2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)最新文献_第2页

A Proactive Management Assistant Chatbot for Software Engineering Teams: Prototype and Preliminary Evaluation 软件工程团队的主动管理助理聊天机器人:原型和初步评估

2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2021-10-23 DOI: 10.1109/NILES53778.2021.9600547

Abdelrahman H. Hefny, Georgios A. Dafoulas, Manal A. Ismail

{"title":"A Proactive Management Assistant Chatbot for Software Engineering Teams: Prototype and Preliminary Evaluation","authors":"Abdelrahman H. Hefny, Georgios A. Dafoulas, Manal A. Ismail","doi":"10.1109/NILES53778.2021.9600547","DOIUrl":"https://doi.org/10.1109/NILES53778.2021.9600547","url":null,"abstract":"This work presents a prototype and preliminary evaluation experiments of a management conversational assistant for software engineering teams. Such teams commonly rely on text chat for communications using specialized collaboration platforms such as Slack or Microsoft Teams. A conversational assistant integrated into these platforms can help in several tasks related to project and team management, thus benefiting both managers and software developers. The proposed design of the conversational assistant is described in terms of its architectural design and interaction design, and the important design decisions are explained. Preliminary evaluation shows that the proposed chatbot can be used effectively to interact with users reactively and proactively over public and private channels. However, for better results, a specific intent classifier should be used for each combination of user roles and channel types. In addition, interacting to messages with unspecified target over public channels is affected by the relatively limited intent classifier accuracy and still requires improvement.","PeriodicalId":249153,"journal":{"name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122016326","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

Gate-on-Source TFET Analytical Model: Role of Mobile Charges and Depletion Regions 栅极-源型TFET分析模型:移动电荷和耗竭区的作用

2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2021-10-23 DOI: 10.1109/NILES53778.2021.9600102

Mahmoud Eliwy, Muhammad Elgamal, M. Salem, M. Fedawy, A. Shaker

引用次数: 0

Dielectrophoretic based Microfluidic for nanoparticles “viruses” separation 基于介电泳的纳米颗粒“病毒”分离微流体

2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2021-10-23 DOI: 10.1109/NILES53778.2021.9600490

Hamdy Abdelhamid, I. Khalaf, A. Hussien, Reda Abdelbaset

{"title":"Dielectrophoretic based Microfluidic for nanoparticles “viruses” separation","authors":"Hamdy Abdelhamid, I. Khalaf, A. Hussien, Reda Abdelbaset","doi":"10.1109/NILES53778.2021.9600490","DOIUrl":"https://doi.org/10.1109/NILES53778.2021.9600490","url":null,"abstract":"The objective of this paper is to provide a microfluidic platform that may be useful to manipulate and characterize different submicron particles such as latex spheres as well as viruses (E.g. SARS-COV-2) through the concept of dielectrophoresis. The significance of recent research towards microfluidics-based diagnostic chips is apparent in health care, in our homes, and also very prominently in the fight against the COVID 19 pandemic: Coronavirus disease 2019 (COVID-19) is a newly emerging human infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), early diagnosis and management are crucial for containing the outbreak. Here, we report a microfluidic device for separating mixture of different viruses. Using appropriate microfluidic channels, flow velocity, microelectrode arrays and voltage settings, particles can be trapped or moved between regions of high or low electric fields. The magnitude and direction of the dielectrophoretic force on the particle depends on the effective dielectric properties of fluid and particles, so that a heterogeneous mixture of particles can be separated to produce a more homogeneous population. In this paper the controlled separation of nanoparticles is demonstrated. With upper and lower electrode arrays, it is shown that different types of submicron latex beads can be spatially separated. The separation occurs because of differences in magnitude and direction of the dielectrophoretic force and drag force on different populations of particles.","PeriodicalId":249153,"journal":{"name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133217427","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

Sentiment Analysis using Machine Learning and Deep Learning Models on Movies Reviews 在电影评论中使用机器学习和深度学习模型的情感分析

2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2021-10-23 DOI: 10.1109/NILES53778.2021.9600548

Yomna Eid Rizk, Walaa Medhat Asal

引用次数: 1

Multi-Architecture Fault-Tolerant Approach for In-Mission Constraint & Requirement Variability 任务约束与需求可变性的多体系结构容错方法

2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2021-10-23 DOI: 10.1109/NILES53778.2021.9600514

Beatrice Shokry, T. Refaat, H. Amer

引用次数: 0

Modeling Collaborative AI for Dynamic Systems of Blockchain-ed Autonomous Agents 基于区块链的自主智能体动态系统协同人工智能建模

2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2021-10-23 DOI: 10.1109/NILES53778.2021.9600519

