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AN ADVANCED FLIGHT SCHEDULING APPLICATION BASED ON DIJKSTRA`S ALGORITHM 基于dijkstra算法的高级航班调度应用
BSSS Journal of Computer Pub Date : 2023-06-30 DOI: 10.51767/jc1406
Aradhana Iris Singh, Hepzibah Christinal A.
{"title":"AN ADVANCED FLIGHT SCHEDULING APPLICATION BASED ON DIJKSTRA`S ALGORITHM","authors":"Aradhana Iris Singh, Hepzibah Christinal A.","doi":"10.51767/jc1406","DOIUrl":"https://doi.org/10.51767/jc1406","url":null,"abstract":"Dijkstra`s Algorithm is a popular example of a greedy solution to the problem of determining the shortest path. This algorithm calculates the most direct and shortest journey and is majorly used in routing, rail networks, maps, etc. Its application to both directed and undirected graphs has the same goal, which is to determine the path that travels the least distance from the starting node, also known as the origin node, to any other node along the tracks. In this article, we are going to implement an application of this algorithm, but this time with a minor tweak. a travel agency asks for software that can create flight schedules for their customers, and the agent has the access to a database that lists all of the airports and flights. In this scenario, the agent is able to create flight schedules for their customers. In addition to the flight number, the airport of departure and arrival, and the destination, each trip`s times of departure and arrival are listed. The agent is interested in finding out the earliest possible arrival time at the destination, given both the airport of departure and the time at which the trip will begin. It was observed during implementation that, if the method is correctly applied, the overall cost for building every flight priority queue is O(m). For the airport priority queue, the overall cost using a heap is O((n + m) log n))","PeriodicalId":408370,"journal":{"name":"BSSS Journal of Computer","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128107258","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
ROLE OF HUMAN COMPUTER INTERACTION 人机交互的作用
BSSS Journal of Computer Pub Date : 2022-06-30 DOI: 10.51767/jc1304
Simran Raj
{"title":"ROLE OF HUMAN COMPUTER INTERACTION","authors":"Simran Raj","doi":"10.51767/jc1304","DOIUrl":"https://doi.org/10.51767/jc1304","url":null,"abstract":"Human computer interaction is developing now a days due to innovations in computer technology. The people who are young, educated and technically knowledgeable are involve in the experiment of human computer interaction. This paper aim is to focuses on the intellectual model in Human Computer Interaction. There are different methodologies of this review paper and among them is call attention to the current method, results and the tendencies in the human computer interaction and the second approach to discover a approach that have been discovered earlier but nowadays trailing behind. This paper also covers the emotional intelligence aspect of the user such as fidelity prototyping. The progress and strategy of an automated system that perform such task is still being accomplished.","PeriodicalId":408370,"journal":{"name":"BSSS Journal of Computer","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124282017","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: 2
REVIEW ON COMBINING BIOMETRIC AND BEHAVIORAL AUTHENTICATION TECHNIQUES FOR SECURE MOBILE CLOUD COMPUTING 安全移动云计算中生物识别与行为认证技术的结合研究进展
BSSS Journal of Computer Pub Date : 2022-06-30 DOI: 10.51767/jc1312
Arjun Jadhaw, Rahul Sharma
{"title":"REVIEW ON COMBINING BIOMETRIC AND BEHAVIORAL AUTHENTICATION TECHNIQUES FOR SECURE MOBILE CLOUD COMPUTING","authors":"Arjun Jadhaw, Rahul Sharma","doi":"10.51767/jc1312","DOIUrl":"https://doi.org/10.51767/jc1312","url":null,"abstract":"Cloud computing is one of the widely used technology and its use is increasing day by day due to its sharing of services over the internet. The area of concern is its security and privacy issues especially for the smart-phone users. Several security approaches had been introduced to safeguard users from unauthorized access but the security standard with the smart-phone devices are still not up to the mark and uses the typical username and passwords based authentication techniques. This paper is proposing a hybrid authentication approach combining two security modalities i.e. biometric and behavioral keystroke dynamics based user authentication which is designed to provide authentication with the existing username and password along with the biometric and behavioral keystroke dynamics based authentication with the use of biometric fingerprint scanner and keyboard thereby reducing the high cost of additional hardware devices since both are the integral part of the smart-phones these days. This approach will provide a secure access to the smart-phone users for a secure cloud environment efficiently than the existing methods.","PeriodicalId":408370,"journal":{"name":"BSSS Journal of Computer","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122614005","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
STUDY ON CLOUD COMPUTING SERVICES IN THE MODERN WORLD 现代世界的云计算服务研究
BSSS Journal of Computer Pub Date : 2022-06-30 DOI: 10.51767/jc1309
Vineet Kumar Emeliya, Jean George
