IAES International Journal of Artificial Intelligence最新文献

Reducing the time needed to solve a traveling salesman problem by clustering with a Hierarchy-based algorithm 利用基于层次结构的聚类算法，减少了求解旅行推销员问题所需的时间

IAES International Journal of Artificial Intelligence Pub Date : 2023-12-01 DOI: 10.11591/ijai.v12.i4.pp1619-1627

Anahita Sabagh Nejad, G. Fazekas

引用次数: 0

Prototyping of e-fisherman web server to support Indonesian fishermen’s activities 电子渔民网络服务器的原型，以支持印尼渔民的活动

IAES International Journal of Artificial Intelligence Pub Date : 2023-12-01 DOI: 10.11591/ijai.v12.i4.pp1960-1973

S. Fuada, T. Adiono

{"title":"Prototyping of e-fisherman web server to support Indonesian fishermen’s activities","authors":"S. Fuada, T. Adiono","doi":"10.11591/ijai.v12.i4.pp1960-1973","DOIUrl":"https://doi.org/10.11591/ijai.v12.i4.pp1960-1973","url":null,"abstract":"This paper presents a webserver for Indonesian fishermen, to support fishing activities. This is one of the sub-systems of e-Nelayan (in English: eFisherman) architecture, which was connected to e-Nelayan Apps; it helps to provide interaction between two users, including the administrators and fishermen. Using hypertext preprocessor (PHP) language, the website was developed to function on an Apache web server, with the adaptation of my structured query language (MySQL) framework for the database. This system was subsequently divided into two parts: (1) the front-end, which is responsible for the accessibility of data collection and (2) the back-end, where administrators update or modify crucial information: price, fishing result, illegal activity report, save our ship! (SOS) potential fish zone, and ship tracking. The administrators are unable to update the real-time weather information for the front-end part. The application was found to record the information obtained from the fishermen through the e-Nelayan apps and meteorology, climatology, and geophysical agency (BMKG in Indonesian). This web system is expected to carry out the following functions: to ensure easier interactions between fishermen and administrators, to enable easy update of information, to promote monitoring and recording of results, and to ensure fishermen’s safety.","PeriodicalId":52221,"journal":{"name":"IAES International Journal of Artificial Intelligence","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65356152","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

Traffic light counter detection comparison using you only look oncev3 and you only look oncev5 for version 3 and 5 交通灯计数器检测比较使用你只看一次cev3，你只看一次cev5版本3和5

IAES International Journal of Artificial Intelligence Pub Date : 2023-12-01 DOI: 10.11591/ijai.v12.i4.pp1585-1592

Hamzah Abdulmalek Al-Haimi, Z. Sani, Tarmizi Ahmad Izzudin, Hadhrami Abdul Ghani, A. Azizan, Samsul Ariffin Abdul Karim

引用次数: 0

Global-local attention with triplet loss and label smoothed crossentropy for person re-identification 具有三联体丢失的全局局部注意和标签平滑交叉熵的人再识别

IAES International Journal of Artificial Intelligence Pub Date : 2023-12-01 DOI: 10.11591/ijai.v12.i4.pp1883-1891

Nha Tran, Toan Nguyen, Minh Nguyen, Khiet Luong, Tai Lam

{"title":"Global-local attention with triplet loss and label smoothed crossentropy for person re-identification","authors":"Nha Tran, Toan Nguyen, Minh Nguyen, Khiet Luong, Tai Lam","doi":"10.11591/ijai.v12.i4.pp1883-1891","DOIUrl":"https://doi.org/10.11591/ijai.v12.i4.pp1883-1891","url":null,"abstract":"Person re-identification (Person Re-ID) is a research direction on tracking and identifying people in surveillance camera systems with non-overlapping camera perspectives. Despite much research on this topic, there are still some practical problems that Person Re-ID has not yet solved, in reality, human objects can easily be obscured by obstructions such as other people, trees, luggage, umbrellas, signs, cars, motorbikes. In this paper, we propose a multibranch deep learning network architecture. In which one branch is for the representation of global features and two branches are for the representation of local features. Dividing the input image into small parts and changing the number of parts between the two branches helps the model to represent the features better. In addition, we add an attention module to the ResNet50 backbone that enhances important human characteristics and eliminates irrelevant information. To improve robustness, the model is trained by combining triplet loss and label smoothing cross-entropy loss (LSCE). Experiments are carried out on datasets Market1501, and duke multi-target multi-camera (DukeMTMC) datasets, our method achieved 96.04% rank-1, 88,11% mean average precision (mAP) on the Market1501 dataset, and 88.78% rank-1, 78,6% mAP on the DukeMTMC dataset. This method achieves performance better than some state-of-the-art methods.","PeriodicalId":52221,"journal":{"name":"IAES International Journal of Artificial Intelligence","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65355319","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

Exploring the impacts of using the artificial intelligence voice-enabled chatbots on customers interactions in the United Arab Emirates 探索在阿联酋使用人工智能语音聊天机器人对客户互动的影响

IAES International Journal of Artificial Intelligence Pub Date : 2023-12-01 DOI: 10.11591/ijai.v12.i4.pp1920-1927

