Location Map Research Articles

Entertainment Authority Mobile Application Saudi Arabia: Smart Station

Bus service is considered as one of the major public transportations used by the people. Especially in the areas that have many people such as festivals. Nowadays, there are many events and festivals are going on in Jeddah city. Moreover, there is a huge need to the bus services during the Jeddah season. At the same time, this service has many difficulties faced visitors and bus drivers, such as: lack of information about the bus (location of a bus in real-time, status of a bus: empty or full), and lack of information about the bus stations. Moreover, and based on real experiment during Jeddah’s season waiting in the bus station is a frustrating process. Therefore, this paper proposed a mobile application on google play that facilitates the transportation between the event’s areas by seeing the bus location map and the number of empty passenger seats. The application also serves the bus driver, by clarifying if there is someone at the bus station or not so the driver can decide to move to the next station or stop in the station. A sensor device and LCD screen are used to help in the counting process.There are many goals of the proposed project the main goal is to make an application that serves a large segment of society during the festival seasons of the Saudi Entertainment Authority especially in transportation: i) organizes and facilitates transportation in the Jeddah season for entertainment, ii) save visitor’s time and reduce traffic by tracking the bus location, knowing distance between the user and bus, and the number of bus passengers, and iii) easy and simple user interface for easy use. To evaluate the proposed application many tests and evaluation tools have been used and prove the effectiveness of the application.

An end-to-end pollution analysis and detection system using artificial intelligence and object detection algorithms

Environmental pollution is generally a by-product of various human activities. Researchers have studied the dangers and harmful effects of pollutants and environmental pollution for centuries, and many necessary steps have been taken. Modern solutions are being constantly developed to tackle these issues efficiently. Visual pollution analysis and detection is a relatively less studied subject, even though it significantly impacts our daily lives. Building automatic pollution or pollutants detection systems has become increasingly popular due to the modern development of advanced artificial intelligence systems. Although some advances have been made, automated pollution detection is not well-researched or fully understood. This study demonstrates how various object detection models could identify such environmental pollutants and how end-to-end applications can analyze the findings. We trained our dataset on three popular object detection models, YOLOv5, Faster R-CNN (Region-based Convolutional Neural Network), and EfficientDet, and compared their performances. The best Mean Average Precision (mAP) score of 0.85 was achieved by the You Only Look Once (YOLOv5) model using its inbuilt augmentation techniques. Then we built a minimal Android application, using which volunteers or authorities could capture and send images along with their Global Positioning System (GPS) coordinates that might contain visual pollutants. These images and coordinates are stored in the cloud and later used by our local server. The local server utilizes the best-trained visual pollution detection model. It generates heat maps of particular locations, visualizing the condition of visual pollution based on the data stored in the cloud. Along with the heat map, our analysis system provides visual analytics like bar charts and pie charts to summarize a region’s condition. In addition, we used Active Learning and Incremental Learning methods to utilize the newly collected dataset by building a semi-autonomous annotation and model upgrading system. This also addresses the data scarcity problem associated with further research on visual pollution.

Anatomical predictors of need for decompressive craniectomy after stroke using voxel-based lesion symptom mapping.

Malignant cerebral edema (MCE) secondary to ischemic stroke is a highly morbid condition. Decompressive craniectomy (DC) is the only treatment for MCE that has been shown to reduce mortality. We examined whether early infarction and/or hypoperfusion in specific topographic regions was predictive of the need for later DC. A retrospective database of patients evaluated for large vessel occlusion (LVO) stroke at Stanford between 2010 and 2019 was used. Thirty patients with LVO and baseline perfusion MRI who underwent DC were evaluated. Propensity matching based on age, lesion size, and recanalization status was performed on the remaining cohort. Baseline masks of apparent diffusion coefficient (ADC)+Tmax >6seconds lesions were generated using automated perfusion software. Voxel-based lesion symptom maping was used to perform logistic regression at each voxel to generate statistical maps of lesion location associated with DC. Hemispheres were combined to increase statistical power. Sixty patients were analyzed. After adjusting for age, lesion size, and recanalization status as covariates, scattered cortical regions, predominately within the temporal and frontal lobe, were mildly to moderately predictive of the need for DC (z-scores: 2.4-6.74, p<.01). Scattered temporal and frontal lobe regions on baseline diffusion and perfusion MRI were found to be mildly to moderately predictive of the need for subsequent DC in patients with LVO stroke.

