• Title/Summary/Keyword: Internet use patterns

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Intrusion Detection on IoT Services using Event Network Correlation (이벤트 네트워크 상관분석을 이용한 IoT 서비스에서의 침입탐지)

  • Park, Boseok;Kim, Sangwook
    • Journal of Korea Multimedia Society
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    • v.23 no.1
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    • pp.24-30
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    • 2020
  • As the number of internet-connected appliances and the variety of IoT services are rapidly increasing, it is hard to protect IT assets with traditional network security techniques. Most traditional network log analysis systems use rule based mechanisms to reduce the raw logs. But using predefined rules can't detect new attack patterns. So, there is a need for a mechanism to reduce congested raw logs and detect new attack patterns. This paper suggests enterprise security management for IoT services using graph and network measures. We model an event network based on a graph of interconnected logs between network devices and IoT gateways. And we suggest a network clustering algorithm that estimates the attack probability of log clusters and detects new attack patterns.

Linguistical approach with Automatic MBTI Identification Model based on Measuring Bioelectricity Patterns

  • Hyun-Tae Kim;Ye-Jin Jin;Hye-Jin Jeon;Janghwan Kim;R. Young Chul Kim
    • International journal of advanced smart convergence
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    • v.12 no.3
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    • pp.200-210
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    • 2023
  • Until now, it is popular to use question-and-answer-based for human personality. The current inspection of representative personality types includes Myers-Briggs Type Indicator (MBTI) and job suitability evaluations. The problem of these inspection methods is influenced by the user's environment and psychological status during MBTI inspection. To solve this problem, we proposed MBTI Identification Model based on measuring bioelectricity patterns. We adapt traditional Korean medicine, the Eight Constitution, to this model. We develop an automatic MBTI identification algorithm that maps the Eight Constitution via biological current patterns to identify MBTI personality types. By utilizing the algorithm proposed in this research, it is anticipated that users will be able to measure MBTI more easily and accurately.

Automatic Software Requirement Pattern Extraction Method Using Machine Learning of Requirement Scenario (요구사항 시나리오 기계 학습을 이용한 자동 소프트웨어 요구사항 패턴 추출 기법)

  • Ko, Deokyoon;Park, Sooyong;Kim, Suntae;Yoo, Hee-Kyung;Hwang, Mansoo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.1
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    • pp.263-271
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    • 2016
  • Software requirement analysis is necessary for successful software development project. Specially, incomplete requirement is the most influential causes of software project failure. Incomplete requirement can bring late delay and over budget because of the misunderstanding and ambiguous criteria for project validation. Software requirement patterns can help writing more complete requirement. These can be a reference model and standards when author writing or validating software requirement. Furthermore, when a novice writes the software scenario, the requirement patterns can be one of the guideline. In this paper proposes an automatic approach to identifying software scenario patterns from various software scenarios. In this paper, we gathered 83 scenarios from eight industrial systems, and show how to extract 54 scenario patterns and how to find omitted action of the scenario using extracted patterns for the feasibility of the approach.

Personalized Battery Lifetime Prediction for Mobile Devices based on Usage Patterns

  • Kang, Joon-Myung;Seo, Sin-Seok;Hong, James Won-Ki
    • Journal of Computing Science and Engineering
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    • v.5 no.4
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    • pp.338-345
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    • 2011
  • Nowadays mobile devices are used for various applications such as making voice/video calls, browsing the Internet, listening to music etc. The average battery consumption of each of these activities and the length of time a user spends on each one determines the battery lifetime of a mobile device. Previous methods have provided predictions of battery lifetime using a static battery consumption rate that does not consider user characteristics. This paper proposes an approach to predict a mobile device's available battery lifetime based on usage patterns. Because every user has a different pattern of voice calls, data communication, and video call usage, we can use such usage patterns for personalized prediction of battery lifetime. Firstly, we define one or more states that affect battery consumption. Then, we record time-series log data related to battery consumption and the use time of each state. We calculate the average battery consumption rate for each state and determine the usage pattern based on the time-series data. Finally, we predict the available battery time based on the average battery consumption rate for each state and the usage pattern. We also present the experimental trials used to validate our approach in the real world.

