2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)最新文献_第10页

Development of an Ad-hoc Smart Room Based on User-oriented Context-aware System Architecture 基于面向用户的上下文感知系统架构的自组织智能房间的开发

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923296

Kohei Suzuki, Haruki Igarashi, Y. Manabe, K. Sugawara

引用次数: 0

Security and Privacy Awareness: for Software Creators and Users 安全和隐私意识:软件开发者和用户

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923148

G. Keeni, H. Tsunoda

引用次数: 0

Improving Awareness of Emotional Meaning of Emoticon by Representing as Numerical Vectors 用数字向量表示提高对表情符号情感意义的认识

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923207

Yuki Okude, Masafumi Matsuhara, G. Chakraborty, H. Mabuchi

{"title":"Improving Awareness of Emotional Meaning of Emoticon by Representing as Numerical Vectors","authors":"Yuki Okude, Masafumi Matsuhara, G. Chakraborty, H. Mabuchi","doi":"10.1109/ICAwST.2019.8923207","DOIUrl":"https://doi.org/10.1109/ICAwST.2019.8923207","url":null,"abstract":"In recent years, the internet has spread exponentially. The message exchange using texts prevails in SNS such as Twitter or LINE using a smartphone. In SNS, we can not see the other person’s face or gesture. We have to read all the information from the text only such as the other person’s emotions and the meaning hidden in sentences. Japanese language and culture is highly context sensitive with many abstract expressions. If we use only text, it may transmit a different meaning from the true intention. In SNS, emoticons are frequently used as means to express emotions that can not be transmitted by text alone. Emotions of sentences can be better understood by analyzing emotions of emoticons. Types of emoticons have increased with the spread of SNS. Therefore, it is difficult to list and grasp the meaning of all currently confirmed emoticons. In this research, emoticon vectors are acquired by learning SNS contents using word2vec. The purpose is to analyze the emotions of unknown emoticons using emoticon vectors. Word2vec can learn the relationship between words from a text corpus, and convert the meaning of a word into a vector. In this reseach, classification experiments are performed using the semantic vectors of emoticons calculated by word2vec. The effectiveness of clustering is described from the result of experiments.","PeriodicalId":156538,"journal":{"name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133738845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Influence Of Illiteracy On Maternal and Child Health Among Women In India 文盲对印度妇女母婴健康的影响

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923585

S. N. Shivappriya, M. Shanthi, G. Kesavkrishna, R. Sathyanarayanan, R. Marimuthu

引用次数: 1

Productivity-based Features from Article Metadata for Fuzzy Rules to Classify Academic Expert 基于生产率特征的文章元数据模糊规则学术专家分类

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923316

D. Purwitasari, C. Fatichah, A. G. Sooai, S. Sumpeno, M. Purnomo

{"title":"Productivity-based Features from Article Metadata for Fuzzy Rules to Classify Academic Expert","authors":"D. Purwitasari, C. Fatichah, A. G. Sooai, S. Sumpeno, M. Purnomo","doi":"10.1109/ICAwST.2019.8923316","DOIUrl":"https://doi.org/10.1109/ICAwST.2019.8923316","url":null,"abstract":"Since modeling expertise is necessary in an expert recommendation system, this paper addressed the issue to obtain researcher expertise in the academic field on certain topic interest. The profile considers productivity and dynamicity of an expert. The productivity of research activities through published articles as research output determine expertise that changes over time to indicate the dynamicity aspect. Here, the resulted expertise status on certain topic interest augments the expert profile. However, the expertise status is unavailable in the expert finder dataset. This paper discussed on approaches to classify the status from features of productivity and dynamicity in the form of fuzzy rules, which can be applied later in the expert recommendation system. Then, the approaches include of determining topics, mapping expertise candidates, extracting features, and labeling expertise status for training to generate fuzzy rules. Because of unavailable expertise status, to get better labels, the results of linear model and clustering were compared. Based on the empirical experiments, rules trained from scaled data with expertise labels from fuzzy clustering gave better results. After simplifying the rules, if-then forms with two features were representable enough for identifying the status of specialist or thriving experts on a topic interest.","PeriodicalId":156538,"journal":{"name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114322426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Method to Present Situation Aware Suitable Reply Candidate on Mobile Terminal 在移动端呈现态势感知的合适回复候选的方法