SISTEM INFORMASI GEOGRAFI FASILITAS MASJID DI KELURAHAN JAKASAMPURNA, BEKASI BARAT

Geographic Information Systems (GIS) have become an important tool in the management of spatial information in various fields, including religion and belief. Regarding Islamic places of worship, mosques have a central role as centers of worship, community activities, and social. With the increasing role of geospatial technology, the application of GIS in the management and mapping of mosque locations has become an interesting and relevant research area. This abstract discusses the use of GIS technology in the management and mapping of mosque locations. The author outlines how geospatial technology has been used to collect, integrate, and analyze mosque-related data, such as the mosque's geographic location, existing facilities, and other related data. The purpose of this writing is to build a Geographic Information System that can convey information in the form of locations and facilities in the Jakasampurna area mosque.In addition, this paper also considers the benefits of implementing GIS in mosque management and mapping, including management efficiency, community needs analysis, and sustainable development planning.

Fisheries products traceability using batch code

The importance of product quality and food safety for consumers would be reached by apply traceability product. Indonesia's geographical archipelago has long supply chain of fisheries which cause all supply chain data getting difficult to trace from upstream to end of consumer. The problem of this research is how to apply traceability of seafood products from their origin through to end customer by using traceability system. The method used is apply batch code identifier to represent vessel information, catch data, and landing site. System applies automatic detection of landing site coordinates using global positioning system, and along with batch code stored to cloud server. The batch code moved along with the fish movement in each supply chain. Once fish received by processors, system get access cloud server to get proper batch code. Finally, each product is labeled with QR Code containing product information and batch code. While products sent to customers, label scanned and system provide fish origin information and show the maps of the vessel landing location. The testing results shows label can be scanned at maximum distance of 40 cm in dry surface and flat and curved position, and at a maximum distance of 25 cm in flat position, wet and frozen conditions. Label can be scanned at maximum distance 20 cm in a curved position and wet and frozen conditions.

An Improvemant of the IGEPVO-k Reversible Data Hiding Method

PVO-K method is an expansion of PVO method in which all ???? largest (???? smallest pixels) are used as a single unitto embed a bit. In PVOK-method, each pixel of an original image is modified by one at most. GePVO-K method is again a development of the PVOK-method by embedding k bits in k largest pixels and ???? bits in ???? smallest pixels. However, this method has two drawbacks. First, each pixel of the original image is changed by two at most, so marked image quality is not good. Second, the location map consisting of two bits for each pixel is so large that in some cases compression code length of the map is greater method’s embedding capacity, and then data embedding capacity is zero. Both drawbacks are overcome in the iGePVO-K method. Specifically, in this method, each pixel only is changed by one at most and the two-bit location map as in iGePVO-K method is replaced bya one-bit map and a sequence of binary flags. This paper is a development of the iGePVO-K method by discarding the sequence of binary flags. That means it is not necessary to embed flags with the data in the original image. Therefore, the proposed method not only has a larger data embedding capacity but also has a better image quality than the methods mentioned above.

Water and Geological Assessment in the Micro-Watersheds of the Alkaline Rocks of Tanguá and Soarinho in Rio de Janeiro State

Alkaline bodies of Tanguá and Soarinho in Rio de Janeiro present drainage areas that form the sources of the Soarinho and Caceribu Rivers. Due to its water and geological importance, we sought to investigate the relation between alkaline rocks and water bodies and the possible consequences of mining activity, as well as the use and occupation of land in water quality. Initially, the magnetometric profile was traced to confirm whether the locations selected for sample collection were located in the alkaline region. Then, water and sediment collections were carried out from the bed at three points on the Soarinho River and one point on the Caceribu River, all inserted in the drainages of the Soarinho and Tanguá alkaline massifs. Parameters necessary to calculate the Water Quality Index (WQI) and those related to contamination by mining activities were analyzed. Chemical analysis of the bed material sought to identify the deposition of contaminants. The context of alkaline rock interaction and water influence is confirmed through geophysical and lithogeochemical techniques through location maps and comparative results of bed material and direct samples of alkaline rocks that showed similar constitutions. In general, the WQI presented a median result, meeting the main requirements for appropriate water for conventional treatment aimed at public supply, and no indicators of contamination by mining activities were found, however, at point P3, representative of the headwaters of the Soarinho River, there were significant changes in BOD and fecal coliforms indicating direct discharge of domestic sewage in a nearby location. The results of the analyzes downstream of this point demonstrate the water bodies dilution capacity.

