In the control of operation of the machinery and equipment of vehicles human error by operator makes accidents and disasters. In information technology system, there are also some accidents to system failure and data lost by the human error by operator. It is one of big issue for assurance system. To avoid human error by operator, emotion sense evaluation by Ontology rule is proposed. We configure this approach on Autonomous Decentralized Multi-Layered Cache system (ADMLC). We selected Galvanic Skin Response (GSR) value as the factor of human emotion for each operator. We try to sense operator unstable emotion by GSR value then request other operator to check whether his command order is true or not. We evaluated GSR value of nine operators by a week. Each operator has different GSR value and it is depending on person and environment. The analyzing method, Ontology rule is utilized in this proposal. Its rule engine always records the GSR value for ontology rule engine. The dynamic value of GSR shows operator's emotion in real time. Ontology rule engine decision makes the result of GSR value using the historical data. The result of emotion sense accuracy shows more than 90 % by evaluation. By the Ontology emotion sense rule engine on ADMLC system, it shows as one of possibility of method to avoid the system failure or data lost by the human error.
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机译：在控制车辆和设备的操作的操作中，操作员的人为错误的事故和灾害。在信息技术系统中，运营商的系统故障和数据损失的数据也有一些事故。它是保证体系的大问题之一。为了避免操作员的人为错误，提出了本体规则的情感感应评估。我们在自主分散的多层缓存系统（ADMLC）上配置此方法。我们选择电流皮肤响应（GSR）作为每个运营商的人类情感因素。我们尝试通过GSR值感测运算符不稳定的情绪，然后请求其他操作员检查他的命令顺序是否为真。我们在一周内评估了九个运营商的GSR值。每个运算符都具有不同的GSR值，因此取决于人和环境。本提案中使用了分析方法，本体规则。其规则引擎始终记录本体规则引擎的GSR值。 GSR的动态值显示了运营商实时的情感。本体规则引擎决策使用历史数据进行GSR值的结果。情感感准确度的结果通过评估显示了90％以上。由Onthology Sense Rubs Engine上的ADMLC系统，它显示为避免人为错误丢失的系统故障或数据的方法之一。
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