International Journal of Advanced Research in Computer Science最新文献_第2页

INCORPORATING DENSITY IN K-NEAREST NEIGHBORS REGRESSION 在k近邻回归中结合密度

International Journal of Advanced Research in Computer Science Pub Date : 2023-06-20 DOI: 10.26483/ijarcs.v14i3.6989

M. Mahfouz

{"title":"INCORPORATING DENSITY IN K-NEAREST NEIGHBORS REGRESSION","authors":"M. Mahfouz","doi":"10.26483/ijarcs.v14i3.6989","DOIUrl":"https://doi.org/10.26483/ijarcs.v14i3.6989","url":null,"abstract":"The application of the traditional k-nearest neighbours in regression analysis suffers from several difficulties when only a limited number of samples are available. In this paper, two decision models based on density are proposed. In order to reduce testing time, a k-nearest neighbours table (kNN-Table) is maintained to keep the neighbours of each object x along with their weighted Manhattan distance to x and a binary vector representing the increase or the decrease in each dimension compared to x’s values. In the first decision model, if the unseen sample having a distance to one of its neighbours x less than the farthest neighbour of x’s neighbour then its label is estimated using linear interpolation otherwise linear extrapolation is used. In the second decision model, for each neighbour x of the unseen sample, the distance of the unseen sample to x and the binary vector are computed. Also, the set S of nearest neighbours of x are identified from the kNN-Table. For each sample in S, a normalized distance to the unseen sample is computed using the information stored in the kNN-Table and it is used to compute the weight of each neighbor of the neighbors of the unseen object. In the two models, a weighted average of the computed label for each neighbour is assigned to the unseen object. The diversity between the two proposed decision models and the traditional kNN regressor motivates us to develop an ensemble of the two proposed models along with traditional kNN regressor. The ensemble is evaluated and the results showed that the ensemble achieves significant increase in the performance compared to its base regressors and several related algorithms.","PeriodicalId":287911,"journal":{"name":"International Journal of Advanced Research in Computer Science","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125736290","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

A FRAMEWORK FOR DECODING PHYSIOLOGICAL AND NEURAL SIGNAL USING LONG SHORT-TERM MEMORY (LSTM) 利用长短期记忆(lstm)解码生理和神经信号的框架

International Journal of Advanced Research in Computer Science Pub Date : 2023-06-20 DOI: 10.26483/ijarcs.v14i3.6986

O. Mary

{"title":"A FRAMEWORK FOR DECODING PHYSIOLOGICAL AND NEURAL SIGNAL USING LONG SHORT-TERM MEMORY (LSTM)","authors":"O. Mary","doi":"10.26483/ijarcs.v14i3.6986","DOIUrl":"https://doi.org/10.26483/ijarcs.v14i3.6986","url":null,"abstract":"Machine learning for deciphering physiological and neural signals holds great promise for use in creating brain-computer interfaces. (BCIs). Brain-computer interfaces (BCIs) are tools for using mental activity to operate mechanical or electronic equipment. To convert these signals into actionable instructions for the external device, machine learning algorithms are employed. Brain-computer interfaces (BCIs) have shown considerable promise in enhancing the lives of people who are unable to use their limbs normally due to injury or illness. This paper presents an LSTM model for the decoding of physiological and neural signals. In this paper, an electroencephalography brain signal data was used. The dataset was pre-processed so as to remove noise from the data. The pre-processed data was used in training the LSTM model. The LSTM model was trained on fourteen (14) steps. The result of the LSTM model showed an accuracy of 85% at the first step and a validation (testing) accuracy of 90%. For the fourteenth step, the model achieved an accuracy result of 98% for training and 94% for validation (testing). We also evaluated the performance of the model using a classification report and confusion matrix. The result of the classification report shows an accuracy of 95%. This means that the performance of the model on the test data is efficient. The confusion matrix was used in how well the model classified the electroencephalography signal The result of the confusion matrix shows that the model predicted the result correctly to be neutral 151 out of 153, positive to be 127 out of 142, and negative to be 128 out of 132. The result shows that the level of false positive and negative values is minimal.","PeriodicalId":287911,"journal":{"name":"International Journal of Advanced Research in Computer Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129501567","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

SDR DESIGN AND IMPLEMENTATION OF DIFFERENTIAL STBC TRANSMISSION 差分STBC传输的SDR设计与实现

International Journal of Advanced Research in Computer Science Pub Date : 2023-06-20 DOI: 10.26483/ijarcs.v14i3.6974

