Enhancing Camera Calibration for Traffic Surveillance with an Integrated Approach of Genetic Algorithm and Particle Swarm Optimization.

Recent advancements in sensor technologies, coupled with signal processing and machine learning, have enabled real-time traffic control systems to effectively adapt to changing traffic conditions. Cameras, as sensors, offer a cost-effective means to determine the number, location, type, and speed of vehicles, aiding decision-making at traffic intersections. However, the effective use of cameras for traffic surveillance requires proper calibration. This paper proposes a new optimization-based method for camera calibration. In this approach, initial calibration parameters are established using the Direct Linear Transformation (DLT) method. Then, optimization algorithms are applied to further refine the calibration parameters for the correction of nonlinear lens distortions. A significant enhancement in the optimization process is achieved through the integration of the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) into a combined Integrated GA and PSO (IGAPSO) technique. The effectiveness of this method is demonstrated through the calibration of eleven roadside cameras at three different intersections. The experimental results show that when compared to the baseline DLT method, the vehicle localization error is reduced by 22.30% with GA, 22.31% with PSO, and 25.51% with IGAPSO.

Sensor Fusion-Based Vehicle Detection and Tracking Using a Single Camera and Radar at a Traffic Intersection.

Recent advancements in sensor technologies, in conjunction with signal processing and machine learning, have enabled real-time traffic control systems to adapt to varying traffic conditions. This paper introduces a new sensor fusion approach that combines data from a single camera and radar to achieve cost-effective and efficient vehicle detection and tracking. Initially, vehicles are independently detected and classified using the camera and radar. Then, the constant-velocity model within a Kalman filter is employed to predict vehicle locations, while the Hungarian algorithm is used to associate these predictions with sensor measurements. Finally, vehicle tracking is accomplished by merging kinematic information from predictions and measurements through the Kalman filter. A case study conducted at an intersection demonstrates the effectiveness of the proposed sensor fusion method for traffic detection and tracking, including performance comparisons with individual sensors.

Vehicle Localization in 3D World Coordinates Using Single Camera at Traffic Intersection.

Optimizing traffic control systems at traffic intersections can reduce the network-wide fuel consumption, as well as emissions of conventional fuel-powered vehicles. While traffic signals have been controlled based on predetermined schedules, various adaptive signal control systems have recently been developed using advanced sensors such as cameras, radars, and LiDARs. Among these sensors, cameras can provide a cost-effective way to determine the number, location, type, and speed of the vehicles for better-informed decision-making at traffic intersections. In this research, a new approach for accurately determining vehicle locations near traffic intersections using a single camera is presented. For that purpose, a well-known object detection algorithm called YOLO is used to determine vehicle locations in video images captured by a traffic camera. YOLO draws a bounding box around each detected vehicle, and the vehicle location in the image coordinates is converted to the world coordinates using camera calibration data. During this process, a significant error between the center of a vehicle's bounding box and the real center of the vehicle in the world coordinates is generated due to the angled view of the vehicles by a camera installed on a traffic light pole. As a means of mitigating this vehicle localization error, two different types of regression models are trained and applied to the centers of the bounding boxes of the camera-detected vehicles. The accuracy of the proposed approach is validated using both static camera images and live-streamed traffic video. Based on the improved vehicle localization, it is expected that more accurate traffic signal control can be made to improve the overall network-wide energy efficiency and traffic flow at traffic intersections.

Roseomonas oryzicola sp. nov., isolated from the rhizosphere of rice (Oryza sativa L.).

