Pub Date : 2022-10-01DOI: 10.1109/ICACSIS56558.2022.9923534
N. Ravi, M. El-Sharkawy
Image classification and tiny-object detection are challenging tasks in computer vision domain. This is primarily due to their ability to tackle real-world problems, such as de-veloping self-driving cars, robot navigation, surveillance systems, and monitoring road safety. A hard negative mining approach is predominately utilized to train object detection networks, which use positive and negative samples to increase network gains, but the selection of negative samples is an expensive process as the network identifies many duplicates. Numerous research findings are being carried out to enhance hard negative mining. This research addresses the drawbacks of existing techniques in the hard negative mining approach and proposes utilizing medium priors to improve network performance. Medium priors can be defined as anchor boxes with 20 % to 50 % overlap with ground truth boxes. Since the tiny objects are much smaller than other objects in a frame, considering medium priors significantly enhances the detection probability. The proposed metric has been evaluated using Single Shot Multibox Detector (SSD) architec-ture. Experimental results on PASCAL VOC datasets indicate that the average precision of tiny objects such as potted plants and bottles increased by 4 % and 3.9 % with an overall increase in mAP of 0.9%.
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Pub Date : 2022-10-01DOI: 10.1109/ICACSIS56558.2022.9923479
Hadi Sulistyo, Unggul Satrio Yudhotomo, Hazen Alrasyid, Mohd Farhan, Kasim Kasim, Mala Utami, W. W. Yunanda, Fiorentina Nulhakim, Salsa Ayuning Tias, G. R. Deksino
Displacement of the capital of Indonesia has been provided for in Law Number 3 of 2022, namely the IKN Nusantara which is one of the centers of gravity or the center of national strategic strength so that security for the area is very much needed. In order to secure the IKN from all possible enemy attacks, a military defense base is needed that functions as a Logistics support center to support all military operations. The purpose of this study is to determine a strategic location as a center for maritime defense logistics distribution lines in order to secure the IKN area using the Analytical Hierarchy Process (AHP) method combined with satellite image analysis using a Geographic Information System (GIS) by considering the criteria and sub-criteria in determining the location center for maritime defense logistics distribution lines. The results of the research from the AHP weighting method show that the priority order of criteria based on experts is safety from natural conditions, population conditions, environmental locations, distribution line conditions, and required cost. The results of remote sensing satellite image data processing with analysis using Geographic Information Systems with ArcGIS software shows that the results of satellite image overlays are equipped with regional boundaries and routes around IKN. The determination of the location of the center of the distribution line for the defense logistics of the marine sector is concentrated in Samboja District, surely in the Kampung Lama Village which is also used as the location point for the pier plan. Kampung Lama Village, Samboja has criteria and sub-criteria that meet to be used as a central location for maritime defense logistics distribution lines to secure the IKN area. Obviously, Kampung Lama Village is also used as the location point for the pier plan.
2022年第3号法律规定了印度尼西亚首都的迁移，即努沙塔拉，它是国家战略力量的重心或中心之一，因此该地区的安全是非常需要的。为了确保IKN不受所有可能的敌人攻击，需要一个军事防御基地，作为支援所有军事行动的后勤支援中心。本研究的目的是通过考虑确定海上防御物流配送线位置中心的标准和子标准，使用层次分析法(AHP)方法结合地理信息系统(GIS)的卫星图像分析，确定作为海上防御物流配送线中心的战略位置，以确保IKN区域的安全。AHP加权法的研究结果表明，专家给出的评价标准优先级依次为自然条件安全系数、人口条件安全系数、环境区位安全系数、配电线路安全系数和所需成本安全系数。利用地理信息系统软件ArcGIS对遥感卫星影像数据进行处理和分析的结果表明，卫星影像叠加结果具有以IKN为中心的区域边界和路线。海洋部门防卫后勤配送线中心的选址集中在三宝加地区，当然也在甘榜喇嘛村，这里也是码头计划的选址点。Samboja Kampung Lama村有标准和子标准，可以用作海上防御物流配送线的中心位置，以确保IKN地区的安全。显然，甘榜喇嘛村也被用作码头计划的位置点。
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Pub Date : 2022-10-01DOI: 10.1109/icacsis56558.2022.9923518
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