Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City最新文献_第2页

Classification of Corn Leaf Disease Using the Optimized DenseNet-169 Model 基于优化DenseNet-169模型的玉米叶片病害分类

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512588

Rima Tri Wahyuningrum, Ari Kusumaningsih, Wijanarko Putra Rajeb, I. Purnama

{"title":"Classification of Corn Leaf Disease Using the Optimized DenseNet-169 Model","authors":"Rima Tri Wahyuningrum, Ari Kusumaningsih, Wijanarko Putra Rajeb, I. Purnama","doi":"10.1145/3512576.3512588","DOIUrl":"https://doi.org/10.1145/3512576.3512588","url":null,"abstract":"Corn is the second main commodity after rice in Indonesia. Meanwhile, in its cultivation, there are main obstacles, namely pests and diseases. Diseases in plants usually occur in different parts, such as roots, leaves, and stems. However, the leaves are the most common parts to detect the disease because of the differences in size, shape, and color of the leaves. This makes it a major challenge to identify and classify diseases. Classification of leaf diseases of corn is one way to increase the accuracy of diagnosis by utilizing the symptoms and signs found on the leaves of corn plants. This paper presents one of the Deep Convolutional Neural Network (CNN) models, namely DenseNet-169 optimized. Applied models trained with an open dataset from the plant village dataset and primary data obtained from four districts in Madura, Indonesia. Because the amount of primary data is not much, data augmentation is carried out, namely rotate range 90⁰, flip horizontal, flip vertical, brightness random 0.6 to 2.0, zoom range 0.65 to 0.95. To evaluate the model's performance, different optimization parameters were included, namely, Stochastic Gradient Descent (SGD) optimization compared to Adam optimization. The implemented model achieves 62.3%, 75.66%, 98.08% and 99.32% accuracy of corn leaf disease classification for the original primary dataset, the augmented primary dataset, the original secondary dataset and the augmented secondary dataset for the SGD optimizer. As for the Adam optimizer, this model produces a classification accuracy of corn leaf disease of 67.78%, 83.5%, 99% and 99.32% with the same conditions. The accuracy results show that the DenseNet-169 model with Adam optimizer is more hopeful and can significantly affect the efficient recognition of diseases. This makes it possible to have the potential to detect disease in real-time farming systems.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125702874","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: 3

Future Smart Cities: Vision, Challenges and Technology Trends 未来智慧城市:愿景、挑战和技术趋势

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512639

T. Butt

引用次数: 1

Research on City Area Traffic Generation Analysis Based on Multi-source Big Data 基于多源大数据的城区交通生成分析研究

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512661

Jing Luo, Qingqing Li, B. Li, Shuai Wang

{"title":"Research on City Area Traffic Generation Analysis Based on Multi-source Big Data","authors":"Jing Luo, Qingqing Li, B. Li, Shuai Wang","doi":"10.1145/3512576.3512661","DOIUrl":"https://doi.org/10.1145/3512576.3512661","url":null,"abstract":"City area traffic demand analysis is an important foundation for comprehensive traffic planning. In the context of the rapid development of big data technology, how to organically combine multi-source data, improve model accuracy, improve work efficiency and reduce work cost is a key issue in the construction of traffic generation analysis model. This paper integrates relevant data such as resident travel OD data, population migration data, and poi data. On the basis of the traditional traffic generation model, add the geographical advantage correction factor to establish a city area traffic generation analysis model based on multi-source big data. And take Heyuan City, Guangdong Province as an example for case analysis to demonstrate the validity and practicability of the model. The results show that the average absolute errors of traffic production and attraction in all traffic communities are 16.29% and 14.98% respectively. This paper can provide a new method to improve the accuracy of city area traffic generation analysis modeling. CCS CONCEPTS • Applied computing • Operations research • Transportation","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"67 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134264876","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

An Emotion and Gender Detection Using Hybridized Convolutional 2D and Batch Norm Residual Network Learning 基于混合卷积二维和批范数残差网络学习的情感和性别检测

