Linux Operating System Research Articles

Developing a Reproducible Microbiome Data Analysis Pipeline Using the Amazon Web Services Cloud for a Cancer Research Group: Proof-of-Concept Study.

BackgroundCloud computing for microbiome data sets can significantly increase working efficiencies and expedite the translation of research findings into clinical practice. The Amazon Web Services (AWS) cloud provides an invaluable option for microbiome data storage, computation, and analysis.ObjectiveThe goals of this study were to develop a microbiome data analysis pipeline by using AWS cloud and to conduct a proof-of-concept test for microbiome data storage, processing, and analysis.MethodsA multidisciplinary team was formed to develop and test a reproducible microbiome data analysis pipeline with multiple AWS cloud services that could be used for storage, computation, and data analysis. The microbiome data analysis pipeline developed in AWS was tested by using two data sets: 19 vaginal microbiome samples and 50 gut microbiome samples.ResultsUsing AWS features, we developed a microbiome data analysis pipeline that included Amazon Simple Storage Service for microbiome sequence storage, Linux Elastic Compute Cloud (EC2) instances (ie, servers) for data computation and analysis, and security keys to create and manage the use of encryption for the pipeline. Bioinformatics and statistical tools (ie, Quantitative Insights Into Microbial Ecology 2 and RStudio) were installed within the Linux EC2 instances to run microbiome statistical analysis. The microbiome data analysis pipeline was performed through command-line interfaces within the Linux operating system or in the Mac operating system. Using this new pipeline, we were able to successfully process and analyze 50 gut microbiome samples within 4 hours at a very low cost (a c4.4xlarge EC2 instance costs $0.80 per hour). Gut microbiome findings regarding diversity, taxonomy, and abundance analyses were easily shared within our research team.ConclusionsBuilding a microbiome data analysis pipeline with AWS cloud is feasible. This pipeline is highly reliable, computationally powerful, and cost effective. Our AWS-based microbiome analysis pipeline provides an efficient tool to conduct microbiome data analysis.

IED Design for a Small-Scale Microgrid Using IEC 61850

This article presents a communications test rig based on a customized intelligent electronic device (IED) for its use in a laboratory-scale microgrid. The laboratory setup for this article uses the following three types of subsystems: distributed energy resources DERs (solar, wind), energy storage (batteries), and loads (active, reactive, linear, and nonlinear). A Raspberry Pi computer, using the Linux operating system, allows programming the algorithms needed by the communications platform. The protocol employed for data exchange, between the different subsystems and the central supervisor module, is the IEC 61850 standard. Three experimental test cases serve to show the proposed IEDs performance. The first test transfers data between a solar source and a client station. The second test transfers data, in distributed mode, between four nodes associated to different generation sources. The last test shows a secondary control using two experimental inverters operating in parallel connection. The IEDs communicate the compensating values for regulating frequency and voltage in the system composed of a master and one or more slave inverters.

Research on key technologies of high resolution printing

A printer is a non-contact printing system which has been widely used and developed in various industries, it does not only solves the identification problem of the industry, but also enhances the actual anti-counterfeiting ability and ensures the healthy operation and development of the industry. This article mainly based on the development status and trend of the printer that integrate into the modern technology to developed a set of ARM+FPGA platform which is mainly using the embedded Linux operating system to achieve the human-computer interaction, providing more convenience for the operators with good stability and reliability to improve the speed at which the actual printing is controlled. The entire interface design is simple and friendly, which can guarantee the beauty and quality of the coding effect.

The Applied Mathematical Simulation Modeling Algorithm for a Multi Aircraft Landing Dynamic System at Bujumbura International Airport Mathematics and Innovative Technologies in Africa

The aim of this paper is to set up an efficient nonlinear application algorithm simulation model for a multi aircraft landing dynamic system in one Runway when considering Bujumbura International Airport. The mathematical modelization of the solved problem is a non-convex optimal control governed by ordinary non-linear differential equations.The dynamic programming technic is applied because it is a sufficiently high order and it does-not require computation of the partial derivatives of the aircraft dynamic. This application is be coded with Linux operating system, but it can also be run on the windowssystem. High runing performance are obtained with results giving feasible trajectories with a robust optimizing of the objective function. The user interfaces designed in Glade are saved as XML, and by using the GtkBuilder GTK+ object these can be loaded by applications dynamically as needed. By using GtkBuilder, Glade XML files can be used in numerous programming languages including C, C++, C#, Java, Perl, Python,AMPL,etc.. Glade is Free Software released under the GNU GPL License. The algorithm is implemented when considering discrete mathematics while using Bujumbura International Airport Geographic Information System.

