PCS Networks Research Articles

SCADA Monitoring Design Using Multiple Siemens PLCs Based on a LAN Network

In the DCS SCADA practicum in the PLC laboratory at ATI Makassar Polytechnic there were connection problems between the PLC and PC, these problems could vary, including damaged cables, loose connectors, or interference with the communication port on the PC or PLC. This research aims to design and create a SCADA monitoring system using multiple PLCs based on a LAN network. In this research, 3 display modules were created that detect connection problems on 3 PLCs. Each module focuses on 1 PLC with a different IP and when there is a problem with the PLC A, B, & C connection, the LED on the PLC_S7-1200 text will flash. Then testing was carried out on the PC and PLC network connections using the PING statistics command through estimated round trip times. Next, test the network connection via accessible devices flashed on the PLC, test the tag on Kepserverex, test the Factory I/O, and test the PLC communication with the Factory I/O. Based on the results of the system testing carried out, namely testing the network connection on the PC and PLC, the round trip times on PC 1, 2, 3 showed an average of 2.4 ms, and on PLC 1, 2, 3 the average was 2.4 ms. with testing times of 1, 2, 5, 10, 20 minutes. Testing network connections via flashled accessible devices functions by displaying a light indicator when the PLC is flashing, then testing tags on Kepserverex displays a table containing the tags used and shows good quality. Then the Factory I/O test displays the access name and tag used, then the HMI display module being tested runs according to the system that has been implemented, as well as testing the PLC communication with Factory I/O to connect the Factory I/O software with the PLC.

Network Safety : A Research for Society

Network protection is the movement of safeguarding data and data frameworks (organizations, PCs, information bases, server farms and applications) with fitting procedural and mechanical safety efforts. Firewalls, antivirus programming, and other mechanical answers for protecting individual information and PC networks are fundamental however not adequate to guarantee security. As our country quickly constructing its Digital Framework, we should teach our populace to work appropriately with this foundation. Digital Morals, Digital Wellbeing, and Network protection issues should be coordinated in the instructive cycle starting at an early age. Security counter estimates assist with guaranteeing the privacy, accessibility, and respectability of data frameworks by forestalling or moderating resource misfortunes from Network safety assaults. As of late network safety has arisen as a laid out discipline for PC frameworks andinfrastructures with an emphasis on security of important data put away on those frameworks fromadversaries who need to get, bad, harm, obliterate or disallow admittance to it. An Interruption Discovery Framework (IDS) is a program that examinations what occurs or has occurred during an execution and attempts to find signs that the PC has been abused. A large number of illustrations was thought of, including those connecting with: military and different kinds of contention, organic, medical services, markets, three-layered space, and actual resource security. These thusly prompted thought of various potential methodologies for improving network protection later on. These methodologies were marked "Heterogeneity" ,"Rousing Secure Way of behaving" and "Digital Wellbeing" . Network protection assumes a significant part in the improvement of data innovation as well as Internet providers. Our consideration is generally drawn on "Network protection" when we catch wind of "Digital Violations". Our most memorable idea on "Public Network protection" subsequently begins on how great is our foundation for dealing with "Digital Wrongdoings". This paper center around digital protection arising patterns while taking on new advancements, for example, portable registering, distributed computing, web based business, and informal communication. The paper additionally portrays the difficulties because of absence of coordination between Security organizations and the Basic IT Framework.

A Quick Review of Data Security, Privacy in Cloud Computing

Data security has been the major issue in information technology. People from all over the world put all kinds of information like public, private and confidential information in the cloud. Also data in the cloud are from various storage devices like servers, PC, mobile devices, smart phones and wireless sensor networks. So data security becomes a serious issue in the cloud environment. Protecting the data from unauthorized access is tedious. There are a lot of issues related to data security and privacy in cloud computing technology. This paper focuses on understanding the security and privacy issues in the cloud environment and comprehending compliance management in cloud computing

Review on IDS based on ML Algorithms

Abstract: Intrusion detection is one of the challenging problems encountered by the modern network security industry. The developing pace of digital assaults on framework networks as of late compounds the protection and security of PC foundation and PCs. Intrusion Detection and Prevention systems are transforming into a critical part of PC organizations and network safety. Various approaches have been proposed to determine the most effective features and hence enhance the efficiency of intrusion detection systems, the methods include, machine learning-based (ML), Bayesian based algorithm, Random Forest, SVM, Decision Tree. This paper presents an intensive survey on different examination articles that utilized single, hybrid and ensemble classification algorithms. The outcomes measurements, weaknesses and datasets involved by the concentrated on articles in the advancement of IDS were looked at. A future heading for potential explores is likewise given. The paper addressed latest research papers written from the use of machine learning classifiers in intrusion detection systems.

