• The rapid development of biomaterials and biotechnology has provided important means for revealing life phenomena and life processes, which is the basis for tissue and organ regeneration and reconstruction, and so is the catalyst for a second life. This special issue “Development and Exploration of Biomaterials in Shenzhen” has published wonderful reports and extended content of the 2021 Shenzhen Biomedical Materials Annual Conference, so that the readers who were unable to attend due to the COVID-19 epidemic could also take a glimpse of this annual conference via the special issue. [MORE]
  • The ocean plays an important role in the future development. The Shenzhen Institute of Advanced Technology(SIAT), Chinese Academy of Sciences has deeply involved in the field of marine science. This special issue introduces recent research of SIAT’s team, covering marine engineering technology, underwater acoustic technology, underwater wireless transmission technology, marine biochemical sensing technology and seawater desalination technology, etc. In addition, low-power marine instrument recovery communication beacons developed by Professor Yang Ting’s team [MORE]
  • Advanced electronic material is one of the three main elements of integrated circuit and is the foundation and support of electronic information industry. Trade frictions occurred in recent years fully illustrate the strategic importance of materials, especially electronic materials used in integrated circuit industry. In this context, we specially invited Professor Rong Sun, director of the Shenzhen Institute of Advanced Electronic Materials, as the guest editor to organize the special issue focused on high-end electronic packaging materials for integrated circuit [MORE]
  • In recent years, the Chinese government has provided strong support for new energy vehicles and intelligent connected vehicles in terms of scientific and technological research, industrial development, application demonstration, and market promotion. Interestingly, China has become one of the most active countries in the field of new energy vehicles. Although the new energy vehicle industry has shown a good momentum in China, it has to overcome core technological barriers. [MORE]
  • With the rise of 5G communication, Internet of Things, new energy automotive electronics, wearable devices, and smart cities, affiliated electronic devices are developing towards the directions of miniaturization, high-power density, and multi-functionality. This will continue to increase the risk of overheating with related electronic devices. The development of high-performance thermal management materials is crucial to improve the heat dissipation of electronic devices, and it has become the biggest challenge faced by academia and application industry in electronic devices. [MORE]
  • Recently, with the maturity and popularization of technologies such as Internet of Things, cloud computing, mobile internet, and Internet of Vehicles, massive data in various formats like images, audiovisual materials, and health files are rapidly generated. The International Data Corporation (IDC) predicted that global data volume would reach 175 ZB (approximately 175 billion TB) by 2025, which indicated that more than 99% of all data in human civilization were generated in recent years. [MORE]
  • This special issue majorly reports the research exploration made by the key members from Guangdong Innovation Team of Advanced Functional Film Materials and Industrial Applications, which includes the analysis and discussion of preparation methods and growth mechanism of high-preferred orientation diamond film and high-quality single crystal diamond, the research of diamond film in cemented carbide tools, the latest research progress on film thermal expansion coefficient and residual stress testing technology. [MORE]
  • Big data is leading a new round of technological innovation, and it has brought new impetus and opportunities for the transformation and upgrading of social economy and the enhancement of national competitiveness. Therefore, many countries have proposed initiatives to develop big data. In recent years, big data has triggered extensive studies in a variety of disciplines and brought changes in terms of technology, model and ideology to different industries. The special issue was organized around big data platforms and supporting technologies, and big data applications, security and privacy [MORE]
  • Intelligent connected vehicles are equipped with advanced on-board sensors, controllers, actuators and other devices, and integrate modern communication and network technologies to realize information sharing between vehicles, roads, people, and clouds to achieve "safe, efficient, comfortable and energy-saving" driving. Although the industry shows a positive trend of comprehensive development, it is facing several technical adjustments on core technology level, including bicycle perception and decision-making, vehicle-road cooperation, human-machine co-driving [MORE]
Journal of Integration Technology (CN 44-1691/T, ISSN 2095-3135) was officially launched in May 2012 with the approval of the National Press and Publication Administration of China. The journal is supervised by the Chinese Academy of Sciences and sponsored by Shenzhen Institute of Advanced Technology(SIAT) alongside Science Press, the journal's publisher. Journal of Integration Technology is a peer-reviewed open-access journal published bi-monthly. It focuses on high quality works from multidisciplinary fields that involve integration(e.g.information technology, biotechnology, and other multidisciplinary integration), which includes but not limited to the following four areas: big data and smart city [MORE]
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    Volume 10, No. 5 | 2021
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    • LU Xiaoxu, DENG Tian, ZHANG Pengchao, ZHANG Guizhong, WAN Xiaochun

