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检索条件"任意字段=9th International Conference on Computer Aided Design and Computer Graphics"

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A design and Analysis of Customer Characteristics-based Classification using Intelligent Algorithm 9

A Design and Analysis of Customer Characteristics-based Clas...

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9th IEEE international conference for Convergence in Technology, I2CT 2024

作者： Pragathi, Jetti Sagar, D. M. S. Ramaiah University of Applied Sciences Computer Science Engineering Department Bengaluru560058 India

ISBN: (纸本)9798350394474

Customer segmentation is a key strategy in marketing and business that aims to divide a customer base into distinct groups based on common characteristics, preferences, and behaviors. this process enables businesses to tailor their marketing strategies, products and services to specific customer segments, increase customer satisfaction and maximize business results. In this context, the use of clustering algorithms such as k-means clustering, mini-batch clustering, and hierarchical clustering becomes essential to effectively categorize customers into meaningful groups. these algorithms provide a data-driven approach to uncovering patterns within large datasets, offering valuable insights for targeted marketing and personalized customer *** segmentation using k-means clustering involves data preparation, feature selection, and normalization. the optimal number of clusters (k) is determined using techniques such as the elbow method. the scikit-learn library in Python is commonly used to implement k-means. After fitting the model to the data, each customer is assigned to a cluster based on their characteristics. Visualizations such as scatter plots help interpret the results. the analysis of cluster characteristics and labeling of segments based on key features is crucial. the insights gained from segmentation can be used to adjust marketing strategies and improve the customer experience. this process allows businesses to understand different groups of customers, which improves targeted approaches and decision-making. © 2024 IEEE.

关键词： K-means clustering

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Interactive Packaging design and Use of Augmented Reality Technology on Packaging for the Elderly A Case Study of Herbal Tea Products, Doi Mae Salong Subdistrict, Mae Fah Luang District, Chiang Rai 9

Interactive Packaging Design and Use of Augmented Reality Te...

引用

Joint 9th international conference on Digital Arts, Media and Technology with 7th ECTI Northern Section conference on Electrical, Electronics, computer and Telecommunications Engineering, ECTI DAMT and NCON 2024

作者： Suphaphonthorn, Tunyaluk Jitkham, Panuphan Phiwongkun, Kasira. Chiangrai Rajabhat University Faculty of Digital Technology Chiangrai Thailand

ISBN: (纸本)9798350318241

the objectives of this research were to: 1) study the general condition of herbal tea packaging and problems with using packaging among the elderly;2) To design herbal tea packaging with the concept of universal design and use augmented reality (AR) technology to present product information. 3) To evaluate the effectiveness of herbal tea packaging and augmented reality technology (AR). the researcher has collected data from research documents. related theoretical concepts Together with the community participation process on information about the uniqueness of the Doi Mae Salong area, create story telling on the packaging. then design herbal tea packaging for the elderly consumer group with the concept of universal design in 3 formats, using innovation combining augmented reality technology (augmenter reality) with the idea of allowing consumers to access the aesthetics of drinking herbal tea with all 5 senses: 'form, taste, smell, sound, and touch' to show the value of the product, along with presenting the product through packaging that tells the story of the production source. and evaluate the effectiveness of herbal tea packaging and augmented reality (AR) technology. the tools used were: 1) semi-structured interviews to interview manufacturers, 2) a questionnaire on experts' opinions on herbal tea packaging, and 3) a form to evaluate the effectiveness of herbal tea packaging and the use of augmented reality (AR) technology on the packaging. the population and sample consisted of 100 male and female tourists aged 60-69 years by purposive random sampling. Data were analyzed using descriptive statistics, mean, and standard deviation (SD). Results of evaluating the effectiveness of herbal tea packaging and augmented reality (AR) technology in designing packaging suitable for the elderly Convenience Sales promotion Augmented reality (AR) technology has the highest overall level, x = (4.52) s.d. (0.56). © 2024 IEEE.

关键词： Product design

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designing an Ml-Powered Assistive Technology for People With Cognitive and Mental Disabilities 9

Designing an Ml-Powered Assistive Technology for People With...

