The fusion of law and information technology

In information society, legal norm communications have been never established in certain fields for a long time. That is, a few legal norms have never obeyed in the fields. Above all, legal norms which relate to data protection, information contents and information security, would often infringed. Most violation would be conducted by using information technologies. Information technologies would often be used in these infringing incidents. It can be said that these infringing incidents would have never been conducted without information technology. These infringing incidents include hacking actions, personal data abuse, personal information disclosure, unauthorized access, infringing copyrights, infringing privacy rights, and so on. A way of preventing those infringements is to raise the level of punishment against the violators. But, it will prove to be disappointing. Furthermore, it would be an ex post facto measure to the last. It would be needed to invent an ex ante measure, if it is possible. As the ex ante measure, the author proposes a fusion of law and information technology. An information technology will lead people to a lawful deed when they conduct actions in using computers and networks. They say that information technology cures information technology. After all, the fusion will aim at realizing laws, and it will contribute to recover a social justice

Do social networking groups support online petitions?

This article is the post-print version of the final paper that has been accepted for publication and is forthcoming in Transforming Government: People, Process and Policy. Copyright @ Emerald Group Publishing LimitedEPetitioning has been emerging as arguably the most important eParticipation institutional activity. This paper aims to provide some insights into how ePetitions are perceived and supported by social networking sites. The connection between the UK government’s ePetitioning system and social networking groups linking to governmental petitions was investigated. Online data from Facebook were collected and analysed with respect to numbers of supporters compared to official signatures. The results indicate that although the process of signing an official petition is not more complex than joining a Facebook group, the membership of respective Facebook groups can be much higher. In particular, certain topics experienced very high support on Facebook which did not convert to signatures. The paper raises interesting questions about the potential uptake of citizen-government interactions in policy making mechanisms.The online research tool used for data collection in this paper was developed by Steven Sams who acknowledges support by the World Class University (WCU) program through the National Research Foundation of Korea. The program is funded by the Korean Ministry of Education, Science and Technology (No. 515-82-06574

PKI Interoperability: Still an Issue? A Solution in the X. 509 Realm

There exist many obstacles that slow the global adoption of public key infrastructure (PKI) technology. The PKI interoperability problem, being poorly understood, is one of the most confusing. In this paper, we clarify the PKI interoperability issue by exploring both the juridical and technical domains. We demonstrate the origin of the PKI interoperability problem by determining its root causes, the latter being legal, organizational and technical differences between countries, which mean that relying parties have no one to rely on. We explain how difficult it is to harmonize them. Finally, we propose to handle the interoperability problem from the trust management point of view, by introducing the role of a trust broker which is in charge of helping relying parties make informed decisions about X.509 certificates

Ethical aspects of e-commerce: data subjects and content

This paper reflects on the ethical challenges posed by Internet commerce, with special emphasis on those involving the content and the users of the information. The paper discusses the main ethical issues in e-commerce, including security, privacy, identity and nonrefutability of transactions. It proposes measures which both governments and the private sector could adopt to address those issues on different levels. Finally, the paper reflects on the creation of value by leveraging trust and proposes two universal principles to be upheld in Internet commerce: online-offline consistency and technological neutrality.Security; privacy; identity; nonrefutability; e-commerce ethics;

Sensor System for Rescue Robots

A majority of rescue worker fatalities are a result of on-scene responses. Existing technologies help assist the first responders in scenarios of no light, and there even exist robots that can navigate radioactive areas. However, none are able to be both quickly deployable and enter hard to reach or unsafe areas in an emergency event such as an earthquake or storm that damages a structure. In this project we created a sensor platform system to augment existing robotic solutions so that rescue workers can search for people in danger while avoiding preventable injury or death and saving time and resources. Our results showed that we were able to map out a 2D map of the room with updates for robot motion on a display while also showing a live thermal image in front of the system. The system is also capable of taking a digital picture from a triggering event and then displaying it on the computer screen. We discovered that data transfer plays a huge role in making different programs like Arduino and Processing interact with each other. Consequently, this needs to be accounted for when improving our project. In particular our project is wired right now but should deliver data wirelessly to be of any practical use. Furthermore, we dipped our feet into SLAM technologies and if our project were to become autonomous, more research into the algorithms would make this autonomy feasible

Survival prediction in mesothelioma using a scalable lasso regression model: instructions for use and initial performance using clinical predictors

Introduction: Accurate prognostication is difficult in malignant pleural mesothelioma (MPM). We developed a set of robust computational models to quantify the prognostic value of routinely available clinical data, which form the basis of published MPM prognostic models. Methods: Data regarding 269 patients with MPM were allocated to balanced training (n=169) and validation sets (n=100). Prognostic signatures (minimal length best performing multivariate trained models) were generated by least absolute shrinkage and selection operator regression for overall survival (OS), OS <6 months and OS <12 months. OS prediction was quantified using Somers DXY statistic, which varies from 0 to 1, with increasing concordance between observed and predicted outcomes. 6-month survival and 12-month survival were described by area under the curve (AUC) scores. Results: Median OS was 270 (IQR 140–450) days. The primary OS model assigned high weights to four predictors: age, performance status, white cell count and serum albumin, and after cross-validation performed significantly better than would be expected by chance (mean DXY0.332 (±0.019)). However, validation set DXY was only 0.221 (0.0935–0.346), equating to a 22% improvement in survival prediction than would be expected by chance. The 6-month and 12-month OS signatures included the same four predictors, in addition to epithelioid histology plus platelets and epithelioid histology plus C-reactive protein (mean AUC 0.758 (±0.022) and 0.737 (±0.012), respectively). The <6-month OS model demonstrated 74% sensitivity and 68% specificity. The <12-month OS model demonstrated 63% sensitivity and 79% specificity. Model content and performance were generally comparable with previous studies. Conclusions: The prognostic value of the basic clinical information contained in these, and previously published models, is fundamentally of limited value in accurately predicting MPM prognosis. The methods described are suitable for expansion using emerging predictors, including tumour genomics and volumetric staging

File forensics for RAW camera image formats

Recent research in multimedia forensics has developed a variety of methods to detect image tampering and to identify the origin of image files. Many of these techniques are based on characteristics in the JPEG format, as it is the most used file format for digital images. In recent years RAW image formats have gained popularity among amateur and professional photographers. This increase in their use and possible misuse makes these file formats an important subject to file forensic examinations. The aim of this paper is to explore to which extend methods previously developed for images in JPEG format can be applied to RAW image formats