Do Observations during Patrolling Trips Detect Changes in Wildlife Presence & Diversity in National Parks?

Globally, mountains encompass spectacular landscapes and a great diversity of species. However, Savannah’s mountains in Sudan have been affected by the loss of diversity due to human activities and climate changes. Therefore, this study aims to assess changes in wildlife diversity in Jebel-Eldair Nation Park (JENP) based on only reports from patrolling activities, especially in the absence of regular wildlife monitoring programs. Reports of monthly wildlife observations during patrolling trips were used for the summer season in 2010 and 2018. Findings showed a moderate to high decline in the most important wildlife species (i.e. lion, wild dog, and crest porcupine). Six others are documented as rare species in reserve, including the civet, spotted hyena, striped hyena, jackal, seraval, and Siberian bird. Contrary and despite the diversity reduction, some species witnessed increases in their observation frequency, such as lesser kudu, caracal, monitor, and lunar bird. Moreover, human settlements, agricultural activities, and other anthropogenic factors were found to be the main drivers of biodiversity reduction in JENP. The study recommends adopting this method to detect changes in wildlife communities, especially in a situation of deficiency and lack of funding to conduct regular monitoring programs.

A multi-UAV deployment method for border patrolling based on Stackelberg game

To strengthen border patrol measures, unmanned aerial vehicles(UAVs) are gradually used in many countries to detect illegal entries on borders. However, how to efficiently deploy limited UAVs to patrol on borders of large areas remains challenging. In this paper, we first model the problem of deploying UAVs for border patrol as a Stackelberg game. Two players are considered in this game: The border patrol agency is the leader,who optimizes the patrol path of UAVs to detect the illegal immigrant. The illegal immigrant is the follower, who selects a certain area of the border to pass through at a certain time after observing the leader’s strategy. Second, a compact linear programming problem is proposed to tackle the exponential growth of the number of leader’s strategies. Third, a method is proposed to reduce the size of the strategy space of the follower. Then, we provide some theoretic results to present the effect of parameters of the model on leader’s utilities. Experimental results demonstrate the positive effect of limited starting and ending areas of UAV’s patrolling conditions and multiple patrolling altitudes on the leader ’s utility, and show that the proposed solution outperforms two conventional patrol strategies and has strong robustness.

A Survey of Multi-robot Regular and Adversarial Patrolling

Multi-robot systems can be applied to patrol a concerned environment for security purposes.According to different goals,this work reviews the existing researches in a multi-robot patrolling field from the perspectives of regular and adversarial patrolling.Regular patrolling requires robots to visit important locations as frequently as possible and a series of deterministic strategies are proposed,while adversarial one focuses on unpredictable robots’moving patterns to maximize adversary detection probability.Under each category,a systematic survey is done including problem statements and modeling,patrolling objectives and evaluation criteria,and representative patrolling strategies and approaches.Existing problems and open questions are presented accordingly.

A path planning method for robot patrol inspection in chemical industrial parks

Safety patrol inspection in chemical industrial parks is a complex multi-objective task with multiple degrees of freedom.Traditional pointer instruments with advantages like high reliability and strong adaptability to harsh environment,are widely applied in such parks.However,they rely on manual readings which have problems like heavy patrol workload,high labor cost,high false positives/negatives and poor timeliness.To address the above problems,this study proposes a path planning method for robot patrol in chemical industrial parks,where a path optimization model based on improved iterated local search and random variable neighborhood descent(ILS-RVND)algorithm is established by integrating the actual requirements of patrol tasks in chemical industrial parks.Further,the effectiveness of the model and algorithm is verified by taking real park data as an example.The results show that compared with GA and ILS-RVND,the improved algorithm reduces quantification cost by about 24%and saves patrol time by about 36%.Apart from shortening the patrol time of robots,optimizing their patrol path and reducing their maintenance loss,the proposed algorithm also avoids the untimely patrol of robots and enhances the safety factor of equipment.