引用

9th international conference on Science, Technology, Engineering and Mathematics, ICONSTEM 2024

作者： Roobini, M.S. Asish, B. Bhavani Challa, Sujeeth Kalaiarasi, G. Srividhya, E. Sathyabama Institute of Science And Technology Department of Computer Science And Engineering Chennai600119 India

ISBN: (纸本)9798350365092

the development of an assistive device powered by machine learning (ML) for people with cognitive and mental disorders is highlighted in this abstract. the objective is to develop an intelligent system that will improve these people's independence, communication, and quality of life. this technology's design incorporates ML algorithms, sensorbased data collecting, and an intuitive user interface. the system can understand and adapt to the particular requirements and difficulties faced by people with cognitive and mental disorders by employing ML approaches. the machine learning algorithms are taught to comprehend and interpret user inputs including gestures, speech, and facial expressions and offer the proper help or interventions. the system may gather real-time data on the user's environment, activity, and emotional state thanks to the sensor-based data gathering, enabling personalized and context-aware support. People with different levels of cognitive ability can readily interact with the system thanks to the user-friendly interface. It features visual signals, natural language processing, and adjustable settings to suit personal tastes. the keywords for this abstract include: machine learning, assistive technology, cognitive disabilities, mental disabilities, independence, communication, quality of life, ML algorithms, sensor-based data collection, user-friendly interface, gestures, speech, facial expressions,personalized support, context-aware support, natural language processing, visual cues, and customizable settings. © 2024 IEEE.

关键词： Intelligent systems

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Development of Microservices Software to Connect Communications between Services 9

Development of Microservices Software to Connect Communicati...

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9th international conference on Business and Industrial Research, ICBIR 2024

作者： Apriansyah, Rizky Dewanto Gatc, Jullend Prabowo, Yulius Denny Sarwo Pratama, Devriady Wonohardjo, Eduard Pangestu Binus Online Learning Bina Nusantara University Computer Science Department Jakarta Indonesia

ISBN: (纸本)9798350383010

this study objective is to develop a microservice that can bridge communication between services at PT Soluix. this company has a microservice application that has problems in managing the communication flow between its services. they apply a direct communication method from one service to another which makes each service must change every time there is a need to define communication with other services, this makes the communication flow non-uniform and increasingly complicated to manage as services increase. To make the uniformity of communication flow management, an orchestrator is needed that becomes the center of communication so that there is no need to define communication flow in each service. the result achieved is a microservice that becomes the center of communication flow management. the research method starts with problem identification, data collection, system design, implementation, and then evaluation. the conclusion obtained is that the communication orchestrator between microservice services can help manage the communication flow between services to be uniform and not affected by the number of services in a microservices ecosystem. © 2024 IEEE.

关键词： Telecommunication services

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Wireless Resilience: A LoRa-Based Sensor Network and Mobile Application for Flood Victim Rescue System 9

Wireless Resilience: A LoRa-Based Sensor Network and Mobile ...

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9th IEEE international conference on Computing, Engineering and design, ICCED 2023

作者： Imran, Mohammad Syameer Daniel, Muhammad Attarbashi, Zainab S. Handayani, Dini Oktarina Dwi Iftikhar, Saman Al-Madani, Dania International Islamic University Malaysia Faculty of Information and Communication Technology Department of Computer Science Selangor Malaysia Arab Open University Faculty of Computer Studies Saudi Arabia

this project aims to help flash floods9; victims and rescuers facilitate rescue efforts. By integrating Internet of things (loT) and Global Positioning System (GPS) capabilities, flood victims can use a device (eme... 详细信息

ISBN: (纸本)9798350370126

this project aims to help flash floods' victims and rescuers facilitate rescue efforts. By integrating Internet of things (loT) and Global Positioning System (GPS) capabilities, flood victims can use a device (emergency box) that will be activated to send a signal to rescue workers and volunteers to come to the location and rescue them. the box is long lasting, can withstand winds and floats and has a bright light which allows rescuers to locate the victims even in dark or areas with no electricity. Rescuers use a device attached to a signal receiver that receives distress signals from flood victim's emergency boxes. then the navigation system will allow rescuers to locate the distress signals. this project has the potential to help rescuers and civilians alike, as this opens new ways to rescue people trapped in flooding by allowing different parties to join the rescue mission easily. the system was evaluated by the success of the rescuer's device and the mobile application to send and receive respectively the distress signal from the flood's victim device with accurate location coordinates in different weather conditions, indoor and outdoor, and in both open areas and between buildings. this will be done by taking measures of the power needed for both devices, the covering range between both devices, and the accuracy of the location coordinates. © 2023 IEEE.