A Gram-stain-negative, coccobacilli-shaped bacterium, designated YC6724T, was isolated from the rhizosphere of rice in Jinju, Korea. The taxonomy of strain YC6724T was studied using a polyphasic approach. Strain YC6724T grew optimally at 30 °C and pH 7.0-8.0. Comparative 16S rRNA gene sequence analyses showed that the strain was most closely related to Roseomonas soli 5N26T (98.4 % 16S rRNA gene sequence similarity), Roseomonas lacus THG33T(97.3 %) and Roseomonas terrae DS-48T (97.3 %). Sequence similarities with other species of the genus Roseomonas with validly published names were lower than 94.0 %. Phylogenetic analysis based on the 16S rRNA gene sequence showed that strain YC6724T formed a distinct phyletic lineage within the genus Roseomonas. Strain YC6724T had DNA-DNA relatedness values of 16.6 %, 44.0 % and 33.2 % with R. soli KACC 16376T, R. terrae KACC 12677T and R. lacus KACC 11678T, respectively. The predominant fatty acids of strain YC6724T were C18 : 1ω7c and/or C18 : 1ω6c, C16 : 0 and C18 : 1 2-OH. The polar lipid profile contained phosphatidylethanolamine, phosphatidylcholine, phosphatidylglycerol,diphosphatidylglycerol, an unknown aminolipid and two unknown lipids. The G+C content of the genomic DNA was 70.5 mol% and the major quinone was Q-10. Strain YC6724T contained spermidine as the major polyamine. On the basis of phenotypic, chemotaxonomic and molecular data, it is clear that strain YC6724T represents a novel species of the genus Roseomonas, for which the name Roseomonas oryzicola sp. nov. is proposed. The type strain is YC6724T (=KCTC 22478T=NBRC 109439T).

Diversity of the bacterial community in the rice rhizosphere managed under conventional and no-tillage practices.

Bacterial diversity in the rice rhizosphere at different rice growth stages, managed under conventional and no-tillage practices, was explored using a culture-based approach. Actinobacteria are among the bacterial phyla abundant in the rice rhizosphere. Their diversity was further examined by constructing metagenomic libraries based on the 16S rRNA gene, using actinobacterial- and streptomycete-specific polymerase chain reaction (PCR) primers. The study included 132 culturable strains and 125 clones from the 16S rRNA gene libraries. In conventional tillage, there were 38% Proteobacteria, 22% Actinobacteria, 33% Firmicutes, 5% Bacteroidetes, and 2% Acidobacteria, whereas with no-tillage management there were 63% Proteobacteria, 24% Actinobacteria, 6% Firmicutes, and 8% Bacteroidetes as estimated using the culture-dependent method during the four stages of rice cultivation. Principal coordinates analysis was used to cluster the bacterial communities along axes of maximal variance. The different growth stages of rice appeared to influence the rhizosphere bacterial profile for both cultivation practices. Novel clones with low similarities (89-97%) to Actinobacteria and Streptomyces were retrieved from both rice fields by screening the 16S rRNA gene libraries using actinobacterial- and streptomycete-specific primers. By comparing the actinobacterial community retrieved by culture-dependent and molecular methods, it was clear that a more comprehensive assessment of microbial diversity in the rice rhizosphere can be obtained using a combination of both techniques than by using either method alone. We also succeeded in culturing a number of bacteria that were previously described as unculturable. These were in a phylogenetically deep lineage when compared with related cultivable genera.

Sphingomonas oryziterrae sp. nov. and Sphingomonas jinjuensis sp. nov. isolated from rhizosphere soil of rice (Oryza sativa L.).

