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检索条件"机构=Master of Science in Applied Computer Science"

共 49 条记录，以下是21-30 订阅

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Economic Order Quantity Method for a Virtual VM Distributed System

Economic Order Quantity Method for a Virtual VM Distributed ...

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International Conference on System Modeling & Advancement in Research Trends (SMART)

作者： Tajpal Monika Abrol Department of Master of Computer Application Chandigarh School of Business Jhanjeri Department of Applied Science Sanskriti University Mathura Uttar Pradesh India

ISBN: (纸本)9781665487351

Virtualized methods are gaining popularity nowadays. Cloud storage in some kind of a complex is also affected. The concept of this study is web grid connected capabilities and real environmental virtualized compute service. It emphasizes the congestion control mechanism as well. The suggested approach would use system dynamics to automatically migrate each computing infrastructure nodes and enhance its speed.

关键词： Wireless communication Economics Cloud computing Smart cards System dynamics Heuristic algorithms Clustering algorithms

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A Review Mostly on Identification of Early Tamil Extracts Actors Through Historical Writing

A Review Mostly on Identification of Early Tamil Extracts Ac...

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International Conference on System Modeling & Advancement in Research Trends (SMART)

作者： Anand Shukla Vipin Solanki Department of Master of Computer Application Chandigarh School of Business Jhanjeri Department of Applied Science Sanskriti University Mathura Uttar Pradesh India

ISBN: (纸本)9781665487351

Any technique that uses Extracts inscriptions and historical writing to identify characters translates into the modern Tamil text encoding. One of most difficult parts is identifying the oldest Tamil symbols. It is more hard to identify the symbols if the lettering are now on the surfaces. In texts written in English or other tongues, text detection has almost perfected itself. Owing to their existence from the third millennium B.c.e. to the fourth century CE, ancient sanskrit symbols in medieval manuscripts are exceedingly hard to ascertain. First, the vowels resemble phonetic vowel symbols; next, the publisher doesn't quite accurately transcribe the Extracts no.19; and third, the font are transcribed using various genres and stroked. As a result, the average accuracy in Written in sanskrit letters is not high. If this continues, the next population won't be able to identify the vital information our ancestors provided. Only one small number of individuals are recognized to have historic characteristics. In these seismic surveys, we evaluate several 'll look using tables.

关键词： Optical character recognition Sociology Symbols Machine learning Writing Phonetics Market research

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Agrobot is Used for Robotic Soil Regulate Chemical Seeding

Agrobot is Used for Robotic Soil Regulate Chemical Seeding

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International Conference on System Modeling & Advancement in Research Trends (SMART)

作者： Bharti Bedi Umesh Sharma Department of Master of Computer Application Chandigarh School of Business Jhanjeri Department of Applied Science Sanskriti University Mathura Uttar Pradesh India

ISBN: (纸本)9781665487351

Farm bots include Agrobot. It aims to lower labourers simultaneously boosting precision and effectiveness. Therefore in research, we offer developed a framework for building things a programmable quadcopter for spreading crops in agro. The fertigation machinery is applied to mechanically encourage the growth, and also the soil sensing serves to measure the liquid limit. A expansion demands increasing agriculture, so calls for improved livestock farming including efficient planting & fertiliser application. A strategy that reduces the hunter's job but while cutting down on time needed excavating, spreading plants, and wasting water is what is meant by the descriptive method. Due to its role in rainwater harvesting, the humidity status gauge is crucial. An Pic microcontroller processor receives data from a soil detect the amount of moisture present in the ground. The designed robots system is completely controlled, decreasing the agricultural production' burden.

关键词： Soil measurements Profitability Crops Prototypes Production Soil Robot sensing systems

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IoT (Internet of Things) Going to Monitor System for Safe Agricultural Production Application

IoT (Internet of Things) Going to Monitor System for Safe Ag...

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International Conference on System Modeling & Advancement in Research Trends (SMART)

作者： Samriti Bhagat Monika Abrol Department of Master of Computer Application Chandigarh School of Business Jhanjeri Department of Applied Science Sanskriti University Mathura Uttar Pradesh India

ISBN: (纸本)9781665487351

Real-time system management greatly benefits from the use of IoT (Internet of Things) solutions that are well-designed. Wireless sensors were taken into account by Internet of Things technology to control power usage. Smart sensors built on sensor units provide efficient power management system for the smart link. The communications system measures voltage consumption. It is beneficial to push a smart agriculture system above conventional ways by using IoT and other technologies. To obtain all the data about the use and efficacy of IoT, a survey with three main items was administered to 65 participants in this study. The study has provided the debate and analysis as well as the answer to the survey questions. Findings and research showed that the cost of the Basic Network infrastructure for agricultural areas is affordable; but the cost is greatly increased by the incorporation of specific features in the sensing devices. Additionally, the internet connectivity in farms and communities is subpar, which hinders the exchange of information among farmers and agricultural specialists.

