2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)最新文献_第10页

Case Study Analysis on Readiness of 3PL Industry in Fruit Distribution Company 水果配送公司第三方物流行业准备度案例分析

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410788

Satya Shah, Lim Huey Yin

{"title":"Case Study Analysis on Readiness of 3PL Industry in Fruit Distribution Company","authors":"Satya Shah, Lim Huey Yin","doi":"10.1109/ICCIKE51210.2021.9410788","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410788","url":null,"abstract":"The research aims to examine the level of readiness among third-party logistics in Malaysia in fruits distributors. Z-Fruit Ltd is selected as the case study for this research. Z-Fruit Ltd faces insufficient resources in dealing with their market expansion into East Malaysia as well as the South East Asia region. Through a literature review, this study examined the characteristics of fresh fruits logistics and determine how third-party logistics may possibly assist in solving their supply chain problems. A quantitative research method was used for this research study. Survey data were collected from 150 registered members of Federation of Malaysia Freight Forwarders (FMFF). The collected research data has revealed that 40% of third-party industry in Malaysia are not ready to handle the fresh perishable logistics. Through the research data, it showed that the criterion of Z-Fruit Ltd set towards the third-party is available and practicable in the existing market, however it is considered as pretty niche among the industry standards. This can be seen with most third-party vendors providing warehousing and consolidate freight services but not the temperature-controlled service in avoiding any operation complexity and business risk. In short, outsourcing is the most strategic method for Z-Fruit Ltd to solve their insufficient resources at the current stage. The conducted research study provides Z-Fruit Ltd a selection criterion in searching for a dependable third-party logistics partner.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133081615","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

Performance study and analysis of smart and smallest energy management system 智能最小能耗管理系统的性能研究与分析

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410781

M. Shahabuddin, R. Dudhe, Anup Surendran, Abhilash Ravi, Laarni Zabala

引用次数: 0

Exchange Rate Volatility – Can Central Banks Really Help? 汇率波动——央行真的能帮上忙吗?

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410727

Anupam Mehrotra, A. Munjal

{"title":"Exchange Rate Volatility – Can Central Banks Really Help?","authors":"Anupam Mehrotra, A. Munjal","doi":"10.1109/ICCIKE51210.2021.9410727","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410727","url":null,"abstract":"The domestic liquidity conditions are driven chiefly by autonomous factors such as currency in circulation, government cash balances and foreign exchange flows. While currency in circulation and government cash balances have a bearing mostly on domestic liquidity conditions and ultimately on interest rates, foreign exchange flows are also expected to have an impact on the exchange rate and the real economy. In the modern globalized world, volatile capital flows pose significant challenges to liquidity management and the conduct of monetary policy. This pushes central banks to maneuver the flow of foreign currencies into market in a bid to neutralize the undesired impact and retain monetary control. However, in closely inter-connected economies of the world, the operations of the central banks in the open market to stabilize exchange rates in the case of excessive inflows or outflows are frequently seen as ineffective. The central banks still intervene and at times have a cost which can be justified only when effectiveness of such intervention could be established clearly. The objective of this research paper is to analyze whether central banks, particularly in developing economies - with special reference to the Indian central bank -intervene enough to bring about any desired level of exchange rates or to moderate their volatility, or they remain ineffective by and large in view of the volume and velocity of the capital flows.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134226765","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

Incentives or Sanctions: An enforcement theory perspective to sustainable consumerism 激励还是制裁:可持续消费主义的执行理论视角

