Detection Algorithm of Laboratory Personnel Irregularities Based on Improved YOLOv7

Due to the complex environment of the university laboratory,personnel flow intensive,personnel irregular behavior is easy to cause security risks.Monitoring using mainstream detection algorithms suffers from low detection accuracy and slow speed.Therefore,the current management of personnel behavior mainly relies on institutional constraints,education and training,on-site supervision,etc.,which is time-consuming and ineffective.Given the above situation,this paper proposes an improved You Only Look Once version 7(YOLOv7)to achieve the purpose of quickly detecting irregular behaviors of laboratory personnel while ensuring high detection accuracy.First,to better capture the shape features of the target,deformable convolutional networks(DCN)is used in the backbone part of the model to replace the traditional convolution to improve the detection accuracy and speed.Second,to enhance the extraction of important features and suppress useless features,this paper proposes a new convolutional block attention module_efficient channel attention(CBAM_E)for embedding the neck network to improve the model’s ability to extract features from complex scenes.Finally,to reduce the influence of angle factor and bounding box regression accuracy,this paper proposes a newα-SCYLLA intersection over union(α-SIoU)instead of the complete intersection over union(CIoU),which improves the regression accuracy while increasing the convergence speed.Comparison experiments on public and homemade datasets show that the improved algorithm outperforms the original algorithm in all evaluation indexes,with an increase of 2.92%in the precision rate,4.14%in the recall rate,0.0356 in the weighted harmonic mean,3.60%in the mAP@0.5 value,and a reduction in the number of parameters and complexity.Compared with the mainstream algorithm,the improved algorithm has higher detection accuracy,faster convergence speed,and better actual recognition effect,indicating the effectiveness of the improved algorithm in this paper and its potential for practical application in laboratory scenarios.

Improved Scatter Search Algorithm for Multi-skilled Personnel Scheduling of Ship Block Painting

This paper focuses on the optimization method for multi-skilled painting personnel scheduling.The budget working time analysis is carried out considering the influence of operating area,difficulty of spraying area,multi-skilled workers,and worker’s efficiency,then a mathematical model is established to minimize the completion time. The constraints of task priority,paint preparation,pump management,and neighbor avoidance in the ship block painting production are considered. Based on this model,an improved scatter search(ISS)algorithm is designed,and the hybrid approximate dynamic programming(ADP)algorithm is used to improve search efficiency. In addition,the two solution combination methods of path-relinking and task sequence combination are used to enhance the search breadth and depth. The numerical experimental results show that ISS has a significant advantage in solving efficiency compared with the solver in small scale instances;Compared with the scatter search algorithm and genetic algorithm,ISS can stably improve the solution quality. Verified by the production example,ISS effectively shortens the total completion time of the production,which is suitable for scheduling problems in the actual painting production of the shipyard.

Analysis of the Digital Skill Gap of Agricultural Extension Personnel in South-East, Nigeria

The study analysed the digital skill gap of agricultural extension personnel on the use of digital technologies for extension services delivery in South-East, Nigeria. The specific objectives were to describe the socioeconomic characteristics of agricultural extension personnel in South-East Nigeria and identify the digital skill gaps among agricultural extension personnel in the area of study. Purposive sampling technique was used to select 364 Agricultural Extension personnel for the study. Data were collected through the use of structured questionnaire and were analysed using simple descriptive statistical tools such as percentages, mean score, and standard deviation. Findings indicated that most of the personnel were male (57.8%), within the age bracket of 38 - 47 years (62.9%), had B.Sc./HND as their highest educational qualification (74.7%), married (86.3%), and had a household size of 6 - 10 Persons (57.7%). It was further revealed that the majority (70.1%) were members of professional organization, earned a monthly income of N50,001.00 - N100,000.00 (65.7%), had a work experience of 11 - 15 years (51.1%), and owned a smartphone/ iPad/laptop (91.5%). Findings further indicated that they had moderate skill gap in Basic Computer skills (Mean = 4.32), and digital communication and collaboration skills (Mean = 4.26). Findings also showed that they had a high skill gap in digital technical skills (Mean = 2.46), digital data analysis skills (Mean = 2.09), digital content creation skills (Mean = 2.43), digital ethical skills (Mean = 2.79), multimedia production skills (Mean = 2.81), and video library management skills (Mean = 2.39). The study concluded that though there exists a high digital skill gap among agricultural extension personnel in South-East, Nigeria, their socioeconomic characteristics are capable of supporting the implementation of digital extension services in the area. The study recommended that the management of Agricultural Development Programs in South-East, Nigeria, should provide digital training for extension personnel to close the digital skill gap that currently exists among the personnel.

