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Bing Liu

Bio: Bing Liu is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Glowworm swarm optimization & Thermal conductivity measurement. The author has an hindex of 1, co-authored 4 publications receiving 5 citations.

Papers
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Proceedings ArticleDOI
20 May 2019
TL;DR: A digital thermal conductivity measurement system specially designed for teaching based on the thermal pulse method of unsteady measurement, STM32 is used as the control unit, and the temperature of the specimen is measured by T-type thermocouple.
Abstract: The measurement of thermal conductivity for thermal insulation materials is an important basic experiment in the process of thermal physical teaching in colleges and universities. However, the measurement instruments sold on the market are often expensive and complicated, and cannot be used for teaching. Thus, this paper developed a digital thermal conductivity measurement system specially designed for teaching. Based on the thermal pulse method of unsteady measurement, STM32 is used as the control unit, and the temperature of the specimen is measured by T-type thermocouple. The entire measurement process is controlled by the program with data storage management and display functions, a good human-computer interaction interface. At the same time, the data can be processed and calculated combined with the host computer program. The test, calibration and functional verification results of the instrument show that the instrument performs stably and meets the general teaching requirements. Instrument operation is simple and quick. And the instrument is low cost and easy to manufacture.

3 citations

Proceedings ArticleDOI
21 Jul 2014
TL;DR: Simulation results show that the improve GSO (IGSO) algorithm has such characteristics as high precision and time saving by comparing with traditional GSO and ant colony system (ACS) algorithm.
Abstract: We explore range expansion along an fixed direction with a wireless system consists of a fixed number of mobile robots which do cooperative transmission (CT). The emphasis is on optimal the clusters and locations of clusters to maximize the multi-hop range along a line based on the glowworm swarm optimization (GSO). We build the CT model which can't be solved by conventional method, and solve it by using GSO algorithm to get the optimal result. In GSO algorithm, every mobile node was considered as a glowworm, and the intensity of signs was the intensity of luciferin. Firstly, the initial deployment of nodes is set randomly. Then, after calculating the value of the movement probability, the direction of movement is determined as well as the direction of movement under the constraint of outage probability in CT model. Finally, the deployment of cluster nodes is finished by iterations. Simulation results show that our improve GSO (IGSO) algorithm has such characteristics as high precision and time saving by comparing with traditional GSO and ant colony system (ACS) algorithm.

1 citations

Journal ArticleDOI
TL;DR: Simulation experiments compared GSO, IACA with ACA and Exhaustive Attack Method (EAM), which proves GSO and IACA are effective, and the advantage of IACA is high accuracy and GSO is time saving.

1 citations

Proceedings ArticleDOI
25 May 2020
TL;DR: An improved whale optimization algorithm (IWOA) is proposed, which can reduce excessive use of an electrode and reuse electrodes in average manner to optimal the longest lifetime of DMFBs during the design process.
Abstract: Digital micro-fluidic biochips (DMFBs) are revolutionizing laboratory procedures for point-of-care clinical diagnostics, environmental monitoring, and protein analysis. Those procedures require high precision of the output for every operation so it need to ensure the chip reliability and the chip lifetime. Because the electrodes on the chip may be reused at different experimental stages, a degraded electrode may be reused for many times. So the lifetime of the chips is closely related to the total actuating time of an electrode. Thus, the electrode total actuating time needs to be considered carefully in an efficient DMFBs design process. This paper proposed an improved whale optimization algorithm (IWOA), which can reduce excessive use of an electrode and reuse electrodes in average manner to optimal the longest lifetime of DMFBs during the design process. Firstly, the position mass of individual whales was improved to solve the problem that the data, calculated by the WOA, cannot be directly used to represent the sequence of operations. Secondly, the inertial weight was added to enhance the local search ability of WOA. The simulation experimental results showed that this algorithm was able to solve lifetime optimization problems. The maximum electrode time used was reduced by 10% to 20%. The performance of efficiency and convergence of algorithm were very good.