关键词： Wireless communication Smart agriculture Wireless sensor networks Costs Voltage measurement Soil Real-time systems

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Deep Reinforcement Learning-based Obstacle Avoidance for Robot Movement in Warehouse Environments 6

Deep Reinforcement Learning-based Obstacle Avoidance for Rob...

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6th IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2024

作者： Li, Keqin Chen, Jiajing Yu, Dezhi Dajun, Tao Qiu, Xinyu Lian, Jieting Ji, Ryan Zhang, Shengyuan Wan, Zhenyu Sun, Baiwei Hong, Bo Ni, Fanghao Han, Jiaqi Ama University Department of Computer Science Quezon Philippines Courant Institute New York University 251 Mercer St New YorkNY10012 United States University of California Berkeley University Avenue and Oxford St School of Information BerkeleyCA94720 United States Carnegie Mellon University Master of Science in Mechanical Engineering School of Engineering 5000 Forbes Avenue PittsburghPA United States Northeastern University College of Engineering Seattle United States School of Professional Studies New York University Master of Science in Database Technology 50 West 4th Street New YorkNY United States Cornell University College of Engineering 616 Thurston Ave IthacaNY14853 United States Cornell University Master of Professional Science in Applied Statistics-Data Science College of Computing and Information Science 616 Thurston Ave IthacaNY United States Independent Researcher Beijing China University of California Irvine Master of Computer Science Donald Bren School of Information and Computer Sciences 510 Aldrich Hall IrvineCA United States Northern Arizona University School of Informatics Computing and Cyber Systems FlagstaffAZ United States Shanghai Institute of Technology Shanghai China

ISBN: (纸本)9798350389418

This paper proposes a deep reinforcement learning based on the warehouse environment, the mobile robot obstacle avoidance Algorithm. Firstly, the value function network is improved based on the pedestrian interaction. We can learn to obtain the relative importance of the current state and the historical trajectory state as well as the joint impact on the robot's obstacle avoidance strategy. Secondly, the reward function of reinforcement learning is designed based on the spatial behaviour of pedestrians, and the robot is punished for the state where the angle changes too much, so as to achieve the requirement of comfortable obstacle avoidance. Finally, the feasibility and effectiveness of the deep reinforcement learning-based mobile robot obstacle avoidance algorithm in the warehouse environment in the complex environment of the warehouse are verified through simulation experiments. © 2024 IEEE.

关键词： Deep reinforcement learning

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GPRS and SMS base Blockchain Connection Fault site Locator

GPRS and SMS base Blockchain Connection Fault site Locator

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International Conference on Contemporary Computing and Informatics (IC3I)

作者： Ruchi Monika Abrol Department of Master of Computer Application Chandigarh School of Business Jhanjeri India Department of Applied Science Sanskriti University Mathura Uttar Pradesh India

Power cables that are frequently employed to electrostatic forces are typically buried under the soil in urban areas to minimize excessive or hazardous blockage. As a consequence, pinpointing the precise location of any abnormalities that appear becomes quite difficult. Mining, natural catastrophes, construction, and other circumstances may occasionally cause a fault to happen. The line’s ambiguous placement makes the restoration method complicated. This created methodology aims to pinpoint underground network faults. But use an embedded system and other hardware, Microfarads law is now being utilized to accurately locate a central server across a km-long distance. The wire that detects the current flowing through the circuit and is linked to the Arduino ide of just this technology is symbolized by a set of resistors. The issue is established by that of the toggle set, and the Tft is linked to the mcu that gives details. If a mistake appears, Gprs Detects and displays the specific location of the problem area upon that Tft. It notifies the recorded contact information of the position of the connection through Sim sms.

关键词： Resistors Power cables Wires Urban areas Switches Transforms Soil

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A proposal of self-configuration in Wireless Sensor Network for recovery of broken paths

A proposal of self-configuration in Wireless Sensor Network ...

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IEEE Sensors Applications Symposium, SAS

作者： Harilton da S. Araújo Wagner L. T. de Castro Raimir Holanda Filho Technology Sciences Center Master in Applied Computer University of Fortaleza Fortaleza Cearà Brasil Technology Sciences Center Computer Science Dept University of Fortaleza Fortaleza Cearà Brasil

ISBN: (纸本)9781424449880

In the last decade, there was a great technological advancement in the areas of sensors, integrated circuits and wireless communication, which led to creation of Wireless Sensor Networks (WSN). This type of network is being used in areas such as tourism, education, medical, military and others. The applications, in that type of network, impose specific requisites related to the energy consumption and reliable delivery. The routing protocols, for the WSN, must have self-configuration characteristics aimed at discovering which is the best way for transferring the information, with delivery assurance and with minimum energy consumption, among the nodes that compose the network. This article proposes a modification of the Directed Diffusion routing protocol so as to reduce the energy consumption in the network when there is an occurrence of failures. The proposal utilizes a Geocast approach to repair broken paths by constructing a new routing tree. The performed simulations demonstrated that our proposal is more efficient from the energy viewpoint.

