- Green IT and Sustainability
- Caching and Content Delivery
- Image and Video Quality Assessment
- Advanced Battery Technologies Research
- Mobile Ad Hoc Networks
- Wireless Networks and Protocols
- Cooperative Communication and Network Coding
- Energy Harvesting in Wireless Networks
- Blockchain Technology Applications and Security
- Opportunistic and Delay-Tolerant Networks
- Data Stream Mining Techniques
- Internet Traffic Analysis and Secure E-voting
- Cloud Computing and Resource Management
- Multimedia Communication and Technology
- IoT and Edge/Fog Computing
- Vehicular Ad Hoc Networks (VANETs)
- Network Security and Intrusion Detection
- Traffic control and management
- FinTech, Crowdfunding, Digital Finance
- Cryptography and Data Security
- Context-Aware Activity Recognition Systems
- Network Traffic and Congestion Control
- Advanced Malware Detection Techniques
- User Authentication and Security Systems
- Advanced Wireless Network Optimization
University of Helsinki
2014-2023
Southeast University
2019-2021
BRAC University
2021
Helsinki Art Museum
2016
East Tennessee State University
2015
Helsinki Institute for Information Technology
2015
Aalto University
2011-2014
Texas Southern University
2014
University of Alabama
2009-2012
Energy conservation in battery powered mobile devices that perform wireless multimedia streaming has been a significant research problem since last decade. This is because these consume lot of power while receiving, decoding and ultimately, presenting the content. What makes things worse fact technologies have not evolved enough to keep up with rapid advancement devices. survey examines solutions proposed during few years, improve energy efficiency hand-held We categorize work according...
With the prevalence of smartphones, people have left abundant behavior records in cyberspace. Discovering and understanding individuals' cyber activities can provide useful implications for policymakers, service providers, app developers. In this paper, we propose a framework to discover daily activity patterns across people's mobile usage. The first segments usage traces into short time windows then applies probabilistic topic model infer users' each window. By constructing exploring...
Accurately predicting the lifetime of lithium-ion batteries in early stage is critical for faster battery production, tuning production line, and predictive maintenance energy storage systems battery-powered devices. Diverse usage patterns, variability devices housing batteries, diversity their operating conditions pose significant challenges this task. The contributions paper are three-fold. First, a public dataset used to characterize behavior internal resistance. Internal resistance has...
Video streaming on smartphones is one of the most popular but also energy hungry services today. Using mobile video results in two contradictory sources waste for smartphones: i) because excessively aggressive prefetching content that user will not watch abandoning session, and ii) excessive amount tail energy, which wasted by keeping wireless interface powered after receiving a chunk content; this caused chunks are too small. To remedy this, we propose novel download scheduling algorithm...
Exploiting both LTE and Wi-Fi links simultaneously enhances the performance of video streaming services in a smartphone. However, it is challenging to achieve seamless high quality while saving battery energy data usage prolong time In this paper, we propose REQUEST, chunk request policy for Dynamic Adaptive Streaming over HTTP (DASH) smartphone, which can utilize Wi-Fi. REQUEST enables DASH with near optimal under given budgets usage. Through extensive simulation measurement real...
ANCHOLIK-NER is a linguistically diverse dataset for Named Entity Recognition (NER) in Bangla regional dialects, capturing variations across Sylhet, Chittagong, and Barishal. The has around 10,443 sentences, 3,481 sentences per region. data was collected from two publicly available datasets through web scraping various online newspapers, articles. To ensure high-quality annotations, the BIO tagging scheme employed, professional annotators with expertise dialects carried out labeling process....
Energy consumption of mobile devices is a great concern and streaming applications are among the most power hungry ones. We evaluate energy saving potential shaping traffic into bursts before transmitting it over 3G LTE networks to smartphones. The idea that in between bursts, phone has sufficient time switch from high-power active state low-power states. investigate impact network parameters, namely inactivity timers discontinuous reception, on achievable savings radio access signaling...
Existing channel assignment algorithms designed for multi-radio multi-channel wireless mesh networks (MRMC-WMN) mainly deal with orthogonal or nonoverlapped channels. But in reality, the limited availability of is a major issue where network very dense terms inter-nodal distances. On other hand, partially overlapped channels (POC) are currently considered as great potential increasing number simultaneous transmissions and eventually upgrading capacity; especially case MRMC-WMN. In this...
