The effectiveness of services provided by a business incubator is the basis and premise for promoting the incubator itself and for incubating and developing new ventures inside. Services in different forms, contents and levels may influence the performance of incubated firms such as surviving rate and growth rate. We first classify incubator services into several types including infrastructure, educating, business assistance and networking services based on business practices and a careful literature review. Then some propositions were developed to link these services to the performance of incubated firms. Finally we construct a business model to illustrate the co-evolution process between incubator and incubatees, and how new services are generated and adopted in the process. We also consider the timing effect -the difference between incubating and nurturing phases. By employing a suitable operating model, an incubator is seen not only an enabler, but also an accelerator.Keywords -incubator, incubated business, service development and innovation, business venture and performance

In wireless sensor networks' (WSNs') applications, the ability of sensor node to estimate their accurate position is crucial. In this paper, we develop a modified weighted centroid location algorithm (WCA), which can degrade the effects of the density of beacon nodes and uniformity of deployment. By using weighted average of the received beacon nodes' coordinates instead of arithmetic mean as the estimation results, receivers can obtain optimum localization results. The performance analysis of both WCA and centroid algorithm (CA) are presented. Simulation results show that WCA can operate efficiently by using weighted centroid mechanisms.

Industrial robots are an important way to realize the development of industrial industry intelligence and automation, an important driving force to accelerate the construction of Industry 4.0, and an important basic force to improve the professional level of industrial industry. The development of industrial robot technology has enhanced the requirements of its detection quality and the demand for data comprehensiveness. Most of the previous robots obtain the corresponding data through a single sensor system, which has a large error and a high limitation of the range of data obtained. The detection method of industrial robots has the problems of high cost and high professionalism. Therefore, this paper constructs a dual-angle sensor industrial robot detection system based on the fusion of multisource vibration signals and achieves the fusion of multisensor signals through Kalman filtering to provide reliable analysis data for the dual-angle sensor detection system. The experimental results show that Kalman filtering can effectively remove noise while preserving the original vibration signal characteristics and structure and improve the reliability and validity of the vibration signal. In addition, the dual-angle sensor detection system can realize the position detection of industrial robots according to the command standard and obtain the corresponding residual and standard values through system data analysis. The overall optimization of the system algorithm enhances the accuracy and reliability of the measurement.

Location information of sensor node in wireless sensor networks is necessary for many WSNs' applications, the ability of sensor nodes to estimate their accurate position is crucial. In order to improve the location accuracy of centroid algorithm, we present an improved weighted centroid location algorithm (IWCA) with a time of arrival weight, which can weaken the negative effects of the density of beacon nodes and uniformity of deployment. By using weighted average of the received beacon nodes' coordinates instead of arithmetic mean as the estimation results, receivers can obtain optimum localization results. The performance analysis of both IWCA and centroid algorithm (CA) are presented. Simulation results show that IWCA can operate efficiently by using timeweighted centroid mechanisms.

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