International Journal Software Engineering and Computer Science (IJSECS)最新文献_第2页

Web-Based System Inventory at PT Sapta Tunas Teknologi PT Sapta Tunas Teknologi 公司基于网络的系统清单

International Journal Software Engineering and Computer Science (IJSECS) Pub Date : 2023-12-10 DOI: 10.35870/ijsecs.v3i3.1831

Nicholas Saputra, Bagus Mulyawan

{"title":"Web-Based System Inventory at PT Sapta Tunas Teknologi","authors":"Nicholas Saputra, Bagus Mulyawan","doi":"10.35870/ijsecs.v3i3.1831","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i3.1831","url":null,"abstract":"An Information System is a complex framework comprising multiple components that interact harmoniously to gather, store, process, produce, and disseminate valuable information, thereby facilitating and enhancing the operational efficiency of a company's business processes. For technology-driven enterprises like PT Sapta Tunas Teknologi, the implementation of an efficient and integrated inventory information system serves as a pivotal asset. Currently, PT Sapta Tunas Teknologi faces challenges in asset management, including difficulties in stock monitoring, scheduling demonstrations, and maintaining the status of demo devices such as servers, storage units, and switches. The management of demo devices has been predominantly reliant on Google Spreadsheets distributed via the WhatsApp application. This research endeavors to design and deploy a web-based inventory information system, with the primary objective of augmenting the effectiveness of demo device management at PT Sapta Tunas Teknologi. The system's design adheres to the System Development Life Cycle (SDLC) Waterfall methodology, employing a blend of programming languages such as HTML, PHP, Javascript, and the Laravel Framework, while the user interface is enriched by the Bootstrap Framework. The underlying data management system is facilitated by a MySQL database, ensuring robust and efficient data handling.","PeriodicalId":189392,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"1145 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138982438","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

Financial Risk Management in Indonesian Banking: The Integrative Role of Data Analytics and Predictive Algorithms 印度尼西亚银行业的金融风险管理：数据分析和预测算法的综合作用

International Journal Software Engineering and Computer Science (IJSECS) Pub Date : 2023-12-10 DOI: 10.35870/ijsecs.v3i3.1823

Yulianto Umar Rofi'i

{"title":"Financial Risk Management in Indonesian Banking: The Integrative Role of Data Analytics and Predictive Algorithms","authors":"Yulianto Umar Rofi'i","doi":"10.35870/ijsecs.v3i3.1823","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i3.1823","url":null,"abstract":"This research delves into the realm of financial risk management within the Indonesian banking sector, with a focus on leveraging Data Analytics and Predictive Algorithms. Amidst the global financial market's complexities and the evolving nature of banking risks, this study aims to provide a comprehensive understanding of how advanced technological tools can enhance risk identification, evaluation, and management. Utilizing extensive datasets from the Indonesian Banking Statistics, Central Statistics Agency, and Bank Indonesia, the research explores the intricate relationship between various banking risks and macroeconomic factors. The study employs sophisticated predictive models to analyze data, focusing on credit and operational risks. The findings highlight the significant impact of macroeconomic variables on banking risks and the effectiveness of predictive models in risk assessment. The research contributes to the existing literature by offering a detailed analysis of the integration of machine learning and big data analytics in banking risk management. It also provides strategic insights for banks to adopt more dynamic, data-driven risk management strategies in the face of economic and industrial changes. The study underlines the importance of continuous innovation in technological applications to meet the evolving demands of the banking sector.","PeriodicalId":189392,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"551 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138982835","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

Analysis of E-Commerce Purchase Patterns Using Big Data: An Integrative Approach to Understanding Consumer Behavior 利用大数据分析电子商务购买模式：了解消费者行为的综合方法

International Journal Software Engineering and Computer Science (IJSECS) Pub Date : 2023-12-10 DOI: 10.35870/ijsecs.v3i3.1840