The Possibility of Using Terrestrial-Based Ground Penetrating Radar (GPR) Technology for Supplying 3rd Dimension Information for A Search and Recovery Mission for Landslide Victims

This paper highlights the possibility of using GPR for providing third-dimension (depth) information to facilitate a landslide search and recovery (SAR) mission in Malaysia. The study was based on an actual use case during the 2022 landslide tragedy that occurred at the Father’s Organic Farm, Batang Kali. Two sets of MALA RAMAC X3M with shielded antennas (250Mhz and 500 Mhz) were used to survey a 1m x 1m profile interval at a 30m x 20m and 8m x 6m grid areas in Sector B on the 18th and 19th December 2022. Grid line profiles 2211-A, 2212-A, and 2213-A detected by the 250Mhz antenna showed suspicious reflection patterns. The pattern's amplitude contrast in relation to the soil background and the consistency with the average Malaysian adult stature were considered as the most likely locations of landslide victims. The location of the reflection was viewed with greater accuracy and clarity utilising time slice y-cut on 3D processing in the Reflex3DScan ReflexW module. On 21st December 2022, a victim and his two dogs were recovered by the SAR team near the suspected GPR line profiles at sector B. The suspected GPR signal reflection corroborated with the proximity where the victim was found according to the special SAR victim location map published by authorities. Since access to ground zero post excavation was restricted, on-site validation of the suspected profiles was not possible. Nonetheless, because hyperbolas were detectable at lower frequency with the maximum depth of around 8m, this paper concludes that using terrestrial-based GPR as a search and recovery alternative for buried landslide victims is still feasible. The challenge would be having a skilled operator to detect a hyperbola or abnormality in a time-critical scenario. The study also concluded that terrestrial-based GPR would, at the very least, provide first responders with situational awareness by narrowing down the SAR potential locations, excavation depths and reducing time for searching and recovering victims, as concurred by the Batang Kali SAR team. Article Details How to Cite Halim, N., Abdullah, N., Ghazali, M., &amp; Hassan, H. (2023). The Possibility of Using Terrestrial-Based Ground Penetrating Radar (GPR) Technology for Supplying 3rd Dimension Information for A Search and Recovery Mission for Landslide Victims. International Journal of Geoinformatics, 19(5). https://doi.org/10.52939/ijg.v19i5.2669

ANALYSIS OF TRAFFIC ACCIDENTS ON RAYA PELTONG ROAD – ARTODUNG PAMEKASAN DISTRICT

The Peltong-Artodung Highway, Pamekasan Regency has a high accident rate, a length of ± 2 km, and an effective road width of ± 6 m which is an area that has enough potential for the movement of traffic flow because it is a connecting road between Pamekasan City and Sumenep City, along the way there are also offices, schools, markets, shops, and residential areas. This analysis was conducted to determine the causal factors that influence the occurrence of traffic accidents. The data needed in this analysis consists of primary data and secondary data. Primary data consists of street names, number of lanes, lane widths, and LHR obtained from direct survey results in the field. The secondary data needed is a map of the research location, and data on traffic accidents. The data obtained is then analyzed by classifying accidents based on the factors that cause traffic accidents. The main factor in traffic accidents on Jalan Raya Pelting-Artodung (Jl. Lintas Pamekasan-Sumenep) is human beings, the age of the most traffic accident victims is 16-30 years old, the largest number of accidents occur at 06.00 to 20.00 as many as 63 .44% which is rush hour and the work of the accident perpetrators is dominated by men. Efforts that can be made to reduce the number of accidents on Jalan Raya Peltong-Artodung (Jl. Lintas Pamekasan-Sumenep), namely: providing traffic education and strict sanctions for road users who violate traffic rules and the installation of signs must be by Decree of the Minister of Transportation No. 61 of 1993 concerning Traffic Signs. Keywords: Peltong-Artodung Highway; Accident Characteristics; Victims.