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512590

W. Yassin, M. F. Abdollah, Zulkiflee Muslim, R. Ahmad, A. Ismail

{"title":"An Emotion and Gender Detection Using Hybridized Convolutional 2D and Batch Norm Residual Network Learning","authors":"W. Yassin, M. F. Abdollah, Zulkiflee Muslim, R. Ahmad, A. Ismail","doi":"10.1145/3512576.3512590","DOIUrl":"https://doi.org/10.1145/3512576.3512590","url":null,"abstract":"The deep learning algorithm called convolutional neural network (CNN) particularly with Residual Network (ResNet) receiving much attention from the research community in facial recognition recently. Unfortunately, the complexity of optimization problems in overfitting and vanishing gradient cause huge obstacles. More specifically, once the gradient is backpropagated in initial layers, repeated multiplication among layers constructs gradient infinitely small and causes the layers of the network to become deeper and degrade the performance. Moreover, the skip connection that comprises the residual network (ResNet) is not enough to solve the above-mentioned limitations, and this could downgrade the optimization of used layers and potentially further downgrade the accuracy. Therefore, a deep residual network (ResNet) with hybridized function i.e., convolutional-2D and Batch Norm is proposed as this could allow direct signal propagation from the initial to the final layer of the network for every single residual block deeply. Initially, the convolutional-2D and Batch Norm were constructed to overcome bias in-depth nets and propagate the gradients directly from the loss layers to any previous layers, while skipping intermediate weight layers deeply that have the potential to trigger vanishing or deterioration of the gradient signal. The proposed learning model has improved the degradation of accuracy drawback by decreasing the number of layers needed more in low level as compared to existing work for each block using batch normalization and convolutional-2D function.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133803244","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

Detecting Urinary Tract Infection (UTI) thru Analytes level using Convolutional Neural Network and Support Vector Machine 基于卷积神经网络和支持向量机的尿路感染检测

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512591

Patricia May C. Arches, Abby R. Austero, Allysa Joy A. Diaz, Honey Joy C. Taer, A. C. Fabregas

{"title":"Detecting Urinary Tract Infection (UTI) thru Analytes level using Convolutional Neural Network and Support Vector Machine","authors":"Patricia May C. Arches, Abby R. Austero, Allysa Joy A. Diaz, Honey Joy C. Taer, A. C. Fabregas","doi":"10.1145/3512576.3512591","DOIUrl":"https://doi.org/10.1145/3512576.3512591","url":null,"abstract":"Abstract. Early detection of Urinary Tract Infection (UTI) is vital since if the infection reaches the kidneys, a more severe illness may occur. Quite often, people with urinary tract infection aren't aware of their problem because there is a type of this infection that only manifests its symptoms when its already severe. This served as inspiration to the researchers to make this study. The study aims to give diagnosis to anyone who is interested to know their condition. It is a desktop application that can provide an analysis to the user's urine test strip using mobile phone's camera. The researchers used experimental method in this study. The system was developed using Python Programming Language utilizing algorithms such as Convolutional Neural Network (CNN) image processing and Support Vector Machine (SVM) for classification to attain the system's accuracy and reliability in detecting UTI. Researchers conducted an experiment to 65 participants. The result of the study has come up with the overall accuracy rate of 96.03% and overall reliability rate of ≥ 0.9 which interprets to excellent.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116365856","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

Research and design of ETC operation status evaluation system based on SOM-MQE 基于SOM-MQE的ETC运行状态评估系统的研究与设计

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512652

Jie Tao, Changhua Wang, Xihao Zhu, Ling Qi, Hancheng Yu

{"title":"Research and design of ETC operation status evaluation system based on SOM-MQE","authors":"Jie Tao, Changhua Wang, Xihao Zhu, Ling Qi, Hancheng Yu","doi":"10.1145/3512576.3512652","DOIUrl":"https://doi.org/10.1145/3512576.3512652","url":null,"abstract":"With the continuous construction and improvement of the ETC system, the daily inspection and troubleshooting of ETC equipment have become important work to ensure the stable operation of the ETC system. In order to further improve the service level of the ETC system, this paper intends to improve the level and effect of ETC equipment inspection and maintenance work by constructing a highway ETC operation status evaluation system. By docking to obtain the physical data of ETC gantry system equipment operation and gantry business transaction data, the model based on the combination of self-organized mapping network (SOM) and minimum quantization error (MQE) is used for pattern recognition by using the quantization error of data deviation from the normal feature space. It is also applied to the whole life cycle data of the ETC gantry system to evaluate the effectiveness of equipment failure warnings. The performance of SOM, SOM-MQE, and BP are tested separately by test set data, and it is verified that the SOM-MQE model quantitatively describes the health status of the equipment by tracking the MQE value, which effectively reduces the evaluation time consumption and to a certain extent also reduces the false detection rate. In order to verify the accuracy of the algorithm in practice, this paper constructs an experimental scenario with different traffic flow as the environmental parameter to verify the practicality of the system in the actual environment, relying on the actual high-speed project. The overall state evaluation accuracy rate is close to 94%, which has the ability to improve the comprehensive protection of ETC gantries.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124503393","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

