The Typical Application of Building Energy Consumption Monitoring and Energy Management : A Case Study

Liang Zhao,Ruobing Liang,Jili Zhang 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.1

Building energy consumption monitoring and management system plays a vital role in the advance of building energy conservation, because it offers abundant online real time data, which are mainly used to further analyze energy saving potential and put forward a feasibility methodology for implementation. In addition to its extreme importance in decreasing energy consumption and saving costs, the platform can also help to find the anomalies of the main equipment. In this paper, we first introduce the structure of the monitoring platform, and then put forward an error analysis principle to improve the precision of heat meters. A case study is given for a building in “hot summer and cold winter” area, including the installation of various measuring meters and data verification. Finally, the energy consumption data of the building from January to December in 2013 were analyzed.

Design and Implementation of Energy Saving Controller for Air-Conditioner in Building

Liang Zhao,Jili Zhang,Yue Shen,Wenyan Wu 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.8

This paper has completed the hardware design of STM32F103 system circuit, infrared code learning module, human body infrared sensor module, indoor temperature and humidity sensor module, completes the software design of learning air conditioning remote control code, indoor temperature and humidity sensor module, also completes the energy-saving controller hardware and software debugging. Finally, this paper takes split type air conditioning units in a conference room as the control object (including indoor lighting system) to complete the energy-saving controller in air conditioner electrical system design, installation and debugging, completes the air conditioning start-stop and infrared temperature control code learning test. The test results show that energy-saving controller has realized infrared automatic perception of human activity, machine start-stop code self-learning and temperature settings and other functions.

Effect of Electrostatic Spraying Conditions on Droplet Deposition in Different Depth Areas on the Back of Target

Zhao Liang,Hao Ding,Guangming Wang,Xiaohui Zhang 한국전기전자재료학회 2020 Transactions on Electrical and Electronic Material Vol.21 No.2

In order to explore the optimal spraying effect of diff erent electrostatic spraying parameters on droplet deposition on the back of target, the application height, angle, charging voltage, and nozzle water pressure had been applied as spraying variables for the test designed to investigate on droplet density, deposition and coverage in diff erent depth areas of the target. The results of the study showed that the height and angle of the spatial parameters of the application had a significant effect on the application effect. The droplet deposition effect decreased by 94.71%, 89.09% and 94.17% at diff erent depths on the back of the target as the height increased from 20 to 50 cm. The deposition effects of droplets at diff erent depths on the back of the target at 60° tilt angle are 5.91%, 9.81% and 51.97% of them at 0° tilt angle respectively. The results of orthogonal experiment showed that the optimal parameters of diff erent depth areas on the back of different targets were inconsistent. The height and angle of application are the main influencing factors, when the target is warped up. The depth range of the target (5–7.5 cm) is greatly affected by the nozzle water pressure. In the actual spraying pesticides application, the appropriate operating parameters can be selected according to the size and attitude of the leaf surface to improve the spraying effect.

The Similarity for Nominal Variables Based on F-Divergence

Zhao Liang,Liu Jianhui 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.3

Measuring the similarity between nominal variables is an important problem in data mining. It's the base to measure the similarity of data objects which contain nominal variables. There are two kinds of traditional methods for this task, the first one simply distinguish variables by same or not same while the second one measures the similarity based on co-occurrence with variables of other attributes. Though they perform well in some conditions, but are still not enough in accuracy. This paper proposes an algorithm to measure the similarity between nominal variables of the same attribute based on the fact that the similarity between nominal variables depends on the relationship between subsets which hold them in the same dataset. This algorithm use the difference of the distribution which is quantified by f-divergence to form feature vector of nominal variables. The theoretical analysis helps to choose the best metric from four most common used forms of f-divergence. Time complexity of the method is linear with the size of dataset and it makes this method suitable for processing the large-scale data. The experiments which use the derived similarity metrics with K-modes on extensive UCI datasets demonstrate the effectiveness of our proposed method.

The Application of Building Energy Consumption Index in Campus Energy Efficiency Management Platform

Liang Zhao,Jili Zhang,Jinxing Ma 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.7

Categorized, itemized energy consumption model of buildings is established using energy consumption data of campus energy efficiency management platform; existing categorized, itemized energy consumption evaluation indices of buildings are summarized; and a mathematical model of building energy consumption indices is established, providing the basis for the quantitative evaluation of building energy consumption. The scope of application of each index is summed up; and the methods and steps for evaluation of building energy consumption using categorized, itemized energy consumption indices of buildings are elaborated through case study. The results show that the categorized energy consumption indices of buildings can be used to analyze the whereabouts and proportion of various energy consumptions of buildings, grasp the energy structure of buildings, and help analyze the power consumption trends of buildings and the proportion of various sub items, providing the basis for the formulation of energy efficiency management plan.

The Research on the Multi-Sensor Information Fusion Identifying of Alcohol based on Modified PCA and ANN

Liang Zhao,Jun Lu,Deng-Feng Chen,Wei Wang 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.8

Electronic nose (EN) is a equipment with ability of identification of simple or complex odors. Because of its low cost and accurate identification rate, the researches of it attract more attention and it develops quickly. Firstly, through Gas Sensor Array, we get large amount sample data and all data which is preprocessed. Secondly, modified Bp algorithm and RBF algorithm combining nearest neighbor - clustering algorithm and K-means clustering algorithm is proposed to realize the identification. Principal component analysis (PCA) method wipes off redundant sensor from the sensor array. Principle components and brief sensor signals are tested by above two algorithms. The test result indicated that the rapid and exact identification measure of ANN combining PCA is provided to the pattern identification with sensor information fusion.

