2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)最新文献_第5页

Optimal economic dispatch for power generation under the lagrange method 拉格朗日方法下的发电最优经济调度

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466034

M. Marwan, Muhammad Dihyah Marwan, M. Anshar, J. Jamal, Aksan Aksan, A. Apollo

引用次数: 3

3D Control System of Arm Robot Prototype for Skin Cancer Detection 用于皮肤癌检测的手臂机器人样机三维控制系统

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466061

D. Novita, Muhamad Yerri Suyud Hasim, B. M. Wibawa, A. Turnip

{"title":"3D Control System of Arm Robot Prototype for Skin Cancer Detection","authors":"D. Novita, Muhamad Yerri Suyud Hasim, B. M. Wibawa, A. Turnip","doi":"10.1109/AIMS52415.2021.9466061","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466061","url":null,"abstract":"Arm robot has a lack of control systems that depend on desired control for assistive medical. Our laboratory robotics & artificial intelligent at Padjadjaran University created skin cancer detection of arm robot with dark flow framework to identify skin cancer in real-time. The implementation of the arm robot was for increasing the accuracy, precision, and stability. The main purpose of this paper was to control an arm robot for skin cancer detection that is capable to scan the whole body skin to localize the skin cancers by driving the manipulator in circular or elliptical skimming. To initiate the communication with the arm robot which used Dynamixel as the actuators, we applied USB2Dynamixel as the communicator. SMPS2Dynamixel was used to supply the power into servo motors. 3D Control system software has designed, and it had some features such as; forward kinematic movement, inverse kinematic movement, and 3D simulation to help user visualize the position of the arm robot. Control software was built in MATLAB GUI environment and 3D simulation adapted Peter Corke Robotics Toolbox.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124443623","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

IoT-based Accident Detection and Emergency Alert System for Motorbikes 基于物联网的摩托车事故检测与应急报警系统

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466055

Saad Ur Rehman, Shaheryar Ahmad Khan, A. Arif, U. S. Khan

引用次数: 4

Design of 2D LiDAR-based Indoor SLAM for Medical Robot Covid-19 基于二维激光雷达的医疗机器人室内SLAM设计

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466015

Sami Fauzan Ramadhan, M. Taufik, D. Novita, A. Turnip

引用次数: 3

Rice Quality Detection Using Gradient Tree Boosting Based On Electronic Nose Dataset 基于电子鼻数据集的梯度树增强稻米品质检测

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466073

Irvan Aulia, D. Wijaya, W. Hidayat

引用次数: 4

Design and Implementation of Pick and Place Manipulation System for Industrial Automation 工业自动化装卸操作系统的设计与实现

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466074

Mehreen Naeem, S. Aslam, M. Suhaib, Seemab Gul, Zeeshan Murtaza, Muhammad Jawad Khan

{"title":"Design and Implementation of Pick and Place Manipulation System for Industrial Automation","authors":"Mehreen Naeem, S. Aslam, M. Suhaib, Seemab Gul, Zeeshan Murtaza, Muhammad Jawad Khan","doi":"10.1109/AIMS52415.2021.9466074","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466074","url":null,"abstract":"This work presents an autonomous pick and pack system for industrial applications consisting of a 4-DOF (degree-of-freedom) robotic manipulator and the vision perception. The system is capable to detect and capture products/materials from a production line and place them in a packaging box one at a time. The final placement of the object in the box is carried out with the desired orientation. The adopted configuration of the manipulator is RRPR equipped with an electromagnetic end-effector. Inverse kinematics approach is used to determine the end-effector motion sequence in order to reach the desired locations within the workspace. The manipulator is equipped with Feetech SC servo motor with built-in PID controller at each joint to achieve precise motion of joint angles. An RGB camera is mounted right above the conveyer belt to capture the region of interest in the environment. Captured image is further preprocessed by image processing techniques. Region properties is used to extract the orientation of the object. Arduino Mega 2560 is used as a control board for motors and an interface with the PC. A graphical user interface (GUI) is developed in MATLAB to monitor and control the end-to-end pick and pack system featuring both manual and automatic modes.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124072085","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

Empathetic Chatbot Enhancement and Development: A Literature Review 移情聊天机器人的增强与发展:文献综述

