A Study on The Marketing Strategy of IoT (Internet of Things)-based Smart Home Service Companies Focusing on The Case of Xiaomi

Jinle Liang,Min Jung Kang 한국인터넷방송통신학회 2021 International Journal of Internet, Broadcasting an Vol.13 No.1

In the background of the rapid development of the IoT, smart home work is becoming more and more important to each science and technology company. Smart home provides a safe, comfortable, high-quality, high-performance smart home living space compared to general homes, and at the same time It is responding to the low-carbon, eco-friendly global trend. Growth drivers driving the smart home market are increasing the number of Internet users, increasing disposable income in developing countries, increasing the importance of remote home monitoring, and increasing the need for energy saving and low carbon. In 2013-2014, Xiaomi launched a series of smart routers and smart home hardware devices. In 2015, it announced the latest product of the Xiaomi Ecological Chain, the “Smart Home Package,” and in 2016 launched the MIJIA brand to invest in various smart product companies. In 2017, Xiaomi announced a plan to build an open smart hardware MIOT platform. We investigated the management strategy of Xiaomi home smart service based on IOT. The management strategy was divided into cost lead strategy, differentiation strategy of Xiaomi home service, and AIOT strategy of Xiaomi smart home.

Genetic Variation and Evolution of the Pi9 Blast Resistance Locus in the AA Genome Oryza Species

Jinling Liu,Yajun Hu,Yuese Ning,Nan Jiang,Jun Wu,전종성,Yinghui Xiao,Xionglun Liu,Liangying Dai,Guo-Liang Wang 한국식물학회 2011 Journal of Plant Biology Vol.54 No.5

The rice nucleotide-binding site–leucine-rich repeat (NBS-LRR)-encoding resistance (R) gene Pi9 confers broad-spectrum resistance to the fungal pathogen Magnaporthe oryzae. The Pi9 locus comprises many NBS-LRR-like genes and is an ancient locus that is highly conserved in cultivated and wild rice species. To understand the genetic variation and molecular evolutionary mechanism of the Pi9 alleles in different rice species, we studied five AA genome Oryza species including two cultivated rice species (Oryza sativa and Oryza glaberrima) and three wild rice species (Oryza nivara, Oryza rufipogon, and Oryza barthii). A 2.9-kb fragment spanning the NBS-LRR core region of the Pi9 gene was amplified and sequenced from 40 accessions. Sequence comparison revealed that the Pi9 alleles had an intermediate-diversified nucleotide polymorphism among the AA genome Oryza species. Sequence variations were more abundant in the LRR region than in the NBS region, indicating that the LRR region has played a more important role for the evolution of the Pi9alleles. Furthermore, positive selection was found to be the main force promoting the divergence of the Pi9 alleles,especially in the LRR region. Our results reveal the characteristics and evolutionary dynamics of the Pi9 alleles among the two cultivated and three wild rice species.

The Main Mechanisms of Mesenchymal Stem Cell-Based Treatments against COVID-19

Li Jinling,He Shipei,Yang Hang,Zhang Lizeai,Xiao Jie,Liang Chaoyi,Liu Sijia 한국조직공학과 재생의학회 2024 조직공학과 재생의학 Vol.21 No.4

Background Coronavirus disease 2019 (COVID-19) has a clinical manifestation of hypoxic respiratory failure and acute respiratory distress syndrome. However, COVID-19 still lacks of effective clinical treatments so far. As a promising potential treatment against COVID-19, stem cell therapy raised recently and had attracted much attention. Here we review the mechanisms of mesenchymal stem cell-based treatments against COVID-19, and provide potential cues for the effective control of COVID-19 in the future. Methods Literature is obtained from databases PubMed and Web of Science. Key words were chosen for COVID- 19, acute respiratory syndrome coronavirus 2, mesenchymal stem cells, stem cell therapy, and therapeutic mechanism. Then we summarize and critically analyze the relevant articles retrieved. Results Mesenchymal stem cell therapy is a potential effective treatment against COVID-19. Its therapeutic efficacy is mainly reflected in reducing severe pulmonary inflammation, reducing lung injury, improving pulmonary function, protecting and repairing lung tissue of the patients. Possible therapeutic mechanisms might include immunoregulation, anti-inflammatory effect, tissue regeneration, anti-apoptosis effect, antiviral, and antibacterial effect, MSC - EVs, and so on. Conclusion Mesenchymal stem cells can effectively treat COVID-19 through immunoregulation, anti-inflammatory, tissue regeneration, anti-apoptosis, anti-virus and antibacterial, MSC - EVs, and other ways. Systematically elucidating the mechanisms of mesenchymal stem cell-based treatments for COVID-19 will provide novel insights into the follow-up research and development of new therapeutic strategies in next step. Background Coronavirus disease 2019 (COVID-19) has a clinical manifestation of hypoxic respiratory failure and acute respiratory distress syndrome. However, COVID-19 still lacks of effective clinical treatments so far. As a promising potential treatment against COVID-19, stem cell therapy raised recently and had attracted much attention. Here we review the mechanisms of mesenchymal stem cell-based treatments against COVID-19, and provide potential cues for the effective control of COVID-19 in the future. Methods Literature is obtained from databases PubMed and Web of Science. Key words were chosen for COVID- 19, acute respiratory syndrome coronavirus 2, mesenchymal stem cells, stem cell therapy, and therapeutic mechanism. Then we summarize and critically analyze the relevant articles retrieved. Results Mesenchymal stem cell therapy is a potential effective treatment against COVID-19. Its therapeutic efficacy is mainly reflected in reducing severe pulmonary inflammation, reducing lung injury, improving pulmonary function, protecting and repairing lung tissue of the patients. Possible therapeutic mechanisms might include immunoregulation, anti-inflammatory effect, tissue regeneration, anti-apoptosis effect, antiviral, and antibacterial effect, MSC - EVs, and so on. Conclusion Mesenchymal stem cells can effectively treat COVID-19 through immunoregulation, anti-inflammatory, tissue regeneration, anti-apoptosis, anti-virus and antibacterial, MSC - EVs, and other ways. Systematically elucidating the mechanisms of mesenchymal stem cell-based treatments for COVID-19 will provide novel insights into the follow-up research and development of new therapeutic strategies in next step.