      2021,10(5):1-11, DOI: doi: 10.12146/j.issn.2095-3135.20210304001


      TLR4 is an important pattern recognition receptor that plays important roles in innate immunity against infections. CD317 is a type Ⅱ transmembrane glycoprotein with unique structure that endows it viral tethering and signaling potential. However, it is not clear yet whether CD317 regulates TLR4-mediated signal transduction. Herein, we investigated the role of CD317 on TLR4 signal transduction by using primary peritoneal macrophages derived from CD317 knockout mice and THP-1-derived human macrophages, and found that the expression of CD317 could be induced by TLR4 agonist (Lipopolysaccharide), which, in a feedback loop, further enhanced the TLR4-mediated NF-κB activation and subsequent release of pro inflammatory cytokines (TNF-α, IL-1β and IL-6, etc.). CD317 knockdown or knockout markedly impaired the TLR4 signal transduction and cytokine production. By using co-immunoprecipitation, we found that CD317 could interact with both MyD88 and TRAF6, suggesting that CD317 probably enhanced the TLR- 4-mediated NF-κB activation through MyD88-TRAF6 signal transduction pathway. Conclusively, our study not only extends the understanding on the role of CD317 in innate immune regulation, but also provides new targets and theoretical guidance for the development of effective strategies for related diseases.

    • WEI Mengxia, JI Shuqin, LI Zijie, LIN Ziyi, MONTARDY Quentin, WANG Liping, LI Lei

      2021,10(5):12-22, DOI: doi: 10.12146/j.issn.2095-3135.20210324001


      Vestibular nuclei (VN) is a sensorimotor structure controlling posture and balance. The anatomy and function of VN is closely related to diseases, such as motion sickness, vestibular migraine, vertigo, postural deficits, and Parkinson’s disease. It has been known that stress imposes effects on the function of VN and the progress of these diseases. Since the locus coeruleus-norepinephrine (LC-NE) system is activated by stress, it would be interesting to know whether there is a connection between LC and VN and its possible function. The experiment results showed that LC neurons project to the VN and they are tyrosine hydroxylase (TH)-positive. After subjected to sleep deprivation stress treatment, the mice showed higher cFos activation in the LC-NE neurons compared with the untreated control group, suggesting the important role LC-NE may play in stress-related VN malfunction. This study provides anatomical basis for further neural circuity studies of LC-VN in balance and then its possible involvement in diseases.

    • XIA Ding, WANG Yali, QIAO Yu

      2021,10(5):23-33, DOI: doi: 10.12146/j.issn.2095-3135.20210308001


      High-level action information, such as spatial feature of frames, temporal feature among frames, or human level skeleton features are usually used in existing video action recognition methods. However, these high-level features cannot effectively describe the action composition of human behavior, and thus reduce the ability of deep learning models to recognize confusing behaviors. In this work, video action recognition method based on human body parts is investigated. By learning the action representation of the fine-grained parts of the human body, the video representation of human action was learned from bottom to up level. Specifically, the method mainly includes three modules: (1) body part feature enhancement module, which enhances the image-based human body part feature, (2) body part feature fusion module, which fuses the features of various parts of the human body to form human feature, and (3) body feature enhancement module, which is responsible for enhancing the human body features of all people in the video. The popular datasets of UCF101 and HMDB51 were used for experiments. And the results showed that, the video action recognition method based on human body parts is complementary with current methods, and can effectively improve the accuracy of human action recognition.

