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2nd Nommensen International Conference on Technology and engineering, NICTE 2018

作者： Santoso, Priasnyomo Prima Rilvani, Elkin Trisnawan, Ahmad Budi Adiyarta, Krisna Napitupulu, Darmawan Sutabri, Tata Rahim, Robbi Program Studi Magister Ilmu Komputer Universitas Budi Luhur Jakarta Indonesia Research Center for Quality System and Testing Technology Indonesian Institute of Sciences Banten Indonesia Fakultas Teknologi Informasi Universitas Respati Indonesia Jakarta Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Malaysia

Cryptography is a science that studies how to keep data or messages safe when sent, from sender to recipient without interference from third parties. This paper presents a comparison of cryptographic algorithms of simetris keys and asymmetric keys. Cryptographic research related journals are collected and analyzed to find the correct comparison of cryptographic algorithms to implement. The results of this study, namely: symmetric and asymmetric keys have differences in the process of encryption and decryption. There are many cryptographic algorithms that can be applied to symmetric and asymmetric keys, but the selection and use of certain algorithms cannot be said to be forever the best because they depend on the circumstances encountered in developing the applied system. © Published under licence by IOP Publishing Ltd.

关键词： Cryptography

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MODEL-BASED FOOD VOLUME ESTIMATION USING 3D POSE

MODEL-BASED FOOD VOLUME ESTIMATION USING 3D POSE

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IEEE International Conference on Image Processing

作者： Chang Xu Ye He Nitin Khanna Carol J. Boushey Edward J. Delp School of Electrical and Computer Engineering Purdue University Department of Electronics and Communication Engineering Graphic Era University Dehradun India Cancer Epidemiology Program University of Hawaii Cancer Center

ISBN: (纸本)9781479923427

We are developing a dietary assessment system to automatically identify and quantify foods and beverages consumed by analyzing meal images captured with a mobile device. After food items are segmented and identified, accurately estimating the volume of the food in the image is important for determining the nutrient content of the food. In this paper, we proposed a novel food portion size estimation method for rigid food items using a single image. First, we create a 3D graphical model during the training step using 3D reconstruction from multiple views. Then, for each food image, we determine the translation and elevation parameters of each of the food items, which are relative to the camera coordinate through camera calibration. Using these geometric parameters we project the pre-built 3D model of each food item back to the image plane. Subsequently, the remaining degrees-of-freedom (DOF) for the final pose is estimated by image similarity measure. The experimental results of our volume estimation method for four food categories validate the accuracy and reliability of our model-based approach.

关键词： dietary assessment 3D reconstruction 3D model rendering image segmentation pose estimation three-dimensional displays Food pose estimation image segmentation images Posing Imagery (Psychotherapy) image plane camera calibration Image Three Dimensions geometric parameter

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Low-Resolution Face Recognition for CCTV and Edge-Powered Smart Attendance Systems

Low-Resolution Face Recognition for CCTV and Edge-Powered Sm...

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IEEE Annual International computer Software and Applications Conference (COMPSAC)

作者： Nico Surantha Edward Yose Sani Muhamad Isa Department of Electrical Electronics and Communication Engineering Faculty of Science and Engineering Tokyo City University Tokyo Japan Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798350376968

ISBN: (纸本)9798350376975

Attendance systems have become more modern, and one of the biometric systems without physical contact is face recognition. However, many face-based attendance systems still carry out attendance individually and cannot detect multiple faces simultaneously. In addition, capturing facial data in real-time is still a challenge because the relatively large distance between the camera and the individual reduces the ability to recognize faces. The general solution is to use super-resolution to generate better-quality faces while maintaining the main facial recognition features. One technique still being researched is super-resolution generative adversarial networks (SRGAN). SRGAN can enlarge the resolution of captured images and maintain image quality sufficient for face recognition. The attendance system can be easily integrated into edge devices such as the Jetson Nano. This paper proposes automatic and effective attendance systems with the super-resolution technique to detect and recognize faces in low-resolution input. The experimental results show that using face data capture with a resolution of 40 × 40 pixels and a four-fold magnification results in a resolution of 160 × 160 pixels. Combining Face SRGAN with FaceNet architecture as the basis of face recognition can achieve an accuracy rate of 78.19% and an F1-Score of 81.13% with an average processing time of 1.61 seconds per frame on a PC and 14.55 seconds per frame on a Jetson Nano at an average of face recognition per frame of as many as up to 8 faces simultaneously.

