期刊：
Computers in Biology and Medicine,2024年176:108543 ISSN：0010-4825
通讯作者：
Rui Li
作者机构：
[Liu, Yan; Li, Rui; Li, Renfa; Fu, Xiangzheng; Gong, Yinyin] College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China;[Liu, Yan; Li, Renfa; Gong, Yinyin] Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, Hunan University, Changsha, 410082, China;[Li, Rui] Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, Hunan University, Changsha, 410082, China. Electronic address: rui@hnu.edu.cn;[Wang, Jilong] Peng Cheng Laboratory, Shenzhen, 518066, China;[Cao, Buwen] College of Information and Electronic Engineering, Hunan City University, Yiyang, 413002, China
通讯机构：
[Rui Li] C;College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China<&wdkj&>Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, Hunan University, Changsha, 410082, China
摘要：
Proteins play a vital role in various biological processes and achieve their functions through protein-protein interactions (PPIs). Thus, accurate identification of PPI sites is essential. Traditional biological methods for identifying PPIs are costly, labor-intensive, and time-consuming. The development of computational prediction methods for PPI sites offers promising alternatives. Most known deep learning (DL) methods employ layer-wise multi-scale CNNs to extract features from protein sequences. But, these methods usually neglect the spatial positions and hierarchical information embedded within protein sequences, which are actually crucial for PPI site prediction. In this paper, we propose MR2CPPIS, a novel sequence-based DL model that utilizes the multi-scale Res2Net with coordinate attention mechanism to exploit multi-scale features and enhance PPI site prediction capability. We leverage the multi-scale Res2Net to expand the receptive field for each network layer, thus capturing multi-scale information of protein sequences at a granular level. To further explore the local contextual features of each target residue, we employ a coordinate attention block to characterize the precise spatial position information, enabling the network to effectively extract long-range dependencies. We evaluate our MR2CPPIS on three public benchmark datasets (Dset 72, Dset 186, and PDBset 164), achieving state-of-the-art performance. The source codes are available at https://github.com/YyinGong/MR2CPPIS.
通讯机构：
[Buwen Cao; Renfa Li] C;College of Information and Electronic Engineering, Hunan City University, Yiyang 413000, China<&wdkj&>College of Computer Science and Electronic Engineering, Key Laboratory for Embedded and Cyber-Physical Systems, Hunan University, Changsha 410082, China<&wdkj&>College of Computer Science and Electronic Engineering, Key Laboratory for Embedded and Cyber-Physical Systems, Hunan University, Changsha 410082, China
期刊：
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING,2021年2021(1):1-19 ISSN：1687-1472
通讯作者：
Deng, Shuguang(cbwchj@126.com)
作者机构：
[Qin, Hua; Tan, Yue; Cao, Buwen; Deng, Shuguang] Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413000, Peoples R China.;[Qin, Hua; Tan, Yue; Cao, Buwen; Deng, Shuguang] Hunan City Univ, Key Lab City Comp & IoT, Yiyang 413000, Peoples R China.;[Qin, Hua; Tan, Yue; Cao, Buwen; Deng, Shuguang] Engn Res Ctr DongTing Lake Reg Ecol Environm Inte, Yiyang 413000, Peoples R China.
通讯机构：
[Shuguang Deng] C;College of Information and Electronic Engineering, Hunan City University, Yiyang, China<&wdkj&>Key Laboratory of City Computing and IoT, Hunan City University, Yiyang, China<&wdkj&>Engineering Research Center of DongTing Lake Regional Ecological Environment Intelligent Monitoring and Disaster Prevention and Mitigation, Yiyang, China
关键词：
Software defined sensor network;Cluster;Node mobility;Centralization
期刊：
Journal of Circuits, Systems and Computers,2021年30(16):2150301 ISSN：0218-1266
通讯作者：
Wangdong Yang
作者机构：
[Yang, Wangdong] College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, P. R. China;[Cao, Buwen; Zhou, Honglie; He, Chenjun] College of Information and Electronic Engineering, Hunan City University, Yiyang 413000, P. R. China;[Xiao, Sainan] College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, P. R. China<&wdkj&>College of Information and Electronic Engineering, Hunan City University, Yiyang 413000, P. R. China
通讯机构：
[Wangdong Yang] C;College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, P. R. China
关键词：
Color;Colorimetry;License plates (automobile);Quality control;Background objects;Effectiveness and efficiencies;License plate localizations;Localization performance;Projection analysis;Real world situations;Realtime processing;Variable illumination;Image enhancement
期刊：
E3S Web of Conferences,2021年251:02018-null ISSN：2555-0403
通讯作者：
Song, Y.