Comparative Study of the Socioeconomic Characteristics and Digital Literacy Level of Agricultural Extension Personnel in Imo and Ebonyi States, South-East, Nigeria

The study comparatively analysed the socioeconomic characteristics and digital literacy level of Agricultural Extension personnel (AEP) in Ebonyi and Imo States, South-East, Nigeria. The specific objectives were to describe the socioeconomic characteristics of agricultural extension personnel in Ebonyi and Imo States, and to ascertain the digital literacy level of AEP in the studied states. Purposive sampling technique was used to select 312 Agricultural Extension personnel (132 from Ebonyi State Agricultural Development Program and 180 from Imo State Agricultural Development Program) for the study. Data were collected through the use of validated and structured questionnaire, and administered through the help of well-trained enumerators. Data were analysed using simple descriptive statistical tools such as percentages mean score, standard deviation and weighted mean. Findings indicated that they were more male in the both States (55.3% and 57.8%) for Ebonyi and Imo State respectively and that the average age of AEP in Ebonyi and Imo States were 44.7 years and 49.2 years respectively. It was further revealed that the majority (77.3% and 82.8%) had B.Sc./HND as their highest academic qualifications, belonged to professional organisations (62.1% and 75%), and were earning an average monthly income of N58,798 and N62,648 for Ebonyi and Imo State respectively. Also, it was revealed that their mean years of service were 12.4 years and 13.4 years for Ebonyi and Imo State respectively. Almost all of them (87.9% and 95.0%) own a smartphone, had access to the internet (80.3% and 90.0%), but do not own a laptop/ipad (82.6% and 72.8%) for Ebon-yi and Imo State respectively. Results further revealed that Agricultural extension personnel in both Ebonyi and Imo State respectively had low digital literacy level ( = 2.41 and 2.32). The study concluded that AEP in Ebonyi and Imo State respectively had similar socioeconomic characteristics and low level of digital literacy. The study recommended that the management of ADPs in both Ebonyi and Imo State should ensure the training of AEP in digital skills to enhance their digital literacy level to enable them use digital technologies in their work.

Research on the Improvement of Incentive Mechanism for Pharmaceutical Sales Personnel - Taking Company A as an Example

Objective To analyze the improvement of the incentive mechanism of sales personnel in pharmaceutical company A,and to promote the smooth operation and further development of the company in a long term.Methods Compensation incentive,performance appraisal,welfare benefit,training incentive,promotion motivation and enterprise cultural inspiration were explored through questionnaires,telephone interviews and in-person interviews.Results and Conclusion This company’s incentive mechanism has problems in two aspects:Material incentives and spiritual incentives.As to the company’s characteristics and strategic development,the optimization countermeasures of incentive mechanism are proposed from the following three aspects:constructing a reasonable incentive system,establishing an efficient spiritual incentive mechanism,and implementing the dynamic incentive and differentiated incentive simultaneously.

