|
|
|
|
|
Shitu Chen, Ling Feng, Xuteng Bao, Zhe Jiang, Bowen Xing and Jingxiang Xu
Path planning is crucial for unmanned surface vehicles (USVs) to navigate and avoid obstacles efficiently. This study evaluates and contrasts various USV path-planning algorithms, focusing on their effectiveness in dynamic obstacle avoidance, resistance ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Muhammad Sher Ramzan, Anees Asghar, Ata Ullah, Fawaz Alsolami and Iftikhar Ahmad
The Internet of Things (IoT) consists of complex and dynamically aggregated elements or smart entities that need decentralized supervision for data exchanging throughout different networks. The artificial bee colony (ABC) is utilized in optimization prob...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wen Cao, Jiaqi Xu, Yong Zhang, Siqi Zhao, Chu Xu and Xiaofeng Wu
The artificial bee colony algorithm (ABC) is a promising metaheuristic algorithm for continuous optimization problems, but it performs poorly in solving discrete problems. To address this issue, this paper proposes a hybrid discrete artificial bee colony...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dansong Yue, Shuqi Shang, Kai Feng, Haiqing Wang, Xiaoning He, Zelong Zhao, Ning Zhang, Baiqiang Zuo and Dongwei Wang
Improving the positioning accuracy and stability of a single BDS/INS sensor system in agricultural machinery is important for expanding the application scenarios of agricultural machinery. This paper proposes a navigation and positioning model based on a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nesrine Touafek, Fatima Benbouzid-Si Tayeb and Asma Ladj
In the last decades, the availability constraint as well as learning and deteriorating effects were introduced into the production scheduling theory to simulate real-world case studies and to overcome the limitation of the classical models. To the best o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dan Wang, Liqiang Liu, Yueyang Ben, Pingan Dai and Jiancheng Wang
Position errors of inertial navigation systems (INS) increase over time after long-term voyages of the autonomous underwater vehicle. Terrain-aided navigation (TAN) can effectively reduce the accumulated error of the INS. However, traditional TAN algorit...
ver más
|
|
|
|
|
|
|
|
|
|
|
Duc-Tien Bui, Hexuan Li, Francesco De Cristofaro and Arno Eichberger
Lateral vehicle control is of high importance in automated vehicles as it directly influences the vehicle?s performance and safety during operation. The linear quadratic regulator (LQR) controller stands out due to its high-performance characteristics an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jamil Al-Sawwa and Mohammad Almseidin
With the rapid development of internet technology, the amount of collected or generated data has increased exponentially. The sheer volume, complexity, and unbalanced nature of this data pose a challenge to the scientific community to extract meaningful ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Saeid Mehdizadeh, Babak Mohammadi and Farshad Ahmadi
Potential of a classic adaptive neuro-fuzzy inference system (ANFIS) was evaluated in the current study for estimating the daily dew point temperature (Tdew). The study area consists of two stations located in Iran, namely the Rasht and Urmia. The daily ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jialin Hou, Jingtao Zhang, Wanying Wu, Tianguo Jin and Kai Zhou
Agricultural machinery rental is a new service form that uses big data in agriculture to improve the utilization rate of agricultural machinery and promote the development of the agricultural economy. To realize agricultural machinery scheduling optimiza...
ver más
|
|
|
|
|
|