Indoor RFID localization algorithm based on adaptive bat algorithm by Liangbo XIE, Yuyang LI, Yong WANG, Mu ZHOU, Wei NIE

“…Aiming at the problem that long time-consuming and poor positioning accuracy using geometric method in the traditional UHF RFID indoor localization algorithm, an RFID indoor positioning algorithm based on adaptive bat algorithm (ABA) was proposed.Firstly, the phase of multiple frequency points was obtained by frequency hopping technology, and the location evaluation function of bat algorithm was established based on the angle information of multiple signal classification (MUSIC) algorithm and the distance information of clustering.Secondly, the bat location was initialized by tent reverse learning to increase the diversity of the population, and the adaptive weight factor was introduced to update the bat location.Finally, the target position was searched iteratively based on the position evaluation function to achieve fast centimeter level positioning.Experimental results show that the median localization error of the proposed algorithm is 7.74 cm, and the real-time performance is improved by 12 times compared with the traditional positioning algorithm based on the Chinese remainder theorem (CRT).…”
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Case Report of ICF-RS Assessment Standard in Patients with Cerebral Hemorrhage by Malan ZHANG, Wei SHEN, Linghui HE, Youcheng XU, Libin RAO

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La Montarana: a Late Bronze Age settlement by Tarquinia (Viterbo, Italy). With Appendix on faunal remains by Carlo Persiani, Francesca Alhaique

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Human activity recognition algorithm based on the spatial feature for WBAN by Chi JIN, Zhijun LI, Dayang SUN, Fengye HU

“…Traditional image-based activity recognition algorithms have some problems,such as high computational cost,numerous blind spots and easy privacy leakage.To solve the problem above,the CCLA (convolution-convolutional long short-term memory-attention) activity recognition algorithm based on the acceleration and gyroscope data was proposed.The convolutional neural network was used to extract spatial features of activity data and got the hidden time series information from the convolutional long short-term memory network.Simulating human brain selecting attention mechanism,attention-encoder was constructed to extract the spatial and temporal features at a higher level.The CCLA algorithm was tested on UCI-HAPT (university of California Irvine-smartphone-based recognition of human activities and postural transitions) public data set,and realized the classification of 12 types of activity with the accuracy of 93.27%.…”
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EKSISTENSI MAJAS DALAM ALQUR'AN SEBAGAI KHAZANAH KEILMUAN ISLAM by Moh. Muhtador Nawafi

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THEORETICAL ASPECTS OF HUMAN RESOURCES CAPACITY DEVELOPMENT by Yu. A. Zinnurova, E. M. Shironina

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Requiem for the Term ‘Carcinoid Tumour’ in the Gastrointestinal Tract? by Runjan Chetty

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Spatial planning through the lens of technological modes by Дина Саттарова, Елизавета Ото, Марина Иванкова, Екатерина Крючкова

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Projeto by Geraldo Augusto Fernandes

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Routing in Wireless Multimedia Sensor Networks: A Survey of Existing Protocols and Open Research Issues by Vikas Bhandary, Amita Malik, Sanjay Kumar

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Source cell-phone identification from recorded speech using non-speech segments by Anshan PEI, Rangding WANG, Diqun YAN

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First record of Opilo germanus Chevrolat, 1843 (Coleoptera: Cleridae) from Italy with remarks on its distribution in Europe by Erik Tihelka

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Identifying a Point-Symmetrical Morphology in the Core-Collapse Supernova Remnant W44 by Noam Soker

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De la contingence et de la carrière by Marie-Ange Schiltz

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Study of emotion recognition based on fusion multi-modal bio-signal with SAE and LSTM recurrent neural network by You-jun LI, Jia-jin HUANG, Hai-yuan WANG, Ning ZHONG

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Transport factor in defining regional boundaries by I. V. Anokhov

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Models of distribution of public transport correspondence by T. N. Sakulyeva

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Survey of attack graph based network security metric by Hao HU, Yuling LIU, Yuchen ZHANG, Hongqi ZHANG

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FAULT DIAGNOSIS OF PUMPING UNIT BASED ON GLOBAL AND LOCAL FEATURES by ZHAO XinYu, FAN Jun, HE Fang, TANG LiWen

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Research on agricultural IoT pest and disease image recognition algorithm based on STM32 by Botao XU, Xiang CHEN

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