关键词： Support vector machines Image quality Accuracy Face recognition Image edge detection Superresolution Generative adversarial networks

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Knowledge Acquisition for the Design of Flood Management Information System: Chi River Basin, Thailand

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Procedia - Social and Behavioral Sciences 2013年 73卷 109-114页

作者： Nattapong Kaewboonma Kulthida Tuamsuk Wanida Kanarkard Ph.D. Student Doctor of Philosophy program in Information Studies Khon Kaen University 40002 Thailand Information & Communication Management Program Khon Kaen University 40002 Thailand Department of Computer Engineering Khon Kaen University 40002 Thailand

Thai people living along the Chi River Basin (CRB), an important river for economic and social development of the Northeast of Thailand, have long been affected by both flood and drought. These problems have not yet been solved due to a lack of knowledge sharing between responsible organizations and researchers who are the experts on CRB to monitor and control the water condition. The knowledge owned by these experts has not been captured, classified and integrated into an information system for decision making. This paper is a part of the research on the development of knowledge-based DSS for water resources management of CRB. It aimed to develop the knowledge domain and to design knowledge-based DSS architecture. The research methods included document analysis and qualitative methods by adopting Liou (1990)’s knowledge acquisition approach. Ten experts in the areas of Environmental engineering, Water resources engineering, and GIS were interviewed. The experts also took parts in the processes of developing the knowledge domain, classifying and structuring the knowledge for flood management of *** results of this research were the knowledge domain and the knowledge-based DSS architecture. The knowledge was structured by following three processes of disaster management cycle, consisting of 9 domains of forecasting, 10 domains of response, 9 domains of recovery, 16 domains of Historical, 30 domains of GeoInformatic, and 6 domains of Government policy and land use.

关键词： Flood management knowledge domain Knowledge acquisition Knowledge organization Knowledge-based system Chi river basin Thailand

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CONTEXT BASED FOOD IMAGE ANALYSIS

CONTEXT BASED FOOD IMAGE ANALYSIS

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IEEE International Conference on Image Processing

作者： Ye He Chang Xu Nitin Khanna Carol J. Boushey Edward J. Delp School of Electrical and Computer Engineering Purdue University Department of Electronics and Communication Engineering Graphic Era University Dehradun India Cancer Epidemiology Program University of Hawaii Cancer Center

ISBN: (纸本)9781479923427

We are developing a dietary assessment system that records daily food intake through the use of food images. Recognizing food in an image is difficult due to large visual variance with respect to eating or preparation conditions. This task becomes even more challenging when different foods have similar visual appearance. In this paper we propose to incorporate two types of contextual dietary information, food co-occurrence patterns and personalized learning models, in food image analysis to reduce ambiguity in food visual appearance and improve food recognition accuracy. We evaluate our model on 1453 food images acquired by 45 participants in natural eating conditions. The result shows that incorporating contextual dietary information improves the food categorization accuracy by about 10%.

关键词： Dietary Assessment Contextual Information Food Recognition Image Segmentation Fodder Food image segmentation Food Intake image analysis images

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Sleep Monitoring Systems based on Edge Computing and Microservices Caching

Sleep Monitoring Systems based on Edge Computing and Microse...

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Artificial Intelligence of Things (AIoT), IEEE Annual Congress on

作者： Nico Surantha David Jayaatmaja Sani Muhamad Isa Faculty of Science and Engineering Department of Electrical Electronics and Communication Engineering Tokyo City University Tokyo Japan Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798350392296

ISBN: (纸本)9798350392302

The rapid development of Internet of Things (IoT) technology has enabled the widespread deployment of health monitoring systems. Traditionally, the health monitoring system has been limited by centralized processing and storage in the cloud, leading to latency issues and potential data loss. This paper introduces a smart sleep monitoring system based on edge computing, utilizing microservices architecture and caching techniques. The proposed system employs edge computing to enable data processing closer to the source, reducing latency and improving real-time monitoring capabilities. Caching is employed to reduce database load and optimize random access memory (RAM) usage. This research addresses latency and response time challenges on IoT health monitoring platforms in environments with poor network quality while optimizing database load and resource usage on Jetson Nano as the edge computing device. Using Electrocardiogram (ECG) data as input, the proposed system yields impressive performance metrics. The research results indicate that the proposed system can increase throughput by 26.92 KB/s, reduce response time by 18.8 ms, and decrease latency by 20.86 ms compared to the previous work. Message Queuing Telemetry Transport (MQTT) integration reduces CPU usage by approximately 40% and RAM usage by about 81.24%.

关键词： Cloud computing Databases Random access memory Microservice architectures Real-time systems Nanoscale devices Internet of Things

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NFT-Based Hydroponic Automated Control Using Adaptive Network-Based Fuzzy Inference System

NFT-Based Hydroponic Automated Control Using Adaptive Networ...