关键词： Proposals Wireless sensor networks Energy consumption Routing protocols Sensor phenomena and characterization Capacitive sensors computer networks Integrated circuit technology Ear computer science

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The Effect of Music and Light-Color as a Machine Empathic Response on Stress in Occupational Health

The Effect of Music and Light-Color as a Machine Empathic Re...

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International Conference on Control, Decision and Information Technologies (CoDIT)

作者： André s Felipe Dorado Karl Daher Elena Mugellini Denis Lalanne Omar Abou Khaled Master in Computer Science BeNeFri program University of Bern Switzerland University of Applied Sciences of Western Switzerland Fribourg Switzerland Human-IST University of Fribourg Fribourg Switzerland

In a world where technological advancements are progressing at a vertiginous pace, social networks, online games, virtual worlds, streaming services, and remote work are part of everyday life. This is the case for the work environment, with the use of technological tools and home offices. In contrast, harmful aspects have been amplified, such as stress that affects occupational health. Lately, considerable interest has been gained in the affective domain in improving the occupational situation using empathic responses. In this work, we study the effect of machine empathic responses such as blue light, relaxing music, and the combination of light and music on people performing stressful tasks in an occupational environment. Thirty five participants tested different stimuli, eleven tested the music condition, twelve the light effect, and another twelve the combination of light and music. The monitoring of the heart rate variability along with psychological measures show that empathic responses can help reduce humans stress levels.

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Research on Deep Learning of Convolutional Neural Network for Action Recognition of Intelligent Terminals in the Big Data Environment and its Intelligent Software Application

Research on Deep Learning of Convolutional Neural Network fo...

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IEEE International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)

作者： Jiahan Sun Shengyuan Zhang Jieting Lian Lei Fu Zijie Zhou Yuxin Fan Kai Xu Shenyang Jianzhu University Shenyang China Master of Professional Science in Applied Statistics- Data Science College of Computing and Information Science Cornell University New York America Master of Science in Database Technology School of Professional Studies New York University New York America Master of Science in Computer Software Engineering College of Engineering Northeastern University Boston Massachusetts USA University of Pennsylvania Philadelphia Pennsylvania USA PipeChina Zhejiang Pipeline Network Co. LTD. Hangzhou China

ISBN: (数字)9798350377033

ISBN: (纸本)9798350377040

To enhance the accuracy and reliability of big data network traffic intrusion detection, an innovative detection model based on the two-branch convolution and gated recurrent unit was constructed, and its application effectiveness in the field of software engineering was thoroughly explored. This model first performs preprocessing operations on the original network traffic data, and then imports it as input information into the core architecture system jointly composed of the two-branch convolution and gated recurrent unit. Among them, the two-branch convolution focuses on quickly and accurately extracting the multi-dimensional features of the network traffic data, while the gated recurrent unit emphasizes on modeling and analyzing the long-term correlation patterns in the feature sequence. Through the organic combination of the two, the potential features of the data are deeply mined. Subsequently, the obtained feature output is directly transmitted to the classifier, so as to achieve accurate discrimination of various types of network traffic such as normal traffic, DoS attack traffic, DDoS attack traffic, port scanning traffic, and SQL injection attack traffic. The comparison experiment data shows that for network traffic data from different sources and with diverse patterns, the detection accuracy rate of this model is as high as 84.3%. This result strongly verifies its high efficiency and practicality in the field of big data network traffic intrusion detection, provides a solid technical guarantee foundation for the network security protection link in software engineering, has important theoretical and practical values, and is expected to promote the further development and application expansion of network security technologies.

关键词： Accuracy Convolution Telecommunication traffic Big Data Logic gates Feature extraction Data models Software Convolutional neural networks Software engineering

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Mapping CMMI Project Management Process Areas to SCRUM Practices

Mapping CMMI Project Management Process Areas to SCRUM Pract...

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Annual IEEE/ NASA Goddard Workshop on Software Engineering

作者： Ana Sofia C. Marcal Felipe S. Furtado Soares Bruno Celso C. de Freitas Arnaldo D. Belchior University of Fortaleza - Master's Degree in Applied Computer Science Fortaleza CE Brazil C.E.S.A.R – Recife Center of Advanced Systems and Studies Recife PE Brazil

Over the past years, the capability maturity model (CMM) and capability maturity model integration (CMMI) have been broadly used for assessing organizational maturity and process capability throughout the world. However, the rapid pace of change in information technology has caused increasing frustration to the heavyweight plans, specifications, and other documentation imposed by contractual inertia and maturity model compliance criteria. In light of that, agile methodologies have been adopted to tackle this challenge. The aim of our paper is to present mapping between CMMI and one of these methodologies, Scrum. It shows how Scrum addresses the Project Management Process Areas of CMMI. This is useful for organizations that have their plan-driven process based on the CMMI model and are planning to improve its processes toward agility or to help organizations to define a new project management framework based on both CMMI and Scrum practices.

关键词： Project management Capability maturity model Coordinate measuring machines Information technology Documentation Process planning Dynamic programming computer science Software quality Customer satisfaction

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