Construction of a Multi-Level Strategic System for Cultivating Cultural Industry Management Talents in Colleges and Universities

Through SWOT(strengths,weaknesses,opportunities,and threats)and PEST(political,economic,social,and technological)analysis,this study discusses the construction of a multi-level strategic system for the cultivation of cultural industry management talents in colleges and universities.First of all,based on SWOT analysis,it is found that colleges and universities have rich educational resources and policy support,but they face challenges such as insufficient practical teaching and intensified international competition.External opportunities come from the rapid development of the cultivation of cultural industry management talents and policy promotion,while threats come from global market competition and talent flow.Secondly,PEST analysis reveals the key factors in the macro-environment:at the political level,the state vigorously supports the cultivation of cultural industry management talents;at the economic level,the market demand for cultural industries is strong;at the social level,the public cultural consumption is upgraded;at the technological level,digital transformation promotes industry innovation.On this basis,this paper puts forward a multi-level strategic system covering theoretical education,practical skill improvement,interdisciplinary integration,and international vision training.The system aims to solve the problems existing in talent training in colleges and universities and cultivate high-quality cultural industry management talents with theoretical knowledge,practical skills,and global vision,so as to adapt to the increasingly complex and diversified cultural industry management talents market demand and promote the long-term development of the industry.

Novel design of a personnel safety system for Hefei Light Source-Ⅱ

The Hefei Light Source-Ⅱ(HLS-Ⅱ) is a vacuum ultraviolet synchrotron light source. The personnel safety system (PSS), which is a personnel access control system, is a crucial part of the HLS-Ⅱ, as it protects the staff and users at HLS-Ⅱfrom radiation damages. The prior version of HLS-Ⅱ PSS was based on an access control system called SiPass. This lacked the personnel management function. Meanwhile, as the prior PSS is a turn-key system, it was not effective for sharing information. To overcome these drawbacks, the novel design of PSS for HLS-Ⅱ is proposed based on the Siemens redundant programmable logic controller under the Experimental Physics and Industrial Control System. The proposed PSS consists of a safety interlock system, access control system, and a radiation monitoring system. The safety interlock system is used to define the interlock logic. The access control system is designed to restrict the access of staff and users at HLS-Ⅱ, and to provide a personnel management function. The radiation monitoring system is used to monitor the radiation dose rate in both the light source and the surrounding areas. This paper details the architecture and the specific design of the novel PSS. The off-line test results demonstrate that the proposed system has achieved the design objectives.

Design of a personnel safety interlock system for proton therapy

Proton therapy is the most advanced radiotherapy approach in the world,and causes less damage to normal human tissue than traditional radiotherapy.Because the treatment process produces a high-energy proton beam,the personnel safety interlock system mainly considers measures to protect personnel from radiation hazards during beam preparation and the beam release process.Unlike other safety interlock systems,the personnel safety interlock system designed in this study focuses on the safety and stability of the system itself.The hardware and software of important interlock control loops are designed and developed according to the requirements of Safety Integrity Level 3 specified by IEC61508.A set of redundant ring networks was developed to ensure that damage to a certain network line does not affect the normal operation of the system.A set of friendly operation interfaces and data storage systems were developed to ensure that the operator can monitor the data in real time and trace the data.The personnel safety interlock system mainly includes a beam enabling function,clearance function,and emergency stop function.The system was put into actual use and successfully ensured personnel safety.

Concurrent collision probability of RFID tags in underground mine personnel position systems

According to the basic requirements of underground mine personnel position systems and the working characteristics of active RFID tags,we studied the cause of concurrent collision of RFID tags and leak reading probability,by means of theoretical analysis and computation.The result shows that the probability of wireless collision increases linearly with an increase in the number of tags.The probability of collision and leak reading can be reduced by extending the working period of the duty cycle and using a backoff algorithm.In a practical application,a working schedule for available labels has been designed according to the requirement of the project.

Personnel Cultivation Program for Innovative and Entrepreneurial Biopharmaceutical Discipline under the Credit System

Biopharmaceutical discipline is an interdisciplinary subject with strong comprehensiveness and wide coverage. Under the background of credit system,it is an important task for application-oriented undergraduate colleges and universities to optimize the cultivation program for innovative and entrepreneurial bio-pharmaceutical professionals. According to the characteristics of biopharmaceutical discipline,Binzhou University biopharmaceutical teaching and research office,based on the social demand for biopharmaceutical discipline talents,defined the principle of optimizing the cultivation of innovative and entrepreneurial biopharmaceutical discipline talents,and constructed the cultivation program of innovative and entrepreneurial biopharmaceutical discipline talents under the credit system. The development of this cultivation program is expected to build a new mode for cultivating high-level biopharmaceutical professionals with strong innovative spirit and entrepreneurial potential.