Artificial intelligence based optimization for mapping IP addresses to prevent cyber-based attacks

Dynamic capacity decides the bearing of mechanical turn of events, logical and sane dynamic capacity is a vital factor in the turn of events and development of an industry. With the quick advancement of man-made reasoning and PC, man-made consciousness has been generally utilized in game, the computer generated simulation and bionic robot research has become a significant piece of bionics research and has perceived a lot of consideration. As of now, the savvy job of man-made consciousness has not been concentrated inside and out. A large number of the current virtual characters have issues of moderate reaction and helpless dynamic. Hence, in this paper, the virtual soccer match has been taken for instance, and the dynamic capacity of the virtual person of the game was investigated, to settle on a superior discretion and dynamic capacity, with the goal that most of clients can truly feel the knowledge of virtual job. With the advancement of current science and innovation, PC network innovation has been applied to different fields of creation and life. Notwithstanding, a wide range of organization assaults arise in unendingly, and the security and insurance of PC network is vital. On this premise, this paper took wellbeing assurance from the PC on the organization data as the beginning from the sensible and specialized angles to frame a blend of various data security innovation of PC network safeguard inside and out model and presented and investigated for wellbeing innovation by utilizing the model. The paper discussed about the PC network data security innovation of various play in the data security assurance work. The outcomes show that the profundity assurance model can viably forestall network assaults.

Online Notice Board System

Digital Notice Board is most important factor in any organization or public utility for the places like bus stop, railway stations, schools, colleges, malls, etc. But sticking multiple notices every day is a irritating process. An person character is wanted to take care of these notices. This mission is about advanced cell board. The task is built around raspberry-pi. Display is obtained on LCD. A wi-fi continuously used for Data transmission. We can add or erase or differ the textual content material in accordance to our need. At transmitter, authorized PC is used for sending notices. At receiving end wi-fi fidelity is linked to raspberry pi. When a licensed consumer sends a message that is to be displayed from his system, it is familiar via way of receiver. Wireless is a popular technology known- that how to approve digital device to alternate information over a pc network, collectively with high speed wireless connections. The data is acquired from authenticated user, then it sends the archives to raspberry pi.

A Study of Minimization of Cybercrimes by the Implementation of Cyber Forensics Tool Kit

Abstract: To identify whether the victim has committed a crime, both criminal and forensic investigators need the help of digital forensics. As a result, an investigator must use an adequate, accurate, affordable, and trustworthy cyber forensic tool for forensics investigations related to crimes. Digital forensics, also known as computer forensic analysis, computer analysis, and computer inspection, is the practise of painstakingly evaluating computer media (hard discs, diskettes, cassettes, and so on) for evidence. A comprehensive inspection by a qualified examiner may result in the reorganisation of a computer's operations. It's a step-by-step technique for investigating crimes utilising digital evidence employing scientific methodologies and processes. While many amazing solutions have been developed to protect our information communication networks, these devices require much more frequent updating. Individuals with both research abilities and a professional grasp of how the internet works, as well as those who know how to examine PC network security problems, are in great demand. This gives an attack-resistant investigative framework, as well as understanding of how the internet operates and the skills to assess cybercrime apparatus to discover who, what, when, why, and how. The study's findings led to the development of Digital Forensic tool solutions for investigators looking to expand their capabilities in using these tools. Keywords: Forensic, Cybercrime, investigation, toolkit