关键词： Global positioning system

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Research on Robot Path Optimization Algorithm Based on LSTM-Improved Ant Colony Algorithm 24

Research on Robot Path Optimization Algorithm Based on LSTM-...

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9th international conference on Cyber Security and Information Engineering, ICCSIE 2024

作者： Gao, Chao Zhao, Long School of Information Engineering East University of Heilongjiang China School of Computer and Information Engineering Heilongjiang University of Science and Technology China

ISBN: (纸本)9798400718137

In the field of computer-aided robotics, trajectory scheduling is crucial for multi-robot systems operating in complex, dynamic, and different kinds of environments. this paper introduces a novel trajectory optimization algorithm that integrates the Long Short-Term Memory (LSTM) network with the traditional Ant Colony Algorithm (ACA) to address the limitations within the conventional ACA, such as slow convergence and susceptibility to local optima. the incorporation of the LSTM module enhances the ants’ ability to predict environmental changes, improving the overall algorithm performance, especially regarding energy efficiency. this proposed approach specifically tackles the often-overlooked issue of optimizing energy consumption in existing trajectory scheduling algorithms. Experimental results validate the effectiveness of the LSTM-enhanced ACA, showing substantial improvements in both trajectory length reduction and energy efficiency over traditional methods. Indoor environment tests reveal that the algorithm increased the search efficiency by 45.2%, reduced the trajectory length by 11.2%, and decreased the number of the optimal trajectory turning points by 42.9%. these findings suggest that the LSTM-enhanced ACA not only boosts trajectory scheduling accuracy but also optimizes energy usage, making it particularly well-suited for practical applications in multi-robot systems. this research presents a robust solution for energy-efficient trajectory scheduling, offering significant potential for advancing autonomous robotics. © 2024 Copyright held by the owner/author(s).

关键词： Ant colony optimization

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design and Optimization Strategy of a CNN aided Pre-hospital Diagnosis System for Myocardial Infarction 15th

Design and Optimization Strategy of a CNN Aided Pre-hospital...

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15th international conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management (DHM)

作者： Hu, Juncheng Zhou, Youtian Mo, Chunbao Guilin Med Univ Intelligent Med & Biotechnol Guilin 541199 Peoples R China Guangxi Normal Univ Sch Design Guilin 541004 Peoples R China Zhonglin Sci Tech Dev Grp Co Ltd Nanning 530201 Peoples R China

ISBN: (纸本)9783031610622;9783031610639

Myocardial Infarction (MI), commonly known as a heart attack, is a prevalent acute cardiovascular disease and one of the deadliest types of cardiovascular diseases in China. Electrocardiogram (ECG) serves as the primary tool for analysis and diagnosis, recording the heart's electrical activity to detect abnormal patterns. ECG exhibits nonlinear and unstable characteristics, with its noise being random. therefore, the extraction and identification of ECG features related to MI are crucial for intelligent assisted diagnosis of heart attacks. In this paper, a MI assisted pre-hospital diagnosis system based on CNN (Convolution Neural Network, CNN) is designed, to assist healthcare professionals in improving the accuracy and efficiency of MI diagnosis. the MI assisted diagnosis system, based on the CNN MI intelligent diagnostic model, is established with the goal of intelligent identification of MI in the context of computer-aided diagnosis systems. It aims to address key issues such as automatic feature extraction and analysis diagnosis, focusing on ECG research and exploring MI intelligent identification methods based on CNN. this system is dedicated to providing assistance and support for clinical diagnosis by healthcare professionals, enhancing diagnostic accuracy and efficiency to ensure early diagnosis and timely treatment of MI. Additionally, in cases of sudden cardiac emergencies among ECG users, the system is capable of providing timely assistance and treatment plans, offering critical support to ECG users in need.

