Peru’s Shining Path: Recent Dynamics and Future Prospects

Although soundly defeated in the early to mid-1990s, Shining Path (Sendero Luminoso) did not disappear. Over the past five years, it has reemerged in a substantially different form, with both a military and a political component. The organization, once again coordinated by jailed leader Abimael Guzmán Reynoso, has eschewed shorter-term military objectives in favor of a longer-term strategy of slowly rebuilding popular support and establishing a party within the Peruvian political system. In so doing, it has also moved from extreme Maoist ideological rigidity to a more pragmatic, though perhaps only tactical, approach. Financial support is derived once again from cocaine production and trafficking in the Upper Huallaga Valley (UHV). Although there may be some individual exceptions, Shining Path is not a narcoterrorist organization. At the same time, Sendero is still very small, in no way a threat to the Peruvian state, and divided. The Lima-based political organization and the military wing in the UHV continue to follow Guzmán‟s leadership, while the Apurímac-Ene Valleys (VRAE) group remains committed to the armed struggle. The Government of Peru (GOP) response to date, both military and civilian, has been inadequate. VRAE military operations are hampered by poor leadership, ill-trained troops, and an outdated strategy. VRAE development resources have been cut, and the long-promised paved road remains in the planning stage. Without significant GOP adjustments, Shining Path is likely to continue to grow.

Quality of experience evaluation of voice communication: an affect-based approach

Voice communication systems such as Voice-over IP (VoIP), Public Switched Telephone Networks, and Mobile Telephone Networks, are an integral means of human tele-interaction. These systems pose distinctive challenges due to their unique characteristics such as low volume, burstiness and stringent delay/loss requirements across heterogeneous underlying network technologies. Effective quality evaluation methodologies are important for system development and refinement, particularly by adopting user feedback based measurement. Presently, most of the evaluation models are system-centric (Quality of Service or QoS-based), which questioned us to explore a user-centric (Quality of Experience or QoE-based) approach as a step towards the human-centric paradigm of system design. We research an affect-based QoE evaluation framework which attempts to capture users' perception while they are engaged in voice communication. Our modular approach consists of feature extraction from multiple information sources including various affective cues and different classification procedures such as Support Vector Machines (SVM) and k-Nearest Neighbor (kNN). The experimental study is illustrated in depth with detailed analysis of results. The evidences collected provide the potential feasibility of our approach for QoE evaluation and suggest the consideration of human affective attributes in modeling user experience.