Exploring the Environmental Tourism Potentials in Mubi Town, Adamawa State Nigeria

The study aims to assess the environmental tourism potentials of Mubi Town Adamawa state, Nigeria with the view to make recommendations. The study employed both spatial and quantitative data. The spatial data involves the geographical information system Arc GIS 10.3, and remote sensing used for location map generation. The quantitative data was generated from one hundred structured questionnaires administered to the sampled populations. A systematic random sampling technique was employed for the questionnaire administration. This is because it allows all individual members to be chosen for the administration. Observation and photographing were conducted as part of the data collection. Descriptive statistics were utilized for correlating Environmental Tourism Potential (ETP) and Physical Tourism Potential (PTP). The correlation analysis between Environmental Tourism Potentials (ETP) indicates a strong correlation indicated a significant perfect and positive correlation of 0.01 at 2 Tailed. Additionally, the respondents' perceptions regarding the environmental tourism potentials were ranked according to a score point to get the results of the prioritized environmental tourism products. The findings demonstrate that the mountains and the hills give a good scenario as the first in the raking; good and conducive weather conditions as the second. At the same time, the attractive natural landscape is the third. Conclusively, if the potentials are appropriately planned, developed, and managed, it will attract both local and foreign tourists to come to Mubi town. Two recommendations are proposed development plan preparation and preservation and conservation of the identified environmental tourism potentials.

Analysis of Air Pollution Distribution in West Pasaman Regency Effects of Palm Oil Mills

The purpose of this research was to identify sources of pollution and analyze the level of pollution for the parameters of TSP (Dust), particulates, NO2, and SO2 and to map their distribution. The research was conducted at 9 (nine) palm oil mills spread throughout West Pasaman Regency. The data used are primary and secondary data. The primary data includes particulates, TSP, SO2, and NO2 gases. Secondary data consists of test results data at the Environmental Service in 2017, morphological data, and factory location maps. Data processing methods include statistical analysis of Shapiro Wilk. Then proceed with descriptive analysis to determine the characteristics of the range of minimum and maximum values of air pollution distribution. Spatial analysis of the overlay type was carried out using a GIS application. Particulate, TSP, NO2 and SO2 test results at each location have met the required air quality standards. mapping the distribution of air pollutants for the parameters TSP (Dust), NO2 and SO2 with the direction of their spread according to the wind direction. Comparison with the latest regulations, namely PP Number 22 of 2021 Appendix VII, shows that the test results are still below the set quality standards. With the test values obtained and the meteorological factors in each company, it shows that there is no significant effect of pollutant content from sources of pollution on the environment around the palm oil mills.

WATER LEVEL PROFILE IN PARIT BERKAT DRAINAGE CHANNEL OF PUNGGUR BESAR

Floods are common natural catastrophes in Indonesia, particularly during the rainy season. The Parit Berkat water catchment region is one of the locations that frequently experience flooding. The channel's capacity must be increased to accommodate the current water discharge, resulting in this condition. Several reasons are responsible for the diminished capacity of the canal. For instance, inhabitants' activities along canal banks might contribute to the siltation of channels. This research aimed to evaluate the influence of tides and rainfall on the flow of the Parit Berkat Canal. This research provided the use of both primary and secondary data. The leading information consists of measurements of the cross-section and length of the channel and the elevation of the tidal water level over 15 days. Secondary data consists of the maximum daily rainfall data received from Balai Wilayah Sungai Kalimantan I (BWSK I) and the location map for the research. The flow profile is simulated using HEC-RAS. The findings demonstrate that when maximum rainfall and low tides coincide, 13 stations are safe in the 2-year return period of rain, eight stations are safe in the 5-year return period, and six stations are safe in the 10-year return period.

