Survey of Data Value Evaluation Methods Based on Open Source Scientific and Technological Information

Author(s):  
Xiaolin Wang ◽  
Cheng Dong ◽  
Wen Zeng ◽  
Zhen Xu ◽  
Junsheng Zhang
2015 ◽  
Vol 17 (1) ◽  
pp. 193-201
Author(s):  
Byung-Han Jung ◽  
Jae-Hyun Park ◽  
Kwang-Mo Yang ◽  
Sung-Woo Kang ◽  
Kyung-Sik Kang

Author(s):  
Dong Huo

AbstractThe selection of basketball players should highlight their specific characteristics and proceed according to the essential laws of basketball. When the acquired training level becomes closer and closer, and is more and more conducive to the control of the entire training and competition, the selection of the standard paradigm of basketball players plays a key role. At present, the existing evaluation methods of basketball players are limited to the human experience of coaches, and there is a lack of further information evaluation methods. This article discusses a new type of basketball player evaluation scheme that combines wireless network and machine learning methods. First, the wireless sensor network is used to perceive basketball players' performance on the court and record various evaluation indicators. Secondly, establish a player value evaluation model through improved Bayesian algorithm and fuzzy comprehensive evaluation methods. Finally, after relevant tests and comparisons with the coaches' results, the model showed better evaluation results and a fairer value distribution.


2018 ◽  
Vol 6 (6) ◽  
pp. 223-227
Author(s):  
Yanli Zhu ◽  
Wei Xu ◽  
Jiawen Zhao

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1025 ◽  
Author(s):  
Park ◽  
Choi

In this paper, we present the detailed design and implementation procedures for an advanced driver assistance system (ADAS) based on an open source automotive open system architecture (AUTOSAR). Due to the increasing software complexity of ADAS, portability, component interoperability, and maintenance are becoming essential development factors. AUTOSAR satisfies these demands by defining system architecture standards. Although commercial distributions of AUTOSAR are well established, accessibility is a huge concern as they come with very expensive licensing fees. Open source AUTOSAR addresses this issue and can also minimize the overall cost of development. However, the development procedure has not been well established and could be difficult for engineers. The contribution of this paper is divided into two main parts: First, we provide the complete details on developing a collision warning system using an open source AUTOSAR. This includes the simplified basic concepts of AUTOSAR, which we have organized for easier understanding. Also, we present an improvement of the existing AUTOSAR development methodology focusing on defining the underlying tools at each development stage with clarity. Second, as the performance of open source software has not been proven and requires benchmarking to ensure the stability of the system, we propose various evaluation methods measuring the real-time performance of tasks and the overall latency of the communication stack. These performance metrics are relevant to confirm whether the entire system has deterministic behavior and responsiveness. The evaluation results can help developers to improve the overall safety of the vehicular system. Experiments are conducted on an AUTOSAR evaluation kit integrated with our self-developed collision warning system. The procedures and evaluation methods are applicable not only on detecting obstacles but other variants of ADAS and are very useful in integrating open source AUTOSAR to various vehicular applications.


2021 ◽  
Vol 2066 (1) ◽  
pp. 012006
Author(s):  
Ling Chen

Abstract With the rapid development of the times, the Internet has been deeply integrated into various fields, and many Internet companies have emerged at the historic moment, and economic activities such as mergers, reorganizations, acquisitions, issuance and listing, equity swaps, mortgages, bankruptcy and liquidation of Internet companies have also increased frequently. This has led to more and more value evaluation activities related to Internet companies, and the business model of Internet companies is different from traditional companies, so traditional corporate value evaluation methods cannot fully meet the special requirements of Internet company value evaluation. Therefore, we need to establish a sound Internet enterprise value evaluation system, and use more scientific and reasonable evaluation methods to ensure the interests of all parties to the transaction. Starting from the operating characteristics of Internet companies, this article analyzes the characteristics and difficulties of Internet corporate value evaluation, clarifies the effectiveness and limitations of the income method in Internet enterprise value evaluation, introduces the ARIMA model to improve the traditional income method and takes NetEase as an example. This method is applied to practice to verify its feasibility. So as to provide a scientific and reliable reference basis for Internet enterprise value evaluation.


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