Exploiting both LTE and Wi-Fi links simultaneously enhances the performance of video streaming services in a smartphone. However, it is challenging to achieve seamless high quality while saving battery energy data usage prolong time In this paper, we propose REQUEST, chunk request policy for Dynamic Adaptive Streaming over HTTP (DASH) smartphone, which can utilize Wi-Fi. REQUEST enables DASH with near optimal under given budgets usage. Through extensive simulation measurement real...
We study how much energy can be saved by reshaping audio streaming traffic before receiving at the mobile devices. The rationale is following: Mobile network interfaces (WLAN and 3G) are in active mode when they transmit or receive data, otherwise idle/sleep mode. To save energy, minimum possible time should spent maximum It well known that usually constant bit rate multimedia into bursts, it to spend more leading impressive savings. propose a proxy-based solution shapes an stream bursts...
Multimedia streaming applications are among the most energy hungry in smartphones. The consumption mostly depends on delivery techniques and power management of wireless interfaces (Wi-Fi 3G). In order to provide insights what kind exist, how they work different mobile platforms, is their impact phones, we have done a large set active measurements with several smartphones having both Wi-Fi cellular network access. Our analysis reveals five deliver content video players. selection technique...
A Chatbot is a popular platform to enable users interact with software or website gather information execute actions in an automated fashion. In recent years, chatbots are being used for executing financial transactions, however, there number of security issues, such as secure authentication, data integrity, system availability and transparency, that must be carefully handled their wide-scale adoption. Recently, the blockchain technology, advantages, has emerged one foundational technologies...
Video streaming can drain a smartphone battery quickly. A large part of the energy consumed goes to wireless communication. In this article, we first study efficiency different video content delivery strategies used by service providers and identify number sources inefficiency. Specifically, find fundamental tradeoff in waste between prefetching small chunks content: are bad because each download causes fixed tail be spent regardless amount downloaded, whereas increase risk downloading data...
The user's understanding of information needs and the available in data collection can evolve during an exploratory search session. Search systems tailored for well-defined narrow tasks may be suboptimal where user sequentially refine expressions her explore alternative directions. A major challenge design is how to support such behavior expose relevant yet novel that difficult discover by using conventional query formulation techniques. We introduce IntentStreams, a system provides...
Face detection is a popular research topic to the researchers at present in Biometric system. The aim of this develop system which can detect human face or faces from live video streaming and warn by giving siren for ensuring significant role surveillance security aspects. core control includes ATMega328p Microcontroller based Arduino Uno with Pan-Tilt mechanism Open Source Computer Vision System (OpenCV) platform image processing For detecting existing methods are Haar-Cascade, Camshift,...
Much research has been performed investigating the challenging issue of efficiently utilizing network-wide capacity available in multihop wireless mesh networks with multiple radios and channels. In this work, routing channel assignment are intertwined issues. article we present summaries work based on two broad categorizations terms algorithm features: centralized distributed approaches. Due to dimensions topics, subgroup papers how interactions between assignments treated. They include...
Shaping constant bit rate traffic into bursts has been proposed earlier for UDP-based multimedia streaming to save Wi-Fi communication energy of mobile devices. The relationship between the burst size and consumption wireless interfaces is such that larger size, lower per received as long there no packet loss. However, in case TCP not yet fully uncovered. In this paper, we develop a power model which describes scenarios. Then, implement cross-layer stream delivery system, EStreamer. This...
Smartphones are frequently used to shoot and share videos online emerging applications, such as Augmented Reality, will increase the usage of camera. Unfortunately, shooting streaming video drains a modern smartphone's battery very quickly. We report results from measurement study dissect smartphone energy consumption when using an application. Our main findings that majority power is drawn already camera in focus mode not yet recording. This by internal hardware some other related...
Full charge capacity (FCC) refers to the amount of a battery can hold. It is fundamental property smartphone batteries that diminishes as ages and charged/discharged. We investigate behavior while charging demonstrate voltage rate information together characterize FCC battery. propose new method for accurately estimating without exposing low-level system details or introducing hardware modules. further implement collaborative estimation technique builds on crowd-sourced data. The finds...
Spark is one of the prevalent big data analytical platforms. Configuring proper resource provision for jobs challenging but essential organizations to save time, achieve high utilization, and remain cost-effective. In this paper, we study challenge determining parameter values that meet performance requirements workloads while minimizing both cost utilization time. We propose a simulation-based model predict accurately. low-cost training by taking advantage simulation framework, i.e., Monte...