We propose a detection mechanism that takes the advantage of virtualized environment and combines both passive and active detection approaches for detecting bot malware. Our proposed passive detection agent lies in the virtual machine monitor to profile the bot behavior and check against it with other hosts. The proposed active detection agent that performs active bot fingerprinting can send sp...

This paper presents a new robotic concept, called SWARM-BOT, based on a swarm of autonomous mobile robots with self-assembling capabilities. SWARM-BOT takes advantage from collective and distributed approaches to ensure robustness to failures and to hard environment conditions in tasks such as navigation, search and transportation in rough terrain. One SWARM-BOT is composed of a number of simpl...

Private provision of public roads through build-operate-transfer (BOT) contracts is increasing around the world. Under a BOT contract, a private firm would build a road, charge tolls to road users for a period, and then transfer the road to the government. By viewing a BOT contract as a combination of three variables of concession period, road capacity and toll charge, we study optimal BOT cont...

In various situations, there are times when a person is unable to physically check or provide assistance, leaving specific action undone. However, with the use of robots, such issues can be resolved, and lives saved. To address this need, we have proposed development surveillance robot that stream real-time videos, transfer audio, navigate around obstacles. Our aim design system allows us wirel...

BACKGROUND Base of tongue (BOT) is a difficult subsite to examine clinically and radiographically. Yet, anatomic delineation of the primary tumor site, its extension to adjacent sites or across midline, and endophytic vs. exophytic extent are important characteristics for staging and treatment planning. We hypothesized that ultrasound could be used to visualize and describe BOT tumors. METHOD...

Borderline ovarian tumors (BOT) consist of epithelial ovarian lesions that express cytological features of malignancy, but unlike malignant ovarian tumors, do not show obvious stromal invasion. The tumor incidence is between 1.8 and 4.8 per 100,000 females per year. The two major groups of BOT include serous BOT (S-BOT) and mucinous BOT (M-BOT). S-BOTs are divided into two categories: tumors li...

Borderline ovarian tumour (BOT) represents a rare and special tumour entity. Despite a generally favourable prognosis for patients with BOT, the presence of invasive peritoneal implants decreases the survival rate to 30-50%. In contrast to ovarian cancer, only few data exist concerning the current clinical management of patients with BOT. For this reason, the present analyses were performed for...

Unusually high correlation in activities among users in social media is an indicator of bot behavior. We have developed a system, called DeBot, that identifies such bots in Twitter network. Our system reports and archives thousands of bot accounts every day. DeBot is an unsupervised method capable of detecting bots in a parameter-free fashion. In February 2017, DeBot has collected over 710K uni...

Real-Time Strategy (RTS) games are a challenging genre for the design of Intelligent Virtual Agents. We were interested whether incorporating a simple emotional model to an existing bot-script improves playing strength. We implemented a bot for Microsoft's RTS game “Age of Mythology”. The emotional model is based on the “Big-Five” and the Emotion-Connectionist Model. Four variants of the bot we...