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Cognitive Based Context Aware Reference History Management Tool
Dharani Punithan(다라니),Bob McKay(로버트이안맥케이) 한국HCI학회 2009 한국HCI학회 학술대회 Vol.2009 No.2
The aim of the research is to focus on the cognitive principles and to achieve human-level intelligence in referring context based browser history and the Windows history. One of the major problems faced by today's computer users is insufficient and single exclusive context based reference of the browser history and the Windows history. Today we search for the browser history and Windows history in different places even though the context is the same. For e.g., When working on a research paper or preparing a business presentation, a user may require to refer many web sites on the internet and various documents on the local computer. The browser can provide only time based history. The windows document history is also time based and limited to list only few documents. Hence, we propose a tool "Cognitive Based Context Aware Reference History Management Tool" which helps to access the exclusive reference of context and time based history in one place. The tool also proposes to store image history with urls and classifies images of a specific topic accessed in different time, bookmarks management and cross browser history management. These features are very useful as we can access all related documents (doc, docx, ppt, pptx, pdf, txt, and html), web pages, images and bookmarks in one place. The tool uses the cognitive principles like classification and association to achieve the purpose.
Model development in freshwater ecology with a case study using evolutionary computation
김동균,정광석,Robert Ian (Bob) McKay,전태수,김현우,주기재 한국생태학회 2010 Journal of Ecology and Environment Vol.33 No.4
Ecological modeling faces some unique problems in dealing with complex environment-organism relationships,making it one of the toughest domains that might be encountered by a modeler. Newer technologies and ecosystem modeling paradigms have recently been proposed, all as part of a broader effort to reduce the uncertainty in models arising from qualitative and quantitative imperfections in the ecological data. In this paper, evolutionary computation modeling approaches are introduced and proposed as useful modeling tools for ecosystems. The results of our case study support the applicability of an algal predictive model constructed via genetic programming. In conclusion, we propose that evolutionary computation may constitute a powerful tool for the modeling of highly complex objects, such as river ecosystems.
A Rapid Screening and Testing Protocol for Keyboard Layout Speed Comparison
Joonseok Lee,Hanggjun Cho,McKay, R. I. Bob IEEE 2015 IEEE transactions on human-machine systems Vol.45 No.3
<P>We propose an efficient low-overhead methodology for screening key layouts for ultimate typing speed. It is fast and complementary to existing protocols in other ways. For equal overhead, it allows testing over a wider range of users. It is subject to potential biases, but they can be quantified and adjusted. It assumes an existing standard layout which is used as a comparator. It eliminates bias from differing familiarity and finger memory by appropriately mapping both layouts. We illustrate it with two mobile phone keypad layouts: Samsung's variant of the common ABC layout, and a new user-specific layout (PM). We repeat a comparison previously undertaken by a training-based method, which used ten participants, and estimated a $54\%$ speedup for PM (SD = $35\%$). The new method used 116 participants and estimated a $19.5\%$ speedup (SD = $7.5\%$). Differences in speedup estimates can be explained by the wide confidence interval of the training-based methods, differences in test corpuses, and the inherent conservatism of the new method. Effects of user characteristics could be meaningfully tested due to the larger test group. Gender had no detectable effect on any of the measures, but age and keypad experience were significantly related to ABC and PM performance. However, the relative speedup was unaffected by age or keypad experience: the method can remove comparison biases arising from differing experience levels.</P>
Model development in freshwater ecology with a case study using evolutionary computation
Kim, Dong-Kyun,Jeong, Kwang-Seuk,McKay, Robert Ian (Bob),Chon, Tae-Soo,Kim, Hyun-Woo,Joo, Gea-Jae The Ecological Society of Korea 2010 Journal of Ecology and Environment Vol.33 No.4
Ecological modeling faces some unique problems in dealing with complex environment-organism relationships, making it one of the toughest domains that might be encountered by a modeler. Newer technologies and ecosystem modeling paradigms have recently been proposed, all as part of a broader effort to reduce the uncertainty in models arising from qualitative and quantitative imperfections in the ecological data. In this paper, evolutionary computation modeling approaches are introduced and proposed as useful modeling tools for ecosystems. The results of our case study support the applicability of an algal predictive model constructed via genetic programming. In conclusion, we propose that evolutionary computation may constitute a powerful tool for the modeling of highly complex objects, such as river ecosystems.
An Adaptive, Personalised Chording Keyboard
Tuan Pham,Kangil Kim(김강일),Bob McKay,Xuan Hoai Nguyen 한국HCI학회 2009 한국HCI학회 학술대회 Vol.2009 No.2
We present a design for personalisation of a chording keyboard. There are two primary design goals. Firstly, the keyboard layout should be easy to learn, and easy to use, taking into account the background and physical constraints of the user. Secondly, the keyboard layout should be readily extensible, based on the previous behaviour of the keyboard user. The design proposal accomplishes these goals, and can be simply implemented on cost-effective hardware. In addition, we present preliminary experimental results on optimising the initial keyboard layout.
Hexagonal Tortoise Problem Solving using Constraint Programming
아르세니 포볼로츠스키(Arseniy V. Povolotskiy),신해수(Haisoo Shin),법?카이(RI Bob McKay) 한국정보과학회 2011 정보과학회논문지 : 소프트웨어 및 응용 Vol.38 No.1
지수귀문도는 18세기 조선 학자 최석정이 고안한 조합 퍼즐이다. 마방진처럼 특정 부분의 합이 같도록 숫자를 배열하는 문제이지만, 배열 모양이 육각형 형태이다. 특정 형태의 지수귀문도는 풀이법이 알려져 있지만, 일반적인 형태의 해는 찾기가 어렵다. 그래서 조합검색 기법을 시험하는 데 좋은 문제이다. 이 논문은 제약 프로그래밍 기법을 이용하여 지금까지 알려진 것보다 훨씬 큰 지수귀문도의 해를 찾아내는 방법을 소개한다. 그리고 순수 제약 프로그래밍만으로는 한계에 부딪칠 수 밖에 없는 이유를 논의하고, 여기에 기계 학습법을 조합하는 연구 방향을 제시한다. The hexagonal tortoise (jisuguimundo) is an 18th century Korean combinatorial problem. As in magic square problems, it requires allocating numbers to a tiling, in such a way that specific sums are conserved. Unlike magic squares, however, the tiling is hexagonal. While general solutions for some very specific shapes of tilings are known, in general they are difficult to find, so that the problem becomes a useful playground for combinatorial search methods. We present constraint programming methods which have been able to find solutions an order of magnitude larger than previous methods. We discuss why it will be difficult to extend pure constraint programming methods much further, and propose a research direction combining constraint programming and learning methods.