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Published Journal Articles

2023

Bitcoin Price Prediction using the Hybrid Convolutional Recurrent Model Architecture

2023-10
Engineering, Technology & Applied Science Research (Issue : 5) (Volume : 13)
The field of finance makes extensive use of real-time prediction of stock price tools, which are instruments that are put to use in the process of creating predictions. In this article, we attempt to predict the price of Bitcoin in a manner that is both accurate and reliable. Deep learning models, as opposed to more traditional methods, are used to manage enormous volumes of data and to generate predictions. The purpose of this research is to develop a method for predicting stock prices using the Hybrid Convolutional Recurrent Model (HCRM) architecture. This model architecture integrates the advantages of two separate deep learning models: The 1-Dimensional-Convolusional Neural Network (1D-CNN) and the Long-Short Term Memory (LSTM). The 1D-CNN is responsible for the feature extraction, while the LSTM is in charge of the temporal regression. The developed 1D-CNN-LSTM model has an outstanding performance in predicting stock values.
2021

GPUs Impact on Parallel Shared Memory Systems Performance

2021-05
International Journal of Psychosocial Rehabilitation (Issue : 8) (Volume : 24)
In recent years the graphic processing units (GPUs) programmability has increased and this lead to use in several areas. GPUs can tackle enormous data parallel issues at a higher speed than the conventional CPU. Moreover, GPUs considered more affordable and energy-efficient than distributed systems. This paper gives a comprehensive review of the several published studies in the area of the parallel-shared memory based on the GPUs in the last few years. In addition, we represent the necessary computation time and speedup gains provided by different parallel-shared memory strategies. Moreover, in this article, a clear view and a detailed summary of such used algorithms/methods, hardware, and the results obtained of various parallel-shared memory using GPU approaches present in the literature. The maximum speedup as a performance is the main target of such researches where correlation algorithm and techniques were developed in experimental studies are reported.

Efficiency of malware detection in android system: A survey

2021-04
Asian Journal of Research in Computer Science (Issue : 4) (Volume : 7)
Smart phones are becoming essential in our lives, and Android is one of the most popular operating systems. Android OS is wide-ranging in the mobile industry today because of its open-source architecture. It is a wide variety of applications and basic features. App users tend to trust Android OS to secure data, but it has been shown that Android is more vulnerable and unstable. Identification of Android OS malware has become an emerging research subject of concern. This paper aims to analyze the various characteristics involved in malware detection. It also addresses malware detection methods. The current detection mechanism utilizes algorithms such as Bayesian algorithm, Ada grad algorithm, Naïve Bayes algorithm, Hybrid algorithm, and other algorithms for machine learning to train the sets and find the malware.

Impact of IoT Frameworks on Healthcare and Medical Systems Performance

2021-01
International Journal of Science and Business (Issue : 1) (Volume : 5)
Internet of Thing (IoT) is a system of interconnected calculating equipment, electronically and mechanically and digital equipment delivered with Unique Identifiers and capability of data-transmission through a system without needful of Human-to-Human or Human-to-Computer communication. However, IoMT considered as IoT-program-implementation aimed at medicinal besides healthcare requirements, information gathering also investigation to be studied and observed. This led to proposing extensive scope of fascinating prospective consequences for enterprises: vehicles mileage-sensitivity as well auto-strategy support otherwise prepare it strongly establish in addition description predicted alighting periods towards taking-up travelers. This is due to that its standards are as of now being connected to improve access to the mind, increment the quality of care also, above all decrease the cost of care. An efficient IoT healthcare system aims to give continuous remote checking of patient health conditions, to counteract the basic patient conditions, and to improve personal satisfaction through a smart IoT environment. The trend of this paper is about displaying a detailed survey that addresses the closest previous studies to IoT roles in the healthcare sector. Giving inspiration, confinements looked by specialists, and recommendations proposed to examiners for improving this basic research field, according to detailed comparison among the addressed researches.
2020

An Investigation for Mobile Malware Behavioral and Detection Techniques Based on Android Platform

