Computer trading systems are essential for today’s financial markets where the trading systems’ correctness is of paramount economical significance. Automated random testing is a useful technique to find bugs in these systems, but it requires an independent system to decide the correctness of the system under test (known as oracle problem). This paper introduces a constraint-based oracle for ra...

in our country, student transportations’ security and driving accidents statistics for students is one of the major concerns for relevant organizations such as educational organization. in current year, a system, was named sepand, was formed in city taxi driver :::::::union::::::: by educational organization, naja traffic and city taxi driver :::::::union:::::::. in this systems’ plan, basis on...

We propose to train trading systems and portfolios by optimizing objective functions that directly measure trading and investment performance. Rather than basing a trading system on forecasts or training via a supervised learning algorithm using labelled trading data, we train our systems using recurrent reinforcement learning (RRL) algorithms. The performance functions that we consider for rei...

T paper examines the contribution to price discovery by electronic and voice-based trading systems in the U.S. Treasury market. Evidence shows that the electronic trading system has more price discovery and that trading automation increases the speed of incorporating information into prices. However, human trading generates significant price discovery, though its volume is low. The relative con...

Today, the pace of development decentralized transactive management systems has increased significantly due to growing renewable energy source technologies and communication infrastructure at distribution system level. Such bilateral transactions have changed structure electricity markets led emergence a local market in distribution. While examining this change attitude, paper analyzes effects ...

In this paper, we present an approach for increasing service availability in intelligent video surveillance systems (IVS). A typical IVS system consists of various intelligent video sensors that combine image sensing with video analysis and network streaming. System monitoring and fault diagnosis followed by appropriate system reconfiguration mitigate effects of faults and therefore enhance the...

In this paper, we consider intelligence as an explicit requirement in modern information systems and introduce intelligence engineering as the application of a systematic and disciplined approach to the development, operation, and maintenance the intelligence. After categorizing intelligence sub-characteristics based on an extensive quantitative analysis, we choose learning as the most frequent...

The process of developing mechanical trading systems often leads to frustration and to a financial disaster if the systems do not perform as expected. The majority of those who attempt to develop mechanical trading systems quit sooner or later and if they decide to continue trading adopt an alternative style. As it turns out, developing a winning trading system is an art and a science and requi...