Selection of Wavelet Subbands Using Genetic Algorithm for Face Recognition

Abstract. In this paper, a novel representation called the subband face is proposed for face recognition. The subband face is generated from selected subbands obtained using wavelet decomposition of the original face image. It is surmised that certain subbands contain information that is more significant for discriminating faces than other subbands. The problem of subband selection is cast as a combinatorial optimization problem and genetic algorithm (GA) is used to find the optimum subband combination by maximizing Fisher ratio of the training features. The performance of the GA selected subband face is evaluated using three face databases and compared with other wavelet-based representations.

Event triggered intelligent video recording system using MS-SSIM for smart home security

This paper presents an intelligent system for event-triggered video recording for smart home applications. Video recording is triggered through a collaborative sensing strategy. PIR motion detectors are used for both directing the master wireless IP-camera for recording in a specific direction in the entrance hall or initiating other wireless IP-cameras for recording inside the rooms. An activated wireless camera starts video recording only during a targeted motion interval. Motion detection for initiation of the recording process is based on an enhanced Multi-Scale Structural Similarity detection technique. RFID tags are used in all rooms to identify persons entering these rooms. When the moving object shifts to another location at home, the local PIR sends a signal to the Gateway which initiates another video camera. Sensors collaborate for identification of the area to be monitored and the events which are to be recorded. The proposed system helps cover all smart home areas, save the required storage space and speeds-up video event analysis. Keywords: Smart homes, Multi-modal collaborative sensing, Intelligent video recording, Event-triggered recording, Motion detection, Structural similarity inde

STATEFUL LAYERED CHAIN MODEL TO IMPROVE THE SCALABILITY OF BITCOIN

Bitcoin becomes the focus of scientific research in the modern era. Blockchain is the underlying technology of Bitcoin because of its decentralization, transparency, trust-less, and immutability features. However, blockchain can be considered the cause of Bitcoin scalability issues, especially storage. Nodes in the Bitcoin network need to store the full blockchain to validate transactions. Over time, the blockchain size will be bulky. So, the full nodes will prefer to leave the network. This leads to the blockchain being centralized and trusted, and the security will be adversely affected. This paper proposes a Stateful Layered Chain Model based on storing accounts' balances to reduce the Bitcoin blockchain size. This model changes the structure of the traditional blockchain from blocks to layers. The experimental results demonstrated that the proposed model reduces the blockchain size by about 50.6 %. Implicitly, the transaction throughput can also be doubled. [JJCIT 2023; 9(2.000): 137-153

Multi-scale structural similarity index for motion detection

The most recent approach for measuring the image quality is the structural similarity index (SSI). This paper presents a novel algorithm based on the multi-scale structural similarity index for motion detection (MS-SSIM) in videos. The MS-SSIM approach is based on modeling of image luminance, contrast and structure at multiple scales. The MS-SSIM has resulted in much better performance than the single scale SSI approach but at the cost of relatively lower processing speed. The major advantages of the presented algorithm are both: the higher detection accuracy and the quasi real-time processing speed

Geological and Tectonic Setting of Andesitic Rock in Central Eastern Desert, Egypt

Objective. e current study aims to detect the geologic features, geochemical characteristics and tectonic setting of the investigated rock using eld observations and geochemical analyses. Research methods. is work contains both eld work (Collection samples and drawing of a new geological map) and laboratory work (preparation of thin sections for petrographic studies by polarizing microscope), X-ray Fluorescence analysis (XRF) in Institute of Biology, Southern Federal University and Mass-Spectrometer with Inductively Coupled Plasma (ICPMS) at the central Laboratory of Russian Geological Institute. Result. Investigated andesitic rock belongs to Dokhan volcanic that located in the Central Eastern Desert of Egypt a long Qena-Safaga Road. It is considered as one of the most important shear zones in Eastern Desert that includes distinctive rocks and economic mineral deposits. e investigated rock belongs to late to post tectonic magmatism of the East African Orogeny (EAO). Petrographically: Dokhan volcanic is represented by andesite according to petrographical studies. It consists of plagioclase, quartz, in addition to ma c minerals. Geochemically, the investigated andesite samples plotted in calk-alkaline nature. Conclusion. Tectonically, andesite samples fall in arc lava and continental elds. ey are enriched in Ba, Sr, Rb, K, Nb and Ce with marked depletion in the most HFSEs like those of island arc calc-alkaline series.Цель. Настоящее исследование направлено на выявление геологических особенностей, геохимических характеристик и тектонических условий исследуемой породы с помощью полевых наблюдений и геохимического анализа. Методы исследования включают в себя как полевые (сбор образцов и составление новой геологической карты), так и лабораторные работы (подготовка тонких разрезов для петрографических исследований с помощью поляризационного микроскопа), атомную абсорбцию, рентгеновский флуоресцентный анализ (XRF) Геологическое и тектоническое положение андезитов и масс-спектрометрия с индуктивно связанной плазмой (ICP-MS) в лаборатории Геологического института РАН. Результат. Исследуемая андезитовая порода относится к вулкану Дохан, который расположен в Центрально-Восточной пустыне Египта, по дороге Кения-Сафага. Он считается одной из важнейших зон сдвига в Восточной пустыне, которая включает в себя отличительные породы и экономические месторождения полезных ископаемых. Исследуемая порода относится к позднему посттектоническому магматизму восточноафриканской орогении (EAO). Вулкан Дохан сложен андезитом по петрографическим исследованиям. Он состоит из плагиоклаза, кварца в дополнение к мафическим минералам. Геохимически исследованные образцы андезита имеют известково-щелочную природу. Заключение. Тектонически, андезит попадает в поля островодужных и континентальных базальтов. Они обогащены Ba, Sr, Rb, K2 O и Zr с заметным обеднением большинства HFSE, таких как известково-щелочные островодужные серии