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localization

localization的相关文献在1989年到2023年内共计169篇,主要集中在肿瘤学、数学、自动化技术、计算机技术 等领域,其中期刊论文165篇、会议论文4篇、相关期刊83种,包括中国科学、世界胃肠病学杂志:英文版、固体力学学报:英文版等; 相关会议3种,包括2011年中国智能自动化会议、第三届国际信息技术与管理科学学术研讨会、第二届中国传感器网络学术会议暨第一届中韩传感器网络学术研讨会(CWSN2008\CKWSN2008)等;localization的相关文献由546位作者贡献,包括周文书、Alexander Makhlin、Adda Redouane Ahmed Bacha等。

localization—发文量

期刊论文>

论文:165 占比:97.63%

会议论文>

论文:4 占比:2.37%

总计:169篇

localization—发文趋势图

localization

-研究学者

  • 周文书
  • Alexander Makhlin
  • Adda Redouane Ahmed Bacha
  • Adeniran Ademuwagun
  • Alain Lambert
  • Dominique Gruyer
  • Enliang Wang
  • Erdal Oruklu
  • Jafar Saniie
  • Mei Wang
  • 期刊论文
  • 会议论文

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    • Siguo Bi; Cong Wang; Jiajie Shen; Wang Xiang; Wei Ni; Xin Wang; Bochun Wu; Yi Gong
    • 摘要: The misreading problem of a passive ultra-high-frequency(UHF)radio frequency identification(RFID)tag is a frequent problem arising in the field of librarianship.Unfortunately,existing solutions are something inefficient,e.g.,extra resource requirement,inaccuracy,and empiricism.To this end,under comprehensive analysis on the passive UHF RFID application in the librarianship scenario,a novel and judicious approach based on RFID localization is proposed to address such a misreading problem.Extensive simulation results show that the proposed approach can outperform the existing ones and can be an attractive candidate in practice.
    • Xiao-Ju Zhu; Shui-Xia Liu; Qiu-Tang Li; Yuan-Jing Jiang
    • 摘要: BACKGROUND The indwelling nasogastric tube is commonly used for supplying enteral nutrition to patients who are unable to feed themselves,and accurate positioning is essential in the indwelling nasogastric tube in the body of the aforementioned patients.In clinical practice,abdominal radiography,auscultation,and clinical determination of the pH of the gastric juice are routinely used by medical personnel to determine the position of the tube;however,those treatments have proved limitations in specific cases.There are few case reports on the precise positioning of the nasogastric tube in patients with coronavirus disease 2019(COVID-19),for whom a supply of necessary nutrition support is significant throughout the process of treatment.CASE SUMMARY A 79-year-old patient,diagnosed with COVID-19 at the stage of combined syndromes with severe bacterial lung infection,respiratory failure,multiple comorbidities,and a poor nutritional status,was presented to us and required an indwelling nasogastric tube for enteral nutrition support.After pre-treatment assessments including observation of the patient’s nasal feeding status and examination of the nasal septal deviation,inflammation,obstruction,nasal leakage of cerebrospinal fluid,and other disorders that might render intubation inappropriate,we measured and marked the length of the nasogastric tube to be placed and delivered the tube to the intended length in the standard manner.Then further scrutiny was conducted to ensure that the tube was not coiled in the mouth,and gentle movements were made to avoid damage to the esophageal mucosa.However,back draw of the gastric juice using an empty needle failed,and the stethoscope could not be used for auscultation due to the specific condition presented by the internal organs of the patient,and the end of the tube was placed in saline with no bubbles spilling out.Therefore,it was not possible to determine whether the nasogastric tube was placed exactly in the stomach and no nutrient infusion was performed for the time being.Subsequently,the ultrasound probe was utilized to view the condition of the patient’s stomach,where the nasogastric tube was found to be translucent and running parallel to the esophagus shaped as“=”.The pre-conditions were achieved and 100 mL nutritional fluid was fed to the patient,who did not experience any discomfort throughout the procedure.His vital signs were stable with no adverse effects.CONCLUSION We achieved successfully used ultrasound to position the nasogastric tube in a 79-year-old patient with COVID-19.The repeatable ultrasound application does not involve radiation and causes less disturbance in the neck,making it advantageous for rapid positioning of the nasogastric tube and worthy of clinical promotion and application.
    • HAIFENG WANG; JUAN GUO; TIEQIAO WEN
