2023 2nd International Conference on Computational Systems and Communication (ICCSC)最新文献

{"title":"Clinical tools to detect Postpartum Depression based on Machine learning and EEG: A Review","authors":"Anagha Acharya, Ramya Ramesh, Tasmiya Fathima, Trisha Lakhani, S. S","doi":"10.1109/ICCSC56913.2023.10142970","DOIUrl":"https://doi.org/10.1109/ICCSC56913.2023.10142970","url":null,"abstract":"The expectant mother experiences considerable anatomical and physiological changes during pregnancy that induce stress, and an acute response to stress induces a state of anxiety. When this stress is prolonged, depression may develop insidiously, impairing one's ability to cope with stress. Around the world, up to 15% of new mothers may experience postpartum depression, a mental condition. It has been linked to poor maternal and newborn bonding, reduced breastfeeding initiation, and poor mental health outcomes for mothers, children, and infants. Even though they are common, up to 50% of postpartum issues may go undiagnosed or untreated. Therefore, it is imperative to detect symptoms in the early stages for prevention and intervention. In this paper, we review the existing techniques for PPD detection and prevention and cite their merits and demerits. The secondary questionnaire-based screening tools can only act after the onset of depression but before the development of the disorder, while primary prevention approaches, which use powerful machine learning algorithms, can work before the emergence of symptoms themselves with a higher accuracy. The most accurate classifier has been proven to be Support Vector Machine in the vast majority of instances. Recently, Electroencephalogram (EEG) has received the most research attention because of its superior features in measuring cognitive abilities in real-time. Therefore, adopting EEG-based methodologies could help address inconsistencies caused by earlier approaches. Accordingly, the review suggests exploring the use of EEG for improving the detection of postpartum depression to account for early interventions.","PeriodicalId":184366,"journal":{"name":"2023 2nd International Conference on Computational Systems and Communication (ICCSC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126624100","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}

{"title":"Path planning of Mobile Robot in Dynamic Environment by Evolutionary Algorithms","authors":"Mahyar Teymournezhad, O. K. Sahingoz","doi":"10.1109/ICCSC56913.2023.10142971","DOIUrl":"https://doi.org/10.1109/ICCSC56913.2023.10142971","url":null,"abstract":"Mobile robot route planning is the process of identifying the ideal path for a robot to take in order to accomplish a particular objective. It is a crucial consideration of mobile robotics since it helps robots to navigate their environment and execute tasks in a safe and efficient manner. Path planning for mobile robots presents numerous difficulties, including the need to take into account the robot's physical capabilities and constraints, the presence of static obstacles and other dynamic elements of the environment, and the need to optimize for factors such as energy efficiency and time. Path planning is crucial for the successful deployment of mobile robots in a range of applications, including search and rescue, transportation, inspection, and production. It can also play a crucial role in enabling robots to function in collaborative contexts alongside people. Inspired by natural evolution and genetics, evolutionary algorithms are a kind of optimization technique. They are widely utilized in numerous fields, including mobile robot path planning. Evolutionary algorithms have the potential to find solutions to difficult, nonlinear problems, which is a major advantage for mobile robot path planning. Evolutionary algorithms are able to avoid local minima and produce globally optimal solutions, whereas conventional optimization approaches frequently become trapped in unsatisfactory solutions. This is especially crucial in real-world contexts where the robot may encounter unforeseen impediments or environmental changes. Using the ant colony optimization algorithm as an efficient evolutionary approach, this work seeks to determine the path of a mobile robot in an environment containing a number of static and dynamic obstacles. The presented model demonstrated that ACO is an effective real-time calculating solution for this type of problem.","PeriodicalId":184366,"journal":{"name":"2023 2nd International Conference on Computational Systems and Communication (ICCSC)","volume":"290 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114054411","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}

