ACS Journal for Science and Engineering最新文献

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An Effective Intrusion Detection Scheme over Wireless Communication Environment based on Artificial Intelligence Enabled Modified Learning Strategy 基于人工智能修正学习策略的有效无线通信环境入侵检测方案
ACS Journal for Science and Engineering Pub Date : 2024-01-02 DOI: 10.34293/acsjse.v3is1.91
Jeyanthi D.V, Indrani B
{"title":"An Effective Intrusion Detection Scheme over Wireless Communication Environment based on Artificial Intelligence Enabled Modified Learning Strategy","authors":"Jeyanthi D.V, Indrani B","doi":"10.34293/acsjse.v3is1.91","DOIUrl":"https://doi.org/10.34293/acsjse.v3is1.91","url":null,"abstract":"based on Artificial Intelligence Enabled Modified Learning Strategy In this present digital world, each and every document need to be in system format as well as preserved into the server end. So, that the transactions between client and server entities are handled by using wireless communication schemes. There are millions of individuals hooked up to the internet enabled network today, and each of them possesses some level of sensitive information. Nowadays, the most valuable asset is knowledge about the organization or its users. This attracts the attackers or hackers to acquire the personal or private information from the server end or else the path that is used for communication. Numerous types of hackers attempt to penetrate a private system in order to obtain access and extract all critical data that could harm the infrastructure, posing a significant threat to the firm. These kinds of attacks are called intrusions and the attackers are termed as intruders. This paper has a detailed study of the past detection scheme and proposed a novel intrusion detection scheme to support users to prevent the data from intruders. The major objective of this paper is to design a novel Intrusion Detection System with full of attack handling and identification capabilities as well as prevent the data safe in server end without give a lead to intruders to make an attempt. The motto of this work is to introduce a modified learning strategy with respect to the conventional learning scheme called Artificial Neural Network (ANN) and provides a robust support and resistance to identify the intruders over the wireless communication environment. To make the users more convenient to preserve the data over the remote server environment and make transactions in secured manner with the help of the proposed learning scheme. These objectives are clearly illustrated with graphical representations over the resulting section of this paper. This paper introduced a modified learning scheme called Artificial Intelligence Enabled Modified Learning Strategy (AIeMLS), in which it provides a support to genuine network users to carry on with their private data as well as preserve the data over the server end without any threats. The proposed logic called AIeMLS is derived from the conventional learning scheme called ANN, in which it is composed of a number of processing components that accept inputs and generate outputs according to their predetermined activation functions and it is being used to characterize complex situations and to anticipate the contents of specified model parameters based on their learning data. By modifying the last layer of the ANN and adapt the logic of Support Vector Machine (SVM) into it to customize the model into a novel design. This is helpful to identify the intrusions in an intellectual manner with maximum level of accuracy and performance ratio.The proposed modified learning approach AIeMLS attains the maximum accuracy ratio of 98.5% in an outcome, ","PeriodicalId":495254,"journal":{"name":"ACS Journal for Science and Engineering","volume":"169 1-4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140514606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IoT Based Accident Identification and Alert System 基于物联网的事故识别和警报系统
ACS Journal for Science and Engineering Pub Date : 2024-01-02 DOI: 10.34293/acsjse.v3is1.92
Seelam Ch, Vijaya Bhaskar
{"title":"IoT Based Accident Identification and Alert System","authors":"Seelam Ch, Vijaya Bhaskar","doi":"10.34293/acsjse.v3is1.92","DOIUrl":"https://doi.org/10.34293/acsjse.v3is1.92","url":null,"abstract":"An accident is an unpredicted and unintentional event. Considering the alarming increase in the number of motor bike riders and the number of accidents happening in our country, this system ensures to make the vehicle driving safer than before for the rider. The lack of treatment in proper time is the major reason for half of the deaths in road accidents. This system aims at providing early detection of accidents and communicating the information immediately to the emergency responses on time to provide quick assistance for the injured person. When the vehicle met with an accident, the vibration sensor or MEMS sensor which is embedded in the vehicle senses the vibration frequency and transfers the value to the raspberry pi module that is interfaced to it. While vibration threshold frequency exceeds the programmed maximum limit, the raspberry pi board extracts GPS data from the GPS module and the message with all the necessary information is sent quickly to the registered emergency contacts of the rider. This system assures to provide immediate assistance to the victim of the accident. The results give the exact locations of the accident.","PeriodicalId":495254,"journal":{"name":"ACS Journal for Science and Engineering","volume":"10 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140515027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sewage/Flood Overflow Monitoring and Alerting System 污水/洪水溢流监测和警报系统