Landuse, landcover change dynamics and flooding in the lower Niger basin Onitsha, South Eastern Nigeria

This study looked at the factors contributing to Onitsha's incessant flooding, specifically landuse and land cover depletion. The landuse/landcover changes during a period of ten years (2008 – 2018) and the relevant variables were studied in the lower Niger Basin, focusing on Onitsha, Anambra State. Three sets of Enhanced Thematic Mapper Plus (ETM+) Landsat imagery maps from 2008, 2013, and 2018 were used to construct three Geographic Information Systems (GIS) based landuse/landcover maps of the research location and cross-tabulation method was adopted for the Change Detection analysis. The results demonstrated that between 2008 and 2013, built-up areas expanded by 9.4%, and between 2013 and 2018, they increased by 9.4%. Then it grew by 5.5%, resulting in a total area of 470 ha and 275 ha. Then, between 2008 and 2018, built-up added 745 ha in the study region, whereas vegetation lost 638 ha between 2008 and 2013, and another 97 ha between 2013 and 2018, for a total loss of 735 ha. Between 2008 and 2013, the area of bare ground increased by 1.3%, to 65 ha, while between 2013 and 2018, the area of bare ground decreased by 0.3%, to 15 ha. This study also discovered a 40-hectare rise in waterbody between 2008 and 2013 and a 100-hectare loss between 2013 and 2018. Based on the findings, the changes in landuse/landcover change detection provided insight into non-compliance with existing landuse acts and the implementation strategies of government agencies enforcing them.

Analysis of the K-Means Algorithm for Clustering School Participation Rates in Central Java

One indication of the development of educational services in Indonesia is the School Enrollment Rate (SER). Higher the rate of enrolment, the better a location offers access to training. The dataset source was collected from the Central Java Statistical Agency website. The analysis object is the percentage of SERs for ages 7-12 years, 13-15 years, and 16-18 years in the Central Java region during 2017-2019. In the Central Java province, the aim of which is the third largest province after West Java and East Java, was to analyze the level of school participation as mapped. The created research product is a mapping of locations in the District and City areas in the form of clusters. The solution is the clustering algorithm k-means. In this study, there were two groups: high (C1) and low. The clusters were separated into (C2). Cluster-mapping studies results for the years 7-12 were, that in a high cluster, 24 provinces (cluster 0) and 11 provinces (cluster 1) were in a lower cluster, whereas the 13-15-year-old cluster mapping results from 23 provinces (cluster 0) and 12 provinces (cluster 1) and the 16-18-year-old cluster mapping results from 15 provinces. Final centroid value is the basis for the determination of the clusters where the final centroid value for a cluster aged 7-12 years were high (cluster 0) {99.81, 99.87, 99.75} and low (cluster 1) {99.73, 99.43, 99.25}, whereas the final centroid value of a cluster aged 13-15 years was high (cluster 0). For all age categories, the mapping findings reveal a good proportion, that is, over 50% in the top class. In particular, 24 provinces (57%) were in the low cluster of the 16-18-year age group. Research results information can provide a macro-image of the level of SER development in recent years.&#x0D; Keywords: K-Means, algorithm, clustering

Syntrichia lithophila, a fantastic new amphitropical disjunct from Oregon, United States

Syntrichia lithophila (Dusén) Ochyra & R.H.Zander is reported for the first time from the northern hemisphere from Oregon, U.S.A., based on specimens collected during a project to better understand the bryoflora of eastern Oregon. This species represents a new amphitropical disjunct moss species to the Americas. We provide a full description of the species, photographs, and location map of the new Oregon specimen.

Mapping and statistical analysis of filaments locations in amorphous HfO2 ReRAM cells

Two optical inspection techniques, Photon Emission Microscopy (PEM) and Optical Beam Induced Resistance Change (OBIRCH) laser stimulation, are used to study the forming and to map the locations of filaments in amorphous HfO2 Resistive Random-Access Memory (ReRAM) cells. The low voltage sensitivity of OBIRCH is used to investigate filament pre-forming while the high frame rate of a Silicon Intensified Charge-Coupled Device (SI-CCD) is used to dynamically study the filament after the initial forming. A Spatial Clustering Model (SCM) is developed to explain the non-Poisson spatial distribution of individual filaments measured from multiple cells of the same size.