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410671

Lijo John, K. S. Siddharth

{"title":"Incentives or Sanctions: An enforcement theory perspective to sustainable consumerism","authors":"Lijo John, K. S. Siddharth","doi":"10.1109/ICCIKE51210.2021.9410671","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410671","url":null,"abstract":"In the last decade, consumers across the world have embraced the idea of sustainable consumerism. Various industrial reports have claimed that sustainable consumerism will be a major paradigm shift across the globe with spillover effects into developing economies as well. This shift in consumer preferences has posed challenges to the business communities to revamp their supply chains. Owing to the trans-national capabilities of all major supply chains, the consumers and producers are geographically separated. This geographical separation comes with associated socio-economic boundaries that characterize consumer and producer economies. While developed markets with strong institutional frameworks offer ample support to establish, enable and pay for the sustainable consumerism, the producer economies, especially in developing economies are not in a position to enable or take up the excess cost. Hence, from the supply chain perspective, the firms need to take responsibility for their producer to ensure their products are sustainable. This becomes particularly difficult in the developing market owing to the market dynamic (price-based competition) and/or institutional voids. This study explores this aspect of the dilemma and explores what economic levers, incentives or penalties, can be used incentivize the relevant stakeholder in the supply chain to improve their sustainability performance.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"30 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132623986","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

Influence of water flow rate on the greenhouse humidification in arid region 干旱区水流量对温室加湿的影响

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410764

S. Salins, Shivakumar, S. Reddy

引用次数: 0

Application of Clustering Algorithm for Effective Customer Segmentation in E-Commerce 聚类算法在电子商务中有效客户细分中的应用

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410713

Ritu Punhani, V. Arora, S. Sabitha, Vinod Kumar Shukla

{"title":"Application of Clustering Algorithm for Effective Customer Segmentation in E-Commerce","authors":"Ritu Punhani, V. Arora, S. Sabitha, Vinod Kumar Shukla","doi":"10.1109/ICCIKE51210.2021.9410713","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410713","url":null,"abstract":"Due to the huge volume of customers in market and many platforms used by customers for purchasing, the focus turns to e-commerce organizations. It has become important for an organization to segment and cluster their customers and thereby take essential actions to survive against other competitive organizations. Since there are so many options, each organization must satisfy the demands of their customers or they might lose them to other alternatives that already exist in the market. Since the digital market is growing at a lightning speed the requirement of providing a complete experience to users becomes even more essential. In this paper, the dataset of an ecommerce site has been taken to identify all the parameters for analysis, few of them are - date, customer id, product category, payment method, value, time onsite, clicks InSite. The focus of this paper is to analyse the database on above defined parameters by using K-Mean algorithm. Every business in the market should have an effective strategy to address the people and retain their profitable users for its growth. Nowadays, users need personalisation therefore it has now become a need to prioritize experiences or you can’t stand against competitors. Summing up, the paper focuses on introducing customer segmentation, it’s basics, explaining why it is needed in the digital market, filtering the customer data effectively and analysis.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115632944","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

CI-MCMS: Computational Intelligence Based Machine Condition Monitoring System 基于计算智能的机器状态监测系统

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410744

Vedant Bahel, Arunesh Mishra

引用次数: 1

Modeling Business Intelligence Process: Toward Smart Data-Driven Strategies 商业智能过程建模:迈向智能数据驱动策略

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410804

A. Najdawi, Sree karan Patkuri

{"title":"Modeling Business Intelligence Process: Toward Smart Data-Driven Strategies","authors":"A. Najdawi, Sree karan Patkuri","doi":"10.1109/ICCIKE51210.2021.9410804","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410804","url":null,"abstract":"This paper aims to provide an updated conceptualization of the Business Intelligence Process in general and how the operational data are transformed into valuable insights to enhance business processes design and achieve strategic competitive advantage. The current research will review previous studies on effectively adopting and implementing data-driven strategies for intelligent decision-making using emerging technologies such as Applied Artificial Intelligence, Machine Learning, and Big Data Analytics. This work’s contribution will be an updated conceptual framework of the modern Business Intelligence Process constructed using the concept mapping tool. Such a conceptual framework will provide a fresh look into future research projects in this area and help BI practitioners and organizations plan, develop, and implement big data strategies to gain a competitive advantage in decision-making and innovation over their competitors. Additionally, this paper explores the process of Intelligent Business decisions, the various tools, techniques used for making an Intelligent Business decision.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131655374","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