Finite-time Asymmetric Bipartite Consensus for Signed Networks of Dynamic Agents

Xing Guo,Jinling Liang,Jianquan Lu 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.4

This paper addresses the finite-time asymmetric bipartite consensus problem for multi-agent systems(MAS) associated with signed graphs. Different from bipartite consensus in the previous literatures, asymmetricbipartite consensus means that the states of all agents will converge to two values with different signs and modulus. Two distinct nonlinear consensus control protocols are constructed for the considered system to achieve the finitetimeasymmetric bipartite consensus and the fixed-time asymmetric bipartite consensus, respectively. Under thefirst proposed protocol, it is shown that within a finite time, the considered system can realize asymmetric bipartiteconsensus. To strengthen the obtained result, the second protocol is proposed, which guarantees that all agentscould achieve the asymmetric bipartite consensus in fixed time, that is, the finite-time consensus can be reachedbefore a settling time which is irrelevant with the initial states of the agents. Finally, numerical simulations aregiven to verify effectiveness of the proposed consensus control protocols.

Highly catalysis Zinc MOF-loaded nanogold coupled with aptamer to assay trace carbendazim by SERS

Jingjing Li,Aihui Liang,Jinling Shi,Zhiliang Jiang Techno-Press 2023 Advances in nano research Vol.14 No.4

Zinc metal organic framework (MOF_Zn)-loaded goad nanoparticles (AuNPs) sol (Au@MOF_Zn), which was characterized by TEM, Mapping, FTIR, XRD, and molecular spectrum, was prepared conveniently by solvothermal method. The results indicated that Au@MOF_Zn had a very strong catalytic effect with the nanoreaction of AuNPs formation between sodium oxalate (SO) and HAuCl4. AuNPs in the new indicator reaction had a strong resonance Rayleigh scattering (RRS) signal at 370 nm. The indicator AuNPs generated by this reaction, which had the most intense surface enhanced Raman scattering (SERS) peak at 1621 cm -1. The new SERS/RRS indicator reaction in combination with specific aptamer (Apt) to fabricate a sensitive and selective Au@MOF_Zn catalytic amplification-aptamer SERS/RRS assay platform for carbendazim (CBZ), with SERS/RRS linear range of 0.025-0.5 ng/mL. The detection limit was 0.02 ng/mL. Similarly, this assay platform has been also utilized to detect oxytetracycline (OTC) and profenofos (PF).

A Survey on Filtering Issues for Two-Dimensional Systems: Advances and Challenges

Fan Wang,Zidong Wang,Jinling Liang,Jun Yang 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.3

In the past few decades, both theoretical developments and practical applications of the two-dimensional (2-D) systems have received considerable research interest due to their clear engineering insights in many industrial branches. In order to estimate the actual system states from available and possibly noisy measurements, various filtering strategies have been proposed in the existing literature which include, but are not limited to, Kalman filtering, variance- onstrained filtering, H∞ filtering, l2-l∞ filtering, l1 filtering, dissipative filtering, and protocol-based filtering approaches. In particular, the filtering issues of 2-D systems subjected to disturbances/noises from different sources have drawn much research attention. The intent of this survey is to not only provide a comprehensive review of the latest results but also bestow some in-depth insights on the future research with respect to the filter design problems for 2-D systems under various performance requirements. The fundamentals of the 2-D systems are first presented and the corresponding filtering techniques are introduced from the aspects of engineering insights and physical interpretations. Then, several well-known 2-D systems are recalled and discussed, and some other 2-D systems with more complicated dynamics are surveyed. Subsequently, the recent advances in designing appropriate 2-D filtering algorithms under specific filtering performance indices are reviewed. Finally, this paper is concluded with some possible future research topics outlined on the 2-D filtering schemes.

A Sampled-data Approach to Robust H∞ State Estimation for Genetic Regulatory Networks with Random Delays

Weilu Chen,Dongyan Chen,Jun Hu,Jinling Liang,Abdullah M. Dobaie 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.2

This paper is concerned with the robust H¥ state estimation problem for a class of uncertain genetic regulatory networks (GRNs) with random delays and external disturbances by using sample-data method. An important feature of this paper is that the time-varying delays are assumed to be random and their probability distributions are known a priori. By substituting the continuous measurements, the sampled measurements are used to estimate the concentrations of mRNAs and proteins. On the basis of the extended Wirtinger inequality, a discontinuous Lyapunov functional is introduced. Then, some sufficient conditions are derived in terms of a set of linear matrix inequalities (LMIs), which ensure that the error system is globally asymptotically stable in the meansquare sense and satisfies H∞ performance. Further, the explicit expression of the required estimator gain matrices is proposed. Finally, a numerical example is used to illustrate the effectiveness and feasibility of the obtained estimation method.