Caroline, Yuswardi, Yulianto Umar Rofi'i

{"title":"Analysis of E-Commerce Purchase Patterns Using Big Data: An Integrative Approach to Understanding Consumer Behavior","authors":"Caroline, Yuswardi, Yulianto Umar Rofi'i","doi":"10.35870/ijsecs.v3i3.1840","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i3.1840","url":null,"abstract":"This research undertakes a meticulous examination of the Indonesian e-commerce industry, aiming to unravel the intricate patterns governing consumer behavior within this rapidly evolving digital landscape. Employing an extensive dataset and cutting-edge data analysis methodologies, this study discerns pivotal trends that have engendered transformative shifts in Indonesia's e-commerce sector. A conspicuous trend uncovered is the escalating reliance on instant messaging platforms and social media conduits for e-commerce transactions. This pronounced transition underscores the remarkable adaptability of businesses to the digital milieu, thereby accentuating the significance of a digitally oriented business paradigm. Furthermore, this research brings to light the prevailing predilection among non-formal e-commerce enterprises, whose revenues predominantly dwell below the IDR 300 million threshold. Notably, the Cash on Delivery (COD) method remains the preeminent payment mechanism. These observations illuminate the structural underpinnings of the market and consumer payment proclivities, thereby exerting a discernible influence on pricing strategies and payment processing mechanisms adopted by enterprises. Moreover, the study delves into the transformative effects of the COVID-19 pandemic, which have expedited the digital metamorphosis of both consumers and e-commerce enterprises. This acceleration has ushered in a new epoch characterized by novel opportunities and concomitant challenges within the e-commerce domain. In summation, this research furnishes a multidimensional and academically rigorous perspective on the Indonesian e-commerce landscape, furnishing actionable insights indispensable for businesses and policymakers alike. The comprehension of these evolving trends is indispensable for strategic formulation and policy calibration, enabling adept navigation of the dynamic e-commerce milieu.","PeriodicalId":189392,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"134 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138982223","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

Design and Implementation of An Efficient Information System for Broiler Chicken Rearing: A Case Analysis VR Broiler Farm 设计和实施高效的肉鸡饲养信息系统：肉鸡养殖场案例分析

International Journal Software Engineering and Computer Science (IJSECS) Pub Date : 2023-12-10 DOI: 10.35870/ijsecs.v3i3.1775

Marhani Wiji Ayu Kusumawati, Muhammad Fachrie

{"title":"Design and Implementation of An Efficient Information System for Broiler Chicken Rearing: A Case Analysis VR Broiler Farm","authors":"Marhani Wiji Ayu Kusumawati, Muhammad Fachrie","doi":"10.35870/ijsecs.v3i3.1775","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i3.1775","url":null,"abstract":"With the rapid advancements in information technology, there is a corresponding increase in the competitiveness of business enterprises. In this context, the utilization of computerized business management administration is recommended to streamline business operations, thereby enhancing efficiency and effectiveness, ultimately leading to increased profitability. VR Broiler Farm, a specialized broiler chicken farming business, currently records its broiler chicken maintenance data manually. This practice, stemming from a lack of utilization of contemporary technology, leads to longer data recording processes and potential data inconsistencies. Given this scenario, there is a clear need for an information system tailored for poultry farmers to facilitate faster and more efficient data recording. This system would cover various aspects including scheduling identification, chicken feed requirements, mortality rates, total chicken count, and other data relevant to broiler chicken farming. Therefore, the implementation of an information system for managing broiler chicken farming can provide valuable insights into the developmental trends of broiler chicken production.","PeriodicalId":189392,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"68 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138982337","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

Comparative Analysis VGG16 Vs MobileNet Performance for Fish Identification 鱼类识别 VGG16 与 MobileNet 性能对比分析

International Journal Software Engineering and Computer Science (IJSECS) Pub Date : 2023-12-10 DOI: 10.35870/ijsecs.v3i3.1763

Djarot Hindarto

{"title":"Comparative Analysis VGG16 Vs MobileNet Performance for Fish Identification","authors":"Djarot Hindarto","doi":"10.35870/ijsecs.v3i3.1763","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i3.1763","url":null,"abstract":"This research aims to conduct a comparative evaluation of the efficacy of two neural network architectures in the field of fish identification through the utilization of supervised learning techniques. The evaluation of VGG16 and MobileNet, which are prominent deep learning architectures, has been conducted about their speed, accuracy, and efficiency in resource utilization. To assess the classification performance of both architectures, we employed a dataset encompassing diverse fish categories. The findings indicated that the VGG16 model demonstrated superior accuracy in fish classification, albeit due to increased computational time and resource utilization. On the contrary, MobileNet exhibits enhanced speed and efficiency, albeit at a marginal cost to its accuracy. The findings of this study have the potential to inform the selection of deep learning models for fish recognition scenarios, considering the specific requirements of the task, such as prioritizing accuracy or efficiency. The findings mentioned above offer significant insights that can be utilized in the advancement of Artificial Intelligence (AI)-based applications within the domains of fisheries resource management and environmental monitoring. These applications specifically necessitate precise and effective fish recognition capabilities. The comparison findings indicate that the accuracy achieved by VGG16 was 0.99, whereas MobileNet also attained an accuracy of 0.99.","PeriodicalId":189392,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"967 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138982631","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