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923371

Norifumi Watanabe, Masafumi Matsuhara, G. Chakraborty, H. Mabuchi

{"title":"Method to Present Situation Aware Suitable Reply Candidate on Mobile Terminal","authors":"Norifumi Watanabe, Masafumi Matsuhara, G. Chakraborty, H. Mabuchi","doi":"10.1109/ICAwST.2019.8923371","DOIUrl":"https://doi.org/10.1109/ICAwST.2019.8923371","url":null,"abstract":"In recent years, the number of users using a mobile terminal such as a smart phone and a small mobile terminal such as a smart watch is increasing. In addition, SNS users are increasing year by year. Therefore, necessity for creating messages on a mobile terminal through SNS is increasing. Since the operation screen is small on a mobile terminal, keys for character input are small. Therefore, creating a message on a mobile terminal takes time and typos are common. In particular, when creating a reply after receiving a message via SNS on a small mobile terminal, it may be difficult to respond quickly. Smooth communication between users may not be possible.We have proposed a method to present multiple relevant situation-aware reply candidates to the user corresponding to different situations according to the topic of the received sentence. By the proposed method, the user can select an appropriate reply without performing character input and message revision. The purpose of our proposed method is to support smooth communication between users. The system collects tweets to present a reply candidate. The collected tweets are divided into sentences. Tweets are often written in spoken language on variety of topics. Since the collected tweets may contain noise that is not appropriate as a reply, only suitable tweets are presented to the user as reply candidates by clustering and scoring them. The sentences are divided into different situations by clustering. The sentences with the highest score from each class is presented as a candidate reply. Since the proposed reply indicates different situations, it is expected that most of the time a suitable reply candidate will be presented to the user.","PeriodicalId":156538,"journal":{"name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123217631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Static Analysis Method on Portable Executable Files for REMNUX based Malware Identification 基于 REMNUX 的便携式可执行文件静态分析方法，用于识别恶意软件

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923331

Muhammad Salman, Diyanatul Husna, Nindya Viani

引用次数: 1

Selection of Effective Features for BGP Anomaly Detection BGP异常检测的有效特征选择

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923583

Tatsuya Arai, Kotaro Nakano, B. Chakraborty

引用次数: 3

Implementation of a Quality Measurement Software for Virtual Reality Content on a head mount display 头戴式显示器上虚拟现实内容质量测量软件的实现

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923127

Ko Takayama, Yushi Machidori, Kaoru Sugita

引用次数: 0

Engineering for psychiatry: a case study 精神病学工程:一个案例研究

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923154

Cédric Bornand, A. Stantzos, A. Güsewell, Emilie Bovet, G. Bangerter, M. Thomas

{"title":"Engineering for psychiatry: a case study","authors":"Cédric Bornand, A. Stantzos, A. Güsewell, Emilie Bovet, G. Bangerter, M. Thomas","doi":"10.1109/ICAwST.2019.8923154","DOIUrl":"https://doi.org/10.1109/ICAwST.2019.8923154","url":null,"abstract":"To what extent can engineering be put to the use of psychiatry? Can a smart musical device help relieve patients with serious psychiatric pathologies during seclusion? With a view to answering these questions, a musical device called AMENHOTEP was developed in 2014 in line with the safety standards of seclusion rooms in the intensive care units (ICUs) of psychiatric hospitals [1] and validated in Switzerland and France by the Patient Safety Officers. The device is designed to withstand the physical outbursts of patients, which can be extremely violent. It consists of two interactive platforms, one placed in an ICU, the other in the caregivers’ room. It allows the patient to choose to play one of four categories of music, each associated with a particular emotion: joyful activation, calm, nostalgia, tension. A first study, with qualitative results presented in [4], involved 12 weeks of interviews with the six caregivers [N1-6] of the five patients [P1-5] who were placed in an ICU equipped with the music installation. With the aim of highlighting the first, a second study was conducted in 2017 on eleven patients [A111] exclusively on the basis of measurements related to the use of the device. Since this is not the same sample of patients, this perspective should be interpreted with the utmost caution. The device has a simple and ergonomic interface, which allows patients to make choices and take decisions, a mechanism that naturally helps them regain control of themselves. It is also a tool to promote the patient-caregiver relationship, through the interest generated in listening, the musical choices of the patient and the reasons underlying those choices.","PeriodicalId":156538,"journal":{"name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123254641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1