Effects of Fashion Company`s Marketing Activities Using Micro-blogging Services on Chinese Consumer’s Attitude toward Company and Purchase Intention

( Liang Zhao ),( Mi Young Lee ) 한국패션비즈니스학회 2014 패션 비즈니스 Vol.18 No.6

The purpose of this research is to investigate the effects of fashion companies’ micro-blogging marketing activities on Chinese consumer attitudes and purchasing intentions. In this research, the technology acceptance model (TAM) was used as the research framework, and innovativeness, self-efficacy, and perceived enjoyment variables were included in the model. Through an online survey, 195 respondents participated in this study. The results were as follows: fashion innovation and self-efficacy have a significant positive effect on perceived usefulness, as well as ease of use. These two factors have a significant positive effect on perceived enjoyment. Furthermore, and most significantly, this perceived enjoyment has a significant effect on the consumer’s attitude toward the company, and intention to purchase the fashion company’s products.

The infertile individual analysis based on whole-exome sequencing in chinese multi-ethnic groups

Zhao Qiongzhen,Li Yanqi,Liang Qi,Zhao Jie,Kang Kai,Hou Meiling,Zhang Xin,Du Renqian,Kong Lingyin,Liang Bo,Huang Weidong 한국유전학회 2023 Genes & Genomics Vol.45 No.4

Background Infertility is a common and rapidly growing health issue around the world. The genetic analysis based on the infertile population is crucial for intervention and treatment. Objective To find candidate gene locus led to azoospermia in Chinese multi-ethnic groups and provide theoretical guidance for the diagnosis of genetic diseases to progressively aggravated infertility patients and sterile offspring with ART. Methods The study based on whole-exome sequencing (WES) was presented for genetic characteristic analysis of multi-ethnics and identification of variants related to infertility in Xinjiang area of China. Results The frequency of pathogenic variants showed significant ethnic differences among four main ethnics in Xinjiang. The population structure analysis confirmed that the Hui was close to the Han population, the Kazak was close to the Uygur population, and there are three ancestry components in the four ethnics. In addition, ten candidate variants potentially regulated azoospermia were detected, and KNTC1 (rs7968222: G > T) was chosen to validate the association. Through the analysis in the valid group, the frequency of rs7968222 (G > T) has a significant difference in the azoospermia population (11.76%, 8/68) and normospermia population (4.63%, 35/756) (P < 0.001). Interestingly, the proportion of people with abnormal follicle-stimulating hormone (FSH) level in the group carrying rs7968222 (G > T) was significantly higher than non-carriers (P < 0.05). Therefore, rs7968222 may regulate spermatogenesis through affecting hormone level. Conclusion Our study establishes the genetics analysis of Northwest China and finds a candidate gene locus KNTC1 (rs7968222: G > T), which is one of the genetic susceptibility factors for male azoospermia.

Solving for the Best Value of Bias Resistor to Promote Stability of Rs485 Fieldbus

Liang Zhao,Ruobing Liang,Jili Zhang 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.3

This paper analyzes several factors affecting the reliability of RS485 fieldbus communication, and then establishes the equivalent circuit model in order to solve bias resistor. The value range of bias resistor on the fieldbus is 556Ω~716Ω, which is determined by using the law of KCL and current limiting method. Furthermore the best value of bias resistor is derived about 670Ω for different unit loads based on the relationship between number of network nodes and the value of bias resistor, and the corresponding maximum network nodes of fieldbus are determined too. The research of this paper provides theoretical basis and engineering design guidance for the application of RS485 fieldbus.

An Integrated Nomogram Combining Clinical Factors and Microtubule-Associated Protein 1 Light Chain 3B Expression to Predict Postoperative Prognosis in Patients with Intrahepatic Cholangiocarcinoma

Liang Chen,Hongyuan Fu,Tongyu Lu,Jianye Cai,Wei Liu,Jia Yao,Jinliang Liang,Hui Zhao,Jiebin Zhang,Jun Zheng,Yingcai Zhang,Yang Yang 대한암학회 2020 Cancer Research and Treatment Vol.52 No.2

Purpose Microtubule-associated protein 1 light chain 3B (LC3B) serves as a key component of autophagy, which is associated with the progression of carcinoma. Yet, it is still unclear whether LC3B is also an independent risk factor for intrahepatic cholangiocarcinoma (ICC). We aim to explore the predictive value of LC3B on prognosis of ICC, and to establish a novel and available nomogram to predict relapse-free survival (RFS) and overall survival (OS) for these patients after curative-intent hepatectomy. Materials and Methods From August 2004 to March 2017, 105 ICC patients were eligibly enrolled in the Third Affiliated Hospital of Sun Yat-sen University. Preoperative clinical information of enrolled patients was collected. Expression LC3B in the ICC specimen was detected by immunohistochemistry. Results The 5-year RFS and OS in this cohort were 15.7% and 29.6%, respectively. On multivariate Cox regression analysis, independent risk factors for 5-year OS were cancer antigen 125, microvascular invasion, LC3B expression and lymph node metastasis. Except for the above 4 factors, neutrophil/lymphocyte ratio and tumor differentiation were independent factors for 5-year RFS. The area under the curve of nomograms for OS and RFS were 0.820 and 0.747, respectively. Conclusion The nomograms based on LC3B can be considered as effective models to predict postoperative survival for ICC patients.