    • WANG Hongren, CHEN Shifeng

      2021,10(5):34-42, DOI: doi: 10.12146/j.issn.2095-3135.20210315001


      Convolutional neural network is widely used in the field of object detection. In this paper, a novel anchor-free two-stage object detection algorithm is investigated. Region proposals are produced via corner points extracted based on CornerNet. In order to improve the inception ability to the internal information of the object, central pooling is introduced in the algorithm to enhance the features of interal regions for internal feature point detection. A large number of false-positive proposals can be filtered out by checking whether the internal key points exist in the internal area. The remaining proposals are fed into a multivariate classifier to obtain the final result. The proposed algorithm has been tested on the data set of

    • LI Min, LIN Zijie, LIAO Wenbin, CHEN Tingbo, LI Jianqiang, CHEN Jie, XIAO Minfeng

      2021,10(5):43-56, DOI:


      Living systems are extremely sophisticated and difficult to accurately describe and predict, posing challenges in designing synthetic biological systems. Therefore, massively parallel trial-and-error processes are often required to optimize synthetic biological systems. In recent years, intelligent technology has experienced rapid development and has demonstrated continual learning capacity from massive data and intelligent exploring ability in unknown space, which perfectly meets the needs of the current trial-and error platform of synthetic biology engineering and shows great potential in mining complex biological patterns and in designing biosystems. This article reviews the progresses of applying artificial intelligence (AI) in the fields of synthetic biological parts engineering, circuit engineering, metabolic engineering, and genome engineering. This article also analyzes a series of challenges in data standardization, platform intellectualization, experimental automation, and accurate prediction of cross-over studies between AI and synthetic biology. By solving these challenges, the entire workflow of “design-build-test-learn” in synthetic biology is expected to be revolutionized by AI, and creating an “AI synthetic biologist” would in turn lead to the technological advances in AI.

    • FU Xiongfei, HUANG Xiongliang, XIA Lin

      2021,10(5):57-66, DOI: doi: 10.12146/j.issn.2095-3135.20210427013


      Population of cells, growing under constant conditions, is a mixture of cells at different stages of the cell cycle. To study specific stage of the cell cycle, synchronization methods are required to make cells grow synchronously. Physical or chemical methods can be used to isolate subpopulation of cells at distinct cell cycle stages or to block cells at certain stage. Via synchronization methods, cell population can grow and divide synchronously during the subsequent culture and maintain 2-3 cycles. As a direct and powerful method, cell cycle synchronization attracts great interests of scientists in the field of bacterial cell cycle researches. Although there are many kinds of synchronization methods, different methods have their own advantages and disadvantages in terms of the degree of synchronization, yield, ease of operation steps, and the degree of interference to the cell cycle. This paper aims to introduce the cell cycle synchronization methods used in the bacterial cell cycle studies and what advantages or disadvantages they have.

    • WANG Zhong, CUI Jinming, TOKUYASU Taku Andrew

      2021,10(5):67-71, DOI: doi: 10.12146/j.issn.2095-3135.20210427006


      Electroporation technology can penetrate the cell membrane by reversibly applying a certain electric field, forming holes or pathways in the cell membrane, so that the genetic material can be transferred into the cell. Traditional electroporation devices often require several hundred to several thousand volts and are very dangerous to operate. In this study, an electrically insulated polyvinyl chloride (PVC) film was used to make a small distance electroporation device with the electrodes’ distance of 80 μm, which can undertake high flux operation. The experiments show that the proposed small distance electroporation device facilitates cell electroporation with the voltage one order of magnitude lower than the 1 mm standard shock cup, greatly enhance the safety of the experimental operation, high flux also greatly improves the efficiency of experimental operation. But the electroporation efficiency is one order of magnitude lower, and experimental parameters need to be further optimized.

    • HUANG Zucheng, SHEN Mengyuan, HOU Zhicheng, TOKUYASU Taku Andrew, MENG Hailin

      2021,10(5):72-79, DOI: doi: 10.12146/j.issn.2095-3135.20210427005


      To find possible reactions that exist in metabolic networks is essential for metabolic engineering. The K-shortest path (KSP) algorithm is a traditional method that is usually used to identify alternative metabolic pathways. To improve the computation efficiency of conventional KSP method, an efficient KSP-based searching method is proposed in this paper. The basic idea is to introduce the critical edge to reduce the redundant calculation. A web-platform is constructed to design metabolic pathways. The parallel computing technique is introduced to improve the computing efficiency. The proposed method is validated on the KEGG metabolic pathways map, and the results show that the proposed method improve the computation efficiency by 5-9 times, compared with the traditional KSP algorithm.