Two Gram-reaction-negative, yellow-orange-pigmented, rod-shaped bacterial strains, designated YC6722(T) and YC6723(T), were isolated from rhizosphere soil samples collected from rice fields in Jinju, Korea. Strains YC6722(T) and YC6723(T) grew optimally at 25-30 °C and at pH 7.0-8.5. Phylogenetic analyses of 16S rRNA gene sequences showed that strain YC6722(T) was most closely related to Sphingomonas jaspsi TDMA-16(T) (96.6 % sequence similarity) and strain YC6723(T) was related most closely to Sphingomonas aquatilis JSS7(T) (96.9 %). The two strains contained ubiquinone-10 (Q-10) as the major respiratory quinone system and sym-homospermidine as the major polyamine. The G+C contents of the genomic DNA of strains YC6722(T) and YC6723(T) were 63.3 and 61.0 mol%, respectively. The major fatty acid was C(18 : 1)ω7c. The polar lipids detected in the two strains were phosphatidylethanolamine, phosphatidylglycerol, diphosphatidylglycerol, sphingoglycolipid, phosphatidyldimethylethanolamine and other unknown lipids. On the basis of their phylogenetic positions, and their biochemical and phenotypic characteristics, strains YC6722(T) and YC6723(T) represent two novel species of the genus Sphingomonas, for which the names Sphingomonas oryziterrae sp. nov. ( = KCTC 22476(T)  = DSM 21455(T)) and Sphingomonas jinjuensis sp. nov. (KCTC 22477(T)  = DSM 21457(T)) are proposed.

Haloferula luteola sp. nov., an endophytic bacterium isolated from the root of a halophyte, Rosa rugosa, and emended description of the genus Haloferula.

A Gram-negative, non-spore-forming, endophytic bacterium, strain YC6886(T), was isolated from the root of a halophyte, Rosa rugosa, which inhabits coastal areas of Namhae Island off the southern coast of Korea. Cells were non-motile, obligately aerobic rods and formed pale-yellow colonies. The isolate grew at 4-32 °C (optimum 25-28 °C) and at pH 6.5-9.5 (optimum pH 7.5) and grew optimally with 2-3 % (w/v) NaCl, but NaCl was not an absolute requirement for growth. Strain YC6886(T) produced yellow carotenoid pigments. Strain YC6886(T) exhibited the highest 16S rRNA gene sequence similarity with Haloferula sargassicola MN1-1037(T) (97.4 %). Sequence similarities between strain YC6886(T) and other members of the genus Haloferula were 93.9-94.7 %. DNA-DNA relatedness between strain YC6886(T) and H. sargassicola KCTC 22202(T) and Haloferula rosea KCTC 22201(T) was 27 and 15 %, respectively. The major fatty acids were iso-C(14 : 0), C(16 : 0) and C(16 : 1)ω9c and minor components were C(14 : 0), C(18 : 0) and anteiso-C(15 : 0). The major respiratory quinone was menaquinone 9 and the DNA G+C content was 58.5 mol%. The polar lipid profile was composed of diphosphatidylglycerol, phosphatidylethanolamine, phosphatidylglycerol, an unknown phospholipid and an unknown phosphoglycolipid. On the basis of phenotypic, chemotaxonomic, DNA-DNA hybridization and phylogenetic analysis, strain YC6886(T) represents a novel species in the genus Haloferula, for which the name Haloferula luteola sp. nov. is proposed. The type strain is YC6886(T) ( = KCTC 22447(T)  = DSM 21608(T)). An emended description of the genus Haloferula is also presented.

Acceptance and understanding of the informed consent procedure prior to gastrointestinal endoscopy by patients: a single-center experience in Korea.

BACKGROUND/AIMS: Only a few reports have examined informed consent for gastrointestinal endoscopy in Korea. The aim of this study was to evaluate the appropriateness of the informed consent procedure in Korea. METHODS: A total of 209 patients who underwent endoscopy were asked to answer a self-administered structured questionnaire on the informed consent procedure for gastrointestinal endoscopy. RESULTS: One hundred thirteen patients completed questionnaires and were enrolled. In the survey, 91.2% answered that they understood the procedure, and the degree of understanding decreased with age; 85.8% were informed of the risks of the procedure, and the proportion was higher for inpatients and for those receiving therapeutic endoscopy or endoscopic retrograde cholangiopancreatography; 60.2% were informed of alternative methods, and the proportion was higher in older patients; 76.1% had the opportunity to ask questions during the informed consent procedure, and the proportion was higher in inpatients. The understanding of the risks of the endoscopic procedure was better in the younger and more highly educated groups. About 80% had sedation before endoscopy, and only 56% were informed of the risks of sedation during endoscopy. CONCLUSIONS: The current informed consent process may be reasonably acceptable and understandable to the patients. However, the understanding of the risks of endoscopy was insufficient especially in the cases of older, poorly educated patients and outpatients. The information about alternatives, the opportunity to ask for additional information, and the information about the risks of sedation during endoscopy were also insufficient in the current consent process.

