (SNR), Bit Error Rate (BER), mm-Wave, MIMO, NOMA, deep learning, optimization. Volume URL: https://airccse.org/journal/ijc2022.html Abstract URL:https://aircconline.com/abstract/ijcnc/v14n5/14522cnc05.html Pdf URL: https://aircconline.com/ijcnc/V14N5/14522cnc05.pdf #scopuspublication #scopusindexed #callforpapers #researchpapers #cfp #researchers #phdstudent #researchScholar #journalpaper #submission #journalsubmission #WBAN #requirements #tailoredtreatment #MACstrategy #enhancedefficiency #protrcal #computing #analysis #wirelessbodyareanetworks #wirelessnetworks #adhocnetwork #VANETs #OLSRrouting #routing #MPR #nderesidualenergy #korea #cognitiveradionetworks #radionetworks #rendezvoussequence Here's where you can reach us : ijcnc@airccse.org or ijcnc@aircconline.com

一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理

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Call for Papers - International Journal of Information Sciences and Techniques (IJIST)

1. International Journal of Information Sciences and Techniques (IJIST) ISSN: 2249 - 1139 [Online]; 2319 - 409X [Print] https://airccse.org/journal/IS/index.html

2. Scope & Topics The International Journal of Information Science & Techniques (IJIST) focuses on information systems science and technology coercing multitude applications of information systems in business administration, social science, biosciences, and humanities education, library sciences management, depiction of data and structural illustration, big data analytics, information economics in real engineering and scientific problems. This journal provides a forum that impacts the development of engineering, education, technology management, information theories and application validation. It also acts as a path to exchange novel and innovative ideas about Information systems science and technology. International Journal of Information Sciences and Techniques (IJIST) ISSN: 2249 - 1139 [Online]; 2319 - 409X [Print] https://airccse.org/journal/IS/index.html

3. Topics of interest include but are not limited to:  AI and Information Science  Archives, Preservation and Argumentation  Business Informatics  Community Informatics  Computational Biology & Bio-informatics  Computational Social Science, Social Computing  Cultural Informatics and Heritage  Data Analytics, Curation and Human Centered Data International Journal of Information Sciences and Techniques (IJIST) ISSN: 2249 - 1139 [Online]; 2319 - 409X [Print] https://airccse.org/journal/IS/index.html

4. Topics of interest include but are not limited to: (Contd..)  Design and Evaluation of Information Systems and Services  Digital Humanities, Libraries  Diversity and Social Justice  Economics of information systems  Education of Information Professionals  Ethics and Values for Information  Fairness, accountability, transparency, ethics  Foundations, History of Information  Information Access, Literacy, Policy International Journal of Information Sciences and Techniques (IJIST) ISSN: 2249 - 1139 [Online]; 2319 - 409X [Print] https://airccse.org/journal/IS/index.html

5. Topics of interest include but are not limited to: (Contd..)  Information Practices and Behaviors  Information Retrieval, Visualization  Information Theory  Internet Marketing  Knowledge Representation, Ontology  Labor Markets Online  Libraries and Librarians  Organization of Knowledge and Information  Social Informatics, Media International Journal of Information Sciences and Techniques (IJIST) ISSN: 2249 - 1139 [Online]; 2319 - 409X [Print] https://airccse.org/journal/IS/index.html

6. Paper Submission Authors are invited to submit papers for this journal through Email: ijist@aircconline.com or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. International Journal of Information Sciences and Techniques (IJIST) ISSN: 2249 - 1139 [Online]; 2319 - 409X [Print] https://airccse.org/journal/IS/index.html

7. Important Dates  Submission Deadline: June 01, 2024  Acceptance Notification: July 01, 2024  Final Manuscript Due: July 08, 2024  Publication Date: Determined by the Editor-in-Chief International Journal of Information Sciences and Techniques (IJIST) ISSN: 2249 - 1139 [Online]; 2319 - 409X [Print] https://airccse.org/journal/IS/index.html

8. International Journal of Information Sciences and Techniques (IJIST) ISSN: 2249 - 1139 [Online]; 2319 - 409X [Print] https://airccse.org/journal/IS/index.html Contact us Here's where you can reach us: ijist@aircconline.com (or) ijistjournal15@gmail.com For other details, please visit: https://airccse.org/journal/IS/index.html AIRCC PUBLISHING CORPORATION

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