检索结果-内蒙古大学图书馆

24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023

作者： Adi, Puput Dani Prasetyo Purnama, Iwan Siregar, Arfanda Anugrah Juledi, Angga Putra Edi, Firman Karim, Abdul Wahyu, Yuyu Maulana, Fairuz Iqbal Susilo, Suhardi Atmoko Budi Toni Harahap, Ilham Maliki Patria, Lintang Bandung Indonesia Labuhanbatu University Faculty of Science and Technology North Sumatra Labuhanbatu Indonesia Politeknik Negeri Medan Telecommunication Engineering Study Program North Sumatra Medan City Indonesia Batam Institute of Technology Faculty of Industrial Technology Department of Engineering Management Riau Islands Batam City Indonesia Budi Darma University Department of Information Technology North Sumatra Medan Indonesia Bina Nusantara University School of Computer Science Computer Science Department Jakarta Indonesia University Labuhanbatu Faculty of Teacher Training and Education North Sumatra Labuhanbatu Indonesia Universitas Terbuka Faculty of Engineering Jakarta Indonesia

ISBN: (纸本)9798350313956

This research is an approach to intelligent vehicles with a LoRa communication system, LoRaWAN compatible for Long-Range and Outdoor Communication, but in this paper, we will test the ability of LoRa to handle autonomous vehicles, a Blind-Adaptive Data method will be tried on vehicles systems. The system offered is when the vehicle is running, the sensor will send position data in real-time, the number of vehicles is four, and GPS data is sent alternately using the Blind Adaptive Data Rate principle to avoid data collisions, and when the GPS shows a certain position, the value of SF is ascertained, which affects the data rate and ToA, and the output given is RSSI on each car, speed of a car, power consumption of sensor nodes, signal power, SNR, Bit rate or data rate, and sensitivity. With the Blind ADR principle, it is ensured that there is no data collision between car position data that causes packet loss. © 2023 IEEE.

关键词： Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

Comprehensive assessment of water and sediment quality to support sustainable management practices and mitigate potential risks of trace metal pollution in the Johor River Basin, South Peninsular Malaysia

引用

Ecohydrology and Hydrobiology 2025年第2期25卷 315-329页

作者： Mazilamani, Lelavathy S. Annammala, Kogila V. Martin, Patrick Qi, Liang Y. Sugumaran, Dhinesh Ling, Yong E. Reynard, P.S. Nurhidayat, Agus Syawal, Muhamad S. Sutapa, Ignasius D.A. Department of Water & Environmental Engineering Faculty of Civil Engineering Universiti Teknologi Malaysia Johor Bahru Malaysia Disaster Preparedness and Prevention Centre Universiti Teknologi Malaysia Kuala Lumpur Malaysia Asian School of the Environment Nanyang Technological University Singapore Centre of Environmental Sustainability & Water Security (IPASA) Research Institute for Sustainable Environment (RISE) Universiti Teknologi Malaysia Johor Bahru Malaysia Faculty of Engineering – Industrial Engineering International Study Program University of Indonesia Indonesia Asia Pacific Centre for Ecohydrology (APCE) – UNESCO C2C Indonesia Research Centre for Limnology and Water Resources – NRIA Indonesia Faculty of Environmental Science and Technology – Soegijapranata Catholic University (SCU) Semarang Indonesia

Human activities have caused concerns over the contamination of trace elements in aquatic systems due to their toxicity, long-lasting nature, and ability to accumulate in living organisms. This study evaluated the spatial pattern, environmental hazard, and potential health hazard of 13 trace metals in water and sediment samples collected from the Johor River basin using multivariate statistical techniques in order to identify the impact of both natural and human-related factors on the presence of trace metals in the area. The increased levels of metals in Station S1 indicated a significant impact from municipal, domestic, and industrial waste. The Geo-accumulation Index (I_geo) values for pollution and ecological indices in the sediment of the Johor River Basin ranged from -9.44 to 6.27. The Pollution Load Index (PLI) values ranged from 0.05 to 0.18, and the Potential Ecological Risk Assessment (RI) values ranged from 2.15 to 11.18. These results indicate that the sediments in the Johor River Basin have a low risk of contamination from trace metals. The water's hazard quotient (HQ) had an average value of 0.0001, while the hazard index (HI) had an average value of 0.0003. It is important to increase stakeholders' understanding and concerns regarding the potential long-term human health and ecological implications associated with trace metals in Johor River water. The results of this study offer essential initial information for government entities to implement sustainable management strategies, reducing the likelihood of future trace metal contamination issues in the Johor River basin and similar regions. © 2024 European Regional Centre for Ecohydrology of the Polish Academy of sciences

关键词： Health assessment Johor river basin Multivariate analysis Sediment quality Trace metals Water quality

来源：评论

学校读者我要写书评

暂无评论

Defect Detection of Agricultural Commodities using Image Processing and Artificial Neural Networks

Defect Detection of Agricultural Commodities using Image Pro...