Adaptive Performance Evaluation for SDN Based on the Statistical and Evolutionary Algorithms

Being able to send different types of data (i.e. text, audio, or video) through the network is the most important aspect of networks. Different networks have different issues and restrictions while sending data. These restrictions are basically the QoS (Quality of Service) metrics and security. The recent Software-Defined Networking (SDN) that aims to separate the control plane from the data plane can be applied where Business requirements are not responsible for the way the network is configured; instead, it is the responsibility of the high-level business policies and objectives. SDN gives preferable techniques for centralized dynamic management and control configurations. In this work, a proposed model has been estimated and discussed to promote QoS requirements in some suggested topologies. Adaptive Resource Management (ARM) and control to send different types of data through different hosts have been investigated. The intended requirements are basically the capacity and delay of traffic metrics sent through different hosts through the network. It produces a mathematical model and implementation for three proposed algorithms to enhance the quality of a sample video sent from source host to destination host by Visible Light Communication (VLC)-media player in three different topologies. These algorithms (statistical, MOGA, and PSO) have been implemented using Mininet emulator, FNSS tool, PULP, and network libraries; with two types of controllers which are Floodlight and OVS under Linux operating system and in python programming language.

Design and Development of Linux Based Quadcopter Cameraman System using Raspberry Pi Microcontroller

The moto of this paper is to develop an unmanned aerial vehicle equipped with modern technologies used for auto pilot video recording Application. In this paper we proposed a method todesigna quadcopter to record the video in any location using Linux operating system. we use Raspberry Pi micro controller for flight control operation. we have developed a cloud based solution by creating a Wi-Fi network connection between the laptop and theflightcontrollerboard with the help of raspberry pi micro controller to produce “Hard Real Time output” .The quadcopter will able to acquire Additional characteristics such as • Altitude and longitude • Auto pilot • Speed • Detects ground level and height • Geographic coordinates. The Raspberry PI Micro controller is interfaced with two cameras having 1080-pixel resolution and captures 30 frames per second. The camera size is very small and light weight with good quality interfaced with quadcopter to record the videos. The proposed system can reduce the manpower involved in live outdoor video recording camera man system

Real Time Activity Logger: a User Activity Detection System

With the size of the enterprise network is growing, more and more computer terminals, internal information leakage and security threats emerging security incidents and daily management to bring a lot of pressure. Business users need a tracking system to address these security issues.A technique and framework for checking and following the exercises of a client of a PC. Affiliations are set up between the conditions of certain PC framework parameters and explicit exercises. The present movement of the client is then definite by the framework dependent on the present condition of the PC framework. As the condition of the PC framework changes, changes in the client's action are checked and followed. The exercises are followed related to time in order to record the time spent on every movement.Through this project we are developing the understanding of the working and the basics of the Linux operating system. We are analysing the need of monitoring the system and solving the issues related to security, unauthorised access and other threats. Through this tool we are trying to address these issues.

Matrix formulation of the energy exchange problem of multi-level systems and the code FRIGUS

FRIGUS is a user-friendly Python package for computing cooling functions that depend on gas density, radiation and gas temperatures. The input data are organized as matrices and the computation of the equilibrium level population, as well as the time-dependent evolution of the level population, together with the energy exchange is reduced to matrix operations, unlike traditional methods. The compact matrix formalism makes it easy to handle multi-level and multi-quantum number systems. FRIGUS provides interfaces for solving the rate equations using any third party (optimized) linear algebra solvers. FRIGUS is distributed as a Python library and it has been tested under different flavours of Linux operating systems. FRIGUS can be coupled with state-to-state ro-vibrational resolved chemistry codes, e.g., for H$$_2$$, in astrophysical as well as industrial applications like hydrogen storage and in radiative–collisional plasma modeling.

Design and evolution of the Seafarer's Health Passport for supporting (tele)-medical assistance to seafarers.