作者机构：
[He H.; Song Y.] Business School, Central South University, No.932 Lushan South Road, Changsha, China;[Cao B.] College of Information and Electronic Engineering, Hunan City University, No.518 Yingbin East Road, Yiyang, China
通讯机构：
[Song, Y.] B;Business School, No.932 Lushan South Road, China
会议名称：
2021 International Conference on Tourism, Economy and Environmental Sustainability, TEES 2021
期刊：
IEEE INTERNET OF THINGS JOURNAL,2020年7(3):2247-2262 ISSN：2327-4662
通讯作者：
Qin, Hua
作者机构：
[Qin, Hua; Xiao, Xiang; Cao, Buwen; He, Jianxin; Chen, Weihong] Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413000, Peoples R China.;[Peng, Yang] Univ Washington Bothell, Div Comp & Software Syst, Bothell, WA 98011 USA.
通讯机构：
[Qin, Hua] H;Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413000, Peoples R China.
关键词：
Cross interface;energy-efficiency;gateway;Internet of Things (IoT)
摘要：
Featured with high bandwidth, high reliability, and native IP compatibility, WiFi has been recommended for a wide range of Internet-of-Things (IoT) applications. However, WiFi is inherently energy-hungry and it may impose high energy consumption on not only IoT devices but also gateways. To reduce gateway's WiFi energy consumption, many energy-efficient solutions for WiFi tethering services can be applied. However, these solutions mainly target the energy optimization of downlink data traffic in WLANs, and they are not suitable for the uplink data traffic of delivering massive IoT data from device to gateway (D2G), which is more common in IoT. When a gateway is powered by batteries, the high energy consumption caused by D2G communications may deplete the gateway quickly and renders the whole system dysfunctional as a result. Toward achieving energy-efficient D2G communications, we propose an innovative Green IoT Gateway (GIG) scheme, which aims at minimizing gateway energy consumption while ensuring the specific delay requirements of devices via cross-interface collaboration. Through utilizing the coexisting low-power ZigBee radios, GIG dynamically schedules the wakeup behaviors of high-power WiFi radios for energy-efficient and delay-bounded D2G communications. GIG has been implemented and evaluated in a prototype system, and the experiment results show that, under the moderate uplink data traffic and delay requirements, the energy consumption of GIG is 38.5% and 12.7% lower than those of a state-of-the-art WiFi tethering scheme and a simple version of the GIG scheme, respectively. Moreover, a great reduction of energy consumption at the device side can also be observed.
期刊：
IPSJ Transactions on Bioinformatics,2019年12:1-8 ISSN：1882-6679
作者机构：
[Yang Y.; Song Y.] Department of Information Technology, Hunan Women's University, China;[Cao B.] College of Information and Electronic Engineering, Hunan City University, China
期刊：
IEEE INTERNET OF THINGS JOURNAL,2019年6(1):718-733 ISSN：2327-4662
通讯作者：
Qin, Hua
作者机构：
[Qin, Hua; Cao, Buwen; Zeng, Min; Chen, Weihong] Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413000, Peoples R China.;[Li, Jessica; Peng, Yang] Univ Washington, Div Comp & Software Syst, Bothell, WA 98011 USA.
通讯机构：
[Qin, Hua] H;Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413000, Peoples R China.
关键词：
Dual radio;energy efficiency;Internet of Things (IoT);pipeline
摘要：
The future Internet of Things (IoT) will enable Internet connectivity for a vast amount of battery-powered devices, which usually need to communicate with each other or to some remote gateways through multihop communications. Although ZigBee has become a widely used communication technology in IoT, Wi-Fi, on the other hand, has its unique advantages such as high throughput and native IP compatibility, despite its potentially higher energy consumption. With the development of IoT, more and more IoT devices are equipped with multiple radio interfaces, such as both Wi-Fi and ZigBee. Inspired by this, we propose a dual-interface dual-pipeline scheduling (DIPS) scheme, which leverages an activation pipeline mainly constructed by low-power ZigBee interfaces to wake up a data pipeline constructed by high-power Wi-Fi interfaces on demand, toward enabling multihop data delivery in IoT. The objective is to minimize network energy consumption while satisfying certain end-to-end delay requirements. Extensive simulations and prototype-based experiments have been conducted. The results show that the energy consumption of DIPS is 96.5% and 92.8% lower than that of the IEEE 802.11's standard power saving scheme and a state-of-the-art pipeline-based scheme in moderate traffic scenarios, respectively.