Revolutionizing Automotive Parts Classification Using InceptionV3 Transfer Learning 利用 InceptionV3 迁移学习实现汽车零部件分类的革命性突破

International Journal Software Engineering and Computer Science (IJSECS) Pub Date : 2023-12-10 DOI: 10.35870/ijsecs.v3i3.1784

Djarot Hindarto

{"title":"Revolutionizing Automotive Parts Classification Using InceptionV3 Transfer Learning","authors":"Djarot Hindarto","doi":"10.35870/ijsecs.v3i3.1784","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i3.1784","url":null,"abstract":"This study presents a novel methodology for classifying automotive parts by implementing the Transfer Learning technique, utilizing the InceptionV3 architecture. We use a proprietary dataset encompassing diverse categories of automotive components for training and evaluating the model. The experimental findings demonstrate that this approach attains a performance accuracy level of 93.78% and a loss rate of 0.2938. The efficacy of InceptionV3 Transfer Learning in addressing the intricacies associated with automotive parts classification is demonstrated through its utilization of pre-existing knowledge from diverse domains. The resultant model reflects a capacity to accurately discern spare parts, thereby enhancing the efficiency of the automotive inventory management process. Utilizing InceptionV3 Transfer Learning in this scenario yields a notable and favorable outcome, thereby revolutionizing the traditional framework of automotive parts categorization. The model's efficacy in enhancing the efficiency and accuracy of automotive inventory management is evidenced by its achievement of a notable precision level and a minimal loss rate. The implications of these findings are significant in addressing intricate classification challenges within the automotive industry. They pave the way for utilizing intelligent technologies to optimize parts identification and management processes. This study establishes a foundation for a novel approach to comprehending and applying categorization systems for automotive components. This is achieved by harnessing the capabilities of Transfer Learning using the InceptionV3 model.","PeriodicalId":189392,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"900 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138982722","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

Development of A QR Code-Based Attendance System for Factory Employees 开发基于二维码的工厂员工考勤系统

International Journal Software Engineering and Computer Science (IJSECS) Pub Date : 2023-12-10 DOI: 10.35870/ijsecs.v3i3.1774

Ikhwan Nuralif, Muhammad Fachrie

{"title":"Development of A QR Code-Based Attendance System for Factory Employees","authors":"Ikhwan Nuralif, Muhammad Fachrie","doi":"10.35870/ijsecs.v3i3.1774","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i3.1774","url":null,"abstract":"Employees are the most asset for any company. Achieving the best results from employees should be accompanied by a comfortable working environment. Whether working in an office or in the field, attendance is of utmost importance. Attendance is a crucial factor that can support and motivate every work activity. In this advanced era, many companies still rely on manual attendance systems. The use of manual systems often leads to errors caused by both administrators and employees, such as inefficient paper usage, failure to report absences, delayed submission of monthly reports, or loss of paper records. These issues can lead to employee carelessness, as there is a risk of attendance manipulation with manual (paper-based) attendance systems, resulting in attendance data falsification. By implementing QR codes, employees only need to scan the code using their smartphones. This research employs Unified Modeling Language (UML) for modeling. The application is then developed using Kodular and Firebase. The purpose of this application is to simplify attendance reporting for business owners or company managers, eliminating the need for manual attendance data recording, and making the attendance system of the company or factory more efficient.","PeriodicalId":189392,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"1008 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138982795","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

Implementation of Flower Recognition using Convolutional Neural Networks 利用卷积神经网络实现花朵识别

International Journal Software Engineering and Computer Science (IJSECS) Pub Date : 2023-12-10 DOI: 10.35870/ijsecs.v3i3.1808