{"title":"Web Performance Engineering - Finding Best Data Structure For Automatically Collected HTML Locators","authors":"Prabhat Padhy, Pratima Nayak, S. Vaidya","doi":"10.1109/ICCSC56913.2023.10142973","DOIUrl":"https://doi.org/10.1109/ICCSC56913.2023.10142973","url":null,"abstract":"The research basically aims to identify finding the best Data Structure and automatic detection of locators. This in turn leads to tracking (navigating) for the URL and its content. The term “Locators” can be described as an address that identifies a web element uniquely that is no repeatable within the webpage, It's a command that informs Selenium Integrated Development Environment which Graphical User Interface elements like - Text Box, Buttons, Check Boxes etc, it needs to operate on. Detecting correct GUI elements is a prior work for generating an automation script but, precise identification of GUI elements is much more difficult. Sometimes, you might even end up working with incorrect GUI elements or no elements at all, therefore, using the right locator ensures that the tests are faster, more reliable, or has lower maintenance over releases.","PeriodicalId":184366,"journal":{"name":"2023 2nd International Conference on Computational Systems and Communication (ICCSC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114848891","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}

{"title":"An Android Application Based Digital Notice Board","authors":"Surjimol R, Jeni Moni, Ajin B, Akhil Suresh, Arun Jacob, Jeswin V Joy","doi":"10.1109/ICCSC56913.2023.10143022","DOIUrl":"https://doi.org/10.1109/ICCSC56913.2023.10143022","url":null,"abstract":"The world is evolving digitally, and technologies are becoming more advanced daily but the information exchange between people is more difficult in public premises as a solution to this problem every public premises needs a digital display board, it has the ability to quickly disseminate information to people. Increase in information sharing technologies, such as advertising, aids in the advancement of digital technology. Since the beginning, corporations have used pin boards to share information, which takes time, adds to employee workload, and shared information won't get to the intended audience properly as a solution to this, we proposed an Android Application Based Digital Notice board to share information in public premises quickly. With the help of web site and database to store information that shared by user in the android app can easily transferred to digital board. The proposed model is a cost effective, portable and it has high efficiency in the real time. The user and admin can edit/delete message at any time after posting and also the user can set the scroll time of notice.","PeriodicalId":184366,"journal":{"name":"2023 2nd International Conference on Computational Systems and Communication (ICCSC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121066110","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}

{"title":"Highly Accurate Protein Structure Classification and Prediction","authors":"Anirban Saha, Indranil Sarkar","doi":"10.1109/ICCSC56913.2023.10142975","DOIUrl":"https://doi.org/10.1109/ICCSC56913.2023.10142975","url":null,"abstract":"Proteins are the main building blocks for any form of life known to us as of now, and it is the actuators of biophysical and chemical events occurring in living organisms. Biological functions are enabled by their naive structure, which plays a very important and crucial role in the design of vaccines and drugs. This acts as one of the main sources of motivation in predicting protein structure from its sequence of amino acids coupled with other information to get highly accurate prediction and classification, which indeed is one of the fundamental computational biology problems. As of now, not much focus has been given to the inclusion of sidechain structure information and prediction of the protein backbone. In this paper, it is shown that a new dataset called SidechainNet, which extends from the ProteinNet dataset, can be used to predict and classify the structure of proteins more accurately. This is because SidechainNet consists of angle and atomic coordinate information, which describes almost all the heavy atoms of each and every protein structure. The background information on the availability of data on the protein structure and the importance of ProteinNet is discussed. It is followed by the beneficial inclusion of additional information that SidechainNet has, which helps in predicting the structure of the protein more accurately. At last, it is shown how using a Machine Learning model, a highly accurate protein structure is obtained by applying SidechainNet as its dataset.","PeriodicalId":184366,"journal":{"name":"2023 2nd International Conference on Computational Systems and Communication (ICCSC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114171804","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}

