Cascaded Cross-Layer Fusion Network for Pedestrian Detection

The detection method based on anchor-free not only reduces the training cost of object detection, but also avoids the imbalance problem caused by an excessive number of anchors. However, these methods only pay attention to the impact of the detection head on the detection performance, thus ignoring the impact of feature fusion on the detection performance. In this article, we take pedestrian detection as an example and propose a one-stage network Cascaded Cross-layer Fusion Network (CCFNet) based on anchor-free. It consists of Cascaded Cross-layer Fusion module (CCF) and novel detection head. Among them, CCF fully considers the distribution of high-level information and low-level information of feature maps under different stages in the network. First, the deep network is used to remove a large amount of noise in the shallow features, and finally, the high-level features are reused to obtain a more complete feature representation. Secondly, for the pedestrian detection task, a novel detection head is designed, which uses the global smooth map (GSMap) to provide global information for the center map to obtain a more accurate center map. Finally, we verified the feasibility of CCFNet on the Caltech and CityPersons datasets.

Identifikasi Jumlah dan Faktor Timbulan Sampah Di Kawasan Wisata Malioboro

In preparing Malioboro as a 24-hour tourist area, garbage and waste can cause negative impacts. This study aims to identify the daily amount and factors of waste in the study area, namely the gate of Kepatihan sayap Malioboro area, using a phenomenological and rational approach. In this study, following the thoughts of B. Sommer (1980) about the person center map and place center map so that the movement of Malioboro visitors and the activities of visitors and street vendors in a certain period with a certain study area. The types of waste that most often appear are food and beverage packaging, plastic bags, plastic straws and cigarette butts. The maximum volume of waste that can be accommodated in the trash per day is 3 x 1.458 m3 = 4,374 m3 per day. Awareness of the importance of cleanliness is important through socialization in the form of a flash mob. The next suggestion is to maximize the function of the trash can by separating it according to its type.

Analisis Spasial untuk Lokasi Relokasi Masyarakat Terdampak Tsunami Selat Banten Tahun 2018

Relocation is an alternative policy in post-disaster management, especially in disaster-prone area. This study was conducted to map alternative locations of relocation of affected people in 2018 Banten Strait tsunami in Mekarsari Village. The method used is an analysis of superimposed spatial data using aerial photograph, disaster hazard level map, spatial pattern map, road network, economic center map and Geo-KKP data. Analysis of vulnerability map and spatial pattern map was done through scoring. Accessibility analysis was conducted using road network map and economic center was carried out using buffer analysis. The results show that in Mekarsari Village, Banten, alternatives locations of relocation were obtained in 3 classes: class 1 for 173,013 Ha; class 2 for 115,180 Ha and class 3 for 269,806 Ha. This study is useful to determine suitable area for relocation quickly, appropriately, effectively and in accordance with Spatial Planning.Key Word: Victim population, Spatial Analysis, Post-Disaster Relocation, Tsunami.Intisari: Relokasi menjadi salah satu alternatif kebijakan yang dapat dilakukan pasca bencana, untuk daerah yang memiliki ancaman bencana tinggi. Kajian ini dilakukan untuk memetakan alternatif lokasi relokasi bagi masyarakat terdampak tsunami d Selat Banten tahun 2018 dengan lokasi di Desa Mekarsari. Metode yang dilakukan menggunakan analisis superimposed data spasial yakni foto udara, peta tingkat kerawanan bencana, peta pola ruang, peta jaringan jalan, peta pusat perekonomian dan data Geo-KKP. Analisis terhadap peta tingkat kerawanan bencana dan peta pola ruang dilakukan melalui skoring. Analisis terkait aksesibilitas dilakukan menggunakan peta jaringan jalan dan pusat perekonomian dilakukan melalui sistem buffer. Hasil penelitian menunjukkan bahwa di Desa Mekarsari, Banten diperoleh alternatif relokasi relokasi dengan 3 klasifikasi kelas yaitu relokasi kelas 1 seluas 173.013 Ha; lokasi relokasi kelas 2 seluas 115.180 Ha dan lokasi relokasi kelas 3 seluas 269.806 Ha. Kajian yang dilakukan menjadi salah satu metode untuk menetukan relokasi secara cepat dan tepat, dan efektif karena lokasi yang dipilih sesuai dengan RTRW.Kata Kunci: Masyarakat Terdampak, Analisis Spasial, Relokasi Pasca Bencana, Tsunami.