    • JIANG Xianger, WANG Yong, SHEN Yue

      2021,10(5):80-95, DOI: doi: 10.12146/j.issn.2095-3135.20210427002


      Comparing with genome sequencing, which facilitates the digitization of life, synthetic biology has enabled human beings to explore the nature of life and promote the cross-disciplinary applications in medicine, chemical industry, agriculture and IT technologies. Since DNA synthesis serves as the fundamental technology of synthetic biology. This paper makes a systematic review of DNA synthesis technology and its instrumental development. In addition, the current technical bottlenecks and potential approaches for breaking through are also discussed.

    • LIU Yaming, WANG Kang, CUI Yulin, CHEN Gao, QIN Song

      2021,10(5):96-103, DOI: doi: 10.12146/j.issn.2095-3135.20210427015


      The β-carotene ketolase gene (bkt) and β-carotene hydroxylase gene (crtR-B) from Haematococcus pluvialis were codon-optimized and transferred to Synechocystis sp. PCC 6803 genome by natural transformation method. High performance liquid chromatography analysis showed that cells transfected with bkt gene produced canthaxanthin, while echinone decreased; the cells with crtR-B gene produced adonixanthin, while zeaxanthin was reduced. The results showed that the exogenous β-carotene ketolase converted echinone to canthaxanthin and the exogenous β-carotene hydroxylase converted zeaxanthin into adonixanthin. In this paper, the pathway of astaxanthin biosynthesis in Synechocystis sp. PCC 6803 was constructed by metabolic engineering strategy, which laid a foundation for astaxanthin production in Synechocystis sp. PCC 6803 with metabolic engineering.

    • ZENG Zhengyang, LIU Xinyu, MA Mingju, AN Yishuo, ZHANG Yihao, LUO Wei, XIA Lin

      2021,10(5):104-116, DOI: doi: 10.12146/j.issn.2095-3135.20210511001


      As a multidisciplinary approach, synthetic biology has been developing for almost two decades. It involves almost all fields of biological research, combines the modules of engineering and abstract concepts, introduces new quantitative research methods, and improves people’s understanding of life system. Unlike traditional basic science or single technology, the complexity of synthetic biology significantly increases people’s capacity to apply biology and distribute it among different applications. At present, synthetic biology has made remarkable achievements in the development of enable technology, the establishment of synthetic biology platform, and the application in medical treatment, agriculture and food, and bio-based goods, promoting the development of the blue ocean market. Based on the concept of synthetic biology, numerous companies have emerged in many industrial areas recently. Some startups have thrived, and dominant companies have commercialized the technology through cost advantages. Based on this, the paper briefly introduces and analyzes the development of the synthetic biology industry, combining enterprise type, technology platform and financing conditions to provide reference for the development of technology, industry and investment in synthetic biology.

    • QIU Weilong, LIAO Xiuling, LUO Wei, LI Hang, XIA Lin, ZHANG Lan

      2021,10(5):117-127, DOI: doi: 10.12146/j.issn.2095-3135.20210427009


      Synthetic biology is experiencing rapid growth and commercialization in the second decade of the 21st century, after an earlier groundbreaking technological innovation and initial exploration of commercialization. This paper combs and analyzes the current situation of global synthetic biology industry from three aspects: market scale, industry financing and industry development. The analysis shows, in terms of market scale, the synthetic biology market is growing rapidly, but there is an obvious gap in its scale in different geographical regions and industrial fields; in terms of industry financing, the investment and financing trend of synthetic biology industry shows an obvious upward trend. In 2020, the number and amount of investment and financing events in synthetic biology industry reached a historical record, but the development between different geographical regions is still unbalanced; in terms of industry development, the landing application scenarios of synthetic biology are very diverse, have taken root in all walks of life, and show great application potential.

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    The "In Press" section displays the articles officially accepted after peer review. These articles are currently under copyediting process without volume/issue information, but are citable according to their Digital Object Identifiers(DOI).

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      • XIONG Gang,MENG Jiao,CAO Zi-gang,WANG Yong,GUO Li,FANG Bin-xing

        2012,1(1):32-42, Doi:


        Nowadays, with the rapid development of the Internet, more and more new applications appear gradually, the scale of network expand constantly, and the architecture of network is more and more complicated. As one of the basic technologies for enhancing network controllability, traffic classification can not only provide better QoS for ISPs, but also supervise and manage network effectively, which can ensure the security of the Internet. In this paper we review the research methods and achievements in the field of traffic classification, compare these traditional methods, and point out their advantages and disadvantages. On the other hand, for the real challenges of real-time classification of high-speed network environment, encrypted traffic classification, fine-grained traffic classification, and dynamically changed protocols classification, we describe and analyze the related research progress. Finally, we look ahead the future research direction.