A Study of Axial Eccentricity Strength of High Strength Concrete Thin Walls for Internet of Things (사물인터넷 구현을 위한 고강도 콘크리트 박막벽체의 극한 편심하중 강도에 관한 연구)

  • Oh, Soontaek;Lee, Dongjun;Kim, Yeonsik
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.11 no.1
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    • pp.1-8
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    • 2015
  • Recently, a high strength concrete(HSC) in excess of 80 MPa is popular to use in the domestic construction field. But there is no design standard of high strength concrete. It is reason why a study about structural behaviors of thin walls is required. In this paper, the accurate Finite Element Method as a virtual test is suggested considering material properties, which are concrete and steel, and the experimental fractural model suggested by Kupfer. It is conducted the comparison evaluation of the ultimate failure loads, lateral-displacements and crack propagation patterns between the results of experimental approach, which were carried on Saheb's test for normal strength concrete and Lee's test for high strength concrete. Therefore it is suggested to use the accurate virtual simulation test method and Ubiquitous Sensor Network(USN) by Finite Element Method for Internet of Things(IoT).

Yo Tribe's Traditional Costume and Pattern (요족(瑤族)의 전통 복식과 문양)

  • Zhong, Hua-Lim;Cho, Jean-Suk
    • Journal of the Korea Fashion and Costume Design Association
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    • v.11 no.2
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    • pp.85-98
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    • 2009
  • The modern trend in costumes, influenced by postmodernism, is to use of various patterns and images borrowed from diverse cultures of many ethnic groups. The Yo tribe studied in this paper is miner ethnic group in China, whose traditional costume is very splendid and modern. In addition, its embroidery pattern has a high artistic value in that its shapes are diverse and splendid and each one has its own peculiar elegance. As for the research method, I examined the Yo tribe's history, culture, traditional costumes and design patterns through related books, research papers, internet sites, and etc. The results of the paper are as follows. The Yo tribe's costumes consist of a jacket, trousers or a skirt, an apron and a belt. Although the color of the costumes is all black, there are splendid embroidery decorations with the colors of red, orange, yellow, green and white on the chest or shoulder part of a jacket, the adjusting lines, cuffs, or a part of a trousers and aprons. The types of the patterns represented in the Yo tribe's traditional costumes are related to nature, ancestor worship, ethnic legends, history, religion, and agricultural lives. The method by which the Yo tribe expressed on their costumes is a "peach-blossom" technique, which uses cross-shaped embroidery with wrap and woof threads. Because it is not apt to express delicate and detailed patterns, the Yo tribe's patterns tend to show abstract and geometrical forms.

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A Study on Weighting Cells by Survey Methods for Social Surveys: Telephone, Internet and Mobile Surveys (사회조사에서 조사방법에 따른 가중 칸 설정에 관한 연구: 전화조사, 인터넷 조사, 모바일 조사)

  • 허명회;강용수;손은진
    • Survey Research
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    • v.5 no.1
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    • pp.1-26
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    • 2004
  • The aim of this study lies in answering the question "How to form weighting cells to enhance sample representativeness in telephone, Internet and mobile surveys\ulcorner". For this, we explored 2% raw data of Year 2000 Population and Housing Census of Korea looking for meaningful patterns for ownership of telephones, the usage of Internet and/or mobile phones. We found that telephone coverage rates vary significantly by household size; 84.6% for one member households, contrasting 98.5% for two-or-more member households. Thus, telephone survey samples need to be weighted differently in sub-groups by household size for proportional representation of target population. Searching socio-demographic factors influencing the use of Internet by C5.0 tree models, we found that education levels and the occupation (or housing type, the automobile ownership) are two most important factors in addition to gender and age. Thus, surveyor might form weighting cells by such factors at the stage of post-stratification or set quotas, a priori, proportional to size of the cells by such factors. For mobile surveys, we approached similarly and found that education levels and the occupation (or the automobile ownership, marriage status) are two additional factors that may be used in forming weighing cells or in setting quotas for cells.