    • 摘要: The characterization and functions of transmembrane protein 59-like(TMEM59L),a type I transmembrane protein,are not clearly understood until now.Some TMEM59L and fluorescent fusion proteins constructs were transfected in cell lines and liposomes,and their localization was observed.The effects of protein constructs were studied by fluorescence microscopy and western blotting.This study reports a novel function of human TMEM59L(hTMEM59L)related to the expression and location of some proteins.In addition,we report two novel splice variants of human TMEM59L(hTMEM59L).The localization of mutants of this protein,lacking a middle region,and a Cterminal deletion,markedly differed from that of full-length hTMEM59L.Intracellular movement assessment in living cells showed the localization of TMEM59L to vesicular structures in the Golgi bodies,and the cell membrane was observed in living cells.Overexpression of TMEM59L markedly increased the level of amyloid precursor protein because of TMEM59L-mediated inhibition of cell membrane transport but did not affect the expression of betasecretase 2.TMEM59L overexpression also significantly increased the levels of Rab GDP dissociation inhibitor alpha and Rab GDP dissociation inhibitor beta proteins.These results suggest that TMEM59L is involved in the packaging of acidic vesicles and thereby functions in the trafficking and processing of intracellular proteins.
    • RThenmozhi; Abdul Wahid Nasir; Vijaya Krishna Sonthi; TAvudaiappan; Seifedine Kadry; Kuntha Pin; Yunyoung Nam
    • 摘要: Wireless sensor networks(WSN)comprise a set of numerous cheap sensors placed in the target region.A primary function of the WSN is to avail the location details of the event occurrences or the node.A major challenge in WSN is node localization which plays an important role in data gathering applications.Since GPS is expensive and inaccurate in indoor regions,effective node localization techniques are needed.The major intention of localization is for determining the place of node in short period with minimum computation.To achieve this,bio-inspired algorithms are used and node localization is assumed as an optimization problem in a multidimensional space.This paper introduces a new Sparrow Search Algorithm with Doppler Effect(SSA-DE)for Node Localization in Wireless Networks.The SSA is generally stimulated by the group wisdom,foraging,and anti-predation behaviors of sparrows.Besides,the Doppler Effect is incorporated into the SSA to further improve the node localization performance.In addition,the SSA-DE model defines the position of node in an iterative manner using Euclidian distance as the fitness function.The presented SSA-DE model is implanted in MATLAB R2014.An extensive set of experimentation is carried out and the results are examined under a varying number of anchor nodes and ranging error.The attained experimental outcome ensured the superior efficiency of the SSA-DE technique over the existing techniques.
    • Zhen Xu; Shuai Guo; Tao Song; Yuwen Li; Lingdong Zeng
    • 摘要: The effectiveness of mobile robot aided for architectural construction depends strongly on its accurate localization ability.Localization of mobile robot is increasingly important for the printing of buildings in the construction scene.Although many available studies on the localization have been conducted,only a few studies have addressed the more challenging problem of localization for mobile robot in large-scale ongoing and featureless scenes.To realize the accurate localization of mobile robot in designated stations,we build an artificial landmark map and propose a novel nonlinear optimization algorithm based on graphs to reduce the uncertainty of the whole map.Then,the performances of localization for mobile robot based on the original and optimized map are compared and evaluated.Finally,experimental results show that the average absolute localization errors that adopted the proposed algorithm is reduced by about 21%compared to that of the original map.
    • S.G.Siddharth; G.M.Tamilselvan; C.Venkatesh
    • 摘要: In underground operation,primary consideration is safety.In recent decades,for minimizing accident and for preventing major economic losses and casualties,wireless sensors are used by various large mineral countries through early warning.The Improved DV-Hop Localization Algorithm(IDVHLA)is used in existing works for doing this.However,accurate anchor node detection is impossible in existing works with the malicious nodes presence,where there won’t be any accurate sharing of anchor node’s location information.In case of emergency situation,faster communication is a highly complex one.A technique calledModified Distance Vector Hop based Multipath Routing Protocol(MDVHMRP)is introduced in this proposed research work for resolving this.In this work,to detect anchor node position,a Modified Distance Vector Hop technique is introduced.This research work considers time taken and session time for computing neighbour node’s presence in addition to hop count values.Malicious nodes presence can be avoided by considering session time in neighbour node presence detection.The alert message are send by people in emergency crisis to sever in initial condition.Then Dynamic Source Routing(DSR)routing protocol is used for doing immediate route path selection.In case of route path failure,for ensuring uninterrupted communication and faster communication,this work introduces amulti path routing.Themodified distance vector hop technique is used for predicting anchor node location information and predicted information will be transmitted.In NS2 simulation environment,overall evaluation of this research work is carried out.When compared with available techniques,localization accuracy is enhanced by proposed technique as proven in experimental results.