      • SONG Zhang-jun

        2012,1(3):1-9, Doi:


        The technology of the robot represents a national high-tech level and the degree of automation. It is helpful to develop the industry of service robots in China if we know the current situation and development trend of service robots research clearly. Recently, robotic cleaners and educational robots have been in great demand. Entertainment robots and surveillance robots are developed rapidly and the market expands quickly. Medical robots begin to enter the modern life and have played an important role in the modern surgery. To satisfy the great market and shorten the distance between China and developed countries, it is necessary to capture the development trend of the technology of service robots. R&D on service robots should focus on the integrated technologies on intelligence, modularization and network.

      • ZHANG Wen-li

        2012,1(3):20-24, Doi:


        Gene is the genetic material basis. All life phenomena, like disease and death, are related to Gene. Gene sequencing is a way to read life. With the development of new generation high-throughput sequencing technology, TB or more sequence data will be generated daily. It’s more difficult to interpret these big and complex data than to acquire them. Sequence data interpretation is a critical step in current biological research and has great practical significance. It’s a great challenge for current computer systems and computing models to store, process and analysis massive high throughput sequence data. With survey, especially from BGI (Beijing Genome Institute), the current status, problems and measures taken to process high throughput sequence data will be discussed. However, the challenge is too big to be solved unless more people in different fields work together in depth for a long term.

      • LIU Qun

        2012,1(1):48-54, Doi:


        This paper gives a comprehensive introduction to the status of current machine translation research and technology, and analyzes the key problems to be resolved. Finally our idea of the future trends and prospects of machine translation are put forward.

      • XU Guo-qing,XU Kun,LI Wei-min

        2012,1(1):6-14, Doi:


        With the increasing concerns of global warming and resource constraints, electric vehicles (EVs) have made great progress during the past decade. The electric driving system of EVs has dinstinct advantages, such as quick response, easy measurement , and precise control of motor torque, available flexible driving architecture, and regenerative braking, etc. Such advantages can be used to improve the performance of vehicle dynamic control. This paper presents the recent research efforts on electric vehicle dynamic control in terms of parameters estimation and dyanmic control scheme and methodology, especially focusing on the tire-road friction estimaion , novel traction control methods. The lateral dynamic control including the electrical differential control, direct yaw moment control, and the integratin chassis cotrol is proposed. Several prospects for vehicle dynamic control are proposed.

      • SHEN Yang,LING Tao,YAO Hui,LI Yan-ming,JIN Qiao-feng,ZHENG Hai-rong

        2012,1(1):93-99, Doi:


        For the advantages of noninvasive, real-time and quantitative detection, ultrasonic transient elastography has important clinical application value. This work investigates the transient elastography in a few ways and aims to design a transient imaging system. The Displacement tracking algorithm based on correlation techniques and the parabolic interpolation algorithm is proposed to improve the accuracy. A novel match filter is designed to convolute with the estimated displacement in the time direction to boost the SNR of the displacement for a better strain image mapping. The convoluted result shows the match filter can significantly improve the strain image quality and help getting more accurate Youngs modulus estimation. The Time Gain Compensation (TGC) circuit is designed to compensate the attenuated power of the ultrasound signal. And a modified polyacrylamide gel based tissue-mimicking phantom is also developed in this paper, both indentation testing and transient elastography are used to characterize the elastic properties of this phantom. The results are almost consistent with each other.