Research on Interdisciplinary Project-Based Teaching in Primary Schools Catalyzed by Digital Intelligence Empowerment

With the rapid development of information technology,digital intelligence empowerment has gradually become an important direction of educational innovation.This paper uses the case analysis method to explore in depth how digital intelligence empowerment and project-based teaching can promote the integration of primary school curricula.Taking the teaching of intelligent patrol cars as an example,this paper analyses the positive role of digital intelligence empowerment in improving teaching effectiveness and cultivating students’comprehensive ability.The research results show that digital intelligence empowerment not only enriches teaching resources but also optimizes the teaching process.Combined with project-based teaching methods,it can effectively improve students’interest in learning and performance.This study provides a useful reference and inspiration for the project-based teaching of curriculum integration in primary schools and has certain practical significance and theoretical value for promoting the process of educational informatization.

A cloud Bayesian network approach to situation assessment of scouting underwater targets with fixed-wing patrol aircraft

The battlefield situation changes rapidly because underwater targets'are concealment and the sea environment is uncertain.So,a great number of situation information greatly increase,which need to be dealt with in the course of scouting underwater targets.Situation assessment in sea battlefield with a lot of uncertain information is studied,and a new situation assessment method of scouting underwater targets with fixed-wing patrol aircraft is proposed based on the cloud Bayesian network,which overcomes the deficiency of the single cloud model in reasoning ability and the defect of Bayesian network in knowledge representation.Moreover,in the method,the cloud model knowledge deal with the input data of Bayesian network reasoning,and the advantages in knowledge representation of cloud theory and reasoning of Bayesian network are applied;also,the fuzziness and stochasticity of cloud theory in knowledge expression,the reasoning ability of Bayesian network,are combined.Then,the situation assessment model of scouting underwater targets with fixed-wing patrol aircraft is established.Hence,the directed acyclic graph of Bayesian network structure is constructed and the assessment index is determined.Next,the cloud model is used to deal with Bayesian network,and the discrete Bayesian network is obtained.Moreover,after CPT of each node and the transformation between certainty degree and probability are accomplished;the final situation level is obtained through a probability synthesis formula.Therefore,the target type and the operational intention of the other side are deduced to form the battlefield situation.Finally,simulations are carried out,and the rationality and validity of the proposed method are testified by simulation results.By this method,the battlefield situation can be gained.And this method has a wider application range,especially for large sample data processing,and it has better practicability.

Determination of Main Design Indicators of Patrol Road in Nature Reserves

In principle,nature reserves are managed and controlled according to the core area and the general control area.At present,there is no relevant design specification for the design system of patrol road in various protected areas.This paper analyzed the factors to be considered in determining the grade,horizontal and vertical design indicators,and cross section indicators of the patrol road in the protected area,and came up with the corresponding design indicators and parameters,so as to provide a certain reference for the subsequent patrol road design.

无人飞艇输电线路巡线系统

文章介绍了无人自动驾驶飞艇及其输电巡线系统。无人驾驶飞艇上装设有全球卫星定位系统(GPS),飞行时可根据自动导航装置按照预先设定好的输电线路航线通过自动驾驶仪进行自动导航飞行,也可通过地面操控人员发出的无线指令进行人工遥控方式巡航。无人飞艇上有紫外成像仪、红外热像仪和可见光相机做成一体机载检测设备系统,同时,还搭载了无线视频数据传输装置,工作人员就可通过对回传的录相或照片等数据进行分析,从而替代传统人工巡检方法难以及时完成的局部输电线路导线安全和绝缘水平的评估工作。

开源网管软件新思维

随着SaaS、P2P等各类在线应用的兴起，使得各类在线应用服务公司采购了大量的服务器等IT设施、而如何对庞大的IT设施进行有效的监控和管理，一直是很头疼的问题。以往，网络监控软件都是商业软件的天下，主要有BMC Patrol、CA Unicenter、HP Open View或IBM Tivoli，这些软件动辄都要花费百万美元级的开销，

Research on the Anomaly Detection Method in Intelligent Patrol Based on Big Data Analysis

The network anomaly detection in intelligent patrol is based on the trigger of a single threshold of network element performance parameters in patrol task, which has a high false alarm rate and low efficiency. In order to effectively and accurately integrate network performance, this paper proposes to mine network element performance data and network element log information in the integrated automatic patrol to detect network anomalies. Because log files have a large amount of data and a variety of types, and log data has a complex structure and contains large implied information. The relationship between network anomalies and time can actively discover through the analysis of the log files. Therefore, big data mining and classification can greatly improve the efficiency of data processing. However, the accuracy of finding network anomalies is insufficient only for log analysis. Therefore, this paper puts forward the performance indexes collected in the log analysis and patrol inspection system and adopts the sequence analysis algorithm to detect network anomalies, so as to improve the accuracy and efficiency of detection.