Visualization Techniques viaMLBS for Personnel Management in Major Events

Mobile location-based services(MLBS)refer to services around geographic location data.Mobile terminals use wireless communication networks(or satellite positioning systems)to obtain users’geographic location coordinate information based on spatial databases and integrate with other information to provide users with required location-related services.The development of systems based on MLBS has significance and practical value.In this paper a visualization management information system for personnel in major events based on microservices,namely MEPMIS,is designed and implemented by using MLBS.The system consists of a server and a client app,and it has some functions including map search and query,personnel positioning and scheduling,location management,messaging,and location service.Managers of the events can quickly search and locate the staff on the specific area of the map in real-time,and make broadcasting messages to the staff,and manage the staff.The client app is developed on the Android system,by which staff users can send the positions information to the server timely.The client users can search fuzzily near their peers and list their locations,and also call near peers through sending messages or query the history record of staff locations.In the design of the system,several new proposed techniques,including visual annotation method for overlapping locations,correcting trajectory drift algorithm,microservices-based overall system architecture methodology and other new techniques,which are applied to the implementation of the system.Also,HTML5,JQuery,MLBS APIs(Application Program Interfaces)related programming techniques have been used and combined with loading Ajax asynchronously and Json data encapsulation,map marker optimization techniques,that can improve the positioning accuracy and the performance of the system.The developed system with practical functions can enhance the efficiencies of the organization and management of major events.

Personnel Localization Method in Transformer Substation Based on Factor Graph

A SINS/GNSS location method based on factor diagram is proposed to meet the requirement of accurate location of substation construction personnel. In this paper, the inertial autonomous positioning, carrier motion information acquisition and satellite positioning technologies are integrated. The factor graph method is adopted to abstract the measurement information received by inertial navigation and satellite into factor nodes, and the state information into variable nodes, so as to construct the SINS/GNSS construction personnel positioning fusion factor graph model. The Gauss-Newton iterative method is used to implement the recursive updating of variable nodes, and the optimal estimate of the location information of the construction personnel is calculated, which realized the high precision location of the construction personnel. The factor graph method is verified by pedestrian navigation data. The results show that the factor graph method can continuously and stably output high-precision positioning results, and realize non-equidistant fusion of SINS and GNSS. The positioning accuracy is better than Kalman filter algorithm, and the horizontal positioning accuracy is less than 1 m. Therefore, the factor graph method proposed can provide accurate location information for substation construction personnel.

面向国家能源战略需求的卓越工程人才培养新体系构建与实践

行业特色高校由其办学属性决定,在培养卓越工程师等高端人才方面具有得天独厚的优势。中国石油大学(北京)作为一所油气能源特色高校,面对保障国家能源安全和能源战略转型发展双重使命挑战,坚持“强优、拓新、创一流”的学科建设思路,构建了学科发展新格局,以此为龙头,依托产学研合作办学优势,打造“思政引领、创新驱动、融合发展”的工程人才培养新模式,并建立了“内部保证、外部认证、智能赋能”的教育教学质量保障体系,取得了显著的人才培养成效,其创新成果具有较大的应用推广价值。

新文科背景下公共管理学科人才培养体系的建设

从阐释新文科的内涵与特征入手,分析了新文科背景下公共管理学科人才培养的要求,探讨了公共管理学科人才培养体系的构成要素与建设内容。认为公共管理学科人才培养体系的建设,应构建“三全”育人思想政治工作体系,健全教师、教学内容与教学方式相匹配的教学体系,优化思想政治理论课、通识课和专业课构成的课程体系,搭建校内校外相结合的实践培养体系,建立对学生多维度的综合考核评价体系,从而在全球化、信息化时代全面提升我国公共管理学科人才培养的质量。