2020-08
IOSR Journal of Computer Engineering (IOSR-JCE) (Issue : 4) (Volume : 22)
Nowadays, with portable computation equipment becoming extra commonly depended besides incorporated through extra sensitive structures such as infrastructure besides armed or regulation implementation. However, is being clearer when considering that malware and other types with cyberattacks attack such portable structures. Malware has always been an issue regarding any technological advances in the world of software. Smartphones and other mobile devices are thus to be expected to face the same problems. In this paper, mobile malware detection techniques presented in details. Furthermore, we have stated the recent techniques of mobile malware detection. Adding to that, these closest works to the paper objective are compared with respect to the based-portal, depended-approach, and significant system’s description points.

Impact of Process Execution and Physical Memory- Spaces on OS Performance

2020-06
Technology Reports of Kansai University (Issue : 5) (Volume : 62)
The importance of process monitoring applications continues to grow. Generally, many of the developments in process monitoring are being driven by access to more and more data. Process monitoring is important to understand the variation in a process and to assess its current state. Process monitoring and controlling an organization is of high importance for all process management initiatives. The parallel execution of numerous threads can perform significant increases in performance and overall efficiency in the computer systems. In many computer systems, numerous performance counters are available. For example, performance counters may provide a count of the number of threads executing at a given time. This paper presented an overview of the main research works in the field of the process and thread controlling and monitoring related to physical memory to measure the performance of the operating system. The main finding is that developing strategies needed to make it easy to deal with the monitoring of a large number of data. Furthermore, the used strategies produced improvements of up to 25% and achieved very good results. Besides, the performance of applications with process control executed much faster than without.

Big Data: Management, Technologies, Visualization, Techniques, and Privacy

2020-06
Technology Reports of Kansai University (Issue : 5) (Volume : 62)
In this review paper, the concept of Big Data will be presented. In the beginning, a definition of Big Data its features will be reviewed. Then, the main or the most important issue met in big data management with the steps for data processing will be described. As well, the technologies used with Big Data management will be reviewed. Also, the most important visualization methods and techniques for analyzing big data will be listed and explained. Lastly, what challenges the Big Data is faced for privacy will be described and what you need to design a privacy model.

Dynamic resource allocation for distributed systems and cloud computing

2020-06
TEST Engineering & Management (Volume : 83)
a system that comprises of self-sufficient computers that are associated utilizing a conveyance middleware is called distributed system.Also, computations-over-Internet are fundamentals in the field of present-day processing frameworks. Where cloud suppliers need to give a successful asset to the clients to expand its QoSThe computations-over-Internet condition relates to the place numerous clients' sign-in, taking in consideration that Internet-resources have to assigned animatedly as focussing on the cost composition. This paper addresses many strategies of resources-assigning depending on QoS efficiency with performing friendly used tasks. Furthermore, interest points, limitations and restrictions for this assigning process will be considered.

Facial Expression Recognition based on Hybrid Feature Extraction Techniques with Different Classifiers

2020-05
TEST Engineering & Management (Volume : 83)
Facial Expression Recognition (FER) became an important and interest challenging area in the field of computer vision. Due to its major application possibilities, FER is an active topic of research papers since the 1990s, also for the same reason, FER has accomplished a high role in the image processing area. Typically, FER is processed in three main stages including face detection, feature extraction or selection, and classification. This study presents an overview of the current work done for the techniques of the FER field and reviews some of the published researches for the last five years till the date. This paper also gives an overview of the customized made FER algorithms and focused on the method of feature extraction of these FER techniques also the databases that are used. The feature extraction techniques played an important role in making these algorithms more efficient.

Impact of Load Sharing on Performance of Distributed Systems Computations

2020-05
International Journal of Multidisciplinary Research and Publications (IJMRAP) (Issue : 1) (Volume : 3)
Distributed system can be composed of, possibly computing and heterogeneous nodes linked through a communication network. The entire resources of any node supposed to be transparently and easily accessible from other nodes. A critical part of a distributed system design configuration is the decision of a load sharing or global planning procedure. Therefore, workload distribution is one of the most important factors that the performance of distributed systems depends on. This paper gives the reader a conjectural understanding of general compacts of load sharing on the performance of distributed systems. New depended methods of load sharing system are addressed and analyzed based on the models of relationship between the strength and load. Intelligent controllers addressed that depended by pervious researches for optimal reliability, refining the control data simultaneity besides decreasing the control suspension incongruity. Consequently, to manage the load and protect the system from any excess situations based on standard guidelines. It is clear from the previous researches-analyzation that the load sharing approach improves the distributed systems performance by work movement from the heavily loaded nodes into light loaded nodes.