{"title":"5G Channel Estimation of NOMA-OFDM System using Arctangent LMS Algorithm","authors":"Misrak Alayu, Manidipa Sarkar, S. Nanda","doi":"10.1109/ICCSC56913.2023.10143017","DOIUrl":"https://doi.org/10.1109/ICCSC56913.2023.10143017","url":null,"abstract":"Technology has dramatically advanced in the modern era, and wireless communications are now essential. The non- orthogonal multiple access (NOMA) system can be used with the orthogonal frequency division multiplexing (OFDM) approach to attain higher spectral efficiency. Due to its improved spectrum efficiency, NOMA has recently drawn a large interest and could be crucial in advancing network capability. For this study, we propose the Arctangent Least Mean Square (ATLMS) Algorithms, which are created for channel estimations in the NOMA-OFDM system and aim to minimize BER, and MSE and also to boost the system capacity as well as the number of accessible users. The suggested method for channel estimation impact on the NOMA-OFDM system is demonstrated using simulation data.","PeriodicalId":184366,"journal":{"name":"2023 2nd International Conference on Computational Systems and Communication (ICCSC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130511663","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}

{"title":"Synonym Insensitive Searching: A Novel Synonym Weighted-Vector Space Model for Document Retrieval","authors":"Mumthaz Beegum M, A. S, Raveena Vijayan","doi":"10.1109/ICCSC56913.2023.10142977","DOIUrl":"https://doi.org/10.1109/ICCSC56913.2023.10142977","url":null,"abstract":"Document retrieval will become challenging when it deals with the unique capability of natural languages to present content in different forms using synonyms, usages, and their complex combinations. Most of the existing information retrieval systems are struggling to retrieve documents with a similar meaning, and they are helpful only to get documents based on matching keywords. The query expansion is a logically simple and straightforward technique to improve the effectiveness of information retrieval in this background. The existing statistical approach depends mainly on the term frequency to generate candidate documents for the expanded or normal query. Most of the existing works do not consider the ways in which the content in a particular document can be represented differently by keeping the same context. This paper proposes a novel Synonym Weighted - Vector Space Model and query expansion technique for an effective synonym-incorporated method for document retrieval. The combination of modified Term Frequency - Inverse Document Frequency(TF-IDF) and synonym extended VSM has given a promising outcome for the experiments throughout the study. The proposed method is validated with two English-written publicly available datasets - CACM and CISI. The quantitative measures, like mean average precision, precision, recall, and F-measure obtained in the experiments are found to be better for the proposed method compared with the classical VSM and other baseline methods in the problem domain. We could obtain the highest precision of 0.83 and 0.65 for the CACM and CISI datasets respectively.","PeriodicalId":184366,"journal":{"name":"2023 2nd International Conference on Computational Systems and Communication (ICCSC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133926949","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}

{"title":"Ascribing Machine Learning Classifiers to diagnose the attacks of Alternaria solani on Leaves of Solanum tuberosum","authors":"Anurag Dutta, Pijush Kanti Kumar, Ankita De, Padmanavan Kumar, Shubhangi Dwivedi, J. Harshith","doi":"10.1109/ICCSC56913.2023.10142978","DOIUrl":"https://doi.org/10.1109/ICCSC56913.2023.10142978","url":null,"abstract":"Following the recent advances in technology, came advanced computational domains like, Internet of Things, Machine Learning, Artificial Intelligence, Data Science, and many more. These fields really tend to help mankind a lot. In this work, we would make use of Machine Learning aspects to perform prediction of diseases in plant. Specifically, spot the Early Blight Disease in the Potato Leaves. The potato plant, Solanum tuberosum, is a significant crop that is grown all over the world and generates large quantities of tubers that are a good source of nutrients. The potato has many medicinal benefits in addition to being a common staple diet. When the fluid out from tubers is consumed in moderation, it can treat gastric ulcers and relieve inflammation and acidity. Two harmful potato diseases, late blight and early blight, are pervasive. Everywhere potatoes are cultivated, both are present. The labels “Early” and “Late” allude to the relative timing of their field emergence, however both disorders might manifest simultaneously. In this work, we would focus on Early Blight. The fungus Alternaria solani, that can infect potatoes, tomatoes, several species of the potato genus, and some mustards, is the cause of early blight of potatoes. Young, actively growing plants are rarely impacted by this disease, commonly known as target spot. It first appears on elder leaves. Warm temperatures and heavy humidity foster Early Blight. This disease affects the tuber symptomized by dark, rounded to irregular dots being developed on the tuber. As the disease develops, the flesh of the potatoes commonly becomes water-soaked yellow to greenish yellow. For this work, we have collected a set of nearly 1000 samples of Early Blight affected Potato Leaves. Using that, we have modelled a Machine Learning Classification Paradigm that could potentially predict the occurrence of Early Blight Disease making using of classical classifier algorithms. Medical Science have advanced to a great height. If we could potentially predict the disease, in the early stages, Plant Pathology could stop the menace from occurrence.","PeriodicalId":184366,"journal":{"name":"2023 2nd International Conference on Computational Systems and Communication (ICCSC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130120889","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}