Seafarers undergo periodic medical examination for their employment. This information inmost cases is not effectively used when requesting for medical assistance during service on board ships.The medical history of an individual is important for provision of medical care and can be critical to theoutcome. There is growing adoption of digital applications and electronic health records that are addinggreat value to the care provided. The Seafarer's Health Passport (SHP) is an application specifically designedfor improving the quality of medical assistance provided to seafarers both through telemedicineor classic medical check-ups in ports/hospitals worldwide. The SHP provides a secure and unique way toarchive and retrieve the seafarer's medical history in an electronic support. The SHP that we have developed is a product with specific hardware and softwarespecifications. The basic features of this software are Linux operating system Debian/Ubuntu, ApacheWeb server 2.x, Server database MySQL/Maria DB PHP programming language 5.6.xx, and secure connectionin https. The SHP represents a helpful hint to physicians providing medical advices to seafarers enablingthem to make more decisions that are informed and curtailing possible complications due to misdiagnosis. Provision of high quality medical assistance requires knowledge of patient's medical history.The availability of an easy access and friendly use system of own medical history is useful for a populationof travellers, such as seafarers to guarantee a reasonable level of medical care at any time.

ProphET, prophage estimation tool: A stand-alone prophage sequence prediction tool with self-updating reference database.

BackgroundProphages play a significant role in prokaryotic evolution, often altering the function of the cell that they infect via transfer of new genes e.g., virulence or antibiotic resistance factors, inactivation of existing genes or by modifying gene expression. Recently, phage therapy has gathered renewed interest as a promising alternative to control bacterial infections. Cataloging the repertoire of prophages in large collections of species’ genomes is an important initial step in understanding their evolution and potential therapeutic utility. However, current widely-used tools for identifying prophages within bacterial genome sequences are mainly web-based, can have long response times, and do not scale to keep pace with the many thousands of genomes currently being sequenced routinely.MethodologyIn this work, we present ProphET, an easy to install prophage predictor to be used in Linux operation system, without the constraints associated with a web-based tool. ProphET predictions rely on similarity searches against a database of prophage genes, taking as input a bacterial genome sequence in FASTA format and its corresponding gene annotation in GFF. ProphET identifies prophages in three steps: similarity search, calculation of the density of prophage genes, and edge refinement. ProphET performance was evaluated and compared with other phage predictors based on a set of 54 bacterial genomes containing 267 manually annotated prophages.Findings and conclusionsProphET identifies prophages in bacterial genomes with high precision and offers a fast, highly scalable alternative to widely-used web-based applications for prophage detection.

Analisis Perbandingan Algoritma Static Round-Robin dengan Least-Connection Terhadap Efisiensi Load Balancing pada Load Balancer Haproxy

In IT networking, load balancing used to share the traffic between backend servers. The idea is to make effective and efficient load sharing. Load balancing uses scheduling algorithms in the process includes Static round-robin and Least-connection algorithm. Haproxy is a load balancer that can be used to perform the load balancing technique and run by Linux operating systems. In this research, Haproxy uses 4 Nginx web server as backend servers. Haproxy act as a reverse proxy which accessed by the client while the backend servers handle HTTP requests. The experiment involves 20 Client PCs that are used to perform HTTP requests simultaneously, using the Static round-robin algorithm and Least-connection on the haproxy load balancer alternately. When using Static round-robin algorithm, the results obtained average percentages of CPU usage successively for 1 minute; 5 minutes; and 15 minutes are; 0.1%; 0.25%; and 1.15% with average throughput produced is 14.74 kbps. Average total delay produced 64.3 kbps. The average total delay and jitter is 181.3 ms and 11.1 ms, respectively. As for the Least-connection algorithm average percentage obtained successively for 1 minute; 5 minutes; and 15 minutes are 0.1%; 0.3%; and 1.25% with the average throughput produced is 14.66 kbps. The average total delay and jitter is 350.3 ms and 24.5 ms, respectively. It means Static round-robin algorithm is more efficient than the algorithms Least-connection because it can produce a greater throughput with less CPU load and less total delay.