Haloferula rosicola sp. nov., an endophytic bacterium isolated from the root of a halophyte, Rosa rugosa, and emended description of the genus Haloferula.

A Gram-negative, non-spore forming endophytic bacterial strain YC6886T, was isolated from the root of a halophyte, Rosa rugosa, inhabiting coastal areas of Namhae island, located off southern end of Korea. The Cells were non-motile, obligately aerobic, and rod-shaped and formed colonies that were pale yellow in colour. The strain was able to grow at 4-32 degrees C (optimum at 25-28 degrees C) and at pH 6.5-9.5 (optimum at pH 7.5). It grew optimally in 2-3 % (w/v) NaCl, but NaCl was not an absolute requirement for growth. Strain YC6886T produced yellow carotenoid pigments. Comparison of 16S rRNA gene sequences showed that the strain was a member of the genus Haloferula, a member of phylum Verrucomicrobia, exhibiting highest similarity with Haloferula sargassicola MN1-1037T (97.4 %). Sequence similarities of the strain YC6886T to the other Haloferula type strains were 93.9-94.7 %. The DNA-DNA relatedness values of the strain YC6886T with H. sargassicola KCTC 22202T and H. rosea KCTC 22201T were 27 and 15 %, respectively. The predominant fatty acids were iso-C14:0, C16:0 and C16:1omega9c. The major respiratory quinone was menaquinone-9 and the DNA G+C content was 58.5 mol%. On the basis of phenotypic, chemotaxonomic, DNA-DNA hybridization data and phylogenetic analysis, strain YC6886T represents a novel species in the genus Haloferula, for which the name Haloferula rosicola sp. nov. is proposed. The type strain is YC6886T (= KCTC 22447T = DSM 21608T).

Flavobacterium sasangense sp. nov., isolated from a wastewater stream polluted with heavy metals.

A Gram-negative, rod-shaped bacterium, designated strain YC6274(T), was isolated from a stream (Sasang) carrying wastewater polluted with heavy metals in Busan, Korea. Growth was observed at 10-35 degrees C (optimum, 30 degrees C) and pH 6.0-9.5 (optimum, pH 7.5-8.0). Comparative 16S rRNA gene sequence analyses showed that the strain was most closely related to Flavobacterium cucumis R2A45-3(T) (96.6 % similarity), F. aquatile ATCC 11947(T) (93.7 %), F. croceum EMB47(T) (93.3 %), F. indicum GPTSA100-9(T) (93.3 %) and F. terrigena DS-20(T) (93.2 %). Sequence similarities with strains of other Flavobacterium species with validly published names were lower than 93.0 %. Phylogenetic analysis based on the 16S rRNA gene sequence showed that strain YC6274(T) formed a distinct phyletic lineage within the genus Flavobacterium. The predominant fatty acids of strain YC6274(T) were iso-C(15 : 0), iso-C(16 : 0), iso-C(15 : 1) G, iso-C(17 : 0) 3-OH, iso-C(16 : 0) 3-OH and iso-C(15 : 0) 3-OH. The G+C content of the genomic DNA was 32.5 mol% and the major quinone was MK-6. On the basis of phenotypic, chemotaxonomic and molecular data, it is clear that strain YC6274(T) represents a novel species within the genus Flavobacterium, for which the name Flavobacterium sasangense sp. nov. is proposed. The type strain is YC6274(T) (=KCTC 22246(T) =DSM 21067(T)).