A CleanRoom approach to bring your own apps

Today, on mobile devices such as smartphones and tablets, hundreds of thousands of software apps provide useful services to users. Users use these apps to search and browse the web, perform financial transactions, emailing, among other functions. Besides, these apps use cloud services which gives the users the flexibility to access them from anywhere and from any device. Because of the rich functionality of these apps and ease of use of mobile devices, users (employees) often want to use their devices and preferred apps at their workplace. However, these apps not only pose risk to user's private data but also to enterprise data, when users use them within an enterprise network. For one thing, these apps come from hundreds and thousands of different app publishers, where all of them may not be trustworthy. Second, apps often need user's private data such as location, contact list, photos among others and use remote cloud to carry out their operations. In the process apps may leak a user's private or enterprise confidential data to a third party. Current practices to prevent such leaks through user enabled app permissions fall short because often user does not understand these permissions. Besides, even if a company's "Bring Your Own Device" (BYOD) policies mitigate the risk of device compromise with enterprise-approved password policies, remote wipe capabilities, and OS security upgrade policies, the apps on those devices pose their own risks. This thesis presents CleanRoom, a new app platform that prevents apps from leaking the data entrusted to them. It does not rely on users to make good decisions about Privacy, and enables enterprises to allow its employees to use their own devices and bring their preferred apps to work.Computer Science

The Challenges and Opportunities of Social Media for Business

Social Media, in modern scenario, has provided a vital platform for business promotions, marketing, and spreading awareness. But even today, only a few people have the real knowledge about use of social media for positive moves in society and business. Mostly the top management of business, decision makers, and consultant are unaware of most of the features of the social media applications for making the business more profitable. This white paper highlights some of the challenges and opportunities of social media in making a business more profitable

Women Education in Ancient Times

In ancient time education for women was unique. They enjoyed high society and independence life in society. Even they were choice their husband, like Sita. The customs for early wedding and enforced widowhood were not prevalent in vedic India. There were so many learned women in ancient India. They were freely access their education in ancient time. The manuscript briefly highlights the status, specialties, and shortcomings of Women Education in Ancient Times

Review on Design of OTA Using Non-Conventional Analog Techniques

The OTA is an amplifier whose differential input voltage produces an output current. Thus, it is a voltage controlled current source. Operational transconductance amplifier is one of the most significant building-blocks in integrated continuous-time filters. A review of various non-conventional analog design techniques has been done in this paper. Several previous works have been studied and their comparison on various performance parameters is shown. This paper starts with the introduction of OTA, followed by the discussion on various OTA design techniques along with their block diagram in addition to advantages and disadvantages of these techniques. Two comparative tables are shown at the end

Factors influencing Janani Suraksha Yojana utilization in a Northern city of India

Background: Janani Suraksha Yojana (JSY) was launched by Government of India with an objective of increasing institutional delivery. After years of operationalization in the Union territory of Chandigarh, no studies have documented the extent of its utilization and in-turn, effectiveness of its implementation. The aim and objectives of the study was to ascertain the extent of utilization of JSY scheme and to explore the factors influencing its uptake.Methods: It was a community based cross-sectional mixed method concurrent study conducted from August 2012 to March 2014 in Chandigarh city. A total of 100 women residing in the catchment areas of primary and secondary level health care facilities of Chandigarh who gave birth in proceeding two years (2011 and 2012) were interviewed using a structured questionnaire and in-depth interview checklist by trained field investigators. Data analysis was done using SPSS software for windows (version 17).Results: A total of 100 mothers were approached out of which 94 delivered in institution and 34 received JSY benefit. Logistic regression model suggested that more than 3 ANC visits by women was significantly associated with the uptake of JSY benefit (OR= 17.4). The factors influencing decreased uptake of scheme were sub-optimal incentive, delayed payment, problem in arranging for a residence proof and lot of administrative paper work.Conclusions: Though the JSY scheme led to high rate of institutional delivery but the monetary incentive was not availed by most of the beneficiaries. There is a need to remove the bottlenecks and thus ensure smooth delivery of cash benefits.

Forens(om)ic medicine: omics in forensic medicine

The branch of science informally known as ‘omics’ are various branches in biology whose names end in the suffix omics such as proteomics, metabolomics, genomics, transcriptomics. The studies regarding the role of omics in various branches of medical field have become an upcoming area and its rising trend has been observed in the last decade. Omics has very recently emerged as an uprising field in forensic medicine also which is already known for its great participation with other branches like forensic toxicology, biochemistry, psychiatry, genetics. The use of state- of-the-art omics technologies has been explored in forensic medicine and sciences in establishing post mortem interval, drugs of abuse, intoxication and cause of death. The various forensic studies presently are aiming omics for future prospective. An elementary attempt has been made in this review article to briefly present the role and advantages of omics in forensic medicine. We, hereby, propose to call it forensomic medicine, to draw attention of the forensic professionals to this novel branch of science in order to encourage new studies to be used in medico legal applications

ProAlignNet : Unsupervised Learning for Progressively Aligning Noisy Contours

Contour shape alignment is a fundamental but challenging problem in computer vision, especially when the observations are partial, noisy, and largely misaligned. Recent ConvNet-based architectures that were proposed to align image structures tend to fail with contour representation of shapes, mostly due to the use of proximity-insensitive pixel-wise similarity measures as loss functions in their training processes. This work presents a novel ConvNet, "ProAlignNet" that accounts for large scale misalignments and complex transformations between the contour shapes. It infers the warp parameters in a multi-scale fashion with progressively increasing complex transformations over increasing scales. It learns --without supervision-- to align contours, agnostic to noise and missing parts, by training with a novel loss function which is derived an upperbound of a proximity-sensitive and local shape-dependent similarity metric that uses classical Morphological Chamfer Distance Transform. We evaluate the reliability of these proposals on a simulated MNIST noisy contours dataset via some basic sanity check experiments. Next, we demonstrate the effectiveness of the proposed models in two real-world applications of (i) aligning geo-parcel data to aerial image maps and (ii) refining coarsely annotated segmentation labels. In both applications, the proposed models consistently perform superior to state-of-the-art methods.Comment: Accepted at CVPR 202