PACKET ROUTING - PACKET TRAVELS ON NETWORK FROM SOURCE TO DESTINATION – COMPLEXITY & ALGORITHMS

Bundle steering is one of the fundamental issues in PC networks wherein a switch decides the following bounce of each parcel with inside the line to get it as quick as reasonable to its objective. Every switch utilizes an inward directing work area to choose the quality course to deliver a parcel. A steering work area is a fixed of rules, consistently thought to be in work area design, this is utilized to choose wherein realities bundles visiting over an Internet Protocol (IP) people group could be coordinated. Store-and-ahead bundle steering has a place with the most extreme fundamental commitments in local area advancement. Restricted data transmission requires that a couple of bundles can't course to their place for getting away on the double anyway need to go to at halfway hubs on their bearing or take diversions. Specifically, for time pivotal applications, it's far ideal to find plans that make specific rapid delivery of the bundles. It is along these lines a home-grown objective to decrease the make length, i.e., the time at which a definitive parcel shows up at its place for getting away. In this paper we gift various ground-breaking considerations and procedures that cause novel calculations and hardness results. In this paper we take a gander at the parcel directing problem. Given a fixed of bundles locally beginning at likely remarkable start vertices, we want to move them to their separate place to get-away vertices. The reason for existing is to diminish the general make length, this is the time while the last bundle shows up at its place for getting away. We recall the disconnected model of the issue wherein all information around the local area and the parcels, predominantly the start and place for getting away vertices, are given prior. In our directing model, we expect shop-and-ahead steering. This way that every hub can shop discretionarily numerous parcels anyway every connection (a coordinated or undirected edge) might be used by least complex each bundle in turn. We check out the case wherein the path of the bundles is steady prior notwithstanding the case wherein their calculation is a piece of the problem. Also, we recognize among remarkable assortments of hidden diagrams, e.g., coordinated charts, undirected charts, planar charts or trees [1].

Using Task Farming to Optimise a Street-Scale Resolution Air Quality Model of the West Midlands (UK)

High resolution air quality models combining emissions, chemical processes, dispersion and dynamical treatments are necessary to develop effective policies for clean air in urban environments, but can have high computational demand. We demonstrate the application of task farming to reduce runtime for ADMS-Urban, a quasi-Gaussian plume air dispersion model. The model represents the full range of source types (point, road and grid sources) occurring in an urban area at high resolution. Here, we implement and evaluate the option to automatically split up a large model domain into smaller sub-regions, each of which can then be executed concurrently on multiple cores of a HPC or across a PC network, a technique known as task farming. The approach has been tested for a large model domain covering the West Midlands, UK (902 km2), as part of modelling work in the WM-Air (West Midlands Air Quality Improvement Programme) project. Compared to the measurement data, overall, the model performs well. Air quality maps for annual/subset averages and percentiles are generated. For this air quality modelling application of task farming, the optimisation process has reduced weeks of model execution time to approximately 35 h for a single model configuration of annual calculations.

Detection of Abnormalities in Real-Time Computer Network Traffic Empowered by Machine Learning

This research discloses how to utilize machine learning methods for anomaly detection in real-time on a computer network. While utilizing machine learning for this task is definitely not a novel idea, little literature is about the matter of doing it in real-time. Most machine learning research in PC network anomaly detection depends on the KDD '99 data set and means to demonstrate the proficiency of the algorithms introduced. The emphasis on this data set has caused a lack of scientific papers disclosing how to assemble network data, remove features, and train algorithms for use inreal-time networks. It has been contended that utilizing the KDD '99 dataset for anomaly detection is not appropriate for real-time network systems. This research proposes how the data gathering procedure will be possible utilizing a dummy network and generating synthetic network traffic by analyzing the importance of One-class SVM. As the efficiency of k-means clustering and LTSM neural networks is lower than one-class SVM, that is why this research uses the results of existing research of LSTM and k-means clustering for the comparison with reported outcomes of a similar algorithm on the KDD '99 dataset. Precisely, without engaging KDD ’99 data set by using synthetic network traffic, this research achieved the higher accuracy as compared to the previous researches.