Impact of Cloud Computing and Internet of Things on the Future Internet

2020-05
Technology Reports of Kansai University (Issue : 5) (Volume : 62)
Internet of Things (IoT) and Cloud computing are extremely distinct technologies which are by now playing an important role in our life. It is expected that adopting and using them would be more and more common, that makes them significant components for the Future Internet (FI). The upcoming internet-associated revolution is almost there with the existence of the IoT. IoT empowers connection and communications among tons of devices between themselves to exchange information, knowledge, and data that promotes the quality of our daily lives. Alternatively, appropriate, upon-request, and adaptable network access is provided by Cloud Computing, as a result, makes it possible to contribute computing resources which helps dynamic data be integrated from a variety of data sources. However, Cloud Computing and IoT in FI cannot be implemented without an abundance of issues and problems. In this research paper, we will be endeavoring to outline and put light on the prime and main concepts of the Cloud Computing and IoT.

Multicomputer Multicore System Influence on Maximum Multi-Processes Execution Time

2020-05
TEST Engineering & Management (Issue : 3) (Volume : 83)
Multi-core is one of the most significant speed-enhancing trends of processors for getting a boost in performance. Thus, making the new direction manufacturers are focusing on to be Multi-Core-Processors (MCP). Boosting the multitasking computing-power is one of many advantages of MCP. These kinds of processors provide few complete execution cores instead of one, each with an independent interface to the front side bus. This paper proposes a hybrid memory parallel processing approach combining the activities of (shared memory with distributed) parallel process approaches. This combination provides an efficient parallel processing system with high processing speed and treating with heavy loads. The proposed system consists of client-side (one computer) and server-side (multicomputer). All servers are of MCP type units, connected together via interconnection network, managed and controlled by the distributed system principles. In order to illustrate the real abilities of this system, multiple processes considered to be executed by server-side. The obtained implemented results include Total-Execution-Time (TET), Core-Execution-Time (CET) and Waiting-Time (WT). The proposed system implemented by using C# language.

Characteristics and Analysis of Hadoop Distributed Systems

2020-04
Technology Reports of Kansai University (Issue : 4) (Volume : 62)
The last days, the data and internet are become increasingly growing which occurring the problems in big-data. For these problems, there are many software frameworks used to increase the performance of the distributed system. This software is used for available of large data storage. One of the most beneficial software frameworks used to utilize data in distributed systems is Hadoop. This software creates machine clustering and formatting the work between them. The Hadoop consists of two major components which are Hadoop Distributed File System (HDFS) and Map Reduce (MR). By Hadoop, we can process, count and distribute of each word in a large file and know the number of affecting for each of them. In this paper, we will explain what is Hadoop and its architectures, how it works and its performance analysis in a distributed system according to many authors. In addition, assessing each paper and compare with each other.
2018

A State of Art Survey for OS Performance Improvement

2018-09
Science Journal of University of Zakho (Issue : 3) (Volume : 6)
Through the huge growth of heavy computing applications which require a high level of performance, it is observed that the interest of monitoring operating system performance has also demanded to be grown widely. In the past several years since OS performance has become a critical issue, many research studies have been produced to investigate and evaluate the stability status of OSs performance. This paper presents a survey of the most important and state of the art approaches and models to be used for performance measurement and evaluation. Furthermore, the research marks the capabilities of the performance-improvement of different operating systems using multiple metrics. The selection of metrics which will be used for monitoring the performance depends on monitoring goals and performance requirements. Many previous works related to this subject have been addressed, explained in details, and compared to highlight the top important features that will very beneficial to be depended for the best approach selection.

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