Search Results - spatial information based location framework

The geostatistical approach for structural and stratigraphic framework analysis of offshore NW Bonaparte Basin, Australia by Ali Wahid, Ahmed Mohamed Ahmed Salim, Gamal Ragab Gaafar, Wan Is, .

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Integration between location based service (LBS) and online analytical processing (OLAP): semantic approach by Halim, A.H.A., Ismail, M.A., Ravana, S.D.

“…Location Based Service (LBS) LBS are mobile service that has the capability to provide real time information basedon the user's location. …”
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Linear Regression Approach for Porosity and Permeability Calculations from Well Logs: A Case Study in NW Bonaparte Basin, Australia by Ahmed Mohamed Ahmed Salim, Osama Akhtar Janjua, Ali Wahid, Aruba, .

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A framework for processing skyline queries for a group of mobile users by Babanejad Dehaki, Ghonched, Ibrahim, Hamidah, Udzir, Nur Izura, Sidi, Fatimah, Alwan, Ali Amer

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Development of a web-geographical information system application for plotting tuberculosis cases by Nur Adibah Mohidem, Malina Osman, Farrah Melissa Muharam, Saliza Mohd Elias, Rafiza Shaharudin, Zailina Hashim

Framework for Recreational Park Suitability Sites by Lawal, Dano Umar, Matori, A.N, Chandio, Imtiaz Ahmed, Balogun, Abdul-Lateef

“…The proposed conceptual framework will provide a holistic guidance on how the criteria for the location of the suitable recreational park in the study area can be generated through extensive literature review and field survey. …”
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Web based system for tanah Perkuburan Islam Taman Uda, Alor Setar, Kedah / Nurul Fatin Nurjeha Hussin by Hussin, Nurul Fatin Nurjeha

“…All of these can be demonstrated through the use of a web-based technology system capable of integrating with Google Maps to display the actual location of the funeral so grave map can be plotted accurately with perfect detail of information. …”
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The integration of 3D GIS and virtual technology in the design and development of GIS-based residential property marketing information / Siti Aekbal Salleh by Salleh, Siti Aekbal

“…Decades ago property information such as location-based data were recorded and displayed on thousands of maps. …”
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Development of geospatial model for tuberculosis prediction in Gombak, Selangor, Malaysia by Mohidem, Nur Adibah

“…This could be attributed to the overcrowding of inmates in the Sungai Buloh prison located there. The GWR model based on the environmental factor (GWR2) was the best model to determine the spatial distribution of TB cases based on the highest values of R2 i.e. 0.98 and local R2 > 0.70, which consisted of 2006 cases of TB. …”
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Deep learning approach for automated geospatial data collection by Al-Azizi, Jalal Ibrahim

“…For some selected classes, a customized data set and a prototype framework "DeepAutoMapping" have been built. "DeepAutoMapping" was developed on the basis of convolutional neural networks inspired by recent rapid advancements in deep learning literature to detect, locate and recognize four main street objects (trees, street light poles, traffic signs, and palms) based on a defined object detection dataset. …”
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GIS - based land suitability analysis using AHP for public parks planning in Kota Bharu, Kelantan / Khalilah Hassan, Izrahayu Che Hashim and Siti Syamimi Omar by Khalilah, Hassan, Izrahayu, Che Hashim, Siti Syamimi, Omar

“…Hence, based on the analysis and findings made in this research, finding suitable locations using the land suitability model for future park development is highly helpful. …”
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A Framework for Green Energy Resources Identification and Integration Supported by Real-Time Monitoring, Control, and Automation Applications by Far Chen, Jong

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Modified recency-frequency-monetary model for determining feeder schools as geomarketing promotional target in Indonesia by Ernawati

“…Therefore, this study includes geographic information. Besides, only a small amount of research, especially in the education field, has combined RFM model with geographic information and analyzed it spatially. …”
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SwinUNeLCsT: Global–local spatial representation learning with hybrid CNN–transformer for efficient tuberculosis lung cavity weakly supervised semantic segmentation by Zhuoyi, Tan, Hizmawati, Madzin, Bahari, Norafida, Rahmita, Wirza OK Rahmat, Fatimah, Khalid, Puteri, Suhaiza Sulaiman

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Statistical Approach for Image Retrieval by Khor, Siak Wang

“…In this thesis, a novel method based on the modified generic framework of CBIR is proposed. …”
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SwinUNeLCsT: Global–local spatial representation learning with hybrid CNN–transformer for efficient tuberculosis lung cavity weakly supervised semantic segmentation by Tan, Zhuoyi, Madzin, Hizmawati, Norafida, Bahari, Ok Rahmat, Rahmita Wirza, Khalid, Fatimah, Sulaiman, Puteri Suhaiza

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Moving objects database for GIS-based emergency response system by Habibi, Ridlwan

“…In this research, we use vector-based tracking to estimate the current location of the moving object. …”
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Passive client-centric rogue access point detection framework for WiFi hotspots by Ahmad, Nazrul Muhaimin

“…The proliferation of Wi-Fi hotspots in public places provides seamless Internet connectivity anywhere at any time to the wireless clients.Although many hotspots are often unprotected,unmanaged and unencrypted,this does not prevent the clients from actively connecting to the network.The underlying problem is that the network Access Point (AP) is always trusted.The adversary can impersonate a legitimate AP by setting up a rogue AP to commit espionage and to launch evil-twin attack,session hijacking,and eavesdropping.To aggravate the threats, existing detection solutions are ill-equipped to safeguard the client against rogue AP.Infrastructure- centric solutions are heavily relied on the deployment of sensors or centralized server for rogue AP detection, which are limited,expensive and rarely to be implemented in hotspots.Even though client-centric solutions offer threat-aware protection for the client,but the dependency of the existing solutions on the spoofable contextual network information and the necessity to be associated with the network makes those solutions are not viable for the hotspot’s client.Hence,this work proposes a framework of passive client-centric rogue AP detection for hotspots.Unlike existing solutions,the key idea is to piggyback AP-specific and network-specific information in IEEE 802.11 beacon frame that enables the client to perform the detection without authentication and association to any AP.Based on the spatial fingerprints included in the broadcasted information from the APs in the vicinity of the client,this work discloses a novel concept that enables the rogue AP detection via the client’s ability to self-colocalize and self-validate its own position in the hotspot.The legitimacy of the APs in the hotspot,in this view,lies in the fact that the correct matching between the Received Signal Strength Indicator (RSSI) measurements at the client and pre-recorded fingerprints is attainable when the beacons are transmitted only from the legitimate APs.Hence,any anomalousness in AP’s beacon frame or any attempt to replay the legitimate AP’s beacon frame from different location can be detected and classified as rogue AP threats.Through experiments in real environment,the results demonstrate that with proper algorithm selection and parameters tuning,the rogue AP detection framework can achieve over 90% detection accuracy in classifying the absence and presence of rogue AP threats in the hotspot.…”
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A decision framework for potential dam site selection using GIS, MIF and TOPSIS in Ulhas river basin, India by Rane N.L., Achari A., Choudhary S.P., Mallick S.K., Pande C.B., Srivastava A., Moharir K.N.

Estimation of the energy consumption of battery driven electric buses by integrating digital elevation and longitudinal dynamic models: Malaysia as a case study by Saadon Al-Ogaili A., Ramasamy A., Juhana Tengku Hashim T., Al-Masri A.N., Hoon Y., Neamah Jebur M., Verayiah R., Marsadek M.