{"title":"A Survey on Routing Algorithms and Techniques Used to Improve Network Performance in Software-Defined Networking","authors":"Suryanarayan Menon A., Sanjay J Prakash, Vinayak Naveen, Roshan Aji Cherian, Ron Regi Zacharia, S. S., Josna Vr","doi":"10.1109/ICCSC56913.2023.10143010","DOIUrl":"https://doi.org/10.1109/ICCSC56913.2023.10143010","url":null,"abstract":"The growth of network infrastructure over the years, including the increasing number of devices and users connecting to networks, the increasing complexity of network environments, and the need for more flexible and efficient network management, has led to the emergence of Software-Defined Networking (SDN) as a feasible means of support. SDN is a networking approach that uses software to abstract, manage, and control the network infrastructure. In SDN, the control plane, which determines how data is routed through the network, is separated from the data plane, which forwards the traffic. This separation allows the control plane to be more flexible and programmable, enabling administrators to easily configure and manage the network using the software. There are several routing algorithms and techniques that can be used to improve network performance in Software-Defined Networking. Shortest Path Routing is a common routing algorithm along with Segment Routing and may be capable of speeding up the network's overall performance by decreasing the time it takes for traffic to reach its destination. Load Balancing is a technique that involves distributing traffic across multiple resources, such as servers or network devices, to optimize the use of resources and improve the performance of the network. For this, there exist several techniques such as Round Robin and Ant Colony Optimization. Another such technique used to optimize the use of resources and improve the overall performance of the network is Traffic Engineering - where software is used to route traffic through the network based on various criteria, such as the type of traffic, the source, and destination of the traffic, or the current load on the network. There have been numerous studies in these fields investigating the feasibility of novel systems and solutions that have been proposed for improving network performance. This paper goes into the methodologies followed for these systems and the impacts they have had on generating increments in network performance.","PeriodicalId":184366,"journal":{"name":"2023 2nd International Conference on Computational Systems and Communication (ICCSC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124199034","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}

{"title":"Intelligent Rover: An IoT Based Smart Surveillance Robotic Car for Military","authors":"Safa Mohammed Sali, K. Joy","doi":"10.1109/ICCSC56913.2023.10143011","DOIUrl":"https://doi.org/10.1109/ICCSC56913.2023.10143011","url":null,"abstract":"Intelligent Rover is a military based surveillance robotic car that is trained to detect human beings and weapons while moving according to the user need. Intelligent Rover is controlled via smart phone and uses raspberry pi and Arduino to achieve the mission of the rover. It captures live video using picamera and streams it, which can be viewed from a webpage. The camera can be swiveled horizontally and vertically. Intelligent Rover employs yolo V3 algorithms to detect weapons and persons individually. When it detects any objects, it notifies the user via an email. The DC motors connected to the wheels sets the rover into motion that is controlled through the webpage from smartphone or any other devices. This robotic automobile is also capable of detecting metals via sensors and notifies the same to the user via email.","PeriodicalId":184366,"journal":{"name":"2023 2nd International Conference on Computational Systems and Communication (ICCSC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115904432","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}