关键词： Artificial Intelligence & Smart Services Myocardial Infarction Healthcare Diagnosis System CNN

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Analysis and design of Android-Based Food Sharing Applications 9

Analysis and Design of Android-Based Food Sharing Applicatio...

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9th IEEE international conference on Computing, Engineering and design, ICCED 2023

作者： Pratama, Rayhan Putra Humaira, Safira Fauzi, Dea Nur Gunawan, Eric Yossy, Emny Hama BINUS Online Learning Bina Nusantara University Computer Science Study Department Jakarta11480 Indonesia

ISBN: (纸本)9798350370126

Food wastage problem is becoming an increasingly pressing issue. Food sharing concept is one of many ways that could be effective to overcome this problem. Food sharing is a concept in which food that is still up for consumption are distributed for those in need, so that it can reduce food wastage. the purpose of this research is to design and develop an Android-based food sharing application. Data collection method in this research was using questionnaire and literature study regarding the development of food sharing application called FShare. System development using waterfall method. System design method using the Unified Modeling Language. Database design using the Entity Relationship Diagram. Black box testing for evaluation and the Eight Golden Rules for interface evaluation. the application brings together food donor with receiver in need. the result of this research is that an application has been made with features such as donating and receiving food with verification, location tracking on a map with GPS, and report feature for reporting food-related problems. From the system and interface evaluation that carried out towards the application, it can be concluded that the application has getting status that is in accordance with expected function and the application is in line with the Eight Golden Rules. © 2023 IEEE.

关键词： Android (operating system)

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Output Power design of Wave Energy Conversion Device Based on Vertical Oscillation-longitudinal Rocking Coupling 9

Output Power Design of Wave Energy Conversion Device Based o...

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9th international conference on Electrical Engineering, Control and Robotics, EECR 2023

作者： Ye, Wenxin Tang, Zheng Wuhan University of Technology School of Computer and Artificial Intelligence Wuhan China Wuhan University of Technology School of Science Wuhan China

ISBN: (纸本)9781665491204

As a renewable and clean energy source, the utilization and conversion of wave energy has received more and more attention. For the oscillating float type wave energy conversion device, this paper conducts force analysis and moment analysis from four degrees of freedom of the float and the oscillator's vertical oscillation and longitudinal rocking, establishes a system of second-order differential equations for the coupled vertical oscillation-longitudinal rocking, and analyzes the vertical oscillation displacement and velocity and the longitudinal rocking angular displacement and angular velocity of the float and the oscillator. the improved whale algorithm is used to solve the bivariate single-objective programming model with the damping coefficients of two dampers as the decision variables and the sum of the maximum average output power as the objective function, and the global search capability of the algorithm is improved by convergence factor update and simplex method optimization, which effectively avoids the local optimal solution and makes the results more accurate and reliable. © 2023 IEEE.

关键词： Wave energy conversion

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A Causal Graph for Learning Gender Debiased Word Embedding 9

A Causal Graph for Learning Gender Debiased Word Embedding

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9th international conference on Big Data and Information Analytics, BigDIA 2023

作者： Feng, Yanxia Rao, Yanghui Sun Yat-sen University School of Computer Science and Engineering Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou China

Word embedding learning is a powerful technique to represent words9; rich semantics as low-dimensional vectors, but it may encode harmful social biases. Such biases can leave negative impacts on downstream applicat... 详细信息

ISBN: (纸本)9798350330076

Word embedding learning is a powerful technique to represent words' rich semantics as low-dimensional vectors, but it may encode harmful social biases. Such biases can leave negative impacts on downstream applications that rely on word embeddings, e.g., text classification and sentiment analysis. In this work, we design a novel approach to debias word embeddings using a causal graph that separates gender and semantic information within words. Our method is theoretically interpretable and can effectively alleviate the issue of gender bias from words in real-world corpora without destructing their semantic meanings. We perform a comprehensive comparison for our proposed approach with existing state-of-the-art techniques using a range of evaluation metrics and tasks, and demonstrate that our method can not only mitigate bias mixed in word embeddings, but also improve their performance on downstream tasks. © 2023 IEEE.

关键词： Embeddings

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