ACS Journal for Science and Engineering Pub Date : 2024-01-02 DOI: 10.34293/acsjse.v3is1.94
Sumangala Gejje, Abishek M, Sampath M.P, Sharath P, Yathish G
{"title":"Sewage/Flood Overflow Monitoring and Alerting System","authors":"Sumangala Gejje, Abishek M, Sampath M.P, Sharath P, Yathish G","doi":"10.34293/acsjse.v3is1.94","DOIUrl":"https://doi.org/10.34293/acsjse.v3is1.94","url":null,"abstract":"Flooding is a natural calamity that is becoming increasingly frequent and has a severe impact on people's quality of life. This study highlights the use of IoT and Arduino to develop a flood monitoring system that can track the conditions near a reservoir [1]. The system utilizes compatible sensors such as level, temperature, humidity, and flow, which are accurately measured and displayed on an LCD screen. The data is then transmitted via a Wi-Fi module (ESP8266) to an IoT web application, where it is stored in a private channel. In the event of a flood, the web application alerts the relevant authorities and people [5]. Flood are well-known natural disasters that can cause significant destruction in the surrounding areas when water levels suddenly rise in dams and river beds. The damage caused by floods can have a devastating impact on both the environment and living beings. It is critical to receive emergency alerts regarding water level situations in various conditions in the river bed to minimize the damage caused by floods [9].","PeriodicalId":495254,"journal":{"name":"ACS Journal for Science and Engineering","volume":"46 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140515056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Gesture-Controlled Rover: Intuitive Human Gesture Interaction for Remote Robot Control 手势控制漫游者:用于远程机器人控制的直观人类手势交互
ACS Journal for Science and Engineering Pub Date : 2024-01-02 DOI: 10.34293/acsjse.v3is1.95
Shilpa R, Anitha S, Chaithanya D. J, Mohamed Anees, Anoushka Kurthukoti
{"title":"Gesture-Controlled Rover: Intuitive Human Gesture Interaction for Remote Robot Control","authors":"Shilpa R, Anitha S, Chaithanya D. J, Mohamed Anees, Anoushka Kurthukoti","doi":"10.34293/acsjse.v3is1.95","DOIUrl":"https://doi.org/10.34293/acsjse.v3is1.95","url":null,"abstract":"The Gesture Controlled Rover is a robot that responds to simple human motions. Robots these days are playing quite a significant role in day-to-day life. This work aims to propose a new technique to operate a robot by utilizing gestures, as well as to develop a remote-controlled robot that can be controlled using only gestures from a distance. A gesture gadget is to be worn by a user that has a sensor attached to it. As instructed by this user, the sensor records the movement made and thus the robot will move in the same instructed direction. This concept can be used to create a robot whose navigation can be automated. Gesture commands that the user can freely train and can be utilized to control external devices using a handheld wireless sensor unit. Hand movements control the accelerometer.","PeriodicalId":495254,"journal":{"name":"ACS Journal for Science and Engineering","volume":"15 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140515337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Recognition of Off-Line Handwritten Kannada Words Using Enhanced Skew Detection and Correction Method 使用增强型偏斜检测和校正方法识别离行手写卡纳达语单词
ACS Journal for Science and Engineering Pub Date : 2024-01-02 DOI: 10.34293/acsjse.v3is1.93
Shakunthala B. S, Ullas H. S, Pillai C. S
{"title":"Recognition of Off-Line Handwritten Kannada Words Using Enhanced Skew Detection and Correction Method","authors":"Shakunthala B. S, Ullas H. S, Pillai C. S","doi":"10.34293/acsjse.v3is1.93","DOIUrl":"https://doi.org/10.34293/acsjse.v3is1.93","url":null,"abstract":"Handwritten character image is taken as dataset for this method. In the proposed system, extracting text lines, word, charactersand skew correction are done based on Enhanced Skew Detection and Correction for Words algorithm for estimating and correcting skew lines. The algorithm will be used for finding the height andwidth of the entire handwritten word. In case of no skew, minimum valuewill be considered for the height of the wordand maximum value will be considered for the width of the word. Once skew is corrected with approximateskew angle repetition of the same process, only busy zone is considered for performing precise skewcorrection. The recommended approach has tested roughly 3364 Kannada items and achieved the best performance of 97.05 percent.","PeriodicalId":495254,"journal":{"name":"ACS Journal for Science and Engineering","volume":"2 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140515476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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