      • HU Chao,SONG Shuang,YANG Wan-an,MENG Qing-hu,LI Bao-pu,ZENG De-wen,LI Xiao-xiao,ZHU Hong-mei

        2012,1(1):105-113, Doi:


        Wireless Capsule Endoscope (WCE) is a very promising tool for the examination of the gastrointestinal (GI) tract. However, there are some problems to be solved for the existed WCE, and one key problem is the accurate localization and tracking of the WCE. Among the possible localization methods, the magnet-based localization technique has its advantages: no need for power, not much space occupation, continuously tracking ability, and no negative effect. In this paper, we present the localization method for the magnet objective inside the WCE based on the magnetic sensor array outside the human body. Through the algorithm and system design we realize real time tracking of 3D position and 2D orientation of the magnet based on the magnetic dipole model. In order to overcome the interference of the human body movement, we propose the multi-magnets’ localization method; also, the 3D positioning and 3D orientation method is proposed, which can be used to make the 3D recovery of the GI tract and the accurate computation of the physiological tissue parameters. The real experiments show that the proposed localization system can run well and obtain the accuracy with 2~3mm for the magnet.

      • GAO Ming,HUANG Zhe-xue

        2012,1(3):47-54, Doi:


        With the rapid increase in numbers and scales of deep web sites on the Internet, search for data or information from deep web sites by submiting queries to and obtaining results from the backend databases has become a major means in information retrieval from the Web. This area has attracted many researchers to devote their efforts on development of technologies to make better use of information in th deep web. One challenge is searching for and integration of data from various databases in deep web. Since deep web is dominated by text data, research and development of technologies for text information retrieval from deep web have a broad application potential. In this paper, we review the state-of-the-art of deep web research in details and propose some future research directions.

      • LUO Li,YANG Chao,ZHAO Yu-bo,CAI Xiao-chuan

        2012,1(1):84-88, Doi:


        Several of the top ranked supercomputers are based on the hybrid architecture consisting of a large number of CPUs and GPUs. High performance has been obtained for problems with special structures, such as FFT-based imaging processing or N-body based particle calculations. However, for the class of problems described by partial differential equations (PDEs) discretized by finite difference (or other mesh based methods such as finite element) methods, obtaining even reasonably good performance on a CPU/GPU cluster is still a challenge. In this paper, we propose and test an hybrid algorithm which matches the architecture of the cluster. The scalability of the approach is implemented by a domain decomposition method, and the GPU performance is realized by using a smoothed aggregation based algebraic multigrid method. Incomplete factorization, which performs beautifully on CPU but poorly on GPU, is completely avoided in the approach. Numerical experiments are carried out by using up to 32 CPU/GPUs for solving PDE problems discretized by FDM with up to 32 millions unknowns.

      • MA Xiao-yan,HONG Jue

        2012,1(3):66-71, Doi:


        Hadoop job schedulers typically use a single resource abstraction and resources are allocated at the level of fixed-size partition of the nodes, called slots. These job schedulers ignore the different demands of jobs and fair allocation of multiple types of resources, leading to poor performance in throughput and average job completion time. This paper studies and implements a Muti-resource Fair Scheduler (MFS) in Hadoop. MFS adopts the idea of Dominant Resource Fairness (DRF). It uses a demand vector to describe demands for resources of a job and allocates resources to the job according to the demand vector. MFS uses resources more efficiently and satisfies multiple jobs with heterogeneous demands for resources. Experiment results show that MFS has higher throughput and shorter average job completion time compared to Hadoop slot-based Fair Scheduler and Capacity Scheduler.

      • ZHANG Hao-shi,WU Zhen-xing,TIAN Lan,YANG Lin,LI Guang-lin

        2012,1(1):114-118, Doi:


        Effectively reducing power line interference is always an important issue in electromyography (EMG) signal recordings and analysis. In this study, four commonly used de-noising methods, including digital notch, LMS based adaptive filter, Kalman filter and S transform, which may be suitable for the reduction of power line interference in real-time EMG recordings, were chosen and their performance in reducing the power line interference from EMG signal recordings were quantitatively analyzed and compared. The pilot results of this study showed that Kalman filter presented the best whole performance in attenuating power line interference from EMG signals and S transform de-noising method illustrated the best performance when the power line interference was severe.

      • XIA Wei,LI Huiyun

        2017,6(3):29-40, Doi:


        Automatic drive is an important application field of artificial intelligence. In this paper, a novel training strategy for self-driving vehicles was investigated based on the deep reinforcement learning model. The proposed method involves a Q-learning algorithm with filtered experience replay and pre-training with experiences from professional drivers, which accelerates the training process due to reduced exploration spaces. By resampling the input state after clustering, generalization ability of the strategy can be improved due to the individual and independent distribution of the samples. Experimental results show that, in comparison with conventional neural fitted Q-iteration algorithm, the training efficiency and controlling stability can be improved more than 90% and 30% respectively by the proposed approach. Experimental results with more complex testing tracks show that, average travel distance can be improved more than 70% in comparison with the Q-learning algorithm by the proposed method.

