RESEARCH ON THE LEAN START-UP PROCESS OF SOFTWARE ENTERPRISES

Shenghui Wang,Yuchen Zhang,Yang Sun 글로벌지식마케팅경영학회 2016 Global Marketing Conference Vol.2016 No.7

Many software enterprises prefer to use usual entrepreneurial approaches and make detailed business plans, which cost them a lot of time and resources. In the highly uncertain environment, the above practice lead to fail at business or entrepreneurship. To avoid the undesirable feature, software enterprises should adopt lean start-up method. The core idea of lean start-up method is to put in a minimalist prototype on the market, and fast iterative product on the basis of customer feedback (Ries, 2011). Because customers are introduced to the products or service iterative innovation process, the enterprise can meet the needs of the market better and grow up rapidly. Meanwhile, the enterprise can find a suitable business model to achieve efficient operation or reduce the risk of entrepreneurship (Maurya, 2013). Combining case study and theoretical deduction, this paper will show a process for software enterprise using lean start-up method. Firstly, based on literature reviews, the paper will sum up the basic logic of lean start-up and specifically expatiate the five-step model for software enterprises which is “idea generation-customer validation-prototype creation-customer feedback-product iteration”. Secondly, this paper will give a lean start-up process for software enterprises. In the process, the first step is drawing a business model canvas rather than a detailed business plan, it may include nine blocks which are key partners, key activities, key resources, value propositions, customer relationships, channels, customer segments, cost structure and revenue streams, each block has a series of hypotheses (Blank, 2013). The second step is adopting the customer development method to test these hypotheses and adjust irrational hypotheses to satisfy customers’ requirements, this step is referred to as validated learning, with the aim of setting up a continuous customer feedback channel and achieving long-term sustainable development. The third step is adopting agile development to build minimum viable product and iterative the product according to customer feedback quickly, in order to reduce waste and save resources. It is essential for lean start-up to use a smaller, faster iterative process to verify the idea (Ries, 2011). Thirdly, this paper will use several typical cases of software enterprises to verify this lean start-up process. Finally, put forward the general rule of lean management so that it can provide reference for the software enterprises.

Simulation of MPPT basing on the Improved Perturbation and Observation Method

Shenghui Wang,Jingying Hao,Yuexin Jin,Hong Zheng 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.10

The operation of photovoltaic cells is influenced by the environmental temperature, irradiance and other factors, showing a typical non-linear characteristic in different external conditions. This paper studies the working characteristic of photovoltaic panels. This paper analyses the impact the temperature and light intensity put on the output current, output voltage and output power of photovoltaic battery. Photovoltaic cells are able to run on different and unique maximum power point. This paper compares and analyzes four useful MPPT methods, points out the advantage and weakness of every method in detail. This paper presents a calculation method of input and output capacitors and inductors of BOOST circuit And presents a new maximum power tracking method, the new method can fast track the maximum power point, and solve the oscillation problem.

THE IMPACT OF BIG DATA ON BUSINESS MODEL INNOVATION OF TRADITIONAL INDUSTRY

Shenghui Wang,Yuchen Zhang,Tianzhu Li,Jing Fei Long 글로벌지식마케팅경영학회 2016 Global Marketing Conference Vol.2016 No.7

With the rapid development of science and technology, big data has been applied in many fields and has brought commercial revolution[1]. The scientific community generally regards big data as "massive data + complex types of data". Commercial applications are more concerned about big data as an analytical (prediction) method and focus on the potential commercialization of analysis results. All walks of life will produce large amounts of data every day. The transition of data-scale brings huge commercial value, which will certainly bring the innovation of business model[2]. Particularly in the internet and other emerging industries, because they get data more convenient and fast. Like Amason, Facebook, Google etc, they use analysis of big data to innovate their business model for maximizing their profits[3], actually business model refers to "an enterprise’s profitable operation mode plus ways to make money"[4]. So the effectiveness of business model innovation of big data on emerging industries has been remarkable. But the impact of big data on traditional industries is still in the exploratory stage. Traditional industry mainly refers to the labor intensive, manufacturing oriented industries, including the traditional commerce and service industry[5]. Learning from the experience of big data on business model innovation of emerging industries, traditional industries can use big data to subvert the business model and accelerate the transformation and upgrading.

