2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)最新文献_第4页

Foody - Smart Restaurant Management and Ordering System Foody -智能餐厅管理和点菜系统

2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2018-12-01 DOI: 10.1109/R10-HTC.2018.8629835

V. Liyanage, A. Ekanayake, H.D.S.N Premasiri, P. Munasinghe, S. Thelijjagoda

{"title":"Foody - Smart Restaurant Management and Ordering System","authors":"V. Liyanage, A. Ekanayake, H.D.S.N Premasiri, P. Munasinghe, S. Thelijjagoda","doi":"10.1109/R10-HTC.2018.8629835","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629835","url":null,"abstract":"Customers play a vital role in the contemporary food industry when determining the quality of the restaurant and its food. Restaurants give considerable attention to customers’ feedback about their service, since the reputation of the business depends on it. Key factors of evaluating customer satisfaction are, being able to deliver the services effectively to lessen the time of consumption, as well as maintaining a high quality of service. In most cases of selecting a prominent restaurant, customers focus on their choice of favorite food in addition to available seating and space options. Long waiting times and serving the wrong order is a common mistake that happens in every restaurant that eventually leads to customer dissatisfaction. Objectives of this online application “Foody” is to address these deficiencies and provide efficient and accurate services to the customer, by providing unique menus to each customer considering their taste. This concept is implemented as a mobile application using latest IT concepts such as Business Intelligence, Data Mining, Predictive Analysis and Artificial Intelligence. This includes graphics and 3D modeling that provide existent physical information related to food such as colors, sizes and further user can view the ingredients of the meal as well as the available tables. In addition, the app shows the real-time map to the restaurant. Current table reservation status is indicated by the color change of the table. Unique food recommendation and it’s order for each customer is generated by analyzing their social media information and the system notifies the customer the wait time by calculating it. Preparation of food and allocation is done subjectively. The expected outcome of the research is to develop a fully automated restaurant management system with the mentioned features as well as to avoid confusions between orders, provide better view of food and allow the customer to choose the menu according to their taste in a minimum time.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121716377","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: 10

Power Network Measurement Placement Using Graph Optimization 基于图优化的电网测量布局

2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2018-12-01 DOI: 10.1109/R10-HTC.2018.8629830

K. C. Sou

引用次数: 1

A Multi-Agent System for Improving Electroencephalographic Data Classification Accuracy 提高脑电图数据分类精度的多智能体系统

2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2018-12-01 DOI: 10.1109/R10-HTC.2018.8629860

Suneth Pathirana, D. Asirvatham, M. Johar

{"title":"A Multi-Agent System for Improving Electroencephalographic Data Classification Accuracy","authors":"Suneth Pathirana, D. Asirvatham, M. Johar","doi":"10.1109/R10-HTC.2018.8629860","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629860","url":null,"abstract":"Electroencephalographic (EEG) devices are utilized to measure the electrical activity of the human brain cost-effectively. In this technology, an electrical potential available on the scalp is measured. Special kind of sensors called electrodes are positioned on the scalp following international standards. One of the key benefits of the Electroencephalography is, the detectability of some brain disorders such as Epileptic Seizure. In addition to the medicinal usage, the EEG technology is often preferred by Brain Machine Interfacing (BMI) or Brain-Computer Interfacing (BCI) researchers to recognize a patient’s intentions. The objective is to control computers or machines according to the user’s intentions. In other words, BCI / BMI is an alternative hands-free Human-Computer Interaction (HCI) system which replaces the typical input devices such as a mouse or keyboard. In most BMI or BCI applications, a non-invasive EEG data acquisition approach is followed, using a consumer-grade EEG device. Such a device is equipped with only a few electrodes, causing a major drawback, limited accuracy (typically less than 70%). The only remedy for this issue is, improving the accuracy of the EEG data classifier, the computational algorithm to recognize the user intentions. In this paper, the applicability of a Multi-Agent System for EEG data classification is discussed, which has confirmed its competency in improving the accuracy by 17%, approximately.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134250702","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

Challenges of mHealth Implementation in Resource Constrained Settings - The Case of Sahabat Bundaku 资源受限环境下移动医疗实施的挑战——以Sahabat Bundaku为例

2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2018-12-01 DOI: 10.1109/R10-HTC.2018.8629803

Y. S. Irawan, A. Riyani, A. P. Koesoema, D. Q. Utama, S. Soegijoko

{"title":"Challenges of mHealth Implementation in Resource Constrained Settings - The Case of Sahabat Bundaku","authors":"Y. S. Irawan, A. Riyani, A. P. Koesoema, D. Q. Utama, S. Soegijoko","doi":"10.1109/R10-HTC.2018.8629803","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629803","url":null,"abstract":"mHealth has a vast potential to help alleviate health challenges in developing countries, especially where there is a high growth in ICT adoption. However, many initiatives face various challenges, especially in going beyond the initial pilot funding stage. This paper uses the case of Sahabat Bundaku, a suite of mobile health applications for mother and child health, to illustrate the process and challenges of mHealth development, application and sustainability in resource constrained settings. Key lessons include (1) the importance of having a flexible engagement strategy combining top down and bottom up support, with different aspects of the program needing more support either from the top, or initiative from the frontline actors, (2) the varying needs and capacities, (3) the importance of combining technology introduction with a high-touch, low technology approach, with more face-to-face or physical interaction complementing or easing the way for technology, and (4) the importance of flexible partnership development, with multiple non-exclusive partners ensuring sustainability and growth of different aspects of the mHealth application","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133539612","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