Ultra-robust superwetting hierarchical membranes constructed by coordination complex networks for oily water treatment

Superhydrophilic and underwater superoleophobic (SHL&UWSOB) membranes possess unique advantages in treating oily wastewater. The hydrophilic surface coating and the hierarchical microstructure is significant for the fabrication of SHL&UWSOB membrane, however, the stability of the surface coating remain challenging. In this study, the hydrophilic hierarchical structure was first constructed based on amino-functionalized polyhedral oligosiloxane/proanthocyanidins (POSS-NH2/PC) surface coating. Then metal-phenol networks (MPN) was quickly derived from Fe (Ⅲ) and PC networks (FPN). The coordination complex networks formed by POSS-NH2/PC cross-linking and FPN synergy construct a hydrophilic hierarchical hybrid layer on poly (vinylidene fluoride) (PVDF) microfiltration (MF) membrane surface. Physicochemical characterizations demonstrate that FPN can greatly restrain the oxidation of phenolic hydroxyl group and reduce the electrostatic repulsion force and enhance the interaction between chain segments, hence, the stability of the coating in strong acidic or alkaline conditions was achieved. The synthesized membrane shows robust superhydrophilicity and underwater superoleophobicity, revealing high efficiency for separation of oil-in-water emulsion in harsh environment, and the oil rejections are over 99.0%. In addition, the resulted membrane has good anti-oil fouling performance even after three-cycles of oil/water separation. The designed membrane lights new prospects in the design of the facile and universality for other superwetting materials.

High dielectric polymer composites from thermal-induced in-situ formation of conjugated structures and reduced graphene oxide

Fabrication of high-dielectric polymer-matrix composites by adding inorganic fillers has attracted much attention, while great challenge is posed on the trade-off between enhancement of dielectric permittivity and sacrifice of mechanical flexibility. In this work, we report in-Situ formation of conductive filler strategy for making composites with significantly enhanced dielectric permittivity while well-retained mechanical flexibility. In detail, a trace amount (1.0 wt%) of graphene oxide (GO) is added into a polymer blend of polyvinylidene fluoride (PVDF) and polyacrylonitrile (PAN). After thermal annealing, the PAN and GO are simultaneously converted to conjugated structures (PCS) and reduced graphene oxide (rGO), respectively. The dielectric permittivity of resulting composites is enhanced due to the synergistic contribution between the in-Situ formed PCS and rGO conductive networks, which shows a high permittivity of 180.85 (PVDF/PCS/rGO, 20 wt% PVDF). Besides, the mechanical and thermal properties of the PVDF/PCS/rGO composites just slightly decreased owing to the trace amounts of inorganic fillers. Therefore, the prepared PVDF/PCS/rGO material with good dielectric, mechanical, and thermal property is promising flexible electronics.

Information Technology Enterprise Architecture Planning in the National and Political Unity Agency “KESBANGPOL” of Salatiga City Using Enterprise Architecture Planning (EAP)

The National and Political Unity Agency "KESBANGPOL" of Salatiga City is a government agency tasked with overseeing community activities in Salatiga City. In designing the information system architecture of the National Unity and Political Body "KESBANGPOL" of Salatiga City, the Enterprise Architecture Planning "EAP" methodology is used. Enterprise Architecture Planning "EAP" is a tool developed to build an enterprise architecture that harmonizes the three types of architecture in its development, namely data architecture, application architecture, and technology architecture. Based on this research it was found that there was no adequate administrative information system. The condition of the computer network owned by The National and Political Unity Agency "KESBANGPOL" has 1 internet-connected to 1 server. 1 The server is connected to 2 Routers, where 2 Routers are connected to 23 PC Servers and also connected to 20 printers. Based on the application system architecture, the mapping process of infrastructure components can be carried out. These infrastructure facilities are still inadequate for The National and Political Unity Agency "KESBANGPOL" with community service activities in Salatiga City which are very dense, so it is necessary to add computer and PC networks in order to facilitate service activities.

Study on Spatial-Temporal Characteristics and Influencing Factors of Network Attention: The Case of Guilin, China

To research the spatial-temporal distribution characteristics and influencing factors of tourism network attention is meaningful for understanding the current situation of the development tourism, revealing tourism customer market, and providing guidance for tourism planning, service, management. Took Guilin of China as an example and based on Baidu Index, this paper studied the spatial-temporal characteristics and influencing factors of tourism network attention by using seasonal concentration index, variation index, geographic concentration index, coefficient of variation and regression analysis. The research found that mobile network attention has a major share and has obvious seasonality. The PC network attention occupies a low share, which is not affected by the peak seasons, but fluctuates periodically with working days and rest days. In Guilin, the main factor influencing the time distribution of the network attention is precipitation, and the climate comfort has not reached a significant level. The regional distribution of the network attention is neither centralized nor balanced. The population size, the network development and the distance are important factors affecting the spatial distribution of network attention.