    • Kiran Jot Singh; Divneet Singh Kapoor; Khushal Thakur; Anshul Sharma; Xiao-Zhi Gao
    • 摘要: The near future has been envisioned as a collaboration of humans with mobile robots to help in the day-to-day tasks.In this paper,we present a viable approach for a real-time computer vision based object detection and recognition for efficient indoor navigation of a mobile robot.The mobile robotic systems are utilized mainly for home assistance,emergency services and surveillance,in which critical action needs to be taken within a fraction of second or real-time.The object detection and recognition is enhanced with utilization of the proposed algorithm based on the modification of You Look Only Once(YOLO)algorithm,with lesser computational requirements and relatively smaller weight size of the network structure.The proposed computer-vision based algorithm has been compared with the other conventional object detection/recognition algorithms,in terms of mean Average Precision(mAP)score,mean inference time,weight size and false positive percentage.The presented framework also makes use of the result of efficient object detection/recognition,to aid the mobile robot navigate in an indoor environment with the utilization of the results produced by the proposed algorithm.The presented framework can be further utilized for a wide variety of applications involving indoor navigation robots for different services.
    • Gagandeep Singh Walia; Parulpreet Singh; Manwinder Singh; Mohamed Abouhawwash; Hyung Ju Park; Byeong-Gwon Kang; Shubham Mahajan; Amit Kant Pandit
    • 摘要: Location information plays an important role in most of the applications in Wireless Sensor Network(WSN).Recently,many localization techniques have been proposed,while most of these deals with two Dimensional applications.Whereas,in Three Dimensional applications the task is complex and there are large variations in the altitude levels.In these 3D environments,the sensors are placed in mountains for tracking and deployed in air for monitoring pollution level.For such applications,2D localization models are not reliable.Due to this,the design of 3D localization systems in WSNs faces new challenges.In this paper,in order to find unknown nodes in Three-Dimensional environment,only single anchor node is used.In the simulation-based environment,the nodes with unknown locations are moving at middle&lower layers whereas the top layer is equipped with single anchor node.A novel soft computing technique namely Adaptive Plant Propagation Algorithm(APPA)is introduced to obtain the optimized locations of these mobile nodes.Thesemobile target nodes are heterogeneous and deployed in an anisotropic environment having an Irregularity(Degree of Irregularity(DOI))value set to 0.01.The simulation results present that proposed APPAalgorithm outperforms as tested among other meta-heuristic optimization techniques in terms of localization error,computational time,and the located sensor nodes.
    • Inam Ullah; Siyu Qian; Zhixiang Deng; Jong-Hyouk Lee
    • 摘要: The Extended Kalman Filter(EKF)has received abundant attention with the growing demands for robotic localization.The EKF algorithm is more realistic in non-linear systems,which has an autonomous white noise in both the system and the estimation model.Also,in the field of engineering,most systems are non-linear.Therefore,the EKF attracts more attention than the Kalman Filter(KF).In this paper,we propose an EKF-based localization algorithm by edge computing,and a mobile robot is used to update its location concerning the landmark.This localization algorithm aims to achieve a high level of accuracy and wider coverage.The proposed algorithm is helpful for the research related to the use of EKF localization algorithms.Simulation results demonstrate that,under the situations presented in the paper,the proposed localization algorithm is more accurate compared with the current state-of-the-art localization algorithms.
    • Chui-Zhen Chen; Junjie Qi; Dong-Hui Xu; XinCheng Xie
    • 摘要: Recently, the magnetic topological insulator(TI) MnBi2Te4 emerged as a competitive platform to realize quantum anomalous Hall(QAH) states. We report a Berry curvature splitting mechanism to realize the QAH effect in the disordered magnetic TI multilayers when switching from an antiferromagnetic order to a ferromagnetic order. We reveal that the splitting of spin-resolved Berry curvature, originating from the separation of the critical points during the magnetic switching, can give rise to a QAH insulator. We present a global phase diagram, and also provide a phenomenological picture to elucidate the Berry curvature splitting mechanism by the evolution of topological charges. At last, we predict that the Berry curvature splitting mechanism will lead to a reentrant QAH effect, which can be detected by tuning the gate voltage. Our theory will be instructive for the studies of the QAH effect in MnBi2Te4 in future experiments.
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