R10-HTC 2018 Reviewer Panel R10-HTC 2018评审小组

2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2018-12-01 DOI: 10.1109/r10-htc.2018.8629850

引用次数: 0

Impact of Electric Motorcycles on Distribution Network and Design of a Charger for Electric Motorcycles 电动摩托车对配电网的影响及电动摩托车充电器的设计

2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2018-12-01 DOI: 10.1109/R10-HTC.2018.8629817

Anjana Wijesekera, P. Binduhewa

引用次数: 1

Energy Analyses and Projected Attributes of Sustainable Retrofits: a Case Study at SAINTGITS 能源分析和可持续改造的预期属性:圣特吉特的案例研究

2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2018-12-01 DOI: 10.1109/R10-HTC.2018.8629844

Sajan Thomas, Joselin Herbert, J. T. Varghese

引用次数: 3

Multiple Error Self Checking-Repairing Fault Tolerant Adder-Multiplier 多重错误自检修复容错加法器

2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2018-12-01 DOI: 10.1109/R10-HTC.2018.8629854

P. Palsodkar, P. Palsodkar, Rupali Giri

{"title":"Multiple Error Self Checking-Repairing Fault Tolerant Adder-Multiplier","authors":"P. Palsodkar, P. Palsodkar, Rupali Giri","doi":"10.1109/R10-HTC.2018.8629854","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629854","url":null,"abstract":"Human action has its own limits. In some critical applications immediate action is required like defense application, space related, medical instruments or any safety application where fault tolerant systems are essential. This paper describes a new approach of full adder (FA) to accomplish fault-tolerant adder designs, which are more efficient than the conventional approaches, in distinct characteristic against many errors. This design covers self- checking and self-repairing FA to achieve multiple error detection and correction capability of all multiple permanent & transient errors. These adders require lower area overhead, less power consumption compared to the fault-tolerant methods implemented earlier. Area overhead analysis shows that the Lizard method consist of 75% of area overhead, Partial Triple Modular Redundancy (PTMR) consist an area overhead of 61% whereas the proposed adder is 100% free from area overhead. Self-checking $FA$, designed for carry select adder (CSA), consumes 15% less area compared to the previously used self-checking CSA approach. Area overhead of the proposed adder is 25% less, Power delay product of 4 bit fault tolerant multiplier is 92% less compared to Triple Modular Redundancy (TMR) method.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134227802","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: 5

Decentralized Ledger for Land and Property Transactions in Sri Lanka Acresense 斯里兰卡土地和财产交易的分散分类账

2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2018-12-01 DOI: 10.1109/R10-HTC.2018.8629811

Ishan Yapa, Samitha Heanthenna, Nadun Bandara, Isuru Prasad, Y. Mallawarachchi

{"title":"Decentralized Ledger for Land and Property Transactions in Sri Lanka Acresense","authors":"Ishan Yapa, Samitha Heanthenna, Nadun Bandara, Isuru Prasad, Y. Mallawarachchi","doi":"10.1109/R10-HTC.2018.8629811","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629811","url":null,"abstract":"Land & property can be identified as one of the core assets in any county in the world. Governments spend significant amount of money to identify, define, manage and maintain the transactional information around land and property in a country. Creating a proper mechanism to make this information available to the public users can be considered as one of the key indications that shows the development of a country. The system currently in use to record land and property transactions in Sri Lanka is a book-based system where all the information is stored in handwritten folios. This method is inefficient, time consuming, unsecured and complex when compared to the advanced systems which are used by developed countries in the world. This study is carried out to find a secured, efficient, cost effective solution with regards to the concerns and other problems related to land and property transactions in Sri Lanka. Proposed solution includes a decentralized ledger to record land and property transactions which runs on top of blockchain technology. All new transaction entries will be validated by smart contracts to verify the validity of the transactions. After performing a proper consensus mechanism, the transaction records will be stored in cryptographically secured blocks. So, the data integrity could not be violated. Additionally, investors and the land buyers can get information about the current market trends & predictions before buying or investing into a land. Also, the proposed system supports the users to view the land information graphically and allows the system users to view the desired land parcels without physically going to the actual location via the geographical information system.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132792844","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: 9

Brain Tumor Type Detection Using Texture Features in MR Images 基于磁共振图像纹理特征的脑肿瘤类型检测

2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) Pub Date : 2018-12-01 DOI: 10.1109/R10-HTC.2018.8629800

Yogita K. Dubey, M. Mushrif, Komal Pisar

引用次数: 3