Even Becker

引用次数: 0

HARNESSING DEEP LEARNING FOR WILDFIRE RISKS PREDICTION: A NOVEL APPROACH 利用深度学习进行野火风险预测:一种新方法

International Journal of Advanced Research in Computer Science Pub Date : 2023-06-20 DOI: 10.26483/ijarcs.v14i3.6983

Hoang Anh Duc

引用次数: 0

SEPERATING POWER LINE USING LIDAR POINT ELEVATION AND INTENSITY 利用激光雷达点高程和强度分离电力线

International Journal of Advanced Research in Computer Science Pub Date : 2023-06-20 DOI: 10.26483/ijarcs.v14i3.6981

Nguyen Thi Huu Phuong

引用次数: 0

E-HEALTH ARMBAND REMINDER WITH GPS TRACKER FOR STREET SWEEPER OF CENRO CALAMBA CITY, LAGUNA 拉古纳省塞诺卡兰巴市的扫街工人使用的电子卫生手环，带有GPS追踪器

International Journal of Advanced Research in Computer Science Pub Date : 2023-06-20 DOI: 10.26483/ijarcs.v14i3.7000

Tricia Mayrina

{"title":"E-HEALTH ARMBAND REMINDER WITH GPS TRACKER FOR STREET SWEEPER OF CENRO CALAMBA CITY, LAGUNA","authors":"Tricia Mayrina","doi":"10.26483/ijarcs.v14i3.7000","DOIUrl":"https://doi.org/10.26483/ijarcs.v14i3.7000","url":null,"abstract":"This study presents the development of an E-Health Armband Reminder with a GPS tracker designed specifically for Street sweepers of CENRO Calamba City, Laguna. The objective of this project is to enhance the safety and efficiency of street sweeping operations by providing real-time monitoring and reminders to the sweepers. The E-health Armband Reminder incorporates a GPS tracker that allows supervisors to track the location of the sweepers in real-time. This feature enables efficient deployment of resources and facilitates prompt assistance in case of emergencies or accidents. Additionally, the armband serves as a reminder tool, providing alerts and notifications for hydration, Weather, and safety protocols. The system's development involved extensive research, analysis of user requirements, and collaboration with the street sweepers and CENRO Calamba City. The armband's design and functionality were optimized to suit the specific needs and constraints of the street sweeping operation. Preliminary testing of the E-Health Armband Reminder demonstrated promising results, showing improved task management as the Attendance monitoring and increased safety awareness among the street sweepers.","PeriodicalId":287911,"journal":{"name":"International Journal of Advanced Research in Computer Science","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125880804","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

INTELLIGENT FRAMEWORK FOR DETECTION OF PLANT/CROP DISEASES USING DEEP LEARNING 使用深度学习检测植物/作物病害的智能框架

International Journal of Advanced Research in Computer Science Pub Date : 2023-06-20 DOI: 10.26483/ijarcs.v14i3.6987

R. Gupta

{"title":"INTELLIGENT FRAMEWORK FOR DETECTION OF PLANT/CROP DISEASES USING DEEP LEARNING","authors":"R. Gupta","doi":"10.26483/ijarcs.v14i3.6987","DOIUrl":"https://doi.org/10.26483/ijarcs.v14i3.6987","url":null,"abstract":"The financial influence of agriculture today is expanding in tandem with the economy of our nation and has become the large industry which plays a vital and crucial role for the uplifting of our nation. Keeping track of plant diseases caused by the assistance of experts could be expensive when it comes to the agricultural area, so there is a need for a system capable of automatically identifying since it could revolutionize the monitoring of vast fields of crops and allow for the plant's treatment of leaves as soon as possible after disease detection. There are numerous illnesses that harm various plants/crops and hamper their growth and agricultural fields. So there is a need to identify the disease and tell how to recover from it. So there is a need to develop such an application which could help in the prediction of plant/crops disease and how to recover from the same. In many nations, including India, agriculture is a substantial industry. Given that a massive portion of the Indian financial system depends on agricultural production, it is crucial to give the issue of food production a careful study. The agricultural industry gave immense importance to the nomenclature and acknowledgment of crop infection on both technical and financial level. While monitoring the plant diseases which are caused in the agricultural fields with the help of experts could be very expensive in the long run so a technique or system that can recognize diseases automatically is required because it could change the way the vast fields of crops are monitored, and a perfect automated system could be built which could easily detect the plant diseases. It has become a necessity to develop an automated system which could easily detect the plant diseases beforehand and could easily help in overcoming them by suggesting the measures and techniques to overcome them. So that agricultural productivity could be increased, and agricultural production could be done properly with vast production of good quality crops which in turn help in growth of our nation.","PeriodicalId":287911,"journal":{"name":"International Journal of Advanced Research in Computer Science","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114388017","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