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466027

Ajie Kusuma Wardhana, R. Ferdiana, Indriana Hidayah

{"title":"Empathetic Chatbot Enhancement and Development: A Literature Review","authors":"Ajie Kusuma Wardhana, R. Ferdiana, Indriana Hidayah","doi":"10.1109/AIMS52415.2021.9466027","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466027","url":null,"abstract":"Chatbots are dialog engines for interactive user experience which help by providing stakeholders such as consumers, device owners, maintenance workers, and so on with real-time tools (answers to any questions, instructions to use the equipment, help for decisions, etc.). Nowadays, chatbot usage is not only for closed domain needs but has also become common across companies. Some businesses use chatbots for their customer support to provide details for the client and also to allow online transactions. It is crucial that businesses should not look at chatbots simply as a digital medium for advertisement. They should be focusing on the part of the Chatbot communication service. To improve the interaction of chatbot communication service, a blended skill chatbot was proven to have a great performance which also having an inference, personalization, empathy, and knowledge. In this paper, we conduct a literature review that giving an insight into the recent development and statistical inference for empathetic chatbots and having a result of 13% of a hybrid model, 27% of a retrieval model, and 60% of the generative model to be analyzed its trends.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123043749","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

Malicious Image Detection Using Convolutional Neural Network 基于卷积神经网络的恶意图像检测

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466042

Ahsan Iqbal, Samabia Tehsin, Sumaira Kausar, Nayab Mishal

{"title":"Malicious Image Detection Using Convolutional Neural Network","authors":"Ahsan Iqbal, Samabia Tehsin, Sumaira Kausar, Nayab Mishal","doi":"10.1109/AIMS52415.2021.9466042","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466042","url":null,"abstract":"Images have become a threat to the security of the systems and networks since JPEG headers are concealed with malicious payloads. Header in a JPEG has many segments which can be manipulated with executable codes to prepare for malware attack. Images are usually perceived as harmless and non-risky by the users so they have become the focus of attention for carrying the cyber-attacks. Security threats in systems and networks which are caused by malicious images, are needed to be minimized by introducing a detection technique, a technique which can involve features of headers. In our proposed method JPEG headers are transformed into grayscale images to employ classification. Convolutional Neural Network based model is proposed which aims the detection of malicious images. We have used a dataset of JPEGs which was collected from different honeypots installed by CRC of Bahria University. Dataset contains 1100 malicious and 1100 benign images to employ the detection method based on deep learning. We have achieved 96% accuracy. Our method of malicious image detection would help everyone to prevent the malware attacks which are carried through images.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122537932","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

Performance Analysis on Artificial Bee Colony Algorithm for Path Planning and Collision Avoidance in Swarm Unmanned Aerial Vehicle 蜂群无人机路径规划与避碰的人工蜂群算法性能分析

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466085

Gholiyana Muntasha, N. Karna, S. Shin

{"title":"Performance Analysis on Artificial Bee Colony Algorithm for Path Planning and Collision Avoidance in Swarm Unmanned Aerial Vehicle","authors":"Gholiyana Muntasha, N. Karna, S. Shin","doi":"10.1109/AIMS52415.2021.9466085","DOIUrl":"https://doi.org/10.1109/AIMS52415.2021.9466085","url":null,"abstract":"With the rapid advancement of wireless communication, sensors, and battery technologies, Swarm Unmanned Aerial Vehicles (UAVs) have been widely used for traffic surveillance, and military application. Swarm UAVs, however, need to plan paths through the atmosphere, effectively preventing any collision that can occur when flying a multiple UAV simultaneously. This study proposes to design an anti-collision and a path planning system of swarm UAVs by using Artificial Bee Colony (ABC) algorithm. The ABC algorithm is an optimization method inspired by the foraging behavior of honeybees. The self-organization trait of honeybees enables them to coordinate themselves to create a global and local optimum. The proposed system, however, uses the ABC algorithm to optimize UAV's velocity, i.e., to reach its destination efficiently in the shortest path while avoiding collision among drones. The establishment of a constraint of a minimum acceptable distance among UAVs enables the algorithm to search for an alternative path in avoiding a collision. The simulation, however, reveals a successful convergence of a swarm UAVs towards a destination with no collision. During the trial with 12 and 20 drones, for instance, all UAVs successfully arrive at their goals with 0 potential collisions. However, during the test with 50 drones, there are 12 possible collisions. Once swarm drones reach their goal position at rest, the cluster will not overlap with other agents, as demonstrated in the visualization. Therefore, the ABC algorithm has satisfied the success criteria for this project and is suitable for swarm drone applications.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116356630","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

Socially Assistive Robot Interaction by Objects Detection and Face Recognition on Convolutional Neural Network for Parental Monitoring 基于卷积神经网络的物体检测和人脸识别的社交辅助机器人交互

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS) Pub Date : 2021-04-28 DOI: 10.1109/AIMS52415.2021.9466091

Dendi Hazik Fuadi, D. Novita, Mohammad Taufik

引用次数: 2