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The Development of a Bag Design Using the Yi Tribe's Traditional Patterns: Focusing on the Fabric Pattern Design (이족의 전통문양을 활용한 가방디자인 개발 연구: 패브릭 패턴 디자인을 중심으로)

  • Lee, Mokgyul;Cho, Jeansuk
    • Journal of Fashion Business
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    • v.19 no.2
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    • pp.149-170
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    • 2015
  • The purpose of this study is to link the Yi tribe's traditional patterns to bag design. Yi tribe is a minor ethic group in China, whose traditional pattern has a high artistic value in that its shapes are diverse and each one has peculiar elegance. Traditional patterns are also indicative of spiritual dept or symbolic stories, rather than being indicative of simple formative beauty. Thus, reorganizing these patterns and applying them artistically to design- in terms of resource utilization- would be significant. Out of all of the Yi tribe's traditional patterns, the cherry blossom_(马樱花), water wave_(水波), sky father and earth mother_(天父地母), pomegranate blossom, triangle, sheep' horn, wisteria vine_(藤条), square and diaper_(四角菱形) and the zigzag_(曲折) patterns were chosen for use during the development of a bag design. This study is based upon document study, including research papers and internet web sites, the point of which was to investigate the form of the traditional patterns, and the creative design process. The design procedure includes these sub-processes: selection, arrangement and color-scheme. In the selection process, the form of the pattern was edited using Adobe Photoshop. The pattern was freely arranged to reflect various emotions. In terms of the color-scheme of the patterns, the colors used by Henri Matisse(1869-1954) in his work were selected and adapted when dyeing the patterns. Subsequently, the final design resulting from these design development processes was applied to the actual production of the bag by using canvas fabric and leather, after which the bag image was proposed using computer simulation. In conclusion, six bag designs were created using traditional patterns from the Yi tribe. Through the processes explained above, this study confirmed that traditional patterns could be widely applied as design motifs and that more sophisticated, modern, and creative designs could be developed based on traditional patterns.

Identifying Housing Demands on Smart Homes by Targeting Residents of Apartment Complexes in China (중국 아파트 거주자를 대상으로 한 스마트 주택 요구도 분석)

  • Dong, Xue;Kim, Mi Jeong;Cho, Myung Eun
    • Journal of the Korean housing association
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    • v.27 no.6
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    • pp.105-112
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    • 2016
  • Although smart homes have been much developed in China, smart homes has been mainly towards the adoption of new technologies. There is little development of smart homes to consider and meet residents' needs in China. This study investigated residents' living in apartments in China using a questionnaire to identify their demands on smart homes. Through the survey, this study analyzed residents' space use patterns, daily living patterns etc. according to their ages. The results implied that there are significant differences in the use of spaces and demands on daily living within apartments. The results of this study should be considered for the development of smart homes in future. For example, it might be easier for people in the 20's to adopt Internet of Things (IoT) and environmental control systems compared to other age groups because most of them in the 20's use smart phones effectively without difficulties. In case of people in their 50's who stay home more times for taking a rest and eating meals compared to other age groups, smart technologies should be applied to support their health care and works in housings. This research emphasizing residents' experiences could be basis for the development of smart homes in China.

Multi Parameter Design in AIML Framework for Balinese Calendar Knowledge Access

  • Sukarsa, I Made;Buana, Putu Wira;Yogantara, Urip
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.1
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    • pp.114-130
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    • 2020
  • Balinese calendar is defined as a unique calendar system for combining solar-based and lunar-based system and assuming local system. It is considered as guidance of Balinese societies' activities management, starting from meeting arrangement, wedding ceremony, to religious ceremonies. Practically, it has developed in the form of printed Balinese calendar and electronic Balinese calendar, either web or mobile application. The core of the function is to find out the day with its various characteristics in the Balinese Calendar. In general, society usually asks the religious leader to find out the day in detail. The technology of NLP combined with models of pattern discoveries supports the arrangement of the interaction model in searching the good day in Balinese Calendar to equip the conventional searching system in the previous applications. This study will design a dialog model with AIML method in multi-parameter basis; therefore, the users will be dynamically able to use the searching content in various ways by chatting in similar with consulting to a religious leader. This model will be applied in a chatbot basis service in telegram machine. The addition of the context recognition section into 4 paterns has been successfully improve the ability of AIML to recognize input patterns with many criteria. Based on the testing with 50 random input patterns obtained a success rate of 92.5%.