Wind Power Short Term Forecasting based on Back Propagation Neural Network

Shenghui Wang,Xiaonan Liu,Yuexin Jin,Keding Qu 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.7

This paper analyze and summarize the current situation as well as methods of forecasting wind power from home and aboard based on wind power development of China. Due to the BP neural network can approximate any nonlinear mapping with any arbitrary precision and its generalization ability is strong. This paper used BP neural network for power prediction, set up a model with numerical weather prediction data and wind power of a wind farm in Inner Mongolia Autonomous Region. Then used MATLAB to simulate and verify the feasibility of this prediction model the precision meet the requirements. In the last of this paper, the author development and design a simple system of wind power forecasting by using visual basic. The system has made the forecasting process to be simple and convenient, and also made easy to operation for the dispatcher.

Novel kinematic and geometric views for improving tooth contact analysis of spatial gears

Wang Shenghui,Zhou Yuansheng,Chu Chih-Hsing,Tang Jinyuan 한국CDE학회 2022 Journal of computational design and engineering Vol.9 No.3

Tooth contact analysis (TCA) has been widely applied to evaluate the working performance of gear pairs. TCA is often formulated with five unknowns and five independent scalar equations. The solution process involves a global optimization problem with strong nonlinearity and numerical instability, especially for spatial gears with complicated tooth geometries. This study proposes novel kinematic and geometric views of gearing that reveal insights into the meshing process of spatial gears. One unknown can be removed from the position and normal equations of the TCA formulation. To solve the remaining four unknowns, a simplified optimization model with two unknowns is proposed, and the other two unknowns are obtained by using geometric iterative methods or directly from explicit expressions in some cases. A general algorithm was developed to solve the simplified TCA. The test results of both the spiral bevel and face gear drives validate the effectiveness of the proposed method.

Removal of chloride ions from acidic solution with antimony oxides

Xuewen Wang,Yanping Du,Haoxiang Yang,Shenghui Tian,Qi Ge,Sheng Huang,Mingyu Wang 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.93 No.-

This studyaims to investigate the removal of Cl- from acidic solutionwith antimony oxides. The effects of theadsorbenttype,reaction time,reaction temperature,Sb/Clmole ratio andacidityonadsorptionperformanceand the regeneration of loaded adsorbent were systematically studied. The results shows that Sb2O3 xH2Ohas the highest adsorption rate (97.64%) among Sb2O3 xH2O, Sb2O5 xH2O, Sb2O4 xH2O and Sb2O3 in thesolution containing 1.25 mol/L H2SO4under the condition of Sb/Cl mole ratio 3:1 and stirring for 2 h at roomtemperature, and the concentration of Cl- in the acid solution can be reduced to 280 mg/L. Then the residualSb in the adsorbed solution can be decreased from 48.21 mg/L to 16.09 mg/L by C-SbA which is made bySb2O5 xH2O. The C-SbA which has been used can be reused after calcining at 400 ℃ for 2 h. The loadedadsorbent was completely regenerated by adding it into NaOH or Na2CO3 solution whose pH is equal ormore than 9.5 according to S/L ratio 1:6 g/mL and was stirred for 0.5 h at room temperature. The Cl- in theregenerated solution was crystallized and precipitated in the form of NaCl without evaporation andconcentration according to the common ion effect of Na+, and the purity of NaCl was more than 99%.