Performance Examination of Black Hole and Gray Hole Attacks in MANETs

Security is a very difficult issue for ad hoc ad networks. The first step is to developa good security solution to understand the current attack method.The presence of malicious nodeswill affect the functionality and network integrity. In the Black hole attack, malicious nodes will lower the package instead of moving forward. Thus, Black hole attacks reduce networkperformance. Utimetly as a black hole this paper analysis over other attacks individually or inintegrated manner. It is quite easy to verify the behaviors of black hole attack on individual basis.But in case of gray hole attack it is too much difficut to analysis the nature and behaviors of the network. The quality of tarnsmision is unpredictable and the overall performance get badlyaffcted with the such kind of attack. These attacks is the basic of the earlier known attack butwhen it come in pair or more than its behaviorss is very hard to detected on the basis of thepresent knwledge. In this paper we analyse blackhole and Grayhole attack s that executed underthe NS2 plateform run on the linux operating system. The analysis formwithsome set of nodesand whole excution focused on three parameters i.e E2E, PDR and Throughput

Testing of Linux Performance Monitoring Tools on ARM Based Raspberry Pi

The open source feature of Linux operating system has resulted in considerable number of Linux performance monitoring tools. These tools are utilized to calculate the execution performance of the Linux operating system. This paper provides a brief overview of different Linux performance monitoring tools. It then tests the various discussed tools on ARM based Raspberry Pi (Rpi) board. The experimental results are obtained with respect to the python script to monitor the real time environmental temperature and humidity. The performance of Raspberry Pi based monitoring system is estimated in view of parameters such as response time, context switches, memory and CPU usage etc.

Latch-Up Detection During ESD Soft Failure Characterization Using an On-Die Power Sensor

ESD-induced latch up is detected with an on-die energy counter circuit. Raw values are accessed through a Linux operating system kernel call, then the power consumption is calculated. Persistent power consumption increase indicates the latch-up occurrence, thus avoiding the need of external equipment for its detection. The failure mode is not visually noticeable and requires full power cycling to fully recover.

Pengembangan Sistem Pencarian Karya Akhir Berdasarkan Abstrak Menggunakan Full-Text Searching Di Sistem Informasi Perpustakaan Jurusan Teknik Elektro Universitas Negeri Jakarta

The research was conducted to develop a search system undergraduated thesis based on abstract using full-text searching in Library Information Systems Department of Electrical Engineering State University of Jakarta. The feature fulltext search system is developed to facilitate students in finding undergraduate thesis based on abstract. By using the select clause MATCH () ... Against, the data can be searched ordered by relevancy value. The research was conducted in the laboratory of multimedia Department of Electrical Engineering Faculty of Engineering, State University of Jakarta from September 2012 to December 2012. Development cycle of full-text search system conceptually consists of the design and analysis of systems, retrieval system development, integration of full-text search system to test SIPEL SIPEL 2013 and 2013. Full-text search system stores abstract 229 thesis abstract (undergraduate thesis, comprehensive, and TA) using XAMPP web server applications. Library Information Systems Department of Electrical Engineering State University of Jakarta (SIPEL 2013) has successfully integrated the SIPEL 2012 by adding databases and full-text search feature. The research use scripting language PHP and the MySQL database and worked on the Linux operating system by using a text editor Bluefish Editor and XAMPP as localhost server.

Detection and Prevention of De-authentication Attack in Real-time Scenario

Wireless Local Area Network (WLAN) is an infrastructure network in which nodes are connected to a centralized system to provide Internet access to mobile users by radio waves. But WLANs are vulnerable to Medium Access Control (MAC) layer Denial of Service (DoS) attacks due to the susceptibility of the management frames. An attacker can spoof the MAC address of the legitimate client and perform de-authentication attack to disconnect WLANs users from the access point. Many free tools are available in Kali Linux Operating System (OS) by which this attack can be performed and cause a security threat to WLAN users. The consequences of de-authentication DoS attack are frequent disconnection from Internet, traffic redirection, man-in-the-middle attack, and congestion. Despite enormous efforts in combating de-authentication DoS attack in the past decade, this attack is still a serious threat to the security of the cyber world. Medium Access Control Spoof Detection and Prevention (MAC SDP) DoS algorithm performs detection and prevention of de-authentication attack caused by spoofing MAC address. This algorithm is modified to make it more immune to the de-authentication attack and implemented in real-time scenario. The results show that the proposed technique increases the packet flow rate by 20.36%, reduces the packet loss by 95.71%, and reduces the down time and recovery time by 0.39 sec and 0.9 sec respectively as compared to MAC SDP DoS algorithm.