Role of Nanosensors in agriculture 纳米传感器在农业中的作用

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410709

Meby Susan Johnson, S. Sajeev, R. Nair

{"title":"Role of Nanosensors in agriculture","authors":"Meby Susan Johnson, S. Sajeev, R. Nair","doi":"10.1109/ICCIKE51210.2021.9410709","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410709","url":null,"abstract":"Nano-biosensors play an important role in revolutionizing farming through the development of diagnostic tools and techniques. These sensors are accurate, efficient, and cost-effective in dealing with various food, agriculture, and environmental issues. Some of the sensor applications in agriculture include the identification of heavy metal ions, pollutants, microbial load, and pathogens, along with rapid temperature, traceability, and humidity monitoring. In this review study, we are analyzing the selective nature of nanosensors for the target of molecules with immobilized bio receptor probes and various specific agricultural applications. These nanosensors have unique characteristics that make them important for the agricultural industry such as small size, compact, effective, unique, sensitive and relatively inexpensive. These sensors are placed on the leaves of the plant where hydrogen peroxide signaling waves are observed. Plants use Hydrogen peroxide (H2O2) inside their leaves to communicate. They send signals that activate the leaf cells to create compounds that help fend off predators, such as insects, to fix them. Nano sensors consist of nanoscale particles such as nanoscale wires (high sensitivity to detection), carbon nanotubes (high surface area), thin films, nanoparticles and nanomaterials from polymers. These sensors detect the change in the conductance when a semiconducting carbon nanotube is exposed to certain chemicals. In our review study, we are analyzing the application and role of nanosensors in agriculture and crop protection. Thus, nanosensors play an vital role in crop protection and promoting the concept of sustainable agriculture and will be discussed in this study.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127501830","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: 7

A Comparative Study of Deep Transfer Learning Techniques for Cultural (Aeta) Dance Classification utilizing Skeleton-Based Choreographic Motion Capture Data 利用基于骨骼的舞蹈动作捕捉数据进行文化(Aeta)舞蹈分类的深度迁移学习技术的比较研究

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410796

Jennalyn N. Mindoro, E. Festijo, M. T. D. de Guzman

{"title":"A Comparative Study of Deep Transfer Learning Techniques for Cultural (Aeta) Dance Classification utilizing Skeleton-Based Choreographic Motion Capture Data","authors":"Jennalyn N. Mindoro, E. Festijo, M. T. D. de Guzman","doi":"10.1109/ICCIKE51210.2021.9410796","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410796","url":null,"abstract":"The advancement of motion-sensing technology and depth cameras has led to a vast opportunity in motion analysis and monitoring applications, kinesiology analysis, and safeguarding intangible cultural heritage (ICH). A technique that allows a computer to understand human behavior is necessary to analyze and identify the motion using the motion capture data. The integration of motion sensing technology such as markerless motion capture devices, inertial sensors, and deep learning techniques gives an innovative approach to recording, analyzing, and visually recognizing human choreographic motion. Convolutional Neural Network (CNN) is one of the best-known techniques in learning patterns from images and videos and is most widely used among deep learning architectures for vision applications. This study explored different CNN architecture to determine the best prediction classifier based on its performances, such as VGG19, InceptionV3, and MobileNetV2. This study aims to perform an image classification approach of one of the Philippines’ cultural dances, Aeta dances, utilizing skeleton-based motion capture data using CNN. The test results were assessed based on the generated training accuracy and evaluation of the loss function to assess the models’ overall efficiency. VGG19 produced the highest model cultural dance classification accuracy among the three architectures, which resulted in 98.68% compared to InceptionV3 and MobileNetV2. Thus, the VGG19 model illustrates the optimal transfer learning result implies the best fit model than InceptionV3 and MobileNetV2.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128852677","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