2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)最新文献_第9页

CEOs Compensation and Firm Performance: Evidence from Bhutan ceo薪酬与公司绩效:来自不丹的证据

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410718

Kriti Bhaswar Singh, Deepak Tulsiram Patil, Rahul Khandelwal

引用次数: 2

Behavioural Biometrics in Feature Profiles-Engineering Healthcare and Rehabilitation Systems 特征档案中的行为生物识别-工程、医疗保健和康复系统

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410778

Safa Silat, L. Sadath

引用次数: 1

Brake-Vision: A Machine Vision-Based Inference Approach of Vehicle Braking Detection for Collision Warning Oriented System 制动视觉:面向碰撞预警系统的基于机器视觉的车辆制动检测推理方法

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410750

L. L. Lacatan, Rico S. Santos, Joel W. Pinkihan, Roderick Y. Vicente, Roger S. Tamargo

{"title":"Brake-Vision: A Machine Vision-Based Inference Approach of Vehicle Braking Detection for Collision Warning Oriented System","authors":"L. L. Lacatan, Rico S. Santos, Joel W. Pinkihan, Roderick Y. Vicente, Roger S. Tamargo","doi":"10.1109/ICCIKE51210.2021.9410750","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410750","url":null,"abstract":"Accidents happen everywhere and at any moment, but the road is one of the most dangerous locations where accidents occur. One of the common vehicle or road accidents is the rear-end collision, this occurs when a vehicle crashes or hits a vehicle in front of it. With the growing number of rear-end collisions, various technologies or mechanisms have been created or invented with the advent of technology to avoid and prevent rear-end collisions, such as crash sensors, a collision detection system to identify or measure the distance between two cars traveling in the same path, etc. In recent years, with the help of AI emerging technologies, some studies and research suggest brake light detection for avoidance or as prevention of rear-end collision incidents. The study focused on developing a brake light detection system for the prevention or avoidance of rear-end collision accidents using deep learning with high accuracy. The study uses the YOLOv3 algorithm for training and validation of the datasets along with the Pascal VOC and LabelImg tool for annotating the datasets. Result of testing, the system ranges from 40.0553% to 84.74234% detection accuracy. This supports that the system is capable to detect brake lights to prevent rear-end collisions","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"9 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":"124650949","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: 5

COVIBOT- An intelligent WhatsApp based advising bot for Covid-19 COVIBOT-基于WhatsApp的Covid-19智能咨询机器人

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410801

Nayyar Ahmed Khan, Jawad Albatein

引用次数: 6

A Survey on Infant Emotion Recognition through Video Clips 通过视频片段对婴儿情绪识别的调查

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410786

Gauri Vankudre, Vikram Ghulaxe, Ankit Dhomane, Sagar Badlani, Tushar Rane

引用次数: 2

FIDIC Contracts: Applicability in UAE & COVID-19 Impact FIDIC合同:在阿联酋的适用性和COVID-19的影响

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410780

Thishani Fernando, Sagee Geetha Sethu

{"title":"FIDIC Contracts: Applicability in UAE & COVID-19 Impact","authors":"Thishani Fernando, Sagee Geetha Sethu","doi":"10.1109/ICCIKE51210.2021.9410780","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410780","url":null,"abstract":"The law on construction in U.A.E. is not distinguished by a separate legislation from the law which is applicable to contracts as disputes generally; i.e. the U.A.E. Civil Code provides for a trifling set of provisions regarding the same. Albeit, there exists the FIDIC provisions – an internationally recognized and accepted set of principles and rules governing construction contracts. This paper aims to comment on the applicability of FIDIC provisions in the U.A.E., the issues that ordinarily arise from the FIDIC conditions against the backdrop of construction law in the U.A.E., along with a remark on the COVID-19 impact regarding the same. The study finds that FIDIC contracts are indeed applicable in the U.A.E. although not to a great extent i.e. not many construction projects are governed by the FIDIC provisions in U.A.E., as there are clauses within the U.A.E. Civil Code (Muqaawala) which briefly fend for the law on construction contracts. With that being said, the FIDIC Red, Pink, Yellow & Silver books amongst the rainbow suite of books are most applicable in the U.A.E. In regards to the existing law on construction contracts in the U.A.E., the study notes areas of contrast such as provisions regarding interest and delay damages as well as areas which blend in against the backdrop of FIDIC provisions such as suspension & termination clauses. This study further examines and interprets the engineer’s role in construction contracts as no specific mention has been made regarding the same in the provisions of the civil code. Moreover, COVID-19 may perhaps be considered a Force Majeure event provided it renders performance of contract impossible and matters affected by COVID can be claimed only upon the discretionary power of the U.A.E. courts to declare the same. In conclusion, the FIDIC contracts can very well be included in construction contracts in the U.A.E. provided, they be drafted with care, keeping in mind the nature of functionality of U.A.E.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"11 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":"114930530","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

Use of Improvement Strategies for Excessive Inventory Levels Reduction 使用改进策略减少过多的库存水平

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410761

Satya Shah, Siew Chen

引用次数: 1

Batch Image Processing in Facial Detection Applications 批处理图像处理在人脸检测中的应用

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410789

Mousa Al-Qawasmi, N. Mekhiel, Kwame Bannor, Blessvin Christer Devakumar

{"title":"Batch Image Processing in Facial Detection Applications","authors":"Mousa Al-Qawasmi, N. Mekhiel, Kwame Bannor, Blessvin Christer Devakumar","doi":"10.1109/ICCIKE51210.2021.9410789","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410789","url":null,"abstract":"Batch image processing for facial detection involves running a facial detection algorithm, in parallel, on batches containing multiple images rather than serially on a sequence consisting of single images. Batch image processing is crucial in live-video facial detection applications where the real-time processing of many frames is required. The performance of a facial detection application can be drastically improved when facial detection is done in parallel on batches containing multiple images. In this work, we analyze the performance gain due to running a GPU-based facial detection algorithm, in parallel, on batches of images versus the performance of running the GPU-based facial detection algorithm serially on a sequence of single images. We vary the number of images in which faces are to-be detected from 128 images to 1024 images. For each of the prior mentioned image sets, we measure the performance when the number of images per detection batch is varied from 1 image per batch (sequential) to 1024 images per batch in multiples of 2. We find that the technique of batch image processing improves the performance of a face detection application by approximately 10-11x on to-be-detected image sets consisting of 128, 256, and 1024 images. This performance improvement is attributed to a reduction in the communication overhead between the host CPU and GPU occurring on the PCI bus. Moreover, the technique of batch image processing enables the utilization of more of the GPU’s resources that are left underutilized when GPU-based facial detection is done serially on a sequence of single images.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"74 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":"127362171","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

Evaluation of Response Time for Linked Data applications using CoAP and HTTP 使用CoAP和HTTP的关联数据应用程序的响应时间评估

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410759

Vishwesh Akre, M. Shahzad, Asif Nawaz, Om Parkash, Anis Ul Rehman, Hasan Ali Khattak, Doulat Khan, Sheeraz Ahmed, Pankaj Mohindru

引用次数: 1

Design of Prosthetic Finger Using Topology Optimization 基于拓扑优化的假指设计

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410751

S. Srivastava, S. Salunkhe, S. Pande, V. Naranje

引用次数: 1