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Robotics, Automation and Artificial Intelligence (RAAI), IEEE International Conference on

作者： Nico Surantha Vito Vincentdo BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia Department of Electrical Faculty of Scienc and EngineeringElectronics and Communication Engineering Tokyo City University Japan

The rapid population growth and industrial development in developing countries harm the agricultural sector because many agricultural lands are converted into residential or industrial areas. Applying modern agriculture technologies such as hydroponic could help to overcome the problem. However, hydroponics requires special attention in adjusting the pH and nutrient levels to maximize plant growth, so an automated system is needed to manage the process. In this research, a smart hydroponic system is proposed by applying Adaptive Networkbased Fuzzy Inference System (ANFIS) and Internet-of-Things. The IoT system consists of sensor, actuator, and data processing layer is designed to monitor and control the condition of pH and nutrition of the observed plants. Then, the ANFIS algorithm is designed to control the level of pH and nutrition. The experiment results show that the system can automatically adjust the pH and nutrient levels to the expected range for growing plants, and the fuzzy controller made using ANFIS are more accurate and stable than the fuzzy controller made using Sugeno. This study shows that ANFIS has excellent performance when controlling multiple actuators, as long as the data set has great granularity and well defined.

关键词： Fuzzy logic Training Actuators Adaptive systems Hydroponics Media Control systems

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Double-SP Method to Enhance Privacy and Security of Smart City Applications 10

Double-SP Method to Enhance Privacy and Security of Smart Ci...

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17th INDIACom;2023 10th International Conference on Computing for Sustainable Global Development, INDIACom 2023

作者： Bahbouh, Nour Mahmoud Hakami, Abdulelah Alhussain Hassan Aljohani, Yaser Mohammed Sen, Adnan Ahmed Abi Alkhodre, Ahmad Alsughayyir, Aeshah Granada University Department of Information and Communication Sciences Granada Spain Saudi Electronic University Al-Madinah Saudi Arabia YasRef Program Yanbu Saudi Arabia Computing and Information Technology Islamic University Al-Madinah Saudi Arabia Islamic University Faculty of Computer and Information Systems Al-Madinah Saudi Arabia College of Computer Science and Engineering Taibah University Al-Madinah Saudi Arabia

ISBN: (纸本)9789380544472

Smart cities promise a lot of well-being to their users in all areas of life through millions of applications and services. Smart services rely heavily on collecting data and the preferences of users. But on the dark side, the users' information is posed to threat and penetration during transmission or stored far in the clouds. Depending on encryption only is not sufficient if the attacker has strong resources or if the attacker is the service provider (SP) itself. In addition, changing data before sending is not a practical solution in many systems because of the adverse impact on the quality of a main service. This research presented a new idea to address the issue of protection. The proposed method enhanced the privacy and security of users' data without affecting the accuracy of service. The core of the suggested solution relies on a knowledge base of services that are managed by experts. Also, the solution depends on fog nodes to measure the level of security and privacy of users' queries without delay. Moreover, the fog nodes manage contact with SPs. Finally, the proposed method divided the SP into two, one for user queries and the other for user data. The simulation and analytical discussion on a practical case in smart cities demonstrated the superiority of the proposed approach over previous methods in the level of protection by maintaining the quality of services, and the resistance to attacks. © 2023 Bharati Vidyapeeth, New Delhi.

关键词： Fog

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Experimental reconstruction of time-bin-entangled qutrit states using polarization projective measurements

Experimental reconstruction of time-bin-entangled qutrit sta...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Samantha J. Nowierski Neal N. Oza Prem Kumar Gregory S. Kanter Department of Electrical Engineering and Computer Science Center for Photonic Communication and Computing Evanston IL USA Applied Physics Program Northwestern University Evanston IL USA

We generate and reconstruct two-photon, 100-ps-separated time-bin-entangled qutrit states. By pairwise mapping time bins onto orthogonal polarizations, we perform a tomography and demonstrate high fidelity to maximall... 详细信息

关键词： Photonics Quantum entanglement Optical switches Optical polarization Optical pumping Optical pulses

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An approach for robust SISO adaptive control

Mediterranean Journal of Measurement and Control

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Mediterranean Journal of Measurement and Control 2006年第4期2卷 186-193页

作者： Tahoun, Ali Husin Abouelsoud, Ahmed Ali Mahmoud, Magdi Sadek Hassan, Mohamed F. Fahmy, M.M. Computer and Control Department Faculty of Engineering Tanta University Tanta Egypt Electronic and Communication Department Faculty of Engineering Cairo University Giza Egypt Graduate Studies Program Cairo University Giza Egypt Hust University China

In this paper, we develop an approach for robust model reference adaptive control of continuous-time SISO linear dynamical systems in the presence of output disturbance. In comparison with earlier approaches in the literature, the proposed approach is advantageous in that the two assumptions of knowing an upper bound of the disturbance and knowing the high frequency gain of the system are omitted altogether. The development of the approach relies heavily on Lyapunov's stability criterion and the dead-zone technique. The applicability of the approach is demonstrated in a practical numerical example of a ship steering adaptive system subject to wave disturbance. Copyright © 2006 SoftMotor Ltd.

关键词： Adaptive control systems

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