{"title":"STUDY ON CLOUD COMPUTING SERVICES IN THE MODERN WORLD","authors":"Vineet Kumar Emeliya, Jean George","doi":"10.51767/jc1309","DOIUrl":"https://doi.org/10.51767/jc1309","url":null,"abstract":"Cloud computing is playing a vital role in giving their services to the customers on demand and paying only for the service they are using over the internet .cloud computing provides the infrastructure, tools ,applications etc to the customer according to their requirement. In this paper, we study about different type of services offered by cloud service provider. We will discuss about the ranking method in order to choose the best cloud service provider. Application of the cloud computing is also discussed in this paper such as cloud computing in E-learning and healthcare. We believe that in the way cloud is making every business to run smoothly without the installation of infrastructure on premises, it is also very important to know about its advantages and disadvantages and to select them accordingly.","PeriodicalId":408370,"journal":{"name":"BSSS Journal of Computer","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130269694","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
IMAGE CAPTIONING 图像字幕
BSSS Journal of Computer Pub Date : 2022-06-30 DOI: 10.51767/jc1306
R. Niveda, S. Pavithra, D. Riddhi, S. P. SAHAYA BRIGHTY
{"title":"IMAGE CAPTIONING","authors":"R. Niveda, S. Pavithra, D. Riddhi, S. P. SAHAYA BRIGHTY","doi":"10.51767/jc1306","DOIUrl":"https://doi.org/10.51767/jc1306","url":null,"abstract":"Image captioning using artificial intelligence is a growing trend. This is formally known as automatic image annotation- a process by which a computer system will generate an automatic textual description to a corresponding image by making use of NLP (Natural Language Processing) and Computer Vision. In today’s day and age where visual data is abundant, Image Captioning plays a significant role in various applications and in recent years, it has gained a lot of study attention in the field of cognitive computing. This research paper contains the analysis and comparison of a few common and efficient image caption generation methods.","PeriodicalId":408370,"journal":{"name":"BSSS Journal of Computer","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114883913","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
CHARACTER RECOGNITION 字符识别
BSSS Journal of Computer Pub Date : 2022-06-30 DOI: 10.51767/jc1305
S. Narmatha, R. Pooja Shree, R. S. Prajashni, S. R. Kumar
{"title":"CHARACTER RECOGNITION","authors":"S. Narmatha, R. Pooja Shree, R. S. Prajashni, S. R. Kumar","doi":"10.51767/jc1305","DOIUrl":"https://doi.org/10.51767/jc1305","url":null,"abstract":"Character recognition has numerous applications namely postal addresses, bank check amounts, documents, number plates, etc. Development of a recognition system is an emerging need for digitizing handwritten documents that use Tamil characters. Therefore, we created a prediction model to recognize Tamil characters, the model works based on the Deep convolutional neural network (CNN). In this project, model is sequential. It is like a derivation of LeNet-4 architecture, including a dropout layer.A dataset for few Tamil characters is created, along with the recognition model. It helps people in identifying the exact script written in document, where some may find it difficult to recognize the characters written in paper due to colloquial writing and different handwriting styles. CNN have given excellent results to old fashioned shallow networks in acknowledgement tasks. To avoid overfitting in the recognition model, accuracy is increased by using dropout layer and dataset increment method. With the help of these methods in the CNN model, test accuracy rate was increased. The modifiedCNN architecture achieved a highest test accuracy of 97.75%.","PeriodicalId":408370,"journal":{"name":"BSSS Journal of Computer","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130028170","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
DIGITAL SOBRIETY: SOLUTION FOR DIGITAL POLLUTION ANDA TOOL FOR PROMOTING ENVIRONMENTAL SUSTAINABILITY 数字清醒:数字污染的解决方案和促进环境可持续性的工具
BSSS Journal of Computer Pub Date : 2022-06-30 DOI: 10.51767/jc1310
S. Yadav
{"title":"DIGITAL SOBRIETY: SOLUTION FOR DIGITAL POLLUTION ANDA TOOL FOR PROMOTING ENVIRONMENTAL SUSTAINABILITY","authors":"S. Yadav","doi":"10.51767/jc1310","DOIUrl":"https://doi.org/10.51767/jc1310","url":null,"abstract":"The recent global changes in the environment around us imply that the physical and digital worlds are becoming increasingly impacting. Digital technologies are progressively influencing industrial, agricultural, scientific, medical, educational, and other operations, as more and more aspects of daily life shift online. The application of environmental digital technologies in the context of global and national environmental monitoring, improving the safety of industrial firm operations, and enhancing environmental sustainability is a pressing necessity on the planet. Digital sobriety can be a solution for reducing digital pollution by requiring all digital players, whether customers, industry professionals, or public actors, to adjust their behaviour in order to assure the development of a sober, responsible, and ecologically ethical digital industry.","PeriodicalId":408370,"journal":{"name":"BSSS Journal of Computer","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127176163","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
IMPLEMENTING ASSISTIVE TECHNOLOGY FOR THE VISUALLY IMPAIRED USING DEEP LEARNING, COMPUTER VISION AND NLP 利用深度学习、计算机视觉和自然语言处理技术，为视障人士提供辅助技术
BSSS Journal of Computer Pub Date : 2022-06-30 DOI: 10.51767/jc1311
Rashi Agarwal, Vineet Jaruhar