A Finite State Machine-Based Improved Cryptographic Technique

With the advent of several new means of communication, safeguarding the confidentiality of messages has become more crucial. Financial institutions, virtual currencies, and government organizations are all examples of high-risk contexts where information exchanges need particular care. The importance of data security in preventing unauthorized access to data is emphasized. Several cryptographic methods for protecting the secrecy and integrity of data were compared. In this research, the proposed work includes a new Turbo Code-based encryption algorithm. The Turbo encoder’s puncturing process is controlled by a secret key, and a typical random sequence is generated to encrypt the data and fix any mistakes. Key generation utilizing pre-existing data eliminates the requirement for sending keys over a secure channel. Using recurrence relations and the Lower–Upper (LU) decomposition method, the presented study suggests a novel approach to message encryption and decryption. The resulting encrypted grayscale image has a very high level of security, with an entropy of 7.999, a variation from perfection of 0.0245, and a correlation of 0.0092 along the diagonal, 0.0009 along the horizontal, and −0.0015 along the vertical. Directly decrypted pictures have a Peak Signal-to-Noise Ratio (PSNR) of 56.22 dB, but the suggested approach only manages an embedding capacity of 0.5 bpp (bits per pixel). This may be achieved by decreasing the size of the location map by only 0.02 bpp.

Dynamic Information-Hiding Method with High Capacity Based on Image Interpolating and Bit Flipping.

In this era of rapid information exchange in public networks, there is a risk to information security. Data hiding is an important technique for privacy protection. Image interpolation is an important data-hiding technique in image processing. This study proposed a method called neighbor mean interpolation by neighboring pixels (NMINP) that calculates a cover image pixel by neighbor mean interpolation and neighboring pixels. To reduce image distortion, NMINP limits the number of bits when embedding secret data, making NMINP have a higher hiding capacity and peak signal-to-noise ratio (PSNR) than other methods. Furthermore, in some cases, the secret data are flipped, and the flipped data are treated in ones' complement format. A location map is not needed in the proposed method. Experimental results comparing NMINP with other state-of-the-art methods show that NMINP improves the hiding capacity by more than 20% and PSNR by 8%.

Pengembangan Aplikasi Pencarian Rumah Kos Dengan Metode Scrum Dalam Rangka Digitalisasi UMKM Di Desa Popalia

&#x0D; &#x0D; &#x0D; The Covid-19 pandemic has also had an impact on UMKM. Boarding house businesses are included in UMKM which are located in school or campus areas. As a result of the pandemic, many boarding house businesses around campus have been abandoned because of the WFH and SFH policies. After 2 years, now schools and campuses have started to be active again. These conditions can revive the boarding house business around the USN Kolaka campus in Popalia Village. Based on the results of observations and interviews with students and boarding house owners, problems were found in efforts to revive the post- pandemic boarding house business, including: 1) students as the target consumer had difficulty obtaining boarding house information; 2) there is no info on the location map of the boarding house; 3) boarding house owners still use manual methods to promote their boarding houses. From these problems, it is necessary to digitize boarding houses, one of which is by making applications that can provide clear and up-to-date information. This study aims to develop a boarding house search application using the scrum method. The results of this study succeeded in making the popakos.com application according to user needs with a processing time of 54 days.&#x0D; &#x0D; &#x0D;

Visualization of the Distribution of PFOS and PFHxS in Concrete by DESI MSI

Firefighting training grounds (FTGs) may serve as a potential secondary source for the release of per- and polyfluoroalkyl substances (PFAS) due to historic use of aqueous film-forming foams (AFFFs). Understanding the heterogenicity and vertical distribution of PFAS in AFFF-impacted concrete is important for risk management and potential remediation. This study assessed whether desorption electrospray ionization mass spectrometry imaging (DESI MSI) can be used to analyze PFAS in a concrete core from an AFFF-impacted FTG to provide the vertical distribution of PFAS. PFOS and PFHxS were detected and observed to be distributed in the core mapped by DESI MSI in a manner consistent with data obtained using a conventional method of drilling samples along the depth of a concrete core (i.e., core sidewall drilling) followed by extraction into methanol and analysis by liquid chromatography mass spectrometry. Visualization by DESI MSI provided the mass distribution in greater detail at a resolution of 30–200 μm pixel size. DESI can provide location mapping at PFAS concentrations of >2.7 pg/mm2 (PFHxS) and 3.6 pg/mm2 (PFOS) with a spatial resolution much greater than that of the previously used core sidewall drilling method.