人工智能与数字技术背景下统计学专业实践教学体系优化及设计

统计学专业建设需要紧跟人工智能和数字技术发展步伐,该文通过对统计学专业实践教学体系的现状分析与存在问题剖析,提出人工智能与数字技术背景下统计学专业实践教学体系优化与设计的思路,进而给出人工智能与数字技术背景下实践教学体系的总体框架和相应的优化设计方案,进一步提升学生将统计理论与人工智能、数字技术的融会贯通的能力,满足我国人工智能产业的发展和数字中国建设的人才需求。

公办园非在编教师人事制度改革:利益相关主体的诉求及对策建议

高质量学前教育体系是高质量教育体系建设的基础,学前教师是实现学前教育普及普惠与优质发展的关键力量。公办园非在编教师人事制度改革有助于为占学前教师近八成的非在编教师的人事制度改革提供重要参考。充分考虑多元利益相关者的诉求有助于减少改革的阻力,提升改革的可行性与有效性。本研究运用问卷法和访谈法,着重探讨公办园非在编教师、园长、举办者、教育行政部门四类核心与重要利益相关主体对公办园非在编教师人事制度改革的主要诉求,并基于以上诉求,从创新编制管理机制、健全待遇经费保障机制、建立同工同酬制度、保障专业发展机会等方面提出改革完善公办园非在编教师人事制度的对策建议。

我国社会保险经办服务体系的发展成就与转型升级

在对我国社会保险经办服务体系30年来的发展历程和取得的成就回顾与总结基础上,对经办服务体系存在的问题及其成因进行梳理:当前各级社会保险经办机构超编现象十分普遍;专业技术人员比例逐年下降;经办费用投入难以满足数字化转型的需求。鉴于此,提出加快社会保险经办服务体系高质量发展的改革思路:全国社会保险经办系统实行人员编制动态调整机制;全面提高人力资本水平;全面推进数字化转型;社会保险经办投入列入社会保险基金成本。

新文科建设背景下高校文科人才培养体系的创新

在新文科建设背景下,高校文科人才培养体系专业培养目标定位有待厘清、课程体系构建有待更新、实践教学资源有待丰富、师资队伍建设有待优化,面对这些现实困境,需要从明确新文科人才培养目标定位、构建以学生为本位的新文科课程体系、重视文科类实践教学资源建设、强化文科师资队伍建设等方面入手,创新高校文科人才培养体系,提高新文科人才培养质量,以此促进新文科教育改革,加快实现教育现代化。

人事制度与合同体系在公立医院绩效管理中的协同作用研究

基层县市级公立医院正面临人事制度的更新与变革,打破传统的人事管理模式已刻不容缓,对于医院而言,就必须要加快人事管理法制化的步伐,重视人事管理制度及配套合同体系的有效建设,科学调配医院与员工之间的关系,有效配置医院各个岗位上的人员,才能在改革与发展的过程中,实现县市级公立医院的长期运转,在三级公立医院绩效考核中发挥引领作用。文章旨在探讨人事制度与合同体系在公立医院绩效管理发挥协同作用中的策略,通过人事制度、合同体系以及绩效考核基本概念的讲解,分析当前公立医院绩效考核中存在的问题并提出人事制度与合同体系协同下的绩效考核策略,以供参考。

本科生导师制助推拔尖创新人才培养的探索与实践——以中南大学物理学院为例

导师制在世界高等教育发展与高校人才培养模式及博雅教育理念施行中扮演着非常重要的角色。本科生导师制在以“一制四化”为重点的拔尖创新人才培养模式改革与综合环境构筑中发挥了巨大作用。针对当前导师制实施过程中存在的问题和高校传统教学模式对拔尖创新人才培养的不尽如人意,探讨了本科生导师制结合思政教育贯穿、创新创业能力提升、学赛相长、科教融合及本-硕协同育人来助推拔尖创新人才培养,为拔尖创新人才培养模式的理性回归与培养质量的全面提升提供参考。