{"title":"IMPLEMENTING ASSISTIVE TECHNOLOGY FOR THE VISUALLY IMPAIRED USING DEEP LEARNING, COMPUTER VISION AND NLP","authors":"Rashi Agarwal, Vineet Jaruhar","doi":"10.51767/jc1311","DOIUrl":"https://doi.org/10.51767/jc1311","url":null,"abstract":"Visual impairment can cause difficulties in performing daily activities. Unfamiliarity of places, hindrance in known routes, water puddles, pot holes, stray animals, sudden road incidents etc. decreases the confidence and interaction of the Visually Impaired People (VIP) leading to human assistance. We are presenting a human-like autonomous assistant which is in the form of a stick made with technologies such as Computer Vision, NLP, GPS, Deep Learning and Embedded Systems. VIP can communicate with the stick through Chatbot. He can get answers to general questions like weather status, time of the day, what is my location, where is point A, etc. and specific questions like what is in front of me, in which room I am, provide me the navigation from point A to point B etc.. In situations like an obstacle in the path, pot holes, ascending/descending stairs, approaching people etc., our stick will notify the VIP and will give him the clear path also. The stick will come along with a smart phone based application which will help in keeping a track of the location which can be shared with anyone. We have used CNN to make an object detection model which can classify 20 different objects. A day and night classifier is also included to correctly figure out the time of the day. The stick is equipped with a camera, ultrasonic and wet sensors, GPS module with controller. Real time video through camera will be captured and processed by the controller. Then this will evaluate the feed through object detection model. The outcome can be notified to the VIP through Chatbot. This will enable safety, security, control and more independence to the VIPs.","PeriodicalId":408370,"journal":{"name":"BSSS Journal of Computer","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114222633","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
COMPARISON OF PREDICTIVE MODELS IN DATA MINING AND IMPACTS OF AIR POLLUTION IN METROPOLITAN CITIES 大城市空气污染数据挖掘预测模型的比较与影响
BSSS Journal of Computer Pub Date : 2022-06-30 DOI: 10.51767/jc1302
Rahul Sharma, Renu Jaiswal, Ankit Chakrawarti
{"title":"COMPARISON OF PREDICTIVE MODELS IN DATA MINING AND IMPACTS OF AIR POLLUTION IN METROPOLITAN CITIES","authors":"Rahul Sharma, Renu Jaiswal, Ankit Chakrawarti","doi":"10.51767/jc1302","DOIUrl":"https://doi.org/10.51767/jc1302","url":null,"abstract":"In the past decades, as a result of the enormous environmental load, the air quality in the city has worsened in India. The remarkable increase in vehicle population and industries has led to the concentration of air pollutants in major metropolitan cities. The behavior of the air pollutants has a severs mash on human health and environment. To safeguard human health, the health risks posed by the increasing rate of air pollution on a wide scale must be projected and predicted. Monitoring and forecasting the vast amounts of data generated from numerous monitoring stations across the city has been a topic of debate. This led to the scientist to look for several predicting data mining techniques and big data analytics to monitor and predict the urban air quality. Data mining combines statistical, machine learning, and graphical approaches to extract information into a format that can be used in a variety of real-world applications. This study applies data mining to uncover the hidden knowledge of air pollution distribution in the voluminous data retrieved from monitoring stations National Air Monitoring Program (NAMP) station , National Ambient Air Quality (NAAQ) standards, Central Pollution Control Board. This article covers several ways to predicting urban air quality using data mining techniques such as linear regression, back propagation, and big data analytics such as Map reduction and Geostatistical algorithms","PeriodicalId":408370,"journal":{"name":"BSSS Journal of Computer","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121673355","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: 1
PERFORMANCE COMPARISON OF THE RESNET50 AND INCEPTIONV3 DEEP TRANSFER LEARNING MODELS OVER THE BREAST CANCER THERMOS GRAM DATASET resnet50和inceptionv3深度迁移学习模型在乳腺癌热图数据集上的性能比较
BSSS Journal of Computer Pub Date : 2022-06-30 DOI: 10.51767/jc1301
D. Tiwari, M. Dixit, Kamlesh Gupta
{"title":"PERFORMANCE COMPARISON OF THE RESNET50 AND INCEPTIONV3 DEEP TRANSFER LEARNING MODELS OVER THE BREAST CANCER THERMOS GRAM DATASET","authors":"D. Tiwari, M. Dixit, Kamlesh Gupta","doi":"10.51767/jc1301","DOIUrl":"https://doi.org/10.51767/jc1301","url":null,"abstract":"This paper simply illustrates a performance comparison of two generally used and efficient deep transfer learning architectures like Resnet50 and InceptionV3. The Resnet50 and IncetionV3 deep transfer learning models are trained and evaluated on the Infrared thermo-gram breast cancer dataset. In this study, both these models are trained as well as fine-tuned for the correct classification of breast cancer from the breast thermo-gram images. The Resnet50 model simply outperforms the InceptionV3 model by achieving an accuracy of more than 85 %.","PeriodicalId":408370,"journal":{"name":"BSSS Journal of Computer","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121942358","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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