Prolate and Oblate Shape Coexistence in ^188Pt

A standard in-beam y-spectroscopy experiment for ^188Pt is performed via the ^176yb（^18O, 6n） reaction at beam energies of 88 and 95 MeV, and the level scheme for ^188Pt is established. Prolate and oblate shape coexistence has been demonstrated to occur in ^188Pt by applying the projected shell model. The rotation Mignment of i13/2 neutrons drives the yrast sequence changing suddenly from prolate to oblate shape at angular momentum 1Oh, indicating likely a new type of shape phase transition along the yrast fine in ^188Pt.

Panda Patrols on the Qinling Mountains

THE Zhouzhi County Laoxiancheng Nature Reserve at the southern foot of the Qinling Mountains in Shaanxi Province is habitat to more than 30 giant pandas. They are looked upon as China’s national treasure. Covering a total area of 12,611 hectares, the nature reserve is also home to other wildlife species, such as antelopes, golden monkeys, and leopards.A patrol of 11 members, formed 15 years ago, works to protect animals living on the reserve, and their natural environment. Each month it spends 3 to 5 days on three inspections. In the 1980s the patrol rescued and treated an injured giant panda they found on the mountain.

有的放矢,保卫系统服务安全

本文介绍了如何使用Registry Help Pro，Win Services、Win Patrol、Ghost Security Suite、ID Folder Protector，超级巡警，Comodo Cleaning Essentials等软件，来保卫系统服务。

警路纵横 奔驰Ener-G-Force概念车

你能想象2025年时所见的公路警务巡逻车是什么样子吗？奔驰先锋设计中心通过最新的Ener-G-Force概念车提前告诉了我们。Ener-G-Force概念车也参加了2012年洛杉矶车展设计挑战赛,而2012年的主题正是＂Highway Patrol Vehicle 2025＂,即为＂2025年的公路巡逻车＂。而且你猜得没错,这款新型概念车也可以被看作是未来奔驰G级的雏形。

汕头查获一批侵权玩具

4月1日，在汕头海关驻港口办事处通关现场，一批模仿美国动画片“狗狗巡逻队PAW PATROL”动画形象的塑料玩具被海关依法予以扣留。

乐在途中 日产途乐

尽管SUV市场在中国火爆得一塌糊涂，但提到全尺寸SUV，依然像超级跑车一样，是普通老百姓可望而不可及的遥远物件儿。虽然市场占有率不高，但全尺寸SUV在国内的受关注度并不低，再加上可观的利润率，就不难理解为什么众多厂商都要争先恐后地把各自的全尺寸SUV引入中国。随着时代的发展，全尺寸SUV的功能属性有了明显的改变，舒适与豪华慢慢成了主流方向，这一点在众多车型的最新换代中都已被验证，日产途乐自然也不例外。

NISSAN PATROL 铁汉柔情

途乐是一款具有历史的车型，1951年第一代日产Patrol途乐4W60诞生，至今已经有64年历史，而现款途乐则是在2010年正式发布，发布地点则选择了纸醉金迷的阿联酋迪拜，从这点就可以看出，日产不仅仅希望途乐是那个频繁出现在联合国维和部队画面中，任劳任怨，永远不知疲倦的工具车辆，更是一款足够豪华的高端SUV。

BMC为强化服务级别管理业务推出PATROL for SLM

2000年11月13日美国拉斯维加斯讯——BMC软件公司今天宣布推出针对服务级别管理(Service Level Management【SLM】)的PATROL，这是一个基于PATROL产品线的解决方案，可作为监视和管理服务级别的标准。PATROL FOR SLM从顾客角度审视服务级别管理，可加速对服务级别协议(SLA)的制订和管理，促使企业系统地对其关键业务应用程序的可用性和性能进行优化处理。