SEMG APPROACH FOR SPEECH RECOGNITION 语音识别的Semg方法

International Journal of Advanced Research in Computer Science Pub Date : 2023-06-20 DOI: 10.26483/ijarcs.v14i3.6970

Siddesh Shisode

引用次数: 0

MANGROVE SIMULATION: ATTENUATION OF STORM SURGES IN PROTECTING COASTAL AREA AND GEOSPATIAL SIMULATION MODEL OF MANGROVE FOREST IN PALSABANGON MANGROVE SWAMP FOREST RESERVE PAGBILAO, QUEZON 红树林模拟:滨海保护区风暴潮衰减及奎松帕比劳红树林沼泽保护区红树林地理空间模拟模型

International Journal of Advanced Research in Computer Science Pub Date : 2023-06-20 DOI: 10.26483/ijarcs.v14i3.6995

Harrold Gueta

{"title":"MANGROVE SIMULATION: ATTENUATION OF STORM SURGES IN PROTECTING COASTAL AREA AND GEOSPATIAL SIMULATION MODEL OF MANGROVE FOREST IN PALSABANGON MANGROVE SWAMP FOREST RESERVE PAGBILAO, QUEZON","authors":"Harrold Gueta","doi":"10.26483/ijarcs.v14i3.6995","DOIUrl":"https://doi.org/10.26483/ijarcs.v14i3.6995","url":null,"abstract":"The objective of this research is to designed and developed a system known as Mangrove Simulation: Attenuation of Storm Surges in Protecting Coastal Area and Geospatial Simulation Model of Mangrove Forest in Palsabangon Mangrove Swamp Forest Reserve Pagbilao, Quezon. The system incorporates various functionalities including web-based application and geographical information system for administrator and staff of Palsabangon Mangrove Swamp Forest Reserve. To utilize the Agent-Based model that simulate and predict the growth and spatial distribution of various mangrove species with regards to the environment. To evaluate of the accuracy of the algorithm in mangrove simulation with geographic information system mapping aims to improve they understanding of the ecological dynamics and spatial patterns of mangroves, and provide useful information for the management and conservation of mangrove ecosystems. The system underwent a comprehensive testing process to assess its functionality, suitability, reliability, performance efficiency, operability, security, compatibility, and maintainability. The results revealed that the system achieved an overall mean score of 4.09, indicating a \"Very Satisfactory\" rating. This signifies that both experts and clients were very satisfied with the system's characteristics. Moreover, it passed on the standard rating level of ISO/IEC 25010. This remark indicates that the system performed effectively and achieved its goals.","PeriodicalId":287911,"journal":{"name":"International Journal of Advanced Research in Computer Science","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117040665","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

STA-VISION19 ENABLING INTEROPERABILITY BETWEEN DISTINCT SYSTEMS Sta-vision19支持不同系统之间的互操作性

International Journal of Advanced Research in Computer Science Pub Date : 2023-06-20 DOI: 10.26483/ijarcs.v14i3.6976

Syed Taimoor Ali

{"title":"STA-VISION19 ENABLING INTEROPERABILITY BETWEEN DISTINCT SYSTEMS","authors":"Syed Taimoor Ali","doi":"10.26483/ijarcs.v14i3.6976","DOIUrl":"https://doi.org/10.26483/ijarcs.v14i3.6976","url":null,"abstract":"For the past few years, technology has been steadily rising and leading to rapid change in the development process. Information & Communication Technology (ICT) approaches have been moving toward new development trends with a huge elevation of comprehension. Service providers are always seeking customer satisfaction and due to multiple essentials, clients prefer to migrate from one application to another. Newer software applications are being launched, but they are constricted within a defined scope and cannot perform functions of interoperable components. Therefore,the aim of this study is to facilitate clients with multiple services over a single platform and gain knowledge about cloud computing, service computing techniques to enable flexibility and interoperability between applications. This work proposes an STA-Vision19 cloud platform and Service Integration Bridge (SIB) as solutions. To validate methods,abasic prototype for the proposedframework STA-Vision19 andtwo applications E-Learning and Blogging System were implemented. In results, software evaluation parameters, and testing results are discussed, which indicates that the proposed system can collaborate two or more applications and it is beneficial to use as compared to an isolated system.","PeriodicalId":287911,"journal":{"name":"International Journal of Advanced Research in Computer Science","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131148556","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