Connotation and Implementation Priorities of High-Quality Transport Development 交通运输高质量发展的内涵与实施重点

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512659

Y. Geng, Jing Chen, Jiayuan He, Shaowei Dong

{"title":"Connotation and Implementation Priorities of High-Quality Transport Development","authors":"Y. Geng, Jing Chen, Jiayuan He, Shaowei Dong","doi":"10.1145/3512576.3512659","DOIUrl":"https://doi.org/10.1145/3512576.3512659","url":null,"abstract":"∗ To promote high-quality development is a major strategic choice to open up a new path for building China into a country with a strong transport industry. It is of great significance to focus on the connotation, key issues and implementation priorities of high-quality transport development. By analyzing the connotation of quality and high-quality development, it is demonstrated that the core of high-quality development is the \"three major changes\" in the \"three major fields\", then the basic connotation and core significance of high-quality development of transportation is put forward. Further, from the three aspects of main contradiction, operation efficiency and development power, the key issues are put forward that need to be addressed for the high-quality development of transportation. Combined with the connotation analysis and key issues, the paper puts forward three key points for the implementation of high-quality transportation development: promoting quality change to balance supply and demand, promoting efficiency change to optimize resource allocation, promoting power change to collaborate innovation of technology and institution.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125754820","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

Exact Transient Analysis on LRU Cache Startup for Internet of Things 物联网LRU缓存启动的精确瞬态分析

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512632

K. Wong, A. Yeung, Ka-Cheng Choi, Philip Lei, C. Lam

引用次数: 2

An ISO/IEC 25010 Based Software Quality Assessment of a Faculty Research Productivity Monitoring and Prediction System 基于ISO/IEC 25010的学院科研生产力监测与预测系统软件质量评估

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512619

Ranie B. Canlas, K. Piad, A. Lagman

{"title":"An ISO/IEC 25010 Based Software Quality Assessment of a Faculty Research Productivity Monitoring and Prediction System","authors":"Ranie B. Canlas, K. Piad, A. Lagman","doi":"10.1145/3512576.3512619","DOIUrl":"https://doi.org/10.1145/3512576.3512619","url":null,"abstract":"A known primary indicator of performance of academic institutions is the productivity of their academic personnel in terms of research outputs. Monitoring the outputs of faculty requires systematic and technology-based methods for easy access and creation of repository. This study generally aimed to provide solution in monitoring the research undertakings of faculty through the development of a system for effective and efficient management of research outputs. Specifically, it tried to identify necessary features that can be integrated in the development of research productivity monitoring and prediction system; assess system performance based from the parameters of ISO/IEC 25010 Software Quality Model; and identify differences on the assessment of the respondents in terms of evaluation of software quality. The key features of the developed system include support submission of paper proposals, review and approval of proposal, monitoring of ongoing approved papers, utilization of research outputs, research outputs repository and predictive analysis. The assessment of the expert-respondents resulted to a grand mean of 3.87 which corresponds to a verbal interpretation of “Strongly Agree”. Results showed that the system has the necessary features in determining research productivity of faculty along with the high evaluation of system performance based from the assessment of expert-respondents.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121160602","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

Research on non-weaved double three-limb interchange 无纺布双三肢互换性研究

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512655

Chixin Wang

{"title":"Research on non-weaved double three-limb interchange","authors":"Chixin Wang","doi":"10.1145/3512576.3512655","DOIUrl":"https://doi.org/10.1145/3512576.3512655","url":null,"abstract":"When two freeway or highway cross or parallel, it is possible to adopt a two three-limb combination interchange type, that is, a double-three-limb interchange, which is mostly a simple combination of trumpet, T-type or Y-type. This is a commonly used interchange type for centralized stopping tolls. If stopping is not required, there will be disadvantages of long detours and weaved operation of vehicles, which cannot meet the needs when the traffic volume is large. The best way to solve the problem is to cancel the weaved operation and replace the ramp layout. Based on practice and research, summarize and put forward four practical interchange types for comparative analysis. These interchange types are: T-trumpet, deformed double-trumpet, external reverse-flow double-trumpet, internal reverse-flow double-trumpet, these types of interchanges generally only need two or three flyover bridges to achieve no weaved operation. Some can be reconstructed on the basis of the existing double-trumpet interchange, and some are suitable for new interchanges. Because they can compress the land use to a greater extent, and the cost is relatively low, so they have better practicability.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121215878","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