Djarot Hindarto, Nadia Amalia

{"title":"Implementation of Flower Recognition using Convolutional Neural Networks","authors":"Djarot Hindarto, Nadia Amalia","doi":"10.35870/ijsecs.v3i3.1808","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i3.1808","url":null,"abstract":"The recognition of flowers holds significant importance within the realms of ecological research, horticulture, and diverse technological applications. This study presents \"Blossom Insight,\" an innovative methodology for flower identification that employs Convolutional Neural Networks within the Keras framework. This study aims to examine the necessity of precise and effective flower categorization, considering the extensive range of floral species. The methodology encompasses a rigorous procedure of data preprocessing, utilizing sophisticated techniques to augment the model's capacity to distinguish intricate characteristics of flowers. The crux of the study revolves around the amalgamation of a Convolutional Neural Network, a robust deep learning methodology, with Keras, a user-accessible open-source framework for machine learning. The integration of these components enables the development of a resilient flower recognition model that possesses the ability to acquire complex patterns and characteristics from input images. The training of the model encompasses exposure to a wide range of flower datasets, which enhances its ability to generalize across different species and environmental conditions effectively. The findings illustrate the effectiveness of \"Blossom Insight\" in attaining a notable level of precision in tasks related to the identification of flowers. The implementation not only contributes to the advancement of the field of computer vision but also offers a valuable resource for researchers, horticulturists, and enthusiasts seeking a comprehensive understanding and accurate identification of floral species. The development of \"Blossom Insight\" signifies a notable advancement in utilizing deep learning techniques to augment our understanding and admiration of the wide variety present in the realm of flowers.","PeriodicalId":189392,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"924 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138982691","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

Design of Website-Based Tourism Travel Information System (Case Study : Tenta Tour) 设计基于网站的旅游旅行信息系统（案例研究：Tenta Tour）

International Journal Software Engineering and Computer Science (IJSECS) Pub Date : 2023-12-10 DOI: 10.35870/ijsecs.v3i3.1788

R. G. Kawi, Suprihadi

{"title":"Design of Website-Based Tourism Travel Information System (Case Study : Tenta Tour)","authors":"R. G. Kawi, Suprihadi","doi":"10.35870/ijsecs.v3i3.1788","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i3.1788","url":null,"abstract":"The Information System Design for the Tenta Tour Application, hosted on a website, is a critical component of modern tourism services. This research employs the rigorous Black Box Testing methodology to comprehensively evaluate the application's functionality, disregarding its internal structure. The study focuses on identifying potential errors and areas for improvement to enhance the quality and reliability of the system in delivering travel services to users. Through systematic Black Box Testing, the research investigates the Tenta Tour Application Information System on the web platform, with a primary emphasis on functionality rather than delving into the intricacies of the internal system structure. Test data is meticulously analyzed to uncover potential errors and opportunities for enhancements, all aimed at elevating the reliability and quality of travel services. The research findings successfully meet established criteria by effectively identifying potential functional errors within the Tenta Tour Application Information System when deployed on a website. The application of the Black Box Testing methodology has proven instrumental in uncovering functional issues that can be proactively addressed. These discoveries constitute a substantial contribution to enhancing the reliability and overall quality of travel services accessible through the application. In conclusion, this research underscores the efficacy of the Black Box Testing method in assessing the Tenta Tour Application Information System hosted on a website. The test results have proficiently identified potential functional errors and provided invaluable insights to enhance the application's reliability. The implementation of improvements informed by these findings is anticipated to significantly raise the standard of travel services rendered through this platform.","PeriodicalId":189392,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"23 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138982061","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

Implementation of The Citizen Services Information System RW 016 Kapuk West Jakarta City 实施公民服务信息系统 RW 016 Kapuk 西雅加达市

International Journal Software Engineering and Computer Science (IJSECS) Pub Date : 2023-12-10 DOI: 10.35870/ijsecs.v3i3.1824

Farasya Syifa Hidayat, Zyad Rusdi, Novario Jaya Perdana

{"title":"Implementation of The Citizen Services Information System RW 016 Kapuk West Jakarta City","authors":"Farasya Syifa Hidayat, Zyad Rusdi, Novario Jaya Perdana","doi":"10.35870/ijsecs.v3i3.1824","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i3.1824","url":null,"abstract":"The advent of e-government in Indonesia, initiated by the Presidential Instruction in 2003, has paved the way for the digital transformation of governmental services at both national and regional levels. This research focuses on the utilization of this transformation by Rukun Warga (RW) 16, Kapuk Village, West Jakarta, demonstrating a shift towards digital-based administration in local governance. The study aims to facilitate more efficient and effective communication and information dissemination between the RW.16 administrative body and its residents. The deployment of the proposed application is expected to streamline public service processes by providing residents with comprehensive access to various public services information specific to RW.16. Furthermore, the application empowers residents to submit letters, express their aspirations, and report environmental issues directly to the RW.16 management, thereby enabling prompt resolution of these concerns. The application's development adhered to the System Development Life Cycle (SDLC) using the waterfall methodology, ensuring a structured and sequential approach. The backend database is built on MySQL, while the front-end interfaces are developed using HTML and PHP, supported by the Laravel framework. This study highlights the potential of e-government initiatives in enhancing public service delivery and community engagement.","PeriodicalId":189392,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"129 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138982227","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