1 citations


Cited by
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Journal ArticleDOI
TL;DR: The routing problem is identified as a dynamic path-planning problem and mixed path design problem under certain constraints, and an improved Dijkstra and improved particle swarm optimization (ID-IPSO) algorithm is proposed, which can accommodate more faulty electrodes for the same fault repair rate.
Abstract: Digital microfluidic biochips (DMFBs) are attractive instruments for obtaining modern molecular biology and chemical measurements. Due to the increasingly complex measurements carried out on a DMFB, such chips are more prone to failure. To compensate for the shortcomings of the module-based DMFB, this paper proposes a routing-based fault repair method. The routing-based synthesis methodology ensures a much higher chip utilization factor by removing the virtual modules on the chip, as well as removing the extra electrodes needed as guard cells. In this paper, the routing problem is identified as a dynamic path-planning problem and mixed path design problem under certain constraints, and an improved Dijkstra and improved particle swarm optimization (ID-IPSO) algorithm is proposed. By introducing a cost function into the Dijkstra algorithm, the path-planning problem under dynamic obstacles is solved, and the problem of mixed path design is solved by redefining the position and velocity vectors of the particle swarm optimization. The ID-IPSO routing-based fault repair method is applied to a multibody fluid detection experiment. The proposed design method has a stronger optimization ability than the greedy algorithm. The algorithm is applied to , , and fault-free chips. The proposed ID-IPSO routing-based chip design method saves 13.9%, 14.3%, and 14.5% of the experiment completion time compared with the greedy algorithm. Compared with a modular fault repair method based on the genetic algorithm, the ID-IPSO routing-based fault repair method has greater advantages and can save 39.3% of the completion time on average in the completion of complex experiments. When the ratio of faulty electrodes is less than 12% and 23%, the modular and ID-IPSO routing-based fault repair methods, respectively, can guarantee a 100% failure repair rate. The utilization rate of the electrodes is 18% higher than that of the modular method, and the average electrode usage time is 17%. Therefore, the ID-IPSO routing-based fault repair method can accommodate more faulty electrodes for the same fault repair rate; the experiment completion time is shorter, the average number of electrodes is lower, and the security performance is better.

6 citations

Proceedings ArticleDOI
20 Oct 2020
TL;DR: The study evaluates the occurrence of errors in measuring channels of a multi-channel data-measurement system and develops the abstract metrology model of the measuring channel that takes into account the errors related to inherent instrument errors as well as the errors induced by the structure of theasuring subsystem.
Abstract: Developing metrology solutions is of major importance when building data-measurement systems. One of the key issues is evaluating the characteristics of measuring channels built on the basis of digital sensors of physical values. These sensors include a primary analog transducer and an analog-digital converter. The study evaluates the occurrence of errors in measuring channels of a multi-channel data-measurement system. This study deals with the measuring channel built on the basis of digital temperature sensor employing contact measurement. The digital temperature sensor is an integral body that combines both the primary temperature transducer and the primary data processing units. Drawing on the analysis of various errors the study develops the abstract metrology model of the measuring channel. This model takes into account the errors related to inherent instrument errors as well as the errors induced by the structure of the measuring subsystem. The work presents calculations of multiplicative and additive errors of the measuring channel. It also suggests measures for minimizing the additive errors of the measuring channel in the system.

3 citations

Book ChapterDOI
01 Jan 2018
TL;DR: In this chapter, a synergetic algorithm, namely the coupled bacterial foraging/jumping frogs optimization algorithm (BFJFO), is described and utilized as a tool for control of the heroin epidemic problem.
Abstract: Swarm intelligence is a branch of computational intelligence where algorithms are developed based on the biological examples of swarming and flocking phenomena of social organisms such as a flock of birds. Such algorithms have been widely utilized for solving computationally complex problems in fields of biomedical engineering and sociology. In this chapter, two different swarm intelligence algorithms, namely the jumping frogs optimization (JFO) and bacterial foraging optimization (BFO), are explained in detail. Further, a synergetic algorithm, namely the coupled bacterial foraging/jumping frogs optimization algorithm (BFJFO), is described and utilized as a tool for control of the heroin epidemic problem.

1 citations

Journal Article
Liu Ping-an1
TL;DR: In this paper, the thermal conductivity coefficient of silica aerogels, calcium silicate, and composite material was tested with the Flash method and the effect factor of thermal conductivities coefficient were discussed.
Abstract: The mechanism of thermal conductivity coefficient were analysedThe thermal conductivity coefficient of silica aerogels,calcium silicate,composite material with silica aerogels and calcium silicate were tested with Flash methodAnd the effect factor of thermal conductivity coefficient were discussed

1 citations

Journal Article
TL;DR: The improved thermal conductivity measuring instrument was realized with automatic data acquisition and processing, real time display temperature curve, data automatic memory and computation, good man-machine contact surface function.
Abstract: This article proposed a new thermal conductivity measuring instrument's heating platform based on the FD-TC-B type,using the DS18B20 integration temperature sensor to gather temperature signal,with the system carries on the data processing by AVR microcontroller and union superior machine's edition function module of the LabVIEW softwarethe,the heating platen temperature can be stabl controlled by the PID algorithm.The improved thermal conductivity measuring instrument was realized with automatic data acquisition and processing,real time display temperature curve,data automatic memory and computation,good man-machine contact surface function.This article introduced the design of hardware and software about the device.The experiments show that the improved thermal conductivity measuring device is more reliable,the data is more direct and more accurate.It can meet the research testing and teaching experiments' requirement.

1 citations