引用

2022 International Seminar on Application for Technology of Information and Communication, iSemantic 2022

作者： Suprijono, Herwin Kartikadarma, Etika Yusianto, Rindra Marimin, Marimin Dian Nuswantoro University Faculty of Engineering Department of Electrical Engineering Semarang53192 Indonesia Dian Nuswantoro University Study Program of Information Technology Faculty of Computer Science Semarang53192 Indonesia Dian Nuswantoro University Faculty of Engineering Department of Industrial Engineering Semarang53192 Indonesia Faculty of Agricultural Engineering and Technology Department of Agro-Industrial Technology West Java Bogor16002 Indonesia

ISBN: (数字)9781665488396

ISBN: (纸本)9781665488396

Production losses of agricultural commodities on agricultural land due to product defects depend on the level of pest and disease attacks. Defects cause the product not to be harvested or rejected by the market. Data from the Ministry of Agriculture of the Republic of Indonesia in 2021 shows the percentage of defective products for this commodity is 5%. This study aims to detect defects in agricultural products using image processing and artificial neural networks. We used the screening threshold method with potato research samples from Dieng, Indonesia. The study results for spot defects showed that from 100 training data, there were five incorrect identification data, so the accuracy of the training process was 95%. At the same time, the hole defect accuracy is better, which is 97%. It shows that defects in agricultural commodities can be detected using this method. For further research, the development of agricultural product sorting can combine sorting techniques with this method. © 2022 IEEE.

关键词： Defects

来源：评论

学校读者我要写书评

暂无评论

YoBagi's User Experience Evaluation using User Experience Questionnaire

YoBagi's User Experience Evaluation using User Experience Qu...

引用

International Conference on Informatics and Computing (ICIC)

作者： Fransiskus Panca Juniawan Dwi Yuny Sylfania Rendy Rian Chrisna Putra Henderi Program Study of Technology Information University of Bangka Belitung Pangkalpinang Indonesia Program Study of Informatics Engineering Institut Sains dan Bisnis Atma Luhur Pangkalpinang Indonesia Informatics Engineering Faculty of Science and Technology University of Raharja Tangerang Indonesia

ISBN: (纸本)9798350345728

The pandemic has brought many negative impacts on human life. One of the negative impacts is economic downturn of Micro, Small, and Medium Enterprise (MSME) actors in Bangka Belitung Province. To solve this problem, a website-based marketplace platform called Yobagi was created. As we know, a new software product must have a good user experience. By having a good user experience means that the product has met the needs of its users. For this reason, an evaluation of the user experience is necessary. This study aims to measure the user experience of using Yobagi. The evaluation uses the User Experience Questionnaire (UEQ) tool, which consists of six scales: Attractiveness, Efficiency, Perspicuity, Dependability, Stimulation, and Novelty. There were 40 respondents who were taken from the top of MSME actors. As the UX evaluation results, it is known that the final score of the six scales is above 0.8 and at the excellent level. This means that Yobagi users have a very good user experience in using Yobagi. In addition, Yobagi has met the criteria for good software by having an excellent user experience value.

关键词： Economics System testing Pandemics Entrepreneurship User experience Software Informatics

来源：评论

学校读者我要写书评

暂无评论

Impact of Filter-Based Feature Selection on Prediction Model Performance for Early Detection of Stunting

Impact of Filter-Based Feature Selection on Prediction Model...

引用

International Conference on Informatics and Computing (ICIC)

作者： Sri Handani Widiastuti Purwanto Adi Wibowo Ratih Wirapuspita Wisnuwardani Informatics Engineering Study Program Sekolah Tinggi Teknologi Bontang Indonesia Doctoral Program of Information System School of Postgraduate Studies Diponegoro Univercity Indonesia Department of Chemical Engineering Faculty of Engineering Diponegoro Univercity Semarang Indonesia Department of Informatics Faculty of Science and Mathematics Diponegoro Univercity Semarang Indonesia Faculty of Public Health Mulawarman Univercity Samarinda Indonesia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

