Research on determination method of the true visibility on vessels based on radar and light intensity chart of the lighthouse

Определение истинной видимости является основной морской метеорологической операцией дежурного офицера на борту. В условиях ограниченной видимости суда должны работать в соответствии с Правилом 19 Международных правил предотвращения столкновений на море. Однако в настоящее время нет документов, которые бы четко и количественно давались в руководстве по определению видимости на море. С другой стороны, системы управления безопасностью некоторых судоходных компаний выдают предупреждения, и дежурный офицер должен уведомить или вызвать капитана, когда видимость упадет до определенного предела. Это затрудняет для дежурного офицера принятие независимого решения об избежании столкновения в случае ухудшения видимости. В целях содействия решению актуальной морской проблемы, о которой говорилось выше, целью данной работы является исследование метода определения видимости на борту судна в определенных погодных условиях. Determining the true visibility is a basic marine meteorological operation of the duty officer on board. In the restricted visibility condition, vessels must sailing in accordance with Rule 19, International regulations for preventing collisions at sea. However, there are currently no documents that given clearly and quantitative in the guidance for determining visibility at sea. Otherwise, the warnings in the safety management systems of some shipping companies were given, and the officer of watch must inform or call the captain when the visibility reduced to a certain limit. This makes it difficult for the officer of watch to give the independent collision avoidance decision in the event of reduced visibility. In order to contribute to solve the actual maritime problem which is mentioned above, the goal of the paper is research on determine method of the visibility on board in a certain weather condition.

Visual Feedback Effectiveness in Reducing Over Speeding of Moped-Riders

The use of assistance systems aimed at reducing road fatalities is spreading, especially for car drivers, but less effort has been devoted to developing and testing similar systems for powered two-wheelers (PTWs). Considering that over speeding represents one of the main causal factors in road crashes and that riders are more vulnerable than drivers, in the present study we investigated the effectiveness of an assistance system which signaled speed limit violations during a simulated moped-driving task, in optimal and poor visibility conditions. Participants performed four conditions of simulated riding: one baseline condition without Feedback, one Fog condition in which visual feedback was provided so as to indicate to the participants when a speed limit (lower than that indicated by the traffic signals) was exceeded, and two post-Feedback conditions with and without Fog, respectively, in which no feedback was delivered. Results showed that participants make fewer speeding violations when the feedback is not provided, after 1 month, and regardless of the visibility condition. Finally, the feedback has been proven effective in reducing speed violations in participants with an aggressive riding style, as measured in the baseline session.

Soft Lens Detection in Iris Image using Lens Boundary Analysis and Pattern Recognition Approach

Recent studies have demonstrated that the soft lens wearing during iris recognition has indicated the increase of false reject rate. It denies the strong belief that the soft lens wearing will cause no performance degradation. Therefore, it is a necessity for an iris recognition system to be able to detect the presence of soft lens prior to iris recognition. As a first step towards soft lens detection, this study proposed a method for segmenting the soft lens boundary in iris images. However, segmenting the soft lens boundary is a very challenging task due to its marginal contrast. Besides, the flash lighting effect during the iris image enrolment has caused the image to suffer from inconsistent illumination. In addition, the visibility condition of the soft lens boundary may be discerned as a bright or dark ridge as a result of the flash lighting. Three image enhancement techniques were therefore proposed in order to enhance the contrast of the soft lens boundary and to provide an even distribution of intensities across the image. A method called summed-histogram has been incorporated as a solution to classify the visibility condition of the soft lens boundary automatically. The visibility condition of the ridge is used to determine the directional directive magnitude by the ridge detection algorithm. The proposed method was evaluated with Notre Dame Contact Lens Detection 2013 database. Results showed that the proposed method has successfully segment the soft lens boundary with an accuracy of over 92%.

The interpretation of pro in consistent and partial null-subject languages

This chapter deals with the acceptability and interpretation of referential null subjects (NSs) and compares consistent pro-drop in Italian with equivalent sentences in Finnish (a partial NS language), in different syntactic constructions (matrix, completive, factive, and adverbial clauses). This leads to the formulation of an original proposal that opens new perspectives for future research. Specifically, based on the interpretive judgements of 273 native speakers of Finnish, it is shown that a Topic chain analysis (Frascarelli 2007) can (and should) be assumed in partial NS languages as well, and that ‘partiality’ cannot be explained through narrow syntactic constraints. The Locality requirement is thus re-proposed as an Interface Visibility Condition (IVC), according to which in partial NS languages a pro is preferably interpreted as referring to the closest overt link in a Topic chain. The Topic Criterion is thus proposed as a Macroparameter of NS languages and the necessity of a ‘graded analysis’ ascribed to the IVC (as a Mesoparameter).

Research on Highway Intelligent Monitoring and Warning System Based on Wireless Sensor Network

The intelligent monitoring and warning system in highway fog section can realize timely forecast, early warning and information integration in low visibility condition. It can supply the scientific basis to highway decision-making management and technology to establish highway intelligent transportation system. The self-developed intelligent monitoring and warning system includes vehicle detector, camera, variable information board, ZigBee modules and controller EUC. The system can greatly reduce the traffic accidents caused by fog. Result shows that the system has high precision and reliability.

The ‘believe’-construction in Standard Arabic

This paper presents an analysis for the ‘believe’-construction in Standard Arabic (SA). The analysis proposed here assumes theVisibility Condition, whereby structural Case is necessary to render arguments visible at LF for θ-role assignment (Aoun 1979, Chomsky 1981). The earlier approaches are untenable because they do not make proper provision for the Case-visibility requirements of the complement clause of ‘believe’. Thus, they are not extendable to SA since they ignore the Case-visibility requirements of the CP complement ofð̣anna‘believe’, assuming that CPs require Case for visibility (Uriagereka 2006, 2008). These requirements can be satisfied if we assume the distinction between structural Case and lexical case established in Al-Balushi (2011: 126–157) based on SA data, where structural Case is licensed on arguments and lexical case is assigned to non-arguments, nominals merged in A-bar positions. I thus propose that the Acc-marked DP (embedded subject/matrix object) does not receive structural Acc Case from the matrix v*0, but rather lexical Acc case from the matrix predicateð̣anna, as a lexical element, reserving the structural Acc Case for the CP argument. I also argue that this DP is an A-bar element, co-indexed with an empty category argumentproin the embedded clause.