      • CHI Xue-bin,XIAO Hai-li,WANG Xiao-ning,CAO Rong-qiang,LU Sha-sha,ZHANG Hong-hai

        2012,1(1):68-76, Doi:


        This paper introduces the scientific computing grid, ScGrid, and it’s middleware SCE. ScGrid is built as one virtual supercomputer, integrating computing resource from more than 30 institutes. It provides unified,?easy to use and reliable scientific computing services. SCE is a lightweight grid middleware, which supports global job scheduling and unified data view. It provides multiple user interfaces including command line, grid portal and APIs. At present, ScGrid has been very successfully used in Chinese Academy of Sciences and widely accepted by more than 200 users.

      • XU Zhi-wei,LI Guo-jie

        2012,1(1):20-25, Doi:


        Thirty years ago, the invention and volume shipment of IBM PC significantly enlarged the user population of computing. For the next thirty years, what is the most fundamental challenge of the computing field? What paradigm shift is needed? What is the most significant industrial problem? What are the most needed scientific breakthroughs? This article addresses these questions by discussing a dozen essential issues of computing for the masses. The most fundamental challenge is the computing market’s growth stagnation. Computing for the masses is proposed to reverse this trend and should be a fundamental future direction. It has three features of value-augmenting, affordability, and sustainability. The most basic paradigm shift is human-cyber-physical ternary computing. The most significant industrial problem is the Insecta Classis paradox. Computing for the masses needs five pillars of science support, including ternary computing science, universal compute account, efficient sea-network-cloud computing platforms, information ecosystem science, and national information accounts. This article helps outline the problem space for future computer science research, with a discussion on related transformative research projects.

      • WU Zhen,ZHOU Hui,LI Guang-lin

        2013,2(4):56-60, Doi:


        Foot drop is the inability to voluntarily dorsiflex the ankle during the swing phase of gait and is usually caused by weakness and damages of the peroneal nerve. The consequences of the foot drop include the decreasing of gait quality, the limiting of mobility, the increasing of falling risk, and great increasing of energy expenditure during walking. Firstly biosignal sensors are used in the drop foot stimulator to detect foot movements. Then the surface drop foot stimulator produces a predefined stimulation profile to the peroneal nerve or tibialis anterial to elicit a dorsiflexion of the foot synchronized with the swing phase of gait to lift the foot. This paper reviewed the fundamentals and current researches of drop foot stimulators. Moreover, the development trends of the closed loop drop foot stimulator were also discussed in the paper.

      • XU Tian-chen,WU En-hua

        2012,1(1):77-83, Doi:


        In the past work for long time, since the computation required on object deformation and interaction is intensive, when fluid is interacted with rigid bodies, or especially with animating figure, the demand of real-time simulation and rendering could be hardly achieved. This paper presents a novel approach for generating effects simulated by fluid dynamics and interacted by the figure motions. In order to handle the interaction between fluid effect and deformed figure, firstly, the motion trajectory of character is tracked, and then the fluid dynamics is simulated by the model of Smoothed-Particle Hydrodynamics (SPH). Moreover, during the fluid simulation, an efficient algorithm for particle searching is also proposed, in virtue of parallel processing by GPU. Consequently, the simulation of 3D fluid effects with realistic character interaction can be rendered on a consumer-level PC in real-time.

      • WANG Hui

        2013,2(4):49-55, Doi:


        Transcranial magnetic stimulation (TMS) is a non-invasive technique that can be used for brain studying and clinical therapy. Firstly, the technology feature and application of the TMS instrument were introduced. Then several TMS coil positioning methods were evaluated and several key problems about TMS coil positioning were discussed. The aim of this study was to propose a new method for TMS coil positioning. The new method combines three aspects of quantitative information including the brain scalp, brain anatomy and brain function and has great advantages and broad application prospects.