This study investigates the impact of feature selection results using the filter method on the performance of predictive models for the nutritional status of children aged 0-23 months. This study aimed to understand how correlation-based feature selection methods affect the efficiency and accuracy of predictive models. The dataset comes from the Basic Health Research survey, which consists of 84 variables and around 130,000 data, including anthropometric, family, socioeconomic, and environmental information. In this study, various filter-based feature selection methods were applied to evaluate and identify features that have significant relationships with children’s nutritional status, both linearly and non-linearly. The mutual information method was used to identify complex relationships between features and target variables, while the Pearson Correlation Coefficient and information gain were used to assess the relevance of numerical and categorical features. Of the 84 variables in the dataset, 37 features were selected after the selection process. The model performance evaluation was carried out using the Random Forest (RF) and Gradient Boosting (GB) algorithms, by comparing the results between the dataset that had been selected and without feature selection. The RF model without feature selection produces accuracy: 0,84600, precision: 0,83958, recall: 0,84600, F1-score: 0,78962, and a computation time of 9 seconds. The GB model without feature selection produces accuracy: 0,86330, precision: 0,84722, recall: 0,86330, F1-score: 0,84925, and a computation time of 2 minutes 50 seconds. After feature selection and cross-validation, the RF model shows accuracy: 0,85701, precision: 0,83599, recall: 0,85701, and F1 score: 0,83484. The GB model shows accuracy at 0,86124, precision at 0,84226, recall at 0,86130, and F1 score at 0,84120.

关键词： Radio frequency Pediatrics Accuracy Correlation Computational modeling Predictive models Aging Feature extraction Prediction algorithms Numerical models

来源：评论

学校读者我要写书评

暂无评论

Testing the Inference Accuracy of Accelerator-Friendly Approximate Phylogeny Tracking

Testing the Inference Accuracy of Accelerator-Friendly Appro...

引用

2025 IEEE Symposium on Computational Intelligence in Artificial Life and Cooperative Intelligent Systems, ALIFE-CIS 2025

作者： Moreno, Matthew Andres Ranjan, Anika Dolson, Emily Zaman, Luis University of Michigan Department of Ecology and Evolutionary Biology Ann Arbor United States Center for the Study of Complex Systems University of Michigan Ann Arbor United States Michigan Institute for Data and Ai in Society University of Michigan Ann Arbor United States Undergraduate Research Opportunities Program University of Michigan Ann Arbor United States Michigan State University Department of Computer Science and Engineering East Lansing United States Program in Ecology Evolution and Behavior Michigan State University East Lansing United States

ISBN: (纸本)9798331508371

Computer simulations are an important tool for studying the mechanics of biological evolution. In particular, agent-based approaches provide an opportunity to collect high-quality records of ancestry relationships. Such phylogenies can provide insight into evolutionary dynamics within these simulations. Previous work generally tracks lineages directly, yielding an exact phylogenetic record of evolutionary history. However, challenges exist in scaling direct ancestrytracking approaches to highly-distributed, many-processor evolution in silico. An alternative approach is to estimate phylogenetic history via noncoding annotations on digital genomes, akin to how bioinformaticians build phylogenies by assessing genetic similarities between organisms. Recent work has extended this 'hereditary stratigraphy' approach to support powerful hardware accelerator platforms, such as the Cerebras Wafer-Scale Engine. Although these second-generation 'surface'-based hereditary stratigraphy algorithms have demonstrated order-ofmagnitude speedups over first-generation 'column'-based algorithms, it remains unknown how they impact the accuracy of reconstructed phylogenies. To address this question, we assessed reconstruction accuracy under alternative configurations across a matrix of evolutionary conditions varying in selection pressure, spatial structure, and ecological dynamics. Encouragingly, we find that the second-generation approaches provide higher reconstruction quality across most surveyed conditions. © 2025 IEEE.

关键词： Biostratigraphy

来源：评论

学校读者我要写书评

暂无评论

Perceptions of rural communities towards sustainable water supply in arid tropical regions Indonesia 3

Perceptions of rural communities towards sustainable water s...

引用

3rd International Conference on Eco engineering Development, ICEED 2019

作者： Messakh, Jakobis Johanis Fanggidae, Rolland E. Moy, Daniel Lay Study Program of Environmental Science Postgraduate Program Universitas Nusa Cendana Indonesia Study Program of Building Engineering Education Universitas Nusa Cendana Indonesia Study Program of Management Universitas Nusa Cendana Indonesia

Public perception of the fulfillment of clean water needs will depend on a number of factors, including social, economic, cultural and community habits. This research was conducted in Nekmese Village in Kupang Regency, East Nusa Tenggara Province. This village is one of the villages that has not received good clean water services, even though this village has sufficient availability of clean water throughout the season. This study aims to examine the perception of rural communities in the provision of sustainable clean water. Data collection is done by observation and survey by interview and questionnaire. The results showed that 41% of respondents felt they were insufficient in providing clean water, while the other 59% felt they were insufficient. This fact is supported by the data on the use of clean water on average by 40 Lpcd. For the sustainability of clean water supply, the results of the study show positive perceptions from the community, but contrary to wasteful measures in water use, maintenance of water sources and participation in water supply in his village. This could be due to the low level of public education, and lack of hearing about information about clean water. The research recommends increasing the awareness and participation of the community in the provision of sustainable clean water. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Water supply

来源：评论

学校读者我要写书评

暂无评论

Learning curves for noisy heterogeneous feature-subsampled ridge ensembles 23

Learning curves for noisy heterogeneous feature-subsampled r...

