In industrial production, accidents caused by the unsafe behavior of operators often bring serious economic losses. Therefore, how to use artificial intelligence technology monitor in a production area real time has become research topic great concern. Based on YOLOv5 framework, this paper proposes an improved YOLO network detect behaviors such as not wearing safety helmets and smoking places. ...

The ripeness phases of jujube fruits are one factor mitigating against fruit detection, in addition to uneven environmental conditions such as illumination variation, leaf occlusion, overlapping fruits, colors or brightness, similar plant appearance the background, and so on. Therefore, a method called YOLO-Jujube was proposed solve these problems. With incorporation networks Stem, RCC, Maxpool...

At present, the underwater environment required by seafood aquaculture industry is very bad, and fishing operation completed artificially. In this environment, use of machine instead artificial development trend in future. By comparing characteristics different algorithms, multiscale Retinex algorithm (autoMSRCR) selected to deal with image color skew, blur, atomization, other problems. Labelim...

هدف: هدف پژوهش حاضر تعیین نقش واسطه‌­ای اجتناب تجربی و دشواری‌­های تنظیم هیجان در رابطه بین سازوکارهای دفاعی با افکار خودکشی نوجوانان بود. روش: از نوع توصیفی- همبستگی جامعه آماری این شامل تمام شهر کرج پاییز سال 1398 بود که میان آن­ها به روش نمونه گیری دسترس مناطق آموزشی 3 7، 270 نوجوان 15 تا 18 (125 پسر 143 دختر) انتخاب شدند. ابزار پرسشنامه دفاعی-40 آندروز همکاران (۱۹93) (DSQ-40)؛ دشواری گراتز ...

هدف: هدف این مطالعه بررسی ارتباط بین ادراک در پاسخگویی، مسئولیت‌پذیری و شفافیت با اعتماد عمومی میانجی‌گری اثربخشی درک شده از حکومت الکترونیکی مدیریت دولتی می‌باشد. طراحی/ روش‌شناسی/ رویکرد: پژوهش حاضر استفاده یک میدانی مقطعی کمی صورت پذیرفته است. داده‌های اولیه سطوح جـامـعه آماری مربوط به 23 دفتر فعال خدمات انتظامی (پلیس10 +) سطح استان گیلان بوده حجم نمونه 392 نفر مراجعه‌کنندگان دفاتر خدماتی می...

The accurate and timely detection of irregular behavior substation personnel plays an important role in maintaining personal safety preventing power outage accidents. This paper proposes a method for behaviors (IBD) based on improved YOLOv4 which uses MobileNetV3 to replace the CSPDarkNet53 feature extraction network, depthwise separable convolution efficient channel attention (ECA) optimize SP...

For a long time, the water column at impact point of naval gun firing sea has mainly depended on manual detection methods for locating, which problems such as low accuracy, subjectivity and inefficiency. In order to solve above problems, this paper proposes method based an improved you-only-look-once version 4 (YOLOv4) algorithm. Firstly, detects antenna through Hoffman line constrain sensitive...

Underwater target detection plays an important role in ocean exploration, to which the improvement of relevant technology is much practical significance. Although existing algorithms have achieved excellent performance on land, they often fail achieve satisfactory outcome when underwater environment. In this paper, one most advanced algorithms, YOLOv5 (You Only Look Once), was first applied env...