      • ZHU Peng-li,SUN Rong,WONG Ching-ping

        2012,1(3):35-41, Doi:


        Nanomaterials and nanotechnology play more and more important role in the field of new generation electronics packaging. The unique electrical, magnetic and optical properties of the nanomaterials along with their composites can enhance and improve the physical and mechanical properties of the components. Current issues of electronic packaging, especially those related to materials, are introduced and evaluated in this review. The nanomaterials, nanocomposites and nanotechnology have advantages in solving these issues and their future development direction. This review also focuses on the application of new materials such as, conductive metal particles, silica, carbon nanotubes, graphene, etc. in the high density system level packages.

      • ZHAO Wen-chuang,CHENG Jun

        2012,1(3):10-14, Doi:


        Human action recognition acts as an important role in human machine interaction. This paper proposes a human body recognition method from depth image based on part size and position features. Random forest classifiers are trained with different parameters. Experimental results demonstrate the feasibility of proposed approach. Recognition accuracy is about 91% and the computation time is about 0.96 us per pixel.

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      • LIU Qun

        2012,1(1):48-54, Doi:


        This paper gives a comprehensive introduction to the status of current machine translation research and technology, and analyzes the key problems to be resolved. Finally our idea of the future trends and prospects of machine translation are put forward.

        • 1
      • HUI Chang-ye,ZHANG Xi,HUANG Sheng-he

        2012,1(3):28-34, Doi:


        Defibrotide is a polydisperse oligonucleotide with multiple effects on endothelial cells, which has been developed for the treatment of different vascular disorders. Defibrotide has been used effectively in the treatment and prophylaxis of hepatic veno-occlusive disease. Recent animal models have clearly suggested an antiangiogenic effect and an anticancer activity. Further in vitro and in vivo investigations are needed.

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      • YU Xinjie,WU Xiongfei,Wang Jianping,CHEN Li,WANG Lei

        2012,3(5):45-51, Doi:


        Morphological parameter measurement of Pseudosciaena Crocea plays an important role in its genetic selection and quality improvement. In this paper, an automatic detecting system which can measure the Pseudosciaena Crocea morphological parameters such as weight, length and body width was developed based on the machine vision and weighing sensor technology. The system can automatically detect the external morphology parameters by the machine vision, and get weight parameters through the weighing sensor. The mean errors of dimensional measurement and weighting are 0.28% and 0.74% respectively, which shows that the developed system can completely meet the requirements of morphological parameter measurement for Pseudosciaena Crocea. It is a new effective method to the automatic detection of fish morphology parameters.

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      • ZENG Xiaoliang,SUN Rong,YU Shuhui,XU Jianbin,WONG Chingping

        2012,3(6):76-83, Doi:


        The main functions of substrates in electronic packaging include supporting, cooling, protection of semiconductor chips, as well as insulation and electronic interconnection with external chips. With the electronic packaging developing towards high speed, multi-functionalization, high performance, good stability and small dimension, substrates play more and more important role in the field of new generation electronics packaging. Scientists and engineers have higher requirement to substrate materials, which advances their brilliant progress. In this review, the characteristic, recent progress and future development of three kinds of substrates were summerized, including ceramic, composite and organic substrates.

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      • LIU Hengwei,LI Jianjun,XIE Xiaoyi,FANG Mou,WANG Li,HE Xiangming,OUYANG Minggao,LI Maogang

        2012,4(1):51-59, Doi:


        In this work the thermal behavior of the LiNi1/3Co1/3Mn1/3O2 cathode material for soft packed lithium-ion power batteries during charging and discharging at different C-rate were conducted using the ARC (accelerating rate calorimeter) to provide an adiabatic environment. The overall heat generated by the lithium-ion battery during use, is partly reversible and partly irreversible, due to entropy change and joule heating, respectively. It indicates that the heating generation of lithium-ion cell is decided by the C-rate of charge and discharge. The heat is smaller at low C-rate of charge and discharge. For example, the heating generation of battery increases 7.16℃ at 0.2C-rate and the entropy change heat is clearly embodied. The joule heating is more remarkable than the entropy change during charging and discharging at high C-rate. For instance, the heating generation of cell increased 25.63℃ at 1C-rate. The heat generation of charge is less than discharge at the same C-rate. The DC inter insistence of cell at the SOC (State of Charge) of 0 to 10% increases suddenly, so the heating generation power will reach its maximum in this period during discharge. It is valuable for the design of heat dissipation in lithium-ion battery thermal management.

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