Network Protection using Honeypots

PC Networks and Internet has become acclaimed these days since it fulfills individuals with varying needs by giving assortment of perfect service. Computer Networks have reformed our utilization of PC. Debits, Purchasing from e-commerce and many other needful activities performed by a single click from our homes. In spite of the fact that it is an aid right now, likewise has its own dangers what's more, shortcomings as well. Enterprises need to tussle to give security to their systems and in reality not conceivable to offer a cent percent security because of the immaterial knowledge of hackers meddling into the network. This paper gives the idea of honeypots for securing the network of the different organizations which might not have custom intrusion detection system or firewalls. The proposed model shows the different techniques utilized by hackers and makes a log of all hackers exercises. Hence utilizing this log, the network can be kept from assailants.

Focus on software, data acquisition, and instrumentation

Focus on software, data acquisition, and instrumentation

Effect of high‐pressure carbon dioxide on thermal conversion process of polydimethylsilane to Si–C backbone polymers

AbstractPolycarbosilane (PCS) is synthesized from polydimethylsilane (PDMS) by thermal condensation reaction in an inert atmosphere. In the new process described in this article, CO2 at high pressure (2–10 bar) was introduced into the system before the condensation reaction of PDMS. Si–C backbone formation process was accelerated at 340‐360ºC, and brown “PCS” liquid was obtained at 380ºC. Polymer recovery increased from 60% (in a pressure vessel with a N2 atmosphere) to >95% in CO2 atmosphere at 10 bar. The apparent viscosity also increased at high CO2 pressures. Spectrum analysis indicates the existence of the Si–CH2–Si, Si–O–Si bridges, and Si–H bonds in the heat‐treated product. The viscous liquid “PCS” obtained at 380ºC is stable up to 200ºC. However, at temperatures of 200–600ºC, the volatilization of macromolecular species proceeded, and the resulting ceramic yield at 1000ºC was 29 mass%. In the CO2 treatment, product solidified at 420ºC and ceramic yield increased to 56%. The volatilization of macromolecules, however, proceeded in two steps at 200–400ºC and 600–800ºC. When the product was heated beyond 400ºC, it probably contained infinite PCS network with shorter chains.

A new strategy for mobility prediction in the PCS network

A new strategy for mobility prediction in the PCS network

Magnetodielectric Nanocomposite Polymer-Based Dual-Band Flexible Antenna for Wearable Applications

One of the major challenges in wireless communication technologies is the antenna design. In this paper, a wideband flexible antenna made by covering a Kapton substrate with a flexible magnetodielectric polymer-based nanocomposite layer is proposed. This novel magnetodielectric polymer-based nanocomposite relies on carbon-coated cobalt (CCo) and is coated with a conjugated polymer, polyaniline (PANI). The nanocomposite (PANI/CCo) fabrication, whose morphology was studied via scanning electron microscopy, demonstrates a relative permeability, a dielectric permittivity, and a conductivity of 5.5, 4.3, and 7500 S/m, respectively. In this paper, two frequency bands are of interest [1.8–2.45 GHz (personal communication service and wireless local area network) and 5.15–5.825 GHz (wireless networks)]. The functioning of the antenna in free space and on body is numerically and experimentally investigated. The average specific absorption rate is also discussed. Thanks to its performance this magnetodielectric nanocomposite polymer (PANI/CCo) antenna has been found to be a good candidate for wearable applications where complex bending situations are encountered.

An investigation on metaheuristic techniques for solving cell to switch assignment problem

The assignment of cells to switches in a Personal Communication Services Network (PCSN) is a Non-Deterministic Polynomial Time (NP) hard problem with exponential complexity and is among the hardest combinatorial optimisation problems of great practical importance in wireless communication systems. The objective is to assign cells to switches in an optimal manner, such that the cost comprising the sum of hand-off, cabling and switching cost is minimised with reasonable accuracy in an acceptable time scale, while obeying the constraints that each cell must be assigned to exactly one switch and total load of all the cells which are assigned to a switch is below the capacity of the switch. The aim of this article is to experimentally investigate the performance of three recent metaheuristic algorithms namely Bat Algorithm (BA), Firefly Algorithm (FA) and Flower Pollination Algorithm (FPA) for solving the Cell to Switch Assignment (CSA) problem.