Hisham Arafat Shehata, Mohamed El-Helw

{"title":"Modeling Collaborative AI for Dynamic Systems of Blockchain-ed Autonomous Agents","authors":"Hisham Arafat Shehata, Mohamed El-Helw","doi":"10.1109/NILES53778.2021.9600519","DOIUrl":"https://doi.org/10.1109/NILES53778.2021.9600519","url":null,"abstract":"Artificial Intelligence has been strongly evolving disrupting almost every research and application domain. One of the key attributes - and at the same time an enabler - of today's innovations is the massive connectivity resulted in the opportunity to exploit Artificial Intelligence across distributed network of self-contained smart agents those could range from software bots to complex devices like autonomous vehicles, IoT collations, UAVs and Robot Swarms. Such heterogenous networks of Autonomous Agents could differ in size, networking topology, protocols, computing profiles, algorithms, interaction strategy among other attributes thus require different factors to achieve desired combined intelligent goals. While Blockchain technology has been evolving with the birth and swift breakthrough of cryptocurrencies and cryptocontracts, alternate types have emerged to serve as a layer of trust among independent peer-to-peer computing nodes lend itself to be a foundation for distributed systems of edge inference agents. In this paper we discuss adopting a Collaborative AI edge model for dynamic systems of Blockchain-ed Autonomous Agents.","PeriodicalId":249153,"journal":{"name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123235885","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

Design, simulation, and kinematics of 9-DOF Serial-Parallel Hybrid Manipulator Robot 9-DOF串并联混合机械臂机器人的设计、仿真与运动学研究

2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2021-10-23 DOI: 10.1109/NILES53778.2021.9600537

M. Elsamanty, Ehab M. Faidallah, Yehia H. Hossameldin, S. Rabbo, S. Maged

{"title":"Design, simulation, and kinematics of 9-DOF Serial-Parallel Hybrid Manipulator Robot","authors":"M. Elsamanty, Ehab M. Faidallah, Yehia H. Hossameldin, S. Rabbo, S. Maged","doi":"10.1109/NILES53778.2021.9600537","DOIUrl":"https://doi.org/10.1109/NILES53778.2021.9600537","url":null,"abstract":"Serial manipulator robot is one of the most advanced robots in the last decade. The demand for this type of robot leads the researchers to develop and improve the robot to increase its workspace, speed and to minimize the control complexity. This paper presents a novel robot configuration that combines a 6 DOF serial manipulator with a 3 DOF spherical parallel wrist. The serial manipulator is KUKA kr6 R900 type, which is a real industrial robot. At the same time, the parallel spherical wrist is 3-RRS type (Revolute- Revolute-Spherical Joint), which can support one translation movement in the Z-axis and two movements for orientations in the X-Y axis. This new model is designed to enhance the serial robot performance by increasing the position and orientations of the end-effector. The paper presents a complete conceptual design for the new robot configuration. Then, a kinematic model was derived, and a complete simulation model using SimScape was presented. The mathematical outcomes and the corresponding simulation of different postures of the hybrid manipulator are compared, and the maximum induced error between numerical and simulation was less than 1%. Finally, the newly presented robot configuration was able to expand the workspace of the robot.","PeriodicalId":249153,"journal":{"name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123590172","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

Lid-Driven Cavity Flow with Elliptic Obstacle at Different Orientations 不同方向椭圆障碍盖驱动腔体流动

2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2021-10-23 DOI: 10.1109/NILES53778.2021.9600497

Yusuf T. Elbadry, A. Hamada, M. Boraey, M. Abdelrahman

引用次数: 0

Double Fractional-order Masks Image Enhancement 双分数阶掩模图像增强

2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2021-10-23 DOI: 10.1109/NILES53778.2021.9600543

Alaa AbdAlRahman, Samar M. Ismail, L. Said, A. Radwan

引用次数: 2

Data Mining Students' performance in a Higher Learning Environment 数据挖掘:高等教育环境下学生的表现

2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES) Pub Date : 2021-10-23 DOI: 10.1109/NILES53778.2021.9600504

Ravneil Nand, Ashneel Chand, E. Reddy

{"title":"Data Mining Students' performance in a Higher Learning Environment","authors":"Ravneil Nand, Ashneel Chand, E. Reddy","doi":"10.1109/NILES53778.2021.9600504","DOIUrl":"https://doi.org/10.1109/NILES53778.2021.9600504","url":null,"abstract":"Student performance in higher education has become one of the most widely studied area. While modelling students' performance, data plays a pivotal role in forecasting their performance and this is where the data mining applications are now becoming widely used. There are various factors which determine the student performance. In this study, eight attributes are used as inputs which are considered most influential in determining students' performance in the Pacific. Statistical analysis is done to find out which attribute has the highest influence to student performance. In this research, different algorithms are utilized for building the classification model, each of them using various classification techniques. The classification techniques used are Artificial Neural Network, Decision Tree, Decision Table, and Naïve Bayes. The dataset of 651 records used in this research is an imbalanced set, which is later transformed to balance set through under sampling. Neural Network is one of the classification techniques that has performed well on both, imbalanced and balanced datasets with the highest prediction accuracy of 96.8%. The analysis further shows that internal assessment has weak positive relationship with student performance while demographic data has no significant relationship.","PeriodicalId":249153,"journal":{"name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120973248","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