Penerapan Dan Implementasi Sistem Informasi Perpustakaan Berbasis Web Di Perpustakaan Smk Modellink Kabupaten Sorong

Information technology is very responsible in the development of the library world. The role of technology is a computerized information system so as to improve performance to be more optimal. The increase in books and borrowing systems requires better, complete and factual management systems and services. This study aims to build a web-based information system at Modellink Vocational School in Sorong Regency that can be accessed online. The web-based library information system is built using Open Source Software (OSS) web devices using the Circular Library Management System (SLiMS) that supports AJAK (Asynchronous Javaskrip and XML) technology and can be run on Windows or Linux Operating Systems with PHP and MySQL RDBMS. Development of a web-based library information system using the Waterfall Method according to Pressman (2010). The results of this study proved to have been designed Web-based Library Management Information System Application at Modellink Vocational School in Sorong Regency which can be accessed online or offline that produces information about effective and efficient grouping management that makes features of loan transactions, returns, collection reservations, rules flexible lending, information and fines, making membership card membership, inventory management inventory (inventory), reports and statistics, issue management, management of multimedia documents and digital documents such as pdf. Detailed book descriptions are available in XLM (Extensible Markup Language) format for web service needs.

머신러닝을 활용한 실시간 리눅스 악성파일 탐지

최근 IoT 혁명과 임베디드 장치 채택의 급증으로 악성코드 환경이 빠르게 변화하고 있다. 개인용 컴퓨터는 주로 x86 기반 아키텍처에서 실행되지만 임베디드 시스템은 다양한 아키텍처에 의존하고 있다. 이러한 측면에서 많은 시스템이 Linux 운영 체제 및 변종을 실행하고 있어 공격자는 "리눅스 악성코드"를 만들어내고 있다. 더욱이 리눅스 시스템에서 사용할 수 있는 안티 바이러스 및 샌드박스 솔루션은 매우 드문 현실이다. 따라서 리눅스 악성코드 탐지 방안을 개발하는 것이 필수 불가결한 상황하다. 리눅스 악성코드 문제를 해결하기 위하여, 본 논문에서는 리눅스 악성코드를 실시간에 탐지가 가능한 시그니처를 사용하지 않는 머신 러닝 기법을 제안한다. 본 논문에서는 보안 분석가들에게 악성 분류 이유에 대한 직관을 제시하기 위해서 실행파일로부터 추출한 각 특징의 정보 이득에 결정 트리(DT) 기법을 적용한다. 실험을 통하여 제안한 방안이 높은 탐지율과 낮은 오탐율을 갖고 있음을 증명한다. Recently, the IoT revolution and surge in adoption of embedded devices are rapidly changing the malware environment. While personal computers run predominantly on x86-flavored architectures, embedded systems rely on a variety of different architecture. In turn, this aspect causes a large number of these systems to run some variants of the Linux operating system, pushing malicious actors to give birth to "Linux malware". Also, there are not many Anti-Virus and sandboxing solutions for Linux systems. So, it is indispensable to develop Linux malware detection methods. To solve them, we propose a real-time, non-signature-based machine learning technique for detecting Linux malware. To provide human-comprehensible reasons to network security analysts, our method uses a decision tree technique on the Information Gain of each feature extracted from executable files. And we verify that our method has high accuracy at a low false positive rate by implementing it.

Research on the Security Data Transmission based on Linux

This paper develops system software in application layer based on Linux operating system. Linux operation system in this paper. Different transmission modes are adopted in different parts to improve the transmission efficiency in the network. The data capture encryption method is used for the file data, and the storage transmission method is used for the image data. It designs an identity authentication protocol and key exchange protocol based on digital certificate and digital sign technology, to avoid the sophistication and filch and improve the reliability of the identity authentication and the security of the key exchange. The common algorithms of symmetric encryption, asymmetric encryption and information digest are studied by using OpenSSL standard library function to realize data encryption module of the system.

Data Acquisition Software for CBM-TOF Super Module Quality Control

The time-of-flight (TOF) system in the Compressed Baryonic Matter (CBM) experiment is composed of super modules based on multi-gap Resistive Plate Chambers (MRPC) for high-denseness, high-resolution time measurement. In order to evaluate the quality of detectors during the mass production, a distributed data readout system is developed to meet with the high data rate of 6.4Gbps, and a related data acquisition (DAQ) software is implemented under Linux operating system to test and verify the feasibility of the distributed data readout method. In this paper, the DAQ software is focused on data collection, event building, status monitoring and system controlling. Laboratory tests confirmed the function of the DAQ software and show that the overall data transfer rate of a single data transmission path can reach up to about 550Mbps which already meet the demand.