Research on Media Stream Transmission Based on Back-pressure in Mobile Wireless Network

Liu Shenghui,Wang Chenqing,Che Nan 보안공학연구지원센터 2013 International Journal of Future Generation Communi Vol.6 No.5

Circuit Module Design of High-Voltage Side for Optical Current Transformer

Ying Zhang,Shenghui Wang,Xuejie Wang,Lei Qi 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.1

The Field Programmable Gate Array (FPGA) technology has been used for designing the signal processing circuit of A/D device, CRE code and Manchester module of high-voltage side for optical current transformer in this paper. The A/D controlling module, CRC code module, Manchester encoding module and the storage in FPGA has been designed and simulated. The signal processing circuit design program of high-voltage side for optical current transformer in this paper has been proved from the simulating results and can meet the requirements of optical current transformer on communication of data, which is rapid and reliability.

RESEARCH ON THE RELATIONSHIP AMONG E-WOM, CONSUMER ETHNOCENTRISM, BRAND EQUITY AND PURCHASE INTENTION

Yang Sun,Shenghui Wang,Xianfang Xue 글로벌지식마케팅경영학회 2016 Global Marketing Conference Vol.2016 No.7

China has been the biggest factory in the world, most of products are marked “made in China”. With the rapid grows of consumption in China, it is also the biggest market. However, Chinese consumers with deep-rooted Confucian value system may different from Western countries (Ramasamy & Yeung, 2009). Do they still have strong consumer ethnocentrism? Or they can accept all the things they made but with the foreign brands? The power of WOM to influence customer attitude toward one brand is well known to all the marketing researchers. But the fast development of internet and social media network changed consumers’ behavior, word-of-mouth has acquired electronic WOM (e-WOM) as a new name (Goyette et al, 2010). Customer use E-WOM to evaluate product and make purchase decision. Ethnocentric consumers are against foreign brands as they believe that purchasing these brands will hurt domestic economy and brands, cause loss of jobs and increase the power of capitalist companies and dependency of poorer economies to them (Kaynak & Eksi, 2013). But customers are will to searching the better products. Such as Chinese mainland consumers hire purchase agent to shopping aboard. The purchase agent post information in the social media network as eWOM. This research wants to explore the young Chinese still have high ethnocentric tendency or not influenced by eWOM. If E-WOM can be a marketing method to reduce the ethnocentrism when foreign brands entry a new country. And also the domestic brands can use E-WOM to enhance ethnocentrism to against foreign brands. In this research, study 1 tests positive E-WOM or negative E-WOM to test if it can enhance Chinese consumers’ ethnocentrism or reduce their ethnocentrism for their own country products. This research also tests if consumer ethnocentrism can influence on brand equity and purchase intention. Based on the literature review, researchers establish concept model was shown in Table 1. This study uses SPSS and AMOS to analysis the sample. Based on the results this research gives suggestions to both academic and practice.

Pattern Recognition of Partial Discharge in Power Transformer Based on InfoGAN and CNN

Lv Fangcheng,Liu Guilin,Wang Qiang,Lu Xiuquan,Lei Shengfeng,Wang Shenghui,Ma Kang 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.2

As an important equipment in the power system, it has a significant meaning in scientifically diagnosing the insulation state of oil-immersed power transformers. At present, the pattern recognition of partial discharge (PD) in a transformer has the problem of the insufficient generalization ability of the classifier due to scarcity and imbalance of samples, resulting in low recognition accuracy. To solve this problem, this paper proposes a pattern recognition of the PD method based on information maximizing generative adversarial nets (InfoGAN) and convolutional neural networks. In this method, phase-resolved partial discharge (PRPD) maps, constructed from pulse current waveforms, are chosen as the training samples. First, the InfoGAN is trained to generate new samples which expanded the original sample database, then various classifiers are trained by using the expanded sample database to realize the pattern recognition. Results of the test show that the proposed method can generate new highly similar samples more stable than other data enhancement methods, and effectively enrich the data diversity. In addition, the classifier trained by the expanded sample database has better generalization ability and is applicable to different classifiers, while residual network 18 has the highest recognition rate of 99.0%. This method can effectively balance and expand PRPD samples, and improve the recognition accuracy of the classifier to a certain extent. It has a good application prospect in PD diagnosis engineering.