引用

Proceedings of the 37th International Conference on Neural Information Processing Systems

作者： Benjamin S. Ruben Cengiz Pehlevan Biophysics Graduate Program Center for Brain Science and John A. Paulson School of Engineering and Applied Sciences and Kempner Institute for the Study of Natural and Artificial Intelligence Harvard University Cambridge MA

Feature bagging is a well-established ensembling method which aims to reduce prediction variance by combining predictions of many estimators trained on subsets or projections of features. Here, we develop a theory of feature-bagging in noisy least-squares ridge ensembles and simplify the resulting learning curves in the special case of equicorrelated data. Using analytical learning curves, we demonstrate that subsampling shifts the double-descent peak of a linear predictor. This leads us to introduce heterogeneous feature ensembling, with estimators built on varying numbers of feature dimensions, as a computationally efficient method to mitigate double-descent. Then, we compare the performance of a feature-subsampling ensemble to a single linear predictor, describing a trade-off between noise amplification due to subsampling and noise reduction due to ensembling. Our qualitative insights carry over to linear classifiers applied to image classification tasks with realistic datasets constructed using a state-of-the-art deep learning feature map.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Development and Validation of Customer Intention Factors for Live-Stream Shopping 7

Development and Validation of Customer Intention Factors for...

引用

7th International Conference on New Media Studies, CONMEDIA 2023

作者： Fernando, Erick Hidayat, Desman Pengaribuan, Christian Haposan Prabowo, Yulius Denny Universitas Multimedia Nusantara Faculty of Engineering and Informatics Department of Information System Tangerang Indonesia Bina Nusantara University Binus Entrepreneurship Center Management Department Jakarta11480 Indonesia Sampoerna University Management Study Program Faculty of Business Jakarta12780 Indonesia Bina Nusantara University Binus Online Learning Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350307504

Along with technological improvements, online shopping is currently developing quickly. Online shops started by selling electronics, clothing, food, and home appliances and continue to evolve, selling various things. Currently, digital marketing has a novel technique, namely live shopping, where sellers can present, promote and offer their products directly through live streaming on social media and e-commerce platforms. This research will focus on gaining insight into the factors influencing customers to watch and purchase through live streaming. This research is an early-stage study of exploring and searching for research models. The study used a literature review approach by reviewing similar previous research articles. Several variable components were used in this study. The findings of the factors include visibility capacity, meta-vocation capacity, purchase orientation capacity, social presence, price, perceived product quality, perceived enjoyment, purchase orientation, perceived usefulness, and intention to buy. These factors were tested and proved to be valid with Cronbach's Alpha value being more than 0.5 and reliable with the value of the loading factor a greater than 0.6. Criteria The factors of the findings for further analysis of the relationship between factors and other variables. © 2023 IEEE.

关键词： Domestic appliances

来源：评论

学校读者我要写书评

暂无评论

Decision Support System for Employee Performance Assessment for Administration Promotion Using Analytic Hierarchy Process 7

Decision Support System for Employee Performance Assessment ...

引用

7th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2021

作者： Kurniawan, Helmi Tanjung, Muhammad Rusdi Swondo, Ashari P Sari, Eka Purnama Negoro, Wahyu Saptha Yusfrizal Universitas Potensi Utama Faculty of Engineering and Computer Science Medan Indonesia Universitas Potensi Utama Visual Communication Design Study Program Medan Indonesia Universitas Potensi Utama English Education Study Program Medan Indonesia Universitas Potensi Utama Faculty of Economy and Business Medan Indonesia

ISBN: (纸本)9781728175225

Companies that are ready to compete must have effective management. To improve employee performance in effective management, it is necessary to support competent and competent employees in their fields. Employees who have an attitude of struggle, dedication, discipline, and professional ability are very likely to have work performance in carrying out their duties so that they are more efficient and effective. To increase employee morale, the Company will reward the best employees and be loyal to the company. This is done as an appreciation for what the employee has done for the company in achieving the company's targets. Decision making to determine the best employees can be done by the company by assessing the performance that has been done by its employees within a certain period of time. Employee performance appraisal is influenced by several criteria, namely attitude, attendance, performance and Service Period. The decision support system for selecting the best employees uses the Analytical Hierarchy Process (AHP) method, where the decision-making process is carried out by assessing alternative choices based on predetermined criteria and can also help the Company to make the best employee decisions. The alternative matrix calculation yields a score of 25.1% for Safrizal, 25.8% for Dedek Rizky, 25.1% for Amira Syakira and 24.0% for Reni Kumala, and the employee who is recommended as the best employee is the employee with the highest score, namely Dedek Rizky with a score of 25.8%. © 2021 IEEE.

关键词： Decision support systems

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：