Asad Abdo, S. M. Yusof

{"title":"Exploring the impacts of using the artificial intelligence voice-enabled chatbots on customers interactions in the United Arab Emirates","authors":"Asad Abdo, S. M. Yusof","doi":"10.11591/ijai.v12.i4.pp1920-1927","DOIUrl":"https://doi.org/10.11591/ijai.v12.i4.pp1920-1927","url":null,"abstract":"Over the past decade, chatbots have experienced a significant increase inpopularity, especially since the outbreak of COVID-19. In the United ArabEmirates, most businesses have accelerated their digital transformation andare relying on chatbots as a primary way to interact with customers. However,many of these chatbots lack a voice input option for customers. This studyinvestigates the benefits and challenges of incorporating artificial intelligence(AI) voice-enabled chatbots into United Arab Emirates (UAE) businesses andhow this impacts customer experience. Qualitative research techniques wereused to gather information, and the results demonstrate that implementing AIchatbots with voice input and sentiment analysis features can enhance thecustomer experience by making it more efficient and convenient.Additionally, the study found that AI chatbots can ultimately save businessestime and money, and while they may reduce the need for human agents, theywill not replace them entirely. Finally, an implementation framework andsuggestions are provided for businesses that are interested in adopting AIvoice-enabled chatbots for customer interactions.","PeriodicalId":52221,"journal":{"name":"IAES International Journal of Artificial Intelligence","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65355354","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

Low-rate distributed denial of service attacks detection in software defined network-enabled internet of things using machine learning combined with feature importance 基于机器学习和特征重要性的软件定义网络物联网低速率分布式拒绝服务攻击检测

IAES International Journal of Artificial Intelligence Pub Date : 2023-12-01 DOI: 10.11591/ijai.v12.i4.pp1974-1984

Muhammad Abizar, Muhammad Ferry Septian Ihzanor Syahputra, Ahmad Rizky Habibullah, Christian Sri Kusuma Aditya, Fauzi Dwi Setiawan Sumadi

{"title":"Low-rate distributed denial of service attacks detection in software defined network-enabled internet of things using machine learning combined with feature importance","authors":"Muhammad Abizar, Muhammad Ferry Septian Ihzanor Syahputra, Ahmad Rizky Habibullah, Christian Sri Kusuma Aditya, Fauzi Dwi Setiawan Sumadi","doi":"10.11591/ijai.v12.i4.pp1974-1984","DOIUrl":"https://doi.org/10.11591/ijai.v12.i4.pp1974-1984","url":null,"abstract":"One of the main challenges in developing the internet of things (IoT) is the existence of availability problems originated from the low-rate distributed denial of service attacks (LRDDoS). The complexity of IoT makes the LRDDoS hard to detect because the attack flow is performed similarly to the regular traffic. Integration of software defined IoT (SDN-Enabled IoT) is considered an alternative solution for overcoming the specified problem through a single detection point using machine learning approaches. The controller has a resource limitation for implementing the classification process. Therefore, this paper extends the usage of Feature Importance to reduce the data complexity during the model generation process and choose an appropriate feature for generating an efficient classification model. The research results show that the Gaussian Naïve Bayes (GNB) produced the most effective outcome. GNB performed better than the other algorithms because the feature reduction only selected the independent feature, which had no relation to the other features.","PeriodicalId":52221,"journal":{"name":"IAES International Journal of Artificial Intelligence","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65355749","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

Hybrid travel time estimation model for public transit buses using limited datasets 基于有限数据集的公交混合出行时间估计模型

IAES International Journal of Artificial Intelligence Pub Date : 2023-12-01 DOI: 10.11591/ijai.v12.i4.pp1755-1764

A. Prakash, R. Sumathi, Honnudike Satyanarayana Sudhira

引用次数: 0

Glove based wearable devices for sign language-GloSign 基于手套的可穿戴手语设备——glosign

IAES International Journal of Artificial Intelligence Pub Date : 2023-12-01 DOI: 10.11591/ijai.v12.i4.pp1666-1676

Soly Mathew Biju, Obada Al-Khatib, H. Sheikh, F. Oroumchian

引用次数: 0

Aerial image semantic segmentation based on 3D fits a small dataset of 1D 基于3D的航拍图像语义分割适合一维小数据集

IAES International Journal of Artificial Intelligence Pub Date : 2023-12-01 DOI: 10.11591/ijai.v12.i4.pp2048-2054

S. A. Ahmed, H. Desa, A. T. T. Hussain

{"title":"Aerial image semantic segmentation based on 3D fits a small dataset of 1D","authors":"S. A. Ahmed, H. Desa, A. T. T. Hussain","doi":"10.11591/ijai.v12.i4.pp2048-2054","DOIUrl":"https://doi.org/10.11591/ijai.v12.i4.pp2048-2054","url":null,"abstract":"Time restrictions and lack of precision demand that the initial technique be abandoned. Even though the remaining datasets had fewer identified classes than initially planned for the study, the labels were more accurate. Because of the need for additional data, a single network cannot categorize all the essential elements in a picture, including bodies of water, roads, trees, buildings, and crops. However, the final network gains some invariance in detecting these classes with environmental changes due to the different geographic positions of roads and buildings discovered in the final datasets, which could be valuable in future navigation research. At the moment, binary classifications of a single class are the only datasets that can be used for the semantic segmentation of aerial images. Even though some pictures have more than one classification, images of roads and buildings were only found in a significant number of samples. Then, the building datasets were pooled to produce a larger dataset and for the constructed models to gain some invariance on image location. Because of the massive disparity in sample size, road datasets needed to be integrated.","PeriodicalId":52221,"journal":{"name":"IAES International Journal of Artificial Intelligence","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65356575","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

Eligibility of village fund direct cash assistance recipients using artificial neural network 利用人工神经网络对村基金直接现金援助受助人的资格进行评估

IAES International Journal of Artificial Intelligence Pub Date : 2023-12-01 DOI: 10.11591/ijai.v12.i4.pp1611-1618

Dwi Marisa Midyanti, Syamsul Bahri, S. Suhardi, H. I. Midyanti

引用次数: 0